human/dist/human.esm.js

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2020-11-20 14:53:40 +01:00
/*
Human library
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
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`)}function dk(e,t,n,r){let a=Ct(t),s=r[r.length-1],i=new Array(s).fill(0),o=t.length,l=n==="complex64"?Nu(e):e;if(o>1)for(let c=0;c<a/s;c++){let u=c*s;for(let h=0;h<s;h++)i[h]=Math.max(i[h],Iu(l[u+h],0,n).length)}return i}function Iu(e,t,n){let r;return Array.isArray(e)?r=`${parseFloat(e[0].toFixed(R1))} + ${parseFloat(e[1].toFixed(R1))}j`:ca(e)?r=`'${e}'`:n==="bool"?r=fg(e):r=parseFloat(e.toFixed(R1)).toString(),au(r,t)}function fg(e){return e===0?"false":"true"}function Uh(e,t,n,r,a,s=!0){let i=n==="complex64"?2:1,o=t[0],l=t.length;if(l===0){if(n==="complex64"){let m=Nu(e);return[Iu(m[0],0,n)]}return n==="bool"?[fg(e[0])]:[e[0].toString()]}if(l===1){if(o>pg){let A=ku*i,y=Array.from(e.slice(0,A)),g=Array.from(e.slice((o-ku)*i,o*i));return n==="complex64"&&(y=Nu(y),g=Nu(g)),["["+y.map((_,x)=>Iu(_,a[x],n)).join(", ")+", ..., "+g.map((_,x)=>Iu(_,a[o-ku+x],n)).join(", ")+"]"]}let m=n==="complex64"?Nu(e):Array.from(e);return["["+m.map((A,y)=>Iu(A,a[y],n)).join(", ")+"]"]}let c=t.slice(1),u=r.slice(1),h=r[0]*i,p=[];if(o>pg){for(let m=0;m<ku;m++){let A=m*h,y=A+h;p.push(...Uh(e.slice(A,y),c,n,u,a,!1))}p.push("...");for(let m=o-ku;m<o;m++){let A=m*h,y=A+h;p.push(...Uh(e.slice(A,y),c,n,u,a,m===o-1))}}else for(let m=0;m<o;m++){let A=m*h,y=A+h;p.push(...Uh(e.slice(A,y),c,n,u,a,m===o-1))}let d=l===2?",":"";p[0]="["+p[0]+d;for(let m=1;m<p.length-1;m++)p[m]=" "+p[m]+d;let f=`,
2021-01-18 14:22:51 +01:00
`;for(let m=2;m<l;m++)f+=`
2021-02-08 18:47:38 +01:00
`;return p[p.length-1]=" "+p[p.length-1]+"]"+(s?"":f),p}function Nu(e){let t=[];for(let n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var Rt=class{constructor(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=Ct(e),n!=null){let r=n.length;F(r===this.size,()=>`Length of values '${r}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="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=n||Q2(t,this.size),this.strides=Mi(e)}set(e,...t){t.length===0&&(t=[0]),F(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let r of e){if(r<0||r>=this.shape[t]){let a=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(a)}t++}let n=e[e.length-1];for(let r=0;r<e.length-1;++r)n+=this.strides[r]*e[r];return this.values[n]}locToIndex(e){if(this.rank===0)return 0;if(this.rank===1)return e[0];let t=e[e.length-1];for(let n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t}indexToLoc(e){if(this.rank===0)return[];if(this.rank===1)return[e];let t=new Array(this.shape.length);for(let n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t}get rank(){return this.shape.length}toTensor(){return vr().makeTensor(this.values,this.shape,this.dtype)}},vr=null,Lo=null,fk=null;function mk(e){vr=e}function Ak(e){Lo=e}function yk(e){fk=e}var Xe=class{constructor(e,t,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=Ct(e),this.strides=Mi(e),this.dataId=n,this.id=r,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){let e=await this.data();return Lo.buffer(this.shape,this.dtype,e)}bufferSync(){return Lo.buffer(this.shape,this.dtype,this.dataSync())}async array(){let e=await this.data();return Oi(this.shape,e)}arraySync(){return Oi(this.shape,this.dataSync())}async data(){this.throwIfDisposed();let e=vr().read(this.dataId);if(this.dtype==="string"){let t=await e;try{return t.map(n=>Vh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataSync(){this.throwIfDisposed();let e=vr().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>Vh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await vr().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(vr().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Lo.print(this,e)}clone(){return this.throwIfDisposed(),Lo.clone(this)}toString(e=!1){let t=this.dataSync();return pk(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Lo.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),vr().makeVariable(this,e,t,n)}};Object.defineProperty(Xe,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function Y(){return S1("Tensor",()=>Xe)}Y();var Su=class extends Xe{constructor(e,t,n,r){super(e.shape,e.dtype,e.dataId,r);this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!Hr(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);vr().disposeTensor(this),this.dataId=e.dataId,vr().incRef(this,null)}dispose(){vr().disposeVariable(this),this.isDisposedInternal=!0}};Object.defineProperty(Su,Symbol.hasInstance,{value:e=>e instanceof Xe&&e.assign!=null&&e.assign instanceof Function});var lr={}
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2021-01-18 14:22:51 +01:00
Actual: ${a}.
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Actual: ${a}.
2021-02-08 18:47:38 +01:00
Expected: ${s}.`)}}function M9(e,t){e().then(()=>t.fail(),()=>t())}function O9(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return ca(e)||ca(e[0])||ca(t)||ca(t[0])?tf(e,n,(r,a)=>r==a):tf(e,t,(r,a)=>nf(r,a,0))}function $9(e,t,n){if(n==null&&(n=ef()),!nf(e,t,n))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`)}function nf(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function D9(e,t,n){for(let r=0;r<e.length;r++)if(e[r]<t||e[r]>n)throw new Error(`Value out of range:${e[r]} low: ${t}, high: ${n}`)}function z9(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}function t5(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?t5(n):e[t]=vu(n)}return e}var n5="3.0.0";function r5(){Q().set("PROD",!0)}function L9(){Q().set("DEBUG",!0)}function W9(){Q().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function rf(e){Q().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}yk(rf);function B9(){D.disposeVariables()}function Pn(){return D}function Zh(){return D.memory()}function cr(e){return D.profile(e)}function W(e,t){return D.tidy(e,t)}function Ne(e){F1(e).forEach(t=>t.dispose())}function Lt(e){return D.keep(e)}function V9(e){return D.time(e)}function a5(e){return D.setBackend(e)}function s5(){return D.ready()}function Yh(){return D.backendName}function U9(e){D.removeBackend(e)}function af(e){return D.findBackend(e)}function j9(e){return D.findBackendFactory(e)}function Ho(e,t,n=1){return D.registerBackend(e,t,n)}function sf(){return D.backend}function G9(e,t){Q().setPlatform(e,t)}function H9(e,t){let n=R(e,"a","add"),r=R(t,"b","add");[n,r]=gt(n,r);let a={a:n,b:r};return D.runKernel(da,a)}var se=z({add_:H9});function q9(e,t){let n=R(e,"a","floorDiv"),r=R(t,"b","floorDiv");[n,r]=gt(n,r);let a={a:n,b:r};return D.runKernel(os,a)}var Jh=z({floorDiv_:q9});function X9(e,t){let n=R(e,"a","div"),r=R(t,"b","div");if([n,r]=gt(n,r),n.dtype==="int32"&&r.dtype==="int32")return Jh(n,r);let a={a:n,b:r},s={};return D.runKernel(as,a,s)}var be=z({div_:X9});function K9(e,t){let n=R(e,"a","mul"),r=R(t,"b","mul");[n,r]=gt(n,r);let a={a:n,b:r};return D.runKernel(gs,a)}var L=z({mul_:K9});function Z9(e){let t=R(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return D.runKernel(lu,n)}else{let n={x:t};return D.runKernel($i,n)}}var Ft=z({abs_:Z9});function Y9(e){let t={x:R(e,"x","acos")};return D.runKernel(Di,t)}var of=z({acos_:Y9});function J9(e){let t={x:R(e,"x","acosh")};return D.runKernel(zi,t)}var lf=z({acosh_:J9});function Q9(e){F(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),F(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((a,s)=>R(a,`tensors${s}`,"addN")),n=t[0];t.forEach(a=>{if(a.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(a=>{if(!Hr(a.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let r=t;return D.runKernel(Xa,r)}var qo=z({addN_:Q9});function eI(e,t=null,n=!1){let r={x:R(e,"x","all","bool")},a={axis:t,keepDims:n};return D.runKernel(uh,r,a)}var Qh=z({all_:eI});function tI(e,t=null,n=!1){let r={x:R(e,"x","any","bool")},a={axis:t,keepDims:n};return D.runKernel(ch,r,a)}var Ru=z({any_:tI});function nI(e,t=0){let n={x:R(e,"x","argMax")},r={axis:t};return D.runKernel(Ka,n,r)}var Fu=z({argMax_:nI});function rI(e,t=0){let n={x:R(e,"x","argMin")},r={axis:t};return D.runKernel(su,n,r)}var uf=z({argMin_:rI});function aI(e){let t={x:R(e,"x","asin")};return D.runKernel(Pi,t)}var cf=z({asin_:aI});function sI(e){let t={x:R(e,"x","asinh")};return D.runKernel(Li,t)}var hf=z({asinh_:sI});function iI(e){let t={x:R(e,"x","atan")};return D.runKernel(Wi,t)}var df=z({atan_:iI});function oI(e,t){let n=R(e,"a","atan2"),r=R(t,"b","atan2");[n,r]=gt(n,r);let a={a:n,b:r};return D.runKernel(Vi,a)}var pf=z({atan2_:oI});function lI(e){let t={x:R
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2021-01-18 14:22:51 +01:00
${a} and ${t} for depthToSpace with input shape
${r.shape}`),F(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying
${s} and ${t} for depthToSpace with input shape
2021-02-08 18:47:38 +01:00
${r.shape}`),F(i%(t*t)==0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${r.shape}`);let o={x:r},l={blockSize:t,dataFormat:n};return D.runKernel(qi,o,l)}var _f=z({depthToSpace_:ZI});function YI(e,t,n,r,a="NHWC",s=[1,1],i){let o=R(e,"x","depthwiseConv2d"),l=R(t,"filter","depthwiseConv2d"),c=o,u=!1;o.rank===3&&(u=!0,c=q(o,[1,o.shape[0],o.shape[1],o.shape[2]])),F(c.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${c.rank}.`),F(l.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`),F(c.shape[3]===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${c.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),i!=null&&F(Pt(r),()=>`Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode ${i} but got pad ${r}.`);let h={x:c,filter:l},p={strides:n,pad:r,dataFormat:a,dilations:s,dimRoundingMode:i},d=D.runKernel(rs,h,p);return u?q(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Yo=z({depthwiseConv2d_:YI});function JI(e){let t={x:R(e,"x","diag")};return D.runKernel(_h,t)}var QI=z({diag_:JI});function eN(e,t,n,r,a=[1,1],s="NHWC"){let i=R(e,"x","dilation2d"),o=R(t,"filter","dilation2d");F(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),F(o.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${o.rank}.`),F(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=i,c=!1;i.rank===3&&(l=q(i,[1,i.shape[0],i.shape[1],i.shape[2]]),c=!0);let u={x:l,filter:o},h={strides:n,pad:r,dilations:a},p=D.runKernel(cu,u,h);return c?q(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var bf=z({dilation2d_:eN});function tN(e,t){let n=e.length,r=[];for(let a=0;a<n;a++){let s=n-1-a,i=e[s]||1;(t[t.length-1-a]||1)>1&&i===1&&r.unshift(s)}return r}function Mt(e,t){let n=[];for(let r=0;r<t.length;r++){let a=e[e.length-r-1],s=t.length-r-1,i=t[s];(a==null||a===1&&i>1)&&n.unshift(s)}return n}function ft(e,t){let n=[],r=Math.max(e.length,t.length);for(let a=0;a<r;a++){let s=e[e.length-a-1];s==null&&(s=1);let i=t[t.length-a-1];if(i==null&&(i=1),s===1)n.unshift(i);else if(i===1)n.unshift(s);else if(s!==i){let o=`Operands could not be broadcast together with shapes ${e} and ${t}.`;throw Error(o)}else n.unshift(s)}return n}function nN(e,t){let n=R(e,"a","equal"),r=R(t,"b","equal");[n,r]=gt(n,r),ft(n.shape,r.shape);let a={a:n,b:r};return D.runKernel(Zi,a)}var _a=z({equal_:nN});function rN(e,t,n){let r=R(t,"a","where"),a=R(n,"b","where"),s=R(e,"condition","where","bool"),i=ft(r.shape,a.shape),o=Du(r,i),l=Du(a,i);s.rank===1&&F(s.shape[0]===r.shape[0],()=>"The first dimension of `a` must match the size of `condition`."),s.rank!==1&&Jt(s.shape,l.shape,"Error in where: ");let c={condition:s,t:o,e:l};return D.runKernel(ko,c)}var dn=z({where_:rN});function aN(e){let t={x:R(e,"x","zerosLike")};return D.runKernel($o,t)}var Be=z({zerosLike_:aN});function sN(e,t){let n=R(e,"a","div"),r=R(t,"b","div");[n,r]=gt(n,r);let a=be(n,r),s=Be(a),i=_a(r,s);return dn(i,s,a)}var vf=z({divNoNan_:sN});function iN(e,t){let n=R(e,"t1","dot"),r=R(t,"t2","dot");F((n.rank===1||n.rank===2)&&(r.rank===1||r.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${n.rank} and ${r.rank}.`);let a=n.rank===1?n.size:n.shape[1],s=r.rank===1?r.size:r.shape[0];if(F(a===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${a} and ${s}.`),n.rank===1&&r.rank===1){let i=q(n,[1,-1]),o=q(r,[-1,1]),l=je(i,o);return q(l,[])}else if(n.rank===1&&r.rank===2){let i=q(n,[1,-1]),o=q(r,[r.shape[0],r.shape[1]]),l=je(i,o);return q(l,[l.size])}else if(n.rank===2&&r.rank===1){let i=q(r,[-1,1]),o=je(n,i);return q(o,[o.size])}else{let i=q(r,[r.shape[0],r.shape[1]]);return je(n,i)}}var g5=z({dot_:iN});function oN(e){let t={x:R(e,"x","elu")};return D.runKernel(Xi,t)}var Jo=z({elu_:oN});function lN(e){let t=R(e,"x","erf");F(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype=
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${s}).`);if(n<r)throw new Error(`batchDims (${r}) must be less than or equal to axis (${n}).`);for(let h=0;h<r;++h)if(e.shape[h]!==t.shape[h])throw new Error(`x.shape[${h}]: ${e.shape[h]} should be equal to indices.shape[${h}]: ${t.shape[h]}.`);let i=e.shape[n],o=[],l=1,c=1,u=1;for(let h=0;h<r;++h)o.push(e.shape[h]),l*=e.shape[h];for(let h=r;h<n;h++)o.push(e.shape[h]),c*=e.shape[h];for(let h=r;h<a;h++)o.push(t.shape[h]);for(let h=n+1;h<s;h++)o.push(e.shape[h]),u*=e.shape[h];return{batchSize:l,sliceSize:u,outerSize:c,dimSize:i,outputShape:o}}function TC(e){try{return e.map(t=>Vh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function EC(e){return e.map(t=>vu(t))}var Rr={};$e(Rr,{nonMaxSuppressionV3Impl:()=>G5,nonMaxSuppressionV4Impl:()=>H5,nonMaxSuppressionV5Impl:()=>q5,whereImpl:()=>$5});function we(e,t){Array.isArray(e)||(e=[e]),e.forEach(n=>{n!=null&&k.assert(n.dtype!=="complex64",()=>`${t} does not support complex64 tensors in the CPU backend.`)})}var MC=Rr.whereImpl,nx=class extends nu{constructor(){super();this.blockSize=48,this.firstUse=!0,this.data=new sh(this,Pn())}write(e,t,n){this.firstUse&&(this.firstUse=!1,Q().get("IS_NODE")&&C.warn(`
============================
Hi there \u{1F44B}. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.
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============================`));let r={};return this.data.set(r,{values:e,dtype:n,refCount:1}),r}makeTensorInfo(e,t,n){let r;if(t==="string"&&n!=null&&n.length>0&&k.isString(n[0])){let a=n.map(s=>k.encodeString(s));r=this.write(a,e,t)}else r=this.write(n,e,t);return{dataId:r,shape:e,dtype:t}}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,r){this.data.set(e,{values:t,dtype:r,refCount:1})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let r=this.readSync(n.real.dataId),a=this.readSync(n.imag.dataId);return C.mergeRealAndImagArrays(r,a)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(r=>k.decodeString(r))}catch(r){throw new Error("Failed to decode encoded string bytes into utf-8")}return Pe(e.shape,e.dtype,n)}makeOutput(e,t,n){let r=this.write(e,t,n);return Pn().makeTensorFromDataId(r,t,n,this)}disposeData(e){if(this.data.has(e)){let{complexTensorInfos:t}=this.data.get(e);t!=null&&(this.disposeData(t.real.dataId),this.disposeData(t.imag.dataId)),this.data.delete(e)}}disposeIntermediateTensorInfo(e){let t=e.dataId;if(this.data.has(t)){let n=this.data.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}async time(e){let t=k.now();return e(),{kernelMs:k.now()-t}}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(e){we([e],"where");let t=this.readSync(e.dataId);return MC(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}},Yf={};$e(Yf,{addImpl:()=>ax,bincountImpl:()=>Jf,bincountReduceImpl:()=>sx,ceilImpl:()=>ix,concatImpl:()=>Qf,expImpl:()=>ox,expm1Impl:()=>lx,floorImpl:()=>ux,gatherV2Impl:()=>cx,greaterImpl:()=>hx,lessImpl:()=>dx,linSpaceImpl:()=>px,logImpl:()=>fx,maxImpl:()=>mx,maximumImpl:()=>Ax,minimumImpl:()=>yx,multiplyImpl:()=>em,negImpl:()=>gx,notEqualImpl:()=>xx,prodImpl:()=>wx,rangeImpl:()=>nm,rsqrtImpl:()=>_x,simpleAbsImpl:()=>rx,sliceImpl:()=>zd,squaredDifferenceImpl:()=>bx,stridedSliceImpl:()=>vx,subImpl:()=>kx,tileImpl:()=>Ix,topKImpl:()=>Nx,transposeImpl:()=>tm,uniqueImpl:()=>Sx});function rx(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var OC=e=>{let{x:t}=e.inputs,n=e.backend;we(t,"abs");let r=new Float32Array(k.sizeFromShape(t.shape)),a=n.data.get(t.dataId).values;return r=rx(a),n.makeOutput(r,t.shape,"float32")},$C={kernelName:$i,backendName:"cpu",kernelFunc:OC};function St(e){return(t,n,r,a,s)=>{let i=C.assertAndGetBroadcastShape(t,n),o=i.length,l=k.computeStrides(i),c=k.sizeFromShape(i),u=k.getTypedArrayFromDType(s,c),h=t.length,p=n.length,d=k.computeStrides(t),f=k.computeStrides(n),m=C.getBroadcastDims(t,i),A=C.getBroadcastDims(n,i);if(m.length+A.length===0)for(let y=0;y<u.length;++y)u[y]=e(r[y%r.length],a[y%a.length]);else for(let y=0;y<u.length;++y){let g=k.indexToLoc(y,o,l),_=g.slice(-h);m.forEach(N=>_[N]=0);let x=k.locToIndex(_,h,d),w=g.slice(-p);A.forEach(N=>w[N]=0);let b=k.locToIndex(w,p,f);u[y]=e(r[x],a[b])}return[u,i]}}function Sn(e){let{inputs:t,backend:n}=e,{real:r,imag:a}=t,s=n.data.get(r.dataId).values,i=n.data.get(a.dataId).values,o=n.makeTensorInfo(r.shape,"complex64"),l=n.data.get(o.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",s),imag:n.makeTensorInfo(a.shape,"float32",i)},o}var DC={kernelName:fh,backendName:"cpu",kernelFunc:Sn};function Pd(e,t,n="float32"){if(n==="complex64"){let a=Pd(e,t,"float32"),s=Pd(e,t,"float32");return Sn({inputs:{real:a,imag:s},backend:e})}let r=k.makeZerosTypedArray(k.sizeFromShape(t),n);return e.makeTensorInfo(t,n,r)}function Fr(e){let{inputs:t,backend:n}=e,{x:r}=t;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var zC={kernelName:ro,backendName:"cpu",kernelFunc:Fr};function ei(e){let{inputs:t,backend:n}=e,{input:r}=t,a=n.data.get(r.dataId).complexTensorInfos.real
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`),s=a.length.toString().length+2,i=a.map((h,p)=>k.rightPad((p+1).toString(),s)+h),o=0;for(let h=0;h<i.length;h++)o=Math.max(i[h].length,o);let l=i.slice(0,r-1),c=i.slice(r-1,r),u=i.slice(r);console.log(l.join(`
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`)),console.log(t.split(`
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`)[0]),console.log(`%c ${k.rightPad(c[0],o)}`,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(u.join(`
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`))}function ew(e){return Qr(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function tw(e,t){if(ge(e,()=>e.linkProgram(t)),e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function Vd(e,t){if(ge(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function nw(e,t){let n=Qr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ge(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),ge(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function rw(e,t){let n=Qr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ge(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),ge(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function cD(){return Q().getNumber("WEBGL_VERSION")===2?1:4}function aw(e){return Qr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function sw(e,t){let n=Q().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let r=`[${e}x${t}]`;throw new Error("Requested texture size "+r+" is invalid.")}if(e>n||t>n){let r=`[${e}x${t}]`,a=`[${n}x${n}]`;throw new Error("Requested texture size "+r+" greater than WebGL maximum on this browser / GPU "+a+".")}}function iw(e){return Qr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function dm(e,t,n,r,a,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(ge(e,()=>e.bindBuffer(e.ARRAY_BUFFER,r)),ge(e,()=>e.vertexAttribPointer(o,a,e.FLOAT,!1,s,i)),ge(e,()=>e.enableVertexAttribArray(o)),!0)}function ow(e,t,n){xw(e,n),ge(e,()=>e.activeTexture(e.TEXTURE0+n)),ge(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function hD(e,t){xw(e,t),ge(e,()=>e.activeTexture(e.TEXTURE0+t)),ge(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function lw(e,t,n){return Qr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function uw(e,t,n){return e.getUniformLocation(t,n)}function cw(e,t,n,r){ge(e,()=>ow(e,t,r)),ge(e,()=>e.uniform1i(n,r))}function dD(e){ge(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),ge(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),ge(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function Ud(e,t,n){ge(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),ge(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function pm(e,t){ge(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),ge(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Ju(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+hw(e,t))}function hw(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function Qr(e,t,n){let r=ge(e,()=>t());if(r==null)throw new Error(n);return r}function xw(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,r=t+e.TEXTURE0;if(r<e.TEXTURE0||r>n){let a=`[gl.TEXTURE0, gl.TEXTURE${n}]`;throw new Error(`textureUnit must be in ${a}.`)}}function ni(e,t=2){return k.sizeFromShape(e.slice(0,e.length-t))}function ri(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function jd(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[ni(e),...ri(e)]),t}function dw(e,t=!1){let n=Q().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(n=n*2,e=e.map((a,s)=>s>=e.length-2?k.nearestLargerEven(e[s]):e[s]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=k.squeezeShape(e).newShape);let r=k.sizeFromShape(e);if(e.length<=1&&r<=n)return[1,r];if(e.length===2&&e[0]<=n&&e[1]<=n)return e;if(e.length===3&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(e.length===3&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(e.length===4&&e[0]*e[1]
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bool isnan_custom(float val) {
return (val > 0.0 || val < 0.0) ? false : val != 0.0;
}
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)
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`,l="",c=`
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#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)));
}
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`):(e="",t="attribute",n="varying",r="varying",a="texture2D",s="gl_FragColor",i="",o=`
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#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));
}
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`,l=`
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uniform float INFINITY;
bool isinf(float val) {
return abs(val) == INFINITY;
}
bvec4 isinf(vec4 val) {
return equal(abs(val), vec4(INFINITY));
}
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`,c=`
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int round(float value) {
return int(floor(value + 0.5));
}
ivec4 round(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
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`),{version:e,attribute:t,varyingVs:n,varyingFs:r,texture2D:a,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:c}}function si(e,t,n="index"){let r=k.computeStrides(t);return r.map((a,s)=>{let i=`int ${e[s]} = ${n} / ${a}`,o=s===r.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * ${a}`:`index -= ${e[s]} * ${a}`;return`${i}; ${o};`}).join("")}function gm(e){let t=k.computeStrides(e).map(n=>n.toString());return`
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int getFlatIndex(ivec3 coords) {
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return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;
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}
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`}var ww=`
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const float FLOAT_MAX = 1.70141184e38;
const float FLOAT_MIN = 1.17549435e-38;
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lowp vec4 encode_float(highp float v) {
if (isnan(v)) {
return vec4(255, 255, 255, 255);
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}
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highp float av = abs(v);
if(av < FLOAT_MIN) {
return vec4(0.0, 0.0, 0.0, 0.0);
} else if(v > FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
} else if(v < -FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;
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}
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highp vec4 c = vec4(0,0,0,0);
highp float e = floor(log2(av));
highp float m = exp2(fract(log2(av))) - 1.0;
c[2] = floor(128.0 * m);
m -= c[2] / 128.0;
c[1] = floor(32768.0 * m);
m -= c[1] / 32768.0;
c[0] = floor(8388608.0 * m);
highp float ebias = e + 127.0;
c[3] = floor(ebias / 2.0);
ebias -= c[3] * 2.0;
c[2] += floor(ebias) * 128.0;
c[3] += 128.0 * step(0.0, -v);
return c / 255.0;
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}
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`,ID=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=ec.DENSE;let t=nc(e),n=an();this.outputShape=e,this.userCode=`
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ivec3 outCoordsFromFlatIndex(int index) {
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${si(["r","c","d"],e)}
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return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);
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vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getA(rc.x, rc.y, rc.z);
}
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${n.output} = result;
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}
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`}},ND=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ec.DENSE;let t=nc(e),n=an();this.outputShape=e,this.userCode=`
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ivec3 outCoordsFromFlatIndex(int index) {
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${si(["r","c","d"],e)}
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return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);
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vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));
}
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${n.output} = result;
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}
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`}},SD=class{constructor(e){this.variableNames=["A"],this.outTexUsage=Vn.DOWNLOAD;let t=an();this.outputShape=e,this.userCode=`
${ww}
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void main() {
float x = getAAtOutCoords();
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${t.output} = encode_float(x);
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}
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`}},TD=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Vn.DOWNLOAD;let t=an();this.outputShape=e,this.userCode=`
${ww}
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void main() {
ivec3 coords = getOutputCoords();
float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
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${t.output} = encode_float(x);
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}
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`}},ED=class{constructor(e,t,n=!1){this.variableNames=["A"];let r=an(),[a,s]=t;this.outputShape=e;let i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode=`
${gm(e)}
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void main() {
ivec3 coords = getOutputCoords();
int flatIndex = getFlatIndex(coords);
int offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
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int r = flatIndex / ${s};
int c = imod(flatIndex, ${s});
vec2 uv = (vec2(c, r) + halfCR) / vec2(${s}.0, ${a}.0);
vec4 values = ${r.texture2D}(A, uv);
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float result;
if(offset == 0) {
result = values[0];
} else if(offset == 1) {
result = values[1];
} else if(offset == 2) {
result = values[2];
} else {
result = values[3];
}
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${r.output} = vec4(${i}, 0., 0., 0.);
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}
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`}},CD=class{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let r=an(),[a,s]=t;this.outputShape=e;let i="",o="result";n&&(o="floor(result * 255. + 0.5)");for(let l=0;l<=1;l++)for(let c=0;c<=1;c++){let u=l*2+c;i+=`
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localCoords = coords;
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if(localCoords[2] + ${c} < ${e[2]}) {
localCoords[2] += ${c};
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if(localCoords[1] + ${l} < ${e[1]}) {
localCoords[1] += ${l};
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flatIndex = getFlatIndex(localCoords);
offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
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r = flatIndex / ${s};
c = imod(flatIndex, ${s});
uv = (vec2(c, r) + halfCR) / vec2(${s}.0, ${a}.0);
values = ${r.texture2D}(A, uv);
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if(offset == 0) {
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result[${u}] = values[0];
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} else if(offset == 1) {
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result[${u}] = values[1];
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} else if(offset == 2) {
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result[${u}] = values[2];
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} else {
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result[${u}] = values[3];
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}
}
}
`}this.userCode=`
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${gm(e)}
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void main() {
ivec3 coords = getOutputCoords();
vec4 result = vec4(0.);
int flatIndex, r, c, offset;
ivec3 localCoords;
vec2 uv;
vec4 values;
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${i}
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${r.output} = ${o};
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}
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`}},_w={};$e(_w,{bindVertexProgramAttributeStreams:()=>Cw,createBufferFromOutputTexture:()=>Mw,createFloat16MatrixTexture:()=>Nw,createFloat16PackedMatrixTexture:()=>Ew,createFloat32MatrixTexture:()=>Iw,createIndexBuffer:()=>kw,createPackedMatrixTexture:()=>Tw,createUnsignedBytesMatrixTexture:()=>Sw,createVertexBuffer:()=>vw,createVertexShader:()=>bw,downloadByteEncodedFloatMatrixFromOutputTexture:()=>$w,downloadFloat32MatrixFromBuffer:()=>Ow,downloadMatrixFromPackedOutputTexture:()=>zw,downloadPackedMatrixFromBuffer:()=>Dw,getInternalFormatForFloat16MatrixTexture:()=>wm,getInternalFormatForFloat16PackedMatrixTexture:()=>vm,getInternalFormatForFloat32MatrixTexture:()=>xm,getInternalFormatForPackedMatrixTexture:()=>bm,getInternalFormatForUnsignedBytesMatrixTexture:()=>_m,uploadDenseMatrixToTexture:()=>Rw,uploadPixelDataToTexture:()=>Fw});function bw(e){let t=an(),n=`${t.version}
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precision highp float;
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${t.attribute} vec3 clipSpacePos;
${t.attribute} vec2 uv;
${t.varyingVs} vec2 resultUV;
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void main() {
gl_Position = vec4(clipSpacePos, 1);
resultUV = uv;
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}`;return Jx(e,n)}function vw(e){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return nw(e,t)}function kw(e){let t=new Uint16Array([0,1,2,2,1,3]);return rw(e,t)}function rc(e,t,n,r,a,s){sw(t,n);let i=aw(e),o=e.TEXTURE_2D;return ge(e,()=>e.bindTexture(o,i)),ge(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),ge(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),ge(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),ge(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),ge(e,()=>e.texImage2D(o,0,r,t,n,0,a,s,null)),ge(e,()=>e.bindTexture(e.TEXTURE_2D,null)),i}function xm(e){return e.internalFormatFloat}function Iw(e,t,n,r){let[a,s]=tc(t,n);return rc(e,a,s,xm(r),r.textureFormatFloat,e.FLOAT)}function wm(e){return e.internalFormatHalfFloat}function Nw(e,t,n,r){let[a,s]=tc(t,n);return rc(e,a,s,wm(r),r.textureFormatFloat,r.textureTypeHalfFloat)}function _m(e){return e.downloadTextureFormat}function Sw(e,t,n,r){let[a,s]=tc(t,n);return rc(e,a,s,_m(r),e.RGBA,e.UNSIGNED_BYTE)}function bm(e){return e.internalFormatPackedFloat}function Tw(e,t,n,r){let[a,s]=dl(t,n);return rc(e,a,s,bm(r),e.RGBA,e.FLOAT)}function vm(e){return e.internalFormatPackedHalfFloat}function Ew(e,t,n,r){let[a,s]=dl(t,n);return rc(e,a,s,vm(r),e.RGBA,r.textureTypeHalfFloat)}function Cw(e,t,n){let r=0,a=3*4,s=3*4+2*4;return ge(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),dm(e,t,"clipSpacePos",n,3,s,r)&&dm(e,t,"uv",n,2,s,a)}function Rw(e,t,n,r,a,s){ge(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;a instanceof Uint8Array?(i=new Uint8Array(n*r*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*r*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(a),ge(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,r,0,e.RGBA,o,i)),ge(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function Fw(e,t,n){ge(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?ge(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):ge(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),ge(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function Mw(e,t,n,r){let a=e.createBuffer();ge(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,a));let s=4*4*t*n;return ge(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),ge(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),ge(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),a}function Ow(e,t,n){let r=e,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}function $w(e,t,n,r){let[a,s]=tc(t,n),i=4,o=new Uint8Array(yD(t*n,i));return ge(e,()=>e.readPixels(0,0,a,s,r.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function Dw(e,t,n,r,a,s,i,o){let l=e,c=new Float32Array(gD(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,c),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),c}function zw(e,t,n){let r=new Float32Array(t*n*4);return ge(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)),r}var Kd=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=Q().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,Gd(t,e)):this.gl=Mr(t);let n="WEBGL_color_buffer_float",r="EXT_color_buffer_half_float";if(Q().getNumber("WEBGL_VERSION")===1){let a="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=Yu(this.gl,a),Bn(this.gl,s))this.textureHalfFloatExtension=Yu(this.gl,s);else if(Q().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),Bn(this.gl,r))this.colorBufferHalfFloatExtension=Yu(this.gl,r);else if(Q().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",Bn(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(Bn(this.gl,r))this.
