human/dist/human.js

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2021-09-11 03:21:29 +02:00
/*
Human
homepage: <https://github.com/vladmandic/human>
author: <https://github.com/vladmandic>'
*/
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var Human=(()=>{var vg=Object.defineProperty;var US=(e,t,n)=>t in e?vg(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n;var HS=e=>vg(e,"__esModule",{value:!0});var Ba=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var l5=(e,t)=>{HS(e);for(var n in t)vg(e,n,{get:t[n],enumerable:!0})};var Ne=(e,t,n)=>(US(e,typeof t!="symbol"?t+"":t,n),n),u5=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var rc=(e,t,n)=>(u5(e,t,"read from private field"),n?n.call(e):t.get(e)),ac=(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)},oc=(e,t,n,s)=>(u5(e,t,"write to private field"),s?s.call(e,n):t.set(e,n),n);var Sue={};l5(Sue,{Human:()=>eS,Models:()=>Yd,default:()=>eS,defaults:()=>na,env:()=>oe});function rt(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(`modelpath error: ${r} expecting json file`);return r}function re(...e){let t=new Date,n=`${t.getHours().toString().padStart(2,"0")}:${t.getMinutes().toString().padStart(2,"0")}:${t.getSeconds().toString().padStart(2,"0")}.${t.getMilliseconds().toString().padStart(3,"0")}`;e&&console.log(n,"Human:",...e)}var et=()=>typeof performance!="undefined"?performance.now():parseInt((Number(process.hrtime.bigint())/1e3/1e3).toString());function wg(e,t,n="config",s=[]){for(let r of Object.keys(t))if(typeof t[r]=="object")wg(e[r],t[r],r,s);else{let a=e&&typeof e[r]!="undefined";a||s.push({reason:"unknown property",where:`${n}.${r} = ${t[r]}`});let o=e&&typeof e[r]==typeof t[r];a&&!o&&s.push({reason:"property type mismatch",where:`${n}.${r} = ${t[r]}`,expected:typeof e[r]})}return t.debug&&n==="config"&&s.length>0&&re("invalid configuration",s),s}function rn(...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]=rn(a,o):n[r]=o}),n),{})}var na={backend:"",modelBasePath:"",wasmPath:"",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:1,skipFrames:11,minConfidence:.2,iouThreshold:.1,return:!1},mesh:{enabled:!0,modelPath:"facemesh.json"},iris:{enabled:!0,modelPath:"iris.json"},emotion:{enabled:!0,minConfidence:.1,skipFrames:12,modelPath:"emotion.json"},description:{enabled:!0,modelPath:"faceres.json",skipFrames:13,minConfidence:.1}},body:{enabled:!0,modelPath:"movenet-lightning.json",detector:{modelPath:""},maxDetected:-1,minConfidence:.2,skipFrames:1},hand:{enabled:!0,rotation:!0,skipFrames:14,minConfidence:.5,iouThreshold:.2,maxDetected:-1,landmarks:!0,detector:{modelPath:"handtrack.json"},skeleton:{modelPath:"handskeleton.json"}},object:{enabled:!1,modelPath:"mb3-centernet.json",minConfidence:.2,iouThreshold:.4,maxDetected:10,skipFrames:15},segmentation:{enabled:!1,modelPath:"selfie.json",blur:8}};var Ii={};l5(Ii,{Abs:()=>Gi,Acos:()=>ji,Acosh:()=>qi,AdadeltaOptimizer:()=>af,AdagradOptimizer:()=>of,AdamOptimizer:()=>lf,AdamaxOptimizer:()=>uf,Add:()=>aa,AddN:()=>Ha,All:()=>Xi,Any:()=>Ki,ArgMax:()=>Ga,ArgMin:()=>dc,Asin:()=>Zi,Asinh:()=>Yi,Atan:()=>Ji,Atan2:()=>el,Atanh:()=>Qi,AvgPool:()=>ja,AvgPool3D:()=>pc,AvgPool3DGrad:()=>Dp,AvgPoolGrad:()=>Rp,BackendWasm:()=>x8,BatchMatMul:()=>qa,BatchToSpaceND:()=>tl,Bincount:()=>_p,BroadcastArgs:()=>Eg,BroadcastTo:()=>N5,Callback:()=>gw,CallbackList:()=>lv,Cast:()=>Xa,Ceil:()=>Ka,ClipByValue:()=>oa,Complex:()=>$p,ComplexAbs:()=>hc
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Expected: ${a}.`)}}function ET(e,t){e().then(()=>t.fail(),()=>t())}function RT(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return sa(e)||sa(e[0])||sa(t)||sa(t[0])?rA(e,n,(s,r)=>s==r):rA(e,t,(s,r)=>aA(s,r,0))}function DT(e,t,n){if(n==null&&(n=sA()),!aA(e,t,n))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`)}function aA(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function _T(e,t,n){for(let s=0;s<e.length;s++)if(e[s]<t||e[s]>n)throw new Error(`Value out of range:${e[s]} low: ${t}, high: ${n}`)}function $T(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}function Cb(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?Cb(n):e[t]=Nc(n)}return e}var kh="3.9.0";function Tb(){Y().set("PROD",!0)}function FT(){Y().set("DEBUG",!0)}function OT(){Y().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function oA(e){Y().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}l9(oA);function PT(){L.disposeVariables()}function Qn(){return L}function Ih(){return L.memory()}function MT(e){return L.profile(e)}function H(e,t){return L.tidy(e,t)}function Z(e){Lg(e).forEach(n=>n.dispose())}function un(e){return L.keep(e)}function zT(e){return L.time(e)}function Nb(e){return L.setBackend(e)}function Sh(){return L.ready()}function dr(){return L.backendName}function LT(e){L.removeBackend(e)}function iA(e){return L.findBackend(e)}function BT(e){return L.findBackendFactory(e)}function Ql(e,t,n=1){return L.registerBackend(e,t,n)}function Fr(){return L.backend}function WT(e,t){Y().setPlatform(e,t)}function VT(e,t){let n=$(e,"a","add"),s=$(t,"b","add");[n,s]=Rt(n,s);let r={a:n,b:s};return L.runKernel(aa,r)}var le=W({add_:VT});function UT(e,t){let n=$(e,"a","floorDiv"),s=$(t,"b","floorDiv");[n,s]=Rt(n,s);let r={a:n,b:s};return L.runKernel(oo,r)}var Ch=W({floorDiv_:UT});function HT(e,t){let n=$(e,"a","div"),s=$(t,"b","div");if([n,s]=Rt(n,s),n.dtype==="int32"&&s.dtype==="int32")return Ch(n,s);let r={a:n,b:s},a={};return L.runKernel(no,r,a)}var he=W({div_:HT});function GT(e,t){let n=$(e,"a","mul"),s=$(t,"b","mul");[n,s]=Rt(n,s);let r={a:n,b:s};return L.runKernel(bo,r)}var z=W({mul_:GT});function jT(e){let t=$(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return L.runKernel(hc,n)}else{let n={x:t};return L.runKernel(Gi,n)}}var Wt=W({abs_:jT});function qT(e){let n={x:$(e,"x","acos")};return L.runKernel(ji,n)}var lA=W({acos_:qT});function XT(e){let n={x:$(e,"x","acosh")};return L.runKernel(qi,n)}var uA=W({acosh_:XT});function KT(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 ${e.length}`);let t=e.map((r,a)=>$(r,`tensors${a}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!Dr(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let s=t;return L.runKernel(Ha,s)}var Th=W({addN_:KT});function ZT(e,t=null,n=!1){let r={x:$(e,"x","all","bool")},a={axis:t,keepDims:n};return L.runKernel(Xi,r,a)}var Nh=W({all_:ZT});function YT(e,t=null,n=!1){let r={x:$(e,"x","any","bool")},a={axis:t,keepDims:n};return L.runKernel(Ki,r,a)}var Mc=W({any_:YT});function JT(e,t=0){let s={x:$(e,"x","argMax")},r={axis:t};return L.runKernel(Ga,s,r)}var Gs=W({argMax_:JT});function QT(e,t=0){let s={x:$(e,"x","argMin")},r={axis:t};return L.runKernel(dc,s,r)}var cA=W({argMin_:QT});function eN(e){let n={x:$(e,"x","asin")};return L.runKernel(Zi,n)}var dA=W({asin_:eN});function tN(e){let n={x:$(e,"x","asinh")};return L.runKernel(Yi,n)}var pA=W({asinh_:tN});function nN(e){let n={x:$(e,"x","atan")};return L.runKernel(Ji,n)}var hA=W({atan_:nN});function sN(e,t){let n=$(e,"a","atan2"),s=$(t,"b","atan2");[n,s]=Rt(n,s);let r={a:n,b:s};return L.runKernel(el,r)}var fA=W({atan2_:sN});function rN(e){let n={x:$(
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2021-09-11 16:29:31 +02:00
${r} and ${t} for depthToSpace with input shape
2021-09-11 17:17:13 +02:00
${s.shape}`),M(a*t>=0,()=>`Negative dimension size caused by overflow when multiplying
${a} and ${t} for depthToSpace with input shape
2021-09-28 18:01:48 +02:00
${s.shape}`),M(o%(t*t)==0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${o} for depthToSpace with input shape ${s.shape}`);let i={x:s},l={blockSize:t,dataFormat:n};return L.runKernel(rl,i,l)}var kA=W({depthToSpace_:jN});function qN(e,t,n,s,r="NHWC",a=[1,1],o){let i=$(e,"x","depthwiseConv2d"),l=$(t,"filter","depthwiseConv2d"),u=i,c=!1;i.rank===3&&(c=!0,u=V(i,[1,i.shape[0],i.shape[1],i.shape[2]])),M(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),M(l.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`),M(u.shape[3]===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${u.shape[3]}) must match the inChannels dimension in filter ${l.shape[2]}.`),o!=null&&M(an(s),()=>`Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode ${o} but got pad ${s}.`);let d={x:u,filter:l},p={strides:n,pad:s,dataFormat:r,dilations:a,dimRoundingMode:o},h=L.runKernel(to,d,p);return c?V(h,[h.shape[1],h.shape[2],h.shape[3]]):h}var su=W({depthwiseConv2d_:qN});function XN(e){let n={x:$(e,"x","diag")};return L.runKernel(Bp,n)}var KN=W({diag_:XN});function ZN(e,t,n,s,r=[1,1],a="NHWC"){let o=$(e,"x","dilation2d"),i=$(t,"filter","dilation2d");M(o.rank===3||o.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${o.rank}.`),M(i.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${i.rank}.`),M(a==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${a}`);let l=o,u=!1;o.rank===3&&(l=V(o,[1,o.shape[0],o.shape[1],o.shape[2]]),u=!0);let c={x:l,filter:i},d={strides:n,pad:s,dilations:r},p=L.runKernel(mc,c,d);return u?V(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var IA=W({dilation2d_:ZN});function YN(e,t){let n=e.length,s=[];for(let r=0;r<n;r++){let a=n-1-r,o=e[a]||1;(t[t.length-1-r]||1)>1&&o===1&&s.unshift(a)}return s}function Zt(e,t){let n=[];for(let s=0;s<t.length;s++){let r=e[e.length-s-1],a=t.length-s-1,o=t[a];(r==null||r===1&&o>1)&&n.unshift(a)}return n}function bt(e,t){let n=[],s=Math.max(e.length,t.length);for(let r=0;r<s;r++){let a=e[e.length-r-1];a==null&&(a=1);let o=t[t.length-r-1];if(o==null&&(o=1),a===1)n.unshift(o);else if(o===1)n.unshift(a);else if(a!==o){let i=`Operands could not be broadcast together with shapes ${e} and ${t}.`;throw Error(i)}else n.unshift(a)}return n}function JN(e,t){let n=$(e,"a","equal","string_or_numeric"),s=$(t,"b","equal","string_or_numeric");[n,s]=Rt(n,s),bt(n.shape,s.shape);let r={a:n,b:s};return L.runKernel(ol,r)}var es=W({equal_:JN});function QN(e,t,n){let s=$(t,"a","where"),r=$(n,"b","where"),a=$(e,"condition","where","bool"),o=bt(bt(a.shape,s.shape),r.shape),i=tu(a,o),l=tu(s,o),u=tu(r,o),c={condition:i,t:l,e:u};return L.runKernel(_l,c)}var kn=W({where_:QN});function eE(e){let n={x:$(e,"x","zerosLike")};return L.runKernel(Hl,n)}var Ye=W({zerosLike_:eE});function tE(e,t){let n=$(e,"a","div"),s=$(t,"b","div");[n,s]=Rt(n,s);let r=he(n,s),a=Ye(r),o=es(s,a);return kn(o,a,r)}var SA=W({divNoNan_:tE});function nE(e,t){let n=$(e,"t1","dot"),s=$(t,"t2","dot");M((n.rank===1||n.rank===2)&&(s.rank===1||s.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${n.rank} and ${s.rank}.`);let r=n.rank===1?n.size:n.shape[1],a=s.rank===1?s.size:s.shape[0];if(M(r===a,()=>`Error in dot: inner dimensions of inputs must match, but got ${r} and ${a}.`),n.rank===1&&s.rank===1){let o=V(n,[1,-1]),i=V(s,[-1,1]),l=Ue(o,i);return V(l,[])}else if(n.rank===1&&s.rank===2){let o=V(n,[1,-1]),i=V(s,[s.shape[0],s.shape[1]]),l=Ue(o,i);return V(l,[l.size])}else if(n.rank===2&&s.rank===1){let o=V(s,[-1,1]),i=Ue(n,o);return V(i,[i.size])}else{let o=V(s,[s.shape[0],s.shape[1]]);return Ue(n,o)}}var Vb=W({dot_:nE});function sE(e,...t){let n=t.map((r,a)=>$(r,`tensors${a}`,"einsum")),s={equation:e};return L.runKernel(Up,n,s)}var Ub=W({einsum_:sE});function rE(e){let n={x:$(e,"x","elu")};return L.runKernel(so,n)}var ru=W({elu_:rE});function aE(e){let t=$(e,"x","erf");M(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be
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rank ${a.rank}.`),M(an(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let o=a,i=!1;a.rank===3&&(i=!0,o=V(a,[1,a.shape[0],a.shape[1],a.shape[2]]));let l={x:o},u={depthRadius:t,bias:n,alpha:s,beta:r},c=L.runKernel(xc,l,u);return i?V(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var RA=W({localResponseNormalization_:wE});function kE(e){let n={x:$(e,"x","log")};return L.runKernel(po,n)}var ns=W({log_:kE});function IE(e){let n={x:$(e,"x","log1p")};return L.runKernel(yl,n)}var Uc=W({log1p_:IE});function SE(e){return M(ra(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let s=$(t,"x","tf.grad","string_or_numeric"),r=n!=null?$(n,"dy","tf.grad"):null;return L.tidy(()=>{let{value:a,grads:o}=L.gradients(()=>e(s),[s],r);return r!=null&&Cn(a.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Ph(o),o[0]})}}function CE(e){return M(ra(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{M(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let s=Oc(t,"args","tf.grads","string_or_numeric"),r=n!=null?$(n,"dy","tf.grads"):null;return L.tidy(()=>{let{value:a,grads:o}=L.gradients(()=>e(...s),s,r);return r!=null&&Cn(a.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Ph(o),o})}}function TE(e){return M(ra(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{M(t instanceof He,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),M(n==null||n instanceof He,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:s,value:r}=L.gradients(()=>e(t),[t],n);return Ph(s),{grad:s[0],value:r}}}function NE(e){return M(ra(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{M(Array.isArray(t)&&t.every(r=>r instanceof He),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),M(n==null||n instanceof He,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let s=L.gradients(()=>e(...t),t,n);return n!=null&&Cn(s.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Ph(s.grads),s}}function qb(e,t){M(ra(e),()=>"The f passed in variableGrads(f) must be a function"),M(t==null||Array.isArray(t)&&t.every(u=>u instanceof _c),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in L.registeredVariables)t.push(L.registeredVariables[u])}let s=n?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),M(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${r} variables is trainable.`);let a=!0,{value:o,grads:i}=L.gradients(e,t,null,a);M(i.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),M(o.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${o.rank} tensor`);let l={};return t.forEach((u,c)=>{i[c]!=null&&(l[u.name]=i[c])}),s!=null&&s.forEach(u=>l[u.name]=null),{value:o,grads:l}}function hr(e){return L.customGrad(e)}function Ph(e){if(e.filter(n=>n==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that
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${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 ${i.shape}`);let l={indices:r,values:a,denseShape:o,defaultValue:i},u=L.runKernel(sh,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var r$=W({sparseFillEmptyRows_:s$});function a$(e,t,n){let s=$(e,"inputIndices","sparseReshape"),r=$(t,"inputShape","sparseReshape"),a=$(n,"newShape","sparseReshape");if(s.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape
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${r.shape}`);if(a.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape
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${a.shape}`);let o={data:s,indices:r,segmentIds:a};return L.runKernel(ah,o)}var l$=W({sparseSegmentMean_:i$});function u$(e,t,n){let s=$(e,"data","sparseSegmentSum"),r=$(t,"indices","sparseSegmentSum"),a=$(n,"segmentIds","sparseSegmentSum");if(s.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape
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${r.shape}`);if(a.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape
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${a.shape}`);let o={data:s,indices:r,segmentIds:a};return L.runKernel(oh,o)}var c$=W({sparseSegmentSum_:u$});function d$(e,t,n,s,r,a,o,i){let l=$(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: ${l.shape}`);let u=$(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},p=L.runKernel(lh,d,c);return{nGrams:p[0],nGramsSplits:p[1]}}var p$=W({stringNGrams_:d$});function h$(e,t,n=!0){let s=$(e,"input","stringSplit","string"),r=$(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 ${r.shape}`);let a={skipEmpty:n},o={input:s,delimiter:r},i=L.runKernel(uh,o,a);return{indices:i[0],values:i[1],shape:i[2]}}var f$=W({stringSplit_:h$});function m$(e,t){let n=$(e,"input","stringToHashBucketFast","string"),s={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return L.runKernel(ch,r,s)}var g$=W({stringToHashBucketFast_:m$}),A$={fft:Yc,ifft:cu,rfft:Jc,irfft:Kh},y$={hammingWindow:XD,hannWindow:h3,frame:f3,stft:JD},De={flipLeftRight:n_,grayscaleToRGB:r_,resizeNearestNeighbor:b3,resizeBilinear:x3,rotateWithOffset:o_,cropAndResize:e_,nonMaxSuppression:l_,nonMaxSuppressionAsync:g_,nonMaxSuppressionWithScore:y_,nonMaxSuppressionWithScoreAsync:b_,nonMaxSuppressionPadded:w_,nonMaxSuppressionPaddedAsync:I_,threshold:E_,transform:D_},w3={bandPart:$_,gramSchmidt:O_,qr:M_},x$={absoluteDifference:B_,computeWeightedLoss:zr,cosineDistance:V_,hingeLoss:H_,huberLoss:j_,logLoss:X_,meanSquaredError:Z_,sigmoidCrossEntropy:Q_,softmaxCrossEntropy:n$},Qc={sparseFillEmptyRows:r$,sparseReshape:o$,sparseSegmentMean:l$,sparseSegmentSum:c$},rf={stringNGrams:p$,stringSplit:f$,stringToHashBucketFast:g$},Lr=class extends kb{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 Z(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 qb(e,t)}dispose(){this.iterations_!=null&&Z(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:Ce(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 ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Lr,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var af=class extends Lr{constructor(e,t,n=null){super();this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=L.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(n=>n.name):Object.keys(e)).forEach((n,s)=>{let r=L.registeredVariables[n],a=!1;this.accumulatedGrads[s]==null&&(this.accumulatedGrads[s]={originalName:`${n}/accum_grad`,variable:H(()=>Ye(r).variable(a))}),this.accumulatedUpdates[s]==null&&(this.accumulatedUpdates[s]={originalName:`${n}/accum_var`,variable:H(()=>Ye(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=le(z(i,this.rho),z(ft(o),1-this.rho)),c=z(he(An(le(l,this.epsilon)),An(le(i,this.epsilon))),o),d=le(z(l,this.rho),z(ft(c),1-this.rho));i.assign(u),l.assign(d);let p=le(z(c,-this.learningRate),r);r.assign(p)})}),this.incrementIterations()}dispose(){this.accumulatedU
${a}).`);if(n<s)throw new Error(`batchDims (${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 tF(e){try{return e.map(t=>gh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function nF(e){return e.map(t=>Nc(t))}var mr={};Le(mr,{nonMaxSuppressionV3Impl:()=>m3,nonMaxSuppressionV4Impl:()=>g3,nonMaxSuppressionV5Impl:()=>A3,whereImpl:()=>a3});var N3={kernelName:Gi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,du(pe(n,"float32"),-1))}}},sF={kernelName:ji,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let s=ft(pe(n,"float32")),r=An(ye(Ce(1),s));return St(he(e,r))}}}},rF={kernelName:qi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let s=An(ye(ft(pe(n,"float32")),1));return he(e,s)}}}},aF={kernelName:aa,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,s]=t,r=bt(n.shape,s.shape);return{a:()=>{let i=e,l=Zt(n.shape,r);return l.length>0&&(i=we(i,l)),V(i,n.shape)},b:()=>{let i=e,l=Zt(s.shape,r);return l.length>0&&(i=we(i,l)),V(i,s.shape)}}}},oF={kernelName:Ha,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((s,r)=>{n[r]=()=>e.clone()}),n}},iF={kernelName:Ga,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>Ye(n)}}},lF={kernelName:dc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>Ye(n)}}},uF={kernelName:Zi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,An(ye(Ce(1),ft(pe(n,"float32")))))}}},cF={kernelName:Yi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let s=An(le(Ce(1),ft(pe(n,"float32"))));return he(e,s)}}}},dF={kernelName:el,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,s]=t,r=bt(n.shape,s.shape);return{a:()=>{let i=le(ft(n),ft(s)),l=z(e,he(s,i)),u=Zt(n.shape,r);return u.length>0&&(l=we(l,u)),V(l,n.shape)},b:()=>{let i=le(ft(n),ft(s)),l=St(z(e,he(n,i))),u=Zt(s.shape,r);return u.length>0&&(l=we(l,u)),V(l,s.shape)}}}},pF={kernelName:Ji,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,le(ft(pe(n,"float32")),1))}}},hF={kernelName:Qi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,ye(Ce(1),ft(pe(n,"float32"))))}}};function fF(e,t,n,s,r,a){let o=$(e,"dy","avgPool3dGrad"),i=$(t,"input","avgPool3dGrad"),l=o,u=i,c=!1;i.rank===4&&(c=!0,l=V(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),u=V(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(an(r),()=>`Error in avgPool3dGrad: pad must be an integer when using, dimRoundingMode ${a} but got pad ${r}.`);let d={dy:l,input:u},p={filterSize:n,strides:s,pad:r,dimRoundingMode:a},h=L.runKernel(Dp,d,p);return c?V(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var mF=W({avgPool3dGrad_:fF}),gF={kernelName:pc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[s]=t,{filterSize:r,strides:a,pad:o,dimRoundingMode:i}=n;return{x:()=>mF(e,s,r,a,o,i)}}};function AF(e,t,n,s,r){let a=$(e,"dy","avgPoolGrad"),o=$(t,"input","avgPoolGrad");M(o.rank===a.rank,()=>`Rank of input (${o.rank}) does not match rank of dy (${a.rank})`);let i=o,l=a,u=!1;o.rank===3&&(u=!0,i=V(o,[1,o.shape[0],o.shape[1],o.shape[2]]),l=V(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},p=L.runKernel(Rp,c,d);return u?V(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var yF=W({avgPoolGrad_:AF}),xF={kernelName:ja,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.
2. The custom ${s} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return o}else{let a=e;if(a.className==null||a.config==null)throw new G(`${s}: Improper config format: ${JSON.stringify(a)}.
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'className' and 'config' must set.`);let o=a.className,i,l;if(o in n?[i,l]=n[o]:o in Fs?[i,l]=Fs.className:o in t&&([i,l]=t[o]),i==null)throw new G(`Unknown ${s}: ${o}. This may be due to one of the following reasons:
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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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2. The custom ${s} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(Fs))u[h]=Fs[h];for(let h of Object.keys(n))u[h]=n[h];let c=a.config;c.customObjects=u;let d=Object.assign({},Fs);for(let h of Object.keys(n))Fs[h]=n[h];n1(a.config);let p=l(i,a.config,n,r);return Fs=Object.assign({},d),p}else{let u=Object.assign({},Fs);for(let d of Object.keys(n))Fs[d]=n[d];let c=new i(a.config);return Fs=Object.assign({},u),c}}}function rP(e,t){return e<t?-1:e>t?1:0}function hf(e,t){return-1*rP(e,t)}function xa(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function aP(e){if(e==null)throw new G(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function li(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new G(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function s1(e,t,n=0,s=1/0){return gr(n>=0),gr(s>=n),Array.isArray(e)&&e.length>=n&&e.length<=s&&e.every(r=>typeof r===t)}function cn(e,t){Array.isArray(e)?(w.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,s)=>cn(n,`element ${s+1} of ${t}`))):w.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${L3(e)}.`)}function L3(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>L3(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function oP(e,t){let n=w.now(),s;return(...a)=>{let o=w.now();return o-n<t||(n=o,s=e(...a)),s}}function B3(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}function r1(e,t){return H(()=>An(we(z(e,e),t,!0)))}var nd=class extends ue.Serializable{getConfig(){return{}}},a1=class extends nd{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=r1(e,this.axis),n=Vn(t,0,this.maxValue);return z(e,he(n,le(Yt(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}};a1.className="MaxNorm";ue.registerClass(a1);var o1=class extends nd{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return H(()=>he(e,le(Yt(),r1(e,this.axis))))}getConfig(){return{axis:this.axis}}};o1.className="UnitNorm";ue.registerClass(o1);var i1=class extends nd{apply(e){return js(e)}};i1.className="NonNeg";ue.registerClass(i1);var l1=class extends nd{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=r1(e,this.axis),n=le(z(this.rate,Vn(t,this.minValue,this.maxValue)),z(1-this.rate,t));return z(e,he(n,le(Yt(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}};l1.className="MinMaxNorm";ue.registerClass(l1);var W3={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function Jt(e){return t1(e)}function V3(e,t={}){return td(e,ue.SerializationMap.getMap().classNameMap,t,"constraint")}function Qt(e){if(e==null)return null;if(typeof e=="string"){let n={className:e in W3?W3[e]:e,config:{}};return V3(n)}else return e instanceof nd?e:V3(e)}function iP(e){return new a1(e)}function lP(e){return new o1(e)}function uP(){return new i1}function cP(e){return new l1(e)}var U3={};Le(U3,{constant:()=>$P,glorotNormal:()=>BP,glorotUniform:()=>LP,heNormal:()=>WP,heUniform:()=>VP,identity:()=>MP,leCunNormal:()=>UP,leCunUniform:()=>HP,ones:()=>_P,orthogonal:()=>GP,randomNormal:()=>OP,randomUniform:()=>FP,truncatedNormal:()=>PP,varianceScaling:()=>zP,zeros:()=>DP});var dP=["channelsFirst","channelsLast"],pP=["nearest","bilinear"],hP=["valid","same","causal"],fP=["max","avg"],mP=["sum","mul","concat","ave"],hu=new Map;function Lt(e){li(dP,"DataFormat",e)}function gP(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),Ms(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,un(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 ln([],[0].concat(this.elementShape));let n=this.readMany(e);return Ms(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),yn(n,0)}concat(e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but concat requested dtype ${e}`);if(this.size()===0)return ln([],[0].concat(this.elementShape));let t=[];for(let s=0;s<this.size();s++)t.push(s);let n=this.readMany(t);return Ms(this.elementShape,n[0].shape,`TensorArray shape mismatch: tensor array shape (${this.elementShape}) vs first tensor shape (${n[0].shape})`),gt(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,En(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,s=e.map(i=>(n+=i,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to
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tensor.shape[0], but sum of lengths is
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${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,a=[];H(()=>{t=V(t,[1,n,r]);for(let i=0;i<e.length;++i){let l=i===0?0:s[i-1],u=[0,l,0],c=[1,e[i],r];a[i]=V(_e(t,u,c),this.elementShape)}return a});let o=[];for(let i=0;i<e.length;i++)o[i]=i;this.writeMany(o,a)}},bd=class{constructor(e,t,n,s=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(r=>{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);Ms(t,r.shape,"TensorList shape mismatch: "),un(r)}),this.idTensor=Ce(0),this.maxNumElements=s,un(this.idTensor)}get id(){return this.idTensor.id}copy(){return new bd([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Ms(e,this.elementShape,"TensorList shape mismatch: ");let s=xd(this.elementShape,this.tensors,e);return H(()=>{let r=this.tensors.map(a=>V(a,s));return yn(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=xd(this.elementShape,this.tensors,e),s=this.tensors.pop();return Ms(s.shape,e,"TensorList shape mismatch: "),V(s,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Ms(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");un(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);this.tensors.length=e}getItem(e,t,n){if(n!==this.elementDtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${this.elementDtype}`);if(e<0||e>this.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Ms(this.tensors[e].shape,t,"TensorList shape mismatch: ");let s=xd(this.elementShape,this.tensors,t);return V(this.tensors[e],s)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Ms(this.elementShape,t.shape,"TensorList shape mismatch: "),un(t),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Ms(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let s=xd(this.elementShape,this.tensors,n);return e.length===0?ln([],[0].concat(s)):H(()=>{let r=e.map(a=>V(this.tensors[a],s));return yn(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Ms(this.elementShape,t,"TensorList shape mismatch: ");let n=xd(this.elementShape,this.tensors,t);return this.size()===0?ln([],[0].concat(n)):H(()=>{let s=this.tensors.map(r=>V(r,n));return gt(s,0)})}};function fB(e,t,n){let s=e.dtype;if(e.shape.length<1)throw new Error(`Tensor m
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tensor.shape[0], but sum of lengths is
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${s}, and tensor's shape is: ${e.shape}`);let a=e.shape.slice(1),o=Jy(a,n),i=s===0?0:e.size/s,l=H(()=>{let c=[];e=V(e,[1,s,i]);for(let d=0;d<t.length;++d){let p=d===0?0:r[d-1],h=[0,p,0],f=[1,t[d],i];c[d]=V(_e(e,h,f),o)}return e.dispose(),c}),u=new bd([],n,e.dtype,t.length);for(let c=0;c<l.length;c++)u.setItem(c,l[c]);return u}var yB=async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{let s=I("thenBranch",e,t,n),r=I("elseBranch",e,t,n),a=I("cond",e,t,n),o=I("args",e,t,n);return(await a.data())[0]?n.functionMap[s].executeFunctionAsync(o,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(o,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let s=I("body",e,t,n),r=I("cond",e,t,n),a=I("args",e,t,n),o=await n.functionMap[r].executeFunctionAsync(a,n.tensorArrayMap,n.tensorListMap),i=a.map(c=>c.id),l=await o[0].data();o.forEach(c=>{!c.kept&&i.indexOf(c.id)===-1&&c.dispose()});let u=a;for(;l[0];){let c=u;u=await n.functionMap[s].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);c.forEach(h=>{!h.kept&&i.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let p=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await p[0].data(),p.forEach(h=>{!h.kept&&i.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let s=I("pred",e,t,n);return[Hr(s)]}case"Switch":{let s=I("pred",e,t,n),r=I("data",e,t,n);return r.kept||(r=Hr(r)),(await s.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let s=e.inputNames.find(r=>Dn(r,t,n)!==void 0);if(s){let r=Dn(s,t,n);return[Hr(r)]}return}case"Enter":{let s=I("frameName",e,t,n),r=I("tensor",e,t,n);return n.enterFrame(s),[Hr(r)]}case"Exit":{let s=I("tensor",e,t,n);return n.exitFrame(),[Hr(s)]}case"NextIteration":{let s=I("tensor",e,t,n);return n.nextIteration(),[Hr(s)]}case"TensorArrayV3":{let s=I("size",e,t,n),r=I("dtype",e,t,n),a=I("elementShape",e,t,n),o=I("dynamicSize",e,t,n),i=I("clearAfterRead",e,t,n),l=I("identicalElementShapes",e,t,n),u=I("name",e,t,n),c=new hB(u,r,s,a,l,o,i);return n.addTensorArray(c),[c.idTensor,Ce(1)]}case"TensorArrayWriteV3":{let s=I("tensorArrayId",e,t,n),r=I("index",e,t,n),a=I("tensor",e,t,n),o=n.getTensorArray(s.id);return o.write(r,a),[o.idTensor]}case"TensorArrayReadV3":{let s=I("tensorArrayId",e,t,n),r=I("index",e,t,n);return[n.getTensorArray(s.id).read(r)]}case"TensorArrayGatherV3":{let s=I("tensorArrayId",e,t,n),r=I("indices",e,t,n),a=I("dtype",e,t,n);return[n.getTensorArray(s.id).gather(r,a)]}case"TensorArrayScatterV3":{let s=I("tensorArrayId",e,t,n),r=I("indices",e,t,n),a=I("tensor",e,t,n),o=n.getTensorArray(s.id);return o.scatter(r,a),[o.idTensor]}case"TensorArrayConcatV3":{let s=I("tensorArrayId",e,t,n),r=n.getTensorArray(s.id),a=I("dtype",e,t,n);return[r.concat(a)]}case"TensorArraySplitV3":{let s=I("tensorArrayId",e,t,n),r=I("tensor",e,t,n),a=I("lengths",e,t,n),o=n.getTensorArray(s.id);return o.split(a,r),[o.idTensor]}case"TensorArraySizeV3":{let s=I("tensorArrayId",e,t,n),r=n.getTensorArray(s.id);return[Ce(r.size(),"int32")]}case"TensorArrayCloseV3":{let s=I("tensorArrayId",e,t,n),r=n.getTensorArray(s.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let s=I("tensorListId",e,t,n),r=I("index",e,t,n),a=I("tensor",e,t,n),o=n.getTensorList(s.id);return o.setItem(r,a),[o.idTensor]}case"TensorListGetItem":{let s=I("tensorListId",e,t,n),r=I("index",e,t,n),a=I("elementShape",e,t,n),o=I("elementDType",e,t,n);return[n.getTensorList(s.id).getItem(r,a,o)]}case"TensorListScatterV2":case"TensorListScatter":{let s=I("indices",e,t,n),r=I("tensor",e,t,n),a=I("elementShape",e,t,n),o=I("numElements",e,t,n),i=gB(r,s,a,o);return n.addTensorList(i),[i.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let s=I("elementShape",e,t,n),r=I("elementDType",e,t,n),a;e.op==="TensorListReserve"?a="numElements":a="maxNumElements";let o=I(a,e,t,n),i=mB(s,r,o);return n.addTensorList(i),[i.idTensor]}case"TensorListGather":{let s=I("tensorListId",e,t,n),r=I("indices",e,t,n),a=I("elementShape",e,t,n),o=I("elementDType",e,t,n);return[n.getTensor
${e}`);let s;return this.size===1/0||this.size==null?s=this.size:t?s=Math.ceil(this.size/e):s=Math.floor(this.size/e),ls(async()=>(await n.iterator()).columnMajorBatch(e,t,gW),s)}concatenate(e){let t=this,n;return this.size===1/0||e.size===1/0?n=1/0:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,ls(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===1/0?n=1/0:n=null,ls(async()=>(await t.iterator()).filter(s=>H(()=>e(s))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return ls(async()=>(await t.iterator()).map(n=>H(()=>e(n))),this.size)}mapAsync(e){let t=this;return ls(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return ls(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=1/0:n=null,ls(async()=>{let s=n2(async()=>({value:await t.iterator(),done:!1}));return eW(s.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size<e||e===void 0||e<0)?n=0:n=null,ls(async()=>(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let s=this,r=jB.alea(t||w.now().toString());return ls(async()=>{let a=r.int32();return n&&(a+=r.int32()),(await s.iterator()).shuffle(e,a.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,ls(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};vu.MAX_BUFFER_SIZE=1e4;function ls(e,t=null){return new class extends vu{constructor(){super(...arguments);this.size=t}async iterator(){return e()}}}function fW(e){return ls(async()=>n7(e),e.length)}function mW(e){if(!bu(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n<e.length;n++)t=t==null?e[n].size:Math.min(t,e[n].size);else if(e instanceof Object)for(let n in e)t=t==null?e[n].size:Math.min(t,e[n].size);return ls(async()=>{let n=await e7(e,s=>{if(s instanceof vu)return{value:s.iterator(),recurse:!1};if(bu(s))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return tW(n,Ca.SHORTEST)},t)}function gW(e){if(e===null)return null;let t=e[0];return ZB(t)?{value:AW(e),recurse:!1}:{value:null,recurse:!0}}function AW(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof He?yn(e):ln(e)}var o7=class extends vu{constructor(e){super();this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(`
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`).map(s=>(s.endsWith("\r")&&(s=s.slice(0,-1)),s))}},Xf='"',vd=Symbol("out"),i7=Symbol("field"),Kf=Symbol("quote"),r2=Symbol("quoteafterquote"),l7=Symbol("quoteinquote"),u7=class extends vu{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new o7(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(w.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&w.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((s,r)=>(s[r]=s[r]+1||1,s),{}),n=Object.keys(t).filter(s=>t[s]>1);if(w.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let s of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(s)===-1)throw new Error('The key "'+s+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let t=await(await this.base.iterator()).next();if(t.done)throw new Error("No data was found for CSV parsing.");let n=t.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},s={};for(let r=0;r<this.fullColumnNames.length;r++){let a=this.fullColumnNames[r],o=this.columnConfigs?this.columnConfigs[a]:null;if(!(this.configuredColumnsOnly&&!o)){let i=t[r],l=null;if(i==="")if(o&&o.default!==void 0)l=o.default;else{if(o&&(o.required||o.isLabel))throw new Error(`Required column ${a} is empty in this line: ${e}`);l=void 0}else{let u=Number(i);if(isNaN(u))o&&o.dtype==="bool"?l=this.getBoolean(i):l=i;else if(!o||!o.dtype)l=u;else switch(o.dtype){case"float32":l=u;break;case"int32":l=Math.floor(u);break;case"bool":l=this.getBoolean(i);break;default:l=u}}o&&o.isLabel?s[a]=l:n[a]=l}}return Object.keys(s).length===0?n:{xs:n,ys:s}}getBoolean(e){return e==="1"||e.toLowerCase()==="true"?1:0}parseRow(e,t=!0){let n=[],s=0,r=e.length,a=vd;for(let o=0;o<r;o++)switch(a){case vd:switch(e.charAt(o)){case Xf:s=o+1,a=Kf;break;case this.delimiter:if(s=o+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),a=vd;break;default:a=i7,s=o;break}break;case i7:switch(e.charAt(o)){case this.delimiter:n.push(e.substring(s,o)),a=vd,s=o+1;break;default:}break;case Kf:switch(e.charAt(o)){case Xf:a=r2;break;default:}break;case r2:switch(e.charAt(o)){case this.delimiter:n.push(e.substring(s,o-1)),a=vd,s=o+1;break;case Xf:a=Kf;break;default:a=l7;break}break;case l7:switch(e.charAt(o)){case Xf:a=Kf;break;default:}break;default:}if(a===r2?n.push(e.substring(s,r-1)):n.push(e.substring(s)),t&&n.length!==this.fullColumnNames.length)throw new Error(`Invalid row in csv file. Should have ${this.fullColumnNames.length} elements in a row, but got ${n}`);return n}},c7=class extends dn{constructor(e){super();this.microphoneConfig=e,this.isClosed=!1,this.fftSize=e.fftSize||1024;let t=Math.log2(this.fftSize);if(this.fftSize<0||t<4||t>14||!Number.isInteger(t))throw new Error(`Invalid fftSi
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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.
