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/ *
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Face - API
homepage : < https : //github.com/vladmandic/face-api>
author : < https : //github.com/vladmandic>'
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* /
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` ;return c[c.length-1]=" "+c[c.length-1]+"]"+(s?"":m),c}function ec(e){let t=[];for(let n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var Wt=class{constructor(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=ot(e),n!=null){let a=n.length;A(a===this.size,()=> ` Length of values '${a}' does not match the size inferred by the shape '${this.size}' . ` )}if(t==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||Sv(t,this.size),this.strides=Xl(e)}set(e,...t){t.length===0&&(t=[0]),A(t.length===this.rank,()=> ` The number of provided coordinates ( $ { t . length } ) must match the rank ( $ { this . rank } ) ` );let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r= ` Requested out of range element at $ { e } . Buffer shape = $ { this . shape } ` ;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;a<e.length-1;++a)n+=this.strides[a]*e[a];return this.values[n]}locToIndex(e){if(this.rank===0)return 0;if(this.rank===1)return e[0];let t=e[e.length-1];for(let n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t}indexToLoc(e){if(this.rank===0)return[];if(this.rank===1)return[e];let t=new Array(this.shape.length);for(let n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t}get rank(){return this.shape.length}toTensor(){return za().makeTensor(this.values,this.shape,this.dtype)}},za=null,Sl=null,MM=null;function OM(e){za=e}function PM(e){Sl=e}function LM(e){MM=e}var Ce=class{constructor(e,t,n,a){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=ot(e),this.strides=Xl(e),this.dataId=n,this.id=a,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){let e=await this.data();return Sl.buffer(this.shape,this.dtype,e)}bufferSync(){return Sl.buffer(this.shape,this.dtype,this.dataSync())}async array(){let e=await this.data();return El(this.shape,e,this.dtype==="complex64")}arraySync(){return El(this.shape,this.dataSync(),this.dtype==="complex64")}async data(){this.throwIfDisposed();let e=za().read(this.dataId);if(this.dtype==="string"){let t=await e;try{return t.map(n=>qh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),za().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=za().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>qh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await za().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(this.kerasMask&&this.kerasMask.dispose(),za().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Sl.print(this,e)}clone(){return this.throwIfDisposed(),Sl.clone(this)}toString(e=!1){let t=this.dataSync();return DM(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Sl.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),za().makeVariable(this,e,t,n)}};Object.defineProperty(Ce,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function Q(){return Cv("Tensor",()=>Ce)}Q();var os=class extends Ce{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error( ` dtype of the new value ( $ { e . dtype } ) and previous value ( $ { this . dtype } ) must match ` );if(!Ar(e.shape,this.shape))throw new Error( ` shape of the new value ( $ { e . shape } ) and previous value ( $ { this . shape } ) must match ` );za().disposeTensor(this),this.dataId=e.dataId,za().incRef(this,null)}dispose(){za().disposeVariabl
with dtype $ { s . dtype } . ` )}),n.length===1)return sr(n[0]);let a=n,r={axis:t};return P.runKernel(su,a,r)}var et=L({concat_:fP});function gP(e,t,n=!1,a=!1){let r=E(e,"a","matMul"),s=E(t,"b","matMul");[r,s]=_t(r,s);let i={a:r,b:s},o={transposeA:n,transposeB:a};return P.runKernel(Ri,i,o)}var $ e=L({matMul_:gP});function bP(e){let t={x:E(e,"x","sigmoid","float32")};return P.runKernel(Mo,t)}var ha=L({sigmoid_:bP});function yP(e,t,n){let a=E(e,"x","slice","string_or_numeric");if(a.rank===0)throw new Error("Slicing scalar is not possible");let r={x:a},s={begin:t,size:n};return P.runKernel(Bu,r,s)}var Ve=L({slice_:yP});function xP(e){let t={x:E(e,"x","tanh","float32")};return P.runKernel(Uo,t)}var cs=L({tanh_:xP});function vP(e,t,n,a,r,s){let i=E(e,"forgetBias","basicLSTMCell"),o=E(t,"lstmKernel","basicLSTMCell"),l=E(n,"lstmBias","basicLSTMCell"),u=E(a,"data","basicLSTMCell"),p=E(r,"c","basicLSTMCell"),d=E(s,"h","basicLSTMCell"),c=et([u,d],1),h= $ e(c,o),m=X(h,l),f=m.shape[0],g=m.shape[1]/4,b=[f,g],y=Ve(m,[0,0],b),x=Ve(m,[0,g],b),v=Ve(m,[0,g*2],b),I=Ve(m,[0,g*3],b),N=X(z(ha(y),cs(x)),z(p,ha(X(i,v)))),C=z(cs(N),ha(I));return[N,C]}var SN=L({basicLSTMCell_:vP});function wP(e,t,n){let a=E(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);A(a.rank>=1+t.length,()=> ` input rank is $ { a . rank } but should be > than blockShape . length $ { t . length } ` ),A(n.length===t.length,()=> ` crops . length is $ { n . length } but should be equal to blockShape . length $ { t . length } ` ),A(a.shape[0]%r===0,()=> ` input tensor batch is $ { a . shape [ 0 ] } but is not divisible by the product of the elements of blockShape $ { t . join ( " * " ) } === $ { r } ` );let s={x:a},i={blockShape:t,crops:n};return P.runKernel(nu,s,i)}var id=L({batchToSpaceND_:wP});function kP(e){let t;return e.rank===0||e.rank===1?t=W(e,[1,1,1,e.size]):e.rank===2?t=W(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function IP(e,t,n,a,r,s){s==null&&(s=.001);let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(n,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;a!=null&&(p=E(a,"offset","batchNorm")),A(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),A(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),A(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let d={x:kP(i),scale:u,offset:p,mean:o,variance:l},c={varianceEpsilon:s},h=P.runKernel(Ji,d,c);return W(h,i.shape)}var Ns=L({batchNorm_:IP});function SP(e,t,n,a,r,s){let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(n,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;return a!=null&&(p=E(a,"offset","batchNorm")),A(i.rank===2,()=> ` Error in batchNorm2D : x must be rank 2 but got rank $ { i . rank } . ` ),A(o.rank===2||o.rank===1,()=> ` Error in batchNorm2D : mean must be rank 2 or rank 1 but got rank $ { o . rank } . ` ),A(l.rank===2||l.rank===1,()=> ` Error in batchNorm2D : variance must be rank 2 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&A(u.rank===2||u.rank===1,()=> ` Error in batchNorm2D : scale must be rank 2 or rank 1 but got rank $ { u . rank } . ` ),p!