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`),i=e.map(d=>FD(d,t,r)).join(`
`),o=t.texShape,l=an(),c=$D(l),u,h,p=PD(l);return t.isPacked?(u=MD(t.logicalShape,o),h=zD(l)):(u=OD(t.logicalShape,o),h=DD(l)),r&&(p+=LD),[p,c,h,s,u,i,n].join(`
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`)}function pl(e){let t=e.shapeInfo.logicalShape;switch(t.length){case 0:return BD(e);case 1:return VD(e);case 2:return UD(e);case 3:return jD(e);case 4:return GD(e);case 5:return HD(e);case 6:return qD(e);default:throw new Error(`${t.length}-D input sampling is not yet supported`)}}function Lw(e){switch(e.shapeInfo.logicalShape.length){case 0:return XD(e);case 1:return KD(e);case 2:return ZD(e);case 3:return YD(e);default:return JD(e)}}function FD(e,t,n=!1){let r="";n?r+=Lw(e):r+=pl(e);let a=e.shapeInfo.logicalShape,s=t.logicalShape;return a.length<=s.length&&(n?r+=QD(e,t):r+=ez(e,t)),r}function MD(e,t){switch(e.length){case 0:return Ww();case 1:return tz(e,t);case 2:return az(e,t);case 3:return nz(e,t);default:return rz(e,t)}}function OD(e,t){switch(e.length){case 0:return Ww();case 1:return sz(e,t);case 2:return cz(e,t);case 3:return iz(e,t);case 4:return oz(e,t);case 5:return lz(e,t);case 6:return uz(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function $D(e){return`
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float sampleTexture(sampler2D textureSampler, vec2 uv) {
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return ${e.texture2D}(textureSampler, uv).r;
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}
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`}function DD(e){return`
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void setOutput(float val) {
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${e.output} = vec4(val, 0, 0, 0);
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}
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`}function zD(e){return`
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void setOutput(vec4 val) {
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${e.output} = val;
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}
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`}function PD(e){return`${e.version}
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precision highp float;
precision highp int;
precision highp sampler2D;
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${e.varyingFs} vec2 resultUV;
${e.defineOutput}
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const vec2 halfCR = vec2(0.5, 0.5);
struct ivec5
{
int x;
int y;
int z;
int w;
int u;
};
struct ivec6
{
int x;
int y;
int z;
int w;
int u;
int v;
};
uniform float NAN;
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${e.defineSpecialNaN}
${e.defineSpecialInf}
${e.defineRound}
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int imod(int x, int y) {
return x - y * (x / y);
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}
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int idiv(int a, int b, float sign) {
int res = a / b;
int mod = imod(a, b);
if (sign < 0. && mod != 0) {
res -= 1;
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}
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return res;
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}
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//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
#define HASHSCALE1 443.8975
float random(float seed){
vec2 p = resultUV * seed;
vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);
p3 += dot(p3, p3.yzx + 19.19);
return fract((p3.x + p3.y) * p3.z);
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}
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${hz}
${dz}
${pz}
`}var hz=`
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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);
}
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`,dz=`
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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);
}
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`,pz=`
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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);
}
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`,LD=`
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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);
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}
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float getChannel(vec4 frag, int dim) {
float modCoord = mod(float(dim), 2.);
return modCoord == 0. ? frag.r : frag.g;
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}
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`;function Ww(){return`
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int getOutputCoords() {
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return 0;
}
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`}function tz(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?`
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int getOutputCoords() {
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return 2 * int(resultUV.x * ${n[1]}.0);
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}
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`:n[1]===1?`
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int getOutputCoords() {
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return 2 * int(resultUV.y * ${n[0]}.0);
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}
`:`
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int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${n[0]}, ${n[1]}));
return 2 * (resTexRC.x * ${n[1]} + resTexRC.y);
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}
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`}function sz(e,t){return t[0]===1?`
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int getOutputCoords() {
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return int(resultUV.x * ${t[1]}.0);
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}
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`:t[1]===1?`
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int getOutputCoords() {
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return int(resultUV.y * ${t[0]}.0);
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}
`:`
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int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
return resTexRC.x * ${t[1]} + resTexRC.y;
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}
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`}function nz(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return`
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${n[0]}, ${n[1]}));
int index = resTexRC.x * ${n[1]} + resTexRC.y;
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int b = index / ${a};
index -= b * ${a};
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int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
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return ivec3(b, r, c);
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}
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`}function iz(e,t){let n=si(["r","c","d"],e);return`
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
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return ivec3(r, c, d);
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}
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`}function rz(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),a=r*Math.ceil(e[e.length-2]/2),s=a,i="",o="b, r, c";for(let l=2;l<e.length-1;l++)s*=e[e.length-l-1],i=`
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int b${l} = index / ${s};
index -= b${l} * ${s};
`+i,o=`b${l}, `+o;return`
ivec${e.length} getOutputCoords() {
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ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${n[0]}, ${n[1]}));
int index = resTexRC.x * ${n[1]} + resTexRC.y;
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${i}
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int b = index / ${a};
index -= b * ${a};
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int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
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return ivec${e.length}(${o});
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}
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`}function oz(e,t){let n=si(["r","c","d","d2"],e);return`
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ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
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return ivec4(r, c, d, d2);
}
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`}function lz(e,t){let n=si(["r","c","d","d2","d3"],e);return`
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ivec5 getOutputCoords() {
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ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]},
${t[1]}));
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int index = resTexRC.x * ${t[1]} + resTexRC.y;
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${n}
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ivec5 outShape = ivec5(r, c, d, d2, d3);
return outShape;
}
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`}function uz(e,t){let n=si(["r","c","d","d2","d3","d4"],e);return`
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ivec6 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
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${n}
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ivec6 result = ivec6(r, c, d, d2, d3, d4);
return result;
}
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`}function az(e,t){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(k.arraysEqual(e,t))return`
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ivec2 getOutputCoords() {
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return 2 * ivec2(resultUV.yx * vec2(${n[0]}, ${n[1]}));
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}
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`;let r=Math.ceil(e[1]/2);return`
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ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${n[0]}, ${n[1]}));
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int index = resTexRC.x * ${n[1]} + resTexRC.y;
int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
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return ivec2(r, c);
}
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`}function cz(e,t){return k.arraysEqual(e,t)?`
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ivec2 getOutputCoords() {
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return ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]}));
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}
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`:e[1]===1?`
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ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
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return ivec2(index, 0);
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}
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`:e[0]===1?`
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ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
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return ivec2(0, index);
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}
`:`
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ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
int r = index / ${e[1]};
int c = index - r * ${e[1]};
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return ivec2(r, c);
}
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`}function ii(e){return`offset${e}`}function XD(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=an();return`
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vec4 ${n}() {
return ${r.texture2D}(${t}, halfCR);
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}
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`}function BD(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return`float ${n}() {return ${t};}`;let[r,a]=e.shapeInfo.texShape;if(r===1&&a===1)return`
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float ${n}() {
return sampleTexture(${t}, halfCR);
}
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`;let[s,i]=e.shapeInfo.texShape,o=ii(t);return`
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float ${n}() {
vec2 uv = uvFromFlat(${s}, ${i}, ${o});
return sampleTexture(${t}, uv);
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}
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`}function KD(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=e.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],s=an();return`
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vec4 ${n}(int index) {
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vec2 uv = packedUVfrom1D(
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${a[0]}, ${a[1]}, index);
return ${s.texture2D}(${t}, uv);
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}
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`}function VD(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return`
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float ${n}(int index) {
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${fl(e)}
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}
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`;let r=e.shapeInfo.texShape,a=r[0],s=r[1];if(s===1&&a===1)return`
float ${n}(int index) {
return sampleTexture(${t}, halfCR);
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}
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`;let i=ii(t);return s===1?`
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float ${n}(int index) {
vec2 uv = vec2(0.5, (float(index + ${i}) + 0.5) / ${a}.0);
return sampleTexture(${t}, uv);
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}
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`:a===1?`
float ${n}(int index) {
vec2 uv = vec2((float(index + ${i}) + 0.5) / ${s}.0, 0.5);
return sampleTexture(${t}, uv);
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}
`:`
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float ${n}(int index) {
vec2 uv = uvFromFlat(${a}, ${s}, index + ${i});
return sampleTexture(${t}, uv);
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}
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`}function ZD(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,s=a[0],i=a[1],o=an();if(a!=null&&k.arraysEqual(t,a))return`
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vec4 ${r}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${i}.0, ${s}.0);
2020-11-16 21:51:46 +01:00
2021-01-18 14:22:51 +01:00
return ${o.texture2D}(${n}, uv);
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}
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`;let l=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],c=Math.ceil(t[1]/2);return`
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vec4 ${r}(int row, int col) {
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vec2 uv = packedUVfrom2D(${c}, ${l[0]}, ${l[1]}, row, col);
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return ${o.texture2D}(${n}, uv);
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}
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`}function UD(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape;if(a!=null&&k.arraysEqual(t,a)){let h=a[0],p=a[1];return`
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float ${r}(int row, int col) {
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vec2 uv = (vec2(col, row) + halfCR) / vec2(${p}.0, ${h}.0);
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return sampleTexture(${n}, uv);
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}
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`}let{newShape:s,keptDims:i}=k.squeezeShape(t),o=s;if(o.length<t.length){let h=ml(e,o),p=["row","col"];return`
${pl(h)}
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float ${r}(int row, int col) {
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return ${r}(${Al(p,i)});
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}
`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col) {
int index = round(dot(vec2(row, col), vec2(${t[1]}, 1)));
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${fl(e)}
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}
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`;let l=a[0],c=a[1],u=ii(n);return c===1?`
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float ${r}(int row, int col) {
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float index = dot(vec3(row, col, ${u}), vec3(${t[1]}, 1, 1));
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vec2 uv = vec2(0.5, (index + 0.5) / ${l}.0);
return sampleTexture(${n}, uv);
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}
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`:l===1?`
float ${r}(int row, int col) {
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float index = dot(vec3(row, col, ${u}), vec3(${t[1]}, 1, 1));
vec2 uv = vec2((index + 0.5) / ${c}.0, 0.5);
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return sampleTexture(${n}, uv);
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}
`:`
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float ${r}(int row, int col) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${t[1]} + col + ${u};
vec2 uv = uvFromFlat(${l}, ${c}, index);
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return sampleTexture(${n}, uv);
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}
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`}function YD(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,s=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(t[0]===1){let h=t.slice(1),p=[1,2],d=ml(e,h),f=["b","row","col"];return`
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${Lw(d)}
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vec4 ${r}(int b, int row, int col) {
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return ${r}(${Al(f,p)});
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}
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`}let i=s[0],o=s[1],l=Math.ceil(t[2]/2),c=l*Math.ceil(t[1]/2),u=an();return`
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vec4 ${r}(int b, int row, int col) {
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vec2 uv = packedUVfrom3D(
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${i}, ${o}, ${c}, ${l}, b, row, col);
return ${u.texture2D}(${n}, uv);
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}
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`}function jD(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[1]*t[2],s=t[2],{newShape:i,keptDims:o}=k.squeezeShape(t),l=i;if(l.length<t.length){let f=ml(e,l),m=["row","col","depth"];return`
${pl(f)}
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float ${r}(int row, int col, int depth) {
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return ${r}(${Al(m,o)});
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}
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`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col, int depth) {
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int index = round(dot(vec3(row, col, depth),
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vec3(${a}, ${s}, 1)));
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${fl(e)}
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}
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`;let c=e.shapeInfo.texShape,u=c[0],h=c[1],p=e.shapeInfo.flatOffset;if(h===a&&p==null)return`
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float ${r}(int row, int col, int depth) {
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float texR = float(row);
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float texC = dot(vec2(col, depth), vec2(${s}, 1));
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vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${h}.0, ${u}.0);
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return sampleTexture(${n}, uv);
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}
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`;if(h===s&&p==null)return`
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float ${r}(int row, int col, int depth) {
float texR = dot(vec2(row, col), vec2(${t[1]}, 1));
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float texC = float(depth);
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vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${h}.0, ${u}.0);
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return sampleTexture(${n}, uv);
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}
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`;let d=ii(n);return`
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float ${r}(int row, int col, int depth) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${a} + col * ${s} + depth + ${d};
vec2 uv = uvFromFlat(${u}, ${h}, index);
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return sampleTexture(${n}, uv);
}
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`}function JD(e){let t=e.shapeInfo.logicalShape,n=t.length,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),s=e.shapeInfo.texShape,i=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],o=i[0],l=i[1],c=Math.ceil(t[n-1]/2),u=c*Math.ceil(t[n-2]/2),h="int b, int row, int col",p=`b * ${u} + (row / 2) * ${c} + (col / 2)`;for(let f=2;f<n-1;f++)h=`int b${f}, `+h,u*=t[n-f-1],p=`b${f} * ${u} + `+p;let d=an();return`
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vec4 ${a}(${h}) {
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int index = ${p};
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int texR = index / ${l};
int texC = index - texR * ${l};
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${l}, ${o});
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return ${d.texture2D}(${r}, uv);
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}
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`}function GD(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[3],s=t[2]*a,i=t[1]*s,{newShape:o,keptDims:l}=k.squeezeShape(t);if(o.length<t.length){let f=ml(e,o),m=["row","col","depth","depth2"];return`
${pl(f)}
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float ${r}(int row, int col, int depth, int depth2) {
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return ${r}(${Al(m,l)});
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}
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`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col, int depth, int depth2) {
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int index = round(dot(vec4(row, col, depth, depth2),
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vec4(${i}, ${s}, ${a}, 1)));
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${fl(e)}
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}
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`;let c=e.shapeInfo.flatOffset,u=e.shapeInfo.texShape,h=u[0],p=u[1];if(p===i&&c==null)return`
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float ${r}(int row, int col, int depth, int depth2) {
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float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
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vec3(${s}, ${a}, 1));
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vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${p}.0, ${h}.0);
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return sampleTexture(${n}, uv);
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}
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`;if(p===a&&c==null)return`
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float ${r}(int row, int col, int depth, int depth2) {
2020-11-16 21:51:46 +01:00
float texR = dot(vec3(row, col, depth),
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vec3(${t[1]*t[2]}, ${t[2]}, 1));
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float texC = float(depth2);
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${p}.0, ${h}.0);
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return sampleTexture(${n}, uv);
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}
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`;let d=ii(n);return`
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float ${r}(int row, int col, int depth, int depth2) {
2020-11-16 21:51:46 +01:00
// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${i} + col * ${s} +
depth * ${a} + depth2;
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vec2 uv = uvFromFlat(${h}, ${p}, index + ${d});
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return sampleTexture(${n}, uv);
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}
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`}function HD(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],s=t[3]*a,i=t[2]*s,o=t[1]*i,{newShape:l,keptDims:c}=k.squeezeShape(t);if(l.length<t.length){let m=ml(e,l),A=["row","col","depth","depth2","depth3"];return`
${pl(m)}
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float ${r}(int row, int col, int depth, int depth2, int depth3) {
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return ${r}(${Al(A,c)});
2020-11-12 18:58:55 +01:00
}
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`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col, int depth, int depth2, int depth3) {
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float index = dot(
vec4(row, col, depth, depth2),
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vec4(${o}, ${i}, ${s}, ${a})) +
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depth3;
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${fl(e)}
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}
2021-01-29 16:26:58 +01:00
`;let u=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,p=h[0],d=h[1];if(d===o&&u==null)return`
2021-01-18 14:22:51 +01:00
float ${r}(int row, int col, int depth, int depth2, int depth3) {
2020-11-16 21:51:46 +01:00
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
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vec4(${i}, ${s}, ${a}, 1));
2020-11-16 21:51:46 +01:00
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${d}.0, ${p}.0);
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return sampleTexture(${n}, uv);
2020-11-12 18:58:55 +01:00
}
2021-01-29 16:26:58 +01:00
`;if(d===a&&u==null)return`
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float ${r}(int row, int col, int depth, int depth2, int depth3) {
2020-11-16 21:51:46 +01:00
float texR = dot(
vec4(row, col, depth, depth2),
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vec4(${t[1]*t[2]*t[3]},
${t[2]*t[3]}, ${t[3]}, 1));
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int texC = depth3;
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${d}.0, ${p}.0);
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return sampleTexture(${n}, uv);
2020-11-12 18:58:55 +01:00
}
2021-02-08 17:39:09 +01:00
`;let f=ii(n);return`
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float ${r}(int row, int col, int depth, int depth2, int depth3) {
2020-11-16 21:51:46 +01:00
// Explicitly use integer operations as dot() only works on floats.
2021-01-18 14:22:51 +01:00
int index = row * ${o} + col * ${i} + depth * ${s} +
depth2 * ${a} + depth3 + ${f};
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vec2 uv = uvFromFlat(${p}, ${d}, index);
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return sampleTexture(${n}, uv);
2020-11-10 02:13:38 +01:00
}
2021-02-08 18:47:38 +01:00
`}function qD(e){let t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:a,keptDims:s}=k.squeezeShape(t);if(a.length<t.length){let A=ml(e,a),y=["row","col","depth","depth2","depth3","depth4"];return`
${pl(A)}
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float ${r}(int row, int col, int depth,
2020-11-16 21:51:46 +01:00
int depth2, int depth3, int depth4) {
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return ${r}(${Al(y,s)});
2020-11-10 02:13:38 +01:00
}
2021-01-29 16:26:58 +01:00
`}let i=t[5],o=t[4]*i,l=t[3]*o,c=t[2]*l,u=t[1]*c;if(e.shapeInfo.isUniform)return`
2021-01-18 14:22:51 +01:00
float ${r}(int row, int col, int depth,
2020-11-16 21:51:46 +01:00
int depth2, int depth3, int depth4) {
int index = round(dot(
vec4(row, col, depth, depth2),
2021-01-29 16:26:58 +01:00
vec4(${u}, ${c}, ${l}, ${o})) +
2020-11-16 21:51:46 +01:00
dot(
vec2(depth3, depth4),
2021-01-18 14:22:51 +01:00
vec2(${i}, 1)));
2021-02-08 18:47:38 +01:00
${fl(e)}
2020-11-10 02:13:38 +01:00
}
2021-01-29 16:26:58 +01:00
`;let h=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,d=p[0],f=p[1];if(f===u&&h==null)return`
2021-01-18 14:22:51 +01:00
float ${r}(int row, int col, int depth,
2020-11-16 21:51:46 +01:00
int depth2, int depth3, int depth4) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
2021-01-29 16:26:58 +01:00
vec4(${c}, ${l}, ${o}, ${i})) +
2020-11-16 21:51:46 +01:00
float(depth4);
vec2 uv = (vec2(texC, texR) + halfCR) /
2021-01-29 16:26:58 +01:00
vec2(${f}.0, ${d}.0);
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return sampleTexture(${n}, uv);
2020-11-12 18:58:55 +01:00
}
2021-01-18 14:22:51 +01:00
`;if(f===i&&h==null)return`
float ${r}(int row, int col, int depth,
2020-11-16 21:51:46 +01:00
int depth2, int depth3, int depth4) {
float texR = dot(vec4(row, col, depth, depth2),
2021-01-18 14:22:51 +01:00
vec4(${t[1]*t[2]*t[3]*t[4]},
${t[2]*t[3]*t[4]},
${t[3]*t[4]},
${t[4]})) + float(depth3);
2020-11-16 21:51:46 +01:00
int texC = depth4;
vec2 uv = (vec2(texC, texR) + halfCR) /
2021-01-29 16:26:58 +01:00
vec2(${f}.0, ${d}.0);
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return sampleTexture(${n}, uv);
2020-11-12 18:58:55 +01:00
}
2021-02-08 17:39:09 +01:00
`;let m=ii(n);return`
2021-01-18 14:22:51 +01:00
float ${r}(int row, int col, int depth,
2020-11-16 21:51:46 +01:00
int depth2, int depth3, int depth4) {
// Explicitly use integer operations as dot() only works on floats.
2021-01-29 16:26:58 +01:00
int index = row * ${u} + col * ${c} + depth * ${l} +
2021-01-18 14:22:51 +01:00
depth2 * ${o} + depth3 * ${i} + depth4 + ${m};
2021-01-29 16:26:58 +01:00
vec2 uv = uvFromFlat(${d}, ${f}, index);
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return sampleTexture(${n}, uv);
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}
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`}function fl(e){let t=e.name,n=k.sizeFromShape(e.shapeInfo.logicalShape);return n<2?`return ${t};`:`
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for (int i = 0; i < ${n}; i++) {
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if (i == index) {
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return ${t}[i];
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}
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}
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`}function QD(e,t){let n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=Pw(e.shapeInfo.logicalShape,t.logicalShape),l=ut(i),c=i-s,u,h=["x","y","z","w","u","v"];s===0?u="":i<2&&o.length>=1?u="coords = 0;":u=o.map(A=>`coords.${h[A+c]} = 0;`).join(`
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`);let p="";i<2&&s>0?p="coords":p=e.shapeInfo.logicalShape.map((A,y)=>`coords.${h[y+c]}`).join(", ");let d="return outputValue;",f=k.sizeFromShape(e.shapeInfo.logicalShape)===1,m=k.sizeFromShape(t.logicalShape)===1;if(s===1&&!f&&!m)d=`
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return vec4(outputValue.xy, outputValue.xy);
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`;else if(f&&!m)i===1?d=`
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return vec4(outputValue.x, outputValue.x, 0., 0.);
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`:d=`
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return vec4(outputValue.x);
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`;else if(o.length){let A=s-2,y=s-1;o.indexOf(A)>-1&&o.indexOf(y)>-1?d="return vec4(outputValue.x);":o.indexOf(A)>-1?d="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(y)>-1&&(d="return vec4(outputValue.xx, outputValue.zz);")}return`
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vec4 ${a}() {
${l} coords = getOutputCoords();
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${u}
vec4 outputValue = get${r}(${p});
${d}
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}
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`}function ez(e,t){let n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&k.arraysEqual(i,s))return`
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float ${a}() {
return sampleTexture(${n}, resultUV);
}
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`;let c=ut(l),u=Pw(e.shapeInfo.logicalShape,t.logicalShape),h=l-o,p,d=["x","y","z","w","u","v"];o===0?p="":l<2&&u.length>=1?p="coords = 0;":p=u.map(m=>`coords.${d[m+h]} = 0;`).join(`
2021-01-29 16:26:58 +01:00
`);let f="";return l<2&&o>0?f="coords":f=e.shapeInfo.logicalShape.map((m,A)=>`coords.${d[A+h]}`).join(", "),`
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float ${a}() {
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${c} coords = getOutputCoords();
${p}
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return get${r}(${f});
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}
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`}function ut(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error(`GPU for rank ${e} is not yet supported`)}function ml(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function Al(e,t){return t.map(n=>e[n]).join(", ")}function fz(e,t,n,r){let a=t.userCode,s=n.map((d,f)=>{let m={logicalShape:d.shape,texShape:d.isUniform?null:d.texData.texShape,isUniform:d.isUniform,isPacked:d.isUniform?!1:d.texData.isPacked,flatOffset:null};return d.texData!=null&&d.texData.slice!=null&&d.texData.slice.flatOffset>0&&(m.flatOffset=d.texData.slice.flatOffset),{name:t.variableNames[f],shapeInfo:m}}),i=s.map(d=>d.shapeInfo),o={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},l=WD(s,o,a,t.packedInputs),c=e.createProgram(l),u=null,h=e.getUniformLocation(c,"NAN",!1);Q().getNumber("WEBGL_VERSION")===1&&(u=e.getUniformLocation(c,"INFINITY",!1));let p={};for(let d=0;d<t.variableNames.length;d++){let f=t.variableNames[d],m=!1;p[f]=e.getUniformLocation(c,f,m),p[`offset${f}`]=e.getUniformLocation(c,`offset${f}`,m)}return{program:t,source:l,webGLProgram:c,uniformLocations:p,inShapeInfos:i,outShapeInfo:o,infLoc:u,nanLoc:h}}function Bw(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach((n,r)=>{let a=n.logicalShape,s=t[r],i=s.shape;if(!k.arraysEqual(a,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${a} and ${i} must match`);if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!k.arraysEqual(o,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${l} must match`)})}function mz(e,t,n,r,a){Bw(t.inShapeInfos,n),Bw([t.outShapeInfo],[r]);let s=r.texData.texture,i=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(s,i[0],i[1]):e.setOutputMatrixTexture(s,i[0],i[1]),e.setProgram(t.webGLProgram),Q().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,Infinity),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((o,l)=>{let c=t.program.variableNames[l],u=t.uniformLocations[c],h=t.uniformLocations[`offset${c}`];if(u!=null){if(o.isUniform){if(k.sizeFromShape(o.shape)<2)e.gl.uniform1f(u,o.uniformValues[0]);else{let p=o.uniformValues;p instanceof Float32Array||(p=new Float32Array(p)),e.gl.uniform1fv(u,p)}return}o.texData.slice!=null&&h!=null&&e.gl.uniform1i(h,o.texData.slice.flatOffset),e.setInputMatrixTexture(o.texData.texture,u,l)}}),a!=null&&a(e,t.webGLProgram),e.executeProgram()}function Az(e,t,n){let r="";t.concat(n).forEach(i=>{let o=i.texData!=null&&i.texData.slice!=null&&i.texData.slice.flatOffset>0,l=i.isUniform?"uniform":i.texData.texShape;r+=`${i.shape}_${l}_${o}`});let a=e.userCode,s=e.constructor.name;return s+="_"+r+"_"+a,s}var{addImpl:yz,bincountImpl:Vw,bincountReduceImpl:gz,ceilImpl:xz,concatImpl:wz,expImpl:_z,expm1Impl:bz,floorImpl:vz,gatherV2Impl:kz,greaterImpl:Iz,lessImpl:Nz,linSpaceImpl:Sz,logImpl:Tz,maxImpl:Ez,maximumImpl:Cz,minimumImpl:Rz,multiplyImpl:Fz,negImpl:Mz,prodImpl:Oz,rangeImpl:$z,rsqrtImpl:Dz,simpleAbsImpl:Uw,sliceImpl:zz,stridedSliceImpl:Pz,subImpl:Lz,tileImpl:Wz,topKImpl:Bz,transposeImpl:km,uniqueImpl:Vz}=Yf;function jw(e,t){return["x","y","z","w","u","v"].slice(0,t).map(n=>`${e}.${n}`)}function sn(e,t){return t===1?[e]:jw(e,t)}function Uz(e,t){if(e===1)return"rc";let n="";for(let r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}var qz=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;let t=e.length;if(t===0)this.userCode=`
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void main() {
setOutput(vec4(getA(), 0., 0., 0.));
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}
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`;else{let n=sn("rc",t),r=ut(t),a=jz(t,e,n),s=Gz(t,e[e.length-1],e[e.length-2],n),i=Hz(e,n);this.userCode=`
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void main() {
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${r} rc = getOutputCoords();
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if(${a}) {
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setOutput(vec4(0));
} else {
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${s}
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setOutput(vec4(${i}));
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}
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}
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`}}};function Xz(e,t){let n=[];for(let r=0;r<=1;r++)for(let a=0;a<=1;a++){let s=`${r===0?"r":"rp1"}, ${a===0?"c":"cp1"}`;for(let i=2;i<e;i++)s=`${t[t.length-1-i]},`+s;n.push(s)}return n}function jz(e,t,n){if(e===1)return`rc > ${t[0]}`;let r="";for(let a=e-2;a<e;a++)r+=`${n[a]} >= ${t[a]}`,a<e-1&&(r+="||");return r}function Gz(e,t,n,r){if(e===1)return"";let a=r.slice(-2);return`
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int r = ${a[0]};
int c = ${a[1]};
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int rp1 = r + 1;
int cp1 = c + 1;
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bool cEdge = cp1 >= ${t};
bool rEdge = rp1 >= ${n};
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`}function Hz(e,t){let n=e.length,r=Xz(n,t);return n===1?`getA(rc),
2021-01-18 14:22:51 +01:00
rc + 1 >= ${e[0]} ? 0. : getA(rc + 1),
0, 0`:`getA(${r[0]}),
cEdge ? 0. : getA(${r[1]}),
rEdge ? 0. : getA(${r[2]}),
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rEdge || cEdge ? 0. : getA(${r[3]})`}var Gw=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let r=0;r<4;r++){let a="thisRC = rc;";r%2==1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),n+=`
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${a}
${r>0?"if(thisRC.y < rows && thisRC.z < cols){":""}
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int flatIndex = getFlatIndex(thisRC);
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ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);
vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));
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result[${r}] =
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getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
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${r>0?"}":""}
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`}this.userCode=`
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${Kz(t)}
${gm(e)}
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void main() {
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ivec3 rc = getOutputCoords();
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vec4 result = vec4(0.);
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ivec3 thisRC;
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int rows = ${e[1]};
int cols = ${e[2]};
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${n}
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setOutput(result);
}
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`}};function Kz(e){return`
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ivec3 inputCoordsFromReshapedOutCoords(int index) {
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${si(["r","c","d"],e)}
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return ivec3(r, c, d);
}
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`}var Zz=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let r=qw(t,n),a=Xw(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);let s=Hw(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}let i;return r===Xt.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===Xt.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===Xt.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===Xt.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===Xt.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,r){if(this.freeTextures==null)return;let a=qw(n,r),s=Xw(t,a,r);s in this.freeTextures||(this.freeTextures[s]=[]);let i=Hw(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),o=Q().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],c=l.indexOf(e);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function Yz(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F||t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error(`Unknown internal format ${t}`)}function Hw(e,t,n,r,a){let s=Jz(t,r),i;if(a){let[l,c]=dl(e[0],e[1]);i=l*c}else{let[l,c]=tc(e[0],e[1]);i=l*c}let o=Yz(n,s);return i*o}function Jz(e,t){switch(e){case Xt.PACKED_2X2_FLOAT32:return bm(t);case Xt.PACKED_2X2_FLOAT16:return vm(t);case Xt.UNPACKED_FLOAT32:return xm(t);case Xt.UNPACKED_FLOAT16:return wm(t);case Xt.PACKED_4X1_UNSIGNED_BYTE:return _m(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function Qz(e){return Q().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?Xt.PACKED_2X2_FLOAT32:Xt.UNPACKED_FLOAT32:e?Xt.PACKED_2X2_FLOAT16:Xt.UNPACKED_FLOAT16}function qw(e,t){if(e===Vn.UPLOAD)return Xt.PACKED_2X2_FLOAT32;if(e===Vn.RENDER||e==null)return Qz(t);if(e===Vn.DOWNLOAD||e===Vn.PIXELS)return Xt.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function Xw(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}var Sa=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode=`
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float unaryOperation(float x) {
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${t}
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}
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void main() {
float x = getAAtOutCoords();
float y = unaryOperation(x);
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setOutput(y);
}
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`}},hr="if (isnan(x)) return x;",eP="return x;",Kw="return abs(x);",tP="return (x >= 0.0) ? x : (exp(x) - 1.0);",nP=hr+`
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return (x < 0.0) ? 0.0 : x;
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`,rP=hr+`
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return (x < 0.0) ? 0.0 : min(6.0, x);
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`,Zd="return x;",aP="return x;",sP=`
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vec4 result;
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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);
2020-11-16 21:51:46 +01:00
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return result;
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`,iP=`
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vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
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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;
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return result;
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`,oP=`
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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;
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`,yl=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=`
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vec4 unaryOperation(vec4 x) {
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${t}
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}
void main() {
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vec4 x = getAAtOutCoords();
vec4 y = unaryOperation(x);
setOutput(y);
}
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`}},lP=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=sn("rc",t),r=ut(t),a=Uz(t,n),s=n.slice(-2),i=t<=1?"rc":`vec2(${s.join(",")})`;this.userCode=`
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void main() {
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${r} rc = getOutputCoords();
vec4 packedInput = getA(${a});
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setOutput(getChannel(packedInput, ${i}));
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}
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`}},uP=Rr.whereImpl,cP=1e-7,hP=1e-4,Im={};function dP(e){return e in Im||(Im[e]={}),Im[e]}var pP=128,fP=600;function mP(){return Q().global.screen==null?1024:Q().global.screen.height*Q().global.screen.width*window.devicePixelRatio*fP/1024/1024}var Yd=class extends nu{constructor(e){super();if(this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.warnedAboutMemory=!1,this.warnedAboutCPUBackend=!1,this.pendingDeletes=0,this.disposed=!1,!Q().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=Mr(Q().getNumber("WEBGL_VERSION"));this.binaryCache=dP(Q().getNumber("WEBGL_VERSION")),this.gpgpu=new Kd(t),this.canvas=t.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpu=e,this.binaryCache={},this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;this.textureManager=new Zz(this.gpgpu),this.numMBBeforeWarning=mP(),this.texData=new sh(this,Pn())}numDataIds(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes}write(e,t,n){if((Q().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||Q().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let r={};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:Vn.UPLOAD,refCount:1,complexParentRefCount:0}),r}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}decComplexRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.complexParentRefCount>0&&t.refCount--}}move(e,t,n,r){if(Q().getBool("DEBUG")&&this.checkNumericalProblems(t),r==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:Vn.UPLOAD,refCount:1,complexParentRefCount:0})}disposeIntermediateTensorInfo(e){let t=e.dataId;if(this.texData.has(t)){let n=this.texData.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}readSync(e){let t=this.texData.get(e),{values:n,dtype:r,complexTensorInfos:a,slice:s,shape:i,isPacked:o}=t;if(s!=null){let h;o?h=new yl(i,Zd):h=new Sa(i,Zd);let p=this.runWebGLProgram(h,[{dataId:e,shape:i,dtype:r}],r),d=this.readSync(p.dataId);return this.disposeIntermediateTensorInfo(p),d}if(n!=null)return this.convertAndCacheOnCPU(e);if(r==="string")return n;let l=this.activeTimers!=null,c;l&&(c=k.now());let u;if(r==="complex64"){let h=this.readSync(a.real.dataId),p=this.readSync(a.imag.dataId);u=C.mergeRealAndImagArrays(h,p)}else u=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=k.now()-c),this.convertAndCacheOnCPU(e,u)}async read(e){if(this.pendingRead.has(e)){let d=this.pendingRead.get(e);return new Promise(f=>d.push(f))}let t=this.texData.get(e),{values:n,shape:r,slice:a,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(a!=null){let d;o?d=new yl(r,Zd):d=new Sa(r,Zd);let f=this.runWebGLProgram(d,[{dataId:e,shape:r,dtype:s}],s),m=this.read(f.dataId);return this.disposeIntermediateTensorInfo(f),m}if(n!=null)return this.convertAndCacheOnCPU(e);if(!Q().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&Q().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,c;if(s!=="complex64"&&Q().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(e);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture,...nc(r))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let u;if(s==="complex64"){let d=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),f=d[0],m=d[1];u=C.mergeRealAndImagArrays(f,m)}else if(l==null)u=this.getValuesFromTexture(e);else{let d=k.sizeFromShape(r);u=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}c!=null&&this.disposeIntermediateTensorInfo(c);let h=this.convertAndCacheOnCPU(e,u),p=this.pendingRead.get(e);return this.pendingRead.delete(e),p.forEach(d=>d(h)),this.pendingDisposal.
