human/dist/human.js

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2021-03-10 00:32:35 +01:00
2021-06-05 23:51:46 +02:00
/*
Human library
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
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var Human=(()=>{var Ky=Object.defineProperty;var pI=e=>Ky(e,"__esModule",{value:!0});var bm=e=>{if(typeof require!="undefined")return require(e);throw new Error('Dynamic require of "'+e+'" is not supported')};var vm=(e,t)=>{pI(e);for(var n in t)Ky(e,n,{get:t[n],enumerable:!0})};var Zy=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var hn=(e,t,n)=>(Zy(e,t,"read from private field"),n?n.call(e):t.get(e)),ts=(e,t,n)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,n)},Ss=(e,t,n,s)=>(Zy(e,t,"write to private field"),s?s.call(e,n):t.set(e,n),n);var Hie={};vm(Hie,{Human:()=>I8,default:()=>I8});function ft(e,t){let n=e.endsWith("/")?"":"/",r=t.startsWith(".")||t.startsWith("/")||t.startsWith("http:")||t.startsWith("https:")||t.startsWith("file:")?`${t}`:`${e}${n}${t}`;if(!r.toLocaleLowerCase().includes(".json"))throw new Error(`Human: ModelPath Error: ${r} Expecting JSON file`);return r}function ue(...e){let t=new Date,n=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(n,"Human:",...e)}var Ke=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function pn(...e){let t=n=>n&&typeof n=="object";return e.reduce((n,s)=>(Object.keys(s||{}).forEach(r=>{let a=n[r],o=s[r];Array.isArray(a)&&Array.isArray(o)?n[r]=a.concat(...o):t(a)&&t(o)?n[r]=pn(a,o):n[r]=o}),n),{})}var Yy={backend:"webgl",modelBasePath:"../models/",wasmPath:"../node_modules/@tensorflow/tfjs-backend-wasm/dist/",debug:!0,async:!0,warmup:"full",cacheSensitivity:.75,skipFrame:!1,filter:{enabled:!0,width:0,height:0,flip:!1,return:!0,brightness:0,contrast:0,sharpness:0,blur:0,saturation:0,hue:0,negative:!1,sepia:!1,vintage:!1,kodachrome:!1,technicolor:!1,polaroid:!1,pixelate:0},gesture:{enabled:!0},face:{enabled:!0,detector:{modelPath:"blazeface.json",rotation:!0,maxDetected:15,skipFrames:15,minConfidence:.2,iouThreshold:.1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json"},iris:{enabled:!0,modelPath:"iris.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:11,minConfidence:.1},emotion:{enabled:!0,minConfidence:.1,skipFrames:17,modelPath:"emotion.json"}},body:{enabled:!0,modelPath:"movenet-lightning.json",maxDetected:1,minConfidence:.2,skipFrames:1},hand:{enabled:!0,rotation:!0,skipFrames:18,minConfidence:.1,iouThreshold:.1,maxDetected:2,landmarks:!0,detector:{modelPath:"handdetect.json"},skeleton:{modelPath:"handskeleton.json"}},object:{enabled:!1,modelPath:"mb3-centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:19},segmentation:{enabled:!1,modelPath:"selfie.json"}};function Jy(){let e="",t="";if(typeof navigator!="undefined"){let n=navigator.userAgent.match(/\(([^()]+)\)/g);if(n&&n[0]){let s=n[0].match(/\(([^()]+)\)/g);e=s&&s[0]?s[0].replace(/\(|\)/g,""):"",t=navigator.userAgent.replace(n[0],""),e[1]&&(t=t.replace(n[1],"")),t=t.replace(/ /g," ")}}else typeof process!="undefined"&&(e=`${process.platform} ${process.arch}`,t=`NodeJS ${process.version}`);return{platform:e,agent:t}}var Yc={};vm(Yc,{Abs:()=>di,Acos:()=>hi,Acosh:()=>pi,AdadeltaOptimizer:()=>ap,AdagradOptimizer:()=>op,AdamOptimizer:()=>ip,AdamaxOptimizer:()=>lp,Add:()=>Dr,AddN:()=>ga,All:()=>fi,Any:()=>mi,ArgMax:()=>ya,ArgMin:()=>Cu,Asin:()=>Ai,Asinh:()=>gi,Atan:()=>yi,Atan2:()=>bi,Atanh:()=>xi,AvgPool:()=>xa,AvgPool3D:()=>Tu,AvgPool3DGrad:()=>Ld,AvgPoolGrad:()=>zd,BackendWasm:()=>bk,BatchMatMul:()=>ba,BatchToSpaceND:()=>vi,Bincount:()=>Bd,BroadcastTo:()=>A5,Callback:()=>bv,CallbackList:()=>h3,Cast:()=>va,Ceil:()=>wa,ClipByValue:()=>Or,Complex:()=>Wd,ComplexAbs:()=>Nu,Concat:()=>wi,Conv2D:()=>ka,Conv2DBackpropFilter:()=>Vd,Conv2DBackpropInput:()=>Ia,Conv3D:()=>Eu,Conv3DBackpropFilterV2:()=>Ud,Conv3DBackpropInputV2:()=>Hd,Cos:()=>Sa,Cosh:()=>Ca,CropAndResize:()=>ki,Cumsum:()=>Ta,CustomCallback:()=>f3,DataStorage:()=>Fd,DenseBincount:()=>Gd,DepthToSpace:()=>Ii,DepthwiseConv2dNative:()
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Expected: ${a}.`)}}function iC(e,t){e().then(()=>t.fail(),()=>t())}function lC(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return $r(e)||$r(e[0])||$r(t)||$r(t[0])?nA(e,n,(s,r)=>s==r):nA(e,t,(s,r)=>sA(s,r,0))}function uC(e,t,n){if(n==null&&(n=tA()),!sA(e,t,n))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`)}function sA(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function cC(e,t,n){for(let s=0;s<e.length;s++)if(e[s]<t||e[s]>n)throw new Error(`Value out of range:${e[s]} low: ${t}, high: ${n}`)}function dC(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}function fx(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?fx(n):e[t]=Uu(n)}return e}var hC="3.8.0";function pC(){ee().set("PROD",!0)}function fC(){ee().set("DEBUG",!0)}function mC(){ee().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function rA(e){ee().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}LS(rA);function AC(){L.disposeVariables()}function Ar(){return L}function _h(){return L.memory()}function gC(e){return L.profile(e)}function H(e,t){return L.tidy(e,t)}function K(e){Mm(e).forEach(n=>n.dispose())}function Kt(e){return L.keep(e)}function yC(e){return L.time(e)}function xC(e){return L.setBackend(e)}function bC(){return L.ready()}function vC(){return L.backendName}function wC(e){L.removeBackend(e)}function aA(e){return L.findBackend(e)}function kC(e){return L.findBackendFactory(e)}function bl(e,t,n=1){return L.registerBackend(e,t,n)}function mx(){return L.backend}function IC(e,t){ee().setPlatform(e,t)}function SC(e,t){let n=D(e,"a","add"),s=D(t,"b","add");[n,s]=It(n,s);let r={a:n,b:s};return L.runKernel(Dr,r)}var ae=V({add_:SC});function CC(e,t){let n=D(e,"a","floorDiv"),s=D(t,"b","floorDiv");[n,s]=It(n,s);let r={a:n,b:s};return L.runKernel($a,r)}var oA=V({floorDiv_:CC});function TC(e,t){let n=D(e,"a","div"),s=D(t,"b","div");if([n,s]=It(n,s),n.dtype==="int32"&&s.dtype==="int32")return oA(n,s);let r={a:n,b:s},a={};return L.runKernel(Ea,r,a)}var de=V({div_:TC});function NC(e,t){let n=D(e,"a","mul"),s=D(t,"b","mul");[n,s]=It(n,s);let r={a:n,b:s};return L.runKernel(Ga,r)}var z=V({mul_:NC});function EC(e){let t=D(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return L.runKernel(Nu,n)}else{let n={x:t};return L.runKernel(di,n)}}var Wt=V({abs_:EC});function RC(e){let n={x:D(e,"x","acos")};return L.runKernel(hi,n)}var Ax=V({acos_:RC});function _C(e){let n={x:D(e,"x","acosh")};return L.runKernel(pi,n)}var gx=V({acosh_:_C});function $C(e){M(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),M(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,a)=>D(r,`tensors${a}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!fr(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let s=t;return L.runKernel(ga,s)}var $h=V({addN_:$C});function FC(e,t=null,n=!1){let r={x:D(e,"x","all","bool")},a={axis:t,keepDims:n};return L.runKernel(fi,r,a)}var iA=V({all_:FC});function DC(e,t=null,n=!1){let r={x:D(e,"x","any","bool")},a={axis:t,keepDims:n};return L.runKernel(mi,r,a)}var Fh=V({any_:DC});function OC(e,t=0){let s={x:D(e,"x","argMax")},r={axis:t};return L.runKernel(ya,s,r)}var Xs=V({argMax_:OC});function PC(e,t=0){let s={x:D(e,"x","argMin")},r={axis:t};return L.runKernel(Cu,s,r)}var yx=V({argMin_:PC});function MC(e){let n={x:D(e,"x","asin")};return L.runKernel(Ai,n)}var xx=V({asin_:MC});function zC(e){let n={x:D(e,"x","asinh")};return L.runKernel(gi,n)}var bx=V({asinh_:zC});function LC(e){let n={x:D(e,"x","atan")};return L.runKernel(yi,n)}var vx=V({atan_:LC});function BC(e,t){let n=D(e,"a","atan2"),s=D(t,"b","atan2");[n,s]=It(n,s);let r={a:n,b:s};return L.runKernel(bi,r)}var wx=V({atan2_:BC});function WC(e){let n=
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${r} and ${t} for depthToSpace with input shape
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${s.shape}`),M(a*t>=0,()=>`Negative dimension size caused by overflow when multiplying
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${a} and ${t} for depthToSpace with input shape
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2021-08-14 17:17:51 +02:00
${r.shape}`);if(a.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${a.shape}`);if(o.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${o.shape}`);if(i.rank!==0)throw new Error(`Default value should be a scalar but received shape ${i.shape}`);let l={indices:r,values:a,denseShape:o,defaultValue:i},u=L.runKernel(dh,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var j_=V({sparseFillEmptyRows_:G_});function q_(e,t,n){let s=D(e,"inputIndices","sparseReshape"),r=D(t,"inputShape","sparseReshape"),a=D(n,"newShape","sparseReshape");if(s.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape
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2021-08-18 00:46:50 +02:00
${a.shape}`);let o={data:s,indices:r,segmentIds:a};return L.runKernel(fh,o)}var J_=V({sparseSegmentSum_:Y_});function Q_(e,t,n,s,r,a,o,i){let l=D(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=D(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:n,nGramWidths:s,leftPad:r,rightPad:a,padWidth:o,preserveShortSequences:i},d={data:l,dataSplits:u},h=L.runKernel(Ah,d,c);return{nGrams:h[0],nGramsSplits:h[1]}}var e$=V({stringNGrams_:Q_});function t$(e,t,n=!0){let s=D(e,"input","stringSplit","string"),r=D(t,"delimiter","stringSplit","string");if(s.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${s.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let a={skipEmpty:n},o={input:s,delimiter:r},i=L.runKernel(gh,o,a);return{indices:i[0],values:i[1],shape:i[2]}}var n$=V({stringSplit_:t$});function s$(e,t){let n=D(e,"input","stringToHashBucketFast","string"),s={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return L.runKernel(yh,r,s)}var r$=V({stringToHashBucketFast_:s$}),a$={fft:Yh,ifft:ic,rfft:Jh,irfft:OA},o$={hammingWindow:PR,hannWindow:xb,frame:bb,stft:BR},_e={flipLeftRight:HR,resizeNearestNeighbor:f_,resizeBilinear:h_,rotateWithOffset:jR,cropAndResize:VR,nonMaxSuppression:XR,nonMaxSuppressionAsync:n_,nonMaxSuppressionWithScore:r_,nonMaxSuppressionWithScoreAsync:o_,nonMaxSuppressionPadded:l_,nonMaxSuppressionPaddedAsync:c_,threshold:g_,transform:x_},Cb={bandPart:v_,gramSchmidt:k_,qr:S_},i$={absoluteDifference:N_,computeWeightedLoss:yr,cosineDistance:R_,hingeLoss:$_,huberLoss:D_,logLoss:P_,meanSquaredError:z_,sigmoidCrossEntropy:W_,softmaxCrossEntropy:H_},uc={sparseFillEmptyRows:j_,sparseReshape:X_,sparseSegmentMean:Z_,sparseSegmentSum:J_},rp={stringNGrams:e$,stringSplit:n$,stringToHashBucketFast:r$},xr=class extends dx{minimize(e,t=!1,n){let{value:s,grads:r}=this.computeGradients(e,n);if(n!=null){let a=n.map(o=>({name:o.name,tensor:r[o.name]}));this.applyGradients(a)}else this.applyGradients(r);return K(r),t?s:(s.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return jx(e,t)}dispose(){this.iterations_!=null&&K(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:Ie(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(xr,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var ap=class extends xr{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=L.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,s)=>{let r=L.registeredVariables[n],a=!1;this.accumulatedGrads[s]==null&&(this.accumulatedGrads[s]={originalName:`${n}/accum_grad`,variable:H(()=>qe(r).variable(a))}),this.accumulatedUpdates[s]==null&&(this.accumulatedUpdates[s]={originalName:`${n}/accum_var`,variable:H(()=>qe(r).variable(a))});let o=Array.isArray(e)?e[s].tensor:e[n];if(o==null)return;let i=this.accumulatedGrads[s].variable,l=this.accumulatedUpdates[s].variable;H(()=>{let u=ae(z(i,this.rho),z(lt(o),1-this.rho)),c=z(de(ln(ae(l,this.epsilon)),ln(ae(i,this.epsilon))),o),d=ae(z(l,this.rho),z(lt(c),1-this.rho));i.assign(u),l.assign(d);let h=ae(z(c,-this.learningRate),r);r.assign(h)})}),this.incrementIterations()}dispose(){this.accumulatedUpdates!=null&&(K(t
${a}).`);if(n<s)throw new Error(`batchDims (${s}) must be less than or equal to axis (${n}).`);for(let d=0;d<s;++d)if(e.shape[d]!==t.shape[d])throw new Error(`x.shape[${d}]: ${e.shape[d]} should be equal to indices.shape[${d}]: ${t.shape[d]}.`);let o=e.shape[n],i=[],l=1,u=1,c=1;for(let d=0;d<s;++d)i.push(e.shape[d]),l*=e.shape[d];for(let d=s;d<n;d++)i.push(e.shape[d]),u*=e.shape[d];for(let d=s;d<r;d++)i.push(t.shape[d]);for(let d=n+1;d<a;d++)i.push(e.shape[d]),c*=e.shape[d];return{batchSize:l,sliceSize:c,outerSize:u,dimSize:o,outputShape:i}}function G$(e){try{return e.map(t=>Ih(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function j$(e){return e.map(t=>Uu(t))}var Js={};Pe(Js,{nonMaxSuppressionV3Impl:()=>vb,nonMaxSuppressionV4Impl:()=>wb,nonMaxSuppressionV5Impl:()=>kb,whereImpl:()=>db});var $b={kernelName:di,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,lc(ce(n,"float32"),-1))}}},q$={kernelName:hi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let s=lt(ce(n,"float32")),r=ln(Ae(Ie(1),s));return St(de(e,r))}}}},X$={kernelName:pi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let s=ln(Ae(lt(ce(n,"float32")),1));return de(e,s)}}}},K$={kernelName:Dr,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,s]=t,r=mt(n.shape,s.shape);return{a:()=>{let i=e,l=Vt(n.shape,r);return l.length>0&&(i=ve(i,l)),U(i,n.shape)},b:()=>{let i=e,l=Vt(s.shape,r);return l.length>0&&(i=ve(i,l)),U(i,s.shape)}}}},Z$={kernelName:ga,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((s,r)=>{n[r]=()=>e.clone()}),n}},Y$={kernelName:ya,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},J$={kernelName:Cu,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},Q$={kernelName:Ai,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>de(e,ln(Ae(Ie(1),lt(ce(n,"float32")))))}}},eF={kernelName:gi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let s=ln(ae(Ie(1),lt(ce(n,"float32"))));return de(e,s)}}}},tF={kernelName:bi,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,s]=t,r=mt(n.shape,s.shape);return{a:()=>{let i=ae(lt(n),lt(s)),l=z(e,de(s,i)),u=Vt(n.shape,r);return u.length>0&&(l=ve(l,u)),U(l,n.shape)},b:()=>{let i=ae(lt(n),lt(s)),l=St(z(e,de(n,i))),u=Vt(s.shape,r);return u.length>0&&(l=ve(l,u)),U(l,s.shape)}}}},nF={kernelName:yi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>de(e,ae(lt(ce(n,"float32")),1))}}},sF={kernelName:xi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>de(e,Ae(Ie(1),lt(ce(n,"float32"))))}}};function rF(e,t,n,s,r,a){let o=D(e,"dy","avgPool3dGrad"),i=D(t,"input","avgPool3dGrad"),l=o,u=i,c=!1;i.rank===4&&(c=!0,l=U(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),u=U(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),M(l.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${l.rank}.`),M(u.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${u.rank}.`),a!=null&&M(qt(r),()=>`Error in avgPool3dGrad: pad must be an integer when using, dimRoundingMode ${a} but got pad ${r}.`);let d={dy:l,input:u},h={filterSize:n,strides:s,pad:r,dimRoundingMode:a},p=L.runKernel(Ld,d,h);return c?U(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var aF=V({avgPool3dGrad_:rF}),oF={kernelName:Tu,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[s]=t,{filterSize:r,strides:a,pad:o,dimRoundingMode:i}=n;return{x:()=>aF(e,s,r,a,o,i)}}};function iF(e,t,n,s,r){let a=D(e,"dy","avgPoolGrad"),o=D(t,"input","avgPoolGrad");M(o.rank===a.rank,()=>`Rank of input (${o.rank}) does not match rank of dy (${a.rank})`);let i=o,l=a,u=!1;o.rank===3&&(u=!0,i=U(o,[1,o.shape[0],o.shape[1],o.shape[2]]),l=U(a,[1,a.shape[0],a.shape[1],a.shape[2]])),M(l.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${l.rank}.`),M(i.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${i.rank}.`);let c={dy:l,input:i},d={filterSize:n,strides:s,pad:r},h=L.runKernel(zd,c,d);return u?U(h,[h.shape[1],h.shape[2],h.shape[3]]):h}var lF=V({avgPoolGrad_:iF}),uF={kernelName:xa,inputsToSave:["x"],gradFunc
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1. The ${s} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
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2021-08-18 00:46:50 +02:00
2. The custom ${s} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let p of Object.keys(vs))u[p]=vs[p];for(let p of Object.keys(n))u[p]=n[p];let c=a.config;c.customObjects=u;let d=Object.assign({},vs);for(let p of Object.keys(n))vs[p]=n[p];XA(a.config);let h=l(i,a.config,n,r);return vs=Object.assign({},d),h}else{let u=Object.assign({},vs);for(let d of Object.keys(n))vs[d]=n[d];let c=new i(a.config);return vs=Object.assign({},u),c}}}function XD(e,t){return e<t?-1:e>t?1:0}function hp(e,t){return-1*XD(e,t)}function Xr(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function KD(e){if(e==null)throw new G(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function _o(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new G(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function KA(e,t,n=0,s=1/0){return Qs(n>=0),Qs(s>=n),Array.isArray(e)&&e.length>=n&&e.length<=s&&e.every(r=>typeof r===t)}function Zt(e,t){Array.isArray(e)?(I.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,s)=>Zt(n,`element ${s+1} of ${t}`))):I.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${Ub(e)}.`)}function Ub(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>Ub(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function ZD(e,t){let n=I.now(),s;return(...a)=>{let o=I.now();return o-n<t||(n=o,s=e(...a)),s}}function Hb(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}function ZA(e,t){return H(()=>ln(ve(z(e,e),t,!0)))}var hc=class extends oe.Serializable{getConfig(){return{}}},YA=class extends hc{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 H(()=>{let t=ZA(e,this.axis),n=Wn(t,0,this.maxValue);return z(e,de(n,ae(Ut(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};YA.className="MaxNorm";oe.registerClass(YA);var JA=class extends hc{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return H(()=>de(e,ae(Ut(),ZA(e,this.axis))))}getConfig(){return{axis:this.axis}}};JA.className="UnitNorm";oe.registerClass(JA);var QA=class extends hc{apply(e){return Ys(e)}};QA.className="NonNeg";oe.registerClass(QA);var eg=class extends hc{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 H(()=>{let t=ZA(e,this.axis),n=ae(z(this.rate,Wn(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,de(n,ae(Ut(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};eg.className="MinMaxNorm";oe.registerClass(eg);var Gb={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Ht(e){return qA(e)}function jb(e,t={}){return dc(e,oe.SerializationMap.getMap().classNameMap,t,"constraint")}function Gt(e){if(e==null)return null;if(typeof e=="string"){let n={className:e in Gb?Gb[e]:e,config:{}};return jb(n)}else return e instanceof hc?e:jb(e)}function YD(e){return new YA(e)}function JD(e){return new JA(e)}function QD(){return new QA}function eO(e){return new eg(e)}var qb={};Pe(qb,{constant:()=>kO,glorotNormal:()=>RO,glorotUniform:()=>EO,heNormal:()=>_O,heUniform:()=>$O,identity:()=>TO,leCunNormal:()=>FO,leCunUniform:()=>DO,ones:()=>wO,orthogonal:()=>OO,randomNormal:()=>SO,randomUniform:()=>IO,truncatedNormal:()=>CO,varianceScaling:()=>NO,zeros:()=>vO});var tO=["channelsFirst","channelsLast"],nO=["nearest","bilinear"],sO=["valid","same","causal"],rO=["max","avg"],aO=["sum","mul","concat","ave"],$l=new Map;function $t(e){_o(tO,"DataFormat",e)}function oO(e
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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),Is(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,Kt(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,s)=>this.write(n,t[s]))}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 s=0;s<this.size();s++)e.push(s)}if(e.length===0)return on([],[0].concat(this.elementShape));let n=this.readMany(e);return Is(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 ${e}`);if(this.size()===0)return on([],[0].concat(this.elementShape));let t=[];for(let s=0;s<this.size();s++)t.push(s);let n=this.readMany(t);return Is(this.elementShape,n[0].shape,`TensorArray shape mismatch: tensor array shape (${this.elementShape}) vs first tensor shape (${n[0].shape})`),ht(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,ds(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,s=e.map(i=>(n+=i,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to
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============================
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.
2021-08-18 00:46:50 +02:00
============================`));let s={id:this.nextDataId()};return this.data.set(s,{values:e,dtype:n,refCount:1}),s}makeTensorInfo(e,t,n){let s;if(t==="string"&&n!=null&&n.length>0&&I.isString(n[0])){let r=n.map(a=>I.encodeString(a));s=this.write(r,e,t)}else s=this.write(n,e,t);return{dataId:s,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}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,s,r){this.data.set(e,{values:t,dtype:s,refCount:r})}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 s=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return $.mergeRealAndImagArrays(s,r)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId),n=t;if(e.dtype==="string")try{n=t.map(s=>I.decodeString(s))}catch(s){throw new Error("Failed to decode encoded string bytes into utf-8")}return Be(e.shape,e.dtype,n)}makeOutput(e,t,n){let s=this.write(e,t,n);return Ar().makeTensorFromDataId(s,t,n,this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(e);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=I.now();return e(),{kernelMs:I.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){ke([e],"where");let t=this.readSync(e.dataId);return vB(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Kp.nextDataId=0;var Y2={};Pe(Y2,{addImpl:()=>k7,bincountImpl:()=>Q2,bincountReduceImpl:()=>I7,ceilImpl:()=>S7,concatImpl:()=>e1,equalImpl:()=>C7,expImpl:()=>N7,expm1Impl:()=>R7,floorImpl:()=>_7,gatherNdImpl:()=>$7,gatherV2Impl:()=>F7,greaterEqualImpl:()=>O7,greaterImpl:()=>D7,lessEqualImpl:()=>M7,lessImpl:()=>P7,linSpaceImpl:()=>z7,logImpl:()=>L7,maxImpl:()=>B7,maximumImpl:()=>W7,minimumImpl:()=>V7,multiplyImpl:()=>t1,negImpl:()=>U7,notEqualImpl:()=>H7,prodImpl:()=>G7,rangeImpl:()=>s1,rsqrtImpl:()=>j7,simpleAbsImpl:()=>w7,sliceImpl:()=>Jp,sparseFillEmptyRowsImpl:()=>q7,sparseReshapeImpl:()=>X7,sparseSegmentReductionImpl:()=>r1,squaredDifferenceImpl:()=>K7,stridedSliceImpl:()=>Z7,stringNGramsImpl:()=>Y7,stringSplitImpl:()=>J7,stringToHashBucketFastImpl:()=>Q7,subImpl:()=>ew,tileImpl:()=>tw,topKImpl:()=>sw,transposeImpl:()=>n1,uniqueImpl:()=>rw});function w7(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var wB=e=>{let{x:t}=e.inputs,n=e.backend;ke(t,"abs");let s=new Float32Array(I.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return s=w7(r),n.makeOutput(s,t.shape,"float32")},kB={kernelName:di,backendName:"cpu",kernelFunc:wB};function Mt(e){return(t,n,s,r,a)=>{let o=$.assertAndGetBroadcastShape(t,n),i=o.length,l=I.computeStrides(o),u=I.sizeFromShape(o),c=I.getTypedArrayFromDType(a,u),d=t.length,h=n.length,p=I.computeStrides(t),f=I.computeStrides(n),m=$.getBroadcastDims(t,o),A=$.getBroadcastDims(n,o);if(m.length+A.length===0)for(let g=0;g<c.length;++g)c[g]=e(s[g%s.length],r[g%r.length]);else for(let g=0;g<c.length;++g){let y=I.indexToLoc(g,i,l),x=y.slice(-d);m.forEach(w=>x[w]=0);let b=I.locToIndex(x,d,p),v=y.slice(-h);A.forEach(w=>v[w]=0);let k=I.locToIndex(v,h,f);c[g]=e(s[b],r[k])}return[c,o]}}function jn(e){let{inputs:t,backend:n}=e,{real:s,imag:r}=t,a=n.data.get(s.dataId).values,o=n.data.get(r.dataId).values,i=n.makeTensorInfo(s.shape,"complex64"),l=n.data.get(i.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(s.shape,"float32",a),imag:n.makeTensorInfo(r.shape,"float32",o)},i}var IB={kernelName:Wd,backendName:"cpu",kernelFunc:jn};function Zp(e,t,n="float32"){if(n==="complex64"){let r=Zp(e,t,"float32"),a=Zp(e,t,"float32");return jn({inputs:{real:r,imag:a
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indices.shape[0] = ${i}`);let A=I.getArrayFromDType(n,0),g=I.getArrayFromDType(r,0);return[A,[0,d],g,u,c]}let h=!0,p=0,f=new Array(l).fill(0);for(let A=0;A<i;++A){let g=e[A*d];if(g<0)throw new Error(`indices(${A}, 0) is invalid: ${g} < 0`);if(g>=l)throw new Error(`indices(${A}, 0) is invalid: ${g} >= ${l}`);++f[g],h=h&&g>=p,p=g}let m=!0;for(let A=0;A<l;++A){let g=f[A]===0;u[A]=g,m=m&&!g,f[A]=Math.max(f[A],1),A>0&&(f[A]+=f[A-1])}if(m&&h){let A=e,g=s;for(let y=0;y<i;++y)c[y]=y;return[A,[i,d],g,u,c]}else{let A=f[l-1],g=I.getArrayFromDType(n,A*d),y=I.getArrayFromDType(r,A),x=new Array(l).fill(0);for(let b=0;b<i;++b){let v=e[b*d],k=x[v],w=(v===0?0:f[v-1])+k;x[v]++;for(let C=0;C<d;++C)g[w*d+C]=e[b*d+C];y[w]=s[b],c[b]=w}for(let b=0;b<l;++b)if(x[b]===0){let k=b===0?0:f[b-1];g[k*d+0]=b;for(let w=1;w<d;++w)g[k*d+w]=0;y[k]=o}return[g,[A,d],y,u,c]}}function X7(e,t,n,s,r){let a=I.sizeFromShape(s),o=t[0],i=r.length,l=[],u=1,c=-1;for(let A=0;A<i;++A){let g=r[A];if(g===-1){if(c!==-1)throw new Error(`only one output dimension may be -1, not both ${c} and ${A}`);c=A,l.push(1)}else{if(g<0)throw new Error(`size ${A} must be non-negative, not ${g}`);u*=g,l.push(g)}}if(c!==-1){if(u<=0)throw new Error("reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero");let A=Math.trunc(a/u);if(u*A!==a)throw new Error(`Input to reshape is a SparseTensor with ${a}
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dense values, but the requested shape requires a multiple of ${u}. inputShape=${s} outputShape= ${l}`);l[c]=A}let d=I.sizeFromShape(l);if(d!==a)throw new Error(`Input to reshape is a tensor with ${a} dense values, but the requested shape has ${d}. inputShape=${s} outputShape=${l}`);let h=s.length,p=[];if(h>0){p[h-1]=1;for(let A=h-2;A>=0;--A)p[A]=p[A+1]*s[A+1]}let f=[];if(i>0){f[i-1]=1;for(let A=i-2;A>=0;--A)f[A]=f[A+1]*l[A+1]}let m=I.getArrayFromDType(n,o*i);for(let A=0;A<o;++A){let g=0;for(let y=0;y<h;++y)g+=e[A*h+y]*p[y];for(let y=0;y<i;++y)m[A*i+y]=Math.trunc(g/f[y]),g%=f[y]}return[m,[o,i],l]}function r1(e,t,n,s,r,a=!1,o=0){let i=s.length;if(i!==r.length)throw new Error("segmentIds and indices should have same size.");let l=[t[0],e.length/t[0]],u=l[1],d=i>0?r[i-1]+1:0;if(d<0)throw new Error("segment ids must be >= 0");let h=t.slice();h[0]=d;let p=h.reduce((x,b)=>x*b,1),f=I.getArrayFromDType(n,p);if(i===0)return d>0&&f.fill(o),[f,h];if(d<=0)throw new Error("segment ids must be >= 0");let m=0,A=1,g=0,y=r[m];for(;;){let x=0;if(A<i){if(x=r[A],y===x){++A;continue}if(y>=x)throw new Error("segment ids are not increasing")}if(y<0||y>=d)throw new Error(`Segment id ${y} out of range [0, ${d}), possibly because segmentIds input is not sorted.`);y>g&&f.fill(o,g*u,y*u);for(let b=m;b<A;++b){let v=s[b];if(v<0||v>=l[0])throw new Error(`Bad: indices[${b}] == ${s[b]} out of range [0, ${l[0]})`);for(let k=0;k<u;k++)f[y*u+k]+=e[v*u+k]}if(a)for(let b=0;b<u;b++)f[y*u+b]/=A-m;if(m=A,++A,g=y+1,y=x,A>i)break}return g<d&&f.fill(o,g*u,d*u),[f,h]}var K7=Mt((e,t)=>{let n=e-t;return n*n}),cW=Jt(io,K7),dW={kernelName:io,backendName:"cpu",kernelFunc:cW};function Z7(e,t,n,s){let r=Be(e,t.dtype);for(let a=0;a<r.size;a++){let o=r.indexToLoc(a),i=new Array(o.length);for(let l=0;l<i.length;l++)i[l]=o[l]*n[l]+s[l];r.set(t.get(...i),...o)}return r}var hW=class{constructor(e,t,n,s,r,a){this.separator=I.encodeString(e),this.nGramWidths=t,this.leftPad=I.encodeString(n),this.rightPad=I.encodeString(s),this.padWidth=r,this.preserveShort=a}getPadWidth(e){return Math.min(this.padWidth<0?e-1:this.padWidth,e-1)}getNumNGrams(e,t){let n=this.getPadWidth(t);return Math.max(0,e+2*n-t+1)}createNGrams(e,t,n,s,r,a){for(let o=0;o<r;++o){let i=this.getPadWidth(a),l=Math.max(0,i-o),u=Math.max(0,i-(r-(o+1))),c=a-(l+u),d=t+(l>0?0:o-i),h=0;h+=l*this.leftPad.length;for(let g=0;g<c;++g)h+=e[d+g].length;h+=u*this.rightPad.length,h+=(l+u+c-1)*this.separator.length,n[s+o]=new Uint8Array(h);let f=n[s+o],m=0,A=g=>g.forEach(y=>f[m++]=y);for(let g=0;g<l;++g)A(this.leftPad),A(this.separator);for(let g=0;g<c-1;++g)A(e[d+g]),A(this.separator);if(c>0){A(e[d+c-1]);for(let g=0;g<u;++g)A(this.separator),A(this.rightPad)}else{for(let g=0;g<u-1;++g)A(this.rightPad),A(this.separator);A(this.rightPad)}}}compute(e,t){let n=e.length,s=t.length;if(s>0){let i=t[0];if(i!==0)throw new Error(`First split value must be 0, got ${i}`);for(let l=1;l<s;++l){let u=t[l]>=i;if(u=u&&t[l]<=n,!u)throw new Error(`Invalid split value ${t[l]}, must be in [${i}, ${n}]`);i=t[l]}if(i!==n)throw new Error(`Last split value must be data size. Expected ${n}, got ${i}`)}let r=s-1,a=I.getArrayFromDType("int32",s);if(n===0||s===0){let i=new Array(n);for(let l=0;l<=r;++l)a[l]=0;return[i,a]}a[0]=0;for(let i=1;i<=r;++i){let l=t[i]-t[i-1],u=0;this.nGramWidths.forEach(c=>{u+=this.getNumNGrams(l,c)}),this.preserveShort&&l>0&&u===0&&(u=1),a[i]=a[i-1]+u}let o=new Array(a[r]);for(let i=0;i<r;++i){let l=t[i],u=a[i];if(this.nGramWidths.forEach(c=>{let d=t[i+1]-t[i],h=this.getNumNGrams(d,c);this.createNGrams(e,l,o,u,h,c),u+=h}),this.preserveShort&&u===a[i]){let c=t[i+1]-t[i];if(c===0)continue;let d=c+2*this.padWidth,h=1;this.createNGrams(e,l,o,u,h,d)}}return[o,a]}};function Y7(e,t,n,s,r,a,o,i){return new hW(n,s,r,a,o,i).compute(e,t)}function pW(e,t,n){if(!e.length)return[];if(t.length===0){let a=new Array(e.length);for(let o=0;o<e.length;++o)a[o]=e.subarray(o,o+1);return a}if(t.length===1){let a=t[0],o=[],i=e.indexOf(a);for(;i!==-1;){let l=e.subarray(0,i);(!n||l.length!==0)&&o.push(l),e=e.subarray(i+1),i=e.indexOf(a)}return(!n||
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${a.shape}`);if(s.shape.length!==2)throw new Error(`Indices must be a matrix, saw:
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${r.shape}`);if(a.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
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${a.shape}`);let o=n.data.get(s.dataId).values,i=n.data.get(r.dataId).values,l=n.data.get(a.dataId).values,[u,c]=r1(o,s.shape,s.dtype,i,l);return n.makeTensorInfo(c,s.dtype,u)}var DG={kernelName:fh,backendName:"cpu",kernelFunc:FG};function OG(e){let{inputs:t,backend:n,attrs:s}=e,{sparseIndices:r,sparseValues:a,defaultValue:o}=t,{outputShape:i}=s,{sliceRank:l,numUpdates:u,sliceSize:c,strides:d,outputSize:h}=$.calculateShapes(a,r,i),p=!1,f=n.bufferSync(r),m=n.bufferSync(a),A=n.data.get(o.dataId).values[0],g=ww(f,m,i,h,c,u,l,d,A,p);return n.makeTensorInfo(i,g.dtype,g.values)}var PG={kernelName:mh,backendName:"cpu",kernelFunc:OG};function MG(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{numOrSizeSplits:a,axis:o}=s,i=I.parseAxisParam(o,r.shape)[0],l=$.prepareSplitSize(r,a,i),u=new Array(r.shape.length).fill(0),c=r.shape.slice();return l.map(d=>{let h=[...c];h[i]=d;let p=Lo({inputs:{x:r},backend:n,attrs:{begin:u,size:h}});return u[i]+=d,p})}var zG={kernelName:ol,backendName:"cpu",kernelFunc:MG},LG=rt(ro,e=>Math.sqrt(e)),BG={kernelName:ro,backendName:"cpu",kernelFunc:LG},WG={kernelName:zu,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,s=t;ke(n,"square");let r=s.data.get(n.dataId).values,a=new Float32Array(r.length);for(let i=0;i<r.length;++i){let l=r[i];a[i]=l*l}return{dataId:s.write(a,n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}},VG=rt(Mr,(e,t)=>{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),UG={kernelName:Mr,backendName:"cpu",kernelFunc:VG};function HG(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{begin:a,end:o,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:d,shrinkAxisMask:h}=s;ke(r,"stridedSlice");let{nonStrided:p,$begin:f,$strides:m,size:A,newShape:g,outShape:y}=An.sliceInfo(r.shape,a,o,i,l,u,c,d,h),x=gt({inputs:{x:r},backend:n,attrs:{shape:g}}),b;if(p){let k=Lo({inputs:{x},backend:n,attrs:{begin:f,size:A}});b=gt({inputs:{x:k},backend:n,attrs:{shape:y}}),n.disposeIntermediateTensorInfo(k)}else if(y.some(k=>k===0))b=n.makeTensorInfo(y,r.dtype,[]);else{let k=n.bufferSync(x),w=Z7(y,k,m,f);b=n.makeTensorInfo(w.shape,w.dtype,w.values)}let v=gt({inputs:{x:b},backend:n,attrs:{shape:y}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(b),v}var GG={kernelName:il,backendName:"cpu",kernelFunc:HG};function jG(e){let{inputs:t,backend:n,attrs:s}=e,{separator:r,nGramWidths:a,leftPad:o,rightPad:i,padWidth:l,preserveShortSequences:u}=s,{data:c,dataSplits:d}=t,h=n.data.get(c.dataId).values,p=n.data.get(d.dataId).values,[f,m]=Y7(h,p,r,a,o,i,l,u);return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(d.shape,"int32",m)]}var qG={kernelName:Ah,backendName:"cpu",kernelFunc:jG};function XG(e){let{inputs:t,backend:n,attrs:s}=e,{skipEmpty:r}=s,{input:a,delimiter:o}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(a.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${a.shape}`);if(o.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${o.shape}`);let i=n.data.get(a.dataId).values,l=n.data.get(o.dataId).values[0],[u,c,d]=J7(i,l,r),h=c.length;return[n.makeTensorInfo([h,2],"int32",u),n.makeTensorInfo([h],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var KG={kernelName:gh,backendName:"cpu",kernelFunc:XG};function ZG(e){let{inputs:t,backend:n,attrs:s}=e,{numBuckets:r}=s,{input:a}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let o=n.data.get(a.dataId).values,i=Q7(o,r);return n.makeTensorInfo(a.shape,"int32",i)}var YG={kernelName:yh,backendName:"cpu",kernelFunc:ZG},JG=rt(uo,e=>Math.tan(e)),QG={kernelName:uo,backendName:"cpu",kernelFunc:JG},ej=rt(co,e=>Math.tanh(e)),tj={kernelName:co,backendName:"cpu",kernelFunc:ej};function nj(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{reps:a}=s;ke(r,"tile");let o=tw(n.bufferSync(r),a);return n.makeTensorInfo(o.shape,o.dtype,o.values)}var sj={kernelName:Pr,backendName:"cpu",kernelFunc:nj};function rj(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{k:a,sorted:o}=s;ke(r,"to
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`),a=r.length.toString().length+2,o=r.map((d,h)=>I.rightPad((h+1).toString(),a)+d),i=0;for(let d=0;d<o.length;d++)i=Math.max(o[d].length,i);let l=o.slice(0,s-1),u=o.slice(s-1,s),c=o.slice(s);console.log(l.join(`
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`))}function Rw(e){return Sr(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function _w(e,t){if(be(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 nf(e,t){if(be(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function $w(e,t){let n=Sr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return be(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),be(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function Fw(e,t){let n=Sr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return be(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),be(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function Rj(){return ee().getNumber("WEBGL_VERSION")===2?1:4}function Dw(e){return Sr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function Ow(e,t){let n=ee().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let s=`[${e}x${t}]`;throw new Error("Requested texture size "+s+" is invalid.")}if(e>n||t>n){let s=`[${e}x${t}]`,r=`[${n}x${n}]`;throw new Error("Requested texture size "+s+" greater than WebGL maximum on this browser / GPU "+r+".")}}function Pw(e){return Sr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function f1(e,t,n,s,r,a,o){let i=e.getAttribLocation(t,n);return i===-1?!1:(be(e,()=>e.bindBuffer(e.ARRAY_BUFFER,s)),be(e,()=>e.vertexAttribPointer(i,r,e.FLOAT,!1,a,o)),be(e,()=>e.enableVertexAttribArray(i)),!0)}function Mw(e,t,n){Vw(e,n),be(e,()=>e.activeTexture(e.TEXTURE0+n)),be(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function _j(e,t){Vw(e,t),be(e,()=>e.activeTexture(e.TEXTURE0+t)),be(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function zw(e,t,n){return Sr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function Lw(e,t,n){return e.getUniformLocation(t,n)}function Bw(e,t,n,s){be(e,()=>Mw(e,t,s)),be(e,()=>e.uniform1i(n,s))}function $j(e){be(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),be(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),be(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function sf(e,t,n){be(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),be(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function m1(e,t){be(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),be(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Bc(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+Ww(e,t))}function Ww(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 ${t}`}}function Sr(e,t,n){let s=be(e,()=>t());if(s==null)throw new Error(n);return s}function Vw(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,s=t+e.TEXTURE0;if(s<e.TEXTURE0||s>n){let r=`[gl.TEXTURE0, gl.TEXTURE${n}]`;throw new Error(`textureUnit must be in ${r}.`)}}function Wo(e,t=2){return I.sizeFromShape(e.slice(0,e.length-t))}function Vo(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 rf(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[Wo(e),...Vo(e)]),t}function Uw(e,t=!1){let n=ee().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(n=n*2,e=e.map((r,a)=>a>=e.length-2?I.nearestLargerEven(e[a]):e[a]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=I.squeezeShape(e).newShape);let s=I.sizeFromShape(e);if(e.length<=1&&s<=n)return[1,s];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