=null&&A(p.rank===2||p.rank===1,()=> ` Error in batchNorm2D : offset must be rank 2 or rank 1 but got rank $ { p . rank } . ` ),Ns(i,o,l,p,u,s)}var qv=L({batchNorm2d_:SP});function NP(e,t,n,a,r,s){let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(n,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;return a!=null&&(p=E(a,"offset","batchNorm")),A(i.rank===3,()=> ` Error in batchNorm3D : x must be rank 3 but got rank $ { i . rank } . ` ),A(o.rank===3||o.rank===1,()=> ` Error in batchNorm3D : mean must be rank 3 or rank 1 but got rank $ { o . rank } . ` ),A(l.rank===3||l.rank===1,()=> ` Error in batchNorm3D : variance must be rank 3 or rank 1 but got rank $ { l . rank } . ` ),u!=null&&A(u.rank===3||u.rank===1,()=> ` Error in batchNorm3D : scale must be rank 3 or rank 1 but got rank $ { u . rank } . ` ),p!=null&&A(p.rank===3||p.rank===1,()=> ` Error in batchNorm3D : offset must be rank 3 or rank 1 but got rank $ { p . rank } . ` ),Ns(i,o,l,
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$ { r } and $ { t } for depthToSpace with input shape
$ { a . shape } ` ),A(s*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
$ { s } and $ { t } for depthToSpace with input shape
2024-09-10 17:30:23 +02:00
$ { a . shape } ` ),A(i%(t*t)===0,()=> ` Dimension size must be evenly divisible by $ { t * t } but is $ { i } for depthToSpace with input shape $ { a . shape } ` );let o={x:a},l={blockSize:t,dataFormat:n};return P.runKernel(pu,o,l)}var sw=L({depthToSpace_:XP});function YP(e,t,n,a,r="NHWC",s=[1,1],i){let o=E(e,"x","depthwiseConv2d","float32"),l=E(t,"filter","depthwiseConv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),A(u.rank===4,()=> ` Error in depthwiseConv2d : input must be rank 4 , but got rank $ { u . rank } . ` ),A(l.rank===4,()=> ` Error in depthwiseConv2d : filter must be rank 4 , but got rank $ { l . rank } . ` );let d=r==="NHWC"?u.shape[3]:u.shape[1];A(d===l.shape[2],()=> ` Error in depthwiseConv2d : number of input channels ( $ { d } ) must match the inChannels dimension in filter $ { l . shape [ 2 ] } . ` ),Tn("depthwiseConv2d",a,i);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=P.runKernel(Ui,c,h);return p?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Ts=L({depthwiseConv2d_:YP});function ZP(e){let t={x:E(e,"x","diag")};return P.runKernel(Lc,t)}var EN=L({diag_:ZP});function JP(e,t,n,a,r=[1,1],s="NHWC"){let i=E(e,"x","dilation2d"),o=E(t,"filter","dilation2d");A(i.rank===3||i.rank===4,()=> ` Error in dilation2d : input must be rank 3 or 4 , but got rank $ { i . rank } . ` ),A(o.rank===3,()=> ` Error in dilation2d : filter must be rank 3 , but got rank $ { o . rank } . ` ),A(s==="NHWC",()=> ` Error in dilation2d : Only NHWC is currently supported , but got dataFormat of $ { s } ` );let l=i,u=!1;i.rank===3&&(l=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=!0),A(l.shape[3]===o.shape[2],()=> ` Error in dilation2d : input and filter must have the same depth : $ { l . shape [ 3 ] } vs $ { o . shape [ 2 ] } ` );let p={x:l,filter:o},d={strides:n,pad:a,dilations:r},c=P.runKernel(Gi,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var iw=L({dilation2d_:JP}),Ju={};_e(Ju,{assertAndGetBroadcastShape:()=>ct,getBroadcastDims:()=>_N,getReductionAxes:()=>Bt});function _N(e,t){let n=e.length,a=[];for(let r=0;r<n;r++){let s=n-1-r,i=e[s]||1;(t[t.length-1-r]||1)>1&&i===1&&a.unshift(s)}return a}function Bt(e,t){let n=[];for(let a=0;a<t.length;a++){let r=e[e.length-a-1],s=t.length-a-1,i=t[s];(r==null||r===1&&i>1)&&n.unshift(s)}return n}function ct(e,t){let n=Math.max(e.length,t.length),a=new Array(n);for(let r=0;r<n;r++){let s=e[e.length-r-1];s==null&&(s=1);let i=t[t.length-r-1];if(i==null&&(i=1),s===1)a[n-r-1]=i;else if(i===1)a[n-r-1]=s;else if(s!==i){let o= ` Operands could not be broadcast together with shapes $ { e } and $ { t } . ` ;throw Error(o)}else a[n-r-1]=s}return a}function QP(e,t){let n=E(e,"a","equal","string_or_numeric"),a=E(t,"b","equal","string_or_numeric");[n,a]=_t(n,a),ct(n.shape,a.shape);let r={a:n,b:a};return P.runKernel(du,r)}var Jn=L({equal_:QP});function e3(e,t,n){let a=E(t,"a","where"),r=E(n,"b","where"),s=E(e,"condition","where","bool"),i=ct(ct(s.shape,a.shape),r.shape),o=ai(s,i),l=ai(a,i),u=ai(r,i),p={condition:o,t:l,e:u};return P.runKernel(Wu,p)}var nn=L({where_:e3});function t3(e){let t={x:E(e,"x","zerosLike")};return P.runKernel(Yu,t)}var qe=L({zerosLike_:t3});function n3(e,t){let n=E(e,"a","div"),a=E(t,"b","div");[n,a]=_t(n,a);let r=he(n,a),s=qe(r),i=Jn(a,s);return nn(i,s,r)}var ow=L({divNoNan_:n3});function a3(e,t){let n=E(e,"t1","dot"),a=E(t,"t2","dot");A((n.rank===1||n.rank===2)&&(a.rank===1||a.rank===2),()=> ` Error in dot : inputs must all be rank 1 or 2 , but got ranks $ { n . rank } and $ { a . rank } . ` );let r=n.rank===1?n.size:n.shape[1],s=a.rank===1?a.size:a.shape[0];if(A(r===s,()=> ` Error in dot : inner dimensions of inputs must match , but got $ { r } and $ { s } . ` ),n.rank===1&&a.rank===1){let i=W(n,[1,-1]),o=W(a,[-1,1]),l= $ e(i,o);return W(l,[])}else if(n.rank===1&&a.rank===2){let i=W(n,[1,-1]),o=W(a,[a.shape[0],a.shape[1]]),l= $ e(i,o);return W(l,[l.size])}else if(n.rank===2&&a.rank===1){let i=W(a,[-1,1]),o= $ e(n,i);return W(o,[o.size])}else{let i=W(a,[a.shape[0],a.shape[1]]);return $ e(n,i)}}var lw=L({dot_:a3});function r3(e,...t){let n=t.map((r,s)=>E(r, ` tensors$ { s } ` ,"einsum")),a={equation:e};return P.runKernel(Tm,n,a)}var Zs=L({einsum_:r3});function s3(e
