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t.isNegative()?this.neg().div(t.neg()):this.neg().div(t).neg();if(t.isNegative())return this.div(t.neg()).neg();r=dn}for(o=this;o.gte(t);){s=Math.max(1,Math.floor(o.toNumber()/t.toNumber()));for(var a=Math.ceil(Math.log(s)/Math.LN2),c=a<=48?1:Sc(2,a-48),l=un(s),u=l.mul(t);u.isNegative()||u.gt(o);)s-=c,l=un(s,this.unsigned),u=l.mul(t);l.isZero()&&(l=Po),r=r.add(l),o=o.sub(u)}return r},et.div=et.divide,et.modulo=function(t){if(He(t)||(t=vn(t)),ln){var e=(this.unsigned?ln.rem_u:ln.rem_s)(this.low,this.high,t.low,t.high);return At(e,ln.get_high(),this.unsigned)}return this.sub(this.div(t).mul(t))},et.mod=et.modulo,et.rem=et.modulo,et.not=function(){return At(~this.low,~this.high,this.unsigned)},et.and=function(t){return He(t)||(t=vn(t)),At(this.low&t.low,this.high&t.high,this.unsigned)},et.or=function(t){return He(t)||(t=vn(t)),At(this.low|t.low,this.high|t.high,this.unsigned)},et.xor=function(t){return He(t)||(t=vn(t)),At(this.low^t.low,this.high^t.high,this.unsigned)},et.shiftLeft=function(t){return He(t)&&(t=t.toInt()),(t&=63)===0?this:t<32?At(this.low<>>32-t,this.unsigned):At(0,this.low<>>t|this.high<<32-t,this.high>>t,this.unsigned):At(this.high>>t-32,this.high>=0?0:-1,this.unsigned)},et.shr=et.shiftRight,et.shiftRightUnsigned=function(t){if(He(t)&&(t=t.toInt()),t&=63,t===0)return this;var e=this.high;if(t<32){var s=this.low;return At(s>>>t|e<<32-t,e>>>t,this.unsigned)}else return t===32?At(e,0,this.unsigned):At(e>>>t-32,0,this.unsigned)},et.shru=et.shiftRightUnsigned,et.shr_u=et.shiftRightUnsigned,et.toSigned=function(){return this.unsigned?At(this.low,this.high,!1):this},et.toUnsigned=function(){return this.unsigned?this:At(this.low,this.high,!0)},et.toBytes=function(t){return t?this.toBytesLE():this.toBytesBE()},et.toBytesLE=function(){var t=this.high,e=this.low;return[e&255,e>>>8&255,e>>>16&255,e>>>24,t&255,t>>>8&255,t>>>16&255,t>>>24]},et.toBytesBE=function(){var t=this.high,e=this.low;return[t>>>24,t>>>16&255,t>>>8&255,t&255,e>>>24,e>>>16&255,e>>>8&255,e&255]},Ot.fromBytes=function(t,e,s){return s?Ot.fromBytesLE(t,e):Ot.fromBytesBE(t,e)},Ot.fromBytesLE=function(t,e){return new Ot(t[0]|t[1]<<8|t[2]<<16|t[3]<<24,t[4]|t[5]<<8|t[6]<<16|t[7]<<24,e)},Ot.fromBytesBE=function(t,e){return new Ot(t[4]<<24|t[5]<<16|t[6]<<8|t[7],t[0]<<24|t[1]<<16|t[2]<<8|t[3],e)};const jf=gI(Pf),yI=QC({__proto__:null,default:jf},[Pf]);/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Us=jf||yI;function vc(n){return Us.fromString(n,!0,16)}const qf=vc("c3a5c85c97cb3127"),_s=vc("b492b66fbe98f273"),$e=vc("9ae16a3b2f90404f");function ju(n){return n.xor(n.shru(47))}function tm(n,t,e){const s=n.slice(t,t+e);return Us.fromBytes(Array.from(s),!0,!0)}function Et(n,t){return tm(n,t,8)}function em(n,t){return tm(n,t,4)}function fe(n,t){return t===0?n:n.shru(t).or(n.shl(64-t))}function ms(n,t,e=vc("9ddfea08eb382d69")){let s=n.xor(t).mul(e);s=s.xor(s.shru(47));let o=t.xor(s).mul(e);return o=o.xor(o.shru(47)),o=o.mul(e),o}function CI(n,t,e,s,o,r){o=o.add(n),r=fe(r.add(o).add(s),21);const i=o;return o=o.add(t),o=o.add(e),r=r.add(fe(o,44)),[o.add(s),r.add(i)]}function kc(n,t,e,s){return CI(Et(n,t),Et(n,t+8),Et(n,t+16),Et(n,t+24),e,s)}function II(n,t=n.length){if(t>=8){const e=$e.add(t*2),s=Et(n,0).add($e),o=Et(n,t-8),r=fe(o,37).mul(e).add(s),i=fe(s,25).add(o).mul(e);return ms(r,i,e)}if(t>=4){const e=$e.add(t*2),s=em(n,0);return ms(s.shl(3).add(t),em(n,t-4),e)}if(t>0){const e=n[0],s=n[t>>1],o=n[t-1],r=e+(s<<8),i=t+(o<<2);return ju($e.mul(r).xor(qf.mul(i))).mul($e)}return $e}function wI(n,t=n.length){const e=$e.add(t*2),s=Et(n,0).mul(_s),o=Et(n,8),r=Et(n,t-8).mul(e),i=Et(n,t-16).mul($e);return ms(fe(s.add(o),43).add(fe(r,30)).add(i),s.add(fe(o.add($e),18)).add(r),e)}function SI(n,t=n.length){const e=$e.add(t*2),s=Et(n,0).mul($e),o=Et(n,8),r=Et(n,t-8).mul(e),i=Et(n,t-16).mul($e),a=fe(s.add(o),43).add(fe(r,30)).add(i),c=ms(a,s.add(fe(o.add($e),18)).add(r),e),l=Et(n,16).mul(e),u=Et(n,24),d=a.add(Et(n,t-32)).mul(e),h=c.add(Et(n,t-24)).mul(e);return ms(fe(l.add(u),43).add(fe(d,30)).add(h),l.add(fe(u.add(s),18)).add(d),e)}function vI(n,t=n.length){const e=Us.fromNumber(81,!0);if(t<=32)return t<=16?II(n,t):wI(n,t);if(t<=64)return SI(n,t);let s=e,o=e.mul(_s).add(113),r=ju(o.mul($e).add(113)).mul($e),i=[Us.UZERO,Us.UZERO],a=[Us.UZERO,Us.UZERO];s=s.mul($e).add(Et(n,0));let c=0;const l=(t-1>>6)*64,u=l+(t-1&63)-63;do s=fe(s.add(o).add(i[0]).add(Et(n,c+8)),37).mul(_s),o=fe(o.add(i[1]).add(Et(n,c+48)),42).mul(_s),s=s.xor(a[1]),o=o.add(i[0]).add(Et(n,c+40)),r=fe(r.add(a[0]),33).mul(_s),i=kc(n,c,i[1].mul(_s),s.add(a[0])),a=kc(n,c+32,r.add(a[1]),o.add(Et(n,c+16))),[r,s]=[s,r],c+=64;while(c!==l);const d=_s.add(r.and(255).shl(1));return c=u,a[0]=a[0].add(t-1&63),i[0]=i[0].add(a[0]),a[0]=a[0].add(i[0]),s=fe(s.add(o).add(i[0]).add(Et(n,c+8)),37).mul(d),o=fe(o.add(i[1]).add(Et(n,c+48)),42).mul(d),s=s.xor(a[1].mul(9)),o=o.add(i[0].mul(9).add(Et(n,c+40))),r=fe(r.add(a[0]),33).mul(d),i=kc(n,c,i[1].mul(d),s.add(a[0])),a=kc(n,c+32,r.add(a[1]),o.add(Et(n,c+16))),[r,s]=[s,r],ms(ms(i[0],a[0],d).add(ju(o).mul(qf)).add(r),ms(i[1],a[1],d).add(s),d)}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function gs(n,t){return t==="string"?bs(n):Ys([n],t)}function kI(n,t){return n instanceof Float32Array&&t==="float32"||n instanceof Int32Array&&t==="int32"||n instanceof Uint8Array&&t==="bool"}function Ys(n,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(n)&&(n=Qs(n)),V().getBool("DEBUG")&&eI(n,t),kI(n,t))return n;if(t==null||t==="float32"||t==="complex64")return new Float32Array(n);if(t==="int32")return new Int32Array(n);if(t==="bool"){const e=new Uint8Array(n.length);for(let s=0;s{o=s()};let i;const a=Ee();if(this.backendTimer.timerAvailable())i=this.backendTimer.time(r);else{r();for(const l of o)l.dataSync();i=Promise.resolve({kernelMs:Ee()-a})}if(V().getBool("CHECK_COMPUTATION_FOR_ERRORS"))for(let l=0;l{NI(d,u.dtype,t)})}return{kernelName:t,outputs:o,inputs:e,timeMs:i.then(l=>l.kernelMs),extraInfo:i.then(l=>l.getExtraProfileInfo!=null?l.getExtraProfileInfo():"")}}logKernelProfile(t){const{kernelName:e,outputs:s,timeMs:o,inputs:r,extraInfo:i}=t;s.forEach(a=>{Promise.all([a.data(),o,i]).then(c=>{this.logger.logKernelProfile(e,a,c[0],c[1],r,c[2])})})}}function NI(n,t,e){if(t!=="float32")return!1;for(let s=0;s0?m:""} `}}console.log(`%c${c} %c${a} %c${l}D ${d} %c${u} %c${h} %c${i}`,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")}}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function GI(n,t,e){const s={},o={};for(let c=0;cs[m.id]=!0),p=!0,o[l.id]=!0;break}if(p)break}}const r={};r[e.id]=!0;const i={};for(let c=n.length-1;c>=0;c--){const l=n[c],u=l.inputs;for(let d=0;d=0;o--){const r=t[o],i=[];if(r.outputs.forEach(c=>{const l=n[c.id];l!=null?i.push(l):i.push(null)}),r.gradient==null)throw new Error(`Cannot compute gradient: gradient function not found for ${r.kernelName}.`);const a=r.gradient(i);for(const c in r.inputs){if(!(c in a))throw new Error(`Cannot backprop through input ${c}. Available gradients found: ${Object.keys(a)}.`);const l=e(()=>a[c]());if(l.dtype!=="float32")throw new Error(`Error in gradient for op ${r.kernelName}. The gradient of input ${c} must have 'float32' dtype, but has '${l.dtype}'`);const u=r.inputs[c];if(!Rt(l.shape,u.shape))throw new Error(`Error in gradient for op ${r.kernelName}. The gradient of input '${c}' has shape '${l.shape}', which does not match the shape of the input '${u.shape}'`);if(n[u.id]==null)n[u.id]=l;else{const d=n[u.id];n[u.id]=s(d,l),d.dispose()}}}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const nm=20,yi=3,qu=7;function $I(n,t,e,s){const o=ct(t),r=WI(n,t,e,o),i=t.length,a=Tc(n,t,e,o,r),c=["Tensor"];return s&&(c.push(` dtype: ${e}`),c.push(` rank: ${i}`),c.push(` shape: [${t}]`),c.push(" values:")),c.push(a.map(l=>" "+l).join(` `)),c.join(` `)}function WI(n,t,e,s){const o=A(t),r=s[s.length-1],i=new Array(r).fill(0),a=t.length,c=e==="complex64"?Ii(n):n;if(a>1)for(let l=0;lnm){const g=yi*i;let b=Array.from(n.slice(0,g)),x=Array.from(n.slice((a-yi)*i,a*i));return e==="complex64"&&(b=Ii(b),x=Ii(x)),["["+b.map((C,y)=>Ci(C,o[y],e)).join(", ")+", ..., "+x.map((C,y)=>Ci(C,o[a-yi+y],e)).join(", ")+"]"]}return["["+(e==="complex64"?Ii(n):Array.from(n)).map((g,b)=>Ci(g,o[b],e)).join(", ")+"]"]}const l=t.slice(1),u=s.slice(1),d=s[0]*i,h=[];if(a>nm){for(let m=0;m0?h[0]+p:"");for(let m=1;m`Length of values '${o}' does not match the size inferred by the shape '${this.size}'.`)}if(e==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=s||qt(e,this.size),this.strides=ct(t)}set(t,...e){e.length===0&&(e=[0]),S(e.length===this.rank,()=>`The number of provided coordinates (${e.length}) must match the rank (${this.rank})`);const s=this.locToIndex(e);this.values[s]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(const o of t){if(o<0||o>=this.shape[e]){const r=`Requested out of range element at ${t}. Buffer shape=${this.shape}`;throw new Error(r)}e++}let s=t[t.length-1];for(let o=0;oxs(s))}catch{throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return t}dataToGPU(t){return this.throwIfDisposed(),kn().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();const t=kn().readSync(this.dataId);if(this.dtype==="string")try{return t.map(e=>xs(e))}catch{throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t}async bytes(){this.throwIfDisposed();const t=await kn().read(this.dataId);return this.dtype==="string"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(this.kerasMask&&this.kerasMask.dispose(),kn().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(t=!1){return Oo.print(this,t)}clone(){return this.throwIfDisposed(),Oo.clone(this)}toString(t=!1){const e=this.dataSync();return $I(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),Oo.cast(this,t)}variable(t=!0,e,s){return this.throwIfDisposed(),kn().makeVariable(this,t,e,s)}}Object.defineProperty(ae,Symbol.hasInstance,{value:n=>!!n&&n.data!=null&&n.dataSync!=null&&n.throwIfDisposed!=null});function P(){return su("Tensor",()=>ae)}P();class Nc extends ae{constructor(t,e,s,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=s}assign(t){if(t.dtype!==this.dtype)throw new Error(`dtype of the new value (${t.dtype}) and previous value (${this.dtype}) must match`);if(!Rt(t.shape,this.shape))throw new Error(`shape of the new value (${t.shape}) and previous value (${this.shape}) must match`);kn().disposeTensor(this),this.dataId=t.dataId,kn().incRef(this,null)}dispose(){kn().disposeVariable(this),this.isDisposedInternal=!0}}Object.defineProperty(Nc,Symbol.hasInstance,{value:n=>n instanceof ae&&n.assign!=null&&n.assign instanceof Function});/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */var om;(function(n){n.R0="R0",n.R1="R1",n.R2="R2",n.R3="R3",n.R4="R4",n.R5="R5",n.R6="R6"})(om||(om={}));var td;(function(n){n.float32="float32",n.int32="int32",n.bool="int32",n.complex64="complex64"})(td||(td={}));var ed;(function(n){n.float32="float32",n.int32="int32",n.bool="bool",n.complex64="complex64"})(ed||(ed={}));var nd;(function(n){n.float32="float32",n.int32="float32",n.bool="float32",n.complex64="complex64"})(nd||(nd={}));var sd;(function(n){n.float32="complex64",n.int32="complex64",n.bool="complex64",n.complex64="complex64"})(sd||(sd={}));const zI={float32:nd,int32:td,bool:ed,complex64:sd};function Ue(n,t){if(n==="string"||t==="string"){if(n==="string"&&t==="string")return"string";throw new Error(`Can not upcast ${n} with ${t}`)}return zI[n][t]}function od(n){return Ue(n,"int32")}function rm(n){return n!=null&&typeof n=="object"&&"texture"in n&&n.texture instanceof WebGLTexture}function im(n){return typeof GPUBuffer<"u"&&n!=null&&typeof n=="object"&&"buffer"in n&&n.buffer instanceof GPUBuffer}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function te(n,t){if(n.dtype===t.dtype)return[n,t];const e=Ue(n.dtype,t.dtype);return[n.cast(e),t.cast(e)]}function am(n){const t=[];return cm(n,t,new Set),t}function cm(n,t,e){if(n==null)return;if(n instanceof ae){t.push(n);return}if(!VI(n))return;const s=n;for(const o in s){const r=s[o];e.has(r)||(e.add(r),cm(r,t,e))}}function VI(n){return Array.isArray(n)||typeof n=="object"}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function rd(n){return n.kernelName!=null}class lm{constructor(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null,get kernelNames(){return Array.from(new Set(this.kernels.map(t=>t.name)))}}}dispose(){for(const t in this.registeredVariables)this.registeredVariables[t].dispose()}}class Ao{constructor(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new lm}async ready(){if(this.pendingBackendInit!=null)return this.pendingBackendInit.then(()=>{});if(this.backendInstance!=null)return;const t=this.getSortedBackends();for(let e=0;e{e.setupFunc!=null&&e.setupFunc(this.backendInstance)})}disposeRegisteredKernels(t){Zf(t).forEach(s=>{s.disposeFunc!=null&&s.disposeFunc(this.registry[t])})}initializeBackend(t){const e=this.registryFactory[t];if(e==null)throw new Error(`Cannot initialize backend ${t}, no registration found.`);try{const s=e.factory();if(s&&!(s instanceof Hl)&&typeof s.then=="function"){const o=++this.pendingBackendInitId,r=s.then(i=>o(othis.registryFactory[e].priority-this.registryFactory[t].priority)}initializeBackendsAndReturnBest(){const t=this.getSortedBackends();for(let e=0;ethis.startScope(s),()=>this.endScope(o),()=>(o=e(),o instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),o))}scopedRun(t,e,s){t();try{const o=s();return e(),o}catch(o){throw e(),o}}nextTensorId(){return Ao.nextTensorId++}nextVariableId(){return Ao.nextVariableId++}clone(t){const e=$.runKernel(Ar,{x:t}),s={x:t},o=i=>({x:()=>{const a="float32",c={x:i},l={dtype:a};return $.runKernel($r,c,l)}}),r=[];return this.addTapeNode(this.state.activeScope.name,s,[e],o,r,{}),e}runKernel(t,e,s){if(this.backendName==null&&this.backend,!(Yu(t,this.backendName)!=null))throw new Error(`Kernel '${t}' not registered for backend '${this.backendName}'`);return this.runKernelFunc({kernelName:t,inputs:e,attrs:s})}shouldCheckForMemLeaks(){return this.ENV.getBool("IS_TEST")}checkKernelForMemLeak(t,e,s){const o=this.backend.numDataIds();let r=0;s.forEach(c=>{r+=c.dtype==="complex64"?3:1});const i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],a=o-e-r-i;if(a>0)throw new Error(`Backend '${this.backendName}' has an internal memory leak (${a} data ids) after running '${t}'`)}runKernelFunc(t){let e,s=[];const o=this.isTapeOn(),r=this.state.numBytes,i=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);let a;this.backendName==null&&this.backend;let c;const l=rd(t)?t.kernelName:this.state.activeScope!=null?this.state.activeScope.name:"";if(rd(t)){const{kernelName:f,inputs:m,attrs:g}=t;this.backendName==null&&this.backend;const b=Yu(f,this.backendName);S(b!=null,()=>`Cannot find registered kernel '${f}' for backend '${this.backendName}'`),a=()=>{const x=this.backend.numDataIds();c=b.kernelFunc({inputs:m,attrs:g,backend:this.backend});const C=Array.isArray(c)?c:[c];this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(f,x,C);const y=C.map(I=>I.rank!=null?I:this.makeTensorFromTensorInfo(I));if(o){const I=this.getTensorsForGradient(f,m,y);s=this.saveTensorsForBackwardMode(I)}return y}}else{const{forwardFunc:f}=t,m=g=>{o&&(s=g.map(b=>this.keep(this.clone(b))))};a=()=>{const g=this.backend.numDataIds();c=this.tidy(()=>f(this.backend,m));const b=Array.isArray(c)?c:[c];return this.shouldCheckForMemLeaks()&&this.checkKernelForMemLeak(l,g,b),b}}const{inputs:u,attrs:d}=t,h=rd(t)?null:t.backwardsFunc;let p;return this.scopedRun(()=>this.state.kernelDepth++,()=>this.state.kernelDepth--,()=>{!this.ENV.getBool("DEBUG")&&!this.state.profiling?e=a():(p=this.profiler.profileKernel(l,u,()=>a()),this.ENV.getBool("DEBUG")&&this.profiler.logKernelProfile(p),e=p.outputs)}),o&&this.addTapeNode(l,u,e,h,s,d),this.state.profiling&&this.state.activeProfile.kernels.push({name:l,bytesAdded:this.state.numBytes-r,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-i,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(u).map(f=>u[f]!=null?u[f].shape:null),outputShapes:e.map(f=>f.shape),kernelTimeMs:p.timeMs,extraInfo:p.extraInfo}),Array.isArray(c)?e:e[0]}saveTensorsForBackwardMode(t){return t.map(s=>this.keep(this.clone(s)))}getTensorsForGradient(t,e,s){const o=Kf(t);if(o!=null){const r=o.inputsToSave||[],i=o.outputsToSave||[];let a;o.saveAllInputs?(S(Array.isArray(e),()=>"saveAllInputs is true, expected inputs to be an array."),a=Object.keys(e).map(l=>e[l])):a=r.map(l=>e[l]);const c=s.filter((l,u)=>i[u]);return a.concat(c)}return[]}makeTensor(t,e,s,o){if(t==null)throw new Error("Values passed to engine.makeTensor() are null");s=s||"float32",o=o||this.backend;let r=t;s==="string"&&Sr(t[0])&&(r=t.map(c=>bs(c)));const i=o.write(r,e,s),a=new ae(e,s,i,this.nextTensorId());if(this.trackTensor(a,o),s==="string"){const c=this.state.tensorInfo.get(i),l=sI(r);this.state.numBytes+=l-c.bytes,c.bytes=l}return a}makeTensorFromDataId(t,e,s,o){s=s||"float32";const r={dataId:t,shape:e,dtype:s};return this.makeTensorFromTensorInfo(r,o)}makeTensorFromTensorInfo(t,e){const{dataId:s,shape:o,dtype:r}=t,i=new ae(o,r,s,this.nextTensorId());return this.trackTensor(i,e),i}makeVariable(t,e=!0,s,o){s=s||this.nextVariableId().toString(),o!=null&&o!==t.dtype&&(t=t.cast(o));const r=new Nc(t,e,s,this.nextTensorId());if(this.state.registeredVariables[r.name]!=null)throw new Error(`Variable with name ${r.name} was already registered`);return this.state.registeredVariables[r.name]=r,this.incRef(r,this.backend),r}trackTensor(t,e){this.state.numTensors++,t.dtype==="string"&&this.state.numStringTensors++;let s=0;t.dtype!=="complex64"&&t.dtype!=="string"&&(s=t.size*ya(t.dtype)),this.state.numBytes+=s,this.state.tensorInfo.has(t.dataId)||(this.state.numDataBuffers++,this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:s})),t instanceof Nc||this.track(t)}incRef(t,e){this.trackTensor(t,e),this.backend.incRef(t.dataId)}removeDataId(t,e){this.state.tensorInfo.has(t)&&this.state.tensorInfo.get(t).backend===e&&(this.state.tensorInfo.delete(t),this.state.numDataBuffers--)}disposeTensor(t){if(!this.state.tensorInfo.has(t.dataId))return;const e=this.state.tensorInfo.get(t.dataId);if(this.state.numTensors--,t.dtype==="string"&&(this.state.numStringTensors--,this.state.numBytes-=e.bytes),t.dtype!=="complex64"&&t.dtype!=="string"){const s=t.size*ya(t.dtype);this.state.numBytes-=s}e.backend.disposeData(t.dataId)&&this.removeDataId(t.dataId,e.backend)}disposeVariables(){for(const t in this.state.registeredVariables){const e=this.state.registeredVariables[t];this.disposeVariable(e)}}disposeVariable(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]}memory(){const t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t}async profile(t){this.state.profiling=!0;const e=this.state.numBytes,s=this.state.numTensors;this.state.activeProfile.kernels=[],this.state.activeProfile.result=await t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max(...this.state.activeProfile.kernels.map(o=>o.totalBytesSnapshot)),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-s;for(const o of this.state.activeProfile.kernels)o.kernelTimeMs=await o.kernelTimeMs,o.extraInfo=await o.extraInfo;return this.state.activeProfile}isTapeOn(){return this.state.gradientDepth>0&&this.state.kernelDepth===0}addTapeNode(t,e,s,o,r,i){const a={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:s,saved:r},c=Kf(t);c!=null&&(o=c.gradFunc),o!=null&&(a.gradient=l=>(l=l.map((u,d)=>{if(u==null){const h=s[d],p=Te(h.size,h.dtype);return this.makeTensor(p,h.shape,h.dtype)}return u}),o(l.length>1?l:l[0],r,i))),this.state.activeTape.push(a)}keep(t){return t.kept=!0,t}startTape(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++}endTape(){this.state.gradientDepth--}startScope(t){const e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e}endScope(t){const e=am(t),s=new Set(e.map(r=>r.id));for(let r=0;r{!r.kept&&r.scopeId===o.id&&this.track(r)})}gradients(t,e,s,o=!1){if(S(e.length>0,()=>"gradients() received an empty list of xs."),s!=null&&s.dtype!=="float32")throw new Error(`dy must have 'float32' dtype, but has '${s.dtype}'`);const r=this.scopedRun(()=>this.startTape(),()=>this.endTape(),()=>this.tidy("forward",t));S(r instanceof ae,()=>"The result y returned by f() must be a tensor.");const i=GI(this.state.activeTape,e,r);if(!o&&i.length===0&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",()=>{const a={};a[r.id]=s??EI(r.shape),LI(a,i,l=>this.tidy(l),KI);const c=e.map(l=>a[l.id]);return this.state.gradientDepth===0&&(this.state.activeTape.forEach(l=>{for(const u of l.saved)u.dispose()}),this.state.activeTape=null),{value:r,grads:c}})}customGrad(t){return S(jl(t),()=>"The f passed in customGrad(f) must be a function."),(...e)=>{S(e.every(a=>a instanceof ae),()=>"The args passed in customGrad(f)(x1, x2,...) must all be tensors");let s;const o={};e.forEach((a,c)=>{o[c]=a});const r=(a,c)=>(s=t(...e,c),S(s.value instanceof ae,()=>"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"),S(jl(s.gradFunc),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."),s.value),i=(a,c)=>{const l=s.gradFunc(a,c),u=Array.isArray(l)?l:[l];S(u.length===e.length,()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."),S(u.every(h=>h instanceof ae),()=>"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.");const d={};return u.forEach((h,p)=>{d[p]=()=>h}),d};return this.runKernelFunc({forwardFunc:r,backwardsFunc:i,inputs:o})}}readSync(t){return this.state.tensorInfo.get(t).backend.readSync(t)}read(t){return this.state.tensorInfo.get(t).backend.read(t)}readToGPU(t,e){return this.state.tensorInfo.get(t).backend.readToGPU(t,e)}async time(t){const e=Ee(),s=await this.backend.time(t);return s.wallMs=Ee()-e,s}track(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t}get registeredVariables(){return this.state.registeredVariables}reset(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new lm;for(const t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null}}Ao.nextTensorId=0,Ao.nextVariableId=0;function EI(n){const t=tu(A(n),"float32");return $.makeTensor(t,n,"float32")}function um(){const n=gf();if(n._tfengine==null){const t=new iI(n);n._tfengine=new Ao(t)}return uI(n._tfengine.ENV),XI(()=>n._tfengine),n._tfengine}const $=um();function KI(n,t){const e={a:n,b:t};return $.runKernel(Zo,e)}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ZI(){return typeof navigator<"u"&&navigator!=null}function dm(n){if(n||ZI()){if(n||(n=navigator),n.product==="ReactNative")return!0;const t=n.userAgent||n.vendor||(typeof window<"u"?window.opera:"");if(!t){const e=n;return e.userAgentData&&e.userAgentData.mobile}return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(t)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(t.substr(0,4))}return!1}function hm(){return typeof window<"u"&&window.document!=null||typeof WorkerGlobalScope<"u"}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ke=V();Ke.registerFlag("DEBUG",()=>!1,n=>{n&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function wi(n,t){let e=n;if(hn(n))return t==="string"?[]:[n.length];if(rm(n)){const o=n.channels||"RGBA";return[n.height,n.width*o.length]}else if(im(n))return[n.buffer.size/(t==null?4:ya(t))];if(!Array.isArray(n))return[];const s=[];for(;Array.isArray(e)||hn(e)&&t!=="string";)s.push(e.length),e=e[0];return Array.isArray(n)&&V().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&pm(n,s,[]),s}function pm(n,t,e){if(e=e||[],!Array.isArray(n)&&!hn(n)){S(t.length===0,()=>`Element arr[${e.join("][")}] is a primitive, but should be an array/TypedArray of ${t[0]} elements`);return}S(t.length>0,()=>`Element arr[${e.join("][")}] should be a primitive, but is an array of ${n.length} elements`),S(n.length===t[0],()=>`Element arr[${e.join("][")}] should have ${t[0]} elements, but has ${n.length} elements`);const s=t.slice(1);for(let o=0;o=0&&(o=s),fm(s,o,t,e),n==null||!hn(n)&&!Array.isArray(n)&&typeof n!="number"&&typeof n!="boolean"&&typeof n!="string"){const c=n==null?"null":n.constructor.name;throw new Error(`Argument '${t}' passed to '${e}' must be a Tensor or TensorLike, but got '${c}'`)}const r=wi(n,o);!hn(n)&&!Array.isArray(n)&&(n=[n]);const a=o!=="string"?Ys(n,o):Qs(n,[],!0);return $.makeTensor(a,r,o)}function mm(n,t,e,s="numeric"){if(!Array.isArray(n))throw new Error(`Argument ${t} passed to ${e} must be a \`Tensor[]\` or \`TensorLike[]\``);return n.map((r,i)=>N(r,`${t}[${i}]`,e,s))}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const FI="__op";function M(n){const t=Object.keys(n);if(t.length!==1)throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${t.length} keys.`);let e=t[0];const s=n[e];e.endsWith("_")&&(e=e.substring(0,e.length-1)),e=e+FI;const o=(...r)=>{$.startScope(e);try{const i=s(...r);return eu(i)&&console.error("Cannot return a Promise inside of tidy."),$.endScope(i),i}catch(i){throw $.endScope(null),i}};return Object.defineProperty(o,"name",{value:e,configurable:!0}),o}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function DI(n,t){const e=N(n,"real","complex"),s=N(t,"imag","complex");_l(e.shape,s.shape,`real and imag shapes, ${e.shape} and ${s.shape}, must match in call to tf.complex().`);const o={real:e,imag:s};return $.runKernel(du,o)}const Ho=M({complex_:DI});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Si(n,t,e,s){if(s==null)s=Eo(n);else if(s==="complex64")throw new Error("Cannot construct a complex64 tensor directly. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function tn(n,t,e){const s=wi(n,e);return Si(n,t,s,e)}class ys{static join(t){return new ys(t).slice()}constructor(t){if(this.shards=[],this.previousShardIndex=0,t==null||(t instanceof Array||(t=[t]),t=t.map(s=>hn(s)?s.buffer:s),t.length===0))return;this.bufferUniformSize=t[0].byteLength;let e=0;for(let s=0;s=this.byteLength)return-1;if(this.bufferUniformSize!=null)return this.previousShardIndex=Math.floor(t/this.bufferUniformSize),this.previousShardIndex;function e(o){return t=o.end?1:0}if(e(this.shards[this.previousShardIndex])===0)return this.previousShardIndex;const s=PI(this.shards,e);return s===-1?-1:(this.previousShardIndex=s,this.previousShardIndex)}}function PI(n,t){let e=0,s=n.length;for(;e<=s;){const o=Math.floor((s-e)/2)+e,r=t(n[o]);if(r===0)return o;r<0?s=o:e=o+1}return-1}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Kt(){return $}function id(){return $.memory()}function X(n,t){return $.tidy(n,t)}function St(n){am(n).forEach(e=>e.dispose())}function en(n){return $.keep(n)}function ad(){return $.ready()}function gm(n,t,e=1){return $.registerBackend(n,t,e)}function Cs(){return $.backend}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const bm=4;async function xm(n,t){const e=[],s=[],o=Array.isArray(n)?n.map(i=>i.name):Object.keys(n);for(let i=0;i{const h=await c.bytes(),p=h.reduce((g,b)=>g+b.length,0)+bm*h.length,f=new Uint8Array(p);let m=0;for(let g=0;g{if(t+=r.byteLength,e.push(r.byteLength===r.buffer.byteLength?r:new r.constructor(r)),!(r instanceof Float32Array||r instanceof Int32Array||r instanceof Uint8Array))throw new Error(`Unsupported TypedArray subtype: ${r.constructor.name}`)});const s=new Uint8Array(t);let o=0;return e.forEach(r=>{s.set(new Uint8Array(r.buffer),o),o+=r.byteLength}),s.buffer}const cd=typeof Buffer<"u"&&(typeof Blob>"u"||typeof atob>"u"||typeof btoa>"u");function ym(n){return cd?Buffer.byteLength(n,"utf8"):new Blob([n]).size}function AI(n){if(cd)return Buffer.from(n).toString("base64");const t=new Uint8Array(n);let e="";for(let s=0,o=t.length;s{const a=i(t,s);a!==null&&o.push(a)}),o}}const YI=n=>me.getSaveHandlers(n);/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ld="tensorflowjs",ud=1,Js="models_store",Is="model_info_store";function wm(){if(!V().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");const n=typeof window>"u"?self:window,t=n.indexedDB||n.mozIndexedDB||n.webkitIndexedDB||n.msIndexedDB||n.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function dd(n){const t=n.result;t.createObjectStore(Js,{keyPath:"modelPath"}),t.createObjectStore(Is,{keyPath:"modelPath"})}class js{constructor(t){if(this.indexedDB=wm(),t==null||!t)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=t}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return this.databaseAction(this.modelPath,t)}async load(){return this.databaseAction(this.modelPath)}databaseAction(t,e){return new Promise((s,o)=>{const r=this.indexedDB.open(ld,ud);r.onupgradeneeded=()=>dd(r),r.onsuccess=()=>{const i=r.result;if(e==null){const a=i.transaction(Js,"readonly"),l=a.objectStore(Js).get(this.modelPath);l.onsuccess=()=>{if(l.result==null)return i.close(),o(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));s(l.result.modelArtifacts)},l.onerror=u=>(i.close(),o(l.error)),a.oncomplete=()=>i.close()}else{e.weightData=ys.join(e.weightData);const a=Rc(e),c=i.transaction(Is,"readwrite");let l=c.objectStore(Is),u;try{u=l.put({modelPath:this.modelPath,modelArtifactsInfo:a})}catch(h){return o(h)}let d;u.onsuccess=()=>{d=i.transaction(Js,"readwrite");const h=d.objectStore(Js);let p;try{p=h.put({modelPath:this.modelPath,modelArtifacts:e,modelArtifactsInfo:a})}catch(f){return o(f)}p.onsuccess=()=>s({modelArtifactsInfo:a}),p.onerror=f=>{l=c.objectStore(Is);const m=l.delete(this.modelPath);m.onsuccess=()=>(i.close(),o(p.error)),m.onerror=g=>(i.close(),o(p.error))}},u.onerror=h=>(i.close(),o(u.error)),c.oncomplete=()=>{d==null?i.close():d.oncomplete=()=>i.close()}}},r.onerror=i=>o(r.error)})}}js.URL_SCHEME="indexeddb://";const Sm=n=>V().getBool("IS_BROWSER")&&!Array.isArray(n)&&n.startsWith(js.URL_SCHEME)?QI(n.slice(js.URL_SCHEME.length)):null;me.registerSaveRouter(Sm),me.registerLoadRouter(Sm);function QI(n){return new js(n)}function JI(n){return n.startsWith(js.URL_SCHEME)?n.slice(js.URL_SCHEME.length):n}class jI{constructor(){this.indexedDB=wm()}async listModels(){return new Promise((t,e)=>{const s=this.indexedDB.open(ld,ud);s.onupgradeneeded=()=>dd(s),s.onsuccess=()=>{const o=s.result,r=o.transaction(Is,"readonly"),a=r.objectStore(Is).getAll();a.onsuccess=()=>{const c={};for(const l of a.result)c[l.modelPath]=l.modelArtifactsInfo;t(c)},a.onerror=c=>(o.close(),e(a.error)),r.oncomplete=()=>o.close()},s.onerror=o=>e(s.error)})}async removeModel(t){return t=JI(t),new Promise((e,s)=>{const o=this.indexedDB.open(ld,ud);o.onupgradeneeded=()=>dd(o),o.onsuccess=()=>{const r=o.result,i=r.transaction(Is,"readwrite"),a=i.objectStore(Is),c=a.get(t);let l;c.onsuccess=()=>{if(c.result==null)return r.close(),s(new Error(`Cannot find model with path '${t}' in IndexedDB.`));{const u=a.delete(t),d=()=>{l=r.transaction(Js,"readwrite");const p=l.objectStore(Js).delete(t);p.onsuccess=()=>e(c.result.modelArtifactsInfo),p.onerror=f=>s(c.error)};u.onsuccess=d,u.onerror=h=>(d(),r.close(),s(c.error))}},c.onerror=u=>(r.close(),s(c.error)),i.oncomplete=()=>{l==null?r.close():l.oncomplete=()=>r.close()}},o.onerror=r=>s(o.error)})}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ns="/",Bo="tensorflowjs_models",vm="info",qI="model_topology",t2="weight_specs",e2="weight_data",n2="model_metadata";function km(n){return{info:[Bo,n,vm].join(ns),topology:[Bo,n,qI].join(ns),weightSpecs:[Bo,n,t2].join(ns),weightData:[Bo,n,e2].join(ns),modelMetadata:[Bo,n,n2].join(ns)}}function Tm(n){for(const t of Object.values(n))window.localStorage.removeItem(t)}function s2(n){const t=n.split(ns);if(t.length<3)throw new Error(`Invalid key format: ${n}`);return t.slice(1,t.length-1).join(ns)}function o2(n){return n.startsWith(qs.URL_SCHEME)?n.slice(qs.URL_SCHEME.length):n}class qs{constructor(t){if(!V().getBool("IS_BROWSER")||typeof window>"u"||typeof window.localStorage>"u")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,t==null||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=km(this.modelPath)}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");{const e=JSON.stringify(t.modelTopology),s=JSON.stringify(t.weightSpecs),o=Rc(t),r=ys.join(t.weightData);try{this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,s),this.LS.setItem(this.keys.weightData,AI(r));const i={format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,signature:t.signature!=null?t.signature:void 0,userDefinedMetadata:t.userDefinedMetadata!=null?t.userDefinedMetadata:void 0,modelInitializer:t.modelInitializer!=null?t.modelInitializer:void 0,initializerSignature:t.initializerSignature!=null?t.initializerSignature:void 0,trainingConfig:t.trainingConfig!=null?t.trainingConfig:void 0};return this.LS.setItem(this.keys.modelMetadata,JSON.stringify(i)),{modelArtifactsInfo:o}}catch{throw Tm(this.keys),new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${o.modelTopologyBytes}, 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class a2{constructor(){this.messageName="setTimeoutCustom",this.functionRefs=[],this.handledMessageCount=0,this.hasEventListener=!1}fetch(t,e){return fetch(t,e)}now(){return performance.now()}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Browser's encoder only supports utf-8, but got ${e}`);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)}decode(t,e){return new TextDecoder(e).decode(t)}setTimeoutCustom(t,e){if(typeof window>"u"||!V().getBool("USE_SETTIMEOUTCUSTOM")){setTimeout(t,e);return}this.functionRefs.push(t),setTimeout(()=>{window.postMessage({name:this.messageName,index:this.functionRefs.length-1},"*")},e),this.hasEventListener||(this.hasEventListener=!0,window.addEventListener("message",s=>{if(s.source===window&&s.data.name===this.messageName){s.stopPropagation();const o=this.functionRefs[s.data.index];o(),this.handledMessageCount++,this.handledMessageCount===this.functionRefs.length&&(this.functionRefs=[],this.handledMessageCount=0)}},!0))}isTypedArray(t){return Df(t)}}if(V().get("IS_BROWSER")){V().setPlatform("browser",new a2);try{Kn.registerManager(qs.URL_SCHEME,new i2)}catch{}try{Kn.registerManager(js.URL_SCHEME,new jI)}catch{}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const c2={importFetch:()=>require("node-fetch")};let hd;class l2{constructor(){this.util=require("util"),this.textEncoder=new this.util.TextEncoder}fetch(t,e){return V().global.fetch!=null?V().global.fetch(t,e):(hd==null&&(hd=c2.importFetch()),hd(t,e))}now(){const t=process.hrtime();return t[0]*1e3+t[1]/1e6}encode(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error(`Node built-in encoder only supports utf-8, but got ${e}`);return this.textEncoder.encode(t)}decode(t,e){return t.length===0?"":new this.util.TextDecoder(e).decode(t)}isTypedArray(t){return this.util.types.isFloat32Array(t)||this.util.types.isInt32Array(t)||this.util.types.isUint8Array(t)||this.util.types.isUint8ClampedArray(t)}}V().get("IS_NODE")&&!V().get("IS_BROWSER")&&V().setPlatform("node",new l2);/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function It(n,t="float32",e){return t=t||"float32",es(n),new ye(n,t,e)}/** * @license * Copyright 2020 Google Inc. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function d2(n){const e={x:N(n,"x","clone","string_or_numeric")};return $.runKernel(Ar,e)}const to=M({clone_:d2});/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function h2(n,t=!1){console.log(n.toString(t))}/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */um(),MI({buffer:It,cast:st,clone:to,print:h2});/** * @license * Copyright 2020 Google LLC. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function f2(n,t){let e=N(n,"a","floorDiv"),s=N(t,"b","floorDiv");[e,s]=te(e,s);const o={a:e,b:s};return $.runKernel(Pr,o)}const Gm=M({floorDiv_:f2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function m2(n,t){let e=N(n,"a","div"),s=N(t,"b","div");if([e,s]=te(e,s),e.dtype==="int32"&&s.dtype==="int32")return Gm(e,s);const o={a:e,b:s},r={};return $.runKernel(Vr,o,r)}const dt=M({div_:m2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function g2(n,t){let e=N(n,"a","mul"),s=N(t,"b","mul");[e,s]=te(e,s);const o={a:e,b:s};return $.runKernel(qr,o)}const L=M({mul_:g2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function b2(n){const t=N(n,"x","abs");if(t.dtype==="complex64"){const e={x:t};return $.runKernel(Na,e)}else{const e={x:t};return $.runKernel(Ca,e)}}const We=M({abs_:b2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function x2(n){const e={x:N(n,"x","acos")};return $.runKernel(vr,e)}const y2=M({acos_:x2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function C2(n){const e={x:N(n,"x","acosh")};return $.runKernel(kr,e)}const I2=M({acosh_:C2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function w2(n,t=null,e=!1){const o={x:N(n,"x","all","bool")},r={axis:t,keepDims:e};return $.runKernel(ru,o,r)}const Lm=M({all_:w2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function S2(n,t=null,e=!1){const o={x:N(n,"x","any","bool")},r={axis:t,keepDims:e};return $.runKernel(iu,o,r)}const pd=M({any_:S2});/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function v2(n,t=0){const s={x:N(n,"x","argMax")},o={axis:t};return $.runKernel(Ia,s,o)}const vi=M({argMax_:v2});/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function k2(n,t=0){const s={x:N(n,"x","argMin")},o={axis:t};return $.runKernel(wa,s,o)}const T2=M({argMin_:k2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function N2(n){const e={x:N(n,"x","asin")};return $.runKernel(Tr,e)}const R2=M({asin_:N2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function G2(n){const e={x:N(n,"x","asinh")};return $.runKernel(Nr,e)}const L2=M({asinh_:G2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function $2(n){const e={x:N(n,"x","atan")};return $.runKernel(Rr,e)}const W2=M({atan_:$2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function X2(n,t){let e=N(n,"a","atan2"),s=N(t,"b","atan2");[e,s]=te(e,s);const o={a:e,b:s};return $.runKernel(Lr,o)}const M2=M({atan2_:X2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function z2(n){const e={x:N(n,"x","atanh")};return $.runKernel(Gr,e)}const V2=M({atanh_:z2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ki(n,t,e,s,o="NHWC",r){const i=n[3],a=[...t,i],c=os(o);return Ce(n,a,e,r,s,null,null,c)}function pn(n,t,e,s,o,r,i="channelsLast"){const[a,c]=Ti(t);let l;if(i==="channelsLast")l=[a,c,n[3],n[3]];else if(i==="channelsFirst")l=[a,c,n[1],n[1]];else throw new Error(`Unknown dataFormat ${i}`);return Ce(n,l,e,s,o,r,!1,i)}function ss(n,t,e,s,o,r,i="NDHWC"){const[a,c,l]=md(t);let u,d;if(i==="NDHWC")d="channelsLast",u=[a,c,l,n[4],n[4]];else if(i==="NCDHW")d="channelsFirst",u=[a,c,l,n[1],n[1]];else throw new Error(`Unknown dataFormat ${i}`);return ws(n,u,e,s,o,!1,d,r)}function Ce(n,t,e,s,o,r,i=!1,a="channelsLast"){let[c,l,u,d]=[-1,-1,-1,-1];if(a==="channelsLast")[c,l,u,d]=n;else if(a==="channelsFirst")[c,d,l,u]=n;else throw new Error(`Unknown dataFormat ${a}`);const[h,p,,f]=t,[m,g]=Ti(e),[b,x]=Ti(s),C=Uo(h,b),y=Uo(p,x),{padInfo:I,outHeight:w,outWidth:k}=Z2(o,l,u,m,g,C,y,r,a),v=i?f*d:f;let T;return a==="channelsFirst"?T=[c,v,w,k]:a==="channelsLast"&&(T=[c,w,k,v]),{batchSize:c,dataFormat:a,inHeight:l,inWidth:u,inChannels:d,outHeight:w,outWidth:k,outChannels:v,padInfo:I,strideHeight:m,strideWidth:g,filterHeight:h,filterWidth:p,effectiveFilterHeight:C,effectiveFilterWidth:y,dilationHeight:b,dilationWidth:x,inShape:n,outShape:T,filterShape:t}}function ws(n,t,e,s,o,r=!1,i="channelsLast",a){let[c,l,u,d,h]=[-1,-1,-1,-1,-1];if(i==="channelsLast")[c,l,u,d,h]=n;else if(i==="channelsFirst")[c,h,l,u,d]=n;else throw new Error(`Unknown dataFormat ${i}`);const[p,f,m,,g]=t,[b,x,C]=md(e),[y,I,w]=md(s),k=Uo(p,y),v=Uo(f,I),T=Uo(m,w),{padInfo:R,outDepth:W,outHeight:E,outWidth:K}=F2(o,l,u,d,b,x,C,k,v,T,a),Z=r?g*h:g;let F;return i==="channelsFirst"?F=[c,Z,W,E,K]:i==="channelsLast"&&(F=[c,W,E,K,Z]),{batchSize:c,dataFormat:i,inDepth:l,inHeight:u,inWidth:d,inChannels:h,outDepth:W,outHeight:E,outWidth:K,outChannels:Z,padInfo:R,strideDepth:b,strideHeight:x,strideWidth:C,filterDepth:p,filterHeight:f,filterWidth:m,effectiveFilterDepth:k,effectiveFilterHeight:v,effectiveFilterWidth:T,dilationDepth:y,dilationHeight:I,dilationWidth:w,inShape:n,outShape:F,filterShape:t}}function E2(n,t,e,s,o){s==null&&(s=fd(n,t,e));const r=n[0],i=n[1],a=Ni((r-t+2*s)/e+1,o),c=Ni((i-t+2*s)/e+1,o);return[a,c]}function K2(n,t,e,s,o,r){o==null&&(o=fd(n,t[0],s[0]));const i=[0,0,0,e];for(let a=0;a<3;a++)n[a]+2*o>=t[a]&&(i[a]=Ni((n[a]-t[a]+2*o)/s[a]+1,r));return i}function fd(n,t,e,s=1){const o=Uo(t,s);return Math.floor((n[0]*(e-1)-e+o)/2)}function Ti(n){return typeof n=="number"?[n,n,n]:n.length===2?[n[0],n[1],1]:n}function md(n){return typeof n=="number"?[n,n,n]:n}function Uo(n,t){return t<=1?n:n+(n-1)*(t-1)}function Z2(n,t,e,s,o,r,i,a,c){let l,u,d;if(typeof n=="number"){l={top:n,bottom:n,left:n,right:n,type:n===0?"VALID":"NUMBER"};const p=E2([t,e],r,s,n,a);u=p[0],d=p[1]}else if(n==="same"){u=Math.ceil(t/s),d=Math.ceil(e/o);const h=Math.max(0,(u-1)*s+r-t),p=Math.max(0,(d-1)*o+i-e),f=Math.floor(h/2),m=h-f,g=Math.floor(p/2),b=p-g;l={top:f,bottom:m,left:g,right:b,type:"SAME"}}else if(n==="valid")l={top:0,bottom:0,left:0,right:0,type:"VALID"},u=Math.ceil((t-r+1)/s),d=Math.ceil((e-i+1)/o);else if(typeof n=="object"){const h=c==="channelsLast"?n[1][0]:n[2][0],p=c==="channelsLast"?n[1][1]:n[2][1],f=c==="channelsLast"?n[2][0]:n[3][0],m=c==="channelsLast"?n[2][1]:n[3][1];l={top:h,bottom:p,left:f,right:m,type:h===0&&p===0&&f===0&&m===0?"VALID":"EXPLICIT"},u=Ni((t-r+h+p)/s+1,a),d=Ni((e-i+f+m)/o+1,a)}else throw Error(`Unknown padding parameter: ${n}`);return{padInfo:l,outHeight:u,outWidth:d}}function F2(n,t,e,s,o,r,i,a,c,l,u){let d,h,p,f;if(n==="valid"&&(n=0),typeof n=="number"){d={top:n,bottom:n,left:n,right:n,front:n,back:n,type:n===0?"VALID":"NUMBER"};const g=K2([t,e,s,1],[a,c,l],1,[o,r,i],n,u);h=g[0],p=g[1],f=g[2]}else if(n==="same"){h=Math.ceil(t/o),p=Math.ceil(e/r),f=Math.ceil(s/i);const m=(h-1)*o+a-t,g=(p-1)*r+c-e,b=(f-1)*i+l-s,x=Math.floor(m/2),C=m-x,y=Math.floor(g/2),I=g-y,w=Math.floor(b/2),k=b-w;d={top:y,bottom:I,left:w,right:k,front:x,back:C,type:"SAME"}}else throw Error(`Unknown padding parameter: ${n}`);return{padInfo:d,outDepth:h,outHeight:p,outWidth:f}}function Ni(n,t){if(!t)return Math.trunc(n);switch(t){case"round":return Math.round(n);case"ceil":return Math.ceil(n);case"floor":return Math.floor(n);default:throw new Error(`Unknown roundingMode ${t}`)}}function eo(n){const[t,e,s]=Ti(n);return t===1&&e===1&&s===1}function Ne(n,t){return eo(n)||eo(t)}function no(n){return Ti(n).every(t=>t>0)}function os(n){if(n==="NHWC")return"channelsLast";if(n==="NCHW")return"channelsFirst";throw new Error(`Unknown dataFormat ${n}`)}function Ze(n,t,e){if(e!=null){if(typeof t=="string")throw Error(`Error in ${n}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);if(typeof t=="number")S(zo(t),()=>`Error in ${n}: pad must be an integer when using dimRoundingMode ${e} but got pad ${t}.`);else if(typeof t=="object")t.forEach(s=>{s.forEach(o=>{S(zo(o),()=>`Error in ${n}: pad must be an integer when using dimRoundingMode ${e} but got pad ${o}.`)})});else throw Error(`Error in ${n}: Unknown padding parameter: ${t}`)}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function D2(n,t){const s={x:N(n,"x","reshape","string_or_numeric")},o={shape:t};return $.runKernel(ac,s,o)}const z=M({reshape_:D2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function P2(n,t,e,s,o){const r=N(n,"x","avgPool","float32"),i=1;S(Ne(e,i),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`);let a=r,c=!1;r.rank===3&&(c=!0,a=z(r,[1,r.shape[0],r.shape[1],r.shape[2]])),S(a.rank===4,()=>`Error in avgPool: x must be rank 4 but got rank ${a.rank}.`),Ze("avgPool",s,o);const l={x:a},u={filterSize:t,strides:e,pad:s,dimRoundingMode:o};let d=$.runKernel(Sa,l,u);return d=st(d,r.dtype),c?z(d,[d.shape[1],d.shape[2],d.shape[3]]):d}const gd=M({avgPool_:P2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function O2(n,t,e,s,o,r="NDHWC"){const i=N(n,"x","avgPool3d","float32");let a=i,c=!1;i.rank===4&&(c=!0,a=z(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),S(a.rank===5,()=>`Error in avgPool3d: x must be rank 5 but got rank ${a.rank}.`),S(r==="NDHWC",()=>`Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of ${r}`),S(typeof e=="number"&&e>0||Array.isArray(e)&&e[0]>0&&e[1]>0&&e[2]>0,()=>`Error in avgPool3d: Stride must be > 0, but got '${e}'`),Ze("avgPool3d",s,o);const l={x:a},u={filterSize:t,strides:e,pad:s,dimRoundingMode:o,dataFormat:r};let d=$.runKernel(va,l,u);return d=st(d,a.dtype),c?z(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}const A2=M({avgPool3d_:O2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function H2(n,t=0){S(n.length>=1,()=>"Pass at least one tensor to concat");const e=mm(n,"tensors","concat","string_or_numeric");if(e[0].dtype==="complex64"&&e.forEach(r=>{if(r.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor with dtype ${r.dtype}. `)}),e.length===1)return to(e[0]);const s=e,o={axis:t};return $.runKernel(Ra,s,o)}const Fe=M({concat_:H2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function B2(n,t,e=!1,s=!1){let o=N(n,"a","matMul"),r=N(t,"b","matMul");[o,r]=te(o,r);const i={a:o,b:r},a={transposeA:e,transposeB:s};return $.runKernel(ka,i,a)}const Gt=M({matMul_:B2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function U2(n){const e={x:N(n,"x","sigmoid","float32")};return $.runKernel(ui,e)}const _o=M({sigmoid_:U2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _2(n,t,e){const s=N(n,"x","slice","string_or_numeric");if(s.rank===0)throw new Error("Slicing scalar is not possible");const o={x:s},r={begin:t,size:e};return $.runKernel(hc,o,r)}const Zt=M({slice_:_2});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Y2(n){const e={x:N(n,"x","tanh","float32")};return $.runKernel(gi,e)}const Gc=M({tanh_:Y2});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Q2(n,t,e){const s=N(n,"x","batchToSpaceND"),o=t.reduce((a,c)=>a*c);S(s.rank>=1+t.length,()=>`input rank is ${s.rank} but should be > than blockShape.length ${t.length}`),S(e.length===t.length,()=>`crops.length is ${e.length} but should be equal to blockShape.length ${t.length}`),S(s.shape[0]%o===0,()=>`input tensor batch is ${s.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${o}`);const r={x:s},i={blockShape:t,crops:e};return $.runKernel(Ta,r,i)}const bd=M({batchToSpaceND_:Q2});function J2(n){let t;return n.rank===0||n.rank===1?t=z(n,[1,1,1,n.size]):n.rank===2?t=z(n,[1,1,n.shape[0],n.shape[1]]):n.rank===3?t=z(n,[1,n.shape[0],n.shape[1],n.shape[2]]):t=n,t}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function j2(n,t,e,s,o,r){r==null&&(r=.001);const i=N(n,"x","batchNorm"),a=N(t,"mean","batchNorm"),c=N(e,"variance","batchNorm");let l;o!=null&&(l=N(o,"scale","batchNorm"));let u;s!=null&&(u=N(s,"offset","batchNorm")),S(a.rank===c.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),S(u==null||a.rank===u.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),S(l==null||a.rank===l.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");const h={x:J2(i),scale:l,offset:u,mean:a,variance:c},p={varianceEpsilon:r},f=$.runKernel(Ea,h,p);return z(f,i.shape)}const Lc=M({batchNorm_:j2});function q2(n,t,e,s,o,r){const i=N(n,"x","batchNorm"),a=N(t,"mean","batchNorm"),c=N(e,"variance","batchNorm");let l;o!=null&&(l=N(o,"scale","batchNorm"));let u;return s!=null&&(u=N(s,"offset","batchNorm")),S(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),S(a.rank===2||a.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${a.rank}.`),S(c.rank===2||c.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${c.rank}.`),l!=null&&S(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&S(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${u.rank}.`),Lc(i,a,c,u,l,r)}const tw=M({batchNorm2d_:q2});function ew(n,t,e,s,o,r){const i=N(n,"x","batchNorm"),a=N(t,"mean","batchNorm"),c=N(e,"variance","batchNorm");let l;o!=null&&(l=N(o,"scale","batchNorm"));let u;return s!=null&&(u=N(s,"offset","batchNorm")),S(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),S(a.rank===3||a.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${a.rank}.`),S(c.rank===3||c.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${c.rank}.`),l!=null&&S(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&S(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${u.rank}.`),Lc(i,a,c,u,l,r)}const nw=M({batchNorm3d_:ew});function sw(n,t,e,s,o,r){const i=N(n,"x","batchNorm"),a=N(t,"mean","batchNorm"),c=N(e,"variance","batchNorm");let l;o!=null&&(l=N(o,"scale","batchNorm"));let u;return s!=null&&(u=N(s,"offset","batchNorm")),S(i.rank===4,()=>`Error in batchNorm4D: x must be rank 4 but got rank ${i.rank}.`),S(a.rank===4||a.rank===1,()=>`Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank ${a.rank}.`),S(c.rank===4||c.rank===1,()=>`Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank ${c.rank}.`),l!=null&&S(l.rank===4||l.rank===1,()=>`Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank ${l.rank}.`),u!=null&&S(u.rank===4||u.rank===1,()=>`Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank ${u.rank}.`),Lc(i,a,c,u,l,r)}const ow=M({batchNorm4d_:sw});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function rw(n,t,e){const s=N(n,"x","bincount"),o=N(t,"weights","bincount");S(s.dtype==="int32",()=>`Error in bincount: input dtype must be int32, but got ${s.dtype}`),S(e>=0,()=>`size must be non-negative, but got ${e}.`),S(o.size===s.size||o.size===0,()=>`Error in bincount: weights must have the same size as input or0-length, but got input shape: ${s.shape}, weights shape: ${o.shape}.`);const r={x:s,weights:o},i={size:e};return $.runKernel(lu,r,i)}const iw=M({bincount_:rw});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function aw(n,t){let e=N(n,"broadcastTo","x");const s=e.shape;if(es(t),t.lengthe.rank){const l=e.shape.slice();for(;l.length=0;l--)if(o[l]===t[l])r[l]=1;else if(e.shape[l]!==1)throw new Error(`broadcastTo(): [${s}] cannot be broadcast to [${t}].`);if(r.map((l,u)=>l>1?u:-1).filter(l=>l>=0).length===0)return to(e);const a={x:e},c={reps:r};return $.runKernel(bi,a,c)}const Ri=M({broadcastTo_:aw});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function cw(n){const e={x:N(n,"x","ceil","float32")};return $.runKernel(Wr,e)}const lw=M({ceil_:cw});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function $c(n,t,e){es(n),e=e||Eo(t);const s={shape:n,value:t,dtype:e};return $.runKernel(Tu,{},s)}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function uw(n,t,e){const s=N(n,"x","clipByValue");if(S(t<=e,()=>`Error in clip: min (${t}) must be less than or equal to max (${e}).`),t===e)return $c(s.shape,t,s.dtype);const o={x:s},r={clipValueMin:t,clipValueMax:e};return $.runKernel(Xr,o,r)}const nn=M({clipByValue_:uw});function dw(n){return Fe(n,0)}const hw=M({concat1d_:dw});function pw(n,t){return Fe(n,t)}const fw=M({concat2d_:pw});function mw(n,t){return Fe(n,t)}const gw=M({concat3d_:mw});function bw(n,t){return Fe(n,t)}const xw=M({concat4d_:bw});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function yw(n,t,e,s,o="NHWC",r=[1,1],i){const a=N(n,"x","conv2d","float32"),c=N(t,"filter","conv2d","float32");let l=a,u=!1;a.rank===3&&(u=!0,l=z(a,[1,a.shape[0],a.shape[1],a.shape[2]])),S(l.rank===4,()=>`Error in conv2d: input must be rank 4, but got rank ${l.rank}.`),S(c.rank===4,()=>`Error in conv2d: filter must be rank 4, but got rank ${c.rank}.`),Ze("conv2d",s,i);const d=o==="NHWC"?l.shape[3]:l.shape[1];S(d===c.shape[2],()=>`Error in conv2d: depth of input (${d}) must match input depth for filter ${c.shape[2]}.`),S(Ne(e,r),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${r}'`),S(no(r),()=>"Error in conv2D: Dilated rates should be larger than 0."),S(no(e),()=>"Error in conv2D: Strides should be larger than 0.");const h={x:l,filter:c},p={strides:e,pad:s,dataFormat:o,dilations:r,dimRoundingMode:i},f=$.runKernel(Ga,h,p);return u?z(f,[f.shape[1],f.shape[2],f.shape[3]]):f}const so=M({conv2d_:yw});function Cw(n,t,e,s,o="NWC",r=1,i){const a=N(n,"x","conv1d"),c=N(t,"filter","conv1d");let l=a,u=!1;a.rank===2&&(u=!0,l=z(a,[1,a.shape[0],a.shape[1]])),S(l.rank===3,()=>`Error in conv1d: input must be rank 3, but got rank ${l.rank}.`),S(c.rank===3,()=>`Error in conv1d: filter must be rank 3, but got rank ${c.rank}.`),Ze("conv1d",s,i),S(l.shape[2]===c.shape[1],()=>`Error in conv1d: depth of input (${l.shape[2]}) must match input depth for filter ${c.shape[1]}.`),S(Ne(e,r),()=>`Error in conv1D: Either stride or dilation must be 1. Got stride ${e} and dilation '${r}'`),S(no(r),()=>"Error in conv1D: Dilated rates should be larger than 0."),S(no(e),()=>"Error in conv1D: Stride should be larger than 0."),S(o==="NWC",()=>`Error in conv1d: got dataFormat of ${o} but only NWC is currently supported.`);const d=z(c,[1,c.shape[0],c.shape[1],c.shape[2]]),h=z(l,[l.shape[0],1,l.shape[1],l.shape[2]]),g=so(h,d,[1,e],s,"NHWC",[1,r],i);return u?z(g,[g.shape[2],g.shape[3]]):z(g,[g.shape[0],g.shape[2],g.shape[3]])}const $m=M({conv1d_:Cw});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Iw(n,t,e,s,o,r="NHWC",i){S(n.length===t.rank,()=>`Length of inShape (${n.length}) and rank of dy (${t.rank}) must match`);let a=n,c=t,l=!1;t.rank===3&&(l=!0,c=z(t,[1,t.shape[0],t.shape[1],t.shape[2]]),a=[1,n[0],n[1],n[2]]),S(a.length===4,()=>`Error in conv2dDerInput: inShape must be length 4, but got length ${a.length}.`),S(c.rank===4,()=>`Error in conv2dDerInput: dy must be rank 4, but got rank ${c.rank}`),S(e.rank===4,()=>`Error in conv2dDerInput: filter must be rank 4, but got rank ${e.rank}`);const u=r==="NHWC"?a[3]:a[1],d=r==="NHWC"?c.shape[3]:c.shape[1];S(u===e.shape[2],()=>`Error in conv2dDerInput: depth of input (${u}) must match input depth for filter ${e.shape[2]}.`),S(d===e.shape[3],()=>`Error in conv2dDerInput: depth of output (${d}) must match output depth for filter ${e.shape[3]}.`),Ze("conv2dDerInput",o,i);const h={dy:c,filter:e},p={strides:s,pad:o,dataFormat:r,dimRoundingMode:i,inputShape:a},f=$.runKernel(La,h,p);return l?z(f,[f.shape[1],f.shape[2],f.shape[3]]):f}const xd=M({conv2DBackpropInput_:Iw});function ww(n,t,e,s,o,r){const i=N(n,"x","conv2dTranspose"),a=N(t,"filter","conv2dTranspose");return xd(e,i,a,s,o,"NHWC",r)}const Wm=M({conv2dTranspose_:ww});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Sw(n,t,e,s,o="NDHWC",r=[1,1,1]){const i=N(n,"x","conv3d"),a=N(t,"filter","conv3d");let c=i,l=!1;i.rank===4&&(l=!0,c=z(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),S(c.rank===5,()=>`Error in conv3d: input must be rank 5, but got rank ${c.rank}.`),S(a.rank===5,()=>`Error in conv3d: filter must be rank 5, but got rank ${a.rank}.`),S(c.shape[4]===a.shape[3],()=>`Error in conv3d: depth of input (${c.shape[4]}) must match input depth for filter ${a.shape[3]}.`),S(Ne(e,r),()=>`Error in conv3D: Either strides or dilations must be 1. Got strides ${e} and dilations '${r}'`),S(o==="NDHWC",()=>`Error in conv3d: got dataFormat of ${o} but only NDHWC is currently supported.`),S(no(r),()=>"Error in conv3D: Dilated rates should be larger than 0."),S(no(e),()=>"Error in conv3D: Strides should be larger than 0.");const u={x:c,filter:a},d={strides:e,pad:s,dataFormat:o,dilations:r},h=$.runKernel($a,u,d);return l?z(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}const vw=M({conv3d_:Sw});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function kw(n,t,e,s,o){S(n.length===t.rank,()=>`Length of inShape (${n.length}) and rank of dy (${t.rank}) must match`);let r=n,i=t,a=!1;t.rank===4&&(a=!0,i=z(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),r=[1,n[0],n[1],n[2],n[3]]);const c=r[4],l=i.shape[4];S(r.length===5,()=>`Error in conv3dDerInput: inShape must be length 5, but got length ${r.length}.`),S(i.rank===5,()=>`Error in conv3dDerInput: dy must be rank 5, but got rank ${i.rank}`),S(e.rank===5,()=>`Error in conv3dDerInput: filter must be rank 5, but got rank ${e.rank}`),S(c===e.shape[3],()=>`Error in conv3dDerInput: depth of input (${c}) must match input depth for filter ${e.shape[3]}.`),S(l===e.shape[4],()=>`Error in conv3dDerInput: depth of output (${l}) must match output depth for filter ${e.shape[4]}.`);const u={dy:i,filter:e},d={pad:o,strides:s,inputShape:r},h=$.runKernel(fu,u,d);return a?z(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}const Xm=M({conv3DBackpropInput_:kw});function Tw(n,t,e,s,o){const r=N(n,"x","conv3dTranspose"),i=N(t,"filter","conv3dTranspose");return Xm(e,r,i,s,o)}const Nw=M({conv3dTranspose_:Tw});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Rw(n){const e={x:N(n,"x","cos","float32")};return $.runKernel(Mr,e)}const yd=M({cos_:Rw});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Gw(n){const e={x:N(n,"x","cosh","float32")};return $.runKernel(zr,e)}const Mm=M({cosh_:Gw});/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the 'License'); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an 'AS IS' BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Lw(n,t=0,e=!1,s=!1){const r={x:N(n,"x","cumprod")},i={axis:t,exclusive:e,reverse:s};return $.runKernel(mu,r,i)}const Cd=M({cumprod_:Lw});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function $w(n,t=0,e=!1,s=!1){const r={x:N(n,"x","cumsum")},i={axis:t,exclusive:e,reverse:s};return $.runKernel(Wa,r,i)}const zm=M({cumsum_:$w});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ww(n,t,e,s=!1){const o=N(n,"x","denseBincount"),r=N(t,"weights","denseBincount");S(o.dtype==="int32",()=>`Error in denseBincount: input dtype must be int32, but got ${o.dtype}`),S(o.rank<=2,()=>`Error in denseBincount: input must be at most rank 2, but got rank ${o.rank}.`),S(e>=0,()=>`size must be non-negative, but got ${e}.`),S(r.size===o.size||r.size===0,()=>`Error in denseBincount: weights must have the same shape as x or 0-length, but got x shape: ${o.shape}, weights shape: ${r.shape}.`);const i={x:o,weights:r},a={size:e,binaryOutput:s};return $.runKernel(bu,i,a)}const Vm=M({denseBincount_:Ww});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Xw(n,t,e="NHWC"){const s=N(n,"x","depthToSpace","float32"),o=e==="NHWC"?s.shape[1]:s.shape[2],r=e==="NHWC"?s.shape[2]:s.shape[3],i=e==="NHWC"?s.shape[3]:s.shape[1];S(t>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${t}`),S(o*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${o} and ${t} for depthToSpace with input shape ${s.shape}`),S(r*t>=0,()=>`Negative dimension size caused by overflow when multiplying ${r} and ${t} for depthToSpace with input shape ${s.shape}`),S(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${s.shape}`);const a={x:s},c={blockSize:t,dataFormat:e};return $.runKernel(xu,a,c)}const Mw=M({depthToSpace_:Xw});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zw(n,t,e,s,o="NHWC",r=[1,1],i){const a=N(n,"x","depthwiseConv2d","float32"),c=N(t,"filter","depthwiseConv2d","float32");let l=a,u=!1;a.rank===3&&(u=!0,l=z(a,[1,a.shape[0],a.shape[1],a.shape[2]])),S(l.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${l.rank}.`),S(c.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${c.rank}.`);const d=o==="NHWC"?l.shape[3]:l.shape[1];S(d===c.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${d}) must match the inChannels dimension in filter ${c.shape[2]}.`),Ze("depthwiseConv2d",s,i);const h={x:l,filter:c},p={strides:e,pad:s,dataFormat:o,dilations:r,dimRoundingMode:i},f=$.runKernel(Xa,h,p);return u?z(f,[f.shape[1],f.shape[2],f.shape[3]]):f}const Id=M({depthwiseConv2d_:zw});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Vw(n,t,e,s,o=[1,1],r="NHWC"){const i=N(n,"x","dilation2d"),a=N(t,"filter","dilation2d");S(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),S(a.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${a.rank}.`),S(r==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${r}`);let c=i,l=!1;i.rank===3&&(c=z(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=!0),S(c.shape[3]===a.shape[2],()=>`Error in dilation2d: input and filter must have the same depth: ${c.shape[3]} vs ${a.shape[2]}`);const u={x:c,filter:a},d={strides:e,pad:s,dilations:o},h=$.runKernel(Ma,u,d);return l?z(h,[h.shape[1],h.shape[2],h.shape[3]]):h}const Ew=M({dilation2d_:Vw});/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Yo(n,t){const e=n.length,s=[];for(let o=0;o1&&i===1&&s.unshift(r)}return s}function ce(n,t){const e=[];for(let s=0;s1)&&e.unshift(r)}return e}function gt(n,t){const e=Math.max(n.length,t.length),s=new Array(e);for(let o=0;o`Error in dot: inputs must all be rank 1 or 2, but got ranks ${e.rank} and ${s.rank}.`);const o=e.rank===1?e.size:e.shape[1],r=s.rank===1?s.size:s.shape[0];if(S(o===r,()=>`Error in dot: inner dimensions of inputs must match, but got ${o} and ${r}.`),e.rank===1&&s.rank===1){const i=z(e,[1,-1]),a=z(s,[-1,1]),c=Gt(i,a);return z(c,[])}else if(e.rank===1&&s.rank===2){const i=z(e,[1,-1]),a=z(s,[s.shape[0],s.shape[1]]),c=Gt(i,a);return z(c,[c.size])}else if(e.rank===2&&s.rank===1){const i=z(s,[-1,1]),a=Gt(e,i);return z(a,[a.size])}else{const i=z(s,[s.shape[0],s.shape[1]]);return Gt(e,i)}}const Aw=M({dot_:Ow});/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Hw(n,...t){const e=t.map((o,r)=>N(o,`tensors${r}`,"einsum")),s={equation:n};return $.runKernel(Su,e,s)}const Gi=M({einsum_:Hw});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Bw(n){const e={x:N(n,"x","elu","float32")};return $.runKernel(Er,e)}const Wc=M({elu_:Bw});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Uw(n){let t=N(n,"x","erf");S(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=st(t,"float32"));const e={x:t};return $.runKernel(Kr,e)}const Em=M({erf_:Uw});/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function wd(n,t){for(let e=0;en[r]);return[e,o]}function re(n,t){const e=t.map(s=>1);return Km(n,e,t)}function Ie(n,t,e){S(wd(t,e),()=>`${n} supports only inner-most axes for now. Got axes ${t} and rank-${e} input.`)}function Yt(n,t){if(wd(n,t))return null;const e=[];for(let s=0;se.push(s)),e}function Ss(n){return n.map((t,e)=>[e,t]).sort((t,e)=>t[1]-e[1]).map(t=>t[0])}function ee(n,t){const e=[];for(let s=t-n;s"Axis must be <= rank of the tensor");const s={input:e},o={dim:t};return $.runKernel(Va,s,o)}const De=M({expandDims_:oS});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function rS(n){const e={x:N(n,"x","expm1")};return $.runKernel(Fr,e)}const iS=M({expm1_:rS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function aS(n,t){const e=N(n,"x","tile","string_or_numeric");S(e.rank===t.length,()=>`Error in transpose: rank of input ${e.rank} must match length of reps ${t}.`);const s={x:e},o={reps:t};return $.runKernel(bi,s,o)}const Nn=M({tile_:aS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function cS(n,t,e,s="float32"){t==null&&(t=n);const o=It([n,t],s),r=n<=t?n:t;for(let a=0;a`Error in localResponseNormalization: x must be rank 3 or 4 but got rank ${r.rank}.`),S(zo(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=r,a=!1;r.rank===3&&(a=!0,i=z(r,[1,r.shape[0],r.shape[1],r.shape[2]]));const c={x:i},l={depthRadius:t,bias:e,alpha:s,beta:o},u=$.runKernel(Ba,c,l);return a?z(u,[u.shape[1],u.shape[2],u.shape[3]]):u}const vS=M({localResponseNormalization_:SS});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function kS(n){const e={x:N(n,"x","log","float32")};return $.runKernel(_r,e)}const Dn=M({log_:kS});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function TS(n){const e={x:N(n,"x","log1p")};return $.runKernel(Yr,e)}const Dm=M({log1p_:TS});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function NS(n,t){S(jl(n),()=>"The f passed in variableGrads(f) must be a function"),S(t==null||Array.isArray(t)&&t.every(l=>l instanceof Nc),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");const e=t!=null;if(!e){t=[];for(const l in $.registeredVariables)t.push($.registeredVariables[l])}const s=e?t.filter(l=>!l.trainable):null,o=t.length;t=t.filter(l=>l.trainable),S(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${o} variables is trainable.`);const r=!0,{value:i,grads:a}=$.gradients(n,t,null,r);S(a.some(l=>l!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),S(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);const c={};return t.forEach((l,u)=>{a[u]!=null&&(c[l.name]=a[u])}),s!=null&&s.forEach(l=>c[l.name]=null),{value:i,grads:c}}function Jo(n){return $.customGrad(n)}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function RS(n){const e={x:N(n,"x","neg")};return $.runKernel(qa,e)}const ne=M({neg_:RS});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function GS(n){const e={x:N(n,"x","softplus")};return $.runKernel(di,e)}const Li=M({softplus_:GS});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function LS(n){const t=N(n,"x","logSigmoid");return Jo(s=>({value:ne(Li(ne(s))),gradFunc:i=>L(i,_o(ne(s)))}))(t)}const $S=M({logSigmoid_:LS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function WS(n,t){let e=N(n,"a","sub"),s=N(t,"b","sub");[e,s]=te(e,s);const o={a:e,b:s};return $.runKernel(fi,o)}const pt=M({sub_:WS});/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function XS(n,t=-1){const e=N(n,"logits","logSoftmax");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and axis was ${t}`);return Jo((o,r)=>{const a=Tn(o,t,!0),c=pt(o,a),l=pt(st(c,"float32"),Dn(ut(Fn(c),t,!0)));return r([l]),{value:l,gradFunc:(d,h)=>{const[p]=h,f=!0,m=Fn(p);return pt(d,L(ut(d,t,f),m))}}})(e)}const Pm=M({logSoftmax_:XS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function MS(n,t=null,e=!1){const s=N(n,"x","logSumExp"),o=Ct(t,s.shape),r=Tn(s,o,!0),i=pt(s,r),a=Fn(i),c=ut(a,o),l=Dn(c),u=Q(z(r,l.shape),l);if(e){const d=re(u.shape,o);return z(u,d)}return u}const Om=M({logSumExp_:MS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zS(n,t){const e=N(n,"a","logicalAnd","bool"),s=N(t,"b","logicalAnd","bool");gt(e.shape,s.shape);const o={a:e,b:s};return $.runKernel(Oa,o)}const rs=M({logicalAnd_:zS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function VS(n){const e={x:N(n,"x","logicalNot","bool")};return $.runKernel(Aa,e)}const Td=M({logicalNot_:VS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ES(n,t){const e=N(n,"a","logicalOr","bool"),s=N(t,"b","logicalOr","bool");gt(e.shape,s.shape);const o={a:e,b:s};return $.runKernel(Ha,o)}const Am=M({logicalOr_:ES});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function KS(n,t){const e=N(n,"a","logicalXor","bool"),s=N(t,"b","logicalXor","bool");return gt(e.shape,s.shape),rs(Am(n,t),Td(rs(n,t)))}const ZS=M({logicalXor_:KS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function FS(n,t,e,s,o){const r=N(n,"x","maxPool"),i=1;let a=r,c=!1;r.rank===3&&(c=!0,a=z(r,[1,r.shape[0],r.shape[1],r.shape[2]])),S(a.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.rank}.`),S(Ne(e,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`),Ze("maxPool",s,o);const l={x:a},u={filterSize:t,strides:e,pad:s,dimRoundingMode:o},d=$.runKernel(_a,l,u);return c?z(d,[d.shape[1],d.shape[2],d.shape[3]]):d}const Nd=M({maxPool_:FS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function DS(n,t=[1,1,1],e,s,o,r="NDHWC"){const i=N(n,"x","maxPool3d");let a=i,c=!1;i.rank===4&&(c=!0,a=z(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),S(a.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${a.rank}.`),S(r==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${r}`),Ze("maxPool3d",s,o);const l={x:a},u={filterSize:t,strides:e,pad:s,dimRoundingMode:o,dataFormat:r},d=$.runKernel(Ya,l,u);return c?z(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}const PS=M({maxPool3d_:DS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function OS(n,t){let e=N(n,"a","maximum"),s=N(t,"b","maximum");[e,s]=te(e,s),e.dtype==="bool"&&(e=st(e,"int32"),s=st(s,"int32")),gt(e.shape,s.shape);const o={a:e,b:s};return $.runKernel(Qr,o)}const vs=M({maximum_:OS});/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function AS(n,t=null,e=!1){const o={x:N(n,"x","mean")},r={axis:t,keepDims:e};return $.runKernel(Qa,o,r)}const ie=M({mean_:AS});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function be(n,t="float32"){if(es(n),t==="complex64"){const s=be(n,"float32"),o=be(n,"float32");return Ho(s,o)}const e=Te(A(n),t);return $.makeTensor(e,n,t)}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ks(n,t="float32"){if(es(n),t==="complex64"){const s=ks(n,"float32"),o=be(n,"float32");return Ho(s,o)}const e=tu(A(n),t);return $.makeTensor(e,n,t)}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function HS(n,t){let e=N(n,"a","minimum"),s=N(t,"b","minimum");[e,s]=te(e,s),e.dtype==="bool"&&(e=st(e,"int32"),s=st(s,"int32")),gt(e.shape,s.shape);const o={a:e,b:s};return $.runKernel(Jr,o)}const $i=M({minimum_:HS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function BS(n,t,e){S(e==="reflect"||e==="symmetric",()=>`Invalid mode. Mode must be either reflect or symmetric. Got ${e}.`);const s=N(n,"x","mirrorPad");if(s.rank===0)throw new Error("mirrorPad(scalar) is not defined. Pass non-scalar to mirrorPad");S(t.length===s.rank,()=>`Padding doesn't match input. Must be ${s.rank}. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _S(n,t){let e=N(n,"a","mod"),s=N(t,"b","mod");[e,s]=te(e,s);const o={a:e,b:s};return $.runKernel(jr,o)}const YS=M({mod_:_S});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function QS(n,t=null,e=!1){n=N(n,"x","moments");const s=Ct(t,n.shape),o=ie(n,s,e);let r=o.shape;e||(r=re(o.shape,s));const i=Ht(pt(st(n,"float32"),z(o,r))),a=ie(i,s,e);return{mean:o,variance:a}}const Rd=M({moments_:QS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function JS(n,t){let e=N(n,"a","notEqual","string_or_numeric"),s=N(t,"b","notEqual","string_or_numeric");[e,s]=te(e,s),gt(e.shape,s.shape);const o={a:e,b:s};return $.runKernel(tc,o)}const Ec=M({notEqual_:JS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function jS(n,t,e=1,s=0,o="int32"){if(t<2)throw new Error(`Error in oneHot: depth must be >=2, but it is ${t}`);const i={indices:N(n,"indices","oneHot","int32")},a={dtype:o,depth:t,onValue:e,offValue:s};return $.runKernel(nc,i,a)}const Hm=M({oneHot_:jS});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function qS(n){const e={x:N(n,"x","onesLike")};return $.runKernel(ec,e)}const fn=M({onesLike_:qS});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function tv(n,t,e=0){const s=N(n,"x","pad");if(s.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");const o={paddings:t,constantValue:e},r={x:s};return $.runKernel(oc,r,o)}const Gd=M({pad_:tv});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ev(n,t,e){const s=N(n,"x","spaceToBatchND");S(s.rank>=1+t.length,()=>`input rank ${s.rank} should be > than [blockShape] ${t.length}`),S(e.length===t.length,()=>`paddings.shape[0] ${e.length} must be equal to [blockShape] ${t.length}`),S(s.shape.reduce((i,a,c)=>c>0&&c<=t.length?i&&(a+e[c-1][0]+e[c-1][1])%t[c-1]===0:i,!0),()=>`input spatial dimensions ${s.shape.slice(1)} with paddings ${e.toString()} must be divisible by blockShapes ${t.toString()}`);const o={x:s},r={blockShape:t,paddings:e};return $.runKernel(fc,o,r)}const Ld=M({spaceToBatchND_:ev});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function nv(n,t,e,s,o,r,i){o==null&&(o=[1,1]),r==null&&(r=1),s===0&&(s="valid");const a=N(n,"x","maxPool");let c=a,l=!1;a.rank===3&&(l=!0,c=z(a,[1,a.shape[0],a.shape[1],a.shape[2]])),S(Ne(r,o),()=>`Error in pool: Either strides or dilations must be 1. Got strides ${r} and dilations '${o}'`);const u=pn(c.shape,t,r,o,s),d=[u.dilationHeight,u.dilationWidth];let h;s==="same"?h=ov([u.filterHeight,u.filterWidth],d):h=[[0,0],[0,0]];const p=d[0]===1&&d[1]===1,[f,m]=sv([u.inHeight,u.inWidth],d,h),g=p?s:"valid",b=p?c:Ld(c,d,f),C=(e==="avg"?()=>gd(b,t,r,g,i):()=>Nd(b,t,r,g,i))(),y=p?C:bd(C,d,m);return l?z(y,[y.shape[1],y.shape[2],y.shape[3]]):y}function sv(n,t,e){const s=e.map(u=>u[0]),o=e.map(u=>u[1]),r=n.concat(s,o),i=t.map((u,d)=>(u-r[d]%u)%u),a=o.map((u,d)=>u+i[d]),c=t.map((u,d)=>[s[d],a[d]]),l=t.map((u,d)=>[0,i[d]]);return[c,l]}function ov(n,t){const s=n.map((i,a)=>i+(i-1)*(t[a]-1)).map(i=>i-1),o=s.map(i=>Math.floor(i/2)),r=s.map((i,a)=>i-o[a]);return s.map((i,a)=>[o[a],r[a]])}const rv=M({pool_:nv});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function iv(n,t){const e=N(n,"x","prelu"),s=N(t,"alpha","prelu"),o={x:e,alpha:s};return $.runKernel(rc,o)}const $d=M({prelu_:iv});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function av(n,t=null,e=!1){let s=N(n,"x","prod");s.dtype==="bool"&&(s=st(s,"int32"));const o={x:s},r={axis:t,keepDims:e};return $.runKernel(ic,o,r)}const cv=M({prod_:av});var Wd={exports:{}};Wd.exports,function(n){(function(t,e,s){function o(c){var l=this,u=a();l.next=function(){var d=2091639*l.s0+l.c*23283064365386963e-26;return 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function vv(n,t=0,e=1,s,o){if(es(n),s!=null&&s==="bool")throw new Error(`Unsupported data type ${s}`);const r=new Um(t,e,s,!1,o),i=It(n,s);for(let a=0;a`Error in separableConv2d: input must be rank 4, but got rank ${u.rank}.`),S(c.rank===4,()=>`Error in separableConv2d: depthwise filter must be rank 4, but got rank ${c.rank}.`),S(l.rank===4,()=>`Error in separableConv2d: pointwise filter must be rank 4, but got rank ${c.rank}.`),S(l.shape[0]===1,()=>`Error in separableConv2d: the first dimension of pointwise filter must be 1, but got ${l.shape[0]}.`),S(l.shape[1]===1,()=>`Error in separableConv2d: the second dimension of pointwise filter must be 1, but got ${l.shape[1]}.`);const h=c.shape[2],p=c.shape[3];S(l.shape[2]===h*p,()=>`Error in separableConv2d: the third dimension of pointwise filter must be ${h*p}, but got ${l.shape[2]}.`);const f=Id(u,c,s,o,i,r),g=so(f,l,1,"valid",i);return d?z(g,[g.shape[1],g.shape[2],g.shape[3]]):g}const jm=M({separableConv2d_:Vv});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ev(n){const e={x:N(n,"x","sign")};return $.runKernel(li,e)}const Kv=M({sign_:Ev});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Zv(n){const e={x:N(n,"x","sin","float32")};return $.runKernel(ai,e)}const qm=M({sin_:Zv});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Fv(n){const e={x:N(n,"x","sinh")};return $.runKernel(ci,e)}const tg=M({sinh_:Fv});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Dv(n,t,e){const s=N(n,"x","slice1d");return S(s.rank===1,()=>`slice1d expects a rank-1 tensor, but got a rank-${s.rank} tensor`),Zt(s,[t],[e])}const Zd=M({slice1d_:Dv});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Pv(n,t,e){const s=N(n,"x","slice2d");return S(s.rank===2,()=>`slice2d expects a rank-2 tensor, but got a rank-${s.rank} tensor`),Zt(s,t,e)}const eg=M({slice2d_:Pv});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ov(n,t,e){const s=N(n,"x","slice3d");return S(s.rank===3,()=>`slice3d expects a rank-3 tensor, but got a rank-${s.rank} tensor`),Zt(s,t,e)}const Fd=M({slice3d_:Ov});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Av(n,t,e){const s=N(n,"x","slice4d");return S(s.rank===4,()=>`slice4d expects a rank-4 tensor, but got a rank-${s.rank} tensor`),Zt(s,t,e)}const Zc=M({slice4d_:Av});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Hv(n,t=-1){const e=N(n,"logits","softmax","float32");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${e.rank} and dim was ${t}`);const s={logits:e},o={dim:t};return $.runKernel(gc,s,o)}const Dd=M({softmax_:Hv});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Bv(n){S(n.dtype==="complex64",()=>`The dtype for tf.spectral.fft() must be complex64 but got ${n.dtype}.`);const t={input:n};return $.runKernel(ku,t)}const ng=M({fft_:Bv});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Uv(n){S(n.dtype==="complex64",()=>`The dtype for tf.spectral.ifft() must be complex64 but got ${n.dtype}.`);const t={input:n};return $.runKernel(Ru,t)}const Pd=M({ifft_:Uv});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _v(n){const t=n.shape[n.shape.length-1],e=n.size/t;let s;if(t<=2){const o=z(n,[e,t]);s=Pd(o)}else{const o=[e,2*(t-1)],r=z(Kc(n),[e,t]),i=z(vd(n),[e,t]),a=co(Zt(r,[0,1],[e,t-2]),1),c=L(co(Zt(i,[0,1],[e,t-2]),1),Lt(-1)),l=Fe([r,a],1),u=Fe([i,c],1),d=z(Ho(l,u),[o[0],o[1]]);s=Pd(d)}if(s=Kc(s),n.rank===3&&n.shape[0]!==0){const o=s,r=n.shape[0];s=z(s,[r,s.shape[0]/r,s.shape[1]]),o.dispose()}return s}const Yv=M({irfft_:_v});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Qv(n,t,e=0){const o={x:N(n,"x","split")},r={numOrSizeSplits:t,axis:e};return $.runKernel(mc,o,r)}const on=M({split_:Qv});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Jv(n,t){S(n.dtype==="float32",()=>`The dtype for rfft() must be real value but got ${n.dtype}`);let e=n.shape[n.shape.length-1];const s=n.size/e;let o;if(t!=null&&t0),m=n.shape.map(g=>g);m[n.shape.length-1]=t,o=Zt(n,f,m),e=t}else if(t!=null&&t>e){const f=n.shape.map(m=>m);f[n.shape.length-1]=t-e,o=Fe([n,be(f)],n.shape.length-1),e=t}else o=n;const r=vt(o),i=z(Ho(o,r),[s,e]),a=ng(i),c=Math.floor(e/2)+1,l=Kc(a),u=vd(a),d=on(l,[c,e-c],l.shape.length-1),h=on(u,[c,e-c],u.shape.length-1),p=o.shape.slice();return p[o.shape.length-1]=c,z(Ho(d[0],h[0]),p)}const jv=M({rfft_:Jv});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function qv(n,t){let e=N(n,"a","squaredDifference"),s=N(t,"b","squaredDifference");[e,s]=te(e,s),gt(e.shape,s.shape);const o={a:e,b:s},r={};return $.runKernel(pi,o,r)}const tk=M({squaredDifference_:qv});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ek(n,t){const e=N(n,"x","squeeze","string_or_numeric");return z(e,fs(e.shape,t).newShape)}const Mi=M({squeeze_:ek});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function nk(n,t=0){const e=mm(n,"tensors","stack","string_or_numeric");S(e.length>=1,()=>"Pass at least one tensor to tf.stack"),e.length>0&&S(t<=e[0].rank,()=>"Axis must be <= rank of the tensor");const s=e,o={axis:t};return $.runKernel(sc,s,o)}const Pn=M({stack_:nk});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function sk(n,t=0){const s={x:N(n,"x","step")},o={alpha:t};return $.runKernel(xi,s,o)}const zi=M({step_:sk});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ok(n,t,e,s,o=0,r=0,i=0,a=0,c=0){const u={x:N(n,"x","stridedSlice","string_or_numeric")},d={begin:t,end:e,strides:s,beginMask:o,endMask:r,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:c};return $.runKernel(Pu,u,d)}const rk=M({stridedSlice_:ok});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ik(n){const e={x:N(n,"x","tan","float32")};return $.runKernel(mi,e)}const ak=M({tan_:ik});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _e(n,t){Yl(n);const e=wi(n,t);if(e.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");return Si(n,null,e,t)}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Od(n,t,e){if(Yl(n),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");const s=wi(n,e);if(s.length!==2&&s.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(s.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return Si(n,t,s,e)}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ck(n,t,e){if(Yl(n),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");const s=wi(n,e);if(s.length!==3&&s.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(s.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return Si(n,t,s,e)}function lo(n,t,e){const s=t.shape.length,o=s>1?t.shape[s-1]:1,r=e.length;let i=1;for(let d=o;d= 0 but got ${t}`);if(t>o)throw new Error(`'k' passed to topk() must be <= the last dimension (${o}) but got ${t}`);const r={x:s},i={k:t,sorted:e},[a,c]=$.runKernel(Ou,r,i);return{values:a,indices:c}}const uk=M({topk_:lk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function dk(n,t=0,e=1,s,o){if(es(n),s!=null&&s==="bool")throw new Error("Unsupported data type $ { dtype }");const r=new Um(t,e,s,!0,o),i=It(n,s);for(let a=0;a0,()=>"The input tensor must be at least 1D");const s={x:e},o={axis:t},[r,i]=$.runKernel(Hu,s,o);return{values:r,indices:i}}const pk=M({unique_:hk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function fk(n,t,e){const s=N(n,"x","unsortedSegmentSum"),o=N(t,"segmentIds","unsortedSegmentSum","int32");S(zo(e),()=>"numSegments must be of dtype int");const r={x:s,segmentIds:o},i={numSegments:e};return $.runKernel(xc,r,i)}const og=M({unsortedSegmentSum_:fk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function mk(n,t=0){const e=N(n,"x","unstack","string_or_numeric");S(t>=-e.shape.length&&t`Axis = ${t} is not in [-${e.shape.length}, ${e.shape.length})`);const s={value:e},o={axis:t};return $.runKernel(bc,s,o)}const uo=M({unstack_:mk});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function gk(n,t=!0,e,s){return $.makeVariable(n,t,e,s)}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function rg(n,t){const e=[];for(let r=0;ra).reverse()),S(s.rank===t.length,()=>`Error in transpose: rank of input ${s.rank} must match length of perm ${t}.`),t.forEach(i=>{S(i>=0&&i`All entries in 'perm' must be between 0 and ${s.rank-1} but got ${t}`)}),s.rank<=1)return s.clone();const o={x:s},r={perm:t};return s.dtype==="complex64"?X(()=>{let i=Kc(s),a=vd(s);return i=$.runKernel(Fo,{x:i},r),a=$.runKernel(Fo,{x:a},r),e&&(a=ne(a)),Ho(i,a)}):$.runKernel(Fo,o,r)}const kt=M({transpose_:bk});/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function xk(n,t){if(t==null)return n.shape.slice();if(Rt(n.shape,t))return t;if(n.shape.length===t.length){const e=[];for(let s=0;s`x has to be a floating point tensor since it's going to be scaled, but got a ${o.dtype} tensor instead.`),S(t>=0&&t<1,()=>`rate must be a float in the range [0, 1), but got ${t}.`),t===0)return n instanceof ae?o.clone():o;const r=xk(o,e),i=1-t,a=dt(zc(Q(Wi(r,0,1,"float32",s),i)),i);return L(o,a)}const Ck=M({dropout_:yk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ik(n,t,e,s,o,r="NHWC",i){let a=n;n.rank===3&&(a=z(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let c=t;c.rank===3&&(c=z(t,[1,t.shape[0],t.shape[1],t.shape[2]])),S(a.rank===4,()=>`Error in conv2dDerFilter: input must be rank 4, but got shape ${a.shape}.`),S(c.rank===4,()=>`Error in conv2dDerFilter: dy must be rank 4, but got shape ${c.shape}.`),S(e.length===4,()=>`Error in conv2dDerFilter: filterShape must be length 4, but got ${e}.`);const l=r==="NHWC"?a.shape[3]:a.shape[1],u=r==="NHWC"?c.shape[3]:c.shape[1];S(l===e[2],()=>`Error in conv2dDerFilter: depth of input ${l}) must match input depth in filter (${e[2]}.