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============================`));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&&w.isString(n[0])){let r=n.map(a=>w.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=>w.decodeString(s))}catch(s){throw new Error("Failed to decode encoded string bytes into utf-8")}return Ge(e.shape,e.dtype,n)}makeOutput(e,t,n){let s=this.write(e,t,n);return Qn().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=w.now();return e(),{kernelMs:w.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){Se([e],"where");let t=this.readSync(e.dataId);return DW(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};a2.nextDataId=0;var y7={};Le(y7,{addImpl:()=>b7,bincountImpl:()=>i2,bincountReduceImpl:()=>v7,ceilImpl:()=>w7,concatImpl:()=>l2,equalImpl:()=>k7,expImpl:()=>S7,expm1Impl:()=>T7,floorImpl:()=>N7,gatherNdImpl:()=>E7,gatherV2Impl:()=>R7,greaterEqualImpl:()=>_7,greaterImpl:()=>D7,lessEqualImpl:()=>F7,lessImpl:()=>$7,linSpaceImpl:()=>O7,logImpl:()=>P7,maxImpl:()=>M7,maximumImpl:()=>z7,minimumImpl:()=>L7,multiplyImpl:()=>u2,negImpl:()=>B7,notEqualImpl:()=>W7,prodImpl:()=>V7,rangeImpl:()=>d2,rsqrtImpl:()=>U7,sigmoidImpl:()=>xV,simpleAbsImpl:()=>x7,sliceImpl:()=>Jf,sparseFillEmptyRowsImpl:()=>G7,sparseReshapeImpl:()=>j7,sparseSegmentReductionImpl:()=>p2,sqrtImpl:()=>wV,squaredDifferenceImpl:()=>q7,stridedSliceImpl:()=>X7,stringNGramsImpl:()=>K7,stringSplitImpl:()=>Z7,stringToHashBucketFastImpl:()=>Y7,subImpl:()=>J7,tileImpl:()=>Q7,topKImpl:()=>t6,transposeImpl:()=>c2,uniqueImpl:()=>n6});function x7(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var _W=e=>{let{x:t}=e.inputs,n=e.backend;Se(t,"abs");let s=new Float32Array(w.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return s=x7(r),n.makeOutput(s,t.shape,"float32")},$W={kernelName:Gi,backendName:"cpu",kernelFunc:_W};function Gt(e){return(t,n,s,r,a)=>{let o=_.assertAndGetBroadcastShape(t,n),i=o.length,l=w.computeStrides(o),u=w.sizeFromShape(o),c=w.getTypedArrayFromDType(a,u),d=t.length,p=n.length,h=w.computeStrides(t),f=w.computeStrides(n),m=_.getBroadcastDims(t,o),g=_.getBroadcastDims(n,o);if(m.length+g.length===0)for(let A=0;A<c.length;++A)c[A]=e(s[A%s.length],r[A%r.length]);else for(let A=0;A<c.length;++A){let y=w.indexToLoc(A,i,l),x=y.slice(-d);m.forEach(S=>x[S]=0);let b=w.locToIndex(x,d,h),v=y.slice(-p);g.forEach(S=>v[S]=0);let k=w.locToIndex(v,p,f);c[A]=e(s[b],r[k])}return[c,o]}}function us(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 FW={kernelName:$p,backendName:"cpu",kernelFunc:us};function Zf(e,t,n="float32"){if(n==="complex64"){let r=Zf(e,t,"float32"),a=Zf(e,t,"float32
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indices.shape[0] = ${i}`);let g=w.getArrayFromDType(n,0),A=w.getArrayFromDType(r,0);return[g,[0,d],A,u,c]}let p=!0,h=0,f=new Array(l).fill(0);for(let g=0;g<i;++g){let A=e[g*d];if(A<0)throw new Error(`indices(${g}, 0) is invalid: ${A} < 0`);if(A>=l)throw new Error(`indices(${g}, 0) is invalid: ${A} >= ${l}`);++f[A],p=p&&A>=h,h=A}let m=!0;for(let g=0;g<l;++g){let A=f[g]===0;u[g]=A,m=m&&!A,f[g]=Math.max(f[g],1),g>0&&(f[g]+=f[g-1])}if(m&&p){let g=e,A=s;for(let y=0;y<i;++y)c[y]=y;return[g,[i,d],A,u,c]}else{let g=f[l-1],A=w.getArrayFromDType(n,g*d),y=w.getArrayFromDType(r,g),x=new Array(l).fill(0);for(let b=0;b<i;++b){let v=e[b*d],k=x[v],S=(v===0?0:f[v-1])+k;x[v]++;for(let C=0;C<d;++C)A[S*d+C]=e[b*d+C];y[S]=s[b],c[b]=S}for(let b=0;b<l;++b)if(x[b]===0){let k=b===0?0:f[b-1];A[k*d+0]=b;for(let S=1;S<d;++S)A[k*d+S]=0;y[k]=o}return[A,[g,d],y,u,c]}}function j7(e,t,n,s,r){let a=w.sizeFromShape(s),o=t[0],i=r.length,l=[],u=1,c=-1;for(let g=0;g<i;++g){let A=r[g];if(A===-1){if(c!==-1)throw new Error(`only one output dimension may be -1, not both ${c} and ${g}`);c=g,l.push(1)}else{if(A<0)throw new Error(`size ${g} must be non-negative, not ${A}`);u*=A,l.push(A)}}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 g=Math.trunc(a/u);if(u*g!==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]=g}let d=w.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 p=s.length,h=[];if(p>0){h[p-1]=1;for(let g=p-2;g>=0;--g)h[g]=h[g+1]*s[g+1]}let f=[];if(i>0){f[i-1]=1;for(let g=i-2;g>=0;--g)f[g]=f[g+1]*l[g+1]}let m=w.getArrayFromDType(n,o*i);for(let g=0;g<o;++g){let A=0;for(let y=0;y<p;++y)A+=e[g*p+y]*h[y];for(let y=0;y<i;++y)m[g*i+y]=Math.trunc(A/f[y]),A%=f[y]}return[m,[o,i],l]}function p2(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 p=t.slice();p[0]=d;let h=p.reduce((x,b)=>x*b,1),f=w.getArrayFromDType(n,h);if(i===0)return d>0&&f.fill(o),[f,p];if(d<=0)throw new Error("segment ids must be >= 0");let m=0,g=1,A=0,y=r[m];for(;;){let x=0;if(g<i){if(x=r[g],y===x){++g;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, ${d}), possibly because segmentIds input is not sorted.`);y>A&&f.fill(o,A*u,y*u);for(let b=m;b<g;++b){let v=s[b];if(v<0||v>=l[0])throw new Error(`Bad: indices[${b}] == ${s[b]} out of range [0, ${l[0]})`);for(let k=0;k<u;k++)f[y*u+k]+=e[v*u+k]}if(a)for(let b=0;b<u;b++)f[y*u+b]/=g-m;if(m=g,++g,A=y+1,y=x,g>i)break}return A<d&&f.fill(o,A*u,d*u),[f,p]}var wV=Na(e=>Math.sqrt(e)),kV=pt($o,e=>Math.sqrt(e)),IV={kernelName:$o,backendName:"cpu",kernelFunc:kV},q7=Gt((e,t)=>{let n=e-t;return n*n}),SV=pn(Po,q7),CV={kernelName:Po,backendName:"cpu",kernelFunc:SV};function X7(e,t,n,s){let r=Ge(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 TV=class{constructor(e,t,n,s,r,a){this.separator=w.encodeString(e),this.nGramWidths=t,this.leftPad=w.encodeString(n),this.rightPad=w.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),p=0;p+=l*this.leftPad.length;for(let A=0;A<c;++A)p+=e[d+A].length;p+=u*this.rightPad.length,p+=(l+u+c-1)*this.separator.length,n[s+o]=new Uint8Array(p);let f=n[s+o],m=0,g=A=>A.forEach(y=>f[m++]=y);for(let A=0;A<l;++A)g(this.leftPad),g(this.separator);for(let A=0;A<c-1;++A)g(e[d+A]),g(this.separator);if(c>0){g(e[d+c-1]);for(let A=0;A<u;++A)g(this.separator),g(this.rightPad)}else{for(let A=0;A<u-1;++A)g(this.rightPad),g(this.separator);g(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 ${i}`)}let r=s-1,a=w.getArrayFromDType("int32",s);if(n===0||s===0){let i=new Array(n);for(let l=0;l<=r;++l)a[l]=0;return[i,a]}a[0]=0;for(let i=1;i<=r;++i){let l=t[i]-t[i-1],u=0;this.nGramWidths.forEach(c=>{u+=this.getNumNGrams(l,c)}),this.preserveShort&&l>0&&u===0&&(u=1),a[i]=a[i-1]+u}let o=new Array(a[r]);for(let i=0;i<r;++i){let l=t[i],u=a[i];if(this.nGramWidths.forEach(c=>{let d=t[i+1]-t[i],p=this.getNumNGrams(d,c);this.createNGrams(e,l,o,u,p,c),u+=p}),this.preserveShort&&u===a[i]){let c=t[i+1]-t[i];if(c===0)continue;let d=c+2*this.padWidth,p=1;this.createNGrams(e,l,o,u,p,d)}}return[o,a]}};function K7(e,t,n,s,r,a,o,i){return new TV(n,s,r,a,o,i).compute(e,t)}function NV(e,t,n,s){if(!e.length)return;if(t.length===0){for(let a=0;a<e.length;++a)s.push(e.subarray(a,a+1));return}if(t.length===1){let a=t[0],o=e.indexOf(a);for(;o!==-1;){let i=e.subarray(0,o);(!n|
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${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:
${r.shape}`);if(o.shape.length!==0)throw new Error(`Default value must be a scalar, saw:
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${o.shape}`);let i=n.data.get(s.dataId).values,l=n.data.get(r.dataId).values,u=n.data.get(a.dataId).values,c=n.data.get(o.dataId).values[0],[d,p,h,f,m]=G7(i,s.shape,s.dtype,l,r.dtype,u,c);return[n.makeTensorInfo(p,s.dtype,d),n.makeTensorInfo([p[0]],r.dtype,h),n.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),n.makeTensorInfo([m.length],s.dtype,new Int32Array(m))]}var Uj={kernelName:sh,backendName:"cpu",kernelFunc:Vj};function Hj(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
2021-09-11 17:17:13 +02:00
${s.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape
2021-09-28 18:01:48 +02:00
${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.data.get(r.dataId).values),i=n.data.get(s.dataId).values,l=Array.from(n.data.get(a.dataId).values),[u,c,d]=j7(i,s.shape,s.dtype,o,l);return[n.makeTensorInfo(c,s.dtype,u),n.makeTensorInfo([d.length],a.dtype,new Int32Array(d))]}var Gj={kernelName:rh,backendName:"cpu",kernelFunc:Hj};function jj(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
2021-09-11 17:17:13 +02:00
${r.shape}`);if(a.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
2021-09-28 18:01:48 +02:00
${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]=p2(o,s.shape,s.dtype,i,l,!0);return n.makeTensorInfo(c,s.dtype,u)}var qj={kernelName:ah,backendName:"cpu",kernelFunc:jj};function Xj(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
2021-09-11 17:17:13 +02:00
${r.shape}`);if(a.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
2021-09-28 19:48:29 +02:00
${a.shape}`);let o=n.data.get(s.dataId).values,i=n.data.get(r.dataId).values,l=n.data.get(a.dataId).values,[u,c]=p2(o,s.shape,s.dtype,i,l);return n.makeTensorInfo(c,s.dtype,u)}var Kj={kernelName:oh,backendName:"cpu",kernelFunc:Xj};function Zj(e){let{inputs:t,backend:n,attrs:s}=e,{sparseIndices:r,sparseValues:a,defaultValue:o}=t,{outputShape:i}=s,{sliceRank:l,numUpdates:u,sliceSize:c,strides:d,outputSize:p}=_.calculateShapes(a,r,i),h=!1,f=n.bufferSync(r),m=n.bufferSync(a),g=n.data.get(o.dataId).values[0],A=x6(f,m,i,p,c,u,l,d,g,h);return n.makeTensorInfo(i,A.dtype,A.values)}var Yj={kernelName:ih,backendName:"cpu",kernelFunc:Zj};function Jj(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{numOrSizeSplits:a,axis:o}=s,i=w.parseAxisParam(o,r.shape)[0],l=_.prepareSplitSize(r,a,i),u=new Array(r.shape.length).fill(0),c=r.shape.slice();return l.map(d=>{let p=[...c];p[i]=d;let h=gi({inputs:{x:r},backend:n,attrs:{begin:u,size:p}});return u[i]+=d,h})}var Qj={kernelName:Ll,backendName:"cpu",kernelFunc:Jj},eq={kernelName:kc,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,s=t;Se(n,"square");let r=s.data.get(n.dataId).values,a=new Float32Array(r.length);for(let i=0;i<r.length;++i){let l=r[i];a[i]=l*l}return{dataId:s.write(a,n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}},tq=pt(la,(e,t)=>{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),nq={kernelName:la,backendName:"cpu",kernelFunc:tq};function sq(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{begin:a,end:o,strides:i,beginMask:l,endMask:u,ellipsisMask:c,newAxisMask:d,shrinkAxisMask:p}=s;Se(r,"stridedSlice");let{nonStrided:h,$begin:f,$strides:m,size:g,newShape:A,outShape:y}=Nn.sliceInfo(r.shape,a,o,i,l,u,c,d,p),x=wt({inputs:{x:r},backend:n,attrs:{shape:A}}),b;if(h){let k=gi({inputs:{x},backend:n,attrs:{begin:f,size:g}});b=wt({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),S=X7(y,k,m,f);b=n.makeTensorInfo(S.shape,S.dtype,S.values)}let v=wt({inputs:{x:b},backend:n,attrs:{shape:y}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(b),v}var rq={kernelName:Bl,backendName:"cpu",kernelFunc:sq};function aq(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,p=n.data.get(c.dataId).values,h=n.data.get(d.dataId).values,[f,m]=K7(p,h,r,a,o,i,l,u);return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(d.shape,"int32",m)]}var oq={kernelName:lh,backendName:"cpu",kernelFunc:aq};function iq(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]=Z7(i,l,r),p=c.length;return[n.makeTensorInfo([p,2],"int32",u),n.makeTensorInfo([p],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var lq={kernelName:uh,backendName:"cpu",kernelFunc:iq};function uq(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=Y7(o,r);return n.makeTensorInfo(a.shape,"int32",i)}var cq={kernelName:ch,backendName:"cpu",kernelFunc:uq},dq=pt(zo,e=>Math.tan(e)),pq={kernelName:zo,backendName:"cpu",kernelFunc:dq},hq=pt(Lo,e=>Math.tanh(e)),fq={kernelName:Lo,backendName:"cpu",kernelFunc:hq};function mq(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{reps:a}=s;Se(r,"tile");let o=Q7(n.bufferSync(r),a);return n.makeTensorInfo(o.shape,o.dtype,o.values)}var gq={kernelName:ia,backendName:"cpu",kernelFunc:mq};function Aq(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{k:a,sorted:o}=s;Se(r,"topk");let i=n.data.get(r.dataId).values,[l,u]=t6(i,r.shape,r.dtype,a,o);return
2021-09-12 18:42:17 +02:00
`),a=r.length.toString().length+2,o=r.map((d,p)=>w.rightPad((p+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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`)),console.log(t.split(`
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`)[0]),console.log(`%c ${w.rightPad(u[0],i)}`,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(c.join(`
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`))}function T6(e){return Gr(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function N6(e,t){if(ke(e,()=>e.linkProgram(t)),e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function s0(e,t){if(ke(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function E6(e,t){let n=Gr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ke(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),ke(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function R6(e,t){let n=Gr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ke(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),ke(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function Uq(){return Y().getNumber("WEBGL_VERSION")===2?1:4}function D6(e){return Gr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function _6(e,t){let n=Y().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let s=`[${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 $6(e){return Gr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function w2(e,t,n,s,r,a,o){let i=e.getAttribLocation(t,n);return i===-1?!1:(ke(e,()=>e.bindBuffer(e.ARRAY_BUFFER,s)),ke(e,()=>e.vertexAttribPointer(i,r,e.FLOAT,!1,a,o)),ke(e,()=>e.enableVertexAttribArray(i)),!0)}function F6(e,t,n){L6(e,n),ke(e,()=>e.activeTexture(e.TEXTURE0+n)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function Hq(e,t){L6(e,t),ke(e,()=>e.activeTexture(e.TEXTURE0+t)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function O6(e,t,n){return Gr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function P6(e,t,n){return e.getUniformLocation(t,n)}function M6(e,t,n,s){ke(e,()=>F6(e,t,s)),ke(e,()=>e.uniform1i(n,s))}function Gq(e){ke(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),ke(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),ke(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function r0(e,t,n){ke(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),ke(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function k2(e,t){ke(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),ke(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Ed(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+z6(e,t))}function z6(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 ${t}`}}function Gr(e,t,n){let s=ke(e,()=>t());if(s==null)throw new Error(n);return s}function L6(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,s=t+e.TEXTURE0;if(s<e.TEXTURE0||s>n){let r=`[gl.TEXTURE0, gl.TEXTURE${n}]`;throw new Error(`textureUnit must be in ${r}.`)}}function yi(e,t=2){return w.sizeFromShape(e.slice(0,e.length-t))}function xi(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 a0(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[yi(e),...xi(e)]),t}function B6(e,t=!1){let n=Y().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(n=n*2,e=e.map((r,a)=>a>=e.length-2?w.nearestLargerEven(e[a]):e[a]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=w.squeezeShape(e).newShape);let s=w.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[1]
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bool isnan_custom(float val) {
return (val > 0.0 || val < 0.0) ? false : val != 0.0;
}
bvec4 isnan_custom(vec4 val) {
return bvec4(isnan_custom(val.x),
isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));
}
#define isnan(value) isnan_custom(value)
`,l="",u=`
#define round(value) newRound(value)
int newRound(float value) {
return int(floor(value + 0.5));
}
ivec4 newRound(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
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`):(e="",t="attribute",n="varying",s="varying",r="texture2D",a="gl_FragColor",o="",i=`
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#define isnan(value) isnan_custom(value)
bool isnan_custom(float val) {
return (val > 0. || val < 1. || val == 0.) ? false : true;
}
bvec4 isnan_custom(vec4 val) {
return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));
}
`,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));
}
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ivec4 round(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
}
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`),{version:e,attribute:t,varyingVs:n,varyingFs:s,texture2D:r,output:a,defineOutput:o,defineSpecialNaN:i,defineSpecialInf:l,defineRound:u}}function bi(e,t,n="index"){let s=w.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 u0(e,t,n="index"){let s=w.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}; ${i};`}).join("")}function Kq(e,t){let n=e.length,s=e.map(a=>`${t}[${a}]`),r=new Array(n-1);r[n-2]=s[n-1];for(let a=n-3;a>=0;--a)r[a]=`(${r[a+1]} * ${s[a+1]})`;return r}function Zq(e,t,n="index"){let s=e.map((a,o)=>o),r=Kq(s,t);return r.map((a,o)=>{let i=`int ${e[o]} = ${n} / ${r[o]}`,l=o===r.length-1?`int ${e[o+1]} = ${n} - ${e[o]} * ${r[o]}`:`index -= ${e[o]} * ${r[o]}`;return`${i}; ${l};`}).join("")}function C2(e){let t=w.computeStrides(e).map(n=>n.toString());return`
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int getFlatIndex(ivec3 coords) {
return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;
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}
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`}function T2(){return`
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int getFlatIndex(ivec3 coords) {
return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;
2021-08-31 19:00:06 +02:00
}
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`}var q6=`
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const float FLOAT_MAX = 1.70141184e38;
const float FLOAT_MIN = 1.17549435e-38;
lowp vec4 encode_float(highp float v) {
if (isnan(v)) {
return vec4(255, 255, 255, 255);
}
highp float av = abs(v);
if(av < FLOAT_MIN) {
return vec4(0.0, 0.0, 0.0, 0.0);
} else if(v > FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
} else if(v < -FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;
}
highp vec4 c = vec4(0,0,0,0);
highp float e = floor(log2(av));
highp float m = exp2(fract(log2(av))) - 1.0;
c[2] = floor(128.0 * m);
m -= c[2] / 128.0;
c[1] = floor(32768.0 * m);
m -= c[1] / 32768.0;
c[0] = floor(8388608.0 * m);
highp float ebias = e + 127.0;
c[3] = floor(ebias / 2.0);
ebias -= c[3] * 2.0;
c[2] += floor(ebias) * 128.0;
c[3] += 128.0 * step(0.0, -v);
return c / 255.0;
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}
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`,{getBroadcastDims:X6}=_;function Yq(e,t,n){let s=[];if(e.forEach(h=>{let f=w.sizeFromShape(h.shapeInfo.logicalShape);if(h.shapeInfo.isUniform?s.push(`uniform float ${h.name}${f>1?`[${f}]`:""};`):(s.push(`uniform sampler2D ${h.name};`),s.push(`uniform int offset${h.name};`)),n.enableShapeUniforms){let{uniformShape:m}=N2(n.packedInputs,h.shapeInfo.logicalShape,h.shapeInfo.texShape);switch(m.length){case 1:s.push(`uniform int ${h.name}Shape;`);break;case 2:s.push(`uniform ivec2 ${h.name}Shape;`);break;case 3:s.push(`uniform ivec3 ${h.name}Shape;`);break;case 4:s.push(`uniform ivec4 ${h.name}Shape;`);break;default:break}s.push(`uniform ivec2 ${h.name}TexShape;`)}}),n.enableShapeUniforms){switch(t.logicalShape.length){case 1:s.push("uniform int outShape;");break;case 2:s.push("uniform ivec2 outShape;"),s.push("uniform int outShapeStrides;");break;case 3:s.push("uniform ivec3 outShape;"),s.push("uniform ivec2 outShapeStrides;");break;case 4:s.push("uniform ivec4 outShape;"),s.push("uniform ivec3 outShapeStrides;");break;default:break}s.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach(h=>{s.push(`uniform ${h.type} ${h.name}${h.arrayIndex?`[${h.arrayIndex}]`:""};`)});let r=s.join(`
`),a=e.map(h=>Jq(h,t,n.packedInputs,n.enableShapeUniforms)).join(`
`),o=t.texShape,i=_n(),l=tX(i),u,c,d=rX(i);return t.isPacked?(u=Qq(t.logicalShape,o,n.enableShapeUniforms),c=sX(i)):(u=eX(t.logicalShape,o,n.enableShapeUniforms),c=nX(i)),n.packedInputs&&(d+=lX),[d,l,c,r,u,a,n.userCode].join(`
`)}function Tu(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return bX(e,t);case 1:return wX(e,t);case 2:return IX(e,t);case 3:return CX(e,t);case 4:return NX(e,t);case 5:return EX(e);case 6:return RX(e);default:throw new Error(`${n.length}-D input sampling is not yet supported`)}}function K6(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return xX(e);case 1:return vX(e,t);case 2:return kX(e,t);case 3:return SX(e,t);default:return TX(e,t)}}function Jq(e,t,n=!1,s){let r="";n?r+=K6(e,s):r+=Tu(e,s);let a=e.shapeInfo.logicalShape,o=t.logicalShape;return a.length<=o.length&&(n?r+=DX(e,t):r+=_X(e,t)),r}function Qq(e,t,n){switch(e.length){case 0:return Z6();case 1:return uX(e,t,n);case 2:return AX(e,t,n);case 3:return dX(e,t,n);default:return hX(e,t,n)}}function eX(e,t,n){switch(e.length){case 0:return Z6();case 1:return cX(e,t,n);case 2:return yX(e,t,n);case 3:return pX(e,t,n);case 4:return fX(e,t,n);case 5:return mX(e,t);case 6:return gX(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function tX(e){return`
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float sampleTexture(sampler2D textureSampler, vec2 uv) {
return ${e.texture2D}(textureSampler, uv).r;
}
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`}function nX(e){return`
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void setOutput(float val) {
${e.output} = vec4(val, 0, 0, 0);
}
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`}function sX(e){return`
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void setOutput(vec4 val) {
${e.output} = val;
}
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`}function rX(e){return`${e.version}
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precision highp float;
precision highp int;
precision highp sampler2D;
${e.varyingFs} vec2 resultUV;
${e.defineOutput}
const vec2 halfCR = vec2(0.5, 0.5);
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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}
${e.defineRound}
int imod(int x, int y) {
return x - y * (x / y);
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}
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int idiv(int a, int b, float sign) {
int res = a / b;
int mod = imod(a, b);
if (sign < 0. && mod != 0) {
res -= 1;
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}
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return res;
}
//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
#define HASHSCALE1 443.8975
float random(float seed){
vec2 p = resultUV * seed;
vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);
p3 += dot(p3, p3.yzx + 19.19);
return fract((p3.x + p3.y) * p3.z);
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}
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${aX}
${oX}
${iX}
`}var aX=`
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vec2 uvFromFlat(int texNumR, int texNumC, int index) {
int texR = index / texNumC;
int texC = index - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {
int texelIndex = index / 2;
int texR = texelIndex / texNumC;
int texC = texelIndex - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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`,oX=`
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vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,
int texNumC, int row, int col) {
int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);
int texR = texelIndex / texNumC;
int texC = texelIndex - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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`,iX=`
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vec2 packedUVfrom3D(int texNumR, int texNumC,
int texelsInBatch, int texelsInLogicalRow, int b,
int row, int col) {
int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);
int texR = index / texNumC;
int texC = index - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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`,lX=`
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float getChannel(vec4 frag, vec2 innerDims) {
vec2 modCoord = mod(innerDims, 2.);
return modCoord.x == 0. ?