rank $ { s . rank } . ` ),A( $ l(t),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { t } . ` );let i=s,o=!1;s.rank===3&&(o=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},u={depthRadius:t,bias:n,alpha:a,beta:r},p=P.runKernel(oo,l,u);return o?W(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var gw=L({localResponseNormalization_:R3});function M3(e){let t={x:E(e,"x","log","float32")};return P.runKernel(so,t)}var Qn=L({log_:M3});function O3(e){let t={x:E(e,"x","log1p")};return P.runKernel(io,t)}var pd=L({log1p_:O3});function P3(e){return A(ss(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let a=E(t,"x","tf.grad","string_or_numeric"),r=n!=null?E(n,"dy","tf.grad"):null;return P.tidy(()=>{let{value:s,grads:i}=P.gradients(()=>e(a),[a],r);return r!=null&&Nn(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Hm(i),i[0]})}}function L3(e){return A(ss(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{A(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of ` Tensor ` s or ` TensorLike ` s");let a=bc(t,"args","tf.grads","string_or_numeric"),r=n!=null?E(n,"dy","tf.grads"):null;return P.tidy(()=>{let{value:s,grads:i}=P.gradients(()=>e(...a),a,r);return r!=null&&Nn(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Hm(i),i})}}function z3(e){return A(ss(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{A(t instanceof Ce,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),A(n==null||n instanceof Ce,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:a,value:r}=P.gradients(()=>e(t),[t],n);return Hm(a),{grad:a[0],value:r}}}function W3(e){return A(ss(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{A(Array.isArray(t)&&t.every(r=>r instanceof Ce),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),A(n==null||n instanceof Ce,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let a=P.gradients(()=>e(...t),t,n);return n!=null&&Nn(a.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Hm(a.grads),a}}function ON(e,t){A(ss(e),()=>"The f passed in variableGrads(f) must be a function"),A(t==null||Array.isArray(t)&&t.every(u=>u instanceof os),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in P.registeredVariables)t.push(P.registeredVariables[u])}let a=n?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),A(t.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { r } variables is trainable . ` );let s=!0,{value:i,grads:o}=P.gradients(e,t,null,s);A(o.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()."),A(i.rank===0,()=> ` The f passed in variableGrads ( f ) must return a scalar , but it returned a rank - $ { i . rank } tensor ` );let l={};return t.forEach((u,p)=>{o[p]!=null&&(l[u.name]=o[p])}),a!=null&&a.forEach(u=>l[u.name]=null),{value:i,grads:l}}function pr(e){return P.customGrad(e)}function Hm(e){if(e.filter(t=>t==null).length>0)throw new Error( ` Cannot compute gradient of y = f ( x ) with respect to x . Make sure that
the f you passed encloses all operations that lead from x to y . ` )}function B3(e){let t={x:E(e,"x","neg")};return P.runKernel(Cu,t)}var yt=L({neg_:B3});function V3(e){let t={x:E(e,"x","softplus")};return P.runKernel(Oo,t)}var Go=L({softplus_:V3});function U3(e){let t=E(e,"x","logSigmoid");return pr(n=>({value:yt(Go(yt(n))),gradFunc:a=>z(a,ha(yt(n)))}))(t)}var bw=L({logSigmoid_:U3});function G3(e,t){let n=E(e,"a","sub"),a=E(t,"b","sub");[n,a]=_t(n,a);let r={a:n,b:a};return P.runKernel(Bo,r)}var pe=L({sub_:G3});function H3(e,t=-1){let n=E(e,"logits","logSoftmax");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error( ` Log Softmax along a non - last dimension is not yet supported . Logits was rank $ { n . rank } and axis was $ { t } ` );return pr((a,r)=>{let s=ma(a,t,!0),i=pe(a,s),o=pe(re(i,"float32"),Qn(fe(dn(i),t,!0)));return r([o]),{value:o,gradFunc:(l,u)=>{let[p]=u,d=!0,c=dn(p);return pe(l,z(fe(l,t,d),c))}}})(n)}var jm=L({logSoftmax_:H3});function j3(e,t=null,n=!1){let a=E(e,"x","logSumExp"),r=Aa(t,a.shape),s=ma(a,r,!0),i=pe(a,s),o=dn(i),l=fe(o,r),u=Qn(l),p=X(W(s,u.shape),u);if(n){let d=mi(p.shape,r);return W(p,d)}return p}var cd=L({logSumExp_:j3});function q3(e,t){let n=E(e,"a","logicalAnd","bool"),a=E(t,"b","logicalAnd","bool");ct(n.shape,a.shape);let r={a:n,b:a};return P.runKernel(wu,r)}var _a=L({logicalAnd_:q3});function K3(e){let t={x:E(e,"x","logicalNot","bool")};return P.runKernel(ku,t)}var dd=L({logicalNot_:K3});function X3(e,t){let n=E(e,"a","logicalOr","bool"),a=E(t,"b","logicalOr","bool");ct(n.shape,a.shape);let r={a:n,b:a};return P.runKernel(Iu,r)}var qm=L({logicalOr_:X3});function Y3(e,t){let n=E(e,"a","logicalXor","bool"),a=E(t,"b","logicalXor","bool");return ct(n.shape,a.shape),_a(qm(e,t),dd(_a(e,t)))}var yw=L({logicalXor_:Y3}),vh=2147483648;function Z3(e,t,n="left"){let a=E(e,"sortedSequence","searchSorted"),r=E(t,"values","searchSorted"),s=a.shape[a.shape.length-1],i=r.shape[r.shape.length-1],o=W(a,[-1,s]),l=W(r,[-1,i]);if(o.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(o.shape[0]!==l.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(ot(l.shape)>=vh)throw new Error( ` values tensor size must less than $ { vh } ` );if(o.shape[1]>=vh)throw new Error( ` trailing dim _size must less than $ { vh } for int32 output type , was $ { o . shape [ 1 ] } ` );let u={sortedSequence:o,values:l},p={side:n};return P.runKernel(zu,u,p)}var Km=L({searchSorted_:Z3});function PN(e,t){return Km(e,t,"left")}function J3(e,t,n,a,r){let s=E(e,"x","maxPool"),i=1,o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(o.rank===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { o . rank } . ` ),A(dr(n,i),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { n } and dilations '${i}' ` ),Tn("maxPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=P.runKernel(po,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Dt=L({maxPool_:J3});function Q3(e,t=[1,1,1],n,a,r,s="NDHWC"){let i=E(e,"x","maxPool3d"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(o.rank===5,()=> ` Error in maxPool3d : x must be rank 5 but got rank $ { o . rank } . ` ),A(s==="NDHWC",()=> ` Error in maxPool3d : Only NDHWC is currently supported , but got dataFormat of $ { s } ` ),Tn("maxPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=P.runKernel(Nu,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var xw=L({maxPool3d_:Q3});function eL(e,t,n,a,r=!1){let s={x:E(e,"x","maxPoolWithArgmax")},i={filterSize:t,strides:n,pad:a,includeBatchInIndex:r},o=P.runKernel(Vc,s,i);return{result:o[0],indexes:o[1]}}var LN=L({maxPoolWithArgmax_:eL});function tL(e,t){let n=E(e,"a","maximum"),a=E(t,"b","maximum");[n,a]=_t(n,a),n.dtype==="bool"&&(n=re(n,"int32"),a=re(a,"int32")),ct(n.shape,a.shape);let r={a:n,b:a};return P.runKernel(uo,r)}var hr=L({maximum_:tL});function nL(e,t=null,n=!1){let a={x:E(e,"x","mean")},r={axis:t,keepDims:n};return P.runKernel(co,a,r)}var Ct=L({mean_:nL});function It(e,t="float32"){
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Actual : $ { r } .
Expected : $ { s } . ` );for(let i=0;i<s.length;++i){let o=r[i],l=s[i];if(!n(o,l))throw new Error( ` Arrays differ : actual [ $ { i } ] = $ { o } , expected [ $ { i } ] = $ { l } .
Actual : $ { r } .