`),S(u===e[3],()=>`Error in conv2dDerFilter: depth of dy (${u}) must match output depth for filter (${e[3]}).`),Ze("conv2dDerFilter",o,i);const d={x:a,dy:c},h={strides:s,pad:o,dataFormat:r,dimRoundingMode:i,filterShape:e};return $.runKernel(hu,d,h)}const Ad=M({conv2DBackpropFilter_:Ik});/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Hd(n,t,e){if(e==null||e==="linear")return n;if(e==="relu")return L(n,zi(t));throw new Error(`Cannot compute gradient for fused activation ${e}.`)}function Bd(n,t){let e=t;const s=ce(n.shape,t.shape);return s.length>0&&(e=ut(e,s)),z(e,n.shape)}function Ud(n,t,e,s){if(t==="linear")return n;if(t==="relu")return ao(n);if(t==="elu")return Wc(n);if(t==="relu6")return _m(n);if(t==="prelu")return $d(n,e);if(t==="leakyrelu")return kd(n,s);if(t==="sigmoid")return _o(n);throw new Error(`Unknown fused activation ${t}.`)}const _d=(n,t)=>!(n>0)||t==="linear";/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function wk({x:n,filter:t,strides:e,pad:s,dataFormat:o="NHWC",dilations:r=[1,1],dimRoundingMode:i,bias:a,activation:c="linear",preluActivationWeights:l,leakyreluAlpha:u}){if(c=c||"linear",_d($.state.gradientDepth,c)===!1){S(o==="NHWC",()=>`Error in fused conv2d: got dataFormat of ${o} but only NHWC is currently supported for the case of gradient depth is 0 and the activation is not linear.`);let w=so(n,t,e,s,o,r,i);return a!=null&&(w=Q(w,a)),Ud(w,c,l,u)}const d=N(n,"x","conv2d","float32"),h=N(t,"filter","conv2d","float32");let p=d,f=!1;d.rank===3&&(f=!0,p=z(d,[1,d.shape[0],d.shape[1],d.shape[2]])),S(p.rank===4,()=>`Error in fused conv2d: input must be rank 4, but got rank ${p.rank}.`),S(h.rank===4,()=>`Error in fused conv2d: filter must be rank 4, but got rank ${h.rank}.`),Ze("fused conv2d",s,i);const m=o==="NHWC"?p.shape[3]:p.shape[1];S(h.shape[2]===m,()=>`Error in conv2d: depth of input (${m}) must match input depth for filter ${h.shape[2]}.`),S(Ne(e,r),()=>`Error in conv2D: Either strides or dilations must be 1. Got strides ${e} and dilations '${r}'`);const g=Ce(p.shape,h.shape,e,r,s,i);let b;a!=null&&(b=N(a,"bias","fused conv2d"),[b]=te(b,d),o==="NHWC"?gt(g.outShape,b.shape):(S(b.shape.length<=1,()=>`Error in fused conv2d: only supports scalar or 1-D Tensor bias for NCHW format but got the bias of rank-${b.shape.length}.`),S(b.shape.length===0||b.shape[0]===g.outChannels||b.shape[0]===1,()=>`Error in fused conv2d: bias shape (${b.shape}) is not compatible with the number of output channels (${g.outChannels})`)));let x;if(l!=null){const w=l.shape;if(S(w.length<=1||w.length===3,()=>`Error in fused conv2d: only supports scalar, 1-D Tensor or 3-D Tensor PReLU activation weights but got a tensor of rank-${w.length}.`),w.length===1)S(w[0]===1||w[0]===g.outChannels,()=>`Error in fused conv2d: PReLU activation weights (${w}) is not compatible with the number of output channels (${g.outChannels}).`);else if(w.length===3)try{gt(w,g.outShape)}catch{const v=`Error in fused conv2d: PReLU activation weights (${w}) is not compatible with the output shape of the conv2d (${g.outShape}).`;throw Error(v)}x=N(l,"prelu weights","fused conv2d")}const C=(w,k)=>{S(o==="NHWC",()=>`Error in gradient of fused conv2D: got dataFormat of ${o} but only NHWC is currently supported.`);const[v,T,R,W]=k,E=Hd(w,R,c);S(eo(r),()=>`Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${r}'`);const K=xd(T.shape,E,v,e,s),Z=Ad(T,E,v.shape,e,s),F=[K,Z];if(W!=null){const D=Bd(W,E);F.push(D)}return F},y={x:p,filter:h,bias:b,preluActivationWeights:x},I={strides:e,pad:s,dataFormat:o,dilations:r,dimRoundingMode:i,activation:c,leakyreluAlpha:u};return a==null?Jo((k,v,T)=>{let R=$.runKernel(Ic,y,I);return T([v,k,R]),f&&(R=z(R,[R.shape[1],R.shape[2],R.shape[3]])),{value:R,gradFunc:C}})(p,h):Jo((k,v,T,R)=>{let W=$.runKernel(Ic,y,I);return R([v,k,W,T]),f&&(W=z(W,[W.shape[1],W.shape[2],W.shape[3]])),{value:W,gradFunc:C}})(p,h,b)}const Sk=M({fusedConv2d_:wk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function vk(n,t,e,s,o,r=[1,1],i){let a=n;n.rank===3&&(a=z(n,[1,n.shape[0],n.shape[1],n.shape[2]]));let c=t;c.rank===3&&(c=z(t,[1,t.shape[0],t.shape[1],t.shape[2]]));const l={x:a,dy:c},u={strides:s,pad:o,dimRoundingMode:i,dilations:r,filterShape:e};return $.runKernel(yu,l,u)}const kk=M({depthwiseConv2dNativeBackpropFilter_:vk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Tk(n,t,e,s,o,r=[1,1],i){let a=t,c=!1;t.rank===3&&(c=!0,a=z(t,[1,t.shape[0],t.shape[1],t.shape[2]]));const l={dy:a,filter:e},u={strides:s,pad:o,dimRoundingMode:i,dilations:r,inputShape:n},d=$.runKernel(Cu,l,u);return c?z(d,[d.shape[1],d.shape[2],d.shape[3]]):d}const Nk=M({depthwiseConv2dNativeBackpropInput_:Tk});/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Rk({a:n,b:t,transposeA:e=!1,transposeB:s=!1,bias:o,activation:r="linear",preluActivationWeights:i,leakyreluAlpha:a=.2}){if(_d($.state.gradientDepth,r)===!1){let W=Gt(n,t,e,s);return o!=null&&(W=Q(W,o)),Ud(W,r,i,a)}let c=N(n,"a","fused matMul"),l=N(t,"b","fused matMul");[c,l]=te(c,l);const u=e?c.shape[c.rank-2]:c.shape[c.rank-1],d=s?l.shape[l.rank-1]:l.shape[l.rank-2],h=e?c.shape[c.rank-1]:c.shape[c.rank-2],p=s?l.shape[l.rank-2]:l.shape[l.rank-1],f=c.shape.slice(0,-2),m=l.shape.slice(0,-2),g=A(f),b=A(m);S(u===d,()=>`Error in fused matMul: inner shapes (${u}) and (${d}) of Tensors with shapes ${c.shape} and ${l.shape} and transposeA=${e} and transposeB=${s} must match.`);const C=gt(c.shape.slice(0,-2),l.shape.slice(0,-2)).concat([h,p]),y=e?z(c,[g,u,h]):z(c,[g,h,u]),I=s?z(l,[b,p,d]):z(l,[b,d,p]);let w;o!=null&&(w=N(o,"bias","fused matMul"),[w]=te(w,c),gt(C,w.shape));let k;i!=null&&(k=N(i,"prelu weights","fused matMul"));const v=(W,E)=>{const[K,Z,F,D]=E,H=Hd(z(W,F.shape),F,r);let O,B;if(!e&&!s?(O=Gt(H,Z,!1,!0),B=Gt(K,H,!0,!1)):!e&&s?(O=Gt(H,Z,!1,!1),B=Gt(H,K,!0,!1)):e&&!s?(O=Gt(Z,H,!1,!0),B=Gt(K,H,!1,!1)):(O=Gt(Z,H,!0,!0),B=Gt(H,K,!0,!0)),o!=null){const _=Bd(D,H);return[O,B,_]}else return[O,B]},T={a:y,b:I,bias:w,preluActivationWeights:k},R={transposeA:e,transposeB:s,activation:r,leakyreluAlpha:a};return o==null?Jo((E,K,Z)=>{const F=$.runKernel(Cc,T,R);return Z([E,K,F]),{value:z(F,C),gradFunc:v}})(y,I):Jo((E,K,Z,F)=>{const D=$.runKernel(Cc,T,R);return F([E,K,D,Z]),{value:z(D,C),gradFunc:v}})(y,I,w)}const ig=M({fusedMatMul_:Rk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Gk(n,t,e,s,o="bilinear",r=0){const i=N(n,"image","cropAndResize"),a=N(t,"boxes","cropAndResize","float32"),c=N(e,"boxInd","cropAndResize","int32"),l=a.shape[0];S(i.rank===4,()=>`Error in cropAndResize: image must be rank 4,but got rank ${i.rank}.`),S(a.rank===2&&a.shape[1]===4,()=>`Error in cropAndResize: boxes must be have size [${l},4] but had shape ${a.shape}.`),S(c.rank===1&&c.shape[0]===l,()=>`Error in cropAndResize: boxInd must be have size [${l}] but had shape ${a.shape}.`),S(s.length===2,()=>`Error in cropAndResize: cropSize must be of length 2, but got length ${s.length}.`),S(s[0]>=1&&s[1]>=1,()=>`cropSize must be atleast [1,1], but was ${s}`),S(o==="bilinear"||o==="nearest",()=>`method must be bilinear or nearest, but was ${o}`);const u={image:i,boxes:a,boxInd:c},d={method:o,extrapolationValue:r,cropSize:s};return $.runKernel(gu,u,d)}const Lk=M({cropAndResize_:Gk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function $k(n){const t=N(n,"image","flipLeftRight","float32");S(t.rank===4,()=>`Error in flipLeftRight: image must be rank 4,but got rank ${t.rank}.`);const e={image:t};return $.runKernel(Nu,e,{})}const Wk=M({flipLeftRight_:$k});/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Xk(n){const t=N(n,"image","grayscaleToRGB"),e=t.rank-1,s=t.shape[e];S(t.rank>=2,()=>`Error in grayscaleToRGB: images must be at least rank 2, but got rank ${t.rank}.`),S(s===1,()=>`Error in grayscaleToRGB: last dimension of a grayscale image should be size 1, but got size ${s}.`);const o=new Array(t.rank);return o.fill(1,0,e),o[e]=3,Nn(t,o)}const Mk=M({grayscaleToRGB_:Xk});/** * @license * Copyright 2023 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zk(n){const t=N(n,"image","RGBToGrayscale"),e=t.rank-1,s=t.shape[e];S(t.rank>=2,()=>`Error in RGBToGrayscale: images must be at least rank 2, but got rank ${t.rank}.`),S(s===3,()=>`Error in RGBToGrayscale: last dimension of an RGB image should be size 3, but got size ${s}.`);const o=t.dtype,r=st(t,"float32"),i=_e([.2989,.587,.114]);let a;switch(t.rank){case 2:a=Gi("ij,j->i",r,i);break;case 3:a=Gi("ijk,k->ij",r,i);break;case 4:a=Gi("ijkl,l->ijk",r,i);break;case 5:a=Gi("ijklm,m->ijkl",r,i);break;case 6:a=Gi("ijklmn,n->ijklm",r,i);break;default:throw new Error("Not a valid tensor rank.")}return a=De(a,-1),st(a,o)}const Vk=M({rgbToGrayscale_:zk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ek(n,t,e=0,s=.5){const o=N(n,"image","rotateWithOffset","float32");S(o.rank===4,()=>`Error in rotateWithOffset: image must be rank 4,but got rank ${o.rank}.`);const r={image:o},i={radians:t,fillValue:e,center:s};return $.runKernel(Uu,r,i)}const Kk=M({rotateWithOffset_:Ek});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function jo(n,t,e,s,o,r){s==null&&(s=.5),o==null&&(o=Number.NEGATIVE_INFINITY),r==null&&(r=0);const i=n.shape[0];return e=Math.min(e,i),S(0<=s&&s<=1,()=>`iouThreshold must be in [0, 1], but was '${s}'`),S(n.rank===2,()=>`boxes must be a 2D tensor, but was of rank '${n.rank}'`),S(n.shape[1]===4,()=>`boxes must have 4 columns, but 2nd dimension was ${n.shape[1]}`),S(t.rank===1,()=>"scores must be a 1D tensor"),S(t.shape[0]===i,()=>`scores has incompatible shape with boxes. Expected ${i}, but was ${t.shape[0]}`),S(0<=r&&r<=1,()=>`softNmsSigma must be in [0, 1], but was '${r}'`),{maxOutputSize:e,iouThreshold:s,scoreThreshold:o,softNmsSigma:r}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Zk(n,t,e,s=.5,o=Number.NEGATIVE_INFINITY){const r=N(n,"boxes","nonMaxSuppression","float32"),i=N(t,"scores","nonMaxSuppression","float32"),a=jo(r,i,e,s,o);e=a.maxOutputSize,s=a.iouThreshold,o=a.scoreThreshold;const c={maxOutputSize:e,iouThreshold:s,scoreThreshold:o};return $.runKernel(Xu,{boxes:r,scores:i},c)}const Fk=M({nonMaxSuppression_:Zk});/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Dk(n,t,e){const s=Pk(n,t,e),o=s<0?-(s+1):s;n.splice(o,0,t)}function Pk(n,t,e){return Ak(n,t,e||Ok)}function Ok(n,t){return n>t?1:n>>1);const a=e(t,n[r]);a>0?s=r+1:(o=r,i=!a)}return i?s:-s-1}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Yd(n,t,e,s,o){return jd(n,t,e,s,o,0)}function Qd(n,t,e,s,o,r){return jd(n,t,e,s,o,0,!1,r,!0)}function Jd(n,t,e,s,o,r){return jd(n,t,e,s,o,r,!0)}function jd(n,t,e,s,o,r,i=!1,a=!1,c=!1){const l=[];for(let g=0;go&&l.push({score:t[g],boxIndex:g,suppressBeginIndex:0});l.sort(ag);const u=r>0?-.5/r:0,d=[],h=[];for(;d.length0;){const g=l.pop(),{score:b,boxIndex:x,suppressBeginIndex:C}=g;if(b=C;--I){const w=Hk(n,x,d[I]);if(w>=s){y=!0;break}if(g.score=g.score*Bk(s,u,w),g.score<=o)break}g.suppressBeginIndex=d.length,y||(g.score===b?(d.push(x),h.push(g.score)):g.score>o&&Dk(l,g,ag))}const p=d.length,f=e-p;a&&f>0&&(d.push(...new Array(f).fill(0)),h.push(...new Array(f).fill(0)));const m={selectedIndices:d};return i&&(m.selectedScores=h),c&&(m.validOutputs=p),m}function Hk(n,t,e){const s=n.subarray(t*4,t*4+4),o=n.subarray(e*4,e*4+4),r=Math.min(s[0],s[2]),i=Math.min(s[1],s[3]),a=Math.max(s[0],s[2]),c=Math.max(s[1],s[3]),l=Math.min(o[0],o[2]),u=Math.min(o[1],o[3]),d=Math.max(o[0],o[2]),h=Math.max(o[1],o[3]),p=(a-r)*(c-i),f=(d-l)*(h-u);if(p<=0||f<=0)return 0;const m=Math.max(r,l),g=Math.max(i,u),b=Math.min(a,d),x=Math.min(c,h),C=Math.max(b-m,0)*Math.max(x-g,0);return C/(p+f-C)}function Bk(n,t,e){const s=Math.exp(t*e*e);return e<=n?s:0}function ag(n,t){return n.score-t.score||n.score===t.score&&t.boxIndex-n.boxIndex}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */async function Uk(n,t,e,s=.5,o=Number.NEGATIVE_INFINITY){const r=N(n,"boxes","nonMaxSuppressionAsync"),i=N(t,"scores","nonMaxSuppressionAsync"),a=jo(r,i,e,s,o);e=a.maxOutputSize,s=a.iouThreshold,o=a.scoreThreshold;const c=await Promise.all([r.data(),i.data()]),l=c[0],u=c[1],{selectedIndices:d}=Yd(l,u,e,s,o);return r!==n&&r.dispose(),i!==t&&i.dispose(),_e(d,"int32")}const _k=Uk;/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Yk(n,t,e,s=.5,o=Number.NEGATIVE_INFINITY,r=0){const i=N(n,"boxes","nonMaxSuppression"),a=N(t,"scores","nonMaxSuppression"),c=jo(i,a,e,s,o,r);e=c.maxOutputSize,s=c.iouThreshold,o=c.scoreThreshold,r=c.softNmsSigma;const l={boxes:i,scores:a},u={maxOutputSize:e,iouThreshold:s,scoreThreshold:o,softNmsSigma:r},d=$.runKernel(zu,l,u);return{selectedIndices:d[0],selectedScores:d[1]}}const Qk=M({nonMaxSuppressionWithScore_:Yk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */async function Jk(n,t,e,s=.5,o=Number.NEGATIVE_INFINITY,r=0){const i=N(n,"boxes","nonMaxSuppressionAsync"),a=N(t,"scores","nonMaxSuppressionAsync"),c=jo(i,a,e,s,o,r);e=c.maxOutputSize,s=c.iouThreshold,o=c.scoreThreshold,r=c.softNmsSigma;const l=await Promise.all([i.data(),a.data()]),u=l[0],d=l[1],{selectedIndices:h,selectedScores:p}=Jd(u,d,e,s,o,r);return i!==n&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:_e(h,"int32"),selectedScores:_e(p)}}const jk=Jk;/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function qk(n,t,e,s=.5,o=Number.NEGATIVE_INFINITY,r=!1){const i=N(n,"boxes","nonMaxSuppression"),a=N(t,"scores","nonMaxSuppression"),c=jo(i,a,e,s,o,null),l=c.maxOutputSize,u=c.iouThreshold,d=c.scoreThreshold,h={boxes:i,scores:a},p={maxOutputSize:l,iouThreshold:u,scoreThreshold:d,padToMaxOutputSize:r},f=$.runKernel(Mu,h,p);return{selectedIndices:f[0],validOutputs:f[1]}}const tT=M({nonMaxSuppressionPadded_:qk});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */async function eT(n,t,e,s=.5,o=Number.NEGATIVE_INFINITY,r=!1){const i=N(n,"boxes","nonMaxSuppressionAsync"),a=N(t,"scores","nonMaxSuppressionAsync"),c=jo(i,a,e,s,o,null),l=c.maxOutputSize,u=c.iouThreshold,d=c.scoreThreshold,[h,p]=await Promise.all([i.data(),a.data()]),{selectedIndices:f,validOutputs:m}=Qd(h,p,l,u,d,r);return i!==n&&i.dispose(),a!==t&&a.dispose(),{selectedIndices:_e(f,"int32"),validOutputs:Lt(m,"int32")}}const nT=eT;/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function sT(n,t,e=!1,s=!1){const o=N(n,"images","resizeBilinear");S(o.rank===3||o.rank===4,()=>`Error in resizeBilinear: x must be rank 3 or 4, but got rank ${o.rank}.`),S(t.length===2,()=>`Error in resizeBilinear: new shape must 2D, but got shape ${t}.`),S(s===!1||e===!1,()=>"Error in resizeBilinear: If halfPixelCenters is true, alignCorners must be false.");let r=o,i=!1;o.rank===3&&(i=!0,r=z(o,[1,o.shape[0],o.shape[1],o.shape[2]]));const a={images:r},c={alignCorners:e,halfPixelCenters:s,size:t},l=$.runKernel(lc,a,c);return i?z(l,[l.shape[1],l.shape[2],l.shape[3]]):l}const cg=M({resizeBilinear_:sT});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function oT(n,t,e=!1,s=!1){const o=N(n,"images","resizeNearestNeighbor");S(o.rank===3||o.rank===4,()=>`Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank ${o.rank}.`),S(t.length===2,()=>`Error in resizeNearestNeighbor: new shape must 2D, but got shape ${t}.`),S(o.dtype==="float32"||o.dtype==="int32",()=>"`images` must have `int32` or `float32` as dtype"),S(s===!1||e===!1,()=>"Error in resizeNearestNeighbor: If halfPixelCenters is true, alignCorners must be false.");let r=o,i=!1;o.rank===3&&(i=!0,r=z(o,[1,o.shape[0],o.shape[1],o.shape[2]]));const a={images:r},c={alignCorners:e,halfPixelCenters:s,size:t},l=$.runKernel(cc,a,c);return i?z(l,[l.shape[1],l.shape[2],l.shape[3]]):l}const lg=M({resizeNearestNeighbor_:oT});/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * https://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function rT(n,t="binary",e=!1,s=.5){const o=N(n,"image","threshold"),r=.2989,i=.587,a=.114,c=o.shape[0]*o.shape[1];let l=L(_e([s]),255),u,d,h,p;if(S(o.rank===3,()=>`Error in threshold: image must be rank 3,but got rank ${o.rank}.`),S(o.shape[2]===3||o.shape[2]===1,()=>`Error in threshold: image color channel must be equal to 3 or 1but got ${o.shape[2]}.`),S(o.dtype==="int32"||o.dtype==="float32",()=>`Error in dtype: image dtype must be int32 or float32,but got dtype ${o.dtype}.`),S(t==="otsu"||t==="binary",()=>`Method must be binary or otsu, but was ${t}`),o.shape[2]===3){[u,d,h]=on(o,[1,1,1],-1);const g=L(u,r),b=L(d,i),x=L(h,a);p=Q(Q(g,b),x)}else p=n;if(t==="otsu"){const g=iw(st(Ym(p),"int32"),tn([]),256);l=iT(g,c)}const f=e?Qo(p,l):sn(p,l);return st(L(f,255),"int32")}function iT(n,t){let e=_e([-1]),s=_e([0]),o=_e([0]),r,i,a,c,l,u;for(let d=0;d`Error in transform: image must be rank 4,but got rank ${i.rank}.`),S(a.rank===2&&(a.shape[0]===i.shape[0]||a.shape[0]===1)&&a.shape[1]===8,()=>"Error in transform: Input transform should be batch x 8 or 1 x 8"),S(r==null||r.length===2,()=>`Error in transform: outputShape must be [height, width] or null, but got ${r}.`);const c={image:i,transforms:a},l={interpolation:e,fillMode:s,fillValue:o,outputShape:r};return $.runKernel(Au,c,l)}const lT=M({transform_:cT});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function uT(n,t,e){const s=N(n,"a","bandPart");S(s.rank>=2,()=>`bandPart(): Rank must be at least 2, got ${s.rank}.`);const o=s.shape,[r,i]=s.shape.slice(-2);let a,c;typeof t=="number"?(S(t%1===0,()=>`bandPart(): numLower must be an integer, got ${t}.`),S(t<=r,()=>`bandPart(): numLower (${t}) must not be greater than the number of rows (${r}).`),a=N(t<0?r:t,"numLower","bandPart")):(S(t.dtype==="int32",()=>"bandPart(): numLower's dtype must be an int32."),a=Xe(Vc(t,0),r,$i(t,r))),typeof e=="number"?(S(e%1===0,()=>`bandPart(): numUpper must be an integer, got ${e}.`),S(e<=i,()=>`bandPart(): numUpper (${e}) must not be greater than the number of columns (${i}).`),c=N(e<0?i:e,"numUpper","bandPart")):(S(e.dtype==="int32",()=>"bandPart(): numUpper's dtype must be an int32."),c=Xe(Vc(e,0),i,$i(e,i)));const l=z(Xi(0,r,1,"int32"),[-1,1]),u=Xi(0,i,1,"int32"),d=pt(l,u),h=rs(Qo(d,a),ro(d,ne(c))),p=be([r,i],s.dtype);return z(Pn(uo(z(s,[-1,r,i])).map(f=>Xe(h,f,p))),o)}const dT=M({bandPart_:uT});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function hT(n){let t;if(Array.isArray(n)){t=!1,S(n!=null&&n.length>0,()=>"Gram-Schmidt process: input must not be null, undefined, or empty");const o=n[0].shape[0];for(let r=1;r`Gram-Schmidt: Non-unique lengths found in the input vectors: (${n[r].shape[0]} vs. ${o})`)}else t=!0,n=on(n,n.shape[0],0).map(o=>Mi(o,[0]));S(n.length<=n[0].shape[0],()=>`Gram-Schmidt: Number of vectors (${n.length}) exceeds number of dimensions (${n[0].shape[0]}).`);const e=[],s=n;for(let o=0;o{let r=s[o];if(o>0)for(let i=0;i=2,()=>`qr() requires input tensor to have a rank >= 2, but got rank ${n.rank}`),n.rank===2)return ug(n,t);{const e=n.shape.slice(0,n.shape.length-2).reduce((c,l)=>c*l),s=uo(z(n,[e,n.shape[n.shape.length-2],n.shape[n.shape.length-1]]),0),o=[],r=[];s.forEach(c=>{const[l,u]=ug(c,t);o.push(l),r.push(u)});const i=z(Pn(o,0),n.shape),a=z(Pn(r,0),n.shape);return[i,a]}}function ug(n,t=!1){return $.tidy(()=>{S(n.shape.length===2,()=>`qr2d() requires a 2D Tensor, but got a ${n.shape.length}D Tensor.`);const e=n.shape[0],s=n.shape[1];let o=Fm(e),r=to(n);const i=Od([[1]],[1,1]);let a=to(i);const c=e>=s?s:e;for(let l=0;l{const p=Zt(r,[l,l],[e-l,1]),f=Mc(p),m=Zt(r,[l,l],[1,1]),g=Xe(sn(m,0),Od([[-1]]),Od([[1]])),b=pt(m,L(g,f)),x=dt(p,b);x.shape[0]===1?a=to(i):a=Fe([i,Zt(x,[1,0],[x.shape[0]-1,x.shape[1]])],0);const C=ne(dt(Gt(g,b),f)),y=Zt(r,[l,0],[e-l,s]),I=L(C,a),w=kt(a);if(l===0)r=pt(y,Gt(I,Gt(w,y)));else{const T=pt(y,Gt(I,Gt(w,y)));r=Fe([Zt(r,[0,0],[l,s]),T],0)}const k=kt(I),v=Zt(o,[0,l],[e,o.shape[1]-l]);if(l===0)o=pt(v,Gt(Gt(v,a),k));else{const T=pt(v,Gt(Gt(v,a),k));o=Fe([Zt(o,[0,0],[e,l]),T],1)}return[a,r,o]}),St([u,d,h])}return!t&&e>s&&(o=Zt(o,[0,0],[e,s]),r=Zt(r,[0,0],[s,s])),[o,r]})}const mT=M({qr_:fT});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const is={flipLeftRight:Wk,grayscaleToRGB:Mk,resizeNearestNeighbor:lg,resizeBilinear:cg,rgbToGrayscale:Vk,rotateWithOffset:Kk,cropAndResize:Lk,nonMaxSuppression:Fk,nonMaxSuppressionAsync:_k,nonMaxSuppressionWithScore:Qk,nonMaxSuppressionWithScoreAsync:jk,nonMaxSuppressionPadded:tT,nonMaxSuppressionPaddedAsync:nT,threshold:aT,transform:lT},gT={bandPart:dT,gramSchmidt:pT,qr:mT};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const bT=new Map,xT=new Map;class qo{getClassName(){return this.constructor.className}static fromConfig(t,e){return new t(e)}}class mn{constructor(){this.classNameMap={}}static getMap(){return mn.instance==null&&(mn.instance=new mn),mn.instance}static register(t){mn.getMap().classNameMap[t.className]=[t,t.fromConfig]}}function U(n,t,e){S(n.className!=null,()=>"Class being registered does not have the static className property defined."),S(typeof n.className=="string",()=>"className is required to be a string, but got type "+typeof n.className),S(n.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),typeof t>"u"&&(t="Custom"),typeof e>"u"&&(e=n.className);const s=e,o=t+">"+s;return mn.register(n),bT.set(o,n),xT.set(n,o),n}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Ts extends qo{minimize(t,e=!1,s){const{value:o,grads:r}=this.computeGradients(t,s);if(s!=null){const i=s.map(a=>({name:a.name,tensor:r[a.name]}));this.applyGradients(i)}else this.applyGradients(r);return St(r),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return NS(t,e)}dispose(){this.iterations_!=null&&St(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:Lt(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(t){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}}Object.defineProperty(Ts,Symbol.hasInstance,{value:n=>n.minimize!=null&&n.computeGradients!=null&&n.applyGradients!=null});/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class dg extends Ts{static get className(){return"Adadelta"}constructor(t,e,s=null){super(),this.learningRate=t,this.rho=e,this.epsilon=s,this.accumulatedGrads=[],this.accumulatedUpdates=[],s==null&&(this.epsilon=$.backend.epsilon())}applyGradients(t){(Array.isArray(t)?t.map(s=>s.name):Object.keys(t)).forEach((s,o)=>{const r=$.registeredVariables[s],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${s}/accum_grad`,variable:X(()=>vt(r).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${s}/accum_var`,variable:X(()=>vt(r).variable(i))});const a=Array.isArray(t)?t[o].tensor:t[s];if(a==null)return;const c=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;X(()=>{const u=Q(L(c,this.rho),L(Ht(a),1-this.rho)),d=L(dt(Re(Q(l,this.epsilon)),Re(Q(c,this.epsilon))),a),h=Q(L(l,this.rho),L(Ht(d),1-this.rho));c.assign(u),l.assign(h);const p=Q(L(d,-this.learningRate),r);r.assign(p)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(St(this.accumulatedGrads.map(t=>t.variable)),St(this.accumulatedUpdates.map(t=>t.variable)))}async getWeights(){const t=[...this.accumulatedGrads,...this.accumulatedUpdates];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);const e=t.length/2,s=!1;this.accumulatedGrads=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(s)})),this.accumulatedUpdates=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(s)}))}getConfig(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.rho,e.epsilon)}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class hg extends Ts{static get className(){return"Adagrad"}constructor(t,e=.1){super(),this.learningRate=t,this.initialAccumulatorValue=e,this.accumulatedGrads=[]}applyGradients(t){(Array.isArray(t)?t.map(s=>s.name):Object.keys(t)).forEach((s,o)=>{const r=$.registeredVariables[s];this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${s}/accumulator`,variable:X(()=>$c(r.shape,this.initialAccumulatorValue).variable(!1))});const i=Array.isArray(t)?t[o].tensor:t[s];if(i==null)return;const a=this.accumulatedGrads[o].variable;X(()=>{const c=Q(a,Ht(i));a.assign(c);const l=Q(L(dt(i,Re(Q(c,$.backend.epsilon()))),-this.learningRate),r);r.assign(l)})}),this.incrementIterations()}dispose(){this.accumulatedGrads!=null&&St(this.accumulatedGrads.map(t=>t.variable))}async getWeights(){return[await this.saveIterations()].concat(this.accumulatedGrads.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);const e=!1;this.accumulatedGrads=t.map(s=>({originalName:s.name,variable:s.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}}static fromConfig(t,e){return new t(e.learningRate,e.initialAccumulatorValue)}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class pg extends Ts{static get className(){return"Adam"}constructor(t,e,s,o=null){super(),this.learningRate=t,this.beta1=e,this.beta2=s,this.epsilon=o,this.accumulatedFirstMoment=[],this.accumulatedSecondMoment=[],X(()=>{this.accBeta1=Lt(e).variable(),this.accBeta2=Lt(s).variable()}),o==null&&(this.epsilon=$.backend.epsilon())}applyGradients(t){const e=Array.isArray(t)?t.map(s=>s.name):Object.keys(t);X(()=>{const s=pt(1,this.accBeta1),o=pt(1,this.accBeta2);e.forEach((r,i)=>{const a=$.registeredVariables[r],c=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${r}/m`,variable:X(()=>vt(a).variable(c))}),this.accumulatedSecondMoment[i]==null&&(this.accumulatedSecondMoment[i]={originalName:`${r}/v`,variable:X(()=>vt(a).variable(c))});const l=Array.isArray(t)?t[i].tensor:t[r];if(l==null)return;const u=this.accumulatedFirstMoment[i].variable,d=this.accumulatedSecondMoment[i].variable,h=Q(L(u,this.beta1),L(l,1-this.beta1)),p=Q(L(d,this.beta2),L(Ht(l),1-this.beta2)),f=dt(h,s),m=dt(p,o);u.assign(h),d.assign(p);const g=Q(L(dt(f,Q(Re(m),this.epsilon)),-this.learningRate),a);a.assign(g)}),this.accBeta1.assign(L(this.accBeta1,this.beta1)),this.accBeta2.assign(L(this.accBeta2,this.beta2))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&St(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedSecondMoment!=null&&St(this.accumulatedSecondMoment.map(t=>t.variable))}async getWeights(){const t=[...this.accumulatedFirstMoment,...this.accumulatedSecondMoment];return[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t),X(()=>{this.accBeta1.assign(oo(this.beta1,this.iterations_+1)),this.accBeta2.assign(oo(this.beta2,this.iterations_+1))});const e=t.length/2,s=!1;this.accumulatedFirstMoment=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(s)})),this.accumulatedSecondMoment=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(s)}))}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class fg extends Ts{static get className(){return"Adamax"}constructor(t,e,s,o=null,r=0){super(),this.learningRate=t,this.beta1=e,this.beta2=s,this.epsilon=o,this.decay=r,this.accumulatedFirstMoment=[],this.accumulatedWeightedInfNorm=[],X(()=>{this.iteration=Lt(0).variable(),this.accBeta1=Lt(e).variable()}),o==null&&(this.epsilon=$.backend.epsilon())}applyGradients(t){const e=Array.isArray(t)?t.map(s=>s.name):Object.keys(t);X(()=>{const s=pt(1,this.accBeta1),o=dt(-this.learningRate,Q(L(this.iteration,this.decay),1));e.forEach((r,i)=>{const a=$.registeredVariables[r],c=!1;this.accumulatedFirstMoment[i]==null&&(this.accumulatedFirstMoment[i]={originalName:`${r}/m`,variable:vt(a).variable(c)}),this.accumulatedWeightedInfNorm[i]==null&&(this.accumulatedWeightedInfNorm[i]={originalName:`${r}/v`,variable:vt(a).variable(c)});const l=Array.isArray(t)?t[i].tensor:t[r];if(l==null)return;const u=this.accumulatedFirstMoment[i].variable,d=this.accumulatedWeightedInfNorm[i].variable,h=Q(L(u,this.beta1),L(l,1-this.beta1)),p=L(d,this.beta2),f=We(l),m=vs(p,f);u.assign(h),d.assign(m);const g=Q(L(dt(o,s),dt(h,Q(m,this.epsilon))),a);a.assign(g)}),this.iteration.assign(Q(this.iteration,1)),this.accBeta1.assign(L(this.accBeta1,this.beta1))}),this.incrementIterations()}dispose(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&St(this.accumulatedFirstMoment.map(t=>t.variable)),this.accumulatedWeightedInfNorm!=null&&St(this.accumulatedWeightedInfNorm.map(t=>t.variable))}async getWeights(){throw new Error("getWeights() is not implemented for Adamax yet.")}async setWeights(t){throw new Error("setWeights() is not implemented for Adamax yet.")}getConfig(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}}static fromConfig(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class qd extends Ts{static get className(){return"SGD"}constructor(t){super(),this.learningRate=t,this.setLearningRate(t)}applyGradients(t){(Array.isArray(t)?t.map(s=>s.name):Object.keys(t)).forEach((s,o)=>{const r=Array.isArray(t)?t[o].tensor:t[s];if(r==null)return;const i=$.registeredVariables[s];X(()=>{const a=Q(L(this.c,r),i);i.assign(a)})}),this.incrementIterations()}setLearningRate(t){this.learningRate=t,this.c!=null&&this.c.dispose(),this.c=en(Lt(-t))}dispose(){this.c.dispose()}async getWeights(){return[await this.saveIterations()]}async setWeights(t){if(t=await this.extractIterations(t),t.length!==0)throw new Error("SGD optimizer does not have settable weights.")}getConfig(){return{learningRate:this.learningRate}}static fromConfig(t,e){return new t(e.learningRate)}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class mg extends qd{static get className(){return"Momentum"}constructor(t,e,s=!1){super(t),this.learningRate=t,this.momentum=e,this.useNesterov=s,this.accumulations=[],this.m=Lt(this.momentum)}applyGradients(t){(Array.isArray(t)?t.map(s=>s.name):Object.keys(t)).forEach((s,o)=>{const r=$.registeredVariables[s];this.accumulations[o]==null&&(this.accumulations[o]={originalName:`${s}/momentum`,variable:X(()=>vt(r).variable(!1))});const i=this.accumulations[o].variable,a=Array.isArray(t)?t[o].tensor:t[s];a!=null&&X(()=>{let c;const l=Q(L(this.m,i),a);this.useNesterov?c=Q(L(this.c,Q(a,L(l,this.m))),r):c=Q(L(this.c,l),r),i.assign(l),r.assign(c)})}),this.incrementIterations()}dispose(){this.m.dispose(),this.accumulations!=null&&St(this.accumulations.map(t=>t.variable))}setMomentum(t){this.momentum=t}async getWeights(){return[await this.saveIterations()].concat(this.accumulations.map(t=>({name:t.originalName,tensor:t.variable})))}async setWeights(t){t=await this.extractIterations(t);const e=!1;this.accumulations=t.map(s=>({originalName:s.name,variable:s.tensor.variable(e)}))}getConfig(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}static fromConfig(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class gg extends Ts{static get className(){return"RMSProp"}constructor(t,e=.9,s=0,o=null,r=!1){if(super(),this.learningRate=t,this.decay=e,this.momentum=s,this.epsilon=o,this.accumulatedMeanSquares=[],this.accumulatedMoments=[],this.accumulatedMeanGrads=[],this.centered=r,o==null&&(this.epsilon=$.backend.epsilon()),t==null)throw new Error("learningRate for RMSPropOptimizer must be defined.")}applyGradients(t){(Array.isArray(t)?t.map(s=>s.name):Object.keys(t)).forEach((s,o)=>{const r=$.registeredVariables[s],i=!1;this.accumulatedMeanSquares[o]==null&&(this.accumulatedMeanSquares[o]={originalName:`${s}/rms`,variable:X(()=>vt(r).variable(i))}),this.accumulatedMoments[o]==null&&(this.accumulatedMoments[o]={originalName:`${s}/momentum`,variable:X(()=>vt(r).variable(i))}),this.accumulatedMeanGrads[o]==null&&this.centered&&(this.accumulatedMeanGrads[o]={originalName:`${s}/mg`,variable:X(()=>vt(r).variable(i))});const a=Array.isArray(t)?t[o].tensor:t[s];if(a==null)return;const c=this.accumulatedMeanSquares[o].variable,l=this.accumulatedMoments[o].variable;X(()=>{const u=Q(L(c,this.decay),L(Ht(a),1-this.decay));if(this.centered){const d=this.accumulatedMeanGrads[o].variable,h=Q(L(d,this.decay),L(a,1-this.decay)),p=dt(L(a,this.learningRate),Re(pt(u,Q(Ht(h),this.epsilon)))),f=Q(L(l,this.momentum),p);c.assign(u),d.assign(h),l.assign(f);const m=pt(r,f);r.assign(m)}else{const d=Q(L(c,this.decay),L(Ht(a),1-this.decay)),h=Q(L(l,this.momentum),dt(L(a,this.learningRate),Re(Q(d,this.epsilon))));c.assign(d),l.assign(h);const p=pt(r,h);r.assign(p)}})}),this.incrementIterations()}dispose(){this.accumulatedMeanSquares!=null&&St(this.accumulatedMeanSquares.map(t=>t.variable)),this.accumulatedMeanGrads!=null&&this.centered&&St(this.accumulatedMeanGrads.map(t=>t.variable)),this.accumulatedMoments!=null&&St(this.accumulatedMoments.map(t=>t.variable))}async getWeights(){const t=[...this.accumulatedMeanSquares,...this.accumulatedMoments];return this.centered&&t.push(...this.accumulatedMeanGrads),[await this.saveIterations()].concat(t.map(e=>({name:e.originalName,tensor:e.variable})))}async setWeights(t){t=await this.extractIterations(t);const e=this.centered?t.length/3:t.length/2,s=!1;this.accumulatedMeanSquares=t.slice(0,e).map(o=>({originalName:o.name,variable:o.tensor.variable(s)})),this.accumulatedMoments=t.slice(e,e*2).map(o=>({originalName:o.name,variable:o.tensor.variable(s)})),this.centered&&(this.accumulatedMeanGrads=t.slice(e*2,e*3).map(o=>({originalName:o.name,variable:o.tensor.variable(s)})))}getConfig(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}}static fromConfig(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)}}/** * @license * Copyright 2022 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const yT=[dg,hg,pg,fg,mg,gg,qd];function CT(){for(const n of yT)U(n)}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const IT="model",wT=".json",ST=".weights.bin";function bg(n){return new Promise(t=>setTimeout(t)).then(n)}class ho{constructor(t){if(!V().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(ho.URL_SCHEME)&&(t=t.slice(ho.URL_SCHEME.length)),(t==null||t.length===0)&&(t=IT),this.modelJsonFileName=t+wT,this.weightDataFileName=t+ST}async save(t){if(typeof document>"u")throw new Error("Browser downloads are not supported in this environment since `document` is not present");const e=ys.join(t.weightData),s=window.URL.createObjectURL(new Blob([e],{type:"application/octet-stream"}));if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");{const o=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],r=Cm(t,o),i=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:"application/json"})),a=this.modelJsonAnchor==null?document.createElement("a"):this.modelJsonAnchor;if(a.download=this.modelJsonFileName,a.href=i,await bg(()=>a.dispatchEvent(new MouseEvent("click"))),t.weightData!=null){const c=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor;c.download=this.weightDataFileName,c.href=s,await bg(()=>c.dispatchEvent(new MouseEvent("click")))}return{modelArtifactsInfo:Rc(t)}}}}ho.URL_SCHEME="downloads://";const vT=n=>V().getBool("IS_BROWSER")&&!Array.isArray(n)&&n.startsWith(ho.URL_SCHEME)?kT(n.slice(ho.URL_SCHEME.length)):null;me.registerSaveRouter(vT);function kT(n="model"){return new ho(n)}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function xg(n,t,e,s){i(n),e=e??0,s=s??1,a(e,s);let o=0;const r=c=>(c.then(l=>{const u=e+ ++o/n.length*(s-e);return t(u),l}),c);function i(c){S(c!=null&&Array.isArray(c)&&c.length>0,()=>"promises must be a none empty array")}function a(c,l){S(c>=0&&c<=1,()=>`Progress fraction must be in range [0, 1], but got startFraction ${c}`),S(l>=0&&l<=1,()=>`Progress fraction must be in range [0, 1], but got endFraction ${l}`),S(l>=c,()=>`startFraction must be no more than endFraction, but got startFraction ${c} and endFraction ${l}`)}return Promise.all(n.map(r))}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */async function TT(n,t){t==null&&(t={});const e=t.fetchFunc==null?V().platform.fetch:t.fetchFunc,s=n.map(d=>e(d,t.requestInit,{isBinary:!0})),a=(t.onProgress==null?await Promise.all(s):await xg(s,t.onProgress,0,.5)).map(d=>d.arrayBuffer());return t.onProgress==null?await Promise.all(a):await xg(a,t.onProgress,.5,1)}function NT(n,t){var e;const s=t.fetchFunc==null?V().platform.fetch:t.fetchFunc;let o=0,r;return(e=t.onProgress)===null||e===void 0||e.call(t,0),new ReadableStream({pull:async i=>{for(var a;o"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=e.fetchFunc):this.fetch=V().platform.fetch,S(t!=null&&t.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(t)&&S(t.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${t.length}).`),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{},this.loadOptions=e}async save(t){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");const e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);e.body=new FormData;const s=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],o=Cm(t,s);if(e.body.append("model.json",new Blob([JSON.stringify(o)],{type:GT}),"model.json"),t.weightData!=null){const i=ys.join(t.weightData);e.body.append("model.weights.bin",new Blob([i],{type:RT}),"model.weights.bin")}const r=await this.fetch(this.path,e);if(r.ok)return{modelArtifactsInfo:Rc(t),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async loadModelJSON(){const t=await this.fetch(this.path,this.requestInit);if(!t.ok)throw new Error(`Request to ${this.path} failed with status code ${t.status}. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */let po;function WT(n,t=3){if(t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(n==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");let e=!1,s=!1,o=!1,r=!1,i=!1,a=!1;if(n.data instanceof Uint8Array)e=!0;else if(typeof ImageData<"u"&&n instanceof ImageData)s=!0;else if(typeof HTMLVideoElement<"u"&&n instanceof HTMLVideoElement)o=!0;else if(typeof HTMLImageElement<"u"&&n instanceof HTMLImageElement)r=!0;else if(n.getContext!=null)i=!0;else if(typeof ImageBitmap<"u"&&n instanceof ImageBitmap)a=!0;else throw new Error(`pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was ${n.constructor.name}`);if(Yu(Bu,$.backendName)!=null){const f={pixels:n},m={numChannels:t};return $.runKernel(Bu,f,m)}const[l,u]=o?[n.videoWidth,n.videoHeight]:[n.width,n.height];let d;if(i)d=n.getContext("2d").getImageData(0,0,l,u).data;else if(s||e)d=n.data;else if(r||o||a){if(po==null)if(typeof document>"u")if(typeof OffscreenCanvas<"u"&&typeof OffscreenCanvasRenderingContext2D<"u")po=new OffscreenCanvas(1,1).getContext("2d");else throw new Error("Cannot parse input in current context. Reason: OffscreenCanvas Context2D rendering is not supported.");else po=document.createElement("canvas").getContext("2d",{willReadFrequently:!0});po.canvas.width=l,po.canvas.height=u,po.drawImage(n,0,0,l,u),d=po.getImageData(0,0,l,u).data}let h;if(t===4)h=new Int32Array(d);else{const f=l*u;h=new Int32Array(f*t);for(let m=0;me)throw new Error(`index innermost dimension length must be <= tensor rank; saw: ${t.shape[s-1]} vs. ${e}`);if(A(n.shape)===0)throw new Error(`Requested more than 0 entries, but input is empty. Input shape: ${n.shape}.`);const o=t.shape,r=o[o.length-1];let i=1;for(let d=0;dd/l),1].slice(0,r);return[c,i,l,u]}/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const nh=-2,MT=-1;function Ig(n,t,e){const s=n.shape.length;S(s===t.length,()=>`Error in slice${s}D: Length of begin ${t} must match the rank of the array (${s}).`),S(s===e.length,()=>`Error in slice${s}D: Length of size ${e} must match the rank of the array (${s}).`);for(let o=0;o`Error in slice${s}D: begin[${o}] + size[${o}] (${t[o]+e[o]}) would overflow input.shape[${o}] (${n.shape[o]})`)}function wg(n,t,e){const s=[];for(let o=0;o1){s=o;break}for(let o=s+1;o0||e[o]!==n[o])return!1;return!0}function vg(n,t){let e=n.length>0?n[n.length-1]:1;for(let s=0;s{S(i!==-1,()=>"slice() does not support negative begin indexing.")});let r;return e==null?r=new Array(o).fill(-1):typeof e=="number"?r=[e,...new Array(o-1).fill(-1)]:e.lengthi>=0?i:(S(i===-1,()=>`Negative size values should be exactly -1 but got ${i} for the slice() size at index ${a}.`),n.shape[a]-s[a])),[s,r]}function kg(n,t,e,s,o,r,i,a,c){let l;if(s==null?(l=new Array(t.length),l.fill(1)):l=s,i!=null&&i&i-1)throw new Error("Multiple ellipses in slice is not allowed.");let u=!1;const d={dims:l.length,numAddAxisAfterEllipsis:0,begin:t.slice(),end:e.slice(),strides:l.slice(),beginMask:o,endMask:r,ellipsisMask:i,newAxisMask:a,shrinkAxisMask:c};for(let C=0;C0?0:-1,h.strides[C]>0?I:I-1];if(y&&h.strides[C]<=0)throw Error("only stride 1 allowed on non-range indexing.");m=m&&h.strides[C]===1;const v=!!(h.beginMask&1<=I)throw Error(`slice index ${h.begin[C]} of dimension ${C} out of bounds.`)}else h.begin[C]=Tg(h.begin[C],0,h.strides[C],I,w,k),h.end[C]=Tg(h.end[C],1,h.strides[C],I,w,k);const W=h.strides[C]===1&&h.begin[C]===0&&h.end[C]===I;p=p&&W,f=f&&(C===0&&h.strides[C]===1||W)}else p=p&&h.strides[C]===1&&v,f=f&&(C===0&&h.strides[C]===1||v);let T,R=!1;if(h.beginValid&&h.endValid?(T=h.end[C]-h.begin[C],R=!0):y?(T=1,R=!0):v&&I>=0&&(h.strides[C]<0?T=-I:T=I,R=!0),R){let W;T===0||T<0!=h.strides[C]<0?W=0:W=Math.trunc(T/h.strides[C])+(T%h.strides[C]!==0?1:0),g.push(W)}else g.push(-1)}for(let C=0;C=0?b.push(g[y]):y===nh&&b.push(1)}return{finalShapeSparse:b.filter((C,y)=>h.finalShapeGatherIndices[y]!==nh),finalShape:b,isIdentity:p,sliceDim0:f,isSimpleSlice:m,begin:h.begin,end:h.end,strides:h.strides}}function zT(n,t){t.beginMask=0,t.endMask=0,t.shrinkAxisMask=0;let e=0;t.beginValid=n.begin!=null,t.endValid=n.end!=null,t.begin=new Array(t.dims),t.end=new Array(t.dims),t.strides=new Array(t.dims),t.finalShapeGatherIndices=[],t.finalShapeGatherIndicesSparse=[],t.inputShapeGatherIndicesSparse=new Array(t.dims);for(let s=0;s0?r[t]:r[t+1&1];{const i=n<0?s+n:n;return ir[1]?r[1]:i}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class VT{static sgd(t){return new qd(t)}static momentum(t,e,s=!1){return new mg(t,e,s)}static rmsprop(t,e=.9,s=0,o=null,r=!1){return new gg(t,e,s,o,r)}static adam(t=.001,e=.9,s=.999,o=null){return new pg(t,e,s,o)}static adadelta(t=.001,e=.95,s=null){return new dg(t,e,s)}static adamax(t=.002,e=.9,s=.999,o=null,r=0){return new fg(t,e,s,o,r)}static adagrad(t,e=.1){return new hg(t,e)}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const tr=VT;/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ET=typeof requestAnimationFrame<"u"?requestAnimationFrame:typeof setImmediate<"u"?setImmediate:n=>n();function Fc(){return new Promise(n=>ET(()=>n()))}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function oh(n,t){const e=n[0].length;n.forEach((o,r)=>{S(o.length===e,()=>`Error in concat${e}D: rank of tensors[${r}] must be the same as the rank of the rest (${e})`)}),S(t>=0&&t`Error in concat${e}D: axis must be between 0 and ${e-1}.`);const s=n[0];n.forEach((o,r)=>{for(let i=0;i`Error in concat${e}D: Shape of tensors[${r}] (${o}) does not match the shape of the rest (${s}) along the non-concatenated axis ${r}.`)})}function On(n,t){const e=n[0].slice();for(let s=1;s=0)if(a>=0){if(a!==r)throw new Error(`rt input.shape and shape=${t} are incompatible: rt input.shape[${o+n}] = ${r} but shape[${o+n}] = ${a}`)}else s[i]=r}return s}function Rg(n){const t={FIRST_DIM_SIZE:Rn.FIRST_DIM_SIZE,VALUE_ROWIDS:Rn.VALUE_ROWIDS,ROW_LENGTHS:Rn.ROW_LENGTHS,ROW_SPLITS:Rn.ROW_SPLITS,ROW_LIMITS:Rn.ROW_LIMITS,ROW_STARTS:Rn.ROW_STARTS},e=[];for(const s of n)if(s in t)e.push(t[s]);else break;return e}function Gg(n){return n.length===0?0:n[0]===Rn.FIRST_DIM_SIZE?n.length-1:n.length}function Lg(n,t){if(n==null||t==null)return;const e=n.length,s=t.length;if(e>=s)throw new Error(`defaultValue.shape=${n} and ragged tensor flatValues.shape=${t}, are incompatible: defaultValue.rank = ${e} must be less than ragged tensor input flatValues.rank = ${s})`);for(let o=0;o=0&&i>=0&&r!==1&&r!==i)throw new Error(`defaultValue.shape=${n}, and ragged tensor input flatValues.shape=${t} are incompatible: defaultValue.shape[${o-n.length}] = ${r} but ragged tensor input.flatValues.shape[${o-n.length}] = ${i}`)}}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const rh=30;function Dc(n){return n<=rh?n:ql(n,Math.floor(Math.sqrt(n)))}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ih(n,t,e){const s=e*(typeof n=="number"?n:n[0]),o=t*(typeof n=="number"?n:n[1]);return[s,o]}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Vi(n,t,e,s=!0){let o=[];if(s)o=o.concat(t.slice(0)),o.push(n[0]/e),o=o.concat(n.slice(1));else{o=o.concat(n[0]);const r=t.length;for(let i=0;i=t*2+1||i%2===1?r.push(i):o.push(i);s.push(...o),s.push(0),s.push(...r)}return s}function Ki(n,t,e,s=!0){const o=[];s?o.push(n[0]/e):o.push(n[0]*e);for(let r=1;r/g,Eg=",",Kg="...";function bh(n,t){n=n.replace(/\s/g,"");const e=(n.length-n.replace(KT,"").length)/gh.length;if(e<1)throw new Error("Equations without an arrow are not supported.");if(e>1)throw new Error(`Equation must contain exactly one arrow ("${gh}").`);const[s,o]=n.split(gh);S(s.indexOf(Kg)===-1,()=>`The ellipsis notation ("${Kg}") is not supported yet.`);const r=s.split(Eg),i=r.length;if(t!==i)throw new Error(`Expected ${i} input tensors, received ${t}`);if(i>2)throw new Error("Support for more than 2 input tensors is not implemented yet.");const a=[];for(let h=0;hf.indexOf(p)!==-1))throw new Error(`Output subscripts contain the label ${p} not present in the input subscripts.`);a.indexOf(p)===-1&&a.push(p)}for(let h=0;ho!==-1),{permutationIndices:e,expandDims:s}}function yh(n,t,e){const s=new Array(n);for(let o=0;o`Expected dimension ${s[t[o][i]]} at axis ${i} of input shaped ${JSON.stringify(r)}, but got dimension ${r[i]}`)}}function Ch(n,t){const e=n,s=[];let o=0;n.length===0&&e.push(-1),o=n.length+1;for(let i=0;it===e)}function ZT(n,t){const e=[];for(let s=0;s"Number of splits must evenly divide the axis."),s=new Array(t).fill(n.shape[e]/t);else{const o=t.reduce((i,a)=>(a===-1&&(i+=1),i),0);S(o<=1,()=>"There should be only one negative value in split array.");const r=t.indexOf(-1);if(r!==-1){const i=t.reduce((a,c)=>c>0?a+c:a);t[r]=n.shape[e]-i}S(n.shape[e]===t.reduce((i,a)=>i+a),()=>"The sum of sizes must match the size of the axis dimension."),s=t}return s}/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Zg(n){return`Received SparseTensor with denseShape[0] = 0 but indices.shape[0] = ${n}`}function Fg(n,t){return`indices(${n}, 0) is invalid: ${t} < 0`}function Dg(n,t,e){return`indices(${n}, 0) is invalid: ${t} >= ${e}`}/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Pg(n,t){return`only one output dimension may be -1, not both ${n} and ${t}`}function Og(n,t){return`size ${n} must be non-negative, not ${t}`}function Ag(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function Hg(n,t){const e=A(n),s=A(t);return`Input to reshape is a SparseTensor with ${e} dense values, but the requested shape requires a multiple of ${s}. inputShape=${n} outputShape= ${t}`}function Bg(n,t){const e=A(n),s=A(t);return`Input to reshape is a tensor with ${e} dense values, but the requested shape has ${s}. inputShape=${n} outputShape=${t}`}/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Sh(){return"segment ids must be >= 0"}function Ug(){return"segment ids are not increasing"}function _g(n,t){return`Segment id ${n} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function Yg(n,t,e){return`Bad: indices[${n}] == ${t} out of range [0, ${e})`}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function FT(n,t){let e=!1,s;for(n<=rh?(s=n,e=!0):s=ql(n,Math.floor(Math.sqrt(n)));!e;)s>t||s===n?e=!0:s=ql(n,s+1);return s}function DT(n,t,e){const s=[],o=n.length;for(let r=0;ro))throw new Error(`Expect batchDims in the range of [-${o}, ${o}], but got ${s}`);if(s<0&&(s+=o),s>r)throw new Error(`batchDims (${s}) must be less than rank(x) ( ${r}).`);if(exs(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function Jg(n){return n.map(t=>bs(t))}const PT=Object.freeze(Object.defineProperty({__proto__:null,ERF_A1:uh,ERF_A2:dh,ERF_A3:hh,ERF_A4:ph,ERF_A5:fh,ERF_P:lh,PARALLELIZE_THRESHOLD:rh,get RowPartitionType(){return Rn},SELU_SCALE:Oc,SELU_SCALEALPHA:Pc,applyActivation:Ud,assertAndGetBroadcastShape:gt,assertAxesAreInnerMostDims:Ie,assertParamsConsistent:oh,assignToTypedArray:Mg,axesAreInnerMostDims:wd,calculateShapes:lo,checkEinsumDimSizes:yh,checkPadOnDimRoundingMode:Ze,combineLocations:Km,combineRaggedTensorToTensorShapes:Ng,complexWithEvenIndex:Wg,complexWithOddIndex:Xg,computeConv2DInfo:Ce,computeConv3DInfo:ws,computeDefaultPad:fd,computeDilation2DInfo:ki,computeOptimalWindowSize:Dc,computeOutAndReduceShapes:ge,computeOutShape:On,computePool2DInfo:pn,computePool3DInfo:ss,convertConv2DDataFormat:os,decodeEinsumEquation:bh,eitherStridesOrDilationsAreOne:Ne,expandShapeToKeepDim:re,exponent:Vg,exponents:zg,fromStringArrayToUint8:Jg,fromUint8ToStringArray:cs,getAxesPermutation:Yt,getBroadcastDims:Yo,getComplexWithIndex:mh,getEinsumComputePath:Ch,getEinsumPermutation:xh,getFusedBiasGradient:Bd,getFusedDyActivation:Hd,getImageCenter:ih,getInnerMostAxes:ee,getPermuted:Ei,getRaggedRank:Gg,getReductionAxes:ce,getReshaped:Vi,getReshapedPermuted:Ki,getRowPartitionTypesHelper:Rg,getSliceBeginCoords:ah,getSliceSize:ch,getSparseFillEmptyRowsIndicesDenseShapeMismatch:Zg,getSparseFillEmptyRowsNegativeIndexErrorMessage:Fg,getSparseFillEmptyRowsOutOfRangeIndexErrorMessage:Dg,getSparseReshapeEmptyTensorZeroOutputDimErrorMessage:Ag,getSparseReshapeInputOutputMismatchErrorMessage:Bg,getSparseReshapeInputOutputMultipleErrorMessage:Hg,getSparseReshapeMultipleNegativeOneOutputDimErrorMessage:Pg,getSparseReshapeNegativeOutputDimErrorMessage:Og,getSparseSegmentReductionIndicesOutOfRangeErrorMessage:Yg,getSparseSegmentReductionNegativeSegmentIdsErrorMessage:Sh,getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage:Ug,getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage:_g,getUndoAxesPermutation:Ss,isIdentityPermutation:Ih,mergeRealAndImagArrays:as,prepareAndValidate:eh,prepareSplitSize:wh,shouldFuse:_d,splitRealAndImagArrays:$g,stridesOrDilationsArePositive:no,tupleValuesAreOne:eo,upcastType:Ue,validateDefaultValueShape:Lg,warn:je},Symbol.toStringTag,{value:"Module"}));/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */CT();/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const jg={kernelName:Ca,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(n,zi(st(e,"float32"),-1))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const OT={kernelName:vr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>{const s=Ht(st(e,"float32")),o=Re(pt(Lt(1),s));return ne(dt(n,o))}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const AT={kernelName:kr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>{const s=Re(pt(Ht(st(e,"float32")),1));return dt(n,s)}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const HT={kernelName:Zo,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t,o=gt(e.shape,s.shape);return{a:()=>{let a=n;const c=ce(e.shape,o);return c.length>0&&(a=ut(a,c)),z(a,e.shape)},b:()=>{let a=n;const c=ce(s.shape,o);return c.length>0&&(a=ut(a,c)),z(a,s.shape)}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const BT={kernelName:ou,saveAllInputs:!0,gradFunc:(n,t)=>{const e={};return t.forEach((s,o)=>{e[o]=()=>n.clone()}),e}};/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const UT={kernelName:Ia,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>vt(e)}}};/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const _T={kernelName:wa,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>vt(e)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const YT={kernelName:Tr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>dt(n,Re(pt(Lt(1),Ht(st(e,"float32")))))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const QT={kernelName:Nr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>{const s=Re(Q(Lt(1),Ht(st(e,"float32"))));return dt(n,s)}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const JT={kernelName:Lr,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t,o=gt(e.shape,s.shape);return{a:()=>{const a=Q(Ht(e),Ht(s));let c=L(n,dt(s,a));const l=ce(e.shape,o);return l.length>0&&(c=ut(c,l)),z(c,e.shape)},b:()=>{const a=Q(Ht(e),Ht(s));let c=ne(L(n,dt(e,a)));const l=ce(s.shape,o);return l.length>0&&(c=ut(c,l)),z(c,s.shape)}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const jT={kernelName:Rr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>dt(n,Q(Ht(st(e,"float32")),1))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const qT={kernelName:Gr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>dt(n,pt(Lt(1),Ht(st(e,"float32"))))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function tN(n,t,e,s,o,r){const i=N(n,"dy","avgPool3dGrad"),a=N(t,"input","avgPool3dGrad");let c=i,l=a,u=!1;a.rank===4&&(u=!0,c=z(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),l=z(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),S(c.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${c.rank}.`),S(l.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${l.rank}.`),Ze("avgPool3dGrad",o,r);const d={dy:c,input:l},h={filterSize:e,strides:s,pad:o,dimRoundingMode:r},p=$.runKernel(cu,d,h);return u?z(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}const eN=M({avgPool3dGrad_:tN});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const nN={kernelName:va,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,{filterSize:o,strides:r,pad:i,dimRoundingMode:a}=e;return{x:()=>eN(n,s,o,r,i,a)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function sN(n,t,e,s,o){const r=N(n,"dy","avgPoolGrad"),i=N(t,"input","avgPoolGrad");S(i.rank===r.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${r.rank})`);let a=i,c=r,l=!1;i.rank===3&&(l=!0,a=z(i,[1,i.shape[0],i.shape[1],i.shape[2]]),c=z(r,[1,r.shape[0],r.shape[1],r.shape[2]])),S(c.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${c.rank}.`),S(a.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${a.rank}.`);const u={dy:c,input:a},d={filterSize:e,strides:s,pad:o},h=$.runKernel(au,u,d);return l?z(h,[h.shape[1],h.shape[2],h.shape[3]]):h}const oN=M({avgPoolGrad_:sN});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const rN={kernelName:Sa,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,{filterSize:o,strides:r,pad:i}=e;return{x:()=>oN(n,s,o,r,i)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const iN={kernelName:ka,inputsToSave:["a","b"],gradFunc:(n,t,e)=>{const[s,o]=t,{transposeA:r,transposeB:i}=e;return!r&&!i?{a:()=>Gt(n,o,!1,!0),b:()=>Gt(s,n,!0,!1)}:!r&&i?{a:()=>Gt(n,o,!1,!1),b:()=>Gt(n,s,!0,!1)}:r&&!i?{a:()=>Gt(o,n,!1,!0),b:()=>Gt(s,n,!1,!1)}:{a:()=>Gt(o,n,!0,!0),b:()=>Gt(n,s,!0,!0)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const aN={kernelName:Ta,gradFunc:(n,t,e)=>{const{blockShape:s,crops:o}=e;return{x:()=>Ld(n,s,o)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const cN={kernelName:hI,gradFunc:(n,t,e)=>{const s=e,o=s.inputShape,r=s.shape,i=Array.from(r);for(let c=o.length-1;c>=0;c--)if(o[c]===r[c])i[c]=1;else if(o[c]!==1)throw new Error(`broadcastTo(): [${o}] cannot be broadcast to [${r}].`);const a=[];for(let c=0;c1&&a.push(c);return{x:()=>ut(n,a,!0)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const lN={kernelName:$r,gradFunc:n=>({x:()=>n.clone()})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const uN={kernelName:Wr,gradFunc:n=>({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const dN={kernelName:Xr,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,{clipValueMin:o,clipValueMax:r}=e;return{x:()=>Xe(rs(ro(s,o),Qo(s,r)),n,vt(n))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const hN={kernelName:Na,inputsToSave:["x"],gradFunc:jg.gradFunc};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const pN={kernelName:Ra,saveAllInputs:!0,gradFunc:(n,t,e)=>{const s=t.map(c=>c.shape),{axis:o}=e,r=Ct(o,t[0].shape)[0],i=s.map(c=>c[r]);return on(n,i,r).map(c=>()=>c)}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const fN={kernelName:Ga,inputsToSave:["x","filter"],gradFunc:(n,t,e)=>{const[s,o]=t,{dilations:r,strides:i,pad:a,dataFormat:c}=e;return S(eo(r),()=>`Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${r}'`),{x:()=>xd(s.shape,n,o,i,a,c),filter:()=>Ad(s,n,o.shape,i,a,c)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const mN={kernelName:La,inputsToSave:["dy","filter"],gradFunc:(n,t,e)=>{const[s,o]=t,{strides:r,pad:i,dataFormat:a,dimRoundingMode:c}=e;return{dy:()=>so(n,o,r,i,a,1,c),filter:()=>Ad(n,s,o.shape,r,i,a,c)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function gN(n,t,e,s,o){let r=n;n.rank===4&&(r=z(n,[1,n.shape[0],n.shape[1],n.shape[2],n.shape[3]]));let i=t;i.rank===4&&(i=z(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),S(r.rank===5,()=>`Error in conv3dDerFilter: input must be rank 5, but got shape ${r.shape}.`),S(i.rank===5,()=>`Error in conv3dDerFilter: dy must be rank 5, but got shape ${i.shape}.`),S(e.length===5,()=>`Error in conv3dDerFilter: filterShape must be length 5, but got ${e}.`),S(r.shape[4]===e[3],()=>`Error in conv3dDerFilter: depth of input ${r.shape[4]}) must match input depth in filter (${e[3]}.`),S(i.shape[4]===e[4],()=>`Error in conv3dDerFilter: depth of dy (${i.shape[4]}) must match output depth for filter (${e[4]}).`);const a={x:r,dy:i},c={strides:s,pad:o,filterShape:e};return $.runKernel(pu,a,c)}const bN=M({conv3DBackpropFilter_:gN});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const xN={kernelName:$a,inputsToSave:["x","filter"],gradFunc:(n,t,e)=>{const{dilations:s,strides:o,pad:r}=e;S(eo(s),()=>`Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '${s}'`);const[i,a]=t;return{x:()=>Xm(i.shape,n,a,o,r),filter:()=>bN(i,n,a.shape,o,r)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const yN={kernelName:Mr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(ne(qm(st(e,"float32"))),n)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const CN={kernelName:zr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(tg(st(e,"float32")),n)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const IN={kernelName:Wa,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,{axis:o,exclusive:r,reverse:i}=e;return{x:()=>{const a=Yt([o],s.rank);let c=zm(n,o,r,!i);return a!=null&&(c=kt(c,a)),c}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const wN={kernelName:Xa,inputsToSave:["x","filter"],gradFunc:(n,t,e)=>{const{dilations:s,strides:o,pad:r,dimRoundingMode:i}=e,a=s??[1,1];S(eo(a),()=>`Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations '${a}'`);const[c,l]=t;return S(c.rank===4,()=>`Error in gradient of depthwiseConv2dNative: input must be rank 4, but got rank ${c.rank}.`),S(l.rank===4,()=>`Error in gradient of depthwiseConv2dNative: filter must be rank 4, but got rank ${l.rank}.`),S(c.shape[3]===l.shape[2],()=>`Error in gradient of depthwiseConv2d: number of input channels (${c.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),S(Ne(o,a),()=>`Error in gradient of depthwiseConv2d: Either strides or dilations must be 1. Got strides ${o} and dilations '${a}'.`),Ze("depthwiseConv2d",r,i),{x:()=>Nk(c.shape,n,l,o,r,a,i),filter:()=>kk(c,n,l.shape,o,r,a,i)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const SN={kernelName:Ma,inputsToSave:["x","filter"],gradFunc:(n,t,e)=>{const[s,o]=t,r={x:s,filter:o,dy:n},i={x:s,filter:o,dy:n};return{x:()=>$.runKernel(Iu,r,e),filter:()=>$.runKernel(wu,i,e)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const vN={kernelName:Er,outputsToSave:[!0],gradFunc:(n,t)=>{const[e]=t,s={dy:n,y:e};return{x:()=>$.runKernel(vu,s)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const kN={kernelName:Kr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t,s=L(Fn(ne(Ht(e))),2/Math.sqrt(Math.PI));return{x:()=>L(n,s)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const TN={kernelName:Zr,outputsToSave:[!0],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(n,e)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const NN={kernelName:Va,inputsToSave:["input"],gradFunc:(n,t)=>{const[e]=t;return{input:()=>z(n,e.shape)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const RN={kernelName:Fr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(n,Fn(e))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const GN={kernelName:Dr,gradFunc:n=>({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const LN={kernelName:Pr,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t,o=gt(e.shape,s.shape);return{a:()=>{const a=dt(n,st(s,"float32")),c=ce(e.shape,o);return c.length>0?z(ut(a,c),e.shape):a},b:()=>{let a=L(n,st(e,"float32"));const c=ce(s.shape,o);c.length>0&&(a=z(ut(a,c),s.shape));const l=Ht(s);return ne(dt(a,st(l,"float32")))}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const $N={kernelName:Ea,inputsToSave:["x","mean","variance","scale"],gradFunc:(n,t,e)=>{const{varianceEpsilon:s}=e,[o,r,i,a]=t,c=a??Lt(1),l=ce(r.shape,o.shape),u=[];if(r.rank===1){for(let y=0;yr.rank===1?z(L(L(n,Nn(z(p,[1,1,1,r.shape[0]]),u)),c),o.shape):z(L(L(n,p),c),o.shape),mean:()=>{let y=L(L(p,Lt(-1)),h);return r.rank===1&&(y=ut(y,l)),z(y,r.shape)},variance:()=>{let y=L(L(f,d),h);return r.rank===1&&(y=ut(y,l)),z(y,r.shape)},scale:()=>{const y=L(d,p);let I=L(n,y);return r.rank===1&&(I=ut(I,l)),z(I,r.shape)},offset:()=>{let y=n;return r.rank===1&&(y=ut(y,l)),z(y,r.shape)}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const WN={kernelName:Ka,inputsToSave:["x","indices"],gradFunc:(n,t,e)=>{const[s,o]=t,{axis:r,batchDims:i}=e,a=Ct(r,s.shape)[0],c=(l,u,d)=>()=>{const h=l.shape,p=u.size,f=h.slice(0,a),m=f.length,g=h.slice(r,h.length).slice(1),b=g.length,x=qg(0,m),C=qg(m+1,m+1+b),y=t0([f,[p],g]),I=z(d,y),w=z(u,[p]),k=t0([[m],x,C]),v=kt(I,k);let T=og(v,w,l.shape[a]);const R=Ss(k);return T=kt(T,R),T};if(i===1){const l=s.shape[0],u=s.split(l,0);return{x:()=>Pn(u.map((p,f)=>c(p,o.slice(f,1),n.slice(f,1))())).reshape(s.shape),indices:()=>o}}else return{x:c(s,o,n),indices:()=>o}}};function qg(n,t){const e=[];for(let s=n;s{const[e,s]=t;return{a:()=>vt(e),b:()=>vt(s)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const MN={kernelName:Ar,gradFunc:n=>({x:()=>st(n,"float32")})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const zN={kernelName:Hr,gradFunc:n=>({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const VN={kernelName:Br,gradFunc:n=>({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const EN={kernelName:Ur,gradFunc:n=>({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const KN={kernelName:Fa,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,{alpha:o}=e,r=sn(s,0);return{x:()=>Xe(r,n,L(n,o))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ZN={kernelName:Yr,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>dt(n,Q(e,1))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const FN={kernelName:_r,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>dt(n,st(e,"float32"))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const DN={kernelName:fI,inputsToSave:[],outputsToSave:[!0],gradFunc:(n,t,e)=>{const[s]=t,{axis:o}=e;return{logits:()=>{const i=Fn(s);return pt(n,L(ut(n,o,!0),i))}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function PN(n,t,e,s=5,o=1,r=1,i=.5){const a={x:n,y:t,dy:e},c={depthRadius:s,bias:o,alpha:r,beta:i};return $.runKernel(Lu,a,c)}const ON=M({localResponseNormalizationBackprop_:PN});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const AN={kernelName:Ba,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(n,t,e)=>{const[s,o]=t,{depthRadius:r,bias:i,alpha:a,beta:c}=e;return{x:()=>ON(s,o,n,r,i,a,c)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function e0(n,t,e,s){return t.rankL(n,st(Zn(e,t),n.dtype))}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const n0={kernelName:Ua,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(n,t,e)=>{const s=e,{reductionIndices:o}=s,r=t[0],i=t[1],a=Ct(o,r.shape),c=e0(n,i,r,a);return{x:()=>c.x()}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const HN={kernelName:Qr,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t;return{a:()=>L(n,st(ro(e,s),"float32")),b:()=>L(n,st(Vc(e,s),"float32"))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function BN(n,t,e,s,o,r,i){const a=N(n,"dy","maxPool3dGrad"),c=N(t,"input","maxPool3dGrad"),l=N(e,"output","maxPool3dGrad");let u=a,d=c,h=l,p=!1;c.rank===4&&(p=!0,u=z(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]]),d=z(c,[1,c.shape[0],c.shape[1],c.shape[2],c.shape[3]]),h=z(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),S(u.rank===5,()=>`Error in maxPool3dGrad: dy must be rank 5 but got rank ${u.rank}.`),S(d.rank===5,()=>`Error in maxPool3dGrad: input must be rank 5 but got rank ${d.rank}.`),S(h.rank===5,()=>`Error in maxPool3dGrad: output must be rank 5 but got rank ${h.rank}.`),Ze("maxPool3dGrad",r,i);const f={dy:u,input:d,output:h},m={filterSize:s,strides:o,pad:r,dimRoundingMode:i},g=$.runKernel(Wu,f,m);return p?z(g,[g.shape[1],g.shape[2],g.shape[3],g.shape[4]]):g}const UN=M({maxPool3dGrad_:BN});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const _N={kernelName:Ya,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(n,t,e)=>{const[s,o]=t,{filterSize:r,strides:i,pad:a,dimRoundingMode:c}=e;return{x:()=>UN(n,s,o,r,i,a,c)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function YN(n,t,e,s,o,r,i){const a=N(n,"dy","maxPoolGrad"),c=N(t,"input","maxPoolGrad"),l=N(e,"output","maxPoolGrad");S(c.rank===a.rank,()=>`Rank of input (${c.rank}) does not match rank of dy (${a.rank})`),S(a.rank===4,()=>`Error in maxPoolGrad: dy must be rank 4 but got rank ${a.rank}.`),S(c.rank===4,()=>`Error in maxPoolGrad: input must be rank 4 but got rank ${c.rank}.`),Ze("maxPoolGrad",r,i);const u={dy:a,input:c,output:l},d={filterSize:s,strides:o,pad:r,dimRoundingMode:i};return $.runKernel($u,u,d)}const QN=M({maxPoolGrad_:YN});/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const JN={kernelName:_a,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(n,t,e)=>{const[s,o]=t,{filterSize:r,strides:i,pad:a}=e;return{x:()=>QN(n,s,o,r,i,a)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const jN={kernelName:Qa,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,{axis:o}=e,r=Ct(o,s.shape),a=ge(s.shape,r)[1],c=A(a);return{x:()=>{const u=s.shape.slice();r.forEach(p=>{u[p]=1});const d=z(n,u);return dt(L(d,ks(s.shape,"float32")),c)}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const qN={kernelName:Ja,inputsToSave:["x"],outputsToSave:[!0],gradFunc:(n,t,e)=>{const s=e,{axis:o}=s,[r,i]=t,a=Ct(o,r.shape),c=e0(n,i,r,a);return{x:()=>c.x()}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const tR={kernelName:Jr,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t;return{a:()=>L(n,st(Qo(e,s),"float32")),b:()=>L(n,st(sn(e,s),"float32"))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const eR={kernelName:ja,inputsToSave:["x"],gradFunc:(n,t,e)=>{const s=t[0],{paddings:o}=e,r=o.map(i=>i[0]);return{x:()=>Zt(n,r,s.shape)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const nR={kernelName:jr,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t,o=gt(e.shape,s.shape);return{a:()=>{const a=ce(e.shape,o);return a.length>0?z(ut(n,a),e.shape):n},b:()=>{const a=L(n,ne(zc(dt(e,s)))),c=ce(s.shape,o);return c.length>0?z(ut(a,c),s.shape):a}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const sR={kernelName:qr,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t,o=gt(e.shape,s.shape);return{a:()=>{const a=L(n,st(s,"float32")),c=ce(e.shape,o);return c.length>0?z(ut(a,c),e.shape):a},b:()=>{const a=L(n,st(e,"float32")),c=ce(s.shape,o);return c.length>0?z(ut(a,c),s.shape):a}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const oR={kernelName:qa,gradFunc:n=>({x:()=>ne(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const rR={kernelName:nc,inputsToSave:["indices"],gradFunc:(n,t)=>{const e=t[0];return{indices:()=>be(e.shape,"float32")}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const iR={kernelName:ec,gradFunc:n=>({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const aR={kernelName:sc,saveAllInputs:!0,gradFunc:(n,t,e)=>{const{axis:s}=e;return uo(n,s).map(r=>()=>r)}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const s0={kernelName:oc,inputsToSave:["x"],gradFunc:(n,t,e)=>{const s=t[0],{paddings:o}=e,r=o.map(i=>i[0]);return{x:()=>Zt(n,r,s.shape)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const cR={kernelName:ti,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:(n,t)=>{const[e,s,o]=t,r=e,i=s,a=gt(r.shape,i.shape);return{a:()=>{const u=st(i,"float32");let d=L(n,L(u,oo(r,pt(u,Lt(1)))));const h=ce(r.shape,a);return h.length>0&&(d=ut(d,h)),z(d,r.shape)},b:()=>{const u=sn(r,0),d=Xe(u,Dn(r),vt(r));let h=L(n,L(o,d));const p=ce(i.shape,a);return p.length>0&&(h=ut(h,p)),z(h,i.shape)}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const lR={kernelName:rc,inputsToSave:["x","alpha"],gradFunc:(n,t)=>{const[e,s]=t,o=sn(e,0);return{x:()=>Xe(o,n,L(n,s)),alpha:()=>{let r=Xe(o,vt(n),L(n,e));const i=ce(s.shape,n.shape);return i.length>0&&(r=ut(r,i)),z(r,s.shape)}}}};/** * @license * Copyright 2022 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function uR(n,t,e){const s=n.shape.slice();s[e]=1;const o=z(t,s),r=Cd(n,e,!0,!1),i=Cd(n,e,!0,!0),a=L(r,i);return L(o,a)}function dR(n,t,e){const s=n.shape.length,o=s-e.length,r=Yt(e,s);let i=n;r!=null&&(i=kt(n,r));const a=i.shape.slice(),l=a.splice(s-e.length,e.length).reduce((h,p)=>h*p,1);a.push(l);const u=i.reshape(a);let d=uR(u,t,o);if(d=d.reshape(i.shape),r!=null){const h=Ss(r);d=kt(d,h)}return d}const hR={kernelName:ic,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,{axis:o}=e;let r=[];return o==null?r=s.shape.map((i,a)=>a):typeof o=="number"?r=[o]:r=o,{x:()=>dR(s,n,r)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const pR={kernelName:Vr,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t,o=gt(e.shape,s.shape);return{a:()=>{const a=dt(n,st(s,"float32")),c=ce(e.shape,o);return c.length>0?z(ut(a,c),e.shape):a},b:()=>{let a=L(n,st(e,"float32"));const c=ce(s.shape,o);c.length>0&&(a=z(ut(a,c),s.shape));const l=Ht(s);return ne(dt(a,st(l,"float32")))}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const fR={kernelName:ei,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>dt(n,ne(Ht(e)))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const mR={kernelName:si,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t,s=L(Qo(e,6),zi(e));return{x:()=>L(n,st(s,"float32"))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const gR={kernelName:ni,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(n,st(zi(e),"float32"))}}};/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const bR={kernelName:ac,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>z(n,e.shape)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const xR={kernelName:lc,inputsToSave:["images"],gradFunc:(n,t,e)=>{const[s]=t,o={dy:n,images:s};return{images:()=>$.runKernel(Zu,o,e)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const yR={kernelName:cc,inputsToSave:["images"],gradFunc:(n,t,e)=>{const[s]=t,o={dy:n,images:s};return{images:()=>$.runKernel(Ku,o,e)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const CR={kernelName:uc,gradFunc:(n,t,e)=>{const{dims:s}=e,o=Ct(s,n.shape);return{x:()=>co(n,o)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const IR={kernelName:oi,gradFunc:n=>({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const wR={kernelName:ri,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>ne(dt(n,L(oo(e,1.5),2)))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const SR={kernelName:dc,inputsToSave:["condition"],gradFunc:(n,t)=>{const[e]=t;return{condition:()=>st(vt(e),"float32"),t:()=>L(n,st(e,n.dtype)),e:()=>L(n,st(Td(e),n.dtype))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const vR={kernelName:ii,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>{const s=sn(e,Lt(0)),o=Lt(Pc),r=Lt(Oc),i=L(n,r),a=L(L(n,o),Fn(st(e,"float32")));return Xe(s,i,a)}}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const kR={kernelName:ui,outputsToSave:[!0],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(n,L(e,pt(Lt(1),e)))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const TR={kernelName:li,gradFunc:n=>({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const NR={kernelName:ai,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(yd(st(e,"float32")),n)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const RR={kernelName:ci,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(Mm(st(e,"float32")),n)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const GR={kernelName:hc,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,{begin:o,size:r}=e,i=s.shape,[a,c]=sh(s,o,r),l=[];for(let u=0;uGd(n,l)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const LR={kernelName:gc,outputsToSave:[!0],gradFunc:(n,t,e)=>{const[s]=t,{dim:o}=e,r=!0,i=L(n,s);return{logits:()=>pt(i,L(ut(i,[o],r),s))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const $R={kernelName:di,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(n,_o(e))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const o0={kernelName:fc,gradFunc:(n,t,e)=>{const{blockShape:s,paddings:o}=e;return{x:()=>bd(n,s,o)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const r0={kernelName:mc,gradFunc:(n,t,e)=>{const{axis:s}=e;return{x:()=>Fe(n,s)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const WR={kernelName:hi,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>dt(n,L(Re(st(e,"float32")),2))}}};/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const XR={kernelName:Fu,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(n,L(st(e,"float32"),2))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const MR={kernelName:pi,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t,o=Lt(2);return{a:()=>L(n,L(o,pt(e,s))),b:()=>L(n,L(o,pt(s,e)))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const zR={kernelName:xi,gradFunc:n=>({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const VR={kernelName:fi,inputsToSave:["a","b"],gradFunc:(n,t)=>{const[e,s]=t,o=gt(e.shape,s.shape);return{a:()=>{let a=n;const c=ce(e.shape,o);return c.length>0&&(a=ut(a,c)),z(a,e.shape)},b:()=>{let a=n;const c=ce(s.shape,o);return c.length>0&&(a=ut(a,c)),z(ne(a),s.shape)}}}};/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ER={kernelName:pc,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,o=s.shape.slice(),{axis:r}=e;Ct(r,s.shape).forEach(l=>{o[l]=1});const a=z(n,o),c=L(a,ks(s.shape,"float32"));return{x:()=>c}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const KR={kernelName:mi,inputsToSave:["x"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>dt(n,Ht(yd(e)))}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ZR={kernelName:gi,outputsToSave:[!0],gradFunc:(n,t)=>{const[e]=t;return{x:()=>L(pt(Lt(1),Ht(e)),n)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const FR={kernelName:bi,inputsToSave:["x"],gradFunc:(n,t,e)=>{const[s]=t,{reps:o}=e;return{x:()=>{let i=vt(s);if(s.rank===1)for(let a=0;a{const s=e,{perm:o}=s,r=Ss(o);return{x:()=>kt(n,r)}}};/** * @license * Copyright 2020 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const PR={kernelName:bc,gradFunc:(n,t,e)=>{const s=e,{axis:o}=s;return{value:()=>Pn(n,o)}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const OR={kernelName:xc,inputsToSave:["segmentIds"],gradFunc:(n,t)=>{const[e]=t;return{x:()=>AR(n,e)}}};function AR(n,t){const e=vs(t,vt(t)),s=Sd(n,e);let o=ro(t,Lt(0,"int32"));const r=s.rank-o.rank;for(let a=0;a({x:()=>vt(n)})};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const BR=[jg,OT,AT,HT,BT,UT,_T,YT,QT,JT,jT,qT,nN,rN,iN,aN,cN,lN,uN,dN,hN,pN,mN,fN,xN,yN,CN,IN,wN,SN,pR,vN,kN,TN,NN,RN,LN,GN,$N,WN,XN,MN,zN,VN,EN,KN,ZN,FN,DN,AN,n0,n0,HN,_N,JN,jN,qN,tR,eR,nR,sR,oR,rR,iR,aR,s0,s0,cR,lR,hR,fR,mR,gR,bR,xR,yR,CR,IR,wR,SR,vR,kR,TR,NR,RR,GR,LR,$R,o0,o0,r0,r0,WR,MR,XR,zR,VR,ER,KR,ZR,FR,DR,PR,OR,HR];for(const n of BR)mI(n);/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.abs=function(){return this.throwIfDisposed(),We(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.acos=function(){return this.throwIfDisposed(),y2(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.acosh=function(){return this.throwIfDisposed(),I2(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.add=function(n){return this.throwIfDisposed(),Q(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.all=function(n,t){return this.throwIfDisposed(),Lm(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.any=function(n,t){return this.throwIfDisposed(),pd(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.argMax=function(n){return this.throwIfDisposed(),vi(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.argMin=function(n){return this.throwIfDisposed(),T2(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.asScalar=function(){return this.throwIfDisposed(),S(this.size===1,()=>"The array must have only 1 element."),z(this,[])};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.asType=function(n){return this.throwIfDisposed(),st(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.as1D=function(){return this.throwIfDisposed(),z(this,[this.size])};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.as2D=function(n,t){return this.throwIfDisposed(),z(this,[n,t])};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.as3D=function(n,t,e){return this.throwIfDisposed(),z(this,[n,t,e])};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.as4D=function(n,t,e,s){return this.throwIfDisposed(),z(this,[n,t,e,s])};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.as5D=function(n,t,e,s,o){return this.throwIfDisposed(),z(this,[n,t,e,s,o])};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.asin=function(){return this.throwIfDisposed(),R2(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.asinh=function(){return this.throwIfDisposed(),L2(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.atan=function(){return this.throwIfDisposed(),W2(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.atan2=function(n){return this.throwIfDisposed(),M2(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.atanh=function(){return this.throwIfDisposed(),V2(this)},P().prototype.avgPool=function(n,t,e,s){return this.throwIfDisposed(),gd(this,n,t,e,s)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.batchToSpaceND=function(n,t){return this.throwIfDisposed(),bd(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.batchNorm=function(n,t,e,s,o){return this.throwIfDisposed(),Lc(this,n,t,e,s,o)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.broadcastTo=function(n){return this.throwIfDisposed(),Ri(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.cast=function(n){return this.throwIfDisposed(),st(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.ceil=function(){return this.throwIfDisposed(),lw(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.clipByValue=function(n,t){return this.throwIfDisposed(),nn(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.concat=function(n,t){return this.throwIfDisposed(),n instanceof ae&&(n=[n]),Fe([this,...n],t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.conv1d=function(n,t,e,s,o,r){return this.throwIfDisposed(),$m(this,n,t,e,s,o,r)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.conv2dTranspose=function(n,t,e,s,o){return this.throwIfDisposed(),Wm(this,n,t,e,s,o)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.conv2d=function(n,t,e,s,o,r){return this.throwIfDisposed(),so(this,n,t,e,s,o,r)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.cos=function(){return this.throwIfDisposed(),yd(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.cosh=function(){return this.throwIfDisposed(),Mm(this)};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the 'License'); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an 'AS IS' BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.cumprod=function(n,t,e){return this.throwIfDisposed(),Cd(this,n,t,e)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.cumsum=function(n,t,e){return this.throwIfDisposed(),zm(this,n,t,e)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.depthToSpace=function(n,t){return this.throwIfDisposed(),Mw(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.depthwiseConv2d=function(n,t,e,s,o,r){return this.throwIfDisposed(),Id(this,n,t,e,s,o,r)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.dilation2d=function(n,t,e,s,o){return this.throwIfDisposed(),Ew(this,n,t,e,s,o)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.divNoNan=function(n){return this.throwIfDisposed(),Pw(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.div=function(n){return this.throwIfDisposed(),dt(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.dot=function(n){return this.throwIfDisposed(),Aw(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.elu=function(){return this.throwIfDisposed(),Wc(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.equal=function(n){return this.throwIfDisposed(),Zn(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.erf=function(){return this.throwIfDisposed(),Em(this)};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.euclideanNorm=function(n,t){return this.throwIfDisposed(),nS(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.exp=function(){return this.throwIfDisposed(),Fn(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.expandDims=function(n){return this.throwIfDisposed(),De(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.expm1=function(){return this.throwIfDisposed(),iS(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.fft=function(){return this.throwIfDisposed(),ng(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.flatten=function(){return this.throwIfDisposed(),z(this,[this.size])};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.floor=function(){return this.throwIfDisposed(),zc(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.floorDiv=function(n){return this.throwIfDisposed(),Gm(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.gather=function(n,t,e){return this.throwIfDisposed(),Sd(this,n,t,e)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.greaterEqual=function(n){return this.throwIfDisposed(),ro(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.greater=function(n){return this.throwIfDisposed(),sn(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.ifft=function(){return this.throwIfDisposed(),Pd(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.irfft=function(){return this.throwIfDisposed(),Yv(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.isFinite=function(){return this.throwIfDisposed(),mS(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.isInf=function(){return this.throwIfDisposed(),bS(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.isNaN=function(){return this.throwIfDisposed(),yS(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.leakyRelu=function(n){return this.throwIfDisposed(),kd(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.lessEqual=function(n){return this.throwIfDisposed(),Qo(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.less=function(n){return this.throwIfDisposed(),Vc(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.localResponseNormalization=function(n,t,e,s){return this.throwIfDisposed(),vS(this,n,t,e,s)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.logSigmoid=function(){return this.throwIfDisposed(),$S(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.logSoftmax=function(n){return this.throwIfDisposed(),Pm(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.logSumExp=function(n,t){return this.throwIfDisposed(),Om(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.log=function(){return this.throwIfDisposed(),Dn(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.log1p=function(){return this.throwIfDisposed(),Dm(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.logicalAnd=function(n){return this.throwIfDisposed(),rs(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.logicalNot=function(){return this.throwIfDisposed(),Td(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.logicalOr=function(n){return this.throwIfDisposed(),Am(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.logicalXor=function(n){return this.throwIfDisposed(),ZS(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.matMul=function(n,t,e){return this.throwIfDisposed(),Gt(this,n,t,e)},P().prototype.maxPool=function(n,t,e,s){return this.throwIfDisposed(),Nd(this,n,t,e,s)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.max=function(n,t){return this.throwIfDisposed(),Tn(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.maximum=function(n){return this.throwIfDisposed(),vs(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.mean=function(n,t){return this.throwIfDisposed(),ie(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.min=function(n,t){return this.throwIfDisposed(),Xc(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.minimum=function(n){return this.throwIfDisposed(),$i(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.mirrorPad=function(n,t){return this.throwIfDisposed(),US(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.mod=function(n){return this.throwIfDisposed(),YS(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.mul=function(n){return this.throwIfDisposed(),L(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.neg=function(){return this.throwIfDisposed(),ne(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.norm=function(n,t,e){return this.throwIfDisposed(),Mc(this,n,t,e)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.notEqual=function(n){return this.throwIfDisposed(),Ec(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.oneHot=function(n,t=1,e=0){return this.throwIfDisposed(),Hm(this,n,t,e)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.onesLike=function(){return this.throwIfDisposed(),fn(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.pad=function(n,t){return this.throwIfDisposed(),Gd(this,n,t)},P().prototype.pool=function(n,t,e,s,o,r){return this.throwIfDisposed(),rv(this,n,t,e,s,o,r)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.pow=function(n){return this.throwIfDisposed(),oo(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.prelu=function(n){return this.throwIfDisposed(),$d(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.prod=function(n,t){return this.throwIfDisposed(),cv(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.reciprocal=function(){return this.throwIfDisposed(),Gv(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.relu=function(){return this.throwIfDisposed(),ao(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.relu6=function(){return this.throwIfDisposed(),_m(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.reshapeAs=function(n){return this.throwIfDisposed(),z(this,n.shape)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.reshape=function(n){return this.throwIfDisposed(),z(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.resizeBilinear=function(n,t,e){return this.throwIfDisposed(),cg(this,n,t,e)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.resizeNearestNeighbor=function(n,t,e){return this.throwIfDisposed(),lg(this,n,t,e)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.reverse=function(n){return this.throwIfDisposed(),co(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.rfft=function(){return this.throwIfDisposed(),jv(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.round=function(){return this.throwIfDisposed(),Ym(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.rsqrt=function(){return this.throwIfDisposed(),Qm(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.selu=function(){return this.throwIfDisposed(),Jm(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.separableConv2d=function(n,t,e,s,o,r){return this.throwIfDisposed(),jm(this,n,t,e,s,o,r)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.sigmoid=function(){return this.throwIfDisposed(),_o(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.sign=function(){return this.throwIfDisposed(),Kv(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.sin=function(){return this.throwIfDisposed(),qm(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.sinh=function(){return this.throwIfDisposed(),tg(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.slice=function(n,t){return this.throwIfDisposed(),Zt(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.softmax=function(n){return this.throwIfDisposed(),Dd(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.softplus=function(){return this.throwIfDisposed(),Li(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.spaceToBatchND=function(n,t){return this.throwIfDisposed(),Ld(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.split=function(n,t){return this.throwIfDisposed(),on(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.sqrt=function(){return this.throwIfDisposed(),Re(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.square=function(){return this.throwIfDisposed(),Ht(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.squaredDifference=function(n){return this.throwIfDisposed(),tk(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.squeeze=function(n){return this.throwIfDisposed(),Mi(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.stack=function(n,t){this.throwIfDisposed();const e=n instanceof ae?