(modCoord.y == 0. ? frag.r : frag.g) :
(modCoord.y == 0. ? frag.b : frag.a);
}
float getChannel(vec4 frag, int dim) {
float modCoord = mod(float(dim), 2.);
return modCoord == 0. ? frag.r : frag.g;
}
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`;function Z6(){return`
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int getOutputCoords() {
return 0;
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}
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`}function uX(e,t,n){let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return s[0]===1?n?`
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int getOutputCoords() {
return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));
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}
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`:`
int getOutputCoords() {
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return 2 * int(resultUV.x * ${s[1]}.0);
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}
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`:s[1]===1?n?`
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int getOutputCoords() {
return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));
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}
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`:`
int getOutputCoords() {
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return 2 * int(resultUV.y * ${s[0]}.0);
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}
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`:n?`
int getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);
}
`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${s[0]}, ${s[1]}));
return 2 * (resTexRC.x * ${s[1]} + resTexRC.y);
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}
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`}function cX(e,t,n){return t[0]===1?n?`
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int getOutputCoords() {
return int(resultUV.x * float(outTexShape[1]));
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}
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`:`
int getOutputCoords() {
return int(resultUV.x * ${t[1]}.0);
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}
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`:t[1]===1?n?`
int getOutputCoords() {
return int(resultUV.y * float(outTexShape[0]));
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}
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`:`
int getOutputCoords() {
return int(resultUV.y * ${t[0]}.0);
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}
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`:n?`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
return resTexRC.x * outTexShape[1] + resTexRC.y;
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}
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`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
return resTexRC.x * ${t[1]} + resTexRC.y;
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}
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`}function dX(e,t,n){if(n)return`
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ivec3 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));
int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int b = index / texelsInBatch;
index -= b * texelsInBatch;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
return ivec3(b, r, c);
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}
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`;let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return`
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${s[0]}, ${s[1]}));
int index = resTexRC.x * ${s[1]} + resTexRC.y;
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int b = index / ${a};
index -= b * ${a};
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int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
return ivec3(b, r, c);
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}
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`}function pX(e,t,n){if(n)return`
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
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${u0(["r","c","d"],e)}
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return ivec3(r, c, d);
}
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`;let s=bi(["r","c","d"],e);return`
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
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${s}
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return ivec3(r, c, d);
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}
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`}function hX(e,t,n){if(n)return`
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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`
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ivec${e.length} getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${s[0]}, ${s[1]}));
int index = resTexRC.x * ${s[1]} + resTexRC.y;
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2021-09-11 17:17:13 +02:00
${i}
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2021-09-11 17:17:13 +02:00
int b = index / ${a};
index -= b * ${a};
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int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
return ivec${e.length}(${l});
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}
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`}function fX(e,t,n){if(n)return`
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ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
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${u0(["r","c","d","d2"],e)}
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return ivec4(r, c, d, d2);
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}
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`;let s=bi(["r","c","d","d2"],e);return`
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ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
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${s}
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return ivec4(r, c, d, d2);
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}
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`}function mX(e,t){let n=bi(["r","c","d","d2","d3"],e);return`
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ivec5 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]},
${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
ivec5 outShape = ivec5(r, c, d, d2, d3);
return outShape;
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}
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`}function gX(e,t){let n=bi(["r","c","d","d2","d3","d4"],e);return`
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ivec6 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
ivec6 result = ivec6(r, c, d, d2, d3, d4);
return result;
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}
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`}function AX(e,t,n){let s=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(w.arraysEqual(e,t))return n?`
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ivec2 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1]));
}
`:`
ivec2 getOutputCoords() {
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return 2 * ivec2(resultUV.yx * vec2(${s[0]}, ${s[1]}));
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}
`;let r=Math.ceil(e[1]/2);return n?`
ivec2 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
int texelsInLogicalRow = int(ceil(float(outShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
return ivec2(r, c);
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}
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`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
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vec2(${s[0]}, ${s[1]}));
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int index = resTexRC.x * ${s[1]} + resTexRC.y;
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int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
return ivec2(r, c);
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}
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`}function yX(e,t,n){return w.arraysEqual(e,t)?n?`
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ivec2 getOutputCoords() {
return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));
}
`:`
ivec2 getOutputCoords() {
return ivec2(resultUV.yx * vec2(${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 * ${t[1]} + resTexRC.y;
return ivec2(index, 0);
}
`:e[0]===1?n?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
return ivec2(0, index);
}
`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${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 * ${e[1]};
return ivec2(r, c);
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}
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`}function vi(e){return`offset${e}`}function xX(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),s=_n();return`
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vec4 ${n}() {
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return ${s.texture2D}(${t}, halfCR);
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}
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`}function bX(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`
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float ${s}() {
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return sampleTexture(${n}, halfCR);
}
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`;let o=vi(n);if(t)return`
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float ${s}() {
vec2 uv = uvFromFlat(${n}TexShape[0], ${n}TexShape[1], ${o});
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return sampleTexture(${n}, uv);
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}
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`;let[i,l]=e.shapeInfo.texShape;return`
float ${s}() {
vec2 uv = uvFromFlat(${i}, ${l}, ${o});
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return sampleTexture(${n}, uv);
}
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`}function vX(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,a=_n();if(t)return`
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vec4 ${s}(int index) {
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ivec2 packedTexShape = ivec2(ceil(float(${n}TexShape[0]) / 2.0), ceil(float(${n}TexShape[1]) / 2.0));
vec2 uv = packedUVfrom1D(
packedTexShape[0], packedTexShape[1], index);
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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 ${s}(int index) {
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vec2 uv = packedUVfrom1D(
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${o[0]}, ${o[1]}, index);
return ${a.texture2D}(${n}, uv);
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}
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`}function wX(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return`
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float ${s}(int index) {
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${Nu(e)}
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}
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`;let r=e.shapeInfo.texShape,a=r[0],o=r[1];if(o===1&&a===1)return`
float ${s}(int index) {
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return sampleTexture(${n}, halfCR);
}
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`;let i=vi(n);return o===1?t?`
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float ${s}(int index) {
vec2 uv = vec2(0.5, (float(index + ${i}) + 0.5) / float(${n}TexShape[0]));
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return sampleTexture(${n}, uv);
}
`:`
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float ${s}(int index) {
vec2 uv = vec2(0.5, (float(index + ${i}) + 0.5) / ${a}.0);
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return sampleTexture(${n}, uv);
}
2021-09-11 17:17:13 +02:00
`:a===1?t?`
float ${s}(int index) {
vec2 uv = vec2((float(index + ${i}) + 0.5) / float(${n}TexShape[1]), 0.5);
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return sampleTexture(${n}, uv);
}
`:`
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float ${s}(int index) {
vec2 uv = vec2((float(index + ${i}) + 0.5) / ${o}.0, 0.5);
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return sampleTexture(${n}, uv);
}
`:t?`
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float ${s}(int index) {
vec2 uv = uvFromFlat(${n}TexShape[0], ${n}TexShape[1], index + ${i});
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return sampleTexture(${n}, uv);
}
`:`
2021-09-11 17:17:13 +02:00
float ${s}(int index) {
vec2 uv = uvFromFlat(${a}, ${o}, index + ${i});
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return sampleTexture(${n}, uv);
}
2021-09-28 18:01:48 +02:00
`}function kX(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=_n();if(a!=null&&w.arraysEqual(n,a))return t?`
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vec4 ${r}(int row, int col) {
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vec2 uv = (vec2(col, row) + halfCR) / vec2(${s}TexShape[1], ${s}TexShape[0]);
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2021-09-11 17:17:13 +02:00
return ${l.texture2D}(${s}, uv);
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}
`:`
vec4 ${r}(int row, int col) {
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vec2 uv = (vec2(col, row) + halfCR) / vec2(${i}.0, ${o}.0);
2021-09-11 16:29:31 +02:00
2021-09-11 17:17:13 +02:00
return ${l.texture2D}(${s}, uv);
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}
`;if(t)return`
vec4 ${r}(int row, int col) {
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ivec2 packedTexShape = ivec2(ceil(float(${s}TexShape[0]) / 2.0), ceil(float(${s}TexShape[1]) / 2.0));
int valuesPerRow = int(ceil(float(${s}Shape[1]) / 2.0));
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vec2 uv = packedUVfrom2D(valuesPerRow, packedTexShape[0], packedTexShape[1], row, col);
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return ${l.texture2D}(${s}, uv);
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}
2021-09-11 17:17:13 +02:00
`;let u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],c=Math.ceil(n[1]/2);return`
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vec4 ${r}(int row, int col) {
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vec2 uv = packedUVfrom2D(${c}, ${u[0]}, ${u[1]}, row, col);
return ${l.texture2D}(${s}, uv);
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}
2021-09-28 18:01:48 +02:00
`}function IX(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&&w.arraysEqual(n,a)){if(t)return`
2021-09-11 16:29:31 +02:00
float ${r}(int row, int col) {
2021-09-11 17:17:13 +02:00
vec2 uv = (vec2(col, row) + halfCR) / vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
2021-09-11 16:29:31 +02:00
}
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`;let p=a[0],h=a[1];return`
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float ${r}(int row, int col) {
2021-09-12 18:42:17 +02:00
vec2 uv = (vec2(col, row) + halfCR) / vec2(${h}.0, ${p}.0);
2021-09-11 17:17:13 +02:00
return sampleTexture(${s}, uv);
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}
2021-09-28 18:01:48 +02:00
`}let{newShape:o,keptDims:i}=w.squeezeShape(n),l=o;if(l.length<n.length){let p=Eu(e,l),h=["row","col"];return`
${Tu(p,t)}
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float ${r}(int row, int col) {
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return ${r}(${Ru(h,i)});
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}
`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col) {
int index = round(dot(vec2(row, col), vec2(${n[1]}, 1)));
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${Nu(e)}
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}
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`;let u=a[0],c=a[1],d=vi(s);return c===1?t?`
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float ${r}(int row, int col) {
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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);
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}
`:`
float ${r}(int row, int col) {
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float index = dot(vec3(row, col, ${d}), vec3(${n[1]}, 1, 1));
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vec2 uv = vec2(0.5, (index + 0.5) / ${u}.0);
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return sampleTexture(${s}, uv);
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}
`:u===1?t?`
float ${r}(int row, int col) {
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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);
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}
`:`
float ${r}(int row, int col) {
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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);
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}
`:t?`
float ${r}(int row, int col) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * ${s}Shape[1] + col + ${d};
vec2 uv = uvFromFlat(${s}TexShape[0], ${s}TexShape[1], index);
return sampleTexture(${s}, uv);
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}
`:`
float ${r}(int row, int col) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * ${n[1]} + col + ${d};
vec2 uv = uvFromFlat(${u}, ${c}, index);
return sampleTexture(${s}, uv);
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}
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`}function SX(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 p=n.slice(1),h=[1,2],f=Eu(e,p),m=["b","row","col"];return`
${K6(f,t)}
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vec4 ${r}(int b, int row, int col) {
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return ${r}(${Ru(m,h)});
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}
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`}let i=_n();if(t)return`
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vec4 ${r}(int b, int row, int col) {
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ivec2 packedTexShape = ivec2(ceil(float(${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));
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vec2 uv = packedUVfrom3D(
packedTexShape[0], packedTexShape[1], texelsInBatch, valuesPerRow, b, row, col);
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return ${i.texture2D}(${s}, uv);
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}
2021-09-11 17:17:13 +02:00
`;let l=o[0],u=o[1],c=Math.ceil(n[2]/2),d=c*Math.ceil(n[1]/2);return`
2021-09-11 16:29:31 +02:00
vec4 ${r}(int b, int row, int col) {
vec2 uv = packedUVfrom3D(
2021-09-11 17:17:13 +02:00
${l}, ${u}, ${d}, ${c}, b, row, col);
return ${i.texture2D}(${s}, uv);
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}
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`}function CX(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}=w.squeezeShape(n),u=i;if(u.length<n.length){let m=Eu(e,u),g=["row","col","depth"];return`
${Tu(m,t)}
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float ${r}(int row, int col, int depth) {
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return ${r}(${Ru(g,l)});
2021-08-14 17:17:51 +02:00
}
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`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col, int depth) {
int index = round(dot(vec3(row, col, depth),
2021-09-11 17:17:13 +02:00
vec3(${a}, ${o}, 1)));
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${Nu(e)}
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}
2021-09-12 18:42:17 +02:00
`;let c=e.shapeInfo.texShape,d=c[0],p=c[1],h=e.shapeInfo.flatOffset;if(p===a&&h==null)return t?`
2021-09-11 16:29:31 +02:00
float ${r}(int row, int col, int depth) {
2021-09-11 17:17:13 +02:00
int stride1 = ${s}Shape[2];
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float texR = float(row);
float texC = dot(vec2(col, depth), vec2(stride1, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
2021-09-11 17:17:13 +02:00
vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
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}
`:`
float ${r}(int row, int col, int depth) {
float texR = float(row);
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float texC = dot(vec2(col, depth), vec2(${o}, 1));
2021-09-11 16:29:31 +02:00
vec2 uv = (vec2(texC, texR) + halfCR) /
2021-09-12 18:42:17 +02:00
vec2(${p}.0, ${d}.0);
2021-09-11 17:17:13 +02:00
return sampleTexture(${s}, uv);
2021-08-14 17:17:51 +02:00
}
2021-09-12 18:42:17 +02:00
`;if(p===o&&h==null)return t?`
2021-09-11 16:29:31 +02:00
float ${r}(int row, int col, int depth) {
2021-09-11 17:17:13 +02:00
float texR = dot(vec2(row, col), vec2(${s}Shape[1], 1));
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float texC = float(depth);
2021-09-11 17:17:13 +02:00
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
2021-09-11 16:29:31 +02:00
}
`:`
float ${r}(int row, int col, int depth) {
float texR = dot(vec2(row, col), vec2(${n[1]}, 1));
float texC = float(depth);
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vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${p}.0, ${d}.0);
2021-09-11 17:17:13 +02:00
return sampleTexture(${s}, uv);
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}
2021-09-28 18:01:48 +02:00
`;let f=vi(s);return t?`
2021-09-11 16:29:31 +02:00
float ${r}(int row, int col, int depth) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
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);
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}
`:`
float ${r}(int row, int col, int depth) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * ${a} + col * ${o} + depth + ${f};
2021-09-12 18:42:17 +02:00
vec2 uv = uvFromFlat(${d}, ${p}, index);
2021-09-11 17:17:13 +02:00
return sampleTexture(${s}, uv);
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}
2021-09-28 18:01:48 +02:00
`}function TX(e,t){let n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),r=_n();if(t)return`
2021-09-11 17:17:13 +02:00
vec4 ${s}(int b2, int b, int row, int col) {
2021-09-11 16:29:31 +02:00
int valuesPerRow = int(ceil(float(${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);
}
2021-09-12 18:42:17 +02:00
`;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),p=d*Math.ceil(a[o-2]/2),h="int b, int row, int col",f=`b * ${p} + (row / 2) * ${d} + (col / 2)`;for(let m=2;m<o-1;m++)h=`int b${m}, `+h,p*=a[o-m-1],f=`b${m} * ${p} + `+f;return`
vec4 ${s}(${h}) {
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int index = ${f};
int texR = index / ${c};
int texC = index - texR * ${c};
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${c}, ${u});
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return ${r.texture2D}(${n}, uv);
}
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`}function NX(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}=w.squeezeShape(n);if(l.length<n.length){let y=Eu(e,l),x=["row","col","depth","depth2"];return`
${Tu(y,t)}
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float ${r}(int row, int col, int depth, int depth2) {
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return ${r}(${Ru(x,u)});
2021-09-11 16:29:31 +02:00
}
`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col, int depth, int depth2) {
int index = round(dot(vec4(row, col, depth, depth2),
2021-09-11 17:17:13 +02:00
vec4(${i}, ${o}, ${a}, 1)));
2021-09-28 18:01:48 +02:00
${Nu(e)}
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
`;let c=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,p=d[0],h=d[1],f=`int stride2 = ${s}Shape[3];`,m=`int stride1 = ${s}Shape[2] * stride2;`,g=`int stride0 = ${s}Shape[1] * stride1;`;if(h===i&&c==null)return t?`
2021-09-11 16:29:31 +02:00
float ${r}(int row, int col, int depth, int depth2) {
${f}
2021-09-11 17:17:13 +02:00
${m}
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float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
vec3(stride1, stride2, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
2021-09-11 17:17:13 +02:00
vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
2021-09-11 16:29:31 +02:00
}
`:`
float ${r}(int row, int col, int depth, int depth2) {
float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
2021-09-11 17:17:13 +02:00
vec3(${o}, ${a}, 1));
2021-09-11 16:29:31 +02:00
vec2 uv = (vec2(texC, texR) + halfCR) /
2021-09-12 18:42:17 +02:00
vec2(${h}.0, ${p}.0);
2021-09-11 17:17:13 +02:00
return sampleTexture(${s}, uv);
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
`;if(h===a&&c==null)return t?`
2021-09-11 16:29:31 +02:00
float ${r}(int row, int col, int depth, int depth2) {
float texR = dot(vec3(row, col, depth),
2021-09-11 17:17:13 +02:00
vec3(${s}Shape[1] * ${s}Shape[2], ${s}Shape[2], 1));
2021-09-11 16:29:31 +02:00
float texC = float(depth2);
vec2 uv = (vec2(texC, texR) + halfCR) /
2021-09-11 17:17:13 +02:00
vec2(${s}TexShape[1], ${s}TexShape[0]);
return sampleTexture(${s}, uv);
2021-09-11 16:29:31 +02:00
}
`:`
float ${r}(int row, int col, int depth, int depth2) {
float texR = dot(vec3(row, col, depth),
vec3(${n[1]*n[2]}, ${n[2]}, 1));
float texC = float(depth2);
vec2 uv = (vec2(texC, texR) + halfCR) /
2021-09-12 18:42:17 +02:00
vec2(${h}.0, ${p}.0);
2021-09-11 17:17:13 +02:00
return sampleTexture(${s}, uv);
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
`;let A=vi(s);return t?`
2021-09-11 16:29:31 +02:00
float ${r}(int row, int col, int depth, int depth2) {
// Explicitly use integer operations as dot() only works on floats.
${f}
2021-09-11 17:17:13 +02:00
${m}
2021-09-11 16:29:31 +02:00
${g}
int index = row * stride0 + col * stride1 +
depth * stride2 + depth2;
2021-09-11 17:17:13 +02:00
vec2 uv = uvFromFlat(${s}TexShape[0], ${s}TexShape[1], index + ${A});
return sampleTexture(${s}, uv);
2021-09-11 16:29:31 +02:00
}
`:`
float ${r}(int row, int col, int depth, int depth2) {
// Explicitly use integer operations as dot() only works on floats.
2021-09-11 17:17:13 +02:00
int index = row * ${i} + col * ${o} +
depth * ${a} + depth2;
2021-09-12 18:42:17 +02:00
vec2 uv = uvFromFlat(${p}, ${h}, index + ${A});
2021-09-11 17:17:13 +02:00
return sampleTexture(${s}, uv);
2021-09-11 16:29:31 +02:00
}
2021-09-28 18:01:48 +02:00
`}function EX(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}=w.squeezeShape(t);if(l.length<t.length){let m=Eu(e,l),g=["row","col","depth","depth2","depth3"];return`
${Tu(m)}
2021-09-11 17:17:13 +02:00
float ${s}(int row, int col, int depth, int depth2, int depth3) {
2021-09-28 18:01:48 +02:00
return ${s}(${Ru(g,u)});
2021-09-11 16:29:31 +02:00
}
`}if(e.shapeInfo.isUniform)return`
2021-09-11 17:17:13 +02:00
float ${s}(int row, int col, int depth, int depth2, int depth3) {
2021-09-11 16:29:31 +02:00
float index = dot(
vec4(row, col, depth, depth2),
2021-09-11 17:17:13 +02:00
vec4(${i}, ${o}, ${a}, ${r})) +
2021-09-11 16:29:31 +02:00
depth3;
2021-09-28 18:01:48 +02:00
${Nu(e)}
2021-09-11 16:29:31 +02:00
}
2021-09-12 18:42:17 +02:00
`;let c=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,p=d[0],h=d[1];if(h===i&&c==null)return`
2021-09-11 17:17:13 +02:00
float ${s}(int row, int col, int depth, int depth2, int depth3) {
2021-09-11 16:29:31 +02:00
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
2021-09-11 17:17:13 +02:00
vec4(${o}, ${a}, ${r}, 1));
2021-09-11 16:29:31 +02:00
vec2 uv = (vec2(texC, texR) + halfCR) /
2021-09-12 18:42:17 +02:00
vec2(${h}.0, ${p}.0);
2021-09-11 16:29:31 +02:00
return sampleTexture(${n}, uv);
}
2021-09-12 18:42:17 +02:00
`;if(h===r&&c==null)return`
2021-09-11 17:17:13 +02:00
float ${s}(int row, int col, int depth, int depth2, int depth3) {
2021-09-11 16:29:31 +02:00
float texR = dot(
vec4(row, col, depth, depth2),
vec4(${t[1]*t[2]*t[3]},
${t[2]*t[3]}, ${t[3]}, 1));
int texC = depth3;
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${h}.0, ${p}.0);
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return sampleTexture(${n}, uv);
}
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`;let f=vi(n);return`
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float ${s}(int row, int col, int depth, int depth2, int depth3) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${i} + col * ${o} + depth * ${a} +
depth2 * ${r} + depth3 + ${f};
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vec2 uv = uvFromFlat(${p}, ${h}, index);
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return sampleTexture(${n}, uv);
}
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`}function RX(e){let t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:r,keptDims:a}=w.squeezeShape(t);if(r.length<t.length){let g=Eu(e,r),A=["row","col","depth","depth2","depth3","depth4"];return`
${Tu(g)}
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float ${s}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
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return ${s}(${Ru(A,a)});
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}
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`}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 ${s}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
int index = round(dot(
vec4(row, col, depth, depth2),
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vec4(${c}, ${u}, ${l}, ${i})) +
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dot(
vec2(depth3, depth4),
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vec2(${o}, 1)));
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${Nu(e)}
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}
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`;let d=e.shapeInfo.flatOffset,p=e.shapeInfo.texShape,h=p[0],f=p[1];if(f===c&&d==null)return`
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float ${s}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
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vec4(${u}, ${l}, ${i}, ${o})) +
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float(depth4);
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${f}.0, ${h}.0);
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return sampleTexture(${n}, uv);
}
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`;if(f===o&&d==null)return`
float ${s}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
float texR = dot(vec4(row, col, depth, depth2),
vec4(${t[1]*t[2]*t[3]*t[4]},
${t[2]*t[3]*t[4]},
${t[3]*t[4]},
${t[4]})) + float(depth3);
int texC = depth4;
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${f}.0, ${h}.0);
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return sampleTexture(${n}, uv);
}
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`;let m=vi(n);return`
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float ${s}(int row, int col, int depth,
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int depth2, int depth3, int depth4) {
// Explicitly use integer operations as dot() only works on floats.
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int index = row * ${c} + col * ${u} + depth * ${l} +
depth2 * ${i} + depth3 * ${o} + depth4 + ${m};
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vec2 uv = uvFromFlat(${h}, ${f}, index);
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return sampleTexture(${n}, uv);
}
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`}function Nu(e){let t=e.name,n=w.sizeFromShape(e.shapeInfo.logicalShape);return n<2?`return ${t};`:`
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for (int i = 0; i < ${n}; i++) {
if (i == index) {
return ${t}[i];
}
}
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`}function DX(e,t){let n=e.name,s=n.charAt(0).toUpperCase()+n.slice(1),r="get"+s+"AtOutCoords",a=e.shapeInfo.logicalShape.length,o=t.logicalShape.length,i=X6(e.shapeInfo.logicalShape,t.logicalShape),l=yt(o),u=o-a,c,d=["x","y","z","w","u","v"];a===0?c="":o<2&&i.length>=1?c="coords = 0;":c=i.map(y=>`coords.${d[y+u]} = 0;`).join(`
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`);let p="";o<2&&a>0?p="coords":p=e.shapeInfo.logicalShape.map((y,x)=>`coords.${d[x+u]}`).join(", ");let h="return outputValue;",m=w.sizeFromShape(e.shapeInfo.logicalShape)===1,A=w.sizeFromShape(t.logicalShape)===1;if(a===1&&!m&&!A)h=`
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return vec4(outputValue.xy, outputValue.xy);
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`;else if(m&&!A)o===1?h=`
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return vec4(outputValue.x, outputValue.x, 0., 0.);
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`:h=`
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return vec4(outputValue.x);
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`;else if(i.length){let y=a-2,x=a-1;i.indexOf(y)>-1&&i.indexOf(x)>-1?h="return vec4(outputValue.x);":i.indexOf(y)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":i.indexOf(x)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}return`
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vec4 ${r}() {
${l} coords = getOutputCoords();
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${c}
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vec4 outputValue = get${s}(${p});
${h}
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}
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`}function _X(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&&w.arraysEqual(o,a))return`
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float ${r}() {
return sampleTexture(${n}, resultUV);
}
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`;let u=yt(l),c=X6(e.shapeInfo.logicalShape,t.logicalShape),d=l-i,p,h=["x","y","z","w","u","v"];i===0?p="":l<2&&c.length>=1?p="coords = 0;":p=c.map(m=>`coords.${h[m+d]} = 0;`).join(`
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`);let f="";return l<2&&i>0?f="coords":f=e.shapeInfo.logicalShape.map((m,g)=>`coords.${h[g+d]}`).join(", "),`
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float ${r}() {
${u} coords = getOutputCoords();
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${p}
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return get${s}(${f});
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}
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`}function yt(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 N2(e,t,n){let{newShape:s,keptDims:r}=w.squeezeShape(t),a=t.length,o=e&&a===3&&t[0]===1,i=o?t.slice(1):s,l=!e&&a>1&&!w.arraysEqual(t,n)&&s.length<a||o;return{useSqueezeShape:l,uniformShape:l?i:t,keptDims:r}}function Eu(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function Ru(e,t){return t.map(n=>e[n]).join(", ")}function $X(e,t,n,s){let r=n.map((x,b)=>{let v={logicalShape:x.shape,texShape:x.isUniform?null:x.texData.texShape,isUniform:x.isUniform,isPacked:x.isUniform?!1:x.texData.isPacked,flatOffset:null};return x.texData!=null&&x.texData.slice!=null&&x.texData.slice.flatOffset>0&&(v.flatOffset=x.texData.slice.flatOffset),{name:t.variableNames[b],shapeInfo:v}}),a=r.map(x=>x.shapeInfo),o={logicalShape:s.shape,texShape:s.texData.texShape,isUniform:!1,isPacked:s.texData.isPacked,flatOffset:null},i=Yq(r,o,t),l=e.createProgram(i),u=null,c=e.getUniformLocation(l,"NAN",!1);Y().getNumber("WEBGL_VERSION")===1&&(u=e.getUniformLocation(l,"INFINITY",!1));let d=!1,p={},h={},f={};for(let x=0;x<t.variableNames.length;x++){let b=t.variableNames[x];p[b]=e.getUniformLocation(l,b,d),p[`offset${b}`]=e.getUniformLocation(l,`offset${b}`,d),t.enableShapeUniforms&&(h[`${b}Shape`]=e.getUniformLocation(l,`${b}Shape`,d),f[`${b}TexShape`]=e.getUniformLocation(l,`${b}TexShape`,d))}let m,g,A;t.enableShapeUniforms&&(m=e.getUniformLocation(l,"outShape",d),A=e.getUniformLocation(l,"outShapeStrides",d),g=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:p,customUniformLocations:y,inShapeInfos:a,outShapeInfo:o,infLoc:u,nanLoc:c,inShapesLocations:h,inTexShapesLocations:f,outShapeLocation:m,outShapeStridesLocation:A,outTexShapeLocation:g}}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(!w.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(!w.arraysEqual(i,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${i} and ${l} must match`)})}function FX(e,t,n,s,r){t.program.enableShapeUniforms||(Y6(t.inShapeInfos,n),Y6([t.outShapeInfo],[s]));let a=s.texData.texture,o=s.texData.texShape;s.texData.isPacked?e.setOutputPackedMatrixTexture(a,o[0],o[1]):e.setOutputMatrixTexture(a,o[0],o[1]),e.setProgram(t.webGLProgram),Y().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((l,u)=>{let c=t.program.variableNames[u],d=t.uniformLocations[c],p=t.uniformLocations[`offset${c}`],h=t.inShapesLocations[`${c}Shape`],f=t.inTexShapesLocations[`${c}TexShape`];if(h){let{uniformShape:m}=N2(t.program.packedInputs,l.shape,l.texData.texShape);switch(m.length){case 1:e.gl.uniform1iv(h,new Int32Array(m));break;case 2:e.gl.uniform2iv(h,new Int32Array(m));break;case 3:e.gl.uniform3iv(h,new Int32Array(m));break;case 4:e.gl.uniform4iv(h,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(w.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&&p!=null&&e.gl.uniform1i(p,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
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ivec3 outCoordsFromFlatIndex(int index) {
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${this.enableShapeUniforms?u0(["r","c","d"],e):bi(["r","c","d"],e)}
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return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));
int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getA(rc.x, rc.y, rc.z);
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}
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${t.output} = result;
}
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`}},MX=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Cd.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=_n();this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length),this.userCode=`
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ivec3 outCoordsFromFlatIndex(int index) {
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${this.enableShapeUniforms?u0(["r","c","d"],e):bi(["r","c","d"],e)}
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return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));
int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));
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}
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${t.output} = result;
}
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`}},zX=class{constructor(e){this.variableNames=["A"],this.outTexUsage=ws.DOWNLOAD;let t=_n();this.outputShape=e,this.userCode=`
${q6}
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void main() {
float x = getAAtOutCoords();
${t.output} = encode_float(x);
}
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`}},LX=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=ws.DOWNLOAD;let t=_n();this.outputShape=e,this.userCode=`
${q6}
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void main() {
ivec3 coords = getOutputCoords();
float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
${t.output} = encode_float(x);
}
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`}},BX=class{constructor(e,t=!1){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=_n();this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length);let s="result";t&&(s="floor(result * 255. + 0.5)"),this.userCode=`
${this.enableShapeUniforms?T2():C2(e)}
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void main() {
ivec3 coords = getOutputCoords();
int flatIndex = getFlatIndex(coords);
int offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
int r = flatIndex / texShape[1];
int c = imod(flatIndex, texShape[1]);
vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);
vec4 values = ${n.texture2D}(A, uv);
float result;
if(offset == 0) {
result = values[0];
} else if(offset == 1) {
result = values[1];
} else if(offset == 2) {
result = values[2];
} else {
result = values[3];
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}
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${n.output} = vec4(${s}, 0., 0., 0.);
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}
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`}},WX=class{constructor(e,t=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=_n();this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length);let s="",r="result";t&&(r="floor(result * 255. + 0.5)");for(let a=0;a<=1;a++)for(let o=0;o<=1;o++){let i=a*2+o;s+=`
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localCoords = coords;
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if(localCoords[2] + ${o} < ${this.enableShapeUniforms?"outShape[2]":`${e[2]}`}) {
localCoords[2] += ${o};
if (localCoords[1] + ${a} < ${this.enableShapeUniforms?"outShape[1]":`${e[1]}`}) {
localCoords[1] += ${a};
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flatIndex = getFlatIndex(localCoords);
offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
int r = flatIndex / texShape[1];
int c = imod(flatIndex, texShape[1]);
vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);
values = ${n.texture2D}(A, uv);
if (offset == 0) {
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result[${i}] = values[0];
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} else if (offset == 1) {
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result[${i}] = values[1];
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} else if (offset == 2) {
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result[${i}] = values[2];
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} else {
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result[${i}] = values[3];
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}
}
}
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`}this.userCode=`
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${this.enableShapeUniforms?T2():C2(e)}
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void main() {
ivec3 coords = getOutputCoords();
vec4 result = vec4(0.);
int flatIndex, r, c, offset;
ivec3 localCoords;
vec2 uv;
vec4 values;
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${s}
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${n.output} = ${r};
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}
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`}},J6={};Le(J6,{bindVertexProgramAttributeStreams:()=>i4,createBufferFromOutputTexture:()=>c4,createFloat16MatrixTexture:()=>s4,createFloat16PackedMatrixTexture:()=>o4,createFloat32MatrixTexture:()=>n4,createIndexBuffer:()=>t4,createPackedMatrixTexture:()=>a4,createUnsignedBytesMatrixTexture:()=>r4,createVertexBuffer:()=>e4,createVertexShader:()=>Q6,downloadByteEncodedFloatMatrixFromOutputTexture:()=>p4,downloadFloat32MatrixFromBuffer:()=>d4,downloadMatrixFromPackedOutputTexture:()=>f4,downloadPackedMatrixFromBuffer:()=>h4,getInternalFormatForFloat16MatrixTexture:()=>R2,getInternalFormatForFloat16PackedMatrixTexture:()=>$2,getInternalFormatForFloat32MatrixTexture:()=>E2,getInternalFormatForPackedMatrixTexture:()=>_2,getInternalFormatForUnsignedBytesMatrixTexture:()=>D2,uploadDenseMatrixToTexture:()=>l4,uploadPixelDataToTexture:()=>u4});function Q6(e){let t=_n(),n=`${t.version}
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precision highp float;
${t.attribute} vec3 clipSpacePos;
${t.attribute} vec2 uv;
${t.varyingVs} vec2 resultUV;
void main() {
gl_Position = vec4(clipSpacePos, 1);
resultUV = uv;
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}`;return S6(e,n)}function e4(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 E6(e,t)}function t4(e){let t=new Uint16Array([0,1,2,2,1,3]);return R6(e,t)}function Dd(e,t,n,s,r,a){_6(t,n);let o=D6(e),i=e.TEXTURE_2D;return ke(e,()=>e.bindTexture(i,o)),ke(e,()=>e.texParameteri(i,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),ke(e,()=>e.texParameteri(i,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),ke(e,()=>e.texParameteri(i,e.TEXTURE_MIN_FILTER,e.NEAREST)),ke(e,()=>e.texParameteri(i,e.TEXTURE_MAG_FILTER,e.NEAREST)),ke(e,()=>e.texImage2D(i,0,s,t,n,0,r,a,null)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,null)),o}function E2(e){return e.internalFormatFloat}function n4(e,t,n,s){let[r,a]=Td(t,n);return Dd(e,r,a,E2(s),s.textureFormatFloat,e.FLOAT)}function R2(e){return e.internalFormatHalfFloat}function s4(e,t,n,s){let[r,a]=Td(t,n);return Dd(e,r,a,R2(s),s.textureFormatFloat,s.textureTypeHalfFloat)}function D2(e){return e.downloadTextureFormat}function r4(e,t,n,s){let[r,a]=Td(t,n);return Dd(e,r,a,D2(s),e.RGBA,e.UNSIGNED_BYTE)}function _2(e){return e.internalFormatPackedFloat}function a4(e,t,n,s){let[r,a]=Su(t,n);return Dd(e,r,a,_2(s),e.RGBA,e.FLOAT)}function $2(e){return e.internalFormatPackedHalfFloat}function o4(e,t,n,s){let[r,a]=Su(t,n);return Dd(e,r,a,$2(s),e.RGBA,s.textureTypeHalfFloat)}function i4(e,t,n){let s=0,r=3*4,a=3*4+2*4;return ke(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),w2(e,t,"clipSpacePos",n,3,a,s)&&w2(e,t,"uv",n,2,a,r)}function l4(e,t,n,s,r,a){ke(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),ke(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,s,0,e.RGBA,i,o)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function u4(e,t,n){ke(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?ke(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):ke(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),ke(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function c4(e,t,n,s){let r=e.createBuffer();ke(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let i=4*4*t*n;return ke(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)),ke(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),ke(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function d4(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 p4(e,t,n,s){let[r,a]=Td(t,n),o=4,i=new Uint8Array(Pq(t*n,o));return ke(e,()=>e.readPixels(0,0,r,a,s.downloadTextureFormat,e.UNSIGNED_BYTE,i)),new Float32Array(i.buffer)}function h4(e,t,n,s,r,a,o,i){let l=e,u=new Float32Array(Mq(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 f4(e,t,n){let s=new Float32Array(t*n*4);return ke(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,s)),s}var c0=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let t=Y().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,t0(t,e)):this.gl=wr(t);let n="WEBGL_color_buffer_float",s="EXT_color_buffer_half_float";if(Y().getNumber("WEBGL_VERSION")===1){let r="OES_texture_float",a="OES_texture_half_float";if(this.textureFloatExtension=Nd(this.gl,r),ks(this.gl,a))this.textureHalfFloatExtension=Nd(this.gl,a);else if(Y().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),ks(this.gl,s))this.colorBufferHalfFloatExtension=Nd(this.gl,s);else if(Y().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",ks(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else if(ks(this.gl,s))this.