2020-11-16 21:51:46 +01:00
if (isnan(a)) return a;
if (isnan(b)) return b;
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`,gl=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=C.assertAndGetBroadcastShape(t,n),this.userCode=`
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float binaryOperation(float a, float b) {
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${e}
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}
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void main() {
float a = getAAtOutCoords();
float b = getBAtOutCoords();
setOutput(binaryOperation(a, b));
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}
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`}},Jd=`
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result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
2021-02-08 17:39:09 +01:00
`,ac=class{constructor(e,t,n,r=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=C.assertAndGetBroadcastShape(t,n);let a=this.outputShape.length,s="";if(r)if(a===0||k.sizeFromShape(this.outputShape)===1)s=`
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result.y = 0.;
result.z = 0.;
result.w = 0.;
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`;else if(s=`
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${ut(a)} coords = getOutputCoords();
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`,a===1)s+=`
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result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;
result.z = 0.;
result.w = 0.;
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`;else{let i=sn("coords",a);s+=`
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bool nextRowOutOfBounds =
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(${i[a-2]} + 1) >= ${this.outputShape[a-2]};
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bool nextColOutOfBounds =
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(${i[a-1]} + 1) >= ${this.outputShape[a-1]};
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result.y = nextColOutOfBounds ? 0. : result.y;
result.z = nextRowOutOfBounds ? 0. : result.z;
result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
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`}this.userCode=`
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vec4 binaryOperation(vec4 a, vec4 b) {
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${e}
2020-11-08 18:32:31 +01:00
}
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void main() {
vec4 a = getAAtOutCoords();
vec4 b = getBAtOutCoords();
vec4 result = binaryOperation(a, b);
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${s}
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setOutput(result);
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}
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`}};function Tn(e){let{inputs:t,backend:n}=e,{x:r}=t;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var gP={kernelName:ro,backendName:"webgl",kernelFunc:Tn};function Ta(e){let{inputs:t,backend:n}=e,{real:r,imag:a}=t,s=n.makeTensorInfo(r.shape,"complex64"),i=n.texData.get(s.dataId),o=Tn({inputs:{x:r},backend:n}),l=n.texData.get(o.dataId);l.complexParentRefCount++;let c=Tn({inputs:{x:a},backend:n}),u=n.texData.get(c.dataId);return u.complexParentRefCount++,i.complexTensorInfos={real:o,imag:c},s}var xP={kernelName:fh,backendName:"webgl",kernelFunc:Ta},Qw="return (a < 0.) ? b * a : a;",e_=`
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vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
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`;function wP(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{alpha:s}=r,i=n.makeTensorInfo([],"float32",k.createScalarValue(s,"float32")),o=Q().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ac(e_,a.shape,i.shape):new gl(Qw,a.shape,i.shape),l=n.runWebGLProgram(o,[a,i],a.dtype);return n.disposeIntermediateTensorInfo(i),l}var _P={kernelName:cs,backendName:"webgl",kernelFunc:wP},t_="return (a < 0.) ? b * a : a;",n_=`
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vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
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`;function bP(e){let{inputs:t,backend:n}=e,{x:r,alpha:a}=t,s=Q().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ac(n_,r.shape,a.shape):new gl(t_,r.shape,a.shape);return n.runWebGLProgram(s,[r,a],r.dtype)}var vP={kernelName:bs,backendName:"webgl",kernelFunc:bP},r_="if (isnan(x)) return x;",kP=`
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if (isnan(a)) return a;
if (isnan(b)) return b;
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`,IP=`
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result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
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`;function Ke({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:r}){return({inputs:a,backend:s})=>{let{x:i}=a,o=s,l=r||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let h=o.texData.get(i.dataId),p=n(h.values,l);return o.makeTensorInfo(i.shape,l,p)}let c=Q().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,u;return c?u=new yl(i.shape,t):u=new Sa(i.shape,e),o.runWebGLProgram(u,[i],l)}}function Kt({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:r=!1,cpuKernelImpl:a,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:c}=i,u=o;if(r&&l.dtype==="complex64"){let f=u.texData.get(l.dataId),m=u.texData.get(c.dataId),[A,y]=[[f.complexTensorInfos.real,m.complexTensorInfos.real],[f.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(_=>{let[x,w]=_,b={dataId:x.dataId,dtype:x.dtype,shape:l.shape},N={dataId:w.dataId,dtype:w.dtype,shape:c.shape},T=new gl(e,l.shape,c.shape);return u.runWebGLProgram(T,[b,N],Zn(x.dtype,w.dtype))}),g=Ta({inputs:{real:A,imag:y},backend:u});return u.disposeIntermediateTensorInfo(A),u.disposeIntermediateTensorInfo(y),g}let h=s||Zn(l.dtype,c.dtype);if(u.shouldExecuteOnCPU([l,c])&&a!=null){let f=u.texData.get(l.dataId),m=u.texData.get(c.dataId),[A,y]=a(l.shape,c.shape,f.values,m.values,h),g=u.makeTensorInfo(y,h),_=u.texData.get(g.dataId);return _.values=A,g}let p=Q().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,d;return p?d=new ac(t,l.shape,c.shape,n):d=new gl(e,l.shape,c.shape),u.runWebGLProgram(d,[l,c],h)}}function Qd(e,t=!1){if(e==="linear")return t?aP:eP;if(e==="relu")return t?iP:nP;if(e==="elu")return t?sP:tP;if(e==="relu6")return t?oP:rP;if(e==="prelu")return t?n_:t_;if(e==="leakyrelu")return t?e_:Qw;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var a_=class{constructor(e,t,n,r=!1,a=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;let c=r?e[1]:e[2],u=Math.ceil(c/2),h=r?"i * 2, rc.y":"rc.y, i * 2",p=a?"rc.z, i * 2":"i * 2, rc.z",d=r?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=a?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",A="";i&&(o?m=`vec4 activation(vec4 a) {
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vec4 b = getPreluActivationWeightsAtOutCoords();
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${i}
}`:l?m=`vec4 activation(vec4 a) {
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vec4 b = getLeakyreluAlphaAtOutCoords();
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${i}
}`:m=`vec4 activation(vec4 x) {
${i}
}`,A="result = activation(result);");let y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let g="rc.x",_="rc.x";e[0]<t[0]?g=`int(min(float(rc.x), ${e[0]-1}.))`:t[0]<e[0]&&(_=`int(min(float(rc.x), ${t[0]-1}.))`),this.userCode=`
${m}
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const float sharedDimension = ${u}.0;
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vec4 dot2x2ARowBCol(ivec3 rc) {
vec4 result = vec4(0);
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for (int i = 0; i < ${u}; i++) {
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int batchA = ${g};
int batchB = ${_};
vec4 a = getMatrixA(batchA, ${h});
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vec4 b = getMatrixB(batchB, ${p});
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// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
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result += (${d[0]} * ${f[0]});
result += (${d[1]} * ${f[1]});
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}
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return result;
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}
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void main() {
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ivec3 rc = getOutputCoords();
vec4 result = dot2x2ARowBCol(rc);
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${y}
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${A}
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setOutput(result);
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}
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`}},s_={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},i_=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=C.assertAndGetBroadcastShape(t,n),this.userCode=`
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float binaryOpComplex(
float areal, float aimag, float breal, float bimag) {
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${e}
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}
void main() {
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float areal = getARealAtOutCoords();
float aimag = getAImagAtOutCoords();
float breal = getBRealAtOutCoords();
float bimag = getBImagAtOutCoords();
setOutput(binaryOpComplex(areal, aimag, breal, bimag));
}
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`}},o_="return a * b;";function l_(e){let{inputs:t,backend:n}=e,{a:r,b:a}=t,s=C.upcastType(r.dtype,a.dtype);if(r.dtype==="complex64"){let o=n.texData.get(r.dataId),l=n.texData.get(a.dataId),c=new i_(s_.REAL,r.shape,a.shape),u=new i_(s_.IMAG,r.shape,a.shape),h=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:r.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:r.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:a.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:a.shape}],p=n.runWebGLProgram(c,h,"float32"),d=n.runWebGLProgram(u,h,"float32"),f=Ta({inputs:{real:p,imag:d},backend:n});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),f}if(n.shouldExecuteOnCPU([r,a])){let o=n.texData.get(r.dataId),l=n.texData.get(a.dataId),[c,u]=Fz(r.shape,a.shape,o.values,l.values,s),h=n.makeTensorInfo(u,s),p=n.texData.get(h.dataId);return p.values=c,h}let i;return Q().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new ac(o_,r.shape,a.shape):i=new gl(o_,r.shape,a.shape),n.runWebGLProgram(i,[r,a],s)}var NP={kernelName:gs,backendName:"webgl",kernelFunc:l_};function SP(e,t,n){let r=[ni(e.shape),...ri(e.shape)],a={dtype:e.dtype,shape:r,dataId:e.dataId},s=[ni(t),...ri(t)],i=new Gw(s,r),o=!0,l=n.runWebGLProgram(i,[a],e.dtype,null,o);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function ye(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{shape:s}=r,i=n,o=k.sizeFromShape(a.shape),l=k.inferFromImplicitShape(s,o),c=k.sizeFromShape(l);k.assert(o===c,()=>`The new shape (${l}) has ${c} elements and the old shape (${a.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`);let u=i.texData.get(a.dataId);return u.isPacked&&!Qu(a.shape,l)&&!(u.texture!==null&&Qu(u.shape,l))?SP(a,l,i):(i.incRef(a.dataId),{dataId:a.dataId,shape:l,dtype:a.dtype})}var TP={kernelName:bo,backendName:"webgl",kernelFunc:ye},u_=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:r,inSize:a,outSize:s}=e;this.outputShape=[r,s];let i=Math.floor(n/4)*4,o=n%4,l="sumValue += dot(values, ones);";if(t!=null){let u=1/t;l=`sumValue += dot(values * ${k.isInt(u)?u.toPrecision(2):u}, ones);`}let c="";a%n>0&&(c=`
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if (inIdx < 0 || inIdx >= ${a}) {
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return 0.0;
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}
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`),this.userCode=`
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
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float getValue(int batch, int inIdx) {
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${c}
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return getX(batch, inIdx);
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}
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void main() {
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ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
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int inOffset = outIdx * ${n};
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float sumValue = 0.0;
2020-11-16 21:51:46 +01:00
2021-01-18 14:22:51 +01:00
for (int i = 0; i < ${i}; i += 4) {
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int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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2021-01-18 14:22:51 +01:00
${l}
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}
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int inIdx = inOffset + ${i};
if (${o===1}) {
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vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);
2020-11-16 21:51:46 +01:00
2021-01-18 14:22:51 +01:00
${l}
} else if (${o===2}) {
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vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1), 0.0, 0.0);
2020-11-16 21:51:46 +01:00
2021-01-18 14:22:51 +01:00
${l}
} else if (${o===3}) {
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vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2), 0.0);
2020-11-16 21:51:46 +01:00
2021-01-18 14:22:51 +01:00
${l}
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}
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setOutput(sumValue);
}
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`}},EP=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:r,inSize:a,outSize:s}=e;this.outputShape=[r,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let c=Math.floor(n/4)*4,u=n%4,h=`
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if (${t==="sum"}) {
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sumValue += dot(values, ones);
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} else if (${t==="prod"}) {
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vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);
prodValue *= tmp[0] * tmp[1];
} else {
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minMaxValue = ${o}(values, minMaxValue);
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}
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`,p="vec4";t==="all"?(i="1.0",h=`
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bool reducedAllValue = all(values);
float floatedReducedAllValue = float(reducedAllValue);
allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
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`,p="bvec4"):t==="any"&&(i="0.0",h=`
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bool reducedAnyValue = any(values);
float floatedReducedAnyValue = float(reducedAnyValue);
anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
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`,p="bvec4");let d="";a%n>0&&(d=`
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if (inIdx < 0 || inIdx >= ${a}) {
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return initializationValue;
}
`),this.userCode=`
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const float initializationValue = ${i};
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const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float getValue(int batch, int inIdx) {
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${d}
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return getX(batch, inIdx);
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}
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void main() {
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ivec2 coords = getOutputCoords();
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int batch = coords[0];
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int outIdx = coords[1];
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int inOffset = outIdx * ${n};
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vec4 minMaxValue = vec4(${i});
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float prodValue = 1.0;
float sumValue = 0.0;
float allValue = 1.0;
float anyValue = 0.0;
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for (int i = 0; i < ${c}; i += 4) {
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int inIdx = inOffset + i;
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${p} values = ${p}(
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getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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${h}
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}
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int inIdx = inOffset + ${c};
if (${u===1}) {
${p} values = ${p}(
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getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
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${h}
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} else if (${u===2}) {
${p} values = ${p}(
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getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
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${h}
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} else if (${u===3}) {
${p} values = ${p}(
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getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
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${h}
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}
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setOutput(${l});
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}
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`}};function CP(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],r=C.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}function oi(e,t,n,r){let a=CP(e.shape),s=e;for(let i=0;i<a.length;i++){let{inSize:o,windowSize:l,outSize:c}=a[i],u,h;n==="mean"?u=i===0?new u_({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c},o):new u_({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c}):u=new EP({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:c},n),h=s,s=r.runWebGLProgram(u,[s],t),h.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(h)}return s}var FP=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[t[s]];this.outputShape=n,this.rank=n.length;let r=ut(this.rank),a=RP(t);this.userCode=`
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void main() {
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${r} resRC = getOutputCoords();
setOutput(getA(${a}));
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}
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`}};function RP(e){let t=e.length;if(t>6)throw Error(`Transpose for rank ${t} is not yet supported`);let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t);for(let a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}var MP=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(e.length);for(let c=0;c<n.length;c++)n[c]=e[t[c]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let r=ut(this.rank),a=jw("rc",this.rank),s=new Array(this.rank);for(let c=0;c<t.length;c++)s[t[c]]=a[c];let i=`vec2(${s.slice(-2).join()})`,o=`++${a[this.rank-1]} < ${n[this.rank-1]}`,l=`getChannel(getA(${s.join()}), ${i})`;this.userCode=`
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void main() {
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${r} rc = getOutputCoords();
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vec4 result = vec4(0.);
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result[0] = ${l};
if(${o}) {
result[1] = ${l};
}
--${a[this.rank-1]};
if(++${a[this.rank-2]} < ${n[this.rank-2]}) {
result[2] = ${l};
if(${o}) {
result[3] = ${l};
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}
}
setOutput(result);
}
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`}};function ep(e,t,n){let r=Q().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new MP(e.shape,t):new FP(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}function OP(e,t,n,r){let a=t,s=e.shape.length,i=k.parseAxisParam(a,e.shape),o=i,l=C.getAxesPermutation(o,s),c=l!=null,u=e;c&&(u=ep(e,l,r),o=C.getInnerMostAxes(o.length,s)),C.assertAxesAreInnerMostDims("sum",o,s);let[h,p]=C.computeOutAndReduceShapes(u.shape,o),d=h;n&&(d=C.expandShapeToKeepDim(h,i));let f=k.sizeFromShape(p),m=k.sizeFromShape(e.shape)/f,A=ye({inputs:{x:u},attrs:{shape:[m,f]},backend:r}),y=jh(e.dtype),g=oi(A,y,"sum",r),_=ye({inputs:{x:g},attrs:{shape:d},backend:r});return r.disposeIntermediateTensorInfo(A),r.disposeIntermediateTensorInfo(g),c&&r.disposeIntermediateTensorInfo(u),_}function Nm(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r;return OP(a,s,i,n)}var $P={kernelName:Fs,backendName:"webgl",kernelFunc:Nm};function fn(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{perm:s}=r,i=n,o=a.shape.length,l=new Array(o);for(let u=0;u<l.length;u++)l[u]=a.shape[s[u]];let c;if(i.shouldExecuteOnCPU([a])){let u=i.texData.get(a.dataId).values,h=km(u,a.shape,a.dtype,s,l);c=i.makeTensorInfo(l,a.dtype);let p=i.texData.get(c.dataId);p.values=h}else c=ep(a,s,i);return c}var DP={kernelName:zs,backendName:"webgl",kernelFunc:fn},c_=1e3;function tp({a:e,b:t,transposeA:n,transposeB:r,backend:a,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:o=0,activation:l=null}){let c=e.shape.length,u=t.shape.length,h=n?e.shape[c-2]:e.shape[c-1],p=r?t.shape[u-1]:t.shape[u-2],d=n?e.shape[c-1]:e.shape[c-2],f=r?t.shape[u-2]:t.shape[u-1],m=e.shape.slice(0,-2),A=t.shape.slice(0,-2),y=k.sizeFromShape(m),g=k.sizeFromShape(A),_=y===g||y===1||g===1;k.assert(c>=2&&u>=2&&_,()=>`Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input batch dimensions of (${m}) and (${A}).`);let x=(y>g?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([d,f]);k.assert(h===p,()=>`Error in matMul: inner shapes (${h}) and (${p}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${r} must match.`);let w=n?[y,h,d]:[y,d,h],b=r?[g,f,p]:[g,p,f],N=ye({inputs:{x:e},backend:a,attrs:{shape:w}}),T=ye({inputs:{x:t},backend:a,attrs:{shape:b}}),E=[N,T],M=Math.max(y,g),$=n?N.shape[1]:N.shape[2],P=s!=null,V=i!=null,H=l==="leakyrelu",U=l!=null?Qd(l,!0):null,K=P||V||H||U!=null,X;if((d===1||f===1)&&$>c_&&K===!1){let Z=N,ae=T;n&&(Z=fn({inputs:{x:N},backend:a,attrs:{perm:[0,2,1]}}),E.push(Z)),r&&(ae=fn({inputs:{x:T},backend:a,attrs:{perm:[0,2,1]}}),E.push(ae));let J=f!==1,oe=f===1,ne=Z;J&&(ne=ye({inputs:{x:Z},backend:a,attrs:{shape:[M,$,1]}}),E.push(ne));let ce=f===1?2:1,ue=ae;oe&&(ue=ye({inputs:{x:ae},backend:a,attrs:{shape:[M,1,$]}}),E.push(ue));let pe=l_({inputs:{a:ne,b:ue},backend:a});X=Nm({inputs:{x:pe},backend:a,attrs:{axis:ce,keepDims:!0}}),E.push(pe)}else{let Z=Zn(e.dtype,t.dtype),ae=new a_(w,b,[M,d,f],n,r,P,U,V,H),J=[N,T];if(s!=null&&J.push(s),V&&J.push(i),H){let oe=a.makeTensorInfo([],"float32",k.createScalarValue(o,"float32"));J.push(oe),E.push(oe)}X=a.runWebGLProgram(ae,J,Z)}let ee=ye({inputs:{x:X},backend:a,attrs:{shape:x}});E.push(X);for(let Z of E)a.disposeIntermediateTensorInfo(Z);return ee}function zP(e){let{inputs:t,backend:n,attrs:r}=e,{a,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:c,activation:u,leakyreluAlpha:h}=r;return tp({a,b:s,transposeA:l,transposeB:c,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:h,activation:u})}var PP={kernelName:Ps,backendName:"webgl",kernelFunc:zP},h_="return abs(x);";function LP(e){let{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])&&r.dtype!=="complex64"){let s=n.texData.get(r.dataId),i=Uw(s.values);return n.makeTensorInfo(r.shape,r.dtype,i)}let a;return Q().getBool("WEBGL_PACK_UNARY_OPERATIONS")?a=new yl(r.shape,h_):a=new Sa(r.shape,h_),n.runWebGLProgram(a,[r],r.dtype)}var WP={kernelName:$i,backendName:"webgl",kernelFunc:LP},BP=hr+`
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if (abs(x) > 1.) {
return NAN;
}
return acos(x);
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`,VP=Ke({opSnippet:BP}),UP={kernelName:Di,backendName:"webgl",kernelFunc:VP},jP=hr+`
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if (x < 1.0) return NAN;
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return log(x + sqrt(x * x - 1.0));`,GP=Ke({opSnippet:jP}),HP={kernelName:zi,backendName:"webgl",kernelFunc:GP},d_="return a + b;",qP=Kt({opSnippet:d_,packedOpSnippet:d_,supportsComplex:!0,cpuKernelImpl:yz}),XP={kernelName:da,backendName:"webgl",kernelFunc:qP},KP=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((a,s)=>`T${s}`);let n=[];this.variableNames.forEach(a=>{n.push(`float v${a} = get${a}AtOutCoords();`)});let r=this.variableNames.map(a=>`v${a}`).join(" + ");this.userCode=`
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void main() {
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${n.join(`
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`)}
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float result = ${r};
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setOutput(result);
}
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`}},ZP=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((a,s)=>`T${s}`);let n=[];this.variableNames.forEach(a=>{n.push(`vec4 v${a} = get${a}AtOutCoords();`)});let r=this.variableNames.map(a=>`v${a}`).join(" + ");this.userCode=`
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void main() {
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${n.join(`
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`)}
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vec4 result = ${r};
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setOutput(result);
}
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`}};function np(e){let{inputs:t,backend:n}=e,r=t;if(r.length===1)return Tn({inputs:{x:r[0]},backend:n});if(r.length>Q().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(r.length/2),l=np({inputs:r.slice(0,o),backend:n}),c=np({inputs:r.slice(o),backend:n});return np({inputs:[l,c],backend:n})}let a=r.map(o=>o.dtype).reduce((o,l)=>Zn(o,l)),s=r.map(o=>o.shape),i=Q().getBool("WEBGL_PACK")?new ZP(r[0].shape,s):new KP(r[0].shape,s);return n.runWebGLProgram(i,r,a)}var YP={kernelName:Xa,backendName:"webgl",kernelFunc:np};function JP(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=k.parseAxisParam(s,a.shape),c=l,u=C.getAxesPermutation(c,o),h=a;u!=null&&(h=fn({inputs:{x:a},backend:n,attrs:{perm:u}}),c=C.getInnerMostAxes(c.length,o)),C.assertAxesAreInnerMostDims("all",c,o);let[p,d]=C.computeOutAndReduceShapes(h.shape,c),f=k.sizeFromShape(d),m=ye({inputs:{x:h},backend:n,attrs:{shape:[-1,f]}}),A=oi(m,m.dtype,"all",n),y;if(i){let g=C.expandShapeToKeepDim(p,l);y=ye({inputs:{x:A},backend:n,attrs:{shape:g}})}else y=ye({inputs:{x:A},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(A),u!=null&&n.disposeIntermediateTensorInfo(h),y}var QP={kernelName:uh,backendName:"webgl",kernelFunc:JP};function eL(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=k.parseAxisParam(s,a.shape),c=l,u=C.getAxesPermutation(c,o),h=a;u!=null&&(h=fn({inputs:{x:a},backend:n,attrs:{perm:u}}),c=C.getInnerMostAxes(c.length,o)),C.assertAxesAreInnerMostDims("any",c,o);let[p,d]=C.computeOutAndReduceShapes(h.shape,c),f=k.sizeFromShape(d),m=ye({inputs:{x:h},backend:n,attrs:{shape:[-1,f]}}),A=oi(m,m.dtype,"any",n),y;if(i){let g=C.expandShapeToKeepDim(p,l);y=ye({inputs:{x:A},backend:n,attrs:{shape:g}})}else y=ye({inputs:{x:A},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(A),u!=null&&n.disposeIntermediateTensorInfo(h),y}var tL={kernelName:ch,backendName:"webgl",kernelFunc:eL},nL=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:r,batchSize:a,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[a,s];let i=t==="max"?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
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int inOffset = outIdx * ${r};
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int bestIndex = inOffset;
float bestValue = getA(batch, bestIndex);
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for (int i = 0; i < ${r}; i++) {
int inIdx = ${o};
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float candidate = getA(batch, inIdx);
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if (candidate ${i} bestValue) {
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bestValue = candidate;
bestIndex = inIdx;
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}
}
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setOutput(float(bestIndex));
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}
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`}},rL=class{constructor(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,k.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let a=e[e.length-1],s=Math.ceil(a/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),r||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=ut(o),c=sn("coords",o),u,h;if(s===1){h=o+1;let N=ut(h);u=`
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${N} sourceLocR = ${N}(${c.join()}, 0);
++${c[o-1]};
${N} sourceLocG = ${N}(${c.join()}, 0);
++${c[o-2]};
${N} sourceLocA = ${N}(${c.join()}, 0);
--${c[o-1]};
${N} sourceLocB = ${N}(${c.join()}, 0);
--${c[o-2]};`}else h=o,u=`
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${l} sourceLocR = coords;
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++${c[o-1]};
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${l} sourceLocG = coords;
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++${c[o-2]};
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${l} sourceLocA = coords;
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--${c[o-1]};
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${l} sourceLocB = coords;
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--${c[o-2]};`;let p=["x","y","z","w","u","v"].slice(0,h),d="."+p[h-1],f=p.map(N=>"int "+N),m=sn("sourceLocR",h-1).concat("inIdx.r"),A=sn("sourceLocG",h-1).concat("inIdx.g"),y=sn("sourceLocB",h-1).concat("inIdx.b"),g=sn("sourceLocA",h-1).concat("inIdx.a"),_=n==="max"?"greaterThan":"lessThan",x=r?"":`
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inIdx = round(vec4(getBestIndicesAChannel(${m.join()}),
getBestIndicesAChannel(${A.join()}),
getBestIndicesAChannel(${y.join()}),
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getBestIndicesAChannel(${g.join()})));`,w=`vec4(
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getAChannel(${m.join()}),
hasNextCol ? getAChannel(${A.join()}) : 0.,
hasNextRow ? getAChannel(${y.join()}) : 0.,
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hasNextRow && hasNextCol ? getAChannel(${g.join()}) : 0.)`,b=r?"":`
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float getBestIndicesAChannel(${f.join()}) {
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return getChannel(getBestIndicesA(${p.join()}),
vec2(${p.slice(-2).join()}));
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}`;this.userCode=`
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float getAChannel(${f.join()}) {
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return getChannel(getA(${p.join()}),
vec2(${p.slice(-2).join()}));
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}
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${b}
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void main() {
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${l} coords = getOutputCoords();
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bool hasNextCol = ${c[o-1]} < ${i[o-1]-1};
bool hasNextRow = ${c[o-2]} < ${i[o-2]-1};
${u}
ivec4 srcIdx = ivec4(sourceLocR${d}, sourceLocG${d},
sourceLocB${d}, sourceLocA${d}) * ${t};
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ivec4 inIdx = srcIdx;
vec4 bestIndex = vec4(inIdx);
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vec4 bestValue = ${w};
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for (int i = 0; i < ${t}; i++) {
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inIdx = srcIdx;
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${x}
vec4 candidate = ${w};
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bvec4 nan = isnan(candidate);
bvec4 replace = bvec4(
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vec4(${_}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));
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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);
}
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`}};function p_(e,t,n,r=null){let a=t.shape[0],s=t.shape[1];r!=null&&(a=r.shape[0],s=r.shape[1]);let i=C.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:a,outSize:Math.ceil(s/i)},l=new nL(o,n,r==null),c=[t];r!=null&&c.push(r);let u=e.runWebGLProgram(l,c,"int32");if(u.shape[1]===1)return u;let h=p_(e,t,n,u);return e.disposeIntermediateTensorInfo(u),h}function f_(e,t,n,r=null){let a=r!=null?r.shape:t.shape,s=a[a.length-1],i=C.computeOptimalWindowSize(s),o=new rL(a,i,n,r==null),l=r==null?[t]:[t,r],c=e.runWebGLProgram(o,l,"int32");if(c.shape.length===t.shape.length){let u=f_(e,t,n,c);return e.disposeIntermediateTensorInfo(c),u}return c}function m_(e,t,n,r){let a=[n];if(C.assertAxesAreInnerMostDims("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,t.shape.length),!Q().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],[i,o]=C.computeOutAndReduceShapes(t.shape,a),l=k.sizeFromShape(o),c=ye({inputs:{x:t},backend:e,attrs:{shape:[-1,l]}});s.push(c);let u=p_(e,c,r);s.push(u);let h=ye({inputs:{x:u},backend:e,attrs:{shape:i}});return s.forEach(p=>e.disposeIntermediateTensorInfo(p)),h}return f_(e,t,r)}function aL(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s}=r,i=k.parseAxisParam(s,a.shape),o=C.getAxesPermutation(i,a.shape.length),l=a,c=[];o!=null&&(l=fn({inputs:{x:a},backend:n,attrs:{perm:o}}),c.push(l),i=C.getInnerMostAxes(i.length,l.shape.length)),C.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let u=m_(n,l,i[0],"max");return c.forEach(h=>n.disposeIntermediateTensorInfo(h)),u}var sL={kernelName:Ka,backendName:"webgl",kernelFunc:aL};function iL(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s}=r,i=k.parseAxisParam(s,a.shape),o=C.getAxesPermutation(i,a.shape.length),l=a,c=[];o!=null&&(l=fn({inputs:{x:a},backend:n,attrs:{perm:o}}),c.push(l),i=C.getInnerMostAxes(i.length,l.shape.length)),C.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let u=m_(n,l,i[0],"min");return c.forEach(h=>n.disposeIntermediateTensorInfo(h)),u}var oL={kernelName:su,backendName:"webgl",kernelFunc:iL},lL=hr+`
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if (abs(x) > 1.) {
return NAN;
}
return asin(x);
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`,uL=Ke({opSnippet:lL}),cL={kernelName:Pi,backendName:"webgl",kernelFunc:uL},hL=hr+"return log(x + sqrt(x * x + 1.0));",dL=Ke({opSnippet:hL}),pL={kernelName:Li,backendName:"webgl",kernelFunc:dL},fL=hr+`
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return atan(x);
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`,mL=Ke({opSnippet:fL}),AL={kernelName:Wi,backendName:"webgl",kernelFunc:mL},yL=kP+`
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return atan(a, b);
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`,gL=`
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vec4 result = atan(a, b);
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+IP+`
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return result;
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`,xL=Kt({opSnippet:yL,packedOpSnippet:gL}),wL={kernelName:Vi,backendName:"webgl",kernelFunc:xL},_L=hr+`
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if ((x < -1.0) || (x > 1.0)) return NAN;
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return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,bL=Ke({opSnippet:_L}),vL={kernelName:Bi,backendName:"webgl",kernelFunc:bL},sc=class{constructor(e,t,n,r=!1,a=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,c=e.dilationWidth,u=e.effectiveFilterHeight,h=e.effectiveFilterWidth,p=e.padInfo.top,d=e.padInfo.left;this.outputShape=e.outShape;let f=t==="avg",m=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,A=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,y="0.0";if(f||(y="-1.0 / 1e-20"),n){let N=">=";this.userCode=`
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const ivec2 strides = ivec2(${i}, ${o});
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const ivec2 pads = ivec2(${p}, ${d});
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void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d = coords[3];
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ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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// 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;
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for (int wR = 0; wR < ${u};
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wR += ${l}) {
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int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${h};
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wC += ${c}) {
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int xC = xCCorner + wC;
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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float value = getX(batch, xR, xC, d);
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// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix(
value, minMaxValue, minMaxValueFound);
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if (value ${N} currMinMaxValue) {
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minMaxValue = value;
minMaxValueFound = 1.0;
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minMaxPosition = ${r?a?m:A:`wR * ${h} + wC`};
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}
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}
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}
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setOutput(float(minMaxPosition));
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}
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`;return}let g="max",_=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(_="avgValue / count");let x=Math.floor(s/4)*4,w=s%4,b=`
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if (${f}) {
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avgValue += dot(values, ones);
} else {
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minMaxValue = ${g}(values, minMaxValue);
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}
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`;this.userCode=`
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const ivec2 strides = ivec2(${i}, ${o});
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const ivec2 pads = ivec2(${p}, ${d});
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const float initializationValue = ${y};
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const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
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float count = 0.0;
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float getValue(int batch, int xR, int xC, int d) {
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if (xC < 0 || xC >= ${e.inWidth}) {
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return initializationValue;
}
count += 1.0;
return getX(batch, xR, xC, d);
}
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void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d = coords[3];
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ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
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vec4 minMaxValue = vec4(${y});
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float avgValue = 0.0;
count = 0.0;
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for (int wR = 0; wR < ${u};
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wR += ${l}) {
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int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
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}
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for (int wC = 0; wC < ${x}; wC += 4) {
int xC = xCCorner + wC * ${c};
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vec4 values = vec4(
getValue(batch, xR, xC, d),
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getValue(batch, xR, xC + ${c}, d),
getValue(batch, xR, xC + 2 * ${c}, d),
getValue(batch, xR, xC + 3 * ${c}, d)
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);
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${b}
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}
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int xC = xCCorner + ${x};
if (${w===1}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
initializationValue,
initializationValue,
initializationValue
);
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${b}
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} else if (${w===2}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
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getValue(batch, xR, xC + ${c}, d),
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initializationValue,
initializationValue
);
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${b}
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} else if (${w===3}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
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getValue(batch, xR, xC + ${c}, d),