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Expected : $ { s } . ` )}typeof expect!="undefined"&&expect().nothing()}function AL(e,t){e().then(()=>t.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function FL(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Jr(e)||Jr(e[0])||Jr(t)||Jr(t[0])?Rx(e,n,(a,r)=>a==r):Rx(e,t,(a,r)=>Tw(a,r,0))}function $ L(e,t,n){if(n==null&&(n=Nw()),!Tw(e,t,n))throw new Error( ` Numbers differ : actual === $ { e } , expected === $ { t } ` );typeof expect!="undefined"&&expect().nothing()}function Tw(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function DL(e,t,n){for(let a=0;a<e.length;a++)if(e[a]<t||e[a]>n)throw new Error( ` Value out of range : $ { e [ a ] } low : $ { t } , high : $ { n } ` )}function RL(e,t){let n=new Float32Array(e),a=new Float32Array(t);if(n.length!==a.length)throw new Error( ` Expected ArrayBuffer to be of length $ { a . length } , but it was $ { n . length } ` );for(let r=0;r<a.length;r++)if(n[r]!==a[r])throw new Error( ` Expected ArrayBuffer value at $ { r } to be $ { a [ r ] } but got $ { n [ r ] } instead ` )}function QN(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?QN(n):e[t]=nd(n)}return e}function ML(e){let t=document.createElement("video");return"playsInline"in t&&(t.playsInline=!0),t.muted=!0,t.loop=!0,t.style.position="fixed",t.style.left="0px",t.style.top="0px",t.preload="auto",t.appendChild(e),new Promise(n=>{t.addEventListener("loadeddata",a=>n(t)),t.load()})}async function OL(e){await e.play(),"requestVideoFrameCallback"in e&&await new Promise(t=>{e.requestVideoFrameCallback(t)})}var Cw=class{constructor(e,t,n,a,r){this.mean=e,this.stdDev=t,this.dtype=n,this.nextVal=NaN,this.truncated=a,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);let s=r||Math.random();this.random=Sw.alea(s.toString())}nextValue(){if(!isNaN(this.nextVal)){let a=this.nextVal;return this.nextVal=NaN,a}let e,t,n=!1;for(;!n;){let a,r,s;do a=2*this.random()-1,r=2*this.random()-1,s=a*a+r*r;while(s>=1||s===0);let i=Math.sqrt(-2*Math.log(s)/s);e=this.mean+this.stdDev*a*i,t=this.mean+this.stdDev*r*i,(!this.truncated||this.isValidTruncated(e))&&(n=!0)}return(!this.truncated||this.isValidTruncated(t))&&(this.nextVal=this.convertValue(t)),this.convertValue(e)}convertValue(e){return this.dtype==null||this.dtype==="float32"?e:Math.round(e)}isValidTruncated(e){return e<=this.upper&&e>=this.lower}},PL=class{constructor(e,t,n,a){this.alpha=e,this.beta=1/t,this.dtype=n;let r=a||Math.random();this.randu=Sw.alea(r.toString()),this.randn=new Cw(0,1,n,!1,this.randu()),e<1?this.d=e+2/3:this.d=e-1/3,this.c=1/Math.sqrt(9*this.d)}nextValue(){let e,t,n,a,r,s;for(;;){do a=this.randn.nextValue(),s=1+this.c*a;while(s<=0);if(s*=s*s,e=a*a,t=1-.331*e*e,n=.5*e+this.d*(1-s+Math.log(s)),r=this.randu(),r<t||Math.log(r)<n)break}return s=1/this.beta*this.d*s,this.alpha<1&&(s*=Math.pow(this.randu(),1/this.alpha)),this.convertValue(s)}convertValue(e){return this.dtype==="float32"?e:Math.round(e)}},LL=class{constructor(e=0,t=1,n,a){if(this.canReturnFloat=()=>this.dtype==null||this.dtype==="float32",this.min=e,this.range=t-e,this.dtype=n,a==null&&(a=Math.random()),typeof a=="number"&&(a=a.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error( ` The difference between $ { e } - $ { t } <= 1 and dtype is not float ` );this.random=Sw.alea(a)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function zL(e,t,n=1,a="float32",r){if(na(e),n==null&&(n=1),a==null&&(a="float32"),a!=="float32"&&a!=="int32")throw new Error( ` Unsupported data type $ { a } ` );let s=new PL(t,n,a,r),i=Oe(e,a);for(let o=0;o<i.values.length;o++)i.values[o]=s.nextValue();return i.toTensor()}var eT=L({randomGamma_:zL});function WL(e,t=0,n=1,a,r){if(na(e),a!=null&&a==="bool")throw new Error( ` Unsupported data type $ { a } ` );let s=new Cw(t,n,a,!1,r),i=Oe(e,a);for(let o=0;o<i.values.length;o++)i.values[o]=s.nextValue();return i.toTensor()}var Xm=L({randomNormal_:WL});function BL(e,t,n){if(t!=null&&t==="bool")throw new Error( ` Unsupported data type $ { t } ` );return Xm(e,0,1,t,n)}va
$ { r . shape } ` );if(s.rank!==1)throw new Error( ` Values should be Tensor1D but received shape $ { s . shape } ` );if(i.rank!==1)throw new Error( ` Dense shape should be Tensor1D but received shape $ { i . shape } ` );if(o.rank!==0)throw new Error( ` Default value should be a scalar but received shape $ { o . shape } ` );let l={indices:r,values:s,denseShape:i,defaultValue:o},u=P.runKernel(Gc,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var lB=L({sparseFillEmptyRows_:oB});function uB(e,t,n){let a=E(e,"inputIndices","sparseReshape","int32"),r=E(t,"inputShape","sparseReshape","int32"),s=E(n,"newShape","sparseReshape","int32");if(a.rank!==2)throw new Error( ` Input indices should be Tensor2D but received shape
$ { a . shape } ` );if(r.rank!==1)throw new Error( ` Input shape should be Tensor1D but received shape $ { r . shape } ` );if(s.rank!==1)throw new Error( ` New shape should be Tensor1D but received shape $ { s . shape } ` );let i={inputIndices:a,inputShape:r,newShape:s},o=P.runKernel(Gu,i);return{outputIndices:o[0],outputShape:o[1]}}var pB=L({sparseReshape_:uB});function cB(e,t,n){let a=E(e,"data","sparseSegmentMean"),r=E(t,"indices","sparseSegmentMean","int32"),s=E(n,"segmentIds","sparseSegmentMean","int32");if(a.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(s.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
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$ { s . shape } ` );let i={data:a,indices:r,segmentIds:s};return P.runKernel(Hc,i)}var dB=L({sparseSegmentMean_:cB});function hB(e,t,n){let a=E(e,"data","sparseSegmentSum"),r=E(t,"indices","sparseSegmentSum","int32"),s=E(n,"segmentIds","sparseSegmentSum","int32");if(a.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(s.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
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$ { s . shape } ` );let i={data:a,indices:r,segmentIds:s};return P.runKernel(jc,i)}var mB=L({sparseSegmentSum_:hB});function fB(e,t,n,a,r,s,i,o){let l=E(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=E(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:n,nGramWidths:a,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},d={data:l,dataSplits:u},c=P.runKernel(Xc,d,p);return{nGrams:c[0],nGramsSplits:c[1]}}var gB=L({stringNGrams_:fB});function bB(e,t,n=!0){let a=E(e,"input","stringSplit","string"),r=E(t,"delimiter","stringSplit","string");if(a.rank!==1)throw new Error( ` Input should be Tensor1D but received shape $ { a . shape } ` );if(r.rank!