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void main() {
setOutput(vec4(getA(), 0., 0., 0.));
}
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`;else{let n=$n("rc",t),s=yt(t),r=RK(t,e,n),a=DK(t,e[e.length-1],e[e.length-2],n),o=_K(e,n);this.userCode=`
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void main() {
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${s} rc = getOutputCoords();
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if(${r}) {
setOutput(vec4(0));
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} else {
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${a}
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setOutput(vec4(${o}));
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}
}
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`}}};function EK(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 RK(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 DK(e,t,n,s){if(e===1)return"";let r=s.slice(-2);return`
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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};
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`}function _K(e,t){let n=e.length,s=EK(n,t);return n===1?`getA(rc),
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rc + 1 >= ${e[0]} ? 0. : getA(rc + 1),
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0, 0`:`getA(${s[0]}),
cEdge ? 0. : getA(${s[1]}),
rEdge ? 0. : getA(${s[2]}),
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rEdge || cEdge ? 0. : getA(${s[3]})`}var x4=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length);let n="";for(let s=0;s<4;s++){let r="thisRC = rc;";s%2==1&&(r+="thisRC.z += 1;"),s>1&&(r+="thisRC.y += 1;"),n+=`
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${r}
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${s>0?"if(thisRC.y < rows && thisRC.z < cols){":""}
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int flatIndex = getFlatIndex(thisRC);
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ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);
vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));
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result[${s}] =
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getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
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${s>0?"}":""}
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`}this.userCode=`
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${$K(t,this.enableShapeUniforms)}
${this.enableShapeUniforms?T2():C2(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 = ${this.enableShapeUniforms?"outShape[1]":e[1]};
int cols = ${this.enableShapeUniforms?"outShape[2]":e[2]};
${n}
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setOutput(result);
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}
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`}};function $K(e,t){return`
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ivec3 inputCoordsFromReshapedOutCoords(int index) {
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${t?Zq(["r","c","d"],"inputShape"):bi(["r","c","d"],e)}
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return ivec3(r, c, d);
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}
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`}var FK=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=v4(t,n),r=w4(e,s,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let a=b4(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===xn.PACKED_2X2_FLOAT32?o=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):s===xn.PACKED_2X2_FLOAT16?o=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):s===xn.UNPACKED_FLOAT32?o=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):s===xn.UNPACKED_FLOAT16?o=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):s===xn.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=v4(n,s),a=w4(t,r,s);a in this.freeTextures||(this.freeTextures[a]=[]);let o=b4(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,s),i=Y().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 OK(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 b4(e,t,n,s,r){let a=PK(t,s),o;if(r){let[l,u]=Su(e[0],e[1]);o=l*u}else{let[l,u]=Td(e[0],e[1]);o=l*u}let i=OK(n,a);return o*i}function PK(e,t){switch(e){case xn.PACKED_2X2_FLOAT32:return _2(t);case xn.PACKED_2X2_FLOAT16:return $2(t);case xn.UNPACKED_FLOAT32:return E2(t);case xn.UNPACKED_FLOAT16:return R2(t);case xn.PACKED_4X1_UNSIGNED_BYTE:return D2(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function MK(e){return Y().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?xn.PACKED_2X2_FLOAT32:xn.UNPACKED_FLOAT32:e?xn.PACKED_2X2_FLOAT16:xn.UNPACKED_FLOAT16}function v4(e,t){if(e===ws.UPLOAD)return xn.PACKED_2X2_FLOAT32;if(e===ws.RENDER||e==null)return MK(t);if(e===ws.DOWNLOAD||e===ws.PIXELS)return xn.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function w4(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}var Ea=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length),this.userCode=`
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float unaryOperation(float x) {
${t}
}
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void main() {
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float x = getAAtOutCoords();
float y = unaryOperation(x);
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setOutput(y);
}
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`}},nr="if (isnan(x)) return x;",zK="return x;",k4="return abs(x);",LK="return (x >= 0.0) ? x : (exp(x) - 1.0);",BK=nr+`
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return (x < 0.0) ? 0.0 : x;
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`,WK=nr+`
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return (x < 0.0) ? 0.0 : min(6.0, x);
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`,d0="return x;",VK="return 1.0 / (1.0 + exp(-1.0 * x));",UK="return x;",HK=`
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vec4 result;
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result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
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return result;
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`,GK=`
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vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
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result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
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return result;
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`,jK=`
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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;
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`,qK="return 1.0 / (1.0 + exp(-1.0 * x));",Du=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length),this.userCode=`
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vec4 unaryOperation(vec4 x) {
${t}
}
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void main() {
vec4 x = getAAtOutCoords();
vec4 y = unaryOperation(x);
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setOutput(y);
}
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`}},XK=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;let t=e.length,n=$n("rc",t),s=yt(t),r=TK(t,n),a=n.slice(-2),o=t<=1?"rc":`vec2(${a.join(",")})`;this.userCode=`
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void main() {
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${s} rc = getOutputCoords();
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vec4 packedInput = getA(${r});
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setOutput(getChannel(packedInput, ${o}));
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}
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`}},KK=mr.whereImpl,ZK=1e-7,YK=1e-4,p0={};function JK(e){return e in p0||(p0[e]={}),p0[e]}var QK=Y().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),eZ=600;function tZ(){return Y().global.screen==null?1024:Y().global.screen.height*Y().global.screen.width*window.devicePixelRatio*eZ/1024/1024}var _u=class extends lc{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,!Y().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){let t=wr(Y().getNumber("WEBGL_VERSION"));this.binaryCache=JK(Y().getNumber("WEBGL_VERSION")),this.gpgpu=new c0(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 FK(this.gpgpu),this.numMBBeforeWarning=tZ(),this.texData=new Sp(this,Qn())}nextDataId(){return _u.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(e,t,n){if((Y().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||Y().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:ws.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(Y().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:ws.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 Du(o,d0):d=new Ea(o,d0);let p=this.runWebGLProgram(d,[{dataId:e,shape:o,dtype:s}],s),h=this.readSync(p.dataId);return this.disposeIntermediateTensorInfo(p),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(s==="string")return n;let l=this.activeTimers!=null,u;l&&(u=w.now());let c;if(s==="complex64"){let d=this.readSync(r.real.dataId),p=this.readSync(r.imag.dataId);c=_.mergeRealAndImagArrays(d,p)}else c=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=w.now()-u),this.convertAndCacheOnCPU(e,c)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(f=>h.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 h;i?h=new Du(s,d0):h=new Ea(s,d0);let f=this.runWebGLProgram(h,[{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(!Y().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&Y().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"&&Y().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture,...n0(s))}this.pendingRead.set(e,[]),a!=="complex64"&&await this.gpgpu.createAndWaitForFence();let c;if(a==="complex64"){let h=await Promise.all([this.read(o.real.dataId),this.read(o.imag.dataId)]),f=h[0],m=h[1];c=_.mergeRealAndImagArrays(f,m)}else if(l==null)c=this.getValuesFromTexture(e);else{let h=w.sizeFromShape(s);c=this.gpgpu.downloadFloat32MatrixFromBuffer(l,h)}if(u!=null&&this.disposeIntermediateTensorInfo(u),l!=null){let h=this.gpgpu.gl;ke(h,()=>h.deleteBuffer(l))}let d=this.convertAndCacheOnCPU(e,c),p=this.pendingRead.get(e);return this.pendingRead.delete(e),p.forEach(h=>h(d)),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e)&&Qn().remo
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if (isnan(a)) return a;
if (isnan(b)) return b;
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`,$u=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=_.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=Is(this.outputShape.length),this.userCode=`
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float binaryOperation(float a, float b) {
${e}
}
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void main() {
float a = getAAtOutCoords();
float b = getBAtOutCoords();
setOutput(binaryOperation(a, b));
}
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`}},h0=`
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result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
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`,_d=class{constructor(e,t,n,s=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=_.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=Is(r);let a="";if(s)if(r===0||w.sizeFromShape(this.outputShape)===1)a=`
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result.y = 0.;
result.z = 0.;
result.w = 0.;
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`;else if(a=`
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${yt(r)} coords = getOutputCoords();
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`,r===1)this.enableShapeUniforms?a+=`
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result.y = (coords + 1) >= outShape ? 0. : result.y;
result.z = 0.;
result.w = 0.;
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`:a+=`
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result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;
result.z = 0.;
result.w = 0.;
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`;else{let i=$n("coords",r);this.enableShapeUniforms?a+=`
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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;
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`:a+=`
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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) {
${e}
}
void main() {
vec4 a = getAAtOutCoords();
vec4 b = getBAtOutCoords();
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vec4 result = binaryOperation(a, b);
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${a}
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setOutput(result);
}
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`}};function cs(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 aZ={kernelName:uo,backendName:"webgl",kernelFunc:cs};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=cs({inputs:{x:s},backend:n}),l=cs({inputs:{x:r},backend:n});return o.complexTensorInfos={real:i,imag:l},a}var oZ={kernelName:$p,backendName:"webgl",kernelFunc:Ra},C4="return (a < 0.) ? b * a : a;",T4=`
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vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
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`;function iZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{alpha:a}=s,o=n.makeTensorInfo([],"float32",w.createScalarValue(a,"float32")),i=Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new _d(T4,r.shape,o.shape):new $u(C4,r.shape,o.shape),l=n.runWebGLProgram(i,[r,o],r.dtype);return n.disposeIntermediateTensorInfo(o),l}var lZ={kernelName:co,backendName:"webgl",kernelFunc:iZ},N4="return (a < 0.) ? b * a : a;",E4=`
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vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
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`;function uZ(e){let{inputs:t,backend:n}=e,{x:s,alpha:r}=t,a=Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new _d(E4,s.shape,r.shape):new $u(N4,s.shape,r.shape);return n.runWebGLProgram(a,[s,r],s.dtype)}var cZ={kernelName:Io,backendName:"webgl",kernelFunc:uZ},R4="if (isnan(x)) return x;",dZ=`
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if (isnan(a)) return a;
if (isnan(b)) return b;
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`,pZ=`
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result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
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`;function tt({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),p=n(d.values,l);return i.makeTensorInfo(o.shape,l,p)}let u=Y().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,c;return u?c=new Du(o.shape,t):c=new Ea(o.shape,e),i.runWebGLProgram(c,[o],l)}}function bn({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),[g,A]=[[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},S={dataId:v.dataId,dtype:v.dtype,shape:u.shape},C=new $u(e,l.shape,u.shape);return c.runWebGLProgram(C,[k,S],Ds(b.dtype,v.dtype))}),y=Ra({inputs:{real:g,imag:A},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(A),y}let d=a||Ds(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,g=l.dtype==="string"?_.fromUint8ToStringArray(f):f,A=l.dtype==="string"?_.fromUint8ToStringArray(m):m,[y,x]=r(l.shape,u.shape,g,A,d),b=c.makeTensorInfo(x,d),v=c.texData.get(b.dataId);return v.values=y,b}let p=Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return p?h=new _d(t,l.shape,u.shape,n):h=new $u(e,l.shape,u.shape),c.runWebGLProgram(h,[l,u],d)}}function f0(e,t=!1){if(e==="linear")return t?UK:zK;if(e==="relu")return t?GK:BK;if(e==="elu")return t?HK:LK;if(e==="relu6")return t?jK:WK;if(e==="prelu")return t?E4:N4;if(e==="leakyrelu")return t?T4:C4;if(e==="sigmoid")return t?qK:VK;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var D4=class{constructor(e,t,n,s=!1,r=!1,a=!1,o=null,i=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=Is(this.outputShape.length);let u=s?e[1]:e[2],c=Math.ceil(u/2),d=s?"i * 2, rc.y":"rc.y, i * 2",p=r?"rc.z, i * 2":"i * 2, rc.z",h=s?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],f=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],m="",g="";o&&(i?m=`vec4 activation(vec4 a) {
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vec4 b = getPreluActivationWeightsAtOutCoords();
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${o}
}`:l?m=`vec4 activation(vec4 a) {
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vec4 b = getLeakyreluAlphaAtOutCoords();
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${o}
}`:m=`vec4 activation(vec4 x) {
${o}
}`,g="result = activation(result);");let A=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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// Don't use uniform for sharedDimensionPacked for performance.
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const float sharedDimension = ${c}.0;
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vec4 dot2x2ARowBCol(ivec3 rc) {
vec4 result = vec4(0);
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for (int i = 0; i < ${c}; i++) {
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int batchA = ${y};
int batchB = ${x};
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vec4 a = getMatrixA(batchA, ${d});
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vec4 b = getMatrixB(batchB, ${p});
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// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
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result += (${h[0]} * ${f[0]});
result += (${h[1]} * ${f[1]});
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}
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return result;
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}
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void main() {
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ivec3 rc = getOutputCoords();
vec4 result = dot2x2ARowBCol(rc);
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${A}
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${g}
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setOutput(result);
}
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`}},_4={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},$4=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=_.assertAndGetBroadcastShape(t,n),this.userCode=`
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float binaryOpComplex(
float areal, float aimag, float breal, float bimag) {
${e}
}
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void main() {
float areal = getARealAtOutCoords();
float aimag = getAImagAtOutCoords();
float breal = getBRealAtOutCoords();
float bimag = getBImagAtOutCoords();
setOutput(binaryOpComplex(areal, aimag, breal, bimag));
}
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`}},F4="return a * b;";function O2(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 $4(_4.REAL,s.shape,r.shape),c=new $4(_4.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}],p=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(c,d,"float32"),f=Ra({inputs:{real:p,imag:h},backend:n});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}if(n.shouldExecuteOnCPU([s,r])){let i=n.texData.get(s.dataId),l=n.texData.get(r.dataId),[u,c]=lK(s.shape,r.shape,i.values,l.values,a),d=n.makeTensorInfo(c,a),p=n.texData.get(d.dataId);return p.values=u,d}let o;return Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")?o=new _d(F4,s.shape,r.shape):o=new $u(F4,s.shape,r.shape),n.runWebGLProgram(o,[s,r],a)}var hZ={kernelName:bo,backendName:"webgl",kernelFunc:O2};function fZ(e,t,n){let s=[yi(e.shape),...xi(e.shape)],r={dtype:e.dtype,shape:s,dataId:e.dataId},a=[yi(t),...xi(t)],o=new x4(a,s),i=!0,l=[s],u=n.runWebGLProgram(o,[r],e.dtype,l,i);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function be(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{shape:a}=s,o=n,i=w.sizeFromShape(r.shape),l=w.inferFromImplicitShape(a,i),u=w.sizeFromShape(l);w.assert(i===u,()=>`The new shape (${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&&!Rd(r.shape,l)&&!(c.texture!==null&&Rd(c.shape,l))?fZ(r,l,o):(o.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var mZ={kernelName:Rl,backendName:"webgl",kernelFunc:be},O4=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 * ${w.isInt(c)?c.toPrecision(2):c}, ones);`}let u="";r%n>0&&(u=`
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if (inIdx < 0 || inIdx >= ${r}) {
return 0.0;
}
`),this.userCode=`
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
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float getValue(int batch, int inIdx) {
${u}
return getX(batch, inIdx);
}
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
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 < ${o}; i += 4) {
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int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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${l}
}
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int inIdx = inOffset + ${o};
if (${i===1}) {
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vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);
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${l}
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} else if (${i===2}) {
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vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1), 0.0, 0.0);
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${l}
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} else if (${i===3}) {
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vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2), 0.0);
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${l}
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}
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setOutput(sumValue);
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}
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`}},gZ=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:s,inSize:r,outSize:a}=e;this.outputShape=[s,a];let o="0.0",i="";t==="prod"?o="1.0":t==="min"?(o="1.0 / 1e-20",i="min"):t==="max"&&(o="-1.0 / 1e-20",i="max");let l=`${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=`
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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];
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} else {
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minMaxValue = ${i}(values, minMaxValue);
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if (${t==="min"} || ${t==="max"}) {
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minMaxValue = ${i}(values, minMaxValue);
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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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`,p="vec4";t==="all"?(o="1.0",d=`
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bool reducedAllValue = all(values);
float floatedReducedAllValue = float(reducedAllValue);
allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
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`,p="bvec4"):t==="any"&&(o="0.0",d=`
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bool reducedAnyValue = any(values);
float floatedReducedAnyValue = float(reducedAnyValue);
anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
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`,p="bvec4");let h="";r%n>0&&(h=`
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if (inIdx < 0 || inIdx >= ${r}) {
return initializationValue;
}
`),this.userCode=`
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const float initializationValue = ${o};
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const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
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float getValue(int batch, int inIdx) {
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${h}
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return getX(batch, inIdx);
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}
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2021-09-05 22:42:11 +02:00
void main() {
ivec2 coords = getOutputCoords();
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int batch = coords[0];
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int outIdx = coords[1];
int inOffset = outIdx * ${n};
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vec4 minMaxValue = vec4(${o});
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float prodValue = 1.0;
float sumValue = 0.0;
float allValue = 1.0;
float anyValue = 0.0;
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for (int i = 0; i < ${u}; i += 4) {
int inIdx = inOffset + i;
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${p} values = ${p}(
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getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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${d}
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}
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int inIdx = inOffset + ${u};
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if (${c===1}) {
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${p} values = ${p}(
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getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
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${d}
} else if (${c===2}) {
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${p} values = ${p}(
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getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
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${d}
} else if (${c===3}) {
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${p} values = ${p}(
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getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
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${d}
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}
setOutput(${l});
}
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`}};function AZ(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],s=_.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:s,outSize:Math.ceil(n/s)})}return t}function wi(e,t,n,s){let r=AZ(e.shape),a=e;for(let o=0;o<r.length;o++){let{inSize:i,windowSize:l,outSize:u}=r[o],c,d;n==="mean"?c=o===0?new O4({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u},i):new O4({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u}):c=new gZ({windowSize:l,inSize:i,batchSize:e.shape[0],outSize:u},n),d=a,a=s.runWebGLProgram(c,[a],t),d.dataId!==e.dataId&&s.disposeIntermediateTensorInfo(d)}return a}var yZ=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let a=0;a<n.length;a++)n[a]=e[t[a]];this.outputShape=n,this.rank=n.length;let s=yt(this.rank),r=xZ(t);this.userCode=`
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void main() {
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${s} resRC = getOutputCoords();
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setOutput(getA(${r}));
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}
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`}};function xZ(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 bZ=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 ${this.rank} is not yet supported.`);let s=yt(this.rank),r=y4("rc",this.rank),a=new Array(this.rank);for(let u=0;u<t.length;u++)a[t[u]]=r[u];let o=`vec2(${a.slice(-2).join()})`,i=`++${r[this.rank-1]} < ${n[this.rank-1]}`,l=`getChannel(getA(${a.join()}), ${o})`;this.userCode=`
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void main() {
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${s} rc = getOutputCoords();
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vec4 result = vec4(0.);
result[0] = ${l};
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if(${i}) {
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result[1] = ${l};
}
--${r[this.rank-1]};
if(++${r[this.rank-2]} < ${n[this.rank-2]}) {
result[2] = ${l};
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if(${i}) {
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result[3] = ${l};
}
}
setOutput(result);
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}
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`}};function m0(e,t,n){let s=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new bZ(e.shape,t):new yZ(e.shape,t);return n.runWebGLProgram(s,[e],e.dtype)}function vZ(e,t,n,s){let r=t,a=e.shape.length,o=w.parseAxisParam(r,e.shape),i=o,l=_.getAxesPermutation(i,a),u=l!=null,c=e;u&&(c=m0(e,l,s),i=_.getInnerMostAxes(i.length,a)),_.assertAxesAreInnerMostDims("sum",i,a);let[d,p]=_.computeOutAndReduceShapes(c.shape,i),h=d;n&&(h=_.expandShapeToKeepDim(d,o));let f=w.sizeFromShape(p),g=w.sizeFromShape(e.shape)/f,A=be({inputs:{x:c},attrs:{shape:[g,f]},backend:s}),y=yh(e.dtype),x=wi(A,y,"sum",s),b=be({inputs:{x},attrs:{shape:h},backend:s});return s.disposeIntermediateTensorInfo(A),s.disposeIntermediateTensorInfo(x),u&&s.disposeIntermediateTensorInfo(c),b}function g0(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s;return vZ(r,a,o,n)}var wZ={kernelName:Fo,backendName:"webgl",kernelFunc:g0};function Fn(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,p=F2(d,r.shape,r.dtype,a,l);u=o.makeTensorInfo(l,r.dtype);let h=o.texData.get(u.dataId);h.values=p}else u=m0(r,a,o);return u}var kZ={kernelName:Bo,backendName:"webgl",kernelFunc:Fn},P4=1e3;function A0({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],p=s?t.shape[c-1]:t.shape[c-2],h=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),g=t.shape.slice(0,-2),A=w.sizeFromShape(m),y=w.sizeFromShape(g),x=A===y||A===1||y===1;w.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 (${g}).`);let v=(A>y?e.shape.slice(0,-2):t.shape.slice(0,-2)).concat([h,f]);w.assert(d===p,()=>`Error in matMul: inner shapes (${d}) and (${p}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${s} must match.`);let k=n?[A,d,h]:[A,h,d],S=s?[y,f,p]:[y,p,f],C=be({inputs:{x:e},backend:r,attrs:{shape:k}}),D=be({inputs:{x:t},backend:r,attrs:{shape:S}}),O=[C,D],E=Math.max(A,y),R=n?C.shape[1]:C.shape[2],T=a!=null,P=o!=null,U=l==="leakyrelu",j=l!=null?f0(l,!0):null,q=T||P||U||j!=null,X;if((h===1||f===1)&&R>P4&&q===!1){let ne=C,se=D;n&&(ne=Fn({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),O.push(ne)),s&&(se=Fn({inputs:{x:D},backend:r,attrs:{perm:[0,2,1]}}),O.push(se));let ae=f!==1,Q=f===1,ce=ne;ae&&(ce=be({inputs:{x:ne},backend:r,attrs:{shape:[E,R,1]}}),O.push(ce));let de=f===1?2:1,fe=se;Q&&(fe=be({inputs:{x:se},backend:r,attrs:{shape:[E,1,R]}}),O.push(fe));let xe=O2({inputs:{a:ce,b:fe},backend:r});X=g0({inputs:{x:xe},backend:r,attrs:{axis:de,keepDims:!0}}),O.push(xe)}else{let ne=Ds(e.dtype,t.dtype),se=new D4(k,S,[E,h,f],n,s,T,j,P,U),ae=[C,D];if(a!=null&&ae.push(a),P&&ae.push(o),U){let Q=r.makeTensorInfo([],"float32",w.createScalarValue(i,"float32"));ae.push(Q),O.push(Q)}X=r.runWebGLProgram(se,ae,ne)}let te=be({inputs:{x:X},backend:r,attrs:{shape:v}});O.push(X);for(let ne of O)r.disposeIntermediateTensorInfo(ne);return te}function IZ(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 A0({a:r,b:a,transposeA:l,transposeB:u,backend:n,bias:o,preluActivationWeights:i,leakyreluAlpha:d,activation:c})}var SZ={kernelName:Wo,backendName:"webgl",kernelFunc:IZ},M4="return abs(x);";function CZ(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=g4(a.values);return n.makeTensorInfo(s.shape,s.dtype,o)}let r;return Y().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Du(s.shape,M4):r=new Ea(s.shape,M4),n.runWebGLProgram(r,[s],s.dtype)}var TZ={kernelName:Gi,backendName:"webgl",kernelFunc:CZ},NZ=nr+`
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if (abs(x) > 1.) {
return NAN;
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}
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return acos(x);
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`,EZ=tt({opSnippet:NZ}),RZ={kernelName:ji,backendName:"webgl",kernelFunc:EZ},DZ=nr+`
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if (x < 1.0) return NAN;
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return log(x + sqrt(x * x - 1.0));`,_Z=tt({opSnippet:DZ}),$Z={kernelName:qi,backendName:"webgl",kernelFunc:_Z},z4="return a + b;",FZ=bn({opSnippet:z4,packedOpSnippet:z4,supportsComplex:!0,cpuKernelImpl:UX}),OZ={kernelName:aa,backendName:"webgl",kernelFunc:FZ},PZ=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=`
2021-09-11 16:29:31 +02:00
void main() {
${n.join(`
`)}
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2021-09-11 17:17:13 +02:00
float result = ${s};
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setOutput(result);
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}
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`}},MZ=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,a)=>`T${a}`);let n=[];this.variableNames.forEach(r=>{n.push(`vec4 v${r} = get${r}AtOutCoords();`)});let s=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=`
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void main() {
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${n.join(`
`)}
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vec4 result = ${s};
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setOutput(result);
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}
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`}};function y0(e){let{inputs:t,backend:n}=e,s=t;if(s.length===1)return cs({inputs:{x:s[0]},backend:n});if(s.length>Y().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let l=Math.floor(s.length/2),u=y0({inputs:s.slice(0,l),backend:n}),c=y0({inputs:s.slice(l),backend:n});return y0({inputs:[u,c],backend:n})}let r=s.map(l=>l.dtype).reduce((l,u)=>Ds(l,u)),a=s.map(l=>l.shape),i=Y().getBool("WEBGL_PACK")?new MZ(s[0].shape,a):new PZ(s[0].shape,a);return n.runWebGLProgram(i,s,r)}var zZ={kernelName:Ha,backendName:"webgl",kernelFunc:y0};function LZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=w.parseAxisParam(a,r.shape),u=l,c=_.getAxesPermutation(u,i),d=r;c!=null&&(d=Fn({inputs:{x:r},backend:n,attrs:{perm:c}}),u=_.getInnerMostAxes(u.length,i)),_.assertAxesAreInnerMostDims("all",u,i);let[p,h]=_.computeOutAndReduceShapes(d.shape,u),f=w.sizeFromShape(h),m=be({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),g=wi(m,m.dtype,"all",n),A;if(o){let y=_.expandShapeToKeepDim(p,l);A=be({inputs:{x:g},backend:n,attrs:{shape:y}})}else A=be({inputs:{x:g},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(g),c!=null&&n.disposeIntermediateTensorInfo(d),A}var BZ={kernelName:Xi,backendName:"webgl",kernelFunc:LZ};function WZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=w.parseAxisParam(a,r.shape),u=l,c=_.getAxesPermutation(u,i),d=r;c!=null&&(d=Fn({inputs:{x:r},backend:n,attrs:{perm:c}}),u=_.getInnerMostAxes(u.length,i)),_.assertAxesAreInnerMostDims("any",u,i);let[p,h]=_.computeOutAndReduceShapes(d.shape,u),f=w.sizeFromShape(h),m=be({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),g=wi(m,m.dtype,"any",n),A;if(o){let y=_.expandShapeToKeepDim(p,l);A=be({inputs:{x:g},backend:n,attrs:{shape:y}})}else A=be({inputs:{x:g},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(g),c!=null&&n.disposeIntermediateTensorInfo(d),A}var VZ={kernelName:Ki,backendName:"webgl",kernelFunc:WZ},UZ=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=`
2021-09-11 16:29:31 +02:00
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
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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};
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float candidate = getA(batch, inIdx);
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if (candidate ${o} bestValue) {
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bestValue = candidate;
bestIndex = inIdx;
}
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}
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setOutput(float(bestIndex));
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}
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`}},HZ=class{constructor(e,t,n,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,w.assert(e.length>2,()=>`Packed arg${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=yt(i),u=$n("coords",i),c,d;if(a===1){d=i+1;let S=yt(d);c=`
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${S} sourceLocR = ${S}(${u.join()}, 0);
++${u[i-1]};
${S} sourceLocG = ${S}(${u.join()}, 0);
++${u[i-2]};
${S} sourceLocA = ${S}(${u.join()}, 0);
--${u[i-1]};
${S} sourceLocB = ${S}(${u.join()}, 0);
--${u[i-2]};`}else d=i,c=`
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${l} sourceLocR = coords;
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++${u[i-1]};
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${l} sourceLocG = coords;
2021-09-11 17:17:13 +02:00
++${u[i-2]};
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${l} sourceLocA = coords;
2021-09-11 17:17:13 +02:00
--${u[i-1]};
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${l} sourceLocB = coords;
2021-09-27 19:58:13 +02:00
--${u[i-2]};`;let p=["x","y","z","w","u","v"].slice(0,d),h="."+p[d-1],f=p.map(S=>"int "+S),m=$n("sourceLocR",d-1).concat("inIdx.r"),g=$n("sourceLocG",d-1).concat("inIdx.g"),A=$n("sourceLocB",d-1).concat("inIdx.b"),y=$n("sourceLocA",d-1).concat("inIdx.a"),x=n==="max"?"greaterThan":"lessThan",b=s?"":`
2021-09-11 17:17:13 +02:00
inIdx = round(vec4(getBestIndicesAChannel(${m.join()}),
2021-09-11 16:29:31 +02:00
getBestIndicesAChannel(${g.join()}),
getBestIndicesAChannel(${A.join()}),
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getBestIndicesAChannel(${y.join()})));`,v=`vec4(
getAChannel(${m.join()}),
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hasNextCol ? getAChannel(${g.join()}) : 0.,
hasNextRow ? getAChannel(${A.join()}) : 0.,
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hasNextRow && hasNextCol ? getAChannel(${y.join()}) : 0.)`,k=s?"":`
float getBestIndicesAChannel(${f.join()}) {
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return getChannel(getBestIndicesA(${p.join()}),
vec2(${p.slice(-2).join()}));
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}`;this.userCode=`
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float getAChannel(${f.join()}) {
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return getChannel(getA(${p.join()}),
vec2(${p.slice(-2).join()}));
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}
${k}
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void main() {
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${l} coords = getOutputCoords();
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bool hasNextCol = ${u[i-1]} < ${o[i-1]-1};
bool hasNextRow = ${u[i-2]} < ${o[i-2]-1};
${c}
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ivec4 srcIdx = ivec4(sourceLocR${h}, sourceLocG${h},
sourceLocB${h}, sourceLocA${h}) * ${t};
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ivec4 inIdx = srcIdx;
vec4 bestIndex = vec4(inIdx);
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vec4 bestValue = ${v};
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for (int i = 0; i < ${t}; i++) {
inIdx = srcIdx;
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${b}
vec4 candidate = ${v};
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bvec4 nan = isnan(candidate);
bvec4 replace = bvec4(
vec4(${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++;
}
setOutput(bestIndex);
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}