getValue(batch, xR, xC + 2 * ${c}, d),
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initializationValue
);
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${b}
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}
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}
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setOutput(${_});
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}
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`}},Sm=class{constructor(e,t,n,r=!1,a=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,c=e.dilationDepth,u=e.dilationHeight,h=e.dilationWidth,p=e.effectiveFilterDepth,d=e.effectiveFilterHeight,f=e.effectiveFilterWidth,m=e.padInfo.front,A=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;let g=t==="avg",_="0.0";if(g||(_="-1.0 / 1e-20"),n){let E=">=";this.userCode=`
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const ivec3 strides =
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ivec3(${i}, ${o}, ${l});
const ivec3 pads = ivec3(${m}, ${A}, ${y});
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
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ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
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// 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;
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for (int wD = 0; wD < ${p};
wD += ${c}) {
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int xD = xDCorner + wD;
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if (xD < 0 || xD >= ${e.inDepth}) {
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continue;
}
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for (int wR = 0; wR < ${d};
wR += ${u}) {
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int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${f};
wC += ${h}) {
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int xC = xCCorner + wC;
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if (xC < 0 || xC >= ${e.inWidth}) {
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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);
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if (value ${E} currMinMaxValue) {
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minMaxValue = value;
minMaxValueFound = 1.0;
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minMaxPosition = ${r?a?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${d} * ${f} +
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wR * ${f} + wC`};
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}
}
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}
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}
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setOutput(float(minMaxPosition));
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}
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`;return}let x="max",w=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(w="avgValue / count");let b=Math.floor(s/4)*4,N=s%4,T=`
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if (${g}) {
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avgValue += dot(values, ones);
} else {
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minMaxValue = ${x}(values, minMaxValue);
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}
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`;this.userCode=`
const ivec3 strides =
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ivec3(${i}, ${o}, ${l});
const ivec3 pads = ivec3(${m}, ${A}, ${y});
const float initializationValue = ${_};
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const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
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float count = 0.0;
float getValue(int batch, int xD, int xR, int xC, int ch) {
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if (xC < 0 || xC >= ${e.inWidth}) {
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return initializationValue;
}
count += 1.0;
return getX(batch, xD, xR, xC, ch);
}
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void main() {
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ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
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ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
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// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
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vec4 minMaxValue = vec4(${_});
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float avgValue = 0.0;
count = 0.0;
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for (int wD = 0; wD < ${p};
wD += ${c}) {
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int xD = xDCorner + wD;
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if (xD < 0 || xD >= ${e.inDepth}) {
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continue;
}
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for (int wR = 0; wR < ${d};
wR += ${u}) {
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int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${b}; wC += 4) {
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int xC = xCCorner + wC * ${h};
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
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getValue(batch, xD, xR, xC + ${h}, ch),
getValue(batch, xD, xR, xC + 2 * ${h}, ch),
getValue(batch, xD, xR, xC + 3 * ${h}, ch)
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);
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${T}
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}
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int xC = xCCorner + ${b};
if (${N===1}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
initializationValue,
initializationValue,
initializationValue
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);
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${T}
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} else if (${N===2}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
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getValue(batch, xD, xR, xC + ${h}, ch),
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initializationValue,
initializationValue
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);
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${T}
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} else if (${N===3}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
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getValue(batch, xD, xR, xC + ${h}, ch),
getValue(batch, xD, xR, xC + 2 * ${h}, ch),
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initializationValue
);
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${T}
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}
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}
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setOutput(${w});
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}
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}
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`}};function kL(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t;hl(a,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=r,c=1;k.assert(C.eitherStridesOrDilationsAreOne(i,c),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let u=C.computePool2DInfo(a.shape,s,i,c,o,l);if(u.filterWidth===1&&u.filterHeight===1&&k.arraysEqual(u.inShape,u.outShape))return Tn({inputs:{x:a},backend:n});let h=new sc(u,"avg",!1);return n.runWebGLProgram(h,[a],"float32")}var IL={kernelName:Za,backendName:"webgl",kernelFunc:kL};function NL(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:c}=r,u=[1,1,1],h=C.computePool3DInfo(a.shape,s,i,u,o,l,c),p=new Sm(h,"avg",!1);return n.runWebGLProgram(p,[a],"float32")}var SL={kernelName:iu,backendName:"webgl",kernelFunc:NL},TL=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=o-1-e.padInfo.top,u=l-1-e.padInfo.left,h=1/(t*n);this.userCode=`
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const ivec2 pads = ivec2(${c}, ${u});
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const float avgMultiplier = float(${h});
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void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
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ivec2 dyRCCorner = coords.yz - pads;
int dyRCorner = dyRCCorner.x;
int dyCCorner = dyRCCorner.y;
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// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
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float dotProd = 0.0;
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for (int wR = 0; wR < ${o};
wR += ${s}) {
float dyR = float(dyRCorner + wR) / ${r}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
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continue;
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}
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int idyR = int(dyR);
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for (int wC = 0; wC < ${l};
wC+= ${i}) {
float dyC = float(dyCCorner + wC) / ${a}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
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continue;
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}
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int idyC = int(dyC);
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float dyValue = getDy(b, idyR, idyC, d);
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dotProd += dyValue * avgMultiplier;
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}
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}
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setOutput(dotProd);
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}
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`}},EL=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,c=e.dilationWidth,u=e.effectiveFilterDepth,h=e.effectiveFilterHeight,p=e.effectiveFilterWidth,d=u-1-e.padInfo.front,f=h-1-e.padInfo.top,m=p-1-e.padInfo.left,A=1/(t*n*r);this.userCode=`
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const ivec3 pads = ivec3(${d}, ${f}, ${m});
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const float avgMultiplier = float(${A});
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void main() {
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ivec5 coords = getOutputCoords();
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int batch = coords.x;
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int ch = coords.u;
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ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
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// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
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// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int wD = 0; wD < ${u};
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wD += ${o}) {
float dyD = float(dyDCorner + wD) / ${a}.0;
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if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
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continue;
}
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int idyD = int(dyD);
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for (int wR = 0; wR < ${h};
wR += ${l}) {
float dyR = float(dyRCorner + wR) / ${s}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
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fract(dyR) > 0.0) {
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continue;
}
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int idyR = int(dyR);
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for (int wC = 0; wC < ${p};
wC += ${c}) {
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float dyC = float(dyCCorner + wC) / ${i}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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float dyValue = getDy(batch, idyD, idyR, idyC, ch);
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dotProd += dyValue * avgMultiplier;
}
}
}
setOutput(dotProd);
}
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`}};function CL(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s,{filterSize:o,strides:l,pad:c,dimRoundingMode:u}=r,h=[1,1,1],p=C.computePool3DInfo(i.shape,o,l,h,c,u),d=new EL(p);return n.runWebGLProgram(d,[a],i.dtype)}var RL={kernelName:dh,backendName:"webgl",kernelFunc:CL};function FL(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s;hl([a,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:c}=r,u=C.computePool2DInfo(i.shape,o,l,1,c),h=new TL(u);return n.runWebGLProgram(h,[a],i.dtype)}var ML={kernelName:hh,backendName:"webgl",kernelFunc:FL};function OL(e){let{inputs:t,backend:n,attrs:r}=e,{a,b:s}=t,{transposeA:i,transposeB:o}=r;return tp({a,b:s,transposeA:i,transposeB:o,backend:n})}var $L={kernelName:Ya,backendName:"webgl",kernelFunc:OL},DL=class{constructor(e,t,n,r,a,s){this.outputShape=[],this.variableNames=["x","mean","variance"],C.assertAndGetBroadcastShape(e,t),C.assertAndGetBroadcastShape(e,n);let i="0.0";r!=null&&(C.assertAndGetBroadcastShape(e,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";a!=null&&(C.assertAndGetBroadcastShape(e,a),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
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void main() {
float x = getXAtOutCoords();
float mean = getMeanAtOutCoords();
float variance = getVarianceAtOutCoords();
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float offset = ${i};
float scale = ${o};
float inv = scale * inversesqrt(variance + float(${s}));
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setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
}
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`}},zL=class{constructor(e,t,n,r,a,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],C.assertAndGetBroadcastShape(e,t),C.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";r!=null&&(C.assertAndGetBroadcastShape(e,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";a!=null&&(C.assertAndGetBroadcastShape(e,a),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
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void main() {
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vec4 offset = ${i};
vec4 scale = ${o};
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vec4 x = getXAtOutCoords();
vec4 mean = getMeanAtOutCoords();
vec4 variance = getVarianceAtOutCoords();
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vec4 inv = scale * inversesqrt(variance + vec4(${s}));
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setOutput((x - mean) * inv + offset);
}
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`}},PL=({inputs:e,backend:t,attrs:n})=>{let{x:r,mean:a,variance:s,offset:i,scale:o}=e;k.assert(a.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),k.assert(i==null||a.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),k.assert(o==null||a.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let c=[r,a,s],u=null;i!=null&&(u=i.shape,c.push(i));let h=null;o!=null&&(h=o.shape,c.push(o));let p=Q().getBool("WEBGL_PACK_NORMALIZATION")?new zL(r.shape,a.shape,s.shape,u,h,l):new DL(r.shape,a.shape,s.shape,u,h,l);return t.runWebGLProgram(p,c,c[0].dtype)},LL={kernelName:ls,backendName:"webgl",kernelFunc:PL},BL=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=ut(this.rank),n=`uniform int start[${this.rank}];`,r=WL(this.rank),a,s=e.map((i,o)=>`sourceLoc.${Tm[o]} = start[${o}] + coords.${Tm[o]};`);a=`
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${t} sourceLoc;
${t} coords = getOutputCoords();
${s.join(`
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`)}
`,this.userCode=`
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${n}
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void main() {
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${a}
setOutput(getSource(${r}));
}
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`}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}},Tm=["x","y","z","w","u","v"];function WL(e){if(e===1)return"sourceLoc";if(e<=6)return Tm.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var VL=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;let t=ut(this.rank),n=sn("coords",this.rank),r=sn("sourceLoc",this.rank),a=this.rank===1?"sourceLoc":`vec2(${r.slice(-2).join()})`,s=`getChannel(getSource(${r.join()}), ${a})`,i=`
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result.x = ${s};
if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
++${r[this.rank-1]};
result.y = ${s};
--${r[this.rank-1]};
}
`,o=this.rank===1?"":`
--${n[this.rank-1]};
if (++${n[this.rank-2]} < ${e[this.rank-2]}) {
++${r[this.rank-2]};
result.z = ${s};
if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
++${r[this.rank-1]};
result.w = ${s};
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}
}
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`,l=this.rank<=4?`sourceLoc = coords +
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${t}(${e.map((c,u)=>`start[${u}]`).join()});`:e.map((c,u)=>`${r[u]} = ${n[u]} + start[${u}];`).join(`
2021-01-03 16:41:56 +01:00
`);this.userCode=`
uniform int start[${this.rank}];
void main() {
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${t} coords = getOutputCoords();
${t} sourceLoc;
${l}
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vec4 result = vec4(0.);
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${i}
${o}
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setOutput(result);
}
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`}getCustomSetupFunc(e){if(e.length!==this.rank)throw Error(`The rank (${this.rank}) of the program must match the length of start (${e.length})`);return(t,n)=>{this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null)||t.gl.uniform1iv(this.startLoc,e)}}};function UL(e,t,n,r){let a=r.texData.get(e.dataId),s=r.makeTensorInfo(n,e.dtype),i=r.texData.get(s.dataId);Object.assign(i,a),i.complexParentRefCount=0,i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=nn.computeFlatOffset(t,k.computeStrides(e.shape));a.slice&&(o+=a.slice.flatOffset),i.slice={flatOffset:o,origDataId:a.slice&&a.slice.origDataId||e.dataId};let l=r.dataRefCount.get(i.slice.origDataId)||1;return r.dataRefCount.set(i.slice.origDataId,l+1),s}function ic(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{begin:s,size:i}=r,[o,l]=nn.parseSliceParams(a,s,i);if(nn.assertParamsValid(a,o,l),k.sizeFromShape(l)===0)return n.makeTensorInfo(l,a.dtype,[]);if(n.shouldExecuteOnCPU([a])||a.dtype==="string"){let h=n.texData.get(a.dataId),p=zz(h.values,o,l,a.shape,a.dtype);return n.makeTensorInfo(l,a.dtype,p)}let{isPacked:c}=n.texData.get(a.dataId),u=nn.isSliceContinous(a.shape,o,l);if(c||!u){let h=Q().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new VL(l):new BL(l),p=h.getCustomSetupFunc(o);return n.runWebGLProgram(h,[a],a.dtype,p)}return n.uploadToGPU(a.dataId),UL(a,o,l,n)}var jL={kernelName:No,backendName:"webgl",kernelFunc:ic},GL=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockShape:s,crops:i}=r;k.assert(a.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((g,_)=>g*_),l=C.getReshaped(a.shape,s,o),c=C.getPermuted(l.length,s.length),u=C.getReshapedPermuted(a.shape,s,o),h=C.getSliceBeginCoords(i,s.length),p=C.getSliceSize(u,i,s.length),d=[],f=ye({inputs:{x:a},backend:n,attrs:{shape:l}}),m=fn({inputs:{x:f},backend:n,attrs:{perm:c}}),A=ye({inputs:{x:m},backend:n,attrs:{shape:u}}),y=ic({inputs:{x:A},backend:n,attrs:{begin:h,size:p}});return d.push(f),d.push(m),d.push(A),d.forEach(g=>n.disposeIntermediateTensorInfo(g)),y},HL={kernelName:ou,backendName:"webgl",kernelFunc:GL};function qL(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,weights:s}=t,{size:i}=r,o=n.readSync(a.dataId),l=n.readSync(s.dataId),c=Vw(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,c)}var XL={kernelName:ph,backendName:"webgl",kernelFunc:qL},KL="return float(a != b);",A_=Kt({opSnippet:KL,dtype:"bool"}),ZL={kernelName:fo,backendName:"webgl",kernelFunc:A_};function oc(e){let{inputs:t,backend:n}=e,{input:r}=t,a=n.texData.get(r.dataId);return Tn({inputs:{x:a.complexTensorInfos.real},backend:n})}var YL={kernelName:Oh,backendName:"webgl",kernelFunc:oc},JL="return float(int(x));";function QL(e,t){let n=new Sa(e.shape,JL),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}function Em(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{dtype:s}=r;if(s==="complex64"){if(a.dtype==="complex64")return Tn({inputs:{x:a},backend:n});let i=Nt(a.shape),o=Em({inputs:{x:a},backend:n,attrs:{dtype:"float32"}}),l=Ta({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(a.dtype==="complex64"){let i=oc({inputs:{input:a},backend:n}),o=Em({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!k.hasEncodingLoss(a.dtype,s)){let i=Tn({inputs:{x:a},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(s==="int32")return QL(a,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",k.getTypedArrayFromDType("bool",1)),o=A_({inputs:{a,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error(`Error in Cast: failed to cast ${a.dtype} to ${s}`)}var eW={kernelName:Ja,backendName:"webgl",kernelFunc:Em},y_="return ceil(x);",tW=Ke({opSnippet:y_,packedOpSnippet:y_,cpuKernelImpl:xz}),nW={kernelName:Ui,backendName:"webgl",kernelFunc:tW},rW=class{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode=`
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uniform float minVal;
uniform float maxVal;
2020-11-16 21:51:46 +01:00
2021-01-03 16:41:56 +01:00
void main() {
float value = getAAtOutCoords();
if (isnan(value)) {
setOutput(value);
return;
}
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2021-01-03 16:41:56 +01:00
setOutput(clamp(value, minVal, maxVal));
}
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`}getCustomSetupFunc(e,t){return(n,r)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}},aW=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode=`
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uniform float minVal;
uniform float maxVal;
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void main() {
vec4 value = getAAtOutCoords();
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if (any(isnan(value))) {
setOutput(value);
return;
}
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setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
}
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`}getCustomSetupFunc(e,t){return(n,r)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(r,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(r,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}};function sW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{clipValueMin:s,clipValueMax:i}=r,o;Q().getBool("WEBGL_PACK_CLIP")?o=new aW(a.shape):o=new rW(a.shape);let l=o.getCustomSetupFunc(s,i);return n.runWebGLProgram(o,[a],a.dtype,l)}var iW={kernelName:pa,backendName:"webgl",kernelFunc:sW},oW=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=`
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void main() {
float re = abs(getRealAtOutCoords());
float im = abs(getImagAtOutCoords());
float mx = max(re, im);
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// 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))
);
}
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`}};function g_(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function lW(e){let{inputs:t,backend:n}=e,{x:r}=t,a=n.texData.get(r.dataId),s=new oW(r.shape),i=[g_(r,a.complexTensorInfos.real),g_(r,a.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}var uW={kernelName:lu,backendName:"webgl",kernelFunc:lW},cW=class{constructor(e){this.outputShape=[],this.outputShape=C.computeOutShape(e,1),this.variableNames=e.map((s,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s<t.length;s++)t[s]=t[s-1]+e[s][1];let n=[`if (yC < ${t[0]}) setOutput(getT0(yR, yC));`];for(let s=1;s<t.length;s++){let i=t[s-1];n.push(`else if (yC < ${t[s]}) setOutput(getT${s}(yR, yC-${i}));`)}let r=t.length,a=t[t.length-1];n.push(`else setOutput(getT${r}(yR, yC-${a}));`),this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
int yR = coords.x;
int yC = coords.y;
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${n.join(`
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`)}
}
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`}},hW=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=C.computeOutShape(e,t);let n=this.outputShape,r=n.length,a=ut(r),s=sn("coords",r),i=["x","y","z","w","u","v"].slice(0,r);this.variableNames=e.map((f,m)=>`T${m}`);let o=new Array(e.length-1);o[0]=e[0][t];for(let f=1;f<o.length;f++)o[f]=o[f-1]+e[f][t];let l=i[t],c=i.slice(-2),u=i.join(),h=`if (${l} < ${o[0]}) {
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return getChannel(
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getT0(${u}), vec2(${c.join()}));
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}`;for(let f=1;f<o.length;f++){let m=o[f-1];h+=`
if (${l} < ${o[f]} && ${l} >= ${o[f-1]}) {
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return getChannel(
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getT${f}(${rp(i,l,m)}),
vec2(${rp(c,l,m)}));
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}`}let p=o.length,d=o[o.length-1];h+=`
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return getChannel(
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getT${p}(${rp(i,l,d)}),
vec2(${rp(c,l,d)}));`,this.userCode=`
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float getValue(${i.map(f=>"int "+f)}) {
${h}
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}
void main() {
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${a} coords = getOutputCoords();
vec4 result = vec4(getValue(${s}), 0., 0., 0.);
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${s[r-1]} = ${s[r-1]} + 1;
if (${s[r-1]} < ${n[r-1]}) {
result.g = getValue(${s});
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}
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${s[r-2]} = ${s[r-2]} + 1;
if (${s[r-2]} < ${n[r-2]}) {
result.a = getValue(${s});
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}
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${s[r-1]} = ${s[r-1]} - 1;
if (${s[r-2]} < ${n[r-2]} &&
${s[r-1]} < ${n[r-1]}) {
result.b = getValue(${s});
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}
setOutput(result);
}
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`}};function rp(e,t,n){let r=e.indexOf(t);return e.map((a,s)=>s===r?`${a} - ${n}`:a).join()}function ap(e){let{inputs:t,backend:n}=e,{input:r}=t,a=n.texData.get(r.dataId);return Tn({inputs:{x:a.complexTensorInfos.imag},backend:n})}var dW={kernelName:Sh,backendName:"webgl",kernelFunc:ap};function xl(e,t,n){let r=e[0].dtype;if(r==="complex64"){let c=e.map(f=>oc({inputs:{input:f},backend:n})),u=e.map(f=>ap({inputs:{input:f},backend:n})),h=xl(c,t,n),p=xl(u,t,n),d=Ta({inputs:{real:h,imag:p},backend:n});return c.forEach(f=>n.disposeIntermediateTensorInfo(f)),u.forEach(f=>n.disposeIntermediateTensorInfo(f)),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),d}if(r==="string"){let{tensors2D:c,outShape:u}=x_(e,t,n),h=c.map(A=>({vals:n.readSync(A.dataId),shape:A.shape})),p=c[0].shape[0]===1,d=wz(h,u,r,p),f=C.computeOutShape(e.map(A=>A.shape),t),m=n.makeTensorInfo(f,r,d);return c.forEach(A=>n.disposeIntermediateTensorInfo(A)),m}if(e.length>Q().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(e.length/2),u=xl(e.slice(0,c),t,n),h=xl(e.slice(c),t,n),p=xl([u,h],t,n);return n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(h),p}if(Q().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){let c=new hW(e.map(u=>u.shape),t);return n.runWebGLProgram(c,e,r)}let{tensors2D:a,outShape:s}=x_(e,t,n),i=new cW(a.map(c=>c.shape)),o=n.runWebGLProgram(i,a,r);a.forEach(c=>n.disposeIntermediateTensorInfo(c));let l=ye({inputs:{x:o},attrs:{shape:s},backend:n});return n.disposeIntermediateTensorInfo(o),l}function x_(e,t,n){let r=C.computeOutShape(e.map(a=>a.shape),t);return{tensors2D:e.map(a=>ye({inputs:{x:a},attrs:{shape:[-1,k.sizeFromShape(a.shape.slice(t))]},backend:n})),outShape:r}}function w_(e){let{inputs:t,backend:n,attrs:r}=e,{axis:a}=r,s=k.parseAxisParam(a,t[0].shape)[0],i=C.computeOutShape(t.map(c=>c.shape),s);if(k.sizeFromShape(i)===0)return n.makeTensorInfo(i,t[0].dtype,[]);let o=t.filter(c=>k.sizeFromShape(c.shape)>0);if(o.length===1)return Tn({inputs:{x:o[0]},backend:n});let l=o.map(c=>c.shape);return C.assertParamsConsistent(l,s),xl(o,s,n)}var pW={kernelName:ji,backendName:"webgl",kernelFunc:w_},__=class{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,c=e.dilationHeight,u=e.dilationWidth,h=e.filterHeight,p=e.filterWidth,d=Math.floor(e.inChannels/4)*4,f=e.inChannels%4,m=e.dataFormat==="channelsLast",A=m?1:2,y=m?2:3,g=m?3:1,_="",x="";n&&(r?_=`float activation(float a) {
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float b = getPreluActivationWeightsAtOutCoords();
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${n}
}`:a?_=`float activation(float a) {
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float b = getLeakyreluAlphaAtOutCoords();
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${n}
}`:_=`
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float activation(float x) {
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${n}
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}
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`,x="result = activation(result);");let w=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
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${_}
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const ivec2 strides = ivec2(${o}, ${l});
const ivec2 pads = ivec2(${s}, ${i});
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void main() {
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ivec4 coords = getOutputCoords();
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int batch = coords[0];
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int d2 = coords[${g}];
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ivec2 xRCCorner =
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ivec2(coords[${A}], coords[${y}]) * strides - pads;
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int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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// 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;
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for (int wR = 0; wR < ${h}; wR++) {
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int xR = xRCorner + wR * ${c};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${p}; wC++) {
int xC = xCCorner + wC * ${u};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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for (int d1 = 0; d1 < ${d}; d1 += 4) {
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vec4 wValues = vec4(
getW(wR, wC, d1, d2),
getW(wR, wC, d1 + 1, d2),
getW(wR, wC, d1 + 2, d2),
getW(wR, wC, d1 + 3, d2)
);
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if (${m}) {
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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);
}
}
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if (${f===1}) {
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if (${m}) {
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dotProd +=
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getX(batch, xR, xC, ${d}) *
getW(wR, wC, ${d}, d2);
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} else {
dotProd +=
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getX(batch, ${d}, xR, xC) *
getW(wR, wC, ${d}, d2);
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}
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} else if (${f===2}) {
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vec2 wValues = vec2(
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getW(wR, wC, ${d}, d2),
getW(wR, wC, ${d} + 1, d2)
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);
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if (${m}) {
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vec2 xValues = vec2(
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getX(batch, xR, xC, ${d}),
getX(batch, xR, xC, ${d} + 1)
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);
dotProd += dot(xValues, wValues);
} else {
vec2 xValues = vec2(
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getX(batch, ${d}, xR, xC),
getX(batch, ${d} + 1, xR, xC)
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);
dotProd += dot(xValues, wValues);
}
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} else if (${f===3}) {
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vec3 wValues = vec3(
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getW(wR, wC, ${d}, d2),
getW(wR, wC, ${d} + 1, d2),
getW(wR, wC, ${d} + 2, d2)
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);
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if (${m}) {
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vec3 xValues = vec3(
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getX(batch, xR, xC, ${d}),
getX(batch, xR, xC, ${d} + 1),
getX(batch, xR, xC, ${d} + 2)
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);
dotProd += dot(xValues, wValues);
} else {
vec3 xValues = vec3(
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getX(batch, ${d}, xR, xC),
getX(batch, ${d} + 1, xR, xC),
getX(batch, ${d} + 2, xR, xC)
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);
dotProd += dot(xValues, wValues);
}
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}
}
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}
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float result = dotProd;
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${w}
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${x}
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setOutput(result);
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}
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`}},fW=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,c=e.dilationWidth,u=e.filterDepth,h=e.filterHeight,p=e.filterWidth,d=Math.floor(e.inChannels/4)*4,f=e.inChannels%4;this.userCode=`
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const ivec3 strides = ivec3(${a}, ${s}, ${i});
const ivec3 pads = ivec3(${t}, ${n}, ${r});
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void main() {
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ivec5 coords = getOutputCoords();
int batch = coords.x;
int d2 = coords.u;
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ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xFCorner = xFRCCorner.x;
int xRCorner = xFRCCorner.y;
int xCCorner = xFRCCorner.z;
2020-11-16 21:51:46 +01:00
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// 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;
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for (int wF = 0; wF < ${u}; wF++) {
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int xF = xFCorner + wF * ${o};
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if (xF < 0 || xF >= ${e.inDepth}) {
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continue;
}
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for (int wR = 0; wR < ${h}; wR++) {
int xR = xRCorner + wR * ${l};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${p}; wC++) {
int xC = xCCorner + wC * ${c};
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2021-01-18 14:22:51 +01:00
if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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for (int d1 = 0; d1 < ${d}; d1 += 4) {
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vec4 xValues = vec4(
getX(batch, xF, xR, xC, d1),
getX(batch, xF, xR, xC, d1 + 1),
getX(batch, xF, xR, xC, d1 + 2),
getX(batch, xF, xR, xC, d1 + 3)
);
vec4 wValues = vec4(
getW(wF, wR, wC, d1, d2),
getW(wF, wR, wC, d1 + 1, d2),
getW(wF, wR, wC, d1 + 2, d2),
getW(wF, wR, wC, d1 + 3, d2)
);
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dotProd += dot(xValues, wValues);
}
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if (${f===1}) {
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dotProd +=
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getX(batch, xF, xR, xC, ${d}) *
getW(wF, wR, wC, ${d}, d2);
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} else if (${f===2}) {
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vec2 xValues = vec2(
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getX(batch, xF, xR, xC, ${d}),
getX(batch, xF, xR, xC, ${d} + 1)
2021-01-03 16:41:56 +01:00
);
vec2 wValues = vec2(
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getW(wF, wR, wC, ${d}, d2),
getW(wF, wR, wC, ${d} + 1, d2)
2021-01-03 16:41:56 +01:00
);
dotProd += dot(xValues, wValues);
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} else if (${f===3}) {
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vec3 xValues = vec3(
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getX(batch, xF, xR, xC, ${d}),
getX(batch, xF, xR, xC, ${d} + 1),
getX(batch, xF, xR, xC, ${d} + 2)
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);
vec3 wValues = vec3(
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getW(wF, wR, wC, ${d}, d2),
getW(wF, wR, wC, ${d} + 1, d2),
getW(wF, wR, wC, ${d} + 2, d2)
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);
dotProd += dot(xValues, wValues);
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}
}
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}
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}
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setOutput(dotProd);
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}
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`}},mW=class{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let{filterWidth:r,inChannels:a,strideWidth:s,strideHeight:i,padInfo:o,outWidth:l,dilationWidth:c,dilationHeight:u,dataFormat:h}=n,{left:p,top:d}=o,f=a*r,m=an(),A=h==="channelsLast",y=A?0:1,g=A?1:2,_="";for(let x=0;x<=1;x++)for(let w=0;w<=1;w++)_+=`
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blockIndex = rc.y + ${w};
pos = rc.x + ${x};
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if(blockIndex < ${e[1]} && pos < ${e[0]}) {
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offsetY = int(blockIndex / (${l})) * ${i} - ${d};
d0 = offsetY + ${u} * (pos / ${f});
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if(d0 < ${t[y]} && d0 >= 0) {
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offsetX = int(mod(float(blockIndex), ${l}.) * ${s}. - ${p}.);
d1 = offsetX + ${c} * (int(mod(float(pos), ${f}.) / ${a}.));
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if(d1 < ${t[g]} && d1 >= 0) {
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ch = int(mod(float(pos), ${a}.));
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if (${A}) {
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innerDims = vec2(d1, ch);
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result[${x*2+w}] = getChannel(
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getA(d0, int(innerDims.x),
int(innerDims.y)), innerDims);
} else {
innerDims = vec2(d0, d1);
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result[${x*2+w}] = getChannel(
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getA(ch, int(innerDims.x),
int(innerDims.y)), innerDims);
}
}
}
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}
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`;this.userCode=`
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void main() {
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ivec2 rc = getOutputCoords();
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vec4 result = vec4(0);
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int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
vec2 innerDims;
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${_}
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${m.output} = result;
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}