[this,n]:[this,...n];return Pn(e,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.step=function(n){return this.throwIfDisposed(),zi(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.stridedSlice=function(n,t,e,s,o,r,i,a){return this.throwIfDisposed(),rk(this,n,t,e,s,o,r,i,a)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.sub=function(n){return this.throwIfDisposed(),pt(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.sum=function(n,t){return this.throwIfDisposed(),ut(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.tan=function(){return this.throwIfDisposed(),ak(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.tanh=function(){return this.throwIfDisposed(),Gc(this)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.tile=function(n){return this.throwIfDisposed(),Nn(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.toBool=function(){return this.throwIfDisposed(),st(this,"bool")};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.toFloat=function(){return this.throwIfDisposed(),st(this,"float32")};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.toInt=function(){return this.throwIfDisposed(),st(this,"int32")};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.topk=function(n,t){return this.throwIfDisposed(),uk(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.transpose=function(n){return this.throwIfDisposed(),kt(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.unique=function(n){return this.throwIfDisposed(),pk(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.unsortedSegmentSum=function(n,t){return this.throwIfDisposed(),og(this,n,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.unstack=function(n){return this.throwIfDisposed(),uo(this,n)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.where=function(n,t){return this.throwIfDisposed(),Xe(n,this,t)};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */P().prototype.zerosLike=function(){return this.throwIfDisposed(),vt(this)};/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class An extends Error{constructor(t){super(t),Object.setPrototypeOf(this,An.prototype)}}class gn extends Error{constructor(t){super(t),Object.setPrototypeOf(this,gn.prototype)}}class G extends Error{constructor(t){super(t),Object.setPrototypeOf(this,G.prototype)}}class bt extends Error{constructor(t){super(t),Object.setPrototypeOf(this,bt.prototype)}}class vh extends Error{constructor(t){super(t),Object.setPrototypeOf(this,vh.prototype)}}/** * @license * Copyright 2022 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class i0{constructor(t){this.maxEntries=t||100,this.cache=new Map}get(t){let e;return this.cache.has(t)&&(e=this.cache.get(t),this.cache.delete(t),this.cache.set(t,e)),e}put(t,e){if(this.cache.has(t))this.cache.delete(t);else if(this.cache.size>=this.maxEntries){const s=this.cache.keys().next().value;this.cache.delete(s)}this.cache.set(t,e)}getMaxEntries(){return this.maxEntries}setMaxEntries(t){if(t<0)throw new Error(`The maxEntries of LRU caches must be at least 0, but got ${t}.`);if(this.maxEntries>t)for(let e=0;ee.toUpperCase())}let bn={};function kh(n){if(n==null)return null;const t={};return t.className=n.getClassName(),t.config=n.getConfig(),t}function Th(n){if(!(n==null||typeof n!="object"))if(Array.isArray(n))n.forEach(t=>Th(t));else{const t=Object.keys(n);for(const e of t){const s=n[e];s!=null&&typeof s=="object"&&(!Array.isArray(s)&&s.type==="ndarray"&&typeof s.value=="number"?n[e]=s.value:Th(s))}}}function Zi(n,t={},e={},s="object",o=!1){if(typeof n=="string"){const r=n;let i;if(r in e)i=e[r];else if(r in bn)i=bn[r];else if(i=t[r],i==null)throw new G(`Unknown ${s}: ${n}. 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Ye{constructor(t){super({scale:1,mode:"fanAvg",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return Ye.className}}zh.className="GlorotNormal",U(zh);class Vh extends Ye{constructor(t){super({scale:2,mode:"fanIn",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return Ye.className}}Vh.className="HeNormal",U(Vh);class Eh extends Ye{constructor(t){super({scale:2,mode:"fanIn",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return Ye.className}}Eh.className="HeUniform",U(Eh);class Kh extends Ye{constructor(t){super({scale:1,mode:"fanIn",distribution:"normal",seed:t==null?null:t.seed})}getClassName(){return Ye.className}}Kh.className="LeCunNormal",U(Kh);class Zh extends Ye{constructor(t){super({scale:1,mode:"fanIn",distribution:"uniform",seed:t==null?null:t.seed})}getClassName(){return Ye.className}}Zh.className="LeCunUniform",U(Zh);class k0 extends xn{constructor(t){super(),this.DEFAULT_GAIN=1,this.ELEMENTS_WARN_SLOW=2e3,this.gain=t.gain==null?this.DEFAULT_GAIN:t.gain,this.seed=t.seed}apply(t,e){return X(()=>{if(t.length<2)throw new bt("Shape must be at least 2D.");if(e!=="int32"&&e!=="float32"&&e!==void 0)throw new TypeError(`Unsupported data type ${e}.`);e=e;const s=A(t.slice(0,-1)),o=t[t.length-1],r=s*o;r>this.ELEMENTS_WARN_SLOW&&console.warn(`Orthogonal initializer is being called on a matrix with more than ${this.ELEMENTS_WARN_SLOW} (${r}) elements: Slowness may result.`);const i=[Math.max(o,s),Math.min(o,s)],a=_c(i,0,1,e,this.seed),c=gT.qr(a,!1);let l=c[0];const d=c[1].flatten().stridedSlice([0],[Math.min(o,s)*Math.min(o,s)],[Math.min(o,s)+1]);return l=L(l,d.sign()),ss*o);return t}/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */const R0="Variable";class bG{constructor(t,e="float32",s=R0,o=!0,r=null){this.dtype=e??"float32",this.shape=t.shape,this.id=u0(),s=s??R0,this.originalName=p0(s),this.name=f0(this.originalName),this.trainable_=o,this.constraint=r,this.val=gk(t,this.trainable_,this.name,this.dtype)}read(){return this.assertNotDisposed(),this.val}write(t){return this.assertNotDisposed(),xG(this.val,t),this.val.id!==t.id&&(this.val.assign(t),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this}dispose(){this.assertNotDisposed(),this.val.dispose()}assertNotDisposed(){if(this.val.isDisposed)throw new Error(`LayersVariable ${this.name} is already disposed.`)}get trainable(){return this.trainable_}set trainable(t){this.trainable_=t,this.val.trainable=t}}function xG(n,t){if(n.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(n.shape)+" vs. "+JSON.stringify(t.shape))}function Dh(n){return n.map(t=>t.read())}function Ph(n){n.forEach(t=>{t[0].write(t[1])})}/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class ue{constructor(t){this.dtype=t.dtype,this.shape=t.shape,t.shape!=null?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}}class _n{constructor(t,e,s,o,r,i,a){this.dtype=t,this.shape=e,this.sourceLayer=s,this.inputs=o,this.callArgs=r,this.outputTensorIndex=a,this.id=u0(),i!=null&&(this.originalName=p0(i),this.name=f0(this.originalName)),this.rank=e.length}}let yG=0;class Jc{constructor(t,e){this.callArgs=e,this.id=yG++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(const s of t.inboundLayers)s!=null&&s.outboundNodes.push(this);t.outboundLayer.inboundNodes.push(this)}getConfig(){const t=[];for(const e of this.inboundLayers)e!=null?t.push(e.name):t.push(null);return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}let CG=0;class wt extends qo{constructor(t={}){super(),this._callHook=null,this._addedWeightNames=[],this._stateful=!1,this.id=CG++,this.activityRegularizer=null,this.inputSpec=null,this.supportsMasking=!1,this._trainableWeights=[],this._nonTrainableWeights=[],this._losses=[],this._updates=[],this._built=!1,this.inboundNodes=[],this.outboundNodes=[];let e=t.name;if(!e){const s=this.getClassName();e=ls(s)+"_"+Bc(s)}if(this.name=e,this.trainable_=t.trainable==null?!0:t.trainable,t.inputShape!=null||t.batchInputShape!=null){let s;if(t.batchInputShape!=null)s=t.batchInputShape;else if(t.inputShape!=null){let r=null;t.batchSize!=null&&(r=t.batchSize),s=[r].concat(t.inputShape)}this.batchInputShape=s;let o=t.dtype;o==null&&(o=t.inputDType),o==null&&(o="float32"),this.dtype=o}t.weights!=null?this.initialWeights=t.weights:this.initialWeights=null,this._refCount=null,this.fastWeightInitDuringBuild=!1}static nodeKey(t,e){return t.name+"_ib-"+e.toString()}getNodeAtIndex(t,e){if(this.inboundNodes.length===0)throw new gn(`The layer has never been called and thus has no defined ${e}.`);if(this.inboundNodes.length<=t)throw new G(`Asked to get ${e} at node ${t}, but the layer has only ${this.inboundNodes.length} inbound nodes.`);return this.inboundNodes[t]}getInputAt(t){return Pe(this.getNodeAtIndex(t,"input").inputTensors)}getOutputAt(t){return Pe(this.getNodeAtIndex(t,"output").outputTensors)}get input(){if(this.inboundNodes.length>1)throw new An(`Layer ${this.name} has multiple inbound nodes, hence the notion of "layer input" is ill-defined. 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Please make sure its serialized length is <= ${B0}.`)}}function Uh(n){if(n===null)return!0;if(typeof n=="object")if(Object.getPrototypeOf(n)===Object.prototype){const t=Object.keys(n);for(const e of t)if(typeof e!="string"||!Uh(n[e]))return!1;return!0}else if(Array.isArray(n)){for(const t of n)if(!Uh(t))return!1;return!0}else return!1;else{const t=typeof n;return t==="string"||t==="number"||t==="boolean"}}/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function oL(n,t,e,s=console.log){const o=iL(n),r=["Layer (type)","Input Shape","Output shape","Param #"];o?(t=t||90,e=e||[.32,.61,.89,1]):(t=t||115,e=e||[.24,.48,.7,.8,1]),e[e.length-1]<=1&&(e=e.map(u=>Math.floor(t*u)));let i;if(!o){r.push("Receives inputs"),i=[];for(const u in n.nodesByDepth)i.push(...n.nodesByDepth[u])}s("_".repeat(t)),al(r,e,s),s("=".repeat(t));const a=n.layers;for(let u=0;u1||o.length===1&&o[0].inboundLayers.length>1){t=!1;break}s.push(...o)}if(t)for(const o of n.layers){let r=!1;for(const i of o.inboundNodes)if(s.indexOf(i)!==-1)if(r){t=!1;break}else r=!0;if(!t)break}return t}function al(n,t,e=console.log){let s="";for(let o=0;o0&&(s=s.slice(0,s.length-1)+" "),s+=n[o],s=s.slice(0,t[o]),s+=" ".repeat(t[o]-s.length);e(s)}function aL(n,t,e){let s,o;try{o=n.inboundNodes.map(c=>JSON.stringify(c.inputShapes)).join(",")}catch{o="multiple"}try{s=JSON.stringify(n.outputShape)}catch{s="multiple"}const r=n.name,i=n.getClassName(),a=[`${r} (${i})`,o,s,n.countParams().toString()];al(a,t,e)}function cL(n,t,e,s){let o,r;try{r=n.inboundNodes.map(d=>JSON.stringify(d.inputShapes)).join(",")}catch{r="multiple"}try{o=JSON.stringify(n.outputShape)}catch{o="multiple"}const i=[];for(const d of n.inboundNodes)if(!(e!=null&&e.length>0&&e.indexOf(d)===-1))for(let h=0;h{const t=Object.keys(n);if(t.length===0)return!1;const e=t[0].split("/");return!isNaN(parseInt(e[e.length-1],10))};class Wn extends wt{constructor(t){if(super({}),this.containerNodes=new Set,this.name=t.name,this.name==null){const x=this.getClassName().toLowerCase();this.name=Bc(x)}if(this.supportsMasking=!1,this.trainable_=!0,Array.isArray(t.inputs)?this.inputs=t.inputs.slice():this.inputs=[t.inputs],Array.isArray(t.outputs)?this.outputs=t.outputs.slice():this.outputs=[t.outputs],Ns(this.inputs).length!==this.inputs.length)throw new G(`The list of inputs passed to the model is redundant. 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Found: ${this.outputs.map(x=>x.name)}`),this.inputLayers=[],this.inputLayersNodeIndices=[],this.inputLayersTensorIndices=[],this.outputLayers=[],this.outputLayersNodeIndices=[],this.outputLayersTensorIndices=[],this.layers=[],this.internalContainerRefs=[];for(const x of this.outputs){const C=x.sourceLayer,y=x.nodeIndex,I=x.tensorIndex;this.outputLayers.push(C),this.outputLayersNodeIndices.push(y),this.outputLayersTensorIndices.push(I)}for(const x of this.inputs){const C=x.sourceLayer,y=x.nodeIndex,I=x.tensorIndex;Hn(y===0,"input layer has >1 nodes"),Hn(I===0,"input layer has >1 tensors"),this.inputLayers.push(C),this.inputLayersNodeIndices.push(y),this.inputLayersTensorIndices.push(I)}this.inputNames=[],this.outputNames=[],this.feedInputShapes=[],this.feedInputNames=[],this.feedOutputNames=[];for(let x=0;xx.shape),this.internalOutputShapes=this.outputs.map(x=>x.shape);const e={},s={},o={},r={},i={},a=[],c=(x,C,y,I,w,k)=>{(I==null||w==null||k==null)&&(I=x.sourceLayer,w=x.nodeIndex,k=x.tensorIndex);const v=I.inboundNodes[w];if(y.indexOf(v)!==-1)throw new gn(`The tensor ${x.name} at layer "${I.name}" is part of a cycle.`);if(C.indexOf(v)!==-1)return;this.containerNodes.add(Wn.nodeKey(I,w)),I.id in i||(i[I.id]=Object.keys(i).length),y.indexOf(v)===-1&&y.push(v);const T=v.inboundLayers.length;for(let R=0;R=0;)y.splice(y.indexOf(v),1);a.push(v)},l=[],u=[];for(const x of this.outputs)c(x,l,u);const d=a.slice().reverse();for(const x of d){s[x.id]=x,x.id in e||(e[x.id]=0);let C=e[x.id];const y=o[x.outboundLayer.id]==null?0:o[x.outboundLayer.id];C=Math.max(C,y),o[x.outboundLayer.id]=C,r[x.outboundLayer.id]=x.outboundLayer,e[x.id]=C;for(let I=0;IparseInt(x,10)).sort(Ac);this.layers=[];for(const x of f){const C=p[x];C.sort((y,I)=>{const w=i[y.id],k=i[I.id];return wk?1:0});for(const y of C)y instanceof Wn&&this.internalContainerRefs.push(y),this.layers.push(y)}this.layersByDepth=p,f=Object.keys(h).map(x=>parseInt(x,10)).sort(Ac);const m=this.inputs.slice(),g=[];for(const x of f)for(const C of h[x]){const y=C.outboundLayer;if(y!=null){for(const I of C.inputTensors)if(m.indexOf(I)===-1)throw new gn(`Graph disconnected: cannot obtain value for tensor ${I} at layer "${y.name}". The following previous layers were accessed without issue: ${g}`);for(const I of C.outputTensors)m.push(I);g.push(y.name)}}this.nodesByDepth=h;const b=this.layers.map(x=>x.name);for(const x of b){const C=b.filter(y=>y===x).length;if(C!==1)throw new gn(`The name "${x}" is used ${C} times in the model. All layer names should be unique. Layer names: `+JSON.stringify(b))}this.outboundNodes=[],this.inboundNodes=[],new Jc({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:this.inputs.map(x=>null),outputMasks:this.outputs.map(x=>null),inputShapes:this.inputs.map(x=>x.shape),outputShapes:this.outputs.map(x=>x.shape)}),this.built=!0,this._refCount=1}assertNotDisposed(){if(this._refCount===0)throw new Error(`Container '${this.name}' is already disposed.`)}dispose(){this.assertNotDisposed();const t={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(const e of this.layers)t.numDisposedVariables+=e.dispose().numDisposedVariables;for(const e of this.internalContainerRefs)t.numDisposedVariables+=e.dispose().numDisposedVariables}return t.refCountAfterDispose=this._refCount,t}get trainable(){return this.trainable_}set trainable(t){this.layers.forEach(e=>{e._trainableWeights.forEach(s=>s.trainable=t)}),this.trainable_=t}get trainableWeights(){if(this._trainableWeights.length>0)throw new G("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. 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The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(const t of this.layers)if(t.stateful)return!0;return!1}resetStates(){X(()=>{this.layers.forEach(t=>{t.stateful&&t.resetStates()})})}}/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function uL(n,t,e){const s=t.length;if(n==null||Array.isArray(n)&&n.length===0)return t.map(o=>null);if(s===1)return Array.isArray(n)&&n.length===1?n:typeof n=="object"&&t[0]in n?[n[t[0]]]:[n];if(Array.isArray(n)){if(n.length!==s)throw new Error(`Provided ${e} is an array of ${n.length} element(s), but the model has ${s} outputs. Make sure a set of weights is provided for each model output.`);return n}else if(typeof n=="object"&&Object.keys(n).length>0&&typeof n[Object.keys(n)[0]]=="object"){const o=[];return t.forEach(r=>{r in n?o.push(n[r]):o.push(null)}),o}else throw new Error(`The model has multiple (${s}) outputs, so ${e} must be either an array with ${s} elements or an object with ${t} keys. Provided ${e} not understood: ${JSON.stringify(n)}`)}function Q0(n,t){return uL(n,t,"classWeight")}async function J0(n,t,e,s){if(e!=null){const o=X(()=>{if(n.shape.length===1)return to(n);if(n.shape.length===2){if(n.shape[1]>1)return vi(n,1);if(n.shape[1]===1)return z(n,[n.shape[0]]);throw new Error(`Encountered unexpected last-dimension size (${n.shape[1]}) during handling of class weights. The size is expected to be >= 1.`)}else throw new Error(`Unexpected rank of target (y) tensor (${n.rank}) during handling of class weights. The rank is expected to be 1 or 2.`)}),r=Array.from(await o.data());St(o);const i=[];return r.forEach(a=>{if(e[a]==null)throw new Error(`classWeight must contain all classes in the training data. The class ${a} exists in the data but not in classWeight`);i.push(e[a])}),_e(i,"float32")}else return null}function dL(n,t){return L(n,t)}/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */const hL=32;function j0(n,t){let e,s;const o=t;e=o.xs,s=o.ys,S(e!=null&&s!=null,()=>`A Dataset iterator for fitDataset() is expected to generate objects of the form \`{xs: xVal, ys: yVal}\`, where the two values may be \`tf.Tensor\`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates ${t}`);const r=q0("input",n.inputNames,e),i=q0("output",n.outputNames,s),a=r[0].shape[0];S(r.length===n.inputs.length,()=>`LayersModel has ${n.inputs.length} inputs, but the dataset provides ${r.length} inputs. (Expected input keys: ${JSON.stringify(n.inputNames)})`),S(i.length===n.outputs.length,()=>`LayersModel has ${n.outputs.length} outputs, but the dataset provides ${i.length} outputs. (Expected output keys: ${JSON.stringify(n.outputNames)})`);for(let c=0;c`Batch size mismatch: input ${n.inputNames[c]} has ${r[c].shape[0]}; expected ${a} based on input ${n.inputNames[0]}.`);for(let c=0;c`Batch size mismatch: output ${n.outputNames[c]} has ${i[c].shape[0]}; expected ${a} based on input ${n.inputNames[0]}.`);return{xs:r,ys:i}}function q0(n,t,e){if(e instanceof ae)return[e];if(Array.isArray(e))return S(e.length===t.length,()=>`Received an array of ${e.length} Tensors, but expected ${t.length} to match the ${n} keys ${t}.`),e;{const s=[];for(const o of t){if(e[o]==null)throw new G(`The feature data generated by the dataset lacks the required ${n} key '${o}'.`);s.push(e[o])}return s}}function pL(n){if(n.length===3)throw new bt("Validation with sample weights is not implemented yet.");return{xs:n[0],ys:n[1]}}async function fL(n,t,e){const s=e.batchesPerEpoch!=null;if(S(n.optimizer!=null,()=>"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."),S(e!=null,()=>"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."),S(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),()=>`For fitDataset(), config.epochs is expected to be a positive integer, but got ${e.epochs}`),S(!s||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),()=>`For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got ${e.batchesPerEpoch}`),S(e.validationSplit==null,()=>"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."),n.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");n.isTraining=!0;try{const o=e.validationData!=null;let r,i;if(o)if(tb(e.validationData))S(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),()=>`For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got ${e.validationBatches}`);else{const g=pL(e.validationData);r=g.xs,i=g.ys}const a=n.makeTrainFunction(),c=n.getDedupedMetricsNames();let l;o?l=c.slice().concat(c.map(g=>"val_"+g)):l=c.slice();const u=Z0(e.callbacks,e.yieldEvery),d=e.verbose==null?1:e.verbose,{callbackList:h,history:p}=F0(u,d,e.epochs,null,null,mL(t,e),null,o,l);h.setModel(n),n.history=p,await h.onTrainBegin(),n.stopTraining_=!1;let f=e.initialEpoch==null?0:e.initialEpoch,m=await t.iterator();for(;f=e.batchesPerEpoch:C.done){if(o){let y;tb(e.validationData)?y=$t(await n.evaluateDataset(e.validationData,{batches:e.validationBatches})):y=$t(n.evaluate(r,i,{batchSize:e.validationBatchSize==null?hL:e.validationBatchSize,verbose:0}));for(let I=0;I0)throw new bt("Verbose mode is not implemented yet.");S(!s||e.batches>0&&Number.isInteger(e.batches),()=>`Test loop expects \`batches\` to be a positive integer, but received ${JSON.stringify(e.batches)}`);const i=gL(t)?t:await t.iterator();let a=0,c=0;for(;!s||c{if(l.value){const{xs:u,ys:d}=j0(n,l.value),h=u.concat(d),p=X(()=>o(h));if(St(h),c===0)for(let m=0;mQ(r[m],L(f,g))),c>0&&St(b)}St(p),a+=f,++c}return r}),l.done){s&&console.warn(`Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least \`batches\` batches (in this case, ${e.batches} batches). You may need to use the repeat() function when building your dataset.`);break}}for(let l=0;l0&&Number.isInteger(n),()=>`batchSize is required to be a positive integer, but got ${n}`)}function Yi(n,t,e){return n==null?[null]:Array.isArray(n)?n.map(s=>xo(s,t,e-t)):xo(n,t,e-t)}function Jh(n,t){return X(()=>n==null?null:Array.isArray(n)?n.map(e=>Jh(e,t)):b0(n,t.dtype==="int32"?t:st(t,"int32")))}function jh(n,t){const e=[];let s=0,o=null;for(;s=n&&(o=n),e.push([s,o]),s=o;return e}function eb(n){const t=[];n instanceof ae&&(n=[n]);for(let e=0;ee.push(o.id));else if(t!=null)for(const o in t){const r=t[o];e.push(r.id)}const s=[];if(n instanceof ae)e.indexOf(n.id)===-1&&s.push(n);else if(Array.isArray(n))n.forEach(o=>{e.indexOf(o.id)===-1&&s.push(o)});else if(n!=null)for(const o in n){const r=n[o];e.indexOf(r.id)===-1&&s.push(r)}s.forEach(o=>{o.isDisposed||o.dispose()})}/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function xL(n){return n instanceof ae}function qh(n){return Array.isArray(n)}function nb(n){return!xL(n)&&!qh(n)}function sb(n,t,e,s=!0,o=""){if(t==null||t.length===0){if(n!=null){let i=!1;if(qh(n)&&n.length>0)i=!0;else if(nb(n)){for(const a in n)if(n.hasOwnProperty(a)){i=!0;break}}else i=!0;if(i)throw new G(`Error when checking model ${o} expected no data, but got ${n}`)}return[]}if(n==null)return t.map(i=>null);let r;if(nb(n)){n=n,r=[];for(const i of t){if(n[i]==null)throw new G(`No data provided for "${i}". 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Found ${s[0]} input sample(s) and ${o[0]} target sample(s).`)}function CL(n,t,e){const s=[el,sl,_i];for(let o=0;o1)throw new G(`The model expects ${t.length} ${o} Tensors, but only received one Tensor. Found: array with shape ${JSON.stringify(n.shape)}.`);r=[n]}if(e!=null)for(let i=0;i[]);let e;if(typeof n=="string"||typeof n=="function")e=[n];else if(Array.isArray(n)||typeof n=="object")e=n;else throw new TypeError(`Type of metrics argument not understood. Expected an string,function, Array, or Object, found: ${n}`);if(Array.isArray(e))return t.map(s=>e);{const s=[];for(const o of t){let r=e.hasOwnProperty(o)?e[o]:[];Array.isArray(r)||(r=[r]),s.push(r)}return s}}const wL="layers-model";class sr extends Wn{constructor(t){super(t),this.isTraining=!1}summary(t,e,s=console.log){if(!this.built)throw new G("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");oL(this,t,e,s)}compile(t){if(t.loss==null&&(t.loss=[]),this.loss=t.loss,typeof t.optimizer=="string")this.optimizer_=sL(t.optimizer),this.isOptimizerOwned=!0;else{if(!(t.optimizer instanceof Ts))throw new G("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=t.optimizer,this.isOptimizerOwned=!1}let e=[];if(!Array.isArray(t.loss)&&typeof t.loss!="string"&&typeof t.loss!="function"){t.loss=t.loss;for(const i in t.loss)if(this.outputNames.indexOf(i)===-1)throw new G(`Unknown entry in loss dictionary: "${i}". Only expected the following keys: ${this.outputNames}`);for(const i of this.outputNames)t.loss[i]==null&&console.warn(`Output "${i}" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data to be passed to ${i} during training`),e.push(Bh(t.loss[i]))}else if(Array.isArray(t.loss)){if(t.loss.length!==this.outputs.length)throw new G(`When passing an Array as loss, it should have one entry per model output. The model has ${this.outputs.length} output(s), but you passed loss=${t.loss}.`);e=t.loss.map(a=>Bh(a))}else{const i=Bh(t.loss);this.outputs.forEach(a=>{e.push(i)})}this.lossFunctions=e,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(let i=0;i{for(let i=0;i1&&(this.metricsTensors.push([a,i]),this.metricsNames.push(this.outputNames[i]+"_loss"))}});const o=IL(t.metrics,this.outputNames),r=(i,a,c)=>{this.outputNames.length>1&&(a=this.outputNames[i]+"_"+a),this.metricsNames.push(a),this.metricsTensors.push([c,i])};bo("metric",()=>{for(let i=0;i{const u="";let d,h,p;for(const f of l){if(typeof f=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(f)!==-1){const g=this.internalOutputShapes[i];g[g.length-1]===1||this.lossFunctions[i]===sl?["accuracy","acc"].indexOf(f)!==-1?h=P0:["crossentropy","ce"].indexOf(f)!==-1&&(h=UG):this.lossFunctions[i]===nl?["accuracy","acc"].indexOf(f)!==-1?h=_G:["crossentropy","ce"].indexOf(f)!==-1&&(h=H0):["accuracy","acc"].indexOf(f)!==-1?h=O0:["crossentropy","ce"].indexOf(f)!==-1&&(h=A0);let b;["accuracy","acc"].indexOf(f)!==-1?b="acc":["crossentropy","ce"].indexOf(f)!==-1&&(b="ce"),p=h,d=u+b}else p=nL(f),d=u+il(f);let m;bo(d,()=>{m=p}),r(i,d,m)}})(a)}}),this.collectedTrainableWeights=this.trainableWeights}checkTrainableWeightsConsistency(){this.collectedTrainableWeights!=null&&this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")}evaluate(t,e,s={}){const o=s.batchSize==null?32:s.batchSize;Qh(o);const i=this.standardizeUserDataXY(t,e,!0,o);try{const a=i[0].concat(i[1]);this.makeTestFunction();const c=this.testFunction,l=this.testLoop(c,a,o,s.verbose,s.steps);return Pe(l)}finally{Xn(i[0],t),Xn(i[1],e)}}async evaluateDataset(t,e){return this.makeTestFunction(),bL(this,t,e)}checkNumSamples(t,e,s,o="steps"){let r;if(s!=null){if(r=null,e!=null)throw new G(`If ${o} is set, batchSize must be null or undefined.Got batchSize = ${e}`)}else if(t!=null)Array.isArray(t)?r=t[0].shape[0]:r=t.shape[0];else throw new G(`Either the input data should have a defined shape, or ${o} shoud be specified.`);return r}execute(t,e){if(Array.isArray(e)&&e.length===0)throw new G("`outputs` is an empty Array, which is not allowed.");const s=Array.isArray(e),o=s?e:[e],r=this.retrieveSymbolicTensors(o),i=new Ls;if(t instanceof ae&&(t=[t]),Array.isArray(t)){if(t.length!==this.inputs.length)throw new G(`The number of inputs provided (${t.length}) does not match the number of inputs of this model (${this.inputs.length}).`);for(let c=0;ca.name);for(let a=0;a0){const o=[];throw e.forEach((r,i)=>{r==null&&o.push(t[i])}),new G(`Cannot find SymbolicTensors for output name(s): ${JSON.stringify(o)}`)}return e}predictLoop(t,e=32,s=!1){return X(()=>{const o=this.checkNumSamples(t);if(s)throw new bt("Verbose predictLoop() is not implemented yet.");const r=jh(o,e),i=this.outputs.map(a=>[]);for(let a=0;a{const l=r[a][0],u=r[a][1],d=Yi(t,l,u),h=[];if(Array.isArray(d))for(let f=0;fi[u].push(l));return Pe(i.map(a=>Fe(a,0)))})}predict(t,e={}){const s=eb(t);ob(s,this.inputNames,this.feedInputShapes,!1);try{const o=e.batchSize==null?32:e.batchSize;return Qh(o),this.predictLoop(s,o)}finally{Xn(s,t)}}predictOnBatch(t){ob(t,this.inputNames,this.feedInputShapes,!0);const e=(Array.isArray(t)?t[0]:t).shape[0];return this.predictLoop(t,e)}standardizeUserDataXY(t,e,s=!0,o){if(this.optimizer_==null)throw new gn("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");const r=[];for(let i=0;i0&&t[0].shape[0]%o!==0)throw new G(`In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size ${o}. Found: ${t[0].shape[0]} sample(s).`);return[t,e]}async standardizeUserData(t,e,s,o,r=!0,i){const[a,c]=this.standardizeUserDataXY(t,e,r,i);if(s!=null)throw new Error("sample weight is not supported yet.");let l=null;if(o!=null){const u=Q0(o,this.outputNames);l=[];for(let d=0;d{const i=this.checkNumSamples(e,s,r,"steps"),a=[];if(o>0)throw new bt("Verbose mode is not implemented yet.");if(r!=null)throw new bt("steps mode in testLoop() is not implemented yet");{const c=jh(i,s),l=_e(Gn(0,i));for(let u=0;u1){const i=a0(t.slice(0,s),o);r+=`_${i}`}e.push(r)}return e}makeTrainFunction(){return t=>{const e=[],s=t.slice(0,this.inputs.length),o=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),r=t.slice(this.inputs.length+this.outputs.length,this.inputs.length+this.outputs.length*2),i=[],a=()=>{const d=[];for(let m=0;m1&&m{f=Q(f,m)}),f},c=this.collectedTrainableWeights.map(d=>d.read());return[this.optimizer_.minimize(a,!0,c)].concat(i)}}makeTestFunction(){this.testFunction=t=>X(()=>{const e=[];let s;const o=t.slice(0,this.inputs.length),r=t.slice(this.inputs.length,this.inputs.length+this.outputs.length),i=[];for(let l=0;l0){if(g=!0,s.validationData.length===2)c=s.validationData[0],l=s.validationData[1];else throw s.validationData.length===3?new bt("validationData including sample weights is not supported yet."):new G(`When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; ${s.validationData} is invalid.`);const R=await this.standardizeUserData(c,l,null,null,!0,p);u=R[0],d=R[1],b=u.concat(d)}else if(s.validationSplit!=null&&s.validationSplit>0&&s.validationSplit<1){g=!0;const T=Math.floor(o[0].shape[0]*(1-s.validationSplit)),R=o[0].shape[0];u=Yi(o,T,R),i=o,o=Yi(o,0,T),d=Yi(r,T,R),a=r,r=Yi(r,0,T),b=u.concat(d)}else s.validationSteps!=null&&(g=!0);const x=o.concat(r).concat(h);this.checkTrainableWeightsConsistency();const C=this.makeTrainFunction(),y=this.getDedupedMetricsNames();let I,w;g?(this.makeTestFunction(),I=this.testFunction,w=y.slice().concat(y.map(T=>"val_"+T))):(I=null,b=[],w=y.slice());const k=Z0(s.callbacks,s.yieldEvery);return await this.fitLoop(C,x,y,p,s.epochs,s.verbose,k,I,b,s.shuffle,w,s.initialEpoch,null,null)}finally{this.isTraining=!1,Xn(o,t),Xn(r,e),Xn(i,t),Xn(a,e),Xn(u,c),Xn(d,l),h!=null&&St(h)}}async fitLoop(t,e,s,o,r,i,a,c,l,u,d,h,p,f){o==null&&(o=32),r==null&&(r=1),u==null&&(u=!0),h==null&&(h=0);let m=!1;if(c!=null&&l!=null&&(m=!0),f!=null&&(m=!0,p==null))throw new G("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");const g=this.checkNumSamples(e,o,p,"steps_per_epoch");let b;g!=null&&(b=Gn(0,g)),i==null&&(i=1);const{callbackList:x,history:C}=F0(a,i,r,h,g,p,o,m,d);x.setModel(this),this.history=C,await x.onTrainBegin(),this.stopTraining_=!1;for(let y=h;y{const R=k[v][0],W=k[v][1],E=xo(w,R,W-R);T.batch=v,T.size=W-R;const K=Jh(e,E),Z=t(K);for(let F=0;Fls(e))}else{const e=Object.keys(this.loss);t={};const s=this.loss;for(const o of e)if(typeof s[o]=="string")t[o]=ls(s[o]);else throw new Error("Serialization of non-string loss is not supported.")}return t}getMetricIdentifiers(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[ls(il(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(t=>ls(il(t)));{const t={};for(const e in this.metrics)t[e]=ls(il(this.metrics[e]));return t}}getTrainingConfig(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}loadTrainingConfig(t){if(t.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(t.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(t.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");const e=_h(t.optimizer_config),s=us(e);let o;if(typeof t.loss=="string")o=mo(t.loss);else if(Array.isArray(t.loss))o=t.loss.map(i=>mo(i));else if(t.loss!=null){o={};for(const i in t.loss)o[i]=mo(t.loss[i])}let r;if(Array.isArray(t.metrics))r=t.metrics.map(i=>mo(i));else if(t.metrics!=null){r={};for(const i in t.metrics)r[i]=mo(t.metrics[i])}this.compile({loss:o,metrics:r,optimizer:s})}async save(t,e){if(typeof t=="string"){const l=YI(t);if(l.length===0)throw new G(`Cannot find any save handlers for URL '${t}'`);if(l.length>1)throw new G(`Found more than one (${l.length}) save handlers for URL '${t}'`);t=l[0]}if(t.save==null)throw new G("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");const s=await xm(this.getNamedWeights(e)),a={modelTopology:this.toJSON(null,!1),format:wL,generatedBy:`TensorFlow.js tfjs-layers v${Y0}`,convertedBy:null};if((e==null?!1:e.includeOptimizer)&&this.optimizer!=null){a.trainingConfig=this.getTrainingConfig();const l="optimizer",{data:u,specs:d}=await xm(await this.optimizer.getWeights(),l);s.specs.push(...d),s.data=BI([s.data,u])}return this.userDefinedMetadata!=null&&(U0(this.userDefinedMetadata,this.name,!0),a.userDefinedMetadata=this.userDefinedMetadata),a.weightData=s.data,a.weightSpecs=s.specs,t.save(a)}setUserDefinedMetadata(t){U0(t,this.name),this.userDefinedMetadata=t}getUserDefinedMetadata(){return this.userDefinedMetadata}}sr.className="Model",U(sr);class rb extends sr{}rb.className="Functional",U(rb);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class Qi extends sr{constructor(t){if(super({inputs:[],outputs:[]}),t=t||{},this.trainable=!0,this.built=!1,this.name=t.name!=null?t.name:Bc("sequential_"),t.layers!=null)for(const e of t.layers)this.add(e)}checkShape(t){if(t.inboundNodes[0].outputTensors[0].shape.some(s=>s<0))throw new G(`Negative dimension size caused by adding layer ${t.name} with input shape [${t.inboundNodes[0].inputTensors[0].shape}]`)}add(t){const e=t instanceof Qi||t instanceof sr;let s;if(e){if(s=t,s.outputs.length!==1)throw new G("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(s.inputs.length!==1)throw new G("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(t.inboundNodes.length===0){if(t.batchInputShape==null)throw new G("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");const o=kG({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(o)}if(e)this.outputs=s.outputs,this.inputs=s.inputs;else{if(t.inboundNodes.length!==1)throw new G(`A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer ${t.name} which has ${t.inboundNodes.length} pre-existing inbound connections.`);if(t.inboundNodes[0].outputTensors.length!==1)throw new G("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=G0(this.outputs[0])}this.inboundNodes=[],new Jc({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:fo(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(o=>o.shape),outputShapes:this.outputs[0].shape})}else{const o=t.apply(this.outputs[0]);if(Array.isArray(o))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[o],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1}pop(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{const t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}}call(t,e){return this.model==null&&this.build(),this.model.call(t,e)}build(t){if(Nt(t),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new sr({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0}countParams(){return this.built||this.build(),super.countParams()}summary(t,e,s=console.log){this.built||this.build(),super.summary(t,e,s)}setWeights(t){this.model==null&&this.build(),this.model.setWeights(t)}evaluate(t,e,s={}){if(!this.built)throw new gn("The model needs to be compiled before being used.");return this.model.evaluate(t,e,s)}async evaluateDataset(t,e){if(!this.built)throw new gn("The model needs to be compiled before being used.");return this.model.evaluateDataset(t,e)}predict(t,e={}){return this.model==null&&this.build(),this.model.predict(t,e)}predictOnBatch(t){return this.model==null&&this.build(),this.model.predictOnBatch(t)}compile(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames}get optimizer(){return this.model==null?void 0:this.model.optimizer}set optimizer(t){this.model.optimizer=t}async fit(t,e,s={}){if(!this.built)throw new gn("The model needs to be compiled before being used.");return this.model.fit(t,e,s)}async fitDataset(t,e){if(!this.built)throw new gn("The model needs to be compiled before being used.");return this.model.fitDataset(t,e)}async trainOnBatch(t,e){return this.model.trainOnBatch(t,e)}static fromConfig(t,e,s={},o=!1){let r,i={};if(e instanceof Array){if(e[0].className==null||e[0].className==="Merge")throw new G("Legacy serialization format not supported yet.");r=e}else S(e.layers!=null,()=>"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."),r=e.layers,delete e.layers,i=e;const a=new t(i);if(!(a instanceof Qi))throw new bt(`Sequential.fromConfig called on non-Sequential input: ${a}`);for(const c of r){const u=us(c,void 0,o);o&&u.setFastWeightInitDuringBuild(!0),a.add(u)}return a}set stopTraining(t){if(this.model==null)throw new G("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=t}get stopTraining(){if(this.model==null)throw new G("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining}getConfig(){const t=[];for(const e of this.layers){const s={};s.className=e.getClassName(),s.config=e.getConfig(),t.push(s)}return{name:this.name,layers:t}}}Qi.className="Sequential",U(Qi);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */let Ge=class extends qo{getConfig(){return{}}};class ib extends Ge{apply(t,e=1){return lG(t,e)}}ib.className="elu",U(ib);class ab extends Ge{apply(t){return Jm(t)}}ab.className="selu",U(ab);class cb extends Ge{apply(t){return ao(t)}}cb.className="relu",U(cb);class lb extends Ge{apply(t){return X(()=>$i(6,ao(t)))}}lb.className="relu6",U(lb);class ub extends Ge{apply(t){return t}}ub.className="linear",U(ub);class db extends Ge{apply(t){return _o(t)}}db.className="sigmoid",U(db);class hb extends Ge{apply(t){return dG(t)}}hb.className="hardSigmoid",U(hb);class pb extends Ge{apply(t){return Li(t)}}pb.className="softplus",U(pb);class fb extends Ge{apply(t){return uG(t)}}fb.className="softsign",U(fb);class mb extends Ge{apply(t){return Gc(t)}}mb.className="tanh",U(mb);let tp=class extends Ge{apply(t,e=-1){return Dd(t,e)}};tp.className="softmax",U(tp);class gb extends Ge{apply(t,e=-1){return Pm(t,e)}}gb.className="logSoftmax",U(gb);class bb extends Ge{apply(t){return X(()=>X(()=>{const e=Math.sqrt(2),s=L(.5,Q(1,Em(dt(t,e))));return L(t,s)}))}}bb.className="gelu",U(bb);class xb extends Ge{apply(t){return X(()=>L(.5,L(t,Q(1,Gc(L(Re(dt(2,Math.PI)),Q(t,L(.044715,oo(t,3)))))))))}}xb.className="gelu_new",U(xb);class yb extends Ge{apply(t){return X(()=>L(t,Gc(Li(t))))}}yb.className="mish",U(yb);class Cb extends Ge{apply(t,e=1){return X(()=>L(_o(L(t,e)),t))}}Cb.className="swish",U(Cb);function $s(n){return n.getClassName()}function ep(n,t={}){return Zi(n,mn.getMap().classNameMap,t,"activation")}function Ws(n){if(n==null){const t={};return t.className="linear",t.config={},ep(t)}if(typeof n=="string"){const t={};return t.className=n,t.config={},ep(t)}else return n instanceof Ge?n:ep(n)}/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function SL(n){if(n!=null&&typeof n!="object")throw new Error(`Argument to L1L2 regularizer's constructor is expected to be an object, but received: ${n}`)}class Ib extends qo{}class wb extends Ib{constructor(t){super(),SL(t),this.l1=t==null||t.l1==null?.01:t.l1,this.l2=t==null||t.l2==null?.01:t.l2,this.hasL1=this.l1!==0,this.hasL2=this.l2!==0}apply(t){return X(()=>{let e=be([1]);return this.hasL1&&(e=Q(e,ut(L(this.l1,We(t))))),this.hasL2&&(e=Q(e,ut(L(this.l2,Pi(t))))),z(e,[])})}getConfig(){return{l1:this.l1,l2:this.l2}}static fromConfig(t,e){return new t({l1:e.l1,l2:e.l2})}}wb.className="L1L2",U(wb);const Sb={l1l2:"L1L2"};function Vt(n){return kh(n)}function vb(n,t={}){return Zi(n,mn.getMap().classNameMap,t,"regularizer")}function Ut(n){if(n==null)return null;if(typeof n=="string"){const e={className:n in Sb?Sb[n]:n,config:{}};return vb(e)}else return n instanceof Ib?n:vb(n)}/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class kb extends wt{constructor(t){super(t??{}),this.supportsMasking=!0,t!=null&&(this.maxValue=t.maxValue)}call(t,e){t=mt(t);let s=ao(t);return this.maxValue!=null&&(s=nn(s,0,this.maxValue)),s}computeOutputShape(t){return t}getConfig(){const t={maxValue:this.maxValue},e=super.getConfig();return Object.assign(t,e),t}}kb.className="ReLU",U(kb);class Tb extends wt{constructor(t){super(t??{}),this.DEFAULT_ALPHA=.3,t==null&&(t={}),this.alpha=t.alpha==null?this.DEFAULT_ALPHA:t.alpha}call(t,e){const s=mt(t);return kd(s,this.alpha)}computeOutputShape(t){return t}getConfig(){const t={alpha:this.alpha},e=super.getConfig();return Object.assign(t,e),t}}Tb.className="LeakyReLU",U(Tb);class Nb extends wt{constructor(t){if(super(t??{}),this.DEFAULT_ALPHA_INITIALIZER="zeros",t==null&&(t={}),this.supportsMasking=!0,this.alphaInitializer=Bt(t.alphaInitializer||this.DEFAULT_ALPHA_INITIALIZER),this.alphaRegularizer=Ut(t.alphaRegularizer),this.alphaConstraint=he(t.alphaConstraint),t.sharedAxes==null)this.sharedAxes=null;else if(Array.isArray(t.sharedAxes))this.sharedAxes=t.sharedAxes;else if(typeof t.sharedAxes=="number")this.sharedAxes=[t.sharedAxes];else throw new G(`Expected sharedAxes to be a number or an array of numbers, but got ${t.sharedAxes}`)}build(t){t=Nt(t);const e=t.slice(1);if(this.sharedAxes!=null)for(const o of this.sharedAxes)e[o-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);const s={};if(this.sharedAxes!=null)for(let o=1;o{let s=mt(t);const o=e.mask;if(o!=null){const r=L(pt(ks(s.shape),st(o,s.dtype)),Lt(-1e9));s=Q(s,r)}return this.axis instanceof Array?this.axis.length>1?Fn(pt(s,Om(s,this.axis,!0))):this.softmax(s,this.axis[0]):this.softmax(s,this.axis)})}computeOutputShape(t){return t}getConfig(){const t={axis:this.axis},e=super.getConfig();return Object.assign(t,e),t}}Lb.className="Softmax",U(Lb);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function or(n,t,e){if(typeof n=="number")return fo(n,t);if(n.length!==t)throw new G(`The ${e} argument must be an integer or tuple of ${t} integers. Received: ${n.length} elements.`);for(let s=0;s(se(t),t==="channelsFirst"?kt(n,[0,2,3,1]):n))}function $b(n,t){return X(()=>(se(t),t==="channelsFirst"?kt(n,[0,2,3,4,1]):n))}function vL(n,t,e,s=1,o="valid",r,i=1){return X(()=>{if(r==null&&(r=Ln()),se(r),n.shape.length!==3)throw new G(`The input of a conv1dWithBias operation should be 3, but is ${n.shape.length} instead.`);if(t.shape.length!==3)throw new G(`The kernel for a conv1dWithBias operation should be 3, but is ${t.shape.length} instead`);if(e!=null&&e.shape.length!==1)throw new G(`The bias for a conv1dWithBias operation should be 1, but is ${e.shape.length} instead`);if(r==="channelsFirst"&&(n=kt(n,[0,2,1])),o==="causal")throw new bt("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");let a=$m(n,t,s,o==="same"?"same":"valid","NWC",i);return e!=null&&(a=$n(a,e)),a})}function Wb(n,t,e,s=[1,1],o="valid",r,i,a=null){return X(()=>{if(r==null&&(r=Ln()),se(r),n.rank!==3&&n.rank!==4)throw new G(`conv2dWithBiasActivation expects input to be of rank 3 or 4, but received ${n.rank}.`);if(t.rank!==3&&t.rank!==4)throw new G(`conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received ${n.rank}.`);let c=np(n,r);if(o==="causal")throw new bt("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return c=Sk({x:c,filter:t,strides:s,pad:o==="same"?"same":"valid",dilations:i,dataFormat:"NHWC",bias:e,activation:a}),r==="channelsFirst"&&(c=kt(c,[0,3,1,2])),c})}function kL(n,t,e,s=[1,1,1],o="valid",r,i){return X(()=>{if(r==null&&(r=Ln()),se(r),n.rank!==4&&n.rank!==5)throw new G(`conv3dWithBias expects input to be of rank 4 or 5, but received ${n.rank}.`);if(t.rank!==4&&t.rank!==5)throw new G(`conv3dWithBias expects kernel to be of rank 4 or 5, but received ${n.rank}.`);let a=$b(n,r);if(o==="causal")throw new bt("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return a=vw(a,t,s,o==="same"?"same":"valid","NDHWC",i),e!=null&&(a=$n(a,e)),r==="channelsFirst"&&(a=kt(a,[0,4,1,2,3])),a})}class cl extends wt{constructor(t,e){if(super(e),this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",cl.verifyArgs(e),this.rank=t,xe(this.rank,"rank"),this.rank!==1&&this.rank!==2&&this.rank!==3)throw new bt(`Convolution layer for rank other than 1, 2, or 3 (${this.rank}) is not implemented yet.`);if(this.kernelSize=or(e.kernelSize,t,"kernelSize"),this.strides=or(e.strides==null?1:e.strides,t,"strides"),this.padding=e.padding==null?"valid":e.padding,rn(this.padding),this.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,se(this.dataFormat),this.activation=Ws(e.activation),this.useBias=e.useBias==null?!0:e.useBias,this.biasInitializer=Bt(e.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.biasConstraint=he(e.biasConstraint),this.biasRegularizer=Ut(e.biasRegularizer),this.activityRegularizer=Ut(e.activityRegularizer),this.dilationRate=or(e.dilationRate==null?1:e.dilationRate,t,"dilationRate"),this.rank===1&&Array.isArray(this.dilationRate)&&this.dilationRate.length!==1)throw new G(`dilationRate must be a number or an array of a single number for 1D convolution, but received ${JSON.stringify(this.dilationRate)}`);if(this.rank===2){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==2)throw new G(`dilationRate must be a number or array of two numbers for 2D convolution, but received ${JSON.stringify(this.dilationRate)}`)}else if(this.rank===3){if(typeof this.dilationRate=="number")this.dilationRate=[this.dilationRate,this.dilationRate,this.dilationRate];else if(this.dilationRate.length!==3)throw new G(`dilationRate must be a number or array of three numbers for 3D convolution, but received ${JSON.stringify(this.dilationRate)}`)}}static verifyArgs(t){if(Hn("kernelSize"in t,"required key 'kernelSize' not in config"),typeof t.kernelSize!="number"&&!Nh(t.kernelSize,"number",1,3))throw new G(`BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received ${JSON.stringify(t.kernelSize)}.`)}getConfig(){const t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:$s(this.activation),useBias:this.useBias,biasInitializer:Qt(this.biasInitializer),biasRegularizer:Vt(this.biasRegularizer),activityRegularizer:Vt(this.activityRegularizer),biasConstraint:de(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}}class rr extends cl{constructor(t,e){super(t,e),this.kernel=null,rr.verifyArgs(e),this.filters=e.filters,xe(this.filters,"filters"),this.kernelInitializer=Bt(e.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.kernelConstraint=he(e.kernelConstraint),this.kernelRegularizer=Ut(e.kernelRegularizer)}build(t){t=Nt(t);const e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new G(`The channel dimension of the input should be defined. Found ${t[e]}`);const s=t[e],o=this.kernelSize.concat([s,this.filters]);this.kernel=this.addWeight("kernel",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:{[e]:s}}],this.built=!0}call(t,e){return X(()=>{t=mt(t);let s;const o=this.bias==null?null:this.bias.read(),r=l0(this.activation.getClassName());if(r!=null&&this.rank===2)s=Wb(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate,r);else{if(this.rank===1)s=vL(t,this.kernel.read(),o,this.strides[0],this.padding,this.dataFormat,this.dilationRate[0]);else if(this.rank===2)s=Wb(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else if(this.rank===3)s=kL(t,this.kernel.read(),o,this.strides,this.padding,this.dataFormat,this.dilationRate);else throw new bt("convolutions greater than 3D are not implemented yet.");this.activation!=null&&(s=this.activation.apply(s))}return s})}computeOutputShape(t){t=Nt(t);const e=[],s=this.dataFormat==="channelsLast"?t.slice(1,t.length-1):t.slice(2);for(let r=0;r 0 but got ${JSON.stringify(t.filters)}`)}}class Ji extends rr{constructor(t){super(2,t),Ji.verifyArgs(t)}getConfig(){const t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!Nh(t.kernelSize,"number",1,2))throw new G(`Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received ${JSON.stringify(t.kernelSize)}.`)}}Ji.className="Conv2D",U(Ji);class ji extends rr{constructor(t){super(3,t),ji.verifyArgs(t)}getConfig(){const t=super.getConfig();return delete t.rank,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!(Array.isArray(t.kernelSize)&&(t.kernelSize.length===1||t.kernelSize.length===3)))throw new G(`Conv3D expects config.kernelSize to be number or [number, number, number], but received ${JSON.stringify(t.kernelSize)}.`)}}ji.className="Conv3D",U(ji);class Xb extends Ji{constructor(t){if(super(t),this.inputSpec=[new ue({ndim:4})],this.padding!=="same"&&this.padding!=="valid")throw new G(`Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Nt(t),t.length!==4)throw new G("Input should have rank 4; Received input shape: "+JSON.stringify(t));const e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new G("The channel dimension of the inputs should be defined. Found `None`.");const s=t[e],o=this.kernelSize.concat([this.filters,s]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ue({ndim:4,axes:{[e]:s}})],this.built=!0}call(t,e){return X(()=>{let s=mt(t);if(s.shape.length!==4)throw new G(`Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${s.shape.length}`);const o=s.shape,r=o[0];let i,a;this.dataFormat==="channelsFirst"?(i=2,a=3):(i=1,a=2);const c=o[i],l=o[a],u=this.kernelSize[0],d=this.kernelSize[1],h=this.strides[0],p=this.strides[1],f=Yn(c,h,u,this.padding),m=Yn(l,p,d,this.padding),g=[r,f,m,this.filters];this.dataFormat!=="channelsLast"&&(s=kt(s,[0,2,3,1]));let b=Wm(s,this.kernel.read(),g,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(b=kt(b,[0,3,1,2])),this.bias!=null&&(b=$n(b,this.bias.read(),this.dataFormat)),this.activation!=null&&(b=this.activation.apply(b)),b})}computeOutputShape(t){t=Nt(t);const e=t.slice();let s,o,r;this.dataFormat==="channelsFirst"?(s=1,o=2,r=3):(s=3,o=1,r=2);const i=this.kernelSize[0],a=this.kernelSize[1],c=this.strides[0],l=this.strides[1];return e[s]=this.filters,e[o]=Yn(e[o],c,i,this.padding),e[r]=Yn(e[r],l,a,this.padding),e}getConfig(){const t=super.getConfig();return delete t.dilationRate,t}}Xb.className="Conv2DTranspose",U(Xb);class Mb extends ji{constructor(t){if(super(t),this.inputSpec=[new ue({ndim:5})],this.padding!=="same"&&this.padding!=="valid")throw new G(`Conv3DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode ${this.padding}`)}build(t){if(t=Nt(t),t.length!==5)throw new G("Input should have rank 5; Received input shape: "+JSON.stringify(t));const e=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[e]==null)throw new G("The channel dimension of the inputs should be defined. Found `None`.");const s=t[e],o=this.kernelSize.concat([this.filters,s]);this.kernel=this.addWeight("kernel",o,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new ue({ndim:5,axes:{[e]:s}})],this.built=!0}call(t,e){return X(()=>{let s=mt(t);if(s.shape.length!==5)throw new G(`Conv3DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-${s.shape.length}`);const o=s.shape,r=o[0];let i,a,c;this.dataFormat==="channelsFirst"?(c=2,i=3,a=4):(c=1,i=2,a=3);const l=o[c],u=o[i],d=o[a],h=this.kernelSize[0],p=this.kernelSize[1],f=this.kernelSize[2],m=this.strides[0],g=this.strides[1],b=this.strides[2],x=Yn(l,m,h,this.padding),C=Yn(u,g,p,this.padding),y=Yn(d,b,f,this.padding),I=[r,x,C,y,this.filters];this.dataFormat!=="channelsLast"&&(s=kt(s,[0,2,3,4,1]));let w=Nw(s,this.kernel.read(),I,this.strides,this.padding);return this.dataFormat!=="channelsLast"&&(w=kt(w,[0,4,1,2,3])),this.bias!==null&&(w=$n(w,this.bias.read(),this.dataFormat)),this.activation!==null&&(w=this.activation.apply(w)),w})}computeOutputShape(t){t=Nt(t);const e=t.slice();let s,o,r,i;this.dataFormat==="channelsFirst"?(s=1,o=2,r=3,i=4):(s=4,o=1,r=2,i=3);const a=this.kernelSize[0],c=this.kernelSize[1],l=this.kernelSize[2],u=this.strides[0],d=this.strides[1],h=this.strides[2];return e[s]=this.filters,e[o]=Yn(e[o],u,a,this.padding),e[r]=Yn(e[r],d,c,this.padding),e[i]=Yn(e[i],h,l,this.padding),e}getConfig(){const t=super.getConfig();return delete t.dilationRate,t}}Mb.className="Conv3DTranspose",U(Mb);class zb extends rr{constructor(t,e){if(super(t,e),this.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",this.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",this.depthwiseKernel=null,this.pointwiseKernel=null,e.filters==null)throw new G("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(e.kernelInitializer!=null||e.kernelRegularizer!=null||e.kernelConstraint!=null)throw new G("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(e.padding!=null&&e.padding!=="same"&&e.padding!=="valid")throw new G(`SeparableConv${this.rank}D supports only padding modes: 'same' and 'valid', but received ${JSON.stringify(e.padding)}`);this.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,this.depthwiseInitializer=Bt(e.depthwiseInitializer||this.DEFAULT_DEPTHWISE_INITIALIZER),this.depthwiseRegularizer=Ut(e.depthwiseRegularizer),this.depthwiseConstraint=he(e.depthwiseConstraint),this.pointwiseInitializer=Bt(e.depthwiseInitializer||this.DEFAULT_POINTWISE_INITIALIZER),this.pointwiseRegularizer=Ut(e.pointwiseRegularizer),this.pointwiseConstraint=he(e.pointwiseConstraint)}build(t){if(t=Nt(t),t.length{t=mt(t);let s;if(this.rank===1)throw new bt("1D separable convolution is not implemented yet.");return this.rank===2&&(this.dataFormat==="channelsFirst"&&(t=kt(t,[0,2,3,1])),s=jm(t,this.depthwiseKernel.read(),this.pointwiseKernel.read(),this.strides,this.padding,this.dilationRate,"NHWC")),this.useBias&&(s=$n(s,this.bias.read(),this.dataFormat)),this.activation!=null&&(s=this.activation.apply(s)),this.dataFormat==="channelsFirst"&&(s=kt(s,[0,3,1,2])),s})}getConfig(){const t=super.getConfig();return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=Qt(this.depthwiseInitializer),t.pointwiseInitializer=Qt(this.pointwiseInitializer),t.depthwiseRegularizer=Vt(this.depthwiseRegularizer),t.pointwiseRegularizer=Vt(this.pointwiseRegularizer),t.depthwiseConstraint=de(this.depthwiseConstraint),t.pointwiseConstraint=de(this.pointwiseConstraint),t}}zb.className="SeparableConv";class Vb extends zb{constructor(t){super(2,t)}}Vb.className="SeparableConv2D",U(Vb);class ll extends rr{constructor(t){super(1,t),ll.verifyArgs(t),this.inputSpec=[{ndim:3}]}getConfig(){const t=super.getConfig();return delete t.rank,delete t.dataFormat,t}static verifyArgs(t){if(typeof t.kernelSize!="number"&&!Nh(t.kernelSize,"number",1,1))throw new G(`Conv1D expects config.kernelSize to be number or number[] with length 1, but received ${JSON.stringify(t.kernelSize)}.`)}}ll.className="Conv1D",U(ll);class Eb extends wt{constructor(t){super(t),typeof t.cropping=="number"?this.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:typeof t.cropping[0]=="number"?this.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:this.cropping=t.cropping,this.dataFormat=t.dataFormat===void 0?"channelsLast":t.dataFormat,this.inputSpec=[{ndim:4}]}computeOutputShape(t){return this.dataFormat==="channelsFirst"?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]}call(t,e){return X(()=>{if(t=mt(t),this.dataFormat==="channelsLast"){const s=Uc(t,this.cropping[0][0],t.shape[1]-this.cropping[0][0]-this.cropping[0][1],2);return Uc(s,this.cropping[1][0],t.shape[2]-this.cropping[1][1]-this.cropping[1][0],3)}else{const s=Uc(t,this.cropping[0][0],t.shape[2]-this.cropping[0][0]-this.cropping[0][1],3);return Uc(s,this.cropping[1][0],t.shape[3]-this.cropping[1][1]-this.cropping[1][0],4)}})}getConfig(){const t={cropping:this.cropping,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}Eb.className="Cropping2D",U(Eb);class Kb extends wt{constructor(t){super(t),this.DEFAULT_SIZE=[2,2],this.inputSpec=[{ndim:4}],this.size=t.size==null?this.DEFAULT_SIZE:t.size,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,se(this.dataFormat),this.interpolation=t.interpolation==null?"nearest":t.interpolation,nG(this.interpolation)}computeOutputShape(t){if(this.dataFormat==="channelsFirst"){const e=t[2]==null?null:this.size[0]*t[2],s=t[3]==null?null:this.size[1]*t[3];return[t[0],t[1],e,s]}else{const e=t[1]==null?null:this.size[0]*t[1],s=t[2]==null?null:this.size[1]*t[2];return[t[0],e,s,t[3]]}}call(t,e){return X(()=>{let s=mt(t);const o=s.shape;if(this.dataFormat==="channelsFirst"){s=kt(s,[0,2,3,1]);const r=this.size[0]*o[2],i=this.size[1]*o[3],a=this.interpolation==="nearest"?is.resizeNearestNeighbor(s,[r,i]):is.resizeBilinear(s,[r,i]);return kt(a,[0,3,1,2])}else{const r=this.size[0]*o[1],i=this.size[1]*o[2];return this.interpolation==="nearest"?is.resizeNearestNeighbor(s,[r,i]):is.resizeBilinear(s,[r,i])}})}getConfig(){const t={size:this.size,dataFormat:this.dataFormat,interpolation:this.interpolation},e=super.getConfig();return Object.assign(t,e),t}}Kb.className="UpSampling2D",U(Kb);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function TL(n,t,e=[1,1],s="valid",o,r){return X(()=>{o==null&&(o=Ln()),se(o);let i=np(n,o);if(n.rank!==4)throw new G(`Input for depthwiseConv2d is required to be 4-D, but is instead ${n.rank}-D`);if(t.rank!==4)throw new G(`depthwiseKernel is required to be 4-D, but is instead ${t.rank}-D`);return i=Id(i,t,e,s==="same"?"same":"valid","NHWC",r),o==="channelsFirst"&&(i=kt(i,[0,3,1,2])),i})}class Zb extends cl{constructor(t){super(2,t),this.depthwiseKernel=null,this.depthMultiplier=t.depthMultiplier==null?1:t.depthMultiplier,this.depthwiseInitializer=Bt(t.depthwiseInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.depthwiseConstraint=he(t.depthwiseConstraint),this.depthwiseRegularizer=Ut(t.depthwiseRegularizer)}build(t){if(t=Nt(t),t.length<4)throw new G(`Inputs to DepthwiseConv2D should have rank 4. Received input shape: ${JSON.stringify(t)}.`);const e=this.dataFormat==="channelsFirst"?1:3;if(t[e]==null||t[e]<0)throw new G(`The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not (${t[e]}).`);const s=t[e],o=[this.kernelSize[0],this.kernelSize[1],s,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",o,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[s*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return X(()=>{t=mt(t);let s=TL(t,this.depthwiseKernel.read(),this.strides,this.padding,this.dataFormat,null);return this.useBias&&(s=$n(s,this.bias.read(),this.dataFormat)),this.activation!=null&&(s=this.activation.apply(s)),s})}computeOutputShape(t){t=Nt(t);const e=this.dataFormat==="channelsFirst"?t[2]:t[1],s=this.dataFormat==="channelsFirst"?t[3]:t[2],o=this.dataFormat==="channelsFirst"?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,r=Mn(e,this.kernelSize[0],this.padding,this.strides[0]),i=Mn(s,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[t[0],o,r,i]:[t[0],r,i,o]}getConfig(){const t=super.getConfig();return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=Qt(this.depthwiseInitializer),t.depthwiseRegularizer=Vt(this.depthwiseRegularizer),t.depthwiseConstraint=de(this.depthwiseRegularizer),t}}Zb.className="DepthwiseConv2D",U(Zb);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function Fb(n,t,e,s){if(Array.isArray(n)){if(t!=null||e!=null)throw new G("When inputs is an array, neither initialState or constants should be provided");s!=null&&(e=n.slice(n.length-s,n.length),n=n.slice(0,n.length-s)),n.length>1&&(t=n.slice(1,n.length)),n=n[0]}function o(r){return r==null||Array.isArray(r)?r:[r]}return t=o(t),e=o(e),{inputs:n,initialState:t,constants:e}}function Db(n,t,e,s=!1,o,r,i=!1,a=!1){return X(()=>{const c=t.shape.length;if(c<3)throw new G(`Input should be at least 3D, but is ${c}D.`);const l=[1,0].concat(Gn(2,c));t=kt(t,l),i&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),o!=null&&(o=st(st(o,"bool"),"float32"),o.rank===c-1&&(o=De(o,-1)),o=kt(o,l)),s&&(t=co(t,0),o!=null&&(o=co(o,0)));const u=[];let d,h=e;const p=t.shape[0],f=uo(t);let m;o!=null&&(m=uo(o));for(let b=0;bn(x,h));if(o==null)d=C[0],h=C[1];else{const y=X(()=>{const I=m[b],w=pt(fn(I),I),k=Q(L(C[0],I),L(h[0],w)),v=h.map((T,R)=>Q(L(C[1][R],I),L(T,w)));return{output:k,newStates:v}});d=y.output,h=y.newStates}a&&u.push(d)}let g;return a&&(g=Pn(u,1)),[d,g,h]})}class Xs extends wt{constructor(t){super(t);let e;if(t.cell==null)throw new G("cell property is missing for the constructor of RNN.");if(Array.isArray(t.cell)?e=new rp({cells:t.cell}):e=t.cell,e.stateSize==null)throw new G("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");this.cell=e,this.returnSequences=t.returnSequences==null?!1:t.returnSequences,this.returnState=t.returnState==null?!1:t.returnState,this.goBackwards=t.goBackwards==null?!1:t.goBackwards,this._stateful=t.stateful==null?!1:t.stateful,this.unroll=t.unroll==null?!1:t.unroll,this.supportsMasking=!0,this.inputSpec=[new ue({ndim:3})],this.stateSpec=null,this.states_=null,this.numConstants=null,this.keptStates=[]}getStates(){if(this.states_==null){const t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return Gn(0,t).map(e=>null)}else return this.states_}setStates(t){this.states_=t}computeOutputShape(t){Fh(t)&&(t=t[0]),t=t;let e=this.cell.stateSize;Array.isArray(e)||(e=[e]);const s=e[0];let o;if(this.returnSequences?o=[t[0],t[1],s]:o=[t[0],s],this.returnState){const r=[];for(const i of e)r.push([t[0],i]);return[o].concat(r)}else return o}computeMask(t,e){return X(()=>{Array.isArray(e)&&(e=e[0]);const s=this.returnSequences?e:null;if(this.returnState){const o=this.states.map(r=>null);return[s].concat(o)}else return s})}get states(){if(this.states_==null){const t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[];for(let s=0;si.shape[i.shape.length-1]),r))throw new G(`An initialState was passed that is not compatible with cell.stateSize. Received stateSpec=${this.stateSpec}; However cell.stateSize is ${this.cell.stateSize}`)}else this.stateSpec=r.map(i=>new ue({shape:[null,i]}));this.stateful&&this.resetStates()}resetStates(t,e=!1){X(()=>{if(!this.stateful)throw new An("Cannot call resetStates() on an RNN Layer that is not stateful.");const s=this.inputSpec[0].shape[0];if(s==null)throw new G("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.states_==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>be([s,o])):this.states_=[be([s,this.cell.stateSize])];else if(t==null)St(this.states_),this.keptStates!=null&&(St(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(o=>be([s,o])):this.states_[0]=be([s,this.cell.stateSize]);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new G(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e===!0?this.keptStates.push(this.states_.slice()):St(this.states_);for(let o=0;oen(o.clone()))})}apply(t,e){let s=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});const r=Fb(t,s,o,this.numConstants);t=r.inputs,s=r.initialState,o=r.constants;let i=[],a=[];if(s!=null){e.initialState=s,i=i.concat(s),this.stateSpec=[];for(const l of s)this.stateSpec.push(new ue({shape:l.shape}));a=a.concat(this.stateSpec)}if(o!=null&&(e.constants=o,i=i.concat(o),this.numConstants=o.length),i[0]instanceof _n){const l=[t].concat(i),u=this.inputSpec.concat(a),d=this.inputSpec;this.inputSpec=u;const h=super.apply(l,e);return this.inputSpec=d,h}else return super.apply(t,e)}call(t,e){return X(()=>{const s=e==null?null:e.mask,o=e==null?null:e.training;let r=e==null?null:e.initialState;t=mt(t),r==null&&(this.stateful?r=this.states_:r=this.getInitialState(t));const i=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;if(r.length!==i)throw new G(`RNN Layer has ${i} state(s) but was passed ${r.length} initial state(s).`);this.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");const a={training:o},l=Db((f,m)=>{const g=this.cell.call([f].concat(m),a);return[g[0],g.slice(1)]},t,r,this.goBackwards,s,null,this.unroll,this.returnSequences),u=l[0],d=l[1],h=l[2];this.stateful&&this.resetStates(h,o);const p=this.returnSequences?d:u;return this.returnState?[p].concat(h):p})}getInitialState(t){return X(()=>{let e=be(t.shape);return e=ut(e,[1,2]),e=Di(e),Array.isArray(this.cell.stateSize)?this.cell.stateSize.map(s=>s>1?$h(e,[1,s]):e):this.cell.stateSize>1?[$h(e,[1,this.cell.stateSize])]:[e]})}get trainableWeights(){return this.trainable?this.cell.trainableWeights:[]}get nonTrainableWeights(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(t)}getConfig(){const t=super.getConfig(),e={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(e.numConstants=this.numConstants);const s=this.cell.getConfig();return this.getClassName()===Xs.className&&(e.cell={className:this.cell.getClassName(),config:s}),Object.assign(Object.assign(Object.assign({},s),t),e)}static fromConfig(t,e,s={}){const o=e.cell,r=us(o,s);return new t(Object.assign(e,{cell:r}))}}Xs.className="RNN",U(Xs);class ul extends wt{}class sp extends ul{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,xe(this.units,"units"),this.activation=Ws(t.activation==null?this.DEFAULT_ACTIVATION:t.activation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=Bt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Bt(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Bt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Ut(t.kernelRegularizer),this.recurrentRegularizer=Ut(t.recurrentRegularizer),this.biasRegularizer=Ut(t.biasRegularizer),this.kernelConstraint=he(t.kernelConstraint),this.recurrentConstraint=he(t.recurrentConstraint),this.biasConstraint=he(t.biasConstraint),this.dropout=nr([1,Gs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=nr([1,Gs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Nt(t),this.kernel=this.addWeight("kernel",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return X(()=>{if(t=t,t.length!==2)throw new G(`SimpleRNNCell expects 2 input Tensors, got ${t.length}.`);let s=t[1];t=t[0];const o=e.training==null?!1:e.training;0fn(t),rate:this.dropout,training:o,dropoutFunc:this.dropoutFunc})),0fn(s),rate:this.recurrentDropout,training:o,dropoutFunc:this.dropoutFunc}));let r;const i=this.dropoutMask,a=this.recurrentDropoutMask;i!=null?r=Un(L(t,i),this.kernel.read()):r=Un(t,this.kernel.read()),this.bias!=null&&(r=$n(r,this.bias.read())),a!=null&&(s=L(s,a));let c=Q(r,Un(s,this.recurrentKernel.read()));return this.activation!=null&&(c=this.activation.apply(c)),[c,c]})}getConfig(){const t=super.getConfig(),e={units:this.units,activation:$s(this.activation),useBias:this.useBias,kernelInitializer:Qt(this.kernelInitializer),recurrentInitializer:Qt(this.recurrentInitializer),biasInitializer:Qt(this.biasInitializer),kernelRegularizer:Vt(this.kernelRegularizer),recurrentRegularizer:Vt(this.recurrentRegularizer),biasRegularizer:Vt(this.biasRegularizer),activityRegularizer:Vt(this.activityRegularizer),kernelConstraint:de(this.kernelConstraint),recurrentConstraint:de(this.recurrentConstraint),biasConstraint:de(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign(Object.assign({},t),e)}}sp.className="SimpleRNNCell",U(sp);class Pb extends Xs{constructor(t){t.cell=new sp(t),super(t)}call(t,e){return X(()=>{this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const s=e==null?null:e.mask,o=e==null?null:e.training,r=e==null?null:e.initialState;return super.call(t,{mask:s,training:o,initialState:r})})}static fromConfig(t,e){return new t(e)}}Pb.className="SimpleRNN",U(Pb);class op extends ul{constructor(t){if(super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",t.resetAfter)throw new G("GRUCell does not support reset_after parameter set to true.");this.units=t.units,xe(this.units,"units"),this.activation=Ws(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Ws(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=Bt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Bt(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Bt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelRegularizer=Ut(t.kernelRegularizer),this.recurrentRegularizer=Ut(t.recurrentRegularizer),this.biasRegularizer=Ut(t.biasRegularizer),this.kernelConstraint=he(t.kernelConstraint),this.recurrentConstraint=he(t.recurrentConstraint),this.biasConstraint=he(t.biasConstraint),this.dropout=nr([1,Gs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=nr([1,Gs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=this.units,this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){t=Nt(t);const e=t[t.length-1];this.kernel=this.addWeight("kernel",[e,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0}call(t,e){return X(()=>{if(t=t,t.length!==2)throw new G(`GRUCell expects 2 input Tensors (inputs, h, c), got ${t.length}.`);const s=e.training==null?!1:e.training;let o=t[1];t=t[0],0fn(t),rate:this.dropout,training:s,count:3,dropoutFunc:this.dropoutFunc})),0fn(o),rate:this.recurrentDropout,training:s,count:3,dropoutFunc:this.dropoutFunc}));const r=this.dropoutMask,i=this.recurrentDropoutMask;let a,c,l;0{this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const s=e==null?null:e.mask,o=e==null?null:e.training,r=e==null?null:e.initialState;return super.call(t,{mask:s,training:o,initialState:r})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}}Ob.className="GRU",U(Ob);class dl extends ul{constructor(t){super(t),this.DEFAULT_ACTIVATION="tanh",this.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_RECURRENT_INITIALIZER="orthogonal",this.DEFAULT_BIAS_INITIALIZER="zeros",this.units=t.units,xe(this.units,"units"),this.activation=Ws(t.activation===void 0?this.DEFAULT_ACTIVATION:t.activation),this.recurrentActivation=Ws(t.recurrentActivation===void 0?this.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),this.useBias=t.useBias==null?!0:t.useBias,this.kernelInitializer=Bt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.recurrentInitializer=Bt(t.recurrentInitializer||this.DEFAULT_RECURRENT_INITIALIZER),this.biasInitializer=Bt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.unitForgetBias=t.unitForgetBias,this.kernelRegularizer=Ut(t.kernelRegularizer),this.recurrentRegularizer=Ut(t.recurrentRegularizer),this.biasRegularizer=Ut(t.biasRegularizer),this.kernelConstraint=he(t.kernelConstraint),this.recurrentConstraint=he(t.recurrentConstraint),this.biasConstraint=he(t.biasConstraint),this.dropout=nr([1,Gs([0,t.dropout==null?0:t.dropout])]),this.recurrentDropout=nr([1,Gs([0,t.recurrentDropout==null?0:t.recurrentDropout])]),this.dropoutFunc=t.dropoutFunc,this.implementation=t.implementation,this.stateSize=[this.units,this.units],this.dropoutMask=null,this.recurrentDropoutMask=null}build(t){var e;t=Nt(t);const s=t[t.length-1];this.kernel=this.addWeight("kernel",[s,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);let o;if(this.useBias){if(this.unitForgetBias){const r=this.biasInitializer,i=this.units;o=new(e=class extends xn{apply(c,l){const u=r.apply([i]),d=new Xh().apply([i]),h=r.apply([i*2]);return g0(g0(u,d),h)}},e.className="CustomInit",e)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,o,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0}call(t,e){return X(()=>{const s=e.training==null?!1:e.training;if(t=t,t.length!==3)throw new G(`LSTMCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);let o=t[1];const r=t[2];t=t[0],0fn(t),rate:this.dropout,training:s,count:4,dropoutFunc:this.dropoutFunc})),0fn(o),rate:this.recurrentDropout,training:s,count:4,dropoutFunc:this.dropoutFunc}));const i=this.dropoutMask,a=this.recurrentDropoutMask;let c,l,u,d;0{this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null);const s=e==null?null:e.mask,o=e==null?null:e.training,r=e==null?null:e.initialState;return super.call(t,{mask:s,training:o,initialState:r})})}static fromConfig(t,e){return e.implmentation===0&&(e.implementation=1),new t(e)}}Ab.className="LSTM",U(Ab);class rp extends ul{constructor(t){super(t),this.cells=t.cells}get stateSize(){const t=[];for(const e of this.cells.slice().reverse())Array.isArray(e.stateSize)?t.push(...e.stateSize):t.push(e.stateSize);return t}call(t,e){return X(()=>{t=t;let s=t.slice(1);const o=[];for(const a of this.cells.slice().reverse())Array.isArray(a.stateSize)?o.push(s.splice(0,a.stateSize.length)):o.push(s.splice(0,1));o.reverse();const r=[];let i;for(let a=0;a{bo(`RNNCell_${o}`,()=>{s.build(t),Array.isArray(s.stateSize)?e=s.stateSize[0]:e=s.stateSize,t=[t[0],e]})}),this.built=!0}getConfig(){const t=super.getConfig(),e=r=>({className:r.getClassName(),config:r.getConfig()}),o={cells:this.cells.map(e)};return Object.assign(Object.assign({},t),o)}static fromConfig(t,e,s={}){const o=[];for(const r of e.cells)o.push(us(r,s));return new t({cells:o})}get trainableWeights(){if(!this.trainable)return[];const t=[];for(const e of this.cells)t.push(...e.trainableWeights);return t}get nonTrainableWeights(){const t=[];for(const e of this.cells)t.push(...e.nonTrainableWeights);if(!this.trainable){const e=[];for(const s of this.cells)e.push(...s.trainableWeights);return e.concat(t)}return t}getWeights(){const t=[];for(const e of this.cells)t.push(...e.weights);return Dh(t)}setWeights(t){const e=[];for(const s of this.cells){const o=s.weights.length,r=t.splice(o);for(let i=0;ir!=null?r(t(),e):x0(t(),e),a=()=>Oi(i,t,s);return!o||o<=1?en(a().clone()):Array(o).fill(void 0).map(a).map(l=>en(l.clone()))}/** * @license * Copyright 2020 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */var NL=function(n,t){var e={};for(var s in n)Object.prototype.hasOwnProperty.call(n,s)&&t.indexOf(s)<0&&(e[s]=n[s]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var o=0,s=Object.getOwnPropertySymbols(n);o{if(this.cell.dropoutMask!=null&&(St(this.cell.dropoutMask),this.cell.dropoutMask=null),this.cell.recurrentDropoutMask!=null&&(St(this.cell.recurrentDropoutMask),this.cell.recurrentDropoutMask=null),e&&e.constants)throw new G("ConvRNN2D cell does not support constants");const s=e==null?null:e.mask,o=e==null?null:e.training,r=e==null?null:e.initialState;return super.call(t,{mask:s,training:o,initialState:r})})}computeOutputShape(t){let e=this.computeSingleOutputShape(t);return this.returnSequences||(e=[e[0],...e.slice(2)]),this.returnState&&(e=[e,...Array(2).fill([t[0],...e.slice(-3)])]),e}getInitialState(t){return X(()=>{const{stateSize:e}=this.cell,s=t.shape,o=this.computeSingleOutputShape(s),r=[o[0],...o.slice(2)],i=be(r);return Array.isArray(e)?Array(e.length).fill(i):[i]})}resetStates(t,e=!1){X(()=>{if(!this.stateful)throw new An("Cannot call resetStates() on an RNN Layer that is not stateful.");const s=this.inputSpec[0].shape,o=this.computeSingleOutputShape(s),r=[o[0],...o.slice(2)];if(s[0]==null)throw new G("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(this.getStates()==null)Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>be(r)):this.states_=[be(r)];else if(t==null)St(this.states_),this.keptStates!=null&&(St(this.keptStates),this.keptStates=[]),Array.isArray(this.cell.stateSize)?this.states_=this.cell.stateSize.map(()=>be(r)):this.states_[0]=be(r);else{if(Array.isArray(t)||(t=[t]),t.length!==this.states_.length)throw new G(`Layer ${this.name} expects ${this.states_.length} state(s), but it received ${t.length} state value(s). Input received: ${t}`);e?this.keptStates.push(this.states_.slice()):St(this.states_);for(let a=0;aen(a.clone()))})}computeSingleOutputShape(t){const{dataFormat:e,filters:s,kernelSize:o,padding:r,strides:i,dilationRate:a}=this.cell,c=e==="channelsFirst",l=t[c?3:2],u=t[c?4:3],d=Mn(l,o[0],r,i[0],a[0]),h=Mn(u,o[1],r,i[1],a[1]);return[...t.slice(0,2),...c?[s,d,h]:[d,h,s]]}}Hb.className="ConvRNN2D";class ip extends dl{constructor(t){const{filters:e,kernelSize:s,strides:o,padding:r,dataFormat:i,dilationRate:a}=t;super(Object.assign(Object.assign({},t),{units:e})),this.filters=e,xe(this.filters,"filters"),this.kernelSize=or(s,2,"kernelSize"),this.kernelSize.forEach(c=>xe(c,"kernelSize")),this.strides=or(o||1,2,"strides"),this.strides.forEach(c=>xe(c,"strides")),this.padding=r||"valid",rn(this.padding),this.dataFormat=i||"channelsLast",se(this.dataFormat),this.dilationRate=or(a||1,2,"dilationRate"),this.dilationRate.forEach(c=>xe(c,"dilationRate"))}build(t){var e;t=Nt(t);const s=this.dataFormat==="channelsFirst"?1:t.length-1;if(t[s]==null)throw new G(`The channel dimension of the input should be defined. Found ${t[s]}`);const o=t[s],r=4,i=this.kernelSize.concat([o,this.filters*r]);this.kernel=this.addWeight("kernel",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);const a=this.kernelSize.concat([this.filters,this.filters*r]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",a,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){let c;if(this.unitForgetBias){const l=this.biasInitializer,u=this.filters;c=new(e=class extends xn{apply(h,p){const f=l.apply([u]),m=ks([u]),g=l.apply([u*2]);return Lh([f,m,g])}},e.className="CustomInit",e)}else c=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*r],null,c,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}call(t,e){return X(()=>{if(t.length!