==0)throw new Error( ` Delimiter should be a scalar but received shape $ { r . shape } ` );let s={skipEmpty:n},i={input:a,delimiter:r},o=P.runKernel(Yc,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var yB=L({stringSplit_:bB});function xB(e,t){let n=E(e,"input","stringToHashBucketFast","string"),a={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return P.runKernel(Zc,r,a)}var vB=L({stringToHashBucketFast_:xB});function wB(e,t,n,a=!0){let r=E(e,"input","staticRegexReplace","string"),s={pattern:t,rewrite:n,replaceGlobal:a};return P.runKernel(Kc,{x:r},s)}var kB=L({staticRegexReplace_:wB}),_T={fft:bd,ifft:Bl,rfft:yd,irfft:af},AT={hammingWindow:Yz,hannWindow:kT,frame:IT,stft:eW},Zn={flipLeftRight:rW,grayscaleToRGB:iW,resizeNearestNeighbor:ET,resizeBilinear:CT,rgbToGrayscale:lW,rotateWithOffset:pW,cropAndResize:nW,nonMaxSuppression:dW,nonMaxSuppressionAsync:vW,nonMaxSuppressionWithScore:kW,nonMaxSuppressionWithScoreAsync:SW,nonMaxSuppressionPadded:TW,nonMaxSuppressionPaddedAsync:EW,threshold:DW,transform:MW},Bw={bandPart:PW,gramSchmidt:zW,qr:BW},FT={absoluteDifference:GW,computeWeightedLoss:Dr,cosineDistance:jW,hingeLoss:KW,huberLoss:YW,logLoss:JW,meanSquaredError:eB,sigmoidCrossEntropy:aB,softmaxCrossEntropy:iB}, $ T={sparseFillEmptyRows:lB,sparseReshape:pB,sparseSegmentMean:dB,sparseSegmentSum:mB},DT={stringNGrams:gB,stringSplit:yB,stringToHashBucketFast:vB,staticRegexReplace:kB},ne={};_e(ne,{Serializable:()=>RT,SerializationMap:()=>MT,getRegisteredName:()=>SB,registerClass:()=>OT});var IB=new Map,Mx=new Map,RT=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},MT=class Tl{constructor(){this.classNameMap={}}static getMap(){return Tl.instance==null&&(Tl.instance=new Tl),Tl.instance}static register(t){Tl.getMap().classNameMap[t.className]=[t,t.fromConfig]}};function OT(e,t,n){A(e.className!=null,()=>"Class being registered does not have the static className property defined."),A(typeof e.className=="string",()=>"className is required to be a string, but got type "+typeof e.className),A(e.className.length>0,()=>"Class being registered has an empty-string as its className, which is disallowed."),typeof t=="undefined"&&(t="Custom"),typeof n=="undefined"&&(n=e.className);let a=n,r=t+">"+a;return MT.register(e),IB.set(r,e),Mx.set(e,r),e}function SB(e){return Mx.has(e)?Mx.get(e):e.className}var Rr=class extends RT{minimize(e,t=!1,n){let{value:a,grads:r}=this.computeGradients(e,n);if(n!=null){let s=n.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return Ee(r),t?a:(a.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return ON(e,t)}dispose(){this.iterations_!=null&&Ee(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:xe(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 extractI
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indices . shape [ 0 ] = $ { e } ` }function K4(e,t){return ` indices ( $ { e } , 0 ) is invalid : $ { t } < 0 ` }function X4(e,t,n){return ` indices ( $ { e } , 0 ) is invalid : $ { t } >= $ { n } ` }function Y4(e,t){return ` only one output dimension may be - 1 , not both $ { e } and $ { t } ` }function Z4(e,t){return ` size $ { e } must be non - negative , not $ { t } ` }function J4(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function Q4(e,t){let n=ot(e),a=ot(t);return ` Input to reshape is a SparseTensor with $ { n }
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2024-01-17 22:56:53 +01:00
1. The $ { a } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
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Got upper bound : $ { this . widthUpper } .
Got lower bound : $ { this . widthLower }
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` );if(n)if(MI.has(n))this.interpolation=n;else throw new V( ` Invalid interpolation parameter : $ { n } is not implemented ` )}getConfig(){let e={factor:this.factor,interpolation:this.interpolation},t=super.getConfig();return Object.assign(e,t),e}computeOutputShape(e){e=Je(e);let t=e[2];return[this.imgHeight,-1,t]}call(e,t){return O(()=>{let n=Te(e);this.imgHeight=n.shape[n.shape.length-3];let a=n.shape[n.shape.length-2];this.widthFactor=Es([1],1+this.widthLower,1+this.widthUpper,"float32",this.randomGenerator.next());let r=this.widthFactor.dataSync()[0]*a;r=Math.round(r);let s=[this.imgHeight,r];switch(this.interpolation){case"bilinear":return Zn.resizeBilinear(e,s);case"nearest":return Zn.resizeNearestNeighbor(e,s);default:throw new Error( ` Interpolation is $ { this . interpolation }
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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),Ca(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,Ht(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,a)=>this.write(n,t[a]))}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 a=0;a<this.size();a++)e.push(a)}if(e.length===0)return bn([],[0].concat(this.elementShape));let n=this.readMany(e);return Ca(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),At(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 bn([],[0].concat(this.elementShape));let t=[];for(let a=0;a<this.size();a++)t.push(a);let n=this.readMany(t);return Ca(this.elementShape,n[0].shape, ` TensorArray shape mismatch : tensor array shape ( $ { this . elementShape } ) vs first tensor shape ( $ { n [ 0 ] . shape } ) ` ),et(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,dt(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,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error( ` Expected sum of lengths to be equal to
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$ { 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,s=[];O(()=>{t=W(t,[1,n,r]);for(let o=0;o<e.length;++o){let l=[0,o===0?0:a[o-1],0],u=[1,e[o],r];s[o]=W(Ve(t,l,u),this.elementShape)}return s});let i=[];for(let o=0;o<e.length;o++)i[o]=o;this.writeMany(i,s)}},Lf=class iv{get id(){return this.idTensor.id}constructor(t,n,a,r=-1){this.tensors=t,this.elementShape=n,this.elementDtype=a,t!=null&&t.forEach(s=>{if(a!==s.dtype)throw new Error( ` Invalid data types ; op elements $ { a } , but list elements $ { s . dtype } ` );Ca(n,s.shape,"TensorList shape mismatch: "),Ht(s)}),this.idTensor=xe(0),this.maxNumElements=r,Ht(this.idTensor)}copy(){return new iv([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(n=>{(t==null||!t.has(n.id))&&n.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,n,a=-1){if(n!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { this . elementDtype } ` );if(a!==-1&&this.tensors.length!==a)throw new Error( ` Operation expected a list with $ { a } elements but got a list with $ { this . tensors . length } elements . ` );Ca(t,this.elementShape,"TensorList shape mismatch: ");let r=Zp(this.elementShape,this.tensors,t);return O(()=>{let s=this.tensors.map(i=>W(i,r));return At(s,0)})}popBack(t,n){if(n!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { this . elementDtype } ` );if(this.size()===0)throw new Error("Trying to pop from an empty list.");let a=Zp(this.elementShape,this.tensors,t),r=this.tensors.pop();return r.kept=!1,Ca(r.shape,t,"TensorList shape mismatch: "),W(r,a)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t . dtype } , but list elements $ { this . elementDtype } ` );if(Ca(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Ht(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error( ` TensorListResize expects size to be non - negative . Got : $ { t } ` );if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error( ` TensorListResize input size $ { t } is greater maxNumElement $ { this . maxNumElements } . ` );let n=new iv([],this.elementShape,this.elementDtype,this.maxNumElements);n.tensors.length=t;for(let a=0;a<Math.min(this.tensors.length,t);++a)n.tensors[a]=this.tensors[a];return n}getItem(t,n,a){if(a!