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)
`,l="",u=`
#define round(value) newRound(value)
int newRound(float value) {
return int(floor(value + 0.5));
}
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ivec4 newRound(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
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`):(e="",t="attribute",n="varying",s="varying",r="texture2D",a="gl_FragColor",o="",i=`
#define isnan(value) isnan_custom(value)
bool isnan_custom(float val) {
return (val > 0. || val < 1. || val == 0.) ? false : true;
}
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bvec4 isnan_custom(vec4 val) {
return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));
}
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`,l=`
uniform float INFINITY;
bool isinf(float val) {
return abs(val) == INFINITY;
}
bvec4 isinf(vec4 val) {
return equal(abs(val), vec4(INFINITY));
}
`,u=`
int round(float value) {
return int(floor(value + 0.5));
}
ivec4 round(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
`),{version:e,attribute:t,varyingVs:n,varyingFs:s,texture2D:r,output:a,defineOutput:o,defineSpecialNaN:i,defineSpecialInf:l,defineRound:u}}function Uo(e,t,n="index"){let s=I.computeStrides(t);return s.map((r,a)=>{let o=`int ${e[a]} = ${n} / ${r}`,i=a===s.length-1?`int ${e[a+1]} = ${n} - ${e[a]} * ${r}`:`index -= ${e[a]} * ${r}`;return`${o}; ${i};`}).join("")}function Zw(e,t,n="index"){let s=I.computeStrides(t);return s.map((r,a)=>{let o=`int ${e[a]} = ${n} / outShapeStrides[${a}]`,i=a===s.length-1?`int ${e[a+1]} = ${n} - ${e[a]} * outShapeStrides[${a}]`:`index -= ${e[a]} * outShapeStrides[${a}]`;return`${o}; ${i};`}).join("")}function y1(e){let t=I.computeStrides(e).map(n=>n.toString());return`
int getFlatIndex(ivec3 coords) {
return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;
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}
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`}var Yw=`
const float FLOAT_MAX = 1.70141184e38;
const float FLOAT_MIN = 1.17549435e-38;
lowp vec4 encode_float(highp float v) {
if (isnan(v)) {
return vec4(255, 255, 255, 255);
}
highp float av = abs(v);
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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;
}
`,Pj=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Pc.DENSE;let t=zc(e),n=bn();this.outputShape=e,this.userCode=`
ivec3 outCoordsFromFlatIndex(int index) {
${Uo(["r","c","d"],e)}
return ivec3(r, c, d);
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}
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void main() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getA(rc.x, rc.y, rc.z);
}
${n.output} = result;
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}
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`}},Mj=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Pc.DENSE;let t=zc(e),n=bn();this.outputShape=e,this.userCode=`
ivec3 outCoordsFromFlatIndex(int index) {
${Uo(["r","c","d"],e)}
return ivec3(r, c, d);
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}
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void main() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = 4 * (resTexRC.x * ${t[1]} + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));
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}
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${n.output} = result;
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}
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`}},zj=class{constructor(e){this.variableNames=["A"],this.outTexUsage=fs.DOWNLOAD;let t=bn();this.outputShape=e,this.userCode=`
${Yw}
void main() {
float x = getAAtOutCoords();
${t.output} = encode_float(x);
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}
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`}},Lj=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=fs.DOWNLOAD;let t=bn();this.outputShape=e,this.userCode=`
${Yw}
void main() {
ivec3 coords = getOutputCoords();
float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
${t.output} = encode_float(x);
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}
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`}},Bj=class{constructor(e,t,n=!1){this.variableNames=["A"];let s=bn(),[r,a]=t;this.outputShape=e;let o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode=`
${y1(e)}
void main() {
ivec3 coords = getOutputCoords();
int flatIndex = getFlatIndex(coords);
int offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
int r = flatIndex / ${a};
int c = imod(flatIndex, ${a});
vec2 uv = (vec2(c, r) + halfCR) / vec2(${a}.0, ${r}.0);
vec4 values = ${s.texture2D}(A, uv);
float result;
if(offset == 0) {
result = values[0];
} else if(offset == 1) {
result = values[1];
} else if(offset == 2) {
result = values[2];
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} else {
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result = values[3];
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}
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${s.output} = vec4(${o}, 0., 0., 0.);
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}
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`}},Wj=class{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let s=bn(),[r,a]=t;this.outputShape=e;let o="",i="result";n&&(i="floor(result * 255. + 0.5)");for(let l=0;l<=1;l++)for(let u=0;u<=1;u++){let c=l*2+u;o+=`
localCoords = coords;
if(localCoords[2] + ${u} < ${e[2]}) {
localCoords[2] += ${u};
if(localCoords[1] + ${l} < ${e[1]}) {
localCoords[1] += ${l};
flatIndex = getFlatIndex(localCoords);
offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
r = flatIndex / ${a};
c = imod(flatIndex, ${a});
uv = (vec2(c, r) + halfCR) / vec2(${a}.0, ${r}.0);
values = ${s.texture2D}(A, uv);
if(offset == 0) {
result[${c}] = values[0];
} else if(offset == 1) {
result[${c}] = values[1];
} else if(offset == 2) {
result[${c}] = values[2];
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} else {
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result[${c}] = values[3];
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}
}
}
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`}this.userCode=`
${y1(e)}
void main() {
ivec3 coords = getOutputCoords();
vec4 result = vec4(0.);
int flatIndex, r, c, offset;
ivec3 localCoords;
vec2 uv;
vec4 values;
${o}
${s.output} = ${i};
}
`}},Jw={};Pe(Jw,{bindVertexProgramAttributeStreams:()=>i6,createBufferFromOutputTexture:()=>c6,createFloat16MatrixTexture:()=>s6,createFloat16PackedMatrixTexture:()=>o6,createFloat32MatrixTexture:()=>n6,createIndexBuffer:()=>t6,createPackedMatrixTexture:()=>a6,createUnsignedBytesMatrixTexture:()=>r6,createVertexBuffer:()=>e6,createVertexShader:()=>Qw,downloadByteEncodedFloatMatrixFromOutputTexture:()=>h6,downloadFloat32MatrixFromBuffer:()=>d6,downloadMatrixFromPackedOutputTexture:()=>f6,downloadPackedMatrixFromBuffer:()=>p6,getInternalFormatForFloat16MatrixTexture:()=>b1,getInternalFormatForFloat16PackedMatrixTexture:()=>k1,getInternalFormatForFloat32MatrixTexture:()=>x1,getInternalFormatForPackedMatrixTexture:()=>w1,getInternalFormatForUnsignedBytesMatrixTexture:()=>v1,uploadDenseMatrixToTexture:()=>l6,uploadPixelDataToTexture:()=>u6});function Qw(e){let t=bn(),n=`${t.version}
precision highp float;
${t.attribute} vec3 clipSpacePos;
${t.attribute} vec2 uv;
${t.varyingVs} vec2 resultUV;
void main() {
gl_Position = vec4(clipSpacePos, 1);
resultUV = uv;
}`;return Nw(e,n)}function e6(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 $w(e,t)}function t6(e){let t=new Uint16Array([0,1,2,2,1,3]);return Fw(e,t)}function Vc(e,t,n,s,r,a){Ow(t,n);let o=Dw(e),i=e.TEXTURE_2D;return be(e,()=>e.bindTexture(i,o)),be(e,()=>e.texParameteri(i,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),be(e,()=>e.texParameteri(i,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),be(e,()=>e.texParameteri(i,e.TEXTURE_MIN_FILTER,e.NEAREST)),be(e,()=>e.texParameteri(i,e.TEXTURE_MAG_FILTER,e.NEAREST)),be(e,()=>e.texImage2D(i,0,s,t,n,0,r,a,null)),be(e,()=>e.bindTexture(e.TEXTURE_2D,null)),o}function x1(e){return e.internalFormatFloat}function n6(e,t,n,s){let[r,a]=Mc(t,n);return Vc(e,r,a,x1(s),s.textureFormatFloat,e.FLOAT)}function b1(e){return e.internalFormatHalfFloat}function s6(e,t,n,s){let[r,a]=Mc(t,n);return Vc(e,r,a,b1(s),s.textureFormatFloat,s.textureTypeHalfFloat)}function v1(e){return e.downloadTextureFormat}function r6(e,t,n,s){let[r,a]=Mc(t,n);return Vc(e,r,a,v1(s),e.RGBA,e.UNSIGNED_BYTE)}function w1(e){return e.internalFormatPackedFloat}function a6(e,t,n,s){let[r,a]=Gl(t,n);return Vc(e,r,a,w1(s),e.RGBA,e.FLOAT)}function k1(e){return e.internalFormatPackedHalfFloat}function o6(e,t,n,s){let[r,a]=Gl(t,n);return Vc(e,r,a,k1(s),e.RGBA,s.textureTypeHalfFloat)}function i6(e,t,n){let s=0,r=3*4,a=3*4+2*4;return be(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),f1(e,t,"clipSpacePos",n,3,a,s)&&f1(e,t,"uv",n,2,a,r)}function l6(e,t,n,s,r,a){be(e,()=>e.bindTexture(e.TEXTURE_2D,t));let o,i,l;r instanceof Uint8Array?(o=new Uint8Array(n*s*4),i=e.UNSIGNED_BYTE,l=e.RGBA):(o=new Float32Array(n*s*4),i=e.FLOAT,l=a.internalFormatPackedFloat),o.set(r),be(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,s,0,e.RGBA,i,o)),be(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function u6(e,t,n){be(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?be(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):be(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),be(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function c6(e,t,n,s){let r=e.createBuffer();be(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let i=4*4*t*n;return be(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)),be(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),be(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function d6(e,t,n){let s=e,r=new Float32Array(n);return s.bindBuffer(s.PIXEL_PACK_BUFFER,t),s.getBufferSubData(s.PIXEL_PACK_BUFFER,0,r),s.bindBuffer(s.PIXEL_PACK_BUFFER,null),r}function h6(e,t,n,s){let[r,a]=Mc(t,n),o=4,i=new Uint8Array(kj(t*n,o));return be(e,()=>e.readPixels(0,0,r,a,s.downloadTextureFormat,e.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function p6(e,t,n,s,r,a,o,i){let l=e,u=new Float32Array(Ij(a,o));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function f6(e,t,n){let s=new Float32Array(t*n*4);return be(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,s)),s}var uf=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=ee().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,tf(t,e)):this.gl=ar(t);let n="WEBGL_color_buffer_float",s="EXT_color_buffer_half_float";if(ee().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",a="OES_texture_half_float";if(this.textureFloatExtension=Lc(this.gl,r),ms(this.gl,a))this.textureHalfFloatExtension=Lc(this.gl,a);else if(ee().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),ms(this.gl,s))this.colorBufferHalfFloatExtension=Lc(this.gl,s);else if(ee().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",ms(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(ms(this.gl,s))t
`),a=e.map(p=>Hj(p,t,n.packedInputs,n.enableShapeUniforms)).join(`
`),o=t.texShape,i=bn(),l=qj(i),u,c,d=Zj(i);return t.isPacked?(u=Gj(t.logicalShape,o,n.enableShapeUniforms),c=Kj(i)):(u=jj(t.logicalShape,o,n.enableShapeUniforms),c=Xj(i)),n.packedInputs&&(d+=eq),[d,l,c,r,u,a,n.userCode].join(`
`)}function ql(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return hq(e,t);case 1:return fq(e,t);case 2:return Aq(e,t);case 3:return yq(e,t);case 4:return bq(e,t);case 5:return vq(e);case 6:return wq(e);default:throw new Error(`${n.length}-D input sampling is not yet supported`)}}function A6(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return dq(e);case 1:return pq(e,t);case 2:return mq(e,t);case 3:return gq(e,t);default:return xq(e,t)}}function Hj(e,t,n=!1,s){let r="";n?r+=A6(e,s):r+=ql(e,s);let a=e.shapeInfo.logicalShape,o=t.logicalShape;return a.length<=o.length&&(n?r+=kq(e,t):r+=Iq(e,t)),r}function Gj(e,t,n){switch(e.length){case 0:return g6();case 1:return tq(e,t,n);case 2:return uq(e,t,n);case 3:return sq(e,t,n);default:return aq(e,t,n)}}function jj(e,t,n){switch(e.length){case 0:return g6();case 1:return nq(e,t,n);case 2:return cq(e,t,n);case 3:return rq(e,t,n);case 4:return oq(e,t,n);case 5:return iq(e,t);case 6:return lq(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function qj(e){return`
float sampleTexture(sampler2D textureSampler, vec2 uv) {
return ${e.texture2D}(textureSampler, uv).r;
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}
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`}function Xj(e){return`
void setOutput(float val) {
${e.output} = vec4(val, 0, 0, 0);
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}
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`}function Kj(e){return`
void setOutput(vec4 val) {
${e.output} = val;
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}
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`}function Zj(e){return`${e.version}
precision highp float;
precision highp int;
precision highp sampler2D;
${e.varyingFs} vec2 resultUV;
${e.defineOutput}
const vec2 halfCR = vec2(0.5, 0.5);
struct ivec5
{
int x;
int y;
int z;
int w;
int u;
};
struct ivec6
{
int x;
int y;
int z;
int w;
int u;
int v;
};
uniform float NAN;
${e.defineSpecialNaN}
${e.defineSpecialInf}
${e.defineRound}
int imod(int x, int y) {
return x - y * (x / y);
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}
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int idiv(int a, int b, float sign) {
int res = a / b;
int mod = imod(a, b);
if (sign < 0. && mod != 0) {
res -= 1;
}
return res;
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}
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//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
#define HASHSCALE1 443.8975
float random(float seed){
vec2 p = resultUV * seed;
vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);
p3 += dot(p3, p3.yzx + 19.19);
return fract((p3.x + p3.y) * p3.z);
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}
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${Yj}
${Jj}
${Qj}
`}var Yj=`
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);
}
`,Jj=`
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);
}
`,Qj=`
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);
}
`,eq=`
float getChannel(vec4 frag, vec2 innerDims) {
vec2 modCoord = mod(innerDims, 2.);
return modCoord.x == 0. ?
(modCoord.y == 0. ? frag.r : frag.g) :
(modCoord.y == 0. ? frag.b : frag.a);
}
float getChannel(vec4 frag, int dim) {
float modCoord = mod(float(dim), 2.);
return modCoord == 0. ? frag.r : frag.g;
}
`;function g6(){return`
int getOutputCoords() {
return 0;
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}
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`}function tq(e,t,n){let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return s[0]===1?n?`
int getOutputCoords() {
return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));
}
`:`
int getOutputCoords() {
return 2 * int(resultUV.x * ${s[1]}.0);
}
`:s[1]===1?n?`
int getOutputCoords() {
return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));
}
`:`
int getOutputCoords() {
return 2 * int(resultUV.y * ${s[0]}.0);
}
`:n?`
int getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);
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}
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`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${s[0]}, ${s[1]}));
return 2 * (resTexRC.x * ${s[1]} + resTexRC.y);
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}
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`}function nq(e,t,n){return t[0]===1?n?`
int getOutputCoords() {
return int(resultUV.x * float(outTexShape[1]));
}
`:`
int getOutputCoords() {
return int(resultUV.x * ${t[1]}.0);
}
`:t[1]===1?n?`
int getOutputCoords() {
return int(resultUV.y * float(outTexShape[0]));
}
`:`
int getOutputCoords() {
return int(resultUV.y * ${t[0]}.0);
}
`:n?`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
return resTexRC.x * outTexShape[1] + resTexRC.y;
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}
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`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
return resTexRC.x * ${t[1]} + resTexRC.y;
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}
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`}function sq(e,t,n){if(n)return`
ivec3 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));
int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int b = index / texelsInBatch;
index -= b * texelsInBatch;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
return ivec3(b, r, c);
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}
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`;let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return`
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${s[0]}, ${s[1]}));
int index = resTexRC.x * ${s[1]} + resTexRC.y;
int b = index / ${a};
index -= b * ${a};
int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
return ivec3(b, r, c);
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}
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`}function rq(e,t,n){if(n)return`
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
${Zw(["r","c","d"],e)}
return ivec3(r, c, d);
}
`;let s=Uo(["r","c","d"],e);return`
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${s}
return ivec3(r, c, d);
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}
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`}function aq(e,t,n){if(n)return`
ivec4 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));
int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));
int texelsInBatchN = texelsInBatch * outShape[1];
int b2 = index / texelsInBatchN;
index -= b2 * texelsInBatchN;
int b = index / texelsInBatch;
index -= b * texelsInBatch;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
return ivec4(b2, b, r, c);
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}
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`;let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),a=r*Math.ceil(e[e.length-2]/2),o=a,i="",l="b, r, c";for(let u=2;u<e.length-1;u++)o*=e[e.length-u-1],i=`
int b${u} = index / ${o};
index -= b${u} * ${o};
`+i,l=`b${u}, `+l;return`
ivec${e.length} getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${s[0]}, ${s[1]}));
int index = resTexRC.x * ${s[1]} + resTexRC.y;
${i}
int b = index / ${a};
index -= b * ${a};
int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
return ivec${e.length}(${l});
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}
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`}function oq(e,t,n){if(n)return`
ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
${Zw(["r","c","d","d2"],e)}
return ivec4(r, c, d, d2);
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}
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`;let s=Uo(["r","c","d","d2"],e);return`
ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${s}
return ivec4(r, c, d, d2);
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}
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`}function iq(e,t){let n=Uo(["r","c","d","d2","d3"],e);return`
ivec5 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(${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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}
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`}function lq(e,t){let n=Uo(["r","c","d","d2","d3","d4"],e);return`
ivec6 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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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}
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`}function uq(e,t,n){let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(I.arraysEqual(e,t))return n?`
ivec2 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1]));
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}
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`:`
ivec2 getOutputCoords() {
return 2 * ivec2(resultUV.yx * vec2(${s[0]}, ${s[1]}));
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}
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`;let r=Math.ceil(e[1]/2);return n?`
ivec2 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
int texelsInLogicalRow = int(ceil(float(outShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
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int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
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return ivec2(r, c);
}
`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${s[0]}, ${s[1]}));
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int index = resTexRC.x * ${s[1]} + resTexRC.y;
int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
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return ivec2(r, c);
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}
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`}function cq(e,t,n){return I.arraysEqual(e,t)?n?`
ivec2 getOutputCoords() {
return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));
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}
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`:`
ivec2 getOutputCoords() {
return ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]}));
}
`:e[1]===1?n?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
return ivec2(index, 0);
}
`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
return ivec2(index, 0);
}
`:e[0]===1?n?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
return ivec2(0, index);
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}
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`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
return ivec2(0, index);
}
`:n?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
int r = index / outShape[1];
int c = index - r * outShape[1];
return ivec2(r, c);
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}
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`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
int r = index / ${e[1]};
int c = index - r * ${e[1]};
return ivec2(r, c);
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}
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`}function Ho(e){return`offset${e}`}function dq(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),s=bn();return`
vec4 ${n}() {
return ${s.texture2D}(${t}, halfCR);
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}
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`}function hq(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return`float ${s}() {return ${n};}`;let[r,a]=e.shapeInfo.texShape;if(r===1&&a===1)return`
float ${s}() {
return sampleTexture(${n}, halfCR);
}
`;let o=Ho(n);if(t)return`
float ${s}() {
vec2 uv = uvFromFlat(${n}TexShape[0], ${n}TexShape[1], ${o});
return sampleTexture(${n}, uv);
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}
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`;let[i,l]=e.shapeInfo.texShape;return`
float ${s}() {
vec2 uv = uvFromFlat(${i}, ${l}, ${o});
return sampleTexture(${n}, uv);
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}
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`}function pq(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,a=bn();if(t)return`
vec4 ${s}(int index) {
ivec2 packedTexShape = ivec2(ceil(float(${n}TexShape[0]) / 2.0), ceil(float(${n}TexShape[1]) / 2.0));
vec2 uv = packedUVfrom1D(
packedTexShape[0], packedTexShape[1], index);
return ${a.texture2D}(${n}, uv);
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}
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`;let o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];return`
vec4 ${s}(int index) {
vec2 uv = packedUVfrom1D(
${o[0]}, ${o[1]}, index);
return ${a.texture2D}(${n}, uv);
}
`}function fq(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return`
float ${s}(int index) {
${Xl(e)}
}
`;let r=e.shapeInfo.texShape,a=r[0],o=r[1];if(o===1&&a===1)return`
float ${s}(int index) {
return sampleTexture(${n}, halfCR);
}
`;let i=Ho(n);return o===1?t?`
float ${s}(int index) {
vec2 uv = vec2(0.5, (float(index + ${i}) + 0.5) / float(${n}TexShape[0]));
return sampleTexture(${n}, uv);
}
`:`
float ${s}(int index) {
vec2 uv = vec2(0.5, (float(index + ${i}) + 0.5) / ${a}.0);
return sampleTexture(${n}, uv);
}
`:a===1?t?`
float ${s}(int index) {
vec2 uv = vec2((float(index + ${i}) + 0.5) / float(${n}TexShape[1]), 0.5);
return sampleTexture(${n}, uv);
}
`:`
float ${s}(int index) {
vec2 uv = vec2((float(index + ${i}) + 0.5) / ${o}.0, 0.5);
return sampleTexture(${n}, uv);
}
`:t?`
float ${s}(int index) {
vec2 uv = uvFromFlat(${n}TexShape[0], ${n}TexShape[1], index + ${i});
return sampleTexture(${n}, uv);
}
`:`
float ${s}(int index) {
vec2 uv = uvFromFlat(${a}, ${o}, index + ${i});
return sampleTexture(${n}, uv);
}
`}function mq(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=e.shapeInfo.texShape,o=a[0],i=a[1],l=bn();if(a!=null&&I.arraysEqual(n,a))return t?`
vec4 ${r}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${s}TexShape[1], ${s}TexShape[0]);
return ${l.texture2D}(${s}, uv);
}
`:`
vec4 ${r}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${i}.0, ${o}.0);
return ${l.texture2D}(${s}, uv);
}
`;if(t)return`
vec4 ${r}(int row, int col) {
ivec2 packedTexShape = ivec2(ceil(float(${s}TexShape[0]) / 2.0), ceil(float(${s}TexShape[1]) / 2.0));
int valuesPerRow = int(ceil(float(${s}Shape[1]) / 2.0));
vec2 uv = packedUVfrom2D(valuesPerRow, packedTexShape[0], packedTexShape[1], row, col);
return ${l.texture2D}(${s}, uv);
}
`;let u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],c=Math.ceil(n[1]/2);return`
vec4 ${r}(int row, int col) {
vec2 uv = packedUVfrom2D(${c}, ${u[0]}, ${u[1]}, row, col);
return ${l.texture2D}(${s}, uv);
}
`}function Aq(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=e.shapeInfo.texShape;if(a!=null&&I.arraysEqual(n,a)){if(t)return`
float ${r}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
}
`;let h=a[0],p=a[1];return`
float ${r}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${p}.0, ${h}.0);
return sampleTexture(${s}, uv);
}
`}let{newShape:o,keptDims:i}=I.squeezeShape(n),l=o;if(l.length<n.length){let h=Kl(e,l),p=["row","col"];return`
${ql(h,t)}
float ${r}(int row, int col) {
return ${r}(${Zl(p,i)});
}
`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col) {
int index = round(dot(vec2(row, col), vec2(${n[1]}, 1)));
${Xl(e)}
}
`;let u=a[0],c=a[1],d=Ho(s);return c===1?t?`
float ${r}(int row, int col) {
float index = dot(vec3(row, col, ${d}), vec3(${s}Shape[1], 1, 1));
vec2 uv = vec2(0.5, (index + 0.5) / float(${s}TexShape[0]));
return sampleTexture(${s}, uv);
}
`:`
float ${r}(int row, int col) {
float index = dot(vec3(row, col, ${d}), vec3(${n[1]}, 1, 1));
vec2 uv = vec2(0.5, (index + 0.5) / ${u}.0);
return sampleTexture(${s}, uv);
}
`:u===1?t?`
float ${r}(int row, int col) {
float index = dot(vec3(row, col, ${d}), vec3(${s}Shape[1], 1, 1));
vec2 uv = vec2((index + 0.5) / float(${s}TexShape[1]), 0.5);
return sampleTexture(${s}, uv);
}
`:`
float ${r}(int row, int col) {
float index = dot(vec3(row, col, ${d}), vec3(${n[1]}, 1, 1));
vec2 uv = vec2((index + 0.5) / ${c}.0, 0.5);
return sampleTexture(${s}, uv);
}
`:t?`
float ${r}(int row, int col) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${s}Shape[1] + col + ${d};
vec2 uv = uvFromFlat(${s}TexShape[0], ${s}TexShape[1], index);
return sampleTexture(${s}, uv);
}
`:`
float ${r}(int row, int col) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${n[1]} + col + ${d};
vec2 uv = uvFromFlat(${u}, ${c}, index);
return sampleTexture(${s}, uv);
}
`}function gq(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=e.shapeInfo.texShape,o=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(n[0]===1){let h=n.slice(1),p=[1,2],f=Kl(e,h),m=["b","row","col"];return`
${A6(f,t)}
vec4 ${r}(int b, int row, int col) {
return ${r}(${Zl(m,p)});
}
`}let i=bn();if(t)return`
vec4 ${r}(int b, int row, int col) {
ivec2 packedTexShape = ivec2(ceil(float(${s}TexShape[0]) / 2.0), ceil(float(${s}TexShape[1]) / 2.0));
int valuesPerRow = int(ceil(float(${s}Shape[2]) / 2.0));
int texelsInBatch = valuesPerRow * int(ceil(float(${s}Shape[1]) / 2.0));
vec2 uv = packedUVfrom3D(
packedTexShape[0], packedTexShape[1], texelsInBatch, valuesPerRow, b, row, col);
return ${i.texture2D}(${s}, uv);
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}
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`;let l=o[0],u=o[1],c=Math.ceil(n[2]/2),d=c*Math.ceil(n[1]/2);return`
vec4 ${r}(int b, int row, int col) {
vec2 uv = packedUVfrom3D(
${l}, ${u}, ${d}, ${c}, b, row, col);
return ${i.texture2D}(${s}, uv);
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}
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`}function yq(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=n[1]*n[2],o=n[2],{newShape:i,keptDims:l}=I.squeezeShape(n),u=i;if(u.length<n.length){let m=Kl(e,u),A=["row","col","depth"];return`
${ql(m,t)}
float ${r}(int row, int col, int depth) {
return ${r}(${Zl(A,l)});
}
`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col, int depth) {
int index = round(dot(vec3(row, col, depth),
vec3(${a}, ${o}, 1)));
${Xl(e)}
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}
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`;let c=e.shapeInfo.texShape,d=c[0],h=c[1],p=e.shapeInfo.flatOffset;if(h===a&&p==null)return t?`
float ${r}(int row, int col, int depth) {
int stride1 = ${s}Shape[2];
float texR = float(row);
float texC = dot(vec2(col, depth), vec2(stride1, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
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}
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`:`
float ${r}(int row, int col, int depth) {
float texR = float(row);
float texC = dot(vec2(col, depth), vec2(${o}, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${h}.0, ${d}.0);
return sampleTexture(${s}, uv);
}
`;if(h===o&&p==null)return t?`
float ${r}(int row, int col, int depth) {
float texR = dot(vec2(row, col), vec2(${s}Shape[1], 1));
float texC = float(depth);
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
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}
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`:`
float ${r}(int row, int col, int depth) {
float texR = dot(vec2(row, col), vec2(${n[1]}, 1));
float texC = float(depth);
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${h}.0, ${d}.0);
return sampleTexture(${s}, uv);
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}
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`;let f=Ho(s);return t?`
float ${r}(int row, int col, int depth) {
// Explicitly use integer operations as dot() only works on floats.
int stride0 = ${s}Shape[1] * ${s}Shape[2];
int stride1 = ${s}Shape[2];
int index = row * ${a} + col * ${o} + depth + ${f};
vec2 uv = uvFromFlat(${s}TexShape[0], ${s}TexShape[1], index);
return sampleTexture(${s}, uv);
}
`:`
float ${r}(int row, int col, int depth) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${a} + col * ${o} + depth + ${f};
vec2 uv = uvFromFlat(${d}, ${h}, index);
return sampleTexture(${s}, uv);
}
`}function xq(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),r=bn();if(t)return`
vec4 ${s}(int b2, int b, int row, int col) {
int valuesPerRow = int(ceil(float(${n}Shape[3]) / 2.0));
int texelsInBatch = valuesPerRow * int(ceil(float(${n}Shape[2]) / 2.0));
int index = b * texelsInBatch + (row / 2) * valuesPerRow + (col / 2);
texelsInBatch *= ${n}Shape[1];
index = b2 * texelsInBatch + index;
ivec2 packedTexShape = ivec2(ceil(float(${n}TexShape[0]) / 2.0), ceil(float(${n}TexShape[1]) / 2.0));
int texR = index / packedTexShape[1];
int texC = index - texR * packedTexShape[1];
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(packedTexShape[1], packedTexShape[0]); return ${r.texture2D}(${n}, uv);
}
`;let a=e.shapeInfo.logicalShape,o=a.length,i=e.shapeInfo.texShape,l=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],u=l[0],c=l[1],d=Math.ceil(a[o-1]/2),h=d*Math.ceil(a[o-2]/2),p="int b, int row, int col",f=`b * ${h} + (row / 2) * ${d} + (col / 2)`;for(let m=2;m<o-1;m++)p=`int b${m}, `+p,h*=a[o-m-1],f=`b${m} * ${h} + `+f;return`
vec4 ${s}(${p}) {
int index = ${f};
int texR = index / ${c};
int texC = index - texR * ${c};
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${c}, ${u});
return ${r.texture2D}(${n}, uv);
}
`}function bq(e,t){let n=e.shapeInfo.logicalShape,s=e.name,r="get"+s.charAt(0).toUpperCase()+s.slice(1),a=n[3],o=n[2]*a,i=n[1]*o,{newShape:l,keptDims:u}=I.squeezeShape(n);if(l.length<n.length){let y=Kl(e,l),x=["row","col","depth","depth2"];return`
${ql(y,t)}
float ${r}(int row, int col, int depth, int depth2) {
return ${r}(${Zl(x,u)});
}
`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col, int depth, int depth2) {
int index = round(dot(vec4(row, col, depth, depth2),
vec4(${i}, ${o}, ${a}, 1)));
${Xl(e)}
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}
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`;let c=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,h=d[0],p=d[1],f=`int stride2 = ${s}Shape[3];`,m=`int stride1 = ${s}Shape[2] * stride2;`,A=`int stride0 = ${s}Shape[1] * stride1;`;if(p===i&&c==null)return t?`
float ${r}(int row, int col, int depth, int depth2) {
${f}
${m}
float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
vec3(stride1, stride2, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
}
`:`
float ${r}(int row, int col, int depth, int depth2) {
float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
vec3(${o}, ${a}, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${p}.0, ${h}.0);
return sampleTexture(${s}, uv);
}
`;if(p===a&&c==null)return t?`
float ${r}(int row, int col, int depth, int depth2) {
float texR = dot(vec3(row, col, depth),
vec3(${s}Shape[1] * ${s}Shape[2], ${s}Shape[2], 1));
float texC = float(depth2);
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
}
`:`
float ${r}(int row, int col, int depth, int depth2) {
float texR = dot(vec3(row, col, depth),
vec3(${n[1]*n[2]}, ${n[2]}, 1));
float texC = float(depth2);
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${p}.0, ${h}.0);
return sampleTexture(${s}, uv);
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}
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`;let g=Ho(s);return t?`
float ${r}(int row, int col, int depth, int depth2) {
// Explicitly use integer operations as dot() only works on floats.