==3)throw new G(`ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got ${t.length}.`);const s=e.training||!1,o=t[0],r=t[1],i=t[2],a=4;0fn(o),rate:this.dropout,training:s,count:a,dropoutFunc:this.dropoutFunc}));const c=this.dropoutMask,l=(_,Y,j)=>!Y||!Y[j]?_:L(Y[j],_);let u=l(o,c,0),d=l(o,c,1),h=l(o,c,2),p=l(o,c,3);0fn(r),rate:this.recurrentDropout,training:s,count:a,dropoutFunc:this.dropoutFunc}));const f=this.recurrentDropoutMask;let m=l(r,f,0),g=l(r,f,1),b=l(r,f,2),x=l(r,f,3);const C=3,[y,I,w,k]=on(this.kernel.read(),a,C),[v,T,R,W]=this.useBias?on(this.bias.read(),a):[null,null,null,null];u=this.inputConv(u,y,v,this.padding),d=this.inputConv(d,I,T,this.padding),h=this.inputConv(h,w,R,this.padding),p=this.inputConv(p,k,W,this.padding);const[E,K,Z,F]=on(this.recurrentKernel.read(),a,C);m=this.recurrentConv(m,E),g=this.recurrentConv(g,K),b=this.recurrentConv(b,Z),x=this.recurrentConv(x,F);const D=this.recurrentActivation.apply(Q(u,m)),H=this.recurrentActivation.apply(Q(d,g)),O=Q(L(H,i),L(D,this.activation.apply(Q(h,b)))),B=L(this.recurrentActivation.apply(Q(p,x)),this.activation.apply(O));return[B,B,O]})}getConfig(){const t=super.getConfig(),{units:e}=t,s=NL(t,["units"]),o={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign(Object.assign({},s),o)}inputConv(t,e,s,o){const r=so(t,e,this.strides,o||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return s?$n(r,s,this.dataFormat):r}recurrentConv(t,e){return so(t,e,1,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")}}ip.className="ConvLSTM2DCell",U(ip);class Bb extends Hb{constructor(t){const e=new ip(t);super(Object.assign(Object.assign({},t),{cell:e}))}static fromConfig(t,e){return new t(e)}}Bb.className="ConvLSTM2D",U(Bb);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class ap extends wt{constructor(t){super(t),this.rate=Math.max(Math.min(t.rate,1),0),this.noiseShape=t.noiseShape,this.seed=t.seed,this.supportsMasking=!0}getNoiseShape(t){if(this.noiseShape==null)return this.noiseShape;const e=t.shape,s=[];for(let o=0;o{this.invokeCallHook(t,e);const s=mt(t);if(0x0(s,this.rate,r,this.seed),()=>s,o)}return t})}getConfig(){const t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},e=super.getConfig();return Object.assign(t,e),t}dispose(){return super.dispose()}}ap.className="Dropout",U(ap);class Ub extends ap{constructor(t){super(t),this.inputSpec=[{ndim:3}]}getNoiseShape(t){const e=t.shape;return[e[0],1,e[2]]}}Ub.className="SpatialDropout1D",U(Ub);class _b extends wt{constructor(t){if(super(t),this.activation=null,this.useBias=!0,this.kernel=null,this.bias=null,this.DEFAULT_KERNEL_INITIALIZER="glorotNormal",this.DEFAULT_BIAS_INITIALIZER="zeros",t.batchInputShape==null&&t.inputShape==null&&t.inputDim!=null){let e=null;t.batchSize!=null&&(e=t.batchSize),this.batchInputShape=[e,t.inputDim]}this.units=t.units,xe(this.units,"units"),this.activation=Ws(t.activation),t.useBias!=null&&(this.useBias=t.useBias),this.kernelInitializer=Bt(t.kernelInitializer||this.DEFAULT_KERNEL_INITIALIZER),this.biasInitializer=Bt(t.biasInitializer||this.DEFAULT_BIAS_INITIALIZER),this.kernelConstraint=he(t.kernelConstraint),this.biasConstraint=he(t.biasConstraint),this.kernelRegularizer=Ut(t.kernelRegularizer),this.biasRegularizer=Ut(t.biasRegularizer),this.activityRegularizer=Ut(t.activityRegularizer),this.supportsMasking=!0,this.inputSpec=[{minNDim:2}]}build(t){t=Nt(t);const e=t[t.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[e,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:{[-1]:e}}],this.built=!0}computeOutputShape(t){t=Nt(t);const e=t.slice();return e[e.length-1]=this.units,e}call(t,e){return X(()=>{this.invokeCallHook(t,e);const s=mt(t),o=l0(this.activation.getClassName());let r;return o!=null?r=Un(s,this.kernel.read(),o,this.bias?this.bias.read():null):(r=Un(s,this.kernel.read()),this.bias!=null&&(r=$n(r,this.bias.read())),this.activation!=null&&(r=this.activation.apply(r))),r})}getConfig(){const t={units:this.units,activation:$s(this.activation),useBias:this.useBias,kernelInitializer:Qt(this.kernelInitializer),biasInitializer:Qt(this.biasInitializer),kernelRegularizer:Vt(this.kernelRegularizer),biasRegularizer:Vt(this.biasRegularizer),activityRegularizer:Vt(this.activityRegularizer),kernelConstraint:de(this.kernelConstraint),biasConstraint:de(this.biasConstraint)},e=super.getConfig();return Object.assign(t,e),t}}_b.className="Dense",U(_b);class Yb extends wt{constructor(t){t=t||{},super(t),this.inputSpec=[{minNDim:3}],this.dataFormat=t.dataFormat}computeOutputShape(t){t=Nt(t);for(const e of t.slice(1))if(e==null)throw new G(`The shape of the input to "Flatten" is not fully defined (got ${t.slice(1)}). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.`);return[t[0],Rs(t,1)]}call(t,e){return X(()=>{this.invokeCallHook(t,e);let s=mt(t);if(this.dataFormat==="channelsFirst"&&s.rank>1){const o=[0];for(let r=2;r{this.invokeCallHook(t,e);const s=mt(t);return this.activation.apply(s)})}getConfig(){const t={activation:$s(this.activation)},e=super.getConfig();return Object.assign(t,e),t}}Qb.className="Activation",U(Qb);class Jb extends wt{constructor(t){super(t),this.n=t.n,this.inputSpec=[{ndim:2}]}computeOutputShape(t){return[t[0],this.n,t[1]]}call(t,e){return X(()=>(t=mt(t),iG(t,this.n)))}getConfig(){const t={n:this.n},e=super.getConfig();return Object.assign(t,e),t}}Jb.className="RepeatVector",U(Jb);class jb extends wt{constructor(t){super(t),this.targetShape=t.targetShape;for(let e=0;e{this.invokeCallHook(t,e);const s=mt(t),o=s.shape,r=o.slice(0,1).concat(this.fixUnknownDimension(o.slice(1),this.targetShape));return z(s,r)})}getConfig(){const t={targetShape:this.targetShape},e=super.getConfig();return Object.assign(t,e),t}}jb.className="Reshape",U(jb);class qb extends wt{constructor(t){if(super(t),t.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error(`Permute constructor requires \`dims\` to be an Array, but received ${t.dims} instead.`);const e=Gn(1,t.dims.length+1);if(!Rt(t.dims.slice().sort(),e))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");this.dims=t.dims,this.dimsIncludingBatch=[0].concat(this.dims),this.inputSpec=[new ue({ndim:this.dims.length+1})]}computeOutputShape(t){t=Nt(t);const e=t.slice();return this.dims.forEach((s,o)=>{e[o+1]=t[s]}),e}call(t,e){return kt(mt(t),this.dimsIncludingBatch)}getConfig(){const t={dims:this.dims},e=super.getConfig();return Object.assign(t,e),t}}qb.className="Permute",U(qb);class tx extends wt{constructor(t){super(t??{}),this.supportsMasking=!0,t!=null?this.maskValue=t.maskValue==null?0:t.maskValue:this.maskValue=0}computeOutputShape(t){return t}getConfig(){const t=super.getConfig(),e={maskValue:this.maskValue};return Object.assign(e,t),e}computeMask(t,e){const s=mt(t);return pd(Ec(s,this.maskValue),-1)}call(t,e){return X(()=>{this.invokeCallHook(t,e);const s=mt(t),i=pd(Ec(s,this.maskValue),-1,!0);return L(s,st(i,s.dtype))})}}tx.className="Masking",U(tx);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class ex extends wt{constructor(t){if(super(t),this.embeddings=null,this.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",t.batchInputShape==null&&t.inputShape==null){let e=null;t.batchSize!=null&&(e=t.batchSize),t.inputLength==null?this.batchInputShape=[e,null]:this.batchInputShape=[e].concat($t(t.inputLength))}this.inputDim=t.inputDim,xe(this.inputDim,"inputDim"),this.outputDim=t.outputDim,xe(this.outputDim,"outputDim"),this.embeddingsInitializer=Bt(t.embeddingsInitializer||this.DEFAULT_EMBEDDINGS_INITIALIZER),this.embeddingsRegularizer=Ut(t.embeddingsRegularizer),this.activityRegularizer=Ut(t.activityRegularizer),this.embeddingsConstraint=he(t.embeddingsConstraint),this.maskZero=t.maskZero,this.supportsMasking=t.maskZero,this.inputLength=t.inputLength}build(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}warnOnIncompatibleInputShape(t){}computeMask(t,e){return X(()=>this.maskZero?(t=mt(t),Ec(t,vt(t))):null)}computeOutputShape(t){if(t=Nt(t),this.inputLength==null)return[...t,this.outputDim];const e=$t(this.inputLength);if(e.length!==t.length-1)throw new G(`"inputLength" is ${this.inputLength}, but received input shape has shape ${t}`);{let s=0;for(let o=0;o{this.invokeCallHook(t,e);let s=mt(t);s.dtype!=="int32"&&(s=Bn(s,"int32"));const o=b0(this.embeddings.read(),z(s,[s.size]));return z(o,Nt(this.computeOutputShape(s.shape)))})}getConfig(){const t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:Qt(this.embeddingsInitializer),embeddingsRegularizer:Vt(this.embeddingsRegularizer),activityRegularizer:Vt(this.activityRegularizer),embeddingsConstraint:de(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},e=super.getConfig();return Object.assign(t,e),t}}ex.className="Embedding",U(ex);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class Co extends wt{constructor(t){super(t||{}),this.supportsMasking=!0}mergeFunction(t){throw new bt}computeElementwiseOpOutputShape(t,e){if(t==null||e==null)return null;if(t.length1)throw new G(`Can not merge tensors with different batch sizes. Got tensors with shapes: ${JSON.stringify(t)}.`);let s=t[0]==null?null:t[0].slice(1);for(let r=1;rr.length);t.indexOf(null)===-1&&Ns(o).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0}call(t,e){return X(()=>{if(t=t,this.reshapeRequired){const s=[],o=t.map(r=>r.rank);if(o.indexOf(null)===-1){const r=Gs(o);for(let i of t){const a=i.rank;for(let c=0;c1){const u=Gn(1,l).concat([0]);s.push(kt(c,u)),r=!0}else s.push(c)}let i=this.mergeFunction(s);const a=i.rank;if(r){if(a==null){const c=i.shape,l=c.length,u=c[l-1],d=[u].concat(c.slice(0,c.length-1));i=z(kt(z(i,[-1,u]),[1,0]),d)}else if(a>1){const c=[a-1].concat(Gn(0,a-1));i=kt(i,c)}}return i}}else return this.mergeFunction(t)})}computeOutputShape(t){t=t;let e;t[0]==null?e=null:e=t[0].slice(1);for(let o=1;o{if(e==null)return null;if(!Array.isArray(e))throw new G("`mask` should be an Array");if(!Array.isArray(t))throw new G("`inputs` should be an Array");if(e.length!==t.length)throw new G(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${t.length} vs ${e.length})`);if(e.every(o=>o==null))return null;e=e.map(o=>o==null?o:De(o,0));let s=e[0];for(let o=1;o{let e=t[0].clone();for(let s=1;s{let e=t[0].clone();for(let s=1;s{let e=t[0].clone();for(let s=1;s{let e=t[0];for(let s=1;s{let e=t[0];for(let s=1;s1)throw new G("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(t))}mergeFunction(t){return X(()=>Lh(t,this.axis))}computeOutputShape(t){if(!(Array.isArray(t)&&Array.isArray(t[0])))throw new G("A `Concatenate` layer should be called on a list of inputs.");const e=t,s=e[0].slice(),o=this.axis<0?s.length+this.axis:this.axis;for(const r of e.slice(1)){if(s[o]==null||r[o]==null){s[o]=null;break}s[o]+=r[o]}return s}computeMask(t,e){if(e==null)return null;if(!Array.isArray(e))throw new G("`mask` should be an array for Concatenate");if(!Array.isArray(t))throw new G("`inputs` should be an array for Concatenate");if(e.length!==t.length)throw new G(`Mismatch in the length of mask (${e.length}) and the legnth of inputs (${t.length})`);return X(()=>{let s=!0;if(e.forEach(i=>{if(i!=null){s=!1;return}}),s)return null;const o=[];for(let i=0;i3||t.shape.length>3)throw new bt("batchDot is not implemented for tensors of 4D or higher rank yet");if(S(n.shape.length>=2,()=>`batchDot requires the rank of x to be >= 2, but got ${n.shape.length}`),S(n.shape.length>=2,()=>`batchDot requires the rank of y to be >= 2, but got ${t.shape.length}`),typeof e=="number"&&(e=[e,e]),n.dtype==="complex64"||t.dtype==="complex64")throw new bt("batchDot is not implemented for complex64-type Tensors yet.");const s=n.shape.length,o=t.shape.length;e==null&&(e=[s-1,o-2]);const r=e;return X(()=>{let i;if(s>o){i=s-o;const c=[];for(let l=0;ls){i=o-s;const c=[];for(let l=0;l0){let c;s>o?c=s+o-3:c=s-1;const l=[];for(let u=c;u"A `Dot` layer should be called on a list of exactly 2 inputs.");const e=t[0],s=t[1];if(e.length>3||s.length>3)throw new bt("Dot layer does not support tensors of 4D or higher rank yet.");const o=this.interpretAxes(e,s);if(e[o[0]]!==s[o[1]])throw new G(`Dimension incompatibility: ${e[o[0]]} !== ${s[o[1]]}`)}mergeFunction(t){if(t.length!==2)throw new G(`A \`Dot\` layer must be called on exactly 2 inputs, but received ${t.length} input(s).`);let e=t[0],s=t[1],o;return Array.isArray(this.axes)?o=this.axes.map((r,i)=>qi(r,t[i].shape.length)):o=[qi(this.axes,e.shape.length),qi(this.axes,s.shape.length)],this.normalize&&(e=tl(e,o[0]),s=tl(s,o[1])),RL(e,s,o)}interpretAxes(t,e){let s;return Array.isArray(this.axes)?s=this.axes:s=[qi(this.axes,t.length),qi(this.axes,e.length)],s}computeOutputShape(t){S(Array.isArray(t)&&t.length===2&&Array.isArray(t[0])&&Array.isArray(t[1]),()=>"A `Dot` layer should be called on a list of exactly 2 inputs.");const e=t[0].slice(),s=t[1].slice();if(e.length>3||s.length>3)throw new bt("Dot layer does not support tensors of 4D or higher rank yet.");const o=this.interpretAxes(e,s);e.splice(o[0],1),s.splice(o[1],1),s.splice(0,1);const r=e.concat(s);return r.length===1&&r.push(1),r}computeMask(t,e){return null}getConfig(){const t={axes:this.axes,normalize:this.normalize},e=super.getConfig();return Object.assign(t,e),t}}cx.className="Dot",U(cx);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class lx extends wt{constructor(t){super(t),this.supportsMasking=!0,this.stddev=t.stddev}computeOutputShape(t){return t}getConfig(){const t=super.getConfig(),e={stddev:this.stddev};return Object.assign(e,t),e}call(t,e){return X(()=>{this.invokeCallHook(t,e);const s=mt(t);return Oi(()=>Q(_c(s.shape,0,this.stddev),s),()=>s,e.training||!1)})}}lx.className="GaussianNoise",U(lx);class ux extends wt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate}computeOutputShape(t){return t}getConfig(){const t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return X(()=>{this.invokeCallHook(t,e);const s=mt(t);return this.rate>0&&this.rate<1?Oi(()=>{const r=Math.sqrt(this.rate/(1-this.rate));return L(s,_c(s.shape,1,r))},()=>s,e.training||!1):s})}}ux.className="GaussianDropout",U(ux);class dx extends wt{constructor(t){super(t),this.supportsMasking=!0,this.rate=t.rate,this.noiseShape=t.noiseShape}_getNoiseShape(t){return this.noiseShape||mt(t).shape}computeOutputShape(t){return t}getConfig(){const t=super.getConfig(),e={rate:this.rate};return Object.assign(e,t),e}call(t,e){return X(()=>{if(this.rate<1&&this.rate>0){const s=this._getNoiseShape(t);return Oi(()=>{const r=mt(t),a=-1.6732632423543772*1.0507009873554805;let c=ro(Wi(s),this.rate);c=Bn(c,"float32");const l=((1-this.rate)*(1+this.rate*a**2))**-.5,u=-l*a*this.rate,d=Q(L(r,c),L(Q(c,-1),a));return Q(L(d,l),u)},()=>mt(t),e.training||!1)}return t})}}dx.className="AlphaDropout",U(dx);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function ta(n,t,e,s,o,r=.001){let i;if(n.rank===2)i=tw(n,t,e,s,o,r);else if(n.rank===3)i=nw(n,t,e,s,o,r);else if(n.rank===4)i=ow(n,t,e,s,o,r);else throw new bt(`batchNormalization is not implemented for array of rank ${n.rank} yet`);return i}function GL(n,t,e,s,o=.001){return X(()=>{const r=Rd(n,s),i=r.mean,a=r.variance;return[ta(n,i,a,e,t,o),i,a]})}function LL(n,t,e,s,o=.001){return X(()=>{const r=Rd(n,s),i=r.mean,a=r.variance,c=[];for(const f of Gn(0,n.rank))s.indexOf(f)!==-1?c.push(1):c.push(n.shape[f]);const l=z(i,c),u=z(a,c),d=t==null?null:z(t,c),h=e==null?null:z(e,c);return[ta(n,l,u,h,d,o),i,a]})}function $L(n,t,e,s,o=.001){return Rt(s.slice().sort(),Gn(0,n.rank-1))?GL(n,t,e,s,o):LL(n,t,e,s,o)}class hx extends wt{constructor(t){t==null&&(t={}),super(t),this.supportsMasking=!0,this.axis=t.axis==null?-1:t.axis,this.momentum=t.momentum==null?.99:t.momentum,this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=Bt(t.betaInitializer||"zeros"),this.gammaInitializer=Bt(t.gammaInitializer||"ones"),this.movingMeanInitializer=Bt(t.movingMeanInitializer||"zeros"),this.movingVarianceInitializer=Bt(t.movingVarianceInitializer||"ones"),this.betaConstraint=he(t.betaConstraint),this.gammaConstraint=he(t.gammaConstraint),this.betaRegularizer=Ut(t.betaRegularizer),this.gammaRegularizer=Ut(t.gammaRegularizer)}build(t){t=Nt(t);const e=this.axis>=0?this.axis:this.axis+t.length,s=t[e];if(s==null)throw new G(`Axis ${e} of input tensor should have a defined dimension but the layer received an input with shape ${JSON.stringify(t)}.`);this.inputSpec=[new ue({ndim:t.length,axes:{[e]:s}})];const o=[s];this.scale&&(this.gamma=this.addWeight("gamma",o,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",o,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",o,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",o,null,this.movingVarianceInitializer,null,!1),this.built=!0}call(t,e){return X(()=>{const s=e.training==null?!1:e.training,o=mt(t),r=o.shape,i=r.length,a=Gn(0,i),c=this.axis>=0?this.axis:this.axis+i;a.splice(c,1);const l=fo(1,i);l[c]=r[c];const u=a.slice();u.sort();const d=!Rt(u,Gn(0,i).slice(0,i-1)),h=()=>{if(d){const x=z(this.movingMean.read(),l),C=z(this.movingVariance.read(),l),y=this.center?z(this.beta.read(),l):null,I=this.scale?z(this.gamma.read(),l):null;return ta(o,x,C,y,I,this.epsilon)}else return ta(o,this.movingMean.read(),this.movingVariance.read(),this.beta==null?null:this.beta.read(),this.gamma==null?null:this.gamma.read(),this.epsilon)};if(!s)return h();const[p,f,m]=$L(o,this.gamma.read(),this.beta.read(),a,this.epsilon),g=(x,C,y)=>{X(()=>{const I=1-y,w=x.read(),k=L(pt(w,C),I);x.write(pt(w,k))})};return(()=>{g(this.movingMean,f,this.momentum),g(this.movingVariance,m,this.momentum)})(),p})}getConfig(){const t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:Qt(this.betaInitializer),gammaInitializer:Qt(this.gammaInitializer),movingMeanInitializer:Qt(this.movingMeanInitializer),movingVarianceInitializer:Qt(this.movingVarianceInitializer),betaRegularizer:Vt(this.betaRegularizer),gammaRegularizer:Vt(this.gammaRegularizer),betaConstraint:de(this.betaConstraint),gammaConstraint:de(this.gammaConstraint)},e=super.getConfig();return Object.assign(t,e),t}}hx.className="BatchNormalization",U(hx);class px extends wt{constructor(t){if(t==null&&(t={}),super(t),this.axis=t.axis==null?-1:t.axis,typeof this.axis=="number"){if(!Number.isInteger(this.axis))throw new Error(`Expected axis to be an integer, but received ${this.axis}`)}else if(Array.isArray(this.axis)){for(const e of this.axis)if(!Number.isInteger(e))throw new Error(`Expected axis to be an array of integers, but received ${JSON.stringify(this.axis)}`)}else throw new Error(`Expected axis to be an integer or an array of integers, but received ${JSON.stringify(this.axis)}`);this.epsilon=t.epsilon==null?.001:t.epsilon,this.center=t.center==null?!0:t.center,this.scale=t.scale==null?!0:t.scale,this.betaInitializer=Bt(t.betaInitializer||"zeros"),this.gammaInitializer=Bt(t.gammaInitializer||"ones"),this.betaRegularizer=Ut(t.betaRegularizer),this.gammaRegularizer=Ut(t.gammaRegularizer),this.supportsMasking=!0}build(t){t=Nt(t);const e=t.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(let r=0;r=e)throw new Error(`Invalid axis: ${r}`);if(this.axis.length!==Ns(this.axis).length)throw new Error(`Found duplicate axes in: ${this.axis}`);const s=this.axis.map(r=>t[r]),o=!0;this.scale?this.gamma=this.addWeight("gamma",s,"float32",this.gammaInitializer,this.gammaRegularizer,o):this.gamma=null,this.center?this.beta=this.addWeight("beta",s,"float32",this.betaInitializer,this.betaRegularizer,o):this.beta=null,this.built=!0}call(t,e){const s=mt(t),o=s.shape,r=o.length;return X(()=>{let{mean:a,variance:c}=Rd(s,this.axis,!0);const l=fo(1,r);for(const m of this.axis)l[m]=o[m];const u=m=>m!=null&&m.shape.length!==r?z(m,l):m;let d=this.scale?u(this.gamma.read()):null,h=this.center?u(this.beta.read()):null;const p=[],f=[];for(let m=0;m{if(n.rank!==4)throw new G(`temporalPadding expects input tensor to be 4-D, but received a ${n.rank}-D tensor.`);if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new G("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(e==null&&(e=Ln()),e!=="channelsLast"&&e!=="channelsFirst")throw new G(`Unknown data format: ${e}. Supported data formats are 'channelsLast' and 'channelsFirst.`);let s;return e==="channelsFirst"?s=[[0,0],[0,0],t[0],t[1]]:s=[[0,0],t[0],t[1],[0,0]],Gd(n,s)})}class fx extends wt{constructor(t){if(t==null&&(t={}),super(t),this.dataFormat=t.dataFormat==null?Ln():t.dataFormat,t.padding==null)this.padding=[[1,1],[1,1]];else if(typeof t.padding=="number")this.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,t.padding.length!==2)throw new G(`ZeroPadding2D expects padding to be a length-2 array, but received a length-${t.padding.length} array.`);let e,s;if(typeof t.padding[0]=="number")e=[t.padding[0],t.padding[0]],s=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,t.padding[0].length!==2)throw new G(`ZeroPadding2D expects height padding to be a length-2 array, but received a length-${t.padding[0].length} array.`);if(e=t.padding[0],t.padding[1].length!==2)throw new G(`ZeroPadding2D expects width padding to be a length-2 array, but received a length-${t.padding[1].length} array.`);s=t.padding[1]}this.padding=[e,s]}this.inputSpec=[new ue({ndim:4})]}computeOutputShape(t){t=Nt(t);let e,s;return this.dataFormat==="channelsFirst"?(t[2]!=null&&t[2]>=0?e=t[2]+this.padding[0][0]+this.padding[0][1]:e=null,t[3]!=null&&t[3]>=0?s=t[3]+this.padding[1][0]+this.padding[1][1]:s=null,[t[0],t[1],e,s]):(t[1]!=null&&t[1]>=0?e=t[1]+this.padding[0][0]+this.padding[0][1]:e=null,t[2]!=null&&t[2]>=0?s=t[2]+this.padding[1][0]+this.padding[1][1]:s=null,[t[0],e,s,t[3]])}call(t,e){return X(()=>WL(mt(t),this.padding,this.dataFormat))}getConfig(){const t={padding:this.padding,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}fx.className="ZeroPadding2D",U(fx);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function hl(n,t,e,s,o,r){return X(()=>{se(o),d0(r),rn(s),e==null&&(e=[1,1]),s==null&&(s="valid"),o==null&&(o=Ln()),r==null&&(r="max"),n=np(n,o);let i;const a=s==="same"?"same":"valid";return r==="max"?i=Nd(n,t,e,a):i=gd(n,t,e,a),o==="channelsFirst"&&(i=kt(i,[0,3,1,2])),i})}function mx(n,t,e,s,o,r){return X(()=>{se(o),d0(r),rn(s),e==null&&(e=[1,1,1]),s==null&&(s="valid"),o==null&&(o=Ln()),r==null&&(r="max"),n=$b(n,o);let i;const a=s==="same"?"same":"valid";return r==="max"?i=PS(n,t,e,a):i=A2(n,t,e,a),o==="channelsFirst"&&(i=kt(i,[0,4,1,2,3])),i})}class gx extends wt{constructor(t){if(t.poolSize==null&&(t.poolSize=2),super(t),typeof t.poolSize=="number")this.poolSize=[t.poolSize];else if(Array.isArray(t.poolSize)&&t.poolSize.length===1&&typeof t.poolSize[0]=="number")this.poolSize=t.poolSize;else throw new G(`poolSize for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.poolSize)}`);if(xe(this.poolSize,"poolSize"),t.strides==null)this.strides=this.poolSize;else if(typeof t.strides=="number")this.strides=[t.strides];else if(Array.isArray(t.strides)&&t.strides.length===1&&typeof t.strides[0]=="number")this.strides=t.strides;else throw new G(`strides for 1D convolutional layer must be a number or an Array of a single number, but received ${JSON.stringify(t.strides)}`);xe(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,rn(this.padding),this.inputSpec=[new ue({ndim:3})]}computeOutputShape(t){t=Nt(t);const e=Mn(t[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]}call(t,e){return X(()=>{this.invokeCallHook(t,e),t=Di(mt(t),2);const s=this.poolingFunction(mt(t),[this.poolSize[0],1],[this.strides[0],1],this.padding,"channelsLast");return Mi(s,[2])})}getConfig(){const t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},e=super.getConfig();return Object.assign(t,e),t}}class bx extends gx{constructor(t){super(t)}poolingFunction(t,e,s,o,r){return se(r),rn(o),hl(t,e,s,o,r,"max")}}bx.className="MaxPooling1D",U(bx);class xx extends gx{constructor(t){super(t)}poolingFunction(t,e,s,o,r){return se(r),rn(o),hl(t,e,s,o,r,"avg")}}xx.className="AveragePooling1D",U(xx);class yx extends wt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==2)throw new G(`If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides];xe(this.poolSize,"poolSize"),xe(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,se(this.dataFormat),rn(this.padding),this.inputSpec=[new ue({ndim:4})]}computeOutputShape(t){t=Nt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],s=this.dataFormat==="channelsFirst"?t[3]:t[2];return e=Mn(e,this.poolSize[0],this.padding,this.strides[0]),s=Mn(s,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[t[0],t[1],e,s]:[t[0],e,s,t[3]]}call(t,e){return X(()=>(this.invokeCallHook(t,e),this.poolingFunction(mt(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){const t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}class Cx extends yx{constructor(t){super(t)}poolingFunction(t,e,s,o,r){return se(r),rn(o),hl(t,e,s,o,r,"max")}}Cx.className="MaxPooling2D",U(Cx);class Ix extends yx{constructor(t){super(t)}poolingFunction(t,e,s,o,r){return se(r),rn(o),hl(t,e,s,o,r,"avg")}}Ix.className="AveragePooling2D",U(Ix);class wx extends wt{constructor(t){if(t.poolSize==null&&(t.poolSize=[2,2,2]),super(t),this.poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],t.strides==null)this.strides=this.poolSize;else if(Array.isArray(t.strides)){if(t.strides.length!==3)throw new G(`If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length ${t.strides.length}.`);this.strides=t.strides}else this.strides=[t.strides,t.strides,t.strides];xe(this.poolSize,"poolSize"),xe(this.strides,"strides"),this.padding=t.padding==null?"valid":t.padding,this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,se(this.dataFormat),rn(this.padding),this.inputSpec=[new ue({ndim:5})]}computeOutputShape(t){t=Nt(t);let e=this.dataFormat==="channelsFirst"?t[2]:t[1],s=this.dataFormat==="channelsFirst"?t[3]:t[2],o=this.dataFormat==="channelsFirst"?t[4]:t[3];return e=Mn(e,this.poolSize[0],this.padding,this.strides[0]),s=Mn(s,this.poolSize[1],this.padding,this.strides[1]),o=Mn(o,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[t[0],t[1],e,s,o]:[t[0],e,s,o,t[4]]}call(t,e){return X(()=>(this.invokeCallHook(t,e),this.poolingFunction(mt(t),this.poolSize,this.strides,this.padding,this.dataFormat)))}getConfig(){const t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}class Sx extends wx{constructor(t){super(t)}poolingFunction(t,e,s,o,r){return se(r),rn(o),mx(t,e,s,o,r,"max")}}Sx.className="MaxPooling3D",U(Sx);class vx extends wx{constructor(t){super(t)}poolingFunction(t,e,s,o,r){return se(r),rn(o),mx(t,e,s,o,r,"avg")}}vx.className="AveragePooling3D",U(vx);class kx extends wt{constructor(t){super(t),this.inputSpec=[new ue({ndim:3})]}computeOutputShape(t){return[t[0],t[2]]}call(t,e){throw new bt}}class Tx extends kx{constructor(t){super(t||{})}call(t,e){return X(()=>{const s=mt(t);return ie(s,1)})}}Tx.className="GlobalAveragePooling1D",U(Tx);class Nx extends kx{constructor(t){super(t||{})}call(t,e){return X(()=>{const s=mt(t);return Tn(s,1)})}}Nx.className="GlobalMaxPooling1D",U(Nx);class Rx extends wt{constructor(t){super(t),this.dataFormat=t.dataFormat==null?"channelsLast":t.dataFormat,se(this.dataFormat),this.inputSpec=[new ue({ndim:4})]}computeOutputShape(t){return t=t,this.dataFormat==="channelsLast"?[t[0],t[3]]:[t[0],t[1]]}call(t,e){throw new bt}getConfig(){const t={dataFormat:this.dataFormat},e=super.getConfig();return Object.assign(t,e),t}}class Gx extends Rx{call(t,e){return X(()=>{const s=mt(t);return this.dataFormat==="channelsLast"?ie(s,[1,2]):ie(s,[2,3])})}}Gx.className="GlobalAveragePooling2D",U(Gx);class Lx extends Rx{call(t,e){return X(()=>{const s=mt(t);return this.dataFormat==="channelsLast"?Tn(s,[1,2]):Tn(s,[2,3])})}}Lx.className="GlobalMaxPooling2D",U(Lx);/** * @license * Copyright 2018 Google LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class $x extends wt{constructor(t){super(t),this.layer=t.layer}build(t){this.built=!0}get trainable(){return this.layer!=null?this.layer.trainable:!1}set trainable(t){this.layer!=null&&(this.layer.trainable=t)}get trainableWeights(){return this.layer.trainableWeights}get nonTrainableWeights(){return this.layer.nonTrainableWeights}get updates(){return this.layer._updates}get losses(){return this.layer.losses}getWeights(){return this.layer.getWeights()}setWeights(t){this.layer.setWeights(t)}getConfig(){const t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},e=super.getConfig();return Object.assign(t,e),t}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(t)}static fromConfig(t,e,s={}){const o=e.layer,r=us(o,s);delete e.layer;const i={layer:r};return Object.assign(i,e),new t(i)}}class Wx extends $x{constructor(t){super(t),this.supportsMasking=!0}build(t){if(t=Nt(t),t.length<3)throw new G(`TimeDistributed layer expects an input shape >= 3D, but received input shape ${JSON.stringify(t)}`);this.inputSpec=[{shape:t}];const e=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(e),this.layer.built=!0),super.build(t)}computeOutputShape(t){t=Nt(t);const e=[t[0]].concat(t.slice(2)),s=this.layer.computeOutputShape(e),o=t[1];return[s[0],o].concat(s.slice(1))}call(t,e){return X(()=>(t=mt(t),Db((i,a)=>[mt(this.layer.call(i,e)),[]],t,[],!1,null,null,!1,!0)[1]))}}Wx.className="TimeDistributed",U(Wx);function XL(n){go(eG,"BidirectionalMergeMode",n)}const ML="concat";class Xx extends $x{constructor(t){super(t);const e=t.layer.getConfig(),s={};s.className=t.layer.getClassName(),s.config=e,this.forwardLayer=us(s),e.goBackwards=e.goBackwards!==!0;const o={};if(o.className=t.layer.getClassName(),o.config=e,this.backwardLayer=us(o),this.forwardLayer.name="forward_"+this.forwardLayer.name,this.backwardLayer.name="backward_"+this.backwardLayer.name,this.mergeMode=t.mergeMode===void 0?ML:t.mergeMode,XL(this.mergeMode),t.weights)throw new bt("weights support is not implemented for Bidirectional layer yet.");this._stateful=t.layer.stateful,this.returnSequences=t.layer.returnSequences,this.returnState=t.layer.returnState,this.supportsMasking=!0,this._trainable=!0,this.inputSpec=t.layer.inputSpec,this.numConstants=null}get trainable(){return this._trainable}set trainable(t){this._trainable=t,this.forwardLayer!=null&&(this.forwardLayer.trainable=t),this.backwardLayer!=null&&(this.backwardLayer.trainable=t)}getWeights(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}setWeights(t){const e=t.length,s=Math.floor(e/2);this.forwardLayer.setWeights(t.slice(0,s)),this.backwardLayer.setWeights(t.slice(s))}computeOutputShape(t){let e=this.forwardLayer.computeOutputShape(t);Array.isArray(e)&&Array.isArray(e[0])||(e=[e]),e=e;let s,o,r;return this.returnState&&(r=e.slice(1)),s=e[0],s=s,this.mergeMode==="concat"?(s[s.length-1]*=2,o=[s]):this.mergeMode==null?o=[s,s.slice()]:o=[s],this.returnState?this.mergeMode==null?o.concat(r).concat(r.slice()):[s].concat(r).concat(r.slice()):Pe(o)}apply(t,e){let s=e==null?null:e.initialState,o=e==null?null:e.constants;e==null&&(e={});const r=Fb(t,s,o,this.numConstants);if(t=r.inputs,s=r.initialState,o=r.constants,Array.isArray(t)&&(s=t.slice(1),t=t[0]),(s==null||s.length===0)&&o==null)return super.apply(t,e);const i=[],a=[];if(s!=null){const l=s.length;if(l%2>0)throw new G("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");e.initialState=s,i.push(...s);const u=s.map(d=>new ue({shape:d.shape}));this.forwardLayer.stateSpec=u.slice(0,l/2),this.backwardLayer.stateSpec=u.slice(l/2),a.push(...u)}if(o!=null)throw new bt("Support for constants in Bidirectional layers is not implemented yet.");const c=i[0]instanceof _n;for(const l of i)if(l instanceof _n!==c)throw new G("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors");if(c){const l=[t].concat(i),u=this.inputSpec.concat(a),d=this.inputSpec;this.inputSpec=u;const h=super.apply(l,e);return this.inputSpec=d,h}else return super.apply(t,e)}call(t,e){return X(()=>{const s=e.initialState;let o,r;if(s==null)o=this.forwardLayer.call(t,e),r=this.backwardLayer.call(t,e);else{const c=s.slice(0,s.length/2),l=s.slice(s.length/2);o=this.forwardLayer.call(t,Object.assign(e,{initialState:c})),r=this.backwardLayer.call(t,Object.assign(e,{initialState:l}))}let i;this.returnState&&(Array.isArray(o)&&(i=o.slice(1).concat(r.slice(1))),o=o[0],r=r[0]),this.returnSequences&&(r=co(r,1));let a;return this.mergeMode==="concat"?a=Lh([o,r]):this.mergeMode==="sum"?a=Q(o,r):this.mergeMode==="ave"?a=L(.5,Q(o,r)):this.mergeMode==="mul"?a=L(o,r):this.mergeMode==null&&(a=[o,r]),this.returnState?this.mergeMode==null?a.concat(i):[a].concat(i):a})}resetStates(t){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()}build(t){bo(this.forwardLayer.name,()=>{this.forwardLayer.build(t)}),bo(this.backwardLayer.name,()=>{this.backwardLayer.build(t)}),this.built=!0}computeMask(t,e){Array.isArray(e)&&(e=e[0]);let s;if(this.returnSequences?this.mergeMode==null?s=[e,e]:s=e:this.mergeMode==null?s=[null,null]:s=null,this.returnState){const r=this.forwardLayer.states.map(i=>null);return Array.isArray(s)?s.concat(r).concat(r):[s].concat(r).concat(r)}else return s}get trainableWeights(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}get nonTrainableWeights(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)}setFastWeightInitDuringBuild(t){super.setFastWeightInitDuringBuild(t),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(t),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(t)}getConfig(){const t={mergeMode:this.mergeMode},e=super.getConfig();return Object.assign(t,e),t}static fromConfig(t,e){const s=us(e.layer);if(delete e.layer,e.numConstants!=null)throw new bt("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");const o=e;return o.layer=s,new t(o)}}Xx.className="Bidirectional",U(Xx);/** * @license * Copyright 2022 CodeSmith LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class Mx extends wt{constructor(t){super(t),this.scale=t.scale,t.offset?this.offset=t.offset:this.offset=0}getConfig(){const t={scale:this.scale,offset:this.offset},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return X(()=>(t=mt(t),t.dtype!=="float32"&&(t=Bn(t,"float32")),Q(L(t,this.scale),this.offset)))}}Mx.className="Rescaling",U(Mx);/** * @license * Copyright 2022 CodeSmith LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */const{resizeBilinear:zL,cropAndResize:VL}=is;class zx extends wt{constructor(t){super(t),this.height=t.height,this.width=t.width}centerCrop(t,e,s,o,r,i,a,c){return X(()=>{let l,u=!1;const d=e/i,h=s/a,p=(o+e)/i,f=(r+s)/a,m=[d,h,p,f],g=[];t.rank===3?(u=!0,l=Pn([t])):l=t;for(let I=0;I{const r=zL(t,[e,s]);return Bn(r,o)})}call(t,e){return X(()=>{const s=mt(t),o=s.dtype,r=s.shape,i=r[r.length-3],a=r[r.length-2];let c=0;i!==this.height&&(c=Math.floor((i-this.height)/2));let l=0;return a!==this.width&&(l=Math.floor((a-this.width)/2),l===0&&(l=1)),c>=0&&l>=0?this.centerCrop(s,c,l,this.height,this.width,i,a,o):this.upsize(t,this.height,this.width,o)})}getConfig(){const t={height:this.height,width:this.width},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){t=Nt(t);const e=t.length-3,s=t.length-2;return t[e]=this.height,t[s]=this.width,t}}zx.className="CenterCrop",U(zx);/** * @license * Copyright 2022 CodeSmith LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */function EL(n,t,e,s){let o=mt(n);if(o.dtype!=="int32"&&(o=Bn(o,"int32")),t==="int")return o;const r=o.shape;if(o.rank===0&&(o=De(o,-1)),t==="oneHot"&&o.shape[o.shape.length-1]!==1&&(o=De(o,-1)),o.rank>2)throw new G(`When outputMode is not int, maximum output rank is 2 Received outputMode ${t} and input shape ${r} which would result in output rank ${o.rank}.`);const i=["multiHot","oneHot"].includes(t),a=o;let c;if(typeof s<"u"&&t==="count"?c=Vm(a,s,e,i):c=Vm(a,[],e,i),t!=="tfIdf")return c;if(s)return L(c,s);throw new G("When outputMode is 'tfIdf', weights must be provided.")}/** * @license * Copyright 2022 CodeSmith LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class Vx extends wt{constructor(t){super(t),this.numTokens=t.numTokens,t.outputMode?this.outputMode=t.outputMode:this.outputMode="multiHot"}getConfig(){const t={numTokens:this.numTokens,outputMode:this.outputMode},e=super.getConfig();return Object.assign(t,e),t}computeOutputShape(t){return t=Nt(t),t==null?[this.numTokens]:this.outputMode==="oneHot"&&t[t.length-1]!==1?(t.push(this.numTokens),t):(t[t.length-1]=this.numTokens,t)}call(t,e){return X(()=>{t=mt(t),t.dtype!=="int32"&&(t=Bn(t,"int32"));let s;if(typeof e.countWeights<"u"){if(this.outputMode!=="count")throw new G(`countWeights is not used when outputMode !== count. Received countWeights=${e.countWeights}`);s=mt(e.countWeights)}const o=Tn(t),r=Xc(t),i=sn(this.numTokens,o).bufferSync().get(0),a=ro(r,0).bufferSync().get(0);if(!(i&&a))throw new G(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return EL(t,this.outputMode,this.numTokens,s)})}}Vx.className="CategoryEncoding",U(Vx);/** * @license * Copyright 2022 CodeSmith LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */const KL=["bilinear","nearest"],Ex=new Set(KL);class Kx extends wt{constructor(t){if(super(t),this.height=t.height,this.width=t.width,t.interpolation)if(Ex.has(t.interpolation))this.interpolation=t.interpolation;else throw new G(`Invalid interpolation parameter: ${t.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=!!t.cropToAspectRatio}computeOutputShape(t){t=Nt(t);const e=t[2];return[this.height,this.width,e]}getConfig(){const t={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},e=super.getConfig();return Object.assign(t,e),t}call(t,e){return X(()=>{const s=[this.height,this.width];if(this.interpolation==="bilinear")return is.resizeBilinear(t,s,!this.cropToAspectRatio);if(this.interpolation==="nearest")return is.resizeNearestNeighbor(t,s,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[...Ex]} are supported`)})}}Kx.className="Resizing",U(Kx);/** * @license * Copyright 2023 CodeSmith LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class Zx{constructor(t){this.seed=t}next(){if(this.seed!==void 0)return this.seed++}}Zx.className="RandomSeed";/** * @license * Copyright 2023 CodeSmith LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */class Fx extends wt{constructor(t){super(t),this.randomGenerator=new Zx(t.seed)}getConfig(){const t={seed:this.randomGenerator.seed},e=super.getConfig();return Object.assign(t,e),t}}Fx.className="BaseRandomLayer";/** * @license * Copyright 2023 CodeSmith LLC * * Use of this source code is governed by an MIT-style * license that can be found in the LICENSE file or at * https://opensource.org/licenses/MIT. * ============================================================================= */const ZL=["bilinear","nearest"],Dx=new Set(ZL);class Px extends Fx{constructor(t){super(t);const{factor:e,interpolation:s="bilinear"}=t;if(this.factor=e,Array.isArray(this.factor)&&this.factor.length===2)this.widthLower=this.factor[0],this.widthUpper=this.factor[1];else if(!Array.isArray(this.factor)&&this.factor>0)this.widthLower=-this.factor,this.widthUpper=this.factor;else throw new G(`Invalid factor: ${this.factor}. Must be positive number or tuple of 2 numbers`);if(this.widthLower<-1||this.widthUpper<-1)throw new G(`factor must have values larger than -1. Got: ${this.factor}`);if(this.widthUpper{const s=mt(t);this.imgHeight=s.shape[s.shape.length-3];const o=s.shape[s.shape.length-2];this.widthFactor=Wi([1],1+this.widthLower,1+this.widthUpper,"float32",this.randomGenerator.next());let r=this.widthFactor.dataSync()[0]*o;r=Math.round(r);const i=[this.imgHeight,r];switch(this.interpolation){case"bilinear":return is.resizeBilinear(t,i);case"nearest":return is.resizeNearestNeighbor(t,i);default:throw new Error(`Interpolation is ${this.interpolation} but only ${[...Dx]} are supported`)}})}}Px.className="RandomWidth",U(Px);/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */V().registerFlag("KEEP_INTERMEDIATE_TENSORS",()=>!1,n=>{n&&console.warn("Keep intermediate tensors is ON. This will print the values of all intermediate tensors during model inference. Not all models support this mode. For details, check e2e/benchmarks/ model_config.js. This significantly impacts performance.")});/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */var Ox;(function(n){n[n.DT_INVALID=0]="DT_INVALID",n[n.DT_FLOAT=1]="DT_FLOAT",n[n.DT_DOUBLE=2]="DT_DOUBLE",n[n.DT_INT32=3]="DT_INT32",n[n.DT_UINT8=4]="DT_UINT8",n[n.DT_INT16=5]="DT_INT16",n[n.DT_INT8=6]="DT_INT8",n[n.DT_STRING=7]="DT_STRING",n[n.DT_COMPLEX64=8]="DT_COMPLEX64",n[n.DT_INT64=9]="DT_INT64",n[n.DT_BOOL=10]="DT_BOOL",n[n.DT_QINT8=11]="DT_QINT8",n[n.DT_QUINT8=12]="DT_QUINT8",n[n.DT_QINT32=13]="DT_QINT32",n[n.DT_BFLOAT16=14]="DT_BFLOAT16",n[n.DT_QINT16=15]="DT_QINT16",n[n.DT_QUINT16=16]="DT_QUINT16",n[n.DT_UINT16=17]="DT_UINT16",n[n.DT_COMPLEX128=18]="DT_COMPLEX128",n[n.DT_HALF=19]="DT_HALF",n[n.DT_RESOURCE=20]="DT_RESOURCE",n[n.DT_VARIANT=21]="DT_VARIANT",n[n.DT_UINT32=22]="DT_UINT32",n[n.DT_UINT64=23]="DT_UINT64",n[n.DT_FLOAT_REF=101]="DT_FLOAT_REF",n[n.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",n[n.DT_INT32_REF=103]="DT_INT32_REF",n[n.DT_UINT8_REF=104]="DT_UINT8_REF",n[n.DT_INT16_REF=105]="DT_INT16_REF",n[n.DT_INT8_REF=106]="DT_INT8_REF",n[n.DT_STRING_REF=107]="DT_STRING_REF",n[n.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",n[n.DT_INT64_REF=109]="DT_INT64_REF",n[n.DT_BOOL_REF=110]="DT_BOOL_REF",n[n.DT_QINT8_REF=111]="DT_QINT8_REF",n[n.DT_QUINT8_REF=112]="DT_QUINT8_REF",n[n.DT_QINT32_REF=113]="DT_QINT32_REF",n[n.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF",n[n.DT_QINT16_REF=115]="DT_QINT16_REF",n[n.DT_QUINT16_REF=116]="DT_QUINT16_REF",n[n.DT_UINT16_REF=117]="DT_UINT16_REF",n[n.DT_COMPLEX128_REF=118]="DT_COMPLEX128_REF",n[n.DT_HALF_REF=119]="DT_HALF_REF",n[n.DT_RESOURCE_REF=120]="DT_RESOURCE_REF",n[n.DT_VARIANT_REF=121]="DT_VARIANT_REF",n[n.DT_UINT32_REF=122]="DT_UINT32_REF",n[n.DT_UINT64_REF=123]="DT_UINT64_REF"})(Ox||(Ox={}));var Ax;(function(n){(function(t){t[t.LEGACY=0]="LEGACY",t[t.V1=1]="V1",t[t.V2=2]="V2"})(n.CheckpointFormatVersion||(n.CheckpointFormatVersion={}))})(Ax||(Ax={}));/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * ============================================================================= */var Hx;(function(n){n[n.FAIL=0]="FAIL",n[n.SHORTEST=1]="SHORTEST",n[n.LONGEST=2]="LONGEST"})(Hx||(Hx={}));/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function it(n,t){Array.isArray(n)||(n=[n]),n.forEach(e=>{e!=null&&S(e.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const FL=rg;class pl extends Hl{nextDataId(){return pl.nextDataId++}constructor(){super(),this.blockSize=48,this.firstUse=!0,this.data=new cf(this,Kt())}write(t,e,s){this.firstUse&&(this.firstUse=!1,V().get("IS_NODE")&&je(` ============================ Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details. ============================`));const o={id:this.nextDataId()};return this.data.set(o,{values:t,dtype:s,refCount:1}),o}makeTensorInfo(t,e,s){let o;if(e==="string"&&s!=null&&s.length>0&&Sr(s[0])){const r=s.map(i=>bs(i));o=this.write(r,t,e)}else o=this.write(s,t,e);return{dataId:o,shape:t,dtype:e}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){const e=this.data.get(t);e.refCount++}decRef(t){if(this.data.has(t)){const e=this.data.get(t);e.refCount--}}move(t,e,s,o,r){this.data.set(t,{values:e,dtype:o,refCount:r})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){const{dtype:e,complexTensorInfos:s}=this.data.get(t);if(e==="complex64"){const o=this.readSync(s.real.dataId),r=this.readSync(s.imag.dataId);return as(o,r)}return rI(this.data.get(t).values,e)}bufferSync(t){const e=this.readSync(t.dataId);if(t.dtype==="string")try{const s=e.map(o=>xs(o));return It(t.shape,t.dtype,s)}catch{throw new Error("Failed to decode encoded string bytes into utf-8")}return It(t.shape,t.dtype,e)}makeOutput(t,e,s){return Kt().makeTensorFromTensorInfo(this.makeTensorInfo(e,s,t),this)}disposeData(t,e=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!e&&this.data.get(t).refCount>0)return!1;const{complexTensorInfos:s}=this.data.get(t);s!=null&&(this.disposeData(s.real.dataId,!0),this.disposeData(s.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){const e=Ee();return t(),{kernelMs:Ee()-e}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(t){it([t],"where");const e=this.readSync(t.dataId);return FL(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}}pl.nextDataId=0;/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Bx(n){const t=new Float32Array(n.length);for(let e=0;e{const{x:t}=n.inputs,e=n.backend;it(t,"abs");let s=new Float32Array(A(t.shape));const o=e.data.get(t.dataId).values;return s=Bx(o),e.makeOutput(s,t.shape,t.dtype)}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function oe(n){return(t,e,s,o,r)=>{const i=gt(t,e),a=i.length,c=ct(i),l=A(i),u=ke(r,l),d=t.length,h=e.length,p=ct(t),f=ct(e),m=Yo(t,i),g=Yo(e,i);if(m.length+g.length===0)for(let b=0;bC[k]=0);const y=En(C,d,p),I=x.slice(-h);g.forEach(k=>I[k]=0);const w=En(I,h,f);u[b]=n(s[y],o[w])}return[u,i]}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Qe(n){const{inputs:t,backend:e}=n,{real:s,imag:o}=t,r=e.data.get(s.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(s.shape,"complex64"),c=e.data.get(a.dataId);return c.complexTensorInfos={real:e.makeTensorInfo(s.shape,"float32",r),imag:e.makeTensorInfo(o.shape,"float32",i)},a}const PL={kernelName:du,backendName:"cpu",kernelFunc:Qe};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function fl(n,t,e="float32"){if(e==="complex64"){const o=fl(n,t,"float32"),r=fl(n,t,"float32");return Qe({inputs:{real:o,imag:r},backend:n})}const s=Te(A(t),e);return n.makeTensorInfo(t,e,s)}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Qn(n){const{inputs:t,backend:e}=n,{x:s}=t;return e.incRef(s.dataId),{dataId:s.dataId,shape:s.shape,dtype:s.dtype}}const OL={kernelName:Ar,backendName:"cpu",kernelFunc:Qn};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Io(n){const{inputs:t,backend:e}=n,{input:s}=t,o=e.data.get(s.dataId).complexTensorInfos.real,r=e.data.get(o.dataId).values;return e.makeTensorInfo(o.shape,o.dtype,r)}const AL={kernelName:Eu,backendName:"cpu",kernelFunc:Io};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ux(n,t,e,s){if(s==="int32"){const o=Int32Array.from(n);return[t,"int32",o]}if(s==="bool"){const o=Ys([0],e),[r,i]=oe((a,c)=>a!==c?1:0)(t,[],n,o,"bool");return[i,"bool",r]}throw new Error(`Error in Cast: failed to cast ${e} to ${s}`)}function zs(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{dtype:r}=s;if(r==="complex64"){if(o.dtype==="complex64")return Qn({inputs:{x:o},backend:e});const u=fl(e,o.shape,o.dtype),d=zs({inputs:{x:o},backend:e,attrs:{dtype:"float32"}}),h=Qe({inputs:{real:d,imag:u},backend:e});return e.disposeIntermediateTensorInfo(u),e.disposeIntermediateTensorInfo(d),h}if(o.dtype==="complex64"){const u=Io({inputs:{input:o},backend:e}),d=zs({inputs:{x:u},backend:e,attrs:{dtype:r}});return e.disposeIntermediateTensorInfo(u),d}if(!df(o.dtype,r)){const u=Qn({inputs:{x:o},backend:e});return{dataId:u.dataId,shape:u.shape,dtype:r}}const i=e.data.get(o.dataId).values,[a,c,l]=Ux(i,o.shape,o.dtype,r);return e.makeTensorInfo(a,c,l)}const HL={kernelName:$r,backendName:"cpu",kernelFunc:zs};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function pe(n,t,e,s){return e==null?({inputs:o,backend:r})=>{const{a:i,b:a}=o,c=r;it([i,a],n);const l=c.data.get(i.dataId).values,u=c.data.get(a.dataId).values,d=i.dtype==="string"?cs(l):l,h=i.dtype==="string"?cs(u):u,p=s||i.dtype,[f,m]=t(i.shape,a.shape,d,h,p);return c.makeTensorInfo(m,p,f)}:({inputs:o,backend:r})=>{const{a:i,b:a}=o,c=r;if(i.dtype==="complex64"||a.dtype==="complex64"){const l=zs({inputs:{x:i},backend:c,attrs:{dtype:"complex64"}}),u=c.data.get(l.dataId),d=u.complexTensorInfos.real,h=u.complexTensorInfos.imag,p=c.data.get(d.dataId).values,f=c.data.get(h.dataId).values,m=zs({inputs:{x:a},backend:c,attrs:{dtype:"complex64"}}),g=c.data.get(m.dataId),b=g.complexTensorInfos.real,x=g.complexTensorInfos.imag,C=c.data.get(b.dataId).values,y=c.data.get(x.dataId).values,[I,w,k]=e(i.shape,a.shape,p,f,C,y),v=c.makeTensorInfo(k,"float32",I),T=c.makeTensorInfo(k,"float32",w),R=Qe({inputs:{real:v,imag:T},backend:c});return c.disposeIntermediateTensorInfo(l),c.disposeIntermediateTensorInfo(m),c.disposeIntermediateTensorInfo(v),c.disposeIntermediateTensorInfo(T),R}else{const l=c.data.get(i.dataId).values,u=c.data.get(a.dataId).values,d=s||i.dtype,[h,p]=t(i.shape,a.shape,l,u,d);return c.makeTensorInfo(p,d,h)}}}function cp(n){return(t,e,s,o,r,i)=>{const a=gt(t,e),c=A(a),l=a.length,u=ct(a),d=ke("float32",c),h=ke("float32",c),p=Yo(t,a),f=Yo(e,a),m=as(s,o),g=as(r,i),b=t.length,x=ct(t),C=e.length,y=ct(e);if(p.length+f.length===0)for(let I=0;Ik[E]=0);const v=En(k,b,x),T=w.slice(-C);f.forEach(E=>T[E]=0);const R=En(T,C,y),W=n(m[v*2],m[v*2+1],g[R*2],g[R*2+1]);d[I]=W.real,h[I]=W.imag}return[d,h,a]}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const _x=oe((n,t)=>n+t),BL=cp((n,t,e,s)=>({real:n+e,imag:t+s})),ir=pe(Zo,_x,BL),UL={kernelName:Zo,backendName:"cpu",kernelFunc:ir};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function lp(n,t,e,s,o){const r=A(s),i=Te(o,e);for(let a=0;a=o||(r>0?i[c]+=t[a]:i[c]+=1)}return i}function Yx(n,t,e,s=!1){const o=n.shape[0],r=n.shape[1],i=It([o,e],t.dtype);for(let a=0;a=e||(s?i.set(1,a,l):t.size>0?i.set(i.get(a,l)+t.get(a,c),a,l):i.set(i.get(a,l)+1,a,l))}return i}/** * @license * Copyright 2023 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Qx=oe((n,t)=>n&t),_L=pe(uu,Qx),YL={kernelName:uu,backendName:"cpu",kernelFunc:_L};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Jn(n){return(t,e,s)=>{const o=qt(e,t.length);for(let r=0;r{const{x:i}=s;it(i,n);const a=r,c=a.data.get(i.dataId).values;let l;if(i.dtype==="string"){if(!Array.isArray(c))throw new Error("String tensor's value was not an instance of Array");l=cs(c)}else l=c;const u=e||i.dtype,d=t(l,u,o);return a.makeTensorInfo(i.shape,u,d)}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Jx=Jn(n=>Math.ceil(n)),QL=Vs(Wr,Jx),JL={kernelName:Wr,backendName:"cpu",kernelFunc:QL};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function jx(n,t,e,s){const o=qt(e,A(t));if(s&&e!=="string"){let r=0;n.forEach(i=>{const a=A(i.shape);o.set(i.vals,r),r+=a})}else{let r=0;n.forEach(i=>{const a=e==="string"?cs(i.vals):i.vals;let c=0;for(let l=0;ln===t?1:0),ty=pe(za,qx,null,"bool"),jL={kernelName:za,backendName:"cpu",kernelFunc:ty};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ey=Jn(n=>Math.exp(n)),ny=Vs(Zr,ey,"float32"),qL={kernelName:Zr,backendName:"cpu",kernelFunc:ny};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const sy=Jn(n=>Math.expm1(n)),t$=Vs(Fr,sy),e$={kernelName:Fr,backendName:"cpu",kernelFunc:t$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const oy=Jn(n=>Math.floor(n)),n$=Vs(Dr,oy),s$={kernelName:Dr,backendName:"cpu",kernelFunc:n$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ry=oe((n,t)=>Math.floor(n/t)),o$=pe(Pr,ry,null,"int32"),r$={kernelName:Pr,backendName:"cpu",kernelFunc:o$};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function iy(n,t,e,s,o,r,i,a,c){const l=It([s,r],e);for(let u=0;u=c/r)throw new Error(`Invalid indices: ${d} does not index into ${a}`);for(let p=0;pn>t?1:0),i$=pe(Za,cy,null,"bool"),a$={kernelName:Za,backendName:"cpu",kernelFunc:i$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const ly=oe((n,t)=>n>=t?1:0),c$=pe(Or,ly,null,"bool"),l$={kernelName:Or,backendName:"cpu",kernelFunc:c$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const uy=oe((n,t)=>nn<=t?1:0),h$=pe(Pa,dy,null,"bool"),p$={kernelName:Pa,backendName:"cpu",kernelFunc:h$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function hy(n,t,e){const s=(t-n)/(e-1),o=Te(e,"float32");o[0]=n;for(let r=1;rMath.log(n)),f$=Vs(_r,py),m$={kernelName:_r,backendName:"cpu",kernelFunc:f$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function fy(n,t,e,s){const o=ke(s,A(e));for(let r=0;ra)&&(a=l)}o[r]=a}return o}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const my=oe((n,t)=>Math.max(n,t)),g$=pe(Qr,my),b$={kernelName:Qr,backendName:"cpu",kernelFunc:g$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const gy=oe((n,t)=>Math.min(n,t)),x$=pe(Jr,gy),y$={kernelName:Jr,backendName:"cpu",kernelFunc:x$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const up=oe((n,t)=>n*t),C$=cp((n,t,e,s)=>({real:n*e-t*s,imag:n*s+t*e})),ml=pe(qr,up,C$),I$={kernelName:qr,backendName:"cpu",kernelFunc:ml};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function by(n,t,e){const s=gs(-1,e);return up([],t,s,n,e)}function w$(n){const{inputs:t,backend:e}=n,{x:s}=t;it(s,"neg");const o=e.data.get(s.dataId).values,[r,i]=by(o,s.shape,s.dtype);return e.makeTensorInfo(i,s.dtype,r)}const S$={kernelName:qa,backendName:"cpu",kernelFunc:w$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const xy=oe((n,t)=>n!==t?1:0),v$=pe(tc,xy,null,"bool"),k$={kernelName:tc,backendName:"cpu",kernelFunc:v$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function dp(n,t,e,s,o){const r=t.length,i=A(t),a=ct(t),c=ct(o),l=ke(e,A(o));for(let u=0;ue.disposeIntermediateTensorInfo(x)),e.makeTensorInfo(b,g,f)}const R$={kernelName:ic,backendName:"cpu",kernelFunc:N$};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function G$(n,t,e){n.forEach((s,o)=>{if(s<0||s>=e){const r=Ko(o,t.length,ct(t)).join(",");throw new Error(`indices[${r}] = ${s} is not in [0, ${e})`)}})}function L$(n,t){for(let e=0;eo)throw new Error("Ragged splits must not point past values");for(let r=1;rs[r])throw new Error("Ragged splits must be sorted in ascending order")}}function $$(n,t,e,s){const o=[];let r=0;const i=t.length-1+e.length,a=new Array(i).fill(null).map(()=>[0]);L$(e,s);let c=1;for(let l=0;l=0){const m=a[f],g=m[m.length-1]-p[u];for(let b=u;bo[i]=r)}return t}function Cy(n,t){const e=n.slice(0,t);for(;e.length1)throw new Error("starts must be a scalar or vector");if(o.length>1)throw new Error("limits must be a scalar or vector");if(i.length>1)throw new Error("deltas must be a scalar or vector");const a=t.length===0,c=o.length===0,l=i.length===0,u=[];a||u.push(t[0]),c||u.push(o[0]),l||u.push(i[0]);for(let g=1;g0&&xb)y=0;else if(y=Math.ceil(Math.abs((x-b)/C)),y>wy)throw new Error(`Requires ((limit - start) / delta) <= ${wy}`);h[g+1]=h[g]+y}const p=h[d],f=qt(e,p);let m=0;for(let g=0;gs&&(s=r)}return s}static getMaxWidthValueRowID(t){const e=t.length;if(e===0)return 0;let s=0,o=t[0],r=0;for(let i=1;i"Final length of result must be equal to firstDimension."),r}calculateOutputIndexRowSplit(t,e,s,o){const r=t.length,i=[];for(let a=0;a0&&i.length!==t[r-1])throw new Error("Invalid row split size.");return i}calculateOutputIndexValueRowID(t,e,s,o){const r=t.length,i=[];if(r===0)return[];let a=0,c=t[0];if(c>=e.length)throw new Error(`Got currentValueRowId=${c}, which is not less than ${e.length}`);let l=e[c];i.push(l);for(let u=1;u=0&&(++a,a=e.length)throw new Error(`Got nextValueRowId=${d} which is not less than ${e.length}`);l=e[d]}i.push(l)}if(i.length!==t.length)throw new Error("Invalid row ids.");return i}calculateOutputIndex(t,e,s,o){const r=this.getRowPartitionTensor(t),i=this.getRowPartitionTypeByDimension(t);switch(i){case Cn.VALUE_ROWIDS:return this.calculateOutputIndexValueRowID(r,e,s,o);case Cn.ROW_SPLITS:if(r.length-1>e.length)throw new Error(`Row partition size is greater than output size: ${r.length-1} > ${e.length}`);return this.calculateOutputIndexRowSplit(r,e,s,o);default:throw new Error(`Unsupported partition type: ${Cn[i]}`)}}getFirstDimensionSize(){const t=this.rowPartitionValues[0];if(this.rowPartitionTypes.length===0)throw new Error("No row_partition_types given.");const e=this.rowPartitionTypes[0];switch(e){case Cn.FIRST_DIM_SIZE:return t[0];case Cn.VALUE_ROWIDS:throw new Error("Cannot handle VALUE_ROWIDS in first dimension.");case Cn.ROW_SPLITS:return this.rowPartitionValuesShapes[0][0]-1;default:throw new Error(`Cannot handle type ${Cn[e]}`)}}compute(){if(this.rowPartitionValues[0].length<=0)throw new Error("Invalid first partition input. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ny(n,t,e,s){const o=n===t,r=n1;if(o||r||i)return Te(0,s);const a=Math.abs(Math.ceil((t-n)/e)),c=Te(a,s);t1/Math.sqrt(n)),z$=Vs(ri,Ry),V$={kernelName:ri,backendName:"cpu",kernelFunc:z$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function wo(n,t,e,s,o,r,i,a,c,l){const u=[s/o,o],d=n.values,h=t.values;if(s===0)return It(e,t.dtype);const p=c instanceof ye?c:It(u,t.dtype);typeof c=="string"||typeof c=="number"?p.values.fill(c):typeof c=="boolean"&&p.values.fill(+c);for(let f=0;f=s/o)throw new Error(`Invalid indices: ${m} does not index into ${e}`);for(let b=0;b1/(1+Math.exp(-n))),Gy=Wt(ui,n=>1/(1+Math.exp(-n))),K$={kernelName:ui,backendName:"cpu",kernelFunc:Gy};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ly(n,t,e,s,o){const r=Sg(s,t,e),i=A(e),a=ct(s);if(r){const d=vg(t,a);return o==="string"?n.slice(d,d+i):n.subarray(d,d+i)}const c=o==="string"?cs(n):n,l=It(s,o,c),u=It(e,o);for(let d=0;df+t[m]);u.set(l.get(...p),...h)}return o==="string"?Jg(u.values):u.values}function So(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{begin:r,size:i}=s;it(o,"slice");const[a,c]=sh(o,r,i);Ig(o,a,c);const l=e.data.get(o.dataId).values,u=Ly(l,a,c,o.shape,o.dtype);return e.makeTensorInfo(c,o.dtype,u)}const Z$={kernelName:hc,backendName:"cpu",kernelFunc:So};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function $y(n,t,e,s,o,r,i){const a=t[0],c=r[0],l=new Array(c),u=new Array(a),d=t[1];if(c===0){if(a!==0)throw new Error(Zg(a));const g=qt(e,0),b=qt(o,0);return[g,[0,d],b,l,u]}let h=!0,p=0;const f=new Array(c).fill(0);for(let g=0;g=c)throw new Error(Dg(g,b,c));++f[b],h=h&&b>=p,p=b}let m=!0;for(let g=0;g0&&(f[g]+=f[g-1])}if(m&&h){const g=n,b=s;for(let x=0;x0){p[h-1]=1;for(let g=h-2;g>=0;--g)p[g]=p[g+1]*s[g+1]}const f=[];if(a>0){f[a-1]=1;for(let g=a-2;g>=0;--g)f[g]=f[g+1]*c[g+1]}const m=qt(e,i*a);for(let g=0;g0?o[a-1]+1:0;if(d<0)throw new Error(Sh());const h=t.slice();h[0]=d;const p=h.reduce((C,y)=>C*y,1),f=qt(e,p);if(a===0)return d>0&&f.fill(i),[f,h];if(d<=0)throw new Error(Sh());let m=0,g=1,b=0,x=o[m];for(;;){let C=0;if(g=C)throw new Error(Ug())}if(x<0||x>=d)throw new Error(_g(x,d));x>b&&f.fill(i,b*l,x*l);for(let y=m;y=c[0])throw new Error(Yg(y,s[y],c[0]));for(let w=0;wa)break}return bMath.sqrt(n)),D$=Wt(hi,n=>Math.sqrt(n)),P$={kernelName:hi,backendName:"cpu",kernelFunc:D$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Xy=oe((n,t)=>{const e=n-t;return e*e}),O$=pe(pi,Xy),A$={kernelName:pi,backendName:"cpu",kernelFunc:O$};/** * @license * Copyright 2023 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const My=Jn((n,t)=>{const{pattern:e,replaceGlobal:s,rewrite:o}=t;return n.replace(new RegExp(e,s?"g":""),o)}),H$=Vs(Du,My),B$={kernelName:Du,backendName:"cpu",kernelFunc:H$};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zy(n,t,e,s){const o=It(n,t.dtype);for(let r=0;r0?0:a-c);let p=0;p+=l*this.leftPad.length;for(let x=0;xx.forEach(C=>m[g++]=C);for(let x=0;x0){b(t[h+d-1]);for(let x=0;x0){let c=e[0];if(c!==0)throw new Error(`First split value must be 0, got ${c}`);for(let l=1;l=c;if(u=u&&e[l]<=s,!u)throw new Error(`Invalid split value ${e[l]}, must be in [${c}, ${s}]`);c=e[l]}if(c!==s)throw new Error(`Last split value must be data size. 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All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _$(n,t,e,s){if(!n.length)return;if(t.length===0){for(let r=0;rn-t),Y$=cp((n,t,e,s)=>({real:n-e,imag:t-s})),pp=pe(fi,Zy,Y$),Q$={kernelName:fi,backendName:"cpu",kernelFunc:pp};/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Fy(n,t){const e=new Array(n.rank);for(let o=0;o{const e=t.value-n.value;return e===0?n.index-t.index:e};function Dy(n,t,e=0,s=n.length-1){for(;s>e;){if(s-e>600){const a=s-e+1,c=t-e+1,l=Math.log(a),u=.5*Math.exp(2*l/3),d=.5*Math.sqrt(l*u*(a-u)/a)*Math.sign(c-a/2),h=Math.max(e,Math.floor(t-c*u/a+d)),p=Math.min(s,Math.floor(t+(a-c)*u/a+d));Dy(n,t,h,p)}const o=n[t];let r=e,i=s;for(Mo(n,e,t),ea(n[s],o)>0&&Mo(n,e,s);r0;)i=i-1}ea(n[e],o)===0?Mo(n,e,i):(i=i+1,Mo(n,i,s)),i<=t&&(e=i+1),t<=i&&(s=i-1)}}function Py(n,t,e,s,o){const r=t[t.length-1],[i,a]=[n.length/r,r],c=ke(e,i*s),l=ke("int32",i*s);for(let d=0;df[C]={value:x,index:C}),s{for(let g=0;gnew pl,1);/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ay=Wt(Er,n=>n>=0?n:Math.exp(n)-1),j$={kernelName:Er,backendName:"cpu",kernelFunc:Ay};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Hy(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{alpha:r}=s;it([o],"leakyRelu");const i=A(o.shape),a=e.data.get(o.dataId).values,c=ke("float32",i);for(let l=0;ln<0?t*n:n);function By(n){const{inputs:t,backend:e}=n,{x:s,alpha:o}=t;it([s,o],"prelu");const r=e.data.get(s.dataId).values,i=e.data.get(o.dataId).values,[a,c]=tW(s.shape,o.shape,r,i,"float32");return e.makeTensorInfo(c,"float32",a)}const eW={kernelName:rc,backendName:"cpu",kernelFunc:By};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Uy=Wt(ni,n=>Math.max(0,n)),nW={kernelName:ni,backendName:"cpu",kernelFunc:Uy};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const _y=Wt(si,n=>Math.min(Math.max(0,n),6)),sW={kernelName:si,backendName:"cpu",kernelFunc:_y};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function bl(n,t,e,s,o){if(e==="linear")return Qn({inputs:{x:t},backend:n});if(e==="relu")return Uy({inputs:{x:t},backend:n});if(e==="elu")return Ay({inputs:{x:t},backend:n});if(e==="relu6")return _y({inputs:{x:t},backend:n});if(e==="prelu")return By({inputs:{x:t,alpha:s},backend:n});if(e==="leakyrelu")return Hy({inputs:{x:t},backend:n,attrs:{alpha:o}});if(e==="sigmoid")return Gy({inputs:{x:t},backend:n});throw new Error(`Activation ${e} has not been implemented for the CPU backend.`)}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ft(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{shape:r}=s,i=A(o.shape),a=uf(r,i),c=A(a);S(i===c,()=>`The new shape (${a}) has ${c} elements and the old shape (${o.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`),e.incRef(o.dataId);const l=e.data.get(o.dataId);if(l.complexTensorInfos!=null){const u=l.complexTensorInfos.real,d=l.complexTensorInfos.imag;u.shape=a,d.shape=a}return{dataId:o.dataId,shape:a,dtype:o.dtype}}const oW={kernelName:ac,backendName:"cpu",kernelFunc:Ft};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Yy(n){const{inputs:t,backend:e,attrs:s}=n,{a:o,b:r}=t,{transposeA:i,transposeB:a}=s;it([o,r],"matMul");const c=o.shape.length,l=r.shape.length,u=i?o.shape[c-2]:o.shape[c-1],d=a?r.shape[l-1]:r.shape[l-2],h=i?o.shape[c-1]:o.shape[c-2],p=a?r.shape[l-2]:r.shape[l-1],f=o.shape.slice(0,-2),m=r.shape.slice(0,-2),g=A(f),b=A(m),C=gt(o.shape.slice(0,-2),r.shape.slice(0,-2)).concat([h,p]);S(u===d,()=>`Error in matMul: inner shapes (${u}) and (${d}) of Tensors with shapes ${o.shape} and ${r.shape} and transposeA=${i} and transposeB=${a} must match.`);const y=i?[g,u,h]:[g,h,u],I=a?[b,p,d]:[b,d,p],w=Ft({inputs:{x:o},backend:e,attrs:{shape:y}}),k=Ft({inputs:{x:r},backend:e,attrs:{shape:I}}),v=i?w.shape[1]:w.shape[2],T=i?w.shape[2]:w.shape[1],R=a?k.shape[1]:k.shape[2],W=Math.max(g,b),E=e.data.get(w.dataId).values,K=e.data.get(k.dataId).values,Z=ct(w.shape),F=ct(k.shape),[D,H,O]=i?[Z[0],1,Z[1]]:[Z[0],Z[1],1],[B,_,Y]=a?[1,F[1],F[0]]:[F[1],1,F[0]],j=T*R,J=It([W,T,R],w.dtype),nt=J.values,q=e.blockSize;for(let rt=0;rtMath.acos(n)),lW={kernelName:vr,backendName:"cpu",kernelFunc:cW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const uW=Wt(kr,n=>Math.acosh(n)),dW={kernelName:kr,backendName:"cpu",kernelFunc:uW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function hW(n){const{inputs:t,backend:e}=n,s=t;it(t,"addN");const o=s.map(a=>e.data.get(a.dataId).values),r=It(s[0].shape,s[0].dtype),i=r.values;for(let a=0;ax&&(x=I,C=y)}p[g]=C}return l.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(u,"int32",p)}const yW={kernelName:Ia,backendName:"cpu",kernelFunc:xW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function CW(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r}=s;it(o,"argMin");let i=Ct(r,o.shape);const a=Yt(i,o.shape.length);let c=o;const l=[];a!=null&&(c=Oe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(c),i=ee(i.length,c.shape.length)),i=[i[0]],Ie("argMin",i,c.shape.length);const[u,d]=ge(c.shape,i),h=A(u),p=Te(h,"int32"),f=A(d),m=e.data.get(c.dataId).values;for(let g=0;ge.disposeIntermediateTensorInfo(g)),e.makeTensorInfo(u,"int32",p)}const IW={kernelName:wa,backendName:"cpu",kernelFunc:CW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const wW=Wt(Tr,n=>Math.asin(n)),SW={kernelName:Tr,backendName:"cpu",kernelFunc:wW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const vW=Wt(Nr,n=>Math.asinh(n)),kW={kernelName:Nr,backendName:"cpu",kernelFunc:vW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const TW=Wt(Rr,n=>Math.atan(n)),NW={kernelName:Rr,backendName:"cpu",kernelFunc:TW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const RW=oe((n,t)=>Math.atan2(n,t)),GW=pe(Lr,RW),LW={kernelName:Lr,backendName:"cpu",kernelFunc:GW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const $W=Wt(Gr,n=>Math.atanh(n)),WW={kernelName:Gr,backendName:"cpu",kernelFunc:$W};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function fp(n,t,e,s,o,r){const i=o.strideHeight,a=o.strideWidth,c=o.dilationHeight,l=o.dilationWidth,u=o.effectiveFilterHeight,d=o.effectiveFilterWidth,h=o.padInfo.top,p=o.padInfo.left,f=r==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=It(o.outShape,e),g=m.values,b=o.outShape[1]*o.outShape[2]*o.outShape[3],x=o.outShape[2]*o.outShape[3],C=o.outShape[3];for(let y=0;yH?H=q:r==="avg"&&(O+=q,B++)}if(isNaN(H))break}const _=E+K*C+k;g[_]=r==="avg"?O/B:H}}}return m}function Qy(n,t,e,s,o=!1,r=!1){const i=It(s.outShape,"int32"),a=s.strideHeight,c=s.strideWidth,l=s.dilationHeight,u=s.dilationWidth,d=s.effectiveFilterHeight,h=s.effectiveFilterWidth,p=s.padInfo.top,f=s.padInfo.left,m=It(t,e,n);for(let g=0;gR&&(R=D,o?W=r?((g*s.inHeight+E)*s.inWidth+Z)*s.inChannels+b:(E*s.inWidth+Z)*s.inChannels+b:W=K*h+F)}}i.set(W,g,x,w,b)}}return i}function Jy(n,t,e,s,o,r){const i=o.strideDepth,a=o.strideHeight,c=o.strideWidth,l=o.dilationDepth,u=o.dilationHeight,d=o.dilationWidth,h=o.effectiveFilterDepth,p=o.effectiveFilterHeight,f=o.effectiveFilterWidth,m=o.padInfo.front,g=o.padInfo.top,b=o.padInfo.left,x=r==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,C=It(o.outShape,e),y=C.values,I=o.outShape[1]*o.outShape[2]*o.outShape[3]*o.outShape[4],w=o.outShape[2]*o.outShape[3]*o.outShape[4],k=o.outShape[3]*o.outShape[4],v=o.outShape[4];for(let T=0;Tft?ft=_t:r==="avg"&&(ht+=_t,xt++),isNaN(ft))break}if(isNaN(ft))break}if(isNaN(ft))break}const yt=lt+E;y[yt]=r==="avg"?ht/Math.max(xt,1):ft}}}}return C}function XW(n,t){const e=It(t.outShape,"int32"),s=t.strideDepth,o=t.strideHeight,r=t.strideWidth,i=t.dilationDepth,a=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,u=t.effectiveFilterHeight,d=t.effectiveFilterWidth,h=t.padInfo.front,p=t.padInfo.top,f=t.padInfo.left;for(let m=0;m=K&&(K=Y,Z=D*u*d+O*u+_)}}}e.set(Z,m,b,I,T,g)}}}return e}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function MW(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t;it(o,"avgPool");const{filterSize:r,strides:i,pad:a,dimRoundingMode:c}=s,l=1;S(Ne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);const u=pn(o.shape,r,i,l,a,c);let d;if(u.filterWidth===1&&u.filterHeight===1&&Rt(u.inShape,u.outShape))d=Qn({inputs:{x:o},backend:e});else{const h=e.data.get(o.dataId).values,p=ct(o.shape),f=fp(h,o.shape,o.dtype,p,u,"avg");d=e.makeTensorInfo(u.outShape,o.dtype,f.values)}return d}const zW={kernelName:Sa,backendName:"cpu",kernelFunc:MW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function VW(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{filterSize:r,strides:i,pad:a,dimRoundingMode:c,dataFormat:l}=s;it(o,"avgPool3d");const u=ss(o.shape,r,i,1,a,c,l),d=e.data.get(o.dataId).values,h=Jy(d,o.shape,o.dtype,ct(o.shape),u,"avg");return e.makeTensorInfo(h.shape,"float32",h.values)}const EW={kernelName:va,backendName:"cpu",kernelFunc:VW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function KW(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,input:r}=t,{filterSize:i,strides:a,pad:c,dimRoundingMode:l}=s;it([o,r],"avgPool3DGrad");const u=ss(r.shape,i,a,1,c,l),d=u.strideDepth,h=u.strideHeight,p=u.strideWidth,f=u.filterDepth,m=u.filterHeight,g=u.filterWidth,b=u.dilationDepth,x=u.dilationHeight,C=u.dilationWidth,y=u.effectiveFilterDepth,I=u.effectiveFilterHeight,w=u.effectiveFilterWidth,k=y-1-u.padInfo.front,v=w-1-u.padInfo.left,T=I-1-u.padInfo.top,R=It(r.shape,"float32"),W=1/(f*m*g),E=e.bufferSync(o);for(let K=0;K=u.outDepth||Math.floor(J)!==J))for(let nt=0;nt=u.outHeight||Math.floor(q)!==q))for(let rt=0;rt=u.outWidth||Math.floor(lt)!==lt)continue;const ft=E.get(K,J,q,lt,Z);Y+=ft}}}R.set(Y*W,K,F,D,H,Z)}return e.makeTensorInfo(R.shape,R.dtype,R.values)}const ZW={kernelName:cu,backendName:"cpu",kernelFunc:KW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function FW(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,input:r}=t,i=r;it([o,r],"avgPoolGrad");const{filterSize:a,strides:c,pad:l}=s,u=pn(i.shape,a,c,1,l),d=u.strideHeight,h=u.strideWidth,p=u.filterHeight,f=u.filterWidth,m=u.dilationHeight,g=u.dilationWidth,b=u.effectiveFilterHeight,x=u.effectiveFilterWidth,C=x-1-u.padInfo.left,y=b-1-u.padInfo.top,I=It(i.shape,"float32"),w=1/(p*f),k=e.data.get(o.dataId).values,v=It(o.shape,"float32",k);for(let T=0;T=u.outHeight||Math.floor(H)!==H))for(let O=0;O=u.outWidth||Math.floor(B)!==B)continue;const _=v.get(T,H,B,R);F+=_}}I.set(F*w,T,W,E,R)}return e.makeTensorInfo(I.shape,I.dtype,I.values)}const DW={kernelName:au,backendName:"cpu",kernelFunc:FW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function PW(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,scale:r,offset:i,mean:a,variance:c}=t;S(a.shape.length===c.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),S(i==null||a.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),S(r==null||a.shape.length===r.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks."),it([o,a,c,r,i],"batchNorm");let{varianceEpsilon:l}=s;l==null&&(l=.001);const u=e.data.get(o.dataId).values,d=e.data.get(a.dataId).values,h=e.data.get(c.dataId).values,p=r?e.data.get(r.dataId).values:new Float32Array([1]),f=i?e.data.get(i.dataId).values:new Float32Array([0]),m=new Float32Array(u.length),g=f.length,b=p.length,x=h.length,C=d.length;let y=0,I=0,w=0,k=0;for(let v=0;v=g&&(y=0),I>=C&&(I=0),w>=b&&(w=0),k>=x&&(k=0);return e.makeTensorInfo(o.shape,o.dtype,m)}const OW={kernelName:Ea,backendName:"cpu",kernelFunc:PW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function AW(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{blockShape:r,crops:i}=s;it([o],"batchToSpaceND");const a=r.reduce((b,x)=>b*x),c=Vi(o.shape,r,a),l=Ei(c.length,r.length),u=Ki(o.shape,r,a),d=ah(i,r.length),h=ch(u,i,r.length),p=Ft({inputs:{x:o},backend:e,attrs:{shape:c}}),f=Oe({inputs:{x:p},backend:e,attrs:{perm:l}}),m=Ft({inputs:{x:f},backend:e,attrs:{shape:u}}),g=So({inputs:{x:m},backend:e,attrs:{begin:d,size:h}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(m),g}const HW={kernelName:Ta,backendName:"cpu",kernelFunc:AW};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function BW(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,weights:r}=t,{size:i}=s,a=e.data.get(o.dataId).values,c=e.data.get(r.dataId).values,l=lp(a,c,r.dtype,r.shape,i);return e.makeTensorInfo([i],r.dtype,l)}const UW={kernelName:lu,backendName:"cpu",kernelFunc:BW};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _W(n){const{inputs:t,backend:e}=n,{s0:s,s1:o}=t,r=e.data.get(s.dataId).values,i=e.data.get(o.dataId).values,a=gt(Array.from(r),Array.from(i));return e.makeTensorInfo([a.length],"int32",Int32Array.from(a))}const YW={kernelName:bf,backendName:"cpu",kernelFunc:_W};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const QW=Wt(Xr,(n,t)=>{const e=t;return n>e.clipValueMax?e.clipValueMax:n{const{x:t}=n.inputs,e=n.backend,s=new Float32Array(A(t.shape)),o=e.data.get(t.dataId),r=o.complexTensorInfos.real,i=o.complexTensorInfos.imag,a=e.data.get(r.dataId).values,c=e.data.get(i.dataId).values;for(let l=0;lm.shape);oh(i,r);let a=On(t.map(m=>m.shape),r);if(A(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);const c=t.filter(m=>A(m.shape)>0);if(c.length===1)return Qn({inputs:{x:c[0]},backend:e});if(c[0].dtype==="complex64"){const m=c.map(y=>Io({inputs:{input:y},backend:e})),g=c.map(y=>ar({inputs:{input:y},backend:e})),b=cr({inputs:m,backend:e,attrs:{axis:r}}),x=cr({inputs:g,backend:e,attrs:{axis:r}}),C=Qe({inputs:{real:b,imag:x},backend:e});return m.forEach(y=>e.disposeIntermediateTensorInfo(y)),g.forEach(y=>e.disposeIntermediateTensorInfo(y)),e.disposeIntermediateTensorInfo(b),e.disposeIntermediateTensorInfo(x),C}const l=c.map(m=>{const b=[-1,A(m.shape.slice(r))];return Ft({inputs:{x:m},backend:e,attrs:{shape:b}})}),u=l.map(m=>({vals:e.data.get(m.dataId).values,shape:m.shape}));a=On(l.map(m=>m.shape),1);const d=l[0].shape[0]===1,h=jx(u,a,t[0].dtype,d),p=On(c.map(m=>m.shape),r),f=e.makeTensorInfo(p,t[0].dtype,h);return l.forEach(m=>e.disposeIntermediateTensorInfo(m)),f}const tX={kernelName:Ra,backendName:"cpu",kernelFunc:cr};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function jy(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,filter:r}=t,{strides:i,pad:a,dataFormat:c,dilations:l,dimRoundingMode:u}=s;it([o,r],"conv2d");const d=os(c),h=Ce(o.shape,r.shape,i,l,a,u,!1,d),p=h.filterHeight,f=h.filterWidth,m=h.dilationHeight,g=h.dilationWidth,b=h.padInfo.left,x=h.padInfo.top,C=h.dataFormat==="channelsLast",y=new ye(h.outShape,o.dtype),I=ct(o.shape),w=ct(r.shape),k=I[0],v=C?I[1]:I[2],T=C?I[2]:1,R=C?1:I[1],W=y.strides[0],E=C?y.strides[1]:y.strides[2],K=C?y.strides[2]:1,Z=C?1:y.strides[1],F=e.data.get(o.dataId).values,D=e.data.get(r.dataId).values,H=y.values;for(let O=0;O=h.inHeight)continue;const rt=nt*w[0],lt=B+q*v;for(let ft=0;ft=h.inWidth)continue;const Dt=rt+yt*w[1],jt=lt+Xt*T;let Pt=Dt;for(let zt=0;zt=l.inDepth)continue;const O=D*T[0],B=W+H*v[1];for(let _=0;_=l.inHeight)continue;const q=O+J*T[1],rt=B+nt*v[2];for(let lt=0;lt=l.inWidth)continue;const Xt=q+xt*T[2],Dt=rt+yt*l.inChannels;let jt=Xt;for(let Pt=0;PtMath.cos(n)),pX={kernelName:Mr,backendName:"cpu",kernelFunc:hX};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const fX=Wt(zr,n=>Math.cosh(n)),mX={kernelName:zr,backendName:"cpu",kernelFunc:fX};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function gX(n){const{inputs:t,backend:e,attrs:s}=n,{image:o,boxes:r,boxInd:i}=t,{cropSize:a,method:c,extrapolationValue:l}=s,[u,d,h,p]=o.shape,f=r.shape[0],[m,g]=a,b=It([f,m,g,p],"float32"),x=e.data.get(r.dataId).values,C=e.data.get(i.dataId).values,y=e.data.get(o.dataId).values,I=ct(o.shape),w=ct(b.shape);for(let k=0;k=u)continue;const Z=m>1?(W-T)*(d-1)/(m-1):0,F=g>1?(E-R)*(h-1)/(g-1):0;for(let D=0;D1?T*(d-1)+D*Z:.5*(T+W)*(d-1);if(H<0||H>d-1){for(let O=0;O1?R*(h-1)+Y*F:.5*(R+E)*(h-1);if(j<0||j>h-1){for(let rt=0;rt1?R*(h-1)+O*F:.5*(R+E)*(h-1);if(B<0||B>h-1){for(let j=0;jb+f-x-1:(b,x)=>b+x;for(let b=0;bb+f-x-1:(b,x)=>b+x;for(let b=0;b`Only NHWC dataFormat supported on CPU for depthToSpace. Got ${i}`);const a=o.shape[0],c=o.shape[1],l=o.shape[2],u=o.shape[3],d=c*r,h=l*r,p=u/(r*r),f=e.data.get(o.dataId).values,m=new Float32Array(a*d*h*p);let g=0;for(let b=0;b`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${h}'`);const p=Ce(o.shape,r.shape,i,h,a,l,!0),{filterHeight:f,filterWidth:m,dilationHeight:g,dilationWidth:b,padInfo:x}=p,C=x.left,y=x.top,I=p.outChannels/p.inChannels,w=new ye(p.outShape,o.dtype),k=e.data.get(o.dataId).values,v=e.data.get(r.dataId).values,T=w.values;for(let R=0;R=p.inHeight)continue;const O=D*d[0],B=W+H*u[1];for(let _=0;_=p.inWidth)continue;const q=O+J*d[1],rt=B+nt*p.inChannels;let lt=Y,ft=q;for(let ht=0;ht{const{x:s,filter:o}=n,{strides:r,pad:i,dilations:a}=e,c=t,l=c.data.get(s.dataId).values,u=s.shape.length,d=c.data.get(o.dataId).values,h=o.shape.length,{batchSize:p,inHeight:f,inWidth:m,inChannels:g,outHeight:b,outWidth:x,padInfo:C,strideHeight:y,strideWidth:I,filterHeight:w,filterWidth:k,dilationHeight:v,dilationWidth:T,outShape:R}=ki(s.shape,o.shape,r,i,"NHWC",a),W=A(R),E=R.length,K=qt(s.dtype,W);for(let F=0;F=0&&nt=0&&rtY&&(Y=ht)}}}const j=En([F,D,O,_],E,ct(R));K[j]=Y}}}return{dataId:c.write(Ys(K,s.dtype),R,s.dtype),shape:R,dtype:s.dtype}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const MX={kernelName:wu,backendName:"cpu",kernelFunc:({inputs:n,backend:t,attrs:e})=>{const{x:s,filter:o,dy:r}=n,{strides:i,pad:a,dilations:c}=e,l=t,u=Sn(s.shape,l.data.get(s.dataId).values),d=Sn(o.shape,l.data.get(o.dataId).values),{batchSize:h,inHeight:p,inWidth:f,inChannels:m,outHeight:g,outWidth:b,padInfo:x,strideHeight:C,strideWidth:y,filterHeight:I,filterWidth:w,dilationHeight:k,dilationWidth:v,outShape:T}=ki(s.shape,o.shape,i,a,"NHWC",c);S(r.rank===T.length,()=>`Error in ${wu}, dy must have the same rank as output ${T.length}, but got ${r.rank}`);const R=Sn(T,l.data.get(r.dataId).values),W=pf(o.shape,o.dtype);for(let K=0;K=0&&J=0&&qB&&(B=rt,_=j,Y=nt)}}}W[_][Y][O]+=R[K][Z][D][O]}}}return{dataId:l.write(Ys(W,s.dtype),o.shape,o.dtype),shape:o.shape,dtype:o.dtype}}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const zX={kernelName:Iu,backendName:"cpu",kernelFunc:({inputs:n,backend:t,attrs:e})=>{const{x:s,filter:o,dy:r}=n,{strides:i,pad:a,dilations:c}=e,l=t,u=Sn(s.shape,l.data.get(s.dataId).values),d=Sn(o.shape,l.data.get(o.dataId).values),{batchSize:h,inHeight:p,inWidth:f,inChannels:m,outHeight:g,outWidth:b,padInfo:x,strideHeight:C,strideWidth:y,filterHeight:I,filterWidth:w,dilationHeight:k,dilationWidth:v,outShape:T}=ki(s.shape,o.shape,i,a,"NHWC",c);S(r.rank===T.length,()=>`Error in ${Iu}, dy must have the same rank as output ${T.length}, but got ${r.rank}`);const R=Sn(T,l.data.get(r.dataId).values),W=pf(s.shape,s.dtype);for(let K=0;K=0&&J=0&&qB&&(B=rt,_=J,Y=q)}}}W[K][_][Y][O]+=R[K][Z][D][O]}}}return{dataId:l.write(Ys(W,s.dtype),s.shape,s.dtype),shape:s.shape,dtype:s.dtype}}};/** * @license * Copyright 2023 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function VX(n){const{inputs:t,backend:e,attrs:s}=n,{image:o}=t,{canvas:r,options:i}=s,{contextOptions:a,imageOptions:c}=i||{},l=(c==null?void 0:c.alpha)||1,u=(a==null?void 0:a.contextType)||"2d";if(u!=="2d")throw new Error(`Context type ${a.contextType} is not supported by the CPU backend.`);const d=r.getContext(u,(a==null?void 0:a.contextAttributes)||{});if(d==null)throw new Error(`Could not get the context with ${u} type.`);const[h,p]=o.shape.slice(0,2),f=o.shape.length===2?1:o.shape[2],m=e.data.get(o.dataId).values,g=o.dtype==="float32"?255:1,b=new Uint8ClampedArray(p*h*4);for(let C=0;C1)throw new Error(`Tensor values for a float32 Tensor must be in the range [0 - 1] but encountered ${k}.`)}else if(o.dtype==="int32"&&(k<0||k>255))throw new Error(`Tensor values for a int32 Tensor must be in the range [0 - 255] but encountered ${k}.`);f===1?(y[0]=k*g,y[1]=k*g,y[2]=k*g):y[w]=k*g}const I=C*4;b[I+0]=Math.round(y[0]),b[I+1]=Math.round(y[1]),b[I+2]=Math.round(y[2]),b[I+3]=Math.round(y[3])}r.width=p,r.height=h;const x=new ImageData(b,p,h);return d.putImageData(x,0,0),o}const EX={kernelName:pI,backendName:"cpu",kernelFunc:VX};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function na(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r,keepDims:i}=s;it(o,"sum");let a;o.dtype==="bool"?a=zs({inputs:{x:o},backend:e,attrs:{dtype:"int32"}}):a=Qn({inputs:{x:o},backend:e});const c=a.shape.length,l=Ct(r,a.shape),u=Yt(l,c);let d=l,h=a;u!=null&&(h=Oe({inputs:{x:a},backend:e,attrs:{perm:u}}),d=ee(d.length,c)),Ie("sum",d,h.shape.length);const[p,f]=ge(h.shape,d),m=Ue(h.dtype,"int32");let g=fl(e,p,m);const b=A(f),x=e.data.get(g.dataId).values,C=e.data.get(h.dataId).values;for(let y=0;y=0&&(h=na({inputs:{x:h},backend:e,attrs:{axis:l[m]-(i.length-p),keepDims:!1}}),f.push(h)),p--)}for(const m of f)m!==h&&e.disposeIntermediateTensorInfo(m);return h}const FX={kernelName:Su,backendName:"cpu",kernelFunc:ZX};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function DX(n){const{inputs:t,backend:e}=n,{dy:s,y:o}=t;it([s,o],"eluGrad");const r=new Float32Array(A(o.shape)),i=e.data.get(o.dataId).values,a=e.data.get(s.dataId).values;for(let c=0;c=0?r[c]=a[c]:r[c]=a[c]*(l+1)}return e.makeTensorInfo(o.shape,"float32",r)}const PX={kernelName:vu,backendName:"cpu",kernelFunc:DX};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const OX=lh,AX=uh,HX=dh,BX=hh,UX=ph,_X=fh,YX=Wt(Kr,n=>{const t=Math.sign(n),e=Math.abs(n),s=1/(1+OX*e);return t*(1-((((_X*s+UX)*s+BX)*s+HX)*s+AX)*s*Math.exp(-e*e))}),QX={kernelName:Kr,backendName:"cpu",kernelFunc:YX};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function xl(n){const{inputs:t,backend:e,attrs:s}=n,{input:o}=t,{dim:r}=s,i=o.shape.length,a=o.shape.slice();let c=r;return r<0&&(S(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),c=i+r+1),a.splice(c,0,1),Ft({inputs:{x:o},backend:e,attrs:{shape:a}})}const JX={kernelName:Va,backendName:"cpu",kernelFunc:xl};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const jX=oe((n,t)=>n/t),mp=pe(Vr,jX),gp={kernelName:Vr,backendName:"cpu",kernelFunc:mp};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function t1(n,t,e){const s=n.shape,o=s[0],r=s[1],i=e.data.get(n.dataId),a=i.complexTensorInfos.real,c=i.complexTensorInfos.imag,l=[o,r],u=A(l),d=ke("float32",u),h=ke("float32",u);for(let g=0;g{const{image:s}=n,o=e,r=ke(s.dtype,A(s.shape)),[i,a,c,l]=s.shape,u=o.data.get(s.dataId).values;for(let h=0;h=0&&C=0,()=>`GatherV2: the index value ${I} is not in [0, ${u-1}]`)}let d=a;a==null&&(d=0);const h=A(r.shape),p=Qg(o,r,c,d),f=Ft({inputs:{x:o},backend:e,attrs:{shape:[p.batchSize,p.outerSize,p.dimSize,p.sliceSize]}}),m=Ft({inputs:{x:r},backend:e,attrs:{shape:[p.batchSize,h/p.batchSize]}}),g=[p.batchSize,p.outerSize,h/p.batchSize,p.sliceSize],b=e.bufferSync(m),x=e.bufferSync(f),C=ay(x,b,g);return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(m),e.makeTensorInfo(p.outputShape,C.dtype,C.values)}const fM={kernelName:Ka,backendName:"cpu",kernelFunc:pM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function mM(n){const{inputs:t,backend:e}=n,{input:s}=t,o=A(s.shape),r=s.shape[s.shape.length-1],i=o/r,a=Ft({inputs:{x:s},backend:e,attrs:{shape:[i,r]}}),c=t1(a,!0,e),l=Ft({inputs:{x:c},backend:e,attrs:{shape:s.