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { a } , but list elements $ { this . elementDtype } ` );if(t<0||t>this.tensors.length)throw new Error( ` Trying to access element $ { t } in a list with $ { this . tensors . length } elements . ` );if(this.tensors[t]==null)throw new Error( ` element at index $ { t } is null . ` );Ca(this.tensors[t].shape,n,"TensorList shape mismatch: ");let r=Zp(this.elementShape,this.tensors,n);return W(this.tensors[t],r)}setItem(t,n){if(n.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { n . dtype } , but list elements $ { this . elementDtype } ` );if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error( ` Trying to set element $ { t } in a list with max $ { this . maxNumElements } elements . ` );Ca(this.elementShape,n.shape,"TensorList shape mismatch: "),Ht(n),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=n}gather(t,n,a){if(n!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { this . elementDtype } ` );Ca(this.elementShape,a,"TensorList shape mismatch: "),t=t.slice(0,this.size());let r=Zp(this.elementShape,this.tensors,a);return t.length===0?bn([],[0].concat(r)):O(()=>{let s=t.map(i=>W(this.tensors[i],r));return At(s,0)})}concat(t,n){if(t&&t!==this.elementDtype)throw new Error( ` TensorList dtype is $ { this . elementDtype } but concat requested dtype $ { t } ` );Ca(this.elementShape,n,"TensorList shape mismatch: ");let a=Zp(th
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tensor . shape [ 0 ] , but sum of lengths is
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$ { e } ` );let a;return this.size===1/0||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),Kn(async()=>(await n.iterator()).columnMajorBatch(e,t,X5),a)}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,Kn(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,Kn(async()=>(await t.iterator()).filter(a=>O(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return Kn(async()=>(await t.iterator()).map(n=>O(()=>e(n))),this.size)}mapAsync(e){let t=this;return Kn(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 Kn(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,Kn(async()=>{let a= $ 1(async()=>({value:await t.iterator(),done:!1}));return D5(a.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,Kn(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 a = this , r = N5 . alea ( t || w . now ( ) . toString ( ) ) ; return Kn ( async ( ) => { let s = r . int32 ( ) ; return n && ( s += r . int32 ( ) ) , ( await a . iterator ( ) ) . shuffle ( e , s . toString ( ) ) } , this . size ) } take ( e ) { let t = this , n ; return this . size != null && this . size > e ? n = e : this . size != null && this . size <= e ? n = this . size : n = null , Kn ( 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 ( ) } } ; ip . MAX _BUFFER _SIZE = 1e4 ; function Kn ( e , t = null ) { return new class extends ip { constructor ( ) { super ( ... arguments ) , this . size = t } async iterator ( ) { return e ( ) } } } function q5 ( e ) { return Kn ( async ( ) => fE ( e ) , e . length ) } function K5 ( e ) { if ( ! Hl ( 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 Kn ( async ( ) => { let n = await cE ( e , a => { if ( a instanceof ip ) return { value : a . iterator ( ) , recurse : ! 1 } ; if ( Hl ( a ) ) return { value : null , recurse : ! 0 } ; throw new Error ( "Leaves of the structure passed to zip() must be Datasets, not primitives." ) } ) ; return R5 ( n , es . SHORTEST ) } , t ) } function X5 ( e ) { if ( e === null ) return null ; let t = e [ 0 ] ; return _5 ( t ) ? { value : Y5 ( e ) , recurse : ! 1 } : { value : null , recurse : ! 0 } } function Y5 ( e ) { if ( e . length === 0 ) throw new Error ( "Can't make a batch of zero elements." ) ; return e [ 0 ] instanceof Ce ? At ( e ) : bn ( e ) } var yE = class extends ip { constructor ( e ) { super ( ) , this . input = e } async iterator ( ) { return ( await this . input . iterator ( ) ) . decodeUTF8 ( ) . split ( `
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=== === === === === === === === === =
Hi , looks like you are running TensorFlow . js in Node . js . To speed things up dramatically , install our node backend , visit https : //github.com/tensorflow/tfjs-node for more details.
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=== === === === === === === === === = ` ));let r={id:this.nextDataId()};return this.data.set(r,{values:t,dtype:a,refCount:1}),r}makeTensorInfo(t,n,a){let r;if(n==="string"&&a!=null&&a.length>0&&w.isString(a[0])){let s=a.map(i=>w.encodeString(i));r=this.write(s,t,n)}else r=this.write(a,t,n);return{dataId:r,shape:t,dtype:n}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){let n=this.data.get(t);n.refCount++}decRef(t){if(this.data.has(t)){let n=this.data.get(t);n.refCount--}}move(t,n,a,r,s){this.data.set(t,{values:n,dtype:r,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){let{dtype:n,complexTensorInfos:a}=this.data.get(t);if(n==="complex64"){let r=this.readSync(a.real.dataId),s=this.readSync(a.imag.dataId);return T.mergeRealAndImagArrays(r,s)}return w.convertBackendValuesAndArrayBuffer(this.data.get(t).values,n)}bufferSync(t){let n=this.readSync(t.dataId);if(t.dtype==="string")try{let a=n.map(r=>w.decodeString(r));return Oe(t.shape,t.dtype,a)}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return Oe(t.shape,t.dtype,n)}makeOutput(t,n,a){return Ta().makeTensorFromTensorInfo(this.makeTensorInfo(n,a,t),this)}disposeData(t,n=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!n&&this.data.get(t).refCount>0)return!1;let{complexTensorInfos:a}=this.data.get(t);a!=null&&(this.disposeData(a.real.dataId,!0),this.disposeData(a.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){let n=w.now();return t(),{kernelMs:w.now()-n}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(t){ge([t],"where");let n=this.readSync(t.dataId);return d8(t.shape,n)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};R1.nextDataId=0;var M1={};_e(M1,{addImpl:()=>FE,bincountImpl:()=>P1,bincountReduceImpl:()=> $ E,bitwiseAndImpl:()=>DE,castImpl:()=>AE,ceilImpl:()=>RE,concatImpl:()=>L1,equalImpl:()=>ME,expImpl:()=>PE,expm1Impl:()=>zE,floorDivImpl:()=>BE,floorImpl:()=>WE,gatherNdImpl:()=>VE,gatherV2Impl:()=>UE,greaterEqualImpl:()=>HE,greaterImpl:()=>GE,lessEqualImpl:()=>qE,lessImpl:()=>jE,linSpaceImpl:()=>KE,logImpl:()=>XE,maxImpl:()=>YE,maximumImpl:()=>ZE,minimumImpl:()=>JE,multiplyImpl:()=>z1,negImpl:()=>QE,notEqualImpl:()=>e_,prodImpl:()=>t_,raggedGatherImpl:()=>n_,raggedRangeImpl:()=>a_,raggedTensorToTensorImpl:()=>r_,rangeImpl:()=>B1,rsqrtImpl:()=>s_,scatterImpl:()=>ni,sigmoidImpl:()=>cK,simpleAbsImpl:()=>_E,sliceImpl:()=>um,sparseFillEmptyRowsImpl:()=>o_,sparseReshapeImpl:()=>l_,sparseSegmentReductionImpl:()=>V1,sqrtImpl:()=>mK,squaredDifferenceImpl:()=>u_,staticRegexReplaceImpl:()=>p_,stridedSliceImpl:()=>c_,stringNGramsImpl:()=>U1,stringSplitImpl:()=>G1,stringToHashBucketFastImpl:()=>H1,subImpl:()=>d_,tileImpl:()=>h_,topKImpl:()=>f_,transposeImpl:()=>W1,uniqueImpl:()=>q1});function _E(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var h8=e=>{let{x:t}=e.inputs,n=e.backend;ge(t,"abs");let a=new Float32Array(w.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return a=_E(r),n.makeOutput(a,t.shape,t.dtype)},m8={kernelName:Yl,backendName:"cpu",kernelFunc:h8};function Mt(e){return(t,n,a,r,s)=>{let i=T.assertAndGetBroadcastShape(t,n),o=i.length,l=w.computeStrides(i),u=w.sizeFromShape(i),p=w.getTypedArrayFromDType(s,u),d=t.length,c=n.length,h=w.computeStrides(t),m=w.computeStrides(n),f=T.getBroadcastDims(t,i),g=T.getBroadcastDims(n,i);if(f.length+g.length===0)for(let b=0;b<p.length;++b)p[b]=e(a[b%a.length],r[b%r.length]);else for(let b=0;b<p.length;++b){let y=w.indexToLoc(b,o,l),x=y.slice(-d);f.forEach(C=>x[C]=0);let v=w.locToIndex(x,d,h),I=y.slice(-c);g.forEach(C=>I[C]=0);let N=w.locToIndex(I,c,m);p[b]=e(a[v],r[N])}return[p,i]}}function Yn(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=n.makeTensorInfo(a.shape,"complex64"),l=n.data.get(o.dataId);return l.