${f}
${m}
${A}
int index = row * stride0 + col * stride1 +
depth * stride2 + depth2;
vec2 uv = uvFromFlat(${s}TexShape[0], ${s}TexShape[1], index + ${g});
return sampleTexture(${s}, uv);
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}
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`:`
float ${r}(int row, int col, int depth, int depth2) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${i} + col * ${o} +
depth * ${a} + depth2;
vec2 uv = uvFromFlat(${h}, ${p}, index + ${g});
return sampleTexture(${s}, uv);
}
`}function vq(e){let t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[4],a=t[3]*r,o=t[2]*a,i=t[1]*o,{newShape:l,keptDims:u}=I.squeezeShape(t);if(l.length<t.length){let m=Kl(e,l),A=["row","col","depth","depth2","depth3"];return`
${ql(m)}
float ${s}(int row, int col, int depth, int depth2, int depth3) {
return ${s}(${Zl(A,u)});
}
`}if(e.shapeInfo.isUniform)return`
float ${s}(int row, int col, int depth, int depth2, int depth3) {
float index = dot(
vec4(row, col, depth, depth2),
vec4(${i}, ${o}, ${a}, ${r})) +
depth3;
${Xl(e)}
}
`;let c=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,h=d[0],p=d[1];if(p===i&&c==null)return`
float ${s}(int row, int col, int depth, int depth2, int depth3) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
vec4(${o}, ${a}, ${r}, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${p}.0, ${h}.0);
return sampleTexture(${n}, uv);
}
`;if(p===r&&c==null)return`
float ${s}(int row, int col, int depth, int depth2, int depth3) {
float texR = dot(
vec4(row, col, depth, depth2),
vec4(${t[1]*t[2]*t[3]},
${t[2]*t[3]}, ${t[3]}, 1));
int texC = depth3;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${p}.0, ${h}.0);
return sampleTexture(${n}, uv);
}
`;let f=Ho(n);return`
float ${s}(int row, int col, int depth, int depth2, int depth3) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${i} + col * ${o} + depth * ${a} +
depth2 * ${r} + depth3 + ${f};
vec2 uv = uvFromFlat(${h}, ${p}, index);
return sampleTexture(${n}, uv);
}
`}function wq(e){let t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:r,keptDims:a}=I.squeezeShape(t);if(r.length<t.length){let A=Kl(e,r),g=["row","col","depth","depth2","depth3","depth4"];return`
${ql(A)}
float ${s}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
return ${s}(${Zl(g,a)});
}
`}let o=t[5],i=t[4]*o,l=t[3]*i,u=t[2]*l,c=t[1]*u;if(e.shapeInfo.isUniform)return`
float ${s}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
int index = round(dot(
vec4(row, col, depth, depth2),
vec4(${c}, ${u}, ${l}, ${i})) +
dot(
vec2(depth3, depth4),
vec2(${o}, 1)));
${Xl(e)}
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}
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`;let d=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,p=h[0],f=h[1];if(f===c&&d==null)return`
float ${s}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
vec4(${u}, ${l}, ${i}, ${o})) +
float(depth4);
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${f}.0, ${p}.0);
return sampleTexture(${n}, uv);
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}
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`;if(f===o&&d==null)return`
float ${s}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
float texR = dot(vec4(row, col, depth, depth2),
vec4(${t[1]*t[2]*t[3]*t[4]},
${t[2]*t[3]*t[4]},
${t[3]*t[4]},
${t[4]})) + float(depth3);
int texC = depth4;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${f}.0, ${p}.0);
return sampleTexture(${n}, uv);
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}
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`;let m=Ho(n);return`
float ${s}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${c} + col * ${u} + depth * ${l} +
depth2 * ${i} + depth3 * ${o} + depth4 + ${m};
vec2 uv = uvFromFlat(${p}, ${f}, index);
return sampleTexture(${n}, uv);
}
`}function Xl(e){let t=e.name,n=I.sizeFromShape(e.shapeInfo.logicalShape);return n<2?`return ${t};`:`
for (int i = 0; i < ${n}; i++) {
if (i == index) {
return ${t}[i];
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}
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}
`}function kq(e,t){let n=e.name,s=n.charAt(0).toUpperCase()+n.slice(1),r="get"+s+"AtOutCoords",a=e.shapeInfo.logicalShape.length,o=t.logicalShape.length,i=m6(e.shapeInfo.logicalShape,t.logicalShape),l=ct(o),u=o-a,c,d=["x","y","z","w","u","v"];a===0?c="":o<2&&i.length>=1?c="coords = 0;":c=i.map(y=>`coords.${d[y+u]} = 0;`).join(`
`);let h="";o<2&&a>0?h="coords":h=e.shapeInfo.logicalShape.map((y,x)=>`coords.${d[x+u]}`).join(", ");let p="return outputValue;",m=I.sizeFromShape(e.shapeInfo.logicalShape)===1,g=I.sizeFromShape(t.logicalShape)===1;if(a===1&&!m&&!g)p=`
return vec4(outputValue.xy, outputValue.xy);
`;else if(m&&!g)o===1?p=`
return vec4(outputValue.x, outputValue.x, 0., 0.);
`:p=`
return vec4(outputValue.x);
`;else if(i.length){let y=a-2,x=a-1;i.indexOf(y)>-1&&i.indexOf(x)>-1?p="return vec4(outputValue.x);":i.indexOf(y)>-1?p="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":i.indexOf(x)>-1&&(p="return vec4(outputValue.xx, outputValue.zz);")}return`
vec4 ${r}() {
${l} coords = getOutputCoords();
${c}
vec4 outputValue = get${s}(${h});
${p}
}
`}function Iq(e,t){let n=e.name,s=n.charAt(0).toUpperCase()+n.slice(1),r="get"+s+"AtOutCoords",a=t.texShape,o=e.shapeInfo.texShape,i=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&i===l&&e.shapeInfo.flatOffset==null&&I.arraysEqual(o,a))return`
float ${r}() {
return sampleTexture(${n}, resultUV);
}
`;let u=ct(l),c=m6(e.shapeInfo.logicalShape,t.logicalShape),d=l-i,h,p=["x","y","z","w","u","v"];i===0?h="":l<2&&c.length>=1?h="coords = 0;":h=c.map(m=>`coords.${p[m+d]} = 0;`).join(`
`);let f="";return l<2&&i>0?f="coords":f=e.shapeInfo.logicalShape.map((m,A)=>`coords.${p[A+d]}`).join(", "),`
float ${r}() {
${u} coords = getOutputCoords();
${h}
return get${s}(${f});
}
`}function ct(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 ${e} is not yet supported`)}function I1(e,t,n){let{newShape:s}=I.squeezeShape(t),r=t.length,a=e&&r===3&&t[0]===1,o=a?t.slice(1):s,i=!e&&r>1&&!I.arraysEqual(t,n)&&s.length<r||a;return{useSqueezeShape:i,uniformShape:i?o:t}}function Kl(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function Zl(e,t){return t.map(n=>e[n]).join(", ")}function Sq(e,t,n,s){let r=n.map((x,b)=>{let v={logicalShape:x.shape,texShape:x.isUniform?null:x.texData.texShape,isUniform:x.isUniform,isPacked:x.isUniform?!1:x.texData.isPacked,flatOffset:null};return x.texData!=null&&x.texData.slice!=null&&x.texData.slice.flatOffset>0&&(v.flatOffset=x.texData.slice.flatOffset),{name:t.variableNames[b],shapeInfo:v}}),a=r.map(x=>x.shapeInfo),o={logicalShape:s.shape,texShape:s.texData.texShape,isUniform:!1,isPacked:s.texData.isPacked,flatOffset:null},i=Uj(r,o,t),l=e.createProgram(i),u=null,c=e.getUniformLocation(l,"NAN",!1);ee().getNumber("WEBGL_VERSION")===1&&(u=e.getUniformLocation(l,"INFINITY",!1));let d=!1,h={},p={},f={};for(let x=0;x<t.variableNames.length;x++){let b=t.variableNames[x];h[b]=e.getUniformLocation(l,b,d),h[`offset${b}`]=e.getUniformLocation(l,`offset${b}`,d),t.enableShapeUniforms&&(p[`${b}Shape`]=e.getUniformLocation(l,`${b}Shape`,d),f[`${b}TexShape`]=e.getUniformLocation(l,`${b}TexShape`,d))}let m,A,g;t.enableShapeUniforms&&(m=e.getUniformLocation(l,"outShape",d),g=e.getUniformLocation(l,"outShapeStrides",d),A=e.getUniformLocation(l,"outTexShape",d));let y=[];return t.customUniforms&&t.customUniforms.forEach((x,b)=>{y[b]=e.getUniformLocation(l,x.name,d)}),{program:t,source:i,webGLProgram:l,uniformLocations:h,customUniformLocations:y,inShapeInfos:a,outShapeInfo:o,infLoc:u,nanLoc:c,inShapesLocations:p,inTexShapesLocations:f,outShapeLocation:m,outShapeStridesLocation:g,outTexShapeLocation:A}}function y6(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,s)=>{let r=n.logicalShape,a=t[s],o=a.shape;if(!I.arraysEqual(r,o))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${o} must match`);if(n.isUniform&&a.isUniform)return;let i=n.texShape,l=a.isUniform?null:a.texData.texShape;if(!I.arraysEqual(i,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${i} and ${l} must match`)})}function Cq(e,t,n,s,r){t.program.enableShapeUniforms||(y6(t.inShapeInfos,n),y6([t.outShapeInfo],[s]));let a=s.texData.texture,o=s.texData.texShape;s.texData.isPacked?e.setOutputPackedMatrixTexture(a,o[0],o[1]):e.setOutputMatrixTexture(a,o[0],o[1]),e.setProgram(t.webGLProgram),ee().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((l,u)=>{let c=t.program.variableNames[u],d=t.uniformLocations[c],h=t.uniformLocations[`offset${c}`],p=t.inShapesLocations[`${c}Shape`],f=t.inTexShapesLocations[`${c}TexShape`];if(p){let{uniformShape:m}=I1(t.program.packedInputs,l.shape,l.texData.texShape);switch(m.length){case 1:e.gl.uniform1iv(p,new Int32Array(m));break;case 2:e.gl.uniform2iv(p,new Int32Array(m));break;case 3:e.gl.uniform3iv(p,new Int32Array(m));break;case 4:e.gl.uniform4iv(p,new Int32Array(m));break;default:break}}if(f&&e.gl.uniform2i(f,l.texData.texShape[0],l.texData.texShape[1]),d!=null){if(l.isUniform){if(I.sizeFromShape(l.shape)<2)e.gl.uniform1f(d,l.uniformValues[0]);else{let m=l.uniformValues;m instanceof Float32Array||(m=new Float32Array(m)),e.gl.uniform1fv(d,m)}return}l.texData.slice!=null&&h!=null&&e.gl.uniform1i(h,l.texData.slice.flatOffset),e.setInputMatrixTexture(l.texData.texture,d,u)}});let i=t.outShapeLocation;if(i)switch(s.shape.length){case 1:e.gl.uniform1iv(i,new Int32Array(s.shape));break;case 2:e.gl.uniform2iv(i,new Int32Array(s.shape));break;case 3:e.gl.uniform3iv(i,new Int32Array(s.shape));break;case
void main() {
setOutput(vec4(getA(), 0., 0., 0.));
}
`;else{let n=vn("rc",t),s=ct(t),r=pX(t,e,n),a=fX(t,e[e.length-1],e[e.length-2],n),o=mX(e,n);this.userCode=`
void main() {
${s} rc = getOutputCoords();
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if(${r}) {
setOutput(vec4(0));
} else {
${a}
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setOutput(vec4(${o}));
}
}
`}}};function hX(e,t){let n=[];for(let s=0;s<=1;s++)for(let r=0;r<=1;r++){let a=`${s===0?"r":"rp1"}, ${r===0?"c":"cp1"}`;for(let o=2;o<e;o++)a=`${t[t.length-1-o]},`+a;n.push(a)}return n}function pX(e,t,n){if(e===1)return`rc > ${t[0]}`;let s="";for(let r=e-2;r<e;r++)s+=`${n[r]} >= ${t[r]}`,r<e-1&&(s+="||");return s}function fX(e,t,n,s){if(e===1)return"";let r=s.slice(-2);return`
int r = ${r[0]};
int c = ${r[1]};
int rp1 = r + 1;
int cp1 = c + 1;
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bool cEdge = cp1 >= ${t};
bool rEdge = rp1 >= ${n};
`}function mX(e,t){let n=e.length,s=hX(n,t);return n===1?`getA(rc),
rc + 1 >= ${e[0]} ? 0. : getA(rc + 1),
0, 0`:`getA(${s[0]}),
cEdge ? 0. : getA(${s[1]}),
rEdge ? 0. : getA(${s[2]}),
rEdge || cEdge ? 0. : getA(${s[3]})`}var k6=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let s=0;s<4;s++){let r="thisRC = rc;";s%2==1&&(r+="thisRC.z += 1;"),s>1&&(r+="thisRC.y += 1;"),n+=`
${r}
${s>0?"if(thisRC.y < rows && thisRC.z < cols){":""}
int flatIndex = getFlatIndex(thisRC);
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ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);
vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));
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result[${s}] =
getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
${s>0?"}":""}
`}this.userCode=`
${AX(t)}
${y1(e)}
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void main() {
ivec3 rc = getOutputCoords();
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vec4 result = vec4(0.);
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ivec3 thisRC;
int rows = ${e[1]};
int cols = ${e[2]};
${n}
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setOutput(result);
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}
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`}};function AX(e){return`
ivec3 inputCoordsFromReshapedOutCoords(int index) {
${Uo(["r","c","d"],e)}
return ivec3(r, c, d);
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}
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`}var gX=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let s=S6(t,n),r=C6(e,s,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let a=I6(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=a,this.log();let i=this.freeTextures[r].shift();return this.usedTextures[r].push(i),i}let o;return s===sn.PACKED_2X2_FLOAT32?o=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):s===sn.PACKED_2X2_FLOAT16?o=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):s===sn.UNPACKED_FLOAT32?o=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):s===sn.UNPACKED_FLOAT16?o=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):s===sn.PACKED_4X1_UNSIGNED_BYTE&&(o=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(o),this.numUsedTextures++,this._numBytesAllocated+=a,this.log(),o}releaseTexture(e,t,n,s){if(this.freeTextures==null)return;let r=S6(n,s),a=C6(t,r,s);a in this.freeTextures||(this.freeTextures[a]=[]);let o=I6(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,s),i=ee().get("WEBGL_DELETE_TEXTURE_THRESHOLD");i!==-1&&this._numBytesAllocated>i?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=o):(this.freeTextures[a].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;let l=this.usedTextures[a],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${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 yX(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error(`Unknown internal format ${t}`)}function I6(e,t,n,s,r){let a=xX(t,s),o;if(r){let[l,u]=Gl(e[0],e[1]);o=l*u}else{let[l,u]=Mc(e[0],e[1]);o=l*u}let i=yX(n,a);return o*i}function xX(e,t){switch(e){case sn.PACKED_2X2_FLOAT32:return w1(t);case sn.PACKED_2X2_FLOAT16:return k1(t);case sn.UNPACKED_FLOAT32:return x1(t);case sn.UNPACKED_FLOAT16:return b1(t);case sn.PACKED_4X1_UNSIGNED_BYTE:return v1(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function bX(e){return ee().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?sn.PACKED_2X2_FLOAT32:sn.UNPACKED_FLOAT32:e?sn.PACKED_2X2_FLOAT16:sn.UNPACKED_FLOAT16}function S6(e,t){if(e===fs.UPLOAD)return sn.PACKED_2X2_FLOAT32;if(e===fs.RENDER||e==null)return bX(t);if(e===fs.DOWNLOAD||e===fs.PIXELS)return sn.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function C6(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}var sa=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=cf(this.outputShape.length),this.userCode=`
float unaryOperation(float x) {
${t}
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}
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void main() {
float x = getAAtOutCoords();
float y = unaryOperation(x);
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setOutput(y);
}
`}},Bs="if (isnan(x)) return x;",vX="return x;",T6="return abs(x);",wX="return (x >= 0.0) ? x : (exp(x) - 1.0);",kX=Bs+`
return (x < 0.0) ? 0.0 : x;
`,IX=Bs+`
return (x < 0.0) ? 0.0 : min(6.0, x);
`,df="return x;",SX="return 1.0 / (1.0 + exp(-1.0 * x));",CX="return x;",TX=`
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;
`,NX=`
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;
`,EX=`
vec4 result = min(x, vec4(6.)) * 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;
`,RX="return 1.0 / (1.0 + exp(-1.0 * x));",Yl=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=cf(this.outputShape.length),this.userCode=`
vec4 unaryOperation(vec4 x) {
${t}
}
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void main() {
vec4 x = getAAtOutCoords();
vec4 y = unaryOperation(x);
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setOutput(y);
}
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`}},_X=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=vn("rc",t),s=ct(t),r=cX(t,n),a=n.slice(-2),o=t<=1?"rc":`vec2(${a.join(",")})`;this.userCode=`
void main() {
${s} rc = getOutputCoords();
vec4 packedInput = getA(${r});
setOutput(getChannel(packedInput, ${o}));
}
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`}},$X=Js.whereImpl,FX=1e-7,DX=1e-4,hf={};function OX(e){return e in hf||(hf[e]={}),hf[e]}var PX=ee().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),MX=600;function zX(){return ee().global.screen==null?1024:ee().global.screen.height*ee().global.screen.width*window.devicePixelRatio*MX/1024/1024}var Jl=class extends ku{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.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!ee().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=ar(ee().getNumber("WEBGL_VERSION"));this.binaryCache=OX(ee().getNumber("WEBGL_VERSION")),this.gpgpu=new uf(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 gX(this.gpgpu),this.numMBBeforeWarning=zX(),this.texData=new Fd(this,Ar())}nextDataId(){return Jl.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(e,t,n){if((ee().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||ee().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 s={id:this.nextDataId()};return this.texData.set(s,{shape:t,dtype:n,values:e,usage:fs.UPLOAD,refCount:1}),s}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}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--}}move(e,t,n,s,r){if(ee().getBool("DEBUG")&&this.checkNumericalProblems(t),s==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:s,values:t,usage:fs.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:s,complexTensorInfos:r,slice:a,shape:o,isPacked:i}=t;if(a!=null){let d;i?d=new Yl(o,df):d=new sa(o,df);let h=this.runWebGLProgram(d,[{dataId:e,shape:o,dtype:s}],s),p=this.readSync(h.dataId);return this.disposeIntermediateTensorInfo(h),p}if(n!=null)return this.convertAndCacheOnCPU(e);if(s==="string")return n;let l=this.activeTimers!=null,u;l&&(u=I.now());let c;if(s==="complex64"){let d=this.readSync(r.real.dataId),h=this.readSync(r.imag.dataId);c=$.mergeRealAndImagArrays(d,h)}else c=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=I.now()-u),this.convertAndCacheOnCPU(e,c)}async read(e){if(this.pendingRead.has(e)){let p=this.pendingRead.get(e);return new Promise(f=>p.push(f))}let t=this.texData.get(e),{values:n,shape:s,slice:r,dtype:a,complexTensorInfos:o,isPacked:i}=t;if(r!=null){let p;i?p=new Yl(s,df):p=new sa(s,df);let f=this.runWebGLProgram(p,[{dataId:e,shape:s,dtype:a}],a),m=this.read(f.dataId);return this.disposeIntermediateTensorInfo(f),m}if(n!=null)return this.convertAndCacheOnCPU(e);if(!ee().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&ee().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(a!=="complex64"&&ee().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let p=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(p.texture,...zc(s))}this.pendingRead.set(e,[]),a!=="complex64"&&await this.gpgpu.createAndWaitForFence();let c;if(a==="complex64"){let p=await Promise.all([this.read(o.real.dataId),this.read(o.imag.dataId)]),f=p[0],m=p[1];c=$.mergeRealAndImagArrays(f,m)}else if(l==null)c=this.getValuesFromTexture(e);else{let p=I.sizeFromShape(s);c=this.gpgpu.downloadFloat32MatrixFromBuffer(l,p)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){let p=this.gpgpu.gl;be(p,()=>p.deleteBuffer(l))}let d=this.convertAndCacheOnCPU(e,c),h=this.pendingRead.get(e);return this.pendingRead.delete(e),h.forEach(p=>p(d)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(
if (isnan(a)) return a;
if (isnan(b)) return b;
`,Ql=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=$.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=cf(this.outputShape.length),this.userCode=`
float binaryOperation(float a, float b) {
${e}
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}
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void main() {
float a = getAAtOutCoords();
float b = getBAtOutCoords();
setOutput(binaryOperation(a, b));
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}
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`}},pf=`
result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
`,Uc=class{constructor(e,t,n,s=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=$.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=cf(r);let a="";if(s)if(r===0||I.sizeFromShape(this.outputShape)===1)a=`
result.y = 0.;
result.z = 0.;
result.w = 0.;
`;else if(a=`
${ct(r)} coords = getOutputCoords();
`,r===1)this.enableShapeUniforms?a+=`
result.y = (coords + 1) >= outShape ? 0. : result.y;
result.z = 0.;
result.w = 0.;
`:a+=`
result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;
result.z = 0.;
result.w = 0.;
`;else{let i=vn("coords",r);this.enableShapeUniforms?a+=`
bool nextRowOutOfBounds =
(${i[r-2]} + 1) >= outShape[${r} - 2];
bool nextColOutOfBounds =
(${i[r-1]} + 1) >= outShape[${r} - 1];
result.y = nextColOutOfBounds ? 0. : result.y;
result.z = nextRowOutOfBounds ? 0. : result.z;
result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
`:a+=`
bool nextRowOutOfBounds =
(${i[r-2]} + 1) >= ${this.outputShape[r-2]};
bool nextColOutOfBounds =
(${i[r-1]} + 1) >= ${this.outputShape[r-1]};
result.y = nextColOutOfBounds ? 0. : result.y;
result.z = nextRowOutOfBounds ? 0. : result.z;
result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
`}this.userCode=`
vec4 binaryOperation(vec4 a, vec4 b) {
${e}
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}
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void main() {
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vec4 a = getAAtOutCoords();
vec4 b = getBAtOutCoords();
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vec4 result = binaryOperation(a, b);
${a}
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setOutput(result);
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}
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`}};function qn(e){let{inputs:t,backend:n}=e,{x:s}=t;return n.incRef(s.dataId),{dataId:s.dataId,shape:s.shape,dtype:s.dtype}}var VX={kernelName:Oa,backendName:"webgl",kernelFunc:qn};function ra(e){let{inputs:t,backend:n}=e,{real:s,imag:r}=t,a=n.makeTensorInfo(s.shape,"complex64"),o=n.texData.get(a.dataId),i=qn({inputs:{x:s},backend:n}),l=qn({inputs:{x:r},backend:n});return o.complexTensorInfos={real:i,imag:l},a}var UX={kernelName:Wd,backendName:"webgl",kernelFunc:ra},R6="return (a < 0.) ? b * a : a;",_6=`
vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
`;function HX(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{alpha:a}=s,o=n.makeTensorInfo([],"float32",I.createScalarValue(a,"float32")),i=ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Uc(_6,r.shape,o.shape):new Ql(R6,r.shape,o.shape),l=n.runWebGLProgram(i,[r,o],r.dtype);return n.disposeIntermediateTensorInfo(o),l}var GX={kernelName:Pa,backendName:"webgl",kernelFunc:HX},$6="return (a < 0.) ? b * a : a;",F6=`
vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
`;function jX(e){let{inputs:t,backend:n}=e,{x:s,alpha:r}=t,a=ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Uc(F6,s.shape,r.shape):new Ql($6,s.shape,r.shape);return n.runWebGLProgram(a,[s,r],s.dtype)}var qX={kernelName:Ka,backendName:"webgl",kernelFunc:jX},D6="if (isnan(x)) return x;",XX=`
if (isnan(a)) return a;
if (isnan(b)) return b;
`,KX=`
result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
`;function Ze({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:s}){return({inputs:r,backend:a})=>{let{x:o}=r,i=a,l=s||o.dtype;if(i.shouldExecuteOnCPU([o])&&n!=null){let d=i.texData.get(o.dataId),h=n(d.values,l);return i.makeTensorInfo(o.shape,l,h)}let u=ee().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,c;return u?c=new Yl(o.shape,t):c=new sa(o.shape,e),i.runWebGLProgram(c,[o],l)}}function rn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:s=!1,cpuKernelImpl:r,dtype:a}){return({inputs:o,backend:i})=>{let{a:l,b:u}=o,c=i;if(s&&l.dtype==="complex64"){let f=c.texData.get(l.dataId),m=c.texData.get(u.dataId),[A,g]=[[f.complexTensorInfos.real,m.complexTensorInfos.real],[f.complexTensorInfos.imag,m.complexTensorInfos.imag]].map(x=>{let[b,v]=x,k={dataId:b.dataId,dtype:b.dtype,shape:l.shape},w={dataId:v.dataId,dtype:v.dtype,shape:u.shape},C=new Ql(e,l.shape,u.shape);return c.runWebGLProgram(C,[k,w],bs(b.dtype,v.dtype))}),y=ra({inputs:{real:A,imag:g},backend:c});return c.disposeIntermediateTensorInfo(A),c.disposeIntermediateTensorInfo(g),y}let d=a||bs(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||c.shouldExecuteOnCPU([l,u]))&&r!=null){let f=c.texData.get(l.dataId).values,m=c.texData.get(u.dataId).values,A=l.dtype==="string"?$.fromUint8ToStringArray(f):f,g=l.dtype==="string"?$.fromUint8ToStringArray(m):m,[y,x]=r(l.shape,u.shape,A,g,d),b=c.makeTensorInfo(x,d),v=c.texData.get(b.dataId);return v.values=y,b}let h=ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,p;return h?p=new Uc(t,l.shape,u.shape,n):p=new Ql(e,l.shape,u.shape),c.runWebGLProgram(p,[l,u],d)}}function ff(e,t=!1){if(e==="linear")return t?CX:vX;if(e==="relu")return t?NX:kX;if(e==="elu")return t?TX:wX;if(e==="relu6")return t?EX:IX;if(e==="prelu")return t?F6:$6;if(e==="leakyrelu")return t?_6:R6;if(e==="sigmoid")return t?RX:SX;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var O6=class{constructor(e,t,n,s=!1,r=!1,a=!1,o=null,i=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n;let u=s?e[1]:e[2],c=Math.ceil(u/2),d=s?"i * 2, rc.y":"rc.y, i * 2",h=r?"rc.z, i * 2":"i * 2, rc.z",p=s?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",A="";o&&(i?m=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
${o}
}`:l?m=`vec4 activation(vec4 a) {
vec4 b = getLeakyreluAlphaAtOutCoords();
${o}
}`:m=`vec4 activation(vec4 x) {
${o}
}`,A="result = activation(result);");let g=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let y="rc.x",x="rc.x";e[0]<t[0]?y=`int(min(float(rc.x), ${e[0]-1}.))`:t[0]<e[0]&&(x=`int(min(float(rc.x), ${t[0]-1}.))`),this.userCode=`
${m}
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const float sharedDimension = ${c}.0;
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vec4 dot2x2ARowBCol(ivec3 rc) {
vec4 result = vec4(0);
for (int i = 0; i < ${c}; i++) {
int batchA = ${y};
int batchB = ${x};
vec4 a = getMatrixA(batchA, ${d});
vec4 b = getMatrixB(batchB, ${h});
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// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
result += (${p[0]} * ${f[0]});
result += (${p[1]} * ${f[1]});
}
return result;
}
void main() {
ivec3 rc = getOutputCoords();
vec4 result = dot2x2ARowBCol(rc);
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${g}
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${A}
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setOutput(result);
}
`}},P6={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},M6=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=$.assertAndGetBroadcastShape(t,n),this.userCode=`
float binaryOpComplex(
float areal, float aimag, float breal, float bimag) {
${e}
}
void main() {
float areal = getARealAtOutCoords();
float aimag = getAImagAtOutCoords();
float breal = getBRealAtOutCoords();
float bimag = getBImagAtOutCoords();
setOutput(binaryOpComplex(areal, aimag, breal, bimag));
}
`}},z6="return a * b;";function C1(e){let{inputs:t,backend:n}=e,{a:s,b:r}=t,a=$.upcastType(s.dtype,r.dtype);if(s.dtype==="complex64"){let i=n.texData.get(s.dataId),l=n.texData.get(r.dataId),u=new M6(P6.REAL,s.shape,r.shape),c=new M6(P6.IMAG,s.shape,r.shape),d=[{dataId:i.complexTensorInfos.real.dataId,dtype:i.complexTensorInfos.real.dtype,shape:s.shape},{dataId:i.complexTensorInfos.imag.dataId,dtype:i.complexTensorInfos.imag.dtype,shape:s.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],h=n.runWebGLProgram(u,d,"float32"),p=n.runWebGLProgram(c,d,"float32"),f=ra({inputs:{real:h,imag:p},backend:n});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),f}if(n.shouldExecuteOnCPU([s,r])){let i=n.texData.get(s.dataId),l=n.texData.get(r.dataId),[u,c]=qq(s.shape,r.shape,i.values,l.values,a),d=n.makeTensorInfo(c,a),h=n.texData.get(d.dataId);return h.values=u,d}let o;return ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")?o=new Uc(z6,s.shape,r.shape):o=new Ql(z6,s.shape,r.shape),n.runWebGLProgram(o,[s,r],a)}var ZX={kernelName:Ga,backendName:"webgl",kernelFunc:C1};function YX(e,t,n){let s=[Wo(e.shape),...Vo(e.shape)],r={dtype:e.dtype,shape:s,dataId:e.dataId},a=[Wo(t),...Vo(t)],o=new k6(a,s),i=!0,l=n.runWebGLProgram(o,[r],e.dtype,null,i);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function ye(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{shape:a}=s,o=n,i=I.sizeFromShape(r.shape),l=I.inferFromImplicitShape(a,i),u=I.sizeFromShape(l);I.assert(i===u,()=>`The new shape (${l}) has ${u} elements and the old shape (${r.shape}) has ${i} elements. The new shape and old shape must have the same number of elements.`);let c=o.texData.get(r.dataId);return c.isPacked&&!Wc(r.shape,l)&&!(c.texture!==null&&Wc(c.shape,l))?YX(r,l,o):(o.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var JX={kernelName:Yi,backendName:"webgl",kernelFunc:ye},L6=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:s,inSize:r,outSize:a}=e;this.outputShape=[s,a];let o=Math.floor(n/4)*4,i=n%4,l="sumValue += dot(values, ones);";if(t!=null){let c=1/t;l=`sumValue += dot(values * ${I.isInt(c)?c.toPrecision(2):c}, ones);`}let u="";r%n>0&&(u=`
if (inIdx < 0 || inIdx >= ${r}) {
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);
float getValue(int batch, int inIdx) {
${u}
return getX(batch, inIdx);
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}
void main() {
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ivec2 coords = getOutputCoords();
int batch = coords[0];
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int outIdx = coords[1];
int inOffset = outIdx * ${n};
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float sumValue = 0.0;
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for (int i = 0; i < ${o}; i += 4) {
int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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${l}
}
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int inIdx = inOffset + ${o};
if (${i===1}) {
vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);
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${l}
} else if (${i===2}) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1), 0.0, 0.0);
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${l}
} else if (${i===3}) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2), 0.0);
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${l}
}
setOutput(sumValue);
}
`}},QX=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:s,inSize:r,outSize:a}=e;this.outputShape=[s,a];let o="0.0",i="";t==="prod"?o="1.0":t==="min"?(o="1.0 / 1e-20",i="min"):t==="max"&&(o="-1.0 / 1e-20",i="max");let l=`${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 u=Math.floor(n/4)*4,c=n%4,d=`
if (${t==="sum"}) {
sumValue += dot(values, ones);
} else if (${t==="prod"}) {
vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);
prodValue *= tmp[0] * tmp[1];
} else {
minMaxValue = ${i}(values, minMaxValue);
if (${t==="min"} || ${t==="max"}) {
minMaxValue = ${i}(values, minMaxValue);
bvec4 isNaN = isnan(values);
if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {
minMaxValue = vec4(NAN);
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}
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}
}
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`,h="vec4";t==="all"?(o="1.0",d=`
bool reducedAllValue = all(values);
float floatedReducedAllValue = float(reducedAllValue);
allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
`,h="bvec4"):t==="any"&&(o="0.0",d=`
bool reducedAnyValue = any(values);
float floatedReducedAnyValue = float(reducedAnyValue);
anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
`,h="bvec4");let p="";r%n>0&&(p=`
if (inIdx < 0 || inIdx >= ${r}) {
return initializationValue;
}
`),this.userCode=`
const float initializationValue = ${o};
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float getValue(int batch, int inIdx) {
${p}
return getX(batch, inIdx);
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}
void main() {
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ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * ${n};
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vec4 minMaxValue = vec4(${o});
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 < ${u}; i += 4) {
int inIdx = inOffset + i;
${h} values = ${h}(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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${d}
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}
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int inIdx = inOffset + ${u};
if (${c===1}) {
${h} values = ${h}(
getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
${d}
} else if (${c===2}) {
${h} values = ${h}(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
${d}
} else if (${c===3}) {
${h} values = ${h}(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
${d}
}
setOutput(${l});
}
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`}};function eK(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],s=$.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:s,outSize:Math.ceil(n/s)})}return t}function Go(e,t,n,s){let r=eK(e.shape),a=e;for(let o=0;o<r.length;o++){let{inSize:i,windowSize:l,outSize:u}=r[o],c,d;n==="mean"?c=o===0?new L6({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u},i):new L6({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u}):c=new QX({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u},n),d=a,a=s.runWebGLProgram(c,[a],t),d.dataId!==e.dataId&&s.disposeIntermediateTensorInfo(d)}return a}var tK=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let a=0;a<n.length;a++)n[a]=e[t[a]];this.outputShape=n,this.rank=n.length;let s=ct(this.rank),r=nK(t);this.userCode=`
void main() {
${s} resRC = getOutputCoords();
setOutput(getA(${r}));
}
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`}};function nK(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"],s=new Array(t);for(let r=0;r<e.length;r++)s[e[r]]=n[r];return s.join()}var sK=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(e.length);for(let u=0;u<n.length;u++)n[u]=e[t[u]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let s=ct(this.rank),r=w6("rc",this.rank),a=new Array(this.rank);for(let u=0;u<t.length;u++)a[t[u]]=r[u];let o=`vec2(${a.slice(-2).join()})`,i=`++${r[this.rank-1]} < ${n[this.rank-1]}`,l=`getChannel(getA(${a.join()}), ${o})`;this.userCode=`