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(c),l}const gM={kernelName:Ru,backendName:"cpu",kernelFunc:mM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const bM=Wt(Hr,n=>Number.isFinite(n)?1:0,"bool"),xM={kernelName:Hr,backendName:"cpu",kernelFunc:bM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const yM=Wt(Br,n=>Math.abs(n)===1/0?1:0,"bool"),CM={kernelName:Br,backendName:"cpu",kernelFunc:yM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const IM=Wt(Ur,n=>Number.isNaN(n)?1:0,"bool"),wM={kernelName:Ur,backendName:"cpu",kernelFunc:IM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function SM(n){const{backend:t,attrs:e}=n,{start:s,stop:o,num:r}=e,i=hy(s,o,r);return t.makeTensorInfo([i.length],"float32",i)}const vM={kernelName:Cf,backendName:"cpu",kernelFunc:SM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const kM=Wt(Yr,n=>Math.log1p(n)),TM={kernelName:Yr,backendName:"cpu",kernelFunc:kM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const NM=oe((n,t)=>n&&t),RM=pe(Oa,NM,null,"bool"),GM={kernelName:Oa,backendName:"cpu",kernelFunc:RM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const LM=Wt(Aa,n=>n?0:1,"bool"),$M={kernelName:Aa,backendName:"cpu",kernelFunc:LM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const WM=oe((n,t)=>n||t),XM=pe(Ha,WM,null,"bool"),MM={kernelName:Ha,backendName:"cpu",kernelFunc:XM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zM(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{depthRadius:r,bias:i,alpha:a,beta:c}=s;it(o,"LRN");const l=o.shape[3],u=l-1,d=e.data.get(o.dataId).values,h=A(o.shape),p=new Float32Array(h);function f(m){const g=m%l;let b=m-g+Math.max(0,g-r);const x=m-g+Math.min(g+r,u);let C=0;for(;b<=x;b++){const y=d[b];C+=y*y}return C}for(let m=0;m`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);const u=pn(o.shape,r,i,l,a,c);let d;if(u.filterWidth===1&&u.filterHeight===1&&Rt(u.inShape,u.outShape))d=Qn({inputs:{x:o},backend:e});else{const h=e.data.get(o.dataId).values,p=ct(o.shape),f=fp(h,o.shape,o.dtype,p,u,"max");d=e.makeTensorInfo(u.outShape,o.dtype,f.values)}return d}const DM={kernelName:_a,backendName:"cpu",kernelFunc:FM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function PM(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{filterSize:r,strides:i,pad:a,dimRoundingMode:c,dataFormat:l}=s;it(o,"maxPool3d");const u=ss(o.shape,r,i,1,a,c,l),d=e.data.get(o.dataId).values,h=Jy(d,o.shape,o.dtype,ct(o.shape),u,"max");return e.makeTensorInfo(h.shape,"float32",h.values)}const OM={kernelName:Ya,backendName:"cpu",kernelFunc:PM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function AM(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,input:r}=t,{filterSize:i,strides:a,pad:c,dimRoundingMode:l}=s;it([o,r],"maxPool3DGrad");const u=ss(r.shape,i,a,1,c,l),d=e.bufferSync(r),h=XW(d,u),p=u.strideDepth,f=u.strideHeight,m=u.strideWidth,g=u.dilationDepth,b=u.dilationHeight,x=u.dilationWidth,C=u.effectiveFilterDepth,y=u.effectiveFilterHeight,I=u.effectiveFilterWidth,w=C-1-u.padInfo.front,k=I-1-u.padInfo.left,v=y-1-u.padInfo.top,T=It(r.shape,"float32"),R=e.bufferSync(o);for(let W=0;W=u.outDepth||Math.floor(Y)!==Y))for(let j=0;j=u.outHeight||Math.floor(J)!==J))for(let nt=0;nt=u.outWidth||Math.floor(q)!==q)continue;const rt=C*y*I-1-h.get(W,Y,J,q,E),lt=_*y*I+j*I+nt,ft=rt===lt?1:0;if(ft===0)continue;const ht=R.get(W,Y,J,q,E);B+=ht*ft}}}T.set(B,W,K,Z,F,E)}return e.makeTensorInfo(T.shape,T.dtype,T.values)}const HM={kernelName:Wu,backendName:"cpu",kernelFunc:AM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function BM(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,input:r,output:i}=t,a=r;it([r,i],"maxPoolGrad");const{filterSize:c,strides:l,pad:u,dimRoundingMode:d}=s,h=pn(a.shape,c,l,1,u,d),p=e.data.get(a.dataId).values,f=It(h.outShape,a.dtype,Qy(p,a.shape,a.dtype,h).values),m=h.strideHeight,g=h.strideWidth,b=h.dilationHeight,x=h.dilationWidth,C=h.effectiveFilterHeight,y=h.effectiveFilterWidth,I=y-1-h.padInfo.left,w=C-1-h.padInfo.top,k=It(a.shape,"float32"),v=e.data.get(o.dataId).values,T=It(o.shape,"float32",v);for(let R=0;R=h.outHeight||Math.floor(O)!==O))for(let B=0;B=h.outWidth||Math.floor(_)!==_)continue;const Y=C*y-1-f.get(R,O,_,W),j=H*y+B,J=Y===j?1:0;if(J===0)continue;const nt=T.get(R,O,_,W);D+=nt*J}}k.set(D,R,E,K,W)}return e.makeTensorInfo(k.shape,k.dtype,k.values)}const UM={kernelName:$u,backendName:"cpu",kernelFunc:BM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _M(n,t,e,s,o){const r=ct(t),i=fp(n,t,e,r,o,"max"),a=Qy(n,t,e,o,!0,s);return[i.values,a.values]}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const YM={kernelName:If,backendName:"cpu",kernelFunc:({inputs:n,attrs:t,backend:e})=>{const{x:s}=n,{filterSize:o,strides:r,pad:i,includeBatchInIndex:a}=t,c=e;it(s,"MaxPoolWithArgmax");const l=c.data.get(s.dataId).values,u=pn(s.shape,o,r,[1,1],i),[d,h]=_M(l,s.shape,s.dtype,a,u),p=c.write(d,u.outShape,s.dtype),f=c.write(h,u.outShape,s.dtype);return[{dataId:p,shape:u.outShape,dtype:s.dtype},{dataId:f,shape:u.outShape,dtype:"int32"}]}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function QM(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r,keepDims:i}=s,a=Ct(r,o.shape),l=ge(o.shape,a)[1],u=A(l),d=[],h=e.makeTensorInfo([],"float32",new Float32Array([u]));d.push(h);const p=zs({inputs:{x:o},backend:e,attrs:{dtype:"float32"}});d.push(p);const f=mp({inputs:{a:p,b:h},backend:e});d.push(f);const m=na({inputs:{x:f},backend:e,attrs:{axis:r,keepDims:i}});return d.forEach(g=>e.disposeIntermediateTensorInfo(g)),m}const JM={kernelName:Qa,backendName:"cpu",kernelFunc:QM};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function jM(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r,keepDims:i}=s;it(o,"min");const a=Ct(r,o.shape);let c=a;const l=Yt(c,o.shape.length);let u=o;l!=null&&(u=Oe({inputs:{x:o},backend:e,attrs:{perm:l}}),c=ee(c.length,o.shape.length)),Ie("min",c,u.shape.length);const[d,h]=ge(u.shape,c),p=A(h),f=Te(A(d),u.dtype),m=e.data.get(u.dataId).values;for(let b=0;bC[0]+o.shape[y]+C[1]),c=r.map(C=>C[0]),l=r.map((C,y)=>C[0]+o.shape[y]),u=i==="reflect"?0:1,d=e.data.get(o.dataId).values,h=o.shape.length,p=ct(o.shape),f=A(a),m=a.length,g=ct(a),b=ke(o.dtype,f);for(let C=0;C=l[w]&&(y[w]=(l[w]-1)*2-y[w]+u);y=y.map((w,k)=>w-c[k]);const I=En(y,h,p);b[C]=d[I]}return{dataId:e.write(b,a,o.dtype),shape:a,dtype:o.dtype}}const e3={kernelName:ja,backendName:"cpu",kernelFunc:t3};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const n3=oe((n,t)=>{const e=n%t;return n<0&&t<0||n>=0&&t>=0?e:(e+t)%t}),s3=pe(jr,n3),o3={kernelName:jr,backendName:"cpu",kernelFunc:s3};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function n1(n){const{inputs:t,backend:e,attrs:s}=n,{logits:o}=t,{dim:r}=s,i=o.shape.length;let a=r;if(a===-1&&(a=i-1),a!==i-1)throw Error(`Softmax along a non-last dimension is not yet supported. Logits was rank ${i} and dim was ${a}`);const c=Ct([a],o.shape),l=e1({inputs:{x:o},backend:e,attrs:{reductionIndices:c,keepDims:!1}}),u=re(l.shape,c),d=Ft({inputs:{x:l},backend:e,attrs:{shape:u}}),h=pp({inputs:{a:o,b:d},backend:e}),p=ny({inputs:{x:h},backend:e}),f=na({inputs:{x:p},backend:e,attrs:{axis:c,keepDims:!1}}),m=Ft({inputs:{x:f},backend:e,attrs:{shape:u}}),g=mp({inputs:{a:p,b:m},backend:e});return e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(m),g}const r3={kernelName:gc,backendName:"cpu",kernelFunc:n1};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function i3(n){const{inputs:t,backend:e,attrs:s}=n,{logits:o}=t,{numSamples:r,seed:i,normalized:a}=s;it(o,"multinomial");const c=a?o:n1({inputs:{logits:o},backend:e,attrs:{dim:-1}}),l=c.shape[0],u=c.shape[1],d=e.data.get(c.dataId).values,h=[l,r],p=Te(A(h),"int32");for(let f=0;f=0&&d[h]{_l(r,u.shape,"All tensors passed to stack must have matching shapes"),S(i===u.dtype,()=>"All tensors passed to stack must have matching dtypes")});const a=[],c=t.map(u=>{const d=xl({inputs:{input:u},backend:e,attrs:{dim:o}});return a.push(d),d}),l=cr({inputs:c,backend:e,attrs:{axis:o}});return a.forEach(u=>e.disposeIntermediateTensorInfo(u)),l}const I3={kernelName:sc,backendName:"cpu",kernelFunc:o1};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function w3(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{paddings:r,constantValue:i}=s;it(o,"pad");const a=r.map((x,C)=>x[0]+o.shape[C]+x[1]),c=r.map(x=>x[0]),l=e.data.get(o.dataId).values,u=A(o.shape),d=o.shape.length,h=ct(o.shape),p=A(a),f=a.length,m=ct(a),g=ke(o.dtype,p);i!==0&&g.fill(i);for(let x=0;xw+c[k]),I=En(y,f,m);g[I]=l[x]}return{dataId:e.write(g,a,o.dtype),shape:a,dtype:o.dtype}}const r1={kernelName:oc,backendName:"cpu",kernelFunc:w3};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const S3=oe((n,t)=>Math.pow(n,t)),v3=pe(ti,S3),k3={kernelName:ti,backendName:"cpu",kernelFunc:v3};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function T3(n){const{inputs:t,backend:e,attrs:s}=n,{paramsNestedSplits:o,paramsDenseValues:r,indices:i}=t,{outputRaggedRank:a}=s,c=o.map(b=>e.data.get(b.dataId).values),l=o.map(b=>b.shape),u=e.data.get(r.dataId).values,d=e.data.get(i.dataId).values,[h,p,f]=Iy(c,l,u,r.shape,r.dtype,d,i.shape),m=h.map(b=>e.makeTensorInfo([b.length],"int32",b)),g=e.makeTensorInfo(f,r.dtype,p);return m.concat([g])}const N3={kernelName:Sf,backendName:"cpu",kernelFunc:T3};/** * @license * Copyright 2022 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function R3(n){const{inputs:t,backend:e}=n,{starts:s,limits:o,deltas:r}=t,i=e.data.get(s.dataId).values,a=e.data.get(o.dataId).values,c=e.data.get(r.dataId).values,[l,u]=Sy(i,s.shape,s.dtype,a,o.shape,c,r.shape),d=e.makeTensorInfo([l.length],"int32",l),h=e.makeTensorInfo([u.length],s.dtype,u);return[d,h]}const G3={kernelName:vf,backendName:"cpu",kernelFunc:R3};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function L3(n){const{inputs:t,backend:e,attrs:s}=n,{shape:o,values:r,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:c}=s,l=e.data.get(o.dataId).values,u=e.data.get(r.dataId).values,d=e.data.get(i.dataId).values,h=a.map(g=>e.data.get(g.dataId).values),p=a.map(g=>g.shape),[f,m]=Ty(l,o.shape,u,r.shape,r.dtype,d,i.shape,h,p,c);return e.makeTensorInfo(f,r.dtype,m)}const $3={kernelName:kf,backendName:"cpu",kernelFunc:L3};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function W3(n){const{backend:t,attrs:e}=n,{start:s,stop:o,dtype:r,step:i}=e,a=Ny(s,o,i,r);return t.makeTensorInfo([a.length],r,a)}const X3={kernelName:Vu,backendName:"cpu",kernelFunc:W3};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const M3=Wt(ei,n=>1/n),z3={kernelName:ei,backendName:"cpu",kernelFunc:M3};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function V3(n){const{inputs:t,backend:e,attrs:s}=n,{images:o}=t,{alignCorners:r,halfPixelCenters:i,size:a}=s;it(o,"resizeBilinear");const c=ct(o.shape),[l,u]=a,[d,h,p,f]=o.shape,m=e.data.get(o.dataId).values,g=new Float32Array(A([d,l,u,f])),b=[r&&l>1?h-1:h,r&&u>1?p-1:p],x=[r&&l>1?l-1:l,r&&u>1?u-1:u];let C=0;const y=b[0]/x[0],I=b[1]/x[1];for(let w=0;w1?l-1:l,i&&p>1?u-1:u],g=[i&&h>1?h-1:h,i&&p>1?p-1:p],b=m[0]/g[0],x=m[1]/g[1],C=e.data.get(r.dataId).values;let y=0;for(let I=0;I1?h-1:h,r&&u>1?p-1:p],x=[r&&l>1?l-1:l,r&&u>1?u-1:u],C=b[0]/x[0],y=b[1]/x[1];let I=0;for(let w=0;w1?u-1:u,i&&f>1?d-1:d],x=[i&&p>1?p-1:p,i&&f>1?f-1:f],C=b[0]/x[0],y=b[1]/x[1],I=1/C,w=1/y,k=Math.ceil(I)*2+2,v=Math.ceil(w)*2+2;for(let T=0;T=p)continue;const J=R+j*c[1],nt=j*C,q=Math.min(u-1,i?Math.round(nt):Math.floor(nt));if(W===q)for(let rt=0;rt=f)continue;const ft=J+lt*c[2],ht=lt*y,xt=Math.min(d-1,i?Math.round(ht):Math.floor(ht));F===xt&&(_+=g[ft+B])}}m[D+B]=_}}}}return e.makeTensorInfo(o.shape,o.dtype,m)}const O3={kernelName:Ku,backendName:"cpu",kernelFunc:P3};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function A3(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{dims:r}=s;it(o,"reverse");const i=o.shape.length,a=Ct(r,o.shape);if(i===0)return Qn({inputs:{x:o},backend:e});const c=new ye(o.shape,o.dtype),l=e.bufferSync(o);for(let u=0;uh[p]=o.shape[p]-1-h[p]),c.set(l.get(...h),...d)}return e.makeTensorInfo(c.shape,c.dtype,c.values)}const H3={kernelName:uc,backendName:"cpu",kernelFunc:A3};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const B3={kernelName:Uu,backendName:"cpu",kernelFunc:({inputs:n,attrs:t,backend:e})=>{const{image:s}=n,{radians:o,fillValue:r,center:i}=t,a=e,c=ke(s.dtype,A(s.shape)),[l,u,d,h]=s.shape,[p,f]=ih(i,u,d),m=255,g=Math.sin(o),b=Math.cos(o),x=a.data.get(s.dataId).values;for(let y=0;y=0&&Z=0&&F{const t=Math.floor(n);return n-t<.5?Math.floor(n):n-t>.5?Math.ceil(n):t%2===0?t:t+1}),_3={kernelName:oi,backendName:"cpu",kernelFunc:U3};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Y3(n){const{inputs:t,backend:e,attrs:s}=n,{indices:o,updates:r}=t,{shape:i}=s,{sliceRank:a,numUpdates:c,sliceSize:l,strides:u,outputSize:d}=lo(r,o,i),h=!0,p=e.bufferSync(o),f=e.bufferSync(r),m=wo(p,f,i,d,l,c,a,u,0,h);return e.makeTensorInfo(i,m.dtype,m.values)}const Q3={kernelName:Tf,backendName:"cpu",kernelFunc:Y3};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function J3(n,t){let e=0,s=n.length,o=0;for(;e1||o.shape.length===1?1:A(o.shape.slice(1));for(let f=0;fn>=0?rz*n:oz*(Math.exp(n)-1)),az={kernelName:ii,backendName:"cpu",kernelFunc:iz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const cz=Wt(li,n=>n<0?-1:n>0?1:0),lz={kernelName:li,backendName:"cpu",kernelFunc:cz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const uz=Wt(ai,n=>Math.sin(n)),dz={kernelName:ai,backendName:"cpu",kernelFunc:uz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const hz=Wt(ci,n=>Math.sinh(n)),pz={kernelName:ci,backendName:"cpu",kernelFunc:hz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const i1=Math.log(11920928955078125e-23)+2,fz=Wt(di,n=>{const t=n>-i1,e=nNumber(g)))),e.makeTensorInfo([m.length],s.dtype,new Int32Array(m))]}const yz={kernelName:Gf,backendName:"cpu",kernelFunc:xz};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Cz(n){const{inputs:t,backend:e}=n,{inputIndices:s,inputShape:o,newShape:r}=t;if(s.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${s.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${o.shape}`);if(r.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${r.shape}`);const i=Array.from(e.data.get(o.dataId).values),a=e.data.get(s.dataId).values,c=Array.from(e.data.get(r.dataId).values),[l,u,d]=Wy(a,s.shape,s.dtype,i,c);return[e.makeTensorInfo(u,s.dtype,l),e.makeTensorInfo([d.length],r.dtype,new Int32Array(d))]}const Iz={kernelName:Lf,backendName:"cpu",kernelFunc:Cz};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function wz(n){const{inputs:t,backend:e}=n,{data:s,indices:o,segmentIds:r}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${o.shape}`);if(r.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape ${r.shape}`);if(o.shape[0]!==r.shape[0])throw new Error("segmentIds and indices should have same size.");const i=e.data.get(s.dataId).values,a=e.data.get(o.dataId).values,c=e.data.get(r.dataId).values,[l,u]=hp(i,s.shape,s.dtype,a,c,!0);return e.makeTensorInfo(u,s.dtype,l)}const Sz={kernelName:$f,backendName:"cpu",kernelFunc:wz};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function vz(n){const{inputs:t,backend:e}=n,{data:s,indices:o,segmentIds:r}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${o.shape}`);if(r.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape ${r.shape}`);if(o.shape[0]!==r.shape[0])throw new Error("segmentIds and indices should have same size.");const i=e.data.get(s.dataId).values,a=e.data.get(o.dataId).values,c=e.data.get(r.dataId).values,[l,u]=hp(i,s.shape,s.dtype,a,c);return e.makeTensorInfo(u,s.dtype,l)}const kz={kernelName:Wf,backendName:"cpu",kernelFunc:vz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Tz(n){const{inputs:t,backend:e,attrs:s}=n,{sparseIndices:o,sparseValues:r,defaultValue:i}=t,{outputShape:a}=s,{sliceRank:c,numUpdates:l,sliceSize:u,strides:d,outputSize:h}=lo(r,o,a),p=!1,f=e.bufferSync(o);let m;switch(r.dtype){case"bool":{const g=e.bufferSync(r),b=!!e.data.get(i.dataId).values[0];m=wo(f,g,a,h,u,l,c,d,b,p);break}case"float32":{const g=e.bufferSync(r),b=e.data.get(i.dataId).values[0];m=wo(f,g,a,h,u,l,c,d,b,p);break}case"int32":{const g=e.bufferSync(r),b=e.data.get(i.dataId).values[0];m=wo(f,g,a,h,u,l,c,d,b,p);break}case"string":{const g=e.bufferSync(r),b=xs(e.data.get(i.dataId).values[0]);m=wo(f,g,a,h,u,l,c,d,b,p);break}default:throw new Error(`Unsupported type ${r.dtype}`)}return e.makeTensorInfo(a,m.dtype,m.values)}const Nz={kernelName:Xf,backendName:"cpu",kernelFunc:Tz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Rz(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{numOrSizeSplits:r,axis:i}=s,a=Ct(i,o.shape)[0],c=wh(o,r,a),l=new Array(o.shape.length).fill(0),u=o.shape.slice();return c.map(d=>{const h=[...u];h[a]=d;const p=So({inputs:{x:o},backend:e,attrs:{begin:l,size:h}});return l[a]+=d,p})}const Gz={kernelName:mc,backendName:"cpu",kernelFunc:Rz};/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Lz={kernelName:Fu,backendName:"cpu",kernelFunc:({inputs:n,backend:t})=>{const{x:e}=n,s=t;it(e,"square");const o=s.data.get(e.dataId).values,r=new Float32Array(o.length);for(let a=0;a{const e=t;return isNaN(n)?NaN:n>0?1:e.alpha}),Wz={kernelName:xi,backendName:"cpu",kernelFunc:$z};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Xz(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{begin:r,end:i,strides:a,beginMask:c,endMask:l,ellipsisMask:u,newAxisMask:d,shrinkAxisMask:h}=s;it(o,"stridedSlice");const{finalShapeSparse:p,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:b,begin:x,end:C,strides:y}=kg(o.shape,r,i,a,c,l,u,d,h);let I;if(m)I=Ft({inputs:{x:o},backend:e,attrs:{shape:f}});else if(g||b){S(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);const w=wg(x,C,y),k=So({inputs:{x:o},backend:e,attrs:{begin:x,size:w}});I=Ft({inputs:{x:k},backend:e,attrs:{shape:f}}),e.disposeIntermediateTensorInfo(k)}else{const w=e.bufferSync(o),k=zy(p,w,y,x);I=e.makeTensorInfo(f,k.dtype,k.values)}return I}const Mz={kernelName:Pu,backendName:"cpu",kernelFunc:Xz};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zz(n){const{inputs:t,backend:e,attrs:s}=n,{separator:o,nGramWidths:r,leftPad:i,rightPad:a,padWidth:c,preserveShortSequences:l}=s,{data:u,dataSplits:d}=t,h=e.data.get(u.dataId).values,p=e.data.get(d.dataId).values,[f,m]=Vy(h,p,o,r,i,a,c,l);return[e.makeTensorInfo([f.length],"string",f),e.makeTensorInfo(d.shape,"int32",m)]}const Vz={kernelName:Mf,backendName:"cpu",kernelFunc:zz};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Ez(n){const{inputs:t,backend:e,attrs:s}=n,{skipEmpty:o}=s,{input:r,delimiter:i}=t;if(r.dtype!=="string")throw new Error("Input must be of datatype string");if(r.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${r.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);const a=e.data.get(r.dataId).values,c=e.data.get(i.dataId).values[0],[l,u,d]=Ey(a,c,o),h=u.length;return[e.makeTensorInfo([h,2],"int32",l),e.makeTensorInfo([h],"string",u),e.makeTensorInfo([2],"int32",new Int32Array(d))]}const Kz={kernelName:zf,backendName:"cpu",kernelFunc:Ez};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Zz(n){const{inputs:t,backend:e,attrs:s}=n,{numBuckets:o}=s,{input:r}=t;if(r.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");const i=e.data.get(r.dataId).values,a=Ky(i,o);return e.makeTensorInfo(r.shape,"int32",a)}const Fz={kernelName:Vf,backendName:"cpu",kernelFunc:Zz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Dz=Wt(mi,n=>Math.tan(n)),Pz={kernelName:mi,backendName:"cpu",kernelFunc:Dz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Oz=Wt(gi,n=>Math.tanh(n)),Az={kernelName:gi,backendName:"cpu",kernelFunc:Oz};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Hz(n){const{inputs:t,backend:e}=n,{tensor:s,indices:o,updates:r}=t,{sliceRank:i,numUpdates:a,sliceSize:c,strides:l,outputSize:u}=lo(r,o,s.shape),d=!1,h=e.bufferSync(o),p=e.bufferSync(r),f=e.bufferSync(s),m=wo(h,p,s.shape,u,c,a,i,l,f,d);return e.makeTensorInfo(s.shape,m.dtype,m.values)}const Bz={kernelName:Nf,backendName:"cpu",kernelFunc:Hz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Uz(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{reps:r}=s;it(o,"tile");const i=Fy(e.bufferSync(o),r);return e.makeTensorInfo(i.shape,i.dtype,i.values)}const _z={kernelName:bi,backendName:"cpu",kernelFunc:Uz};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Yz(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{k:r,sorted:i}=s;it(o,"topk");const a=e.data.get(o.dataId).values,[c,l]=Py(a,o.shape,o.dtype,r,i);return[e.makeTensorInfo(c.shape,c.dtype,c.values),e.makeTensorInfo(l.shape,l.dtype,l.values)]}const Qz={kernelName:Ou,backendName:"cpu",kernelFunc:Yz};/** * @license * Copyright 2021 Google LLC. 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t=zn(n);if(n===1){if(!In(t,"OES_texture_float"))return!1}else if(!In(t,"EXT_color_buffer_float"))return!1;return vp(t)}function OV(n){if(n===0)return!1;const t=zn(n);if(n===1){if(!In(t,"OES_texture_float")||!In(t,"WEBGL_color_buffer_float"))return!1}else{if(In(t,"EXT_color_buffer_float"))return vp(t);const s="EXT_color_buffer_half_float";if(In(t,s)){const o=t.getExtension(s);return AV(t,o)}return!1}return vp(t)}function vp(n){const t=yp(n),e=n.createTexture();n.bindTexture(n.TEXTURE_2D,e),n.texImage2D(n.TEXTURE_2D,0,t.internalFormatFloat,1,1,0,t.textureFormatFloat,t.textureTypeFloat,null);const r=n.createFramebuffer();n.bindFramebuffer(n.FRAMEBUFFER,r),n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,e,0);const i=n.checkFramebufferStatus(n.FRAMEBUFFER)===n.FRAMEBUFFER_COMPLETE;return n.bindTexture(n.TEXTURE_2D,null),n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteTexture(e),n.deleteFramebuffer(r),i}function AV(n,t){const e=yp(n,t),s=n.createTexture();n.bindTexture(n.TEXTURE_2D,s),n.texImage2D(n.TEXTURE_2D,0,e.internalFormatHalfFloat,1,1,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);const i=n.createFramebuffer();n.bindFramebuffer(n.FRAMEBUFFER,i),n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,s,0);const a=n.checkFramebufferStatus(n.FRAMEBUFFER)===n.FRAMEBUFFER_COMPLETE;return n.bindTexture(n.TEXTURE_2D,null),n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteTexture(s),n.deleteFramebuffer(i),a}function HV(n){return n!==2?!1:zn(n).fenceSync!=null}function ia(n,t){Array.isArray(n)||(n=[n]),n.forEach(e=>{e!=null&&S(e.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the WebGL backend.`)})}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const at=V();at.registerFlag("HAS_WEBGL",()=>at.getNumber("WEBGL_VERSION")>0),at.registerFlag("WEBGL_VERSION",()=>d1(2)?2:d1(1)?1:0),at.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",()=>!1),at.registerFlag("WEBGL_BUFFER_SUPPORTED",()=>at.get("WEBGL_VERSION")===2),at.registerFlag("WEBGL_CPU_FORWARD",()=>!0),at.registerFlag("WEBGL_FORCE_F16_TEXTURES",()=>!1),at.registerFlag("WEBGL_PACK",()=>at.getBool("HAS_WEBGL")),at.registerFlag("WEBGL_PACK_NORMALIZATION",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_PACK_CLIP",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_PACK_DEPTHWISECONV",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_PACK_REDUCE",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_LAZILY_UNPACK",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_CONV_IM2COL",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_PACK_CONV2DTRANSPOSE",()=>at.getBool("WEBGL_PACK")),at.registerFlag("WEBGL_MAX_TEXTURE_SIZE",()=>ZV(at.getNumber("WEBGL_VERSION"))),at.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",()=>FV(at.getNumber("WEBGL_VERSION"))),at.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",()=>{const n=at.getNumber("WEBGL_VERSION");return n===0?0:DV(n)}),at.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",()=>at.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!dm()),at.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",()=>PV(at.getNumber("WEBGL_VERSION"))),at.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",()=>at.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:at.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")),at.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",()=>OV(at.getNumber("WEBGL_VERSION"))),at.registerFlag("WEBGL_FENCE_API_ENABLED",()=>HV(at.getNumber("WEBGL_VERSION"))),at.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",()=>at.getBool("WEBGL_RENDER_FLOAT32_ENABLED")?4:0),at.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",()=>-1,n=>{if(typeof n!="number")throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be a number but got ${n}.`);if(n<0&&n!==-1)throw new Error(`WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never delete) or at least 0, but got ${n}.`)}),at.registerFlag("WEBGL_FLUSH_THRESHOLD",()=>dm()?1:-1,n=>{if(typeof n!="number")throw new Error(`WEBGL_FLUSH_THRESHOLD must be a number but got ${n}.`);if(n<0&&n!==-1)throw new Error(`WEBGL_FLUSH_THRESHOLD must be -1 (indicating never manual flush) or at least 0, but got ${n}.`)}),at.registerFlag("CPU_HANDOFF_SIZE_THRESHOLD",()=>128),at.registerFlag("WEBGL_USE_SHAPES_UNIFORMS",()=>!1),at.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD",()=>1e5),at.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD",()=>128),at.registerFlag("WEBGL_EXP_CONV",()=>!1),at.registerFlag("SOFTWARE_WEBGL_ENABLED",()=>at.getBool("IS_TEST")),at.registerFlag("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE",()=>1/0),at.registerFlag("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE",()=>!1),at.registerFlag("WEBGL2_ISNAN_CUSTOM",()=>!1),at.registerFlag("ENGINE_COMPILE_ONLY",()=>!1);/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Me(){let n,t,e,s,o,r,i,a,c,l;return V().getNumber("WEBGL_VERSION")===2?(n="#version 300 es",t="in",e="out",s="in",o="texture",r="outputColor",i="out vec4 outputColor;",a=V().getBool("WEBGL2_ISNAN_CUSTOM")?` bool isnan_custom(float val) { uint floatToUint = floatBitsToUint(val); return (floatToUint & 0x7fffffffu) > 0x7f800000u; } bvec4 isnan_custom(vec4 val) { return bvec4(isnan_custom(val.x), isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w)); } #define isnan(value) isnan_custom(value) `:"",c="",l=` #define round(value) newRound(value) int newRound(float value) { return int(floor(value + 0.5)); } ivec4 newRound(vec4 value) { return ivec4(floor(value + vec4(0.5))); } `):(n="",t="attribute",e="varying",s="varying",o="texture2D",r="gl_FragColor",i="",a=` #define isnan(value) isnan_custom(value) bool isnan_custom(float val) { return (val > 0. || val < 1. || val == 0.) ? false : true; } bvec4 isnan_custom(vec4 val) { return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w)); } `,c=` uniform float INFINITY; bool isinf(float val) { return abs(val) == INFINITY; } bvec4 isinf(vec4 val) { return equal(abs(val), vec4(INFINITY)); } `,l=` int round(float value) { return int(floor(value + 0.5)); } ivec4 round(vec4 value) { return ivec4(floor(value + vec4(0.5))); } `),{version:n,attribute:t,varyingVs:e,varyingFs:s,texture2D:o,output:r,defineOutput:i,defineSpecialNaN:a,defineSpecialInf:c,defineRound:l}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ko(n,t,e="index"){const s=ct(t);return s.map((o,r)=>{const i=`int ${n[r]} = ${e} / ${o}`,a=r===s.length-1?`int ${n[r+1]} = ${e} - ${n[r]} * ${o}`:`index -= ${n[r]} * ${o}`;return`${i}; ${a};`}).join("")}function Nl(n,t,e="index"){const s=ct(t);return s.map((o,r)=>{const i=`int ${n[r]} = ${e} / outShapeStrides[${r}]`,a=r===s.length-1?`int ${n[r+1]} = ${e} - ${n[r]} * outShapeStrides[${r}]`:`index -= ${n[r]} * outShapeStrides[${r}]`;return`${i}; ${a};`}).join("")}function BV(n,t){const e=n.length,s=n.map(r=>`${t}[${r}]`),o=new Array(e-1);o[e-2]=s[e-1];for(let r=e-3;r>=0;--r)o[r]=`(${o[r+1]} * ${s[r+1]})`;return o}function UV(n,t,e="index"){const s=n.map((r,i)=>i),o=BV(s,t);return o.map((r,i)=>{const a=`int ${n[i]} = ${e} / ${o[i]}`,c=i===o.length-1?`int ${n[i+1]} = ${e} - ${n[i]} * ${o[i]}`:`index -= ${n[i]} * ${o[i]}`;return`${a}; ${c};`}).join("")}function kp(n){const t=ct(n).map(e=>e.toString());return` int getFlatIndex(ivec3 coords) { return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z; } `}function Tp(){return` int getFlatIndex(ivec3 coords) { return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z; } `}const h1=` const float FLOAT_MAX = 1.70141184e38; const float FLOAT_MIN = 1.17549435e-38; lowp vec4 encode_float(highp float v) { if (isnan(v)) { return vec4(255, 255, 255, 255); } highp float av = abs(v); if(av < FLOAT_MIN) { return vec4(0.0, 0.0, 0.0, 0.0); } else if(v > FLOAT_MAX) { return vec4(0.0, 0.0, 128.0, 127.0) / 255.0; } else if(v < -FLOAT_MAX) { return vec4(0.0, 0.0, 128.0, 255.0) / 255.0; } highp vec4 c = vec4(0,0,0,0); highp float e = floor(log2(av)); highp float m = exp2(fract(log2(av))) - 1.0; c[2] = floor(128.0 * m); m -= c[2] / 128.0; c[1] = floor(32768.0 * m); m -= c[1] / 32768.0; c[0] = floor(8388608.0 * m); highp float ebias = e + 127.0; c[3] = floor(ebias / 2.0); ebias -= c[3] * 2.0; c[2] += floor(ebias) * 128.0; c[3] += 128.0 * step(0.0, -v); return c / 255.0; } `;/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const{getBroadcastDims:p1}=PT;function _V(n,t,e){const s=[];if(n.forEach(p=>{const f=A(p.shapeInfo.logicalShape);if(p.shapeInfo.isUniform?s.push(`uniform float ${p.name}${f>1?`[${f}]`:""};`):(s.push(`uniform sampler2D ${p.name};`),s.push(`uniform int offset${p.name};`)),e.enableShapeUniforms){const{uniformShape:m}=Np(e.packedInputs,p.shapeInfo.logicalShape,p.shapeInfo.texShape);switch(m.length){case 1:s.push(`uniform int ${p.name}Shape;`);break;case 2:s.push(`uniform ivec2 ${p.name}Shape;`);break;case 3:s.push(`uniform ivec3 ${p.name}Shape;`);break;case 4:s.push(`uniform ivec4 ${p.name}Shape;`);break}s.push(`uniform ivec2 ${p.name}TexShape;`)}}),e.enableShapeUniforms){switch(t.logicalShape.length){case 1:s.push("uniform int outShape;");break;case 2:s.push("uniform ivec2 outShape;"),s.push("uniform int outShapeStrides;");break;case 3:s.push("uniform ivec3 outShape;"),s.push("uniform ivec2 outShapeStrides;");break;case 4:s.push("uniform ivec4 outShape;"),s.push("uniform ivec3 outShapeStrides;");break}s.push("uniform ivec2 outTexShape;")}e.customUniforms&&e.customUniforms.forEach(p=>{s.push(`uniform ${p.type} ${p.name}${p.arrayIndex?`[${p.arrayIndex}]`:""};`)});const o=s.join(` `),r=n.map(p=>YV(p,t,e.packedInputs,e.enableShapeUniforms)).join(` `),i=t.texShape,a=Me(),c=jV(a);let l,u,d=eE(a);return t.isPacked?(l=QV(t.logicalShape,i,e.enableShapeUniforms),u=tE(a)):(l=JV(t.logicalShape,i,e.enableShapeUniforms),u=qV(a)),e.packedInputs&&(d+=rE),[d,c,u,o,l,r,e.userCode].join(` `)}function hr(n,t=!1){const e=n.shapeInfo.logicalShape;switch(e.length){case 0:return bE(n,t);case 1:return yE(n,t);case 2:return IE(n,t);case 3:return SE(n,t);case 4:return kE(n,t);case 5:return TE(n);case 6:return NE(n);default:throw new Error(`${e.length}-D input sampling is not yet supported`)}}function f1(n,t){switch(n.shapeInfo.logicalShape.length){case 0:return gE(n);case 1:return xE(n,t);case 2:return CE(n,t);case 3:return wE(n,t);default:return vE(n,t)}}function YV(n,t,e=!1,s){let o="";e?o+=f1(n,s):o+=hr(n,s);const r=n.shapeInfo.logicalShape,i=t.logicalShape;return r.length<=i.length&&(e?o+=RE(n,t):o+=GE(n,t)),o}function QV(n,t,e){switch(n.length){case 0:return m1();case 1:return iE(n,t,e);case 2:return fE(n,t,e);case 3:return cE(n,t,e);default:return uE(n,t,e)}}function JV(n,t,e){switch(n.length){case 0:return m1();case 1:return aE(n,t,e);case 2:return mE(n,t,e);case 3:return lE(n,t,e);case 4:return dE(n,t,e);case 5:return hE(n,t);case 6:return pE(n,t);default:throw new Error(`${n.length}-D output sampling is not yet supported`)}}function jV(n){return` float sampleTexture(sampler2D textureSampler, vec2 uv) { return ${n.texture2D}(textureSampler, uv).r; } `}function qV(n){return` void setOutput(float val) { ${n.output} = vec4(val, 0, 0, 0); } `}function tE(n){return` void setOutput(vec4 val) { ${n.output} = val; } `}function eE(n){return`${n.version} precision highp float; precision highp int; precision highp sampler2D; ${n.varyingFs} vec2 resultUV; ${n.defineOutput} const vec2 halfCR = vec2(0.5, 0.5); struct ivec5 { int x; int y; int z; int w; int u; }; struct ivec6 { int x; int y; int z; int w; int u; int v; }; uniform float NAN; ${n.defineSpecialNaN} ${n.defineSpecialInf} ${n.defineRound} int imod(int x, int y) { return x - y * (x / y); } int idiv(int a, int b, float sign) { int res = a / b; int mod = imod(a, b); if (sign < 0. && mod != 0) { res -= 1; } return res; } //Based on the work of Dave Hoskins //https://www.shadertoy.com/view/4djSRW #define HASHSCALE1 443.8975 float random(float seed){ vec2 p = resultUV * seed; vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1); p3 += dot(p3, p3.yzx + 19.19); return fract((p3.x + p3.y) * p3.z); } ${nE} ${sE} ${oE} `}const nE=` vec2 uvFromFlat(int texNumR, int texNumC, int index) { int texR = index / texNumC; int texC = index - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } vec2 packedUVfrom1D(int texNumR, int texNumC, int index) { int texelIndex = index / 2; int texR = texelIndex / texNumC; int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } `,sE=` vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR, int texNumC, int row, int col) { int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2); int texR = texelIndex / texNumC; int texC = texelIndex - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } `,oE=` vec2 packedUVfrom3D(int texNumR, int texNumC, int texelsInBatch, int texelsInLogicalRow, int b, int row, int col) { int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2); int texR = index / texNumC; int texC = index - texR * texNumC; return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR); } `,rE=` float getChannel(vec4 frag, vec2 innerDims) { vec2 modCoord = mod(innerDims, 2.); return modCoord.x == 0. ? (modCoord.y == 0. ? frag.r : frag.g) : (modCoord.y == 0. ? frag.b : frag.a); } float getChannel(vec4 frag, int dim) { float modCoord = mod(float(dim), 2.); return modCoord == 0. ? frag.r : frag.g; } `;function m1(){return` int getOutputCoords() { return 0; } `}function iE(n,t,e){const s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return s[0]===1?e?` int getOutputCoords() { return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0)); } `:` int getOutputCoords() { return 2 * int(resultUV.x * ${s[1]}.0); } `:s[1]===1?e?` int getOutputCoords() { return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0)); } `:` int getOutputCoords() { return 2 * int(resultUV.y * ${s[0]}.0); } `:e?` int getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); ivec2 resTexRC = ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1])); return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y); } `:` int getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${s[0]}, ${s[1]})); return 2 * (resTexRC.x * ${s[1]} + resTexRC.y); } `}function aE(n,t,e){return t[0]===1?e?` int getOutputCoords() { return int(resultUV.x * float(outTexShape[1])); } `:` int getOutputCoords() { return int(resultUV.x * ${t[1]}.0); } `:t[1]===1?e?` int getOutputCoords() { return int(resultUV.y * float(outTexShape[0])); } `:` int getOutputCoords() { return int(resultUV.y * ${t[0]}.0); } `:e?` int getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); return resTexRC.x * outTexShape[1] + resTexRC.y; } `:` int getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); return resTexRC.x * ${t[1]} + resTexRC.y; } `}function cE(n,t,e){if(e)return` ivec3 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0)); int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0)); ivec2 resTexRC = ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1])); int index = resTexRC.x * packedTexShape[1] + resTexRC.y; int b = index / texelsInBatch; index -= b * texelsInBatch; int r = 2 * (index / texelsInLogicalRow); int c = imod(index, texelsInLogicalRow) * 2; return ivec3(b, r, c); } `;const s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(n[2]/2),r=o*Math.ceil(n[1]/2);return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${s[0]}, ${s[1]})); int index = resTexRC.x * ${s[1]} + resTexRC.y; int b = index / ${r}; index -= b * ${r}; int r = 2 * (index / ${o}); int c = imod(index, ${o}) * 2; return ivec3(b, r, c); } `}function lE(n,t,e){if(e)return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1])); int index = resTexRC.x * outTexShape[1] + resTexRC.y; ${Nl(["r","c","d"],n)} return ivec3(r, c, d); } `;const s=ko(["r","c","d"],n);return` ivec3 getOutputCoords() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]})); int index = resTexRC.x * ${t[1]} + resTexRC.y; ${s} return ivec3(r, c, d); } `}function uE(n,t,e){if(e)return` ivec4 getOutputCoords() { ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0)); ivec2 resTexRC = ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1])); int index = resTexRC.x * packedTexShape[1] + resTexRC.y; int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0)); int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0)); int texelsInBatchN = texelsInBatch * outShape[1]; int b2 = index / texelsInBatchN; index -= b2 * texelsInBatchN; int b = index / texelsInBatch; index -= b * texelsInBatch; int r = 2 * (index / texelsInLogicalRow); int c = imod(index, texelsInLogicalRow) * 2; return ivec4(b2, b, r, c); } `;const s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(n[n.length-1]/2),r=o*Math.ceil(n[n.length-2]/2);let i=r,a="",c="b, r, c";for(let l=2;l=1?u="coords = 0;":u=a.map(x=>`coords.${d[x+l]} = 0;`).join(` `);let h="";i<2&&r>0?h="coords":h=n.shapeInfo.logicalShape.map((x,C)=>`coords.${d[C+l]}`).join(", ");let p="return outputValue;";const m=A(n.shapeInfo.logicalShape)===1,b=A(t.logicalShape)===1;if(r===1&&!m&&!b)p=` return vec4(outputValue.xy, outputValue.xy); `;else if(m&&!b)i===1?p=` return vec4(outputValue.x, outputValue.x, 0., 0.); `:p=` return vec4(outputValue.x); `;else if(a.length){const x=r-2,C=r-1;a.indexOf(x)>-1&&a.indexOf(C)>-1?p="return vec4(outputValue.x);":a.indexOf(x)>-1?p="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":a.indexOf(C)>-1&&(p="return vec4(outputValue.xx, outputValue.zz);")}return` vec4 ${o}() { ${c} coords = getOutputCoords(); ${u} vec4 outputValue = get${s}(${h}); ${p} } `}function GE(n,t){const e=n.name,s=e.charAt(0).toUpperCase()+e.slice(1),o="get"+s+"AtOutCoords",r=t.texShape,i=n.shapeInfo.texShape,a=n.shapeInfo.logicalShape.length,c=t.logicalShape.length;if(!n.shapeInfo.isUniform&&a===c&&n.shapeInfo.flatOffset==null&&Rt(i,r))return` float ${o}() { return sampleTexture(${e}, resultUV); } `;const l=Mt(c),u=p1(n.shapeInfo.logicalShape,t.logicalShape),d=c-a;let h;const p=["x","y","z","w","u","v"];a===0?h="":c<2&&u.length>=1?h="coords = 0;":h=u.map(m=>`coords.${p[m+d]} = 0;`).join(` `);let f="";return c<2&&a>0?f="coords":f=n.shapeInfo.logicalShape.map((m,g)=>`coords.${p[g+d]}`).join(", "),` float ${o}() { ${l} coords = getOutputCoords(); ${h} return get${s}(${f}); } `}function Mt(n){if(n<=1)return"int";if(n===2)return"ivec2";if(n===3)return"ivec3";if(n===4)return"ivec4";if(n===5)return"ivec5";if(n===6)return"ivec6";throw Error(`GPU for rank ${n} is not yet supported`)}function Np(n,t,e){const{newShape:s,keptDims:o}=fs(t),r=t.length,i=n&&r===3&&t[0]===1,a=i?t.slice(1):s,c=!n&&r>1&&!Rt(t,e)&&s.lengthn[e]).join(", ")}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function LE(n,t,e,s){const o=e.map((u,d)=>{const h={logicalShape:u.shape,texShape:u.isUniform?null:u.texData.texShape,isUniform:u.isUniform,isPacked:u.isUniform?!1:u.texData.isPacked,flatOffset:null};return u.texData!=null&&u.texData.slice!=null&&u.texData.slice.flatOffset>0&&(h.flatOffset=u.texData.slice.flatOffset),{name:t.variableNames[d],shapeInfo:h}}),r=o.map(u=>u.shapeInfo),i={logicalShape:s.shape,texShape:s.texData.texShape,isUniform:!1,isPacked:s.texData.isPacked,flatOffset:null},a=_V(o,i,t),c=SV(n.gl,a),l=n.createProgram(c);return V().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:c,source:a,webGLProgram:l,inShapeInfos:r,outShapeInfo:i,variablesLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:(n.buildVao(l),Object.assign({program:t,fragmentShader:c,source:a,webGLProgram:l,inShapeInfos:r,outShapeInfo:i},g1(n,t,l)))}function g1(n,t,e){const s=[],o=[];let r,i,a,c=null,l=null;l=n.getUniformLocation(e,"NAN",!1),V().getNumber("WEBGL_VERSION")===1&&(c=n.getUniformLocation(e,"INFINITY",!1));const u=!1;for(const d of t.variableNames){const h={name:d,uniform:n.getUniformLocation(e,d,u),offset:n.getUniformLocation(e,`offset${d}`,u)};t.enableShapeUniforms&&(h.shape=n.getUniformLocation(e,`${d}Shape`,u),h.texShape=n.getUniformLocation(e,`${d}TexShape`,u)),s.push(h)}if(t.enableShapeUniforms&&(r=n.getUniformLocation(e,"outShape",u),a=n.getUniformLocation(e,"outShapeStrides",u),i=n.getUniformLocation(e,"outTexShape",u)),t.customUniforms)for(const d of t.customUniforms)o.push(n.getUniformLocation(e,d.name,u));return{variablesLocations:s,customUniformLocations:o,infLoc:c,nanLoc:l,outShapeLocation:r,outShapeStridesLocation:a,outTexShapeLocation:i}}function b1(n,t){if(n.length!==t.length)throw Error(`Binary was compiled with ${n.length} inputs, but was executed with ${t.length} inputs`);n.forEach((e,s)=>{const o=e.logicalShape,r=t[s],i=r.shape;if(!Rt(o,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${o} and ${i} must match`);if(e.isUniform&&r.isUniform)return;const a=e.texShape,c=r.isUniform?null:r.texData.texShape;if(!Rt(a,c))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${a} and ${c} must match`)})}function $E(n,t,e,s,o){t.program.enableShapeUniforms||(b1(t.inShapeInfos,e),b1([t.outShapeInfo],[s]));const r=s.texData.texture,i=s.texData.texShape;s.texData.isPacked?n.setOutputPackedMatrixTexture(r.texture,i[0],i[1]):n.setOutputMatrixTexture(r.texture,i[0],i[1]),n.setProgram(t.webGLProgram),n.bindVertexArray(t.webGLProgram.vao),V().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&n.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&n.gl.uniform1f(t.nanLoc,NaN);for(let c=0;c{const a=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0;if(n.enableShapeUniforms&&!i.isUniform){const c=i.texData.texShape,{useSqueezeShape:l,uniformShape:u,keptDims:d}=Np(n.packedInputs,i.shape,c);let h="",p="",f="";if(u.length===1&&n.packedInputs){const I=[Math.ceil(c[0]/2),Math.ceil(c[1]/2)];h=`${I[0]>1}_${I[1]>1}`}else if(u.length===2&&!n.packedInputs)p=`${u[0]>1}_${u[1]>1}`;else if(u.length>2&&!n.packedInputs){const I=ct(u);f=`${I[0]===c[1]}_${I[I.length-1]===c[1]}`}const m=i.shape.length,g=u.length===2&&Rt(i.shape,c),b=A(i.shape)===1,x=Yo(i.shape,e.shape),C=!n.packedInputs&&m===e.shape.length&&Rt(c,e.texData.texShape),y=n.packedInputs||u.length>2?"":`${c[0]>1}_${c[1]>1}`;s+=`${m}_${C}_${l?d:""}_${u.length}_${b}_${x}_${g}_${h}_${p}_${f}_${y}_${a}`}else{const c=i.isUniform?"uniform":i.texData.texShape;s+=`${i.shape}_${c}_${a}`}});const o=n.userCode;let r=n.constructor.name;return r+="_"+s+"_"+o+`${V().getNumber("WEBGL_VERSION")}`,r}function Le(n){return V().getBool("WEBGL_USE_SHAPES_UNIFORMS")&&n<=4}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class XE{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=oa.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];const e=Me();this.outputShape=t,this.enableShapeUniforms=Le(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { ${this.enableShapeUniforms?Nl(["r","c","d"],t):ko(["r","c","d"],t)} return ivec3(r, c, d); } void main() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1])); int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y); vec4 result = vec4(0.); for (int i=0; i<4; i++) { int flatIndex = index + i; ivec3 rc = outCoordsFromFlatIndex(flatIndex); result[i] = getA(rc.x, rc.y, rc.z); } ${e.output} = result; } `}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ME{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=oa.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];const e=Me();this.outputShape=t,this.enableShapeUniforms=Le(this.outputShape.length),this.userCode=` ivec3 outCoordsFromFlatIndex(int index) { ${this.enableShapeUniforms?Nl(["r","c","d"],t):ko(["r","c","d"],t)} return ivec3(r, c, d); } void main() { ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1])); int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y); vec4 result = vec4(0.); for (int i=0; i<4; i++) { int flatIndex = index + i; ivec3 rc = outCoordsFromFlatIndex(flatIndex); result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z)); } ${e.output} = result; } `}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class zE{constructor(t){this.variableNames=["A"],this.outTexUsage=an.DOWNLOAD;const e=Me();this.outputShape=t,this.userCode=` ${h1} void main() { float x = getAAtOutCoords(); ${e.output} = encode_float(x); } `}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class VE{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=an.DOWNLOAD;const e=Me();this.outputShape=t,this.userCode=` ${h1} void main() { ivec3 coords = getOutputCoords(); float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z)); ${e.output} = encode_float(x); } `}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const EE={R:0,G:1,B:2,A:3};class x1{constructor(t,e=!1,s="RGBA"){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];const o=Me();this.outputShape=t,this.enableShapeUniforms=Le(this.outputShape.length);let r="result";e&&(r="floor(result * 255. + 0.5)");let i="";for(let a=0;an.bindTexture(a,i)),ot(n,()=>n.texParameteri(a,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE)),ot(n,()=>n.texParameteri(a,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE)),ot(n,()=>n.texParameteri(a,n.TEXTURE_MIN_FILTER,n.NEAREST)),ot(n,()=>n.texParameteri(a,n.TEXTURE_MAG_FILTER,n.NEAREST)),V().getNumber("WEBGL_VERSION")===1?ot(n,()=>n.texImage2D(a,0,s,t,e,0,o,r,null)):ot(n,()=>n.texStorage2D(a,1,s,t,e)),ot(n,()=>n.bindTexture(n.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function y1(n){return n.internalFormatFloat}function PE(n,t,e,s){const[o,r]=ra(t,e);return aa(n,o,r,y1(s),s.textureFormatFloat,n.FLOAT)}function C1(n){return n.internalFormatHalfFloat}function OE(n,t,e,s){const[o,r]=ra(t,e);return aa(n,o,r,C1(s),s.textureFormatFloat,s.textureTypeHalfFloat)}function I1(n){return n.downloadTextureFormat}function AE(n,t,e,s){const[o,r]=ra(t,e);return aa(n,o,r,I1(s),n.RGBA,n.UNSIGNED_BYTE)}function w1(n){return n.internalFormatPackedFloat}function HE(n,t,e,s){const[o,r]=lr(t,e);return aa(n,o,r,w1(s),n.RGBA,n.FLOAT)}function S1(n){return n.internalFormatPackedHalfFloat}function BE(n,t,e,s){const[o,r]=lr(t,e);return aa(n,o,r,S1(s),n.RGBA,s.textureTypeHalfFloat)}function UE(n,t,e){return ot(n,()=>n.bindBuffer(n.ARRAY_BUFFER,e)),l1(n,t,"clipSpacePos",e,3,20,0)&&l1(n,t,"uv",e,2,20,12)}function _E(n,t,e,s,o,r){ot(n,()=>n.bindTexture(n.TEXTURE_2D,t));let i,a,c;o instanceof Uint8Array?(i=new Uint8Array(e*s*4),a=n.UNSIGNED_BYTE,c=n.RGBA):(i=new Float32Array(e*s*4),a=n.FLOAT,c=r.internalFormatPackedFloat),i.set(o),V().getNumber("WEBGL_VERSION")===2?ot(n,()=>n.texSubImage2D(n.TEXTURE_2D,0,0,0,e,s,n.RGBA,a,i)):ot(n,()=>n.texImage2D(n.TEXTURE_2D,0,c,e,s,0,n.RGBA,a,i)),ot(n,()=>n.bindTexture(n.TEXTURE_2D,null))}function YE(n,t,e){ot(n,()=>n.bindTexture(n.TEXTURE_2D,t)),e.data instanceof Uint8Array?V().getNumber("WEBGL_VERSION")===2?ot(n,()=>n.texSubImage2D(n.TEXTURE_2D,0,0,0,e.width,e.height,n.RGBA,n.UNSIGNED_BYTE,e.data)):ot(n,()=>n.texImage2D(n.TEXTURE_2D,0,n.RGBA,e.width,e.height,0,n.RGBA,n.UNSIGNED_BYTE,e.data)):V().getNumber("WEBGL_VERSION")===2?ot(n,()=>n.texSubImage2D(n.TEXTURE_2D,0,0,0,n.RGBA,n.UNSIGNED_BYTE,e)):ot(n,()=>n.texImage2D(n.TEXTURE_2D,0,n.RGBA,n.RGBA,n.UNSIGNED_BYTE,e)),ot(n,()=>n.bindTexture(n.TEXTURE_2D,null))}function QE(n,t,e,s){const o=n.createBuffer();ot(n,()=>n.bindBuffer(n.PIXEL_PACK_BUFFER,o));const a=4*4*t*e;return ot(n,()=>n.bufferData(n.PIXEL_PACK_BUFFER,a,n.STREAM_READ)),ot(n,()=>n.readPixels(0,0,e,t,n.RGBA,n.FLOAT,0)),ot(n,()=>n.bindBuffer(n.PIXEL_PACK_BUFFER,null)),o}function JE(n,t,e){const s=n,o=new Float32Array(e);return s.bindBuffer(s.PIXEL_PACK_BUFFER,t),s.getBufferSubData(s.PIXEL_PACK_BUFFER,0,o),s.bindBuffer(s.PIXEL_PACK_BUFFER,null),o}function jE(n,t,e,s){const[o,r]=ra(t,e),i=4,a=new Uint8Array(mV(t*e,i));return ot(n,()=>n.readPixels(0,0,o,r,s.downloadTextureFormat,n.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function qE(n,t,e,s,o,r,i,a){const c=n,l=new Float32Array(gV(r,i));return c.bindBuffer(c.PIXEL_PACK_BUFFER,t),c.getBufferSubData(c.PIXEL_PACK_BUFFER,0,l),c.bindBuffer(c.PIXEL_PACK_BUFFER,null),l}function tK(n,t,e){const s=new Float32Array(t*e*4);return ot(n,()=>n.readPixels(0,0,e,t,n.RGBA,n.FLOAT,s)),s}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Rp{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];const e=V().getNumber("WEBGL_VERSION");if(t!=null?(this.gl=t,hV(e,t)):this.gl=zn(e),t=this.gl,V().getNumber("WEBGL_VERSION")===2){const r=t;this.createVertexArray=()=>ot(r,()=>r.createVertexArray()),this.bindVertexArray=i=>ot(r,()=>r.bindVertexArray(i)),this.deleteVertexArray=i=>ot(r,()=>r.deleteVertexArray(i)),this.getVertexArray=()=>ot(r,()=>r.getParameter(r.VERTEX_ARRAY_BINDING))}else if(t!=null){const r=t.getExtension("OES_vertex_array_object");if(r==null)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=()=>ot(t,()=>r.createVertexArrayOES()),this.bindVertexArray=i=>ot(t,()=>r.bindVertexArrayOES(i)),this.deleteVertexArray=i=>ot(t,()=>r.deleteVertexArrayOES(i)),this.getVertexArray=()=>ot(t,()=>t.getParameter(r.VERTEX_ARRAY_BINDING_OES))}let s="WEBGL_color_buffer_float";const o="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),V().getNumber("WEBGL_VERSION")===1){const r="OES_texture_float",i="OES_texture_half_float";if(this.textureFloatExtension=wl(this.gl,r),In(this.gl,i))this.textureHalfFloatExtension=wl(this.gl,i);else if(V().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(s),In(this.gl,o))this.colorBufferHalfFloatExtension=wl(this.gl,o);else if(V().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(s="EXT_color_buffer_float",In(this.gl,s))this.colorBufferFloatExtension=this.gl.getExtension(s);else if(In(this.gl,o))this.colorBufferHalfFloatExtension=this.gl.getExtension(o);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=FE(this.gl),this.indexBuffer=DE(this.gl),this.framebuffer=$V(this.gl),this.textureConfig=yp(this.gl,this.textureHalfFloatExtension)}get debug(){return V().getBool("DEBUG")}dispose(){if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");const t=this.gl;ot(t,()=>t.finish()),ot(t,()=>t.bindFramebuffer(t.FRAMEBUFFER,null)),ot(t,()=>t.deleteFramebuffer(this.framebuffer)),ot(t,()=>t.bindBuffer(t.ARRAY_BUFFER,null)),ot(t,()=>t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)),ot(t,()=>t.deleteBuffer(this.indexBuffer)),this.disposed=!0}createFloat32MatrixTexture(t,e){return this.throwIfDisposed(),PE(this.gl,t,e,this.textureConfig)}createFloat16MatrixTexture(t,e){return this.throwIfDisposed(),OE(this.gl,t,e,this.textureConfig)}createUnsignedBytesMatrixTexture(t,e){return this.throwIfDisposed(),AE(this.gl,t,e,this.textureConfig)}uploadPixelDataToTexture(t,e){this.throwIfDisposed(),YE(this.gl,t,e)}uploadDenseMatrixToTexture(t,e,s,o){this.throwIfDisposed(),_E(this.gl,t,e,s,o,this.textureConfig)}createFloat16PackedMatrixTexture(t,e){return this.throwIfDisposed(),BE(this.gl,t,e,this.textureConfig)}createPackedMatrixTexture(t,e){return this.throwIfDisposed(),HE(this.gl,t,e,this.textureConfig)}deleteMatrixTexture(t){this.throwIfDisposed(),this.outputTexture===t&&(u1(this.gl,this.framebuffer),this.outputTexture=null),ot(this.gl,()=>this.gl.deleteTexture(t))}downloadByteEncodedFloatMatrixFromOutputTexture(t,e,s){return this.downloadMatrixDriver(t,()=>jE(this.gl,e,s,this.textureConfig))}downloadPackedMatrixFromBuffer(t,e,s,o,r,i){return qE(this.gl,t,e,s,o,r,i,this.textureConfig)}downloadFloat32MatrixFromBuffer(t,e){return JE(this.gl,t,e)}createBufferFromTexture(t,e,s){this.bindTextureToFrameBuffer(t);const o=QE(this.gl,e,s,this.textureConfig);return this.unbindTextureToFrameBuffer(),o}createAndWaitForFence(){const t=this.createFence(this.gl);return this.pollFence(t)}createFence(t){let e,s;if(V().getBool("WEBGL_FENCE_API_ENABLED")){const o=t,r=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),s=()=>{const i=o.clientWaitSync(r,0,0);return i===o.ALREADY_SIGNALED||i===o.CONDITION_SATISFIED},e=r}else V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),s=()=>this.isQueryAvailable(e,V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))):s=()=>!0;return{query:e,isFencePassed:s}}downloadMatrixFromPackedTexture(t,e,s){return this.downloadMatrixDriver(t,()=>tK(this.gl,e,s))}createProgram(t){this.throwIfDisposed();const e=this.gl;this.vertexShader==null&&(this.vertexShader=ZE(e));const s=kV(e);ot(e,()=>e.attachShader(s,this.vertexShader)),ot(e,()=>e.attachShader(s,t)),TV(e,s);const o=Object.assign(s,{vao:this.createVertexArray()});return this.debug&&Cp(e,o),o}buildVao(t){this.setProgram(t),this.bindVertexArray(t.vao);const e=this.gl;ot(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,this.indexBuffer)),UE(e,t,this.vertexBuffer)}deleteProgram(t){this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&(ot(this.gl,()=>this.gl.deleteProgram(t)),this.deleteVertexArray(t.vao))}setProgram(t){this.throwIfDisposed(),this.program=t,this.program!=null&&this.debug&&Cp(this.gl,this.program),ot(this.gl,()=>this.gl.useProgram(t))}getUniformLocation(t,e,s=!0){return this.throwIfDisposed(),s?XV(this.gl,t,e):MV(this.gl,t,e)}getAttributeLocation(t,e){return this.throwIfDisposed(),ot(this.gl,()=>this.gl.getAttribLocation(t,e))}getUniformLocationNoThrow(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)}setInputMatrixTexture(t,e,s){this.throwIfDisposed(),this.throwIfNoProgram(),zV(this.gl,t,e,s)}setOutputMatrixTexture(t,e,s){this.setOutputMatrixTextureDriver(t,s,e)}setOutputPackedMatrixTexture(t,e,s){this.throwIfDisposed();const[o,r]=lr(e,s);this.setOutputMatrixTextureDriver(t,o,r)}setOutputMatrixWriteRegion(t,e,s,o){this.setOutputMatrixWriteRegionDriver(s,t,o,e)}setOutputPackedMatrixWriteRegion(t,e,s,o){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}debugValidate(){this.program!=null&&Cp(this.gl,this.program),Sl(this.gl)}executeProgram(){this.throwIfDisposed(),this.throwIfNoProgram();const t=this.gl;if(this.debug){const e=this.getVertexArray();console.assert(e===this.program.vao,"VAO changed between setProgram and executeProgram!"),this.debugValidate()}ot(t,()=>t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0))}blockUntilAllProgramsCompleted(){this.throwIfDisposed(),ot(this.gl,()=>this.gl.finish())}getQueryTimerExtension(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=wl(this.gl,V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}getQueryTimerExtensionWebGL2(){return this.getQueryTimerExtension()}getQueryTimerExtensionWebGL1(){return this.getQueryTimerExtension()}beginQuery(){if(V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){const s=this.gl,o=this.getQueryTimerExtensionWebGL2(),r=s.createQuery();return s.beginQuery(o.TIME_ELAPSED_EXT,r),r}const t=this.getQueryTimerExtensionWebGL1(),e=t.createQueryEXT();return t.beginQueryEXT(t.TIME_ELAPSED_EXT,e),e}endQuery(){if(V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){const e=this.gl,s=this.getQueryTimerExtensionWebGL2();e.endQuery(s.TIME_ELAPSED_EXT);return}const t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}async waitForQueryAndGetTime(t){return await lf(()=>this.disposed||this.isQueryAvailable(t,V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))),this.getQueryTime(t,V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}getQueryTime(t,e){if(e===0)return null;if(e===2){const s=this.gl;return s.getQueryParameter(t,s.QUERY_RESULT)/1e6}else{const s=this.getQueryTimerExtensionWebGL1();return s.getQueryObjectEXT(t,s.QUERY_RESULT_EXT)/1e6}}isQueryAvailable(t,e){if(e===0)return!0;if(e===2){const s=this.gl,o=this.getQueryTimerExtensionWebGL2(),r=s.getQueryParameter(t,s.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(o.GPU_DISJOINT_EXT)),r&&!this.disjoint}else{const s=this.getQueryTimerExtensionWebGL1(),o=s.getQueryObjectEXT(t,s.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(s.GPU_DISJOINT_EXT)),o&&!this.disjoint}}pollFence(t){return new Promise(e=>{this.addItemToPoll(()=>t.isFencePassed(),()=>e())})}pollItems(){const t=eK(this.itemsToPoll.map(e=>e.isDoneFn));for(let e=0;e<=t;++e){const{resolveFn:s}=this.itemsToPoll[e];s()}this.itemsToPoll=this.itemsToPoll.slice(t+1)}addItemToPoll(t,e){if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;let s;"setTimeoutCustom"in V().platform&&(s=V().platform.setTimeoutCustom.bind(V().platform)),lf(()=>(this.pollItems(),this.itemsToPoll.length===0),()=>0,null,s)}bindTextureToFrameBuffer(t){this.throwIfDisposed(),Ip(this.gl,t,this.framebuffer),this.debug&&Sl(this.gl)}unbindTextureToFrameBuffer(){this.outputTexture!=null?(Ip(this.gl,this.outputTexture,this.framebuffer),this.debug&&Sl(this.gl)):u1(this.gl,this.framebuffer)}downloadMatrixDriver(t,e){this.bindTextureToFrameBuffer(t);const s=e();return this.unbindTextureToFrameBuffer(),s}setOutputMatrixTextureDriver(t,e,s){this.throwIfDisposed();const o=this.gl;Ip(o,t,this.framebuffer),this.debug&&Sl(o),this.outputTexture=t,ot(o,()=>o.viewport(0,0,e,s)),ot(o,()=>o.scissor(0,0,e,s))}setOutputMatrixWriteRegionDriver(t,e,s,o){this.throwIfDisposed(),ot(this.gl,()=>this.gl.scissor(t,e,s,o))}throwIfDisposed(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}throwIfNoProgram(){if(this.program==null)throw new Error("No GPU program is currently set.")}}function eK(n){let t=0;for(;t`${n}.${e}`)}function ze(n,t){return t===1?[n]:N1(n,t)}function UK(n,t){if(n===1)return"rc";let e="";for(let s=0;s ${this.enableShapeUniforms?"outShape":this.outputShape[0]}`;let e="";for(let s=this.rank-2;s= ${this.enableShapeUniforms?`outShape[${s}]`:this.outputShape[s]}`,s= ${s}; bool rEdge = rp1 >= ${o}; `}getOutput(t){const e=this.getSourceCoordsArr(t);return this.rank===1?`getA(rc), (rc + 1 >= ${this.enableShapeUniforms?"outShape":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${e[0]}), cEdge ? 0. : getA(${e[1]}), rEdge ? 0. : getA(${e[2]}), rEdge || cEdge ? 0. : getA(${e[3]})`}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class R1{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=Le(this.outputShape.length);let s="";for(let o=0;o<4;o++){let r="thisRC = rc;";o%2===1&&(r+="thisRC.z += 1;"),o>1&&(r+="thisRC.y += 1;"),s+=` ${r} ${o>0?"if(thisRC.y < rows && thisRC.z < cols){":""} int flatIndex = getFlatIndex(thisRC); ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex); vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z)); result[${o}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims); ${o>0?"}":""} `}this.userCode=` ${YK(e,this.enableShapeUniforms)} ${this.enableShapeUniforms?Tp():kp(t)} void main() { ivec3 rc = getOutputCoords(); vec4 result = vec4(0.); ivec3 thisRC; int rows = ${this.enableShapeUniforms?"outShape[1]":t[1]}; int cols = ${this.enableShapeUniforms?"outShape[2]":t[2]}; ${s} setOutput(result); } `}}function YK(n,t){return` ivec3 inputCoordsFromReshapedOutCoords(int index) { ${t?UV(["r","c","d"],"inputShape"):ko(["r","c","d"],n)} return ivec3(r, c, d); } `}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class QK{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}acquireTexture(t,e,s){const o=L1(e,s),r=$1(t,o,s);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);const i=G1(t,o,this.gpgpu.gl,this.gpgpu.textureConfig,s);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=i,this.log();const c=this.freeTextures[r].pop();return this.usedTextures[r].push(c),c}let a;return o===we.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===we.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===we.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===we.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===we.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[r].push(a),this.numUsedTextures++,this._numBytesAllocated+=i,this.log(),a}releaseTexture(t,e,s,o){if(this.freeTextures==null)return;const r=L1(s,o),i=$1(e,r,o);i in this.freeTextures||(this.freeTextures[i]=[]);const a=G1(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,o),c=V().getNumber("WEBGL_DELETE_TEXTURE_THRESHOLD");c!==-1&&this._numBytesAllocated>c?(this.gpgpu.deleteMatrixTexture(t.texture),this._numBytesAllocated-=a):(this.freeTextures[i].push(t),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;const l=this.usedTextures[i],u=l&&l.indexOf(t);if(u==null||u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l[u]=l[l.length-1],l.pop(),this.log()}log(){if(!this.logEnabled)return;const t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${t})`);const e=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*e)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(const t in this.freeTextures)this.freeTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});for(const t in this.usedTextures)this.usedTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}}function JK(n,t){const e=n;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===n.RGBA)return 16;if(t===e.RGBA16F)return 8;if(t===e.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function G1(n,t,e,s,o){const r=jK(t,s);let i;if(o){const[c,l]=lr(n[0],n[1]);i=c*l}else{const[c,l]=ra(n[0],n[1]);i=c*l}const a=JK(e,r);return i*a}function jK(n,t){switch(n){case we.PACKED_2X2_FLOAT32:return w1(t);case we.PACKED_2X2_FLOAT16:return S1(t);case we.UNPACKED_FLOAT32:return y1(t);case we.UNPACKED_FLOAT16:return C1(t);case we.PACKED_4X1_UNSIGNED_BYTE:return I1(t);default:throw new Error(`Unknown physical texture type ${n}`)}}function qK(n){return V().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?n?we.PACKED_2X2_FLOAT32:we.UNPACKED_FLOAT32:n?we.PACKED_2X2_FLOAT16:we.UNPACKED_FLOAT16}function L1(n,t){if(n===an.UPLOAD)return we.PACKED_2X2_FLOAT32;if(n===an.RENDER||n==null)return qK(t);if(n===an.DOWNLOAD||n===an.PIXELS)return we.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${n}`)}function $1(n,t,e){return`${n[0]}_${n[1]}_${t}_${e}`}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class jn{constructor(t,e){this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=Le(this.outputShape.length),this.userCode=` float unaryOperation(float x) { ${e} } void main() { float x = getAAtOutCoords(); float y = unaryOperation(x); setOutput(y); } `}}const wn="if (isnan(x)) return x;",tZ="return x;",W1="return abs(x);",eZ="return (x >= 0.0) ? x : (exp(x) - 1.0);",nZ=wn+` return (x < 0.0) ? 0.0 : x; `,sZ=wn+` return (x < 0.0) ? 0.0 : min(6.0, x); `,Es="return x;",oZ="return 1.0 / (1.0 + exp(-1.0 * x));";/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const rZ="return x;",iZ=` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0); result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0); result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; `,aZ=` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; result.g = isNaN.g ? x.g : result.g; result.b = isNaN.b ? x.b : result.b; result.a = isNaN.a ? x.a : result.a; return result; `,cZ=` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; result.g = isNaN.g ? x.g : result.g; result.b = isNaN.b ? x.b : result.b; result.a = isNaN.a ? x.a : result.a; return result; `,lZ="return 1.0 / (1.0 + exp(-1.0 * x));";class Ks{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=Le(this.outputShape.length),this.userCode=` vec4 unaryOperation(vec4 x) { ${e} } void main() { vec4 x = getAAtOutCoords(); vec4 y = unaryOperation(x); setOutput(y); } `}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class uZ{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=Le(this.outputShape.length);const e=t.length,s=ze("rc",e),o=Mt(e),r=UK(e,s),i=s.slice(-2),a=e<=1?"rc":`vec2(${i.join(",")})`;this.userCode=` void main() { ${o} rc = getOutputCoords(); vec4 packedInput = getA(${r}); setOutput(getChannel(packedInput, ${a})); } `}}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const dZ=rg,hZ=1e-7,pZ=1e-4,Rl={};function fZ(n){return n in Rl||(Rl[n]={}),Rl[n]}const mZ=V().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),gZ=600;function bZ(){return V().global.screen==null?1024:V().global.screen.height*V().global.screen.width*window.devicePixelRatio*gZ/1024/1024}class Gl extends Hl{nextDataId(){return Gl.nextDataId++}constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!V().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let e;if(t!=null){if(t instanceof Rp)e=t;else{const s=zn(V().getNumber("WEBGL_VERSION"),t);e=new Rp(s)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{const s=zn(V().getNumber("WEBGL_VERSION"));e=new Rp(s),this.binaryCache=fZ(V().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new QK(this.gpgpu),this.numMBBeforeWarning=bZ(),this.texData=new cf(this,Kt())}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(t,e,s,o,r,i){const a=this.makeTensorInfo(e,s),c=this.texData.get(a.dataId);c.isPacked=!1,c.texture={texture:t,texShape:[o,r]},c.texShape=[o,r];const l=vl(e),u=new x1(l,!1,i),d=this.runWebGLProgram(u,[a],s,[[o,r]]);return d.shape=e,c.texture=null,this.disposeIntermediateTensorInfo(a),d.dataId}write(t,e,s){if((V().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||V().getBool("DEBUG"))&&this.checkNumericalProblems(t),s==="complex64"&&t!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");const o={id:this.nextDataId()};return this.texData.set(o,{shape:e,dtype:s,values:t,usage:an.UPLOAD,refCount:1}),o}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){const e=this.texData.get(t);e.refCount++}decRef(t){if(this.texData.has(t)){const e=this.texData.get(t);e.refCount--}}move(t,e,s,o,r){if(V().getBool("DEBUG")&&this.checkNumericalProblems(e),o==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:s,dtype:o,values:e,usage:an.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){const e=this.texData.get(t),{values:s,dtype:o,complexTensorInfos:r,slice:i,shape:a,isPacked:c}=e;if(i!=null){let h;c?h=new Ks(a,Es):h=new jn(a,Es);const p=this.runWebGLProgram(h,[{dataId:t,shape:a,dtype:o}],o),f=this.readSync(p.dataId);return this.disposeIntermediateTensorInfo(p),f}if(s!=null)return this.convertAndCacheOnCPU(t);if(o==="string")return s;const l=this.activeTimers!=null;let u;l&&(u=Ee());let d;if(o==="complex64"){const h=this.readSync(r.real.dataId),p=this.readSync(r.imag.dataId);d=as(h,p)}else d=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=Ee()-u),this.convertAndCacheOnCPU(t,d)}async read(t){if(this.pendingRead.has(t)){const f=this.pendingRead.get(t);return new Promise(m=>f.push(m))}const e=this.texData.get(t),{values:s,shape:o,slice:r,dtype:i,complexTensorInfos:a,isPacked:c}=e;if(r!=null){let f;c?f=new Ks(o,Es):f=new jn(o,Es);const m=this.runWebGLProgram(f,[{dataId:t,shape:o,dtype:i}],i),g=this.read(m.dataId);return this.disposeIntermediateTensorInfo(m),g}if(s!=null)return this.convertAndCacheOnCPU(t);if(V().getBool("DEBUG")&&!V().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&V().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(i!=="complex64"&&V().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(t);const f=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(f.texture.texture,...Il(o))}this.pendingRead.set(t,[]),i!=="complex64"&&await this.gpgpu.createAndWaitForFence();let d;if(i==="complex64"){const f=await Promise.all([this.read(a.real.dataId),this.read(a.imag.dataId)]),m=f[0],g=f[1];d=as(m,g)}else if(l==null)d=this.getValuesFromTexture(t);else{const f=A(o);d=this.gpgpu.downloadFloat32MatrixFromBuffer(l,f)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){const f=this.gpgpu.gl;ot(f,()=>f.deleteBuffer(l))}const h=this.convertAndCacheOnCPU(t,d),p=this.pendingRead.get(t);return this.pendingRead.delete(t),p.forEach(f=>f(h)),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t)&&Kt().removeDataId(t,this),this.pendingDeletes--),h}readToGPU(t,e={}){const s=this.texData.get(t),{values:o,shape:r,slice:i,dtype:a,isPacked:c,texture:l}=s;if(a==="complex64")throw new Error("Does not support reading texture for complex64 dtype.");if(i!=null){let p;c?p=new Ks(r,Es):p=new jn(r,Es);const f=this.runWebGLProgram(p,[{dataId:t,shape:r,dtype:a}],a),m=this.readToGPU(f,e);return this.disposeIntermediateTensorInfo(f),m}if(l==null)throw o!=null?new Error("Data is not on GPU but on CPU."):new Error("There is no data on GPU or CPU.");const u=this.decode(t,e.customTexShape),d=Kt().makeTensorFromTensorInfo(u),h=this.texData.get(u.dataId);return Object.assign({tensorRef:d},h.texture)}bufferSync(t){const e=this.readSync(t.dataId);if(t.dtype==="string")try{const s=e.map(o=>xs(o));return It(t.shape,t.dtype,s)}catch{throw new Error("Failed to decode encoded string bytes into utf-8")}return It(t.shape,t.dtype,e)}checkNumericalProblems(t){if(t!=null)for(let e=0;e0}time(t){const e=this.activeTimers,s=[];let o=!1;this.programTimersStack==null?(this.programTimersStack=s,o=!0):this.activeTimers.push(s),this.activeTimers=s,t();const r=Qs(this.activeTimers.map(c=>c.query)).filter(c=>c!=null),i=Qs(this.activeTimers.map(c=>c.name)).filter(c=>c!=null);this.activeTimers=e,o&&(this.programTimersStack=null);const a={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null};return(async()=>{if(V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0){const c=await Promise.all(r);a.kernelMs=tI(c),a.getExtraProfileInfo=()=>c.map((l,u)=>({name:i[u],ms:l})).map(l=>`${l.name}: ${l.ms}`).join(", ")}else a.kernelMs={error:"WebGL query timers are not supported in this environment."};return this.uploadWaitMs=0,this.downloadWaitMs=0,a})()}memory(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}startTimer(){return V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:Ee(),endMs:null}}endTimer(t){return V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),t):(t.endMs=Ee(),t)}async getQueryTime(t){if(V().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)return this.gpgpu.waitForQueryAndGetTime(t);const e=t;return e.endMs-e.startMs}disposeData(t,e=!1){if(this.pendingDisposal.has(t))return!1;if(!this.texData.has(t))return!0;if(e?this.texData.get(t).refCount=0:this.texData.get(t).refCount--,!e&&this.texData.get(t).refCount>0)return!1;if(this.pendingRead.has(t))return this.pendingDisposal.add(t),this.pendingDeletes++,!1;this.releaseGPUData(t);const{complexTensorInfos:s}=this.texData.get(t);return s!=null&&(this.disposeData(s.real.dataId,e),this.disposeData(s.imag.dataId,e)),this.texData.delete(t),!0}releaseGPUData(t){const{texture:e,dtype:s,texShape:o,usage:r,isPacked:i,slice:a}=this.texData.get(t),c=a&&a.origDataId||t,l=this.dataRefCount.get(c);l>1?this.dataRefCount.set(c,l-1):(this.dataRefCount.delete(c),e!=null&&(this.numBytesInGPU-=this.computeBytes(o,s),this.textureManager.releaseTexture(e,o,r,i)));const u=this.texData.get(t);u.texture=null,u.texShape=null,u.isPacked=!1,u.slice=null}getTexture(t){return this.uploadToGPU(t),this.texData.get(t).texture.texture}getDataInfo(t){return this.texData.get(t)}shouldExecuteOnCPU(t,e=mZ){return V().getBool("WEBGL_CPU_FORWARD")&&t.every(s=>this.texData.get(s.dataId).texture==null&&A(s.shape)0&&Sr(s[0])){const r=s.map(i=>bs(i));o=this.write(r,t,e)}else o=this.write(s,t,e);return this.texData.get(o).usage=null,{dataId:o,shape:t,dtype:e}}makeOutput(t,e,s){return Kt().makeTensorFromTensorInfo(this.makeTensorInfo(t,e,s),this)}unpackTensor(t){const e=new uZ(t.shape);return this.runWebGLProgram(e,[t],t.dtype)}packTensor(t){const e=new _K(t.shape);return this.runWebGLProgram(e,[t],t.dtype,null,!0)}packedReshape(t,e){const s=[ur(t.shape),...dr(t.shape)],o={dtype:t.dtype,shape:s,dataId:t.dataId},r=[ur(e),...dr(e)],i=new R1(r,s),a=!0,c=[s],l=this.runWebGLProgram(i,[o],t.dtype,c,a);return{dataId:l.dataId,shape:e,dtype:l.dtype}}decode(t,e){const s=this.texData.get(t),{isPacked:o,shape:r,dtype:i}=s;if(e!=null){const h=A(r),p=e[0]*e[1]*4;S(h<=p,()=>"customTexShape is too small. Row * Column * 4 should be equal or larger than the size of the tensor data.")}const a=vl(r);let c;o?c=new ME(a):c=new XE(a);const l=!0,u=[e??Il(a)],d=this.runWebGLProgram(c,[{shape:a,dtype:i,dataId:t}],i,u,l,e);return{dtype:i,shape:r,dataId:d.dataId}}runWebGLProgram(t,e,s,o,r=!1,i){const a=this.makeTensorInfo(t.outputShape,s),c=this.texData.get(a.dataId);if(t.packedOutput&&(c.isPacked=!0),t.outPackingScheme===oa.DENSE){const b=i??Il(t.outputShape);c.texShape=b.map(x=>x*2)}if(t.outTexUsage!=null&&(c.usage=t.outTexUsage),A(a.shape)===0)return c.values=ke(a.dtype,0),a;const l=[],u=e.map(b=>{if(b.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");let x=this.texData.get(b.dataId);if(x.texture==null){if(!t.packedInputs&&A(b.shape)<=V().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:b.shape,texData:null,isUniform:!0,uniformValues:x.values};t.packedInputs&&(x.isPacked=!0,x.shape=b.shape)}if(this.uploadToGPU(b.dataId),!!x.isPacked!=!!t.packedInputs)b=x.isPacked?this.unpackTensor(b):this.packTensor(b),l.push(b),x=this.texData.get(b.dataId);else if(x.isPacked&&!Tl(x.shape,b.shape)){const C=b,y=b.shape;b.shape=x.shape,b=this.packedReshape(b,y),l.push(b),x=this.texData.get(b.dataId),C.shape=y}return{shape:b.shape,texData:x,isUniform:!1}});this.uploadToGPU(a.dataId);const d={shape:a.shape,texData:c,isUniform:!1},h=WE(t,u,d),p=this.getAndSaveBinary(h,()=>LE(this.gpgpu,t,u,d)),f=this.activeTimers!=null;let m;f&&(m=this.startTimer()),V().get("ENGINE_COMPILE_ONLY")||$E(this.gpgpu,p,u,d,o),l.forEach(b=>this.disposeIntermediateTensorInfo(b)),f&&(m=this.endTimer(m),this.activeTimers.push({name:t.constructor.name,query:this.getQueryTime(m)}));const g=V().getNumber("WEBGL_FLUSH_THRESHOLD");if(g>0){const b=Ee();b-this.lastGlFlushTime>g&&(this.gpgpu.gl.flush(),this.lastGlFlushTime=b)}if(!V().getBool("WEBGL_LAZILY_UNPACK")&&c.isPacked&&r===!1){const b=this.unpackTensor(a);return this.disposeIntermediateTensorInfo(a),b}return a}compileAndRun(t,e,s,o,r=!1){return s=s||e[0].dtype,this.runWebGLProgram(t,e,s,o,r)}getAndSaveBinary(t,e){return t in this.binaryCache||(this.binaryCache[t]=e()),this.binaryCache[t]}getTextureManager(){return this.textureManager}dispose(){this.disposed||(V().getBool("IS_TEST")||Object.keys(this.binaryCache).forEach(e=>{this.gpgpu.deleteProgram(this.binaryCache[e].webGLProgram),delete this.binaryCache[e]}),this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement<"u"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0)}floatPrecision(){return this.floatPrecisionValue==null&&(this.floatPrecisionValue=X(()=>{if(!V().get("WEBGL_RENDER_FLOAT32_ENABLED")){const t=V().getBool("DEBUG");V().set("DEBUG",!1);const e=this.abs(Lt(1e-8)).dataSync()[0];if(V().set("DEBUG",t),e>0)return 32}return 16})),this.floatPrecisionValue}epsilon(){return this.floatPrecision()===32?hZ:pZ}uploadToGPU(t){const e=this.texData.get(t),{shape:s,dtype:o,values:r,texture:i,usage:a,isPacked:c}=e;if(i!=null)return;const l=this.activeTimers!=null;let u;l&&(u=Ee());let d=e.texShape;if(d==null&&(d=KV(s,c),e.texShape=d),r!=null){const h=vl(s);let p,f=d[1],m=d[0];const g=r instanceof Uint8Array||r instanceof Uint8ClampedArray;(c||!g)&&([f,m]=lr(d[0],d[1])),c?p=new KE(h,g):p=new x1(h,g);const b=g?[m,f]:d,x=this.makeTensorInfo(b,o),C=this.texData.get(x.dataId);g?C.usage=an.PIXELS:C.usage=an.UPLOAD,C.texShape=b,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(x.dataId),f,m,r);const y=[[m,f]],w=this.runWebGLProgram(p,[x],o,y,!0),k=this.texData.get(w.dataId);e.texShape=k.texShape,e.isPacked=k.isPacked,e.usage=k.usage,V().get("ENGINE_COMPILE_ONLY")?this.disposeData(w.dataId):(e.texture=k.texture,e.values=null,this.texData.delete(w.dataId)),this.disposeIntermediateTensorInfo(x),l&&(this.uploadWaitMs+=Ee()-u)}else{const h=this.acquireTexture(d,a,o,c);e.texture=h}}convertAndCacheOnCPU(t,e){const s=this.texData.get(t),{dtype:o}=s;return e!=null&&(s.values=xZ(e,o)),s.values}acquireTexture(t,e,s,o){if(this.numBytesInGPU+=this.computeBytes(t,s),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){const r=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn(`High memory usage in GPU: ${r} MB, most likely due to a memory leak`)}return this.textureManager.acquireTexture(t,e,o)}computeBytes(t,e){return t[0]*t[1]*ya(e)}checkCompileCompletion(){for(const[,t]of Object.entries(this.binaryCache))this.checkCompletion_(t)}async checkCompileCompletionAsync(){const t=[];if(this.gpgpu.parallelCompilationExtension){for(const[,e]of Object.entries(this.binaryCache))t.push(this.checkCompletionAsync_(e));return Promise.all(t)}else{for(const[,e]of Object.entries(this.binaryCache)){const s=new Promise(o=>{try{this.checkCompletion_(e),o(!0)}catch(r){throw r}});t.push(s)}return Promise.all(t)}}async checkCompletionAsync_(t){return this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.parallelCompilationExtension.COMPLETION_STATUS_KHR)?this.checkCompletion_(t):(await Fc(),this.checkCompletionAsync_(t))}checkCompletion_(t){if(this.gpgpu.gl.getProgramParameter(t.webGLProgram,this.gpgpu.gl.LINK_STATUS)===!1)throw console.log(this.gpgpu.gl.getProgramInfoLog(t.webGLProgram)),this.gpgpu.gl.getShaderParameter(t.fragmentShader,this.gpgpu.gl.COMPILE_STATUS)===!1?(c1(t.source,this.gpgpu.gl.getShaderInfoLog(t.fragmentShader)),new Error("Failed to compile fragment shader.")):new Error("Failed to link vertex and fragment shaders.");return!0}getUniformLocations(){for(const t of Object.values(this.binaryCache)){this.gpgpu.buildVao(t.webGLProgram);const{variablesLocations:e,customUniformLocations:s,infLoc:o,nanLoc:r,outShapeLocation:i,outShapeStridesLocation:a,outTexShapeLocation:c}=g1(this.gpgpu,t.program,t.webGLProgram);t.variablesLocations=e,t.customUniformLocations=s,t.infLoc=o,t.nanLoc=r,t.outShapeLocation=i,t.outShapeStridesLocation=a,t.outTexShapeLocation=c}}createTensorFromGPUData(t,e,s){t.channels=t.channels||"RGBA";const{texture:o,height:r,width:i,channels:a}=t,c=Kt().backend;if(!c.gpgpu.gl.isTexture(o))throw new Error("The texture is invalid. Also, please make sure the texture and the TFJS WebGL backend are using the same canvas. If you want to use your own custom canvas, you have to create and use the custom TFJS WebGL backend created from the canvas through 'new tf.MathBackendWebGL(customCanvas)'.");const l=c.writeTexture(o,e,s,r,i,a);return Kt().makeTensorFromDataId(l,e,s,c)}}Gl.nextDataId=0;function xZ(n,t){if(t==="float32"||t==="complex64")return n;if(t==="int32"||t==="bool"){const e=t==="int32"?new Int32Array(n.length):new Uint8Array(n.length);for(let s=0;snew Gl,2);/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Lp=` if (isnan(a)) return a; if (isnan(b)) return b; `;class No{constructor(t,e,s){this.variableNames=["A","B"],this.outputShape=gt(e,s),this.enableShapeUniforms=Le(this.outputShape.length),this.userCode=` float binaryOperation(float a, float b) { ${t} } void main() { float a = getAAtOutCoords(); float b = getBAtOutCoords(); setOutput(binaryOperation(a, b)); } `}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Ro=` result.r = isNaN.r ? NAN : result.r; result.g = isNaN.g ? NAN : result.g; result.b = isNaN.b ? NAN : result.b; result.a = isNaN.a ? NAN : result.a; `;class gr{constructor(t,e,s,o=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=gt(e,s);const r=this.outputShape.length;this.enableShapeUniforms=Le(r);let i="";if(o)if(r===0||A(this.outputShape)===1)i=` result.y = 0.; result.z = 0.; result.w = 0.; `;else if(i=` ${Mt(r)} coords = getOutputCoords(); `,r===1)this.enableShapeUniforms?i+=` result.y = (coords + 1) >= outShape ? 0. : result.y; result.z = 0.; result.w = 0.; `:i+=` result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y; result.z = 0.; result.w = 0.; `;else{const c=ze("coords",r);this.enableShapeUniforms?i+=` bool nextRowOutOfBounds = (${c[r-2]} + 1) >= outShape[${r} - 2]; bool nextColOutOfBounds = (${c[r-1]} + 1) >= outShape[${r} - 1]; result.y = nextColOutOfBounds ? 0. : result.y; result.z = nextRowOutOfBounds ? 0. : result.z; result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w; `:i+=` bool nextRowOutOfBounds = (${c[r-2]} + 1) >= ${this.outputShape[r-2]}; bool nextColOutOfBounds = (${c[r-1]} + 1) >= ${this.outputShape[r-1]}; result.y = nextColOutOfBounds ? 0. : result.y; result.z = nextRowOutOfBounds ? 0. : result.z; result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w; `}this.userCode=` vec4 binaryOperation(vec4 a, vec4 b) { ${t} } void main() { vec4 a = getAAtOutCoords(); vec4 b = getBAtOutCoords(); vec4 result = binaryOperation(a, b); ${i} setOutput(result); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Je(n){const{inputs:t,backend:e}=n,{x:s}=t;return e.incRef(s.dataId),{dataId:s.dataId,shape:s.shape,dtype:s.dtype}}const yZ={kernelName:Ar,backendName:"webgl",kernelFunc:Je};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Zs(n){const{inputs:t,backend:e}=n,{real:s,imag:o}=t,r=e.makeTensorInfo(s.shape,"complex64"),i=e.texData.get(r.dataId),a=Je({inputs:{x:s},backend:e}),c=Je({inputs:{x:o},backend:e});return i.complexTensorInfos={real:a,imag:c},r}const CZ={kernelName:du,backendName:"webgl",kernelFunc:Zs};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const X1="return (a < 0.) ? b * a : a;",M1=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); `;function IZ(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{alpha:r}=s,i=e.makeTensorInfo([],"float32",gs(r,"float32")),a=V().