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`}};function L4(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 UZ(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=L4(e,t,n,c);return e.disposeIntermediateTensorInfo(c),d}function B4(e,t,n,s=null){let r=s!=null?s.shape:t.shape,a=r[r.length-1],o=_.computeOptimalWindowSize(a),i=new HZ(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=B4(e,t,n,u);return e.disposeIntermediateTensorInfo(u),c}return u}function W4(e,t,n,s){let r=[n];if(_.assertAxesAreInnerMostDims("arg"+s.charAt(0).toUpperCase()+s.slice(1),r,t.shape.length),!Y().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let a=[],o=e.texData.get(t.dataId),i=o!==null&&o.isPacked,l=t;i&&(l=e.unpackTensor(t),a.push(l));let[u,c]=_.computeOutAndReduceShapes(l.shape,r),d=w.sizeFromShape(c),p=be({inputs:{x:l},backend:e,attrs:{shape:[-1,d]}});a.push(p);let h=L4(e,p,s);a.push(h);let f=be({inputs:{x:h},backend:e,attrs:{shape:u}});return a.forEach(m=>e.disposeIntermediateTensorInfo(m)),f}return B4(e,t,s)}function GZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a}=s,o=w.parseAxisParam(a,r.shape),i=_.getAxesPermutation(o,r.shape.length),l=r,u=[];i!=null&&(l=Fn({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=W4(n,l,o[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),c}var jZ={kernelName:Ga,backendName:"webgl",kernelFunc:GZ};function qZ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a}=s,o=w.parseAxisParam(a,r.shape),i=_.getAxesPermutation(o,r.shape.length),l=r,u=[];i!=null&&(l=Fn({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=W4(n,l,o[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),c}var XZ={kernelName:dc,backendName:"webgl",kernelFunc:qZ},KZ=nr+`
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if (abs(x) > 1.) {
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return NAN;
}
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return asin(x);
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`,ZZ=tt({opSnippet:KZ}),YZ={kernelName:Zi,backendName:"webgl",kernelFunc:ZZ},JZ=nr+"return log(x + sqrt(x * x + 1.0));",QZ=tt({opSnippet:JZ}),eY={kernelName:Yi,backendName:"webgl",kernelFunc:QZ},tY=nr+`
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return atan(x);
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`,nY=tt({opSnippet:tY}),sY={kernelName:Ji,backendName:"webgl",kernelFunc:nY},rY=dZ+`
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return atan(a, b);
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`,aY=`
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vec4 result = atan(a, b);
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+pZ+`
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return result;
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`,oY=bn({opSnippet:rY,packedOpSnippet:aY}),iY={kernelName:el,backendName:"webgl",kernelFunc:oY},lY=nr+`
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if ((x < -1.0) || (x > 1.0)) return NAN;
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return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,uY=tt({opSnippet:lY}),cY={kernelName:Qi,backendName:"webgl",kernelFunc:uY},$d=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,p=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let f=t==="avg",m=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,A="0.0";if(f||(A="-1.0 / 1e-20"),n){let S=">=";this.userCode=`
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const ivec2 strides = ivec2(${o}, ${i});
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const ivec2 pads = ivec2(${p}, ${h});
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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};
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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};
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wC += ${u}) {
int xC = xCCorner + wC;
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);
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if (value ${S} currMinMaxValue) {
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minMaxValue = value;
minMaxValueFound = 1.0;
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minMaxPosition = ${s?r?m:g:`wR * ${d} + wC`};
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}
}
}
setOutput(float(minMaxPosition));
}
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`;return}let y="max",x=`${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}) {
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avgValue += dot(values, ones);
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} else {
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minMaxValue = ${y}(values, minMaxValue);
}
`;this.userCode=`
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const ivec2 strides = ivec2(${o}, ${i});
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const ivec2 pads = ivec2(${p}, ${h});
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const float initializationValue = ${A};
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float count = 0.0;
float getValue(int batch, int xR, int xC, int d) {
if (xC < 0 || xC >= ${e.inWidth}) {
return initializationValue;
}
count += 1.0;
return getX(batch, xR, xC, d);
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}
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void main() {
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ivec4 coords = getOutputCoords();
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int batch = coords[0];
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int d = coords[3];
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ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4(${A});
float avgValue = 0.0;
count = 0.0;
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for (int wR = 0; wR < ${c};
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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 < ${b}; wC += 4) {
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int xC = xCCorner + wC * ${u};
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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}
}
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int xC = xCCorner + ${b};
if (${v===1}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
initializationValue,
initializationValue,
initializationValue
);
${k}
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} else if (${v===2}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${u}, d),
initializationValue,
initializationValue
);
${k}
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} else if (${v===3}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${u}, d),
getValue(batch, xR, xC + 2 * ${u}, d),
initializationValue
);
${k}
}
}
setOutput(${x});
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}
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`}},P2=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,p=e.effectiveFilterDepth,h=e.effectiveFilterHeight,f=e.effectiveFilterWidth,m=e.padInfo.front,g=e.padInfo.top,A=e.padInfo.left;this.outputShape=e.outShape;let y=t==="avg",x="0.0";if(y||(x="-1.0 / 1e-20"),n){let D=">=";this.userCode=`
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const ivec3 strides =
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ivec3(${o}, ${i}, ${l});
const ivec3 pads = ivec3(${m}, ${g}, ${A});
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0;
float minMaxValueFound = 0.0;
int minMaxPosition = 0;
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for (int wD = 0; wD < ${p};
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wD += ${u}) {
int xD = xDCorner + wD;
if (xD < 0 || xD >= ${e.inDepth}) {
continue;
}
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for (int wR = 0; wR < ${h};
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wR += ${c}) {
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int xR = xRCorner + wR;
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
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for (int wC = 0; wC < ${f};
wC += ${d}) {
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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);
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if (value ${D} currMinMaxValue) {
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minMaxValue = value;
minMaxValueFound = 1.0;
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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 * ${h} * ${f} +
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wR * ${f} + wC`};
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}
}
}
}
setOutput(float(minMaxPosition));
}
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`;return}let b="max",v=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(v="avgValue / count");let k=Math.floor(a/4)*4,S=a%4,C=`
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if (${y}) {
avgValue += dot(values, ones);
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} else {
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minMaxValue = ${b}(values, minMaxValue);
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}
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`;this.userCode=`
const ivec3 strides =
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ivec3(${o}, ${i}, ${l});
const ivec3 pads = ivec3(${m}, ${g}, ${A});
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const float initializationValue = ${x};
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
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float count = 0.0;
float getValue(int batch, int xD, int xR, int xC, int ch) {
if (xC < 0 || xC >= ${e.inWidth}) {
return initializationValue;
}
count += 1.0;
return getX(batch, xD, xR, xC, ch);
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}
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2021-09-01 00:24:30 +02:00
void main() {
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ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
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ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
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// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4(${x});
float avgValue = 0.0;
count = 0.0;
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2021-09-12 18:42:17 +02:00
for (int wD = 0; wD < ${p};
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wD += ${u}) {
int xD = xDCorner + wD;
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if (xD < 0 || xD >= ${e.inDepth}) {
continue;
}
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for (int wR = 0; wR < ${h};
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wR += ${c}) {
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int xR = xRCorner + wR;
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2021-09-11 16:29:31 +02:00
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
2021-09-01 00:24:30 +02:00
2021-09-11 16:29:31 +02:00
for (int wC = 0; wC < ${k}; wC += 4) {
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int xC = xCCorner + wC * ${d};
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2021-09-11 16:29:31 +02:00
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
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getValue(batch, xD, xR, xC + ${d}, ch),
getValue(batch, xD, xR, xC + 2 * ${d}, ch),
getValue(batch, xD, xR, xC + 3 * ${d}, ch)
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);
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2021-09-11 16:29:31 +02:00
${C}
}
2021-09-01 00:24:30 +02:00
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int xC = xCCorner + ${k};
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if (${S===1}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
initializationValue,
initializationValue,
initializationValue
);
${C}
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} else if (${S===2}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
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getValue(batch, xD, xR, xC + ${d}, ch),
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initializationValue,
initializationValue
);
${C}
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} else if (${S===3}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
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getValue(batch, xD, xR, xC + ${d}, ch),
getValue(batch, xD, xR, xC + 2 * ${d}, ch),
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initializationValue
);
${C}
}
}
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setOutput(${v});
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}
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}
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`}};function dY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t;Cu(r,"avgPool");let{filterSize:a,strides:o,pad:i,dimRoundingMode:l}=s,u=1;w.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&&w.arraysEqual(c.inShape,c.outShape))return cs({inputs:{x:r},backend:n});let d=new $d(c,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var pY={kernelName:ja,backendName:"webgl",kernelFunc:dY};function hY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{filterSize:a,strides:o,pad:i,dimRoundingMode:l,dataFormat:u}=s,c=[1,1,1],d=_.computePool3DInfo(r.shape,a,o,c,i,l,u),p=new P2(d,"avg",!1);return n.runWebGLProgram(p,[r],"float32")}var fY={kernelName:pc,backendName:"webgl",kernelFunc:hY},mY=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,r=e.strideWidth,a=e.dilationHeight,o=e.dilationWidth,i=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=i-1-e.padInfo.top,c=l-1-e.padInfo.left,d=1/(t*n);this.userCode=`
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const ivec2 pads = ivec2(${u}, ${c});
const float avgMultiplier = float(${d});
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void main() {
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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};
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wC+= ${o}) {
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float dyC = float(dyCCorner + wC) / ${r}.0;
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if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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float dyValue = getDy(b, idyR, idyC, d);
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dotProd += dyValue * avgMultiplier;
}
}
setOutput(dotProd);
}
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`}},gY=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,s=e.filterWidth,r=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,d=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=c-1-e.padInfo.front,f=d-1-e.padInfo.top,m=p-1-e.padInfo.left,g=1/(t*n*s);this.userCode=`
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const ivec3 pads = ivec3(${h}, ${f}, ${m});
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const float avgMultiplier = float(${g});
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
// Convolve dy(?, ?, ?, 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}) {
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float dyD = float(dyDCorner + wD) / ${r}.0;
if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
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continue;
}
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int idyD = int(dyD);
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for (int wR = 0; wR < ${d};
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wR += ${l}) {
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float dyR = float(dyRCorner + wR) / ${a}.0;
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if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
fract(dyR) > 0.0) {
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continue;
}
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int idyR = int(dyR);
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for (int wC = 0; wC < ${p};
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wC += ${u}) {
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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);
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float dyValue = getDy(batch, idyD, idyR, idyC, ch);
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dotProd += dyValue * avgMultiplier;
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}
}
}
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setOutput(dotProd);
}
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`}};function AY(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],p=_.computePool3DInfo(o.shape,i,l,d,u,c),h=new gY(p);return n.runWebGLProgram(h,[r],o.dtype)}var yY={kernelName:Dp,backendName:"webgl",kernelFunc:AY};function xY(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a}=t,o=a;Cu([r,a],"avgPoolGrad");let{filterSize:i,strides:l,pad:u}=s,c=_.computePool2DInfo(o.shape,i,l,1,u),d=new mY(c);return n.runWebGLProgram(d,[r],o.dtype)}var bY={kernelName:Rp,backendName:"webgl",kernelFunc:xY};function vY(e){let{inputs:t,backend:n,attrs:s}=e,{a:r,b:a}=t,{transposeA:o,transposeB:i}=s;return A0({a:r,b:a,transposeA:o,transposeB:i,backend:n})}var wY={kernelName:qa,backendName:"webgl",kernelFunc:vY},kY=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=`
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void main() {
float x = getXAtOutCoords();
float mean = getMeanAtOutCoords();
float variance = getVarianceAtOutCoords();
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float offset = ${o};
float scale = ${i};
float inv = scale * inversesqrt(variance + float(${a}));
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setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
}
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`}},IY=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=`
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void main() {
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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);
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}
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`}},SY=({inputs:e,backend:t,attrs:n})=>{let{x:s,mean:r,variance:a,offset:o,scale:i}=e;w.assert(r.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),w.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),w.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 p=Y().getBool("WEBGL_PACK_NORMALIZATION")?new IY(s.shape,r.shape,a.shape,c,d,l):new kY(s.shape,r.shape,a.shape,c,d,l);return t.runWebGLProgram(p,u,u[0].dtype)},CY={kernelName:io,backendName:"webgl",kernelFunc:SY},TY=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=yt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=NY(this.rank),s,r=e.map((a,o)=>`sourceLoc.${M2[o]} = start[${o}] + coords.${M2[o]};`);s=`
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${t} sourceLoc;
${t} coords = getOutputCoords();
${r.join(`
`)}
`,this.userCode=`
void main() {
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${s}
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setOutput(getSource(${n}));
}
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`}},M2=["x","y","z","w","u","v"];function NY(e){if(e===1)return"sourceLoc";if(e<=6)return M2.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var EY=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=yt(this.rank),n=$n("coords",this.rank),s=$n("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${s.slice(-2).join()})`,a=`getChannel(getSource(${s.join()}), ${r})`,o=`
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result.x = ${a};
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if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
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++${s[this.rank-1]};
result.y = ${a};
--${s[this.rank-1]};
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}
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`,i=this.rank===1?"":`
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--${n[this.rank-1]};
if (++${n[this.rank-2]} < ${e[this.rank-2]}) {
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++${s[this.rank-2]};
result.z = ${a};
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if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
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++${s[this.rank-1]};
result.w = ${a};
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}
}
`,l=this.rank<=4?`sourceLoc = coords +
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${t}(${e.map((u,c)=>`start[${c}]`).join()});`:e.map((u,c)=>`${s[c]} = ${n[c]} + start[${c}];`).join(`
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`);this.userCode=`
void main() {
${t} coords = getOutputCoords();
${t} sourceLoc;
${l}
vec4 result = vec4(0.);
${o}
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${i}
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setOutput(result);
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}
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`}};function RY(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=Nn.computeFlatOffset(t,w.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 Fu(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{begin:a,size:o}=s,[i,l]=Nn.parseSliceParams(r,a,o);if(Nn.assertParamsValid(r,i,l),w.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let d=n.texData.get(r.dataId),p=mK(d.values,i,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,p)}let{isPacked:u}=n.texData.get(r.dataId),c=Nn.isSliceContinous(r.shape,i,l);if(u||!c){let d=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new EY(l):new TY(l),p=[i];return n.runWebGLProgram(d,[r],r.dtype,p)}return n.uploadToGPU(r.dataId),RY(r,i,l,n)}var DY={kernelName:Fl,backendName:"webgl",kernelFunc:Fu},_Y=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{blockShape:a,crops:o}=s;w.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),p=_.getSliceSize(c,o,a.length),h=[],f=be({inputs:{x:r},backend:n,attrs:{shape:l}}),m=Fn({inputs:{x:f},backend:n,attrs:{perm:u}}),g=be({inputs:{x:m},backend:n,attrs:{shape:c}}),A=Fu({inputs:{x:g},backend:n,attrs:{begin:d,size:p}});return h.push(f),h.push(m),h.push(g),h.forEach(y=>n.disposeIntermediateTensorInfo(y)),A},$Y={kernelName:tl,backendName:"webgl",kernelFunc:_Y};function FY(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=m4(i,l,a.dtype,a.shape,o);return n.makeTensorInfo([o],a.dtype,u)}var OY={kernelName:_p,backendName:"webgl",kernelFunc:FY},PY="return float(a != b);",V4=bn({opSnippet:PY,cpuKernelImpl:cK,dtype:"bool"}),MY={kernelName:wl,backendName:"webgl",kernelFunc:V4};function Fd(e){let{inputs:t,backend:n}=e,{input:s}=t,r=n.texData.get(s.dataId);return cs({inputs:{x:r.complexTensorInfos.real},backend:n})}var zY={kernelName:eh,backendName:"webgl",kernelFunc:Fd},LY="return float(int(x));";function BY(e,t){let n=new Ea(e.shape,LY),s=t.runWebGLProgram(n,[e],"int32");return{dataId:s.dataId,shape:s.shape,dtype:s.dtype}}function z2(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{dtype:a}=s;if(a==="complex64"){if(r.dtype==="complex64")return cs({inputs:{x:r},backend:n});let o=Pt(r.shape),i=z2({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=Fd({inputs:{input:r},backend:n}),i=z2({inputs:{x:o},backend:n,attrs:{dtype:a}});return n.disposeIntermediateTensorInfo(o),i}if(!w.hasEncodingLoss(r.dtype,a)){let o=cs({inputs:{x:r},backend:n});return{dataId:o.dataId,shape:o.shape,dtype:a}}if(a==="int32")return BY(r,n);if(a==="bool"){let o=n.makeTensorInfo([],"bool",w.getTypedArrayFromDType("bool",1)),l=V4({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 WY={kernelName:Xa,backendName:"webgl",kernelFunc:z2},U4="return ceil(x);",VY=tt({opSnippet:U4,packedOpSnippet:U4,cpuKernelImpl:GX}),UY={kernelName:Ka,backendName:"webgl",kernelFunc:VY},HY=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() {
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float value = getAAtOutCoords();
if (isnan(value)) {
setOutput(value);
return;
}
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setOutput(clamp(value, minVal, maxVal));
}
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`}},GY=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() {
vec4 value = getAAtOutCoords();
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if (any(isnan(value))) {
setOutput(value);
return;
}
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setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
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}
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`}};function jY(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{clipValueMin:a,clipValueMax:o}=s,i;Y().getBool("WEBGL_PACK_CLIP")?i=new GY(r.shape):i=new HY(r.shape);let l=[[a],[o]];return n.runWebGLProgram(i,[r],r.dtype,l)}var qY={kernelName:oa,backendName:"webgl",kernelFunc:jY},XY=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=`
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void main() {
float re = abs(getRealAtOutCoords());
float im = abs(getImagAtOutCoords());
float mx = max(re, im);
// sadly the length function in glsl is not underflow-safe
// (at least not on Intel GPUs). So the safe solution is
// to ensure underflow-safety in all cases.
setOutput(
mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))
);
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}
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`}};function H4(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function KY(e){let{inputs:t,backend:n}=e,{x:s}=t,r=n.texData.get(s.dataId),a=new XY(s.shape),o=[H4(s,r.complexTensorInfos.real),H4(s,r.complexTensorInfos.imag)];return n.runWebGLProgram(a,o,o[0].dtype)}var ZY={kernelName:hc,backendName:"webgl",kernelFunc:KY},YY=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-${r}));`),this.userCode=`
2021-09-11 16:29:31 +02:00
void main() {
ivec2 coords = getOutputCoords();
int yR = coords.x;
int yC = coords.y;
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${n.join(`
`)}
}
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`}},JY=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=yt(s),a=$n("coords",s),o=["x","y","z","w","u","v"].slice(0,s);this.variableNames=e.map((f,m)=>`T${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} < ${i[0]}) {
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return getChannel(
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getT0(${c}), vec2(${u.join()}));
}`;for(let f=1;f<i.length;f++){let m=i[f-1];d+=`
if (${l} < ${i[f]} && ${l} >= ${i[f-1]}) {
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return getChannel(
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getT${f}(${x0(o,l,m)}),
vec2(${x0(u,l,m)}));
2021-09-12 18:42:17 +02:00
}`}let p=i.length,h=i[i.length-1];d+=`
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return getChannel(
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getT${p}(${x0(o,l,h)}),
vec2(${x0(u,l,h)}));`,this.userCode=`
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float getValue(${o.map(f=>"int "+f)}) {
${d}
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}
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void main() {
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${r} coords = getOutputCoords();
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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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}
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2021-09-11 17:17:13 +02:00
${a[s-2]} = ${a[s-2]} + 1;
if (${a[s-2]} < ${n[s-2]}) {
result.a = getValue(${a});
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}
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2021-09-11 17:17:13 +02:00
${a[s-1]} = ${a[s-1]} - 1;
if (${a[s-2]} < ${n[s-2]} &&
${a[s-1]} < ${n[s-1]}) {
result.b = getValue(${a});
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}
setOutput(result);
}
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`}};function x0(e,t,n){let s=e.indexOf(t);return e.map((a,o)=>o===s?`${a} - ${n}`:a).join()}function b0(e){let{inputs:t,backend:n}=e,{input:s}=t,r=n.texData.get(s.dataId);return cs({inputs:{x:r.complexTensorInfos.imag},backend:n})}var QY={kernelName:qp,backendName:"webgl",kernelFunc:b0};function Ou(e,t,n){let s=e[0].dtype;if(s==="complex64"){let c=e.map(m=>Fd({inputs:{input:m},backend:n})),d=e.map(m=>b0({inputs:{input:m},backend:n})),p=Ou(c,t,n),h=Ou(d,t,n),f=Ra({inputs:{real:p,imag:h},backend:n});return c.forEach(m=>n.disposeIntermediateTensorInfo(m)),d.forEach(m=>n.disposeIntermediateTensorInfo(m)),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}let r=n.shouldExecuteOnCPU(e);if(s==="string"&&(r=!0),r){let c=e.map(A=>{let y=w.sizeFromShape(A.shape.slice(t));return be({inputs:{x:A},backend:n,attrs:{shape:[-1,y]}})}),d=c.map(A=>({vals:n.readSync(A.dataId),shape:A.shape})),p=_.computeOutShape(c.map(A=>A.shape),1),h=c[0].shape[0]===1,f=jX(d,p,s,h),m=_.computeOutShape(e.map(A=>A.shape),t),g=n.makeTensorInfo(m,s,f);return c.forEach(A=>n.disposeIntermediateTensorInfo(A)),g}if(e.length>Y().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(e.length/2),d=Ou(e.slice(0,c),t,n),p=Ou(e.slice(c),t,n),h=Ou([d,p],t,n);return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p),h}if(Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){let c=new JY(e.map(d=>d.shape),t);return n.runWebGLProgram(c,e,s)}let{tensors2D:a,outShape:o}=eJ(e,t,n),i=new YY(a.map(c=>c.shape)),l=n.runWebGLProgram(i,a,s);a.forEach(c=>n.disposeIntermediateTensorInfo(c));let u=be({inputs:{x:l},attrs:{shape:o},backend:n});return n.disposeIntermediateTensorInfo(l),u}function eJ(e,t,n){let s=_.computeOutShape(e.map(a=>a.shape),t);return{tensors2D:e.map(a=>be({inputs:{x:a},attrs:{shape:[-1,w.sizeFromShape(a.shape.slice(t))]},backend:n})),outShape:s}}function G4(e){let{inputs:t,backend:n,attrs:s}=e,{axis:r}=s,a=w.parseAxisParam(r,t[0].shape)[0],o=_.computeOutShape(t.map(u=>u.shape),a);if(w.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let i=t.filter(u=>w.sizeFromShape(u.shape)>0);if(i.length===1)return cs({inputs:{x:i[0]},backend:n});let l=i.map(u=>u.shape);return _.assertParamsConsistent(l,a),Ou(i,a,n)}var tJ={kernelName:nl,backendName:"webgl",kernelFunc:G4},j4=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,p=e.filterWidth,h=Math.floor(e.inChannels/4)*4,f=e.inChannels%4,m=e.dataFormat==="channelsLast",g=m?1:2,A=m?2:3,y=m?3:1,x="",b="";n&&(s?x=`float activation(float a) {
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float b = getPreluActivationWeightsAtOutCoords();
${n}
}`:r?x=`float activation(float a) {
float b = getLeakyreluAlphaAtOutCoords();
${n}
}`:x=`
float activation(float x) {
${n}
}
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`,b="result = activation(result);");let v=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
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${x}
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const ivec2 strides = ivec2(${i}, ${l});
const ivec2 pads = ivec2(${a}, ${o});
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void main() {
ivec4 coords = getOutputCoords();
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int batch = coords[0];
int d2 = coords[${y}];
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ivec2 xRCCorner =
ivec2(coords[${g}], coords[${A}]) * 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;
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for (int wR = 0; wR < ${d}; wR++) {
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int xR = xRCorner + wR * ${u};
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if (xR < 0 || xR >= ${e.inHeight}) {
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continue;
}
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for (int wC = 0; wC < ${p}; wC++) {
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int xC = xCCorner + wC * ${c};
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if (xC < 0 || xC >= ${e.inWidth}) {
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continue;
}
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for (int d1 = 0; d1 < ${h}; d1 += 4) {
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vec4 wValues = vec4(
getW(wR, wC, d1, d2),
getW(wR, wC, d1 + 1, d2),
getW(wR, wC, d1 + 2, d2),
getW(wR, wC, d1 + 3, d2)
);
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if (${m}) {
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vec4 xValues = vec4(
getX(batch, xR, xC, d1),
getX(batch, xR, xC, d1 + 1),
getX(batch, xR, xC, d1 + 2),
getX(batch, xR, xC, d1 + 3)
);
dotProd += dot(xValues, wValues);
} else {
vec4 xValues = vec4(
getX(batch, d1, xR, xC),
getX(batch, d1 + 1, xR, xC),
getX(batch, d1 + 2, xR, xC),
getX(batch, d1 + 3, xR, xC)
);
dotProd += dot(xValues, wValues);
}
}
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if (${f===1}) {
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if (${m}) {
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dotProd +=
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getX(batch, xR, xC, ${h}) *
getW(wR, wC, ${h}, d2);
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} else {
dotProd +=
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getX(batch, ${h}, xR, xC) *
getW(wR, wC, ${h}, d2);
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}
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} else if (${f===2}) {
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vec2 wValues = vec2(
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getW(wR, wC, ${h}, d2),
getW(wR, wC, ${h} + 1, d2)
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);
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if (${m}) {
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vec2 xValues = vec2(
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getX(batch, xR, xC, ${h}),
getX(batch, xR, xC, ${h} + 1)
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);
dotProd += dot(xValues, wValues);
} else {
vec2 xValues = vec2(
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getX(batch, ${h}, xR, xC),
getX(batch, ${h} + 1, xR, xC)
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);
dotProd += dot(xValues, wValues);
}
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} else if (${f===3}) {
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vec3 wValues = vec3(
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getW(wR, wC, ${h}, d2),
getW(wR, wC, ${h} + 1, d2),
getW(wR, wC, ${h} + 2, d2)
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);
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if (${m}) {
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vec3 xValues = vec3(
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getX(batch, xR, xC, ${h}),
getX(batch, xR, xC, ${h} + 1),
getX(batch, xR, xC, ${h} + 2)
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);
dotProd += dot(xValues, wValues);
} else {
vec3 xValues = vec3(
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getX(batch, ${h}, xR, xC),
getX(batch, ${h} + 1, xR, xC),
getX(batch, ${h} + 2, xR, xC)
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);
dotProd += dot(xValues, wValues);
}
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}
}
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}
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float result = dotProd;
${v}
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${b}
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setOutput(result);
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}
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`}},nJ=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,p=e.filterWidth,h=Math.floor(e.inChannels/4)*4,f=e.inChannels%4;this.userCode=`
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const ivec3 strides = ivec3(${r}, ${a}, ${o});
const ivec3 pads = ivec3(${t}, ${n}, ${s});
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void main() {
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ivec5 coords = getOutputCoords();
int batch = coords.x;
int d2 = coords.u;
ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xFCorner = xFRCCorner.x;
int xRCorner = xFRCCorner.y;
int xCCorner = xFRCCorner.z;
// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
float dotProd = 0.0;
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for (int wF = 0; wF < ${c}; wF++) {
int xF = xFCorner + wF * ${i};
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if (xF < 0 || xF >= ${e.inDepth}) {
continue;
}
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for (int wR = 0; wR < ${d}; wR++) {
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int xR = xRCorner + wR * ${l};
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
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for (int wC = 0; wC < ${p}; wC++) {
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int xC = xCCorner + wC * ${u};
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
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for (int d1 = 0; d1 < ${h}; d1 += 4) {
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vec4 xValues = vec4(
getX(batch, xF, xR, xC, d1),
getX(batch, xF, xR, xC, d1 + 1),
getX(batch, xF, xR, xC, d1 + 2),
getX(batch, xF, xR, xC, d1 + 3)
);
vec4 wValues = vec4(
getW(wF, wR, wC, d1, d2),
getW(wF, wR, wC, d1 + 1, d2),
getW(wF, wR, wC, d1 + 2, d2),
getW(wF, wR, wC, d1 + 3, d2)
);
dotProd += dot(xValues, wValues);
}
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if (${f===1}) {
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dotProd +=
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getX(batch, xF, xR, xC, ${h}) *
getW(wF, wR, wC, ${h}, d2);
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} else if (${f===2}) {
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vec2 xValues = vec2(
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getX(batch, xF, xR, xC, ${h}),
getX(batch, xF, xR, xC, ${h} + 1)
2021-09-11 16:29:31 +02:00
);
vec2 wValues = vec2(
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getW(wF, wR, wC, ${h}, d2),
getW(wF, wR, wC, ${h} + 1, d2)
2021-09-11 16:29:31 +02:00
);
dotProd += dot(xValues, wValues);
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} else if (${f===3}) {
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vec3 xValues = vec3(
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getX(batch, xF, xR, xC, ${h}),
getX(batch, xF, xR, xC, ${h} + 1),
getX(batch, xF, xR, xC, ${h} + 2)
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);
vec3 wValues = vec3(
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getW(wF, wR, wC, ${h}, d2),
getW(wF, wR, wC, ${h} + 1, d2),
getW(wF, wR, wC, ${h} + 2, d2)
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);
dotProd += dot(xValues, wValues);
}
}
}
}
setOutput(dotProd);
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}
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`}},sJ=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=e,this.enableShapeUniforms=Is(this.outputShape.length);let{dataFormat:n}=t,s=_n(),r=n==="channelsLast",a=r?0:1,o=r?1:2,i=this.enableShapeUniforms?"if(blockIndex < outShape[1] && pos < outShape[0]) {":`if(blockIndex < ${e[1]} && pos < ${e[0]}) {`,l="";for(let u=0;u<=1;u++)for(let c=0;c<=1;c++)l+=`
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blockIndex = rc.y + ${c};
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pos = rc.x + ${u};
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2021-09-11 17:17:13 +02:00
${i}
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offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];
d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);
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2021-09-11 17:17:13 +02:00
if(d0 < inputShape[${a}] && d0 >= 0) {
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// Use custom imod instead mod. On Intel GPU, mod may generate
// unexpected value.