void main() {
${s} rc = getOutputCoords();
vec4 result = vec4(0.);
result[0] = ${l};
if(${i}) {
result[1] = ${l};
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}
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--${r[this.rank-1]};
if(++${r[this.rank-2]} < ${n[this.rank-2]}) {
result[2] = ${l};
if(${i}) {
result[3] = ${l};
}
}
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setOutput(result);
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}
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`}};function mf(e,t,n){let s=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new sK(e.shape,t):new tK(e.shape,t);return n.runWebGLProgram(s,[e],e.dtype)}function rK(e,t,n,s){let r=t,a=e.shape.length,o=I.parseAxisParam(r,e.shape),i=o,l=$.getAxesPermutation(i,a),u=l!=null,c=e;u&&(c=mf(e,l,s),i=$.getInnerMostAxes(i.length,a)),$.assertAxesAreInnerMostDims("sum",i,a);let[d,h]=$.computeOutAndReduceShapes(c.shape,i),p=d;n&&(p=$.expandShapeToKeepDim(d,o));let f=I.sizeFromShape(h),A=I.sizeFromShape(e.shape)/f,g=ye({inputs:{x:c},attrs:{shape:[A,f]},backend:s}),y=Ch(e.dtype),x=Go(g,y,"sum",s),b=ye({inputs:{x},attrs:{shape:p},backend:s});return s.disposeIntermediateTensorInfo(g),s.disposeIntermediateTensorInfo(x),u&&s.disposeIntermediateTensorInfo(c),b}function Af(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s;return rK(r,a,o,n)}var aK={kernelName:ao,backendName:"webgl",kernelFunc:Af};function wn(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{perm:a}=s,o=n,i=r.shape.length,l=new Array(i);for(let c=0;c<l.length;c++)l[c]=r.shape[a[c]];let u;if(o.shouldExecuteOnCPU([r])){let d=o.texData.get(r.dataId).values,h=S1(d,r.shape,r.dtype,a,l);u=o.makeTensorInfo(l,r.dtype);let p=o.texData.get(u.dataId);p.values=h}else u=mf(r,a,o);return u}var oK={kernelName:ho,backendName:"webgl",kernelFunc:wn},B6=1e3;function gf({a:e,b:t,transposeA:n,transposeB:s,backend:r,bias:a=null,preluActivationWeights:o=null,leakyreluAlpha:i=0,activation:l=null}){let u=e.shape.length,c=t.shape.length,d=n?e.shape[u-2]:e.shape[u-1],h=s?t.shape[c-1]:t.shape[c-2],p=n?e.shape[u-1]:e.shape[u-2],f=s?t.shape[c-2]:t.shape[c-1],m=e.shape.slice(0,-2),A=t.shape.slice(0,-2),g=I.sizeFromShape(m),y=I.sizeFromShape(A),x=g===y||g===1||y===1;I.assert(u>=2&&c>=2&&x,()=>`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 v=(g>y?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([p,f]);I.assert(d===h,()=>`Error in matMul: inner shapes (${d}) and (${h}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${s} must match.`);let k=n?[g,d,p]:[g,p,d],w=s?[y,f,h]:[y,h,f],C=ye({inputs:{x:e},backend:r,attrs:{shape:k}}),E=ye({inputs:{x:t},backend:r,attrs:{shape:w}}),O=[C,E],R=Math.max(g,y),_=n?C.shape[1]:C.shape[2],N=a!=null,P=o!=null,W=l==="leakyrelu",j=l!=null?ff(l,!0):null,q=N||P||W||j!=null,X;if((p===1||f===1)&&_>B6&&q===!1){let ne=C,te=E;n&&(ne=wn({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),O.push(ne)),s&&(te=wn({inputs:{x:E},backend:r,attrs:{perm:[0,2,1]}}),O.push(te));let se=f!==1,J=f===1,ie=ne;se&&(ie=ye({inputs:{x:ne},backend:r,attrs:{shape:[R,_,1]}}),O.push(ie));let le=f===1?2:1,he=te;J&&(he=ye({inputs:{x:te},backend:r,attrs:{shape:[R,1,_]}}),O.push(he));let ge=C1({inputs:{a:ie,b:he},backend:r});X=Af({inputs:{x:ge},backend:r,attrs:{axis:le,keepDims:!0}}),O.push(ge)}else{let ne=bs(e.dtype,t.dtype),te=new O6(k,w,[R,p,f],n,s,N,j,P,W),se=[C,E];if(a!=null&&se.push(a),P&&se.push(o),W){let J=r.makeTensorInfo([],"float32",I.createScalarValue(i,"float32"));se.push(J),O.push(J)}X=r.runWebGLProgram(te,se,ne)}let Q=ye({inputs:{x:X},backend:r,attrs:{shape:v}});O.push(X);for(let ne of O)r.disposeIntermediateTensorInfo(ne);return Q}function iK(e){let{inputs:t,backend:n,attrs:s}=e,{a:r,b:a,bias:o,preluActivationWeights:i}=t,{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:d}=s;return gf({a:r,b:a,transposeA:l,transposeB:u,backend:n,bias:o,preluActivationWeights:i,leakyreluAlpha:d,activation:c})}var lK={kernelName:po,backendName:"webgl",kernelFunc:iK},W6="return abs(x);";function uK(e){let{inputs:t,backend:n}=e,{x:s}=t;if(n.shouldExecuteOnCPU([s])&&s.dtype!=="complex64"){let a=n.texData.get(s.dataId),o=b6(a.values);return n.makeTensorInfo(s.shape,s.dtype,o)}let r;return ee().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Yl(s.shape,W6):r=new sa(s.shape,W6),n.runWebGLProgram(r,[s],s.dtype)}var cK={kernelName:di,backendName:"webgl",kernelFunc:uK},dK=Bs+`
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if (abs(x) > 1.) {
return NAN;
}
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return acos(x);
`,hK=Ze({opSnippet:dK}),pK={kernelName:hi,backendName:"webgl",kernelFunc:hK},fK=Bs+`
if (x < 1.0) return NAN;
return log(x + sqrt(x * x - 1.0));`,mK=Ze({opSnippet:fK}),AK={kernelName:pi,backendName:"webgl",kernelFunc:mK},V6="return a + b;",gK=rn({opSnippet:V6,packedOpSnippet:V6,supportsComplex:!0,cpuKernelImpl:Nq}),yK={kernelName:Dr,backendName:"webgl",kernelFunc:gK},xK=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,a)=>`T${a}`);let n=[];this.variableNames.forEach(r=>{n.push(`float v${r} = get${r}AtOutCoords();`)});let s=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=`
void main() {
${n.join(`
`)}
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float result = ${s};
setOutput(result);
}
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`}},bK=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,a)=>`T${a}`);let n=[];this.variableNames.forEach(r=>{n.push(`vec4 v${r} = get${r}AtOutCoords();`)});let s=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=`
void main() {
${n.join(`
`)}
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vec4 result = ${s};
setOutput(result);
}
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`}};function yf(e){let{inputs:t,backend:n}=e,s=t;if(s.length===1)return qn({inputs:{x:s[0]},backend:n});if(s.length>ee().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let l=Math.floor(s.length/2),u=yf({inputs:s.slice(0,l),backend:n}),c=yf({inputs:s.slice(l),backend:n});return yf({inputs:[u,c],backend:n})}let r=s.map(l=>l.dtype).reduce((l,u)=>bs(l,u)),a=s.map(l=>l.shape),i=ee().getBool("WEBGL_PACK")?new bK(s[0].shape,a):new xK(s[0].shape,a);return n.runWebGLProgram(i,s,r)}var vK={kernelName:ga,backendName:"webgl",kernelFunc:yf};function wK(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=I.parseAxisParam(a,r.shape),u=l,c=$.getAxesPermutation(u,i),d=r;c!=null&&(d=wn({inputs:{x:r},backend:n,attrs:{perm:c}}),u=$.getInnerMostAxes(u.length,i)),$.assertAxesAreInnerMostDims("all",u,i);let[h,p]=$.computeOutAndReduceShapes(d.shape,u),f=I.sizeFromShape(p),m=ye({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),A=Go(m,m.dtype,"all",n),g;if(o){let y=$.expandShapeToKeepDim(h,l);g=ye({inputs:{x:A},backend:n,attrs:{shape:y}})}else g=ye({inputs:{x:A},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(A),c!=null&&n.disposeIntermediateTensorInfo(d),g}var kK={kernelName:fi,backendName:"webgl",kernelFunc:wK};function IK(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=I.parseAxisParam(a,r.shape),u=l,c=$.getAxesPermutation(u,i),d=r;c!=null&&(d=wn({inputs:{x:r},backend:n,attrs:{perm:c}}),u=$.getInnerMostAxes(u.length,i)),$.assertAxesAreInnerMostDims("any",u,i);let[h,p]=$.computeOutAndReduceShapes(d.shape,u),f=I.sizeFromShape(p),m=ye({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),A=Go(m,m.dtype,"any",n),g;if(o){let y=$.expandShapeToKeepDim(h,l);g=ye({inputs:{x:A},backend:n,attrs:{shape:y}})}else g=ye({inputs:{x:A},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(A),c!=null&&n.disposeIntermediateTensorInfo(d),g}var SK={kernelName:mi,backendName:"webgl",kernelFunc:IK},CK=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:s,batchSize:r,outSize:a}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,a];let o=t==="max"?">":"<",i=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * ${s};
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int bestIndex = inOffset;
float bestValue = getA(batch, bestIndex);
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for (int i = 0; i < ${s}; i++) {
int inIdx = ${i};
float candidate = getA(batch, inIdx);
if (candidate ${o} bestValue) {
bestValue = candidate;
bestIndex = inIdx;
}
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}
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setOutput(float(bestIndex));
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}
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`}},TK=class{constructor(e,t,n,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,I.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let r=e[e.length-1],a=Math.ceil(r/t);this.outputShape=e.slice(0,-1),a>1&&this.outputShape.push(a),s||this.variableNames.push("bestIndicesA");let o=this.outputShape,i=o.length,l=ct(i),u=vn("coords",i),c,d;if(a===1){d=i+1;let w=ct(d);c=`
${w} sourceLocR = ${w}(${u.join()}, 0);
++${u[i-1]};
${w} sourceLocG = ${w}(${u.join()}, 0);
++${u[i-2]};
${w} sourceLocA = ${w}(${u.join()}, 0);
--${u[i-1]};
${w} sourceLocB = ${w}(${u.join()}, 0);
--${u[i-2]};`}else d=i,c=`
${l} sourceLocR = coords;
++${u[i-1]};
${l} sourceLocG = coords;
++${u[i-2]};
${l} sourceLocA = coords;
--${u[i-1]};
${l} sourceLocB = coords;
--${u[i-2]};`;let h=["x","y","z","w","u","v"].slice(0,d),p="."+h[d-1],f=h.map(w=>"int "+w),m=vn("sourceLocR",d-1).concat("inIdx.r"),A=vn("sourceLocG",d-1).concat("inIdx.g"),g=vn("sourceLocB",d-1).concat("inIdx.b"),y=vn("sourceLocA",d-1).concat("inIdx.a"),x=n==="max"?"greaterThan":"lessThan",b=s?"":`
inIdx = round(vec4(getBestIndicesAChannel(${m.join()}),
getBestIndicesAChannel(${A.join()}),
getBestIndicesAChannel(${g.join()}),
getBestIndicesAChannel(${y.join()})));`,v=`vec4(
getAChannel(${m.join()}),
hasNextCol ? getAChannel(${A.join()}) : 0.,
hasNextRow ? getAChannel(${g.join()}) : 0.,
hasNextRow && hasNextCol ? getAChannel(${y.join()}) : 0.)`,k=s?"":`
float getBestIndicesAChannel(${f.join()}) {
return getChannel(getBestIndicesA(${h.join()}),
vec2(${h.slice(-2).join()}));
}`;this.userCode=`
float getAChannel(${f.join()}) {
return getChannel(getA(${h.join()}),
vec2(${h.slice(-2).join()}));
}
${k}
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void main() {
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${l} coords = getOutputCoords();
bool hasNextCol = ${u[i-1]} < ${o[i-1]-1};
bool hasNextRow = ${u[i-2]} < ${o[i-2]-1};
${c}
ivec4 srcIdx = ivec4(sourceLocR${p}, sourceLocG${p},
sourceLocB${p}, sourceLocA${p}) * ${t};
ivec4 inIdx = srcIdx;
vec4 bestIndex = vec4(inIdx);
vec4 bestValue = ${v};
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for (int i = 0; i < ${t}; i++) {
inIdx = srcIdx;
${b}
vec4 candidate = ${v};
bvec4 nan = isnan(candidate);
bvec4 replace = bvec4(
vec4(${x}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));
bestValue = vec4(replace.x ? candidate.x : bestValue.x,
replace.y ? candidate.y : bestValue.y,
replace.z ? candidate.z : bestValue.z,
replace.w ? candidate.w : bestValue.w);
bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));
srcIdx++;
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}
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setOutput(bestIndex);
}
`}};function U6(e,t,n,s=null){let r=t.shape[0],a=t.shape[1];s!=null&&(r=s.shape[0],a=s.shape[1]);let o=$.computeOptimalWindowSize(a),i={windowSize:o,inSize:a,batchSize:r,outSize:Math.ceil(a/o)},l=new CK(i,n,s==null),u=[t];s!=null&&u.push(s);let c=e.runWebGLProgram(l,u,"int32");if(c.shape[1]===1)return c;let d=U6(e,t,n,c);return e.disposeIntermediateTensorInfo(c),d}function H6(e,t,n,s=null){let r=s!=null?s.shape:t.shape,a=r[r.length-1],o=$.computeOptimalWindowSize(a),i=new TK(r,o,n,s==null),l=s==null?[t]:[t,s],u=e.runWebGLProgram(i,l,"int32");if(u.shape.length===t.shape.length){let c=H6(e,t,n,u);return e.disposeIntermediateTensorInfo(u),c}return u}function G6(e,t,n,s){let r=[n];if($.assertAxesAreInnerMostDims("arg"+s.charAt(0).toUpperCase()+s.slice(1),r,t.shape.length),!ee().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let a=[],[o,i]=$.computeOutAndReduceShapes(t.shape,r),l=I.sizeFromShape(i),u=ye({inputs:{x:t},backend:e,attrs:{shape:[-1,l]}});a.push(u);let c=U6(e,u,s);a.push(c);let d=ye({inputs:{x:c},backend:e,attrs:{shape:o}});return a.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}return H6(e,t,s)}function NK(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a}=s,o=I.parseAxisParam(a,r.shape),i=$.getAxesPermutation(o,r.shape.length),l=r,u=[];i!=null&&(l=wn({inputs:{x:r},backend:n,attrs:{perm:i}}),u.push(l),o=$.getInnerMostAxes(o.length,l.shape.length)),$.assertAxesAreInnerMostDims("argMax",[o[0]],l.shape.length);let c=G6(n,l,o[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),c}var EK={kernelName:ya,backendName:"webgl",kernelFunc:NK};function RK(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a}=s,o=I.parseAxisParam(a,r.shape),i=$.getAxesPermutation(o,r.shape.length),l=r,u=[];i!=null&&(l=wn({inputs:{x:r},backend:n,attrs:{perm:i}}),u.push(l),o=$.getInnerMostAxes(o.length,l.shape.length)),$.assertAxesAreInnerMostDims("argMin",[o[0]],l.shape.length);let c=G6(n,l,o[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),c}var _K={kernelName:Cu,backendName:"webgl",kernelFunc:RK},$K=Bs+`
if (abs(x) > 1.) {
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return NAN;
}
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return asin(x);
`,FK=Ze({opSnippet:$K}),DK={kernelName:Ai,backendName:"webgl",kernelFunc:FK},OK=Bs+"return log(x + sqrt(x * x + 1.0));",PK=Ze({opSnippet:OK}),MK={kernelName:gi,backendName:"webgl",kernelFunc:PK},zK=Bs+`
return atan(x);
`,LK=Ze({opSnippet:zK}),BK={kernelName:yi,backendName:"webgl",kernelFunc:LK},WK=XX+`
return atan(a, b);
`,VK=`
vec4 result = atan(a, b);
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+KX+`
return result;
`,UK=rn({opSnippet:WK,packedOpSnippet:VK}),HK={kernelName:bi,backendName:"webgl",kernelFunc:UK},GK=Bs+`
if ((x < -1.0) || (x > 1.0)) return NAN;
return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,jK=Ze({opSnippet:GK}),qK={kernelName:xi,backendName:"webgl",kernelFunc:jK},Hc=class{constructor(e,t,n,s=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,o=e.strideHeight,i=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterHeight,d=e.effectiveFilterWidth,h=e.padInfo.top,p=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) * ${e.inChannels} + d`,g="0.0";if(f||(g="-1.0 / 1e-20"),n){let w=">=";this.userCode=`
const ivec2 strides = ivec2(${o}, ${i});
const ivec2 pads = ivec2(${h}, ${p});
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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 < ${c};
wR += ${l}) {
int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
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for (int wC = 0; wC < ${d};
wC += ${u}) {
int xC = xCCorner + wC;
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if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
float value = getX(batch, xR, xC, d);
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix(
value, minMaxValue, minMaxValueFound);
if (value ${w} currMinMaxValue) {
minMaxValue = value;
minMaxValueFound = 1.0;
minMaxPosition = ${s?r?m:A:`wR * ${d} + wC`};
}
}
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}
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setOutput(float(minMaxPosition));
}
`;return}let y="max",x=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(x="avgValue / count");let b=Math.floor(a/4)*4,v=a%4,k=`
if (${f}) {
avgValue += dot(values, ones);
} else {
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minMaxValue = ${y}(values, minMaxValue);
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}
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`;this.userCode=`
const ivec2 strides = ivec2(${o}, ${i});
const ivec2 pads = ivec2(${h}, ${p});
const float initializationValue = ${g};
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 xR, int xC, int d) {
if (xC < 0 || xC >= ${e.inWidth}) {
return initializationValue;
}
count += 1.0;
return getX(batch, xR, xC, d);
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}
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void main() {
ivec4 coords = getOutputCoords();
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int batch = coords[0];
int d = coords[3];
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ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4(${g});
float avgValue = 0.0;
count = 0.0;
for (int wR = 0; wR < ${c};
wR += ${l}) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
for (int wC = 0; wC < ${b}; wC += 4) {
int xC = xCCorner + wC * ${u};
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${u}, d),
getValue(batch, xR, xC + 2 * ${u}, d),
getValue(batch, xR, xC + 3 * ${u}, d)
);
${k}
}
int xC = xCCorner + ${b};
if (${v===1}) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
initializationValue,
initializationValue,
initializationValue
);
${k}
} else if (${v===2}) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${u}, d),
initializationValue,
initializationValue
);
${k}
} else if (${v===3}) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${u}, d),
getValue(batch, xR, xC + 2 * ${u}, d),
initializationValue
);
${k}
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}
}
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setOutput(${x});
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}
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`}},T1=class{constructor(e,t,n,s=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let a=e.filterWidth,o=e.strideDepth,i=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,c=e.dilationHeight,d=e.dilationWidth,h=e.effectiveFilterDepth,p=e.effectiveFilterHeight,f=e.effectiveFilterWidth,m=e.padInfo.front,A=e.padInfo.top,g=e.padInfo.left;this.outputShape=e.outShape;let y=t==="avg",x="0.0";if(y||(x="-1.0 / 1e-20"),n){let E=">=";this.userCode=`
const ivec3 strides =
ivec3(${o}, ${i}, ${l});
const ivec3 pads = ivec3(${m}, ${A}, ${g});
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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 < ${h};
wD += ${u}) {
int xD = xDCorner + wD;
if (xD < 0 || xD >= ${e.inDepth}) {
continue;
}
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for (int wR = 0; wR < ${p};
wR += ${c}) {
int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
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for (int wC = 0; wC < ${f};
wC += ${d}) {
int xC = xCCorner + wC;
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
float value = getX(batch, xD, xR, xC, ch);
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix(
value, minMaxValue, minMaxValueFound);
if (value ${E} currMinMaxValue) {
minMaxValue = value;
minMaxValueFound = 1.0;
minMaxPosition = ${s?r?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${p} * ${f} +
wR * ${f} + wC`};
}
}
}
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}
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setOutput(float(minMaxPosition));
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}
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`;return}let b="max",v=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(v="avgValue / count");let k=Math.floor(a/4)*4,w=a%4,C=`
if (${y}) {
avgValue += dot(values, ones);
} else {
minMaxValue = ${b}(values, minMaxValue);
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}
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`;this.userCode=`
const ivec3 strides =
ivec3(${o}, ${i}, ${l});
const ivec3 pads = ivec3(${m}, ${A}, ${g});
const float initializationValue = ${x};
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float count = 0.0;
float getValue(int batch, int xD, int xR, int xC, int ch) {
if (xC < 0 || xC >= ${e.inWidth}) {
return initializationValue;
}
count += 1.0;
return getX(batch, xD, xR, xC, ch);
}
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void main() {
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ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
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ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
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// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4(${x});
float avgValue = 0.0;
count = 0.0;
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for (int wD = 0; wD < ${h};
wD += ${u}) {
int xD = xDCorner + wD;
if (xD < 0 || xD >= ${e.inDepth}) {
continue;
}
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for (int wR = 0; wR < ${p};
wR += ${c}) {
int xR = xRCorner + wR;
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
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for (int wC = 0; wC < ${k}; wC += 4) {
int xC = xCCorner + wC * ${d};
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + ${d}, ch),
getValue(batch, xD, xR, xC + 2 * ${d}, ch),
getValue(batch, xD, xR, xC + 3 * ${d}, ch)
);
${C}
}
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int xC = xCCorner + ${k};
if (${w===1}) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
initializationValue,
initializationValue,
initializationValue
);
${C}
} else if (${w===2}) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + ${d}, ch),
initializationValue,
initializationValue
);
${C}
} else if (${w===3}) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + ${d}, ch),
getValue(batch, xD, xR, xC + 2 * ${d}, ch),
initializationValue
);
${C}
}
}
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setOutput(${v});
}
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}
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`}};function XK(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t;jl(r,"avgPool");let{filterSize:a,strides:o,pad:i,dimRoundingMode:l}=s,u=1;I.assert($.eitherStridesOrDilationsAreOne(o,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${o} and dilations '${u}'`);let c=$.computePool2DInfo(r.shape,a,o,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&I.arraysEqual(c.inShape,c.outShape))return qn({inputs:{x:r},backend:n});let d=new Hc(c,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var KK={kernelName:xa,backendName:"webgl",kernelFunc:XK};function ZK(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{filterSize:a,strides:o,pad:i,dimRoundingMode:l,dataFormat:u}=s,c=[1,1,1],d=$.computePool3DInfo(r.shape,a,o,c,i,l,u),h=new T1(d,"avg",!1);return n.runWebGLProgram(h,[r],"float32")}var YK={kernelName:Tu,backendName:"webgl",kernelFunc:ZK},JK=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,r=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,i=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=i-1-e.padInfo.top,c=l-1-e.padInfo.left,d=1/(t*n);this.userCode=`
const ivec2 pads = ivec2(${u}, ${c});
const float avgMultiplier = float(${d});
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void main() {
ivec4 coords = getOutputCoords();
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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.
float dotProd = 0.0;
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for (int wR = 0; wR < ${i};
wR += ${a}) {
float dyR = float(dyRCorner + wR) / ${s}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
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for (int wC = 0; wC < ${l};
wC+= ${o}) {
float dyC = float(dyCCorner + wC) / ${r}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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float dyValue = getDy(b, idyR, idyC, d);
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dotProd += dyValue * avgMultiplier;
}
}
setOutput(dotProd);
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}
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`}},QK=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,s=e.filterWidth,r=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,d=e.effectiveFilterHeight,h=e.effectiveFilterWidth,p=c-1-e.padInfo.front,f=d-1-e.padInfo.top,m=h-1-e.padInfo.left,A=1/(t*n*s);this.userCode=`
const ivec3 pads = ivec3(${p}, ${f}, ${m});
const float avgMultiplier = float(${A});
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
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).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int wD = 0; wD < ${c};
wD += ${i}) {
float dyD = float(dyDCorner + wD) / ${r}.0;
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if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
continue;
}
int idyD = int(dyD);
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for (int wR = 0; wR < ${d};
wR += ${l}) {
float dyR = float(dyRCorner + wR) / ${a}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
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for (int wC = 0; wC < ${h};
wC += ${u}) {
float dyC = float(dyCCorner + wC) / ${o}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
float dyValue = getDy(batch, idyD, idyR, idyC, ch);
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dotProd += dyValue * avgMultiplier;
}
}
}
setOutput(dotProd);
}
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`}};function eZ(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a}=t,o=a,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=s,d=[1,1,1],h=$.computePool3DInfo(o.shape,i,l,d,u,c),p=new QK(h);return n.runWebGLProgram(p,[r],o.dtype)}var tZ={kernelName:Ld,backendName:"webgl",kernelFunc:eZ};function nZ(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a}=t,o=a;jl([r,a],"avgPoolGrad");let{filterSize:i,strides:l,pad:u}=s,c=$.computePool2DInfo(o.shape,i,l,1,u),d=new JK(c);return n.runWebGLProgram(d,[r],o.dtype)}var sZ={kernelName:zd,backendName:"webgl",kernelFunc:nZ};function rZ(e){let{inputs:t,backend:n,attrs:s}=e,{a:r,b:a}=t,{transposeA:o,transposeB:i}=s;return gf({a:r,b:a,transposeA:o,transposeB:i,backend:n})}var aZ={kernelName:ba,backendName:"webgl",kernelFunc:rZ},oZ=class{constructor(e,t,n,s,r,a){this.outputShape=[],this.variableNames=["x","mean","variance"],$.assertAndGetBroadcastShape(e,t),$.assertAndGetBroadcastShape(e,n);let o="0.0";s!=null&&($.assertAndGetBroadcastShape(e,s),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");let i="1.0";r!=null&&($.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),i="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
void main() {
float x = getXAtOutCoords();
float mean = getMeanAtOutCoords();
float variance = getVarianceAtOutCoords();
float offset = ${o};
float scale = ${i};
float inv = scale * inversesqrt(variance + float(${a}));
setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
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}
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`}},iZ=class{constructor(e,t,n,s,r,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],$.assertAndGetBroadcastShape(e,t),$.assertAndGetBroadcastShape(e,n);let o="vec4(0.0)";s!=null&&($.assertAndGetBroadcastShape(e,s),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");let i="vec4(1.0)";r!=null&&($.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),i="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
void main() {
vec4 offset = ${o};
vec4 scale = ${i};
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vec4 x = getXAtOutCoords();
vec4 mean = getMeanAtOutCoords();
vec4 variance = getVarianceAtOutCoords();
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vec4 inv = scale * inversesqrt(variance + vec4(${a}));
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setOutput((x - mean) * inv + offset);
}
`}},lZ=({inputs:e,backend:t,attrs:n})=>{let{x:s,mean:r,variance:a,offset:o,scale:i}=e;I.assert(r.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),I.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),I.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let u=[s,r,a],c=null;o!=null&&(c=o.shape,u.push(o));let d=null;i!=null&&(d=i.shape,u.push(i));let h=ee().getBool("WEBGL_PACK_NORMALIZATION")?new iZ(s.shape,r.shape,a.shape,c,d,l):new oZ(s.shape,r.shape,a.shape,c,d,l);return t.runWebGLProgram(h,u,u[0].dtype)},uZ={kernelName:Fa,backendName:"webgl",kernelFunc:lZ},cZ=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=ct(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=dZ(this.rank),s,r=e.map((a,o)=>`sourceLoc.${N1[o]} = start[${o}] + coords.${N1[o]};`);s=`
${t} sourceLoc;
${t} coords = getOutputCoords();
${r.join(`
`)}
`,this.userCode=`
void main() {
${s}
setOutput(getSource(${n}));
}
`}},N1=["x","y","z","w","u","v"];function dZ(e){if(e===1)return"sourceLoc";if(e<=6)return N1.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var hZ=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=ct(this.rank),n=vn("coords",this.rank),s=vn("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${s.slice(-2).join()})`,a=`getChannel(getSource(${s.join()}), ${r})`,o=`
result.x = ${a};
if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
++${s[this.rank-1]};
result.y = ${a};
--${s[this.rank-1]};
}
`,i=this.rank===1?"":`
--${n[this.rank-1]};
if (++${n[this.rank-2]} < ${e[this.rank-2]}) {
++${s[this.rank-2]};
result.z = ${a};
if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
++${s[this.rank-1]};
result.w = ${a};
}
}
`,l=this.rank<=4?`sourceLoc = coords +
${t}(${e.map((u,c)=>`start[${c}]`).join()});`:e.map((u,c)=>`${s[c]} = ${n[c]} + start[${c}];`).join(`
`);this.userCode=`
void main() {
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${t} coords = getOutputCoords();
${t} sourceLoc;
${l}
vec4 result = vec4(0.);
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${o}
${i}
setOutput(result);
}
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`}};function pZ(e,t,n,s){let r=s.texData.get(e.dataId),a=s.makeTensorInfo(n,e.dtype),o=s.texData.get(a.dataId);Object.assign(o,r),o.refCount=1,o.shape=n,o.dtype=e.dtype;let i=An.computeFlatOffset(t,I.computeStrides(e.shape));r.slice&&(i+=r.slice.flatOffset),o.slice={flatOffset:i,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=s.dataRefCount.get(o.slice.origDataId)||1;return s.dataRefCount.set(o.slice.origDataId,l+1),a}function eu(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{begin:a,size:o}=s,[i,l]=An.parseSliceParams(r,a,o);if(An.assertParamsValid(r,i,l),I.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let d=n.texData.get(r.dataId),h=Qq(d.values,i,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,h)}let{isPacked:u}=n.texData.get(r.dataId),c=An.isSliceContinous(r.shape,i,l);if(u||!c){let d=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new hZ(l):new cZ(l),h=[i];return n.runWebGLProgram(d,[r],r.dtype,h)}return n.uploadToGPU(r.dataId),pZ(r,i,l,n)}var fZ={kernelName:tl,backendName:"webgl",kernelFunc:eu},mZ=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{blockShape:a,crops:o}=s;I.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let i=a.reduce((y,x)=>y*x),l=$.getReshaped(r.shape,a,i),u=$.getPermuted(l.length,a.length),c=$.getReshapedPermuted(r.shape,a,i),d=$.getSliceBeginCoords(o,a.length),h=$.getSliceSize(c,o,a.length),p=[],f=ye({inputs:{x:r},backend:n,attrs:{shape:l}}),m=wn({inputs:{x:f},backend:n,attrs:{perm:u}}),A=ye({inputs:{x:m},backend:n,attrs:{shape:c}}),g=eu({inputs:{x:A},backend:n,attrs:{begin:d,size:h}});return p.push(f),p.push(m),p.push(A),p.forEach(y=>n.disposeIntermediateTensorInfo(y)),g},AZ={kernelName:vi,backendName:"webgl",kernelFunc:mZ};function gZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,weights:a}=t,{size:o}=s,i=n.readSync(r.dataId),l=n.readSync(a.dataId),u=x6(i,l,a.dtype,a.shape,o);return n.makeTensorInfo([o],a.dtype,u)}var yZ={kernelName:Bd,backendName:"webgl",kernelFunc:gZ},xZ="return float(a != b);",j6=rn({opSnippet:xZ,cpuKernelImpl:Kq,dtype:"bool"}),bZ={kernelName:Ui,backendName:"webgl",kernelFunc:j6};function Gc(e){let{inputs:t,backend:n}=e,{input:s}=t,r=n.texData.get(s.dataId);return qn({inputs:{x:r.complexTensorInfos.real},backend:n})}var vZ={kernelName:lh,backendName:"webgl",kernelFunc:Gc},wZ="return float(int(x));";function kZ(e,t){let n=new sa(e.shape,wZ),s=t.runWebGLProgram(n,[e],"int32");return{dataId:s.dataId,shape:s.shape,dtype:s.dtype}}function E1(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{dtype:a}=s;if(a==="complex64"){if(r.dtype==="complex64")return qn({inputs:{x:r},backend:n});let o=Dt(r.shape),i=E1({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=ra({inputs:{real:i,imag:o},backend:n});return o.dispose(),n.disposeIntermediateTensorInfo(i),l}if(r.dtype==="complex64"){let o=Gc({inputs:{input:r},backend:n}),i=E1({inputs:{x:o},backend:n,attrs:{dtype:a}});return n.disposeIntermediateTensorInfo(o),i}if(!I.hasEncodingLoss(r.dtype,a)){let o=qn({inputs:{x:r},backend:n});return{dataId:o.dataId,shape:o.shape,dtype:a}}if(a==="int32")return kZ(r,n);if(a==="bool"){let o=n.makeTensorInfo([],"bool",I.getTypedArrayFromDType("bool",1)),l=j6({inputs:{a:r,b:o},backend:n});return n.disposeIntermediateTensorInfo(o),l}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${a}`)}var IZ={kernelName:va,backendName:"webgl",kernelFunc:E1},q6="return ceil(x);",SZ=Ze({opSnippet:q6,packedOpSnippet:q6,cpuKernelImpl:Rq}),CZ={kernelName:wa,backendName:"webgl",kernelFunc:SZ},TZ=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=`
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void main() {
float value = getAAtOutCoords();
if (isnan(value)) {
setOutput(value);
return;
}
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setOutput(clamp(value, minVal, maxVal));
}
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`}},NZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=`
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void main() {
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vec4 value = getAAtOutCoords();
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if (any(isnan(value))) {
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setOutput(value);
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return;
}
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setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
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}