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$ { s . shape } ` );if(a.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { a . shape } ` );if(r.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { r . shape } ` );if(i.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
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$ { i . shape } ` );let o=n.data.get(a.dataId).values,l=n.data.get(r.dataId).values,u=n.data.get(s.dataId).values,p=n.data.get(i.dataId).values[0],[d,c,h,m,f]=o_(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var YZ={kernelName:Gc,backendName:"cpu",kernelFunc:XZ};function ZZ(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape
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$ { a . shape } ` );if(r.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape
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$ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let i=Array.from(n.data.get(r.dataId).values),o=n.data.get(a.dataId).values,l=Array.from(n.data.get(s.dataId).values),[u,p,d]=l_(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var JZ={kernelName:Gu,backendName:"cpu",kernelFunc:ZZ};function QZ(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.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
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$ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { s . shape } ` );if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=V1(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var eJ={kernelName:Hc,backendName:"cpu",kernelFunc:QZ};function tJ(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.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
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$ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { s . shape } ` );if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=V1(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var nJ={kernelName:jc,backendName:"cpu",kernelFunc:tJ};function aJ(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=T.calculateShapes(s,r,o),h=!1,m=n.bufferSync(r),f;switch(s.dtype){case"bool":{let g=n.bufferSync(s),b=!!n.data.get(i.dataId).values[0];f=ni(m,g,o,c,p,u,l,d,b,h);break}case"float32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=ni(m,g,o,c,p,u,l,d,b,h);break}case"int32":{let g=n.bufferSync(s),b=n.data.get(i.dataId).values[0];f=ni(m,g,o,c,p,u,l,d,b,h);break}case"string":{let g=n.bufferSync(s),b=w.decodeString(n.data.get(i.dataId).values[0]);f=ni(m,g,o,c,p,u,l,d,b,h);break}default:throw new Error( ` Unsupported type $ { s . dtype } ` )}return n.makeTensorInfo(o,f.dtype,f.values)}var rJ={kernelName:Hu,backendName:"cpu",kernelFunc:aJ};function sJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=w.parseAxisParam(i,r.shape)[0],l=T.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=xi({inputs:{x:r},backend:n,attrs:{begin:u,size:c}});return u[o]+=d,h})}var iJ={kernelName:Uu,backendName:"cpu",kernelFunc:sJ},oJ={kernelName:qc,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,a=t;ge(n,"square");let r=a.data.get(n.dataId).values,s=new Float32Array(r.length);for(let i=0;i<r.length;++i){let o=r[i];s[i]=o*o}return{dataId:a.write(s,n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}},lJ=lt(Is,(e,t)=>{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),uJ={kernelName:Is,backendName:"cpu",kernelFunc:lJ};function pJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a;ge(r,"stridedSlice");let{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:v}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=xt({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){w.assert(r.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { r . shape . length } ` );let N=Kt.computeOutShape(y,x,v),C=xi({inputs:{x:r},backend:n,attrs:{begin:y,size:N}});I=xt({inputs:{x:C},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(C)}else{let N=n.bufferSync(r),C=c_(h,N,v,y);I=n.makeTensorInfo(m,C.dtype,C.values)}return I}var cJ={kernelName:ju,backendName:"cpu",kernelFunc:pJ};function dJ(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.data.get(p.dataId).values,h=n.data.get(d.dataId).values,[m,f]=U1(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var hJ={kernelName:Xc,backendName:"cpu",kernelFunc:dJ};function mJ(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error( ` Input must be a vector , got shape : $ { s . shape } ` );if(i.shape.length!==0)throw new Error( ` Delimiter must be a scalar , got shape : $ { i . shape } ` );let o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values[0],[u,p,d]=G1(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var fJ={kernelName:Yc,backendName:"cpu",kernelFunc:mJ};function gJ(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.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 i=n.data.get(s.dataId).values,o=H1(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var bJ={kernelName:Zc,backendName:"cpu",kernelFunc:gJ},yJ=lt(Vo,e=>Math.tan(e)),xJ={kernel
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` ),s=r.length.toString().length+2,i=r.map((d,c)=>w.rightPad((c+1).toString(),s)+d),o=0;for(let d=0;d<i.length;d++)o=Math.max(i[d].length,o);let l=i.slice(0,a-1),u=i.slice(a-1,a),p=i.slice(a);console.log(l.join( `
` )),console.log(t.split( `
` )[0]),console.log( ` % c $ { w . rightPad ( u [ 0 ] , o ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(p.join( `
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` ))}function L_(e){return Or(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function z_(e,t){if(de(e,()=>e.linkProgram(t)),!G().get("ENGINE_COMPILE_ONLY")&&e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function Oh(e,t){if(de(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function W_(e,t){let n=Or(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return de(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),de(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function B_(e,t){let n=Or(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return de(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),de(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function ZJ(){return G().getNumber("WEBGL_VERSION")===2?1:4}function V_(e){return Or(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function U_(e,t){let n=G().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let a= ` [ $ { e } x$ { t } ] ` ;throw new Error("Requested texture size "+a+" is invalid.")}if(e>n||t>n){let a= ` [ $ { e } x$ { t } ] ` ,r= ` [ $ { n } x$ { n } ] ` ;throw new Error("Requested texture size "+a+" greater than WebGL maximum on this browser / GPU "+r+".")