// https://github.com/tensorflow/tfjs/issues/5447
offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];
d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /
inChannels);
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2021-09-11 17:17:13 +02:00
if(d1 < inputShape[${o}] && d1 >= 0) {
2021-09-01 00:24:30 +02:00
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ch = imod(pos, inChannels);
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2021-09-11 16:29:31 +02:00
if (${r}) {
innerDims = vec2(d1, ch);
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result[${u*2+c}] = getChannel(
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getA(d0, int(innerDims.x),
int(innerDims.y)), innerDims);
} else {
innerDims = vec2(d0, d1);
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result[${u*2+c}] = getChannel(
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getA(ch, int(innerDims.x),
int(innerDims.y)), innerDims);
}
}
}
}
`;this.userCode=`
void main() {
ivec2 rc = getOutputCoords();
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vec4 result = vec4(0);
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2021-09-11 16:29:31 +02:00
int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
vec2 innerDims;
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${l}
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${s.output} = result;
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}
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`}};function q4({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],p=n.outChannels,h=n.dataFormat==="channelsLast",f=!1,m=!1,g,A=[];if(!((d===1||p===1)&&c>P4)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!=0&&w.arraysEqual(u.shape.slice(-3),l.slice(-3))){let b=l[0]*l[1]*(l[2]+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]++,w.assert(Rd(u.shape,v.shape),()=>`packed reshape ${u.shape} to ${v.shape} isn't free`);let S=be({inputs:{x:t},backend:s,attrs:{shape:[1,n.inChannels,n.outChannels]}});A.push(S);let C=A0({a:v,b:S,backend:s,transposeA:f,transposeB:m,bias:r,activation:i,preluActivationWeights:a,leakyreluAlpha:o}),D=s.texData.get(C.dataId);w.assert(D.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=k,D.shape=n.outShape,g=cs({inputs:{x:C},backend:s}),g.shape=n.outShape,A.push(C)}else{let b=h?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],v=be({inputs:{x:e},backend:s,attrs:{shape:[1,b,n.inChannels]}}),k=be({inputs:{x:t},backend:s,attrs:{shape:[1,n.inChannels,n.outChannels]}}),S=A0({a:v,b:k,transposeA:f,transposeB:m,backend:s,bias:r,activation:i,preluActivationWeights:a,leakyreluAlpha:o});g=be({inputs:{x:S},backend:s,attrs:{shape:n.outShape}}),A.push(v),A.push(k),A.push(S)}for(let b of A)s.disposeIntermediateTensorInfo(b);return g}function X4({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:p,dataFormat:h}=n,f=h==="channelsLast",m=l*u*c,g=p*d,A=[m,g],y=!0,x=!1,b=[],v=be({inputs:{x:e},backend:s,attrs:{shape:e.shape.slice(1)}}),k=be({inputs:{x:t},backend:s,attrs:{shape:[1,m,w.sizeFromShape(t.shape)/m]}});b.push(v),b.push(k);let S=new sJ(A,n),C=[v.shape,[n.padInfo.top,n.padInfo.left],[n.strideHeight,n.strideWidth],[n.dilationHeight,n.dilationWidth],[n.inChannels],[n.filterWidth*n.inChannels],[n.outWidth]],D=s.runWebGLProgram(S,[v],"float32",C),O=be({inputs:{x:D},backend:s,attrs:{shape:[1,A[0],A[1]]}});b.push(D),b.push(O);let E=r!=null,R=a!=null,T=i==="leakyrelu",P=i?f0(i,!0):null,U=new D4(O.shape,k.shape,[1,g,n.outChannels],y,x,E,P,R,T),j=[O,k];if(r&&j.push(r),R&&j.push(a),T){let ne=s.makeTensorInfo([],"float32",w.createScalarValue(o,"float32"));j.push(ne),b.push(ne)}let q=s.runWebGLProgram(U,j,"float32"),X=f?[1,p,d,n.outChannels]:[1,n.outChannels,p,d],te=be({inputs:{x:q},backend:s,attrs:{shape:X}});b.push(q);for(let ne of b)s.disposeIntermediateTensorInfo(ne);return te}function rJ(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),p=_.computeConv2DInfo(r.shape,a.shape,o,u,i,c,!1,d),h;if(p.filterHeight===1&&p.filterWidth===1&&p.dilationHeight===1&&p.dilationWidth===1&&p.strideHeight===1&&p.strideWidth===1&&(p.padInfo.type==="SAME"||p.padInfo.type==="VALID"))h=q4({x:r,filter:a,convInfo:p,backend:n});else if(Y().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)h=X4({x:r,filter:a,convInfo:p,backend:n});else{let m=new j4(p);h=n.runWebGLProgram(m,[r,a],"float32")}let f=be({inputs:{x:h},backend:n,attrs:{shape:p.outShape}});return n.disposeIntermediateTensorInfo(h),f}var aJ={kernelName:Za,backendName:"webgl",kernelFunc:rJ},oJ=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();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int d2 = coords.w;
// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int b = 0; b < ${e.batchSize}; b++) {
for (int yR = 0; yR < ${e.outHeight}; yR++) {
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int xR = wR + yR * ${t} - ${s};
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${r};
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
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if (${a}) {
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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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} else {
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float dyValue = getDy(b, d2, yR, yC);
float xValue = getX(b, d1, xR, xC);
dotProd += (xValue * dyValue);
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}
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}
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}
}
setOutput(dotProd);
}
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`}},iJ=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=`
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const ivec2 pads = ivec2(${o}, ${i});
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void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
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int d1 = coords[${c}];
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ivec2 dyCorner = ivec2(coords[${l}], coords[${u}]) - pads;
int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < ${t}; wR++) {
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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);
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;
for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
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if (${a}) {
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float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
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} else {
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float xValue = getDy(batch, d2, idyR, idyC);
float wValue = getW(wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
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}
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}
}
}
setOutput(dotProd);
}
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`}},lJ=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=`
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void main() {
ivec5 coords = getOutputCoords();
int wF = coords.x;
int wR = coords.y;
int wC = coords.z;
int d1 = coords.w;
int d2 = coords.u;
float dotProd = 0.0;
for (int b = 0; b < ${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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}
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for (int yR = 0; yR < ${e.outHeight}; yR++) {
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int xR = wR + yR * ${n} - ${a};
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
for (int yC = 0; yC < ${e.outWidth}; yC++) {
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int xC = wC + yC * ${s} - ${o};
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if (xC < 0 || xC >= ${e.inWidth}) {
continue;
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}
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float dyValue = getDy(b, yF, yR, yC, d2);
float xValue = getX(b, xF, xR, xC, d1);
dotProd += (xValue * dyValue);
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}
}
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}
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}
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setOutput(dotProd);
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}
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`}},uJ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,s=e.filterWidth,r=e.strideDepth,a=e.strideHeight,o=e.strideWidth,i=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=s-1-e.padInfo.left;this.userCode=`
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const ivec3 pads = ivec3(${i}, ${l}, ${u});
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int d1 = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyFCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
float dotProd = 0.0;
for (int wF = 0; wF < ${t}; wF++) {
float dyF = float(dyFCorner + wF) / ${r}.0;
if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {
continue;
}
int idyF = int(dyF);
int wFPerm = ${t} - 1 - wF;
for (int wR = 0; wR < ${n}; wR++) {
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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);
int wRPerm = ${n} - 1 - wR;
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for (int wC = 0; wC < ${s}; wC++) {
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);
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int wCPerm = ${s} - 1 - wC;
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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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}
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`}};function cJ(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),p=_.computeConv2DInfo(r.shape,c,o,1,i,u,!1,d),h=new oJ(p);return n.runWebGLProgram(h,[r,a],"float32")}var dJ={kernelName:Fp,backendName:"webgl",kernelFunc:cJ};function pJ(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),p=_.computeConv2DInfo(o,a.shape,i,1,l,c,!1,d),h=new iJ(p);return n.runWebGLProgram(h,[r,a],"float32")}var hJ={kernelName:Ya,backendName:"webgl",kernelFunc:pJ};function fJ(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 nJ(u);return n.runWebGLProgram(c,[r,a],"float32")}var mJ={kernelName:fc,backendName:"webgl",kernelFunc:fJ};function gJ(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 lJ(u);return n.runWebGLProgram(c,[r,a],"float32")}var AJ={kernelName:Op,backendName:"webgl",kernelFunc:gJ};function yJ(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 uJ(u);return n.runWebGLProgram(c,[r,a],"float32")}var xJ={kernelName:Pp,backendName:"webgl",kernelFunc:yJ},bJ=R4+`
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return cos(x);
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`,vJ=tt({opSnippet:bJ}),wJ={kernelName:Ja,backendName:"webgl",kernelFunc:vJ},kJ=`
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float e2x = exp(-x);
return (e2x + 1.0 / e2x) / 2.0;
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`,IJ=tt({opSnippet:kJ}),SJ={kernelName:Qa,backendName:"webgl",kernelFunc:IJ},CJ=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 p=s==="bilinear"?1:0,[h,f]=[`${o-1}.0`,`${i-1}.0`],[m,g,A]=c>1?[`${(o-1)/(c-1)}`,"(y2-y1) * height_ratio",`y1*${h} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${h}`],[y,x,b]=d>1?[`${(i-1)/(d-1)}`,"(x2-x1) * width_ratio",`x1*${f} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${f}`];this.userCode=`
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const float height_ratio = float(${m});
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const float width_ratio = float(${y});
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int y = coords[1];
int x = coords[2];
int d = coords[3];
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// get box vals
float y1 = getBoxes(b,0);
float x1 = getBoxes(b,1);
float y2 = getBoxes(b,2);
float x2 = getBoxes(b,3);
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// get image in batch index
int bInd = round(getBoxInd(b));
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if(bInd < 0 || bInd >= ${a}) {
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return;
}
float height_scale = ${g};
float width_scale = ${x};
float in_y = ${A};
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if( in_y < 0.0 || in_y > ${h} ) {
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setOutput(float(${r}));
return;
}
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float in_x = ${b};
if( in_x < 0.0 || in_x > ${f} ) {
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setOutput(float(${r}));
return;
}
vec2 sourceFracIndexCR = vec2(in_x,in_y);
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if(${p} == 1) {
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// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);
ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));
float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);
float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);
float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);
float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);
vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);
float top = topLeft + (topRight - topLeft) * fracCR.x;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;
float newValue = top + (bottom - top) * fracCR.y;
setOutput(newValue);
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2(floor(
sourceFracIndexCR + vec2(0.5,0.5)));
float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);
setOutput(newValue);
}
}
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`}},TJ=e=>{let{inputs:t,backend:n,attrs:s}=e,{image:r,boxes:a,boxInd:o}=t,{cropSize:i,method:l,extrapolationValue:u}=s,c=new CJ(r.shape,a.shape,i,l,u);return n.runWebGLProgram(c,[r,a,o],"float32")},NJ={kernelName:sl,backendName:"webgl",kernelFunc:TJ},K4=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}],this.outputShape=e;let s=e.length,r=t?"0.0":`getX(${Z4(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 < ${a}`:"end >= pow2",i=n?"end + pow2":"end - pow2"),this.userCode=`
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void main() {
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${yt(s)} coords = getOutputCoords();
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int end = ${Y4(s,"coords")};
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float val = ${r};
int pow2 = int(pow(2.0, index));
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if (${o}) {
int idx = ${i};
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${Y4(s,"coords")} = idx;
val += getX(${Z4(s,"coords")});
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}
setOutput(val);
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}
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`}};function Z4(e,t){if(e===1)return`${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 ${e} is not yet supported`)}function Y4(e,t){if(e===1)return`${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 ${e} is not yet supported`)}function EJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,exclusive:o,reverse:i}=s,l=r.shape.length,u=_.getAxesPermutation([a],l),c=r;u!=null&&(c=Fn({inputs:{x:r},backend:n,attrs:{perm:u}}));let d=_.getInnerMostAxes(1,l)[0];if(d!==l-1)throw new Error(`WebGL cumsum shader expects an inner-most axis=${r.shape.length-1} but got axis=${a}`);let p=c.shape[d],h=cs({inputs:{x:c},backend:n});for(let f=0;f<=Math.ceil(Math.log2(p))-1;f++){let m=new K4(c.shape,!1,i),g=[[f]],A=h;h=n.runWebGLProgram(m,[h],h.dtype,g),n.disposeIntermediateTensorInfo(A)}if(o){let f=new K4(c.shape,o,i),m=h;h=n.runWebGLProgram(f,[h],h.dtype),n.disposeIntermediateTensorInfo(m)}if(u!=null){let f=_.getUndoAxesPermutation(u),m=Fn({inputs:{x:h},backend:n,attrs:{perm:f}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(c),m}return h}var RJ={kernelName:eo,backendName:"webgl",kernelFunc:EJ};function DJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,weights:a}=t,{size:o,binaryOutput:i}=s;if(r.shape.length===1){let l=n.readSync(r.dataId),u=n.readSync(a.dataId),c=m4(l,u,a.dtype,a.shape,o);return n.makeTensorInfo([o],a.dtype,c)}else if(r.shape.length===2){let l=n.bufferSync(r),u=n.bufferSync(a),c=HX(l,u,o,i);return n.makeTensorInfo(c.shape,a.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var _J={kernelName:Mp,backendName:"webgl",kernelFunc:DJ},$J=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int h = ${this.getHeightCoordString()};
int w = ${this.getWidthCoordString()};
int d = ${this.getDepthCoordString()};
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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`}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 FJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{blockSize:a,dataFormat:o}=s;w.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,p=u*a,h=c/(a*a),f=o==="NHWC"?[i,d,p,h]:[i,h,d,p],m=new $J(f,a,o);return n.runWebGLProgram(m,[r],r.dtype)}var OJ={kernelName:rl,backendName:"webgl",kernelFunc:FJ},J4=class{constructor(e,t=!1,n=null,s=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Is(this.outputShape.length);let a=e.filterHeight,o=e.filterWidth,i=e.outChannels/e.inChannels,l="",u="";n&&(s?l=`float activation(float a) {
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float b = getPreluActivationWeightsAtOutCoords();
${n}
}`:r?l=`float activation(float a) {
float b = getLeakyreluAlphaAtOutCoords();
${n}
}`:l=`
float activation(float x) {
${n}
}
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`,u="result = activation(result);");let c=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
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${l}
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void main() {
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ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
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int d1 = d2 / ${i};
int q = d2 - d1 * ${i};
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int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
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// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
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for (int wR = 0; wR < ${a}; wR++) {
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int xR = xRCorner + wR * dilations[0];
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if (xR < 0 || xR >= inDims[0]) {
continue;
}
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for (int wC = 0; wC < ${o}; wC++) {
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int xC = xCCorner + wC * dilations[1];
if (xC < 0 || xC >= inDims[1]) {
continue;
}
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float xVal = getX(batch, xR, xC, d1);
float wVal = getW(wR, wC, d1, q);
dotProd += xVal * wVal;
}
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}
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float result = dotProd;
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${c}
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${u}
setOutput(result);
}
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`}},Q4=class{constructor(e,t=!1,n=null,s=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=Is(this.outputShape.length);let a=e.outChannels/e.inChannels,o=e.padInfo.left,i=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,c=e.filterWidth,d=c,p=`
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int xR; int xC; int xCOffset;
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vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g<c;g++)p+=`
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vec4 xTexelC${g*2};
int xTexelC${g*2}Ready;
vec4 xTexelC${g*2+1};
int xTexelC${g*2+1}Ready;
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vec4 xC${g};`;for(let g=0;g<u;g++){for(let A=0;A<c;A++)p+=`
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xTexelC${A*2} = vec4(0.0);
xTexelC${A*2}Ready = 0;
xTexelC${A*2+1} = vec4(0.0);
xTexelC${A*2+1}Ready = 0;
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xC${A} = vec4(0.0);`;p+=`
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xR = xRCorner + ${g} * dilations[0];
if (xR >=0 && xR < inDims[0]) {
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`;for(let A=0;A<(d+1)/2;A++){let y=A*2;if(p+=`
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xC = xCCorner + ${y*l};
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`,i===1){if(y<c&&(o%2==1?(p+=`
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xCOffset = xC + 1;
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y}Ready == 0) {
xTexelC${y} = getX(batch, xR, xCOffset, d1);
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y}.zw = vec2(0.0);
}
xTexelC${y}Ready = 1;
}
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`,l===1&&y>0?p+=`
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xC${y} = vec4(xTexelC${y-2}.zw, xTexelC${y}.xy);
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`:p+=`
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xCOffset = xC + 1 - 2;
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if (xCOffset >= 0 && xCOffset < inDims[1]) {
previous = getX(batch, xR, xCOffset, d1);
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
previous.zw = vec2(0.0);
}
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xC${y} = vec4(previous.zw, xTexelC${y}.xy);
} else {
xC${y} = vec4(0.0, 0.0, xTexelC${y}.xy);
}
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`):p+=`
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if (xC >= 0 && xC < inDims[1] && xTexelC${y}Ready == 0) {
xTexelC${y} = getX(batch, xR, xC, d1);
if (xC + 1 >= inDims[1]) {
xTexelC${y}.zw = vec2(0.0);
}
xTexelC${y}Ready = 1;
}
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xC${y} = xTexelC${y};
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`,y+1<c)){let x=o%2==0?w.nearestLargerEven(l):l;l%2==0&&o%2==1||l%2!=0&&o%2!=1?(p+=`
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xCOffset = xC + imod(pads[1], 2) + ${x};
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if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y+1}Ready == 0) {
xTexelC${y+1} = getX(batch, xR, xCOffset, d1);
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y+1}.zw = vec2(0.0);
}
xTexelC${y+1}Ready = 1;
}
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`,l>1&&(p+=`
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xCOffset -= 2;
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y}Ready == 0) {
xTexelC${y} = getX(batch, xR, xCOffset, d1);
xTexelC${y}Ready = 1;
}
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`),p+=`
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xC${y+1} = vec4(xTexelC${y}.zw, xTexelC${y+1}.xy);
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`):x===1?p+=`
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xC${y+1} = xTexelC${y};
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`:p+=`
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xCOffset = xC + ${x};
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y+1}Ready == 0) {
xTexelC${y+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y+1}.zw = vec2(0.0);
}
xTexelC${y+1}Ready = 1;
}
xC${y+1} = xTexelC${y+1};
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`}}else y<c&&(o%2==1?(p+=`
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xCOffset = xC + 1 - strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y}Ready == 0) {
xTexelC${y} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y}.zw = vec2(0.0);
}
xTexelC${y}Ready = 1;
}
if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${y+1}Ready == 0) {
xTexelC${y+1} = getX(batch, xR, xC + 1, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xC + 2 >= inDims[1]) {
xTexelC${y+1}.zw = vec2(0.0);
}
xTexelC${y+1}Ready = 1;
}
xC${y} = vec4(xTexelC${y}.zw, xTexelC${y+1}.zw);
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`,y+1<c&&(p+=`
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final = vec4(0.0);
xCOffset = xC + 1 + strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1]) {
final = getX(batch, xR, xCOffset, d1);
}
xC${y+1} = vec4(xTexelC${y+1}.xy, final.xy);
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`)):(p+=`
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if(xC >= 0 && xC < inDims[1] && xTexelC${y}Ready == 0) {
xTexelC${y} = getX(batch, xR, xC, d1);
if (xC + 1 >= inDims[1]) {
xTexelC${y}.zw = vec2(0.0);
}
xTexelC${y}Ready = 1;
}
xCOffset = xC + strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y+1}Ready == 0) {
xTexelC${y+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y+1}.zw = vec2(0.);
}
xTexelC${y+1}Ready = 1;
}
xC${y} = vec4(
xTexelC${y}.xy, xTexelC${y+1}.xy);
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`,y+1<c&&(p+=`
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xC${y+1} = vec4(xTexelC${y}.zw, xTexelC${y+1}.zw);
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`)));y<c&&(p+=`
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wTexel = getW(${g}, ${y}, d1, q);
dotProd += xC${y} * vec4(wTexel.xz, wTexel.xz);
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`,y+1<c&&(p+=`
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wTexel = getW(${g}, ${y+1}, d1, q);
dotProd += xC${y+1} * vec4(wTexel.xz, wTexel.xz);
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`))}p+=`
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}
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`}let h="",f="";n&&(s?h=`vec4 activation(vec4 a) {
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vec4 b = getPreluActivationWeightsAtOutCoords();
${n}
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}`:r?h=`vec4 activation(vec4 a) {
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vec4 b = getLeakyreluAlphaAtOutCoords();
${n}
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}`:h=`vec4 activation(vec4 x) {
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${n}
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}`,f="result = activation(result);");let m=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
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${h}
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void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
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int d1 = d2 / ${a};
int q = d2 - d1 * ${a};
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int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
//intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.
vec4 dotProd = vec4(0.000000000000001);
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${p}
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vec4 result = dotProd - vec4(0.000000000000001);
${m}
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${f}
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setOutput(result);
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}
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`}};function PJ(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]),w.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),p;Y().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels==1?p=new Q4(d):p=new J4(d);let h=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];return n.runWebGLProgram(p,[r,a],"float32",h)}var MJ={kernelName:to,backendName:"webgl",kernelFunc:PJ},zJ=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=`
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void main() {
ivec4 coords = getOutputCoords();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int dm = coords.w;
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int d2 = d1 * ${a} + dm;
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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++) {
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int xR = wR + yR * ${t} - ${s};
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if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${r};
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
}
}
}
setOutput(dotProd);
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}
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`}},LJ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,r=e.strideWidth,a=t-1-e.padInfo.top,o=n-1-e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode=`
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const ivec2 pads = ivec2(${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;
float dotProd = 0.0;
for (int wR = 0; wR < ${t}; wR++) {
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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);
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
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for (int dm = 0; dm < ${i}; dm++) {
int d2 = d1 * ${i} + dm;
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float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, dm);
dotProd += xValue * wValue;
}
}
}
setOutput(dotProd);
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}
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`}};function BJ(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,dy:a}=t,{strides:o,dilations:i,pad:l,dimRoundingMode:u,filterShape:c}=s,d=_.computeConv2DInfo(r.shape,c,o,i,l,u,!0),p=new zJ(d);return n.runWebGLProgram(p,[r,a],"float32")}var WJ={kernelName:zp,backendName:"webgl",kernelFunc:BJ};function VJ(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,filter:a}=t,{strides:o,dilations:i,pad:l,dimRoundingMode:u,inputShape:c}=s,d=_.computeConv2DInfo(c,a.shape,o,i,l,u,!0),p=new LJ(d);return n.runWebGLProgram(p,[r,a],"float32")}var UJ={kernelName:Lp,backendName:"webgl",kernelFunc:VJ},HJ=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
setOutput(val);
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}
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`}};function GJ(e){let{inputs:t,backend:n}=e,{x:s}=t,r=[...s.shape,...s.shape],a=w.sizeFromShape(s.shape),o=be({inputs:{x:s},backend:n,attrs:{shape:[a]}}),i=new HJ(a),l=n.runWebGLProgram(i,[o],o.dtype),u=be({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(l),u}var jJ={kernelName:Bp,backendName:"webgl",kernelFunc:GJ},qJ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:s,strideHeight:r,strideWidth:a,filterHeight:o,filterWidth:i,dilationHeight:l,dilationWidth:u}=e,{top:c,left:d}=s;this.userCode=`
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const ivec2 strides = ivec2(${r}, ${a});
const ivec2 pads = ivec2(${c}, ${d});
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const float neg_infinity = -3.4e38;
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
int d1 = coords.w;
ivec2 outTopLeftCorner =
coords.yz * strides - pads;
int hBeg = outTopLeftCorner.x;
int wBeg = outTopLeftCorner.y;
float curVal = neg_infinity;
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for (int h = 0; h < ${o}; h++) {
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int hIn = hBeg + h * ${l};
if (hIn >= 0 && hIn < ${t}) {
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for (int w = 0; w < ${i}; w++) {
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int wIn = wBeg + w * ${u};
if (wIn >= 0 && wIn < ${n}) {
float xVal = getX(batch, hIn, wIn, d1);
float wVal = getW(h, w, d1);
float val = xVal + wVal;
if (val > curVal) {
curVal = val;
}
}
}
}
}
float result = curVal;
setOutput(result);
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}
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`}};function XJ(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 qJ(u);c=n.runWebGLProgram(d,[r,a],"float32");let p=be({inputs:{x:c},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(c),p}var KJ={kernelName:mc,backendName:"webgl",kernelFunc:XJ};function ZJ(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,p=null,h=o.length,f=[];for(let m=0;m<d;++m){for(let g of c[m]){let{permutationIndices:A,expandDims:y}=_.getEinsumPermutation(h,l[g]),x;_.isIdentityPermutation(A)?x=a[g]:(x=Fn({inputs:{x:a[g]},backend:n,attrs:{perm:A}}),f.push(x));let b=x.shape.slice();for(let v=0;v<y.length;++v)b.splice(y[v],0,1);w.arraysEqual(x.shape,b)||(x=be({inputs:{x},backend:n,attrs:{shape:b}}),f.push(x)),p===null?p=x:(p=O2({inputs:{a:x,b:p},backend:n}),f.push(p))}m<d-1&&(u[m]>=0&&(p=g0({inputs:{x:p},backend:n,attrs:{axis:u[m]-(o.length-h),keepDims:!1}}),f.push(p)),h--)}for(let m of f)m!==p&&n.disposeIntermediateTensorInfo(m);return p}var YJ={kernelName:Up,backendName:"webgl",kernelFunc:ZJ},JJ="return (x >= 0.0) ? x : (exp(x) - 1.0);",QJ=`
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vec4 result;
result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
return result;
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`,eQ=tt({opSnippet:JJ,packedOpSnippet:QJ}),tQ={kernelName:so,backendName:"webgl",kernelFunc:eQ},nQ="return (b >= 1.0) ? a : a * (b + 1.0);",sQ=`
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vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
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`,rQ=e=>{let{inputs:t,backend:n}=e,{dy:s,y:r}=t,a=Y().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new _d(sQ,s.shape,r.shape):new $u(nQ,s.shape,r.shape);return n.runWebGLProgram(a,[s,r],s.dtype)},aQ={kernelName:Hp,backendName:"webgl",kernelFunc:rQ},oQ=`
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return vec4(equal(a, b));
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`,iQ="return float(a == b);",lQ=bn({opSnippet:iQ,packedOpSnippet:oQ,dtype:"bool",cpuKernelImpl:qX}),uQ={kernelName:ol,backendName:"webgl",kernelFunc:lQ},cQ=`
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// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
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float p = ${_.ERF_P};
float a1 = ${_.ERF_A1};
float a2 = ${_.ERF_A2};
float a3 = ${_.ERF_A3};
float a4 = ${_.ERF_A4};
float a5 = ${_.ERF_A5};
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float sign = sign(x);
x = abs(x);
float t = 1.0 / (1.0 + p * x);
return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));
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`,dQ=tt({opSnippet:cQ}),pQ={kernelName:al,backendName:"webgl",kernelFunc:dQ},ek="return exp(x);",tk=tt({opSnippet:ek,packedOpSnippet:ek,cpuKernelImpl:XX}),hQ={kernelName:ro,backendName:"webgl",kernelFunc:tk};function L2(e){let{inputs:t,attrs:n,backend:s}=e,{dim:r}=n,{input:a}=t,o=a.shape.length,i=a.shape.slice(),l=r;return r<0&&(w.assert(-(o+1)<=r,()=>`Axis must be in the interval [${-(o+1)}, ${o}]`),l=o+r+1),i.splice(l,0,1),be({inputs:{x:a},backend:s,attrs:{shape:i}})}var fQ={kernelName:il,backendName:"webgl",kernelFunc:L2},nk="return exp(x) - 1.0;",mQ=tt({opSnippet:nk,packedOpSnippet:nk,cpuKernelImpl:KX}),gQ={kernelName:ll,backendName:"webgl",kernelFunc:mQ},sk=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=`
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const float exponentMultiplier = ${r};
float unaryOpComplex(float real, float expR, float imag, float expI) {
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${o}
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}
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float mulMatDFT(int batch, int index) {
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float indexRatio = float(index) / float(${s});
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float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio;
float result = 0.0;
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for (int i = 0; i < ${s}; i++) {
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// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float(i);
float expR = cos(x);
float expI = sin(x);
float real = getReal(batch, i);
float imag = getImag(batch, i);
result +=
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unaryOpComplex(real, expR, imag, expI) / ${a};
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}
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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`}};function rk(e,t,n){let s=n.texData.get(e.dataId),r=w.sizeFromShape(e.shape),a=e.shape[e.shape.length-1],o=r/a,i=be({inputs:{x:e},backend:n,attrs:{shape:[o,a]}}),l=i.shape,u=new sk("real",l,t),c=new sk("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}],p=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(c,d,"float32"),f=Ra({inputs:{real:p,imag:h},backend:n});n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h);let m=be({inputs:{x:f},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(f),m}function AQ(e){let{inputs:t,backend:n}=e,{input:s}=t;return rk(s,!1,n)}var yQ={kernelName:Gp,backendName:"webgl",kernelFunc:AQ},xQ=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=`
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void main() {
// Input can be obtained from uniform value.
setOutput(value);
}
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`}};function Od(e){let{backend:t,attrs:n}=e,{shape:s,value:r}=n,{dtype:a}=n;if(a=a||w.inferDtype(r),a==="string"){let o=w.getArrayFromDType(a,w.sizeFromShape(s));return o.fill(r),t.makeTensorInfo(s,a,o)}else{let o=new xQ(s,r),i=[[r]];return t.runWebGLProgram(o,[],a,i)}}var bQ={kernelName:gc,backendName:"webgl",kernelFunc:Od},vQ=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
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);
}
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`}},wQ={kernelName:ul,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,s=t,r=new vQ(n.shape);return s.runWebGLProgram(r,[n],n.dtype)}},ak="return floor(x);",kQ=tt({opSnippet:ak,packedOpSnippet:ak,cpuKernelImpl:ZX}),IQ={kernelName:ao,backendName:"webgl",kernelFunc:kQ},SQ=`
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float s = sign(a) * sign(b);
int ia = round(a);
int ib = round(b);
if (ib != 0) {
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
return float(idiv(ia, ib, s));
} else {
return NAN;
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}
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`,CQ=`
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ivec4 ia = round(a);
ivec4 ib = round(b);
bvec4 cond = notEqual(ib, ivec4(0));
ivec4 result = ivec4(0);
vec4 s = sign(a) * sign(b);
// 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);
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`,TQ=bn({opSnippet:SQ,packedOpSnippet:CQ,dtype:"int32"}),NQ={kernelName:oo,backendName:"webgl",kernelFunc:TQ},EQ=class{constructor(e){this.variableNames=["A"];let t=_n(),[n,s]=e;this.outputShape=e,this.userCode=`
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void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
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vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${s}.0, ${n}.0);
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vec4 values = ${t.texture2D}(A, uv);
float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
setOutput(floor(value * 255.0 + 0.5));
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}
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`}},RQ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=_n(),[n,s]=e;this.outputShape=e,this.userCode=`
2021-09-11 16:29:31 +02:00
void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
vec4 result = vec4(0.);
for(int row=0; row<=1; row++) {
for(int col=0; col<=1; col++) {
texC = coords[1] + row;
depth = coords[2] + col;
vec2 uv = (vec2(texC, texR) + halfCR) /
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vec2(${s}.0, ${n}.0);
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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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`}},DQ={kernelName:ph,backendName:"webgl",kernelFunc:_Q},Pu;function _Q(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)&&(Pu==null&&(Pu=document.createElement("canvas").getContext("2d")),Pu.canvas.width=l,Pu.canvas.height=u,Pu.drawImage(r,0,0,l,u),r=Pu.canvas);let p=n.makeTensorInfo(c,"int32");n.texData.get(p.dataId).usage=ws.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(p.dataId),r);let h=Y().getBool("WEBGL_PACK")?new RQ(d):new EQ(d),f=n.runWebGLProgram(h,[p],"int32");return n.disposeData(p.dataId),f}function $Q(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,filter:a,bias:o,preluActivationWeights:i}=t,{strides:l,pad:u,dataFormat:c,dilations:d,dimRoundingMode:p,activation:h,leakyreluAlpha:f}=s,m=_.convertConv2DDataFormat(c),g=_.computeConv2DInfo(r.shape,a.shape,l,d,u,p,!1,m),A,y=[];if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))A=q4({x:r,filter:a,convInfo:g,backend:n,bias:o,activation:h,preluActivationWeights:i,leakyreluAlpha:f});else if(Y().getBool("WEBGL_CONV_IM2COL")&&r.shape[0]===1)A=X4({x:r,filter:a,convInfo:g,backend:n,bias:o,activation:h,preluActivationWeights:i,leakyreluAlpha:f});else{let b=o!=null,v=i!=null,k=h==="leakyrelu",S=h?f0(h,!1):null,C=new j4(g,b,S,v,k),D=[r,a];if(o&&D.push(o),i&&D.push(i),k){let O=n.makeTensorInfo([],"float32",w.createScalarValue(f,"float32"));D.push(O),y.push(O)}A=n.runWebGLProgram(C,D,"float32")}let x=be({inputs:{x:A},backend:n,attrs:{shape:g.outShape}});return y.push(A),y.forEach(b=>n.disposeIntermediateTensorInfo(b)),x}var FQ={kernelName:Vo,backendName:"webgl",kernelFunc:$Q};function OQ(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:p,leakyreluAlpha:h}=s,f=[],m=c;m==null&&(m=[1,1]),w.assert(_.eitherStridesOrDilationsAreOne(l,m),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${m}'`);let g=_.computeConv2DInfo(r.shape,a.shape,l,m,u,d,!0),A=Y().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels==1,y=p?f0(p,A):null,x=[r,a],b=o!=null,v=i!=null,k=p==="leakyrelu";if(b&&x.push(o),v&&x.push(i),k){let O=n.makeTensorInfo([],"float32",w.createScalarValue(h,"float32"));x.push(O),f.push(O)}let S;A?S=new Q4(g,b,y,v,k):S=new J4(g,b,y,v,k);let C=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],D=n.runWebGLProgram(S,x,"float32",C);return f.forEach(O=>n.disposeIntermediateTensorInfo(O)),D}var PQ={kernelName:Uo,backendName:"webgl",kernelFunc:OQ},MQ=class{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;let s=yt(t.length),r=yt(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
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${s} strides = ${s}(${this.strides});
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void main() {
${r} coords = getOutputCoords();
int flattenIndex = 0;
for (int j = 0; j < ${this.sliceDim}; j++) {
int index = round(getIndices(coords[0], j));
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flattenIndex += index * ${a};
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}
setOutput(getX(flattenIndex, coords[1]));
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}
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`}};function zQ(e){let{inputs:t,backend:n}=e,{params:s,indices:r}=t,a=r.shape,o=a[a.length-1],i=w.sizeFromShape(s.shape),[l,u,c,d]=_.prepareAndValidate(s,r),p=be({inputs:{x:r},backend:n,attrs:{shape:[u,o]}}),h=be({inputs:{x:s},backend:n,attrs:{shape:[w.sizeFromShape(s.shape)/c,c]}});if(n.shouldExecuteOnCPU([s,r])||s.dtype==="string"){let A=n.readSync(r.dataId),y=n.bufferSync(s),x=YX(A,y,s.dtype,u,o,c,d,s.shape,i);return n.makeTensorInfo(l,s.dtype,x.values)}let f=new MQ(o,d,[u,c]),m=n.runWebGLProgram(f,[h,p],h.dtype),g=be({inputs:{x:m},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),g}var LQ={kernelName:dl,backendName:"webgl",kernelFunc:zQ},BQ=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=yt(this.rank),s=WQ(e,2);this.userCode=`
2021-09-11 16:29:31 +02:00
void main() {
${n} resRC = getOutputCoords();
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setOutput(getA(${s}));
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}
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`}};function WQ(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 ok(e){let{inputs:t,backend:n,attrs:s}=e,{x:r,indices:a}=t,{axis:o,batchDims:i}=s,l=w.parseAxisParam(o,r.shape)[0],u=_.segment_util.collectGatherOpShapeInfo(r,a,l,i),c=w.sizeFromShape(a.shape),d=[],p=be({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=be({inputs:{x:a},backend:n,attrs:{shape:[u.batchSize,c/u.batchSize]}});d.push(p),d.push(h);let f=[u.batchSize,u.outerSize,c/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([r,a])||r.dtype==="string"){let y=n.bufferSync(h),x=n.bufferSync(p),b=JX(x,y,f);return d.forEach(v=>n.disposeIntermediateTensorInfo(v)),n.makeTensorInfo(u.outputShape,b.dtype,b.values)}let m=new BQ(p.shape,f),g=n.runWebGLProgram(m,[p,h],p.dtype);d.push(g);let A=be({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),A}var VQ={kernelName:cl,backendName:"webgl",kernelFunc:ok},UQ="return float(a > b);",HQ=`
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return vec4(greaterThan(a, b));
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`,GQ=bn({opSnippet:UQ,packedOpSnippet:HQ,cpuKernelImpl:QX,dtype:"bool"}),jQ={kernelName:pl,backendName:"webgl",kernelFunc:GQ},qQ="return float(a >= b);",XQ=`
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return vec4(greaterThanEqual(a, b));
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`,KQ=bn({opSnippet:qQ,packedOpSnippet:XQ,dtype:"bool",cpuKernelImpl:eK}),ZQ={kernelName:lo,backendName:"webgl",kernelFunc:KQ};function YQ(e){let{inputs:t,backend:n}=e,{input:s}=t;return rk(s,!0,n)}var JQ={kernelName:jp,backendName:"webgl",kernelFunc:YQ},QQ="return float(!isnan(x) && !isinf(x));",eee=tt({opSnippet:QQ,dtype:"bool"}),tee={kernelName:hl,backendName:"webgl",kernelFunc:eee},nee="return float(isinf(x));",see=tt({opSnippet:nee,dtype:"bool"}),ree={kernelName:fl,backendName:"webgl",kernelFunc:see},aee="return float(isnan(x));",oee=tt({opSnippet:aee,dtype:"bool"}),iee={kernelName:ml,backendName:"webgl",kernelFunc:oee},lee="return float(a < b);",uee=`
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return vec4(lessThan(a, b));
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`,cee=bn({opSnippet:lee,packedOpSnippet:uee,cpuKernelImpl:tK,dtype:"bool"}),dee={kernelName:gl,backendName:"webgl",kernelFunc:cee},pee="return float(a <= b);",hee=`
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return vec4(lessThanEqual(a, b));
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`,fee=bn({opSnippet:pee,packedOpSnippet:hee,cpuKernelImpl:nK,dtype:"bool"}),mee={kernelName:Al,backendName:"webgl",kernelFunc:fee};function gee(e){let{backend:t,attrs:n}=e,{start:s,stop:r,num:a}=n,o=sK(s,r,a);return t.makeTensorInfo([o.length],"float32",o)}var Aee={kernelName:Xp,backendName:"webgl",kernelFunc:gee},yee=`if (x < 0.0) return NAN;
return log(x);`,xee=`
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vec4 result = log(x);
vec4 isNaN = vec4(lessThan(x, vec4(0.0)));
result.r = isNaN.r == 1.0 ? NAN : result.r;
result.g = isNaN.g == 1.0 ? NAN : result.g;
result.b = isNaN.b == 1.0 ? NAN : result.b;
result.a = isNaN.a == 1.0 ? NAN : result.a;
return result;
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`,bee=tt({opSnippet:yee,packedOpSnippet:xee,cpuKernelImpl:rK}),vee={kernelName:po,backendName:"webgl",kernelFunc:bee},wee="return log(1.0 + x);",kee=tt({opSnippet:wee}),Iee={kernelName:yl,backendName:"webgl",kernelFunc:kee},See="return float(a >= 1.0 && b >= 1.0);",Cee=`
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return vec4(
vec4(greaterThanEqual(a, vec4(1.0))) *
vec4(greaterThanEqual(b, vec4(1.0))));
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`,Tee=bn({opSnippet:See,packedOpSnippet:Cee,dtype:"bool"}),Nee={kernelName:xl,backendName:"webgl",kernelFunc:Tee},Eee="return float(!(x >= 1.0));",Ree=tt({opSnippet:Eee}),Dee={kernelName:Ac,backendName:"webgl",kernelFunc:Ree},_ee="return float(a >= 1.0 || b >= 1.0);",$ee=`
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return min(
vec4(greaterThanEqual(a, vec4(1.0))) +
vec4(greaterThanEqual(b, vec4(1.0))),
vec4(1.0));
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`,Fee=bn({opSnippet:_ee,packedOpSnippet:$ee,dtype:"bool"}),Oee={kernelName:yc,backendName:"webgl",kernelFunc:Fee},Pee=class{constructor(e,t,n,s,r){this.variableNames=["x"],this.outputShape=[];let a=t,o=e[3]-1;this.outputShape=e;let i,l=`float(${n}) + float(${s}) * sum`;r===.5?i=`inversesqrt(${l})`:r===1?i=`1.0/(${l})`:i=`exp(log(${l}) * float(-${r}));`,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
int d = coords[3];
float x = getX(b, r, c, d);
float sum = 0.0;
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for (int j = -${a}; j <= ${a}; j++) {
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int idx = d + j;
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if (idx >= 0 && idx <= ${o}) {
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float z = getX(b, r, c, idx);
sum += z * z;
}
}
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float val = x * ${i};
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setOutput(val);
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}
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`}},Mee=class{constructor(e,t,n,s,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let a=t,o=e[3]-1;this.outputShape=e;let i,l=`float(${n}) + float(${s}) * sum`;r===.5?i=`inversesqrt(${l})`:r===1?i=`1.0/(${l})`:i=`exp(log(${l}) * float(-${r}));`,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords.x;
int r = coords.y;
int c = coords.z;
int d = coords.w;
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
);
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int firstChannel = d - ${a};
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vec2 cache = vec2(0.);
if(firstChannel >= 0){
vec4 firstChannelFrag = getX(b, r, c, firstChannel);
cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));
if(hasNextRow){
cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));
}
}
ivec2 depth = ivec2(d, d + 1);
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for (int j = - ${a}; j <= ${a}; j++) {
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ivec2 idx = depth + j;
bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));
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bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${o}));
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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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vec4 result = xAtOutputCoords * ${i};
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setOutput(result);
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}
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`}},zee=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{depthRadius:a,bias:o,alpha:i,beta:l}=s,u=Y().getBool("WEBGL_PACK_NORMALIZATION")?new Mee(r.shape,a,o,i,l):new Pee(r.shape,a,o,i,l);return n.runWebGLProgram(u,[r],r.dtype)},Lee={kernelName:xc,backendName:"webgl",kernelFunc:zee},Bee=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=`
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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 = ${this.depth};
float norm = 0.0;
for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd) {
norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);
}
else {
break;
}
}
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norm = float(${s}) * norm + float(${n});
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for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd){
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float dyi = -2.0 * float(${s})
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* 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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`}},Wee=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 Bee(r.shape,i,l,u,c);return n.runWebGLProgram(d,[r,a,o],r.dtype)},Vee={kernelName:Kp,backendName:"webgl",kernelFunc:Wee};function Uee(e,t,n,s){let r=w.sizeFromShape(t),o=w.sizeFromShape(e.shape)/r,i=be({inputs:{x:e},attrs:{shape:[o,r]},backend:s}),l=wi(i,e.dtype,"max",s),u=be({inputs:{x:l},attrs:{shape:n},backend:s});return s.disposeIntermediateTensorInfo(i),s.disposeIntermediateTensorInfo(l),u}function ik(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{reductionIndices:a,keepDims:o}=s,i=r.shape.length,l=w.parseAxisParam(a,r.shape),u=l,c=_.getAxesPermutation(u,i),d=c!=null,p=n.shouldExecuteOnCPU([r]),h=r;if(d){if(p){let x=n.texData.get(h.dataId).values,b=new Array(i);for(let S=0;S<b.length;S++)b[S]=r.shape[c[S]];let v=F2(x,r.shape,r.dtype,c,b);h=n.makeTensorInfo(b,r.dtype);let k=n.texData.get(h.dataId);k.values=v}else h=m0(r,c,n);u=_.getInnerMostAxes(u.length,i)}_.assertAxesAreInnerMostDims("max",u,i);let[f,m]=_.computeOutAndReduceShapes(h.shape,u),g=f;o&&(g=_.expandShapeToKeepDim(f,l));let A;if(p){let x=n.texData.get(h.dataId).values,b=aK(x,w.sizeFromShape(m),g,r.dtype);A=n.makeTensorInfo(g,r.dtype);let v=n.texData.get(A.dataId);v.values=b}else A=Uee(h,m,g,n);return d&&n.disposeIntermediateTensorInfo(h),A}var Hee={kernelName:ho,backendName:"webgl",kernelFunc:ik},Gee=S4+`
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return max(a, b);
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`,jee=`
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vec4 result = vec4(max(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+h0+`
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return result;
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`,qee=bn({opSnippet:Gee,packedOpSnippet:jee,cpuKernelImpl:oK}),Xee={kernelName:fo,backendName:"webgl",kernelFunc:qee};function Kee(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t;Cu(r,"maxPool");let{filterSize:a,strides:o,pad:i,dimRoundingMode:l}=s,u=1;w.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&&w.arraysEqual(c.inShape,c.outShape))return cs({inputs:{x:r},backend:n});let d=new $d(c,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var Zee={kernelName:mo,backendName:"webgl",kernelFunc:Kee};function Yee(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{filterSize:a,strides:o,pad:i,dataFormat:l,dimRoundingMode:u}=s,c=[1,1,1],d=_.computePool3DInfo(r.shape,a,o,c,i,u,l),p=new P2(d,"max",!1);return n.runWebGLProgram(p,[r],r.dtype)}var Jee={kernelName:bc,backendName:"webgl",kernelFunc:Yee},Qee=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,s=e.dilationHeight,r=e.effectiveFilterHeight,a=e.effectiveFilterWidth,o=r-1-e.padInfo.top,i=a-1-e.padInfo.left,l=r*a-1;this.userCode=`
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const ivec2 pads = ivec2(${o}, ${i});
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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};
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wR += ${s}) {
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float dyR = float(dyRCorner + wR) / ${t}.0;
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 < ${a}; wC++) {
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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.