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`}};function EZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{clipValueMin:a,clipValueMax:o}=s,i;ee().getBool("WEBGL_PACK_CLIP")?i=new NZ(r.shape):i=new TZ(r.shape);let l=[[a],[o]];return n.runWebGLProgram(i,[r],r.dtype,l)}var RZ={kernelName:Or,backendName:"webgl",kernelFunc:EZ},_Z=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=`
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))
);
}
`}};function X6(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function $Z(e){let{inputs:t,backend:n}=e,{x:s}=t,r=n.texData.get(s.dataId),a=new _Z(s.shape),o=[X6(s,r.complexTensorInfos.real),X6(s,r.complexTensorInfos.imag)];return n.runWebGLProgram(a,o,o[0].dtype)}var FZ={kernelName:Nu,backendName:"webgl",kernelFunc:$Z},DZ=class{constructor(e){this.outputShape=[],this.outputShape=$.computeOutShape(e,1),this.variableNames=e.map((a,o)=>`T${o}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let a=1;a<t.length;a++)t[a]=t[a-1]+e[a][1];let n=[`if (yC < ${t[0]}) setOutput(getT0(yR, yC));`];for(let a=1;a<t.length;a++){let o=t[a-1];n.push(`else if (yC < ${t[a]}) setOutput(getT${a}(yR, yC-${o}));`)}let s=t.length,r=t[t.length-1];n.push(`else setOutput(getT${s}(yR, yC-${r}));`),this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int yR = coords.x;
int yC = coords.y;
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${n.join(`
`)}
}
`}},OZ=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=$.computeOutShape(e,t);let n=this.outputShape,s=n.length,r=ct(s),a=vn("coords",s),o=["x","y","z","w","u","v"].slice(0,s);this.variableNames=e.map((f,m)=>`T${m}`);let i=new Array(e.length-1);i[0]=e[0][t];for(let f=1;f<i.length;f++)i[f]=i[f-1]+e[f][t];let l=o[t],u=o.slice(-2),c=o.join(),d=`if (${l} < ${i[0]}) {
return getChannel(
getT0(${c}), vec2(${u.join()}));
}`;for(let f=1;f<i.length;f++){let m=i[f-1];d+=`
if (${l} < ${i[f]} && ${l} >= ${i[f-1]}) {
return getChannel(
getT${f}(${xf(o,l,m)}),
vec2(${xf(u,l,m)}));
}`}let h=i.length,p=i[i.length-1];d+=`
return getChannel(
getT${h}(${xf(o,l,p)}),
vec2(${xf(u,l,p)}));`,this.userCode=`
float getValue(${o.map(f=>"int "+f)}) {
${d}
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}
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void main() {
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${r} coords = getOutputCoords();
vec4 result = vec4(getValue(${a}), 0., 0., 0.);
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${a[s-1]} = ${a[s-1]} + 1;
if (${a[s-1]} < ${n[s-1]}) {
result.g = getValue(${a});
}
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${a[s-2]} = ${a[s-2]} + 1;
if (${a[s-2]} < ${n[s-2]}) {
result.a = getValue(${a});
}
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${a[s-1]} = ${a[s-1]} - 1;
if (${a[s-2]} < ${n[s-2]} &&
${a[s-1]} < ${n[s-1]}) {
result.b = getValue(${a});
}
setOutput(result);
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}
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`}};function xf(e,t,n){let s=e.indexOf(t);return e.map((a,o)=>o===s?`${a} - ${n}`:a).join()}function bf(e){let{inputs:t,backend:n}=e,{input:s}=t,r=n.texData.get(s.dataId);return qn({inputs:{x:r.complexTensorInfos.imag},backend:n})}var PZ={kernelName:th,backendName:"webgl",kernelFunc:bf};function tu(e,t,n){let s=e[0].dtype;if(s==="complex64"){let c=e.map(m=>Gc({inputs:{input:m},backend:n})),d=e.map(m=>bf({inputs:{input:m},backend:n})),h=tu(c,t,n),p=tu(d,t,n),f=ra({inputs:{real:h,imag:p},backend:n});return c.forEach(m=>n.disposeIntermediateTensorInfo(m)),d.forEach(m=>n.disposeIntermediateTensorInfo(m)),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),f}let r=n.shouldExecuteOnCPU(e);if(s==="string"&&(r=!0),r){let c=e.map(g=>{let y=I.sizeFromShape(g.shape.slice(t));return ye({inputs:{x:g},backend:n,attrs:{shape:[-1,y]}})}),d=c.map(g=>({vals:n.readSync(g.dataId),shape:g.shape})),h=$.computeOutShape(c.map(g=>g.shape),1),p=c[0].shape[0]===1,f=_q(d,h,s,p),m=$.computeOutShape(e.map(g=>g.shape),t),A=n.makeTensorInfo(m,s,f);return c.forEach(g=>n.disposeIntermediateTensorInfo(g)),A}if(e.length>ee().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(e.length/2),d=tu(e.slice(0,c),t,n),h=tu(e.slice(c),t,n),p=tu([d,h],t,n);return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h),p}if(ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){let c=new OZ(e.map(d=>d.shape),t);return n.runWebGLProgram(c,e,s)}let{tensors2D:a,outShape:o}=MZ(e,t,n),i=new DZ(a.map(c=>c.shape)),l=n.runWebGLProgram(i,a,s);a.forEach(c=>n.disposeIntermediateTensorInfo(c));let u=ye({inputs:{x:l},attrs:{shape:o},backend:n});return n.disposeIntermediateTensorInfo(l),u}function MZ(e,t,n){let s=$.computeOutShape(e.map(a=>a.shape),t);return{tensors2D:e.map(a=>ye({inputs:{x:a},attrs:{shape:[-1,I.sizeFromShape(a.shape.slice(t))]},backend:n})),outShape:s}}function K6(e){let{inputs:t,backend:n,attrs:s}=e,{axis:r}=s,a=I.parseAxisParam(r,t[0].shape)[0],o=$.computeOutShape(t.map(u=>u.shape),a);if(I.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let i=t.filter(u=>I.sizeFromShape(u.shape)>0);if(i.length===1)return qn({inputs:{x:i[0]},backend:n});let l=i.map(u=>u.shape);return $.assertParamsConsistent(l,a),tu(i,a,n)}var zZ={kernelName:wi,backendName:"webgl",kernelFunc:K6},Z6=class{constructor(e,t=!1,n=null,s=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.padInfo.top,o=e.padInfo.left,i=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,c=e.dilationWidth,d=e.filterHeight,h=e.filterWidth,p=Math.floor(e.inChannels/4)*4,f=e.inChannels%4,m=e.dataFormat==="channelsLast",A=m?1:2,g=m?2:3,y=m?3:1,x="",b="";n&&(s?x=`float activation(float a) {
float b = getPreluActivationWeightsAtOutCoords();
${n}
}`:r?x=`float activation(float a) {
float b = getLeakyreluAlphaAtOutCoords();
${n}
}`:x=`
float activation(float x) {
${n}
}
`,b="result = activation(result);");let v=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${x}
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const ivec2 strides = ivec2(${i}, ${l});
const ivec2 pads = ivec2(${a}, ${o});
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void main() {
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ivec4 coords = getOutputCoords();
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int batch = coords[0];
int d2 = coords[${y}];
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ivec2 xRCCorner =
ivec2(coords[${A}], coords[${g}]) * strides - pads;
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;
for (int wR = 0; wR < ${d}; wR++) {
int xR = xRCorner + wR * ${u};
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
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for (int wC = 0; wC < ${h}; wC++) {
int xC = xCCorner + wC * ${c};
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if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
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for (int d1 = 0; d1 < ${p}; d1 += 4) {
vec4 wValues = vec4(
getW(wR, wC, d1, d2),
getW(wR, wC, d1 + 1, d2),
getW(wR, wC, d1 + 2, d2),
getW(wR, wC, d1 + 3, d2)
);
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if (${m}) {
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}) {
dotProd +=
getX(batch, xR, xC, ${p}) *
getW(wR, wC, ${p}, d2);
} else {
dotProd +=
getX(batch, ${p}, xR, xC) *
getW(wR, wC, ${p}, d2);
}
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} else if (${f===2}) {
vec2 wValues = vec2(
getW(wR, wC, ${p}, d2),
getW(wR, wC, ${p} + 1, d2)
);
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if (${m}) {
vec2 xValues = vec2(
getX(batch, xR, xC, ${p}),
getX(batch, xR, xC, ${p} + 1)
);
dotProd += dot(xValues, wValues);
} else {
vec2 xValues = vec2(
getX(batch, ${p}, xR, xC),
getX(batch, ${p} + 1, xR, xC)
);
dotProd += dot(xValues, wValues);
}
} else if (${f===3}) {
vec3 wValues = vec3(
getW(wR, wC, ${p}, d2),
getW(wR, wC, ${p} + 1, d2),
getW(wR, wC, ${p} + 2, d2)
);
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if (${m}) {
vec3 xValues = vec3(
getX(batch, xR, xC, ${p}),
getX(batch, xR, xC, ${p} + 1),
getX(batch, xR, xC, ${p} + 2)
);
dotProd += dot(xValues, wValues);
} else {
vec3 xValues = vec3(
getX(batch, ${p}, xR, xC),
getX(batch, ${p} + 1, xR, xC),
getX(batch, ${p} + 2, xR, xC)
);
dotProd += dot(xValues, wValues);
}
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}
}
}
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float result = dotProd;
${v}
${b}
setOutput(result);
}
`}},LZ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,s=e.padInfo.left,r=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.filterDepth,d=e.filterHeight,h=e.filterWidth,p=Math.floor(e.inChannels/4)*4,f=e.inChannels%4;this.userCode=`
const ivec3 strides = ivec3(${r}, ${a}, ${o});
const ivec3 pads = ivec3(${t}, ${n}, ${s});
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void main() {
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;
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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;
for (int wF = 0; wF < ${c}; wF++) {
int xF = xFCorner + wF * ${i};
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if (xF < 0 || xF >= ${e.inDepth}) {
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continue;
}
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for (int wR = 0; wR < ${d}; 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 < ${h}; wC++) {
int xC = xCCorner + wC * ${u};
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if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
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for (int d1 = 0; d1 < ${p}; d1 += 4) {
vec4 xValues = vec4(
getX(batch, xF, xR, xC, d1),
getX(batch, xF, xR, xC, d1 + 1),
getX(batch, xF, xR, xC, d1 + 2),
getX(batch, xF, xR, xC, d1 + 3)
);
vec4 wValues = vec4(
getW(wF, wR, wC, d1, d2),
getW(wF, wR, wC, d1 + 1, d2),
getW(wF, wR, wC, d1 + 2, d2),
getW(wF, wR, wC, d1 + 3, d2)
);
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dotProd += dot(xValues, wValues);
}
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if (${f===1}) {
dotProd +=
getX(batch, xF, xR, xC, ${p}) *
getW(wF, wR, wC, ${p}, d2);
} else if (${f===2}) {
vec2 xValues = vec2(
getX(batch, xF, xR, xC, ${p}),
getX(batch, xF, xR, xC, ${p} + 1)
);
vec2 wValues = vec2(
getW(wF, wR, wC, ${p}, d2),
getW(wF, wR, wC, ${p} + 1, d2)
);
dotProd += dot(xValues, wValues);
} else if (${f===3}) {
vec3 xValues = vec3(
getX(batch, xF, xR, xC, ${p}),
getX(batch, xF, xR, xC, ${p} + 1),
getX(batch, xF, xR, xC, ${p} + 2)
);
vec3 wValues = vec3(
getW(wF, wR, wC, ${p}, d2),
getW(wF, wR, wC, ${p} + 1, d2),
getW(wF, wR, wC, ${p} + 2, d2)
);
dotProd += dot(xValues, wValues);
}
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}
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}
}
setOutput(dotProd);
}
`}},BZ=class{constructor(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let{filterWidth:s,inChannels:r,strideWidth:a,strideHeight:o,padInfo:i,outWidth:l,dilationWidth:u,dilationHeight:c,dataFormat:d}=n,{left:h,top:p}=i,f=r*s,m=bn(),A=d==="channelsLast",g=A?0:1,y=A?1:2,x="";for(let b=0;b<=1;b++)for(let v=0;v<=1;v++)x+=`
blockIndex = rc.y + ${v};
pos = rc.x + ${b};
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if(blockIndex < ${e[1]} && pos < ${e[0]}) {
offsetY = int(blockIndex / (${l})) * ${o} - ${p};
d0 = offsetY + ${c} * (pos / ${f});
if(d0 < ${t[g]} && d0 >= 0) {
offsetX = int(mod(float(blockIndex), ${l}.) * ${a}. - ${h}.);
d1 = offsetX + ${u} * (int(mod(float(pos), ${f}.) / ${r}.));
if(d1 < ${t[y]} && d1 >= 0) {
ch = int(mod(float(pos), ${r}.));
if (${A}) {
innerDims = vec2(d1, ch);
result[${b*2+v}] = getChannel(
getA(d0, int(innerDims.x),
int(innerDims.y)), innerDims);
} else {
innerDims = vec2(d0, d1);
result[${b*2+v}] = getChannel(
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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${x}
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${m.output} = result;
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}
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`}};function Y6({x:e,filter:t,convInfo:n,backend:s,bias:r=null,preluActivationWeights:a=null,leakyreluAlpha:o=0,activation:i=null}){let l=e.shape,u=s.texData.get(e.dataId),c=n.inChannels,d=l[0]*l[1]*l[2],h=n.outChannels,p=n.dataFormat==="channelsLast",f=!1,m=!1,A,g=[],y=(d===1||h===1)&&c>B6,x=l[2]%2!=0&&!!u.isPacked;if(y||!ee().getBool("WEBGL_LAZILY_UNPACK")||!ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!x){let b=p?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],v=ye({inputs:{x:e},backend:s,attrs:{shape:[1,b,n.inChannels]}}),k=ye({inputs:{x:t},backend:s,attrs:{shape:[1,n.inChannels,n.outChannels]}}),w=gf({a:v,b:k,transposeA:f,transposeB:m,backend:s,bias:r,activation:i,preluActivationWeights:a,leakyreluAlpha:o});A=ye({inputs:{x:w},backend:s,attrs:{shape:n.outShape}}),g.push(v),g.push(k),g.push(w)}else{let b=p?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),v={dataId:e.dataId,shape:[1,b,n.inChannels],dtype:e.dtype},k=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,I.assert(Wc(u.shape,v.shape),()=>`packed reshape ${u.shape} to ${v.shape} isn't free`);let w=ye({inputs:{x:t},backend:s,attrs:{shape:[1,n.inChannels,n.outChannels]}});g.push(w);let C=gf({a:v,b:w,backend:s,transposeA:f,transposeB:m,bias:r,activation:i,preluActivationWeights:a,leakyreluAlpha:o}),E=s.texData.get(C.dataId);I.assert(E.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=k,E.shape=n.outShape,A=qn({inputs:{x:C},backend:s}),A.shape=n.outShape,g.push(C)}for(let b of g)s.disposeIntermediateTensorInfo(b);return A}function J6({x:e,filter:t,convInfo:n,backend:s,bias:r=null,preluActivationWeights:a=null,leakyreluAlpha:o=0,activation:i=null}){let{filterWidth:l,filterHeight:u,inChannels:c,outWidth:d,outHeight:h,dataFormat:p}=n,f=p==="channelsLast",m=l*u*c,A=h*d,g=[m,A],y=!0,x=!1,b=[],v=ye({inputs:{x:e},backend:s,attrs:{shape:e.shape.slice(1)}}),k=ye({inputs:{x:t},backend:s,attrs:{shape:[1,m,I.sizeFromShape(t.shape)/m]}});b.push(v),b.push(k);let w=new BZ(g,v.shape,n),C=s.runWebGLProgram(w,[v],"float32"),E=ye({inputs:{x:C},backend:s,attrs:{shape:[1,g[0],g[1]]}});b.push(C),b.push(E);let O=r!=null,R=a!=null,_=i==="leakyrelu",N=i?ff(i,!0):null,P=new O6(E.shape,k.shape,[1,A,n.outChannels],y,x,O,N,R,_),W=[E,k];if(r&&W.push(r),R&&W.push(a),_){let Q=s.makeTensorInfo([],"float32",I.createScalarValue(o,"float32"));W.push(Q),b.push(Q)}let j=s.runWebGLProgram(P,W,"float32"),q=f?[1,h,d,n.outChannels]:[1,n.outChannels,h,d],X=ye({inputs:{x:j},backend:s,attrs:{shape:q}});b.push(j);for(let Q of b)s.disposeIntermediateTensorInfo(Q);return X}function WZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a}=t,{strides:o,pad:i,dataFormat:l,dilations:u,dimRoundingMode:c}=s,d=$.convertConv2DDataFormat(l),h=$.computeConv2DInfo(r.shape,a.shape,o,u,i,c,!1,d),p;if(h.filterHeight===1&&h.filterWidth===1&&h.dilationHeight===1&&h.dilationWidth===1&&h.strideHeight===1&&h.strideWidth===1&&(h.padInfo.type==="SAME"||h.padInfo.type==="VALID"))p=Y6({x:r,filter:a,convInfo:h,backend:n});else if(ee().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)p=J6({x:r,filter:a,convInfo:h,backend:n});else{let m=new Z6(h);p=n.runWebGLProgram(m,[r,a],"float32")}let f=ye({inputs:{x:p},backend:n,attrs:{shape:h.outShape}});return n.disposeIntermediateTensorInfo(p),f}var VZ={kernelName:ka,backendName:"webgl",kernelFunc:WZ},UZ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,s=e.padInfo.top,r=e.padInfo.left,a=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} - ${s};
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
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for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${r};
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if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
if (${a}) {
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);
}
}
}
}
setOutput(dotProd);
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}
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`}},HZ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,r=e.strideWidth,a=e.dataFormat==="channelsLast",o=t-1-e.padInfo.top,i=n-1-e.padInfo.left,l=a?1:2,u=a?2:3,c=a?3:1;this.userCode=`
const ivec2 pads = ivec2(${o}, ${i});
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void main() {
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ivec4 coords = getOutputCoords();
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int batch = coords[0];
int d1 = coords[${c}];
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ivec2 dyCorner = ivec2(coords[${l}], coords[${u}]) - pads;
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;
for (int wR = 0; wR < ${t}; wR++) {
float dyR = float(dyRCorner + wR) / ${s}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
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) / ${r}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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int wCPerm = ${n} - 1 - wC;
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for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
if (${a}) {
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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}
setOutput(dotProd);
}
`}},GZ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,s=e.strideWidth,r=e.padInfo.front,a=e.padInfo.top,o=e.padInfo.left;this.userCode=`
void main() {
ivec5 coords = getOutputCoords();
int wF = coords.x;
int wR = coords.y;
int wC = coords.z;
int d1 = coords.w;
int d2 = coords.u;
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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} - ${r};
if (xF < 0 || xF >= ${e.inDepth}) {
continue;
}
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for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${n} - ${a};
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
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for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${s} - ${o};
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if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
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float dyValue = getDy(b, yF, yR, yC, d2);
float xValue = getX(b, xF, xR, xC, d1);
dotProd += (xValue * dyValue);
}
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}
}
}
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setOutput(dotProd);
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}
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`}},jZ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,s=e.filterWidth,r=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=s-1-e.padInfo.left;this.userCode=`
const ivec3 pads = ivec3(${i}, ${l}, ${u});
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void main() {
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ivec5 coords = getOutputCoords();
int batch = coords.x;
int d1 = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyFCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
float dotProd = 0.0;
for (int wF = 0; wF < ${t}; wF++) {
float dyF = float(dyFCorner + wF) / ${r}.0;
if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {
continue;
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}
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int idyF = int(dyF);
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int wFPerm = ${t} - 1 - wF;
for (int wR = 0; wR < ${n}; wR++) {
float dyR = float(dyRCorner + wR) / ${a}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
fract(dyR) > 0.0) {
continue;
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}
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int idyR = int(dyR);
int wRPerm = ${n} - 1 - wR;
for (int wC = 0; wC < ${s}; wC++) {
float dyC = float(dyCCorner + wC) / ${o}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
int wCPerm = ${s} - 1 - wC;
for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
float xValue = getDy(batch, idyF, idyR, idyC, d2);
float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
}
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}
}
}
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setOutput(dotProd);
}
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`}};function qZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,dy:a}=t,{strides:o,pad:i,dataFormat:l,dimRoundingMode:u,filterShape:c}=s,d=$.convertConv2DDataFormat(l),h=$.computeConv2DInfo(r.shape,c,o,1,i,u,!1,d),p=new UZ(h);return n.runWebGLProgram(p,[r,a],"float32")}var XZ={kernelName:Vd,backendName:"webgl",kernelFunc:qZ};function KZ(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,filter:a}=t,{inputShape:o,strides:i,pad:l,dataFormat:u,dimRoundingMode:c}=s,d=$.convertConv2DDataFormat(u),h=$.computeConv2DInfo(o,a.shape,i,1,l,c,!1,d),p=new HZ(h);return n.runWebGLProgram(p,[r,a],"float32")}var ZZ={kernelName:Ia,backendName:"webgl",kernelFunc:KZ};function YZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a}=t,{strides:o,pad:i,dilations:l}=s,u=$.computeConv3DInfo(r.shape,a.shape,o,l,i),c=new LZ(u);return n.runWebGLProgram(c,[r,a],"float32")}var JZ={kernelName:Eu,backendName:"webgl",kernelFunc:YZ};function QZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,dy:a}=t,{strides:o,pad:i,filterShape:l}=s,u=$.computeConv3DInfo(r.shape,l,o,1,i),c=new GZ(u);return n.runWebGLProgram(c,[r,a],"float32")}var eY={kernelName:Ud,backendName:"webgl",kernelFunc:QZ};function tY(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,filter:a}=t,{pad:o,strides:i,inputShape:l}=s,u=$.computeConv3DInfo(l,a.shape,i,1,o),c=new jZ(u);return n.runWebGLProgram(c,[r,a],"float32")}var nY={kernelName:Hd,backendName:"webgl",kernelFunc:tY},sY=D6+`
return cos(x);
`,rY=Ze({opSnippet:sY}),aY={kernelName:Sa,backendName:"webgl",kernelFunc:rY},oY=`
float e2x = exp(-x);
return (e2x + 1.0 / e2x) / 2.0;
`,iY=Ze({opSnippet:oY}),lY={kernelName:Ca,backendName:"webgl",kernelFunc:iY},uY=class{constructor(e,t,n,s,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[a,o,i,l]=e,[u]=t,[c,d]=n;this.outputShape=[u,c,d,l];let h=s==="bilinear"?1:0,[p,f]=[`${o-1}.0`,`${i-1}.0`],[m,A,g]=c>1?[`${(o-1)/(c-1)}`,"(y2-y1) * height_ratio",`y1*${p} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${p}`],[y,x,b]=d>1?[`${(i-1)/(d-1)}`,"(x2-x1) * width_ratio",`x1*${f} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${f}`];this.userCode=`
const float height_ratio = float(${m});
const float width_ratio = float(${y});
void main() {
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ivec4 coords = getOutputCoords();
int b = coords[0];
int y = coords[1];
int x = coords[2];
int d = coords[3];
// get box vals
float y1 = getBoxes(b,0);
float x1 = getBoxes(b,1);
float y2 = getBoxes(b,2);
float x2 = getBoxes(b,3);
// get image in batch index
int bInd = round(getBoxInd(b));
if(bInd < 0 || bInd >= ${a}) {
return;
}
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float height_scale = ${A};
float width_scale = ${x};
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float in_y = ${g};
if( in_y < 0.0 || in_y > ${p} ) {
setOutput(float(${r}));
return;
}
float in_x = ${b};
if( in_x < 0.0 || in_x > ${f} ) {
setOutput(float(${r}));
return;
}
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vec2 sourceFracIndexCR = vec2(in_x,in_y);
if(${h} == 1) {
// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);
ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));
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float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);
float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);
float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);
float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);
vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);
float top = topLeft + (topRight - topLeft) * fracCR.x;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;
float newValue = top + (bottom - top) * fracCR.y;
setOutput(newValue);
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2(floor(
sourceFracIndexCR + vec2(0.5,0.5)));
float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);
setOutput(newValue);
}
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}
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`}},cY=e=>{let{inputs:t,backend:n,attrs:s}=e,{image:r,boxes:a,boxInd:o}=t,{cropSize:i,method:l,extrapolationValue:u}=s,c=new uY(r.shape,a.shape,i,l,u);return n.runWebGLProgram(c,[r,a,o],"float32")},dY={kernelName:ki,backendName:"webgl",kernelFunc:cY},Q6=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}],this.outputShape=e;let s=e.length,r=t?"0.0":`getX(${e4(s,"coords")})`,a=e[e.length-1],o="",i="";t?(o=n?`end != ${a-1}`:"end != 0",i=n?"end + 1":"end - 1"):(o=n?`end + pow2 < ${a}`:"end >= pow2",i=n?"end + pow2":"end - pow2"),this.userCode=`
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void main() {
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${ct(s)} coords = getOutputCoords();
int end = ${t4(s,"coords")};
float val = ${r};
int pow2 = int(pow(2.0, index));
if (${o}) {
int idx = ${i};
${t4(s,"coords")} = idx;
val += getX(${e4(s,"coords")});
}
setOutput(val);
}
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`}};function e4(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 ${e} is not yet supported`)}function t4(e,t){if(e===1)return`${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 ${e} is not yet supported`)}function hY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,exclusive:o,reverse:i}=s,l=r.shape.length,u=$.getAxesPermutation([a],l),c=r;u!=null&&(c=wn({inputs:{x:r},backend:n,attrs:{perm:u}}));let d=$.getInnerMostAxes(1,l)[0];if(d!==l-1)throw new Error(`WebGL cumsum shader expects an inner-most axis=${r.shape.length-1} but got axis=${a}`);let h=c.shape[d],p=qn({inputs:{x:c},backend:n});for(let f=0;f<=Math.ceil(Math.log2(h))-1;f++){let m=new Q6(c.shape,!1,i),A=[[f]],g=p;p=n.runWebGLProgram(m,[p],p.dtype,A),n.disposeIntermediateTensorInfo(g)}if(o){let f=new Q6(c.shape,o,i),m=p;p=n.runWebGLProgram(f,[p],p.dtype),n.disposeIntermediateTensorInfo(m)}if(u!=null){let f=$.getUndoAxesPermutation(u),m=wn({inputs:{x:p},backend:n,attrs:{perm:f}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(c),m}return p}var pY={kernelName:Ta,backendName:"webgl",kernelFunc:hY};function fY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,weights:a}=t,{size:o,binaryOutput:i}=s;if(r.shape.length===1){let l=n.readSync(r.dataId),u=n.readSync(a.dataId),c=x6(l,u,a.dtype,a.shape,o);return n.makeTensorInfo([o],a.dtype,c)}else if(r.shape.length===2){let l=n.bufferSync(r),u=n.bufferSync(a),c=Eq(l,u,o,i);return n.makeTensorInfo(c.shape,a.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var mY={kernelName:Gd,backendName:"webgl",kernelFunc:fY},AY=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int h = ${this.getHeightCoordString()};
int w = ${this.getWidthCoordString()};
int d = ${this.getDepthCoordString()};
int in_h = h / ${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) *
${this.getOutputDepthSize()};
int in_d = d + offset_d;
float result = ${this.getInputSamplingString()};
setOutput(result);
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}
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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 gY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{blockSize:a,dataFormat:o}=s;I.assert(a>1,()=>`blockSize should be > 1 for depthToSpace, but was: ${a}`);let i=r.shape[0],l=o==="NHWC"?r.shape[1]:r.shape[2],u=o==="NHWC"?r.shape[2]:r.shape[3],c=o==="NHWC"?r.shape[3]:r.shape[1],d=l*a,h=u*a,p=c/(a*a),f=o==="NHWC"?[i,d,h,p]:[i,p,d,h],m=new AY(f,a,o);return n.runWebGLProgram(m,[r],r.dtype)}var yY={kernelName:Ii,backendName:"webgl",kernelFunc:gY},n4=class{constructor(e,t=!1,n=null,s=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let a=e.inHeight,o=e.inWidth,i=e.padInfo.top,l=e.padInfo.left,u=e.strideHeight,c=e.strideWidth,d=e.dilationHeight,h=e.dilationWidth,p=e.filterHeight,f=e.filterWidth,m=e.outChannels/e.inChannels,A="",g="";n&&(s?A=`float activation(float a) {
float b = getPreluActivationWeightsAtOutCoords();
${n}
}`:r?A=`float activation(float a) {
float b = getLeakyreluAlphaAtOutCoords();
${n}
}`:A=`
float activation(float x) {
${n}
}
`,g="result = activation(result);");let y=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${A}
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const ivec2 strides = ivec2(${u}, ${c});
const ivec2 pads = ivec2(${i}, ${l});
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void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
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.
for (int wR = 0; wR < ${p}; wR++) {
int xR = xRCorner + wR * ${d};
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if (xR < 0 || xR >= ${a}) {
continue;
}
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for (int wC = 0; wC < ${f}; wC++) {
int xC = xCCorner + wC * ${h};
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if (xC < 0 || xC >= ${o}) {
continue;
}
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float xVal = getX(batch, xR, xC, d1);
float wVal = getW(wR, wC, d1, q);
dotProd += xVal * wVal;
}
}
float result = dotProd;
${y}
${g}
setOutput(result);
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}
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`}},s4=class{constructor(e,t=!1,n=null,s=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;let a=e.outChannels/e.inChannels,o=e.inHeight,i=e.inWidth,l=e.padInfo.top,u=e.padInfo.left,c=e.strideHeight,d=e.strideWidth,h=e.dilationHeight,p=e.dilationWidth,f=e.filterHeight,m=e.filterWidth,A=m,g=`
int xR; int xC; int xCOffset;
vec4 wTexel; vec4 previous; vec4 final;`;for(let v=0;v<m;v++)g+=`
vec4 xTexelC${v*2};
int xTexelC${v*2}Ready;
vec4 xTexelC${v*2+1};
int xTexelC${v*2+1}Ready;
vec4 xC${v};`;for(let v=0;v<f;v++){for(let k=0;k<m;k++)g+=`
xTexelC${k*2} = vec4(0.0);
xTexelC${k*2}Ready = 0;
xTexelC${k*2+1} = vec4(0.0);
xTexelC${k*2+1}Ready = 0;
xC${k} = vec4(0.0);`;g+=`
xR = xRCorner + ${v*h};
if (xR >=0 && xR < ${o}) {
`;for(let k=0;k<(A+1)/2;k++){let w=k*2,C=w*p;if(g+=`
xC = xCCorner + ${C};
`,d===1){if(w<m&&(u%2==1?(g+=`
xCOffset = xC + 1;
if (xCOffset >= 0 && xCOffset < ${i} && xTexelC${w}Ready == 0) {
xTexelC${w} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= ${i}) {
xTexelC${w}.zw = vec2(0.0);
}
xTexelC${w}Ready = 1;
}
`,p===1&&C>0?g+=`
xC${w} = vec4(xTexelC${w-2}.zw, xTexelC${w}.xy);
`:g+=`
xCOffset = xC + 1 - 2;
if (xCOffset >= 0 && xCOffset < ${i}) {
previous = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= ${i}) {
previous.zw = vec2(0.0);
}
xC${w} = vec4(previous.zw, xTexelC${w}.xy);
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} else {
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xC${w} = vec4(0.0, 0.0, xTexelC${w}.xy);
}
`):g+=`
if (xC >= 0 && xC < ${i} && xTexelC${w}Ready == 0) {
xTexelC${w} = getX(batch, xR, xC, d1);
if (xC + 1 >= ${i}) {
xTexelC${w}.zw = vec2(0.0);
}
xTexelC${w}Ready = 1;
}
xC${w} = xTexelC${w};
`,C+1<m)){let E=u%2==0?I.nearestLargerEven(p):p;p%2==0&&u%2==1||p%2!=0&&u%2!=1?(g+=`
xCOffset = xC + ${u%2} + ${E};
if (xCOffset >= 0 && xCOffset < ${i} && xTexelC${w+1}Ready == 0) {
xTexelC${w+1} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= ${i}) {
xTexelC${w+1}.zw = vec2(0.0);
}
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xTexelC${w+1}Ready = 1;
}
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`,p>1&&(g+=`
xCOffset -= 2;
if (xCOffset >= 0 && xCOffset < ${i} && xTexelC${w}Ready == 0) {
xTexelC${w} = getX(batch, xR, xCOffset, d1);
xTexelC${w}Ready = 1;
}
`),g+=`
xC${w+1} = vec4(xTexelC${w}.zw, xTexelC${w+1}.xy);
`):E===1?g+=`
xC${w+1} = xTexelC${w};
`:g+=`
xCOffset = xC + ${E};
if (xCOffset >= 0 && xCOffset < ${i} && xTexelC${w+1}Ready == 0) {
xTexelC${w+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= ${i}) {
xTexelC${w+1}.zw = vec2(0.0);
}
xTexelC${w+1}Ready = 1;
}
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xC${w+1} = xTexelC${w+1};
`}}else C<m&&(u%2==1?(g+=`
xCOffset = xC + 1 - ${d};
if(xCOffset >= 0 && xCOffset < ${i} && xTexelC${w}Ready == 0) {
xTexelC${w} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= ${i}) {
xTexelC${w}.zw = vec2(0.0);
}
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xTexelC${w}Ready = 1;
}
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if(xC + 1 >= 0 && xC + 1 < ${i} && xTexelC${w+1}Ready == 0) {
xTexelC${w+1} = getX(batch, xR, xC + 1, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xC + 2 >= ${i}) {
xTexelC${w+1}.zw = vec2(0.0);
}
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xTexelC${w+1}Ready = 1;
}
xC${w} = vec4(xTexelC${w}.zw, xTexelC${w+1}.zw);
`,C+1<m&&(g+=`
final = vec4(0.0);
xCOffset = xC + 1 + ${d};
if(xCOffset >= 0 && xCOffset < ${i}) {
final = getX(batch, xR, xCOffset, d1);
}
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xC${w+1} = vec4(xTexelC${w+1}.xy, final.xy);
`)):(g+=`
if(xC >= 0 && xC < ${i} && xTexelC${w}Ready == 0) {
xTexelC${w} = getX(batch, xR, xC, d1);
if (xC + 1 >= ${i}) {
xTexelC${w}.zw = vec2(0.0);
}
xTexelC${w}Ready = 1;
}
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xCOffset = xC + ${d};
if(xCOffset >= 0 && xCOffset < ${i} && xTexelC${w+1}Ready == 0) {
xTexelC${w+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= ${i}) {
xTexelC${w+1}.zw = vec2(0.);
}
xTexelC${w+1}Ready = 1;
}
xC${w} = vec4(
xTexelC${w}.xy, xTexelC${w+1}.xy);
`,C+1<m&&(g+=`
xC${w+1} = vec4(xTexelC${w}.zw, xTexelC${w+1}.zw);
`)));w<m&&(g+=`
wTexel = getW(${v}, ${C}, d1, q);
dotProd += xC${w} * vec4(wTexel.xz, wTexel.xz);
`,C+1<m&&(g+=`
wTexel = getW(${v}, ${C+1}, d1, q);
dotProd += xC${w+1} * vec4(wTexel.xz, wTexel.xz);
`))}g+=`
}
`}let y="",x="";n&&(s?y=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
${n}
}`:r?y=`vec4 activation(vec4 a) {
vec4 b = getLeakyreluAlphaAtOutCoords();
${n}
}`:y=`vec4 activation(vec4 x) {
${n}
}`,x="result = activation(result);");let b=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${y}
const ivec2 strides = ivec2(${c}, ${d});
const ivec2 pads = ivec2(${l}, ${u});
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
int d1 = d2 / ${a};
int q = d2 - d1 * ${a};
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
//intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.