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`}};function b_({x:e,filter:t,convInfo:n,backend:r,bias:a=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,c=r.texData.get(e.dataId),u=n.inChannels,h=l[0]*l[1]*l[2],p=n.outChannels,d=n.dataFormat==="channelsLast",f=!1,m=!1,A,y=[],g=(h===1||p===1)&&u>c_,_=l[2]%2!=0&&!!c.isPacked;if(g||!Q().getBool("WEBGL_LAZILY_UNPACK")||!Q().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!_){let x=d?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],w=ye({inputs:{x:e},backend:r,attrs:{shape:[1,x,n.inChannels]}}),b=ye({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}}),N=tp({a:w,b,transposeA:f,transposeB:m,backend:r,bias:a,activation:o,preluActivationWeights:s,leakyreluAlpha:i});A=ye({inputs:{x:N},backend:r,attrs:{shape:n.outShape}}),y.push(w),y.push(b),y.push(N)}else{let x=d?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),w={dataId:e.dataId,shape:[1,x,n.inChannels],dtype:e.dtype},b=c.shape;c.shape=c.shape.slice(),c.shape[c.shape.length-2]++,k.assert(Qu(c.shape,w.shape),()=>`packed reshape ${c.shape} to ${w.shape} isn't free`);let N=ye({inputs:{x:t},backend:r,attrs:{shape:[1,n.inChannels,n.outChannels]}});y.push(N);let T=tp({a:w,b:N,backend:r,transposeA:f,transposeB:m,bias:a,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),E=r.texData.get(T.dataId);k.assert(E.isPacked,()=>"batchMatMul result is expected to be packed"),c.shape=b,E.shape=n.outShape,A=Tn({inputs:{x:T},backend:r}),A.shape=n.outShape,y.push(T)}for(let x of y)r.disposeIntermediateTensorInfo(x);return A}function v_({x:e,filter:t,convInfo:n,backend:r,bias:a=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:c,inChannels:u,outWidth:h,outHeight:p,dataFormat:d}=n,f=d==="channelsLast",m=l*c*u,A=p*h,y=[m,A],g=!0,_=!1,x=[],w=ye({inputs:{x:e},backend:r,attrs:{shape:e.shape.slice(1)}}),b=ye({inputs:{x:t},backend:r,attrs:{shape:[1,m,k.sizeFromShape(t.shape)/m]}});x.push(w),x.push(b);let N=new mW(y,w.shape,n),T=r.runWebGLProgram(N,[w],"float32"),E=ye({inputs:{x:T},backend:r,attrs:{shape:[1,y[0],y[1]]}});x.push(T),x.push(E);let M=a!=null,$=s!=null,P=o==="leakyrelu",V=o?Qd(o,!0):null,H=new a_(E.shape,b.shape,[1,A,n.outChannels],g,_,M,V,$,P),U=[E,b];if(a&&U.push(a),$&&U.push(s),P){let Z=r.makeTensorInfo([],"float32",k.createScalarValue(i,"float32"));U.push(Z),x.push(Z)}let K=r.runWebGLProgram(H,U,"float32"),X=f?[1,p,h,n.outChannels]:[1,n.outChannels,p,h],ee=ye({inputs:{x:K},backend:r,attrs:{shape:X}});x.push(K);for(let Z of x)r.disposeIntermediateTensorInfo(Z);return ee}function AW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:c,dimRoundingMode:u}=r,h=C.convertConv2DDataFormat(l),p=C.computeConv2DInfo(a.shape,s.shape,i,c,o,u,!1,h),d;if(p.filterHeight===1&&p.filterWidth===1&&p.dilationHeight===1&&p.dilationWidth===1&&p.strideHeight===1&&p.strideWidth===1&&(p.padInfo.type==="SAME"||p.padInfo.type==="VALID"))d=b_({x:a,filter:s,convInfo:p,backend:n});else if(Q().getBool("WEBGL_CONV_IM2COL")&&a.shape[0]===1)d=v_({x:a,filter:s,convInfo:p,backend:n});else{let m=new __(p);d=n.runWebGLProgram(m,[a,s],"float32")}let f=ye({inputs:{x:d},backend:n,attrs:{shape:p.outShape}});return n.disposeIntermediateTensorInfo(d),f}var yW={kernelName:Qa,backendName:"webgl",kernelFunc:AW},gW=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,s=e.dataFormat==="channelsLast";this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
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int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int d2 = coords.w;
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// 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;
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for (int b = 0; b < ${e.batchSize}; b++) {
for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${t} - ${r};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${a};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
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}
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if (${s}) {
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float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
} else {
float dyValue = getDy(b, d2, yR, yC);
float xValue = getX(b, d1, xR, xC);
dotProd += (xValue * dyValue);
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}
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}
}
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}
setOutput(dotProd);
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}
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`}},xW=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,c=s?2:3,u=s?3:1;this.userCode=`
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const ivec2 pads = ivec2(${i}, ${o});
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void main() {
ivec4 coords = getOutputCoords();
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int batch = coords[0];
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int d1 = coords[${u}];
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ivec2 dyCorner = ivec2(coords[${l}], coords[${c}]) - pads;
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int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
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// 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;
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for (int wR = 0; wR < ${t}; wR++) {
float dyR = float(dyRCorner + wR) / ${r}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
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continue;
}
int idyR = int(dyR);
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int wRPerm = ${t} - 1 - wR;
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for (int wC = 0; wC < ${n}; wC++) {
float dyC = float(dyCCorner + wC) / ${a}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
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}
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int idyC = int(dyC);
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int wCPerm = ${n} - 1 - wC;
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for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
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if (${s}) {
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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;
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}
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}
}
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}
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setOutput(dotProd);
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}
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`}},wW=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=`
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void main() {
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ivec5 coords = getOutputCoords();
int wF = coords.x;
int wR = coords.y;
int wC = coords.z;
int d1 = coords.w;
int d2 = coords.u;
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float dotProd = 0.0;
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for (int b = 0; b < ${e.batchSize}; b++) {
for (int yF = 0; yF < ${e.outDepth}; yF++) {
int xF = wF + yF * ${t} - ${a};
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if (xF < 0 || xF >= ${e.inDepth}) {
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continue;
}
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for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${n} - ${s};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${r} - ${i};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
float dyValue = getDy(b, yF, yR, yC, d2);
float xValue = getX(b, xF, xR, xC, d1);
dotProd += (xValue * dyValue);
}
}
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}
}
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setOutput(dotProd);
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}
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`}},_W=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,c=r-1-e.padInfo.left;this.userCode=`
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const ivec3 pads = ivec3(${o}, ${l}, ${c});
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void main() {
ivec5 coords = getOutputCoords();
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int batch = coords.x;
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int d1 = coords.u;
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ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
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int dyFCorner = dyCorner.x;
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int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
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float dotProd = 0.0;
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for (int wF = 0; wF < ${t}; wF++) {
float dyF = float(dyFCorner + wF) / ${a}.0;
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if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {
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continue;
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}
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int idyF = int(dyF);
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int wFPerm = ${t} - 1 - wF;
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for (int wR = 0; wR < ${n}; wR++) {
float dyR = float(dyRCorner + wR) / ${s}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
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fract(dyR) > 0.0) {
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continue;
}
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int idyR = int(dyR);
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int wRPerm = ${n} - 1 - wR;
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for (int wC = 0; wC < ${r}; wC++) {
float dyC = float(dyCCorner + wC) / ${i}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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int wCPerm = ${r} - 1 - wC;
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for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
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float xValue = getDy(batch, idyF, idyR, idyC, d2);
float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
}
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}
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}
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}
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setOutput(dotProd);
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}
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`}};function bW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:c,filterShape:u}=r,h=C.convertConv2DDataFormat(l),p=C.computeConv2DInfo(a.shape,u,i,1,o,c,!1,h),d=new gW(p);return n.runWebGLProgram(d,[a,s],"float32")}var vW={kernelName:mh,backendName:"webgl",kernelFunc:bW};function kW(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:c,dimRoundingMode:u}=r,h=C.convertConv2DDataFormat(c),p=C.computeConv2DInfo(i,s.shape,o,1,l,u,!1,h),d=new xW(p);return n.runWebGLProgram(d,[a,s],"float32")}var IW={kernelName:es,backendName:"webgl",kernelFunc:kW};function NW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l}=r,c=C.computeConv3DInfo(a.shape,s.shape,i,l,o),u=new fW(c);return n.runWebGLProgram(u,[a,s],"float32")}var SW={kernelName:uu,backendName:"webgl",kernelFunc:NW};function TW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,pad:o,filterShape:l}=r,c=C.computeConv3DInfo(a.shape,l,i,1,o),u=new wW(c);return n.runWebGLProgram(u,[a,s],"float32")}var EW={kernelName:Ah,backendName:"webgl",kernelFunc:TW};function CW(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{pad:i,strides:o,inputShape:l}=r,c=C.computeConv3DInfo(l,s.shape,o,1,i),u=new _W(c);return n.runWebGLProgram(u,[a,s],"float32")}var RW={kernelName:yh,backendName:"webgl",kernelFunc:CW},FW=r_+`
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return cos(x);
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`,MW=Ke({opSnippet:FW}),OW={kernelName:ts,backendName:"webgl",kernelFunc:MW},$W=`
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float e2x = exp(-x);
return (e2x + 1.0 / e2x) / 2.0;
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`,DW=Ke({opSnippet:$W}),zW={kernelName:Gi,backendName:"webgl",kernelFunc:DW},PW=class{constructor(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[c]=t,[u,h]=n;this.outputShape=[c,u,h,l];let p=r==="bilinear"?1:0,[d,f]=[`${i-1}.0`,`${o-1}.0`],[m,A,y]=u>1?[`${(i-1)/(u-1)}`,"(y2-y1) * height_ratio",`y1*${d} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${d}`],[g,_,x]=h>1?[`${(o-1)/(h-1)}`,"(x2-x1) * width_ratio",`x1*${f} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${f}`];this.userCode=`
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const float height_ratio = float(${m});
const float width_ratio = float(${g});
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int y = coords[1];
int x = coords[2];
int d = coords[3];
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// get box vals
float y1 = getBoxes(b,0);
float x1 = getBoxes(b,1);
float y2 = getBoxes(b,2);
float x2 = getBoxes(b,3);
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// get image in batch index
int bInd = round(getBoxInd(b));
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if(bInd < 0 || bInd >= ${s}) {
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return;
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}
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float height_scale = ${A};
float width_scale = ${_};
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float in_y = ${y};
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if( in_y < 0.0 || in_y > ${d} ) {
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setOutput(float(${a}));
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return;
}
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float in_x = ${x};
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if( in_x < 0.0 || in_x > ${f} ) {
setOutput(float(${a}));
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return;
}
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vec2 sourceFracIndexCR = vec2(in_x,in_y);
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if(${p} == 1) {
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// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);
ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));
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float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);
float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);
float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);
float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);
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vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);
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float top = topLeft + (topRight - topLeft) * fracCR.x;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;
float newValue = top + (bottom - top) * fracCR.y;
setOutput(newValue);
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} else {
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// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2(floor(
sourceFracIndexCR + vec2(0.5,0.5)));
float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);
setOutput(newValue);
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}
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}
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`}},LW=e=>{let{inputs:t,backend:n,attrs:r}=e,{image:a,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:c}=r,u=new PW(a.shape,s.shape,o,l,c);return n.runWebGLProgram(u,[a,s,i],"float32")},WW={kernelName:Hi,backendName:"webgl",kernelFunc:LW},N_=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;let r=e.length,a=t?"0.0":`getX(${k_(r,"coords")})`,s=e[e.length-1],i="",o="";t?(i=n?`end != ${s-1}`:"end != 0",o=n?"end + 1":"end - 1"):(i=n?`end + pow2 < ${s}`:"end >= pow2",o=n?"end + pow2":"end - pow2"),this.userCode=`
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uniform float index;
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void main() {
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${ut(r)} coords = getOutputCoords();
int end = ${I_(r,"coords")};
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float val = ${a};
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int pow2 = int(pow(2.0, index));
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if (${i}) {
int idx = ${o};
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${I_(r,"coords")} = idx;
val += getX(${k_(r,"coords")});
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}
setOutput(val);
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}
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`}getCustomSetupFunc(e){return(t,n)=>{this.index==null&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}};function k_(e,t){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw Error(`Cumulative sum for rank ${e} is not yet supported`)}function I_(e,t){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw Error(`Cumulative sum for rank ${e} is not yet supported`)}function BW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,exclusive:i,reverse:o}=r,l=a.shape.length,c=C.getAxesPermutation([s],l),u=a;c!=null&&(u=fn({inputs:{x:a},backend:n,attrs:{perm:c}}));let h=C.getInnerMostAxes(1,l)[0];if(h!==l-1)throw new Error(`WebGL cumsum shader expects an inner-most axis=${a.shape.length-1} but got axis=${s}`);let p=a.shape[h],d=Tn({inputs:{x:u},backend:n});for(let f=0;f<=Math.ceil(Math.log2(p))-1;f++){let m=new N_(u.shape,!1,o),A=m.getCustomSetupFunc(f),y=d;d=n.runWebGLProgram(m,[d],d.dtype,A),n.disposeIntermediateTensorInfo(y)}if(i){let f=new N_(u.shape,i,o),m=d;d=n.runWebGLProgram(f,[d],d.dtype),n.disposeIntermediateTensorInfo(m)}if(c!=null){let f=C.getUndoAxesPermutation(c),m=fn({inputs:{x:d},backend:n,attrs:{perm:f}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(u),m}return d}var VW={kernelName:ns,backendName:"webgl",kernelFunc:BW};function UW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,weights:s}=t,{size:i,binaryOutput:o}=r;if(a.shape.length===1){let l=n.readSync(a.dataId),c=n.readSync(s.dataId),u=Vw(l,c,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}else if(a.shape.length===2){let l=n.bufferSync(a),c=n.bufferSync(s),u=gz(l,c,i,o);return n.makeTensorInfo(u.shape,s.dtype,u.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${a.shape.length}.`)}var jW={kernelName:gh,backendName:"webgl",kernelFunc:UW},GW=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int h = ${this.getHeightCoordString()};
int w = ${this.getWidthCoordString()};
int d = ${this.getDepthCoordString()};
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int in_h = h / ${t};
int offset_h = imod(h, ${t});
int in_w = w / ${t};
int offset_w = imod(w, ${t});
int offset_d = (offset_h * ${t} + offset_w) *
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${this.getOutputDepthSize()};
int in_d = d + offset_d;
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float result = ${this.getInputSamplingString()};
setOutput(result);
}
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`}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)"}};function HW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockSize:s,dataFormat:i}=r;k.assert(s>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${s}`);let o=a.shape[0],l=i==="NHWC"?a.shape[1]:a.shape[2],c=i==="NHWC"?a.shape[2]:a.shape[3],u=i==="NHWC"?a.shape[3]:a.shape[1],h=l*s,p=c*s,d=u/(s*s),f=i==="NHWC"?[o,h,p,d]:[o,d,h,p],m=new GW(f,s,i);return n.runWebGLProgram(m,[a],a.dtype)}var qW={kernelName:qi,backendName:"webgl",kernelFunc:HW},S_=class{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.inHeight,i=e.inWidth,o=e.padInfo.top,l=e.padInfo.left,c=e.strideHeight,u=e.strideWidth,h=e.dilationHeight,p=e.dilationWidth,d=e.filterHeight,f=e.filterWidth,m=e.outChannels/e.inChannels,A="",y="";n&&(r?A=`float activation(float a) {
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float b = getPreluActivationWeightsAtOutCoords();
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${n}
}`:a?A=`float activation(float a) {
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float b = getLeakyreluAlphaAtOutCoords();
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${n}
}`:A=`
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float activation(float x) {
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${n}
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}
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`,y="result = activation(result);");let g=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${A}
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const ivec2 strides = ivec2(${c}, ${u});
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const ivec2 pads = ivec2(${o}, ${l});
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void main() {
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ivec4 coords = getOutputCoords();
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int batch = coords.x;
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ivec2 xRCCorner = coords.yz * strides - pads;
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int d2 = coords.w;
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int d1 = d2 / ${m};
int q = d2 - d1 * ${m};
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int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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// 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.
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for (int wR = 0; wR < ${d}; wR++) {
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int xR = xRCorner + wR * ${h};
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if (xR < 0 || xR >= ${s}) {
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continue;
}
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for (int wC = 0; wC < ${f}; wC++) {
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int xC = xCCorner + wC * ${p};
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if (xC < 0 || xC >= ${i}) {
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continue;
}
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float xVal = getX(batch, xR, xC, d1);
float wVal = getW(wR, wC, d1, q);
dotProd += xVal * wVal;
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}
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}
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float result = dotProd;
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${g}
${y}
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setOutput(result);
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}
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`}},T_=class{constructor(e,t=!1,n=null,r=!1,a=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;let s=e.inHeight,i=e.inWidth,o=e.padInfo.top,l=e.padInfo.left,c=e.strideHeight,u=e.strideWidth,h=e.dilationHeight,p=e.dilationWidth,d=e.filterHeight,f=e.filterWidth,m=f,A="int xR; int xC; int xCOffset;";for(let x=0;x<d;x++)for(let w=0;w<f;w++)A+=`
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vec4 xTexelR${x}C${w*2} = vec4(0.);
vec4 wR${x}C${w} = vec4(0.);
vec4 xR${x}C${w} = vec4(0.);`;for(let x=0;x<d;x++)for(let w=0;w<m;w++){let b=w*2;if(A+=`
xR = xRCorner + ${x*h};
xC = xCCorner + ${b*p};
`,u===1){if(b<f&&(l%2==1?A+=`
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xCOffset = xC + 1;
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if(xR >= 0 && xR < ${s} && xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${b} = getX(batch, xR, xCOffset, d1);
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
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if(xCOffset + 1 >= ${i}) {
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xTexelR${x}C${b}.zw = vec2(0.);
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}
} else {
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xTexelR${x}C${b} = vec4(0.);
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}
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xCOffset = xC + 1 - 2;
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if(xR >= 0 && xR < ${s} && xCOffset >= 0 && xCOffset < ${i}) {
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vec4 previous = getX(batch, xR, xCOffset, d1);
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
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if(xCOffset + 1 >= ${i}) {
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previous.zw = vec2(0.);
}
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xR${x}C${b} = vec4(previous.zw, xTexelR${x}C${b}.xy);
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} else {
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xR${x}C${b} = vec4(0, 0, xTexelR${x}C${b}.xy);
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}
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`:A+=`
if(xR >= 0 && xR < ${s} && xC >= 0 && xC < ${i}) {
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xTexelR${x}C${b} = getX(batch, xR, xC, d1);
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} else {
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xTexelR${x}C${b} = vec4(0.);
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}
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xR${x}C${b} = xTexelR${x}C${b};
`,b+1<f)){let N=l%2==0?k.nearestLargerEven(p):p;p%2==0&&l%2==1||p%2!=0&&l%2!=1?(A+=`
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xCOffset = xC + ${l%2} + ${N};
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if(xR >= 0 && xR < ${s} &&
xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${b+2} = getX(batch, xR, xCOffset, d1);
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}
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`,p>1&&(A+=`
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xCOffset -= 2;
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if(xR >= 0 && xR < ${s} &&
xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${b} = getX(batch, xR, xCOffset, d1);
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} else {
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xTexelR${x}C${b} = vec4(0.);
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}
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`),A+=`
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xR${x}C${b+1} = vec4(
xTexelR${x}C${b}.zw, xTexelR${x}C${b+2}.xy);
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`):A+=`
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xCOffset = xC + ${N};
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if(xR >= 0 && xR < ${s} &&
xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${b+2} = getX(batch, xR, xCOffset, d1);
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}
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xR${x}C${b+1} = xTexelR${x}C${b+2};
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`}}else b<f&&(A+=`
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if(xR >= 0 && xR < ${s}) {
`,l%2==1?(A+=`
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xCOffset = xC + 1 - ${u};
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if(xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${b} = getX(batch, xR, xCOffset, d1);
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} else {
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xTexelR${x}C${b} = vec4(0.);
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}
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if(xC + 1 >= 0 && xC + 1 < ${i}) {
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xTexelR${x}C${b+2} = getX(batch, xR, xC + 1, d1);
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} else {
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xTexelR${x}C${b+2} = vec4(0.);
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}
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xR${x}C${b} = vec4(
xTexelR${x}C${b}.zw, xTexelR${x}C${b+2}.zw);
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`,b+1<f&&(A+=`
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vec4 final = vec4(0.);
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xCOffset = xC + 1 + ${u};
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if(xCOffset >= 0 && xCOffset < ${i}) {
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final = getX(batch, xR, xCOffset, d1);
}
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xR${x}C${b+1} = vec4(xTexelR${x}C${b+2}.xy, final.xy);
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`)):(A+=`
if(xC >= 0 && xC < ${i}) {
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xTexelR${x}C${b} = getX(batch, xR, xC, d1);
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} else {
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xTexelR${x}C${b} = vec4(0.);
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}
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xCOffset = xC + ${u};
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if(xCOffset >= 0 && xCOffset < ${i}) {
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xTexelR${x}C${b+2} = getX(batch, xR, xCOffset, d1);
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} else {
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xTexelR${x}C${b+2} = vec4(0.);
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}
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xR${x}C${b} = vec4(
xTexelR${x}C${b}.xy, xTexelR${x}C${b+2}.xy);
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`,b+1<f&&(A+=`
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xR${x}C${b+1} = vec4(
xTexelR${x}C${b}.zw, xTexelR${x}C${b+2}.zw);
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`)),A+="}");b<f&&(A+=`
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vec4 wTexelR${x}C${b} = getW(${x}, ${b}, d1, q);
wR${x}C${b} = vec4(wTexelR${x}C${b}.xz, wTexelR${x}C${b}.xz);
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`,b+1<f&&(A+=`
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vec4 wTexelR${x}C${b+1} = getW(${x}, ${b+1}, d1, q);
wR${x}C${b+1} =
vec4(wTexelR${x}C${b+1}.xz, wTexelR${x}C${b+1}.xz);`))}for(let x=0;x<d;x++)for(let w=0;w<f;w++)A+=`dotProd += xR${x}C${w} * wR${x}C${w};`;let y="",g="";n&&(r?y=`vec4 activation(vec4 a) {
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vec4 b = getPreluActivationWeightsAtOutCoords();
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${n}
}`:a?y=`vec4 activation(vec4 a) {
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vec4 b = getLeakyreluAlphaAtOutCoords();
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${n}
}`:y=`vec4 activation(vec4 x) {
${n}
}`,g="result = activation(result);");let _=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),a&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${y}
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const ivec2 strides = ivec2(${c}, ${u});
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const ivec2 pads = ivec2(${o}, ${l});
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void main() {
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ivec4 coords = getOutputCoords();
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int batch = coords.x;
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ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
int d1 = d2;
int q = 0;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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vec4 dotProd = vec4(0.);
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${A}
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vec4 result = dotProd;
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${_}
${g}
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setOutput(result);
}
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`}};function XW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l,dimRoundingMode:c}=r,u=l;u==null&&(u=[1,1]),k.assert(C.eitherStridesOrDilationsAreOne(i,u),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let h=C.computeConv2DInfo(a.shape,s.shape,i,u,o,c,!0),p;return Q().getBool("WEBGL_PACK_DEPTHWISECONV")&&h.strideWidth<=2&&h.outChannels/h.inChannels==1?p=new T_(h):p=new S_(h),n.runWebGLProgram(p,[a,s],"float32")}var KW={kernelName:rs,backendName:"webgl",kernelFunc:XW},ZW=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int dm = coords.w;
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int d2 = d1 * ${s} + dm;
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float dotProd = 0.0;
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// TO DO: Vec4 over the batch size
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for (int b = 0; b < ${e.batchSize}; b++) {
for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${t} - ${r};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${a};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
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}
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}
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}
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setOutput(dotProd);
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}
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`}},YW=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=`
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const ivec2 pads = ivec2(${s}, ${i});
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void main() {
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ivec4 coords = getOutputCoords();
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int batch = coords[0];
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int d1 = coords[3];
ivec2 dyCorner = coords.yz - pads;
int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
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float dotProd = 0.0;
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for (int wR = 0; wR < ${t}; wR++) {
float dyR = float(dyRCorner + wR) / ${r}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
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continue;
}
int idyR = int(dyR);
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int wRPerm = ${t} - 1 - wR;
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for (int wC = 0; wC < ${n}; wC++) {
float dyC = float(dyCCorner + wC) / ${a}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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int wCPerm = ${n} - 1 - wC;
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// TO DO: Vec4 over the channelMul
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for (int dm = 0; dm < ${o}; dm++) {
int d2 = d1 * ${o} + dm;
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float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, dm);
dotProd += xValue * wValue;
}
}
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}
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setOutput(dotProd);
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}
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`}};function JW(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:c,filterShape:u}=r,h=C.computeConv2DInfo(a.shape,u,i,o,l,c,!0),p=new ZW(h);return n.runWebGLProgram(p,[a,s],"float32")}var QW={kernelName:xh,backendName:"webgl",kernelFunc:JW};function eB(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:c,inputShape:u}=r,h=C.computeConv2DInfo(u,s.shape,i,o,l,c,!0),p=new YW(h);return n.runWebGLProgram(p,[a,s],"float32")}var tB={kernelName:wh,backendName:"webgl",kernelFunc:eB},nB=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=`
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void main() {
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ivec2 coords = getOutputCoords();
float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
setOutput(val);
}
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`}};function rB(e){let{inputs:t,backend:n}=e,{x:r}=t,a=[...r.shape,...r.shape],s=k.sizeFromShape(r.shape),i=ye({inputs:{x:r},backend:n,attrs:{shape:[s]}}),o=new nB(s),l=n.runWebGLProgram(o,[i],i.dtype),c=ye({inputs:{x:l},backend:n,attrs:{shape:a}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),c}var aB={kernelName:_h,backendName:"webgl",kernelFunc:rB},sB=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:r,strideHeight:a,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:c}=e,{top:u,left:h}=r;this.userCode=`
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const ivec2 strides = ivec2(${a}, ${s});
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const ivec2 pads = ivec2(${u}, ${h});
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const float neg_infinity = -3.4e38;
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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;
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for (int h = 0; h < ${i}; h++) {
int hIn = hBeg + h * ${l};
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if (hIn >= 0 && hIn < ${t}) {
for (int w = 0; w < ${o}; w++) {
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int wIn = wBeg + w * ${c};
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if (wIn >= 0 && wIn < ${n}) {
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float xVal = getX(batch, hIn, wIn, d1);
float wVal = getW(h, w, d1);
float val = xVal + wVal;
if (val > curVal) {
curVal = val;
}
}
}
}
}
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float result = curVal;
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setOutput(result);
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}
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`}};function iB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s}=t,{strides:i,pad:o,dilations:l}=r,c=C.computeDilation2DInfo(a.shape,s.shape,i,o,"NHWC",l),u,h=new sB(c);u=n.runWebGLProgram(h,[a,s],"float32");let p=ye({inputs:{x:u},backend:n,attrs:{shape:c.outShape}});return n.disposeIntermediateTensorInfo(u),p}var oB={kernelName:cu,backendName:"webgl",kernelFunc:iB},lB="return (x >= 0.0) ? x : (exp(x) - 1.0);",uB=`
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vec4 result;
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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);
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return result;
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`,cB=Ke({opSnippet:lB,packedOpSnippet:uB}),hB={kernelName:Xi,backendName:"webgl",kernelFunc:cB},dB="return (b >= 1.0) ? a : a * (b + 1.0);",pB=`
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vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
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`,fB=e=>{let{inputs:t,backend:n}=e,{dy:r,y:a}=t,s=Q().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ac(pB,r.shape,a.shape):new gl(dB,r.shape,a.shape);return n.runWebGLProgram(s,[r,a],r.dtype)},mB={kernelName:kh,backendName:"webgl",kernelFunc:fB},AB=`
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return vec4(equal(a, b));
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`,yB="return float(a == b);",gB=Kt({opSnippet:yB,packedOpSnippet:AB,dtype:"bool"}),xB={kernelName:Zi,backendName:"webgl",kernelFunc:gB},wB=`
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// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
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float p = ${C.ERF_P};
float a1 = ${C.ERF_A1};
float a2 = ${C.ERF_A2};
float a3 = ${C.ERF_A3};
float a4 = ${C.ERF_A4};
float a5 = ${C.ERF_A5};
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float sign = sign(x);
x = abs(x);
float t = 1.0 / (1.0 + p * x);
return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));
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`,_B=Ke({opSnippet:wB}),bB={kernelName:Ki,backendName:"webgl",kernelFunc:_B},E_="return exp(x);",C_=Ke({opSnippet:E_,packedOpSnippet:E_,cpuKernelImpl:_z}),vB={kernelName:ss,backendName:"webgl",kernelFunc:C_};function Cm(e){let{inputs:t,attrs:n,backend:r}=e,{dim:a}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=a;return a<0&&(k.assert(-(i+1)<=a,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+a+1),o.splice(l,0,1),ye({inputs:{x:s},backend:r,attrs:{shape:o}})}var kB={kernelName:Yi,backendName:"webgl",kernelFunc:Cm},R_="return exp(x) - 1.0;",IB=Ke({opSnippet:R_,packedOpSnippet:R_,cpuKernelImpl:bz}),NB={kernelName:Ji,backendName:"webgl",kernelFunc:IB},F_=class{constructor(e,t,n){this.variableNames=["real","imag"];let r=t[1];this.outputShape=t;let a=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=n?`${r}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=`
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const float exponentMultiplier = ${a};
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float unaryOpComplex(float real, float expR, float imag, float expI) {
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${i}
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}
2020-12-16 20:49:14 +01:00
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float mulMatDFT(int batch, int index) {
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float indexRatio = float(index) / float(${r});
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float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio;
2020-12-16 20:49:14 +01:00
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float result = 0.0;
2020-12-16 20:49:14 +01:00
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for (int i = 0; i < ${r}; i++) {
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// 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);
2020-12-16 20:49:14 +01:00
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result +=
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unaryOpComplex(real, expR, imag, expI) / ${s};
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}
2020-12-15 14:44:42 +01:00
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return result;
}
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void main() {
ivec2 coords = getOutputCoords();
setOutput(mulMatDFT(coords[0], coords[1]));
}
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`}};function M_(e,t,n){let r=n.texData.get(e.dataId),a=k.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=a/s,o=ye({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,c=new F_("real",l,t),u=new F_("imag",l,t),h=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:l},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:l}],p=n.runWebGLProgram(c,h,"float32"),d=n.runWebGLProgram(u,h,"float32"),f=Ta({inputs:{real:p,imag:d},backend:n});n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d);let m=ye({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(f),m}function SB(e){let{inputs:t,backend:n}=e,{input:r}=t;return M_(r,!1,n)}var TB={kernelName:Ih,backendName:"webgl",kernelFunc:SB},EB=class{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode=`
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uniform float value;
void main() {
// Input can be obtained from uniform value.