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int curPosValue = wR * ${a} + wC;
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float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
dotProd += dyValue * mask;
}
}
setOutput(dotProd);
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}
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`}},ete=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,s=e.strideWidth,r=e.dilationDepth,a=e.dilationHeight,o=e.dilationWidth,i=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=i-1-e.padInfo.front,d=l-1-e.padInfo.top,p=u-1-e.padInfo.left,h=i*l*u-1;this.userCode=`
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const ivec3 pads = ivec3(${c}, ${d}, ${p});
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
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for (int wD = 0; wD < ${i};
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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};
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wR += ${a}) {
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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};
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wC += ${o}) {
float dyC = float(dyCCorner + wC) / ${s}.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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int maxPosValue = ${h} -
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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 tte(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],p=_.computePool3DInfo(o.shape,i,l,d,u,c),h=new P2(p,"max",!0),f=n.runWebGLProgram(h,[o],o.dtype),m=new ete(p),g=n.runWebGLProgram(m,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),g}var nte={kernelName:Yp,backendName:"webgl",kernelFunc:tte};function ste(e){let{inputs:t,backend:n,attrs:s}=e,{dy:r,input:a,output:o}=t,i=a;Cu([a,o],"maxPoolGrad");let{filterSize:l,strides:u,pad:c,dimRoundingMode:d}=s,p=_.computePool2DInfo(i.shape,l,u,1,c,d),h=!0,f=new $d(p,"max",h),m=n.runWebGLProgram(f,[i],i.dtype),g=new Qee(p),A=n.runWebGLProgram(g,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),A}var rte={kernelName:Zp,backendName:"webgl",kernelFunc:ste};function ate(e,t,n,s){let r=new $d(n,"max",!1),a=s.runWebGLProgram(r,[e],"float32");r=new $d(n,"max",!0,!0,t);let o=s.runWebGLProgram(r,[e],"float32");return[a,o]}var ote={kernelName:Jp,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:s}=e,{filterSize:r,strides:a,pad:o,includeBatchInIndex:i}=t,l=n;w.assert(s.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${s.shape.length}.`);let u=[1,1];w.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,p]=ate(s,i,c,l);return[d,p]}};function ite(e,t,n,s){let r=w.sizeFromShape(t),o=w.sizeFromShape(e.shape)/r,i=be({inputs:{x:e},attrs:{shape:[o,r]},backend:s}),l=wi(i,"float32","mean",s),u=be({inputs:{x:l},attrs:{shape:n},backend:s});return s.disposeIntermediateTensorInfo(i),s.disposeIntermediateTensorInfo(l),u}var lte={kernelName:go,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=w.parseAxisParam(a,s.shape),u=l,c=_.getAxesPermutation(u,i),d=c!=null,p=o.shouldExecuteOnCPU([s]),h=[],f=s;if(d){if(p){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=F2(b,s.shape,s.dtype,c,v);f=o.makeTensorInfo(v,s.dtype);let S=o.texData.get(f.dataId);S.values=k}else f=m0(s,c,o);h.push(f),u=_.getInnerMostAxes(u.length,i)}_.assertAxesAreInnerMostDims("sum",u,i);let[m,g]=_.computeOutAndReduceShapes(f.shape,u),A=m;r&&(A=_.expandShapeToKeepDim(m,l));let y=ite(f,g,A,o);for(let x of h)o.disposeIntermediateTensorInfo(x);return y}};function ute(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=w.parseAxisParam(a,r.shape),u=l,c=_.getAxesPermutation(u,i),d=r;c!=null&&(d=Fn({inputs:{x:r},backend:n,attrs:{perm:c}}),u=_.getInnerMostAxes(u.length,r.shape.length)),_.assertAxesAreInnerMostDims("min",u,i);let[p,h]=_.computeOutAndReduceShapes(d.shape,u),f=w.sizeFromShape(h),m=be({inputs:{x:d},backend:n,attrs:{shape:[-1,f]}}),g=wi(m,m.dtype,"min",n),A;if(o){let y=_.expandShapeToKeepDim(p,l);A=be({inputs:{x:g},backend:n,attrs:{shape:y}})}else A=be({inputs:{x:g},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(g),c!=null&&n.disposeIntermediateTensorInfo(d),A}var cte={kernelName:Ao,backendName:"webgl",kernelFunc:ute},dte=S4+`
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return min(a, b);
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`,pte=`
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vec4 result = vec4(min(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+h0+`
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return result;
2021-09-28 18:01:48 +02:00
`,hte=bn({opSnippet:dte,packedOpSnippet:pte,cpuKernelImpl:iK}),fte={kernelName:yo,backendName:"webgl",kernelFunc:hte},mte=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=yt(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=`
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int start = ${a};
int end = ${o};
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void main() {
int outC = getOutputCoords();
if (outC < start) {
outC = start * 2 - outC - ${l};
} else if(outC >= end) {
outC = (end - 1) * 2 - outC + ${l};
}
setOutput(getX(outC - start));
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}
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`;return}this.userCode=`
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${r} start = ${r}(${a});
${r} end = ${r}(${o});
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void main() {
${r} outC = getOutputCoords();
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for (int i = 0; i < ${s}; i++) {
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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] + ${l};
}
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}
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${r} coords = outC - start;
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setOutput(getX(${i}));
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}
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`}},gte=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,f)=>h[0]+e[f]+h[1]);let s=e.length,r=yt(s),a=t.map(h=>h[0]).join(","),o=t.map((h,f)=>h[0]+e[f]).join(","),i=$n("rc",s),l=$n("source",s),u=`${i[s-1]} < ${this.outputShape[s-1]}`,c=s===1?"source":`vec2(${l.slice(-2).join()})`,d=n==="reflect"?0:1,p="";if(s===1){let h=`
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${r} source = rc;
if (source < start) {
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source = start * 2 - source - ${d};
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} else if (source >= end) {
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source = (end - 1) * 2 - source + ${d};
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}
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source -= start;
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`;p=`
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${r} rc = outputLoc;
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${h}
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result[0] = getChannel(getX(${l.join()}), ${c});
${i[s-1]} += 1;
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if(${u}) {
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${h}
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result[1] = getChannel(getX(${l.join()}), ${c});
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}
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`}else{let h=`
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${r} source = rc;
${r} lt = ${r}(lessThan(source, start));
${r} gte = ${r}(greaterThanEqual(source, end));
${r} orig = 1 - (lt + gte);
source = orig * source +
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lt * (start * 2 - source - ${d}) +
gte * ((end - 1) * 2 - source + ${d});
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source -= start;
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`;p=`
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${r} rc = outputLoc;
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${h}
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result[0] = getChannel(getX(${l.join()}), ${c});
${i[s-1]} += 1;
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if(${u}) {
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${h}
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result[1] = getChannel(getX(${l.join()}), ${c});
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}
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rc = outputLoc;
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${i[s-2]} += 1;
if(${i[s-2]} < ${this.outputShape[s-2]}) {
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${h}
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result[2] = getChannel(getX(${l.join()}), ${c});
${i[s-1]} += 1;
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if(${u}) {
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${h}
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result[3] = getChannel(getX(${l.join()}), ${c});
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}
}
`}this.userCode=`
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const ${r} start = ${r}(${a});
const ${r} end = ${r}(${o});
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void main() {
${r} outputLoc = getOutputCoords();
vec4 result = vec4(0.);
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${p}
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setOutput(result);
}
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`}},Ate=({inputs:e,backend:t,attrs:n})=>{let{x:s}=e,{paddings:r,mode:a}=n,o=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new gte(s.shape,r,a):new mte(s.shape,r,a);return t.runWebGLProgram(o,[s],s.dtype)},yte={kernelName:xo,backendName:"webgl",kernelFunc:Ate},xte=`if (b == 0.0) return NAN;
return mod(a, b);`,bte=`
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vec4 result = mod(a, b);
vec4 isNaN = vec4(equal(b, vec4(0.0)));
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`+h0+`
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return result;
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`,vte=bn({opSnippet:xte,packedOpSnippet:bte}),wte={kernelName:bl,backendName:"webgl",kernelFunc:vte},kte=class{constructor(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
float r = random(seed);
float cdf = 0.0;
for (int i = 0; i < ${t-1}; i++) {
cdf += getProbs(batch, i);
if (r < cdf) {
setOutput(float(i));
return;
}
}
// If no other event happened, last event happened.
setOutput(float(${t-1}));
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}
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`}},Ite=`
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if (a == b) {
return 1.0;
};
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return a / b;`,Ste=`
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// vec4 one = vec4(equal(a, b));
// return one + (vec4(1.0) - one) * a / b;
vec4 result = a / b;
if(a.x == b.x) {
result.x = 1.;
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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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}
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if(a.w == b.w) {
result.w = 1.;
}
return result;
2021-09-28 19:48:29 +02:00
`,lk=bn({opSnippet:Ite,packedOpSnippet:Ste,checkOutOfBounds:!0}),Cte={kernelName:no,backendName:"webgl",kernelFunc:lk},uk="return a - b;",ck=bn({opSnippet:uk,packedOpSnippet:uk,supportsComplex:!0,cpuKernelImpl:kK}),Tte={kernelName:Mo,backendName:"webgl",kernelFunc:ck};function dk(e){let{inputs:t,backend:n,attrs:s}=e,{logits:r}=t,{dim:a}=s,o=w.parseAxisParam([a],r.shape),i=ik({inputs:{x:r},backend:n,attrs:{reductionIndices:o,keepDims:!1}}),l=_.expandShapeToKeepDim(i.shape,o),u=be({inputs:{x:i},backend:n,attrs:{shape:l}}),c=ck({inputs:{a:r,b:u},backend:n}),d=tk({inputs:{x:c},backend:n}),p=g0({inputs:{x:d},backend:n,attrs:{axis:o,keepDims:!1}}),h=be({inputs:{x:p},backend:n,attrs:{shape:l}}),f=lk({inputs:{a:d,b:h},backend:n});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),f}var Nte={kernelName:Oo,backendName:"webgl",kernelFunc:dk};function Ete(e){let{inputs:t,backend:n,attrs:s}=e,{logits:r}=t,{numSamples:a,seed:o,normalized:i}=s,l=i?r:dk({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],c=l.shape[1],d=new kte(u,c,a),p=[[o]],h=n.runWebGLProgram(d,[l],"int32",p);return i||n.disposeIntermediateTensorInfo(l),h}var Rte={kernelName:Qp,backendName:"webgl",kernelFunc:Ete},pk="return -x;";function Dte(e){let{inputs:t,backend:n}=e,{x:s}=t;if(n.shouldExecuteOnCPU([s])){let a=n.texData.get(s.dataId),[o,i]=uK(a.values,s.shape,s.dtype);return n.makeTensorInfo(i,s.dtype,o)}let r;return Y().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Du(s.shape,pk):r=new Ea(s.shape,pk),n.runWebGLProgram(r,[s],s.dtype)}var _te={kernelName:vl,backendName:"webgl",kernelFunc:Dte},$te=mr.nonMaxSuppressionV3Impl;function Fte(e){_.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:s}=e,{boxes:r,scores:a}=t,{maxOutputSize:o,iouThreshold:i,scoreThreshold:l}=s,u=n.readSync(r.dataId),c=n.readSync(a.dataId),{selectedIndices:d}=$te(u,c,o,i,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var Ote={kernelName:kl,backendName:"webgl",kernelFunc:Fte},Pte=mr.nonMaxSuppressionV4Impl;function Mte(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:p,validOutputs:h}=Pte(c,d,o,i,l,u);return[n.makeTensorInfo([p.length],"int32",new Int32Array(p)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var zte={kernelName:Il,backendName:"webgl",kernelFunc:Mte},Lte=mr.nonMaxSuppressionV5Impl;function Bte(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),p=o,h=i,f=l,m=u,{selectedIndices:g,selectedScores:A}=Lte(c,d,p,h,f,m);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([A.length],"float32",new Float32Array(A))]}var Wte={kernelName:Sl,backendName:"webgl",kernelFunc:Bte},Vte=class{constructor(e,t,n,s){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
int index = round(getIndices(coords.x));
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setOutput(mix(float(${s}), float(${n}),
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float(index == coords.y)));
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}
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`}},Ute=e=>{let{inputs:t,backend:n,attrs:s}=e,{indices:r}=t,{depth:a,onValue:o,offValue:i}=s,l=w.sizeFromShape(r.shape),u=new Vte(l,a,o,i),c=be({inputs:{x:r},backend:n,attrs:{shape:[l]}}),d=n.runWebGLProgram(u,[c],r.dtype);n.disposeIntermediateTensorInfo(c);let p=[...r.shape,a],h=be({inputs:{x:d},backend:n,attrs:{shape:p}});return n.disposeIntermediateTensorInfo(d),h},Hte={kernelName:vo,backendName:"webgl",kernelFunc:Ute};function v0(e){let{inputs:t,backend:n}=e,{x:s}=t;if(s.dtype==="complex64"){let r=Fd({inputs:{input:s},backend:n}),a=v0({inputs:{x:r},backend:n}),o=b0({inputs:{input:s},backend:n}),i=v0({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 Od({attrs:{shape:s.shape,dtype:s.dtype,value:s.dtype==="string"?"":0},backend:n})}var Gte={kernelName:Hl,backendName:"webgl",kernelFunc:v0};function hk(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=Fd({inputs:{input:s},backend:n}),a=hk({inputs:{x:r},backend:n}),o=b0({inputs:{input:s},backend:n}),i=v0({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 Od({attrs:{shape:s.shape,dtype:s.dtype,value:1},backend:n})}var jte={kernelName:Cl,backendName:"webgl",kernelFunc:hk};function qte(e){let{inputs:t,backend:n,attrs:s}=e,{axis:r}=s;if(t.length===1)return L2({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let a=t[0].shape,o=t[0].dtype;t.forEach(c=>{w.assertShapesMatch(a,c.shape,"All tensors passed to stack must have matching shapes"),w.assert(o===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let i=[],l=t.map(c=>{let d=L2({inputs:{input:c},backend:n,attrs:{dim:r}});return i.push(d),d}),u=G4({inputs:l,backend:n,attrs:{axis:r}});return i.forEach(c=>n.disposeIntermediateTensorInfo(c)),u}var Xte={kernelName:Tl,backendName:"webgl",kernelFunc:qte},Kte=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=yt(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=`
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int start = ${a};
int end = ${o};
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void main() {
int outC = getOutputCoords();
if (outC < start || outC >= end) {
setOutput(value);
} else {
setOutput(getX(outC - start));
}
}
`;return}this.userCode=`
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${r} start = ${r}(${a});
${r} end = ${r}(${o});
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void main() {
${r} outC = getOutputCoords();
if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
setOutput(value);
} else {
${r} coords = outC - start;
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setOutput(getX(${i}));
2021-09-11 16:29:31 +02:00
}
}
2021-09-28 18:01:48 +02:00
`}},Zte=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=yt(s),a=t.map(f=>f[0]).join(","),o=t.map((f,m)=>f[0]+e[m]).join(","),i=$n("rc",s),l=$n("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;
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if(${u}) {
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`,s===1?"":`}
2021-09-11 16:29:31 +02:00
rc = outputLoc;
2021-09-11 17:17:13 +02:00
${i[s-2]} += 1;
if(${i[s-2]} < ${this.outputShape[s-2]}) {`,s===1?"":` ${i[s-1]} += 1;
2021-09-12 18:42:17 +02:00
if(${u}) {`],p=s===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="";for(let f=0,m=s===1?2:4;f<m;f++)h+=`
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${d[f]}
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if (${p}) {
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result[${f}] = float(value);
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} else {
${r} source = rc - start;
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result[${f}] = getChannel(getX(${l.join()}), ${c});
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}
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`;h+=s===1?"} ":"}}",this.userCode=`
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const ${r} start = ${r}(${a});
const ${r} end = ${r}(${o});
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void main() {
${r} outputLoc = getOutputCoords();
vec4 result = vec4(0.);
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${h}
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setOutput(result);
}
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`}},fk=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{paddings:a,constantValue:o}=s;if(w.sizeFromShape(r.shape)===0){let u=a.map((c,d)=>c[0]+r.shape[d]+c[1]);return Od({backend:n,attrs:{shape:u,value:o,dtype:r.dtype}})}let i=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Zte(r.shape,a,o):new Kte(r.shape,a,o),l=[[o]];return n.runWebGLProgram(i,[r],r.dtype,l)},Yte={kernelName:wo,backendName:"webgl",kernelFunc:fk},Jte=`
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if(a < 0.0 && floor(b) < b){
return NAN;
}
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);
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`,Qte=`
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// isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));
vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);
vec4 result = multiplier * pow(abs(a), b);
// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
bvec4 isExpZero = equal(b, vec4(0.0));
result.r = isExpZero.r ? 1.0 : result.r;
result.g = isExpZero.g ? 1.0 : result.g;
result.b = isExpZero.b ? 1.0 : result.b;
result.a = isExpZero.a ? 1.0 : result.a;
vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));
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`+h0+`
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return result;
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`,ene=bn({opSnippet:Jte,packedOpSnippet:Qte}),tne={kernelName:ko,backendName:"webgl",kernelFunc:ene};function nne(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{axis:a,keepDims:o}=s,i=r.shape.length,l=[],u=w.parseAxisParam(a,r.shape),c=u,d=_.getAxesPermutation(c,i),p=r;d!=null&&(p=Fn({inputs:{x:r},backend:n,attrs:{perm:d}}),c=_.getInnerMostAxes(c.length,i),l.push(p)),_.assertAxesAreInnerMostDims("prod",c,i);let h;if(n.shouldExecuteOnCPU([p])){let f=n.texData.get(p.dataId).values,{outVals:m,outShape:g,outDtype:A}=dK(p.shape,p.dtype,f,c);h=n.makeTensorInfo(g,A,m)}else{let[f,m]=_.computeOutAndReduceShapes(p.shape,c),g=w.sizeFromShape(m),A=be({inputs:{x:p},backend:n,attrs:{shape:[-1,g]}}),y=yh(r.dtype),x=wi(A,y,"prod",n);h=be({inputs:{x},backend:n,attrs:{shape:f}}),l.push(A),l.push(x)}if(o){l.push(h);let f=_.expandShapeToKeepDim(h.shape,u);h=be({inputs:{x:h},backend:n,attrs:{shape:f}})}return l.forEach(f=>n.disposeIntermediateTensorInfo(f)),h}var sne={kernelName:Nl,backendName:"webgl",kernelFunc:nne},mk=e=>{let{backend:t,attrs:n}=e,{start:s,stop:r,step:a,dtype:o}=n,i=pK(s,r,a,o);return t.makeTensorInfo([i.length],o,i)},rne={kernelName:vc,backendName:"webgl",kernelFunc:mk},ane="return 1.0 / x;",one=tt({opSnippet:ane}),ine={kernelName:El,backendName:"webgl",kernelFunc:one},lne=nr+`
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return (x < 0.0) ? 0.0 : x;
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`,une=`
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vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
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`,cne=tt({opSnippet:lne,packedOpSnippet:une}),dne={kernelName:So,backendName:"webgl",kernelFunc:cne},pne=nr+`
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return (x < 0.0) ? 0.0 : min(6.0, x);
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`,hne=`
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vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
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`,fne=tt({opSnippet:pne,packedOpSnippet:hne}),mne={kernelName:To,backendName:"webgl",kernelFunc:fne},gne=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=`
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const vec2 effectiveInputOverOutputRatioRC = vec2(
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${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;
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// Fractional source index.
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vec2 sourceFracIndexRC = ${d};
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// Compute the four integer indices.
ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));
ivec2 sourceCeilRC = ivec2(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);
float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);
float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);
float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);
vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);
float top = topLeft + (topRight - topLeft) * fracRC.y;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;
float newValue = top + (bottom - top) * fracRC.x;
setOutput(newValue);
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}
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`}},Ane=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d;r?d="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
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const vec3 effectiveInputOverOutputRatioRC = vec3(
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${u[0]/c[0]},
${u[1]/c[1]},
${u[1]/c[1]});
const vec3 inputShapeRC = vec3(${o}.0, ${i}.0,
${i}.0);
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float getAValue(int b, int r, int c, int d) {
return getChannel(getA(b, r, c, d), vec2(c, d));
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}
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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);
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// Fractional source index.
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vec3 sourceFracIndexRC = ${d};
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// Compute the four integer indices.
ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));
ivec3 sourceCeilRC = ivec3(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
// Should we calculate next column and row elements in 2x2 packed cell.
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);
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}
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`}};function yne(e){let{inputs:t,backend:n,attrs:s}=e,{images:r}=t,{alignCorners:a,halfPixelCenters:o,size:i}=s,[l,u]=i,c=Y().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Ane(r.shape,l,u,a,o):new gne(r.shape,l,u,a,o);return n.runWebGLProgram(c,[r],"float32")}var xne={kernelName:Co,backendName:"webgl",kernelFunc:yne},bne=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,p=1/c,h=Math.ceil(d)*2+2,f=Math.ceil(p)*2+2;this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
float accumulator = 0.0;
const float heightScale = float(${u});
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const float widthScale = float(${c});
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const float invHeightScale = float(${d});
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const float invWidthScale = float(${p});
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const int winHeight = int(${h});
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const int winWidth = int(${f});
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// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(startRLerp - float(winHeight / 2));
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
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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
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if (dyC < 0 || dyC >= ${o}) {
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continue;
}
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float dxR = float(dyR) * heightScale;
int topDxRIndex = int(floor(dxR));
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int bottomDxRIndex = int(min(ceil(dxR), ${s-1}.0));
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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), ${r-1}.0));
float dxCLerp = dxC - float(leftDxCIndex);
float inverseDxCLerp = 1.0 - dxCLerp;
if (r == topDxRIndex && c == leftDxCIndex) {
// topLeft
accumulator +=
getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;
}
if (r == topDxRIndex && c == rightDxCIndex) {
// topRight
accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;
}
if (r == bottomDxRIndex && c == leftDxCIndex) {
// bottomLeft
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;
}
if (r == bottomDxRIndex && c == rightDxCIndex) {
// bottomRight
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;
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}
}
}
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// End loop over dy
setOutput(accumulator);
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}
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`}};function vne(e){let{inputs:t,backend:n,attrs:s}=e,{images:r,dy:a}=t,{alignCorners:o}=s,i=new bne(a.shape,r.shape,o);return n.runWebGLProgram(i,[a],a.dtype)}var wne={kernelName:nh,backendName:"webgl",kernelFunc:vne},kne=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d=s?"0.5":"0.0",p;r?p="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":p="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
2021-09-11 16:29:31 +02:00
const vec2 effectiveInputOverOutputRatioRC = vec2(
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${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.
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vec2 sourceFracIndexRC = ${p};
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// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2(
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min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${d})));
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float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);
setOutput(newValue);
}
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`}},Ine=class{constructor(e,t,n,s,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[a,o,i,l]=e;this.outputShape=[a,t,n,l];let u=[s&&t>1?o-1:o,s&&n>1?i-1:i],c=[s&&t>1?t-1:t,s&&n>1?n-1:n],d=s?"0.5":"0.0",p;r?p="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":p="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
2021-09-11 16:29:31 +02:00
const vec3 effectiveInputOverOutputRatioRC = vec3(
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${u[0]/c[0]},
${u[1]/c[1]},
${u[1]/c[1]});
const vec3 inputShapeRC = vec3(${o}.0, ${i}.0,
${i}.0);
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float getAValue(int b, int r, int c, int d) {
return getChannel(getA(b, r, c, d), vec2(c, d));
}
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.
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vec3 sourceFracIndexRC = ${p};
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// Compute the coordinators of nearest neighbor point.
ivec3 sourceNearestRC = ivec3(
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min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${d})));
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// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < ${l-1};
bool hasNextRow = coords.z < ${n-1};
vec4 newValue = vec4(
getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),
hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);
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setOutput(newValue);
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}
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`}};function Sne(e){let{inputs:t,backend:n,attrs:s}=e,{images:r}=t,{alignCorners:a,halfPixelCenters:o,size:i}=s,[l,u]=i,c=Y().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Ine(r.shape,l,u,a,o):new kne(r.shape,l,u,a,o);return n.runWebGLProgram(c,[r],r.dtype)}var Cne={kernelName:wc,backendName:"webgl",kernelFunc:Sne},Tne=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,s,r]=t,[,a,o]=e,i=[n&&a>1?s-1:s,n&&o>1?r-1:r],l=[n&&a>1?a-1:a,n&&o>1?o-1:o],u=i[0]/l[0],c=i[1]/l[1],d=1/u,p=1/c,h=Math.ceil(d)*2+2,f=Math.ceil(p)*2+2;this.userCode=`
2021-09-11 16:29:31 +02:00
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
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float accumulator = 0.0;
2021-08-14 17:17:51 +02:00
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const float heightScale = float(${u});
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const float widthScale = float(${c});
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const float invHeightScale = float(${d});
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const float invWidthScale = float(${p});
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2021-09-12 18:42:17 +02:00
const int winHeight = int(${h});
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const int winWidth = int(${f});
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// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(floor(startRLerp - float(winHeight / 2)));
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
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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
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if (dyC < 0 || dyC >= ${o}) {
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continue;
}
2021-07-29 15:53:13 +02:00
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float sourceFracRow =
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float(${i[0]}) *
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(float(dyR) / float(${l[0]}));
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float sourceFracCol =
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float(${i[1]}) *
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(float(dyC) / float(${l[1]}));
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int sourceNearestRow = int(min(
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float(int(${s}) - 1),
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${n} ? float(round(sourceFracRow)) :
float(floor(sourceFracRow))));
2021-09-01 00:24:30 +02:00
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int sourceNearestCol = int(min(
float(int(${r}) - 1),
${n} ? float(round(sourceFracCol)) :
float(floor(sourceFracCol))));
if (r == sourceNearestRow && c == sourceNearestCol) {
accumulator += getDy(b, dyR, dyC, d);
}
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}
}
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// End loop over dy
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setOutput(accumulator);
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}
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`}};function Nne(e){let{inputs:t,backend:n,attrs:s}=e,{images:r,dy:a}=t,{alignCorners:o}=s,i=new Tne(a.shape,r.shape,o);return n.runWebGLProgram(i,[a],a.dtype)}var Ene={kernelName:th,backendName:"webgl",kernelFunc:Nne},Rne=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=`
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void main() {
int coord = getOutputCoords();
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=yt(n);this.userCode=`
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void main() {
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${a} coords = getOutputCoords();
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setOutput(getX(${r}));
}
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`}},Dne=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-${n} tensor is not yet supported`);this.outputShape=e;let s=$n("rc",n),r=`${s[n-1]} + 1 < ${this.outputShape[n-1]}`,a=`${s[n-2]} + 1 < ${this.outputShape[n-2]}`,o=yt(n);n===1?this.userCode=`
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void main(){
int rc = getOutputCoords();
vec4 result = vec4(0.);
result.r = getChannel(getX(${e[0]} - rc - 1),
${e[0]} - rc - 1);
if(${r}){
result.g = getChannel(getX(${e[0]} - (rc + 1) - 1),
${e[0]} - (rc + 1) - 1);
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}
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setOutput(result);
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}
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`:this.userCode=`
void main() {
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${o} rc = getOutputCoords();
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vec4 result = vec4(0.);
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result.r = ${i(s.slice())};
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if(${r}){
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result.g = ${l(s.slice())};
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}
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if(${a}) {
result.b = ${u(s.slice())};
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if(${r}) {
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result.a = ${c(s.slice())};
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}
}
setOutput(result);
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}
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`;function i(h){return d(h)}function l(h){return h[n-1]="("+h[n-1]+" + 1)",d(h)}function u(h){return h[n-2]="("+h[n-2]+" + 1)",d(h)}function c(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",d(h)}function d(h){let f=e.map((A,y)=>p(y,h)),m=f.join(","),g=f.slice(-2).join(",");return`getChannel(getX(${m}), vec2(${g}))`}function p(h,f){return t.indexOf(h)!==-1&&e[h]!==1?`${e[h]} - ${f[h]} - 1`:`${f[h]}`}}};function _ne(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{dims:a}=s,o=r.shape.length,i=w.parseAxisParam(a,r.shape);if(o===0)return cs({inputs:{x:r},backend:n});let l=Y().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Dne(r.shape,i):new Rne(r.shape,i);return n.runWebGLProgram(l,[r],r.dtype)}var $ne={kernelName:No,backendName:"webgl",kernelFunc:_ne},Fne=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 = ${t.toFixed(2)};`:r=`
2021-09-11 16:29:31 +02:00
vec3 fill = vec3(${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}
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if(coordX >= 0 && coordX < ${s} && coordY >= 0 && coordY < ${n}) {
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outputValue = getImage(coords[0], coordY, coordX, coords[3]);
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}
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setOutput(outputValue);
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}
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`}},One={kernelName:Gl,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:s}=e,{radians:r,fillValue:a,center:o}=t,i=n,l=new Fne(s.shape,a),[u,c]=_.getImageCenter(o,s.shape[1],s.shape[2]),d=[[u,c,Math.sin(r),Math.cos(r)]];return i.runWebGLProgram(l,[s],s.dtype,d)}},Pne=`
2021-09-11 16:29:31 +02:00
// OpenGL ES does not support round function.