vec4 dotProd = vec4(0.000000000000001);
${g}
vec4 result = dotProd - vec4(0.000000000000001);
${b}
${x}
setOutput(result);
}
`}};function xY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a}=t,{strides:o,pad:i,dilations:l,dimRoundingMode:u}=s,c=l;c==null&&(c=[1,1]),I.assert($.eitherStridesOrDilationsAreOne(o,c),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${o} and dilations '${c}'`);let d=$.computeConv2DInfo(r.shape,a.shape,o,c,i,u,!0),h;return ee().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels==1?h=new s4(d):h=new n4(d),n.runWebGLProgram(h,[r,a],"float32")}var bY={kernelName:Na,backendName:"webgl",kernelFunc:xY},vY=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,s=e.padInfo.top,r=e.padInfo.left,a=e.outChannels/e.inChannels;this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int dm = coords.w;
int d2 = d1 * ${a} + dm;
float dotProd = 0.0;
// TO DO: Vec4 over the batch size
for (int b = 0; b < ${e.batchSize}; b++) {
for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${t} - ${s};
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
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for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${r};
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if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
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float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
}
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}
}
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setOutput(dotProd);
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}
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`}},wY=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,r=e.strideWidth,a=t-1-e.padInfo.top,o=n-1-e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode=`
const ivec2 pads = ivec2(${a}, ${o});
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void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d1 = coords[3];
ivec2 dyCorner = coords.yz - pads;
int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
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float dotProd = 0.0;
for (int wR = 0; wR < ${t}; wR++) {
float dyR = float(dyRCorner + wR) / ${s}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
int wRPerm = ${t} - 1 - wR;
for (int wC = 0; wC < ${n}; wC++) {
float dyC = float(dyCCorner + wC) / ${r}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
int wCPerm = ${n} - 1 - wC;
// TO DO: Vec4 over the channelMul
for (int dm = 0; dm < ${i}; dm++) {
int d2 = d1 * ${i} + dm;
float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, dm);
dotProd += xValue * wValue;
}
}
}
setOutput(dotProd);
}
`}};function kY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,dy:a}=t,{strides:o,dilations:i,pad:l,dimRoundingMode:u,filterShape:c}=s,d=$.computeConv2DInfo(r.shape,c,o,i,l,u,!0),h=new vY(d);return n.runWebGLProgram(h,[r,a],"float32")}var IY={kernelName:jd,backendName:"webgl",kernelFunc:kY};function SY(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,filter:a}=t,{strides:o,dilations:i,pad:l,dimRoundingMode:u,inputShape:c}=s,d=$.computeConv2DInfo(c,a.shape,o,i,l,u,!0),h=new wY(d);return n.runWebGLProgram(h,[r,a],"float32")}var CY={kernelName:qd,backendName:"webgl",kernelFunc:SY},TY=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
setOutput(val);
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}
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`}};function NY(e){let{inputs:t,backend:n}=e,{x:s}=t,r=[...s.shape,...s.shape],a=I.sizeFromShape(s.shape),o=ye({inputs:{x:s},backend:n,attrs:{shape:[a]}}),i=new TY(a),l=n.runWebGLProgram(i,[o],o.dtype),u=ye({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(l),u}var EY={kernelName:Xd,backendName:"webgl",kernelFunc:NY},RY=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:s,strideHeight:r,strideWidth:a,filterHeight:o,filterWidth:i,dilationHeight:l,dilationWidth:u}=e,{top:c,left:d}=s;this.userCode=`
const ivec2 strides = ivec2(${r}, ${a});
const ivec2 pads = ivec2(${c}, ${d});
const float neg_infinity = -3.4e38;
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void main() {
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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;
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float curVal = neg_infinity;
for (int h = 0; h < ${o}; h++) {
int hIn = hBeg + h * ${l};
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if (hIn >= 0 && hIn < ${t}) {
for (int w = 0; w < ${i}; w++) {
int wIn = wBeg + w * ${u};
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if (wIn >= 0 && wIn < ${n}) {
float xVal = getX(batch, hIn, wIn, d1);
float wVal = getW(h, w, d1);
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float val = xVal + wVal;
if (val > curVal) {
curVal = val;
}
}
}
}
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}
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float result = curVal;
setOutput(result);
}
`}};function _Y(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a}=t,{strides:o,pad:i,dilations:l}=s,u=$.computeDilation2DInfo(r.shape,a.shape,o,i,"NHWC",l),c,d=new RY(u);c=n.runWebGLProgram(d,[r,a],"float32");let h=ye({inputs:{x:c},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(c),h}var $Y={kernelName:Ru,backendName:"webgl",kernelFunc:_Y};function FY(e){let{inputs:t,backend:n,attrs:s}=e,{equation:r}=s,a=t,{allDims:o,summedDims:i,idDims:l}=$.decodeEinsumEquation(r,a.length);$.checkEinsumDimSizes(o.length,l,a);let{path:u,steps:c}=$.getEinsumComputePath(i,l),d=c.length,h=null,p=o.length,f=[];for(let m=0;m<d;++m){for(let A of c[m]){let{permutationIndices:g,expandDims:y}=$.getEinsumPermutation(p,l[A]),x;$.isIdentityPermutation(g)?x=a[A]:(x=wn({inputs:{x:a[A]},backend:n,attrs:{perm:g}}),f.push(x));let b=x.shape.slice();for(let v=0;v<y.length;++v)b.splice(y[v],0,1);I.arraysEqual(x.shape,b)||(x=ye({inputs:{x},backend:n,attrs:{shape:b}}),f.push(x)),h===null?h=x:(h=C1({inputs:{a:x,b:h},backend:n}),f.push(h))}m<d-1&&(u[m]>=0&&(h=Af({inputs:{x:h},backend:n,attrs:{axis:u[m]-(o.length-p),keepDims:!1}}),f.push(h)),p--)}for(let m of f)m!==h&&n.disposeIntermediateTensorInfo(m);return h}var DY={kernelName:Yd,backendName:"webgl",kernelFunc:FY},OY="return (x >= 0.0) ? x : (exp(x) - 1.0);",PY=`
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;
`,MY=Ze({opSnippet:OY,packedOpSnippet:PY}),zY={kernelName:Si,backendName:"webgl",kernelFunc:MY},LY="return (b >= 1.0) ? a : a * (b + 1.0);",BY=`
vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
`,WY=e=>{let{inputs:t,backend:n}=e,{dy:s,y:r}=t,a=ee().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Uc(BY,s.shape,r.shape):new Ql(LY,s.shape,r.shape);return n.runWebGLProgram(a,[s,r],s.dtype)},VY={kernelName:Jd,backendName:"webgl",kernelFunc:WY},UY=`
return vec4(equal(a, b));
`,HY="return float(a == b);",GY=rn({opSnippet:HY,packedOpSnippet:UY,dtype:"bool",cpuKernelImpl:$q}),jY={kernelName:Ti,backendName:"webgl",kernelFunc:GY},qY=`
// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
float p = ${$.ERF_P};
float a1 = ${$.ERF_A1};
float a2 = ${$.ERF_A2};
float a3 = ${$.ERF_A3};
float a4 = ${$.ERF_A4};
float a5 = ${$.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));
`,XY=Ze({opSnippet:qY}),KY={kernelName:Ci,backendName:"webgl",kernelFunc:XY},r4="return exp(x);",a4=Ze({opSnippet:r4,packedOpSnippet:r4,cpuKernelImpl:Fq}),ZY={kernelName:Ra,backendName:"webgl",kernelFunc:a4};function R1(e){let{inputs:t,attrs:n,backend:s}=e,{dim:r}=n,{input:a}=t,o=a.shape.length,i=a.shape.slice(),l=r;return r<0&&(I.assert(-(o+1)<=r,()=>`Axis must be in the interval [${-(o+1)}, ${o}]`),l=o+r+1),i.splice(l,0,1),ye({inputs:{x:a},backend:s,attrs:{shape:i}})}var YY={kernelName:Ni,backendName:"webgl",kernelFunc:R1},o4="return exp(x) - 1.0;",JY=Ze({opSnippet:o4,packedOpSnippet:o4,cpuKernelImpl:Dq}),QY={kernelName:Ei,backendName:"webgl",kernelFunc:JY},i4=class{constructor(e,t,n){this.variableNames=["real","imag"];let s=t[1];this.outputShape=t;let r=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,a=n?`${s}.0`:"1.0",o;if(e==="real")o="return real * expR - imag * expI;";else if(e==="imag")o="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=`
const float exponentMultiplier = ${r};
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float unaryOpComplex(float real, float expR, float imag, float expI) {
${o}
}
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float mulMatDFT(int batch, int index) {
float indexRatio = float(index) / float(${s});
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio;
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float result = 0.0;
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for (int i = 0; i < ${s}; i++) {
// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float(i);
float expR = cos(x);
float expI = sin(x);
float real = getReal(batch, i);
float imag = getImag(batch, i);
result +=
unaryOpComplex(real, expR, imag, expI) / ${a};
}
return result;
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}
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void main() {
ivec2 coords = getOutputCoords();
setOutput(mulMatDFT(coords[0], coords[1]));
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}
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`}};function l4(e,t,n){let s=n.texData.get(e.dataId),r=I.sizeFromShape(e.shape),a=e.shape[e.shape.length-1],o=r/a,i=ye({inputs:{x:e},backend:n,attrs:{shape:[o,a]}}),l=i.shape,u=new i4("real",l,t),c=new i4("imag",l,t),d=[{dataId:s.complexTensorInfos.real.dataId,dtype:s.complexTensorInfos.real.dtype,shape:l},{dataId:s.complexTensorInfos.imag.dataId,dtype:s.complexTensorInfos.imag.dtype,shape:l}],h=n.runWebGLProgram(u,d,"float32"),p=n.runWebGLProgram(c,d,"float32"),f=ra({inputs:{real:h,imag:p},backend:n});n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p);let m=ye({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(f),m}function eJ(e){let{inputs:t,backend:n}=e,{input:s}=t;return l4(s,!1,n)}var tJ={kernelName:Qd,backendName:"webgl",kernelFunc:eJ},nJ=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=`
void main() {
// Input can be obtained from uniform value.
setOutput(value);
}
`}};function vf(e){let{backend:t,attrs:n}=e,{shape:s,value:r}=n,{dtype:a}=n;if(a=a||I.inferDtype(r),a==="string"){let o=I.getArrayFromDType(a,I.sizeFromShape(s));return o.fill(r),t.makeTensorInfo(s,a,o)}else{let o=new nJ(s,r),i=[[r]];return t.runWebGLProgram(o,[],a,i)}}var sJ={kernelName:_u,backendName:"webgl",kernelFunc:vf},rJ=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
int coordX = ${t} - x - 1;
float outputValue;
if(coordX >= 0 && coordX < ${t}) {
outputValue = getImage(coords[0], coords[1], coordX, coords[3]);
} else {
outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);
}
setOutput(outputValue);
}
`}},aJ={kernelName:Ri,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,s=t,r=new rJ(n.shape);return s.runWebGLProgram(r,[n],n.dtype)}},u4="return floor(x);",oJ=Ze({opSnippet:u4,packedOpSnippet:u4,cpuKernelImpl:Oq}),iJ={kernelName:_a,backendName:"webgl",kernelFunc:oJ},lJ=`
float s = sign(a) * sign(b);
int ia = round(a);
int ib = round(b);
if (ib != 0) {
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
return float(idiv(ia, ib, s));
} else {
return NAN;
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}
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`,uJ=`
ivec4 ia = round(a);
ivec4 ib = round(b);
bvec4 cond = notEqual(ib, ivec4(0));
ivec4 result = ivec4(0);
vec4 s = sign(a) * sign(b);
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if (cond[0]) {
result[0] = idiv(ia[0], ib[0], s[0]);
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}
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if (cond[1]) {
result[1] = idiv(ia[1], ib[1], s[1]);
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}
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if (cond[2]) {
result[2] = idiv(ia[2], ib[2], s[2]);
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}
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if (cond[3]) {
result[3] = idiv(ia[3], ib[3], s[3]);
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}
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return vec4(result);
`,cJ=rn({opSnippet:lJ,packedOpSnippet:uJ,dtype:"int32"}),dJ={kernelName:$a,backendName:"webgl",kernelFunc:cJ},hJ=class{constructor(e){this.variableNames=["A"];let t=bn(),[n,s]=e;this.outputShape=e,this.userCode=`
void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${s}.0, ${n}.0);
vec4 values = ${t.texture2D}(A, uv);
float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
setOutput(floor(value * 255.0 + 0.5));
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}
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`}},pJ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=bn(),[n,s]=e;this.outputShape=e,this.userCode=`
void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
vec4 result = vec4(0.);
for(int row=0; row<=1; row++) {
for(int col=0; col<=1; col++) {
texC = coords[1] + row;
depth = coords[2] + col;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${s}.0, ${n}.0);
vec4 values = ${t.texture2D}(A, uv);
float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
result[row * 2 + col] = floor(value * 255.0 + 0.5);
}
}
${t.output} = result;
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}
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`}},fJ={kernelName:bh,backendName:"webgl",kernelFunc:mJ},nu;function mJ(e){let{inputs:t,backend:n,attrs:s}=e,{pixels:r}=t,{numChannels:a}=s,o=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,i=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=o?[r.videoWidth,r.videoHeight]:[r.width,r.height],c=[u,l],d=[u,l,a];(i||o)&&(nu==null&&(nu=document.createElement("canvas").getContext("2d")),nu.canvas.width=l,nu.canvas.height=u,nu.drawImage(r,0,0,l,u),r=nu.canvas);let h=n.makeTensorInfo(c,"int32");n.texData.get(h.dataId).usage=fs.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(h.dataId),r);let p=ee().getBool("WEBGL_PACK")?new pJ(d):new hJ(d),f=n.runWebGLProgram(p,[h],"int32");return n.disposeData(h.dataId),f}function AJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a,bias:o,preluActivationWeights:i}=t,{strides:l,pad:u,dataFormat:c,dilations:d,dimRoundingMode:h,activation:p,leakyreluAlpha:f}=s,m=$.convertConv2DDataFormat(c),A=$.computeConv2DInfo(r.shape,a.shape,l,d,u,h,!1,m),g,y=[];if(A.filterHeight===1&&A.filterWidth===1&&A.dilationHeight===1&&A.dilationWidth===1&&A.strideHeight===1&&A.strideWidth===1&&(A.padInfo.type==="SAME"||A.padInfo.type==="VALID"))g=Y6({x:r,filter:a,convInfo:A,backend:n,bias:o,activation:p,preluActivationWeights:i,leakyreluAlpha:f});else if(ee().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)g=J6({x:r,filter:a,convInfo:A,backend:n,bias:o,activation:p,preluActivationWeights:i,leakyreluAlpha:f});else{let b=o!=null,v=i!=null,k=p==="leakyrelu",w=p?ff(p,!1):null,C=new Z6(A,b,w,v,k),E=[r,a];if(o&&E.push(o),i&&E.push(i),k){let O=n.makeTensorInfo([],"float32",I.createScalarValue(f,"float32"));E.push(O),y.push(O)}g=n.runWebGLProgram(C,E,"float32")}let x=ye({inputs:{x:g},backend:n,attrs:{shape:A.outShape}});return y.push(g),y.forEach(b=>n.disposeIntermediateTensorInfo(b)),x}var gJ={kernelName:fo,backendName:"webgl",kernelFunc:AJ};function yJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a,bias:o,preluActivationWeights:i}=t,{strides:l,pad:u,dilations:c,dimRoundingMode:d,activation:h,leakyreluAlpha:p}=s,f=[],m=c;m==null&&(m=[1,1]),I.assert($.eitherStridesOrDilationsAreOne(l,m),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${m}'`);let A=$.computeConv2DInfo(r.shape,a.shape,l,m,u,d,!0),g=ee().getBool("WEBGL_PACK_DEPTHWISECONV")&&A.strideWidth<=2&&A.outChannels/A.inChannels==1,y=h?ff(h,g):null,x=[r,a],b=o!=null,v=i!=null,k=h==="leakyrelu";if(b&&x.push(o),v&&x.push(i),k){let E=n.makeTensorInfo([],"float32",I.createScalarValue(p,"float32"));x.push(E),f.push(E)}let w;g?w=new s4(A,b,y,v,k):w=new n4(A,b,y,v,k);let C=n.runWebGLProgram(w,x,"float32");return f.forEach(E=>n.disposeIntermediateTensorInfo(E)),C}var xJ={kernelName:mo,backendName:"webgl",kernelFunc:yJ},bJ=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let s=ct(t.length),r=ct(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
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${s} strides = ${s}(${this.strides});
void main() {
${r} coords = getOutputCoords();
int flattenIndex = 0;
for (int j = 0; j < ${this.sliceDim}; j++) {
int index = round(getIndices(coords[0], j));
flattenIndex += index * ${a};
}
setOutput(getX(flattenIndex, coords[1]));
}
`}};function vJ(e){let{inputs:t,backend:n}=e,{params:s,indices:r}=t,a=r.shape,o=a[a.length-1],i=I.sizeFromShape(s.shape),[l,u,c,d]=$.prepareAndValidate(s,r),h=ye({inputs:{x:r},backend:n,attrs:{shape:[u,o]}}),p=ye({inputs:{x:s},backend:n,attrs:{shape:[I.sizeFromShape(s.shape)/c,c]}});if(n.shouldExecuteOnCPU([s,r])||s.dtype==="string"){let g=n.readSync(r.dataId),y=n.bufferSync(s),x=Pq(g,y,s.dtype,u,o,c,d,s.shape,i);return n.makeTensorInfo(l,s.dtype,x.values)}let f=new bJ(o,d,[u,c]),m=n.runWebGLProgram(f,[p,h],p.dtype),A=ye({inputs:{x:m},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(m),A}var wJ={kernelName:$i,backendName:"webgl",kernelFunc:vJ},kJ=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=ct(this.rank),s=IJ(e,2);this.userCode=`
void main() {
${n} resRC = getOutputCoords();
setOutput(getA(${s}));
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}
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`}};function IJ(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],s=[];for(let r=0;r<e.length;r++)r===2?s.push("int(getIndices(resRC.x, resRC.z))"):s.push(`${n[r]}`);return s.join()}function c4(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,indices:a}=t,{axis:o,batchDims:i}=s,l=I.parseAxisParam(o,r.shape)[0],u=$.segment_util.collectGatherOpShapeInfo(r,a,l,i),c=I.sizeFromShape(a.shape),d=[],h=ye({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),p=ye({inputs:{x:a},backend:n,attrs:{shape:[u.batchSize,c/u.batchSize]}});d.push(h),d.push(p);let f=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([r,a])||r.dtype==="string"){let y=n.bufferSync(p),x=n.bufferSync(h),b=Mq(x,y,f);return d.forEach(v=>n.disposeIntermediateTensorInfo(v)),n.makeTensorInfo(u.outputShape,b.dtype,b.values)}let m=new kJ(h.shape,f),A=n.runWebGLProgram(m,[h,p],h.dtype);d.push(A);let g=ye({inputs:{x:A},backend:n,attrs:{shape:u.outputShape}});return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),g}var SJ={kernelName:_i,backendName:"webgl",kernelFunc:c4},CJ="return float(a > b);",TJ=`
return vec4(greaterThan(a, b));
`,NJ=rn({opSnippet:CJ,packedOpSnippet:TJ,cpuKernelImpl:zq,dtype:"bool"}),EJ={kernelName:Fi,backendName:"webgl",kernelFunc:NJ},RJ="return float(a >= b);",_J=`
return vec4(greaterThanEqual(a, b));
`,$J=rn({opSnippet:RJ,packedOpSnippet:_J,dtype:"bool",cpuKernelImpl:Lq}),FJ={kernelName:Da,backendName:"webgl",kernelFunc:$J};function DJ(e){let{inputs:t,backend:n}=e,{input:s}=t;return l4(s,!0,n)}var OJ={kernelName:eh,backendName:"webgl",kernelFunc:DJ},PJ="return float(!isnan(x) && !isinf(x));",MJ=Ze({opSnippet:PJ,dtype:"bool"}),zJ={kernelName:Di,backendName:"webgl",kernelFunc:MJ},LJ="return float(isinf(x));",BJ=Ze({opSnippet:LJ,dtype:"bool"}),WJ={kernelName:Oi,backendName:"webgl",kernelFunc:BJ},VJ="return float(isnan(x));",UJ=Ze({opSnippet:VJ,dtype:"bool"}),HJ={kernelName:Pi,backendName:"webgl",kernelFunc:UJ},GJ="return float(a < b);",jJ=`
return vec4(lessThan(a, b));
`,qJ=rn({opSnippet:GJ,packedOpSnippet:jJ,cpuKernelImpl:Bq,dtype:"bool"}),XJ={kernelName:Mi,backendName:"webgl",kernelFunc:qJ},KJ="return float(a <= b);",ZJ=`
return vec4(lessThanEqual(a, b));
`,YJ=rn({opSnippet:KJ,packedOpSnippet:ZJ,cpuKernelImpl:Wq,dtype:"bool"}),JJ={kernelName:zi,backendName:"webgl",kernelFunc:YJ};function QJ(e){let{backend:t,attrs:n}=e,{start:s,stop:r,num:a}=n,o=Vq(s,r,a);return t.makeTensorInfo([o.length],"float32",o)}var eQ={kernelName:nh,backendName:"webgl",kernelFunc:QJ},tQ=`if (x < 0.0) return NAN;
return log(x);`,nQ=`
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;
return result;
`,sQ=Ze({opSnippet:tQ,packedOpSnippet:nQ,cpuKernelImpl:Uq}),rQ={kernelName:Ma,backendName:"webgl",kernelFunc:sQ},aQ="return log(1.0 + x);",oQ=Ze({opSnippet:aQ}),iQ={kernelName:Li,backendName:"webgl",kernelFunc:oQ},lQ="return float(a >= 1.0 && b >= 1.0);",uQ=`
return vec4(
vec4(greaterThanEqual(a, vec4(1.0))) *
vec4(greaterThanEqual(b, vec4(1.0))));
`,cQ=rn({opSnippet:lQ,packedOpSnippet:uQ,dtype:"bool"}),dQ={kernelName:Bi,backendName:"webgl",kernelFunc:cQ},hQ="return float(!(x >= 1.0));",pQ=Ze({opSnippet:hQ}),fQ={kernelName:$u,backendName:"webgl",kernelFunc:pQ},mQ="return float(a >= 1.0 || b >= 1.0);",AQ=`
return min(
vec4(greaterThanEqual(a, vec4(1.0))) +
vec4(greaterThanEqual(b, vec4(1.0))),
vec4(1.0));
`,gQ=rn({opSnippet:mQ,packedOpSnippet:AQ,dtype:"bool"}),yQ={kernelName:Fu,backendName:"webgl",kernelFunc:gQ},xQ=class{constructor(e,t,n,s,r){this.variableNames=["x"],this.outputShape=[];let a=t,o=e[3]-1;this.outputShape=e;let i,l=`float(${n}) + float(${s}) * sum`;r===.5?i=`inversesqrt(${l})`:r===1?i=`1.0/(${l})`:i=`exp(log(${l}) * float(-${r}));`,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
int d = coords[3];
float x = getX(b, r, c, d);
float sum = 0.0;
for (int j = -${a}; j <= ${a}; j++) {
int idx = d + j;
if (idx >= 0 && idx <= ${o}) {
float z = getX(b, r, c, idx);
sum += z * z;
}
}
float val = x * ${i};
setOutput(val);
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}
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`}},bQ=class{constructor(e,t,n,s,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,o=e[3]-1;this.outputShape=e;let i,l=`float(${n}) + float(${s}) * sum`;r===.5?i=`inversesqrt(${l})`:r===1?i=`1.0/(${l})`:i=`exp(log(${l}) * float(-${r}));`,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords.x;
int r = coords.y;
int c = coords.z;
int d = coords.w;
bool hasNextCol = d < ${this.outputShape[3]};
bool hasNextRow = c < ${this.outputShape[2]};
vec4 sum = vec4(0.);
vec4 xFragAtOutputCoords = getX(b, r, c, d);
vec4 xAtOutputCoords = vec4(
getChannel(xFragAtOutputCoords, vec2(c, d)),
hasNextCol ?
getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,
hasNextRow ?
getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,
(hasNextRow && hasNextCol) ?
getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0
);
int firstChannel = d - ${a};
vec2 cache = vec2(0.);
if(firstChannel >= 0){
vec4 firstChannelFrag = getX(b, r, c, firstChannel);
cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));
if(hasNextRow){
cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));
}
}
ivec2 depth = ivec2(d, d + 1);
for (int j = - ${a}; j <= ${a}; j++) {
ivec2 idx = depth + j;
bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));
bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${o}));
bool depthInRange = aboveLowerBound.x && belowUpperBound.x;
bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;
if(depthInRange || depthPlusOneInRange){
vec4 z = vec4(0.);
vec4 xFragAtCurrentDepth;
z.xz = cache.xy;
if(depthPlusOneInRange && hasNextCol){
xFragAtCurrentDepth = idx.y != d ?
getX(b, r, c, idx.y) : xFragAtOutputCoords;
z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));
if(hasNextRow){
z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));
}
}
cache.xy = z.yw;
sum += z * z;
}
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}
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vec4 result = xAtOutputCoords * ${i};
setOutput(result);
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}
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`}},vQ=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{depthRadius:a,bias:o,alpha:i,beta:l}=s,u=ee().getBool("WEBGL_PACK_NORMALIZATION")?new bQ(r.shape,a,o,i,l):new xQ(r.shape,a,o,i,l);return n.runWebGLProgram(u,[r],r.dtype)},wQ={kernelName:Du,backendName:"webgl",kernelFunc:vQ},kQ=class{constructor(e,t,n,s,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=s,this.beta=r,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
float result = 0.0;
for (int d = 0; d < ${this.depth}; ++d) {
int depthBegin = int(max(0.0, float(d - ${t})));
int depthEnd = int(min(float(${this.depth}),
float(d + ${t} + 1)));
const int MIN_DEPTH_BEGIN = 0;
const int MAX_DEPTH_END = ${this.depth};
float norm = 0.0;
for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd) {
norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);
}
else {
break;
}
}
norm = float(${s}) * norm + float(${n});
for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd){
float dyi = -2.0 * float(${s})
* float(${r})
* getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
/ norm;
if (k == d) {
dyi += pow(norm, -1.0 * ${r});
}
if (k == coords[3]) {
dyi *= getDy(b, r, c, d);
result += dyi;
}
}
else {
break;
}
}
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}
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setOutput(result);
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}
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`}},IQ=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r,y:a,dy:o}=t,{depthRadius:i,bias:l,alpha:u,beta:c}=s,d=new kQ(r.shape,i,l,u,c);return n.runWebGLProgram(d,[r,a,o],r.dtype)},SQ={kernelName:sh,backendName:"webgl",kernelFunc:IQ};function CQ(e,t,n,s){let r=I.sizeFromShape(t),o=I.sizeFromShape(e.shape)/r,i=ye({inputs:{x:e},attrs:{shape:[o,r]},backend:s}),l=Go(i,e.dtype,"max",s),u=ye({inputs:{x:l},attrs:{shape:n},backend:s});return s.disposeIntermediateTensorInfo(i),s.disposeIntermediateTensorInfo(l),u}function d4(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{reductionIndices:a,keepDims:o}=s,i=r.shape.length,l=I.parseAxisParam(a,r.shape),u=l,c=$.getAxesPermutation(u,i),d=c!=null,h=n.shouldExecuteOnCPU([r]),p=r;if(d){if(h){let x=n.texData.get(p.dataId).values,b=new Array(i);for(let w=0;w<b.length;w++)b[w]=r.shape[c[w]];let v=S1(x,r.shape,r.dtype,c,b);p=n.makeTensorInfo(b,r.dtype);let k=n.texData.get(p.dataId);k.values=v}else p=mf(r,c,n);u=$.getInnerMostAxes(u.length,i)}$.assertAxesAreInnerMostDims("max",u,i);let[f,m]=$.computeOutAndReduceShapes(p.shape,u),A=f;o&&(A=$.expandShapeToKeepDim(f,l));let g;if(h){let x=n.texData.get(p.dataId).values,b=Hq(x,I.sizeFromShape(m),A,r.dtype);g=n.makeTensorInfo(A,r.dtype);let v=n.texData.get(g.dataId);v.values=b}else g=CQ(p,m,A,n);return d&&n.disposeIntermediateTensorInfo(p),g}var TQ={kernelName:za,backendName:"webgl",kernelFunc:d4},NQ=E6+`
return max(a, b);
`,EQ=`
vec4 result = vec4(max(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+pf+`
return result;
`,RQ=rn({opSnippet:NQ,packedOpSnippet:EQ,cpuKernelImpl:Gq}),_Q={kernelName:La,backendName:"webgl",kernelFunc:RQ};function $Q(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t;jl(r,"maxPool");let{filterSize:a,strides:o,pad:i,dimRoundingMode:l}=s,u=1;I.assert($.eitherStridesOrDilationsAreOne(o,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${o} and dilations '${u}'`);let c=$.computePool2DInfo(r.shape,a,o,u,i,l);if(c.filterWidth===1&&c.filterHeight===1&&I.arraysEqual(c.inShape,c.outShape))return qn({inputs:{x:r},backend:n});let d=new Hc(c,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var FQ={kernelName:Ba,backendName:"webgl",kernelFunc:$Q};function DQ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{filterSize:a,strides:o,pad:i,dataFormat:l,dimRoundingMode:u}=s,c=[1,1,1],d=$.computePool3DInfo(r.shape,a,o,c,i,u,l),h=new T1(d,"max",!1);return n.runWebGLProgram(h,[r],r.dtype)}var OQ={kernelName:Ou,backendName:"webgl",kernelFunc:DQ},PQ=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,s=e.dilationHeight,r=e.effectiveFilterHeight,a=e.effectiveFilterWidth,o=r-1-e.padInfo.top,i=a-1-e.padInfo.left,l=r*a-1;this.userCode=`
const ivec2 pads = ivec2(${o}, ${i});
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 dyRCCorner = coords.yz - pads;
int dyRCorner = dyRCCorner.x;
int dyCCorner = dyRCCorner.y;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < ${r};
wR += ${s}) {
float dyR = float(dyRCorner + wR) / ${t}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
for (int wC = 0; wC < ${a}; wC++) {
float dyC = float(dyCCorner + wC) / ${n}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
float dyValue = getDy(b, idyR, idyC, d);
int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));
// Get the current value, check it against the value from the
// position matrix.
int curPosValue = wR * ${a} + wC;
float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
dotProd += dyValue * mask;
}
}
setOutput(dotProd);
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}
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`}},MQ=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,s=e.strideWidth,r=e.dilationDepth,a=e.dilationHeight,o=e.dilationWidth,i=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=i-1-e.padInfo.front,d=l-1-e.padInfo.top,h=u-1-e.padInfo.left,p=i*l*u-1;this.userCode=`
const ivec3 pads = ivec3(${c}, ${d}, ${h});
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wD = 0; wD < ${i};
wD += ${r}) {
float dyD = float(dyDCorner + wD) / ${t}.0;
if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
continue;
}
int idyD = int(dyD);
for (int wR = 0; wR < ${l};
wR += ${a}) {
float dyR = float(dyRCorner + wR) / ${n}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
for (int wC = 0; wC < ${u};
wC += ${o}) {
float dyC = float(dyCCorner + wC) / ${s}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
float dyValue = getDy(batch, idyD, idyR, idyC, ch);
int maxPosValue = ${p} -
int(getMaxPos(batch, idyD, idyR, idyC, ch));
// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
wD * ${l} * ${u} +
wR * ${u} + wC;
float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
dotProd += dyValue * mask;
}
}
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}
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setOutput(dotProd);
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}
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`}};function zQ(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a}=t,o=a,{filterSize:i,strides:l,pad:u,dimRoundingMode:c}=s,d=[1,1,1],h=$.computePool3DInfo(o.shape,i,l,d,u,c),p=new T1(h,"max",!0),f=n.runWebGLProgram(p,[o],o.dtype),m=new MQ(h),A=n.runWebGLProgram(m,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),A}var LQ={kernelName:ah,backendName:"webgl",kernelFunc:zQ};function BQ(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a,output:o}=t,i=a;jl([a,o],"maxPoolGrad");let{filterSize:l,strides:u,pad:c,dimRoundingMode:d}=s,h=$.computePool2DInfo(i.shape,l,u,1,c,d),p=!0,f=new Hc(h,"max",p),m=n.runWebGLProgram(f,[i],i.dtype),A=new PQ(h),g=n.runWebGLProgram(A,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),g}var WQ={kernelName:rh,backendName:"webgl",kernelFunc:BQ};function VQ(e,t,n,s){let r=new Hc(n,"max",!1),a=s.runWebGLProgram(r,[e],"float32");r=new Hc(n,"max",!0,!0,t);let o=s.runWebGLProgram(r,[e],"float32");return[a,o]}var UQ={kernelName:oh,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:s}=e,{filterSize:r,strides:a,pad:o,includeBatchInIndex:i}=t,l=n;I.assert(s.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${s.shape.length}.`);let u=[1,1];I.assert($.eitherStridesOrDilationsAreOne(a,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${a} and dilations '${u}'`);let c=$.computePool2DInfo(s.shape,r,a,u,o),[d,h]=VQ(s,i,c,l);return[d,h]}};function HQ(e,t,n,s){let r=I.sizeFromShape(t),o=I.sizeFromShape(e.shape)/r,i=ye({inputs:{x:e},attrs:{shape:[o,r]},backend:s}),l=Go(i,"float32","mean",s),u=ye({inputs:{x:l},attrs:{shape:n},backend:s});return s.disposeIntermediateTensorInfo(i),s.disposeIntermediateTensorInfo(l),u}var GQ={kernelName:Wa,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:s}=e,{keepDims:r,axis:a}=t,o=n,i=s.shape.length,l=I.parseAxisParam(a,s.shape),u=l,c=$.getAxesPermutation(u,i),d=c!=null,h=o.shouldExecuteOnCPU([s]),p=[],f=s;if(d){if(h){let b=o.texData.get(f.dataId).values,v=new Array(i);for(let C=0;C<v.length;C++)v[C]=s.shape[c[C]];let k=S1(b,s.shape,s.dtype,c,v);f=o.makeTensorInfo(v,s.dtype);let w=o.texData.get(f.dataId);w.values=k}else f=mf(s,c,o);p.push(f),u=$.getInnerMostAxes(u.length,i)}$.assertAxesAreInnerMostDims("sum",u,i);let[m,A]=$.computeOutAndReduceShapes(f.shape,u),g=m;r&&(g=$.expandShapeToKeepDim(m,l));let y=HQ(f,A,g,o);for(let x of p)o.disposeIntermediateTensorInfo(x);return y}};function jQ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=I.parseAxisParam(a,r.shape),u=l,c=$.getAxesPermutation(u,i),d=r;c!=null&&(d=wn({inputs:{x:r},backend:n,attrs:{perm:c}}),u=$.getInnerMostAxes(u.length,r.shape.length)),$.assertAxesAreInnerMostDims("min",u,i);let[h,p]=$.computeOutAndReduceShapes(d.shape,u),f=I.sizeFromShape(p),m=ye({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),A=Go(m,m.dtype,"min",n),g;if(o){let y=$.expandShapeToKeepDim(h,l);g=ye({inputs:{x:A},backend:n,attrs:{shape:y}})}else g=ye({inputs:{x:A},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(A),c!=null&&n.disposeIntermediateTensorInfo(d),g}var qQ={kernelName:Va,backendName:"webgl",kernelFunc:jQ},XQ=E6+`
return min(a, b);
`,KQ=`
vec4 result = vec4(min(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
`+pf+`
return result;
`,ZQ=rn({opSnippet:XQ,packedOpSnippet:KQ,cpuKernelImpl:jq}),YQ={kernelName:Ua,backendName:"webgl",kernelFunc:ZQ},JQ=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,c)=>u[0]+e[c]+u[1]);let s=e.length,r=ct(s),a=t.map(u=>u[0]).join(","),o=t.map((u,c)=>u[0]+e[c]).join(","),i=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,s),l=n==="reflect"?0:1;if(s===1){this.userCode=`
int start = ${a};
int end = ${o};
void main() {
int outC = getOutputCoords();
if (outC < start) {
outC = start * 2 - outC - ${l};
} else if(outC >= end) {
outC = (end - 1) * 2 - outC + ${l};
}
setOutput(getX(outC - start));
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}
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`;return}this.userCode=`
${r} start = ${r}(${a});
${r} end = ${r}(${o});
void main() {
${r} outC = getOutputCoords();
for (int i = 0; i < ${s}; i++) {
if (outC[i] < start[i]) {
outC[i] = start[i] * 2 - outC[i] - ${l};
} else if(outC[i] >= end[i]) {
outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};
}
}
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${r} coords = outC - start;
setOutput(getX(${i}));
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}
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`}},QQ=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((p,f)=>p[0]+e[f]+p[1]);let s=e.length,r=ct(s),a=t.map(p=>p[0]).join(","),o=t.map((p,f)=>p[0]+e[f]).join(","),i=vn("rc",s),l=vn("source",s),u=`${i[s-1]} < ${this.outputShape[s-1]}`,c=s===1?"source":`vec2(${l.slice(-2).join()})`,d=n==="reflect"?0:1,h="";if(s===1){let p=`
${r} source = rc;
if (source < start) {
source = start * 2 - source - ${d};
} else if (source >= end) {
source = (end - 1) * 2 - source + ${d};
}
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source -= start;
`;h=`
${r} rc = outputLoc;
${p}
result[0] = getChannel(getX(${l.join()}), ${c});
${i[s-1]} += 1;
if(${u}) {
${p}
result[1] = getChannel(getX(${l.join()}), ${c});
}
`}else{let p=`
${r} source = rc;
${r} lt = ${r}(lessThan(source, start));
${r} gte = ${r}(greaterThanEqual(source, end));
${r} orig = 1 - (lt + gte);
source = orig * source +
lt * (start * 2 - source - ${d}) +
gte * ((end - 1) * 2 - source + ${d});
source -= start;
`;h=`
${r} rc = outputLoc;
${p}
result[0] = getChannel(getX(${l.join()}), ${c});
${i[s-1]} += 1;
if(${u}) {
${p}
result[1] = getChannel(getX(${l.join()}), ${c});
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}
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rc = outputLoc;
${i[s-2]} += 1;
if(${i[s-2]} < ${this.outputShape[s-2]}) {
${p}
result[2] = getChannel(getX(${l.join()}), ${c});
${i[s-1]} += 1;
if(${u}) {
${p}
result[3] = getChannel(getX(${l.join()}), ${c});
}
}
`}this.userCode=`
const ${r} start = ${r}(${a});
const ${r} end = ${r}(${o});
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void main() {
${r} outputLoc = getOutputCoords();
vec4 result = vec4(0.);
${h}
setOutput(result);
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}
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`}},eee=({inputs:e,backend:t,attrs:n})=>{let{x:s}=e,{paddings:r,mode:a}=n,o=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new QQ(s.shape,r,a):new JQ(s.shape,r,a);return t.runWebGLProgram(o,[s],s.dtype)},tee={kernelName:Ha,backendName:"webgl",kernelFunc:eee},nee=`if (b == 0.0) return NAN;
return mod(a, b);`,see=`
vec4 result = mod(a, b);
vec4 isNaN = vec4(equal(b, vec4(0.0)));
`+pf+`
return result;
`,ree=rn({opSnippet:nee,packedOpSnippet:see}),aee={kernelName:Wi,backendName:"webgl",kernelFunc:ree},oee=class{constructor(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
float r = random(seed);
float cdf = 0.0;
for (int i = 0; i < ${t-1}; i++) {
cdf += getProbs(batch, i);
if (r < cdf) {
setOutput(float(i));
return;
}
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}
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// If no other event happened, last event happened.