setOutput(value);
}
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`}getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}};function Rm(e){let{backend:t,attrs:n}=e,{shape:r,value:a}=n,{dtype:s}=n;if(s=s||k.inferDtype(a),s==="string"){let i=k.getArrayFromDType(s,k.sizeFromShape(r));return i.fill(a),t.makeTensorInfo(r,s,i)}else{let i=new EB(r,a),o=i.getCustomSetupFunc(a);return t.runWebGLProgram(i,[],s,o)}}var CB={kernelName:hu,backendName:"webgl",kernelFunc:Rm},RB=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
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int coordX = ${t} - x;
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float outputValue;
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if(coordX >= 0 && coordX < ${t}) {
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outputValue = getImage(coords[0], coords[1], coordX, coords[3]);
} else {
outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);
}
setOutput(outputValue);
}
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`}},FB={kernelName:Qi,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,r=t,a=new RB(n.shape);return r.runWebGLProgram(a,[n],n.dtype)}},O_="return floor(x);",MB=Ke({opSnippet:O_,packedOpSnippet:O_,cpuKernelImpl:vz}),OB={kernelName:is,backendName:"webgl",kernelFunc:MB},$B=`
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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;
}
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`,DB=`
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ivec4 ia = round(a);
ivec4 ib = round(b);
bvec4 cond = notEqual(ib, ivec4(0));
ivec4 result = ivec4(0);
vec4 s = sign(a) * sign(b);
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// 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);
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`,zB=Kt({opSnippet:$B,packedOpSnippet:DB,dtype:"int32"}),PB={kernelName:os,backendName:"webgl",kernelFunc:zB},LB=class{constructor(e){this.variableNames=["A"];let t=an(),[n,r]=e;this.outputShape=e,this.userCode=`
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void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
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vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${r}.0, ${n}.0);
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vec4 values = ${t.texture2D}(A, uv);
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float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
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setOutput(floor(value * 255.0 + 0.5));
}
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`}},WB=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=an(),[n,r]=e;this.outputShape=e,this.userCode=`
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void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
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vec4 result = vec4(0.);
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for(int row=0; row<=1; row++) {
for(int col=0; col<=1; col++) {
texC = coords[1] + row;
depth = coords[2] + col;
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${r}.0, ${n}.0);
vec4 values = ${t.texture2D}(A, uv);
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float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
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}
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result[row * 2 + col] = floor(value * 255.0 + 0.5);
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}
}
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${t.output} = result;
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}
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`}},VB={kernelName:Lh,backendName:"webgl",kernelFunc:BB},wl;function BB(e){let{inputs:t,backend:n,attrs:r}=e,{pixels:a}=t,{numChannels:s}=r,i=typeof HTMLVideoElement!="undefined"&&a instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&a instanceof HTMLImageElement,l=typeof ImageBitmap!="undefined"&&a instanceof ImageBitmap,[c,u]=i?[a.videoWidth,a.videoHeight]:[a.width,a.height],h=[u,c],p=[u,c,s];(o||i||l)&&(wl==null&&(wl=document.createElement("canvas").getContext("2d")),wl.canvas.width=c,wl.canvas.height=u,wl.drawImage(a,0,0,c,u),a=wl.canvas);let d=n.makeTensorInfo(h,"int32");n.texData.get(d.dataId).usage=Vn.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(d.dataId),a);let f=Q().getBool("WEBGL_PACK")?new WB(p):new LB(p),m=n.runWebGLProgram(f,[d],"int32");return n.disposeData(d.dataId),m}function UB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:c,dataFormat:u,dilations:h,dimRoundingMode:p,activation:d,leakyreluAlpha:f}=r,m=C.convertConv2DDataFormat(u),A=C.computeConv2DInfo(a.shape,s.shape,l,h,c,p,!1,m),y,g=[];if(A.filterHeight===1&&A.filterWidth===1&&A.dilationHeight===1&&A.dilationWidth===1&&A.strideHeight===1&&A.strideWidth===1&&(A.padInfo.type==="SAME"||A.padInfo.type==="VALID"))y=b_({x:a,filter:s,convInfo:A,backend:n,bias:i,activation:d,preluActivationWeights:o,leakyreluAlpha:f});else if(Q().getBool("WEBGL_CONV_IM2COL")&&a.shape[0]===1)y=v_({x:a,filter:s,convInfo:A,backend:n,bias:i,activation:d,preluActivationWeights:o,leakyreluAlpha:f});else{let x=i!=null,w=o!=null,b=d==="leakyrelu",N=d?Qd(d,!1):null,T=new __(A,x,N,w,b),E=[a,s];if(i&&E.push(i),o&&E.push(o),b){let M=n.makeTensorInfo([],"float32",k.createScalarValue(f,"float32"));E.push(M),g.push(M)}y=n.runWebGLProgram(T,E,"float32")}let _=ye({inputs:{x:y},backend:n,attrs:{shape:A.outShape}});return g.push(y),g.forEach(x=>n.disposeIntermediateTensorInfo(x)),_}var jB={kernelName:Ls,backendName:"webgl",kernelFunc:UB};function GB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:c,dilations:u,dimRoundingMode:h,activation:p,leakyreluAlpha:d}=r,f=[],m=u;m==null&&(m=[1,1]),k.assert(C.eitherStridesOrDilationsAreOne(l,m),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${m}'`);let A=C.computeConv2DInfo(a.shape,s.shape,l,m,c,h,!0),y=Q().getBool("WEBGL_PACK_DEPTHWISECONV")&&A.strideWidth<=2&&A.outChannels/A.inChannels==1,g=p?Qd(p,y):null,_=[a,s],x=i!=null,w=o!=null,b=p==="leakyrelu";if(x&&_.push(i),w&&_.push(o),b){let E=n.makeTensorInfo([],"float32",k.createScalarValue(d,"float32"));_.push(E),f.push(E)}let N;y?N=new T_(A,x,g,w,b):N=new S_(A,x,g,w,b);let T=n.runWebGLProgram(N,_,"float32");return f.forEach(E=>n.disposeIntermediateTensorInfo(E)),T}var HB={kernelName:Ws,backendName:"webgl",kernelFunc:GB},qB=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let r=ut(t.length),a=ut(n.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
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${r} strides = ${r}(${this.strides});
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void main() {
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${a} coords = getOutputCoords();
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int flattenIndex = 0;
for (int j = 0; j < ${this.sliceDim}; j++) {
int index = round(getIndices(coords[0], j));
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flattenIndex += index * ${s};
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}
setOutput(getX(flattenIndex, coords[1]));
}
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`}};function XB(e){let{inputs:t,backend:n}=e,{params:r,indices:a}=t,s=a.shape,i=s[s.length-1],[o,l,c,u]=C.prepareAndValidate(r,a),h=ye({inputs:{x:a},backend:n,attrs:{shape:[l,i]}}),p=ye({inputs:{x:r},backend:n,attrs:{shape:[k.sizeFromShape(r.shape)/c,c]}}),d=new qB(i,u,[l,c]),f=n.runWebGLProgram(d,[p,h],p.dtype),m=ye({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(f),m}var KB={kernelName:to,backendName:"webgl",kernelFunc:XB},YB=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=ut(this.rank),r=ZB(e,2);this.userCode=`
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void main() {
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${n} resRC = getOutputCoords();
setOutput(getA(${r}));
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}
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`}};function ZB(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[];for(let a=0;a<e.length;a++)a===2?r.push("int(getIndices(resRC.x, resRC.z))"):r.push(`${n[a]}`);return r.join()}function JB(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,indices:s}=t,{axis:i,batchDims:o}=r,l=k.parseAxisParam(i,a.shape)[0],c=C.segment_util.collectGatherOpShapeInfo(a,s,l,o),u=k.sizeFromShape(s.shape),h=[],p=ye({inputs:{x:a},backend:n,attrs:{shape:[c.batchSize,c.outerSize,c.dimSize,c.sliceSize]}}),d=ye({inputs:{x:s},backend:n,attrs:{shape:[c.batchSize,u/c.batchSize]}});h.push(p),h.push(d);let f=[c.batchSize,c.outerSize,u/c.batchSize,c.sliceSize];if(n.shouldExecuteOnCPU([a,s])||a.dtype==="string"){let g=n.bufferSync(d),_=n.bufferSync(p),x=kz(_,g,f);return h.forEach(w=>n.disposeIntermediateTensorInfo(w)),n.makeTensorInfo(c.outputShape,x.dtype,x.values)}let m=new YB(p.shape,f),A=n.runWebGLProgram(m,[p,d],p.dtype);h.push(A);let y=ye({inputs:{x:A},backend:n,attrs:{shape:c.outputShape}});return h.forEach(g=>n.disposeIntermediateTensorInfo(g)),y}var QB={kernelName:eo,backendName:"webgl",kernelFunc:JB},eV="return float(a > b);",tV=`
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return vec4(greaterThan(a, b));
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`,nV=Kt({opSnippet:eV,packedOpSnippet:tV,cpuKernelImpl:Iz,dtype:"bool"}),rV={kernelName:no,backendName:"webgl",kernelFunc:nV},aV="return float(a >= b);",sV=`
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return vec4(greaterThanEqual(a, b));
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`,iV=Kt({opSnippet:aV,packedOpSnippet:sV,dtype:"bool"}),oV={kernelName:us,backendName:"webgl",kernelFunc:iV};function lV(e){let{inputs:t,backend:n}=e,{input:r}=t;return M_(r,!0,n)}var uV={kernelName:Nh,backendName:"webgl",kernelFunc:lV},cV="return float(!isnan(x) && !isinf(x));",hV=Ke({opSnippet:cV,dtype:"bool"}),dV={kernelName:ao,backendName:"webgl",kernelFunc:hV},pV="return float(isinf(x));",fV=Ke({opSnippet:pV,dtype:"bool"}),mV={kernelName:so,backendName:"webgl",kernelFunc:fV},AV="return float(isnan(x));",yV=Ke({opSnippet:AV,dtype:"bool"}),gV={kernelName:io,backendName:"webgl",kernelFunc:yV},xV="return float(a < b);",wV=`
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return vec4(lessThan(a, b));
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`,_V=Kt({opSnippet:xV,packedOpSnippet:wV,cpuKernelImpl:Nz,dtype:"bool"}),bV={kernelName:oo,backendName:"webgl",kernelFunc:_V},vV="return float(a <= b);",kV=`
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return vec4(lessThanEqual(a, b));
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`,IV=Kt({opSnippet:vV,packedOpSnippet:kV,dtype:"bool"}),NV={kernelName:lo,backendName:"webgl",kernelFunc:IV};function SV(e){let{backend:t,attrs:n}=e,{start:r,stop:a,num:s}=n,i=Sz(r,a,s);return t.makeTensorInfo([i.length],"float32",i)}var TV={kernelName:Th,backendName:"webgl",kernelFunc:SV},EV=`if (x < 0.0) return NAN;
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return log(x);`,CV=`
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vec4 result = log(x);
vec4 isNaN = vec4(lessThan(x, vec4(0.0)));
result.r = isNaN.r == 1.0 ? NAN : result.r;
result.g = isNaN.g == 1.0 ? NAN : result.g;
result.b = isNaN.b == 1.0 ? NAN : result.b;
result.a = isNaN.a == 1.0 ? NAN : result.a;
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return result;
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`,RV=Ke({opSnippet:EV,packedOpSnippet:CV,cpuKernelImpl:Tz}),FV={kernelName:hs,backendName:"webgl",kernelFunc:RV},MV="return log(1.0 + x);",OV=Ke({opSnippet:MV}),$V={kernelName:uo,backendName:"webgl",kernelFunc:OV},DV="return float(a >= 1.0 && b >= 1.0);",zV=`
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return vec4(
vec4(greaterThanEqual(a, vec4(1.0))) *
vec4(greaterThanEqual(b, vec4(1.0))));
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`,PV=Kt({opSnippet:DV,packedOpSnippet:zV,dtype:"bool"}),LV={kernelName:co,backendName:"webgl",kernelFunc:PV},WV="return float(!(x >= 1.0));",BV=Ke({opSnippet:WV}),VV={kernelName:du,backendName:"webgl",kernelFunc:BV},UV="return float(a >= 1.0 || b >= 1.0);",jV=`
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return min(
vec4(greaterThanEqual(a, vec4(1.0))) +
vec4(greaterThanEqual(b, vec4(1.0))),
vec4(1.0));
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`,GV=Kt({opSnippet:UV,packedOpSnippet:jV,dtype:"bool"}),HV={kernelName:pu,backendName:"webgl",kernelFunc:GV},qV=class{constructor(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${r}) * sum`;a===.5?o=`inversesqrt(${l})`:a===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${a}));`,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
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int r = coords[1];
int c = coords[2];
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int d = coords[3];
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float x = getX(b, r, c, d);
float sum = 0.0;
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for (int j = -${s}; j <= ${s}; j++) {
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int idx = d + j;
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if (idx >= 0 && idx <= ${i}) {
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float z = getX(b, r, c, idx);
sum += z * z;
}
}
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float val = x * ${o};
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setOutput(val);
}
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`}},XV=class{constructor(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${r}) * sum`;a===.5?o=`inversesqrt(${l})`:a===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${a}));`,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords.x;
int r = coords.y;
int c = coords.z;
int d = coords.w;
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bool hasNextCol = d < ${this.outputShape[3]};
bool hasNextRow = c < ${this.outputShape[2]};
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vec4 sum = vec4(0.);
vec4 xFragAtOutputCoords = getX(b, r, c, d);
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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
);
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int firstChannel = d - ${s};
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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));
}
}
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ivec2 depth = ivec2(d, d + 1);
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for (int j = - ${s}; j <= ${s}; j++) {
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ivec2 idx = depth + j;
bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));
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bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${i}));
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bool depthInRange = aboveLowerBound.x && belowUpperBound.x;
bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;
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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;
}
}
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vec4 result = xAtOutputCoords * ${o};
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setOutput(result);
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}
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`}},KV=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=r,c=Q().getBool("WEBGL_PACK_NORMALIZATION")?new XV(a.shape,s,i,o,l):new qV(a.shape,s,i,o,l);return n.runWebGLProgram(c,[a],a.dtype)},ZV={kernelName:fu,backendName:"webgl",kernelFunc:KV},YV=class{constructor(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
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int r = coords[1];
int c = coords[2];
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float result = 0.0;
for (int d = 0; d < ${this.depth}; ++d) {
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int depthBegin = int(max(0.0, float(d - ${t})));
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int depthEnd = int(min(float(${this.depth}),
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float(d + ${t} + 1)));
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const int MIN_DEPTH_BEGIN = 0;
const int MAX_DEPTH_END = ${this.depth};
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float norm = 0.0;
for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd) {
norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);
}
else {
break;
}
}
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norm = float(${r}) * norm + float(${n});
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for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd){
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float dyi = -2.0 * float(${r})
* float(${a})
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* getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
/ norm;
if (k == d) {
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dyi += pow(norm, -1.0 * ${a});
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}
if (k == coords[3]) {
dyi *= getDy(b, r, c, d);
result += dyi;
}
}
else {
break;
}
}
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}
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setOutput(result);
}
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`}},JV=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:c,beta:u}=r,h=new YV(a.shape,o,l,c,u);return n.runWebGLProgram(h,[a,s,i],a.dtype)},QV={kernelName:Eh,backendName:"webgl",kernelFunc:JV};function eU(e,t,n,r){let a=k.sizeFromShape(t),s=k.sizeFromShape(e.shape)/a,i=ye({inputs:{x:e},attrs:{shape:[s,a]},backend:r}),o=oi(i,e.dtype,"max",r),l=ye({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),l}function $_(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{reductionIndices:s,keepDims:i}=r,o=a.shape.length,l=k.parseAxisParam(s,a.shape),c=l,u=C.getAxesPermutation(c,o),h=u!=null,p=n.shouldExecuteOnCPU([a]),d=a;if(h){if(p){let g=n.texData.get(d.dataId).values,_=new Array(o);for(let b=0;b<_.length;b++)_[b]=a.shape[u[b]];let x=km(g,a.shape,a.dtype,u,_);d=n.makeTensorInfo(_,a.dtype);let w=n.texData.get(d.dataId);w.values=x}else d=ep(a,u,n);c=C.getInnerMostAxes(c.length,o)}C.assertAxesAreInnerMostDims("max",c,o);let[f,m]=C.computeOutAndReduceShapes(d.shape,c),A=f;i&&(A=C.expandShapeToKeepDim(f,l));let y;if(p){let g=n.texData.get(d.dataId).values,_=Ez(g,k.sizeFromShape(m),A,a.dtype);y=n.makeTensorInfo(A,a.dtype);let x=n.texData.get(y.dataId);x.values=_}else y=eU(d,m,A,n);return h&&n.disposeIntermediateTensorInfo(d),y}var tU={kernelName:ds,backendName:"webgl",kernelFunc:$_},nU=Jw+`
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return max(a, b);
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`,rU=`
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vec4 result = vec4(max(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+Jd+`
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return result;
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`,aU=Kt({opSnippet:nU,packedOpSnippet:rU,cpuKernelImpl:Cz}),sU={kernelName:ps,backendName:"webgl",kernelFunc:aU};function iU(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t;hl(a,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=r,c=1;k.assert(C.eitherStridesOrDilationsAreOne(i,c),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let u=C.computePool2DInfo(a.shape,s,i,c,o,l);if(u.filterWidth===1&&u.filterHeight===1&&k.arraysEqual(u.inShape,u.outShape))return Tn({inputs:{x:a},backend:n});let h=new sc(u,"max",!1);return n.runWebGLProgram(h,[a],a.dtype)}var oU={kernelName:fs,backendName:"webgl",kernelFunc:iU};function lU(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:c}=r,u=[1,1,1],h=C.computePool3DInfo(a.shape,s,i,u,o,c,l),p=new Sm(h,"max",!1);return n.runWebGLProgram(p,[a],a.dtype)}var uU={kernelName:mu,backendName:"webgl",kernelFunc:lU},cU=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=a-1-e.padInfo.top,o=s-1-e.padInfo.left,l=a*s-1;this.userCode=`
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const ivec2 pads = ivec2(${i}, ${o});
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2020-12-15 14:44:42 +01:00
void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
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ivec2 dyRCCorner = coords.yz - pads;
int dyRCorner = dyRCCorner.x;
int dyCCorner = dyRCCorner.y;
2020-12-15 14:44:42 +01:00
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// 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;
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for (int wR = 0; wR < ${a};
wR += ${r}) {
float dyR = float(dyRCorner + wR) / ${t}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
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continue;
}
int idyR = int(dyR);
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for (int wC = 0; wC < ${s}; wC++) {
float dyC = float(dyCCorner + wC) / ${n}.0;
2020-12-16 20:49:14 +01:00
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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float dyValue = getDy(b, idyR, idyC, d);
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int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));
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// Get the current value, check it against the value from the
// position matrix.
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int curPosValue = wR * ${s} + wC;
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float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
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dotProd += dyValue * mask;
}
}
setOutput(dotProd);
}
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`}},hU=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,c=e.effectiveFilterWidth,u=o-1-e.padInfo.front,h=l-1-e.padInfo.top,p=c-1-e.padInfo.left,d=o*l*c-1;this.userCode=`
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const ivec3 pads = ivec3(${u}, ${h}, ${p});
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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;
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for (int wD = 0; wD < ${o};
wD += ${a}) {
float dyD = float(dyDCorner + wD) / ${t}.0;
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if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
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continue;
}
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int idyD = int(dyD);
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for (int wR = 0; wR < ${l};
wR += ${s}) {
float dyR = float(dyRCorner + wR) / ${n}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
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fract(dyR) > 0.0) {
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continue;
}
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int idyR = int(dyR);
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for (int wC = 0; wC < ${c};
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wC += ${i}) {
float dyC = float(dyCCorner + wC) / ${r}.0;
2020-12-15 14:44:42 +01:00
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
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fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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float dyValue = getDy(batch, idyD, idyR, idyC, ch);
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int maxPosValue = ${d} -
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int(getMaxPos(batch, idyD, idyR, idyC, ch));
2020-12-15 14:44:42 +01:00
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// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
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wD * ${l} * ${c} +
wR * ${c} + wC;
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float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
2020-12-15 14:44:42 +01:00
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dotProd += dyValue * mask;
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}
}
}
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setOutput(dotProd);
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}
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`}};function dU(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s}=t,i=s,{filterSize:o,strides:l,pad:c,dimRoundingMode:u}=r,h=[1,1,1],p=C.computePool3DInfo(i.shape,o,l,h,c,u),d=new Sm(p,"max",!0),f=n.runWebGLProgram(d,[i],i.dtype),m=new hU(p),A=n.runWebGLProgram(m,[a,f],i.dtype);return n.disposeIntermediateTensorInfo(f),A}var pU={kernelName:Rh,backendName:"webgl",kernelFunc:dU};function fU(e){let{inputs:t,backend:n,attrs:r}=e,{dy:a,input:s,output:i}=t,o=s;hl([s,i],"maxPoolGrad");let{filterSize:l,strides:c,pad:u,dimRoundingMode:h}=r,p=C.computePool2DInfo(o.shape,l,c,1,u,h),d=!0,f=new sc(p,"max",d),m=n.runWebGLProgram(f,[o],o.dtype),A=new cU(p),y=n.runWebGLProgram(A,[a,m],o.dtype);return n.disposeIntermediateTensorInfo(m),y}var mU={kernelName:Ch,backendName:"webgl",kernelFunc:fU};function AU(e,t,n,r){let a=new sc(n,"max",!1),s=r.runWebGLProgram(a,[e],"float32");a=new sc(n,"max",!0,!0,t);let i=r.runWebGLProgram(a,[e],"float32");return[s,i]}var yU={kernelName:Fh,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:r}=e,{filterSize:a,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;k.assert(r.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${r.shape.length}.`);let c=[1,1];k.assert(C.eitherStridesOrDilationsAreOne(s,c),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${c}'`);let u=C.computePool2DInfo(r.shape,a,s,c,i),[h,p]=AU(r,o,u,l);return[h,p]}};function gU(e,t,n,r){let a=k.sizeFromShape(t),s=k.sizeFromShape(e.shape)/a,i=ye({inputs:{x:e},attrs:{shape:[s,a]},backend:r}),o=oi(i,"float32","mean",r),l=ye({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),l}var xU={kernelName:ms,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:r}=e,{keepDims:a,axis:s}=t,i=n,o=r.shape.length,l=k.parseAxisParam(s,r.shape),c=l,u=C.getAxesPermutation(c,o),h=u!=null,p=i.shouldExecuteOnCPU([r]),d=[],f=r;if(h){if(p){let _=i.texData.get(f.dataId).values,x=new Array(o);for(let N=0;N<x.length;N++)x[N]=r.shape[u[N]];let w=km(_,r.shape,r.dtype,u,x);f=i.makeTensorInfo(x,r.dtype);let b=i.texData.get(f.dataId);b.values=w}else f=ep(r,u,i);d.push(f),c=C.getInnerMostAxes(c.length,o)}C.assertAxesAreInnerMostDims("sum",c,o);let[m,A]=C.computeOutAndReduceShapes(f.shape,c),y=m;a&&(y=C.expandShapeToKeepDim(m,l));let g=gU(f,A,y,i);for(let _ of d)i.disposeIntermediateTensorInfo(_);return g}};function wU(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=k.parseAxisParam(s,a.shape),c=l,u=C.getAxesPermutation(c,o),h=a;u!=null&&(h=fn({inputs:{x:a},backend:n,attrs:{perm:u}}),c=C.getInnerMostAxes(c.length,a.shape.length)),C.assertAxesAreInnerMostDims("min",c,o);let[p,d]=C.computeOutAndReduceShapes(h.shape,c),f=k.sizeFromShape(d),m=ye({inputs:{x:h},backend:n,attrs:{shape:[-1,f]}}),A=oi(m,m.dtype,"min",n),y;if(i){let g=C.expandShapeToKeepDim(p,l);y=ye({inputs:{x:A},backend:n,attrs:{shape:g}})}else y=ye({inputs:{x:A},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(A),u!=null&&n.disposeIntermediateTensorInfo(h),y}var _U={kernelName:As,backendName:"webgl",kernelFunc:wU},bU=Jw+`
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return min(a, b);
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`,vU=`
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vec4 result = vec4(min(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
2021-02-08 17:39:09 +01:00
`+Jd+`
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return result;
2021-02-08 17:39:09 +01:00
`,kU=Kt({opSnippet:bU,packedOpSnippet:vU,cpuKernelImpl:Rz}),IU={kernelName:ys,backendName:"webgl",kernelFunc:kU},NU=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((c,u)=>c[0]+e[u]+c[1]);let r=e.length,a=ut(r),s=t.map(c=>c[0]).join(","),i=t.map((c,u)=>c[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r),l=n==="reflect"?0:1;if(r===1){this.userCode=`
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int start = ${s};
int end = ${i};
2020-12-15 14:44:42 +01:00
void main() {
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int outC = getOutputCoords();
if (outC < start) {
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outC = start * 2 - outC - ${l};
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} else if(outC >= end) {
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outC = (end - 1) * 2 - outC + ${l};
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}
setOutput(getX(outC - start));
2020-12-15 14:44:42 +01:00
}
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`;return}this.userCode=`
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${a} start = ${a}(${s});
${a} end = ${a}(${i});
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2020-12-15 14:44:42 +01:00
void main() {
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${a} outC = getOutputCoords();
for (int i = 0; i < ${r}; i++) {
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if (outC[i] < start[i]) {
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outC[i] = start[i] * 2 - outC[i] - ${l};
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} else if(outC[i] >= end[i]) {
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outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};
2020-12-15 14:44:42 +01:00
}
}
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${a} coords = outC - start;
setOutput(getX(${o}));
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}
2021-02-08 17:39:09 +01:00
`}},SU=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((d,f)=>d[0]+e[f]+d[1]);let r=e.length,a=ut(r),s=t.map(d=>d[0]).join(","),i=t.map((d,f)=>d[0]+e[f]).join(","),o=sn("rc",r),l=sn("source",r),c=`${o[r-1]} < ${this.outputShape[r-1]}`,u=r===1?"source":`vec2(${l.slice(-2).join()})`,h=n==="reflect"?0:1,p="";if(r===1){let d=`
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${a} source = rc;
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if (source < start) {
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source = start * 2 - source - ${h};
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} else if (source >= end) {
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source = (end - 1) * 2 - source + ${h};
2020-12-15 14:44:42 +01:00
}
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source -= start;
2021-01-29 16:26:58 +01:00
`;p=`
2021-01-18 14:22:51 +01:00
${a} rc = outputLoc;
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${d}
result[0] = getChannel(getX(${l.join()}), ${u});
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${o[r-1]} += 1;
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if(${c}) {
${d}
result[1] = getChannel(getX(${l.join()}), ${u});
2020-11-16 21:51:46 +01:00
}
2021-01-29 16:26:58 +01:00
`}else{let d=`
2021-01-18 14:22:51 +01:00
${a} source = rc;
${a} lt = ${a}(lessThan(source, start));
${a} gte = ${a}(greaterThanEqual(source, end));
${a} orig = 1 - (lt + gte);
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source = orig * source +
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lt * (start * 2 - source - ${h}) +
gte * ((end - 1) * 2 - source + ${h});
2021-01-03 16:41:56 +01:00
source -= start;
2021-01-29 16:26:58 +01:00
`;p=`
2021-01-18 14:22:51 +01:00
${a} rc = outputLoc;
2021-01-29 16:26:58 +01:00
${d}
result[0] = getChannel(getX(${l.join()}), ${u});
2021-01-18 14:22:51 +01:00
${o[r-1]} += 1;
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if(${c}) {
${d}
result[1] = getChannel(getX(${l.join()}), ${u});
2020-11-16 21:51:46 +01:00
}
2021-01-03 16:41:56 +01:00
rc = outputLoc;
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${o[r-2]} += 1;
if(${o[r-2]} < ${this.outputShape[r-2]}) {
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${d}
result[2] = getChannel(getX(${l.join()}), ${u});
2021-01-18 14:22:51 +01:00
${o[r-1]} += 1;
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if(${c}) {
${d}
result[3] = getChannel(getX(${l.join()}), ${u});
2021-01-03 16:41:56 +01:00
}
2020-11-16 21:51:46 +01:00
}
2021-01-03 16:41:56 +01:00
`}this.userCode=`
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const ${a} start = ${a}(${s});
const ${a} end = ${a}(${i});
2020-11-10 02:13:38 +01:00
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void main() {
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${a} outputLoc = getOutputCoords();
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vec4 result = vec4(0.);
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${p}
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setOutput(result);
2020-12-16 20:49:14 +01:00
}
2021-02-08 17:39:09 +01:00
`}},TU=({inputs:e,backend:t,attrs:n})=>{let{x:r}=e,{paddings:a,mode:s}=n,i=Q().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new SU(r.shape,a,s):new NU(r.shape,a,s);return t.runWebGLProgram(i,[r],r.dtype)},EU={kernelName:Au,backendName:"webgl",kernelFunc:TU},CU=`if (b == 0.0) return NAN;
return mod(a, b);`,RU=`
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vec4 result = mod(a, b);
vec4 isNaN = vec4(equal(b, vec4(0.0)));
2021-02-08 17:39:09 +01:00
`+Jd+`
2021-01-03 16:41:56 +01:00
return result;
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`,FU=Kt({opSnippet:CU,packedOpSnippet:RU}),MU={kernelName:ho,backendName:"webgl",kernelFunc:FU},OU=class{constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode=`
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uniform float seed;
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
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float r = random(seed);
float cdf = 0.0;
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for (int i = 0; i < ${t-1}; i++) {
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cdf += getProbs(batch, i);
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if (r < cdf) {
setOutput(float(i));
return;
}
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}
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// If no other event happened, last event happened.