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new gr(M1,o.shape,i.shape):new No(X1,o.shape,i.shape),c=e.runWebGLProgram(a,[o,i],"float32");return e.disposeIntermediateTensorInfo(i),c}const wZ={kernelName:Fa,backendName:"webgl",kernelFunc:IZ};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const z1="return (a < 0.) ? b * a : a;",V1=` vec4 aLessThanZero = vec4(lessThan(a, vec4(0.))); return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a); `;function SZ(n){const{inputs:t,backend:e}=n,{x:s,alpha:o}=t,r=V().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new gr(V1,s.shape,o.shape):new No(z1,s.shape,o.shape);return e.runWebGLProgram(r,[s,o],"float32")}const vZ={kernelName:rc,backendName:"webgl",kernelFunc:SZ};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const br="if (isnan(x)) return x;";function Tt({opSnippet:n,packedOpSnippet:t,cpuKernelImpl:e,dtype:s}){return({inputs:o,backend:r})=>{const{x:i}=o,a=r,c=s||i.dtype;if(a.shouldExecuteOnCPU([i])&&e!=null){const d=a.texData.get(i.dataId),h=e(d.values,c);return a.makeTensorInfo(i.shape,c,h)}const l=V().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null;let u;return l?u=new Ks(i.shape,t):u=new jn(i.shape,n),a.runWebGLProgram(u,[i],c)}}function Se({opSnippet:n,packedOpSnippet:t,checkOutOfBounds:e=!1,supportsComplex:s=!1,cpuKernelImpl:o,dtype:r}){return({inputs:i,backend:a})=>{const{a:c,b:l}=i,u=a;if(s&&c.dtype==="complex64"){const f=u.texData.get(c.dataId),m=u.texData.get(l.dataId),[g,b]=[[f.complexTensorInfos.real,m.complexTensorInfos.real],[f.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(C=>{const[y,I]=C,w={dataId:y.dataId,dtype:y.dtype,shape:c.shape},k={dataId:I.dataId,dtype:I.dtype,shape:l.shape},v=new No(n,c.shape,l.shape);return u.runWebGLProgram(v,[w,k],Ue(y.dtype,I.dtype))}),x=Zs({inputs:{real:g,imag:b},backend:u});return u.disposeIntermediateTensorInfo(g),u.disposeIntermediateTensorInfo(b),x}const d=r||Ue(c.dtype,l.dtype);if((c.dtype==="string"||l.dtype==="string"||u.shouldExecuteOnCPU([c,l]))&&o!=null){const f=u.texData.get(c.dataId).values,m=u.texData.get(l.dataId).values,g=c.dtype==="string"?cs(f):f,b=c.dtype==="string"?cs(m):m,[x,C]=o(c.shape,l.shape,g,b,d),y=u.makeTensorInfo(C,d),I=u.texData.get(y.dataId);return I.values=x,y}const h=V().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null;let p;return h?p=new gr(t,c.shape,l.shape,e):p=new No(n,c.shape,l.shape),u.runWebGLProgram(p,[c,l],d)}}function ca(n,t=!1){if(n==="linear")return t?rZ:tZ;if(n==="relu")return t?aZ:nZ;if(n==="elu")return t?iZ:eZ;if(n==="relu6")return t?cZ:sZ;if(n==="prelu")return t?V1:z1;if(n==="leakyrelu")return t?M1:X1;if(n==="sigmoid")return t?lZ:oZ;throw new Error(`Activation ${n} has not been implemented for the WebGL backend.`)}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class E1{constructor(t,e,s,o=!1,r=!1,i=!1,a=null,c=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=s,this.enableShapeUniforms=Le(this.outputShape.length);const u=o?t[1]:t[2],d=Math.ceil(u/2),h=o?"i * 2, rc.y":"rc.y, i * 2",p=r?"rc.z, i * 2":"i * 2, rc.z",f=o?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"];let g="",b="";a&&(c?g=`vec4 activation(vec4 a) { vec4 b = getPreluActivationWeightsAtOutCoords(); ${a} }`:l?g=`vec4 activation(vec4 a) { vec4 b = getLeakyreluAlphaAtOutCoords(); ${a} }`:g=`vec4 activation(vec4 x) { ${a} }`,b="result = activation(result);");const x=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),c&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let C="rc.x",y="rc.x";t[0]`The new shape (${c}) has ${l} elements and the old shape (${o.shape}) has ${a} elements. The new shape and old shape must have the same number of elements.`);const u=i.texData.get(o.dataId);return u.isPacked&&!Tl(o.shape,c)&&!(u.texture!==null&&Tl(u.shape,c))?TZ(o,c,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:c,dtype:o.dtype})}const NZ={kernelName:ac,backendName:"webgl",kernelFunc:tt};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class D1{constructor(t,e){this.variableNames=["x"];const{windowSize:s,batchSize:o,inSize:r,outSize:i}=t;this.outputShape=[o,i];const a=Math.floor(s/4)*4,c=s%4;let l="sumValue += dot(values, ones);";if(e!=null){const d=1/e;l=`sumValue += dot(values * ${zo(d)?d.toPrecision(2):d}, ones);`}let u="";r%s>0&&(u=` if (inIdx < 0 || inIdx >= ${r}) { return 0.0; } `),this.userCode=` const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); float getValue(int batch, int inIdx) { ${u} return getX(batch, inIdx); } void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; int outIdx = coords[1]; int inOffset = outIdx * ${s}; float sumValue = 0.0; for (int i = 0; i < ${a}; i += 4) { int inIdx = inOffset + i; vec4 values = vec4( getValue(batch, inIdx), getValue(batch, inIdx + 1), getValue(batch, inIdx + 2), getValue(batch, inIdx + 3) ); ${l} } int inIdx = inOffset + ${a}; if (${c===1}) { vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0); ${l} } else if (${c===2}) { vec4 values = vec4( getValue(batch, inIdx), getValue(batch, inIdx + 1), 0.0, 0.0); ${l} } else if (${c===3}) { vec4 values = vec4( getValue(batch, inIdx), getValue(batch, inIdx + 1), getValue(batch, inIdx + 2), 0.0); ${l} } setOutput(sumValue); } `}}/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class RZ{constructor(t,e){this.variableNames=["x"];const{windowSize:s,batchSize:o,inSize:r,outSize:i}=t;this.outputShape=[o,i];let a="0.0",c="";e==="prod"?a="1.0":e==="min"?(a="1.0 / 1e-20",c="min"):e==="max"&&(a="-1.0 / 1e-20",c="max");let l=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e==="sum"?l="sumValue":e==="prod"?l="prodValue":e==="all"?l="allValue":e==="any"&&(l="anyValue");const u=Math.floor(s/4)*4,d=s%4;let h=` if (${e==="sum"}) { sumValue += dot(values, ones); } else if (${e==="prod"}) { vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]); prodValue *= tmp[0] * tmp[1]; } else { minMaxValue = ${c}(values, minMaxValue); if (${e==="min"} || ${e==="max"}) { minMaxValue = ${c}(values, minMaxValue); bvec4 isNaN = isnan(values); if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) { minMaxValue = vec4(NAN); } } } `,p="vec4";e==="all"?(a="1.0",h=` bool reducedAllValue = all(values); float floatedReducedAllValue = float(reducedAllValue); allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0); `,p="bvec4"):e==="any"&&(a="0.0",h=` bool reducedAnyValue = any(values); float floatedReducedAnyValue = float(reducedAnyValue); anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0); `,p="bvec4");let f="";r%s>0&&(f=` if (inIdx < 0 || inIdx >= ${r}) { return initializationValue; } `),this.userCode=` const float initializationValue = ${a}; const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); float getValue(int batch, int inIdx) { ${f} return getX(batch, inIdx); } void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; int outIdx = coords[1]; int inOffset = outIdx * ${s}; vec4 minMaxValue = vec4(${a}); float prodValue = 1.0; float sumValue = 0.0; float allValue = 1.0; float anyValue = 0.0; for (int i = 0; i < ${u}; i += 4) { int inIdx = inOffset + i; ${p} values = ${p}( getValue(batch, inIdx), getValue(batch, inIdx + 1), getValue(batch, inIdx + 2), getValue(batch, inIdx + 3) ); ${h} } int inIdx = inOffset + ${u}; if (${d===1}) { ${p} values = ${p}( getValue(batch, inIdx), initializationValue, initializationValue, initializationValue ); ${h} } else if (${d===2}) { ${p} values = ${p}( getValue(batch, inIdx), getValue(batch, inIdx + 1), initializationValue, initializationValue ); ${h} } else if (${d===3}) { ${p} values = ${p}( getValue(batch, inIdx), getValue(batch, inIdx + 1), getValue(batch, inIdx + 2), initializationValue ); ${h} } setOutput(${l}); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function GZ(n){const t=[];for(;t.length===0||t[t.length-1].outSize!==1;){const e=t.length?t[t.length-1].outSize:n[1],s=Dc(e);t.push({inSize:e,windowSize:s,outSize:Math.ceil(e/s)})}return t}function Go(n,t,e,s){const o=GZ(n.shape);let r=n;for(let i=0;i6)throw Error(`Transpose for rank ${t} is not yet supported`);const e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],s=new Array(t);for(let o=0;o6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);const o=Mt(this.rank),r=N1("rc",this.rank),i=new Array(this.rank);for(let u=0;u`Error in matMul: inner shapes (${d}) and (${h}) of Tensors with shapes ${n.shape} and ${t.shape} and transposeA=${e} and transposeB=${s} must match.`);const I=e?[b,d,p]:[b,p,d],w=s?[x,f,h]:[x,h,f],k=tt({inputs:{x:n},backend:o,attrs:{shape:I}}),v=tt({inputs:{x:t},backend:o,attrs:{shape:w}}),T=[k,v],R=Math.max(b,x),W=e?k.shape[1]:k.shape[2],E=r!=null,K=i!=null,Z=c==="leakyrelu",F=c!=null?ca(c,!0):null,D=E||K||Z||F!=null;let H;if((p===1||f===1)&&W>P1&&D===!1){let B=k,_=v;e&&(B=Ve({inputs:{x:k},backend:o,attrs:{perm:[0,2,1]}}),T.push(B)),s&&(_=Ve({inputs:{x:v},backend:o,attrs:{perm:[0,2,1]}}),T.push(_));const Y=f!==1,j=f===1;let J=B;Y&&(J=tt({inputs:{x:B},backend:o,attrs:{shape:[R,W,1]}}),T.push(J));const nt=f===1?2:1;let q=_;j&&(q=tt({inputs:{x:_},backend:o,attrs:{shape:[R,1,W]}}),T.push(q));const rt=$p({inputs:{a:J,b:q},backend:o});H=$l({inputs:{x:rt},backend:o,attrs:{axis:nt,keepDims:!0}}),T.push(rt)}else{const B=Ue(n.dtype,t.dtype),_=new E1(I,w,[R,p,f],e,s,E,F,K,Z),Y=[k,v];if(r!=null&&Y.push(r),K&&Y.push(i),Z){const j=o.makeTensorInfo([],"float32",gs(a,"float32"));Y.push(j),T.push(j)}H=o.runWebGLProgram(_,Y,B)}const O=tt({inputs:{x:H},backend:o,attrs:{shape:y}});T.push(H);for(const B of T)o.disposeIntermediateTensorInfo(B);return O}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function VZ(n){const{inputs:t,backend:e,attrs:s}=n,{a:o,b:r,bias:i,preluActivationWeights:a}=t,{transposeA:c,transposeB:l,activation:u,leakyreluAlpha:d}=s;return Wl({a:o,b:r,transposeA:c,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:d,activation:u})}const EZ={kernelName:Cc,backendName:"webgl",kernelFunc:VZ};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const O1="return abs(x);";function KZ(n){const{inputs:t,backend:e}=n,{x:s}=t;if(e.shouldExecuteOnCPU([s])&&s.dtype!=="complex64"){const r=e.texData.get(s.dataId),i=k1(r.values);return e.makeTensorInfo(s.shape,s.dtype,i)}let o;return V().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new Ks(s.shape,O1):o=new jn(s.shape,O1),e.runWebGLProgram(o,[s],s.dtype)}const ZZ={kernelName:Ca,backendName:"webgl",kernelFunc:KZ};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const FZ=wn+` if (abs(x) > 1.) { return NAN; } return acos(x); `,DZ=Tt({opSnippet:FZ}),PZ={kernelName:vr,backendName:"webgl",kernelFunc:DZ};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const OZ=wn+` if (x < 1.0) return NAN; return log(x + sqrt(x * x - 1.0));`,AZ=Tt({opSnippet:OZ}),HZ={kernelName:kr,backendName:"webgl",kernelFunc:AZ};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const A1="return a + b;",BZ=Se({opSnippet:A1,packedOpSnippet:A1,supportsComplex:!0,cpuKernelImpl:nK}),UZ={kernelName:Zo,backendName:"webgl",kernelFunc:BZ};/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class _Z{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((r,i)=>`T${i}`);const s=[];this.variableNames.forEach(r=>{s.push(`float v${r} = get${r}AtOutCoords();`)});const o=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` void main() { ${s.join(` `)} float result = ${o}; setOutput(result); } `}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class YZ{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((r,i)=>`T${i}`);const s=[];this.variableNames.forEach(r=>{s.push(`vec4 v${r} = get${r}AtOutCoords();`)});const o=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=` void main() { ${s.join(` `)} vec4 result = ${o}; setOutput(result); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Xl(n){const{inputs:t,backend:e}=n,s=t;if(s.length===1)return Je({inputs:{x:s[0]},backend:e});if(s.length>V().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){const c=Math.floor(s.length/2),l=Xl({inputs:s.slice(0,c),backend:e}),u=Xl({inputs:s.slice(c),backend:e});return Xl({inputs:[l,u],backend:e})}const o=s.map(c=>c.dtype).reduce((c,l)=>Ue(c,l)),r=s.map(c=>c.shape),a=V().getBool("WEBGL_PACK")?new YZ(s[0].shape,r):new _Z(s[0].shape,r);return e.runWebGLProgram(a,s,o)}const QZ={kernelName:ou,backendName:"webgl",kernelFunc:Xl};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function JZ(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r,keepDims:i}=s,a=o.shape.length,c=Ct(r,o.shape);let l=c;const u=Yt(l,a);let d=o;u!=null&&(d=Ve({inputs:{x:o},backend:e,attrs:{perm:u}}),l=ee(l.length,a)),Ie("all",l,a);const[h,p]=ge(d.shape,l),f=A(p),m=tt({inputs:{x:d},backend:e,attrs:{shape:[-1,f]}}),g=Go(m,m.dtype,"all",e);let b;if(i){const x=re(h,c);b=tt({inputs:{x:g},backend:e,attrs:{shape:x}})}else b=tt({inputs:{x:g},backend:e,attrs:{shape:h}});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(g),u!=null&&e.disposeIntermediateTensorInfo(d),b}const jZ={kernelName:ru,backendName:"webgl",kernelFunc:JZ};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function qZ(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r,keepDims:i}=s,a=o.shape.length,c=Ct(r,o.shape);let l=c;const u=Yt(l,a);let d=o;u!=null&&(d=Ve({inputs:{x:o},backend:e,attrs:{perm:u}}),l=ee(l.length,a)),Ie("any",l,a);const[h,p]=ge(d.shape,l),f=A(p),m=tt({inputs:{x:d},backend:e,attrs:{shape:[-1,f]}}),g=Go(m,m.dtype,"any",e);let b;if(i){const x=re(h,c);b=tt({inputs:{x:g},backend:e,attrs:{shape:x}})}else b=tt({inputs:{x:g},backend:e,attrs:{shape:h}});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(g),u!=null&&e.disposeIntermediateTensorInfo(d),b}const tF={kernelName:iu,backendName:"webgl",kernelFunc:qZ};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class eF{constructor(t,e,s){this.variableNames=["A"];const{windowSize:o,batchSize:r,outSize:i}=t;s||this.variableNames.push("bestIndicesA"),this.outputShape=[r,i];const a=e==="max"?">":"<",c=s?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; int outIdx = coords[1]; int inOffset = outIdx * ${o}; int bestIndex = inOffset; float bestValue = getA(batch, bestIndex); for (int i = 0; i < ${o}; i++) { int inIdx = ${c}; float candidate = getA(batch, inIdx); if (candidate ${a} bestValue) { bestValue = candidate; bestIndex = inIdx; } } setOutput(float(bestIndex)); } `}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class nF{constructor(t,e,s,o){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,S(t.length>2,()=>`Packed arg${s.charAt(0).toUpperCase()+s.slice(1)} supports only inputs with rank above 2.`);const r=t[t.length-1],i=Math.ceil(r/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),o||this.variableNames.push("bestIndicesA");const a=this.outputShape,c=a.length,l=Mt(c),u=ze("coords",c);let d,h;if(i===1){h=c+1;const v=Mt(h);d=` ${v} sourceLocR = ${v}(${u.join()}, 0); ++${u[c-1]}; ${v} sourceLocG = ${v}(${u.join()}, 0); ++${u[c-2]}; ${v} sourceLocA = ${v}(${u.join()}, 0); --${u[c-1]}; ${v} sourceLocB = ${v}(${u.join()}, 0); --${u[c-2]};`}else h=c,d=` ${l} sourceLocR = coords; ++${u[c-1]}; ${l} sourceLocG = coords; ++${u[c-2]}; ${l} sourceLocA = coords; --${u[c-1]}; ${l} sourceLocB = coords; --${u[c-2]};`;const p=["x","y","z","w","u","v"].slice(0,h),f="."+p[h-1],m=p.map(v=>"int "+v),g=ze("sourceLocR",h-1).concat("inIdx.r"),b=ze("sourceLocG",h-1).concat("inIdx.g"),x=ze("sourceLocB",h-1).concat("inIdx.b"),C=ze("sourceLocA",h-1).concat("inIdx.a"),y=s==="max"?"greaterThan":"lessThan",I=o?"":` inIdx = round(vec4(getBestIndicesAChannel(${g.join()}), getBestIndicesAChannel(${b.join()}), getBestIndicesAChannel(${x.join()}), getBestIndicesAChannel(${C.join()})));`,w=`vec4( getAChannel(${g.join()}), hasNextCol ? getAChannel(${b.join()}) : 0., hasNextRow ? getAChannel(${x.join()}) : 0., hasNextRow && hasNextCol ? getAChannel(${C.join()}) : 0.)`,k=o?"":` float getBestIndicesAChannel(${m.join()}) { return getChannel(getBestIndicesA(${p.join()}), vec2(${p.slice(-2).join()})); }`;this.userCode=` float getAChannel(${m.join()}) { return getChannel(getA(${p.join()}), vec2(${p.slice(-2).join()})); } ${k} void main() { ${l} coords = getOutputCoords(); bool hasNextCol = ${u[c-1]} < ${a[c-1]-1}; bool hasNextRow = ${u[c-2]} < ${a[c-2]-1}; ${d} ivec4 srcIdx = ivec4(sourceLocR${f}, sourceLocG${f}, sourceLocB${f}, sourceLocA${f}) * ${e}; ivec4 inIdx = srcIdx; vec4 bestIndex = vec4(inIdx); vec4 bestValue = ${w}; for (int i = 0; i < ${e}; i++) { inIdx = srcIdx; ${I} vec4 candidate = ${w}; bvec4 nan = isnan(candidate); bvec4 replace = bvec4( vec4(${y}(candidate, bestValue)) * (vec4(1.0) - vec4(nan))); bestValue = vec4(replace.x ? candidate.x : bestValue.x, replace.y ? candidate.y : bestValue.y, replace.z ? candidate.z : bestValue.z, replace.w ? candidate.w : bestValue.w); bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace)); srcIdx++; } setOutput(bestIndex); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function H1(n,t,e,s=null){let o=t.shape[0],r=t.shape[1];s!=null&&(o=s.shape[0],r=s.shape[1]);const i=Dc(r),a={windowSize:i,inSize:r,batchSize:o,outSize:Math.ceil(r/i)},c=new eF(a,e,s==null),l=[t];s!=null&&l.push(s);const u=n.runWebGLProgram(c,l,"int32");if(u.shape[1]===1)return u;const d=H1(n,t,e,u);return n.disposeIntermediateTensorInfo(u),d}function B1(n,t,e,s=null){const o=s!=null?s.shape:t.shape,r=o[o.length-1],i=Dc(r),a=new nF(o,i,e,s==null),c=s==null?[t]:[t,s],l=n.runWebGLProgram(a,c,"int32");if(l.shape.length===t.shape.length){const u=B1(n,t,e,l);return n.disposeIntermediateTensorInfo(l),u}return l}function U1(n,t,e,s){const o=[e];if(Ie("arg"+s.charAt(0).toUpperCase()+s.slice(1),o,t.shape.length),!V().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){const r=[],i=n.texData.get(t.dataId),a=i!==null&&i.isPacked;let c=t;a&&(c=n.unpackTensor(t),r.push(c));const[l,u]=ge(c.shape,o),d=A(u),h=tt({inputs:{x:c},backend:n,attrs:{shape:[-1,d]}});r.push(h);const p=H1(n,h,s);r.push(p);const f=tt({inputs:{x:p},backend:n,attrs:{shape:l}});return r.forEach(m=>n.disposeIntermediateTensorInfo(m)),f}return B1(n,t,s)}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function sF(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r}=s;let i=Ct(r,o.shape);const a=Yt(i,o.shape.length);let c=o;const l=[];a!=null&&(c=Ve({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(c),i=ee(i.length,c.shape.length)),Ie("argMax",[i[0]],c.shape.length);const u=U1(e,c,i[0],"max");return l.forEach(d=>e.disposeIntermediateTensorInfo(d)),u}const oF={kernelName:Ia,backendName:"webgl",kernelFunc:sF};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function rF(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r}=s;let i=Ct(r,o.shape);const a=Yt(i,o.shape.length);let c=o;const l=[];a!=null&&(c=Ve({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(c),i=ee(i.length,c.shape.length)),Ie("argMin",[i[0]],c.shape.length);const u=U1(e,c,i[0],"min");return l.forEach(d=>e.disposeIntermediateTensorInfo(d)),u}const iF={kernelName:wa,backendName:"webgl",kernelFunc:rF};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const aF=wn+` if (abs(x) > 1.) { return NAN; } return asin(x); `,cF=Tt({opSnippet:aF}),lF={kernelName:Tr,backendName:"webgl",kernelFunc:cF};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const uF=wn+"return log(x + sqrt(x * x + 1.0));",dF=Tt({opSnippet:uF}),hF={kernelName:Nr,backendName:"webgl",kernelFunc:dF};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const pF=wn+` return atan(x); `,fF=Tt({opSnippet:pF}),mF={kernelName:Rr,backendName:"webgl",kernelFunc:fF};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const gF=Lp+` return atan(a, b); `,bF=` vec4 result = atan(a, b); bvec4 isNaNA = isnan(a); bvec4 isNaNB = isnan(b); bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w); `+Ro+` return result; `,xF=Se({opSnippet:gF,packedOpSnippet:bF}),yF={kernelName:Lr,backendName:"webgl",kernelFunc:xF};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const CF=wn+` if ((x < -1.0) || (x > 1.0)) return NAN; return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,IF=Tt({opSnippet:CF}),wF={kernelName:Gr,backendName:"webgl",kernelFunc:IF};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class la{constructor(t,e,s,o=!1,r=!1){if(this.variableNames=["x"],e==="avg"&&s)throw new Error("Cannot compute positions for average pool.");const i=t.filterWidth,a=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,u=t.dilationWidth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,p=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;const m=e==="avg",g=`((batch * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + d`,b=`(xR * ${t.inWidth} + xC) * ${t.inChannels} + d`;let x="0.0";if(m||(x="-1.0 / 1e-20"),s){const v=">=";this.userCode=` const ivec2 strides = ivec2(${a}, ${c}); const ivec2 pads = ivec2(${p}, ${f}); void main() { ivec4 coords = getOutputCoords(); int batch = coords[0]; int d = coords[3]; ivec2 xRCCorner = coords.yz * strides - pads; int xRCorner = xRCCorner.x; int xCCorner = xRCCorner.y; // max/min x(?, ?, d) to get y(yR, yC, d). // ? = to be determined float minMaxValue = 0.0; float minMaxValueFound = 0.0; int minMaxPosition = 0; float avgValue = 0.0; for (int wR = 0; wR < ${d}; wR += ${l}) { int xR = xRCorner + wR; if (xR < 0 || xR >= ${t.inHeight}) { continue; } for (int wC = 0; wC < ${h}; wC += ${u}) { int xC = xCCorner + wC; if (xC < 0 || xC >= ${t.inWidth}) { continue; } float value = getX(batch, xR, xC, d); // If a min / max value has already been found, use it. If not, // use the current value. float currMinMaxValue = mix( value, minMaxValue, minMaxValueFound); if (value ${v} currMinMaxValue) { minMaxValue = value; minMaxValueFound = 1.0; minMaxPosition = ${o?r?g:b:`wR * ${h} + wC`}; } } } setOutput(float(minMaxPosition)); } `;return}const C="max";let y=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e==="avg"&&(y="avgValue / max(count, 1.0)");const I=Math.floor(i/4)*4,w=i%4,k=` if (${m}) { avgValue += dot(values, ones); } else { minMaxValue = ${C}(values, minMaxValue); } `;this.userCode=` const ivec2 strides = ivec2(${a}, ${c}); const ivec2 pads = ivec2(${p}, ${f}); const float initializationValue = ${x}; const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); float count = 0.0; float getValue(int batch, int xR, int xC, int d) { if (xC < 0 || xC >= ${t.inWidth}) { return initializationValue; } count += 1.0; return getX(batch, xR, xC, d); } void main() { ivec4 coords = getOutputCoords(); int batch = coords[0]; int d = coords[3]; ivec2 xRCCorner = coords.yz * strides - pads; int xRCorner = xRCCorner.x; int xCCorner = xRCCorner.y; // max/min x(?, ?, d) to get y(yR, yC, d). // ? = to be determined vec4 minMaxValue = vec4(${x}); float avgValue = 0.0; count = 0.0; for (int wR = 0; wR < ${d}; wR += ${l}) { int xR = xRCorner + wR; if (xR < 0 || xR >= ${t.inHeight}) { continue; } for (int wC = 0; wC < ${I}; wC += 4) { int xC = xCCorner + wC * ${u}; vec4 values = vec4( getValue(batch, xR, xC, d), getValue(batch, xR, xC + ${u}, d), getValue(batch, xR, xC + 2 * ${u}, d), getValue(batch, xR, xC + 3 * ${u}, d) ); ${k} } int xC = xCCorner + ${I}; if (${w===1}) { vec4 values = vec4( getValue(batch, xR, xC, d), initializationValue, initializationValue, initializationValue ); ${k} } else if (${w===2}) { vec4 values = vec4( getValue(batch, xR, xC, d), getValue(batch, xR, xC + ${u}, d), initializationValue, initializationValue ); ${k} } else if (${w===3}) { vec4 values = vec4( getValue(batch, xR, xC, d), getValue(batch, xR, xC + ${u}, d), getValue(batch, xR, xC + 2 * ${u}, d), initializationValue ); ${k} } } setOutput(${y}); } `}}class Wp{constructor(t,e,s,o=!1,r=!1){if(this.variableNames=["x"],e==="avg"&&s)throw new Error("Cannot compute positions for average pool.");const i=t.filterWidth,a=t.strideDepth,c=t.strideHeight,l=t.strideWidth,u=t.dilationDepth,d=t.dilationHeight,h=t.dilationWidth,p=t.effectiveFilterDepth,f=t.effectiveFilterHeight,m=t.effectiveFilterWidth,g=t.padInfo.front,b=t.padInfo.top,x=t.padInfo.left;this.outputShape=t.outShape;const C=e==="avg";let y="0.0";if(C||(y="-1.0 / 1e-20"),s){const R=">=";this.userCode=` const ivec3 strides = ivec3(${a}, ${c}, ${l}); const ivec3 pads = ivec3(${g}, ${b}, ${x}); void main() { ivec5 coords = getOutputCoords(); int batch = coords.x; int ch = coords.u; ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads; int xDCorner = xCorner.x; int xRCorner = xCorner.y; int xCCorner = xCorner.z; // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch). // ? = to be determined float minMaxValue = 0.0; float minMaxValueFound = 0.0; int minMaxPosition = 0; for (int wD = 0; wD < ${p}; wD += ${u}) { int xD = xDCorner + wD; if (xD < 0 || xD >= ${t.inDepth}) { continue; } for (int wR = 0; wR < ${f}; wR += ${d}) { int xR = xRCorner + wR; if (xR < 0 || xR >= ${t.inHeight}) { continue; } for (int wC = 0; wC < ${m}; wC += ${h}) { int xC = xCCorner + wC; if (xC < 0 || xC >= ${t.inWidth}) { continue; } float value = getX(batch, xD, xR, xC, ch); // If a min / max value has already been found, use it. If not, // use the current value. float currMinMaxValue = mix( value, minMaxValue, minMaxValueFound); if (value ${R} currMinMaxValue) { minMaxValue = value; minMaxValueFound = 1.0; minMaxPosition = ${o?r?`(((batch * ${t.inDepth} + xD) * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`((xD * ${t.inHeight} + xR) * ${t.inWidth} + xC) * ${t.inChannels} + ch`:`wD * ${f} * ${m} + wR * ${m} + wC`}; } } } } setOutput(float(minMaxPosition)); } `;return}const I="max";let w=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e==="avg"&&(w="avgValue / max(count, 1.0)");const k=Math.floor(i/4)*4,v=i%4,T=` if (${C}) { avgValue += dot(values, ones); } else { minMaxValue = ${I}(values, minMaxValue); } `;this.userCode=` const ivec3 strides = ivec3(${a}, ${c}, ${l}); const ivec3 pads = ivec3(${g}, ${b}, ${x}); const float initializationValue = ${y}; const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0); float count = 0.0; float getValue(int batch, int xD, int xR, int xC, int ch) { if (xC < 0 || xC >= ${t.inWidth}) { return initializationValue; } count += 1.0; return getX(batch, xD, xR, xC, ch); } void main() { ivec5 coords = getOutputCoords(); int batch = coords.x; int ch = coords.u; ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads; int xDCorner = xCorner.x; int xRCorner = xCorner.y; int xCCorner = xCorner.z; // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch). // ? = to be determined vec4 minMaxValue = vec4(${y}); float avgValue = 0.0; count = 0.0; for (int wD = 0; wD < ${p}; wD += ${u}) { int xD = xDCorner + wD; if (xD < 0 || xD >= ${t.inDepth}) { continue; } for (int wR = 0; wR < ${f}; wR += ${d}) { int xR = xRCorner + wR; if (xR < 0 || xR >= ${t.inHeight}) { continue; } for (int wC = 0; wC < ${k}; wC += 4) { int xC = xCCorner + wC * ${h}; vec4 values = vec4( getValue(batch, xD, xR, xC, ch), getValue(batch, xD, xR, xC + ${h}, ch), getValue(batch, xD, xR, xC + 2 * ${h}, ch), getValue(batch, xD, xR, xC + 3 * ${h}, ch) ); ${T} } int xC = xCCorner + ${k}; if (${v===1}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), initializationValue, initializationValue, initializationValue ); ${T} } else if (${v===2}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), getValue(batch, xD, xR, xC + ${h}, ch), initializationValue, initializationValue ); ${T} } else if (${v===3}) { vec4 values = vec4( getValue(batch, xD, xR, xC, ch), getValue(batch, xD, xR, xC + ${h}, ch), getValue(batch, xD, xR, xC + 2 * ${h}, ch), initializationValue ); ${T} } } } setOutput(${w}); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function SF(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t;ia(o,"avgPool");const{filterSize:r,strides:i,pad:a,dimRoundingMode:c}=s,l=1;S(Ne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);const u=pn(o.shape,r,i,l,a,c);if(u.filterWidth===1&&u.filterHeight===1&&Rt(u.inShape,u.outShape))return Je({inputs:{x:o},backend:e});const d=new la(u,"avg",!1);return e.runWebGLProgram(d,[o],"float32")}const vF={kernelName:Sa,backendName:"webgl",kernelFunc:SF};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function kF(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{filterSize:r,strides:i,pad:a,dimRoundingMode:c,dataFormat:l}=s,u=[1,1,1],d=ss(o.shape,r,i,u,a,c,l),h=new Wp(d,"avg",!1);return e.runWebGLProgram(h,[o],"float32")}const TF={kernelName:va,backendName:"webgl",kernelFunc:kF};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class NF{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;const e=t.filterHeight,s=t.filterWidth,o=t.strideHeight,r=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,c=t.effectiveFilterHeight,l=t.effectiveFilterWidth,u=c-1-t.padInfo.top,d=l-1-t.padInfo.left,h=1/(e*s);this.userCode=` const ivec2 pads = ivec2(${u}, ${d}); const float avgMultiplier = float(${h}); void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int d = coords[3]; ivec2 dyRCCorner = coords.yz - pads; int dyRCorner = dyRCCorner.x; int dyCCorner = dyRCCorner.y; // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). // ? = to be determined. : = across all values in that axis. float dotProd = 0.0; for (int wR = 0; wR < ${c}; wR += ${i}) { float dyR = float(dyRCorner + wR) / ${o}.0; if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) { continue; } int idyR = int(dyR); for (int wC = 0; wC < ${l}; wC+= ${a}) { float dyC = float(dyCCorner + wC) / ${r}.0; if (dyC < 0.0 || dyC >= ${t.outWidth}.0 || fract(dyC) > 0.0) { continue; } int idyC = int(dyC); float dyValue = getDy(b, idyR, idyC, d); dotProd += dyValue * avgMultiplier; } } setOutput(dotProd); } `}}class RF{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;const e=t.filterDepth,s=t.filterHeight,o=t.filterWidth,r=t.strideDepth,i=t.strideHeight,a=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,u=t.dilationWidth,d=t.effectiveFilterDepth,h=t.effectiveFilterHeight,p=t.effectiveFilterWidth,f=d-1-t.padInfo.front,m=h-1-t.padInfo.top,g=p-1-t.padInfo.left,b=1/(e*s*o);this.userCode=` const ivec3 pads = ivec3(${f}, ${m}, ${g}); const float avgMultiplier = float(${b}); void main() { ivec5 coords = getOutputCoords(); int batch = coords.x; int ch = coords.u; ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads; int dyDCorner = dyCorner.x; int dyRCorner = dyCorner.y; int dyCCorner = dyCorner.z; // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get // dx(xD, xR, xC, ch). // ? = to be determined. : = across all values in that axis. float dotProd = 0.0; for (int wD = 0; wD < ${d}; wD += ${c}) { float dyD = float(dyDCorner + wD) / ${r}.0; if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) { continue; } int idyD = int(dyD); for (int wR = 0; wR < ${h}; wR += ${l}) { float dyR = float(dyRCorner + wR) / ${i}.0; if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) { continue; } int idyR = int(dyR); for (int wC = 0; wC < ${p}; wC += ${u}) { float dyC = float(dyCCorner + wC) / ${a}.0; if (dyC < 0.0 || dyC >= ${t.outWidth}.0 || fract(dyC) > 0.0) { continue; } int idyC = int(dyC); float dyValue = getDy(batch, idyD, idyR, idyC, ch); dotProd += dyValue * avgMultiplier; } } } setOutput(dotProd); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function GF(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,input:r}=t,i=r,{filterSize:a,strides:c,pad:l,dimRoundingMode:u}=s,d=[1,1,1],h=ss(i.shape,a,c,d,l,u),p=new RF(h);return e.runWebGLProgram(p,[o],i.dtype)}const LF={kernelName:cu,backendName:"webgl",kernelFunc:GF};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function $F(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,input:r}=t,i=r;ia([o,r],"avgPoolGrad");const{filterSize:a,strides:c,pad:l}=s,u=pn(i.shape,a,c,1,l),d=new NF(u);return e.runWebGLProgram(d,[o],i.dtype)}const WF={kernelName:au,backendName:"webgl",kernelFunc:$F};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function XF(n){const{inputs:t,backend:e,attrs:s}=n,{a:o,b:r}=t,{transposeA:i,transposeB:a}=s;return Wl({a:o,b:r,transposeA:i,transposeB:a,backend:e})}const MF={kernelName:ka,backendName:"webgl",kernelFunc:XF};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class zF{constructor(t,e,s,o,r,i){this.outputShape=[],this.variableNames=["x","mean","variance"],gt(t,e),gt(t,s);let a="0.0";o!=null&&(gt(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let c="1.0";r!=null&&(gt(t,r),this.variableNames.push("scale"),c="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=` void main() { float x = getXAtOutCoords(); float mean = getMeanAtOutCoords(); float variance = getVarianceAtOutCoords(); float offset = ${a}; float scale = ${c}; float inv = scale * inversesqrt(variance + float(${i})); setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1))); } `}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class VF{constructor(t,e,s,o,r,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],gt(t,e),gt(t,s);let a="vec4(0.0)";o!=null&&(gt(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let c="vec4(1.0)";r!=null&&(gt(t,r),this.variableNames.push("scale"),c="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=` void main() { vec4 offset = ${a}; vec4 scale = ${c}; vec4 x = getXAtOutCoords(); vec4 mean = getMeanAtOutCoords(); vec4 variance = getVarianceAtOutCoords(); vec4 inv = scale * inversesqrt(variance + vec4(${i})); setOutput((x - mean) * inv + offset); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const EF={kernelName:Ea,backendName:"webgl",kernelFunc:({inputs:n,backend:t,attrs:e})=>{const{x:s,mean:o,variance:r,offset:i,scale:a}=n;S(o.shape.length===r.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),S(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),S(a==null||o.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:c}=e;c==null&&(c=.001);const l=[s,o,r];let u=null;i!=null&&(u=i.shape,l.push(i));let d=null;a!=null&&(d=a.shape,l.push(a));const h=V().getBool("WEBGL_PACK_NORMALIZATION")?new VF(s.shape,o.shape,r.shape,u,d,c):new zF(s.shape,o.shape,r.shape,u,d,c);return t.runWebGLProgram(h,l,l[0].dtype)}};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class KF{constructor(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;const e=Mt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];const s=ZF(this.rank);let o;const r=t.map((i,a)=>`sourceLoc.${Xp[a]} = start[${a}] + coords.${Xp[a]};`);o=` ${e} sourceLoc; ${e} coords = getOutputCoords(); ${r.join(` `)} `,this.userCode=` void main() { ${o} setOutput(getSource(${s})); } `}}const Xp=["x","y","z","w","u","v"];function ZF(n){if(n===1)return"sourceLoc";if(n<=6)return Xp.slice(0,n).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${n} is not yet supported`)}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class FF{constructor(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];const e=Mt(this.rank),s=ze("coords",this.rank),o=ze("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${o.slice(-2).join()})`,i=`getChannel(getSource(${o.join()}), ${r})`,a=` result.x = ${i}; if (++${s[this.rank-1]} < ${t[this.rank-1]}) { ++${o[this.rank-1]}; result.y = ${i}; --${o[this.rank-1]}; } `,c=this.rank===1?"":` --${s[this.rank-1]}; if (++${s[this.rank-2]} < ${t[this.rank-2]}) { ++${o[this.rank-2]}; result.z = ${i}; if (++${s[this.rank-1]} < ${t[this.rank-1]}) { ++${o[this.rank-1]}; result.w = ${i}; } } `,l=this.rank<=4?`sourceLoc = coords + ${e}(${t.map((u,d)=>`start[${d}]`).join()});`:t.map((u,d)=>`${o[d]} = ${s[d]} + start[${d}];`).join(` `);this.userCode=` void main() { ${e} coords = getOutputCoords(); ${e} sourceLoc; ${l} vec4 result = vec4(0.); ${a} ${c} setOutput(result); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function DF(n,t,e,s){const o=s.texData.get(n.dataId),r=s.makeTensorInfo(e,n.dtype),i=s.texData.get(r.dataId);Object.assign(i,o),i.refCount=1,i.shape=e,i.dtype=n.dtype;let a=vg(t,ct(n.shape));o.slice&&(a+=o.slice.flatOffset),i.slice={flatOffset:a,origDataId:o.slice&&o.slice.origDataId||n.dataId};const c=s.dataRefCount.get(i.slice.origDataId)||1;return s.dataRefCount.set(i.slice.origDataId,c+1),r}function xr(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{begin:r,size:i}=s,[a,c]=sh(o,r,i);if(Ig(o,a,c),A(c)===0)return e.makeTensorInfo(c,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype==="string"){const d=e.texData.get(o.dataId),h=MK(d.values,a,c,o.shape,o.dtype);return e.makeTensorInfo(c,o.dtype,h)}const{isPacked:l}=e.texData.get(o.dataId),u=Sg(o.shape,a,c);if(l||!u){const d=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new FF(c):new KF(c),h=[a];return e.runWebGLProgram(d,[o],o.dtype,h)}return e.uploadToGPU(o.dataId),DF(o,a,c,e)}const PF={kernelName:hc,backendName:"webgl",kernelFunc:xr};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const OF={kernelName:Ta,backendName:"webgl",kernelFunc:n=>{const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{blockShape:r,crops:i}=s;S(o.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");const a=r.reduce((x,C)=>x*C),c=Vi(o.shape,r,a),l=Ei(c.length,r.length),u=Ki(o.shape,r,a),d=ah(i,r.length),h=ch(u,i,r.length),p=[],f=tt({inputs:{x:o},backend:e,attrs:{shape:c}}),m=Ve({inputs:{x:f},backend:e,attrs:{perm:l}}),g=tt({inputs:{x:m},backend:e,attrs:{shape:u}}),b=xr({inputs:{x:g},backend:e,attrs:{begin:d,size:h}});return p.push(f),p.push(m),p.push(g),p.forEach(x=>e.disposeIntermediateTensorInfo(x)),b}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function AF(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,weights:r}=t,{size:i}=s,a=e.readSync(o.dataId),c=e.readSync(r.dataId),l=v1(a,c,r.dtype,r.shape,i);return e.makeTensorInfo([i],r.dtype,l)}const HF={kernelName:lu,backendName:"webgl",kernelFunc:AF};/** * @license * Copyright 2023 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const BF=` int r = int(a.r) & int(b.r); int g = int(a.g) & int(b.g); int rb = int(a.b) & int(b.b); int ra = int(a.a) & int(b.a); return vec4(r, g, rb, ra); `,UF=` return float(int(a.r) & int(b.r)); `;function _F(n){const{inputs:t,backend:e}=n,{a:s,b:o}=t,r=V().getBool("WEBGL_PACK_BINARY_OPERATIONS"),i=V().getNumber("WEBGL_VERSION");if(e.shouldExecuteOnCPU([s,o])||i===1){const c=e.texData.get(s.dataId).values,l=e.texData.get(o.dataId).values,[u,d]=oK(s.shape,o.shape,c,l,s.dtype),h=e.makeTensorInfo(d,s.dtype),p=e.texData.get(h.dataId);return p.values=u,h}let a;return r?a=new gr(BF,s.shape,o.shape,!1):a=new No(UF,s.shape,o.shape),e.runWebGLProgram(a,[s,o],s.dtype)}const YF={kernelName:uu,backendName:"webgl",kernelFunc:_F};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function QF(n){const{inputs:t,backend:e}=n,{s0:s,s1:o}=t,r=e.readSync(s.dataId),i=e.readSync(o.dataId),a=gt(Array.from(r),Array.from(i));return e.makeTensorInfo([a.length],"int32",Int32Array.from(a))}const JF={kernelName:bf,backendName:"webgl",kernelFunc:QF};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const _1=Se({opSnippet:"return float(a != b);",cpuKernelImpl:kK,dtype:"bool"}),jF={kernelName:tc,backendName:"webgl",kernelFunc:_1};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function ua(n){const{inputs:t,backend:e}=n,{input:s}=t,o=e.texData.get(s.dataId);return Je({inputs:{x:o.complexTensorInfos.real},backend:e})}const qF={kernelName:Eu,backendName:"webgl",kernelFunc:ua};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const tD="return float(int(x));";function eD(n,t){const e=new jn(n.shape,tD),s=t.runWebGLProgram(e,[n],"int32");return{dataId:s.dataId,shape:s.shape,dtype:s.dtype}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Mp(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{dtype:r}=s;if(r==="complex64"){if(o.dtype==="complex64")return Je({inputs:{x:o},backend:e});const i=be(o.shape),a=Mp({inputs:{x:o},backend:e,attrs:{dtype:"float32"}}),c=Zs({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),c}if(o.dtype==="complex64"){const i=ua({inputs:{input:o},backend:e}),a=Mp({inputs:{x:i},backend:e,attrs:{dtype:r}});return e.disposeIntermediateTensorInfo(i),a}if(!df(o.dtype,r)){const i=Je({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:r}}if(e.shouldExecuteOnCPU([o])){const i=e.texData.get(o.dataId).values,[a,c,l]=rK(i,o.shape,o.dtype,r);return e.makeTensorInfo(a,c,l)}if(r==="int32")return eD(o,e);if(r==="bool"){const i=e.makeTensorInfo([],"bool",ke("bool",1)),c=_1({inputs:{a:o,b:i},backend:e});return e.disposeIntermediateTensorInfo(i),c}throw new Error(`Error in Cast: failed to cast ${o.dtype} to ${r}`)}const nD={kernelName:$r,backendName:"webgl",kernelFunc:Mp};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const Y1="return ceil(x);",sD=Tt({opSnippet:Y1,packedOpSnippet:Y1,cpuKernelImpl:iK}),oD={kernelName:Wr,backendName:"webgl",kernelFunc:sD};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class rD{constructor(t){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode=` void main() { float value = getAAtOutCoords(); if (isnan(value)) { setOutput(value); return; } setOutput(clamp(value, minVal, maxVal)); } `}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class iD{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode=` void main() { vec4 value = getAAtOutCoords(); if (any(isnan(value))) { setOutput(value); return; } setOutput(clamp(value, vec4(minVal), vec4(maxVal))); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function aD(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{clipValueMin:r,clipValueMax:i}=s;let a;V().getBool("WEBGL_PACK_CLIP")?a=new iD(o.shape):a=new rD(o.shape);const c=[[r],[i]];return e.runWebGLProgram(a,[o],o.dtype,c)}const cD={kernelName:Xr,backendName:"webgl",kernelFunc:aD};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class lD{constructor(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode=` void main() { float re = abs(getRealAtOutCoords()); float im = abs(getImagAtOutCoords()); float mx = max(re, im); // sadly the length function in glsl is not underflow-safe // (at least not on Intel GPUs). So the safe solution is // to ensure underflow-safety in all cases. setOutput( mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx)) ); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Q1(n,t){return{dataId:t.dataId,dtype:t.dtype,shape:n.shape}}function uD(n){const{inputs:t,backend:e}=n,{x:s}=t,o=e.texData.get(s.dataId),r=new lD(s.shape),i=[Q1(s,o.complexTensorInfos.real),Q1(s,o.complexTensorInfos.imag)];return e.runWebGLProgram(r,i,i[0].dtype)}const dD={kernelName:Na,backendName:"webgl",kernelFunc:uD};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class hD{constructor(t){this.outputShape=[],this.outputShape=On(t,1),this.variableNames=t.map((i,a)=>`T${a}`);const e=new Array(t.length-1);e[0]=t[0][1];for(let i=1;i`T${g}`);const c=new Array(t.length-1);c[0]=t[0][e];for(let m=1;m= ${c[m-1]}) { return getChannel( getT${m}(${Ml(a,l,g)}), vec2(${Ml(u,l,g)})); }`}const p=c.length,f=c[c.length-1];h+=` return getChannel( getT${p}(${Ml(a,l,f)}), vec2(${Ml(u,l,f)}));`,this.userCode=` float getValue(${a.map(m=>"int "+m)}) { ${h} } void main() { ${r} coords = getOutputCoords(); vec4 result = vec4(getValue(${i}), 0., 0., 0.); ${i[o-1]} = ${i[o-1]} + 1; if (${i[o-1]} < ${s[o-1]}) { result.g = getValue(${i}); } ${i[o-2]} = ${i[o-2]} + 1; if (${i[o-2]} < ${s[o-2]}) { result.a = getValue(${i}); } ${i[o-1]} = ${i[o-1]} - 1; if (${i[o-2]} < ${s[o-2]} && ${i[o-1]} < ${s[o-1]}) { result.b = getValue(${i}); } setOutput(result); } `}}function Ml(n,t,e){const s=n.indexOf(t);return n.map((r,i)=>i===s?`${r} - ${e}`:r).join()}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zl(n){const{inputs:t,backend:e}=n,{input:s}=t,o=e.texData.get(s.dataId);return Je({inputs:{x:o.complexTensorInfos.imag},backend:e})}const fD={kernelName:Gu,backendName:"webgl",kernelFunc:zl};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function da(n,t,e){const s=n[0].dtype;if(s==="complex64"){const p=n.map(x=>ua({inputs:{input:x},backend:e})),f=n.map(x=>zl({inputs:{input:x},backend:e})),m=da(p,t,e),g=da(f,t,e),b=Zs({inputs:{real:m,imag:g},backend:e});return p.forEach(x=>e.disposeIntermediateTensorInfo(x)),f.forEach(x=>e.disposeIntermediateTensorInfo(x)),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(g),b}let o=e.shouldExecuteOnCPU(n);if(s==="string"&&(o=!0),o){const p=n.map(y=>{const w=[-1,A(y.shape.slice(t))];return tt({inputs:{x:y},backend:e,attrs:{shape:w}})}),f=p.map(y=>({vals:e.readSync(y.dataId),shape:y.shape})),m=On(p.map(y=>y.shape),1),g=p[0].shape[0]===1,b=aK(f,m,s,g),x=On(n.map(y=>y.shape),t),C=e.makeTensorInfo(x,s,b);return p.forEach(y=>e.disposeIntermediateTensorInfo(y)),C}const r=n.filter(p=>A(p.shape)>0),i=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&r[0].shape.length>1;if(r.length===1){const p=i?new jn(n[0].shape,Es):new Ks(n[0].shape,Es);return e.runWebGLProgram(p,n,s)}const a=V().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(r.length>a){const p=[];for(let m=0;mf.shape),t);return e.runWebGLProgram(p,r,s)}const{tensors2D:c,outShape:l}=mD(r,t,e),u=new hD(c.map(p=>p.shape)),d=e.runWebGLProgram(u,c,s);c.forEach(p=>e.disposeIntermediateTensorInfo(p));const h=tt({inputs:{x:d},attrs:{shape:l},backend:e});return e.disposeIntermediateTensorInfo(d),h}function mD(n,t,e){const s=On(n.map(r=>r.shape),t);return{tensors2D:n.map(r=>tt({inputs:{x:r},attrs:{shape:[-1,A(r.shape.slice(t))]},backend:e})),outShape:s}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function J1(n){const{inputs:t,backend:e,attrs:s}=n,{axis:o}=s,r=Ct(o,t[0].shape)[0],i=t.map(l=>l.shape);oh(i,r);const a=On(t.map(l=>l.shape),r);if(A(a)===0)return e.makeTensorInfo(a,t[0].dtype,[]);const c=t.filter(l=>A(l.shape)>0);return c.length===1?Je({inputs:{x:c[0]},backend:e}):da(c,r,e)}const gD={kernelName:Ra,backendName:"webgl",kernelFunc:J1};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class j1{constructor(t,e=!1,s=null,o=!1,r=!1){this.variableNames=["x","W"],this.outputShape=t.outShape;const i=t.padInfo.top,a=t.padInfo.left,c=t.strideHeight,l=t.strideWidth,u=t.dilationHeight,d=t.dilationWidth,h=t.filterHeight,p=t.filterWidth,f=Math.floor(t.inChannels/4)*4,m=t.inChannels%4,g=t.dataFormat==="channelsLast",b=g?1:2,x=g?2:3,C=g?3:1;let y="",I="";s&&(o?y=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${s} }`:r?y=`float activation(float a) { float b = getLeakyreluAlphaAtOutCoords(); ${s} }`:y=` float activation(float x) { ${s} } `,I="result = activation(result);");const w=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=` ${y} const ivec2 strides = ivec2(${c}, ${l}); const ivec2 pads = ivec2(${i}, ${a}); void main() { ivec4 coords = getOutputCoords(); int batch = coords[0]; int d2 = coords[${C}]; ivec2 xRCCorner = ivec2(coords[${b}], coords[${x}]) * strides - pads; int xRCorner = xRCCorner.x; int xCCorner = xRCCorner.y; // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2). // ? = to be determined. : = across all values in that axis. float dotProd = 0.0; for (int wR = 0; wR < ${h}; wR++) { int xR = xRCorner + wR * ${u}; if (xR < 0 || xR >= ${t.inHeight}) { continue; } for (int wC = 0; wC < ${p}; wC++) { int xC = xCCorner + wC * ${d}; if (xC < 0 || xC >= ${t.inWidth}) { continue; } for (int d1 = 0; d1 < ${f}; d1 += 4) { vec4 wValues = vec4( getW(wR, wC, d1, d2), getW(wR, wC, d1 + 1, d2), getW(wR, wC, d1 + 2, d2), getW(wR, wC, d1 + 3, d2) ); if (${g}) { vec4 xValues = vec4( getX(batch, xR, xC, d1), getX(batch, xR, xC, d1 + 1), getX(batch, xR, xC, d1 + 2), getX(batch, xR, xC, d1 + 3) ); dotProd += dot(xValues, wValues); } else { vec4 xValues = vec4( getX(batch, d1, xR, xC), getX(batch, d1 + 1, xR, xC), getX(batch, d1 + 2, xR, xC), getX(batch, d1 + 3, xR, xC) ); dotProd += dot(xValues, wValues); } } if (${m===1}) { if (${g}) { dotProd += getX(batch, xR, xC, ${f}) * getW(wR, wC, ${f}, d2); } else { dotProd += getX(batch, ${f}, xR, xC) * getW(wR, wC, ${f}, d2); } } else if (${m===2}) { vec2 wValues = vec2( getW(wR, wC, ${f}, d2), getW(wR, wC, ${f} + 1, d2) ); if (${g}) { vec2 xValues = vec2( getX(batch, xR, xC, ${f}), getX(batch, xR, xC, ${f} + 1) ); dotProd += dot(xValues, wValues); } else { vec2 xValues = vec2( getX(batch, ${f}, xR, xC), getX(batch, ${f} + 1, xR, xC) ); dotProd += dot(xValues, wValues); } } else if (${m===3}) { vec3 wValues = vec3( getW(wR, wC, ${f}, d2), getW(wR, wC, ${f} + 1, d2), getW(wR, wC, ${f} + 2, d2) ); if (${g}) { vec3 xValues = vec3( getX(batch, xR, xC, ${f}), getX(batch, xR, xC, ${f} + 1), getX(batch, xR, xC, ${f} + 2) ); dotProd += dot(xValues, wValues); } else { vec3 xValues = vec3( getX(batch, ${f}, xR, xC), getX(batch, ${f} + 1, xR, xC), getX(batch, ${f} + 2, xR, xC) ); dotProd += dot(xValues, wValues); } } } } float result = dotProd; ${w} ${I} setOutput(result); } `}}class bD{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;const e=t.padInfo.front,s=t.padInfo.top,o=t.padInfo.left,r=t.strideDepth,i=t.strideHeight,a=t.strideWidth,c=t.dilationDepth,l=t.dilationHeight,u=t.dilationWidth,d=t.filterDepth,h=t.filterHeight,p=t.filterWidth,f=Math.floor(t.inChannels/4)*4,m=t.inChannels%4;this.userCode=` const ivec3 strides = ivec3(${r}, ${i}, ${a}); const ivec3 pads = ivec3(${e}, ${s}, ${o}); void main() { ivec5 coords = getOutputCoords(); int batch = coords.x; int d2 = coords.u; ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads; int xFCorner = xFRCCorner.x; int xRCorner = xFRCCorner.y; int xCCorner = xFRCCorner.z; // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get // y(yF, yR, yC, d2). ? = to be determined. : = across all // values in that axis. float dotProd = 0.0; for (int wF = 0; wF < ${d}; wF++) { int xF = xFCorner + wF * ${c}; if (xF < 0 || xF >= ${t.inDepth}) { continue; } for (int wR = 0; wR < ${h}; wR++) { int xR = xRCorner + wR * ${l}; if (xR < 0 || xR >= ${t.inHeight}) { continue; } for (int wC = 0; wC < ${p}; wC++) { int xC = xCCorner + wC * ${u}; if (xC < 0 || xC >= ${t.inWidth}) { continue; } for (int d1 = 0; d1 < ${f}; d1 += 4) { vec4 xValues = vec4( getX(batch, xF, xR, xC, d1), getX(batch, xF, xR, xC, d1 + 1), getX(batch, xF, xR, xC, d1 + 2), getX(batch, xF, xR, xC, d1 + 3) ); vec4 wValues = vec4( getW(wF, wR, wC, d1, d2), getW(wF, wR, wC, d1 + 1, d2), getW(wF, wR, wC, d1 + 2, d2), getW(wF, wR, wC, d1 + 3, d2) ); dotProd += dot(xValues, wValues); } if (${m===1}) { dotProd += getX(batch, xF, xR, xC, ${f}) * getW(wF, wR, wC, ${f}, d2); } else if (${m===2}) { vec2 xValues = vec2( getX(batch, xF, xR, xC, ${f}), getX(batch, xF, xR, xC, ${f} + 1) ); vec2 wValues = vec2( getW(wF, wR, wC, ${f}, d2), getW(wF, wR, wC, ${f} + 1, d2) ); dotProd += dot(xValues, wValues); } else if (${m===3}) { vec3 xValues = vec3( getX(batch, xF, xR, xC, ${f}), getX(batch, xF, xR, xC, ${f} + 1), getX(batch, xF, xR, xC, ${f} + 2) ); vec3 wValues = vec3( getW(wF, wR, wC, ${f}, d2), getW(wF, wR, wC, ${f} + 1, d2), getW(wF, wR, wC, ${f} + 2, d2) ); dotProd += dot(xValues, wValues); } } } } setOutput(dotProd); } `}}/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class q1{constructor(t,e=!1,s=null,o=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=Le(this.outputShape.length);const i=t.padInfo.left,a=t.strideWidth,c=t.dilationWidth,l=t.filterHeight,u=t.filterWidth,d=u;let h=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g=0 && xR < inDims[0]) { `;for(let g=0;g<(d+1)/2;g++){const b=g*2;if(h+=` xC = xCCorner + ${b*c}; `,a===1){if(b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) { xTexelC${b} = getX(batch, xR, xCOffset, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xCOffset + 1 >= inDims[1]) { xTexelC${b}.zw = vec2(0.0); } xTexelC${b}Ready = 1; } `,c===1&&b>0?h+=` xC${b} = vec4(xTexelC${b-2}.zw, xTexelC${b}.xy); `:h+=` xCOffset = xC + 1 - 2; if (xCOffset >= 0 && xCOffset < inDims[1]) { previous = getX(batch, xR, xCOffset, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xCOffset + 1 >= inDims[1]) { previous.zw = vec2(0.0); } xC${b} = vec4(previous.zw, xTexelC${b}.xy); } else { xC${b} = vec4(0.0, 0.0, xTexelC${b}.xy); } `):h+=` if (xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) { xTexelC${b} = getX(batch, xR, xC, d1); if (xC + 1 >= inDims[1]) { xTexelC${b}.zw = vec2(0.0); } xTexelC${b}Ready = 1; } xC${b} = xTexelC${b}; `,b+1= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) { xTexelC${b+1} = getX(batch, xR, xCOffset, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xCOffset + 1 >= inDims[1]) { xTexelC${b+1}.zw = vec2(0.0); } xTexelC${b+1}Ready = 1; } `,c>1?h+=` xCOffset -= 2; if (xCOffset >= 0 && xCOffset < inDims[1]) { previous = getX(batch, xR, xCOffset, d1); xC${b+1} = vec4(previous.zw, xTexelC${b+1}.xy); } else { xC${b+1} = vec4(0.0, 0.0, xTexelC${b+1}.xy); } `:h+=` xC${b+1} = vec4(xTexelC${b}.zw, xTexelC${b+1}.xy); `):x===1?h+=` xC${b+1} = xTexelC${b}; `:h+=` xCOffset = xC + ${x}; if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) { xTexelC${b+1} = getX(batch, xR, xCOffset, d1); if (xCOffset + 1 >= inDims[1]) { xTexelC${b+1}.zw = vec2(0.0); } xTexelC${b+1}Ready = 1; } xC${b+1} = xTexelC${b+1}; `}}else b= 0 && xCOffset < inDims[1] && xTexelC${b}Ready == 0) { xTexelC${b} = getX(batch, xR, xCOffset, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xCOffset + 1 >= inDims[1]) { xTexelC${b}.zw = vec2(0.0); } xTexelC${b}Ready = 1; } if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${b+1}Ready == 0) { xTexelC${b+1} = getX(batch, xR, xC + 1, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xC + 2 >= inDims[1]) { xTexelC${b+1}.zw = vec2(0.0); } xTexelC${b+1}Ready = 1; } xC${b} = vec4(xTexelC${b}.zw, xTexelC${b+1}.zw); `,b+1= 0 && xCOffset < inDims[1]) { final = getX(batch, xR, xCOffset, d1); } xC${b+1} = vec4(xTexelC${b+1}.xy, final.xy); `)):(h+=` if(xC >= 0 && xC < inDims[1] && xTexelC${b}Ready == 0) { xTexelC${b} = getX(batch, xR, xC, d1); if (xC + 1 >= inDims[1]) { xTexelC${b}.zw = vec2(0.0); } xTexelC${b}Ready = 1; } xCOffset = xC + strides[1]; if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${b+1}Ready == 0) { xTexelC${b+1} = getX(batch, xR, xCOffset, d1); if (xCOffset + 1 >= inDims[1]) { xTexelC${b+1}.zw = vec2(0.); } xTexelC${b+1}Ready = 1; } xC${b} = vec4( xTexelC${b}.xy, xTexelC${b+1}.xy); `,b+1= 0) { // Use custom imod instead mod. On Intel GPU, mod may generate // unexpected value. // https://github.com/tensorflow/tfjs/issues/5447 offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1]; d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) / inChannels); if(d1 < inputShape[${a}] && d1 >= 0) { ch = imod(pos, inChannels); if (${r}) { innerDims = vec2(d1, ch); result[${u*2+d}] = getChannel( getA(rc.x, d0, int(innerDims.x), int(innerDims.y)), innerDims); } else { innerDims = vec2(d0, d1); result[${u*2+d}] = getChannel( getA(rc.x, ch, int(innerDims.x), int(innerDims.y)), innerDims); } } } } `;this.userCode=` void main() { ivec3 rc = getOutputCoords(); vec4 result = vec4(0); int blockIndex, pos, offsetY, d0, offsetX, d1, ch; vec2 innerDims; ${l} ${o.output} = result; } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Vl(n,t){const e=n.length;return e>=3?t?[...n.slice(0,-3),n[e-3]*n[e-2],n[e-1]]:[...n.slice(0,-3),n[e-3],n[e-2]*n[e-1]]:!t&&e===1&&n[0]>1?[n[0],1]:null}function tC({x:n,filter:t,convInfo:e,backend:s,bias:o=null,preluActivationWeights:r=null,leakyreluAlpha:i=0,activation:a=null}){const c=n.shape,l=s.texData.get(n.dataId),u=e.inChannels,d=c[0]*c[1]*c[2],h=e.outChannels,p=e.dataFormat==="channelsLast",f=!1,m=!1;let g;const b=[];if(r!=null){const y=Vl(r.shape,p);y!=null&&(r=tt({inputs:{x:r},backend:s,attrs:{shape:y}}),b.push(r))}if(o!=null){const y=Vl(o.shape,p);y!=null&&(o=tt({inputs:{x:o},backend:s,attrs:{shape:y}}),b.push(o))}if(!((d===1||h===1)&&u>P1)&&l.isPacked&&p&&l.texture!=null&&c[2]%2!==0&&Rt(l.shape.slice(-3),c.slice(-3))){const y=c[0]*c[1]*(c[2]+1),I={dataId:n.dataId,shape:[1,y,e.inChannels],dtype:n.dtype},w=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,S(Tl(l.shape,I.shape),()=>`packed reshape ${l.shape} to ${I.shape} isn't free`);const k=tt({inputs:{x:t},backend:s,attrs:{shape:[1,e.inChannels,e.outChannels]}});b.push(k);const v=Wl({a:I,b:k,backend:s,transposeA:f,transposeB:m,bias:o,activation:a,preluActivationWeights:r,leakyreluAlpha:i}),T=s.texData.get(v.dataId);S(T.isPacked,()=>"batchMatMul result is expected to be packed"),l.shape=w,T.shape=e.outShape,g=Je({inputs:{x:v},backend:s}),g.shape=e.outShape,b.push(v)}else{const y=e.outHeight*e.outWidth,I=tt({inputs:{x:n},backend:s,attrs:{shape:p?[e.batchSize,y,e.inChannels]:[e.batchSize,e.inChannels,y]}}),w=tt({inputs:{x:t},backend:s,attrs:{shape:[1,e.inChannels,e.outChannels]}}),k=Wl({a:p?I:w,b:p?w:I,transposeA:!p,transposeB:m,backend:s,bias:o,activation:a,preluActivationWeights:r,leakyreluAlpha:i});g=tt({inputs:{x:k},backend:s,attrs:{shape:e.outShape}}),b.push(I),b.push(w),b.push(k)}for(const y of b)s.disposeIntermediateTensorInfo(y);return g}function eC({x:n,filter:t,convInfo:e,backend:s,bias:o=null,preluActivationWeights:r=null,leakyreluAlpha:i=0,activation:a=null}){const{filterWidth:c,filterHeight:l,inChannels:u,outWidth:d,outHeight:h,dataFormat:p}=e,f=p==="channelsLast",m=c*l*u,g=h*d,b=[e.batchSize,m,g],x=!0,C=!1,y=[];if(r!=null){const O=Vl(r.shape,f);O!=null&&(r=tt({inputs:{x:r},backend:s,attrs:{shape:O}}),y.push(r))}if(o!=null){const O=Vl(o.shape,f);O!=null&&(o=tt({inputs:{x:o},backend:s,attrs:{shape:O}}),y.push(o))}const I=tt({inputs:{x:t},backend:s,attrs:{shape:[1,m,A(t.shape)/m]}});y.push(I);const w=new xD(b,e),k=[n.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],v=s.runWebGLProgram(w,[n],"float32",k),T=tt({inputs:{x:v},backend:s,attrs:{shape:b}});y.push(v),y.push(T);const R=o!=null,W=r!=null,E=a==="leakyrelu",K=a?ca(a,!0):null,Z=new E1(f?T.shape:I.shape,f?I.shape:T.shape,f?[e.batchSize,g,e.outChannels]:[e.batchSize,e.outChannels,g],x,C,R,K,W,E),F=f?[T,I]:[I,T];if(o&&F.push(o),W&&F.push(r),E){const O=s.makeTensorInfo([],"float32",gs(i,"float32"));F.push(O),y.push(O)}const D=s.runWebGLProgram(Z,F,"float32"),H=tt({inputs:{x:D},backend:s,attrs:{shape:e.outShape}});y.push(D);for(const O of y)s.disposeIntermediateTensorInfo(O);return H}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function yD(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,filter:r}=t,{strides:i,pad:a,dataFormat:c,dilations:l,dimRoundingMode:u}=s,d=os(c),h=Ce(o.shape,r.shape,i,l,a,u,!1,d);let p;if(h.filterHeight===1&&h.filterWidth===1&&h.dilationHeight===1&&h.dilationWidth===1&&h.strideHeight===1&&h.strideWidth===1&&(h.padInfo.type==="SAME"||h.padInfo.type==="VALID"))p=tC({x:o,filter:r,convInfo:h,backend:e});else if(h.strideWidth<=2&&d==="channelsLast"&&V().getBool("WEBGL_EXP_CONV")){const m=new q1(h),g=[[h.padInfo.top,h.padInfo.left],[h.strideHeight,h.strideWidth],[h.dilationHeight,h.dilationWidth],[h.inHeight,h.inWidth]];p=e.runWebGLProgram(m,[o,r],"float32",g)}else if(V().getBool("WEBGL_CONV_IM2COL"))p=eC({x:o,filter:r,convInfo:h,backend:e});else{const m=new j1(h);p=e.runWebGLProgram(m,[o,r],"float32")}const f=tt({inputs:{x:p},backend:e,attrs:{shape:h.outShape}});return e.disposeIntermediateTensorInfo(p),f}const CD={kernelName:Ga,backendName:"webgl",kernelFunc:yD};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ID{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;const e=t.strideHeight,s=t.strideWidth,o=t.padInfo.top,r=t.padInfo.left,i=t.dataFormat==="channelsLast";this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; int wC = coords.y; int d1 = coords.z; int d2 = coords.w; // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2). // ? = to be determined. : = across all values in that axis. float dotProd = 0.0; for (int b = 0; b < ${t.batchSize}; b++) { for (int yR = 0; yR < ${t.outHeight}; yR++) { int xR = wR + yR * ${e} - ${o}; if (xR < 0 || xR >= ${t.inHeight}) { continue; } for (int yC = 0; yC < ${t.outWidth}; yC++) { int xC = wC + yC * ${s} - ${r}; if (xC < 0 || xC >= ${t.inWidth}) { continue; } ${i?`float dyValue = getDy(b, yR, yC, d2); float xValue = getX(b, xR, xC, d1); dotProd += (xValue * dyValue);`:`float dyValue = getDy(b, d2, yR, yC); float xValue = getX(b, d1, xR, xC); dotProd += (xValue * dyValue);`} } } } setOutput(dotProd); } `}}class wD{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;const e=t.filterHeight,s=t.filterWidth,o=t.strideHeight,r=t.strideWidth,i=t.dataFormat==="channelsLast",a=e-1-t.padInfo.top,c=s-1-t.padInfo.left,l=i?1:2,u=i?2:3,d=i?3:1;this.userCode=` const ivec2 pads = ivec2(${a}, ${c}); void main() { ivec4 coords = getOutputCoords(); int batch = coords[0]; int d1 = coords[${d}]; ivec2 dyCorner = ivec2(coords[${l}], coords[${u}]) - pads; int dyRCorner = dyCorner.x; int dyCCorner = dyCorner.y; // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1). // ? = to be determined. : = across all values in that axis. float dotProd = 0.0; for (int wR = 0; wR < ${e}; wR++) { float dyR = float(dyRCorner + wR) / ${o}.0; if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) { continue; } int idyR = int(dyR); int wRPerm = ${e} - 1 - wR; for (int wC = 0; wC < ${s}; wC++) { float dyC = float(dyCCorner + wC) / ${r}.0; if (dyC < 0.0 || dyC >= ${t.outWidth}.0 || fract(dyC) > 0.0) { continue; } int idyC = int(dyC); int wCPerm = ${s} - 1 - wC; for (int d2 = 0; d2 < ${t.outChannels}; d2++) { if (${i}) { float xValue = getDy(batch, idyR, idyC, d2); float wValue = getW(wRPerm, wCPerm, d1, d2); dotProd += xValue * wValue; } else { float xValue = getDy(batch, d2, idyR, idyC); float wValue = getW(wRPerm, wCPerm, d1, d2); dotProd += xValue * wValue; } } } } setOutput(dotProd); } `}}class SD{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;const e=t.strideDepth,s=t.strideHeight,o=t.strideWidth,r=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode=` void main() { ivec5 coords = getOutputCoords(); int wF = coords.x; int wR = coords.y; int wC = coords.z; int d1 = coords.w; int d2 = coords.u; float dotProd = 0.0; for (int b = 0; b < ${t.batchSize}; b++) { for (int yF = 0; yF < ${t.outDepth}; yF++) { int xF = wF + yF * ${e} - ${r}; if (xF < 0 || xF >= ${t.inDepth}) { continue; } for (int yR = 0; yR < ${t.outHeight}; yR++) { int xR = wR + yR * ${s} - ${i}; if (xR < 0 || xR >= ${t.inHeight}) { continue; } for (int yC = 0; yC < ${t.outWidth}; yC++) { int xC = wC + yC * ${o} - ${a}; if (xC < 0 || xC >= ${t.inWidth}) { continue; } float dyValue = getDy(b, yF, yR, yC, d2); float xValue = getX(b, xF, xR, xC, d1); dotProd += (xValue * dyValue); } } } } setOutput(dotProd); } `}}class vD{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;const e=t.filterDepth,s=t.filterHeight,o=t.filterWidth,r=t.strideDepth,i=t.strideHeight,a=t.strideWidth,c=e-1-t.padInfo.front,l=s-1-t.padInfo.top,u=o-1-t.padInfo.left;this.userCode=` const ivec3 pads = ivec3(${c}, ${l}, ${u}); void main() { ivec5 coords = getOutputCoords(); int batch = coords.x; int d1 = coords.u; ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads; int dyFCorner = dyCorner.x; int dyRCorner = dyCorner.y; int dyCCorner = dyCorner.z; float dotProd = 0.0; for (int wF = 0; wF < ${e}; wF++) { float dyF = float(dyFCorner + wF) / ${r}.0; if (dyF < 0.0 || dyF >= ${t.outDepth}.0 || fract(dyF) > 0.0) { continue; } int idyF = int(dyF); int wFPerm = ${e} - 1 - wF; for (int wR = 0; wR < ${s}; wR++) { float dyR = float(dyRCorner + wR) / ${i}.0; if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) { continue; } int idyR = int(dyR); int wRPerm = ${s} - 1 - wR; for (int wC = 0; wC < ${o}; wC++) { float dyC = float(dyCCorner + wC) / ${a}.0; if (dyC < 0.0 || dyC >= ${t.outWidth}.0 || fract(dyC) > 0.0) { continue; } int idyC = int(dyC); int wCPerm = ${o} - 1 - wC; for (int d2 = 0; d2 < ${t.outChannels}; d2++) { float xValue = getDy(batch, idyF, idyR, idyC, d2); float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2); dotProd += xValue * wValue; } } } } setOutput(dotProd); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function kD(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,dy:r}=t,{strides:i,pad:a,dataFormat:c,dimRoundingMode:l,filterShape:u}=s,d=os(c),h=Ce(o.shape,u,i,1,a,l,!1,d),p=new ID(h);return e.runWebGLProgram(p,[o,r],"float32")}const TD={kernelName:hu,backendName:"webgl",kernelFunc:kD};/** * @license * Copyright 2023 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ND{constructor(t){this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=t.inShape,this.enableShapeUniforms=Le(this.outputShape.length);const e=t.filterHeight,s=t.filterWidth,o=e-1-t.padInfo.top,r=s-1-t.padInfo.left;this.userCode=` const ivec2 pads = ivec2(${o}, ${r}); void main() { ivec4 coords = getOutputCoords(); int batch = coords[0]; int d1 = coords[3]; ivec2 dyCorner = ivec2(coords[1], coords[2]) - pads; int dyRCorner = dyCorner.x; int dyCCorner = dyCorner.y; vec4 result = vec4(0.); for (int wR = 0; wR < ${e}; wR++) { float dyR = float(dyRCorner + wR) / strides[0]; if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) { continue; } int idyR = int(dyR); int wRPerm = ${e} - 1 - wR; for (int wC = 0; wC < ${s}; wC++) { int wCPerm = ${s} - 1 - wC; float dyC = float(dyCCorner + wC) / strides[1]; bool idyCVal = (dyC >= 0.0) && (dyC < ${t.outWidth}.0) && (fract(dyC) == 0.0); int idyC = int(dyC); float dyC2 = float(dyCCorner + wC + 1) / strides[1]; bool idyCVal2 = (dyC2 >= 0.0) && (dyC2 < ${t.outWidth}.0) && (fract(dyC2) == 0.0); int idyC2 = int(dyC2); if (idyCVal && idyCVal2) { for (int d2 = 0; d2 < ${t.outChannels}; d2 += 2) { vec4 wValue = getW(wRPerm, wCPerm, d1, d2); vec4 dySample = getDy(batch, idyR, idyC, d2); vec4 dySample2 = (idyC / 2 == idyC2 / 2) ? dySample : getDy(batch, idyR, idyC2, d2); vec2 dyValue = mod(float(idyC), 2.) == 0. ? dySample.xy : dySample.zw; result.xy += vec2(dot(dyValue, wValue.xy), dot(dyValue, wValue.zw)); dyValue = mod(float(idyC2), 2.) == 0. ? dySample2.xy : dySample2.zw; result.zw += vec2(dot(dyValue, wValue.xy), dot(dyValue, wValue.zw)); } } else if (idyCVal) { for (int d2 = 0; d2 < ${t.outChannels}; d2 += 2) { vec4 wValue = getW(wRPerm, wCPerm, d1, d2); vec4 dySample = getDy(batch, idyR, idyC, d2); vec2 dyValue = mod(float(idyC), 2.) == 0. ? dySample.xy : dySample.zw; result.xy += vec2(dot(dyValue, wValue.xy), dot(dyValue, wValue.zw)); } } else if (idyCVal2) { for (int d2 = 0; d2 < ${t.outChannels}; d2 += 2) { vec4 wValue = getW(wRPerm, wCPerm, d1, d2); vec4 dySample = getDy(batch, idyR, idyC2, d2); vec2 dyValue = mod(float(idyC2), 2.) == 0. ? dySample.xy : dySample.zw; result.zw += vec2(dot(dyValue, wValue.xy), dot(dyValue, wValue.zw)); } } } } setOutput(result); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function RD(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,filter:r}=t,{inputShape:i,strides:a,pad:c,dataFormat:l,dimRoundingMode:u}=s,d=os(l),h=Ce(i,r.shape,a,1,c,u,!1,d);if(V().getBool("WEBGL_PACK_CONV2DTRANSPOSE")&&d==="channelsLast"){const p=[[h.strideHeight,h.strideWidth]],f=new ND(h);return e.runWebGLProgram(f,[o,r],"float32",p)}else{const p=new wD(h);return e.runWebGLProgram(p,[o,r],"float32")}}const GD={kernelName:La,backendName:"webgl",kernelFunc:RD};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function LD(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,filter:r}=t,{strides:i,pad:a,dilations:c}=s,l=ws(o.shape,r.shape,i,c,a),u=new bD(l);return e.runWebGLProgram(u,[o,r],"float32")}const $D={kernelName:$a,backendName:"webgl",kernelFunc:LD};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function WD(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,dy:r}=t,{strides:i,pad:a,filterShape:c}=s,l=ws(o.shape,c,i,1,a),u=new SD(l);return e.runWebGLProgram(u,[o,r],"float32")}const XD={kernelName:pu,backendName:"webgl",kernelFunc:WD};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function MD(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,filter:r}=t,{pad:i,strides:a,inputShape:c}=s,l=ws(c,r.shape,a,1,i),u=new vD(l);return e.runWebGLProgram(u,[o,r],"float32")}const zD={kernelName:fu,backendName:"webgl",kernelFunc:MD};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const VD=br+` return cos(x); `,ED=` vec4 result = cos(x); bvec4 isNaN = isnan(x); ${Ro} return result; `,KD=Tt({opSnippet:VD,packedOpSnippet:ED}),ZD={kernelName:Mr,backendName:"webgl",kernelFunc:KD};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const FD=Tt({opSnippet:` float e2x = exp(-x); return (e2x + 1.0 / e2x) / 2.0; `}),DD={kernelName:zr,backendName:"webgl",kernelFunc:FD};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class PD{constructor(t,e,s,o,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];const[i,a,c,l]=t,[u]=e,[d,h]=s;this.outputShape=[u,d,h,l];const p=o==="bilinear"?1:0,[f,m]=[`${a-1}.0`,`${c-1}.0`],[g,b,x]=d>1?[`${(a-1)/(d-1)}`,"(y2-y1) * height_ratio",`y1*${f} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${f}`],[C,y,I]=h>1?[`${(c-1)/(h-1)}`,"(x2-x1) * width_ratio",`x1*${m} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${m}`];this.userCode=` const float height_ratio = float(${g}); const float width_ratio = float(${C}); void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int y = coords[1]; int x = coords[2]; int d = coords[3]; // get box vals float y1 = getBoxes(b,0); float x1 = getBoxes(b,1); float y2 = getBoxes(b,2); float x2 = getBoxes(b,3); // get image in batch index int bInd = round(getBoxInd(b)); if(bInd < 0 || bInd >= ${i}) { return; } float height_scale = ${b}; float width_scale = ${y}; float in_y = ${x}; if( in_y < 0.0 || in_y > ${f} ) { setOutput(float(${r})); return; } float in_x = ${I}; if( in_x < 0.0 || in_x > ${m} ) { setOutput(float(${r})); return; } vec2 sourceFracIndexCR = vec2(in_x,in_y); if(${p} == 1) { // Compute the four integer indices. ivec2 sourceFloorCR = ivec2(sourceFracIndexCR); ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR)); float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d); float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d); float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d); float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d); vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR); float top = topLeft + (topRight - topLeft) * fracCR.x; float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x; float newValue = top + (bottom - top) * fracCR.y; setOutput(newValue); } else { // Compute the coordinators of nearest neighbor point. ivec2 sourceNearestCR = ivec2(floor( sourceFracIndexCR + vec2(0.5,0.5))); float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d); setOutput(newValue); } } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const OD={kernelName:gu,backendName:"webgl",kernelFunc:n=>{const{inputs:t,backend:e,attrs:s}=n,{image:o,boxes:r,boxInd:i}=t,{cropSize:a,method:c,extrapolationValue:l}=s,u=new PD(o.shape,r.shape,a,c,l);return e.runWebGLProgram(u,[o,r,i],"float32")}};var ha;(function(n){n.Prod="*",n.Sum="+"})(ha||(ha={}));class nC{constructor(t,e,s,o){this.op=t,this.outputShape=e,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];const r=this.outputShape.length,i=this.op===ha.Prod?"1.0":"0.0",a=s?i:`getX(${sC(r,"coords",this.op)})`,c=this.outputShape[this.outputShape.length-1];let l="",u="";s?(l=o?`end != ${c-1}`:"end != 0",u=o?"end + 1":"end - 1"):(l=o?`end + pow2 < ${c}`:"end >= pow2",u=o?"end + pow2":"end - pow2"),this.userCode=` void main() { ${Mt(r)} coords = getOutputCoords(); int end = ${oC(r,"coords",this.op)}; float val = ${a}; int pow2 = int(pow(2.0, index)); if (${l}) { int idx = ${u}; ${oC(r,"coords",this.op)} = idx; val ${this.op}= getX(${sC(r,"coords",this.op)}); } setOutput(val); } `}}function sC(n,t,e){if(n===1)return`${t}`;if(n===2)return`${t}.x, ${t}.y`;if(n===3)return`${t}.x, ${t}.y, ${t}.z`;if(n===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${e} for rank ${n} is not yet supported`)}function oC(n,t,e){if(n===1)return`${t}`;if(n===2)return`${t}.y`;if(n===3)return`${t}.z`;if(n===4)return`${t}.w`;throw new Error(`Cumulative ${e} for rank ${n} is not yet supported`)}/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function rC(n,t,e,s,o,r){const i=t.shape.length,a=Yt([s],i);let c=t;a!=null&&(c=Ve({inputs:{x:t},backend:e,attrs:{perm:a}}));const l=ee(1,i)[0];if(l!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${s}`);const u=c.shape[l];let d=Je({inputs:{x:c},backend:e});for(let h=0;h<=Math.ceil(Math.log2(u))-1;h++){const p=new nC(n,c.shape,!1,r),f=[[h]],m=d;d=e.runWebGLProgram(p,[d],d.dtype,f),e.disposeIntermediateTensorInfo(m)}if(o){const h=new nC(n,c.shape,o,r),p=d;d=e.runWebGLProgram(h,[d],d.dtype),e.disposeIntermediateTensorInfo(p)}if(a!=null){const h=Ss(a),p=Ve({inputs:{x:d},backend:e,attrs:{perm:h}});return e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(c),p}return d}/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function AD(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r,exclusive:i,reverse:a}=s;return rC(ha.Prod,o,e,r,i,a)}const HD={kernelName:mu,backendName:"webgl",kernelFunc:AD};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function BD(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r,exclusive:i,reverse:a}=s;return rC(ha.Sum,o,e,r,i,a)}const UD={kernelName:Wa,backendName:"webgl",kernelFunc:BD};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _D(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,weights:r}=t,{size:i,binaryOutput:a}=s;if(o.shape.length===1){const c=e.readSync(o.dataId),l=e.readSync(r.dataId),u=v1(c,l,r.dtype,r.shape,i);return e.makeTensorInfo([i],r.dtype,u)}else if(o.shape.length===2){const c=e.bufferSync(o),l=e.bufferSync(r),u=sK(c,l,i,a);return e.makeTensorInfo(u.shape,r.dtype,u.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}const YD={kernelName:bu,backendName:"webgl",kernelFunc:_D};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class QD{constructor(t,e,s){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=s,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int h = ${this.getHeightCoordString()}; int w = ${this.getWidthCoordString()}; int d = ${this.getDepthCoordString()}; int in_h = h / ${e}; int offset_h = imod(h, ${e}); int in_w = w / ${e}; int offset_w = imod(w, ${e}); int offset_d = (offset_h * ${e} + offset_w) * ${this.getOutputDepthSize()}; int in_d = d + offset_d; float result = ${this.getInputSamplingString()}; setOutput(result); } `}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function JD(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{blockSize:r,dataFormat:i}=s,a=o.shape[0],c=i==="NHWC"?o.shape[1]:o.shape[2],l=i==="NHWC"?o.shape[2]:o.shape[3],u=i==="NHWC"?o.shape[3]:o.shape[1],d=c*r,h=l*r,p=u/(r*r),f=i==="NHWC"?[a,d,h,p]:[a,p,d,h],m=new QD(f,r,i);return e.runWebGLProgram(m,[o],o.dtype)}const jD={kernelName:xu,backendName:"webgl",kernelFunc:JD};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class iC{constructor(t,e=!1,s=null,o=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=Le(this.outputShape.length);const i=t.filterHeight,a=t.filterWidth,c=t.outChannels/t.inChannels;let l="",u="";s&&(o?l=`float activation(float a) { float b = getPreluActivationWeightsAtOutCoords(); ${s} }`:r?l=`float activation(float a) { float b = getLeakyreluAlphaAtOutCoords(); ${s} }`:l=` float activation(float x) { ${s} } `,u="result = activation(result);");const d=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=` ${l} void main() { ivec4 coords = getOutputCoords(); int batch = coords.x; ivec2 xRCCorner = coords.yz * strides - pads; int d2 = coords.w; int d1 = d2 / ${c}; int q = d2 - d1 * ${c}; int xRCorner = xRCCorner.x; int xCCorner = xRCCorner.y; // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2). // ? = to be determined. : = across all values in that axis. float dotProd = 0.0; // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations. for (int wR = 0; wR < ${i}; wR++) { int xR = xRCorner + wR * dilations[0]; if (xR < 0 || xR >= inDims[0]) { continue; } for (int wC = 0; wC < ${a}; wC++) { int xC = xCCorner + wC * dilations[1]; if (xC < 0 || xC >= inDims[1]) { continue; } float xVal = getX(batch, xR, xC, d1); float wVal = getW(wR, wC, d1, q); dotProd += xVal * wVal; } } float result = dotProd; ${d} ${u} setOutput(result); } `}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class aC{constructor(t,e=!1,s=null,o=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=Le(this.outputShape.length);const i=t.outChannels/t.inChannels,a=t.padInfo.left,c=t.strideWidth,l=t.dilationWidth,u=t.filterHeight,d=t.filterWidth,h=d;let p=` int xR; int xC; int xCOffset; vec4 wTexel; vec4 previous; vec4 final;`;for(let b=0;b=0 && xR < inDims[0]) { `;for(let b=0;b<(h+1)/2;b++){const x=b*2;if(p+=` xC = xCCorner + ${x*l}; `,c===1){if(x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) { xTexelC${x} = getX(batch, xR, xCOffset, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xCOffset + 1 >= inDims[1]) { xTexelC${x}.zw = vec2(0.0); } xTexelC${x}Ready = 1; } `,l===1&&x>0?p+=` xC${x} = vec4(xTexelC${x-2}.zw, xTexelC${x}.xy); `:p+=` xCOffset = xC + 1 - 2; if (xCOffset >= 0 && xCOffset < inDims[1]) { previous = getX(batch, xR, xCOffset, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xCOffset + 1 >= inDims[1]) { previous.zw = vec2(0.0); } xC${x} = vec4(previous.zw, xTexelC${x}.xy); } else { xC${x} = vec4(0.0, 0.0, xTexelC${x}.xy); } `):p+=` if (xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) { xTexelC${x} = getX(batch, xR, xC, d1); if (xC + 1 >= inDims[1]) { xTexelC${x}.zw = vec2(0.0); } xTexelC${x}Ready = 1; } xC${x} = xTexelC${x}; `,x+1= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) { xTexelC${x+1} = getX(batch, xR, xCOffset, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xCOffset + 1 >= inDims[1]) { xTexelC${x+1}.zw = vec2(0.0); } xTexelC${x+1}Ready = 1; } `,l>1?p+=` xCOffset -= 2; if (xCOffset >= 0 && xCOffset < inDims[1]) { previous = getX(batch, xR, xCOffset, d1); xC${x+1} = vec4(previous.zw, xTexelC${x+1}.xy); } else { xC${x+1} = vec4(0.0, 0.0, xTexelC${x+1}.xy); } `:p+=` xC${x+1} = vec4(xTexelC${x}.zw, xTexelC${x+1}.xy); `):C===1?p+=` xC${x+1} = xTexelC${x}; `:p+=` xCOffset = xC + ${C}; if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) { xTexelC${x+1} = getX(batch, xR, xCOffset, d1); if (xCOffset + 1 >= inDims[1]) { xTexelC${x+1}.zw = vec2(0.0); } xTexelC${x+1}Ready = 1; } xC${x+1} = xTexelC${x+1}; `}}else x= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) { xTexelC${x} = getX(batch, xR, xCOffset, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xCOffset + 1 >= inDims[1]) { xTexelC${x}.zw = vec2(0.0); } xTexelC${x}Ready = 1; } if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${x+1}Ready == 0) { xTexelC${x+1} = getX(batch, xR, xC + 1, d1); // Need to manually clear unused channels in case // we're reading from recycled texture. if (xC + 2 >= inDims[1]) { xTexelC${x+1}.zw = vec2(0.0); } xTexelC${x+1}Ready = 1; } xC${x} = vec4(xTexelC${x}.zw, xTexelC${x+1}.zw); `,x+1= 0 && xCOffset < inDims[1]) { final = getX(batch, xR, xCOffset, d1); } xC${x+1} = vec4(xTexelC${x+1}.xy, final.xy); `)):(p+=` if(xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) { xTexelC${x} = getX(batch, xR, xC, d1); if (xC + 1 >= inDims[1]) { xTexelC${x}.zw = vec2(0.0); } xTexelC${x}Ready = 1; } xCOffset = xC + strides[1]; if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) { xTexelC${x+1} = getX(batch, xR, xCOffset, d1); if (xCOffset + 1 >= inDims[1]) { xTexelC${x+1}.zw = vec2(0.); } xTexelC${x+1}Ready = 1; } xC${x} = vec4( xTexelC${x}.xy, xTexelC${x+1}.xy); `,x+1`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);const d=Ce(o.shape,r.shape,i,u,a,l,!0);let h;V().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels===1?h=new aC(d):h=new iC(d);const p=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];return e.runWebGLProgram(h,[o,r],"float32",p)}const tP={kernelName:Xa,backendName:"webgl",kernelFunc:qD};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class eP{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;const e=t.strideHeight,s=t.strideWidth,o=t.padInfo.top,r=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int wR = coords.x; int wC = coords.y; int d1 = coords.z; int dm = coords.w; int d2 = d1 * ${i} + dm; float dotProd = 0.0; // TO DO: Vec4 over the batch size for (int b = 0; b < ${t.batchSize}; b++) { for (int yR = 0; yR < ${t.outHeight}; yR++) { int xR = wR + yR * ${e} - ${o}; if (xR < 0 || xR >= ${t.inHeight}) { continue; } for (int yC = 0; yC < ${t.outWidth}; yC++) { int xC = wC + yC * ${s} - ${r}; if (xC < 0 || xC >= ${t.inWidth}) { continue; } float dyValue = getDy(b, yR, yC, d2); float xValue = getX(b, xR, xC, d1); dotProd += (xValue * dyValue); } } } setOutput(dotProd); } `}}class nP{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;const e=t.filterHeight,s=t.filterWidth,o=t.strideHeight,r=t.strideWidth,i=e-1-t.padInfo.top,a=s-1-t.padInfo.left,c=t.outChannels/t.inChannels;this.userCode=` const ivec2 pads = ivec2(${i}, ${a}); void main() { ivec4 coords = getOutputCoords(); int batch = coords[0]; int d1 = coords[3]; ivec2 dyCorner = coords.yz - pads; int dyRCorner = dyCorner.x; int dyCCorner = dyCorner.y; float dotProd = 0.0; for (int wR = 0; wR < ${e}; wR++) { float dyR = float(dyRCorner + wR) / ${o}.0; if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) { continue; } int idyR = int(dyR); int wRPerm = ${e} - 1 - wR; for (int wC = 0; wC < ${s}; wC++) { float dyC = float(dyCCorner + wC) / ${r}.0; if (dyC < 0.0 || dyC >= ${t.outWidth}.0 || fract(dyC) > 0.0) { continue; } int idyC = int(dyC); int wCPerm = ${s} - 1 - wC; // TO DO: Vec4 over the channelMul for (int dm = 0; dm < ${c}; dm++) { int d2 = d1 * ${c} + dm; float xValue = getDy(batch, idyR, idyC, d2); float wValue = getW(wRPerm, wCPerm, d1, dm); dotProd += xValue * wValue; } } } setOutput(dotProd); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function sP(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,dy:r}=t,{strides:i,dilations:a,pad:c,dimRoundingMode:l,filterShape:u}=s,d=Ce(o.shape,u,i,a,c,l,!0),h=new eP(d);return e.runWebGLProgram(h,[o,r],"float32")}const oP={kernelName:yu,backendName:"webgl",kernelFunc:sP};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function rP(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,filter:r}=t,{strides:i,dilations:a,pad:c,dimRoundingMode:l,inputShape:u}=s,d=Ce(u,r.shape,i,a,c,l,!0),h=new nP(d);return e.runWebGLProgram(h,[o,r],"float32")}const iP={kernelName:Cu,backendName:"webgl",kernelFunc:rP};/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class aP{constructor(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode=` void main() { ivec2 coords = getOutputCoords(); float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0; setOutput(val); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function cP(n){const{inputs:t,backend:e}=n,{x:s}=t,o=[...s.shape,...s.shape],r=A(s.shape),i=tt({inputs:{x:s},backend:e,attrs:{shape:[r]}}),a=new aP(r),c=e.runWebGLProgram(a,[i],i.dtype),l=tt({inputs:{x:c},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(c),l}const lP={kernelName:xf,backendName:"webgl",kernelFunc:cP};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class uP{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;const{inHeight:e,inWidth:s,padInfo:o,strideHeight:r,strideWidth:i,filterHeight:a,filterWidth:c,dilationHeight:l,dilationWidth:u}=t,{top:d,left:h}=o;this.userCode=` const ivec2 strides = ivec2(${r}, ${i}); const ivec2 pads = ivec2(${d}, ${h}); const float neg_infinity = -3.4e38; void main() { ivec4 coords = getOutputCoords(); int batch = coords.x; int d1 = coords.w; ivec2 outTopLeftCorner = coords.yz * strides - pads; int hBeg = outTopLeftCorner.x; int wBeg = outTopLeftCorner.y; float curVal = neg_infinity; for (int h = 0; h < ${a}; h++) { int hIn = hBeg + h * ${l}; if (hIn >= 0 && hIn < ${e}) { for (int w = 0; w < ${c}; w++) { int wIn = wBeg + w * ${u}; if (wIn >= 0 && wIn < ${s}) { float xVal = getX(batch, hIn, wIn, d1); float wVal = getW(h, w, d1); float val = xVal + wVal; if (val > curVal) { curVal = val; } } } } } float result = curVal; setOutput(result); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function dP(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,filter:r}=t,{strides:i,pad:a,dilations:c}=s,l=ki(o.shape,r.shape,i,a,"NHWC",c);let u;const d=new uP(l);u=e.runWebGLProgram(d,[o,r],"float32");const h=tt({inputs:{x:u},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(u),h}const hP={kernelName:Ma,backendName:"webgl",kernelFunc:dP};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function pP(n){const{inputs:t,backend:e,attrs:s}=n,{equation:o}=s,r=t,{allDims:i,summedDims:a,idDims:c}=bh(o,r.length);yh(i.length,c,r);const{path:l,steps:u}=Ch(a,c),d=u.length;let h=null,p=i.length;const f=[];for(let m=0;m=0&&(h=$l({inputs:{x:h},backend:e,attrs:{axis:l[m]-(i.length-p),keepDims:!1}}),f.push(h)),p--)}for(const m of f)m!