setOutput(float(${t-1}));
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}
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`}},iee=`
if (a == b) {
return 1.0;
};
return a / b;`,lee=`
// 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.;
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}
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if(a.y == b.y) {
result.y = 1.;
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}
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if(a.z == b.z) {
result.z = 1.;
}
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if(a.w == b.w) {
result.w = 1.;
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}
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return result;
`,h4=rn({opSnippet:iee,packedOpSnippet:lee,checkOutOfBounds:!0}),uee={kernelName:Ea,backendName:"webgl",kernelFunc:h4},p4="return a - b;",f4=rn({opSnippet:p4,packedOpSnippet:p4,supportsComplex:!0,cpuKernelImpl:oX}),cee={kernelName:lo,backendName:"webgl",kernelFunc:f4};function m4(e){let{inputs:t,backend:n,attrs:s}=e,{logits:r}=t,{dim:a}=s,o=I.parseAxisParam([a],r.shape),i=d4({inputs:{x:r},backend:n,attrs:{reductionIndices:o,keepDims:!1}}),l=$.expandShapeToKeepDim(i.shape,o),u=ye({inputs:{x:i},backend:n,attrs:{shape:l}}),c=f4({inputs:{a:r,b:u},backend:n}),d=a4({inputs:{x:c},backend:n}),h=Af({inputs:{x:d},backend:n,attrs:{axis:o,keepDims:!1}}),p=ye({inputs:{x:h},backend:n,attrs:{shape:l}}),f=h4({inputs:{a:d,b:p},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(p),f}var dee={kernelName:oo,backendName:"webgl",kernelFunc:m4};function hee(e){let{inputs:t,backend:n,attrs:s}=e,{logits:r}=t,{numSamples:a,seed:o,normalized:i}=s,l=i?r:m4({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],c=l.shape[1],d=new oee(u,c,a),h=[[o]],p=n.runWebGLProgram(d,[l],"int32",h);return i||n.disposeIntermediateTensorInfo(l),p}var pee={kernelName:ih,backendName:"webgl",kernelFunc:hee},A4="return -x;";function fee(e){let{inputs:t,backend:n}=e,{x:s}=t;if(n.shouldExecuteOnCPU([s])){let a=n.texData.get(s.dataId),[o,i]=Xq(a.values,s.shape,s.dtype);return n.makeTensorInfo(i,s.dtype,o)}let r;return ee().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Yl(s.shape,A4):r=new sa(s.shape,A4),n.runWebGLProgram(r,[s],s.dtype)}var mee={kernelName:Vi,backendName:"webgl",kernelFunc:fee},Aee=Js.nonMaxSuppressionV3Impl;function gee(e){$.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:s}=e,{boxes:r,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l}=s,u=n.readSync(r.dataId),c=n.readSync(a.dataId),{selectedIndices:d}=Aee(u,c,o,i,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var yee={kernelName:Hi,backendName:"webgl",kernelFunc:gee},xee=Js.nonMaxSuppressionV4Impl;function bee(e){$.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:s}=e,{boxes:r,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l,padToMaxOutputSize:u}=s,c=n.readSync(r.dataId),d=n.readSync(a.dataId),{selectedIndices:h,validOutputs:p}=xee(c,d,o,i,l,u);return[n.makeTensorInfo([h.length],"int32",new Int32Array(h)),n.makeTensorInfo([],"int32",new Int32Array([p]))]}var vee={kernelName:Gi,backendName:"webgl",kernelFunc:bee},wee=Js.nonMaxSuppressionV5Impl;function kee(e){$.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:s}=e,{boxes:r,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l,softNmsSigma:u}=s,c=n.readSync(r.dataId),d=n.readSync(a.dataId),h=o,p=i,f=l,m=u,{selectedIndices:A,selectedScores:g}=wee(c,d,h,p,f,m);return[n.makeTensorInfo([A.length],"int32",new Int32Array(A)),n.makeTensorInfo([g.length],"float32",new Float32Array(g))]}var Iee={kernelName:ji,backendName:"webgl",kernelFunc:kee},See=class{constructor(e,t,n,s){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int index = round(getIndices(coords.x));
setOutput(mix(float(${s}), float(${n}),
float(index == coords.y)));
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}
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`}},Cee=e=>{let{inputs:t,backend:n,attrs:s}=e,{indices:r}=t,{depth:a,onValue:o,offValue:i}=s,l=I.sizeFromShape(r.shape),u=new See(l,a,o,i),c=ye({inputs:{x:r},backend:n,attrs:{shape:[l]}}),d=n.runWebGLProgram(u,[c],r.dtype);n.disposeIntermediateTensorInfo(c);let h=[...r.shape,a],p=ye({inputs:{x:d},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(d),p},Tee={kernelName:ja,backendName:"webgl",kernelFunc:Cee};function wf(e){let{inputs:t,backend:n}=e,{x:s}=t;if(s.dtype==="complex64"){let r=Gc({inputs:{input:s},backend:n}),a=wf({inputs:{x:r},backend:n}),o=bf({inputs:{input:s},backend:n}),i=wf({inputs:{x:o},backend:n}),l=ra({inputs:{real:a,imag:i},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(i),l}else return vf({attrs:{shape:s.shape,dtype:s.dtype,value:s.dtype==="string"?"":0},backend:n})}var Nee={kernelName:dl,backendName:"webgl",kernelFunc:wf};function g4(e){let{inputs:t,backend:n}=e,{x:s}=t;if(s.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(s.dtype==="complex64"){let r=Gc({inputs:{input:s},backend:n}),a=g4({inputs:{x:r},backend:n}),o=bf({inputs:{input:s},backend:n}),i=wf({inputs:{x:o},backend:n}),l=ra({inputs:{real:a,imag:i},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(i),l}else return vf({attrs:{shape:s.shape,dtype:s.dtype,value:1},backend:n})}var Eee={kernelName:qi,backendName:"webgl",kernelFunc:g4};function Ree(e){let{inputs:t,backend:n,attrs:s}=e,{axis:r}=s;if(t.length===1)return R1({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let a=t[0].shape,o=t[0].dtype;t.forEach(c=>{I.assertShapesMatch(a,c.shape,"All tensors passed to stack must have matching shapes"),I.assert(o===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],l=t.map(c=>{let d=R1({inputs:{input:c},backend:n,attrs:{dim:r}});return i.push(d),d}),u=K6({inputs:l,backend:n,attrs:{axis:r}});return i.forEach(c=>n.disposeIntermediateTensorInfo(c)),u}var _ee={kernelName:Xi,backendName:"webgl",kernelFunc:Ree},$ee=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let s=e.length,r=ct(s),a=t.map(l=>l[0]).join(","),o=t.map((l,u)=>l[0]+e[u]).join(","),i=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,s);if(s===1){this.userCode=`
int start = ${a};
int end = ${o};
void main() {
int outC = getOutputCoords();
if (outC < start || outC >= end) {
setOutput(value);
} else {
setOutput(getX(outC - start));
}
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}
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`;return}this.userCode=`
${r} start = ${r}(${a});
${r} end = ${r}(${o});
void main() {
${r} outC = getOutputCoords();
if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
setOutput(value);
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} else {
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${r} coords = outC - start;
setOutput(getX(${i}));
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}
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}
`}},Fee=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((f,m)=>f[0]+e[m]+f[1]);let s=e.length,r=ct(s),a=t.map(f=>f[0]).join(","),o=t.map((f,m)=>f[0]+e[m]).join(","),i=vn("rc",s),l=vn("source",s),u=`${i[s-1]} < ${this.outputShape[s-1]}`,c=s===1?"source":`vec2(${l.slice(-2).join()})`,d=[`${r} rc = outputLoc;`,`${i[s-1]} += 1;
if(${u}) {
`,s===1?"":`}
rc = outputLoc;
${i[s-2]} += 1;
if(${i[s-2]} < ${this.outputShape[s-2]}) {`,s===1?"":` ${i[s-1]} += 1;
if(${u}) {`],h=s===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",p="";for(let f=0,m=s===1?2:4;f<m;f++)p+=`
${d[f]}
if (${h}) {
result[${f}] = float(value);
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} else {
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${r} source = rc - start;
result[${f}] = getChannel(getX(${l.join()}), ${c});
2021-06-07 02:34:29 +02:00
}
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`;p+=s===1?"} ":"}}",this.userCode=`
const ${r} start = ${r}(${a});
const ${r} end = ${r}(${o});
void main() {
${r} outputLoc = getOutputCoords();
vec4 result = vec4(0.);
${p}
setOutput(result);
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}
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`}},y4=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{paddings:a,constantValue:o}=s,i=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Fee(r.shape,a,o):new $ee(r.shape,a,o),l=[[o]];return n.runWebGLProgram(i,[r],r.dtype,l)},Dee={kernelName:qa,backendName:"webgl",kernelFunc:y4},Oee=`
if(a < 0.0 && floor(b) < b){
return NAN;
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}
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if (b == 0.0) {
return 1.0;
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}
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return (round(mod(b, 2.0)) != 1) ?
pow(abs(a), b) : sign(a) * pow(abs(a), b);
`,Pee=`
// isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));
vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);
vec4 result = multiplier * pow(abs(a), b);
// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
bvec4 isExpZero = equal(b, vec4(0.0));
result.r = isExpZero.r ? 1.0 : result.r;
result.g = isExpZero.g ? 1.0 : result.g;
result.b = isExpZero.b ? 1.0 : result.b;
result.a = isExpZero.a ? 1.0 : result.a;
vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));
`+pf+`
return result;
`,Mee=rn({opSnippet:Oee,packedOpSnippet:Pee}),zee={kernelName:Xa,backendName:"webgl",kernelFunc:Mee};function Lee(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=[],u=I.parseAxisParam(a,r.shape),c=u,d=$.getAxesPermutation(c,i),h=r;d!=null&&(h=wn({inputs:{x:r},backend:n,attrs:{perm:d}}),c=$.getInnerMostAxes(c.length,i),l.push(h)),$.assertAxesAreInnerMostDims("prod",c,i);let p;if(n.shouldExecuteOnCPU([h])){let f=n.texData.get(h.dataId).values,{outVals:m,outShape:A,outDtype:g}=Zq(h.shape,h.dtype,f,c);p=n.makeTensorInfo(A,g,m)}else{let[f,m]=$.computeOutAndReduceShapes(h.shape,c),A=I.sizeFromShape(m),g=ye({inputs:{x:h},backend:n,attrs:{shape:[-1,A]}}),y=Ch(r.dtype),x=Go(g,y,"prod",n);p=ye({inputs:{x},backend:n,attrs:{shape:f}}),l.push(g),l.push(x)}if(o){l.push(p);let f=$.expandShapeToKeepDim(p.shape,u);p=ye({inputs:{x:p},backend:n,attrs:{shape:f}})}return l.forEach(f=>n.disposeIntermediateTensorInfo(f)),p}var Bee={kernelName:Ki,backendName:"webgl",kernelFunc:Lee},x4=e=>{let{backend:t,attrs:n}=e,{start:s,stop:r,step:a,dtype:o}=n,i=Yq(s,r,a,o);return t.makeTensorInfo([i.length],o,i)},Wee={kernelName:Pu,backendName:"webgl",kernelFunc:x4},Vee="return 1.0 / x;",Uee=Ze({opSnippet:Vee}),Hee={kernelName:Zi,backendName:"webgl",kernelFunc:Uee},Gee=Bs+`
return (x < 0.0) ? 0.0 : x;
`,jee=`
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;
`,qee=Ze({opSnippet:Gee,packedOpSnippet:jee}),Xee={kernelName:Za,backendName:"webgl",kernelFunc:qee},Kee=Bs+`
return (x < 0.0) ? 0.0 : min(6.0, x);
`,Zee=`
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;
`,Yee=Ze({opSnippet:Kee,packedOpSnippet:Zee}),Jee={kernelName:Ja,backendName:"webgl",kernelFunc:Yee},Qee=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d;r?d="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
const vec2 effectiveInputOverOutputRatioRC = vec2(
${u[0]/c[0]},
${u[1]/c[1]});
const vec2 inputShapeRC = vec2(${o}.0, ${i}.0);
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
// Fractional source index.
vec2 sourceFracIndexRC = ${d};
// 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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`}},ete=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d;r?d="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
const vec3 effectiveInputOverOutputRatioRC = vec3(
${u[0]/c[0]},
${u[1]/c[1]},
${u[1]/c[1]});
const vec3 inputShapeRC = vec3(${o}.0, ${i}.0,
${i}.0);
float getAValue(int b, int r, int c, int d) {
return getChannel(getA(b, r, c, d), vec2(c, d));
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}
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
// Calculate values for next column in yRC.z.
ivec3 yRC = coords.yzz + ivec3(0, 0, 1);
// Fractional source index.
vec3 sourceFracIndexRC = ${d};
// Compute the four integer indices.
ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));
ivec3 sourceCeilRC = ivec3(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < ${l-1};
bool hasNextRow = coords.z < ${n-1};
// In parallel, construct four corners for all four components in
// packed 2x2 cell.
vec4 topLeft = vec4(
getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),
hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);
vec4 bottomLeft = vec4(
getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),
hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);
vec4 topRight = vec4(
getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),
hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);
vec4 bottomRight = vec4(
getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),
hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);
vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);
vec4 top = mix(topLeft, topRight, fracRC.yyzz);
vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);
vec4 newValue = mix(top, bottom, fracRC.x);
setOutput(newValue);
}
`}};function tte(e){let{inputs:t,backend:n,attrs:s}=e,{images:r}=t,{alignCorners:a,halfPixelCenters:o,size:i}=s,[l,u]=i,c=ee().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new ete(r.shape,l,u,a,o):new Qee(r.shape,l,u,a,o);return n.runWebGLProgram(c,[r],"float32")}var nte={kernelName:Ya,backendName:"webgl",kernelFunc:tte},ste=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,s,r]=t,[,a,o]=e,i=[n&&a>1?s-1:s,n&&o>1?r-1:r],l=[n&&a>1?a-1:a,n&&o>1?o-1:o],u=i[0]/l[0],c=i[1]/l[1],d=1/u,h=1/c,p=Math.ceil(d)*2+2,f=Math.ceil(h)*2+2;this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
float accumulator = 0.0;
const float heightScale = float(${u});
const float widthScale = float(${c});
const float invHeightScale = float(${d});
const float invWidthScale = float(${h});
const int winHeight = int(${p});
const int winWidth = int(${f});
// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(startRLerp - float(winHeight / 2));
float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(startCLerp - float(winWidth / 2));
// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
// Guard against the window exceeding the bounds of dy
if (dyR < 0 || dyR >= ${a}) {
continue;
}
for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
int dyC = dyCOffset + startDyC;
// Guard against the window exceeding the bounds of dy
if (dyC < 0 || dyC >= ${o}) {
continue;
}
float dxR = float(dyR) * heightScale;
int topDxRIndex = int(floor(dxR));
int bottomDxRIndex = int(min(ceil(dxR), ${s-1}.0));
float dxRLerp = dxR - float(topDxRIndex);
float inverseDxRLerp = 1.0 - dxRLerp;
float dxC = float(dyC) * widthScale;
int leftDxCIndex = int(floor(dxC));
int rightDxCIndex = int(min(ceil(dxC), ${r-1}.0));
float dxCLerp = dxC - float(leftDxCIndex);
float inverseDxCLerp = 1.0 - dxCLerp;
if (r == topDxRIndex && c == leftDxCIndex) {
// topLeft
accumulator +=
getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;
}
if (r == topDxRIndex && c == rightDxCIndex) {
// topRight
accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;
}
if (r == bottomDxRIndex && c == leftDxCIndex) {
// bottomLeft
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;
}
if (r == bottomDxRIndex && c == rightDxCIndex) {
// bottomRight
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;
}
}
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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 rte(e){let{inputs:t,backend:n,attrs:s}=e,{images:r,dy:a}=t,{alignCorners:o}=s,i=new ste(a.shape,r.shape,o);return n.runWebGLProgram(i,[a],a.dtype)}var ate={kernelName:ch,backendName:"webgl",kernelFunc:rte},ote=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d=s?"0.5":"0.0",h;r?h="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":h="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
const vec2 effectiveInputOverOutputRatioRC = vec2(
${u[0]/c[0]},
${u[1]/c[1]});
const vec2 inputShapeRC = vec2(${o}.0, ${i}.0);
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
// Fractional source index.
vec2 sourceFracIndexRC = ${h};
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2(
min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${d})));
float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);
setOutput(newValue);
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}
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`}},ite=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d=s?"0.5":"0.0",h;r?h="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":h="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
const vec3 effectiveInputOverOutputRatioRC = vec3(
${u[0]/c[0]},
${u[1]/c[1]},
${u[1]/c[1]});
const vec3 inputShapeRC = vec3(${o}.0, ${i}.0,
${i}.0);
float getAValue(int b, int r, int c, int d) {
return getChannel(getA(b, r, c, d), vec2(c, d));
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}
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
// Calculate values for next column in yRC.z.
ivec3 yRC = coords.yzz + ivec3(0, 0, 1);
// Fractional source index.
vec3 sourceFracIndexRC = ${h};
// Compute the coordinators of nearest neighbor point.
ivec3 sourceNearestRC = ivec3(
min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${d})));
// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < ${l-1};
bool hasNextRow = coords.z < ${n-1};
vec4 newValue = vec4(
getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),
hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);
setOutput(newValue);
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}
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`}};function lte(e){let{inputs:t,backend:n,attrs:s}=e,{images:r}=t,{alignCorners:a,halfPixelCenters:o,size:i}=s,[l,u]=i,c=ee().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new ite(r.shape,l,u,a,o):new ote(r.shape,l,u,a,o);return n.runWebGLProgram(c,[r],r.dtype)}var ute={kernelName:Mu,backendName:"webgl",kernelFunc:lte},cte=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,s,r]=t,[,a,o]=e,i=[n&&a>1?s-1:s,n&&o>1?r-1:r],l=[n&&a>1?a-1:a,n&&o>1?o-1:o],u=i[0]/l[0],c=i[1]/l[1],d=1/u,h=1/c,p=Math.ceil(d)*2+2,f=Math.ceil(h)*2+2;this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
float accumulator = 0.0;
const float heightScale = float(${u});
const float widthScale = float(${c});
const float invHeightScale = float(${d});
const float invWidthScale = float(${h});
const int winHeight = int(${p});
const int winWidth = int(${f});
// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(floor(startRLerp - float(winHeight / 2)));
float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(floor(startCLerp - float(winWidth / 2)));
// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
// Guard against the window exceeding the bounds of dy
if (dyR < 0 || dyR >= ${a}) {
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continue;
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}
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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
if (dyC < 0 || dyC >= ${o}) {
continue;
}
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float sourceFracRow =
float(${i[0]}) *
(float(dyR) / float(${l[0]}));
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float sourceFracCol =
float(${i[1]}) *
(float(dyC) / float(${l[1]}));
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int sourceNearestRow = int(min(
float(int(${s}) - 1),
${n} ? float(round(sourceFracRow)) :
float(floor(sourceFracRow))));
int sourceNearestCol = int(min(
float(int(${r}) - 1),
${n} ? float(round(sourceFracCol)) :
float(floor(sourceFracCol))));
if (r == sourceNearestRow && c == sourceNearestCol) {
accumulator += getDy(b, dyR, dyC, d);
}
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}
}
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// End loop over dy
setOutput(accumulator);
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}
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`}};function dte(e){let{inputs:t,backend:n,attrs:s}=e,{images:r,dy:a}=t,{alignCorners:o}=s,i=new cte(a.shape,r.shape,o);return n.runWebGLProgram(i,[a],a.dtype)}var hte={kernelName:uh,backendName:"webgl",kernelFunc:dte},pte=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=`
void main() {
int coord = getOutputCoords();
setOutput(getX(${e[0]} - coord - 1));
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}
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`;return}let s=o=>t.indexOf(o)!==-1&&e[o]!==1?`${e[o]} - coords[${o}] - 1`:`coords[${o}]`,r=e.map((o,i)=>s(i)).join(","),a=ct(n);this.userCode=`
void main() {
${a} coords = getOutputCoords();
setOutput(getX(${r}));
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}
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`}},fte=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-${n} tensor is not yet supported`);this.outputShape=e;let s=vn("rc",n),r=`${s[n-1]} + 1 < ${this.outputShape[n-1]}`,a=`${s[n-2]} + 1 < ${this.outputShape[n-2]}`,o=ct(n);n===1?this.userCode=`
void main(){
int rc = getOutputCoords();
vec4 result = vec4(0.);
result.r = getChannel(getX(${e[0]} - rc - 1),
${e[0]} - rc - 1);
if(${r}){
result.g = getChannel(getX(${e[0]} - (rc + 1) - 1),
${e[0]} - (rc + 1) - 1);
}
setOutput(result);
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}
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`:this.userCode=`
void main() {
${o} rc = getOutputCoords();
vec4 result = vec4(0.);
result.r = ${i(s.slice())};
if(${r}){
result.g = ${l(s.slice())};
}
if(${a}) {
result.b = ${u(s.slice())};
if(${r}) {
result.a = ${c(s.slice())};
}
}
setOutput(result);
}
`;function i(p){return d(p)}function l(p){return p[n-1]="("+p[n-1]+" + 1)",d(p)}function u(p){return p[n-2]="("+p[n-2]+" + 1)",d(p)}function c(p){return p[n-1]="("+p[n-1]+" + 1)",p[n-2]="("+p[n-2]+" + 1)",d(p)}function d(p){let f=e.map((g,y)=>h(y,p)),m=f.join(","),A=f.slice(-2).join(",");return`getChannel(getX(${m}), vec2(${A}))`}function h(p,f){return t.indexOf(p)!==-1&&e[p]!==1?`${e[p]} - ${f[p]} - 1`:`${f[p]}`}}};function mte(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{dims:a}=s,o=r.shape.length,i=I.parseAxisParam(a,r.shape);if(o===0)return qn({inputs:{x:r},backend:n});let l=ee().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new fte(r.shape,i):new pte(r.shape,i);return n.runWebGLProgram(l,[r],r.dtype)}var Ate={kernelName:Qa,backendName:"webgl",kernelFunc:mte},gte=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=e[1],s=e[2];this.outputShape=e;let r="";typeof t=="number"?r=`float outputValue = ${t.toFixed(2)};`:r=`
vec3 fill = vec3(${t.join(",")});
float outputValue = fill[coords[3]];`,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
int y = coords[1];
float coordXFloat = (float(x) - params[0]) * params[3] -
(float(y) - params[1]) * params[2];
float coordYFloat = (float(x) - params[0]) * params[2] +
(float(y) - params[1]) * params[3];
int coordX = int(round(coordXFloat + params[0]));
int coordY = int(round(coordYFloat + params[1]));
${r}
if(coordX >= 0 && coordX < ${s} && coordY >= 0 && coordY < ${n}) {
outputValue = getImage(coords[0], coordY, coordX, coords[3]);
}
setOutput(outputValue);
}
`}},yte={kernelName:hl,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:s}=e,{radians:r,fillValue:a,center:o}=t,i=n,l=new gte(s.shape,a),[u,c]=$.getImageCenter(o,s.shape[1],s.shape[2]),d=[[u,c,Math.sin(r),Math.cos(r)]];return i.runWebGLProgram(l,[s],s.dtype,d)}},xte=`
// 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;
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} else {
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return base + 1.0;
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}
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}
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`,bte=Ze({opSnippet:xte}),vte={kernelName:eo,backendName:"webgl",kernelFunc:bte},wte="return inversesqrt(x);",kte=Ze({opSnippet:wte,cpuKernelImpl:Jq}),Ite={kernelName:to,backendName:"webgl",kernelFunc:kte},b4=class{constructor(e,t,n,s,r,a,o=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;let i=ct(r.length),l=ct(a.length),u="";n===1?u="i":n===2&&(u="i, j");let c=`getIndices(${u})`,d="";s===1?d="i":s===2&&(d="i, coords[1]");let h=`getUpdates(${d})`,p=t>1?"strides[j]":"strides";this.userCode=`
${i} strides = ${i}(${r});
void main() {
${l} coords = getOutputCoords();
float sum = 0.0;
bool found = false;
for (int i = 0; i < ${e}; i++) {
int flattenedIndex = 0;
for (int j = 0; j < ${t}; j++) {
int index = round(${c});
flattenedIndex += index * ${p};
}
if (flattenedIndex == coords[0]) {
sum += ${h};
found = true;
}
}
setOutput(mix(getDefaultValue(), sum, float(found)));
}
`}};function Ste(e){let{inputs:t,backend:n,attrs:s}=e,{indices:r,updates:a}=t,{shape:o}=s,{sliceRank:i,numUpdates:l,sliceSize:u,strides:c,outputSize:d}=$.calculateShapes(a,r,o),h=[d/u,u];if(d===0)return n.makeTensorInfo(o,r.dtype);let p=ye({inputs:{x:r},backend:n,attrs:{shape:[l,i]}}),f=ye({inputs:{x:a},backend:n,attrs:{shape:[l,u]}}),m=n.makeTensorInfo([],"float32",new Float32Array([0])),A=new b4(l,i,p.shape.length,f.shape.length,c,h),g=n.runWebGLProgram(A,[f,p,m],f.dtype),y=ye({inputs:{x:g},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),n.disposeIntermediateTensorInfo(m),y}var Cte={kernelName:Ji,backendName:"webgl",kernelFunc:Ste},Tte=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let s,r;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)r="resRC",s="resRC";else{let o=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],l=[];for(let u=0;u<t.length;u++)l.push(`${o[u]}`),u<e&&i.push(`${o[u]}`);s=i.join(),r=l.join()}let a=ct(n);this.userCode=`
void main() {
${a} resRC = getOutputCoords();
float cVal = getC(${s});
if (cVal >= 1.0) {
setOutput(getA(${r}));
} else {
setOutput(getB(${r}));
}
}
`}};function Nte(e){let{inputs:t,backend:n}=e,{condition:s,t:r,e:a}=t,o=new Tte(s.shape.length,r.shape,r.shape.length);return n.runWebGLProgram(o,[s,r,a],bs(r.dtype,a.dtype))}var Ete={kernelName:Qi,backendName:"webgl",kernelFunc:Nte},Rte=`
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = ${$.SELU_SCALEALPHA};
float scale = ${$.SELU_SCALE};
return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
`,_te=Ze({opSnippet:Rte}),$te={kernelName:el,backendName:"webgl",kernelFunc:_te},Fte="return 1.0 / (1.0 + exp(-1.0 * x));",Dte=Ze({opSnippet:Fte}),Ote={kernelName:so,backendName:"webgl",kernelFunc:Dte},Pte=`
if (isnan(x)) { return 0.0; }
return sign(x);
`,Mte=Ze({opSnippet:Pte}),zte={kernelName:sl,backendName:"webgl",kernelFunc:Mte},Lte=D6+`
return sin(x);
`,Bte=Ze({opSnippet:Lte}),Wte={kernelName:no,backendName:"webgl",kernelFunc:Bte},Vte=`
float e2x = exp(x);
return (e2x - 1.0 / e2x) / 2.0;
`,Ute=Ze({opSnippet:Vte}),Hte={kernelName:nl,backendName:"webgl",kernelFunc:Ute},Gte=`
float epsilon = 1.1920928955078125e-7;
float threshold = log(epsilon) + 2.0;
bool too_large = x > -threshold;
bool too_small = x < threshold;
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float result;
float exp_x = exp(x);
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if (too_large){
result = x;
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}
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else if (too_small){
result = exp_x;
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}
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else{
result = log(exp_x + 1.0);
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}
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return result;
`,jte=Ze({opSnippet:Gte}),qte={kernelName:rl,backendName:"webgl",kernelFunc:jte},Xte=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{blockShape:a,paddings:o}=s;I.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let i=a.reduce((g,y)=>g*y),l=[[0,0]];l.push(...o);for(let g=1+a.length;g<r.shape.length;++g)l.push([0,0]);let u=[],c=y4({inputs:{x:r},backend:n,attrs:{paddings:l,constantValue:0}}),d=$.getReshaped(c.shape,a,i,!1),h=$.getPermuted(d.length,a.length,!1),p=$.getReshapedPermuted(c.shape,a,i,!1),f=ye({inputs:{x:c},backend:n,attrs:{shape:d}}),m=wn({inputs:{x:f},backend:n,attrs:{perm:h}}),A=ye({inputs:{x:m},backend:n,attrs:{shape:p}});return u.push(c),u.push(f),u.push(m),u.forEach(g=>n.disposeIntermediateTensorInfo(g)),A},Kte={kernelName:al,backendName:"webgl",kernelFunc:Xte};function Zte(e){let{inputs:t,backend:n}=e,{indices:s,values:r,denseShape:a,defaultValue:o}=t;if(a.shape.length!==1)throw new Error(`Dense shape must be a vector, saw:
${a.shape}`);if(s.shape.length!==2)throw new Error(`Indices must be a matrix, saw:
${s.shape}`);if(r.shape.length!==1)throw new Error(`Values must be a vector, saw:
${r.shape}`);if(o.shape.length!==0)throw new Error(`Default value must be a scalar, saw:
${o.shape}`);let i=n.readSync(s.dataId),l=n.readSync(r.dataId),u=n.readSync(a.dataId),c=n.readSync(o.dataId)[0],[d,h,p,f,m]=eX(i,s.shape,s.dtype,l,r.dtype,u,c);return[n.makeTensorInfo(h,s.dtype,d),n.makeTensorInfo([h[0]],r.dtype,p),n.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(A=>Number(A)))),n.makeTensorInfo([m.length],s.dtype,new Int32Array(m))]}var Yte={kernelName:dh,backendName:"webgl",kernelFunc:Zte};function Jte(e){let{inputs:t,backend:n}=e,{inputIndices:s,inputShape:r,newShape:a}=t;if(s.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${s.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${r.shape}`);if(a.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${a.shape}`);let o=Array.from(n.readSync(r.dataId)),i=n.readSync(s.dataId),l=Array.from(n.readSync(a.dataId)),[u,c,d]=tX(i,s.shape,s.dtype,o,l);return[n.makeTensorInfo(c,s.dtype,u),n.makeTensorInfo([d.length],a.dtype,new Int32Array(d))]}var Qte={kernelName:hh,backendName:"webgl",kernelFunc:Jte};function ene(e){let{inputs:t,backend:n}=e,{data:s,indices:r,segmentIds:a}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape
${r.shape}`);if(a.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
${a.shape}`);let o=n.readSync(s.dataId),i=n.readSync(r.dataId),l=n.readSync(a.dataId),[u,c]=v6(o,s.shape,s.dtype,i,l,!0);return n.makeTensorInfo(c,s.dtype,u)}var tne={kernelName:ph,backendName:"webgl",kernelFunc:ene};function nne(e){let{inputs:t,backend:n}=e,{data:s,indices:r,segmentIds:a}=t;if(s.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape
${r.shape}`);if(a.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
${a.shape}`);let o=n.readSync(s.dataId),i=n.readSync(r.dataId),l=n.readSync(a.dataId),[u,c]=v6(o,s.shape,s.dtype,i,l);return n.makeTensorInfo(c,s.dtype,u)}var sne={kernelName:fh,backendName:"webgl",kernelFunc:nne};function rne(e){let{inputs:t,backend:n,attrs:s}=e,{sparseIndices:r,sparseValues:a,defaultValue:o}=t,{outputShape:i}=s,{sliceRank:l,numUpdates:u,strides:c,outputSize:d}=$.calculateShapes(a,r,i),h=!1,p=new b4(u,l,r.shape.length,a.shape.length,c,[d,1],h),f=n.runWebGLProgram(p,[a,r,o],a.dtype),m=ye({inputs:{x:f},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(f),m}var ane={kernelName:mh,backendName:"webgl",kernelFunc:rne};function one(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{numOrSizeSplits:a,axis:o}=s,i=I.parseAxisParam(o,r.shape)[0],l=$.prepareSplitSize(r,a,i),u=r.shape.length,c=new Array(u).fill(0),d=r.shape.slice();return l.map(h=>{let p=[...d];p[i]=h;let f=eu({inputs:{x:r},backend:n,attrs:{begin:c,size:p}});return c[i]+=h,f})}var ine={kernelName:ol,backendName:"webgl",kernelFunc:one},lne="return sqrt(x);",une=Ze({opSnippet:lne}),cne={kernelName:ro,backendName:"webgl",kernelFunc:une},dne="return x * x;",hne=Ze({opSnippet:dne}),pne={kernelName:zu,backendName:"webgl",kernelFunc:hne},v4="return (a - b) * (a - b);",fne=rn({opSnippet:v4,packedOpSnippet:v4}),mne={kernelName:io,backendName:"webgl",kernelFunc:fne};function Ane({inputs:e,attrs:t,backend:n}){let{x:s}=e,r=Bs+`
return x > 0.0 ? 1.0 : float(${t.alpha});
`,a=new sa(s.shape,r);return n.runWebGLProgram(a,[s],s.dtype)}var gne={kernelName:Mr,backendName:"webgl",kernelFunc:Ane},yne=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let s=n.length,r=ct(n.length),a=ct(n.length),o="";if(s===1)o="coords * strides + begin";else{let i=0;o=n.map((l,u)=>(i++,n.length===1?`coords * strides[${u}] + begin[${u}]`:`coords[${i-1}] * strides[${u}] + begin[${u}]`)).join(",")}this.userCode=`
${r} begin = ${r}(${e});
${r} strides = ${r}(${t});
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void main() {
${a} coords = getOutputCoords();
setOutput(getX(${o}));
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}
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`}};function xne(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{begin:a,end:o,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:d,shrinkAxisMask:h}=s,{nonStrided:p,$begin:f,$strides:m,size:A,newShape:g,outShape:y}=An.sliceInfo(r.shape,a,o,i,l,u,c,d,h),x=ye({inputs:{x:r},backend:n,attrs:{shape:g}}),b;if(p){let k=eu({inputs:{x},backend:n,attrs:{begin:f,size:A}});b=ye({inputs:{x:k},backend:n,attrs:{shape:y}}),n.disposeIntermediateTensorInfo(k)}else if(y.some(k=>k===0))b=n.makeTensorInfo(y,r.dtype,[]);else if(n.shouldExecuteOnCPU([x])){let C=n.texData.get(x.dataId).values,E=Be(x.shape,x.dtype,C),O=nX(y,E,m,f);b=n.makeTensorInfo(y,x.dtype,O.values)}else{let w=new yne(f,m,y);b=n.runWebGLProgram(w,[x],x.dtype)}let v=ye({inputs:{x:b},backend:n,attrs:{shape:y}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(b),v}var bne={kernelName:il,backendName:"webgl",kernelFunc:xne};function vne(e){let{inputs:t,backend:n,attrs:s}=e,{separator:r,nGramWidths:a,leftPad:o,rightPad:i,padWidth:l,preserveShortSequences:u}=s,{data:c,dataSplits:d}=t,h=n.readSync(c.dataId),p=n.readSync(d.dataId),[f,m]=sX(h,p,r,a,o,i,l,u);return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(d.shape,"int32",m)]}var wne={kernelName:Ah,backendName:"webgl",kernelFunc:vne};function kne(e){let{inputs:t,backend:n,attrs:s}=e,{skipEmpty:r}=s,{input:a,delimiter:o}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(a.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${a.shape}`);if(o.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${o.shape}`);let i=n.readSync(a.dataId),l=n.readSync(o.dataId)[0],[u,c,d]=rX(i,l,r),h=c.length;return[n.makeTensorInfo([h,2],"int32",u),n.makeTensorInfo([h],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var Ine={kernelName:gh,backendName:"webgl",kernelFunc:kne};function Sne(e){let{inputs:t,backend:n,attrs:s}=e,{numBuckets:r}=s,{input:a}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let o=n.readSync(a.dataId),i=aX(o,r);return n.makeTensorInfo(a.shape,"int32",i)}var Cne={kernelName:yh,backendName:"webgl",kernelFunc:Sne},Tne="return tan(x);",Nne=Ze({opSnippet:Tne}),Ene={kernelName:uo,backendName:"webgl",kernelFunc:Nne},Rne=`
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float e2x = exp(-2.0 * abs(x));
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
`,_ne=Ze({opSnippet:Rne}),$ne={kernelName:co,backendName:"webgl",kernelFunc:_ne},Fne=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let a=0;a<n.length;a++)n[a]=e[a]*t[a];this.outputShape=n,this.rank=n.length;let s=ct(this.rank),r=Dne(e);this.userCode=`
void main() {
${s} resRC = getOutputCoords();
setOutput(getA(${r}));
}
`}};function Dne(e){let t=e.length;if(t>5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],s=[];for(let r=0;r<e.length;r++)s.push(`imod(${n[r]}, ${e[r]})`);return s.join()}function w4(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{reps:a}=s;if(r.dtype==="string"||r.shape.length>5){let l=n.readSync(r.dataId),u=r.dtype==="string"?l.map(h=>I.decodeString(h)):l,c=Be(r.shape,r.dtype,u),d=iX(c,a);return n.makeTensorInfo(d.shape,d.dtype,d.values)}let o=new Fne(r.shape,a);return n.runWebGLProgram(o,[r],r.dtype)}var One={kernelName:Pr,backendName:"webgl",kernelFunc:w4},Pne=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=`
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int elemIdx = coords[1];
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// We compare elements pair-wise within a group of size 2 * inc.
// The comparing rule for each group alternates between ascending
// and descending. Within each group, we compare each pair at
// positions i and i+inc. To decide whether an element at position i
// is x0 or x1, we mod it by 2 * inc, if the result is smaller than
// inc, it is in the first half of the group, we denote it as x0,
// otherwise we denote it as x1.
// For example, as shown in the Bitonic top K paper referenced above,
// Figure5(a) shows that element[1] is in the
// second half of the group when group size is 2, but it is in the
// first half of the group when group size is 4.
bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;
int i = isFirstInPair ? elemIdx : elemIdx - inc;
int i0 = firstPass == 1 ? i : int(getIndices(batch, i));
int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));
float x0 = i0 < n ? getX(batch, i0) : negativeInf;
float x1 = i1 < n ? getX(batch, i1) : negativeInf;
// Denotes which direction indices are in (ascending or descending).
bool reverse = imod(elemIdx, 2 * dir) >= dir;
bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);
if (reverse == isGreater) { // Elements in opposite order of direction
int iTemp = i0;
i0 = i1;
i1 = iTemp;
}
if (isFirstInPair) {
setOutput(float(i0));
} else {
setOutput(float(i1));
}
}
`}},Mne=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=`
void main() {
// Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...
ivec2 coords = getOutputCoords();
int batch = coords[0];
int elemIdx = coords[1];
// The output size is half of the previous size.