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setOutput(float(${t-1}));
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}
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`}getCustomSetupFunc(e){return(t,n)=>{this.seedLoc==null&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}},$U=`
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if (a == b) {
return 1.0;
};
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return a / b;`,DU=`
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// vec4 one = vec4(equal(a, b));
// return one + (vec4(1.0) - one) * a / b;
vec4 result = a / b;
if(a.x == b.x) {
result.x = 1.;
}
if(a.y == b.y) {
result.y = 1.;
}
if(a.z == b.z) {
result.z = 1.;
}
if(a.w == b.w) {
result.w = 1.;
}
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return result;
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`,D_=Kt({opSnippet:$U,packedOpSnippet:DU,checkOutOfBounds:!0}),zU={kernelName:as,backendName:"webgl",kernelFunc:D_},z_="return a - b;",P_=Kt({opSnippet:z_,packedOpSnippet:z_,supportsComplex:!0,cpuKernelImpl:Lz}),PU={kernelName:$s,backendName:"webgl",kernelFunc:P_};function L_(e){let{inputs:t,backend:n,attrs:r}=e,{logits:a}=t,{dim:s}=r,i=k.parseAxisParam([s],a.shape),o=$_({inputs:{x:a},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=C.expandShapeToKeepDim(o.shape,i),c=ye({inputs:{x:o},backend:n,attrs:{shape:l}}),u=P_({inputs:{a,b:c},backend:n}),h=C_({inputs:{x:u},backend:n}),p=Nm({inputs:{x:h},backend:n,attrs:{axis:i,keepDims:!1}}),d=ye({inputs:{x:p},backend:n,attrs:{shape:l}}),f=D_({inputs:{a:h,b:d},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),f}var LU={kernelName:Ms,backendName:"webgl",kernelFunc:L_};function WU(e){let{inputs:t,backend:n,attrs:r}=e,{logits:a}=t,{numSamples:s,seed:i,normalized:o}=r,l=o?a:L_({inputs:{logits:a},backend:n,attrs:{dim:a.shape.length-1}}),c=l.shape[0],u=l.shape[1],h=new OU(c,u,s),p=h.getCustomSetupFunc(i),d=n.runWebGLProgram(h,[l],"int32",p);return o||n.disposeIntermediateTensorInfo(l),d}var BU={kernelName:Mh,backendName:"webgl",kernelFunc:WU},W_="return -x;";function VU(e){let{inputs:t,backend:n}=e,{x:r}=t;if(n.shouldExecuteOnCPU([r])){let s=n.texData.get(r.dataId),[i,o]=Mz(s.values,r.shape,r.dtype);return n.makeTensorInfo(o,r.dtype,i)}let a;return Q().getBool("WEBGL_PACK_UNARY_OPERATIONS")?a=new yl(r.shape,W_):a=new Sa(r.shape,W_),n.runWebGLProgram(a,[r],r.dtype)}var UU={kernelName:po,backendName:"webgl",kernelFunc:VU},jU=Rr.nonMaxSuppressionV3Impl;function GU(e){C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=r,c=n.readSync(a.dataId),u=n.readSync(s.dataId),{selectedIndices:h}=jU(c,u,i,o,l);return n.makeTensorInfo([h.length],"int32",new Int32Array(h))}var HU={kernelName:mo,backendName:"webgl",kernelFunc:GU},qU=Rr.nonMaxSuppressionV4Impl;function XU(e){C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:c}=r,u=n.readSync(a.dataId),h=n.readSync(s.dataId),{selectedIndices:p,validOutputs:d}=qU(u,h,i,o,l,c);return[n.makeTensorInfo([p.length],"int32",new Int32Array(p)),n.makeTensorInfo([],"int32",new Int32Array([d]))]}var KU={kernelName:Ao,backendName:"webgl",kernelFunc:XU},ZU=Rr.nonMaxSuppressionV5Impl;function YU(e){C.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:r}=e,{boxes:a,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:c}=r,u=n.readSync(a.dataId),h=n.readSync(s.dataId),p=i,d=o,f=l,m=c,{selectedIndices:A,selectedScores:y}=ZU(u,h,p,d,f,m);return[n.makeTensorInfo([A.length],"int32",new Int32Array(A)),n.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var JU={kernelName:yo,backendName:"webgl",kernelFunc:YU},QU=class{constructor(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
int index = round(getIndices(coords.x));
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setOutput(mix(float(${r}), float(${n}),
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float(index == coords.y)));
}
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`}},ej=e=>{let{inputs:t,backend:n,attrs:r}=e,{indices:a}=t,{depth:s,onValue:i,offValue:o}=r,l=k.sizeFromShape(a.shape),c=new QU(l,s,i,o),u=ye({inputs:{x:a},backend:n,attrs:{shape:[l]}}),h=n.runWebGLProgram(c,[u],a.dtype);n.disposeIntermediateTensorInfo(u);let p=[...a.shape,s],d=ye({inputs:{x:h},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(h),d},tj={kernelName:xs,backendName:"webgl",kernelFunc:ej};function sp(e){let{inputs:t,backend:n}=e,{x:r}=t;if(r.dtype==="complex64"){let a=oc({inputs:{input:r},backend:n}),s=sp({inputs:{x:a},backend:n}),i=ap({inputs:{input:r},backend:n}),o=sp({inputs:{x:i},backend:n}),l=Ta({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return Rm({attrs:{shape:r.shape,dtype:r.dtype,value:r.dtype==="string"?"":0},backend:n})}var nj={kernelName:$o,backendName:"webgl",kernelFunc:sp};function B_(e){let{inputs:t,backend:n}=e,{x:r}=t;if(r.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(r.dtype==="complex64"){let a=oc({inputs:{input:r},backend:n}),s=B_({inputs:{x:a},backend:n}),i=ap({inputs:{input:r},backend:n}),o=sp({inputs:{x:i},backend:n}),l=Ta({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return Rm({attrs:{shape:r.shape,dtype:r.dtype,value:1},backend:n})}var rj={kernelName:go,backendName:"webgl",kernelFunc:B_};function aj(e){let{inputs:t,backend:n,attrs:r}=e,{axis:a}=r;if(t.length===1)return Cm({inputs:{input:t[0]},backend:n,attrs:{dim:a}});let s=t[0].shape,i=t[0].dtype;t.forEach(u=>{k.assertShapesMatch(s,u.shape,"All tensors passed to stack must have matching shapes"),k.assert(i===u.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(u=>{let h=Cm({inputs:{input:u},backend:n,attrs:{dim:a}});return o.push(h),h}),c=w_({inputs:l,backend:n,attrs:{axis:a}});return o.forEach(u=>n.disposeIntermediateTensorInfo(u)),c}var sj={kernelName:xo,backendName:"webgl",kernelFunc:aj},ij=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((l,c)=>l[0]+e[c]+l[1]);let r=e.length,a=ut(r),s=t.map(l=>l[0]).join(","),i=t.map((l,c)=>l[0]+e[c]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);if(r===1){this.userCode=`
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int start = ${s};
int end = ${i};
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void main() {
int outC = getOutputCoords();
if (outC < start || outC >= end) {
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setOutput(float(${n}));
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} else {
setOutput(getX(outC - start));
}
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}
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`;return}this.userCode=`
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${a} start = ${a}(${s});
${a} end = ${a}(${i});
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void main() {
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${a} outC = getOutputCoords();
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if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
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setOutput(float(${n}));
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} else {
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${a} coords = outC - start;
setOutput(getX(${o}));
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}
}
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`}},oj=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((f,m)=>f[0]+e[m]+f[1]);let r=e.length,a=ut(r),s=t.map(f=>f[0]).join(","),i=t.map((f,m)=>f[0]+e[m]).join(","),o=sn("rc",r),l=sn("source",r),c=`${o[r-1]} < ${this.outputShape[r-1]}`,u=r===1?"source":`vec2(${l.slice(-2).join()})`,h=[`${a} rc = outputLoc;`,`${o[r-1]} += 1;
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if(${c}) {
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`,r===1?"":`}
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rc = outputLoc;
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${o[r-2]} += 1;
if(${o[r-2]} < ${this.outputShape[r-2]}) {`,r===1?"":` ${o[r-1]} += 1;
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if(${c}) {`],p=r===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",d="";for(let f=0,m=r===1?2:4;f<m;f++)d+=`
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${h[f]}
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if (${p}) {
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result[${f}] = float(${n});
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} else {
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${a} source = rc - start;
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result[${f}] = getChannel(getX(${l.join()}), ${u});
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}
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`;d+=r===1?"} ":"}}",this.userCode=`
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const ${a} start = ${a}(${s});
const ${a} end = ${a}(${i});
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void main() {
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${a} outputLoc = getOutputCoords();
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vec4 result = vec4(0.);
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${d}
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setOutput(result);
}
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`}},V_=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{paddings:s,constantValue:i}=r,o=Q().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new oj(a.shape,s,i):new ij(a.shape,s,i);return n.runWebGLProgram(o,[a],a.dtype)},lj={kernelName:ws,backendName:"webgl",kernelFunc:V_},uj=`
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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);
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`,cj=`
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// 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;
vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));
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`+Jd+`
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return result;
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`,hj=Kt({opSnippet:uj,packedOpSnippet:cj}),dj={kernelName:_s,backendName:"webgl",kernelFunc:hj};function pj(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{axis:s,keepDims:i}=r,o=a.shape.length,l=[],c=k.parseAxisParam(s,a.shape),u=c,h=C.getAxesPermutation(u,o),p=a;h!=null&&(p=fn({inputs:{x:a},backend:n,attrs:{perm:h}}),u=C.getInnerMostAxes(u.length,o),l.push(p)),C.assertAxesAreInnerMostDims("prod",u,o);let d;if(n.shouldExecuteOnCPU([p])){let f=n.texData.get(p.dataId).values,{outVals:m,outShape:A,outDtype:y}=Oz(p.shape,p.dtype,f,u);d=n.makeTensorInfo(A,y,m)}else{let[f,m]=C.computeOutAndReduceShapes(p.shape,u),A=k.sizeFromShape(m),y=ye({inputs:{x:p},backend:n,attrs:{shape:[-1,A]}}),g=jh(a.dtype),_=oi(y,g,"prod",n);d=ye({inputs:{x:_},backend:n,attrs:{shape:f}}),l.push(y),l.push(_)}if(i){l.push(d);let f=C.expandShapeToKeepDim(d.shape,c);d=ye({inputs:{x:d},backend:n,attrs:{shape:f}})}return l.forEach(f=>n.disposeIntermediateTensorInfo(f)),d}var fj={kernelName:wo,backendName:"webgl",kernelFunc:pj},U_=e=>{let{backend:t,attrs:n}=e,{start:r,stop:a,step:s,dtype:i}=n,o=$z(r,a,s,i);return t.makeTensorInfo([o.length],i,o)},mj={kernelName:yu,backendName:"webgl",kernelFunc:U_},Aj="return 1.0 / x;",yj=Ke({opSnippet:Aj}),gj={kernelName:_o,backendName:"webgl",kernelFunc:yj},xj=hr+`
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return (x < 0.0) ? 0.0 : x;
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`,wj=`
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vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
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`,_j=Ke({opSnippet:xj,packedOpSnippet:wj}),bj={kernelName:vs,backendName:"webgl",kernelFunc:_j},vj=hr+`
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return (x < 0.0) ? 0.0 : min(6.0, x);
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`,kj=`
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vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
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`,Ij=Ke({opSnippet:vj,packedOpSnippet:kj}),Nj={kernelName:Is,backendName:"webgl",kernelFunc:Ij},Sj=class{constructor(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[r&&t>1?i-1:i,r&&n>1?o-1:o],u=[r&&t>1?t-1:t,r&&n>1?n-1:n],h;a?h="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":h="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
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const vec2 effectiveInputOverOutputRatioRC = vec2(
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${c[0]/u[0]},
${c[1]/u[1]});
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const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);
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void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
// Fractional source index.
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vec2 sourceFracIndexRC = ${h};
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// Compute the four integer indices.
ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));
ivec2 sourceCeilRC = ivec2(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);
float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);
float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);
float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);
vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);
float top = topLeft + (topRight - topLeft) * fracRC.y;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;
float newValue = top + (bottom - top) * fracRC.x;
setOutput(newValue);
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}
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`}},Tj=class{constructor(e,t,n,r,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[r&&t>1?i-1:i,r&&n>1?o-1:o],u=[r&&t>1?t-1:t,r&&n>1?n-1:n],h;a?h="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":h="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
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const vec3 effectiveInputOverOutputRatioRC = vec3(
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${c[0]/u[0]},
${c[1]/u[1]},
${c[1]/u[1]});
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const vec3 inputShapeRC = vec3(${i}.0, ${o}.0,
${o}.0);
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float getAValue(int b, int r, int c, int d) {
return getChannel(getA(b, r, c, d), vec2(c, d));
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}
void main() {
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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);
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// Fractional source index.
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vec3 sourceFracIndexRC = ${h};
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// 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.
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bool hasNextCol = d < ${l-1};
bool hasNextRow = coords.z < ${n-1};
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// 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);
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}
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`}};function Ej(e){let{inputs:t,backend:n,attrs:r}=e,{images:a}=t,{alignCorners:s,halfPixelCenters:i,size:o}=r,[l,c]=o,u=Q().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Tj(a.shape,l,c,s,i):new Sj(a.shape,l,c,s,i);return n.runWebGLProgram(u,[a],"float32")}var Cj={kernelName:ks,backendName:"webgl",kernelFunc:Ej},Rj=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,r,a]=t,[,s,i]=e,o=[n&&s>1?r-1:r,n&&i>1?a-1:a],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],c=o[0]/l[0],u=o[1]/l[1],h=1/c,p=1/u,d=Math.ceil(h)*2+2,f=Math.ceil(p)*2+2;this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
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float accumulator = 0.0;
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const float heightScale = float(${c});
const float widthScale = float(${u});
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const float invHeightScale = float(${h});
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const float invWidthScale = float(${p});
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const int winHeight = int(${d});
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const int winWidth = int(${f});
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// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(startRLerp - float(winHeight / 2));
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float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(startCLerp - float(winWidth / 2));
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// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
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// Guard against the window exceeding the bounds of dy
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if (dyR < 0 || dyR >= ${s}) {
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continue;
}
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for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
int dyC = dyCOffset + startDyC;
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// Guard against the window exceeding the bounds of dy
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if (dyC < 0 || dyC >= ${i}) {
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continue;
}
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float dxR = float(dyR) * heightScale;
int topDxRIndex = int(floor(dxR));
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int bottomDxRIndex = int(min(ceil(dxR), ${r-1}.0));
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float dxRLerp = dxR - float(topDxRIndex);
float inverseDxRLerp = 1.0 - dxRLerp;
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float dxC = float(dyC) * widthScale;
int leftDxCIndex = int(floor(dxC));
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int rightDxCIndex = int(min(ceil(dxC), ${a-1}.0));
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float dxCLerp = dxC - float(leftDxCIndex);
float inverseDxCLerp = 1.0 - dxCLerp;
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if (r == topDxRIndex && c == leftDxCIndex) {
// topLeft
accumulator +=
getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;
}
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if (r == topDxRIndex && c == rightDxCIndex) {
// topRight
accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;
}
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if (r == bottomDxRIndex && c == leftDxCIndex) {
// bottomLeft
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;
}
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if (r == bottomDxRIndex && c == rightDxCIndex) {
// bottomRight
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;
}
}
}
// End loop over dy
setOutput(accumulator);
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}
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`}};function Fj(e){let{inputs:t,backend:n,attrs:r}=e,{images:a,dy:s}=t,{alignCorners:i}=r,o=new Rj(s.shape,a.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Mj={kernelName:Dh,backendName:"webgl",kernelFunc:Fj},Oj=class{constructor(e,t,n,r,a){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let c=[r&&t>1?i-1:i,r&&n>1?o-1:o],u=[r&&t>1?t-1:t,r&&n>1?n-1:n],h=r?"0.5":"0.0",p;a?p="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":p="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
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const vec2 effectiveInputOverOutputRatioRC = vec2(
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${c[0]/u[0]},
${c[1]/u[1]});
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const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);
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void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
// Fractional source index.
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vec2 sourceFracIndexRC = ${p};
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// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2(
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min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${h})));
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float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);
setOutput(newValue);
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}
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`}};function $j(e){let{inputs:t,backend:n,attrs:r}=e,{images:a}=t,{alignCorners:s,halfPixelCenters:i,size:o}=r,[l,c]=o,u=new Oj(a.shape,l,c,s,i);return n.runWebGLProgram(u,[a],a.dtype)}var Dj={kernelName:gu,backendName:"webgl",kernelFunc:$j},zj=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,r,a]=t,[,s,i]=e,o=[n&&s>1?r-1:r,n&&i>1?a-1:a],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],c=o[0]/l[0],u=o[1]/l[1],h=1/c,p=1/u,d=Math.ceil(h)*2+2,f=Math.ceil(p)*2+2;this.userCode=`
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void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
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float accumulator = 0.0;
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const float heightScale = float(${c});
const float widthScale = float(${u});
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const float invHeightScale = float(${h});
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const float invWidthScale = float(${p});
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const int winHeight = int(${d});
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const int winWidth = int(${f});
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// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(floor(startRLerp - float(winHeight / 2)));
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float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(floor(startCLerp - float(winWidth / 2)));
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// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
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// Guard against the window exceeding the bounds of dy
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if (dyR < 0 || dyR >= ${s}) {
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continue;
}
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for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
int dyC = dyCOffset + startDyC;
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// Guard against the window exceeding the bounds of dy
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if (dyC < 0 || dyC >= ${i}) {
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continue;
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}
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float sourceFracRow =
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float(${o[0]}) *
(float(dyR) / float(${l[0]}));
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float sourceFracCol =
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float(${o[1]}) *
(float(dyC) / float(${l[1]}));
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int sourceNearestRow = int(min(
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float(int(${r}) - 1),
${n} ? float(round(sourceFracRow)) :
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float(floor(sourceFracRow))));
int sourceNearestCol = int(min(
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float(int(${a}) - 1),
${n} ? float(round(sourceFracCol)) :
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float(floor(sourceFracCol))));
if (r == sourceNearestRow && c == sourceNearestCol) {
accumulator += getDy(b, dyR, dyC, d);
}
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}
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}
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// End loop over dy
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setOutput(accumulator);
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}
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`}};function Pj(e){let{inputs:t,backend:n,attrs:r}=e,{images:a,dy:s}=t,{alignCorners:i}=r,o=new zj(s.shape,a.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Lj={kernelName:$h,backendName:"webgl",kernelFunc:Pj},Wj=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=`
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void main() {
int coord = getOutputCoords();
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setOutput(getX(${e[0]} - coord - 1));
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}
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`;return}let r=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,a=e.map((i,o)=>r(o)).join(","),s=ut(n);this.userCode=`
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void main() {
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${s} coords = getOutputCoords();
setOutput(getX(${a}));
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}
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`}},Bj=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;let r=sn("rc",n),a=`${r[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${r[n-2]} + 1 < ${this.outputShape[n-2]}`,i=ut(n);n===1?this.userCode=`
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void main(){
int rc = getOutputCoords();
vec4 result = vec4(0.);
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result.r = getChannel(getX(${e[0]} - rc - 1),
${e[0]} - rc - 1);
if(${a}){
result.g = getChannel(getX(${e[0]} - (rc + 1) - 1),
${e[0]} - (rc + 1) - 1);
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}
setOutput(result);
}
`:this.userCode=`
void main() {
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${i} rc = getOutputCoords();
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vec4 result = vec4(0.);
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result.r = ${o(r.slice())};
if(${a}){
result.g = ${l(r.slice())};
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}
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if(${s}) {
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result.b = ${c(r.slice())};
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if(${a}) {
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result.a = ${u(r.slice())};
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}
}
setOutput(result);
}
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`;function o(d){return h(d)}function l(d){return d[n-1]="("+d[n-1]+" + 1)",h(d)}function c(d){return d[n-2]="("+d[n-2]+" + 1)",h(d)}function u(d){return d[n-1]="("+d[n-1]+" + 1)",d[n-2]="("+d[n-2]+" + 1)",h(d)}function h(d){let f=e.map((y,g)=>p(g,d)),m=f.join(","),A=f.slice(-2).join(",");return`getChannel(getX(${m}), vec2(${A}))`}function p(d,f){return t.indexOf(d)!==-1&&e[d]!==1?`${e[d]} - ${f[d]} - 1`:`${f[d]}`}}};function Vj(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{dims:s}=r,i=a.shape.length,o=k.parseAxisParam(s,a.shape);if(i===0)return Tn({inputs:{x:a},backend:n});let l=Q().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Bj(a.shape,o):new Wj(a.shape,o);return n.runWebGLProgram(l,[a],a.dtype)}var Uj={kernelName:Ns,backendName:"webgl",kernelFunc:Vj},jj=class{constructor(e,t,n,r){this.variableNames=["Image"],this.outputShape=[];let a=e[1],s=e[2],i=Math.sin(t).toFixed(3),o=Math.cos(t).toFixed(3);this.outputShape=e;let[l,c]=C.getImageCenter(r,a,s),u=l.toFixed(3),h=c.toFixed(3),p="";typeof n=="number"?p=`float outputValue = ${n.toFixed(2)};`:p=`
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vec3 fill = vec3(${n.join(",")});
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float outputValue = fill[coords[3]];`,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
int y = coords[1];
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float coordXFloat = (float(x) - ${u}) * ${o} - (float(y) - ${h}) * ${i};
float coordYFloat = (float(x) - ${u}) * ${i} + (float(y) - ${h}) * ${o};
int coordX = int(round(coordXFloat + ${u}));
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int coordY = int(round(coordYFloat + ${h}));
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${p}
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if(coordX >= 0 && coordX < ${s} && coordY >= 0 && coordY < ${a}) {
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outputValue = getImage(coords[0], coordY, coordX, coords[3]);
}
setOutput(outputValue);
}
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`}},Gj={kernelName:Do,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:r}=e,{radians:a,fillValue:s,center:i}=t,o=n,l=new jj(r.shape,a,s,i);return o.runWebGLProgram(l,[r],r.dtype)}},Hj=`
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// OpenGL ES does not support round function.
// The algorithm is based on banker's rounding.