==h&&e.disposeIntermediateTensorInfo(m);return h}const fP={kernelName:Su,backendName:"webgl",kernelFunc:pP};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const mP=Tt({opSnippet:"return (x >= 0.0) ? x : (exp(x) - 1.0);",packedOpSnippet:` vec4 result; result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0); result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0); result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0); result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0); return result; `}),gP={kernelName:Er,backendName:"webgl",kernelFunc:mP};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const bP="return (b >= 0.0) ? a : a * (b + 1.0);",xP=` vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.))); return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0)))); `,yP={kernelName:vu,backendName:"webgl",kernelFunc:n=>{const{inputs:t,backend:e}=n,{dy:s,y:o}=t,r=V().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new gr(xP,s.shape,o.shape):new No(bP,s.shape,o.shape);return e.runWebGLProgram(r,[s,o],s.dtype)}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const CP=Se({opSnippet:"return float(a == b);",packedOpSnippet:` return vec4(equal(a, b)); `,dtype:"bool",cpuKernelImpl:cK}),IP={kernelName:za,backendName:"webgl",kernelFunc:CP};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const wP=` // Error function is calculated approximately with elementary function. // See "Handbook of Mathematical Functions with Formulas, // Graphs, and Mathematical Tables", Abramowitz and Stegun. float p = ${lh}; float a1 = ${uh}; float a2 = ${dh}; float a3 = ${hh}; float a4 = ${ph}; float a5 = ${fh}; float sign = sign(x); x = abs(x); float t = 1.0 / (1.0 + p * x); return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x)); `,SP=Tt({opSnippet:wP}),vP={kernelName:Kr,backendName:"webgl",kernelFunc:SP};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const kP=br+` return exp(x); `,cC=Tt({opSnippet:kP,packedOpSnippet:` vec4 result = exp(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; result.g = isNaN.g ? x.g : result.g; result.b = isNaN.b ? x.b : result.b; result.a = isNaN.a ? x.a : result.a; return result; `,cpuKernelImpl:lK,dtype:"float32"}),TP={kernelName:Zr,backendName:"webgl",kernelFunc:cC};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zp(n){const{inputs:t,attrs:e,backend:s}=n,{dim:o}=e,{input:r}=t,i=r.shape.length,a=r.shape.slice();let c=o;return o<0&&(S(-(i+1)<=o,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),c=i+o+1),a.splice(c,0,1),tt({inputs:{x:r},backend:s,attrs:{shape:a}})}const NP={kernelName:Va,backendName:"webgl",kernelFunc:zp};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const lC="return exp(x) - 1.0;",RP=Tt({opSnippet:lC,packedOpSnippet:lC,cpuKernelImpl:uK}),GP={kernelName:Fr,backendName:"webgl",kernelFunc:RP};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class uC{constructor(t,e,s){this.variableNames=["real","imag"];const o=e[1];this.outputShape=e;const r=s?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,i=s?`${o}.0`:"1.0";let a;if(t==="real")a="return real * expR - imag * expI;";else if(t==="imag")a="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${t}.`);this.userCode=` const float exponentMultiplier = ${r}; float unaryOpComplex(float real, float expR, float imag, float expI) { ${a} } float mulMatDFT(int batch, int index) { float indexRatio = float(index) / float(${o}); float exponentMultiplierTimesIndexRatio = exponentMultiplier * indexRatio; float result = 0.0; for (int i = 0; i < ${o}; i++) { // x = (-2|2 * PI / N) * index * i; float x = exponentMultiplierTimesIndexRatio * float(i); float expR = cos(x); float expI = sin(x); float real = getReal(batch, i); float imag = getImag(batch, i); result += unaryOpComplex(real, expR, imag, expI) / ${i}; } return result; } void main() { ivec2 coords = getOutputCoords(); setOutput(mulMatDFT(coords[0], coords[1])); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function dC(n,t,e){const s=e.texData.get(n.dataId),o=A(n.shape),r=n.shape[n.shape.length-1],i=o/r,a=tt({inputs:{x:n},backend:e,attrs:{shape:[i,r]}}),c=a.shape,l=new uC("real",c,t),u=new uC("imag",c,t),d=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:c},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:c}],h=e.runWebGLProgram(l,d,"float32"),p=e.runWebGLProgram(u,d,"float32"),f=Zs({inputs:{real:h,imag:p},backend:e});e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(p);const m=tt({inputs:{x:f},backend:e,attrs:{shape:n.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(f),m}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function LP(n){const{inputs:t,backend:e}=n,{input:s}=t;return dC(s,!1,e)}const $P={kernelName:ku,backendName:"webgl",kernelFunc:LP};/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class WP{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=t,this.userCode=` void main() { // Input can be obtained from uniform value. setOutput(value); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function pa(n){const{backend:t,attrs:e}=n,{shape:s,value:o}=e;let{dtype:r}=e;if(r=r||Eo(o),r==="string"){const i=qt(r,A(s));return i.fill(o),t.makeTensorInfo(s,r,i)}else{const i=new WP(s,o),a=[[o]];return t.runWebGLProgram(i,[],r,a)}}const XP={kernelName:Tu,backendName:"webgl",kernelFunc:pa};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class MP{constructor(t){this.variableNames=["Image"],this.outputShape=[];const e=t[2];this.outputShape=t,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int x = coords[2]; int coordX = ${e} - x - 1; float outputValue; if(coordX >= 0 && coordX < ${e}) { outputValue = getImage(coords[0], coords[1], coordX, coords[3]); } else { outputValue = getImage(coords[0], coords[1], coords[2], coords[3]); } setOutput(outputValue); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const zP={kernelName:Nu,backendName:"webgl",kernelFunc:({inputs:n,backend:t})=>{const{image:e}=n,s=t,o=new MP(e.shape);return s.runWebGLProgram(o,[e],e.dtype)}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const hC="return floor(x);",VP=Tt({opSnippet:hC,packedOpSnippet:hC,cpuKernelImpl:dK}),EP={kernelName:Dr,backendName:"webgl",kernelFunc:VP};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const KP=Se({opSnippet:` float s = sign(a) * sign(b); int ia = round(a); int ib = round(b); if (ib != 0) { // Windows (D3D) wants guaranteed non-zero int division at compile-time. return float(idiv(ia, ib, s)); } else { return NAN; } `,packedOpSnippet:` ivec4 ia = round(a); ivec4 ib = round(b); bvec4 cond = notEqual(ib, ivec4(0)); ivec4 result = ivec4(0); vec4 s = sign(a) * sign(b); // Windows (D3D) wants guaranteed non-zero int division at compile-time. if (cond[0]) { result[0] = idiv(ia[0], ib[0], s[0]); } if (cond[1]) { result[1] = idiv(ia[1], ib[1], s[1]); } if (cond[2]) { result[2] = idiv(ia[2], ib[2], s[2]); } if (cond[3]) { result[3] = idiv(ia[3], ib[3], s[3]); } return vec4(result); `,dtype:"int32"}),ZP={kernelName:Pr,backendName:"webgl",kernelFunc:KP};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class FP{constructor(t){this.variableNames=["A"];const e=Me(),[s,o]=t;this.outputShape=t,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; int texC = coords[1]; int depth = coords[2]; vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${o}.0, ${s}.0); vec4 values = ${e.texture2D}(A, uv); float value; if (depth == 0) { value = values.r; } else if (depth == 1) { value = values.g; } else if (depth == 2) { value = values.b; } else if (depth == 3) { value = values.a; } setOutput(floor(value * 255.0 + 0.5)); } `}}/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class DP{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;const e=Me(),[s,o]=t;this.outputShape=t,this.userCode=` void main() { ivec3 coords = getOutputCoords(); int texR = coords[0]; int texC = coords[1]; int depth = coords[2]; vec4 result = vec4(0.); for(int row=0; row<=1; row++) { for(int col=0; col<=1; col++) { texC = coords[1] + row; depth = coords[2] + col; vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${o}.0, ${s}.0); vec4 values = ${e.texture2D}(A, uv); float value; if (depth == 0) { value = values.r; } else if (depth == 1) { value = values.g; } else if (depth == 2) { value = values.b; } else if (depth == 3) { value = values.a; } result[row * 2 + col] = floor(value * 255.0 + 0.5); } } ${e.output} = result; } `}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const PP={kernelName:Bu,backendName:"webgl",kernelFunc:OP};let yr,Vp=V().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function OP(n){const{inputs:t,backend:e,attrs:s}=n;let{pixels:o}=t;const{numChannels:r}=s,i=typeof HTMLVideoElement<"u"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement<"u"&&o instanceof HTMLImageElement,[c,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],u=[l,c],d=[l,c,r];if(a||i){const m=V().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(yr==null||m!==Vp)&&(Vp=m,yr=document.createElement("canvas").getContext("2d",{willReadFrequently:Vp})),yr.canvas.width=c,yr.canvas.height=l,yr.drawImage(o,0,0,c,l),o=yr.canvas}const h=e.makeTensorInfo(u,"int32");e.texData.get(h.dataId).usage=an.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(h.dataId),o);const p=V().getBool("WEBGL_PACK")?new DP(d):new FP(d),f=e.runWebGLProgram(p,[h],"int32");return e.disposeData(h.dataId),f}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function AP(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,filter:r,bias:i,preluActivationWeights:a}=t,{strides:c,pad:l,dataFormat:u,dilations:d,dimRoundingMode:h,activation:p,leakyreluAlpha:f}=s,m=os(u),g=Ce(o.shape,r.shape,c,d,l,h,!1,m);let b;const x=[],C=i!=null,y=a!=null,I=p==="leakyrelu",w=()=>{const v=[o,r],T=(R,W)=>{if(W==="NCHW"&&R.shape.length===1&&R.shape[0]!==1){const E=tt({inputs:{x:R},backend:e,attrs:{shape:[R.shape[0],1,1]}});return x.push(E),E}return R};if(C&&v.push(T(i,u)),y&&v.push(T(a,u)),I){const R=e.makeTensorInfo([],"float32",gs(f,"float32"));v.push(R),x.push(R)}return v};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))b=tC({x:o,filter:r,convInfo:g,backend:e,bias:i,activation:p,preluActivationWeights:a,leakyreluAlpha:f});else if(g.strideWidth<=2&&m==="channelsLast"&&V().getBool("WEBGL_EXP_CONV")){const v=p?ca(p,!0):null,T=new q1(g,C,v,y,I),R=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],W=w();b=e.runWebGLProgram(T,W,"float32",R)}else if(V().getBool("WEBGL_CONV_IM2COL"))b=eC({x:o,filter:r,convInfo:g,backend:e,bias:i,activation:p,preluActivationWeights:a,leakyreluAlpha:f});else{const v=p?ca(p,!1):null,T=new j1(g,C,v,y,I),R=w();b=e.runWebGLProgram(T,R,"float32")}const k=tt({inputs:{x:b},backend:e,attrs:{shape:g.outShape}});return x.push(b),x.forEach(v=>e.disposeIntermediateTensorInfo(v)),k}const HP={kernelName:Ic,backendName:"webgl",kernelFunc:AP};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function BP(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,filter:r,bias:i,preluActivationWeights:a}=t,{strides:c,pad:l,dilations:u,dimRoundingMode:d,activation:h,leakyreluAlpha:p}=s,f=[];let m=u;m==null&&(m=[1,1]),S(Ne(c,m),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${c} and dilations '${m}'`);const g=Ce(o.shape,r.shape,c,m,l,d,!0),b=V().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,x=h?ca(h,b):null,C=[o,r],y=i!=null,I=a!=null,w=h==="leakyrelu";if(y&&C.push(i),I&&C.push(a),w){const R=e.makeTensorInfo([],"float32",gs(p,"float32"));C.push(R),f.push(R)}let k;b?k=new aC(g,y,x,I,w):k=new iC(g,y,x,I,w);const v=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],T=e.runWebGLProgram(k,C,"float32",v);return f.forEach(R=>e.disposeIntermediateTensorInfo(R)),T}const UP={kernelName:Ef,backendName:"webgl",kernelFunc:BP};class _P{constructor(t,e,s,o){this.sliceDim=t,this.strides=e,this.paramsShape=o,this.variableNames=["x","indices"],this.outputShape=s;const r=Mt(s.length);let i=` int index;`;for(let a=0;a= ${this.paramsShape[a]}; flattenIndex += index * ${this.strides[a]};`;this.userCode=` void main() { ${r} coords = getOutputCoords(); int flattenIndex = 0; bool out_of_bounds = false; ${i} setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1])); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function YP(n){const{inputs:t,backend:e}=n,{params:s,indices:o}=t,r=o.shape,i=r[r.length-1],a=A(s.shape),[c,l,u,d]=eh(s,o),h=tt({inputs:{x:o},backend:e,attrs:{shape:[l,i]}}),p=tt({inputs:{x:s},backend:e,attrs:{shape:[A(s.shape)/u,u]}});if(e.shouldExecuteOnCPU([s,o])||s.dtype==="string"){const b=e.readSync(o.dataId),x=e.bufferSync(s),C=hK(b,x,s.dtype,l,i,u,d,s.shape,a);return e.makeTensorInfo(c,s.dtype,C.values)}const f=new _P(i,d,[l,u],s.shape),m=e.runWebGLProgram(f,[p,h],p.dtype),g=tt({inputs:{x:m},backend:e,attrs:{shape:c}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),g}const QP={kernelName:yf,backendName:"webgl",kernelFunc:YP};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class JP{constructor(t,e){this.variableNames=["A","indices"],this.outputShape=e,this.rank=e.length;const s=Mt(this.rank),o=jP(t);this.userCode=` void main() { ${s} resRC = getOutputCoords(); int index = int(getIndices(resRC.x, resRC.z)); float inBounds = (index >= 0) && (index < ${t[2]}) ? 1.0 : 0.0; setOutput(inBounds * getA(${o})); } `}}function jP(n,t){const e=["resRC.x","resRC.y","resRC.z","resRC.w"],s=[];for(let o=0;o=0,()=>`GatherV2: the index value ${I} is not in [0, ${C-1}]`)}}const l=Qg(o,r,c,a),u=A(r.shape),d=[],h=tt({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),p=tt({inputs:{x:r},backend:e,attrs:{shape:[l.batchSize,u/l.batchSize]}});d.push(h),d.push(p);const f=[l.batchSize,l.outerSize,u/l.batchSize,l.sliceSize];if(e.shouldExecuteOnCPU([o,r])||o.dtype==="string"){const x=e.bufferSync(p),C=e.bufferSync(h),y=pK(C,x,f);return d.forEach(I=>e.disposeIntermediateTensorInfo(I)),e.makeTensorInfo(l.outputShape,y.dtype,y.values)}const m=new JP(h.shape,f),g=e.runWebGLProgram(m,[h,p],h.dtype);d.push(g);const b=tt({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return d.forEach(x=>e.disposeIntermediateTensorInfo(x)),b}const qP={kernelName:Ka,backendName:"webgl",kernelFunc:pC};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const tO=Se({opSnippet:"return float(a > b);",packedOpSnippet:` return vec4(greaterThan(a, b)); `,cpuKernelImpl:fK,dtype:"bool"}),eO={kernelName:Za,backendName:"webgl",kernelFunc:tO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const nO=Se({opSnippet:"return float(a >= b);",packedOpSnippet:` return vec4(greaterThanEqual(a, b)); `,dtype:"bool",cpuKernelImpl:mK}),sO={kernelName:Or,backendName:"webgl",kernelFunc:nO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function oO(n){const{inputs:t,backend:e}=n,{input:s}=t;return dC(s,!0,e)}const rO={kernelName:Ru,backendName:"webgl",kernelFunc:oO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const iO=Tt({opSnippet:"return float(!isnan(x) && !isinf(x));",dtype:"bool"}),aO={kernelName:Hr,backendName:"webgl",kernelFunc:iO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const cO=Tt({opSnippet:"return float(isinf(x));",dtype:"bool"}),lO={kernelName:Br,backendName:"webgl",kernelFunc:cO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const uO=Tt({opSnippet:"return float(isnan(x));",dtype:"bool"}),dO={kernelName:Ur,backendName:"webgl",kernelFunc:uO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const hO=Se({opSnippet:"return float(a < b);",packedOpSnippet:` return vec4(lessThan(a, b)); `,cpuKernelImpl:gK,dtype:"bool"}),pO={kernelName:Da,backendName:"webgl",kernelFunc:hO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const fO=Se({opSnippet:"return float(a <= b);",packedOpSnippet:` return vec4(lessThanEqual(a, b)); `,cpuKernelImpl:bK,dtype:"bool"}),mO={kernelName:Pa,backendName:"webgl",kernelFunc:fO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function gO(n){const{backend:t,attrs:e}=n,{start:s,stop:o,num:r}=e,i=xK(s,o,r);return t.makeTensorInfo([i.length],"float32",i)}const bO={kernelName:Cf,backendName:"webgl",kernelFunc:gO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const xO=br+` return x < 0.0 ? 0./0. : log(x); `,yO=Tt({opSnippet:xO,packedOpSnippet:` vec4 result = log(x); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r); result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g); result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b); result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a); return result; `,cpuKernelImpl:yK}),CO={kernelName:_r,backendName:"webgl",kernelFunc:yO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const IO=br+` return log(1.0 + x); `,wO=Tt({opSnippet:IO}),SO={kernelName:Yr,backendName:"webgl",kernelFunc:wO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const vO=Se({opSnippet:"return float(a >= 1.0 && b >= 1.0);",packedOpSnippet:` return vec4( vec4(greaterThanEqual(a, vec4(1.0))) * vec4(greaterThanEqual(b, vec4(1.0)))); `,dtype:"bool"}),kO={kernelName:Oa,backendName:"webgl",kernelFunc:vO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const TO=Tt({opSnippet:"return float(!(x >= 1.0));"}),NO={kernelName:Aa,backendName:"webgl",kernelFunc:TO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const RO=Se({opSnippet:"return float(a >= 1.0 || b >= 1.0);",packedOpSnippet:` return min( vec4(greaterThanEqual(a, vec4(1.0))) + vec4(greaterThanEqual(b, vec4(1.0))), vec4(1.0)); `,dtype:"bool"}),GO={kernelName:Ha,backendName:"webgl",kernelFunc:RO};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class LO{constructor(t,e,s,o,r){this.variableNames=["x"],this.outputShape=[];const i=e,a=t[3]-1;this.outputShape=t;let c;const l=`float(${s}) + float(${o}) * sum`;r===.5?c=`inversesqrt(${l})`:r===1?c=`1.0/(${l})`:c=`exp(log(${l}) * float(-${r}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int r = coords[1]; int c = coords[2]; int d = coords[3]; float x = getX(b, r, c, d); float sum = 0.0; for (int j = -${i}; j <= ${i}; j++) { int idx = d + j; if (idx >= 0 && idx <= ${a}) { float z = getX(b, r, c, idx); sum += z * z; } } float val = x * ${c}; setOutput(val); } `}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class $O{constructor(t,e,s,o,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;const i=e,a=t[3]-1;this.outputShape=t;let c;const l=`float(${s}) + float(${o}) * sum`;r===.5?c=`inversesqrt(${l})`:r===1?c=`1.0/(${l})`:c=`exp(log(${l}) * float(-${r}));`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords.x; int r = coords.y; int c = coords.z; int d = coords.w; bool hasNextCol = d < ${this.outputShape[3]}; bool hasNextRow = c < ${this.outputShape[2]}; vec4 sum = vec4(0.); vec4 xFragAtOutputCoords = getX(b, r, c, d); vec4 xAtOutputCoords = vec4( getChannel(xFragAtOutputCoords, vec2(c, d)), hasNextCol ? getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0, hasNextRow ? getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0, (hasNextRow && hasNextCol) ? getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0 ); int firstChannel = d - ${i}; vec2 cache = vec2(0.); if(firstChannel >= 0){ vec4 firstChannelFrag = getX(b, r, c, firstChannel); cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel)); if(hasNextRow){ cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel)); } } ivec2 depth = ivec2(d, d + 1); for (int j = - ${i}; j <= ${i}; j++) { ivec2 idx = depth + j; bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0)); bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${a})); bool depthInRange = aboveLowerBound.x && belowUpperBound.x; bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y; if(depthInRange || depthPlusOneInRange){ vec4 z = vec4(0.); vec4 xFragAtCurrentDepth; z.xz = cache.xy; if(depthPlusOneInRange && hasNextCol){ xFragAtCurrentDepth = idx.y != d ? getX(b, r, c, idx.y) : xFragAtOutputCoords; z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y)); if(hasNextRow){ z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y)); } } cache.xy = z.yw; sum += z * z; } } vec4 result = xAtOutputCoords * ${c}; setOutput(result); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const WO={kernelName:Ba,backendName:"webgl",kernelFunc:n=>{const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{depthRadius:r,bias:i,alpha:a,beta:c}=s,l=V().getBool("WEBGL_PACK_NORMALIZATION")?new $O(o.shape,r,i,a,c):new LO(o.shape,r,i,a,c);return e.runWebGLProgram(l,[o],o.dtype)}};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class XO{constructor(t,e,s,o,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=s,this.alpha=o,this.beta=r,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int r = coords[1]; int c = coords[2]; float result = 0.0; for (int d = 0; d < ${this.depth}; ++d) { int depthBegin = int(max(0.0, float(d - ${e}))); int depthEnd = int(min(float(${this.depth}), float(d + ${e} + 1))); const int MIN_DEPTH_BEGIN = 0; const int MAX_DEPTH_END = ${this.depth}; float norm = 0.0; for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) { if (k < depthBegin){ continue; } else if (k >= depthBegin && k < depthEnd) { norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k); } else { break; } } norm = float(${o}) * norm + float(${s}); for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){ if (k < depthBegin){ continue; } else if (k >= depthBegin && k < depthEnd){ float dyi = -2.0 * float(${o}) * float(${r}) * getInputImage(b, r, c, k) * getOutputImage(b, r, c, d) / norm; if (k == d) { dyi += pow(norm, -1.0 * ${r}); } if (k == coords[3]) { dyi *= getDy(b, r, c, d); result += dyi; } } else { break; } } } setOutput(result); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const MO={kernelName:Lu,backendName:"webgl",kernelFunc:n=>{const{inputs:t,backend:e,attrs:s}=n,{x:o,y:r,dy:i}=t,{depthRadius:a,bias:c,alpha:l,beta:u}=s,d=new XO(o.shape,a,c,l,u);return e.runWebGLProgram(d,[o,r,i],o.dtype)}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function zO(n,t,e,s){const o=A(t),i=A(n.shape)/o,a=tt({inputs:{x:n},attrs:{shape:[i,o]},backend:s}),c=Go(a,n.dtype,"max",s),l=tt({inputs:{x:c},attrs:{shape:e},backend:s});return s.disposeIntermediateTensorInfo(a),s.disposeIntermediateTensorInfo(c),l}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function fC(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{reductionIndices:r,keepDims:i}=s,a=o.shape.length,c=Ct(r,o.shape);let l=c;const u=Yt(l,a),d=u!=null,h=e.shouldExecuteOnCPU([o]);let p=o;if(d){if(h){const C=e.texData.get(p.dataId).values,y=new Array(a);for(let k=0;k`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);const u=pn(o.shape,r,i,l,a,c);if(u.filterWidth===1&&u.filterHeight===1&&Rt(u.inShape,u.outShape))return Je({inputs:{x:o},backend:e});const d=new la(u,"max",!1);return e.runWebGLProgram(d,[o],o.dtype)}const PO={kernelName:_a,backendName:"webgl",kernelFunc:DO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function OO(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{filterSize:r,strides:i,pad:a,dataFormat:c,dimRoundingMode:l}=s,u=[1,1,1],d=ss(o.shape,r,i,u,a,l,c),h=new Wp(d,"max",!1);return e.runWebGLProgram(h,[o],o.dtype)}const AO={kernelName:Ya,backendName:"webgl",kernelFunc:OO};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class HO{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;const e=t.strideHeight,s=t.strideWidth,o=t.dilationHeight,r=t.effectiveFilterHeight,i=t.effectiveFilterWidth,a=r-1-t.padInfo.top,c=i-1-t.padInfo.left,l=r*i-1;this.userCode=` const ivec2 pads = ivec2(${a}, ${c}); void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int d = coords[3]; ivec2 dyRCCorner = coords.yz - pads; int dyRCorner = dyRCCorner.x; int dyCCorner = dyRCCorner.y; // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d). // ? = to be determined. : = across all values in that axis. float dotProd = 0.0; for (int wR = 0; wR < ${r}; wR += ${o}) { float dyR = float(dyRCorner + wR) / ${e}.0; if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) { continue; } int idyR = int(dyR); for (int wC = 0; wC < ${i}; wC++) { float dyC = float(dyCCorner + wC) / ${s}.0; if (dyC < 0.0 || dyC >= ${t.outWidth}.0 || fract(dyC) > 0.0) { continue; } int idyC = int(dyC); float dyValue = getDy(b, idyR, idyC, d); int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d)); // Get the current value, check it against the value from the // position matrix. int curPosValue = wR * ${i} + wC; float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0); dotProd += dyValue * mask; } } setOutput(dotProd); } `}}class BO{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;const e=t.strideDepth,s=t.strideHeight,o=t.strideWidth,r=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,c=t.effectiveFilterDepth,l=t.effectiveFilterHeight,u=t.effectiveFilterWidth,d=c-1-t.padInfo.front,h=l-1-t.padInfo.top,p=u-1-t.padInfo.left,f=c*l*u-1;this.userCode=` const ivec3 pads = ivec3(${d}, ${h}, ${p}); void main() { ivec5 coords = getOutputCoords(); int batch = coords.x; int ch = coords.u; ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads; int dyDCorner = dyCorner.x; int dyRCorner = dyCorner.y; int dyCCorner = dyCorner.z; // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get // dx(xD, xR, xC, ch). // ? = to be determined. : = across all values in that axis. float dotProd = 0.0; for (int wD = 0; wD < ${c}; wD += ${r}) { float dyD = float(dyDCorner + wD) / ${e}.0; if (dyD < 0.0 || dyD >= ${t.outDepth}.0 || fract(dyD) > 0.0) { continue; } int idyD = int(dyD); for (int wR = 0; wR < ${l}; wR += ${i}) { float dyR = float(dyRCorner + wR) / ${s}.0; if (dyR < 0.0 || dyR >= ${t.outHeight}.0 || fract(dyR) > 0.0) { continue; } int idyR = int(dyR); for (int wC = 0; wC < ${u}; wC += ${a}) { float dyC = float(dyCCorner + wC) / ${o}.0; if (dyC < 0.0 || dyC >= ${t.outWidth}.0 || fract(dyC) > 0.0) { continue; } int idyC = int(dyC); float dyValue = getDy(batch, idyD, idyR, idyC, ch); int maxPosValue = ${f} - int(getMaxPos(batch, idyD, idyR, idyC, ch)); // Get the current value, check it against the value from the // position matrix. int curPosValue = wD * ${l} * ${u} + wR * ${u} + wC; float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0); dotProd += dyValue * mask; } } } setOutput(dotProd); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function UO(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,input:r}=t,i=r,{filterSize:a,strides:c,pad:l,dimRoundingMode:u}=s,d=[1,1,1],h=ss(i.shape,a,c,d,l,u),p=new Wp(h,"max",!0),f=e.runWebGLProgram(p,[i],i.dtype),m=new BO(h),g=e.runWebGLProgram(m,[o,f],i.dtype);return e.disposeIntermediateTensorInfo(f),g}const _O={kernelName:Wu,backendName:"webgl",kernelFunc:UO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function YO(n){const{inputs:t,backend:e,attrs:s}=n,{dy:o,input:r,output:i}=t,a=r;ia([r,i],"maxPoolGrad");const{filterSize:c,strides:l,pad:u,dimRoundingMode:d}=s,h=pn(a.shape,c,l,1,u,d),p=!0,f=new la(h,"max",p),m=e.runWebGLProgram(f,[a],a.dtype),g=new HO(h),b=e.runWebGLProgram(g,[o,m],a.dtype);return e.disposeIntermediateTensorInfo(m),b}const QO={kernelName:$u,backendName:"webgl",kernelFunc:YO};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function JO(n,t,e,s){let o=new la(e,"max",!1);const r=s.runWebGLProgram(o,[n],"float32");o=new la(e,"max",!0,!0,t);const i=s.runWebGLProgram(o,[n],"float32");return[r,i]}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const jO={kernelName:If,backendName:"webgl",kernelFunc:({inputs:n,attrs:t,backend:e})=>{const{x:s}=n,{filterSize:o,strides:r,pad:i,includeBatchInIndex:a}=t,c=e;S(s.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${s.shape.length}.`);const l=[1,1];S(Ne(r,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${r} and dilations '${l}'`);const u=pn(s.shape,o,r,l,i),[d,h]=JO(s,a,u,c);return[d,h]}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function qO(n,t,e,s){const o=A(t),i=A(n.shape)/o,a=tt({inputs:{x:n},attrs:{shape:[i,o]},backend:s}),c=Go(a,"float32","mean",s),l=tt({inputs:{x:c},attrs:{shape:e},backend:s});return s.disposeIntermediateTensorInfo(a),s.disposeIntermediateTensorInfo(c),l}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const tA={kernelName:Qa,backendName:"webgl",kernelFunc:({inputs:n,attrs:t,backend:e})=>{const{x:s}=n,{keepDims:o,axis:r}=t,i=e,a=s.shape.length,c=Ct(r,s.shape);let l=c;const u=Yt(l,a),d=u!=null,h=i.shouldExecuteOnCPU([s]),p=[];let f=s;if(d){if(h){const y=i.texData.get(f.dataId).values,I=new Array(a);for(let v=0;vu[0]+t[d]+u[1]);const o=t.length,r=Mt(o),i=e.map(u=>u[0]).join(","),a=e.map((u,d)=>u[0]+t[d]).join(","),c=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o),l=s==="reflect"?0:1;if(o===1){this.userCode=` int start = ${i}; int end = ${a}; void main() { int outC = getOutputCoords(); if (outC < start) { outC = start * 2 - outC - ${l}; } else if(outC >= end) { outC = (end - 1) * 2 - outC + ${l}; } setOutput(getX(outC - start)); } `;return}this.userCode=` ${r} start = ${r}(${i}); ${r} end = ${r}(${a}); void main() { ${r} outC = getOutputCoords(); for (int i = 0; i < ${o}; i++) { if (outC[i] < start[i]) { outC[i] = start[i] * 2 - outC[i] - ${l}; } else if(outC[i] >= end[i]) { outC[i] = (end[i] - 1) * 2 - outC[i] + ${l}; } } ${r} coords = outC - start; setOutput(getX(${c})); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class cA{constructor(t,e,s){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((f,m)=>f[0]+t[m]+f[1]);const o=t.length,r=Mt(o),i=e.map(f=>f[0]).join(","),a=e.map((f,m)=>f[0]+t[m]).join(","),c=ze("rc",o),l=ze("source",o),u=`${c[o-1]} < ${this.outputShape[o-1]}`,d=o===1?"source":`vec2(${l.slice(-2).join()})`,h=s==="reflect"?0:1;let p="";if(o===1){const f=` ${r} source = rc; if (source < start) { source = start * 2 - source - ${h}; } else if (source >= end) { source = (end - 1) * 2 - source + ${h}; } source -= start; `;p=` ${r} rc = outputLoc; ${f} result[0] = getChannel(getX(${l.join()}), ${d}); ${c[o-1]} += 1; if(${u}) { ${f} result[1] = getChannel(getX(${l.join()}), ${d}); } `}else{const f=` ${r} source = rc; ${r} lt = ${r}(lessThan(source, start)); ${r} gte = ${r}(greaterThanEqual(source, end)); ${r} orig = 1 - (lt + gte); source = orig * source + lt * (start * 2 - source - ${h}) + gte * ((end - 1) * 2 - source + ${h}); source -= start; `;p=` ${r} rc = outputLoc; ${f} result[0] = getChannel(getX(${l.join()}), ${d}); ${c[o-1]} += 1; if(${u}) { ${f} result[1] = getChannel(getX(${l.join()}), ${d}); } rc = outputLoc; ${c[o-2]} += 1; if(${c[o-2]} < ${this.outputShape[o-2]}) { ${f} result[2] = getChannel(getX(${l.join()}), ${d}); ${c[o-1]} += 1; if(${u}) { ${f} result[3] = getChannel(getX(${l.join()}), ${d}); } } `}this.userCode=` const ${r} start = ${r}(${i}); const ${r} end = ${r}(${a}); void main() { ${r} outputLoc = getOutputCoords(); vec4 result = vec4(0.); ${p} setOutput(result); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const lA={kernelName:ja,backendName:"webgl",kernelFunc:({inputs:n,backend:t,attrs:e})=>{const{x:s}=n,{paddings:o,mode:r}=e,i=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new cA(s.shape,o,r):new aA(s.shape,o,r);return t.runWebGLProgram(i,[s],s.dtype)}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const uA=`if (b == 0.0) return NAN; return mod(a, b);`,dA=` vec4 result = mod(a, b); bvec4 isNaN = equal(b, vec4(0.0)); `+Ro+` return result; `,hA=Se({opSnippet:uA,packedOpSnippet:dA}),pA={kernelName:jr,backendName:"webgl",kernelFunc:hA};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class fA{constructor(t,e,s){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[t,s],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; float r = random(seed); float cdf = 0.0; for (int i = 0; i < ${e-1}; i++) { cdf += getProbs(batch, i); if (r < cdf) { setOutput(float(i)); return; } } // If no other event happened, last event happened. setOutput(float(${e-1})); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const mC=Se({opSnippet:` if (a == b) { return 1.0; }; return a / b;`,packedOpSnippet:` // vec4 one = vec4(equal(a, b)); // return one + (vec4(1.0) - one) * a / b; vec4 result = a / b; if(a.x == b.x) { result.x = 1.; } if(a.y == b.y) { result.y = 1.; } if(a.z == b.z) { result.z = 1.; } if(a.w == b.w) { result.w = 1.; } return result; `,checkOutOfBounds:!0}),mA={kernelName:Vr,backendName:"webgl",kernelFunc:mC};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const gC="return a - b;",bC=Se({opSnippet:gC,packedOpSnippet:gC,supportsComplex:!0,cpuKernelImpl:OK}),gA={kernelName:fi,backendName:"webgl",kernelFunc:bC};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function xC(n){const{inputs:t,backend:e,attrs:s}=n,{logits:o}=t,{dim:r}=s,i=Ct([r],o.shape),a=fC({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),c=re(a.shape,i),l=tt({inputs:{x:a},backend:e,attrs:{shape:c}}),u=bC({inputs:{a:o,b:l},backend:e}),d=cC({inputs:{x:u},backend:e}),h=$l({inputs:{x:d},backend:e,attrs:{axis:i,keepDims:!1}}),p=tt({inputs:{x:h},backend:e,attrs:{shape:c}}),f=mC({inputs:{a:d,b:p},backend:e});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(u),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(p),f}const bA={kernelName:gc,backendName:"webgl",kernelFunc:xC};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function xA(n){const{inputs:t,backend:e,attrs:s}=n,{logits:o}=t,{numSamples:r,seed:i,normalized:a}=s,c=a?o:xC({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=c.shape[0],u=c.shape[1],d=new fA(l,u,r),h=[[i]],p=e.runWebGLProgram(d,[c],"int32",h);return a||e.disposeIntermediateTensorInfo(c),p}const yA={kernelName:wf,backendName:"webgl",kernelFunc:xA};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const CA=wn+` return -x; `,IA=` vec4 result = -x; bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; result.g = isNaN.g ? x.g : result.g; result.b = isNaN.b ? x.b : result.b; result.a = isNaN.a ? x.a : result.a; return result; `;function wA(n){const{inputs:t,backend:e}=n,{x:s}=t;if(e.shouldExecuteOnCPU([s])){const r=e.texData.get(s.dataId),[i,a]=vK(r.values,s.shape,s.dtype);return e.makeTensorInfo(a,s.dtype,i)}let o;return V().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new Ks(s.shape,IA):o=new jn(s.shape,CA),e.runWebGLProgram(o,[s],s.dtype)}const SA={kernelName:qa,backendName:"webgl",kernelFunc:wA};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const vA=Yd;function kA(n){je("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{inputs:t,backend:e,attrs:s}=n,{boxes:o,scores:r}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:c}=s,l=e.readSync(o.dataId),u=e.readSync(r.dataId),{selectedIndices:d}=vA(l,u,i,a,c);return e.makeTensorInfo([d.length],"int32",new Int32Array(d))}const TA={kernelName:Xu,backendName:"webgl",kernelFunc:kA};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const NA=Qd;function RA(n){je("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{inputs:t,backend:e,attrs:s}=n,{boxes:o,scores:r}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:c,padToMaxOutputSize:l}=s,u=e.readSync(o.dataId),d=e.readSync(r.dataId),{selectedIndices:h,validOutputs:p}=NA(u,d,i,a,c,l);return[e.makeTensorInfo([h.length],"int32",new Int32Array(h)),e.makeTensorInfo([],"int32",new Int32Array([p]))]}const GA={kernelName:Mu,backendName:"webgl",kernelFunc:RA};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const LA=Jd;function $A(n){je("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{inputs:t,backend:e,attrs:s}=n,{boxes:o,scores:r}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:c,softNmsSigma:l}=s,u=e.readSync(o.dataId),d=e.readSync(r.dataId),h=i,p=a,f=c,m=l,{selectedIndices:g,selectedScores:b}=LA(u,d,h,p,f,m);return[e.makeTensorInfo([g.length],"int32",new Int32Array(g)),e.makeTensorInfo([b.length],"float32",new Float32Array(b))]}const WA={kernelName:zu,backendName:"webgl",kernelFunc:$A};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class XA{constructor(t,e,s,o){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode=` void main() { ivec2 coords = getOutputCoords(); int index = round(getIndices(coords.x)); setOutput(mix(float(${o}), float(${s}), float(index == coords.y))); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const MA={kernelName:nc,backendName:"webgl",kernelFunc:n=>{const{inputs:t,backend:e,attrs:s}=n,{indices:o}=t,{dtype:r,depth:i,onValue:a,offValue:c}=s,l=A(o.shape),u=new XA(l,i,a,c),d=tt({inputs:{x:o},backend:e,attrs:{shape:[l]}}),h=e.runWebGLProgram(u,[d],r);e.disposeIntermediateTensorInfo(d);const p=[...o.shape,i],f=tt({inputs:{x:h},backend:e,attrs:{shape:p}});return e.disposeIntermediateTensorInfo(h),f}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function El(n){const{inputs:t,backend:e}=n,{x:s}=t;if(s.dtype==="complex64"){const o=ua({inputs:{input:s},backend:e}),r=El({inputs:{x:o},backend:e}),i=zl({inputs:{input:s},backend:e}),a=El({inputs:{x:i},backend:e}),c=Zs({inputs:{real:r,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(r),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),c}else return pa({attrs:{shape:s.shape,dtype:s.dtype,value:s.dtype==="string"?"":0},backend:e})}const zA={kernelName:yc,backendName:"webgl",kernelFunc:El};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function yC(n){const{inputs:t,backend:e}=n,{x:s}=t;if(s.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(s.dtype==="complex64"){const o=ua({inputs:{input:s},backend:e}),r=yC({inputs:{x:o},backend:e}),i=zl({inputs:{input:s},backend:e}),a=El({inputs:{x:i},backend:e}),c=Zs({inputs:{real:r,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(r),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),c}else return pa({attrs:{shape:s.shape,dtype:s.dtype,value:1},backend:e})}const VA={kernelName:ec,backendName:"webgl",kernelFunc:yC};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function EA(n){const{inputs:t,backend:e,attrs:s}=n,{axis:o}=s;if(t.length===1)return zp({inputs:{input:t[0]},backend:e,attrs:{dim:o}});const r=t[0].shape,i=t[0].dtype;t.forEach(u=>{_l(r,u.shape,"All tensors passed to stack must have matching shapes"),S(i===u.dtype,()=>"All tensors passed to stack must have matching dtypes")});const a=[],c=t.map(u=>{const d=zp({inputs:{input:u},backend:e,attrs:{dim:o}});return a.push(d),d}),l=J1({inputs:c,backend:e,attrs:{axis:o}});return a.forEach(u=>e.disposeIntermediateTensorInfo(u)),l}const KA={kernelName:sc,backendName:"webgl",kernelFunc:EA};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ZA{constructor(t,e,s){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((l,u)=>l[0]+t[u]+l[1]);const o=t.length,r=Mt(o),i=e.map(l=>l[0]).join(","),a=e.map((l,u)=>l[0]+t[u]).join(","),c=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o);if(o===1){this.userCode=` int start = ${i}; int end = ${a}; void main() { int outC = getOutputCoords(); if (outC < start || outC >= end) { setOutput(value); } else { setOutput(getX(outC - start)); } } `;return}this.userCode=` ${r} start = ${r}(${i}); ${r} end = ${r}(${a}); void main() { ${r} outC = getOutputCoords(); if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) { setOutput(value); } else { ${r} coords = outC - start; setOutput(getX(${c})); } } `}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class FA{constructor(t,e,s){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((m,g)=>m[0]+t[g]+m[1]);const o=t.length,r=Mt(o),i=e.map(m=>m[0]).join(","),a=e.map((m,g)=>m[0]+t[g]).join(","),c=ze("rc",o),l=ze("source",o),u=`${c[o-1]} < ${this.outputShape[o-1]}`,d=o===1?"source":`vec2(${l.slice(-2).join()})`,h=[`${r} rc = outputLoc;`,`${c[o-1]} += 1; if(${u}) { `,o===1?"":`} rc = outputLoc; ${c[o-2]} += 1; if(${c[o-2]} < ${this.outputShape[o-2]}) {`,o===1?"":` ${c[o-1]} += 1; if(${u}) {`],p=o===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))";let f="";for(let m=0,g=o===1?2:4;m{const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{paddings:r,constantValue:i}=s;if(A(o.shape)===0){const l=r.map((u,d)=>u[0]+o.shape[d]+u[1]);return pa({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}const a=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new FA(o.shape,r,i):new ZA(o.shape,r,i),c=[[i]];return e.runWebGLProgram(a,[o],o.dtype,c)},DA={kernelName:oc,backendName:"webgl",kernelFunc:CC};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const PA=` if(a < 0.0 && floor(b) < b){ return NAN; } if (b == 0.0) { return 1.0; } return (round(mod(b, 2.0)) != 1) ? pow(abs(a), b) : sign(a) * pow(abs(a), b); `,OA=` // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise. vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1))); vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1); vec4 result = multiplier * pow(abs(a), b); // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS bvec4 isExpZero = equal(b, vec4(0.0)); result.r = isExpZero.r ? 1.0 : result.r; result.g = isExpZero.g ? 1.0 : result.g; result.b = isExpZero.b ? 1.0 : result.b; result.a = isExpZero.a ? 1.0 : result.a; bvec4 isNaN1 = lessThan(a, vec4(0.0)); bvec4 isNaN2 = lessThan(floor(b), b); bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w); `+Ro+` return result; `,AA=Se({opSnippet:PA,packedOpSnippet:OA}),HA={kernelName:ti,backendName:"webgl",kernelFunc:AA};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function BA(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{axis:r,keepDims:i}=s,a=o.shape.length,c=[],l=Ct(r,o.shape);let u=l;const d=Yt(u,a);let h=o;d!=null&&(h=Ve({inputs:{x:o},backend:e,attrs:{perm:d}}),u=ee(u.length,a),c.push(h)),Ie("prod",u,a);let p;if(e.shouldExecuteOnCPU([h])){const f=e.texData.get(h.dataId).values,{outVals:m,outShape:g,outDtype:b}=TK(h.shape,h.dtype,f,u);p=e.makeTensorInfo(g,b,m)}else{const[f,m]=ge(h.shape,u),g=A(m),b=tt({inputs:{x:h},backend:e,attrs:{shape:[-1,g]}}),x=od(o.dtype),C=Go(b,x,"prod",e);p=tt({inputs:{x:C},backend:e,attrs:{shape:f}}),c.push(b),c.push(C)}if(i){c.push(p);const f=re(p.shape,l);p=tt({inputs:{x:p},backend:e,attrs:{shape:f}})}return c.forEach(f=>e.disposeIntermediateTensorInfo(f)),p}const UA={kernelName:ic,backendName:"webgl",kernelFunc:BA};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function _A(n){const{inputs:t,backend:e,attrs:s}=n,{paramsNestedSplits:o,paramsDenseValues:r,indices:i}=t,{outputRaggedRank:a}=s,c=o.map(b=>e.readSync(b.dataId)),l=o.map(b=>b.shape),u=e.readSync(r.dataId),d=e.readSync(i.dataId),[h,p,f]=NK(c,l,u,r.shape,r.dtype,d,i.shape,a),m=h.map(b=>e.makeTensorInfo([b.length],"int32",b)),g=e.makeTensorInfo(f,r.dtype,p);return m.concat([g])}const YA={kernelName:Sf,backendName:"webgl",kernelFunc:_A};/** * @license * Copyright 2022 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function QA(n){const{inputs:t,backend:e}=n,{starts:s,limits:o,deltas:r}=t,i=e.readSync(s.dataId),a=e.readSync(o.dataId),c=e.readSync(r.dataId),[l,u]=RK(i,s.shape,s.dtype,a,o.shape,c,r.shape),d=e.makeTensorInfo([l.length],"int32",l),h=e.makeTensorInfo([u.length],s.dtype,u);return[d,h]}const JA={kernelName:vf,backendName:"webgl",kernelFunc:QA};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function jA(n){const{inputs:t,backend:e,attrs:s}=n,{shape:o,values:r,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:c}=s,l=e.readSync(o.dataId),u=e.readSync(r.dataId),d=e.readSync(i.dataId),h=a.map(g=>e.readSync(g.dataId)),p=a.map(g=>g.shape),[f,m]=GK(l,o.shape,u,r.shape,r.dtype,d,i.shape,h,p,c);return e.makeTensorInfo(f,r.dtype,m)}const qA={kernelName:kf,backendName:"webgl",kernelFunc:jA};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const IC=n=>{const{backend:t,attrs:e}=n,{start:s,stop:o,step:r,dtype:i}=e,a=LK(s,o,r,i);return t.makeTensorInfo([a.length],i,a)},tH={kernelName:Vu,backendName:"webgl",kernelFunc:IC};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const eH=Tt({opSnippet:"return 1.0 / x;"}),nH={kernelName:ei,backendName:"webgl",kernelFunc:eH};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const sH=wn+` return (x < 0.0) ? 0.0 : x; `,oH=Tt({opSnippet:sH,packedOpSnippet:` vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; result.g = isNaN.g ? x.g : result.g; result.b = isNaN.b ? x.b : result.b; result.a = isNaN.a ? x.a : result.a; return result; `}),rH={kernelName:ni,backendName:"webgl",kernelFunc:oH};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const iH=wn+` return (x < 0.0) ? 0.0 : min(6.0, x); `,aH=Tt({opSnippet:iH,packedOpSnippet:` vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0))); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; result.g = isNaN.g ? x.g : result.g; result.b = isNaN.b ? x.b : result.b; result.a = isNaN.a ? x.a : result.a; return result; `}),cH={kernelName:si,backendName:"webgl",kernelFunc:aH};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class lH{constructor(t,e,s,o,r){this.variableNames=["A"],this.outputShape=[];const[i,a,c,l]=t;this.outputShape=[i,e,s,l];const u=[o&&e>1?a-1:a,o&&s>1?c-1:c],d=[o&&e>1?e-1:e,o&&s>1?s-1:s];let h;r?h="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":h="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${u[0]/d[0]}, ${u[1]/d[1]}); const vec2 inputShapeRC = vec2(${a}.0, ${c}.0); void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int d = coords[3]; ivec2 yRC = coords.yz; // Fractional source index. vec2 sourceFracIndexRC = ${h}; // Compute the four integer indices. ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0))); ivec2 sourceCeilRC = ivec2( min(inputShapeRC - 1.0, ceil(sourceFracIndexRC))); float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d); float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d); float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d); float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d); vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC); float top = topLeft + (topRight - topLeft) * fracRC.y; float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y; float newValue = top + (bottom - top) * fracRC.x; setOutput(newValue); } `}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class uH{constructor(t,e,s,o,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];const[i,a,c,l]=t;this.outputShape=[i,e,s,l];const u=[o&&e>1?a-1:a,o&&s>1?c-1:c],d=[o&&e>1?e-1:e,o&&s>1?s-1:s];let h;r?h="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":h="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${u[0]/d[0]}, ${u[1]/d[1]}, ${u[1]/d[1]}); const vec3 inputShapeRC = vec3(${a}.0, ${c}.0, ${c}.0); float getAValue(int b, int r, int c, int d) { return getChannel(getA(b, r, c, d), vec2(c, d)); } void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int d = coords[3]; // Calculate values for next column in yRC.z. ivec3 yRC = coords.yzz + ivec3(0, 0, 1); // Fractional source index. vec3 sourceFracIndexRC = ${h}; // Compute the four integer indices. ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0))); ivec3 sourceCeilRC = ivec3( min(inputShapeRC - 1.0, ceil(sourceFracIndexRC))); // Should we calculate next column and row elements in 2x2 packed cell. bool hasNextCol = d < ${l-1}; bool hasNextRow = coords.z < ${s-1}; // In parallel, construct four corners for all four components in // packed 2x2 cell. vec4 topLeft = vec4( getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d), hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1) : 0.0, hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d) : 0.0, (hasNextRow && hasNextCol) ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0); vec4 bottomLeft = vec4( getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d), hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1) : 0.0, hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d) : 0.0, (hasNextRow && hasNextCol) ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0); vec4 topRight = vec4( getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d), hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1) : 0.0, hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d) : 0.0, (hasNextRow && hasNextCol) ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0); vec4 bottomRight = vec4( getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d), hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1) : 0.0, hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d) : 0.0, (hasNextRow && hasNextCol) ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0); vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC); vec4 top = mix(topLeft, topRight, fracRC.yyzz); vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz); vec4 newValue = mix(top, bottom, fracRC.x); setOutput(newValue); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function dH(n){const{inputs:t,backend:e,attrs:s}=n,{images:o}=t,{alignCorners:r,halfPixelCenters:i,size:a}=s,[c,l]=a,u=V().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new uH(o.shape,c,l,r,i):new lH(o.shape,c,l,r,i);return e.runWebGLProgram(u,[o],"float32")}const hH={kernelName:lc,backendName:"webgl",kernelFunc:dH};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class pH{constructor(t,e,s){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;const[,o,r]=e,[,i,a]=t,c=[s&&i>1?o-1:o,s&&a>1?r-1:r],l=[s&&i>1?i-1:i,s&&a>1?a-1:a],u=c[0]/l[0],d=c[1]/l[1],h=1/u,p=1/d,f=Math.ceil(h)*2+2,m=Math.ceil(p)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int d = coords[3]; int r = coords[1]; int c = coords[2]; float accumulator = 0.0; const float heightScale = float(${u}); const float widthScale = float(${d}); const float invHeightScale = float(${h}); const float invWidthScale = float(${p}); const int winHeight = int(${f}); const int winWidth = int(${m}); // Compute bounds for where in dy we will look float startRLerp = floor(float(r) * invHeightScale); int startDyR = int(startRLerp - float(winHeight / 2)); float startCLerp = floor(float(c) * invWidthScale); int startDyC = int(startCLerp - float(winWidth / 2)); // Loop over dy for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) { int dyR = dyROffset + startDyR; // Guard against the window exceeding the bounds of dy if (dyR < 0 || dyR >= ${i}) { continue; } for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) { int dyC = dyCOffset + startDyC; // Guard against the window exceeding the bounds of dy if (dyC < 0 || dyC >= ${a}) { continue; } float dxR = float(dyR) * heightScale; int topDxRIndex = int(floor(dxR)); int bottomDxRIndex = int(min(ceil(dxR), ${o-1}.0)); float dxRLerp = dxR - float(topDxRIndex); float inverseDxRLerp = 1.0 - dxRLerp; float dxC = float(dyC) * widthScale; int leftDxCIndex = int(floor(dxC)); int rightDxCIndex = int(min(ceil(dxC), ${r-1}.0)); float dxCLerp = dxC - float(leftDxCIndex); float inverseDxCLerp = 1.0 - dxCLerp; if (r == topDxRIndex && c == leftDxCIndex) { // topLeft accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp; } if (r == topDxRIndex && c == rightDxCIndex) { // topRight accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp; } if (r == bottomDxRIndex && c == leftDxCIndex) { // bottomLeft accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp; } if (r == bottomDxRIndex && c == rightDxCIndex) { // bottomRight accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp; } } } // End loop over dy setOutput(accumulator); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function fH(n){const{inputs:t,backend:e,attrs:s}=n,{images:o,dy:r}=t,{alignCorners:i}=s,a=new pH(r.shape,o.shape,i);return e.runWebGLProgram(a,[r],r.dtype)}const mH={kernelName:Zu,backendName:"webgl",kernelFunc:fH};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class gH{constructor(t,e,s,o,r){this.variableNames=["A"],this.outputShape=[];const[i,a,c,l]=t;this.outputShape=[i,e,s,l];const u=[o&&e>1?a-1:a,o&&s>1?c-1:c],d=[o&&e>1?e-1:e,o&&s>1?s-1:s],h=o?"0.5":"0.0";let p;r?p="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":p="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec2 effectiveInputOverOutputRatioRC = vec2( ${u[0]/d[0]}, ${u[1]/d[1]}); const vec2 inputShapeRC = vec2(${a}.0, ${c}.0); void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int d = coords[3]; ivec2 yRC = coords.yz; // Fractional source index. vec2 sourceFracIndexRC = ${p}; // Compute the coordinators of nearest neighbor point. ivec2 sourceNearestRC = ivec2( min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${h}))); float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d); setOutput(newValue); } `}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class bH{constructor(t,e,s,o,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];const[i,a,c,l]=t;this.outputShape=[i,e,s,l];const u=[o&&e>1?a-1:a,o&&s>1?c-1:c],d=[o&&e>1?e-1:e,o&&s>1?s-1:s],h=o?"0.5":"0.0";let p;r?p="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":p="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=` const vec3 effectiveInputOverOutputRatioRC = vec3( ${u[0]/d[0]}, ${u[1]/d[1]}, ${u[1]/d[1]}); const vec3 inputShapeRC = vec3(${a}.0, ${c}.0, ${c}.0); float getAValue(int b, int r, int c, int d) { return getChannel(getA(b, r, c, d), vec2(c, d)); } void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int d = coords[3]; // Calculate values for next column in yRC.z. ivec3 yRC = coords.yzz + ivec3(0, 0, 1); // Fractional source index. vec3 sourceFracIndexRC = ${p}; // Compute the coordinators of nearest neighbor point. ivec3 sourceNearestRC = ivec3( min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${h}))); // Should we calculate next column and row elements in 2x2 packed cell. bool hasNextCol = d < ${l-1}; bool hasNextRow = coords.z < ${s-1}; vec4 newValue = vec4( getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d), hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1) : 0.0, hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d) : 0.0, (hasNextRow && hasNextCol) ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0); setOutput(newValue); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function xH(n){const{inputs:t,backend:e,attrs:s}=n,{images:o}=t,{alignCorners:r,halfPixelCenters:i,size:a}=s,[c,l]=a,u=V().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new bH(o.shape,c,l,r,i):new gH(o.shape,c,l,r,i);return e.runWebGLProgram(u,[o],o.dtype)}const yH={kernelName:cc,backendName:"webgl",kernelFunc:xH};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class CH{constructor(t,e,s){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;const[,o,r]=e,[,i,a]=t,c=[s&&i>1?o-1:o,s&&a>1?r-1:r],l=[s&&i>1?i-1:i,s&&a>1?a-1:a],u=c[0]/l[0],d=c[1]/l[1],h=1/u,p=1/d,f=Math.ceil(h)*2+2,m=Math.ceil(p)*2+2;this.userCode=` void main() { ivec4 coords = getOutputCoords(); int b = coords[0]; int d = coords[3]; int r = coords[1]; int c = coords[2]; float accumulator = 0.0; const float heightScale = float(${u}); const float widthScale = float(${d}); const float invHeightScale = float(${h}); const float invWidthScale = float(${p}); const int winHeight = int(${f}); const int winWidth = int(${m}); // Compute bounds for where in dy we will look float startRLerp = floor(float(r) * invHeightScale); int startDyR = int(floor(startRLerp - float(winHeight / 2))); float startCLerp = floor(float(c) * invWidthScale); int startDyC = int(floor(startCLerp - float(winWidth / 2))); // Loop over dy for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) { int dyR = dyROffset + startDyR; // Guard against the window exceeding the bounds of dy if (dyR < 0 || dyR >= ${i}) { continue; } for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) { int dyC = dyCOffset + startDyC; // Guard against the window exceeding the bounds of dy if (dyC < 0 || dyC >= ${a}) { continue; } float sourceFracRow = float(${c[0]}) * (float(dyR) / float(${l[0]})); float sourceFracCol = float(${c[1]}) * (float(dyC) / float(${l[1]})); int sourceNearestRow = int(min( float(int(${o}) - 1), ${s} ? float(round(sourceFracRow)) : float(floor(sourceFracRow)))); int sourceNearestCol = int(min( float(int(${r}) - 1), ${s} ? float(round(sourceFracCol)) : float(floor(sourceFracCol)))); if (r == sourceNearestRow && c == sourceNearestCol) { accumulator += getDy(b, dyR, dyC, d); } } } // End loop over dy setOutput(accumulator); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function IH(n){const{inputs:t,backend:e,attrs:s}=n,{images:o,dy:r}=t,{alignCorners:i}=s,a=new CH(r.shape,o.shape,i);return e.runWebGLProgram(a,[r],r.dtype)}const wH={kernelName:Ku,backendName:"webgl",kernelFunc:IH};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class SH{constructor(t,e){this.variableNames=["x"];const s=t.length;if(s>4)throw new Error(`WebGL backend: Reverse of rank-${s} tensor is not yet supported`);if(this.outputShape=t,s===1){this.userCode=` void main() { int coord = getOutputCoords(); setOutput(getX(${t[0]} - coord - 1)); } `;return}const o=a=>e.indexOf(a)!==-1&&t[a]!==1?`${t[a]} - coords[${a}] - 1`:`coords[${a}]`,r=t.map((a,c)=>o(c)).join(","),i=Mt(s);this.userCode=` void main() { ${i} coords = getOutputCoords(); setOutput(getX(${r})); } `}}/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class vH{constructor(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;const s=t.length;if(s>4)throw new Error(`WebGL backend: Reverse of rank-${s} tensor is not yet supported`);this.outputShape=t;const o=ze("rc",s),r=`${o[s-1]} + 1 < ${this.outputShape[s-1]}`,i=`${o[s-2]} + 1 < ${this.outputShape[s-2]}`,a=Mt(s);s===1?this.userCode=` void main(){ int rc = getOutputCoords(); vec4 result = vec4(0.); result.r = getChannel(getX(${t[0]} - rc - 1), ${t[0]} - rc - 1); if(${r}){ result.g = getChannel(getX(${t[0]} - (rc + 1) - 1), ${t[0]} - (rc + 1) - 1); } setOutput(result); } `:this.userCode=` void main() { ${a} rc = getOutputCoords(); vec4 result = vec4(0.); result.r = ${c(o.slice())}; if(${r}){ result.g = ${l(o.slice())}; } if(${i}) { result.b = ${u(o.slice())}; if(${r}) { result.a = ${d(o.slice())}; } } setOutput(result); } `;function c(f){return h(f)}function l(f){return f[s-1]="("+f[s-1]+" + 1)",h(f)}function u(f){return f[s-2]="("+f[s-2]+" + 1)",h(f)}function d(f){return f[s-1]="("+f[s-1]+" + 1)",f[s-2]="("+f[s-2]+" + 1)",h(f)}function h(f){const m=t.map((x,C)=>p(C,f)),g=m.join(","),b=m.slice(-2).join(",");return`getChannel(getX(${g}), vec2(${b}))`}function p(f,m){return e.indexOf(f)!==-1&&t[f]!==1?`${t[f]} - ${m[f]} - 1`:`${m[f]}`}}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function kH(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{dims:r}=s,i=o.shape.length,a=Ct(r,o.shape);if(i===0)return Je({inputs:{x:o},backend:e});const c=V().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new vH(o.shape,a):new SH(o.shape,a);return e.runWebGLProgram(c,[o],o.dtype)}const TH={kernelName:uc,backendName:"webgl",kernelFunc:kH};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class NH{constructor(t,e){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];const s=t[1],o=t[2];this.outputShape=t;let r="";typeof e=="number"?r=`float outputValue = ${e.toFixed(2)};`:r=` vec3 fill = vec3(${e.join(",")}); float outputValue = fill[coords[3]];`,this.userCode=` void main() { ivec4 coords = getOutputCoords(); int x = coords[2]; int y = coords[1]; float coordXFloat = (float(x) - params[0]) * params[3] - (float(y) - params[1]) * params[2]; float coordYFloat = (float(x) - params[0]) * params[2] + (float(y) - params[1]) * params[3]; int coordX = int(round(coordXFloat + params[0])); int coordY = int(round(coordYFloat + params[1])); ${r} if(coordX >= 0 && coordX < ${o} && coordY >= 0 && coordY < ${s}) { outputValue = getImage(coords[0], coordY, coordX, coords[3]); } setOutput(outputValue); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const RH={kernelName:Uu,backendName:"webgl",kernelFunc:({inputs:n,attrs:t,backend:e})=>{const{image:s}=n,{radians:o,fillValue:r,center:i}=t,a=e,c=new NH(s.shape,r),[l,u]=ih(i,s.shape[1],s.shape[2]),d=[[l,u,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(c,[s],s.dtype,d)}};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const GH=Tt({opSnippet:` // OpenGL ES does not support round function. // The algorithm is based on banker's rounding. float base = floor(x); if ((x - base) < 0.5) { return floor(x); } else if ((x - base) > 0.5) { return ceil(x); } else { if (mod(base, 2.0) == 0.0) { return base; } else { return base + 1.0; } } `}),LH={kernelName:oi,backendName:"webgl",kernelFunc:GH};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const $H=Tt({opSnippet:"return inversesqrt(x);",cpuKernelImpl:$K}),WH={kernelName:ri,backendName:"webgl",kernelFunc:$H};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Ep{constructor(t,e,s,o,r,i,a=!0,c=!1){this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;const l=Mt(r.length),u=Mt(i.length);let d="";s===1?d="i":s===2&&(d="i, j");const h=`getIndices(${d})`;let p="";o===1?p="i":o===2&&(p="i, coords[1]");const f=`getUpdates(${p})`;let m="";c&&(m="coords[0], coords[1]");const g=`getDefaultValue(${m})`,b=e>1?"strides[j]":"strides";this.userCode=` ${l} strides = ${l}(${r}); void main() { ${u} coords = getOutputCoords(); float sum = 0.0; bool found = false; for (int i = 0; i < ${t}; i++) { int flattenedIndex = 0; for (int j = 0; j < ${e}; j++) { int index = round(${h}); flattenedIndex += index * ${b}; } if (flattenedIndex == coords[0]) { sum += ${f}; found = true; } } setOutput(mix(${g}, sum, float(found))); } `}}/** * @license * Copyright 2023 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class XH{constructor(t,e,s,o,r,i,a=!0,c=!1){this.variableNames=["updates","indices","defaultValue"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=i;const l=Mt(r.length),u=Mt(i.length);let d="";s===1?d="i":s===2&&(d="i, j");const h=`getIndices(${d})`;let p="";o===1?p="i":o===2&&(p="i, coords[1]");const f=`getUpdates(${p})`;let m="";c&&(m="coords[0], coords[1]");const g=`getDefaultValue(${m})`,b=e>1?"strides[j]":"strides",x=e>1?"strides[j + 1]":"strides";this.userCode=` ${l} strides = ${l}(${r}); void main() { ${u} coords = getOutputCoords(); vec4 sum = vec4(0.); vec4 found = vec4(0.); for (int i = 0; i < ${t}; i+=2) { ivec2 flattenedIndex = ivec2(0); for (int j = 0; j < ${e}; j+=2) { ivec4 index = round(${h}); flattenedIndex += index.xz * ${b}; if (j + 1 < ${e}) { flattenedIndex += index.yw * ${x}; } } if (flattenedIndex[0] == coords[0] || flattenedIndex[1] == coords[0] || flattenedIndex[0] == coords[0] + 1 || flattenedIndex[1] == coords[0] + 1) { vec4 updVals = ${f}; if (flattenedIndex[0] == coords[0]) { sum.xy += updVals.xy; found.xy = vec2(1.); } else if (flattenedIndex[0] == coords[0] + 1) { sum.zw += updVals.xy; found.zw = vec2(1.); } if (flattenedIndex[1] == coords[0]) { sum.xy += updVals.zw; found.xy = vec2(1.); } else if (flattenedIndex[1] == coords[0] + 1) { sum.zw += updVals.zw; found.zw = vec2(1.); } } } setOutput(mix(${g}, sum, found)); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function MH(n){const{inputs:t,backend:e,attrs:s}=n,{indices:o,updates:r}=t,{shape:i}=s,{sliceRank:a,numUpdates:c,sliceSize:l,strides:u,outputSize:d}=lo(r,o,i),h=[d/l,l];if(d===0)return e.makeTensorInfo(i,o.dtype);const p=tt({inputs:{x:o},backend:e,attrs:{shape:[c,a]}}),f=tt({inputs:{x:r},backend:e,attrs:{shape:[c,l]}}),m=e.makeTensorInfo([],"float32",new Float32Array([0]));let g;V().getBool("WEBGL_PACK")?g=new XH(c,a,p.shape.length,f.shape.length,u,h):g=new Ep(c,a,p.shape.length,f.shape.length,u,h);const b=e.runWebGLProgram(g,[f,p,m],f.dtype),x=tt({inputs:{x:b},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(b),e.disposeIntermediateTensorInfo(m),x}const zH={kernelName:Tf,backendName:"webgl",kernelFunc:MH};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class VH{constructor(t,e,s,o){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[t,s];const r="while (left < right) {",i=`for (int i = 0; i < ${Math.ceil(Math.log2(e+1))}; ++i) { if (left >= right) break;`,a=V().getNumber("WEBGL_VERSION")===2?r:i,c=o==="left"?"<":"<=";this.userCode=` int findBound(int batch, float value) { int left = 0; int right = numInputs; int mid; ${a} mid = (left + right) / 2; if (getSortedSequence(batch, mid) ${c} value) { left = mid + 1; } else { right = mid; } } return right; } void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; int valueIndex = coords[1]; float value = getValues(batch, valueIndex); setOutput(float(findBound(batch, value))); } `}}/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function EH(n){const{inputs:t,backend:e,attrs:s}=n,{sortedSequence:o,values:r}=t,{side:i}=s,a=new VH(o.shape[0],o.shape[1],r.shape[1],i),c=[[o.shape[1]]];return e.runWebGLProgram(a,[o,r],"int32",c)}const KH={kernelName:Rf,backendName:"webgl",kernelFunc:EH};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class ZH{constructor(t,e,s){this.variableNames=["c","a","b"],this.outputShape=e;let o,r;if(s>4)throw Error(`Where for rank ${s} is not yet supported`);if(s===1)r="resRC",o="resRC";else{const a=["resRC.x","resRC.y","resRC.z","resRC.w"],c=[],l=[];for(let u=0;u= 1.0) { setOutput(getA(${r})); } else { setOutput(getB(${r})); } } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function FH(n){const{inputs:t,backend:e}=n,{condition:s,t:o,e:r}=t,i=new ZH(s.shape.length,o.shape,o.shape.length);return e.runWebGLProgram(i,[s,o,r],Ue(o.dtype,r.dtype))}const DH={kernelName:dc,backendName:"webgl",kernelFunc:FH};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const PH=` // Stable and Attracting Fixed Point (0, 1) for Normalized Weights. // see: https://arxiv.org/abs/1706.02515 float scaleAlpha = ${Pc}; float scale = ${Oc}; return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0); `,OH=Tt({opSnippet:PH}),AH={kernelName:ii,backendName:"webgl",kernelFunc:OH};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const HH=br+` return 1.0 / (1.0 + exp(-1.0 * x)); `,BH=Tt({opSnippet:HH,packedOpSnippet:` vec4 result = 1.0 / (1.0 + exp(-1.0 * x)); bvec4 isNaN = isnan(x); result.r = isNaN.r ? x.r : result.r; result.g = isNaN.g ? x.g : result.g; result.b = isNaN.b ? x.b : result.b; result.a = isNaN.a ? x.a : result.a; return result; `,cpuKernelImpl:XK}),UH={kernelName:ui,backendName:"webgl",kernelFunc:BH};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const _H=Tt({opSnippet:` if (isnan(x)) { return 0.0; } return sign(x); `}),YH={kernelName:li,backendName:"webgl",kernelFunc:_H};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const QH=br+` return sin(x); `,JH=` vec4 result = sin(x); bvec4 isNaN = isnan(x); ${Ro} return result; `,jH=Tt({opSnippet:QH,packedOpSnippet:JH}),qH={kernelName:ai,backendName:"webgl",kernelFunc:jH};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const t9=Tt({opSnippet:` float e2x = exp(x); return (e2x - 1.0 / e2x) / 2.0; `}),e9={kernelName:ci,backendName:"webgl",kernelFunc:t9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const n9=Tt({opSnippet:` float epsilon = 1.1920928955078125e-7; float threshold = log(epsilon) + 2.0; bool too_large = x > -threshold; bool too_small = x < threshold; float result; float exp_x = exp(x); if (too_large){ result = x; } else if (too_small){ result = exp_x; } else{ result = log(exp_x + 1.0); } return result; `}),s9={kernelName:di,backendName:"webgl",kernelFunc:n9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const o9={kernelName:fc,backendName:"webgl",kernelFunc:n=>{const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{blockShape:r,paddings:i}=s;S(o.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");const a=r.reduce((b,x)=>b*x),c=[[0,0]];c.push(...i);for(let b=1+r.length;be.disposeIntermediateTensorInfo(b)),g}};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function r9(n){const{inputs:t,backend:e}=n,{indices:s,values:o,denseShape:r,defaultValue:i}=t;if(r.shape.length!==1)throw new Error(`Dense shape must be a vector, saw: ${r.shape}`);if(s.shape.length!==2)throw new Error(`Indices must be a matrix, saw: ${s.shape}`);if(o.shape.length!==1)throw new Error(`Values must be a vector, saw: ${o.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw: ${i.shape}`);const a=e.readSync(s.dataId),c=e.readSync(o.dataId),l=e.readSync(r.dataId),u=e.readSync(i.dataId)[0],[d,h,p,f,m]=zK(a,s.shape,s.dtype,c,o.dtype,l,u);return[e.makeTensorInfo(h,s.dtype,d),e.makeTensorInfo([h[0]],o.dtype,p),e.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),e.makeTensorInfo([m.length],s.dtype,new Int32Array(m))]}const i9={kernelName:Gf,backendName:"webgl",kernelFunc:r9};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function a9(n){const{inputs:t,backend:e}=n,{inputIndices:s,inputShape:o,newShape:r}=t;if(s.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${s.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${o.shape}`);if(r.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${r.shape}`);const i=Array.from(e.readSync(o.dataId)),a=e.readSync(s.dataId),c=Array.from(e.readSync(r.dataId)),[l,u,d]=VK(a,s.shape,s.dtype,i,c);return[e.makeTensorInfo(u,s.dtype,l),e.makeTensorInfo([d.length],r.dtype,new Int32Array(d))]}const c9={kernelName:Lf,backendName:"webgl",kernelFunc:a9};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function l9(n){const{inputs:t,backend:e}=n,{data:s,indices:o,segmentIds:r}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${o.shape}`);if(r.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape ${r.shape}`);const i=e.readSync(s.dataId),a=e.readSync(o.dataId),c=e.readSync(r.dataId),[l,u]=T1(i,s.shape,s.dtype,a,c,!0);return e.makeTensorInfo(u,s.dtype,l)}const u9={kernelName:$f,backendName:"webgl",kernelFunc:l9};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function d9(n){const{inputs:t,backend:e}=n,{data:s,indices:o,segmentIds:r}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape ${o.shape}`);if(r.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape ${r.shape}`);const i=e.readSync(s.dataId),a=e.readSync(o.dataId),c=e.readSync(r.dataId),[l,u]=T1(i,s.shape,s.dtype,a,c);return e.makeTensorInfo(u,s.dtype,l)}const h9={kernelName:Wf,backendName:"webgl",kernelFunc:d9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function p9(n){const{inputs:t,backend:e,attrs:s}=n,{sparseIndices:o,sparseValues:r,defaultValue:i}=t,{outputShape:a}=s,{sliceRank:c,numUpdates:l,sliceSize:u,strides:d,outputSize:h}=lo(r,o,a),p=!1;if(r.dtype==="string"){const b=e.bufferSync(o),x=e.bufferSync(r),C=xs(e.readSync(i.dataId)[0]),y=WK(b,x,a,h,u,l,c,d,C,p);return e.makeTensorInfo(a,y.dtype,y.values)}const f=new Ep(l,c,o.shape.length,r.shape.length,d,[h,1],p),m=e.runWebGLProgram(f,[r,o,i],r.dtype),g=tt({inputs:{x:m},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(m),g}const f9={kernelName:Xf,backendName:"webgl",kernelFunc:p9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function m9(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{numOrSizeSplits:r,axis:i}=s,a=Ct(i,o.shape)[0],c=wh(o,r,a),l=o.shape.length,u=new Array(l).fill(0),d=o.shape.slice();return c.map(h=>{const p=[...d];p[a]=h;const f=xr({inputs:{x:o},backend:e,attrs:{begin:u,size:p}});return u[a]+=h,f})}const g9={kernelName:mc,backendName:"webgl",kernelFunc:m9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const wC="return sqrt(x);",b9=Tt({opSnippet:wC,packedOpSnippet:wC,cpuKernelImpl:EK}),x9={kernelName:hi,backendName:"webgl",kernelFunc:b9};/** * @license * Copyright 2019 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const y9=Tt({opSnippet:"return x * x;"}),C9={kernelName:Fu,backendName:"webgl",kernelFunc:y9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const SC="return (a - b) * (a - b);",I9=Se({opSnippet:SC,packedOpSnippet:SC}),w9={kernelName:pi,backendName:"webgl",kernelFunc:I9};/** * @license * Copyright 2023 Google LLC. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function S9(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t;if(o.dtype!=="string")throw new Error("Input must be of datatype string");const r=e.readSync(o.dataId),i=cs(r),a=KK(i,"string",s);return e.makeTensorInfo(o.shape,"string",a)}const v9={kernelName:Du,backendName:"webgl",kernelFunc:S9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function k9({inputs:n,attrs:t,backend:e}){const{x:s}=n,o=wn+` return x > 0.0 ? 1.0 : float(${t.alpha}); `,r=new jn(s.shape,o);return e.runWebGLProgram(r,[s],s.dtype)}const T9={kernelName:xi,backendName:"webgl",kernelFunc:k9};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class N9{constructor(t,e,s){this.variableNames=["x"],this.outputShape=s;const o=s.length,r=Mt(s.length),i=Mt(s.length);let a="";if(o===1)a="coords * strides + begin";else{let c=0;a=s.map((l,u)=>(c++,s.length===1?`coords * strides[${u}] + begin[${u}]`:`coords[${c-1}] * strides[${u}] + begin[${u}]`)).join(",")}this.userCode=` ${r} begin = ${r}(${t}); ${r} strides = ${r}(${e}); void main() { ${i} coords = getOutputCoords(); setOutput(getX(${a})); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function R9(n){const{inputs:t,backend:e,attrs:s}=n,{x:o}=t,{begin:r,end:i,strides:a,beginMask:c,endMask:l,ellipsisMask:u,newAxisMask:d,shrinkAxisMask:h}=s,{finalShapeSparse:p,finalShape:f,isIdentity:m,sliceDim0:g,isSimpleSlice:b,begin:x,end:C,strides:y}=kg(o.shape,r,i,a,c,l,u,d,h);let I;if(m)I=tt({inputs:{x:o},backend:e,attrs:{shape:f}});else if(g||b){S(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);const k=wg(x,C,y),v=xr({inputs:{x:o},backend:e,attrs:{begin:x,size:k}});I=tt({inputs:{x:v},backend:e,attrs:{shape:f}}),e.disposeIntermediateTensorInfo(v)}else if(e.shouldExecuteOnCPU([o])){const v=e.readSync(o.dataId),T=It(o.shape,o.dtype,v),R=ZK(p,T,y,x);I=e.makeTensorInfo(f,o.dtype,R.values)}else{const v=new N9(x,y,p);I=e.runWebGLProgram(v,[o],o.dtype)}const w=tt({inputs:{x:I},backend:e,attrs:{shape:f}});return e.disposeIntermediateTensorInfo(I),w}const G9={kernelName:Pu,backendName:"webgl",kernelFunc:R9};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function L9(n){const{inputs:t,backend:e,attrs:s}=n,{separator:o,nGramWidths:r,leftPad:i,rightPad:a,padWidth:c,preserveShortSequences:l}=s,{data:u,dataSplits:d}=t,h=e.readSync(u.dataId),p=e.readSync(d.dataId),[f,m]=FK(h,p,o,r,i,a,c,l);return[e.makeTensorInfo([f.length],"string",f),e.makeTensorInfo(d.shape,"int32",m)]}const $9={kernelName:Mf,backendName:"webgl",kernelFunc:L9};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function W9(n){const{inputs:t,backend:e,attrs:s}=n,{skipEmpty:o}=s,{input:r,delimiter:i}=t;if(r.dtype!=="string")throw new Error("Input must be of datatype string");if(r.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${r.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);const a=e.readSync(r.dataId),c=e.readSync(i.dataId)[0],[l,u,d]=DK(a,c,o),h=u.length;return[e.makeTensorInfo([h,2],"int32",l),e.makeTensorInfo([h],"string",u),e.makeTensorInfo([2],"int32",new Int32Array(d))]}const X9={kernelName:zf,backendName:"webgl",kernelFunc:W9};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function M9(n){const{inputs:t,backend:e,attrs:s}=n,{numBuckets:o}=s,{input:r}=t;if(r.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");const i=e.readSync(r.dataId),a=PK(i,o);return e.makeTensorInfo(r.shape,"int32",a)}const z9={kernelName:Vf,backendName:"webgl",kernelFunc:M9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const V9=Tt({opSnippet:"return tan(x);"}),E9={kernelName:mi,backendName:"webgl",kernelFunc:V9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const K9=Tt({opSnippet:` float e2x = exp(-2.0 * abs(x)); return sign(x) * (1.0 - e2x) / (1.0 + e2x); `}),Z9={kernelName:gi,backendName:"webgl",kernelFunc:K9};/** * @license * Copyright 2022 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function F9(n){const{inputs:t,backend:e,attrs:s}=n,{tensor:o,indices:r,updates:i}=t,{sliceRank:a,numUpdates:c,sliceSize:l,strides:u,outputSize:d}=lo(i,r,o.shape),h=[d/l,l];if(d===0)return e.makeTensorInfo(o.shape,r.dtype);const p=tt({inputs:{x:r},backend:e,attrs:{shape:[c,a]}}),f=tt({inputs:{x:i},backend:e,attrs:{shape:[c,l]}}),m=tt({inputs:{x:o},backend:e,attrs:{shape:h}}),g=new Ep(c,a,p.shape.length,f.shape.length,u,h,!1,!0),b=e.runWebGLProgram(g,[f,p,m],m.dtype),x=tt({inputs:{x:b},backend:e,attrs:{shape:o.shape}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(b),x}const D9={kernelName:Nf,backendName:"webgl",kernelFunc:F9};/** * @license * Copyright 2017 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class P9{constructor(t,e){this.variableNames=["A"];const s=new Array(t.length);for(let i=0;i5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${n[0]})`;const e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],s=[];for(let o=0;o5){const c=e.readSync(o.dataId),l=o.dtype==="string"?c.map(h=>xs(h)):c,u=It(o.shape,o.dtype,l),d=AK(u,r);return e.makeTensorInfo(d.shape,d.dtype,d.values)}const i=new P9(o.shape,r);return e.runWebGLProgram(i,[o],o.dtype)}const A9={kernelName:bi,backendName:"webgl",kernelFunc:vC};class H9{constructor(t){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=t,this.userCode=` void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; int elemIdx = coords[1]; // We compare elements pair-wise within a group of size 2 * inc. // The comparing rule for each group alternates between ascending // and descending. Within each group, we compare each pair at // positions i and i+inc. To decide whether an element at position i // is x0 or x1, we mod it by 2 * inc, if the result is smaller than // inc, it is in the first half of the group, we denote it as x0, // otherwise we denote it as x1. // For example, as shown in the Bitonic top K paper referenced above, // Figure5(a) shows that element[1] is in the // second half of the group when group size is 2, but it is in the // first half of the group when group size is 4. bool isFirstInPair = imod(elemIdx, 2 * inc) < inc; int i = isFirstInPair ? elemIdx : elemIdx - inc; int i0 = firstPass == 1 ? i : int(getIndices(batch, i)); int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc)); float x0 = i0 < n ? getX(batch, i0) : negativeInf; float x1 = i1 < n ? getX(batch, i1) : negativeInf; // Denotes which direction indices are in (ascending or descending). bool reverse = imod(elemIdx, 2 * dir) >= dir; bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0); if (reverse == isGreater) { // Elements in opposite order of direction int iTemp = i0; i0 = i1; i1 = iTemp; } if (isFirstInPair) { setOutput(float(i0)); } else { setOutput(float(i1)); } } `}}class B9{constructor(t){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=t,this.userCode=` void main() { // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ... ivec2 coords = getOutputCoords(); int batch = coords[0]; int elemIdx = coords[1]; // The output size is half of the previous size. // If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4), // we only need to output the indices at positions |, the indices at // positions _ can be thrown away, see Figure5(b) After Phase 2 // (Merge phase) in the Bitonic Top K paper referenced above. // For example, the paper shows we only need to output the orange bars. // The output sequence should look like this | | | | | | | |. // Because the sequence is halved, to map the output index back // to the previous sequence to find the corresponding value, // we need to double the index. When we double the index, // we basically interpolate a position, so 2i looks like // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position // of each 2k positions by - elemIdx % k. E.g. for output at // index 4,5,6,7, we want to get the corresponding element at // original index 8,9,10,11, for output at index 8,9,10,11, // we want to get the corresponding element at original index // 16,17,18,19, so on and so forth. int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k)); int i0 = firstPass == 1 ? i : int(getIndices(batch, i)); int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k)); float x0 = getX(batch, i0); float x1 = i1 < n ? getX(batch, i1) : x0; setOutput(x0 >= x1 ? float(i0) : float(i1)); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Lo(n,t){t!