// If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),
// we only need to output the indices at positions |, the indices at
// positions _ can be thrown away, see Figure5(b) After Phase 2
// (Merge phase) in the Bitonic Top K paper referenced above.
// For example, the paper shows we only need to output the orange bars.
// The output sequence should look like this | | | | | | | |.
// Because the sequence is halved, to map the output index back
// to the previous sequence to find the corresponding value,
// we need to double the index. When we double the index,
// we basically interpolate a position, so 2i looks like
// | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position
// of each 2k positions by - elemIdx % k. E.g. for output at
// index 4,5,6,7, we want to get the corresponding element at
// original index 8,9,10,11, for output at index 8,9,10,11,
// we want to get the corresponding element at original index
// 16,17,18,19, so on and so forth.
int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));
int i0 = firstPass == 1 ? i : int(getIndices(batch, i));
int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));
float x0 = getX(batch, i0);
float x1 = i1 < n ? getX(batch, i1) : x0;
setOutput(x0 >= x1 ? float(i0) : float(i1));
}
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`}};function jo(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function k4(e){let t=1;for(;t<e;)t*=2;return t}function zne(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{k:a,sorted:o}=s,i=ee().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),l=ee().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),u=r.shape,c=u[u.length-1];if(n.shouldExecuteOnCPU([r])||c<i||a>l){let O=n.readSync(r.dataId),[R,_]=lX(O,u,r.dtype,a,o);return[n.makeTensorInfo(R.shape,R.dtype,R.values),n.makeTensorInfo(_.shape,_.dtype,_.values)]}if(a===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(c===1)return[r,vf({attrs:{shape:u,dtype:"int32",value:0},backend:n})];let d=n.texData.get(r.dataId),h=d!==null&&d.isPacked,p=h?n.unpackTensor(r):r,m=I.sizeFromShape(u)/c,A=ye({inputs:{x:p},attrs:{shape:[m,c]},backend:n});h&&jo(n,p);let g=k4(a),y=k4(c),x=null,b=()=>x===null?[A,A]:[A,x],v=(O,R,_)=>{let N=b(),P=new Pne(_),j=[[c],[x===null?1:0],[Number.NEGATIVE_INFINITY],[O],[R]],q=x;x=n.runWebGLProgram(P,N,"int32",j),jo(n,q)};for(let O=1;O<g;O*=2){let R=O*2;for(let _=O;_>=1;_/=2)v(R,_,[m,y])}for(let O=y;O>g;O/=2){let R=b(),_=new Mne([m,O/2]),P=[[c],[x===null?1:0],[g]],W=x;x=n.runWebGLProgram(_,R,"int32",P),jo(n,W);let j=g/2,q=j*2;for(let X=j;X>=1;X/=2)v(q,X,x.shape)}let k=x;x=eu({inputs:{x},backend:n,attrs:{begin:0,size:[m,a]}}),jo(n,k);let w=c4({inputs:{x:A,indices:x},backend:n,attrs:{axis:1,batchDims:1}});jo(n,A);let C=u.slice(0,-1);C.push(a),k=x,x=ye({inputs:{x},attrs:{shape:C},backend:n}),jo(n,k);let E=w;return w=ye({inputs:{x:w},attrs:{shape:C},backend:n}),jo(n,E),[w,x]}var Lne={kernelName:ll,backendName:"webgl",kernelFunc:zne},Bne=class{constructor(e,t,n,s,r,a){this.variableNames=["Image","Transforms"],this.outputShape=a;let o=n==="nearest"?1:2,i;switch(s){case"constant":i=1;break;case"reflect":i=2;break;case"wrap":i=3;break;case"nearest":i=4;break;default:i=1;break}this.userCode=`
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float mapCoord(float outCoord, float len) {
float inCoord = outCoord;
if(${i} == 2) {
if (inCoord < 0.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz2 = 2.0 * len;
if (inCoord < sz2) {
inCoord = sz2 * float(int(float(-inCoord / sz2))) +
inCoord;
}
inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;
}
} else if (inCoord > len - 1.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz2 = 2.0 * len;
inCoord -= sz2 * float(int(float(inCoord / sz2)));
if (inCoord >= len) {
inCoord = sz2 - inCoord - 1.0;
}
}
}
return clamp(inCoord, 0.0, len - 1.0);
} else if (${i} == 3) {
if (inCoord < 0.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz = len - 1.0;
inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);
}
} else if (inCoord > len - 1.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz = len - 1.0;
inCoord -= len * float(int(float(inCoord / sz)));
}
}
return clamp(inCoord, 0.0, len - 1.0);
} else if (${i} == 4) {
return clamp(outCoord, 0.0, len - 1.0);
} else {
return outCoord;
}
}
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float readWithFillValue(int batch, int coordY, int coordX,
int channel) {
float outputValue;
if (0 <= coordY && coordY < ${e} && 0 <= coordX && coordX < ${t}) {
outputValue = getImage(batch, coordY, coordX, channel);
} else {
outputValue = float(${r});
}
return outputValue;
}
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void main() {
ivec4 coords = getOutputCoords();
float outputValue;
int batch = coords[0];
int x = coords[2];
int y = coords[1];
int channel = coords[3];
float xf = float(x);
float yf = float(y);
float a1 = getTransforms(batch, 0);
float a2 = getTransforms(batch, 1);
float a3 = getTransforms(batch, 2);
float b1 = getTransforms(batch, 3);
float b2 = getTransforms(batch, 4);
float b3 = getTransforms(batch, 5);
float c1 = getTransforms(batch, 6);
float c2 = getTransforms(batch, 7);
float projection = c1 * xf + c2 * yf + 1.0;
if (projection == 0.0) {
outputValue = float(${r});
} else {
float inX = (a1 * xf + a2 * yf + a3) / projection;
float inY = (b1 * xf + b2 * yf + b3) / projection;
float mapX = mapCoord(inX, float(${t}));
float mapY = mapCoord(inY, float(${e}));
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if (${o} == 1) {
int coordY = int(round(mapY));
int coordX = int(round(mapX));
outputValue = readWithFillValue(batch, coordY, coordX,
channel);
} else {
float yFloor = floor(mapY);
float xFloor = floor(mapX);
float yCeil = yFloor + 1.0;
float xCeil = xFloor + 1.0;
float valueYFloor = (xCeil - mapX) *
readWithFillValue(batch, int(yFloor), int(xFloor), channel) +
(mapX - xFloor) *
readWithFillValue(batch, int(yFloor), int(xCeil), channel);
float valueYCeil = (xCeil - mapX) *
readWithFillValue(batch, int(yCeil), int(xFloor), channel) +
(mapX - xFloor) *
readWithFillValue(batch, int(yCeil), int(xCeil), channel);
outputValue = (yCeil - mapY) * valueYFloor +
(mapY - yFloor) * valueYCeil;
}
}
setOutput(outputValue);
}
`}};function Wne(e){let{inputs:t,backend:n,attrs:s}=e,{image:r,transforms:a}=t,{interpolation:o,fillMode:i,fillValue:l,outputShape:u}=s,[c,d,h,p]=r.shape,[f,m]=u!=null?u:[d,h],A=[c,f,m,p],g=new Bne(d,h,o,i,l,A);return n.runWebGLProgram(g,[r,a],"float32")}var Vne={kernelName:ul,backendName:"webgl",kernelFunc:Wne};function Une(e){let{inputs:t,attrs:n,backend:s}=e,{axis:r}=n,{x:a}=t;jl(a,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let o=s.readSync(a.dataId),{outputValues:i,outputShape:l,indices:u}=uX(o,r,a.shape,a.dtype);return[s.makeTensorInfo(l,a.dtype,i),s.makeTensorInfo([u.length],"int32",u)]}var Hne={kernelName:xh,backendName:"webgl",kernelFunc:Une};function Gne(e){let{inputs:t,backend:n,attrs:s}=e,{value:r}=t,{axis:a}=s;a<0&&(a+=r.shape.length);let o=r,i=o.shape.length,l=r.shape[a],u=new Array(i-1),c=0;for(let m=0;m<i;m++)m!==a&&(u[c++]=o.shape[m]);let d=[],h=new Array(i).fill(0),p=o.shape.slice();p[a]=1;let f=new Array(l);for(let m=0;m<f.length;m++){h[a]=m;let A=eu({inputs:{x:o},backend:n,attrs:{begin:h,size:p}}),g=ye({inputs:{x:A},backend:n,attrs:{shape:u}});f[m]=g,d.push(A)}return d.forEach(m=>n.disposeIntermediateTensorInfo(m)),f}var jne={kernelName:cl,backendName:"webgl",kernelFunc:Gne},qne=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,s=e.batchSize,r=e.inSize,a=e.numSegments,o=a*Math.ceil(r/n);this.outputShape=[s,o];let i="0.0",l="sumValue",u=Math.floor(n/4)*4,c=n%4,d=`
sumValue += dot(values, segFilter);
`,h="";r%n>0&&(h=`
if (inIdx < 0 || inIdx >= ${r}) {
return initializationValue;
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}
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`);let p="";r%n>0&&(p=`
if (inIdx < 0 || inIdx >= ${r}) {
return -1.0;
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}
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`),this.userCode=`
const float initializationValue = ${i};
float getValue(int batch, int inIdx) {
${h}
return getX(batch, inIdx);
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}
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float getSegmentIdAtIndex(int inIdx) {
${p}
return getSegmentIds(inIdx);
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}
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = int(floor(float(outIdx) / float(
${a})) * float(${n}));
int currentSeg = int(mod(float(outIdx), float(${a})));
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float sumValue = 0.0;
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for (int i = 0; i < ${u}; i += 4) {
int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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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
);
${d}
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}
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int inIdx = inOffset + ${u};
if (${c===1}) {
vec4 values = vec4(
getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
int inIdxSeg = int(getSegmentIdAtIndex(inIdx));
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
0,
0,
0
);
${d}
} else if (${c===2}) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
0,
0
);
${d}
} else if (${c===3}) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
0
);
${d}
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}
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setOutput(${l});
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}
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`}};function Xne(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,segmentIds:a}=t,{numSegments:o}=s,i=r.shape.length,l=[],u=0,c=$.getAxesPermutation([u],i),d=r;c!=null&&(d=wn({inputs:{x:r},backend:n,attrs:{perm:c}}),l.push(d),u=$.getInnerMostAxes(1,i)[0]);let h=$.segment_util.computeOutShape(d.shape,u,o),p=I.sizeFromShape([d.shape[u]]),f=ye({inputs:{x:d},backend:n,attrs:{shape:[-1,p]}});l.push(f);let m=Ch(r.dtype),A=(b,v,k,w,C)=>{let E=b.shape[0],O=b.shape[1],R=$.segment_util.segOpComputeOptimalWindowSize(O,C),_={windowSize:R,inSize:O,batchSize:E,numSegments:C},N=new qne(_,v),P=n.compileAndRun(N,[b,k],w);if(l.push(P),P.shape[1]===C)return P;let W=x4({backend:n,attrs:{start:0,stop:C,step:1,dtype:"float32"}}),j=w4({inputs:{x:W},backend:n,attrs:{reps:[O/R]}});return l.push(W),l.push(j),A(P,v,j,w,C)},g=A(f,"unsortedSegmentSum",a,m,o),y=ye({inputs:{x:g},backend:n,attrs:{shape:h}}),x=y;if(c!=null){l.push(y);let b=$.getUndoAxesPermutation(c);x=wn({inputs:{x},backend:n,attrs:{perm:b}})}return l.forEach(b=>n.disposeIntermediateTensorInfo(b)),x}var Kne={kernelName:Lu,backendName:"webgl",kernelFunc:Xne},Zne=[wQ,SQ,lK,cK,pK,AK,yK,vK,kK,SK,EK,_K,DK,MK,HK,BK,qK,YK,KK,tZ,sZ,aZ,uZ,AZ,yZ,IZ,CZ,RZ,FZ,UX,zZ,XZ,ZZ,VZ,eY,nY,JZ,aY,lY,dY,pY,mY,yY,IY,CY,bY,EY,$Y,DY,zY,VY,jY,KY,ZY,YY,QY,tJ,sJ,aJ,iJ,dJ,fJ,gJ,xJ,wJ,SJ,EJ,FJ,VX,OJ,PZ,zJ,WJ,HJ,GX,XJ,JJ,eQ,iQ,rQ,dQ,fQ,yQ,TQ,OQ,FQ,LQ,WQ,UQ,_Q,GQ,qQ,YQ,tee,aee,pee,ZX,mee,yee,vee,Iee,bZ,Tee,Eee,_ee,Dee,zee,qX,Bee,Wee,vZ,uee,Hee,Jee,Xee,JX,nte,ate,ute,hte,Ate,yte,vte,Ite,Cte,Ete,$te,Ote,zte,Wte,Hte,fZ,dee,qte,Kte,Yte,Qte,tne,sne,ane,ine,cne,pne,mne,gne,bne,wne,Ine,Cne,cee,aK,Ene,$ne,One,Lne,Vne,oK,Hne,jne,Kne,Nee];for(let e of Zne)Ao(e);var $n;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})($n||($n={}));var jc;(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",e[e.sigmoid=5]="sigmoid"})(jc||(jc={}));var I4;function Yne(e){I4=e.wasm.cwrap(po,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Jne(e){let{inputs:t,backend:n,attrs:s}=e,{a:r,b:a,bias:o,preluActivationWeights:i}=t;if(r.dtype!=="float32"||a.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:c,leakyreluAlpha:d}=s,h=n.dataIdMap.get(r.dataId).id,p=n.dataIdMap.get(a.dataId).id,f=0;if(o!=null){let C=n.dataIdMap.get(o.dataId);if(C.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${C.shape.length}.`);f=C.id}let m=i==null?0:n.dataIdMap.get(i.dataId).id,A=jc[c];if(A==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let g=l?r.shape[2]:r.shape[1],y=u?a.shape[1]:a.shape[2],x=r.shape[0],b=n.makeOutput([x,g,y],r.dtype),v=n.dataIdMap.get(b.dataId).id,k=new Uint8Array(new Int32Array(r.shape).buffer),w=new Uint8Array(new Int32Array(a.shape).buffer);return I4(h,k,r.shape.length,p,w,a.shape.length,l,u,A,f,m,d||0,v),b}var Qne={kernelName:po,backendName:"wasm",setupFunc:Yne,kernelFunc:Jne};function un(e){let t;function n(r){t=r.wasm.cwrap(e,null,["number","number"])}function s(r){let{backend:a,inputs:{x:o}}=r,i=a.dataIdMap.get(o.dataId).id,l=a.makeOutput(o.shape,o.dtype),u=a.dataIdMap.get(l.dataId).id;return I.sizeFromShape(l.shape)===0||t(i,u),l}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:s}}var ese=un(di);function kn(e,t,n){let s;function r(o){s=o.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function a(o){let{backend:i,inputs:l}=o,{a:u,b:c}=l,d=i.dataIdMap.get(u.dataId).id,h=i.dataIdMap.get(c.dataId).id,p=n!=null?n:u.dtype,f=$.assertAndGetBroadcastShape(u.shape,c.shape),m=i.makeOutput(f,p);if(I.sizeFromShape(f)===0)return m;let A=new Uint8Array(new Int32Array(u.shape).buffer),g=new Uint8Array(new Int32Array(c.shape).buffer),y=i.dataIdMap.get(m.dataId).id,x=()=>s(d,A,u.shape.length,h,g,c.shape.length,$
2021-08-14 17:17:51 +02:00
`),k.FRAGMENT_IDENTITY=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","void main(void) {","gl_FragColor = texture2D(texture, vUv);","}"].join(`
`),c=new Mie(m,k.VERTEX_IDENTITY,v);let w=Float32Array.BYTES_PER_ELEMENT,C=4*w;return m.enableVertexAttribArray(c.attribute.pos),m.vertexAttribPointer(c.attribute.pos,2,m.FLOAT,!1,C,0*w),m.enableVertexAttribArray(c.attribute.uv),m.vertexAttribPointer(c.attribute.uv,2,m.FLOAT,!1,C,2*w),p[v]=c,c};d.colorMatrix=function(v){let k=new Float32Array(v);k[4]/=255,k[9]/=255,k[14]/=255,k[19]/=255;let w=k[18]===1&&k[3]===0&&k[8]===0&&k[13]===0&&k[15]===0&&k[16]===0&&k[17]===0&&k[19]===0?d.colorMatrix.SHADER.WITHOUT_ALPHA:d.colorMatrix.SHADER.WITH_ALPHA,C=b(w);m.uniform1fv(C.uniform.m,k),x()},d.colorMatrix.SHADER={},d.colorMatrix.SHADER.WITH_ALPHA=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform float m[20];","void main(void) {","vec4 c = texture2D(texture, vUv);","gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[3] * c.a + m[4];","gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[8] * c.a + m[9];","gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[13] * c.a + m[14];","gl_FragColor.a = m[15] * c.r + m[16] * c.g + m[17] * c.b + m[18] * c.a + m[19];","}"].join(`
`),d.colorMatrix.SHADER.WITHOUT_ALPHA=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform float m[20];","void main(void) {","vec4 c = texture2D(texture, vUv);","gl_FragColor.r = m[0] * c.r + m[1] * c.g + m[2] * c.b + m[4];","gl_FragColor.g = m[5] * c.r + m[6] * c.g + m[7] * c.b + m[9];","gl_FragColor.b = m[10] * c.r + m[11] * c.g + m[12] * c.b + m[14];","gl_FragColor.a = c.a;","}"].join(`
2021-08-18 00:46:50 +02:00
`),d.brightness=function(v){let k=(v||0)+1;d.colorMatrix([k,0,0,0,0,0,k,0,0,0,0,0,k,0,0,0,0,0,1,0])},d.saturation=function(v){let k=(v||0)*2/3+1,w=(k-1)*-.5;d.colorMatrix([k,w,w,0,0,w,k,w,0,0,w,w,k,0,0,0,0,0,1,0])},d.desaturate=function(){d.saturation(-1)},d.contrast=function(v){let k=(v||0)+1,w=-128*(k-1);d.colorMatrix([k,0,0,0,w,0,k,0,0,w,0,0,k,0,w,0,0,0,1,0])},d.negative=function(){d.contrast(-2)},d.hue=function(v){v=(v||0)/180*Math.PI;let k=Math.cos(v),w=Math.sin(v),C=.213,E=.715,O=.072;d.colorMatrix([C+k*(1-C)+w*-C,E+k*-E+w*-E,O+k*-O+w*(1-O),0,0,C+k*-C+w*.143,E+k*(1-E)+w*.14,O+k*-O+w*-.283,0,0,C+k*-C+w*-(1-C),E+k*-E+w*E,O+k*(1-O)+w*O,0,0,0,0,0,1,0])},d.desaturateLuminance=function(){d.colorMatrix([.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,.2764723,.929708,.0938197,0,-37.1,0,0,0,1,0])},d.sepia=function(){d.colorMatrix([.393,.7689999,.18899999,0,0,.349,.6859999,.16799999,0,0,.272,.5339999,.13099999,0,0,0,0,0,1,0])},d.brownie=function(){d.colorMatrix([.5997023498159715,.34553243048391263,-.2708298674538042,0,47.43192855600873,-.037703249837783157,.8609577587992641,.15059552388459913,0,-36.96841498319127,.24113635128153335,-.07441037908422492,.44972182064877153,0,-7.562075277591283,0,0,0,1,0])},d.vintagePinhole=function(){d.colorMatrix([.6279345635605994,.3202183420819367,-.03965408211312453,0,9.651285835294123,.02578397704808868,.6441188644374771,.03259127616149294,0,7.462829176470591,.0466055556782719,-.0851232987247891,.5241648018700465,0,5.159190588235296,0,0,0,1,0])},d.kodachrome=function(){d.colorMatrix([1.1285582396593525,-.3967382283601348,-.03992559172921793,0,63.72958762196502,-.16404339962244616,1.0835251566291304,-.05498805115633132,0,24.732407896706203,-.16786010706155763,-.5603416277695248,1.6014850761964943,0,35.62982807460946,0,0,0,1,0])},d.technicolor=function(){d.colorMatrix([1.9125277891456083,-.8545344976951645,-.09155508482755585,0,11.793603434377337,-.3087833385928097,1.7658908555458428,-.10601743074722245,0,-70.35205161461398,-.231103377548616,-.7501899197440212,1.847597816108189,0,30.950940869491138,0,0,0,1,0])},d.polaroid=function(){d.colorMatrix([1.438,-.062,-.062,0,0,-.122,1.378,-.122,0,0,-.016,-.016,1.483,0,0,0,0,0,1,0])},d.shiftToBGR=function(){d.colorMatrix([0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0])},d.convolution=function(v){let k=new Float32Array(v),w=1/i,C=1/l,E=b(d.convolution.SHADER);m.uniform1fv(E.uniform.m,k),m.uniform2f(E.uniform.px,w,C),x()},d.convolution.SHADER=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform vec2 px;","uniform float m[9];","void main(void) {","vec4 c11 = texture2D(texture, vUv - px);","vec4 c12 = texture2D(texture, vec2(vUv.x, vUv.y - px.y));","vec4 c13 = texture2D(texture, vec2(vUv.x + px.x, vUv.y - px.y));","vec4 c21 = texture2D(texture, vec2(vUv.x - px.x, vUv.y) );","vec4 c22 = texture2D(texture, vUv);","vec4 c23 = texture2D(texture, vec2(vUv.x + px.x, vUv.y) );","vec4 c31 = texture2D(texture, vec2(vUv.x - px.x, vUv.y + px.y) );","vec4 c32 = texture2D(texture, vec2(vUv.x, vUv.y + px.y) );","vec4 c33 = texture2D(texture, vUv + px );","gl_FragColor = ","c11 * m[0] + c12 * m[1] + c22 * m[2] +","c21 * m[3] + c22 * m[4] + c23 * m[5] +","c31 * m[6] + c32 * m[7] + c33 * m[8];","gl_FragColor.a = c22.a;","}"].join(`
2021-08-14 17:17:51 +02:00
`),d.detectEdges=function(){d.convolution.call(this,[0,1,0,1,-4,1,0,1,0])},d.sobelX=function(){d.convolution.call(this,[-1,0,1,-2,0,2,-1,0,1])},d.sobelY=function(){d.convolution.call(this,[-1,-2,-1,0,0,0,1,2,1])},d.sharpen=function(v){let k=v||1;d.convolution.call(this,[0,-1*k,0,-1*k,1+4*k,-1*k,0,-1*k,0])},d.emboss=function(v){let k=v||1;d.convolution.call(this,[-2*k,-1*k,0,-1*k,1,1*k,0,1*k,2*k])},d.blur=function(v){let k=v/7/i,w=v/7/l,C=b(d.blur.SHADER);m.uniform2f(C.uniform.px,0,w),x(f.INTERMEDIATE),m.uniform2f(C.uniform.px,k,0),x()},d.blur.SHADER=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","uniform vec2 px;","void main(void) {","gl_FragColor = vec4(0.0);","gl_FragColor += texture2D(texture, vUv + vec2(-7.0*px.x, -7.0*px.y))*0.0044299121055113265;","gl_FragColor += texture2D(texture, vUv + vec2(-6.0*px.x, -6.0*px.y))*0.00895781211794;","gl_FragColor += texture2D(texture, vUv + vec2(-5.0*px.x, -5.0*px.y))*0.0215963866053;","gl_FragColor += texture2D(texture, vUv + vec2(-4.0*px.x, -4.0*px.y))*0.0443683338718;","gl_FragColor += texture2D(texture, vUv + vec2(-3.0*px.x, -3.0*px.y))*0.0776744219933;","gl_FragColor += texture2D(texture, vUv + vec2(-2.0*px.x, -2.0*px.y))*0.115876621105;","gl_FragColor += texture2D(texture, vUv + vec2(-1.0*px.x, -1.0*px.y))*0.147308056121;","gl_FragColor += texture2D(texture, vUv )*0.159576912161;","gl_FragColor += texture2D(texture, vUv + vec2( 1.0*px.x, 1.0*px.y))*0.147308056121;","gl_FragColor += texture2D(texture, vUv + vec2( 2.0*px.x, 2.0*px.y))*0.115876621105;","gl_FragColor += texture2D(texture, vUv + vec2( 3.0*px.x, 3.0*px.y))*0.0776744219933;","gl_FragColor += texture2D(texture, vUv + vec2( 4.0*px.x, 4.0*px.y))*0.0443683338718;","gl_FragColor += texture2D(texture, vUv + vec2( 5.0*px.x, 5.0*px.y))*0.0215963866053;","gl_FragColor += texture2D(texture, vUv + vec2( 6.0*px.x, 6.0*px.y))*0.00895781211794;","gl_FragColor += texture2D(texture, vUv + vec2( 7.0*px.x, 7.0*px.y))*0.0044299121055113265;","}"].join(`
`),d.pixelate=function(v){let k=v/i,w=v/l,C=b(d.pixelate.SHADER);m.uniform2f(C.uniform.size,k,w),x()},d.pixelate.SHADER=["precision highp float;","varying vec2 vUv;","uniform vec2 size;","uniform sampler2D texture;","vec2 pixelate(vec2 coord, vec2 size) {","return floor( coord / size ) * size;","}","void main(void) {","gl_FragColor = vec4(0.0);","vec2 coord = pixelate(vUv, size);","gl_FragColor += texture2D(texture, coord);","}"].join(`
2021-08-18 00:46:50 +02:00
`)}var Lf=2048,Ee,wt,zt;function Xo(e,t){let n;if(!e)throw new Error("Human: Input is missing");if(!(e instanceof Ue)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof ImageData!="undefined"&&e instanceof ImageData)&&!(typeof ImageBitmap!="undefined"&&e instanceof ImageBitmap)&&!(typeof HTMLImageElement!="undefined"&&e instanceof HTMLImageElement)&&!(typeof HTMLMediaElement!="undefined"&&e instanceof HTMLMediaElement)&&!(typeof HTMLVideoElement!="undefined"&&e instanceof HTMLVideoElement)&&!(typeof HTMLCanvasElement!="undefined"&&e instanceof HTMLCanvasElement)&&!(typeof OffscreenCanvas!="undefined"&&e instanceof OffscreenCanvas))throw new Error("Human: Input type is not recognized");if(e instanceof Ue)if(e.shape&&e.shape.length===4&&e.shape[0]===1&&e.shape[3]===3)n=Ns(e);else throw new Error(`Human: Input tensor shape must be [1, height, width, 3] and instead was ${e.shape}`);else{let r=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,a=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!r||!a)return{tensor:null,canvas:Ee};let o=r,i=a;if(o>Lf&&(o=Lf,i=o*a/r),i>Lf&&(i=Lf,o=i*r/a),t.filter.width>0?o=t.filter.width:t.filter.height>0&&(o=r*(t.filter.height/a)),t.filter.height>0?i=t.filter.height:t.filter.width>0&&(i=a*(t.filter.width/r)),!o||!i)throw new Error("Human: Input cannot determine dimension");(!Ee||(Ee==null?void 0:Ee.width)!==o||(Ee==null?void 0:Ee.height)!==i)&&(Ee=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(o,i):document.createElement("canvas"),(Ee==null?void 0:Ee.width)!==o&&(Ee.width=o),(Ee==null?void 0:Ee.height)!==i&&(Ee.height=i));let l=Ee.getContext("2d");if(e instanceof ImageData?l.putImageData(e,0,0):t.filter.flip&&typeof l.translate!="undefined"?(l.translate(r,0),l.scale(-1,1),l.drawImage(e,0,0,r,a,0,0,Ee==null?void 0:Ee.width,Ee==null?void 0:Ee.height),l.setTransform(1,0,0,1,0,0)):l.drawImage(e,0,0,r,a,0,0,Ee==null?void 0:Ee.width,Ee==null?void 0:Ee.height),t.filter.enabled){if((!zt||!wt||Ee.width!==wt.width||(Ee==null?void 0:Ee.height)!==(wt==null?void 0:wt.height))&&(wt=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(Ee==null?void 0:Ee.width,Ee==null?void 0:Ee.height):document.createElement("canvas"),(wt==null?void 0:wt.width)!==(Ee==null?void 0:Ee.width)&&(wt.width=Ee==null?void 0:Ee.width),(wt==null?void 0:wt.height)!==(Ee==null?void 0:Ee.height)&&(wt.height=Ee==null?void 0:Ee.height),zt=ns.flags.IS_BROWSER?new u8({canvas:wt}):null),!zt)return{tensor:null,canvas:Ee};zt.reset(),zt.addFilter("brightness",t.filter.brightness),t.filter.contrast!==0&&zt.addFilter("contrast",t.filter.contrast),t.filter.sharpness!==0&&zt.addFilter("sharpen",t.filter.sharpness),t.filter.blur!==0&&zt.addFilter("blur",t.filter.blur),t.filter.saturation!==0&&zt.addFilter("saturation",t.filter.saturation),t.filter.hue!==0&&zt.addFilter("hue",t.filter.hue),t.filter.negative&&zt.addFilter("negative"),t.filter.sepia&&zt.addFilter("sepia"),t.filter.vintage&&zt.addFilter("brownie"),t.filter.sepia&&zt.addFilter("sepia"),t.filter.kodachrome&&zt.addFilter("kodachrome"),t.filter.technicolor&&zt.addFilter("technicolor"),t.filter.polaroid&&zt.addFilter("polaroid"),t.filter.pixelate!==0&&zt.addFilter("pixelate",t.filter.pixelate),zt.apply(Ee)}else wt=Ee,zt&&(zt=null);if(!n){let u;if(wt.data){let c=[wt.height,wt.width,3];u=Eh(wt.data,c,"int32")}else if(wt instanceof ImageData)u=rs?rs.fromPixels(wt):null;else if(t.backend==="webgl"||t.backend==="humangl"){let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(o,i):document.createElement("canvas");c.width=o,c.height=i;let d=c.getContext("2d");d==null||d.drawImage(wt,0,0),u=rs?rs.fromPixels(c):null}else{let c=typeof OffscreenCanvas!="undefined"?new OffscreenCanvas(o,i):document.createElement("canvas");c.width=o,c.height=i;let d=c.getContext("2d");d==null||d.drawImage(wt,0,0);let h=d==null?void 0:d.getImageData(0,0,o,i);u=rs?rs.fromPixels(h):null}if(u){let c=ce(u,"float32");n=Ft(c,0),K(u),K(c)}}}let s=t.filter.return?wt:null;return{tensor:n,canvas:s}}var As,_y=!1;async function Bf(e){return As?e.debug&&ue("cached model:",As.mod
2021-03-10 00:32:35 +01:00
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2021-08-17 14:51:17 +02:00
2Q==`;var k8="2.1.3";var uu,id,ld,Ko,Zo,cu,Hf,ud,Gf,jf,qf,Xf,I8=class{constructor(t){ts(this,uu,void 0);ts(this,id,void 0);ts(this,ld,void 0);ts(this,Ko,void 0);ts(this,Zo,void 0);ts(this,cu,void 0);this.analyze=(...t)=>{if(!hn(this,id))return;let n=this.tf.engine().state.numTensors,s=hn(this,uu);Ss(this,uu,n);let r=n-s;r!==0&&ue(...t,r)};ts(this,Hf,t=>{if(!hn(this,ld))return null;if(!t)return"input is not defined";if(this.tf.ENV.flags.IS_NODE&&!(t instanceof Ue))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});ts(this,ud,async(t=!1)=>{var n;if(this.config.backend&&this.config.backend.length>0&&t||this.tf.getBackend()!==this.config.backend){let s=Ke();if(this.state="backend",this.config.backend&&this.config.backend.length>0){if(typeof window=="undefined"&&typeof WorkerGlobalScope!="undefined"&&this.config.debug&&ue("running inside web worker"),this.tf.ENV.flags.IS_BROWSER&&this.config.backend==="tensorflow"&&(ue("override: backend set to tensorflow while running in browser"),this.config.backend="humangl"),this.tf.ENV.flags.IS_NODE&&(this.config.backend==="webgl"||this.config.backend==="humangl")&&(ue("override: backend set to webgl while running in nodejs"),this.config.backend="tensorflow"),this.tf.ENV.flags.IS_BROWSER&&this.config.backend==="webgpu")if(typeof navigator=="undefined"||typeof navigator.gpu=="undefined")ue("override: backend set to webgpu but browser does not support webgpu"),this.config.backend="humangl";else{let a=await navigator.gpu.requestAdapter();this.config.debug&&ue("enumerated webgpu adapter:",a)}this.config.backend==="humangl"&&wk();let r=Object.keys(this.tf.engine().registryFactory);if(this.config.debug&&ue("available backends:",r),r.includes(this.config.backend)||(ue(`error: backend ${this.config.backend} not found in registry`),this.config.backend=this.tf.ENV.flags.IS_NODE?"tensorflow":"humangl",ue(`override: using backend ${this.config.backend} instead`)),this.config.debug&&ue("setting backend:",this.config.backend),this.config.backend==="wasm"){if(this.config.debug&&ue("wasm path:",this.config.wasmPath),typeof((n=this.tf)==null?void 0:n.setWasmPaths)!="undefined")this.tf.setWasmPaths(this.config.wasmPath);else throw new Error("Human: WASM backend is not loaded");let a=await this.tf.env().getAsync("WASM_HAS_SIMD_SUPPORT"),o=await this.tf.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");this.config.debug&&ue(`wasm execution: ${a?"SIMD":"no SIMD"} ${o?"multithreaded":"singlethreaded"}`),this.config.debug&&!a&&ue("warning: wasm simd support is not enabled")}try{await this.tf.setBackend(this.config.backend)}catch(a){ue("error: cannot set backend:",this.config.backend,a)}}if(this.tf.getBackend()==="webgl"||this.tf.getBackend()==="humangl"){this.tf.ENV.set("CHECK_COMPUTATION_FOR_ERRORS",!1),this.tf.ENV.set("WEBGL_CPU_FORWARD",!0),this.tf.ENV.set("WEBGL_PACK_DEPTHWISECONV",!1),this.tf.ENV.set("WEBGL_USE_SHAPES_UNIFORMS",!0),typeof this.config.deallocate!="undefined"&&this.config.deallocate&&(ue("changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:",!0),this.tf.ENV.set("WEBGL_DELETE_TEXTURE_THRESHOLD",0));let r=await this.tf.backend().getGPGPUContext().gl;this.config.debug&&ue(`gl version:${r.getParameter(r.VERSION)} renderer:${r.getParameter(r.RENDERER)}`)}this.tf.enableProdMode(),await this.tf.ready(),this.performance.backend=Math.trunc(Ke()-s)}});this.next=t=>w8(t||this.result);ts(this,Gf,async t=>{if(this.config.cacheSensitivity===0)return!1;let n=32;if(!t.shape[1]||!t.shape[2])return!1;let s=_e.resizeBilinear(t,[Math.trunc(t.shape[1]/n),Math.trunc(t.shape[2]/n)]),r=await s.data(),a=0;for(let l=0;l<r.length/3;l++)a+=r[3*l+2];s.dispose();let o=100*(Math.max(a,hn(this,Zo))/Math.min(a,hn(this,Zo))-1);Ss(this,Zo,a);let i=o<Math.max(this.config.cacheSensitivity,hn(this,cu));return Ss(this,cu,o>10*this.config.cacheSensitivity?0:o),i});ts(this,jf,async()=>{let t=(r,a="application/octet-stream")=>fetch(`data:${a};base64,${r}`).then(o=>o.blob()),n,s;switch(this.config.warmup){case"face":n=await t(Vf);break;case"full":n=await t(Uf);break;default:n=null}if(n
2021-04-28 14:58:21 +02:00
/**
* @license
* Copyright 2017 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* =============================================================================
*/
/**
* @license
* Copyright 2018 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2019 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @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
* 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
* Copyright 2020 Google Inc. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT-style
* license that can be found in the LICENSE file or at
* https://opensource.org/licenses/MIT.
* =============================================================================
*/
/**
* @license
* Copyright 2020 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT 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.
* Licensed under the Apache License, Version 2.0 (the License);
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an AS IS BASIS,
* WITHOUT 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 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.
* =============================================================================
*/
/**
* @license
* Copyright 2021 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
2021-04-28 14:58:21 +02:00
/** @license See the LICENSE file. */