float base = floor(x);
if ((x - base) < 0.5) {
return floor(x);
} else if ((x - base) > 0.5) {
return ceil(x);
} else {
if (mod(base, 2.0) == 0.0) {
return base;
} else {
return base + 1.0;
}
}
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`,qj=Ke({opSnippet:Hj}),Xj={kernelName:Ss,backendName:"webgl",kernelFunc:qj},Kj="return inversesqrt(x);",Zj=Ke({opSnippet:Kj,cpuKernelImpl:Dz}),Yj={kernelName:Ts,backendName:"webgl",kernelFunc:Zj},j_=class{constructor(e,t,n,r,a,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=ut(a.length),l=ut(s.length),c="";n===1?c="i":n===2&&(c="i, j");let u=`getIndices(${c})`,h="";r===1?h="i":r===2&&(h="i, coords[1]");let p=`getUpdates(${h})`,d=t>1?"strides[j]":"strides";this.userCode=`
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${o} strides = ${o}(${a});
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void main() {
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${l} coords = getOutputCoords();
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float sum = 0.0;
bool found = false;
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for (int i = 0; i < ${e}; i++) {
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int flattenedIndex = 0;
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for (int j = 0; j < ${t}; j++) {
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int index = round(${u});
flattenedIndex += index * ${d};
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}
if (flattenedIndex == coords[0]) {
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sum += ${p};
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found = true;
}
}
setOutput(mix(getDefaultValue(), sum, float(found)));
}
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`}};function Jj(e){let{inputs:t,backend:n,attrs:r}=e,{indices:a,updates:s}=t,{shape:i}=r,{sliceRank:o,numUpdates:l,sliceSize:c,strides:u,outputSize:h}=C.calculateShapes(s,a,i),p=[h/c,c];if(h===0)return n.makeTensorInfo(i,a.dtype);let d=ye({inputs:{x:a},backend:n,attrs:{shape:[l,o]}}),f=ye({inputs:{x:s},backend:n,attrs:{shape:[l,c]}}),m=n.makeTensorInfo([],"float32",new Float32Array([0])),A=new j_(l,o,d.shape.length,f.shape.length,u,p),y=n.runWebGLProgram(A,[f,d,m],f.dtype),g=ye({inputs:{x:y},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(m),g}var Qj={kernelName:vo,backendName:"webgl",kernelFunc:Jj},eG=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let r,a;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)a="resRC",r="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let c=0;c<t.length;c++)l.push(`${i[c]}`),c<e&&o.push(`${i[c]}`);r=o.join(),a=l.join()}let s=ut(n);this.userCode=`
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void main() {
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${s} resRC = getOutputCoords();
float cVal = getC(${r});
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if (cVal >= 1.0) {
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setOutput(getA(${a}));
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} else {
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setOutput(getB(${a}));
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}
}
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`}};function tG(e){let{inputs:t,backend:n}=e,{condition:r,t:a,e:s}=t,i=new eG(r.shape.length,a.shape,a.shape.length);return n.runWebGLProgram(i,[r,a,s],Zn(a.dtype,s.dtype))}var nG={kernelName:ko,backendName:"webgl",kernelFunc:tG},rG=`
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// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
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float scaleAlpha = ${C.SELU_SCALEALPHA};
float scale = ${C.SELU_SCALE};
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return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
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`,aG=Ke({opSnippet:rG}),sG={kernelName:Io,backendName:"webgl",kernelFunc:aG},iG="return 1.0 / (1.0 + exp(-1.0 * x));",oG=Ke({opSnippet:iG}),lG={kernelName:Cs,backendName:"webgl",kernelFunc:oG},uG=`
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if (isnan(x)) { return 0.0; }
return sign(x);
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`,cG=Ke({opSnippet:uG}),hG={kernelName:To,backendName:"webgl",kernelFunc:cG},dG=r_+`
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return sin(x);
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`,pG=Ke({opSnippet:dG}),fG={kernelName:Es,backendName:"webgl",kernelFunc:pG},mG=`
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float e2x = exp(x);
return (e2x - 1.0 / e2x) / 2.0;
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`,AG=Ke({opSnippet:mG}),yG={kernelName:So,backendName:"webgl",kernelFunc:AG},gG=`
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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;
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`,xG=Ke({opSnippet:gG}),wG={kernelName:Eo,backendName:"webgl",kernelFunc:xG},_G=e=>{let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{blockShape:s,paddings:i}=r;k.assert(a.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,g)=>y*g),l=[[0,0]];l.push(...i);for(let y=1+s.length;y<a.shape.length;++y)l.push([0,0]);let c=[],u=V_({inputs:{x:a},backend:n,attrs:{paddings:l,constantValue:0}}),h=C.getReshaped(u.shape,s,o,!1),p=C.getPermuted(h.length,s.length,!1),d=C.getReshapedPermuted(u.shape,s,o,!1),f=ye({inputs:{x:u},backend:n,attrs:{shape:h}}),m=fn({inputs:{x:f},backend:n,attrs:{perm:p}}),A=ye({inputs:{x:m},backend:n,attrs:{shape:d}});return c.push(u),c.push(f),c.push(m),c.forEach(y=>n.disposeIntermediateTensorInfo(y)),A},bG={kernelName:xu,backendName:"webgl",kernelFunc:_G};function vG(e){let{inputs:t,backend:n,attrs:r}=e,{sparseIndices:a,sparseValues:s,defaultValue:i}=t,{outputShape:o}=r,{sliceRank:l,numUpdates:c,strides:u,outputSize:h}=C.calculateShapes(s,a,o),p=!1,d=new j_(c,l,a.shape.length,s.shape.length,u,[h,1],p),f=n.runWebGLProgram(d,[s,a,i],s.dtype),m=ye({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(f),m}var kG={kernelName:zh,backendName:"webgl",kernelFunc:vG};function IG(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{numOrSizeSplits:s,axis:i}=r,o=k.parseAxisParam(i,a.shape)[0],l=C.prepareSplitSize(a,s,o),c=a.shape.length,u=new Array(c).fill(0),h=a.shape.slice();return l.map(p=>{let d=[...h];d[o]=p;let f=ic({inputs:{x:a},backend:n,attrs:{begin:u,size:d}});return u[o]+=p,f})}var NG={kernelName:Co,backendName:"webgl",kernelFunc:IG},SG="return sqrt(x);",TG=Ke({opSnippet:SG}),EG={kernelName:Rs,backendName:"webgl",kernelFunc:TG},CG="return x * x;",RG=Ke({opSnippet:CG}),FG={kernelName:wu,backendName:"webgl",kernelFunc:RG},G_="return (a - b) * (a - b);",MG=Kt({opSnippet:G_,packedOpSnippet:G_}),OG={kernelName:Os,backendName:"webgl",kernelFunc:MG};function $G({inputs:e,attrs:t,backend:n}){let{x:r}=e,a=hr+`
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return x > 0.0 ? 1.0 : float(${t.alpha});
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`,s=new Sa(r.shape,a);return n.runWebGLProgram(s,[r],r.dtype)}var DG={kernelName:ma,backendName:"webgl",kernelFunc:$G},zG=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let r=n.length,a=ut(n.length),s=ut(n.length),i="";if(r===1)i="coords * strides + begin";else{let o=0;i=n.map((l,c)=>(o++,n.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${o-1}] * strides[${c}] + begin[${c}]`)).join(",")}this.userCode=`
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${a} begin = ${a}(${e});
${a} strides = ${a}(${t});
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void main() {
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${s} coords = getOutputCoords();
setOutput(getX(${i}));
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}
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`}};function PG(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:c,ellipsisMask:u,newAxisMask:h,shrinkAxisMask:p}=r,{nonStrided:d,$begin:f,$strides:m,size:A,newShape:y,outShape:g}=nn.sliceInfo(a.shape,s,i,o,l,c,u,h,p),_=ye({inputs:{x:a},backend:n,attrs:{shape:y}}),x;if(d){let b=ic({inputs:{x:_},backend:n,attrs:{begin:f,size:A}});x=ye({inputs:{x:b},backend:n,attrs:{shape:g}}),n.disposeIntermediateTensorInfo(b)}else if(g.some(b=>b===0))x=n.makeTensorInfo(g,a.dtype,[]);else if(n.shouldExecuteOnCPU([_])){let b=n.texData.get(_.dataId).values,N=Pe(_.shape,_.dtype,b),T=Pz(g,N,m,f);x=n.makeTensorInfo(g,_.dtype,T.values)}else{let b=new zG(f,m,g);x=n.runWebGLProgram(b,[_],_.dtype)}let w=ye({inputs:{x},backend:n,attrs:{shape:g}});return n.disposeIntermediateTensorInfo(_),n.disposeIntermediateTensorInfo(x),w}var LG={kernelName:Ro,backendName:"webgl",kernelFunc:PG},WG="return tan(x);",BG=Ke({opSnippet:WG}),VG={kernelName:Fo,backendName:"webgl",kernelFunc:BG},UG=`
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float e2x = exp(-2.0 * abs(x));
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
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`,jG=Ke({opSnippet:UG}),GG={kernelName:Ds,backendName:"webgl",kernelFunc:jG},qG=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[s]*t[s];this.outputShape=n,this.rank=n.length;let r=ut(this.rank),a=HG(e);this.userCode=`
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void main() {
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${r} resRC = getOutputCoords();
setOutput(getA(${a}));
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}
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`}};function HG(e){let t=e.length;if(t>5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[];for(let a=0;a<e.length;a++)r.push(`imod(${n[a]}, ${e[a]})`);return r.join()}function H_(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{reps:s}=r;if(a.dtype==="string"){let o=n.readSync(a.dataId).map(u=>k.decodeString(u)),l=Pe(a.shape,a.dtype,o),c=Wz(l,s);return n.makeTensorInfo(c.shape,c.dtype,c.values)}let i=new qG(a.shape,s);return n.runWebGLProgram(i,[a],a.dtype)}var XG={kernelName:fa,backendName:"webgl",kernelFunc:H_};function KG(e){let{inputs:t,backend:n,attrs:r}=e,{x:a}=t,{k:s,sorted:i}=r,o=n.readSync(a.dataId),[l,c]=Bz(o,a.shape,a.dtype,s,i);return[n.makeTensorInfo(l.shape,l.dtype,l.values),n.makeTensorInfo(c.shape,c.dtype,c.values)]}var ZG={kernelName:Mo,backendName:"webgl",kernelFunc:KG};function YG(e){let{inputs:t,attrs:n,backend:r}=e,{axis:a}=n,{x:s}=t;hl(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=r.readSync(s.dataId),{outputValues:o,outputShape:l,indices:c}=Vz(i,a,s.shape,s.dtype);return[r.makeTensorInfo(l,s.dtype,o),r.makeTensorInfo([c.length],"int32",c)]}var JG={kernelName:Ph,backendName:"webgl",kernelFunc:YG};function QG(e){let{inputs:t,backend:n,attrs:r}=e,{value:a}=t,{axis:s}=r;s<0&&(s+=a.shape.length);let i=a,o=i.shape.length,l=a.shape[s],c=new Array(o-1),u=0;for(let m=0;m<o;m++)m!==s&&(c[u++]=i.shape[m]);let h=[],p=new Array(o).fill(0),d=i.shape.slice();d[s]=1;let f=new Array(l);for(let m=0;m<f.length;m++){p[s]=m;let A=ic({inputs:{x:i},backend:n,attrs:{begin:p,size:d}}),y=ye({inputs:{x:A},backend:n,attrs:{shape:c}});f[m]=y,h.push(A)}return h.forEach(m=>n.disposeIntermediateTensorInfo(m)),f}var eH={kernelName:Oo,backendName:"webgl",kernelFunc:QG},tH=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,r=e.batchSize,a=e.inSize,s=e.numSegments,i=s*Math.ceil(a/n);this.outputShape=[r,i];let o="0.0",l="sumValue",c=Math.floor(n/4)*4,u=n%4,h=`
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sumValue += dot(values, segFilter);
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`,p="";a%n>0&&(p=`
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if (inIdx < 0 || inIdx >= ${a}) {
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return initializationValue;
}
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`);let d="";a%n>0&&(d=`
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if (inIdx < 0 || inIdx >= ${a}) {
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return -1.0;
}
`),this.userCode=`
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const float initializationValue = ${o};
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float getValue(int batch, int inIdx) {
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${p}
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return getX(batch, inIdx);
}
float getSegmentIdAtIndex(int inIdx) {
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${d}
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return getSegmentIds(inIdx);
}
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = int(floor(float(outIdx) / float(
2021-01-18 14:22:51 +01:00
${s})) * float(${n}));
int currentSeg = int(mod(float(outIdx), float(${s})));
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float sumValue = 0.0;
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for (int i = 0; i < ${c}; i += 4) {
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int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0
);
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${h}
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}
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int inIdx = inOffset + ${c};
if (${u===1}) {
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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
);
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${h}
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} else if (${u===2}) {
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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
);
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${h}
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} else if (${u===3}) {
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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
);
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${h}
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}
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setOutput(${l});
}
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`}};function nH(e){let{inputs:t,backend:n,attrs:r}=e,{x:a,segmentIds:s}=t,{numSegments:i}=r,o=a.shape.length,l=[],c=0,u=C.getAxesPermutation([c],o),h=a;u!=null&&(h=fn({inputs:{x:a},backend:n,attrs:{perm:u}}),l.push(h),c=C.getInnerMostAxes(1,o)[0]);let p=C.segment_util.computeOutShape(h.shape,c,i),d=k.sizeFromShape([h.shape[c]]),f=ye({inputs:{x:h},backend:n,attrs:{shape:[-1,d]}});l.push(f);let m=jh(a.dtype),A=(x,w,b,N,T)=>{let E=x.shape[0],M=x.shape[1],$=C.segment_util.segOpComputeOptimalWindowSize(M,T),P={windowSize:$,inSize:M,batchSize:E,numSegments:T},V=new tH(P,w),H=n.compileAndRun(V,[x,b],N);if(l.push(H),H.shape[1]===T)return H;let U=U_({backend:n,attrs:{start:0,stop:T,step:1,dtype:"float32"}}),K=H_({inputs:{x:U},backend:n,attrs:{reps:[M/$]}});return l.push(U),l.push(K),A(H,w,K,N,T)},y=A(f,"unsortedSegmentSum",s,m,i),g=ye({inputs:{x:y},backend:n,attrs:{shape:p}}),_=g;if(u!=null){l.push(g);let x=C.getUndoAxesPermutation(u);_=fn({inputs:{x:_},backend:n,attrs:{perm:x}})}return l.forEach(x=>n.disposeIntermediateTensorInfo(x)),_}var rH={kernelName:_u,backendName:"webgl",kernelFunc:nH},aH=[ZV,QV,PP,WP,UP,HP,XP,YP,QP,tL,sL,oL,cL,pL,wL,AL,vL,SL,IL,RL,ML,$L,LL,HL,XL,eW,nW,iW,uW,xP,pW,vW,IW,yW,EW,RW,SW,OW,zW,WW,VW,jW,qW,QW,tB,KW,aB,oB,hB,mB,xB,bB,vB,kB,NB,TB,CB,FB,OB,PB,VB,jB,HB,KB,QB,rV,oV,gP,uV,dW,dV,mV,gV,_P,bV,NV,TV,$V,FV,LV,VV,HV,tU,uU,oU,pU,mU,yU,sU,xU,_U,IU,EU,MU,BU,NP,UU,HU,KU,JU,ZL,tj,rj,sj,lj,dj,vP,fj,mj,YL,zU,gj,Nj,bj,TP,Cj,Mj,Dj,Lj,Uj,Gj,Xj,Yj,Qj,nG,sG,lG,hG,fG,yG,jL,LU,wG,bG,kG,NG,EG,FG,OG,DG,LG,PU,$P,VG,GG,XG,ZG,DP,JG,eH,rH,nj];for(let e of aH)Bs(e);var En;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(En||(En={}));var lc;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu"})(lc||(lc={}));var q_;function sH(e){q_=e.wasm.cwrap(Ps,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function iH(e){let{inputs:t,backend:n,attrs:r}=e,{a,b:s,bias:i,preluActivationWeights:o}=t;if(a.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:c,activation:u,leakyreluAlpha:h}=r,p=n.dataIdMap.get(a.dataId).id,d=n.dataIdMap.get(s.dataId).id,f=0;if(i!=null){let T=n.dataIdMap.get(i.dataId);if(T.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${T.shape.length}.`);f=T.id}let m=o==null?0:n.dataIdMap.get(o.dataId).id,A=lc[u];if(A==null)throw new Error(`${u} activation not yet supported for FusedConv2D in the wasm backend.`);let y=l?a.shape[2]:a.shape[1],g=c?s.shape[1]:s.shape[2],_=a.shape[0],x=n.makeOutput([_,y,g],a.dtype),w=n.dataIdMap.get(x.dataId).id,b=new Uint8Array(new Int32Array(a.shape).buffer),N=new Uint8Array(new Int32Array(s.shape).buffer);return q_(p,b,a.shape.length,d,N,s.shape.length,l,c,A,f,m,h||0,w),x}var oH={kernelName:Ps,backendName:"wasm",setupFunc:sH,kernelFunc:iH};function Cn(e){let t;function n(a){t=a.wasm.cwrap(e,null,["number","number"])}function r(a){let{backend:s,inputs:{x:i}}=a,o=s.dataIdMap.get(i.dataId).id,l=s.makeOutput(i.shape,i.dtype),c=s.dataIdMap.get(l.dataId).id;return k.sizeFromShape(l.shape)===0||t(o,c),l}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:r}}var lH=Cn($i);function on(e,t,n){let r;function a(i){r=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:c,b:u}=l,h=o.dataIdMap.get(c.dataId).id,p=o.dataIdMap.get(u.dataId).id,d=n!=null?n:c.dtype,f=C.assertAndGetBroadcastShape(c.shape,u.shape),m=o.makeOutput(f,d);if(k.sizeFromShape(f)===0)return m;let A=new Uint8Array(new Int32Array(c.shape).buffer),y=new Uint8Array(new Int32Array(u.shape).buffer),g=o.dataIdMap.get(m.dataId).id,_=()=>r(h,A,c.shape.length,p,y,u.shape.length,En[c.dtype],g);if(t&&c.dtype==="float32")return _(),m;let x=C.getBroadcastDims(c.shape,f),w=C.getBroadcastDims(u.shape,f),b=x
2021-01-18 14:22:51 +01:00
1. The ${r} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
2021-01-20 14:05:30 +01:00
2. The custom ${r} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=e;if(s.className==null||s.config==null)throw new B(`${r}: Improper config format: ${JSON.stringify(s)}.
2021-02-08 17:39:09 +01:00
'className' and 'config' must set.`);let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in nr?[o,l]=nr.className:i in t&&([o,l]=t[i]),o==null)throw new B(`Unknown ${r}: ${i}. This may be due to one of the following reasons:
2021-01-18 14:22:51 +01:00
1. The ${r} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
2021-02-08 18:47:38 +01:00
2. The custom ${r} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let c={};for(let d of Object.keys(nr))c[d]=nr[d];for(let d of Object.keys(n))c[d]=n[d];let u=s.config;u.customObjects=c;let h=Object.assign({},nr);for(let d of Object.keys(n))nr[d]=n[d];Lm(s.config);let p=l(o,s.config,n,a);return nr=Object.assign({},h),p}else{let c=Object.assign({},nr);for(let h of Object.keys(n))nr[h]=n[h];let u=new o(s.config);return nr=Object.assign({},c),u}}}function rJ(e,t){return e<t?-1:e>t?1:0}function hp(e,t){return-1*rJ(e,t)}function Ea(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function aJ(e){if(e==null)throw new B(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function ci(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new B(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function Wm(e,t,n=0,r=Infinity){return Or(n>=0),Or(r>=n),Array.isArray(e)&&e.length>=n&&e.length<=r&&e.every(a=>typeof a===t)}function Vt(e,t){Array.isArray(e)?(k.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,r)=>Vt(n,`element ${r+1} of ${t}`))):k.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${Qb(e)}.`)}function Qb(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>Qb(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function sJ(e,t){let n=k.now(),r;return(...a)=>{let s=k.now();return s-n<t||(n=s,r=e(...a)),r}}function e3(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}function Bm(e,t){return W(()=>qt(Ie(L(e,e),t,!0)))}var pc=class extends re.Serializable{getConfig(){return{}}},Vm=class extends pc{constructor(e){super();this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return W(()=>{let t=Bm(e,this.axis),n=hn(t,0,this.maxValue);return L(e,be(n,se(Ot(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};Vm.className="MaxNorm";re.registerClass(Vm);var Um=class extends pc{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return W(()=>be(e,se(Ot(),Bm(e,this.axis))))}getConfig(){return{axis:this.axis}}};Um.className="UnitNorm";re.registerClass(Um);var jm=class extends pc{apply(e){return Cr(e)}};jm.className="NonNeg";re.registerClass(jm);var Gm=class extends pc{constructor(e){super();this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return W(()=>{let t=Bm(e,this.axis),n=se(L(this.rate,hn(t,this.minValue,this.maxValue)),L(1-this.rate,t));return L(e,be(n,se(Ot(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};Gm.className="MinMaxNorm";re.registerClass(Gm);var t3={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function $t(e){return Pm(e)}function n3(e,t={}){return dc(e,re.SerializationMap.getMap().classNameMap,t,"constraint")}function Dt(e){if(e==null)return null;if(typeof e=="string"){let t={className:e in t3?t3[e]:e,config:{}};return n3(t)}else return e instanceof pc?e:n3(e)}function JY(e){return new Vm(e)}function QY(e){return new Um(e)}function eJ(){return new jm}function tJ(e){return new Gm(e)}var r3={};$e(r3,{constant:()=>lJ,glorotNormal:()=>mJ,glorotUniform:()=>fJ,heNormal:()=>AJ,heUniform:()=>yJ,identity:()=>dJ,leCunNormal:()=>gJ,leCunUniform:()=>xJ,ones:()=>oJ,orthogonal:()=>wJ,randomNormal:()=>cJ,randomUniform:()=>uJ,truncatedNormal:()=>hJ,varianceScaling:()=>pJ,zeros:()=>iJ});var _J=["channelsFirst","channelsLast"],bJ=["nearest","bilinear"],vJ=["valid","same","causal"],kJ=["max","avg"],IJ=["sum","mul","concat","ave"],bl=new Map;function kt(e){ci(_J,"DataFormat",e)}function
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because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),sr(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Lt(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,r)=>this.write(n,t[r]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let r=0;r<this.size();r++)e.push(r)}if(e.length===0)return ur([],[0].concat(this.elementShape));let n=this.readMany(e);return sr(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),Nn(n,0)}concat(e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but concat requested dtype ${e}`);if(this.size()===0)return ur([],[0].concat(this.elementShape));let t=[];for(let r=0;r<this.size();r++)t.push(r);let n=this.readMany(t);return sr(this.elementShape,n[0].shape,`TensorArray shape mismatch: tensor array shape (${this.elementShape}) vs first tensor shape (${n[0].shape})`),rt(n,0)}scatter(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);if(e.length!==t.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${e.length} vs. ${t.shape[0]}`);let n=Math.max(...e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,er(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,r=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to
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tensor.shape[0], but sum of lengths is
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${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let a=n===0?0:t.size/n,s=[];W(()=>{t=q(t,[1,n,a]);for(let o=0;o<e.length;++o){let l=o===0?0:r[o-1],c=[0,l,0],u=[1,e[o],a];s[o]=q(Ee(t,c,u),this.elementShape)}return s});let i=[];for(let o=0;o<e.length;o++)i[o]=o;this.writeMany(i,s)}},Cc=class{constructor(e,t,n,r=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(a=>{if(n!==a.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${a.dtype}`);sr(t,a.shape,"TensorList shape mismatch: "),Lt(a)}),this.idTensor=ke(0),this.maxNumElements=r,Lt(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Cc([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);return sr(e,this.elementShape,"TensorList shape mismatch: "),W(()=>{let r=this.tensors.map(a=>q(a,e));return Nn(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=this.tensors.pop();return sr(n.shape,e,"TensorList shape mismatch: "),q(n,e)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(sr(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Lt(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);this.tensors.length=e}getItem(e,t,n){if(n!==this.elementDtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${this.elementDtype}`);if(e<0||e>this.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);return sr(this.tensors[e].shape,t,"TensorList shape mismatch: "),this.tensors[e]}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);sr(this.elementShape,t.shape,"TensorList shape mismatch: "),Lt(t),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);return sr(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size()),e.length===0?ur([],[0].concat(this.elementShape)):W(()=>{let r=e.map(a=>q(this.tensors[a],n));return Nn(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);return sr(this.elementShape,t,"TensorList shape mismatch: "),this.size()===0?ur([],[0].concat(this.elementShape)):W(()=>{let n=this.tensors.map(r=>q(r,t));return rt(n,0)})}};function one(e,t,n){let r=e.dtype;if(e.shape.length<1)throw new Error(`Tensor must be at least a vector, but saw shape: ${e.shape}`);if(e.dtype!==n)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${n}`);let a=e.shape.slice(1);sr(a,
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tensor.shape[0], but sum of lengths is
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${r}, and tensor's shape is: ${e.shape}`);let s=r===0?0:e.size/r,i=W(()=>{let l=[];e=q(e,[1,r,s]);for(let c=0;c<t.length;++c){let u=c===0?0:a[c-1],h=[0,u,0],p=[1,t[c],s];l[c]=q(Ee(e,h,p),n)}return e.dispose(),l}),o=new Cc([],n,e.dtype,t.length);for(let l=0;l<i.length;l++)o.setItem(l,i[l]);return o}var hne=async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{let r=I("thenBranch",e,t,n),a=I("elseBranch",e,t,n),s=I("cond",e,t,n),i=I("args",e,t,n);return(await s.data())[0]?n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let r=I("body",e,t,n),a=I("cond",e,t,n),s=I("args",e,t,n),i=await n.functionMap[a].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(u=>u.id),l=await i[0].data();i.forEach(u=>{!u.kept&&o.indexOf(u.id)===-1&&u.dispose()});let c=s;for(;l[0];){let u=c;c=await n.functionMap[r].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);let h=c.map(d=>d.id);u.forEach(d=>{!d.kept&&o.indexOf(d.id)===-1&&h.indexOf(d.id)===-1&&d.dispose()});let p=await n.functionMap[a].executeFunctionAsync(c,n.tensorArrayMap,n.tensorListMap);l=await p[0].data(),p.forEach(d=>{!d.kept&&o.indexOf(d.id)===-1&&h.indexOf(d.id)===-1&&d.dispose()})}return c}case"LoopCond":{let r=I("pred",e,t,n);return[aa(r)]}case"Switch":{let r=I("pred",e,t,n),a=I("data",e,t,n);return a.kept||(a=aa(a)),(await r.data())[0]?[void 0,a]:[a,void 0]}case"Merge":{let r=e.inputNames.find(a=>yn(a,t,n)!==void 0);if(r){let a=yn(r,t,n);return[aa(a)]}return}case"Enter":{let r=I("frameName",e,t,n),a=I("tensor",e,t,n);return n.enterFrame(r),[aa(a)]}case"Exit":{let r=I("tensor",e,t,n);return n.exitFrame(),[aa(r)]}case"NextIteration":{let r=I("tensor",e,t,n);return n.nextIteration(),[aa(r)]}case"TensorArrayV3":{let r=I("size",e,t,n),a=I("dtype",e,t,n),s=I("elementShape",e,t,n),i=I("dynamicSize",e,t,n),o=I("clearAfterRead",e,t,n),l=I("identicalElementShapes",e,t,n),c=I("name",e,t,n),u=new ine(c,a,r,s,l,i,o);return n.addTensorArray(u),[u.idTensor,ke(1)]}case"TensorArrayWriteV3":{let r=I("tensorArrayId",e,t,n),a=I("index",e,t,n),s=I("tensor",e,t,n),i=n.getTensorArray(r.id);return i.write(a,s),[i.idTensor]}case"TensorArrayReadV3":{let r=I("tensorArrayId",e,t,n),a=I("index",e,t,n);return[n.getTensorArray(r.id).read(a)]}case"TensorArrayGatherV3":{let r=I("tensorArrayId",e,t,n),a=I("indices",e,t,n),s=I("dtype",e,t,n);return[n.getTensorArray(r.id).gather(a,s)]}case"TensorArrayScatterV3":{let r=I("tensorArrayId",e,t,n),a=I("indices",e,t,n),s=I("tensor",e,t,n),i=n.getTensorArray(r.id);return i.scatter(a,s),[i.idTensor]}case"TensorArrayConcatV3":{let r=I("tensorArrayId",e,t,n),a=n.getTensorArray(r.id),s=I("dtype",e,t,n);return[a.concat(s)]}case"TensorArraySplitV3":{let r=I("tensorArrayId",e,t,n),a=I("tensor",e,t,n),s=I("lengths",e,t,n),i=n.getTensorArray(r.id);return i.split(s,a),[i.idTensor]}case"TensorArraySizeV3":{let r=I("tensorArrayId",e,t,n),a=n.getTensorArray(r.id);return[ke(a.size(),"int32")]}case"TensorArrayCloseV3":{let r=I("tensorArrayId",e,t,n),a=n.getTensorArray(r.id);return a.clearAndClose(),[a.idTensor]}case"TensorListSetItem":{let r=I("tensorListId",e,t,n),a=I("index",e,t,n),s=I("tensor",e,t,n),i=n.getTensorList(r.id);return i.setItem(a,s),[i.idTensor]}case"TensorListGetItem":{let r=I("tensorListId",e,t,n),a=I("index",e,t,n),s=I("elementShape",e,t,n),i=I("elementDType",e,t,n);return[n.getTensorList(r.id).getItem(a,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let r=I("indices",e,t,n),a=I("tensor",e,t,n),s=I("elementShape",e,t,n),i=I("numElements",e,t,n),o=une(a,r,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let r=I("elementShape",e,t,n),a=I("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=I(s,e,t,n),o=lne(r,a,i);return n.addTensorList(o),[o.idTensor]}case"TensorListGather":{let r=I("tensorListId",e,t,n),a=I("indices",e,t,n),s=I("elementShape",e,t,n),i=I("elementDType",e,t,n);return[n.getTensorList(r.id).gather(a,i,s)]
${e}`);let r;return this.size===Infinity||this.size==null?r=this.size:t?r=Math.ceil(this.size/e):r=Math.floor(this.size/e),Mn(async()=>(await n.iterator()).columnMajorBatch(e,t,pre),r)}concatenate(e){let t=this,n;return this.size===Infinity||e.size===Infinity?n=Infinity:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,Mn(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===Infinity?n=Infinity:n=null,Mn(async()=>(await t.iterator()).filter(r=>W(()=>e(r))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return Mn(async()=>(await t.iterator()).map(n=>W(()=>e(n))),this.size)}mapAsync(e){let t=this;return Mn(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return Mn(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=Infinity:n=null,Mn(async()=>{let r=zy(async()=>({value:await t.iterator(),done:!1}));return tre(r.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size<e||e===void 0||e<0)?n=0:n=null,Mn(async()=>(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let r=this,a=Gne.alea(t||k.now().toString());return Mn(async()=>{let s=a.int32();return n&&(s+=a.int32()),(await r.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,Mn(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};El.MAX_BUFFER_SIZE=1e4;function Mn(e,t=null){return new class extends El{constructor(){super(...arguments);this.size=t}async iterator(){return e()}}}function zne(e){return Mn(async()=>yv(e),e.length)}function Pne(e){if(!Cl(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n<e.length;n++)t=t==null?e[n].size:Math.min(t,e[n].size);else if(e instanceof Object)for(let n in e)t=t==null?e[n].size:Math.min(t,e[n].size);return Mn(async()=>{let n=await mv(e,r=>{if(r instanceof El)return{value:r.iterator(),recurse:!1};if(Cl(r))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return rre(n,Da.SHORTEST)},t)}function pre(e){if(e===null)return null;let t=e[0];return Zne(t)?{value:fre(e),recurse:!1}:{value:null,recurse:!0}}function fre(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Xe?Nn(e):ur(e)}var uv=class extends El{constructor(e){super();this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(`
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2021-02-08 17:39:09 +01:00
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2020-12-11 16:11:49 +01:00
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2Q==`;var b6="0.11.5";var dt=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function Ol(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,r)=>(Object.keys(r||{}).forEach(a=>{let s=n[a],i=r[a];Array.isArray(s)&&Array.isArray(i)?n[a]=s.concat(...i):t(s)&&t(i)?n[a]=Ol(s,i):n[a]=i}),n),{})}var k6=class{constructor(t={}){this.tf=rh,this.version=b6,this.config=Ol(_6,t),this.fx=null,this.state="idle",this.numTensors=0,this.analyzeMemoryLeaks=!1,this.checkSanity=!1,this.firstRun=!0,this.perf={},this.models={facemesh:null,posenet:null,handpose:null,iris:null,age:null,gender:null,emotion:null},this.facemesh=v6,this.age=e2,this.gender=r2,this.emotion=u2,this.body=S2,this.hand=O2}profile(){return this.config.profile?Yy:{}}analyze(...t){if(!this.analyzeMemoryLeaks)return;let n=Pn().state.numTensors,r=this.numTensors;this.numTensors=n;let a=n-r;a!==0&&Te(...t,a)}sanity(t){if(!this.checkSanity)return null;if(!t)return"input is not defined";if(tn.flags.IS_NODE&&!(t instanceof Xe))return"input must be a tensor";try{Yh()}catch(n){return"backend not loaded"}return null}simmilarity(t,n){return this.config.face.embedding.enabled?Uv(t,n):0}async load(t=null){this.state="load";let n=dt();t&&(this.config=Ol(this.config,t)),this.firstRun&&(Te(`version: ${this.version} TensorFlow/JS version: ${n5}`),await this.checkBackend(!0),tn.flags.IS_BROWSER&&(Te("configuration:",this.config),Te("tf flags:",tn.flags)));let r=this.config.face.detector.modelPath.includes("faceboxes")?Jy:v6;this.config.async?[this.models.face,this.models.age,this.models.gender,this.models.emotion,this.models.embedding,this.models.posenet,this.models.handpose]=await Promise.all([this.models.face||(this.config.face.enabled?r.load(this.config):null),this.models.age||(this.config.face.enabled&&this.config.face.age.enabled?t2(this.config):null),this.models.gender||(this.config.face.enabled&&this.config.face.gender.enabled?o2(this.config):null),this.models.emotion||(this.config.face.enabled&&this.config.face.emotion.enabled?d2(this.config):null),this.models.embedding||(this.config.face.enabled&&this.config.face.embedding.enabled?f2(this.config):null),this.models.posenet||(this.config.body.enabled?E2(this.config):null),this.models.handpose||(this.config.hand.enabled?z2(this.config):null)]):(this.config.face.enabled&&!this.models.face&&(this.models.face=await r.load(this.config)),this.config.face.enabled&&this.config.face.age.enabled&&!this.models.age&&(this.models.age=await t2(this.config)),this.config.face.enabled&&this.config.face.gender.enabled&&!this.models.gender&&(this.models.gender=await o2(this.config)),this.config.face.enabled&&this.config.face.emotion.enabled&&!this.models.emotion&&(this.models.emotion=await d2(this.config)),this.config.face.enabled&&this.config.face.embedding.enabled&&!this.models.embedding&&(this.models.embedding=await f2(this.config)),this.config.body.enabled&&!this.models.posenet&&(this.models.posenet=await E2(this.config)),this.config.hand.enabled&&!this.models.handpose&&(this.models.handpose=await z2(this.config))),this.firstRun&&(Te("tf engine state:",Pn().state.numBytes,"bytes",Pn().state.numTensors,"tensors"),this.firstRun=!1);let a=Math.trunc(dt()-n);a>(this.perf.load||0)&&(this.perf.load=a)}async checkBackend(t=!1){if(this.config.backend&&this.config.backend!==""&&t||Yh()!==this.config.backend){let n=dt();this.state="backend",Te("setting backend:",this.config.backend),this.config.backend==="wasm"&&(Te("settings wasm path:",this.config.wasmPath),Wb(this.config.wasmPath),await Q().getAsync("WASM_HAS_SIMD_SUPPORT")||Te("warning: wasm simd support is not enabled")),this.config.backend==="humangl"&&Ev();try{await a5(this.config.backend)}catch(r){Te("error: cannot set backend:",this.config.backend,r)}if(r5(),Yh()==="webgl"){this.config.deallocate&&(Te("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",this.config.deallocate),tn.set("WEBGL_DELETE_TEXTURE_THRESHOLD",this.config.deallocate?0:-1)),tn.set("WEBGL_FORCE_F16_TEXTURES",!0),tn.set("WEBGL_PACK_DEPTHWISECONV",!0);let r=awai
2020-11-08 18:32:31 +01:00
/**
* @license
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* Copyright 2017 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
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* Copyright 2018 Google LLC
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*
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* 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.
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* =============================================================================
*/
/**
* @license
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* Copyright 2018 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
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*
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* =============================================================================
*/
/**
* @license
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* Copyright 2018 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
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* Copyright 2019 Google LLC
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*
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* 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.
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* =============================================================================
*/
/**
* @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.
*
* =============================================================================
*/
/**
* @license
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* Copyright 2019 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
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* Copyright 2020 Google Inc. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
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* Copyright 2020 Google LLC
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*
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* 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.
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* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the License);
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* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an AS IS BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
2021-01-11 15:02:02 +01:00
/**
* @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.
* =============================================================================
*/
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/** @license See the LICENSE file. */
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