==null&&n.disposeIntermediateTensorInfo(t)}function kC(n){let t=1;for(;tc){const R=e.readSync(o.dataId),[W,E]=HK(R,l,o.dtype,r,i);return[e.makeTensorInfo(W.shape,W.dtype,W.values),e.makeTensorInfo(E.shape,E.dtype,E.values)]}if(r===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,"int32",[])];if(u===1)return[o,pa({attrs:{shape:l,dtype:"int32",value:0},backend:e})];const d=e.texData.get(o.dataId),h=d!==null&&d.isPacked,p=h?e.unpackTensor(o):o,m=A(l)/u,g=tt({inputs:{x:p},attrs:{shape:[m,u]},backend:e});h&&Lo(e,p);const b=kC(r),x=kC(u);let C=null;const y=()=>C===null?[g,g]:[g,C],I=(R,W,E)=>{const K=y(),Z=new H9(E),D=[[u],[C===null?1:0],[Number.NEGATIVE_INFINITY],[R],[W]],H=C;C=e.runWebGLProgram(Z,K,"int32",D),Lo(e,H)};for(let R=1;R=1;E/=2)I(W,E,[m,x])}for(let R=x;R>b;R/=2){const W=y(),E=new B9([m,R/2]),Z=[[u],[C===null?1:0],[b]],F=C;C=e.runWebGLProgram(E,W,"int32",Z),Lo(e,F);const D=b/2,H=D*2;for(let O=D;O>=1;O/=2)I(H,O,C.shape)}let w=C;C=xr({inputs:{x:C},backend:e,attrs:{begin:0,size:[m,r]}}),Lo(e,w);let k=pC({inputs:{x:g,indices:C},backend:e,attrs:{axis:1,batchDims:1}});Lo(e,g);const v=l.slice(0,-1);v.push(r),w=C,C=tt({inputs:{x:C},attrs:{shape:v},backend:e}),Lo(e,w);const T=k;return k=tt({inputs:{x:k},attrs:{shape:v},backend:e}),Lo(e,T),[k,C]}const _9={kernelName:Ou,backendName:"webgl",kernelFunc:U9};/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class Y9{constructor(t,e,s,o,r,i){this.variableNames=["Image","Transforms"],this.outputShape=i;const a=s==="nearest"?1:2;let c;switch(o){case"constant":c=1;break;case"reflect":c=2;break;case"wrap":c=3;break;case"nearest":c=4;break;default:c=1;break}this.userCode=` float mapCoord(float outCoord, float len) { float inCoord = outCoord; if(${c} == 2) { if (inCoord < 0.0) { if (len <= 1.0) { inCoord = 0.0; } else { float sz2 = 2.0 * len; if (inCoord < sz2) { inCoord = sz2 * float(int(float(-inCoord / sz2))) + inCoord; } inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0; } } else if (inCoord > len - 1.0) { if (len <= 1.0) { inCoord = 0.0; } else { float sz2 = 2.0 * len; inCoord -= sz2 * float(int(float(inCoord / sz2))); if (inCoord >= len) { inCoord = sz2 - inCoord - 1.0; } } } return clamp(inCoord, 0.0, len - 1.0); } else if (${c} == 3) { if (inCoord < 0.0) { if (len <= 1.0) { inCoord = 0.0; } else { float sz = len - 1.0; inCoord += len * (float(int(float(-inCoord / sz))) + 1.0); } } else if (inCoord > len - 1.0) { if (len <= 1.0) { inCoord = 0.0; } else { float sz = len - 1.0; inCoord -= len * float(int(float(inCoord / sz))); } } return clamp(inCoord, 0.0, len - 1.0); } else if (${c} == 4) { return clamp(outCoord, 0.0, len - 1.0); } else { return outCoord; } } float readWithFillValue(int batch, int coordY, int coordX, int channel) { float outputValue; if (0 <= coordY && coordY < ${t} && 0 <= coordX && coordX < ${e}) { outputValue = getImage(batch, coordY, coordX, channel); } else { outputValue = float(${r}); } return outputValue; } void main() { ivec4 coords = getOutputCoords(); float outputValue; int batch = coords[0]; int x = coords[2]; int y = coords[1]; int channel = coords[3]; float xf = float(x); float yf = float(y); float a1 = getTransforms(batch, 0); float a2 = getTransforms(batch, 1); float a3 = getTransforms(batch, 2); float b1 = getTransforms(batch, 3); float b2 = getTransforms(batch, 4); float b3 = getTransforms(batch, 5); float c1 = getTransforms(batch, 6); float c2 = getTransforms(batch, 7); float projection = c1 * xf + c2 * yf + 1.0; if (projection == 0.0) { outputValue = float(${r}); } else { float inX = (a1 * xf + a2 * yf + a3) / projection; float inY = (b1 * xf + b2 * yf + b3) / projection; float mapX = mapCoord(inX, float(${e})); float mapY = mapCoord(inY, float(${t})); if (${a} == 1) { int coordY = int(round(mapY)); int coordX = int(round(mapX)); outputValue = readWithFillValue(batch, coordY, coordX, channel); } else { float yFloor = floor(mapY); float xFloor = floor(mapX); float yCeil = yFloor + 1.0; float xCeil = xFloor + 1.0; float valueYFloor = (xCeil - mapX) * readWithFillValue(batch, int(yFloor), int(xFloor), channel) + (mapX - xFloor) * readWithFillValue(batch, int(yFloor), int(xCeil), channel); float valueYCeil = (xCeil - mapX) * readWithFillValue(batch, int(yCeil), int(xFloor), channel) + (mapX - xFloor) * readWithFillValue(batch, int(yCeil), int(xCeil), channel); outputValue = (yCeil - mapY) * valueYFloor + (mapY - yFloor) * valueYCeil; } } setOutput(outputValue); } `}}/** * @license * Copyright 2021 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function Q9(n){const{inputs:t,backend:e,attrs:s}=n,{image:o,transforms:r}=t,{interpolation:i,fillMode:a,fillValue:c,outputShape:l}=s,[u,d,h,p]=o.shape,[f,m]=l??[d,h],g=[u,f,m,p],b=new Y9(d,h,i,a,c,g);return e.runWebGLProgram(b,[o,r],"float32")}const J9={kernelName:Au,backendName:"webgl",kernelFunc:Q9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the License); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an AS IS BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function j9(n){const{inputs:t,attrs:e,backend:s}=n,{axis:o}=e,{x:r}=t;ia(r,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");const i=s.readSync(r.dataId),{outputValues:a,outputShape:c,indices:l}=BK(i,o,r.shape,r.dtype);return[s.makeTensorInfo(c,r.dtype,a),s.makeTensorInfo([l.length],"int32",l)]}const q9={kernelName:Hu,backendName:"webgl",kernelFunc:j9};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function tB(n){const{inputs:t,backend:e,attrs:s}=n,{value:o}=t;let{axis:r}=s;r<0&&(r+=o.shape.length);const i=o,a=i.shape.length,c=o.shape[r],l=new Array(a-1);let u=0;for(let m=0;me.disposeIntermediateTensorInfo(m)),f}const eB={kernelName:bc,backendName:"webgl",kernelFunc:tB};/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */class nB{constructor(t,e){this.variableNames=["x","segmentIds"];const s=t.windowSize,o=t.batchSize,r=t.inSize,i=t.numSegments,a=i*Math.ceil(r/s);this.outputShape=[o,a];const c="0.0",l="sumValue",u=Math.floor(s/4)*4,d=s%4,h=` sumValue += dot(values, segFilter); `;let p="";r%s>0&&(p=` if (inIdx < 0 || inIdx >= ${r}) { return initializationValue; } `);let f="";r%s>0&&(f=` if (inIdx < 0 || inIdx >= ${r}) { return -1.0; } `),this.userCode=` const float initializationValue = ${c}; float getValue(int batch, int inIdx) { ${p} return getX(batch, inIdx); } float getSegmentIdAtIndex(int inIdx) { ${f} return getSegmentIds(inIdx); } void main() { ivec2 coords = getOutputCoords(); int batch = coords[0]; int outIdx = coords[1]; int inOffset = int(floor(float(outIdx) / float( ${i})) * float(${s})); int currentSeg = int(mod(float(outIdx), float(${i}))); float sumValue = 0.0; for (int i = 0; i < ${u}; i += 4) { int inIdx = inOffset + i; vec4 values = vec4( getValue(batch, inIdx), getValue(batch, inIdx + 1), getValue(batch, inIdx + 2), getValue(batch, inIdx + 3) ); vec4 segFilter = vec4( int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0, int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0, int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0, int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0 ); ${h} } int inIdx = inOffset + ${u}; if (${d===1}) { vec4 values = vec4( getValue(batch, inIdx), initializationValue, initializationValue, initializationValue ); int inIdxSeg = int(getSegmentIdAtIndex(inIdx)); vec4 segFilter = vec4( int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0, 0, 0, 0 ); ${h} } else if (${d===2}) { vec4 values = vec4( getValue(batch, inIdx), getValue(batch, inIdx + 1), initializationValue, initializationValue ); vec4 segFilter = vec4( int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0, int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0, 0, 0 ); ${h} } else if (${d===3}) { vec4 values = vec4( getValue(batch, inIdx), getValue(batch, inIdx + 1), getValue(batch, inIdx + 2), initializationValue ); vec4 segFilter = vec4( int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0, int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0, int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0, 0 ); ${h} } setOutput(${l}); } `}}/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */function sB(n){const{inputs:t,backend:e,attrs:s}=n,{x:o,segmentIds:r}=t,{numSegments:i}=s,a=o.shape.length,c=[];let l=0;const u=Yt([l],a);let d=o;u!=null&&(d=Ve({inputs:{x:o},backend:e,attrs:{perm:u}}),c.push(d),l=ee(1,a)[0]);const h=DT(d.shape,l,i),p=A([d.shape[l]]),f=tt({inputs:{x:d},backend:e,attrs:{shape:[-1,p]}});c.push(f);const m=od(o.dtype),g=(y,I,w,k,v)=>{const T=y.shape[0],R=y.shape[1],W=FT(R,v),E={windowSize:W,inSize:R,batchSize:T,numSegments:v},K=new nB(E,I),Z=e.compileAndRun(K,[y,w],k);if(c.push(Z),Z.shape[1]===v)return Z;const F=IC({backend:e,attrs:{start:0,stop:v,step:1,dtype:"float32"}}),D=vC({inputs:{x:F},backend:e,attrs:{reps:[R/W]}});return c.push(F),c.push(D),g(Z,I,D,k,v)},b=g(f,"unsortedSegmentSum",r,m,i),x=tt({inputs:{x:b},backend:e,attrs:{shape:h}});let C=x;if(u!=null){c.push(x);const y=Ss(u);C=Ve({inputs:{x:C},backend:e,attrs:{perm:y}})}return c.forEach(y=>e.disposeIntermediateTensorInfo(y)),C}const oB={kernelName:xc,backendName:"webgl",kernelFunc:sB};/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */const 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TypeError("callback must be a function");const t=[];switch(e){case"row":{for(let n=0;n<this.rows;n++)t.push(s.call(this,this.getRow(n),n));break}case"column":{for(let n=0;n<this.columns;n++)t.push(s.call(this,this.getColumn(n),n));break}default:throw new Error(`invalid option: ${e}`)}return t}to1DArray(){let s=[];for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)s.push(this.get(e,t));return s}to2DArray(){let s=[];for(let e=0;e<this.rows;e++){s.push([]);for(let t=0;t<this.columns;t++)s[e].push(this.get(e,t))}return s}toJSON(){return this.to2DArray()}isRowVector(){return this.rows===1}isColumnVector(){return this.columns===1}isVector(){return this.rows===1||this.columns===1}isSquare(){return this.rows===this.columns}isEmpty(){return this.rows===0||this.columns===0}isSymmetric(){if(this.isSquare()){for(let s=0;s<this.rows;s++)for(let e=0;e<=s;e++)if(this.get(s,e)!==this.get(e,s))return!1;return!0}return!1}isDistance(){if(!this.isSymmetric())return!1;for(let s=0;s<this.rows;s++)if(this.get(s,s)!==0)return!1;return!0}isEchelonForm(){let s=0,e=0,t=-1,n=!0,o=!1;for(;s<this.rows&&n;){for(e=0,o=!1;e<this.columns&&o===!1;)this.get(s,e)===0?e++:this.get(s,e)===1&&e>t?(o=!0,t=e):(n=!1,o=!0);s++}return n}isReducedEchelonForm(){let s=0,e=0,t=-1,n=!0,o=!1;for(;s<this.rows&&n;){for(e=0,o=!1;e<this.columns&&o===!1;)this.get(s,e)===0?e++:this.get(s,e)===1&&e>t?(o=!0,t=e):(n=!1,o=!0);for(let i=e+1;i<this.rows;i++)this.get(s,i)!==0&&(n=!1);s++}return n}echelonForm(){let s=this.clone(),e=0,t=0;for(;e<s.rows&&t<s.columns;){let n=e;for(let o=e;o<s.rows;o++)s.get(o,t)>s.get(n,t)&&(n=o);if(s.get(n,t)===0)t++;else{s.swapRows(e,n);let o=s.get(e,t);for(let i=t;i<s.columns;i++)s.set(e,i,s.get(e,i)/o);for(let i=e+1;i<s.rows;i++){let h=s.get(i,t)/s.get(e,t);s.set(i,t,0);for(let l=t+1;l<s.columns;l++)s.set(i,l,s.get(i,l)-s.get(e,l)*h)}e++,t++}}return s}reducedEchelonForm(){let s=this.echelonForm(),e=s.columns,t=s.rows,n=t-1;for(;n>=0;)if(s.maxRow(n)===0)n--;else{let o=0,i=!1;for(;o<t&&i===!1;)s.get(n,o)===1?i=!0:o++;for(let h=0;h<n;h++){let l=s.get(h,o);for(let u=o;u<e;u++){let f=s.get(h,u)-l*s.get(n,u);s.set(h,u,f)}}n--}return s}set(){throw new Error("set method is unimplemented")}get(){throw new Error("get method is unimplemented")}repeat(s={}){if(typeof s!="object")throw new TypeError("options must be an object");const{rows:e=1,columns:t=1}=s;if(!Number.isInteger(e)||e<=0)throw new TypeError("rows must be a positive integer");if(!Number.isInteger(t)||t<=0)throw new TypeError("columns must be a positive integer");let n=new j(this.rows*e,this.columns*t);for(let o=0;o<e;o++)for(let i=0;i<t;i++)n.setSubMatrix(this,this.rows*o,this.columns*i);return n}fill(s){for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)this.set(e,t,s);return this}neg(){return this.mulS(-1)}getRow(s){st(this,s);let e=[];for(let t=0;t<this.columns;t++)e.push(this.get(s,t));return e}getRowVector(s){return j.rowVector(this.getRow(s))}setRow(s,e){st(this,s),e=ct(this,e);for(let t=0;t<this.columns;t++)this.set(s,t,e[t]);return this}swapRows(s,e){st(this,s),st(this,e);for(let t=0;t<this.columns;t++){let n=this.get(s,t);this.set(s,t,this.get(e,t)),this.set(e,t,n)}return this}getColumn(s){nt(this,s);let e=[];for(let t=0;t<this.rows;t++)e.push(this.get(t,s));return e}getColumnVector(s){return j.columnVector(this.getColumn(s))}setColumn(s,e){nt(this,s),e=ft(this,e);for(let t=0;t<this.rows;t++)this.set(t,s,e[t]);return this}swapColumns(s,e){nt(this,s),nt(this,e);for(let t=0;t<this.rows;t++){let n=this.get(t,s);this.set(t,s,this.get(t,e)),this.set(t,e,n)}return this}addRowVector(s){s=ct(this,s);for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)this.set(e,t,this.get(e,t)+s[t]);return this}subRowVector(s){s=ct(this,s);for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)this.set(e,t,this.get(e,t)-s[t]);return this}mulRowVector(s){s=ct(this,s);for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)this.set(e,t,this.get(e,t)*s[t]);return this}divRowVector(s){s=ct(this,s);for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)this.set(e,t,this.get(e,t)/s[t]);return this}addColumnVector(s){s=ft(this,s);for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)this.set(e,t,this.get(e,t)+s[e]);return this}subColumnVector(s){s=ft(this,s);for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)this.set(e,t,this.get(e,t)-s[e]);return this}mulColumnVector(s){s=ft(this,s);for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)this.set(e,t,this.get(e,t)*s[e]);return this}divColumnVector(s){s=ft(this,s);for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)this.set(e,t,this.get(e,t)/s[e]);return this}mulRow(s,e){st(this,s);for(let t=0;t<this.columns;t++)this.set(s,t,this.get(s,t)*e);return this}mulColumn(s,e){nt(this,s);for(let t=0;t<this.rows;t++)this.set(t,s,this.get(t,s)*e);return this}max(s){if(this.isEmpty())return NaN;switch(s){case"row":{const e=new Array(this.rows).fill(Number.NEGATIVE_INFINITY);for(let t=0;t<this.rows;t++)for(let n=0;n<this.columns;n++)this.get(t,n)>e[t]&&(e[t]=this.get(t,n));return e}case"column":{const e=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let t=0;t<this.rows;t++)for(let n=0;n<this.columns;n++)this.get(t,n)>e[n]&&(e[n]=this.get(t,n));return e}case void 0:{let e=this.get(0,0);for(let t=0;t<this.rows;t++)for(let n=0;n<this.columns;n++)this.get(t,n)>e&&(e=this.get(t,n));return e}default:throw new Error(`invalid option: ${s}`)}}maxIndex(){at(this);let s=this.get(0,0),e=[0,0];for(let t=0;t<this.rows;t++)for(let n=0;n<this.columns;n++)this.get(t,n)>s&&(s=this.get(t,n),e[0]=t,e[1]=n);return e}min(s){if(this.isEmpty())return NaN;switch(s){case"row":{const e=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let t=0;t<this.rows;t++)for(let n=0;n<this.columns;n++)this.get(t,n)<e[t]&&(e[t]=this.get(t,n));return e}case"column":{const e=new Array(this.columns).fill(Number.POSITIVE_INFINITY);for(let t=0;t<this.rows;t++)for(let n=0;n<this.columns;n++)this.get(t,n)<e[n]&&(e[n]=this.get(t,n));return e}case void 0:{let e=this.get(0,0);for(let t=0;t<this.rows;t++)for(let n=0;n<this.columns;n++)this.get(t,n)<e&&(e=this.get(t,n));return e}default:throw new Error(`invalid option: ${s}`)}}minIndex(){at(this);let s=this.get(0,0),e=[0,0];for(let t=0;t<this.rows;t++)for(let n=0;n<this.columns;n++)this.get(t,n)<s&&(s=this.get(t,n),e[0]=t,e[1]=n);return e}maxRow(s){if(st(this,s),this.isEmpty())return NaN;let e=this.get(s,0);for(let t=1;t<this.columns;t++)this.get(s,t)>e&&(e=this.get(s,t));return e}maxRowIndex(s){st(this,s),at(this);let e=this.get(s,0),t=[s,0];for(let n=1;n<this.columns;n++)this.get(s,n)>e&&(e=this.get(s,n),t[1]=n);return t}minRow(s){if(st(this,s),this.isEmpty())return NaN;let e=this.get(s,0);for(let t=1;t<this.columns;t++)this.get(s,t)<e&&(e=this.get(s,t));return e}minRowIndex(s){st(this,s),at(this);let e=this.get(s,0),t=[s,0];for(let n=1;n<this.columns;n++)this.get(s,n)<e&&(e=this.get(s,n),t[1]=n);return t}maxColumn(s){if(nt(this,s),this.isEmpty())return NaN;let e=this.get(0,s);for(let t=1;t<this.rows;t++)this.get(t,s)>e&&(e=this.get(t,s));return e}maxColumnIndex(s){nt(this,s),at(this);let e=this.get(0,s),t=[0,s];for(let n=1;n<this.rows;n++)this.get(n,s)>e&&(e=this.get(n,s),t[0]=n);return t}minColumn(s){if(nt(this,s),this.isEmpty())return NaN;let e=this.get(0,s);for(let t=1;t<this.rows;t++)this.get(t,s)<e&&(e=this.get(t,s));return e}minColumnIndex(s){nt(this,s),at(this);let e=this.get(0,s),t=[0,s];for(let n=1;n<this.rows;n++)this.get(n,s)<e&&(e=this.get(n,s),t[0]=n);return t}diag(){let s=Math.min(this.rows,this.columns),e=[];for(let t=0;t<s;t++)e.push(this.get(t,t));return e}norm(s="frobenius"){switch(s){case"max":return this.max();case"frobenius":return Math.sqrt(this.dot(this));default:throw new RangeError(`unknown norm type: ${s}`)}}cumulativeSum(){let s=0;for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)s+=this.get(e,t),this.set(e,t,s);return this}dot(s){z.isMatrix(s)&&(s=s.to1DArray());let e=this.to1DArray();if(e.length!==s.length)throw new RangeError("vectors do not have the same size");let t=0;for(let n=0;n<e.length;n++)t+=e[n]*s[n];return t}mmul(s){s=j.checkMatrix(s);let e=this.rows,t=this.columns,n=s.columns,o=new j(e,n),i=new Float64Array(t);for(let h=0;h<n;h++){for(let l=0;l<t;l++)i[l]=s.get(l,h);for(let l=0;l<e;l++){let u=0;for(let f=0;f<t;f++)u+=this.get(l,f)*i[f];o.set(l,h,u)}}return o}gram(){const s=this.rows,e=this.columns,t=new Float64Array(e*e);for(let o=0;o<s;o++)for(let i=0;i<e;i++){const h=this.get(o,i);if(h===0)continue;const l=i*e;for(let u=i;u<e;u++)t[l+u]+=h*this.get(o,u)}const n=new j(e,e);for(let o=0;o<e;o++){const i=o*e;for(let h=o;h<e;h++){const l=t[i+h];n.set(o,h,l),n.set(h,o,l)}}return n}transposeMultiply(s){if(s=j.checkMatrix(s),this.rows!==s.rows)throw new RangeError("the number of rows of the two matrices must be equal");const e=this.columns,t=s.columns,n=new j(e,t),o=new Float64Array(t);for(let i=0;i<this.rows;i++){for(let h=0;h<t;h++)o[h]=s.get(i,h);for(let h=0;h<e;h++){const l=this.get(i,h);if(l===0)continue;const u=n.data[h];for(let f=0;f<t;f++)u[f]+=l*o[f]}}return n}mmulByTranspose(s){let e=this.rows,t=this.columns;if(s!==void 0&&s.length!==t)throw new RangeError("scale must have one value per column");let n=new j(e,e),o=new Float64Array(t);for(let i=0;i<e;i++){if(s===void 0)for(let h=0;h<t;h++)o[h]=this.get(i,h);else for(let h=0;h<t;h++)o[h]=s[h]*this.get(i,h);for(let h=i;h<e;h++){let l=0;for(let u=0;u<t;u++)l+=this.get(h,u)*o[u];n.set(h,i,l),n.set(i,h,l)}}return n}mpow(s){if(!this.isSquare())throw new RangeError("Matrix must be square");if(!Number.isInteger(s)||s<0)throw new RangeError("Exponent must be a non-negative integer");let e=j.eye(this.rows),t=this;for(let n=s;n>=1;n/=2)n&1&&(e=e.mmul(t)),t=t.mmul(t);return e}strassen2x2(s){s=j.checkMatrix(s);let e=new j(2,2);const t=this.get(0,0),n=s.get(0,0),o=this.get(0,1),i=s.get(0,1),h=this.get(1,0),l=s.get(1,0),u=this.get(1,1),f=s.get(1,1),c=(t+u)*(n+f),g=(h+u)*n,M=t*(i-f),w=u*(l-n),p=(t+o)*f,y=(h-t)*(n+i),a=(o-u)*(l+f),S=c+w-p+a,d=M+p,k=g+w,R=c-g+M+y;return e.set(0,0,S),e.set(0,1,d),e.set(1,0,k),e.set(1,1,R),e}strassen3x3(s){s=j.checkMatrix(s);let e=new j(3,3);const t=this.get(0,0),n=this.get(0,1),o=this.get(0,2),i=this.get(1,0),h=this.get(1,1),l=this.get(1,2),u=this.get(2,0),f=this.get(2,1),c=this.get(2,2),g=s.get(0,0),M=s.get(0,1),w=s.get(0,2),p=s.get(1,0),y=s.get(1,1),a=s.get(1,2),S=s.get(2,0),d=s.get(2,1),k=s.get(2,2),R=(t+n+o-i-h-f-c)*y,q=(t-i)*(-M+y),v=h*(-g+M+p-y-a-S+k),N=(-t+i+h)*(g-M+y),F=(i+h)*(-g+M),m=t*g,b=(-t+u+f)*(g-w+a),I=(-t+u)*(w-a),E=(u+f)*(-g+w),C=(t+n+o-h-l-u-f)*a,P=f*(-g+w+p-y-a-S+d),B=(-o+f+c)*(y+S-d),L=(o-c)*(y-d),W=o*S,tt=(f+c)*(-S+d),T=(-o+h+l)*(a+S-k),V=(o-l)*(a-k),A=(h+l)*(-S+k),D=n*p,$=l*d,J=i*w,Q=u*M,X=c*k,_t=m+W+D,Pt=R+N+F+m+B+W+tt,Ct=m+b+E+C+W+T+A,yt=q+v+N+m+W+T+V,Mt=q+N+F+m+$,bt=W+T+V+A+J,Kt=m+b+I+P+B+L+W,St=B+L+W+tt+Q,Wt=m+b+I+E+X;return e.set(0,0,_t),e.set(0,1,Pt),e.set(0,2,Ct),e.set(1,0,yt),e.set(1,1,Mt),e.set(1,2,bt),e.set(2,0,Kt),e.set(2,1,St),e.set(2,2,Wt),e}mmulStrassen(s){s=j.checkMatrix(s);let e=this.clone(),t=e.rows,n=e.columns,o=s.rows,i=s.columns;n!==o&&console.warn(`Multiplying ${t} x ${n} and ${o} x ${i} matrix: dimensions do not match.`);function h(c,g,M){let w=c.rows,p=c.columns;if(w===g&&p===M)return c;{let y=z.zeros(g,M);return y=y.setSubMatrix(c,0,0),y}}let l=Math.max(t,o),u=Math.max(n,i);e=h(e,l,u),s=h(s,l,u);function f(c,g,M,w){if(M<=512||w<=512)return c.mmul(g);M%2===1&&w%2===1?(c=h(c,M+1,w+1),g=h(g,M+1,w+1)):M%2===1?(c=h(c,M+1,w),g=h(g,M+1,w)):w%2===1&&(c=h(c,M,w+1),g=h(g,M,w+1));let p=parseInt(c.rows/2,10),y=parseInt(c.columns/2,10),a=c.subMatrix(0,p-1,0,y-1),S=g.subMatrix(0,p-1,0,y-1),d=c.subMatrix(0,p-1,y,c.columns-1),k=g.subMatrix(0,p-1,y,g.columns-1),R=c.subMatrix(p,c.rows-1,0,y-1),q=g.subMatrix(p,g.rows-1,0,y-1),v=c.subMatrix(p,c.rows-1,y,c.columns-1),N=g.subMatrix(p,g.rows-1,y,g.columns-1),F=f(z.add(a,v),z.add(S,N),p,y),m=f(z.add(R,v),S,p,y),b=f(a,z.sub(k,N),p,y),I=f(v,z.sub(q,S),p,y),E=f(z.add(a,d),N,p,y),C=f(z.sub(R,a),z.add(S,k),p,y),P=f(z.sub(d,v),z.add(q,N),p,y),B=z.add(F,I);B.sub(E),B.add(P);let L=z.add(b,E),W=z.add(m,I),tt=z.sub(F,m);tt.add(b),tt.add(C);let T=z.zeros(2*B.rows,2*B.columns);return T=T.setSubMatrix(B,0,0),T=T.setSubMatrix(L,B.rows,0),T=T.setSubMatrix(W,0,B.columns),T=T.setSubMatrix(tt,B.rows,B.columns),T.subMatrix(0,M-1,0,w-1)}return f(e,s,l,u)}scaleRows(s={}){if(typeof s!="object")throw new TypeError("options must be an object");const{min:e=0,max:t=1}=s;if(!Number.isFinite(e))throw new TypeError("min must be a number");if(!Number.isFinite(t))throw new TypeError("max must be a number");if(e>=t)throw new RangeError("min must be smaller than max");let n=new j(this.rows,this.columns);for(let o=0;o<this.rows;o++){const i=this.getRow(o);i.length>0&&ne(i,{min:e,max:t,output:i}),n.setRow(o,i)}return n}scaleColumns(s={}){if(typeof s!="object")throw new TypeError("options must be an object");const{min:e=0,max:t=1}=s;if(!Number.isFinite(e))throw new TypeError("min must be a number");if(!Number.isFinite(t))throw new TypeError("max must be a number");if(e>=t)throw new RangeError("min must be smaller than max");let n=new j(this.rows,this.columns);for(let o=0;o<this.columns;o++){const i=this.getColumn(o);i.length&&ne(i,{min:e,max:t,output:i}),n.setColumn(o,i)}return n}flipRows(){const s=Math.ceil(this.columns/2);for(let e=0;e<this.rows;e++)for(let t=0;t<s;t++){let n=this.get(e,t),o=this.get(e,this.columns-1-t);this.set(e,t,o),this.set(e,this.columns-1-t,n)}return this}flipColumns(){const s=Math.ceil(this.rows/2);for(let e=0;e<this.columns;e++)for(let t=0;t<s;t++){let n=this.get(t,e),o=this.get(this.rows-1-t,e);this.set(t,e,o),this.set(this.rows-1-t,e,n)}return this}kroneckerProduct(s){s=j.checkMatrix(s);let e=this.rows,t=this.columns,n=s.rows,o=s.columns,i=new j(e*n,t*o);for(let h=0;h<e;h++)for(let l=0;l<t;l++)for(let u=0;u<n;u++)for(let f=0;f<o;f++)i.set(n*h+u,o*l+f,this.get(h,l)*s.get(u,f));return i}kroneckerSum(s){if(s=j.checkMatrix(s),!this.isSquare()||!s.isSquare())throw new Error("Kronecker Sum needs two Square Matrices");let e=this.rows,t=s.rows,n=this.kroneckerProduct(j.eye(t,t)),o=j.eye(e,e).kroneckerProduct(s);return n.add(o)}transpose(){let s=new j(this.columns,this.rows);for(let e=0;e<this.rows;e++)for(let t=0;t<this.columns;t++)s.set(t,e,this.get(e,t));return s}sortRows(s=le){for(let e=0;e<this.rows;e++)this.setRow(e,this.getRow(e).sort(s));return this}sortColumns(s=le){for(let e=0;e<this.columns;e++)this.setColumn(e,this.getColumn(e).sort(s));return this}subMatrix(s,e,t,n){Ut(this,s,e,t,n);let o=new j(e-s+1,n-t+1);for(let i=s;i<=e;i++)for(let h=t;h<=n;h++)o.set(i-s,h-t,this.get(i,h));return o}subMatrixRow(s,e,t){if(e===void 0&&(e=0),t===void 0&&(t=this.columns-1),e>t||e<0||e>=this.columns||t<0||t>=this.columns)throw new RangeError("Argument out of range");let n=new j(s.length,t-e+1);for(let o=0;o<s.length;o++)for(let i=e;i<=t;i++){if(s[o]<0||s[o]>=this.rows)throw new RangeError(`Row index out of range: ${s[o]}`);n.set(o,i-e,this.get(s[o],i))}return n}subMatrixColumn(s,e,t){if(e===void 0&&(e=0),t===void 0&&(t=this.rows-1),e>t||e<0||e>=this.rows||t<0||t>=this.rows)throw new RangeError("Argument out of range");let n=new j(t-e+1,s.length);for(let o=0;o<s.length;o++)for(let i=e;i<=t;i++){if(s[o]<0||s[o]>=this.columns)throw new RangeError(`Column index out of range: ${s[o]}`);n.set(i-e,o,this.get(i,s[o]))}return n}setSubMatrix(s,e,t){if(s=j.checkMatrix(s),s.isEmpty())return this;let n=e+s.rows-1,o=t+s.columns-1;Ut(this,e,n,t,o);for(let i=0;i<s.rows;i++)for(let h=0;h<s.columns;h++)this.set(e+i,t+h,s.get(i,h));return this}concat(s,e="row"){switch(s=j.checkMatrix(s),e){case"row":{if(this.columns!==s.columns)throw new RangeError("both matrices must have the same number of columns");const t=new j(this.rows+s.rows,this.columns);return t.setSubMatrix(this,0,0),t.setSubMatrix(s,this.rows,0),t}case"column":{if(this.rows!==s.rows)throw new RangeError("both matrices must have the same number of rows");const t=new j(this.rows,this.columns+s.columns);return t.setSubMatrix(this,0,0),t.setSubMatrix(s,0,this.columns),t}default:throw new Error(`invalid option: ${e}`)}}selection(s,e){Lt(this,s),Ot(this,e);let t=new j(s.length,e.length);for(let n=0;n<s.length;n++){let o=s[n];for(let i=0;i<e.length;i++){let h=e[i];t.set(n,i,this.get(o,h))}}return t}trace(){let s=Math.min(this.rows,this.columns),e=0;for(let t=0;t<s;t++)e+=this.get(t,t);return e}clone(){return this.constructor.copy(this,new j(this.rows,this.columns))}static copy(s,e){for(const[t,n,o]of s.entries())e.set(t,n,o);return e}sum(s){switch(s){case"row":return Le(this);case"column":return Oe(this);case void 0:return Ue(this);default:throw new Error(`invalid option: ${s}`)}}product(s){switch(s){case"row":return $e(this);case"column":return Xe(this);case void 0:return Ye(this);default:throw new Error(`invalid option: ${s}`)}}mean(s){const e=this.sum(s);switch(s){case"row":{for(let t=0;t<this.rows;t++)e[t]/=this.columns;return e}case"column":{for(let t=0;t<this.columns;t++)e[t]/=this.rows;return e}case void 0:return e/this.size;default:throw new Error(`invalid option: ${s}`)}}variance(s,e={}){if(typeof s=="object"&&(e=s,s=void 0),typeof e!="object")throw new TypeError("options must be an object");const{unbiased:t=!0,mean:n=this.mean(s)}=e;if(typeof t!="boolean")throw new TypeError("unbiased must be a boolean");switch(s){case"row":{if(!G(n))throw new TypeError("mean must be an array");return Ve(this,t,n)}case"column":{if(!G(n))throw new TypeError("mean must be an array");return Je(this,t,n)}case void 0:{if(typeof n!="number")throw new TypeError("mean must be a number");return Ke(this,t,n)}default:throw new Error(`invalid option: ${s}`)}}standardDeviation(s,e){typeof s=="object"&&(e=s,s=void 0);const t=this.variance(s,e);if(s===void 0)return Math.sqrt(t);for(let n=0;n<t.length;n++)t[n]=Math.sqrt(t[n]);return t}center(s,e={}){if(typeof s=="object"&&(e=s,s=void 0),typeof e!="object")throw new TypeError("options must be an object");const{center:t=this.mean(s)}=e;switch(s){case"row":{if(!G(t))throw new TypeError("center must be an array");return We(this,t),this}case"column":{if(!G(t))throw new TypeError("center must be an array");return Ge(this,t),this}case void 0:{if(typeof t!="number")throw new TypeError("center must be a number");return Qe(this,t),this}default:throw new Error(`invalid option: ${s}`)}}scale(s,e={}){if(typeof s=="object"&&(e=s,s=void 0),typeof e!="object")throw new TypeError("options must be an object");let t=e.scale;switch(s){case"row":{if(t===void 0)t=xe(this);else if(!G(t))throw new TypeError("scale must be an array");return Ze(this,t),this}case"column":{if(t===void 0)t=Ae(this);else if(!G(t))throw new TypeError("scale must be an array");return He(this,t),this}case void 0:{if(t===void 0)t=ts(this);else if(typeof t!="number")throw new TypeError("scale must be a number");return es(this,t),this}default:throw new Error(`invalid option: ${s}`)}}toString(s){return re(this,s)}[Symbol.iterator](){return this.entries()}*entries(){for(let s=0;s<this.rows;s++)for(let e=0;e<this.columns;e++)yield[s,e,this.get(s,e)]}*values(){for(let s=0;s<this.rows;s++)for(let e=0;e<this.columns;e++)yield this.get(s,e)}}z.prototype.klass="Matrix",typeof Symbol<"u"&&(z.prototype[Symbol.for("nodejs.util.inspect.custom")]=_e);function le(r,s){return r-s}function ss(r){return r.every(s=>typeof s=="number")}z.random=z.rand,z.randomInt=z.randInt,z.diagonal=z.diag,z.prototype.diagonal=z.prototype.diag,z.identity=z.eye,z.prototype.negate=z.prototype.neg,z.prototype.tensorProduct=z.prototype.kroneckerProduct;let j=(ut=class extends z{constructor(e,t){super();Ht(this,dt);qe(this,"data");if(ut.isMatrix(e))te(this,dt,ee).call(this,e.rows,e.columns),ut.copy(e,this);else if(Number.isInteger(e)&&e>=0)te(this,dt,ee).call(this,e,t);else if(G(e)){const n=e;if(e=n.length,t=e?n[0].length:0,typeof t!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let o=0;o<e;o++){if(n[o].length!==t)throw new RangeError("Inconsistent array dimensions");if(!ss(n[o]))throw new TypeError("Input data contains non-numeric values");this.data.push(Float64Array.from(n[o]))}this.rows=e,this.columns=t}else throw new TypeError("First argument must be a positive number or an array")}set(e,t,n){return this.data[e][t]=n,this}get(e,t){return this.data[e][t]}removeRow(e){return st(this,e),this.data.splice(e,1),this.rows-=1,this}addRow(e,t){return t===void 0&&(t=e,e=this.rows),st(this,e,!0),t=Float64Array.from(ct(this,t)),this.data.splice(e,0,t),this.rows+=1,this}removeColumn(e){nt(this,e);for(let t=0;t<this.rows;t++){const n=new Float64Array(this.columns-1);for(let o=0;o<e;o++)n[o]=this.data[t][o];for(let o=e+1;o<this.columns;o++)n[o-1]=this.data[t][o];this.data[t]=n}return this.columns-=1,this}addColumn(e,t){typeof t>"u"&&(t=e,e=this.columns),nt(this,e,!0),t=ft(this,t);for(let n=0;n<this.rows;n++){const o=new Float64Array(this.columns+1);let i=0;for(;i<e;i++)o[i]=this.data[n][i];for(o[i++]=t[n];i<this.columns+1;i++)o[i]=this.data[n][i-1];this.data[n]=o}return this.columns+=1,this}},dt=new WeakSet,ee=function(e,t){if(this.data=[],Number.isInteger(t)&&t>=0)for(let n=0;n<e;n++)this.data.push(new Float64Array(t));else throw new TypeError("nColumns must be a positive integer");this.rows=e,this.columns=t},ut);Be(z,j);const Ft=class Ft extends z{constructor(e){super();Ht(this,x);if(j.isMatrix(e)){if(!e.isSymmetric())throw new TypeError("not symmetric data");Bt(this,x,j.copy(e,new j(e.rows,e.rows)))}else if(Number.isInteger(e)&&e>=0)Bt(this,x,new j(e,e));else if(Bt(this,x,new j(e)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return ot(this,x).size}get rows(){return ot(this,x).rows}get columns(){return ot(this,x).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(e){return j.isMatrix(e)&&e.klassType==="SymmetricMatrix"}static zeros(e){return new this(e)}static ones(e){return new this(e).fill(1)}clone(){const e=new Ft(this.diagonalSize);for(const[t,n,o]of this.upperRightEntries())e.set(t,n,o);return e}toMatrix(){return new j(this)}get(e,t){return ot(this,x).get(e,t)}set(e,t,n){return ot(this,x).set(e,t,n),ot(this,x).set(t,e,n),this}removeCross(e){return ot(this,x).removeRow(e),ot(this,x).removeColumn(e),this}addCross(e,t){t===void 0&&(t=e,e=this.diagonalSize);const n=t.slice();return n.splice(e,1),ot(this,x).addRow(e,n),ot(this,x).addColumn(e,t),this}applyMask(e){if(e.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const t=[];for(const[n,o]of e.entries())o||t.push(n);t.reverse();for(const n of t)this.removeCross(n);return this}toCompact(){const{diagonalSize:e}=this,t=new Array(e*(e+1)/2);for(let n=0,o=0,i=0;i<t.length;i++)t[i]=this.get(o,n),++n>=e&&(n=++o);return t}static fromCompact(e){const t=e.length,n=(Math.sqrt(8*t+1)-1)/2;if(!Number.isInteger(n))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(e)}`);const o=new Ft(n);for(let i=0,h=0,l=0;l<t;l++)o.set(i,h,e[l]),++i>=n&&(i=++h);return o}*upperRightEntries(){for(let e=0,t=0;e<this.diagonalSize;void 0){const n=this.get(e,t);yield[e,t,n],++t>=this.diagonalSize&&(t=++e)}}*upperRightValues(){for(let e=0,t=0;e<this.diagonalSize;void 0)yield this.get(e,t),++t>=this.diagonalSize&&(t=++e)}};x=new WeakMap;let lt=Ft;lt.prototype.klassType="SymmetricMatrix";class vt extends lt{static isDistanceMatrix(s){return lt.isSymmetricMatrix(s)&&s.klassSubType==="DistanceMatrix"}constructor(s){if(super(s),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(s,e,t){return s===e&&(t=0),super.set(s,e,t)}addCross(s,e){return e===void 0&&(e=s,s=this.diagonalSize),e=e.slice(),e[s]=0,super.addCross(s,e)}toSymmetricMatrix(){return new lt(this)}clone(){const s=new vt(this.diagonalSize);for(const[e,t,n]of this.upperRightEntries())e!==t&&s.set(e,t,n);return s}toCompact(){const{diagonalSize:s}=this,e=(s-1)*s/2,t=new Array(e);for(let n=1,o=0,i=0;i<t.length;i++)t[i]=this.get(o,n),++n>=s&&(n=++o+1);return t}static fromCompact(s){const e=s.length;if(e===0)return new this(0);const t=(Math.sqrt(8*e+1)+1)/2;if(!Number.isInteger(t))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(s)}`);const n=new this(t);for(let o=1,i=0,h=0;h<e;h++)n.set(o,i,s[h]),++o>=t&&(o=++i+1);return n}}vt.prototype.klassSubType="DistanceMatrix";class rt extends z{constructor(s,e,t){super(),this.matrix=s,this.rows=e,this.columns=t}}class ns extends rt{constructor(s,e){nt(s,e),super(s,s.rows,1),this.column=e}set(s,e,t){return this.matrix.set(s,this.column,t),this}get(s){return this.matrix.get(s,this.column)}}class os extends rt{constructor(s,e){Ot(s,e),super(s,s.rows,e.length),this.columnIndices=e}set(s,e,t){return this.matrix.set(s,this.columnIndices[e],t),this}get(s,e){return this.matrix.get(s,this.columnIndices[e])}}class rs extends rt{constructor(s){super(s,s.rows,s.columns)}set(s,e,t){return this.matrix.set(s,this.columns-e-1,t),this}get(s,e){return this.matrix.get(s,this.columns-e-1)}}class is extends rt{constructor(s){super(s,s.rows,s.columns)}set(s,e,t){return this.matrix.set(this.rows-s-1,e,t),this}get(s,e){return this.matrix.get(this.rows-s-1,e)}}class ls extends rt{constructor(s,e){st(s,e),super(s,1,s.columns),this.row=e}set(s,e,t){return this.matrix.set(this.row,e,t),this}get(s,e){return this.matrix.get(this.row,e)}}class hs extends rt{constructor(s,e){Lt(s,e),super(s,e.length,s.columns),this.rowIndices=e}set(s,e,t){return this.matrix.set(this.rowIndices[s],e,t),this}get(s,e){return this.matrix.get(this.rowIndices[s],e)}}class Nt extends rt{constructor(s,e,t){Lt(s,e),Ot(s,t),super(s,e.length,t.length),this.rowIndices=e,this.columnIndices=t}set(s,e,t){return this.matrix.set(this.rowIndices[s],this.columnIndices[e],t),this}get(s,e){return this.matrix.get(this.rowIndices[s],this.columnIndices[e])}}class us extends rt{constructor(s,e,t,n,o){Ut(s,e,t,n,o),super(s,t-e+1,o-n+1),this.startRow=e,this.startColumn=n}set(s,e,t){return this.matrix.set(this.startRow+s,this.startColumn+e,t),this}get(s,e){return this.matrix.get(this.startRow+s,this.startColumn+e)}}class cs extends rt{constructor(s){super(s,s.columns,s.rows)}set(s,e,t){return this.matrix.set(e,s,t),this}get(s,e){return this.matrix.get(e,s)}}class he extends z{constructor(s,e={}){const{rows:t=1}=e;if(s.length%t!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=t,this.columns=s.length/t,this.data=s}set(s,e,t){let n=this._calculateIndex(s,e);return this.data[n]=t,this}get(s,e){let t=this._calculateIndex(s,e);return this.data[t]}_calculateIndex(s,e){return s*this.columns+e}}class et extends z{constructor(s){super(),this.data=s,this.rows=s.length,this.columns=s[0].length}set(s,e,t){return this.data[s][e]=t,this}get(s,e){return this.data[s][e]}}function fs(r,s){if(G(r))return r[0]&&G(r[0])?new et(r):new he(r,s);throw new Error("the argument is not an array")}class qt{constructor(s){s=et.checkMatrix(s);let e=s.clone(),t=e.rows,n=e.columns,o=new Float64Array(t),i=1,h,l,u,f,c,g,M,w,p;for(h=0;h<t;h++)o[h]=h;for(w=new Float64Array(t),l=0;l<n;l++){for(h=0;h<t;h++)w[h]=e.get(h,l);for(h=0;h<t;h++){for(p=Math.min(h,l),c=0,u=0;u<p;u++)c+=e.get(h,u)*w[u];w[h]-=c,e.set(h,l,w[h])}for(f=l,h=l+1;h<t;h++)Math.abs(w[h])>Math.abs(w[f])&&(f=h);if(f!==l){for(u=0;u<n;u++)g=e.get(f,u),e.set(f,u,e.get(l,u)),e.set(l,u,g);M=o[f],o[f]=o[l],o[l]=M,i=-i}if(l<t&&e.get(l,l)!==0)for(h=l+1;h<t;h++)e.set(h,l,e.get(h,l)/e.get(l,l))}this.LU=e,this.pivotVector=o,this.pivotSign=i}isSingular(){let s=this.LU,e=s.columns;for(let t=0;t<e;t++)if(s.get(t,t)===0)return!0;return!1}solve(s){s=j.checkMatrix(s);let e=this.LU;if(e.rows!==s.rows)throw new Error("Invalid matrix dimensions");if(this.isSingular())throw new Error("LU matrix is singular");let n=s.columns,o=s.subMatrixRow(this.pivotVector,0,n-1),i=e.columns,h,l,u;for(u=0;u<i;u++)for(h=u+1;h<i;h++)for(l=0;l<n;l++)o.set(h,l,o.get(h,l)-o.get(u,l)*e.get(h,u));for(u=i-1;u>=0;u--){for(l=0;l<n;l++)o.set(u,l,o.get(u,l)/e.get(u,u));for(h=0;h<u;h++)for(l=0;l<n;l++)o.set(h,l,o.get(h,l)-o.get(u,l)*e.get(h,u))}return o}get determinant(){let s=this.LU;if(!s.isSquare())throw new Error("Matrix must be square");let e=this.pivotSign,t=s.columns;for(let n=0;n<t;n++)e*=s.get(n,n);return e}get lowerTriangularMatrix(){let s=this.LU,e=s.rows,t=s.columns,n=new j(e,t);for(let o=0;o<e;o++)for(let i=0;i<t;i++)o>i?n.set(o,i,s.get(o,i)):o===i?n.set(o,i,1):n.set(o,i,0);return n}get upperTriangularMatrix(){let s=this.LU,e=s.rows,t=s.columns,n=new j(e,t);for(let o=0;o<e;o++)for(let i=0;i<t;i++)o<=i?n.set(o,i,s.get(o,i)):n.set(o,i,0);return n}get pivotPermutationVector(){return Array.from(this.pivotVector)}}function $t(r){const s=r.data,e=r.rows;for(let t=0;t<e;t++){const n=s[t];for(let o=t+1;o<e;o++){const i=n[o];n[o]=s[o][t],s[o][t]=i}}return r}function it(r,s){let e=0;return Math.abs(r)>Math.abs(s)?(e=s/r,Math.abs(r)*Math.sqrt(1+e*e)):s!==0?(e=r/s,Math.abs(s)*Math.sqrt(1+e*e)):0}class Xt{constructor(s){s=et.checkMatrix(s);let e=s.clone(),t=s.rows,n=s.columns,o=new Float64Array(n),i,h,l,u;for(l=0;l<n;l++){let f=0;for(i=l;i<t;i++)f=it(f,e.get(i,l));if(f!==0){for(e.get(l,l)<0&&(f=-f),i=l;i<t;i++)e.set(i,l,e.get(i,l)/f);for(e.set(l,l,e.get(l,l)+1),h=l+1;h<n;h++){for(u=0,i=l;i<t;i++)u+=e.get(i,l)*e.get(i,h);for(u=-u/e.get(l,l),i=l;i<t;i++)e.set(i,h,e.get(i,h)+u*e.get(i,l))}}o[l]=-f}this.QR=e,this.Rdiag=o}solve(s){s=j.checkMatrix(s);let e=this.QR,t=e.rows;if(s.rows!==t)throw new Error("Matrix row dimensions must agree");if(!this.isFullRank())throw new Error("Matrix is rank deficient");let n=s.columns,o=s.clone(),i=e.columns,h,l,u,f;for(u=0;u<i;u++)for(l=0;l<n;l++){for(f=0,h=u;h<t;h++)f+=e.get(h,u)*o.get(h,l);for(f=-f/e.get(u,u),h=u;h<t;h++)o.set(h,l,o.get(h,l)+f*e.get(h,u))}for(u=i-1;u>=0;u--){for(l=0;l<n;l++)o.set(u,l,o.get(u,l)/this.Rdiag[u]);for(h=0;h<u;h++)for(l=0;l<n;l++)o.set(h,l,o.get(h,l)-o.get(u,l)*e.get(h,u))}return o.subMatrix(0,i-1,0,n-1)}isFullRank(){let s=this.QR.columns;for(let e=0;e<s;e++)if(this.Rdiag[e]===0)return!1;return!0}get upperTriangularMatrix(){let s=this.QR,e=s.columns,t=new j(e,e),n,o;for(n=0;n<e;n++)for(o=0;o<e;o++)n<o?t.set(n,o,s.get(n,o)):n===o?t.set(n,o,this.Rdiag[n]):t.set(n,o,0);return t}get orthogonalMatrix(){let s=this.QR,e=s.rows,t=s.columns,n=new j(e,t),o,i,h,l;for(h=t-1;h>=0;h--){for(o=0;o<e;o++)n.set(o,h,0);for(n.set(h,h,1),i=h;i<t;i++)if(s.get(h,h)!==0){for(l=0,o=h;o<e;o++)l+=s.get(o,h)*n.get(o,i);for(l=-l/s.get(h,h),o=h;o<e;o++)n.set(o,i,n.get(o,i)+l*s.get(o,h))}}return n}}class gt{constructor(s,e={}){if(s=et.checkMatrix(s),s.isEmpty())throw new Error("Matrix must be non-empty");let t=s.rows,n=s.columns;const{computeLeftSingularVectors:o=!0,computeRightSingularVectors:i=!0,autoTranspose:h=!1}=e;let l=!!o,u=!!i,f=!1,c;if(t<n)if(!h)console.warn("Computing SVD on a matrix with more columns than rows. Consider enabling autoTranspose"),c=s.transpose();else{c=s.clone(),t=s.columns,n=s.rows,f=!0;let m=l;l=u,u=m}else c=s.transpose();let g=Math.min(t,n),M=Math.min(t+1,n),w=new Float64Array(M),p=new j(g,t),y=new j(n,n),a=new Float64Array(n),S=new Float64Array(t),d=new Float64Array(M);for(let m=0;m<M;m++)d[m]=m;let k=Math.min(t-1,n),R=Math.max(0,Math.min(n-2,t)),q=Math.max(k,R);for(let m=0;m<q;m++){if(m<k){w[m]=0;for(let b=m;b<t;b++)w[m]=it(w[m],c.get(m,b));if(w[m]!==0){c.get(m,m)<0&&(w[m]=-w[m]);for(let b=m;b<t;b++)c.set(m,b,c.get(m,b)/w[m]);c.set(m,m,c.get(m,m)+1)}w[m]=-w[m]}for(let b=m+1;b<n;b++){if(m<k&&w[m]!==0){let I=0;for(let E=m;E<t;E++)I+=c.get(m,E)*c.get(b,E);I=-I/c.get(m,m);for(let E=m;E<t;E++)c.set(b,E,c.get(b,E)+I*c.get(m,E))}a[b]=c.get(b,m)}if(l&&m<k)for(let b=m;b<t;b++)p.set(m,b,c.get(m,b));if(m<R){a[m]=0;for(let b=m+1;b<n;b++)a[m]=it(a[m],a[b]);if(a[m]!==0){a[m+1]<0&&(a[m]=0-a[m]);for(let b=m+1;b<n;b++)a[b]/=a[m];a[m+1]+=1}if(a[m]=-a[m],m+1<t&&a[m]!==0){for(let b=m+1;b<t;b++)S[b]=0;for(let b=m+1;b<t;b++)for(let I=m+1;I<n;I++)S[b]+=a[I]*c.get(I,b);for(let b=m+1;b<n;b++){let I=-a[b]/a[m+1];for(let E=m+1;E<t;E++)c.set(b,E,c.get(b,E)+I*S[E])}}if(u)for(let b=m+1;b<n;b++)y.set(m,b,a[b])}}let v=Math.min(n,t+1);if(k<n&&(w[k]=c.get(k,k)),t<v&&(w[v-1]=0),R+1<v&&(a[R]=c.get(v-1,R)),a[v-1]=0,l){for(let m=k;m<g;m++){for(let b=0;b<t;b++)p.set(m,b,0);p.set(m,m,1)}for(let m=k-1;m>=0;m--)if(w[m]!==0){for(let b=m+1;b<g;b++){let I=0;for(let E=m;E<t;E++)I+=p.get(m,E)*p.get(b,E);I=-I/p.get(m,m);for(let E=m;E<t;E++)p.set(b,E,p.get(b,E)+I*p.get(m,E))}for(let b=m;b<t;b++)p.set(m,b,-p.get(m,b));p.set(m,m,1+p.get(m,m));for(let b=0;b<m-1;b++)p.set(m,b,0)}else{for(let b=0;b<t;b++)p.set(m,b,0);p.set(m,m,1)}}if(u)for(let m=n-1;m>=0;m--){if(m<R&&a[m]!==0)for(let b=m+1;b<n;b++){let I=0;for(let E=m+1;E<n;E++)I+=y.get(m,E)*y.get(b,E);I=-I/y.get(m,m+1);for(let E=m+1;E<n;E++)y.set(b,E,y.get(b,E)+I*y.get(m,E))}for(let b=0;b<n;b++)y.set(m,b,0);y.set(m,m,1)}let N=v-1,F=Number.EPSILON;for(;v>0;){let m,b;for(m=v-2;m>=-1&&m!==-1;m--){const I=Number.MIN_VALUE+F*Math.abs(w[m]+Math.abs(w[m+1]));if(Math.abs(a[m])<=I||Number.isNaN(a[m])){a[m]=0;break}}if(m===v-2)b=4;else{let I;for(I=v-1;I>=m&&I!==m;I--){let E=(I!==v?Math.abs(a[I]):0)+(I!==m+1?Math.abs(a[I-1]):0);if(Math.abs(w[I])<=F*E){w[I]=0;break}}I===m?b=3:I===v-1?b=1:(b=2,m=I)}switch(m++,b){case 1:{let I=a[v-2];a[v-2]=0;for(let E=v-2;E>=m;E--){let C=it(w[E],I),P=w[E]/C,B=I/C;if(w[E]=C,E!==m&&(I=-B*a[E-1],a[E-1]=P*a[E-1]),u)for(let L=0;L<n;L++)C=P*y.get(E,L)+B*y.get(v-1,L),y.set(v-1,L,-B*y.get(E,L)+P*y.get(v-1,L)),y.set(E,L,C)}break}case 2:{let I=a[m-1];a[m-1]=0;for(let E=m;E<v;E++){let C=it(w[E],I),P=w[E]/C,B=I/C;if(w[E]=C,I=-B*a[E],a[E]=P*a[E],l)for(let L=0;L<t;L++)C=P*p.get(E,L)+B*p.get(m-1,L),p.set(m-1,L,-B*p.get(E,L)+P*p.get(m-1,L)),p.set(E,L,C)}break}case 3:{const I=Math.max(Math.abs(w[v-1]),Math.abs(w[v-2]),Math.abs(a[v-2]),Math.abs(w[m]),Math.abs(a[m])),E=w[v-1]/I,C=w[v-2]/I,P=a[v-2]/I,B=w[m]/I,L=a[m]/I,W=((C+E)*(C-E)+P*P)/2,tt=E*P*(E*P);let T=0;(W!==0||tt!==0)&&(W<0?T=0-Math.sqrt(W*W+tt):T=Math.sqrt(W*W+tt),T=tt/(W+T));let V=(B+E)*(B-E)+T,A=B*L;for(let D=m;D<v-1;D++){let $=it(V,A);$===0&&($=Number.MIN_VALUE);let J=V/$,Q=A/$;if(D!==m&&(a[D-1]=$),V=J*w[D]+Q*a[D],a[D]=J*a[D]-Q*w[D],A=Q*w[D+1],w[D+1]=J*w[D+1],u)for(let X=0;X<n;X++)$=J*y.get(D,X)+Q*y.get(D+1,X),y.set(D+1,X,-Q*y.get(D,X)+J*y.get(D+1,X)),y.set(D,X,$);if($=it(V,A),$===0&&($=Number.MIN_VALUE),J=V/$,Q=A/$,w[D]=$,V=J*a[D]+Q*w[D+1],w[D+1]=-Q*a[D]+J*w[D+1],A=Q*a[D+1],a[D+1]=J*a[D+1],l&&D<t-1)for(let X=0;X<t;X++)$=J*p.get(D,X)+Q*p.get(D+1,X),p.set(D+1,X,-Q*p.get(D,X)+J*p.get(D+1,X)),p.set(D,X,$)}a[v-2]=V;break}case 4:{if(w[m]<=0&&(w[m]=w[m]<0?-w[m]:0,u))for(let I=0;I<=N;I++)y.set(m,I,-y.get(m,I));for(;m<N&&!(w[m]>=w[m+1]);){let I=w[m];if(w[m]=w[m+1],w[m+1]=I,u&&m<n-1)for(let E=0;E<n;E++)I=y.get(m+1,E),y.set(m+1,E,y.get(m,E)),y.set(m,E,I);if(l&&m<t-1)for(let E=0;E<t;E++)I=p.get(m+1,E),p.set(m+1,E,p.get(m,E)),p.set(m,E,I);m++}v--;break}}}if(p=p.isSquare()?$t(p):p.transpose(),y=$t(y),f){let m=y;y=p,p=m}this.m=t,this.n=n,this.s=w,this.U=p,this.V=y}solve(s){let e=s,t=this.threshold,n=this.s.length,o=j.zeros(n,n);for(let g=0;g<n;g++)Math.abs(this.s[g])<=t?o.set(g,g,0):o.set(g,g,1/this.s[g]);let i=this.U,h=this.rightSingularVectors,l=h.mmul(o),u=h.rows,f=i.rows,c=j.zeros(u,f);for(let g=0;g<u;g++)for(let M=0;M<f;M++){let w=0;for(let p=0;p<n;p++)w+=l.get(g,p)*i.get(M,p);c.set(g,M,w)}return c.mmul(e)}solveForDiagonal(s){return this.solve(j.diag(s))}inverse(){let s=this.V,e=this.threshold,t=s.rows,n=s.columns,o=new j(t,this.s.length);for(let f=0;f<t;f++)for(let c=0;c<n;c++)Math.abs(this.s[c])>e&&o.set(f,c,s.get(f,c)/this.s[c]);let i=this.U,h=i.rows,l=i.columns,u=new j(t,h);for(let f=0;f<t;f++)for(let c=0;c<h;c++){let g=0;for(let M=0;M<l;M++)g+=o.get(f,M)*i.get(c,M);u.set(f,c,g)}return u}get condition(){return this.s[0]/this.s[Math.min(this.m,this.n)-1]}get norm2(){return this.s[0]}get rank(){let s=Math.max(this.m,this.n)*this.s[0]*Number.EPSILON,e=0,t=this.s;for(let n=0,o=t.length;n<o;n++)t[n]>s&&e++;return e}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return j.diag(this.s)}}function as(r,s=!1){return r=et.checkMatrix(r),s?new gt(r).inverse():ue(r,j.eye(r.rows))}function ue(r,s,e=!1){return r=et.checkMatrix(r),s=et.checkMatrix(s),e?new gt(r).solve(s):r.isSquare()?new qt(r).solve(s):new Xt(r).solve(s)}function Tt(r){if(r=j.checkMatrix(r),r.isSquare()){if(r.columns===0)return 1;let s,e,t,n;if(r.columns===2)return s=r.get(0,0),e=r.get(0,1),t=r.get(1,0),n=r.get(1,1),s*n-e*t;if(r.columns===3){let o,i,h;return o=new Nt(r,[1,2],[1,2]),i=new Nt(r,[1,2],[0,2]),h=new Nt(r,[1,2],[0,1]),s=r.get(0,0),e=r.get(0,1),t=r.get(0,2),s*Tt(o)-e*Tt(i)+t*Tt(h)}else return new qt(r).determinant}else throw Error("determinant can only be calculated for a square matrix")}function gs(r,s){let e=[];for(let t=0;t<r;t++)t!==s&&e.push(t);return e}function ms(r,s,e,t=1e-9,n=1e-9){if(r>n)return new Array(s.rows+1).fill(0);{let o=s.addRow(e,[0]);for(let i=0;i<o.rows;i++)Math.abs(o.get(i,0))<t&&o.set(i,0,0);return o.to1DArray()}}function ws(r,s={}){const{thresholdValue:e=1e-9,thresholdError:t=1e-9}=s;r=j.checkMatrix(r);let n=r.rows,o=new j(n,n);for(let i=0;i<n;i++){let h=j.columnVector(r.getRow(i)),l=r.subMatrixRow(gs(n,i)).transpose(),f=new gt(l).solve(h),c=j.abs(h).max()||1,g=j.sub(h,l.mmul(f)).abs().max()/c;o.setRow(i,ms(g,f,i,e,t))}return o}function ps(r,s=Number.EPSILON){if(r=j.checkMatrix(r),r.isEmpty())return r.transpose();let e=new gt(r,{autoTranspose:!0}),t=e.leftSingularVectors,n=e.rightSingularVectors,o=e.diagonal;const i=s*Math.max(r.rows,r.columns)*o[0];for(let h=0;h<o.length;h++)Math.abs(o[h])>i?o[h]=1/o[h]:o[h]=0;return n.mmul(j.diag(o).mmul(t.transpose()))}function ds(r,s=r,e={}){r=new j(r);let t=!1;if(typeof s=="object"&&!j.isMatrix(s)&&!G(s)?(e=s,s=r,t=!0):s=new j(s),r.rows!==s.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:n=!0}=e;n&&(r=r.center("column"),t||(s=s.center("column")));const o=r.transposeMultiply(s);for(let i=0;i<o.rows;i++)for(let h=0;h<o.columns;h++)o.set(i,h,o.get(i,h)*(1/(r.rows-1)));return o}function ys(r,s=r,e={}){r=new j(r);let t=!1;if(typeof s=="object"&&!j.isMatrix(s)&&!G(s)?(e=s,s=r,t=!0):s=new j(s),r.rows!==s.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:n=!0,scale:o=!0}=e;n&&(r.center("column"),t||s.center("column")),o&&(r.scale("column"),t||s.scale("column"));const i=r.standardDeviation("column",{unbiased:!0}),h=t?i:s.standardDeviation("column",{unbiased:!0}),l=r.transposeMultiply(s);for(let u=0;u<l.rows;u++)for(let f=0;f<l.columns;f++)l.set(u,f,l.get(u,f)*(1/(i[u]*h[f]))*(1/(r.rows-1)));return l}class ce{constructor(s,e={}){const{assumeSymmetric:t=!1}=e;if(s=et.checkMatrix(s),!s.isSquare())throw new Error("Matrix is not a square matrix");if(s.isEmpty())throw new Error("Matrix must be non-empty");let n=s.columns,o=new j(n,n),i=new Float64Array(n),h=new Float64Array(n),l=s,u,f,c=!1;if(t?c=!0:c=s.isSymmetric(),c){for(u=0;u<n;u++)for(f=0;f<n;f++)o.set(f,u,l.get(u,f));Ms(n,h,i,o),bs(n,h,i,o),$t(o)}else{let g=new j(n,n),M=new Float64Array(n);for(f=0;f<n;f++)for(u=0;u<n;u++)g.set(u,f,l.get(u,f));Ss(n,g,M,o),Es(n,h,i,o,g)}this.n=n,this.e=h,this.d=i,this.V=o}get realEigenvalues(){return Array.from(this.d)}get imaginaryEigenvalues(){return Array.from(this.e)}get eigenvectorMatrix(){return this.V}get diagonalMatrix(){let s=this.n,e=this.e,t=this.d,n=new j(s,s),o,i;for(o=0;o<s;o++){for(i=0;i<s;i++)n.set(o,i,0);n.set(o,o,t[o]),e[o]>0?n.set(o,o+1,e[o]):e[o]<0&&n.set(o,o-1,e[o])}return n}}function Ms(r,s,e,t){let n,o,i,h,l,u,f,c;for(l=0;l<r;l++)e[l]=t.get(l,r-1);for(h=r-1;h>0;h--){for(c=0,i=0,u=0;u<h;u++)c=c+Math.abs(e[u]);if(c===0)for(s[h]=e[h-1],l=0;l<h;l++)e[l]=t.get(l,h-1),t.set(l,h,0),t.set(h,l,0);else{for(u=0;u<h;u++)e[u]/=c,i+=e[u]*e[u];for(n=e[h-1],o=Math.sqrt(i),n>0&&(o=-o),s[h]=c*o,i=i-n*o,e[h-1]=n-o,l=0;l<h;l++)s[l]=0;for(l=0;l<h;l++){for(n=e[l],t.set(h,l,n),o=s[l]+t.get(l,l)*n,u=l+1;u<=h-1;u++)o+=t.get(l,u)*e[u],s[u]+=t.get(l,u)*n;s[l]=o}for(n=0,l=0;l<h;l++)s[l]/=i,n+=s[l]*e[l];for(f=n/(i+i),l=0;l<h;l++)s[l]-=f*e[l];for(l=0;l<h;l++){for(n=e[l],o=s[l],u=l;u<=h-1;u++)t.set(l,u,t.get(l,u)-(n*s[u]+o*e[u]));e[l]=t.get(l,h-1),t.set(l,h,0)}}e[h]=i}for(h=0;h<r-1;h++){if(t.set(h,r-1,t.get(h,h)),t.set(h,h,1),i=e[h+1],i!==0){for(u=0;u<=h;u++)e[u]=t.get(h+1,u)/i;for(l=0;l<=h;l++){for(o=0,u=0;u<=h;u++)o+=t.get(h+1,u)*t.get(l,u);for(u=0;u<=h;u++)t.set(l,u,t.get(l,u)-o*e[u])}}for(u=0;u<=h;u++)t.set(h+1,u,0)}for(l=0;l<r;l++)e[l]=t.get(l,r-1),t.set(l,r-1,0);t.set(r-1,r-1,1),s[0]=0}function bs(r,s,e,t){let n,o,i,h,l,u,f,c,g,M,w,p,y,a,S,d;for(i=1;i<r;i++)s[i-1]=s[i];s[r-1]=0;let k=0,R=0,q=Number.EPSILON;for(u=0;u<r;u++){for(R=Math.max(R,Math.abs(e[u])+Math.abs(s[u])),f=u;f<r&&!(Math.abs(s[f])<=q*R);)f++;if(f>u)do{for(n=e[u],c=(e[u+1]-n)/(2*s[u]),g=it(c,1),c<0&&(g=-g),e[u]=s[u]/(c+g),e[u+1]=s[u]*(c+g),M=e[u+1],o=n-e[u],i=u+2;i<r;i++)e[i]-=o;for(k=k+o,c=e[f],w=1,p=w,y=w,a=s[u+1],S=0,d=0,i=f-1;i>=u;i--)for(y=p,p=w,d=S,n=w*s[i],o=w*c,g=it(c,s[i]),s[i+1]=S*g,S=s[i]/g,w=c/g,c=w*e[i]-S*n,e[i+1]=o+S*(w*n+S*e[i]),l=0;l<r;l++)o=t.get(i+1,l),t.set(i+1,l,S*t.get(i,l)+w*o),t.set(i,l,w*t.get(i,l)-S*o);c=-S*d*y*a*s[u]/M,s[u]=S*c,e[u]=w*c}while(Math.abs(s[u])>q*R);e[u]=e[u]+k,s[u]=0}for(i=0;i<r-1;i++){for(l=i,c=e[i],h=i+1;h<r;h++)e[h]<c&&(l=h,c=e[h]);if(l!==i)for(e[l]=e[i],e[i]=c,h=0;h<r;h++)c=t.get(i,h),t.set(i,h,t.get(l,h)),t.set(l,h,c)}}function Ss(r,s,e,t){let n=0,o=r-1,i,h,l,u,f,c,g;for(c=n+1;c<=o-1;c++){for(g=0,u=c;u<=o;u++)g=g+Math.abs(s.get(u,c-1));if(g!==0){for(l=0,u=o;u>=c;u--)e[u]=s.get(u,c-1)/g,l+=e[u]*e[u];for(h=Math.sqrt(l),e[c]>0&&(h=-h),l=l-e[c]*h,e[c]=e[c]-h,f=c;f<r;f++){for(i=0,u=o;u>=c;u--)i+=e[u]*s.get(u,f);for(i=i/l,u=c;u<=o;u++)s.set(u,f,s.get(u,f)-i*e[u])}for(u=0;u<=o;u++){for(i=0,f=o;f>=c;f--)i+=e[f]*s.get(u,f);for(i=i/l,f=c;f<=o;f++)s.set(u,f,s.get(u,f)-i*e[f])}e[c]=g*e[c],s.set(c,c-1,g*h)}}for(u=0;u<r;u++)for(f=0;f<r;f++)t.set(u,f,u===f?1:0);for(c=o-1;c>=n+1;c--)if(s.get(c,c-1)!==0){for(u=c+1;u<=o;u++)e[u]=s.get(u,c-1);for(f=c;f<=o;f++){for(h=0,u=c;u<=o;u++)h+=e[u]*t.get(u,f);for(h=h/e[c]/s.get(c,c-1),u=c;u<=o;u++)t.set(u,f,t.get(u,f)+h*e[u])}}}function Es(r,s,e,t,n){let o=r-1,i=0,h=r-1,l=Number.EPSILON,u=0,f=0,c=0,g=0,M=0,w=0,p=0,y=0,a,S,d,k,R,q,v,N,F,m,b,I,E,C,P;for(a=0;a<r;a++)for((a<i||a>h)&&(e[a]=n.get(a,a),s[a]=0),S=Math.max(a-1,0);S<r;S++)f=f+Math.abs(n.get(a,S));for(;o>=i;){for(k=o;k>i&&(w=Math.abs(n.get(k-1,k-1))+Math.abs(n.get(k,k)),w===0&&(w=f),!(Math.abs(n.get(k,k-1))<l*w));)k--;if(k===o)n.set(o,o,n.get(o,o)+u),e[o]=n.get(o,o),s[o]=0,o--,y=0;else if(k===o-1){if(v=n.get(o,o-1)*n.get(o-1,o),c=(n.get(o-1,o-1)-n.get(o,o))/2,g=c*c+v,p=Math.sqrt(Math.abs(g)),n.set(o,o,n.get(o,o)+u),n.set(o-1,o-1,n.get(o-1,o-1)+u),N=n.get(o,o),g>=0){for(p=c>=0?c+p:c-p,e[o-1]=N+p,e[o]=e[o-1],p!==0&&(e[o]=N-v/p),s[o-1]=0,s[o]=0,N=n.get(o,o-1),w=Math.abs(N)+Math.abs(p),c=N/w,g=p/w,M=Math.sqrt(c*c+g*g),c=c/M,g=g/M,S=o-1;S<r;S++)p=n.get(o-1,S),n.set(o-1,S,g*p+c*n.get(o,S)),n.set(o,S,g*n.get(o,S)-c*p);for(a=0;a<=o;a++)p=n.get(a,o-1),n.set(a,o-1,g*p+c*n.get(a,o)),n.set(a,o,g*n.get(a,o)-c*p);for(a=i;a<=h;a++)p=t.get(a,o-1),t.set(a,o-1,g*p+c*t.get(a,o)),t.set(a,o,g*t.get(a,o)-c*p)}else e[o-1]=N+c,e[o]=N+c,s[o-1]=p,s[o]=-p;o=o-2,y=0}else{if(N=n.get(o,o),F=0,v=0,k<o&&(F=n.get(o-1,o-1),v=n.get(o,o-1)*n.get(o-1,o)),y===10){for(u+=N,a=i;a<=o;a++)n.set(a,a,n.get(a,a)-N);w=Math.abs(n.get(o,o-1))+Math.abs(n.get(o-1,o-2)),N=F=.75*w,v=-.4375*w*w}if(y===30&&(w=(F-N)/2,w=w*w+v,w>0)){for(w=Math.sqrt(w),F<N&&(w=-w),w=N-v/((F-N)/2+w),a=i;a<=o;a++)n.set(a,a,n.get(a,a)-w);u+=w,N=F=v=.964}for(y=y+1,R=o-2;R>=k&&(p=n.get(R,R),M=N-p,w=F-p,c=(M*w-v)/n.get(R+1,R)+n.get(R,R+1),g=n.get(R+1,R+1)-p-M-w,M=n.get(R+2,R+1),w=Math.abs(c)+Math.abs(g)+Math.abs(M),c=c/w,g=g/w,M=M/w,!(R===k||Math.abs(n.get(R,R-1))*(Math.abs(g)+Math.abs(M))<l*(Math.abs(c)*(Math.abs(n.get(R-1,R-1))+Math.abs(p)+Math.abs(n.get(R+1,R+1))))));)R--;for(a=R+2;a<=o;a++)n.set(a,a-2,0),a>R+2&&n.set(a,a-3,0);for(d=R;d<=o-1&&(C=d!==o-1,d!==R&&(c=n.get(d,d-1),g=n.get(d+1,d-1),M=C?n.get(d+2,d-1):0,N=Math.abs(c)+Math.abs(g)+Math.abs(M),N!==0&&(c=c/N,g=g/N,M=M/N)),N!==0);d++)if(w=Math.sqrt(c*c+g*g+M*M),c<0&&(w=-w),w!==0){for(d!==R?n.set(d,d-1,-w*N):k!==R&&n.set(d,d-1,-n.get(d,d-1)),c=c+w,N=c/w,F=g/w,p=M/w,g=g/c,M=M/c,S=d;S<r;S++)c=n.get(d,S)+g*n.get(d+1,S),C&&(c=c+M*n.get(d+2,S),n.set(d+2,S,n.get(d+2,S)-c*p)),n.set(d,S,n.get(d,S)-c*N),n.set(d+1,S,n.get(d+1,S)-c*F);for(a=0;a<=Math.min(o,d+3);a++)c=N*n.get(a,d)+F*n.get(a,d+1),C&&(c=c+p*n.get(a,d+2),n.set(a,d+2,n.get(a,d+2)-c*M)),n.set(a,d,n.get(a,d)-c),n.set(a,d+1,n.get(a,d+1)-c*g);for(a=i;a<=h;a++)c=N*t.get(a,d)+F*t.get(a,d+1),C&&(c=c+p*t.get(a,d+2),t.set(a,d+2,t.get(a,d+2)-c*M)),t.set(a,d,t.get(a,d)-c),t.set(a,d+1,t.get(a,d+1)-c*g)}}}if(f!==0){for(o=r-1;o>=0;o--)if(c=e[o],g=s[o],g===0)for(k=o,n.set(o,o,1),a=o-1;a>=0;a--){for(v=n.get(a,a)-c,M=0,S=k;S<=o;S++)M=M+n.get(a,S)*n.get(S,o);if(s[a]<0)p=v,w=M;else if(k=a,s[a]===0?n.set(a,o,v!==0?-M/v:-M/(l*f)):(N=n.get(a,a+1),F=n.get(a+1,a),g=(e[a]-c)*(e[a]-c)+s[a]*s[a],q=(N*w-p*M)/g,n.set(a,o,q),n.set(a+1,o,Math.abs(N)>Math.abs(p)?(-M-v*q)/N:(-w-F*q)/p)),q=Math.abs(n.get(a,o)),l*q*q>1)for(S=a;S<=o;S++)n.set(S,o,n.get(S,o)/q)}else if(g<0)for(k=o-1,Math.abs(n.get(o,o-1))>Math.abs(n.get(o-1,o))?(n.set(o-1,o-1,g/n.get(o,o-1)),n.set(o-1,o,-(n.get(o,o)-c)/n.get(o,o-1))):(P=Dt(0,-n.get(o-1,o),n.get(o-1,o-1)-c,g),n.set(o-1,o-1,P[0]),n.set(o-1,o,P[1])),n.set(o,o-1,0),n.set(o,o,1),a=o-2;a>=0;a--){for(m=0,b=0,S=k;S<=o;S++)m=m+n.get(a,S)*n.get(S,o-1),b=b+n.get(a,S)*n.get(S,o);if(v=n.get(a,a)-c,s[a]<0)p=v,M=m,w=b;else if(k=a,s[a]===0?(P=Dt(-m,-b,v,g),n.set(a,o-1,P[0]),n.set(a,o,P[1])):(N=n.get(a,a+1),F=n.get(a+1,a),I=(e[a]-c)*(e[a]-c)+s[a]*s[a]-g*g,E=(e[a]-c)*2*g,I===0&&E===0&&(I=l*f*(Math.abs(v)+Math.abs(g)+Math.abs(N)+Math.abs(F)+Math.abs(p))),P=Dt(N*M-p*m+g*b,N*w-p*b-g*m,I,E),n.set(a,o-1,P[0]),n.set(a,o,P[1]),Math.abs(N)>Math.abs(p)+Math.abs(g)?(n.set(a+1,o-1,(-m-v*n.get(a,o-1)+g*n.get(a,o))/N),n.set(a+1,o,(-b-v*n.get(a,o)-g*n.get(a,o-1))/N)):(P=Dt(-M-F*n.get(a,o-1),-w-F*n.get(a,o),p,g),n.set(a+1,o-1,P[0]),n.set(a+1,o,P[1]))),q=Math.max(Math.abs(n.get(a,o-1)),Math.abs(n.get(a,o))),l*q*q>1)for(S=a;S<=o;S++)n.set(S,o-1,n.get(S,o-1)/q),n.set(S,o,n.get(S,o)/q)}for(a=0;a<r;a++)if(a<i||a>h)for(S=a;S<r;S++)t.set(a,S,n.get(a,S));for(S=r-1;S>=i;S--)for(a=i;a<=h;a++){for(p=0,d=i;d<=Math.min(S,h);d++)p=p+t.get(a,d)*n.get(d,S);t.set(a,S,p)}}}function Dt(r,s,e,t){let n,o;return Math.abs(e)>Math.abs(t)?(n=t/e,o=e+n*t,[(r+n*s)/o,(s-n*r)/o]):(n=e/t,o=t+n*e,[(n*r+s)/o,(n*s-r)/o])}class fe{constructor(s){if(s=et.checkMatrix(s),!s.isSymmetric())throw new Error("Matrix is not symmetric");let e=s,t=e.rows,n=new j(t,t),o=!0,i,h,l;for(h=0;h<t;h++){let u=0;for(l=0;l<h;l++){let f=0;for(i=0;i<l;i++)f+=n.get(l,i)*n.get(h,i);f=(e.get(h,l)-f)/n.get(l,l),n.set(h,l,f),u=u+f*f}for(u=e.get(h,h)-u,o&&(o=u>0),n.set(h,h,Math.sqrt(Math.max(u,0))),l=h+1;l<t;l++)n.set(h,l,0)}this.L=n,this.positiveDefinite=o}isPositiveDefinite(){return this.positiveDefinite}solve(s){s=et.checkMatrix(s);let e=this.L,t=e.rows;if(s.rows!==t)throw new Error("Matrix dimensions do not match");if(this.isPositiveDefinite()===!1)throw new Error("Matrix is not positive definite");let n=s.columns,o=s.clone(),i,h,l;for(l=0;l<t;l++)for(h=0;h<n;h++){for(i=0;i<l;i++)o.set(l,h,o.get(l,h)-o.get(i,h)*e.get(l,i));o.set(l,h,o.get(l,h)/e.get(l,l))}for(l=t-1;l>=0;l--)for(h=0;h<n;h++){for(i=l+1;i<t;i++)o.set(l,h,o.get(l,h)-o.get(i,h)*e.get(i,l));o.set(l,h,o.get(l,h)/e.get(l,l))}return o}get lowerTriangularMatrix(){return this.L}}class ae{constructor(s,e={}){s=et.checkMatrix(s);let{Y:t}=e;const{scaleScores:n=!1,maxIterations:o=1e3,terminationCriteria:i=1e-10}=e;let h;if(t){if(G(t)&&typeof t[0]=="number"?t=j.columnVector(t):t=et.checkMatrix(t),t.rows!==s.rows)throw new Error("Y should have the same number of rows as X");h=t.getColumnVector(0)}else h=s.getColumnVector(0);let l=1,u,f,c,g;for(let M=0;M<o&&l>i;M++)c=s.transpose().mmul(h).div(h.transpose().mmul(h).get(0,0)),c=c.div(c.norm()),u=s.mmul(c).div(c.transpose().mmul(c).get(0,0)),M>0&&(l=u.clone().sub(g).pow(2).sum()),g=u.clone(),t?(f=t.transpose().mmul(u).div(u.transpose().mmul(u).get(0,0)),f=f.div(f.norm()),h=t.mmul(f).div(f.transpose().mmul(f).get(0,0))):h=u;if(t){let M=s.transpose().mmul(u).div(u.transpose().mmul(u).get(0,0));M=M.div(M.norm());let w=s.clone().sub(u.clone().mmul(M.transpose())),p=h.transpose().mmul(u).div(u.transpose().mmul(u).get(0,0)),y=t.clone().sub(u.clone().mulS(p.get(0,0)).mmul(f.transpose()));this.t=u,this.p=M.transpose(),this.w=c.transpose(),this.q=f,this.u=h,this.s=u.transpose().mmul(u),this.xResidual=w,this.yResidual=y,this.betas=p}else this.w=c.transpose(),this.s=u.transpose().mmul(u).sqrt(),n?this.t=u.clone().div(this.s.get(0,0)):this.t=u,this.xResidual=s.sub(u.mmul(c.transpose()))}}_.AbstractMatrix=z,_.CHO=fe,_.CholeskyDecomposition=fe,_.DistanceMatrix=vt,_.EVD=ce,_.EigenvalueDecomposition=ce,_.LU=qt,_.LuDecomposition=qt;var ge=_.Matrix=j;_.MatrixColumnSelectionView=os,_.MatrixColumnView=ns,_.MatrixFlipColumnView=rs,_.MatrixFlipRowView=is,_.MatrixRowSelectionView=hs,_.MatrixRowView=ls,_.MatrixSelectionView=Nt,_.MatrixSubView=us,_.MatrixTransposeView=cs,_.NIPALS=ae,_.Nipals=ae,_.QR=Xt,_.QrDecomposition=Xt,_.SVD=gt,_.SingularValueDecomposition=gt,_.SymmetricMatrix=lt,_.WrapperMatrix1D=he,_.WrapperMatrix2D=et,_.correlation=ys,_.covariance=ds;var me=_.default=j;_.determinant=Tt;var js=_.inverse=as;_.linearDependencies=ws,_.pseudoInverse=ps,_.solve=ue,_.wrap=fs;const mt=ge;me.Matrix&&me.Matrix;const Yt=js,ks=1234,Is=()=>({seed:ks,arrayShuffle(s){const{arr:e,sampleSize:t}=s;for(let n=0;n<t;n++){this.seed=(214013*this.seed+2531011)%-2147483648;let o=this.seed>>16&32767;o=o%e.length;let i=e[n];e[n]=e[o],e[o]=i}},nextInt(s){this.seed=(214013*this.seed+2531011)%-2147483648;let e=this.seed>>16&32767;return e=e%s,e}}),H=(r,s,e)=>(s[0]-r[0])*(e[1]-r[1])-(s[1]-r[1])*(e[0]-r[0]),Rs=(r,s,e,t,n,o,i,h)=>!(H(r,s,e)>0!=H(n,o,i)>0||H(s,e,t)>0!=H(o,i,h)>0||H(e,t,r)>0!=H(i,h,n)>0||H(t,r,s)>0!=H(h,n,o)>0),vs=(r,s,e,t,n,o)=>H(r,s,e)>0==H(t,n,o)>0,Ns=r=>{const s=r[4]*r[8]-r[5]*r[7],e=r[3]*r[8]-r[5]*r[6],t=r[3]*r[7]-r[4]*r[6];return r[0]*s-r[1]*e+r[2]*t},we=(r,s)=>{const e=Ns(r);if(Math.abs(e)<=s)return null;const t=1/e;return[(r[4]*r[8]-r[5]*r[7])*t,(r[2]*r[7]-r[1]*r[8])*t,(r[1]*r[5]-r[2]*r[4])*t,(r[5]*r[6]-r[3]*r[8])*t,(r[0]*r[8]-r[2]*r[6])*t,(r[2]*r[3]-r[0]*r[5])*t,(r[3]*r[7]-r[4]*r[6])*t,(r[1]*r[6]-r[0]*r[7])*t,(r[0]*r[4]-r[1]*r[3])*t]},wt=(r,s)=>{const e=s[6]*r[0]+s[7]*r[1]+s[8],t=[];return t[0]=(s[0]*r[0]+s[1]*r[1]+s[2])/e,t[1]=(s[3]*r[0]+s[4]*r[1]+s[5])/e,t},qs=(r,s,e,t)=>{const n=pt(s,r),o=pt(e,r),i=pt(t,r),h=pt(s,e),l=pt(t,e),u=zt(n,o),f=zt(o,i),c=zt(n,i),g=zt(h,l);return Math.min(Math.min(Math.min(u,f),c),g)},Ts=(r,s,e,t)=>{const n=H(r,s,e)<=0;return!(H(s,e,t)<=0!==n||H(e,t,r)<=0!==n||H(t,r,s)<=0!==n)},pt=(r,s)=>[r[0]-s[0],r[1]-s[1]],zt=(r,s)=>{const e=r[0]*s[1]-r[1]*s[0];return Math.abs(e)*.5},pe=(r,s)=>{const{normPoints:e,param:t}=de(r),{normPoints:n,param:o}=de(s),i=n.length,h=[],l=[];for(let u=0;u<i;u++){const f=[e[u][0],e[u][1],1,0,0,0,-(e[u][0]*n[u][0]),-(e[u][1]*n[u][0])],c=[0,0,0,e[u][0],e[u][1],1,-(e[u][0]*n[u][1]),-(e[u][1]*n[u][1])];h.push(f),h.push(c),l.push([n[u][0]]),l.push([n[u][1]])}try{const u=new mt(h),f=new mt(l),c=u.transpose(),g=c.mmul(u),M=c.mmul(f),p=Yt(g).mmul(M).to1DArray();return Ds(p,t,o)}catch{return null}},de=r=>{let s=0,e=0;for(let l=0;l<r.length;l++)s+=r[l][0],e+=r[l][1];let t=s/r.length,n=e/r.length,o=0;for(let l=0;l<r.length;l++){const u=r[l][0]-t,f=r[l][1]-n;o+=Math.sqrt(u*u+f*f)}let i=Math.sqrt(2)*r.length/o;const h=[];for(let l=0;l<r.length;l++)h.push([(r[l][0]-t)*i,(r[l][1]-n)*i]);return{normPoints:h,param:{meanX:t,meanY:n,s:i}}},Ds=(r,s,e)=>{const t=e.s*e.meanX,n=e.s*e.meanY,o=[r[0]+t*r[6],r[1]+t*r[7],(r[0]+t*r[6])*-s.meanX+(r[1]+t*r[7])*-s.meanY+(r[2]+t)/s.s,r[3]+n*r[6],r[4]+n*r[7],(r[3]+n*r[6])*-s.meanX+(r[4]+n*r[7])*-s.meanY+(r[5]+n)/s.s,e.s*r[6],e.s*r[7],e.s*r[6]*-s.meanX+e.s*r[7]*-s.meanY+e.s/s.s];for(let i=0;i<9;i++)o[i]=o[i]/o[8];return o},zs=.01,Fs=10,_s=20,Ps=10,ye=r=>{const{srcPoints:s,dstPoints:e,keyframe:t,quickMode:n}=r,o=[[0,0],[t.width,0],[t.width,t.height],[0,t.height]],i=4;if(s.length<i)return null;const h=zs,l=1/(h*h),u=Math.min(Fs,s.length),f=Is(),c=[];for(let d=0;d<s.length;d++)c[d]=d;f.arrayShuffle({arr:c,sampleSize:c.length});const g=n?Ps:_s,M=g*2;let w=0;const p=[];for(;w<M&&p.length<g;){if(w+=1,f.arrayShuffle({arr:c,sampleSize:i}),!Rs(s[c[0]],s[c[1]],s[c[2]],s[c[3]],e[c[0]],e[c[1]],e[c[2]],e[c[3]]))continue;const d=pe([s[c[0]],s[c[1]],s[c[2]],s[c[3]]],[e[c[0]],e[c[1]],e[c[2]],e[c[3]]]);d!==null&&Os({H:d,testPoints:o})&&p.push(d)}if(p.length===0)return null;const y=[];for(let 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i=Math.cos(e),h=Math.sin(e),l=1-i;Z[0][0]=t*t*l+i,Z[0][1]=t*n*l-o*h,Z[0][2]=t*o*l+n*h,Z[0][3]=s[3],Z[1][0]=n*t*l+o*h,Z[1][1]=n*n*l+i,Z[1][2]=n*o*l-t*h,Z[1][3]=s[4],Z[2][0]=o*t*l-n*h,Z[2][1]=o*n*l+t*h,Z[2][2]=o*o*l+i,Z[2][3]=s[5];const u=[[],[],[]];for(let f=0;f<3;f++){for(let c=0;c<4;c++)u[f][c]=r[f][0]*Z[0][c]+r[f][1]*Z[1][c]+r[f][2]*Z[2][c];u[f][3]+=r[f][3]}return u},Hs=({dU:r,J_U_S:s})=>{const e=new mt(s),t=new mt(r),n=e.transpose(),o=n.mmul(e),i=n.mmul(t);let h;try{h=Yt(o)}catch{return null}return h.mmul(i).to1DArray()},tn=({modelViewProjectionTransform:r,modelViewTransform:s,projectionTransform:e,worldCoord:t})=>{const n=s,{x:o,y:i,z:h}=t,l=je(r,o,i),u=l.z*l.z;ht[0][0]=e[0][0]*l.z/u,ht[0][1]=e[0][1]*l.z/u,ht[0][2]=(e[0][2]*l.z-e[2][2]*l.x)/u,ht[1][0]=e[1][0]*l.z/u,ht[1][1]=e[1][1]*l.z/u,ht[1][2]=(e[1][2]*l.z-e[2][2]*l.y)/u,K[0][0]=n[0][2]*i,K[0][1]=-n[0][2]*o,K[0][2]=n[0][1]*o-n[0][0]*i,K[0][3]=n[0][0],K[0][4]=n[0][1],K[0][5]=n[0][2],K[1][0]=n[1][2]*i,K[1][1]=-n[1][2]*o,K[1][2]=n[1][1]*o-n[1][0]*i,K[1][3]=n[1][0],K[1][4]=n[1][1],K[1][5]=n[1][2],K[2][0]=n[2][2]*i,K[2][1]=-n[2][2]*o,K[2][2]=n[2][1]*o-n[2][0]*i,K[2][3]=n[2][0],K[2][4]=n[2][1],K[2][5]=n[2][2];const f=[[],[]];for(let c=0;c<2;c++)for(let g=0;g<6;g++){f[c][g]=0;for(let M=0;M<3;M++)f[c][g]+=ht[c][M]*K[M][g]}return f};class en{constructor(s){this.projectionTransform=s}estimate({screenCoords:s,worldCoords:e}){return Ys({screenCoords:s,worldCoords:e,projectionTransform:this.projectionTransform})}refineEstimate({initialModelViewTransform:s,worldCoords:e,screenCoords:t}){return 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",iB=n=>Uint8Array.from(atob(n),t=>t.charCodeAt(0)),NC=typeof self<"u"&&self.Blob&&new Blob([iB(TC)],{type:"text/javascript;charset=utf-8"});function aB(n){let t;try{if(t=NC&&(self.URL||self.webkitURL).createObjectURL(NC),!t)throw"";const e=new Worker(t,{name:n==null?void 0:n.name});return e.addEventListener("error",()=>{(self.URL||self.webkitURL).revokeObjectURL(t)}),e}catch{return new Worker("data:text/javascript;base64,"+TC,{name:n==null?void 0:n.name})}finally{t&&(self.URL||self.webkitURL).revokeObjectURL(t)}}const cB=(n,t)=>[[n[0][0]*t[0][0]+n[0][2]*t[2][0],n[0][0]*t[0][1]+n[0][2]*t[2][1],n[0][0]*t[0][2]+n[0][2]*t[2][2],n[0][0]*t[0][3]+n[0][2]*t[2][3]],[n[1][1]*t[1][0]+n[1][2]*t[2][0],n[1][1]*t[1][1]+n[1][2]*t[2][1],n[1][1]*t[1][2]+n[1][2]*t[2][2],n[1][1]*t[1][3]+n[1][2]*t[2][3]],[t[2][0],t[2][1],t[2][2],t[2][3]]],lB=(n,t,e,s)=>{const o=n[0][0]*t+n[0][1]*e+n[0][3],r=n[1][0]*t+n[1][1]*e+n[1][3],i=n[2][0]*t+n[2][1]*e+n[2][3];return{x:o,y:r,z:i}},uB=(n,t,e,s)=>{const{x:o,y:r,z:i}=lB(n,t,e);return{x:o/i,y:r/i}},dB=6,hB=1,pB=10,fB=1,mB=.8,gB=1,qn=1e3;class bB{constructor(t,e,s,o,r,i=!1){this.markerDimensions=t,this.trackingDataList=e,this.projectionTransform=s,this.debugMode=i,this.trackingKeyframeList=[];for(let c=0;cmB&&C= (${h} - ${r}) || sy < ${r} || sy >= (${d} - ${r})) { setOutput(-2.); } else { float sumPoint = 0.; float sumPointSquare = 0.; float sumTemplate = 0.; float sumTemplateSquare = 0.; float sumPointTemplate = 0.; for (int templateOffsetY = 0; templateOffsetY < ${i}; templateOffsetY++) { for (int templateOffsetX = 0; templateOffsetX < ${i}; templateOffsetX++) { int fx2 = sCenterX + templateOffsetX - ${r}; int fy2 = sCenterY + templateOffsetY - ${r}; int sx2 = sx + templateOffsetX - ${r}; int sy2 = sy + templateOffsetY - ${r}; int markerPixelIndex = fy2 * markerWidth + fx2; float markerPixel = getMarkerPixels(markerPixelIndex); float targetPixel = getTargetPixels(sy2, sx2); sumTemplate += markerPixel; sumTemplateSquare += markerPixel * markerPixel; sumPoint += targetPixel; sumPointSquare += targetPixel * targetPixel; sumPointTemplate += targetPixel * markerPixel; } } // Normalized cross-correlation // !important divide first avoid overflow (e.g. sumPoint / count * sumPoint) float count = float(${i} * ${i}); float pointVariance = sqrt(sumPointSquare - sumPoint / count * sumPoint); float templateVariance = sqrt(sumTemplateSquare - sumTemplate / count * sumTemplate); if (pointVariance < 0.0000001) { setOutput(-3.); } else if (templateVariance < 0.0000001) { //setOutput(sumTemplate); setOutput(-4.); } else { sumPointTemplate -= sumPoint / count * sumTemplate; float sim = sumPointTemplate / pointVariance / templateVariance; setOutput(sim); } } } `},m={variableNames:["featurePoints","markerProperties","maxIndex"],outputShape:[p,2],userCode:` void main() { ivec2 coords = getOutputCoords(); float markerScale = getMarkerProperties(2); int featureIndex = coords[0]; int maxIndex = int(getMaxIndex(featureIndex)); int searchLocationIndex = maxIndex / ${u*u}; int searchOffsetIndex = imod(maxIndex, ${u*u}); if (coords[1] == 0) { int searchOffsetX = imod(searchOffsetIndex, ${u}) * ${l}; setOutput(getFeaturePoints(featureIndex, 0) + float(searchOffsetX - ${c}) / markerScale); } else if (coords[1] == 1) { int searchOffsetY = searchOffsetIndex / ${u} * ${l}; setOutput(getFeaturePoints(featureIndex, 1) + float(searchOffsetY - ${c}) / markerScale); } } `},g={variableNames:["sims","maxIndex"],outputShape:[p],userCode:` void main() { int featureIndex = getOutputCoords(); int maxIndex = int(getMaxIndex(featureIndex)); setOutput(getSims(featureIndex, maxIndex)); } `};this.kernelCaches.computeMatching=[f,m,g]}return X(()=>{const f=this.kernelCaches.computeMatching,m=this._compileAndRun(f[0],[t,e,s,o]),g=m.argMax(1),b=this._compileAndRun(f[1],[t,s,g]),x=this._compileAndRun(f[2],[m,g]);return{matchingPointsT:b,simT:x}})}_computeProjection(t,e,s){const o=this.trackingKeyframeList[s].width,r=this.trackingKeyframeList[s].height,i=this.trackingKeyframeList[s].scale,a=o+"-"+r+"-"+i;if(this.kernelCaches.computeProjection||(this.kernelCaches.computeProjection={}),!this.kernelCaches.computeProjection[a]){const c={variableNames:["M","pixel"],outputShape:[r,o],userCode:` void main() { ivec2 coords = getOutputCoords(); float m00 = getM(0, 0) * ${qn}.; float m01 = getM(0, 1) * ${qn}.; float m03 = getM(0, 3) * ${qn}.; float m10 = getM(1, 0) * ${qn}.; float m11 = getM(1, 1) * ${qn}.; float m13 = getM(1, 3) * ${qn}.; float m20 = getM(2, 0) * ${qn}.; float m21 = getM(2, 1) * ${qn}.; float m23 = getM(2, 3) * ${qn}.; float y = float(coords[0]) / float(${i}); float x = float(coords[1]) / float(${i}); float uz = (x * m20) + (y * m21) + m23; float oneOverUz = 1. / uz; float ux = (x * m00) + (y * m01) + m03; float uy = (x * m10) + (y * m11) + m13; ux = floor(ux * oneOverUz + 0.5); uy = floor(uy * oneOverUz + 0.5); setOutput(getPixel(int(uy), int(ux))); } `};this.kernelCaches.computeProjection[a]=c}return X(()=>{const c=this.kernelCaches.computeProjection[a];return this._compileAndRun(c,[t,e])})}_buildAdjustedModelViewTransform(t){return X(()=>{let e=[];for(let o=0;o{const s=t.scale,o=[];for(let c=0;c{const t=n.inputs.image,e=n.backend,[s,o]=xB(t),r=e.runWebGLProgram(s,[t],t.dtype),i=e.runWebGLProgram(o,[r],t.dtype);return e.disposeIntermediateTensorInfo(r),i}},Zl=7,RC=3,CB=RC*RC,Zp=4,IB=(Zp+1)*(Zp+1)/Zp,Fp={};function wB(n){const t=n.shape[1],e=n.shape[0],s="w"+t+"h"+e;if(!Fp.hasOwnProperty(s)){const o={variableNames:["image0","image1","image2"],outputShape:[e,t],userCode:` void main() { ivec2 coords = getOutputCoords(); int y = coords[0]; int x = coords[1]; float value = getImage1(y, x); // Step 1: find local maxima/minima if (value * value < ${CB}.) { setOutput(0.); return; } if (y < ${Zl} || y > ${e-1-Zl}) { setOutput(0.); return; } if (x < ${Zl} || x > ${t-1-Zl}) { setOutput(0.); return; } bool isMax = true; bool isMin = true; for (int dy = -1; dy <= 1; dy++) { for (int dx = -1; dx <= 1; dx++) { float value0 = getImage0(y+dy, x+dx); float value1 = getImage1(y+dy, x+dx); float value2 = getImage2(y+dy, x+dx); if (value < value0 || value < value1 || value < value2) { isMax = false; } if (value > value0 || value > value1 || value > value2) { isMin = false; } } } if (!isMax && !isMin) { setOutput(0.); return; } // compute edge score and reject based on threshold float dxx = getImage1(y, x+1) + getImage1(y, x-1) - 2. * getImage1(y, x); float dyy = getImage1(y+1, x) + getImage1(y-1, x) - 2. * getImage1(y, x); float dxy = 0.25 * (getImage1(y-1,x-1) + getImage1(y+1,x+1) - getImage1(y-1,x+1) - getImage1(y+1,x-1)); float det = (dxx * dyy) - (dxy * dxy); if (abs(det) < 0.0001) { // determinant undefined. no solution setOutput(0.); return; } float edgeScore = (dxx + dyy) * (dxx + dyy) / det; if (abs(edgeScore) >= ${IB} ) { setOutput(0.); return; } setOutput(getImage1(y,x)); } `};Fp[s]=o}return Fp[s]}const SB={kernelName:"BuildExtremas",backendName:"webgl",kernelFunc:n=>{let{image0:t,image1:e,image2:s}=n.inputs;const o=n.backend,r=wB(e);return t=Kt().runKernel("DownsampleBilinear",{image:t}),s=Kt().runKernel("UpsampleBilinear",{image:s,targetImage:e}),o.runWebGLProgram(r,[t,e,s],e.dtype)}},fa=36,Dp={};function vB(n){const t=n.shape[0];if(!Dp.hasOwnProperty(t)){const e={variableNames:["histogram"],outputShape:[n.shape[0]],userCode:` void main() { int featureIndex = getOutputCoords(); int maxIndex = 0; for (int i = 1; i < ${fa}; i++) { if (getHistogram(featureIndex, i) > getHistogram(featureIndex, maxIndex)) { maxIndex = i; } } int prev = imod(maxIndex - 1 + ${fa}, ${fa}); int next = imod(maxIndex + 1, ${fa}); /** * Fit a quatratic to 3 points. The system of equations is: * * y0 = A*x0^2 + B*x0 + C * y1 = A*x1^2 + B*x1 + C * y2 = A*x2^2 + B*x2 + C * * This system of equations is solved for A,B,C. */ float p10 = float(maxIndex - 1); float p11 = getHistogram(featureIndex, prev); float p20 = float(maxIndex); float p21 = getHistogram(featureIndex, maxIndex); float p30 = float(maxIndex + 1); float p31 = getHistogram(featureIndex, next); float d1 = (p30-p20)*(p30-p10); float d2 = (p10-p20)*(p30-p10); float d3 = p10-p20; // If any of the denominators are zero then, just use maxIndex. float fbin = float(maxIndex); if ( abs(d1) > 0.00001 && abs(d2) > 0.00001 && abs(d3) > 0.00001) { float a = p10*p10; float b = p20*p20; // Solve for the coefficients A,B,C float A = ((p31-p21)/d1)-((p11-p21)/d2); float B = ((p11-p21)+(A*(b-a)))/d3; float C = p11-(A*a)-(B*p10); fbin = -B / (2. * A); } float an = 2.0 *${Math.PI} * (fbin + 0.5) / ${fa}. - ${Math.PI}; setOutput(an); } `};Dp[t]=e}return Dp[t]}const kB={kernelName:"ComputeExtremaAngles",backendName:"webgl",kernelFunc:n=>{const{histograms:t}=n.inputs,e=n.backend,s=vB(t);return e.runWebGLProgram(s,[t],t.dtype)}},GC=7,Pp={};function TB(n,t){const e=`${n}|${t.shape[0]}`;if(!Pp.hasOwnProperty(e)){const s=[];for(let i=1;i{const{gaussianImagesT:t,prunedExtremas:e,prunedExtremasAngles:s,freakPointsT:o,pyramidImagesLength:r}=n.inputs,i=n.backend,a=TB(r,e);return i.runWebGLProgram(a,[...t,e,s,o],"float32")}},LC=($o.length-1)*$o.length/2,RB=Math.ceil(LC/8),Op={};function GB(n){const t=`${n.shape[0]}`;if(!Op.hasOwnProperty(t)){const e={variableNames:["freak","p"],outputShape:[n.shape[0],RB],userCode:` void main() { ivec2 coords = getOutputCoords(); int featureIndex = coords[0]; int descIndex = coords[1] * 8; int sum = 0; for (int i = 0; i < 8; i++) { if (descIndex + i >= ${LC}) { continue; } int p1 = int(getP(descIndex + i, 0)); int p2 = int(getP(descIndex + i, 1)); float v1 = getFreak(featureIndex, p1); float v2 = getFreak(featureIndex, p2); if (v1 < v2 + 0.01) { sum += int(pow(2.0, float(7 - i))); } } setOutput(float(sum)); } `};Op[t]=e}return Op[t]}const LB={kernelName:"ComputeFreakDescriptors",backendName:"webgl",kernelFunc:n=>{const{extremaFreaks:t,positionT:e}=n.inputs,{backend:s}=n,o=GB(t);return s.runWebGLProgram(o,[t,e],"int32")}},Ap={};function $B(n,t){const e=`${n}|${t}`;if(!Ap.hasOwnProperty(e)){const s=[];let o="float getPixel(int octave, int y, int x) {";for(let r=1;r{const{prunedExtremasList:t,dogPyramidImagesT:e}=n.inputs,s=n.backend,o=$B(e.length,t.length),r=tn(t,[t.length,t[0].length],"int32");return s.runWebGLProgram(o,[...e.slice(1),r],e[0].dtype)}},XB=.159154943091895,Cr=36,Hp={};function MB(n,t,e){const s=`${e}|${n.shape[0]}|${t.shape[0]}`;if(!Hp.hasOwnProperty(s)){const o=[];for(let c=1;c{const{gaussianImagesT:t,prunedExtremasT:e,radialPropertiesT:s,pyramidImagesLength:o}=n.inputs,r=n.backend,[i,a]=MB(e,s,o),c=r.runWebGLProgram(i,[...t,e,s],s.dtype),l=r.runWebGLProgram(a,[c],s.dtype);return r.disposeIntermediateTensorInfo(c),l}},Bp={};function VB(n){const t=n.shape[1],e=n.shape[0],s="w"+t+"h"+e;if(!Bp.hasOwnProperty(s)){const o={variableNames:["p"],outputShape:[Math.floor(e/2),Math.floor(t/2)],userCode:` void main() { ivec2 coords = getOutputCoords(); int y = coords[0] * 2; int x = coords[1] * 2; float sum = getP(y, x) * 0.25; sum += getP(y+1,x) * 0.25; sum += getP(y, x+1) * 0.25; sum += getP(y+1,x+1) * 0.25; setOutput(sum); } `};Bp[s]=o}return Bp[s]}const EB={kernelName:"DownsampleBilinear",backendName:"webgl",kernelFunc:n=>{const t=n.inputs.image,e=n.backend,s=VB(t);return e.runWebGLProgram(s,[t],t.dtype)}},KB={kernelName:"ExtremaReduction",backendName:"webgl",kernelFunc:n=>{const{extremasResultT:t}=n.inputs,e=n.backend,s=t.shape[0],o=t.shape[1],r={variableNames:["extrema"],outputShape:[Math.floor(s/2),Math.floor(o/2)],userCode:` void main() { ivec2 coords = getOutputCoords(); int y = coords[0] * 2; int x = coords[1] * 2; float location = 0.0; float values = getExtrema(y, x); if (getExtrema(y+1, x) != 0.0) { location = 1.0; values = getExtrema(y+1, x); } else if (getExtrema(y, x+1) != 0.0) { location = 2.0; values = getExtrema(y, x+1); } else if (getExtrema(y+1, x+1) != 0.0) { location = 3.0; values = getExtrema(y+1, x+1); } if (values < 0.0) { setOutput(location * -1000.0 + values); } else { setOutput(location * 1000.0 + values); } } `};return e.runWebGLProgram(r,[t],t.dtype)}},Fl=36,ZB=5,Up={};function FB(n){const t=`h${n.shape[0]}`;if(!Up.hasOwnProperty(t)){const e={variableNames:["histogram"],outputShape:[n.shape[0],Fl],userCode:` void main() { ivec2 coords = getOutputCoords(); int featureIndex = coords[0]; int binIndex = coords[1]; int prevBin = imod(binIndex - 1 + ${Fl}, ${Fl}); int nextBin = imod(binIndex + 1, ${Fl}); float result = 0.274068619061197 * getHistogram(featureIndex, prevBin) + 0.451862761877606 * getHistogram(featureIndex, binIndex) + 0.274068619061197 * getHistogram(featureIndex, nextBin); setOutput(result); } `};Up[t]=e}return Up[t]}const DB={kernelName:"SmoothHistograms",backendName:"webgl",kernelFunc:n=>{let{histograms:t}=n.inputs;const e=n.backend,s=FB(t);for(let o=0;o0&&e.disposeIntermediateTensorInfo(r)}return t}},_p={};function PB(n,t){const e=t.shape[1],s=t.shape[0],o="w"+e+"h"+s;if(!_p.hasOwnProperty(o)){const r={variableNames:["p"],outputShape:[s,e],userCode:` void main() { ivec2 coords = getOutputCoords(); int j = coords[0]; int i = coords[1]; float sj = 0.5 * float(j) - 0.25; float si = 0.5 * float(i) - 0.25; float sj0 = floor(sj); float sj1 = ceil(sj); float si0 = floor(si); float si1 = ceil(si); int sj0I = int(sj0); int sj1I = int(sj1); int si0I = int(si0); int si1I = int(si1); float sum = 0.0; sum += getP(sj0I, si0I) * (si1 - si) * (sj1 - sj); sum += getP(sj1I, si0I) * (si1 - si) * (sj - sj0); sum += getP(sj0I, si1I) * (si - si0) * (sj1 - sj); sum += getP(sj1I, si1I) * (si - si0) * (sj - sj0); setOutput(sum); } `};_p[o]=r}return _p[o]}const OB={kernelName:"UpsampleBilinear",backendName:"webgl",kernelFunc:n=>{const{image:t,targetImage:e}=n.inputs,s=n.backend,o=PB(t,e);return s.runWebGLProgram(o,[t],t.dtype)}};qe(yB),qe(SB),qe(kB),qe(NB),qe(LB),qe(WB),qe(zB),qe(EB),qe(KB),qe(DB),qe(OB);const $C=8,AB=5,ma=10,HB=5,Yp=3,BB=1.5;($o.length-1)*$o.length/2;class WC{constructor(t,e,s=!1){this.debugMode=s,this.width=t,this.height=e;let o=0;for(;t>=$C&&e>=$C&&(t/=2,e/=2,o++,o!==AB););this.numOctaves=o,this.tensorCaches={},this.kernelCaches={}}detectImageData(t){const e=new Uint8ClampedArray(4*t.length);for(let o=0;ob.map(x=>x.arraySync())),dogPyramidImages:o.map(b=>b?b.arraySync():null),extremasResults:r.map(b=>b.arraySync()),extremaAngles:u.arraySync(),prunedExtremas:i,localizedExtremas:a.arraySync()}),s.forEach(b=>b.forEach(x=>x.dispose())),o.forEach(b=>b&&b.dispose()),r.forEach(b=>b.dispose()),a.dispose(),c.dispose(),l.dispose(),u.dispose(),d.dispose(),h.dispose();const g=[];for(let b=0;b0,x:w,y:k,scale:v,angle:f[b],descriptors:x})}return{featurePoints:g,debugExtra:e}}_computeFreakDescriptors(t){if(!this.tensorCaches.computeFreakDescriptors){const s=[],o=[];for(let a=0;aKt().runKernel("ComputeFreakDescriptors",{extremaFreaks:t,positionT:e}))}_computeExtremaFreak(t,e,s){this.tensorCaches._computeExtremaFreak||X(()=>{const i=tn($o);this.tensorCaches._computeExtremaFreak={freakPointsT:en(i)}});const{freakPointsT:o}=this.tensorCaches._computeExtremaFreak,r=[];for(let i=1;iKt().runKernel("ComputeExtremaFreak",{gaussianImagesT:r,prunedExtremas:e,prunedExtremasAngles:s,freakPointsT:o,pyramidImagesLength:t.length}))}_computeExtremaAngles(t){return X(()=>Kt().runKernel("ComputeExtremaAngles",{histograms:t}))}_computeOrientationHistograms(t,e){const s=[];for(let r=1;r{const r=-1/(2*Yp*Yp),i=Yp*BB,a=Math.ceil(i),c=[];for(let l=-a;l<=a;l++)for(let u=-a;u<=a;u++){const d=u*u+l*l;if(d<=i*i){const h=d*r;let p=(720+h*(720+h*(360+h*(120+h*(30+h*(6+h))))))*.0013888888;c.push([l,u,p])}}this.tensorCaches.orientationHistograms={radialPropertiesT:en(tn(c,[c.length,3]))}});const{radialPropertiesT:o}=this.tensorCaches.orientationHistograms;return X(()=>Kt().runKernel("ComputeOrientationHistograms",{gaussianImagesT:s,prunedExtremasT:t,radialPropertiesT:o,pyramidImagesLength:e.length}))}_smoothHistograms(t){return X(()=>Kt().runKernel("SmoothHistograms",{histograms:t}))}_computeLocalization(t,e){return X(()=>{const o=Kt().runKernel("ComputeLocalization",{prunedExtremasList:t,dogPyramidImagesT:e}).arraySync(),r=[];for(let a=0;a{for(let a=0;a=1&&T>o[v][R-1];)R-=1;if(R=R+1;W--)o[v][W]=o[v][W-1],r[v][W][0]=r[v][W-1][0],r[v][W][1]=r[v][W-1][1],r[v][W][2]=r[v][W-1][2],r[v][W][3]=r[v][W-1][3];o[v][R]=T,r[v][R][0]=x,r[v][R][1]=l,r[v][R][2]=I,r[v][R][3]=y}}}});const i=[];for(let a=0;aKt().runKernel("BuildExtremas",{image0:t,image1:e,image2:s}))}_differenceImageBinomial(t,e){return X(()=>t.sub(e))}_applyFilter(t){return X(()=>Kt().runKernel("BinomialFilter",{image:t}))}_downsampleBilinear(t){return X(()=>Kt().runKernel("DownsampleBilinear",{image:t}))}_compileAndRun(t,e){const s=Cs().compileAndRun(t,e);return Kt().makeTensorFromDataId(s.dataId,s.shape,s.dtype)}_runWebGLProgram(t,e,s){const o=Cs().runWebGLProgram(t,e,s);return Kt().makeTensorFromDataId(o.dataId,o.shape,o.dtype)}}class UB{constructor(t,e,s=!1){this.debugMode=s,this.width=t,this.height=e;let o=Math.min(t,e)/2,r=Math.pow(2,Math.round(Math.log(o)/Math.log(2)));this.cropSize=r,this.detector=new WC(r,r,s),this.kernelCaches={},this.lastRandomIndex=4}detect(t){const e=Math.floor(this.height/2-this.cropSize/2),s=Math.floor(this.width/2-this.cropSize/2),o=this._detect(t,s,e);return this.debugMode&&(o.debugExtra.crop={startX:s,startY:e,cropSize:this.cropSize}),o}detectMoving(t){const e=this.lastRandomIndex%3,s=Math.floor(this.lastRandomIndex/3);let o=Math.floor(this.height/2-this.cropSize+s*this.cropSize/2),r=Math.floor(this.width/2-this.cropSize+e*this.cropSize/2);return r<0&&(r=0),o<0&&(o=0),r>=this.width-this.cropSize&&(r=this.width-this.cropSize-1),o>=this.height-this.cropSize&&(o=this.height-this.cropSize-1),this.lastRandomIndex=(this.lastRandomIndex+1)%9,this._detect(t,r,o)}_detect(t,e,s){const o=t.slice([s,e],[this.cropSize,this.cropSize]),{featurePoints:r,debugExtra:i}=this.detector.detect(o);return r.forEach(a=>{a.x+=e,a.y+=s}),this.debugMode&&(i.projectedImage=o.arraySync()),o.dispose(),{featurePoints:r,debugExtra:i}}}const XC=({image:n,ratio:t})=>{const e=Math.round(n.width*t),s=Math.round(n.height*t),o=new Uint8Array(e*s);for(let r=0;r=n.width&&(a=n.width-1);for(let c=0;c=n.height&&(u=n.height-1);let d=0,h=0;for(let p=i;p<=a;p++)for(let f=l;f<=u;f++)d+=1*n.data[f*n.width+p],h+=1;o[c*e+r]=Math.floor(d/h)}}return{data:o,width:e,height:s}},_B=100,YB=n=>{const t=_B/Math.min(n.width,n.height),e=[];let s=t;for(;;)if(e.push(s),s*=Math.pow(2,1/3),s>=.95){s=1;break}e.push(s),e.reverse();const o=[];for(let r=0;r