// The algorithm is based on banker's rounding.
float base = floor(x);
if ((x - base) < 0.5) {
return floor(x);
} else if ((x - base) > 0.5) {
return ceil(x);
} else {
if (mod(base, 2.0) == 0.0) {
return base;
} else {
return base + 1.0;
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}
}
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`,Mne=tt({opSnippet:Pne}),zne={kernelName:Eo,backendName:"webgl",kernelFunc:Mne},Lne="return inversesqrt(x);",Bne=tt({opSnippet:Lne,cpuKernelImpl:hK}),Wne={kernelName:Ro,backendName:"webgl",kernelFunc:Bne},gk=class{constructor(e,t,n,s,r,a,o=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;let i=yt(r.length),l=yt(a.length),u="";n===1?u="i":n===2&&(u="i, j");let c=`getIndices(${u})`,d="";s===1?d="i":s===2&&(d="i, coords[1]");let p=`getUpdates(${d})`,h=t>1?"strides[j]":"strides";this.userCode=`
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${i} strides = ${i}(${r});
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2021-09-11 16:29:31 +02:00
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 < ${t}; j++) {
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int index = round(${c});
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flattenedIndex += index * ${h};
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}
if (flattenedIndex == coords[0]) {
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sum += ${p};
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found = true;
}
}
setOutput(mix(getDefaultValue(), sum, float(found)));
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}
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`}};function Vne(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),p=[d/u,u];if(d===0)return n.makeTensorInfo(o,r.dtype);let h=be({inputs:{x:r},backend:n,attrs:{shape:[l,i]}}),f=be({inputs:{x:a},backend:n,attrs:{shape:[l,u]}}),m=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new gk(l,i,h.shape.length,f.shape.length,c,p),A=n.runWebGLProgram(g,[f,h,m],f.dtype),y=be({inputs:{x:A},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(A),n.disposeIntermediateTensorInfo(m),y}var Une={kernelName:Dl,backendName:"webgl",kernelFunc:Vne},Hne=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=yt(n);this.userCode=`
2021-09-11 16:29:31 +02:00
void main() {
2021-09-11 17:17:13 +02:00
${a} resRC = getOutputCoords();
float cVal = getC(${s});
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if (cVal >= 1.0) {
setOutput(getA(${r}));
} else {
setOutput(getB(${r}));
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}
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}
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`}};function Gne(e){let{inputs:t,backend:n}=e,{condition:s,t:r,e:a}=t,o=new Hne(s.shape.length,r.shape,r.shape.length);return n.runWebGLProgram(o,[s,r,a],Ds(r.dtype,a.dtype))}var jne={kernelName:_l,backendName:"webgl",kernelFunc:Gne},qne=`
2021-09-11 16:29:31 +02:00
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
2021-09-15 04:07:13 +02:00
float scaleAlpha = ${_.SELU_SCALEALPHA};
float scale = ${_.SELU_SCALE};
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return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
2021-09-28 18:01:48 +02:00
`,Xne=tt({opSnippet:qne}),Kne={kernelName:$l,backendName:"webgl",kernelFunc:Xne},Ak="return 1.0 / (1.0 + exp(-1.0 * x));",Zne=tt({opSnippet:Ak,packedOpSnippet:Ak,cpuKernelImpl:fK}),Yne={kernelName:_o,backendName:"webgl",kernelFunc:Zne},Jne=`
2021-09-11 16:29:31 +02:00
if (isnan(x)) { return 0.0; }
return sign(x);
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`,Qne=tt({opSnippet:Jne}),ese={kernelName:Pl,backendName:"webgl",kernelFunc:Qne},tse=R4+`
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return sin(x);
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`,nse=tt({opSnippet:tse}),sse={kernelName:Do,backendName:"webgl",kernelFunc:nse},rse=`
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float e2x = exp(x);
return (e2x - 1.0 / e2x) / 2.0;
2021-09-28 18:01:48 +02:00
`,ase=tt({opSnippet:rse}),ose={kernelName:Ol,backendName:"webgl",kernelFunc:ase},ise=`
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float epsilon = 1.1920928955078125e-7;
float threshold = log(epsilon) + 2.0;
2021-08-14 17:17:51 +02:00
2021-09-11 16:29:31 +02:00
bool too_large = x > -threshold;
bool too_small = x < threshold;
2021-08-14 17:16:26 +02:00
2021-09-11 16:29:31 +02:00
float result;
float exp_x = exp(x);
2021-06-07 02:34:29 +02:00
2021-09-11 16:29:31 +02:00
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;
2021-09-28 18:01:48 +02:00
`,lse=tt({opSnippet:ise}),use={kernelName:Ml,backendName:"webgl",kernelFunc:lse},cse=e=>{let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{blockShape:a,paddings:o}=s;w.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let i=a.reduce((A,y)=>A*y),l=[[0,0]];l.push(...o);for(let A=1+a.length;A<r.shape.length;++A)l.push([0,0]);let u=[],c=fk({inputs:{x:r},backend:n,attrs:{paddings:l,constantValue:0}}),d=_.getReshaped(c.shape,a,i,!1),p=_.getPermuted(d.length,a.length,!1),h=_.getReshapedPermuted(c.shape,a,i,!1),f=be({inputs:{x:c},backend:n,attrs:{shape:d}}),m=Fn({inputs:{x:f},backend:n,attrs:{perm:p}}),g=be({inputs:{x:m},backend:n,attrs:{shape:h}});return u.push(c),u.push(f),u.push(m),u.forEach(A=>n.disposeIntermediateTensorInfo(A)),g},dse={kernelName:zl,backendName:"webgl",kernelFunc:cse};function pse(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:
2021-09-11 17:17:13 +02:00
${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:
2021-09-28 18:01:48 +02:00
${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,p,h,f,m]=gK(i,s.shape,s.dtype,l,r.dtype,u,c);return[n.makeTensorInfo(p,s.dtype,d),n.makeTensorInfo([p[0]],r.dtype,h),n.makeTensorInfo([f.length],"bool",new Uint8Array(f.map(g=>Number(g)))),n.makeTensorInfo([m.length],s.dtype,new Int32Array(m))]}var hse={kernelName:sh,backendName:"webgl",kernelFunc:pse};function fse(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]=AK(i,s.shape,s.dtype,o,l);return[n.makeTensorInfo(c,s.dtype,u),n.makeTensorInfo([d.length],a.dtype,new Int32Array(d))]}var mse={kernelName:rh,backendName:"webgl",kernelFunc:fse};function gse(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
2021-09-11 17:17:13 +02:00
${r.shape}`);if(a.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
2021-09-28 18:01:48 +02:00
${a.shape}`);let o=n.readSync(s.dataId),i=n.readSync(r.dataId),l=n.readSync(a.dataId),[u,c]=A4(o,s.shape,s.dtype,i,l,!0);return n.makeTensorInfo(c,s.dtype,u)}var Ase={kernelName:ah,backendName:"webgl",kernelFunc:gse};function yse(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
2021-09-11 17:17:13 +02:00
${r.shape}`);if(a.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
2021-09-28 18:01:48 +02:00
${a.shape}`);let o=n.readSync(s.dataId),i=n.readSync(r.dataId),l=n.readSync(a.dataId),[u,c]=A4(o,s.shape,s.dtype,i,l);return n.makeTensorInfo(c,s.dtype,u)}var xse={kernelName:oh,backendName:"webgl",kernelFunc:yse};function bse(e){let{inputs:t,backend:n,attrs:s}=e,{sparseIndices:r,sparseValues:a,defaultValue:o}=t,{outputShape:i}=s,{sliceRank:l,numUpdates:u,strides:c,outputSize:d}=_.calculateShapes(a,r,i),p=!1,h=new gk(u,l,r.shape.length,a.shape.length,c,[d,1],p),f=n.runWebGLProgram(h,[a,r,o],a.dtype),m=be({inputs:{x:f},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(f),m}var vse={kernelName:ih,backendName:"webgl",kernelFunc:bse};function wse(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{numOrSizeSplits:a,axis:o}=s,i=w.parseAxisParam(o,r.shape)[0],l=_.prepareSplitSize(r,a,i),u=r.shape.length,c=new Array(u).fill(0),d=r.shape.slice();return l.map(p=>{let h=[...d];h[i]=p;let f=Fu({inputs:{x:r},backend:n,attrs:{begin:c,size:h}});return c[i]+=p,f})}var kse={kernelName:Ll,backendName:"webgl",kernelFunc:wse},yk="return sqrt(x);",Ise=tt({opSnippet:yk,packedOpSnippet:yk,cpuKernelImpl:yK}),Sse={kernelName:$o,backendName:"webgl",kernelFunc:Ise},Cse="return x * x;",Tse=tt({opSnippet:Cse}),Nse={kernelName:kc,backendName:"webgl",kernelFunc:Tse},xk="return (a - b) * (a - b);",Ese=bn({opSnippet:xk,packedOpSnippet:xk}),Rse={kernelName:Po,backendName:"webgl",kernelFunc:Ese};function Dse({inputs:e,attrs:t,backend:n}){let{x:s}=e,r=nr+`
2021-09-11 16:29:31 +02:00
return x > 0.0 ? 1.0 : float(${t.alpha});
2021-09-28 18:01:48 +02:00
`,a=new Ea(s.shape,r);return n.runWebGLProgram(a,[s],s.dtype)}var _se={kernelName:la,backendName:"webgl",kernelFunc:Dse},$se=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let s=n.length,r=yt(n.length),a=yt(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[${u}]`)).join(",")}this.userCode=`
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${r} begin = ${r}(${e});
${r} strides = ${r}(${t});
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void main() {
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${a} coords = getOutputCoords();
setOutput(getX(${o}));
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}
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`}};function Fse(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:p}=s,{nonStrided:h,$begin:f,$strides:m,size:g,newShape:A,outShape:y}=Nn.sliceInfo(r.shape,a,o,i,l,u,c,d,p),x=be({inputs:{x:r},backend:n,attrs:{shape:A}}),b;if(h){let k=Fu({inputs:{x},backend:n,attrs:{begin:f,size:g}});b=be({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,D=Ge(x.shape,x.dtype,C),O=xK(y,D,m,f);b=n.makeTensorInfo(y,x.dtype,O.values)}else{let S=new $se(f,m,y);b=n.runWebGLProgram(S,[x],x.dtype)}let v=be({inputs:{x:b},backend:n,attrs:{shape:y}});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(b),v}var Ose={kernelName:Bl,backendName:"webgl",kernelFunc:Fse};function Pse(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,p=n.readSync(c.dataId),h=n.readSync(d.dataId),[f,m]=bK(p,h,r,a,o,i,l,u);return[n.makeTensorInfo([f.length],"string",f),n.makeTensorInfo(d.shape,"int32",m)]}var Mse={kernelName:lh,backendName:"webgl",kernelFunc:Pse};function zse(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: ${o.shape}`);let i=n.readSync(a.dataId),l=n.readSync(o.dataId)[0],[u,c,d]=vK(i,l,r),p=c.length;return[n.makeTensorInfo([p,2],"int32",u),n.makeTensorInfo([p],"string",c),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var Lse={kernelName:uh,backendName:"webgl",kernelFunc:zse};function Bse(e){let{inputs:t,backend:n,attrs:s}=e,{numBuckets:r}=s,{input:a}=t;if(a.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let o=n.readSync(a.dataId),i=wK(o,r);return n.makeTensorInfo(a.shape,"int32",i)}var Wse={kernelName:ch,backendName:"webgl",kernelFunc:Bse},Vse="return tan(x);",Use=tt({opSnippet:Vse}),Hse={kernelName:zo,backendName:"webgl",kernelFunc:Use},Gse=`
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float e2x = exp(-2.0 * abs(x));
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
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`,jse=tt({opSnippet:Gse}),qse={kernelName:Lo,backendName:"webgl",kernelFunc:jse},Xse=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let a=0;a<n.length;a++)n[a]=e[a]*t[a];this.outputShape=n,this.rank=n.length;let s=yt(this.rank),r=Kse(e);this.userCode=`
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void main() {
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${s} resRC = getOutputCoords();
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setOutput(getA(${r}));
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}
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`}};function Kse(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 bk(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(p=>w.decodeString(p)):l,c=Ge(r.shape,r.dtype,u),d=IK(c,a);return n.makeTensorInfo(d.shape,d.dtype,d.values)}let o=new Xse(r.shape,a);return n.runWebGLProgram(o,[r],r.dtype)}var Zse={kernelName:ia,backendName:"webgl",kernelFunc:bk},Yse=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=`
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int elemIdx = coords[1];
// We compare elements pair-wise within a group of size 2 * inc.
// The comparing rule for each group alternates between ascending
// and descending. Within each group, we compare each pair at
// positions i and i+inc. To decide whether an element at position i
// is x0 or x1, we mod it by 2 * inc, if the result is smaller than
// inc, it is in the first half of the group, we denote it as x0,
// otherwise we denote it as x1.
// For example, as shown in the Bitonic top K paper referenced above,
// Figure5(a) shows that element[1] is in the
// second half of the group when group size is 2, but it is in the
// first half of the group when group size is 4.
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bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;
int i = isFirstInPair ? elemIdx : elemIdx - inc;
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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));
}
}
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`}},Jse=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=`
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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 ki(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function vk(e){let t=1;for(;t<e;)t*=2;return t}function Qse(e){let{inputs:t,backend:n,attrs:s}=e,{x:r}=t,{k:a,sorted:o}=s,i=Y().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),l=Y().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),[E,R]=SK(O,u,r.dtype,a,o);return[n.makeTensorInfo(E.shape,E.dtype,E.values),n.makeTensorInfo(R.shape,R.dtype,R.values)]}if(a===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(c===1)return[r,Od({attrs:{shape:u,dtype:"int32",value:0},backend:n})];let d=n.texData.get(r.dataId),p=d!==null&&d.isPacked,h=p?n.unpackTensor(r):r,m=w.sizeFromShape(u)/c,g=be({inputs:{x:h},attrs:{shape:[m,c]},backend:n});p&&ki(n,h);let A=vk(a),y=vk(c),x=null,b=()=>x===null?[g,g]:[g,x],v=(O,E,R)=>{let T=b(),P=new Yse(R),j=[[c],[x===null?1:0],[Number.NEGATIVE_INFINITY],[O],[E]],q=x;x=n.runWebGLProgram(P,T,"int32",j),ki(n,q)};for(let O=1;O<A;O*=2){let E=O*2;for(let R=O;R>=1;R/=2)v(E,R,[m,y])}for(let O=y;O>A;O/=2){let E=b(),R=new Jse([m,O/2]),P=[[c],[x===null?1:0],[A]],U=x;x=n.runWebGLProgram(R,E,"int32",P),ki(n,U);let j=A/2,q=j*2;for(let X=j;X>=1;X/=2)v(q,X,x.shape)}let k=x;x=Fu({inputs:{x},backend:n,attrs:{begin:0,size:[m,a]}}),ki(n,k);let S=ok({inputs:{x:g,indices:x},backend:n,attrs:{axis:1,batchDims:1}});ki(n,g);let C=u.slice(0,-1);C.push(a),k=x,x=be({inputs:{x},attrs:{shape:C},backend:n}),ki(n,k);let D=S;return S=be({inputs:{x:S},attrs:{shape:C},backend:n}),ki(n,D),[S,x]}var ere={kernelName:Wl,backendName:"webgl",kernelFunc:Qse},tre=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;
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if(${i} == 2) {
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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);
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} else if (${i} == 3) {
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if (inCoord < 0.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz = len - 1.0;
inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);
}
} else if (inCoord > len - 1.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz = len - 1.0;
inCoord -= len * float(int(float(inCoord / sz)));
}
}
return clamp(inCoord, 0.0, len - 1.0);
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} else if (${i} == 4) {
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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) {
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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);
}
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`}};function nre(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,p,h]=r.shape,[f,m]=u!=null?u:[d,p],g=[c,f,m,h],A=new tre(d,p,o,i,l,g);return n.runWebGLProgram(A,[r,a],"float32")}var sre={kernelName:Vl,backendName:"webgl",kernelFunc:nre};function rre(e){let{inputs:t,attrs:n,backend:s}=e,{axis:r}=n,{x:a}=t;Cu(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}=CK(o,r,a.shape,a.dtype);return[s.makeTensorInfo(l,a.dtype,i),s.makeTensorInfo([u.length],"int32",u)]}var are={kernelName:dh,backendName:"webgl",kernelFunc:rre};function ore(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=[],p=new Array(i).fill(0),h=o.shape.slice();h[a]=1;let f=new Array(l);for(let m=0;m<f.length;m++){p[a]=m;let g=Fu({inputs:{x:o},backend:n,attrs:{begin:p,size:h}}),A=be({inputs:{x:g},backend:n,attrs:{shape:u}});f[m]=A,d.push(g)}return d.forEach(m=>n.disposeIntermediateTensorInfo(m)),f}var ire={kernelName:Ul,backendName:"webgl",kernelFunc:ore},lre=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=`
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sumValue += dot(values, segFilter);
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`,p="";r%n>0&&(p=`
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if (inIdx < 0 || inIdx >= ${r}) {
return initializationValue;
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}
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`);let h="";r%n>0&&(h=`
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if (inIdx < 0 || inIdx >= ${r}) {
return -1.0;
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}
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`),this.userCode=`
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const float initializationValue = ${i};
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float getValue(int batch, int inIdx) {
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${p}
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return getX(batch, inIdx);
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}
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float getSegmentIdAtIndex(int inIdx) {
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${h}
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return getSegmentIds(inIdx);
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}
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = int(floor(float(outIdx) / float(
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${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 < ${u}; i += 4) {
int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
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vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0
);
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${d}
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}
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int inIdx = inOffset + ${u};
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if (${c===1}) {
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vec4 values = vec4(
getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
int inIdxSeg = int(getSegmentIdAtIndex(inIdx));
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
0,
0,
0
);
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${d}
} else if (${c===2}) {
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vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
0,
0
);
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${d}
} else if (${c===3}) {
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vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
0
);
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${d}
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}
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setOutput(${l});
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}
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`}};function ure(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=Fn({inputs:{x:r},backend:n,attrs:{perm:c}}),l.push(d),u=_.getInnerMostAxes(1,i)[0]);let p=_.segment_util.computeOutShape(d.shape,u,o),h=w.sizeFromShape([d.shape[u]]),f=be({inputs:{x:d},backend:n,attrs:{shape:[-1,h]}});l.push(f);let m=yh(r.dtype),g=(b,v,k,S,C)=>{let D=b.shape[0],O=b.shape[1],E=_.segment_util.segOpComputeOptimalWindowSize(O,C),R={windowSize:E,inSize:O,batchSize:D,numSegments:C},T=new lre(R,v),P=n.compileAndRun(T,[b,k],S);if(l.push(P),P.shape[1]===C)return P;let U=mk({backend:n,attrs:{start:0,stop:C,step:1,dtype:"float32"}}),j=bk({inputs:{x:U},backend:n,attrs:{reps:[O/E]}});return l.push(U),l.push(j),g(P,v,j,S,C)},A=g(f,"unsortedSegmentSum",a,m,o),y=be({inputs:{x:A},backend:n,attrs:{shape:p}}),x=y;if(c!=null){l.push(y);let b=_.getUndoAxesPermutation(c);x=Fn({inputs:{x},backend:n,attrs:{perm:b}})}return l.forEach(b=>n.disposeIntermediateTensorInfo(b)),x}var cre={kernelName:Ic,backendName:"webgl",kernelFunc:ure},dre=[Lee,Vee,SZ,TZ,RZ,$Z,OZ,zZ,BZ,VZ,jZ,XZ,YZ,eY,iY,sY,cY,fY,pY,yY,bY,wY,CY,$Y,OY,WY,UY,qY,ZY,oZ,tJ,dJ,hJ,aJ,AJ,xJ,mJ,wJ,SJ,NJ,RJ,_J,OJ,WJ,UJ,MJ,jJ,KJ,YJ,tQ,aQ,uQ,pQ,hQ,fQ,gQ,yQ,bQ,wQ,IQ,NQ,DQ,FQ,PQ,LQ,VQ,jQ,ZQ,aZ,JQ,QY,tee,ree,iee,lZ,dee,mee,Aee,Iee,vee,Nee,Dee,Oee,Hee,Jee,Zee,nte,rte,ote,Xee,lte,cte,fte,yte,wte,Rte,hZ,_te,Ote,zte,Wte,MY,Hte,jte,Xte,Yte,tne,cZ,sne,rne,zY,Cte,ine,mne,dne,mZ,xne,wne,Cne,Ene,$ne,One,zne,Wne,Une,jne,Kne,Yne,ese,sse,ose,DY,Nte,use,dse,hse,mse,Ase,xse,vse,kse,Sse,Nse,Rse,_se,Ose,Mse,Lse,Wse,Tte,wZ,Hse,qse,Zse,ere,sre,kZ,are,ire,cre,Gte];for(let e of dre)ua(e);var qn;(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"})(qn||(qn={}));var Pd;(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",e[e.elu=6]="elu"})(Pd||(Pd={}));var wk;function pre(e){wk=e.wasm.cwrap(Wo,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function hre(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,p=n.dataIdMap.get(r.dataId).id,h=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 ${C.shape.length}.`);f=C.id}let m=i==null?0:n.dataIdMap.get(i.dataId).id,g=Pd[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let A=l?r.shape[2]:r.shape[1],y=u?a.shape[1]:a.shape[2],x=r.shape[0],b=n.makeOutput([x,A,y],r.dtype),v=n.dataIdMap.get(b.dataId).id,k=new Uint8Array(new Int32Array(r.shape).buffer),S=new Uint8Array(new Int32Array(a.shape).buffer);return wk(p,k,r.shape.length,h,S,a.shape.length,l,u,g,f,m,d||0,v),b}var fre={kernelName:Wo,backendName:"wasm",setupFunc:pre,kernelFunc:hre};function vn(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 w.sizeFromShape(l.shape)===0||t(i,u),l}return{kernelName:e,backendName:"wasm",setupFunc:n,kernelFunc:s}}var mre=vn(Gi);function On(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,p=i.dataIdMap.get(c.dataId).id,h=n!=null?n:u.dtype,f=_.assertAndGetBroadcastShape(u.shape,c.shape),m=i.makeOutput(f,h);if(w.sizeFromShape(f)===0)return m;let g=new Uint8Array(new Int32Array(u.shape).buffer),A=new Uint8Array(new Int32Array(c.shape).buffer),y=i.dataIdMap.get(m.dataId).id,x=()=>s
2021-09-11 16:29:31 +02:00
`),k.FRAGMENT_IDENTITY=["precision highp float;","varying vec2 vUv;","uniform sampler2D texture;","void main(void) {","gl_FragColor = texture2D(texture, vUv);","}"].join(`
2021-09-28 18:01:48 +02:00
`),c=new Ble(m,k.VERTEX_IDENTITY,v);let S=Float32Array.BYTES_PER_ELEMENT,C=4*S;return m.enableVertexAttribArray(c.attribute.pos),m.vertexAttribPointer(c.attribute.pos,2,m.FLOAT,!1,C,0*S),m.enableVertexAttribArray(c.attribute.uv),m.vertexAttribPointer(c.attribute.uv,2,m.FLOAT,!1,C,2*S),h[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 S=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(S);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(`
2021-09-11 17:17:13 +02:00
`),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(`
2021-09-15 04:07:13 +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,S=(k-1)*-.5;d.colorMatrix([k,S,S,0,0,S,k,S,0,0,S,S,k,0,0,0,0,0,1,0])},d.desaturate=function(){d.saturation(-1)},d.contrast=function(v){let k=(v||0)+1,S=-128*(k-1);d.colorMatrix([k,0,0,0,S,0,k,0,0,S,0,0,k,0,S,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),S=Math.sin(v),C=.213,D=.715,O=.072;d.colorMatrix([C+k*(1-C)+S*-C,D+k*-D+S*-D,O+k*-O+S*(1-O),0,0,C+k*-C+S*.143,D+k*(1-D)+S*.14,O+k*-O+S*-.283,0,0,C+k*-C+S*-(1-C),D+k*-D+S*D,O+k*(1-O)+S*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),S=1/i,C=1/l,D=b(d.convolution.SHADER);m.uniform1fv(D.uniform.m,k),m.uniform2f(D.uniform.px,S,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(`
2021-09-11 17:17:13 +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,S=v/7/l,C=b(d.blur.SHADER);m.uniform2f(C.uniform.px,0,S),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,S=v/l,C=b(d.pixelate.SHADER);m.uniform2f(C.uniform.size,k,S),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(`
2021-09-28 19:48:29 +02:00
`)}var N0=2048,Oe,Nt,jt;function ds(e,t){let n;return oe.browser?oe.offscreen?n=new OffscreenCanvas(e,t):(n=document.createElement("canvas"),n.width=e,n.height=t):typeof oe.Canvas!="undefined"?n=new oe.Canvas(e,t):typeof globalThis.Canvas!="undefined"&&(n=new globalThis.Canvas(e,t)),n}function zu(e,t){let n;if(!e)return t.debug&&re("input is missing"),{tensor:null,canvas:null};if(!(e instanceof He)&&!(typeof Image!="undefined"&&e instanceof Image)&&!(typeof oe.Canvas!="undefined"&&e instanceof oe.Canvas)&&!(typeof globalThis.Canvas!="undefined"&&e instanceof globalThis.Canvas)&&!(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("input type is not recognized");if(e instanceof He){if(e.isDisposedInternal)throw new Error("input tensor is disposed");if(e.shape&&e.shape.length===4&&e.shape[0]===1&&e.shape[3]===3)n=Hs(e);else throw new Error(`input tensor shape must be [1, height, width, 3] and instead was ${e.shape}`)}else{if(typeof e.readyState!="undefined"&&e.readyState<=2)return t.debug&&re("input stream is not ready"),{tensor:null,canvas:Oe};let s=e.naturalWidth||e.videoWidth||e.width||e.shape&&e.shape[1]>0,r=e.naturalHeight||e.videoHeight||e.height||e.shape&&e.shape[2]>0;if(!s||!r)return t.debug&&re("cannot determine input dimensions"),{tensor:null,canvas:Oe};let a=s,o=r;if(a>N0&&(a=N0,o=Math.trunc(a*r/s)),o>N0&&(o=N0,a=Math.trunc(o*s/r)),(t.filter.width||0)>0?a=t.filter.width:(t.filter.height||0)>0&&(a=s*((t.filter.height||0)/r)),(t.filter.height||0)>0?o=t.filter.height:(t.filter.width||0)>0&&(o=r*((t.filter.width||0)/s)),!a||!o)throw new Error("input cannot determine dimension");(!Oe||(Oe==null?void 0:Oe.width)!==a||(Oe==null?void 0:Oe.height)!==o)&&(Oe=ds(a,o));let i=Oe.getContext("2d");if(typeof ImageData!="undefined"&&e instanceof ImageData?i.putImageData(e,0,0):t.filter.flip&&typeof i.translate!="undefined"?(i.translate(s,0),i.scale(-1,1),i.drawImage(e,0,0,s,r,0,0,Oe==null?void 0:Oe.width,Oe==null?void 0:Oe.height),i.setTransform(1,0,0,1,0,0)):i.drawImage(e,0,0,s,r,0,0,Oe==null?void 0:Oe.width,Oe==null?void 0:Oe.height),t.filter.enabled&&oe.webgl.supported){if((!jt||!Nt||Oe.width!==Nt.width||(Oe==null?void 0:Oe.height)!==(Nt==null?void 0:Nt.height))&&(Nt=ds(Oe==null?void 0:Oe.width,Oe==null?void 0:Oe.height),(Nt==null?void 0:Nt.width)!==(Oe==null?void 0:Oe.width)&&(Nt.width=Oe==null?void 0:Oe.width),(Nt==null?void 0:Nt.height)!==(Oe==null?void 0:Oe.height)&&(Nt.height=Oe==null?void 0:Oe.height),jt=oe.browser?new E8({canvas:Nt}):null),!jt)return{tensor:null,canvas:Oe};jt.reset(),jt.addFilter("brightness",t.filter.brightness),t.filter.contrast!==0&&jt.addFilter("contrast",t.filter.contrast),t.filter.sharpness!==0&&jt.addFilter("sharpen",t.filter.sharpness),t.filter.blur!==0&&jt.addFilter("blur",t.filter.blur),t.filter.saturation!==0&&jt.addFilter("saturation",t.filter.saturation),t.filter.hue!==0&&jt.addFilter("hue",t.filter.hue),t.filter.negative&&jt.addFilter("negative"),t.filter.sepia&&jt.addFilter("sepia"),t.filter.vintage&&jt.addFilter("brownie"),t.filter.sepia&&jt.addFilter("sepia"),t.filter.kodachrome&&jt.addFilter("kodachrome"),t.filter.technicolor&&jt.addFilter("technicolor"),t.filter.polaroid&&jt.addFilter("polaroid"),t.filter.pixelate!==0&&jt.addFilter("pixelate",t.filter.pixelate),jt.apply(Oe)}else Nt=Oe,jt&&(jt=null);if(!n){let l;if(Nt.data){let u=[Nt.height,Nt.width,3];l=vh(Nt.data,u,"float32")}else if(typeof ImageData!="undefined"&&Nt instanceof ImageData)l=_s?_s.fromPixels(Nt):null;else if(t.backend==="webgl"||t.backend==="humangl"){let u=ds(a,o);u.width=a,u.height=o;let c=u.getContext("2d");c==null||c.drawImage(Nt,0,0);try{l=_s&&oe.browser?_s.fromPixels(u):null}ca
2021-03-10 00:32:35 +01:00
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2Q==`;async function wue(e){let t=(r,a="application/octet-stream")=>fetch(`data:${a};base64,${r}`).then(o=>o.blob()),n,s;switch(e.config.warmup){case"face":n=await t(j0);break;case"body":case"full":n=await t(q0);break;default:n=null}if(n){let r=await createImageBitmap(n);s=await e.detect(r,e.config),r.close()}return s}async function kue(e){return new Promise(t=>{let n;switch(e.config.warmup){case"face":n="data:image/jpeg;base64,"+j0;break;case"full":case"body":n="data:image/jpeg;base64,"+q0;break;default:n=null}let s;typeof Image!="undefined"?s=new Image:oe.Image&&(s=new oe.Image),s.onload=async()=>{let r=ds(s.naturalWidth,s.naturalHeight);if(!r)re("Warmup: Canvas not found"),t({});else{let a=r.getContext("2d");a&&a.drawImage(s,0,0);let o=await e.image(r),i=await e.detect(o.tensor,e.config);t(i)}},n?s.src=n:t(null)})}async function Iue(e){let t=r=>Buffer.from(r,"base64"),n;if(e.config.warmup==="face"&&(n=t(j0)),(e.config.warmup==="body"||e.config.warmup==="full")&&(n=t(q0)),!n)return null;let s;if(typeof void 0!="undefined"){let r=(void 0).decodeJpeg(n),a=r.expandDims(0);e.tf.dispose(r),s=await e.detect(a,e.config),e.tf.dispose(a)}else e.config.debug&&re("Warmup tfjs-node not loaded");return s}async function JI(e,t){let n=et();if(e.state="warmup",t&&(e.config=rn(e.config,t)),!e.config.warmup||e.config.warmup==="none")return{error:"null"};let s;return new Promise(async r=>{typeof createImageBitmap=="function"?s=await wue(e):typeof Image!="undefined"||oe.Canvas!==void 0?s=await kue(e):s=await Iue(e);let a=et();e.config.debug&&re("Warmup",e.config.warmup,Math.round(a-n),"ms"),e.emit("warmup"),r(s)})}var ju,ep,tp,X0,eS=class{constructor(t){Ne(this,"version");Ne(this,"config");Ne(this,"result");Ne(this,"state");Ne(this,"process");Ne(this,"tf");Ne(this,"env");Ne(this,"draw");Ne(this,"models");Ne(this,"events");Ne(this,"faceTriangulation");Ne(this,"faceUVMap");Ne(this,"performance");ac(this,ju,void 0);ac(this,ep,void 0);ac(this,tp,void 0);Ne(this,"gl");Ne(this,"analyze",(...t)=>{if(!rc(this,ep))return;let n=this.tf.engine().state.numTensors,s=rc(this,ju);oc(this,ju,n);let r=n-s;r!==0&&re(...t,r)});ac(this,X0,t=>{if(!rc(this,tp))return null;if(!t)return"input is not defined";if(this.env.node&&!(t instanceof He))return"input must be a tensor";try{this.tf.getBackend()}catch(n){return"backend not loaded"}return null});Ne(this,"emit",t=>{var n;return(n=this.events)==null?void 0:n.dispatchEvent(new Event(t))});E0(),this.env=oe,na.wasmPath=`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-backend-wasm@${kh}/dist/`,na.modelBasePath=this.env.browser?"../models/":"file://models/",na.backend=this.env.browser?"humangl":"tensorflow",this.version=Kx,Object.defineProperty(this,"version",{value:Kx}),this.config=JSON.parse(JSON.stringify(na)),Object.seal(this.config),t&&(this.config=rn(this.config,t)),this.tf=Ii,this.state="idle",oc(this,ju,0),oc(this,ep,!1),oc(this,tp,!1),this.performance={backend:0,load:0,image:0,frames:0,cached:0,changed:0,total:0,draw:0},this.events=new EventTarget,this.models=new Yd,this.draw={options:Kr,canvas:(n,s)=>XI(n,s),face:(n,s,r)=>Gx(n,s,r),body:(n,s,r)=>jx(n,s,r),hand:(n,s,r)=>qx(n,s,r),gesture:(n,s,r)=>Hx(n,s,r),object:(n,s,r)=>Xx(n,s,r),person:(n,s,r)=>qI(n,s,r),all:(n,s,r)=>KI(n,s,r)},this.result={face:[],body:[],hand:[],gesture:[],object:[],performance:{},timestamp:0,persons:[]},this.process={tensor:null,canvas:null},this.faceTriangulation=G8,this.faceUVMap=j8,this.gl=$t,this.emit("create")}reset(){let t=this.config.backend;this.config=JSON.parse(JSON.stringify(na)),this.config.backend=t}validate(t){return wg(na,t||this.config)}image(t){return zu(t,this.config)}similarity(t,n){return rx(t,n)}async segmentation(t,n){return zI(t,n,this.config)}enhance(t){return ax(t)}match(t,n,s=0){return K8(t,n,s)}async init(){await B0(this,!0),await this.tf.ready(),_8(this.env)}async load(t){this.state="load";let n=et(),s=Object.values(this.models).filter(o=>o).length;t&&(this.config=rn(this.config,t)),oe.initial&&(this.config.debug&&re(`version: ${this.version}`),this.config.debug&&re(`tfjs version: ${this.tf.version_core}`),a
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.
* =============================================================================
*/
2021-08-31 19:00:06 +02:00
/**
* @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.
* =============================================================================
*/
2021-04-28 14:58:21 +02:00
/** @license See the LICENSE file. */