}}function G_(e){return Or(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function pv(e,t,n,a,r,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(de(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),de(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),de(e,()=>e.enableVertexAttribArray(o)),!0)}function H_(e,t,n){Y_(e,n),de(e,()=>e.activeTexture(e.TEXTURE0+n)),de(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function JJ(e,t){Y_(e,t),de(e,()=>e.activeTexture(e.TEXTURE0+t)),de(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function j_(e,t,n){return Or(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function q_(e,t,n){return e.getUniformLocation(t,n)}function K_(e,t,n,a){de(e,()=>H_(e,t,a)),de(e,()=>e.uniform1i(n,a))}function QJ(e){de(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),de(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),de(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function Ph(e,t,n){de(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),de(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function cv(e,t){de(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),de(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function sc(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+X_(e,t))}function X_(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 Or(e,t,n){let a=de(e,()=>t());if(a==null)throw new Error(n);return a}function Y_(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,a=t+e.TEXTURE0;if(a<e.TEXTURE0||a>n){let r= ` [ gl . TEXTURE0 , gl . TEXTURE$ { n } ] ` ;throw new Error( ` textureUnit must be in $ { r } . ` )}}function vi(e,t=2){return w.sizeFromShape(e.slice(0,e.length-t))}function wi(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 ic(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[vi(e),...wi(e)]),t}function Z_(e,t=!1){let n=G().getNumber("WEBGL_MAX_TEXTURE_SIZE"),a=G().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");a===1/0&&G().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(a=n/2),t&&(n=n*2,a=a*2,e=e.map((o,l)=>l>=e.length-2?w.nearestLargerEven(e[l]):e[l]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=w.squeezeShape(e).newShape);let r=w.sizeFromShape(e),s=null;e.length<=1&&r<=n?s=[1,r]:e.length===2&&e[0]<=n&&e[1]
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bool isnan _custom ( float val ) {
uint floatToUint = floatBitsToUint ( val ) ;
return ( floatToUint & 0x7fffffff u ) > 0x7f800000 u ;
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}
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bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan _custom ( val . x ) ,
isnan _custom ( val . y ) , isnan _custom ( val . z ) , isnan _custom ( val . w ) ) ;
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}
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# define isnan ( value ) isnan _custom ( value )
` :"",l="",u= `
# define round ( value ) newRound ( value )
int newRound ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
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}
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ivec4 newRound ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
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}
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` ):(e="",t="attribute",n="varying",a="varying",r="texture2D",s="gl_FragColor",i="",o= `
# define isnan ( value ) isnan _custom ( value )
bool isnan _custom ( float val ) {
return ( val > 0. || val < 1. || val == 0. ) ? false : true ;
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}
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bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan ( val . x ) , isnan ( val . y ) , isnan ( val . z ) , isnan ( val . w ) ) ;
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}
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` ,l= `
uniform float INFINITY ;
bool isinf ( float val ) {
return abs ( val ) == INFINITY ;
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}
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bvec4 isinf ( vec4 val ) {
return equal ( abs ( val ) , vec4 ( INFINITY ) ) ;
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}
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` ,u= `
int round ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
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}
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ivec4 round ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
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}
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` ),{version:e,attribute:t,varyingVs:n,varyingFs:a,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function Zo(e,t,n="index"){let a=w.computeStrides(t);return a.map((r,s)=>{let i= ` int $ { e [ s ] } = $ { n } / $ { r } ` ,o=s===a.length-1? ` int $ { e [ s + 1 ] } = $ { n } - $ { e [ s ] } * $ { r } ` : ` index -= $ { e [ s ] } * $ { r } ` ;return ` $ { i } ; $ { o } ; ` }).join("")}function Wf(e,t,n="index"){let a=w.computeStrides(t);return a.map((r,s)=>{let i= ` int $ { e [ s ] } = $ { n } / outShapeStrides [ $ { s } ] ` ,o=s===a.length-1? ` int $ { e [ s + 1 ] } = $ { n } - $ { e [ s ] } * outShapeStrides [ $ { s } ] ` : ` index -= $ { e [ s ] } * outShapeStrides [ $ { s } ] ` ;return ` $ { i } ; $ { o } ; ` }).join("")}function a9(e,t){let n=e.length,a=e.map(s=> ` $ { t } [ $ { s } ] ` ),r=new Array(n-1);r[n-2]=a[n-1];for(let s=n-3;s>=0;--s)r[s]= ` ( $ { r [ s + 1 ] } * $ { a [ s + 1 ] } ) ` ;return r}function r9(e,t,n="index"){let a=e.map((s,i)=>i),r=a9(a,t);return r.map((s,i)=>{let o= ` int $ { e [ i ] } = $ { n } / $ { r [ i ] } ` ,l=i===r.length-1? ` int $ { e [ i + 1 ] } = $ { n } - $ { e [ i ] } * $ { r [ i ] } ` : ` index -= $ { e [ i ] } * $ { r [ i ] } ` ;return ` $ { o } ; $ { l } ; ` }).join("")}function Q1(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 ;
}
` }function ek(){return `
int getFlatIndex ( ivec3 coords ) {
return coords . x * outShapeStrides [ 0 ] + coords . y * outShapeStrides [ 1 ] + coords . z ;
}
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` }var rA= `
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const float FLOAT _MAX = 1.70141184 e38 ;
const float FLOAT _MIN = 1.17549435 e - 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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` ,{getBroadcastDims:sA}=T;function s9(e,t,n){let a=[];if(e.forEach(c=>{let h=w.sizeFromShape(c.shapeInfo.logicalShape);if(c.shapeInfo.isUniform?a.push( ` uniform float $ { c . name } $ { h > 1 ? ` [ ${ h } ] ` : "" } ; ` ):(a.push( ` uniform sampler2D $ { c . name } ; ` ),a.push( ` uniform int offset$ { c . name } ; ` )),n.enableShapeUniforms){let{uniformShape:m}=tk(n.packedInputs,c.shapeInfo.logicalShape,c.shapeInfo.texShape);switch(m.length){case 1:a.push( ` uniform int $ { c . name } Shape ; ` );break;case 2:a.push( ` uniform ivec2 $ { c . name } Shape ; ` );break;case 3:a.push( ` uniform ivec3 $ { c . name } Shape ; ` );break;case 4:a.push( ` uniform ivec4 $ { c . name } Shape ; ` );break;default:break}a.push( ` uniform ivec2 $ { c . name } TexShape ; ` )}}),n.enableShapeUniforms){switch(t.logicalShape.length){case 1:a.push("uniform int outShape;");break;case 2:a.push("uniform ivec2 outShape;"),a.push("uniform int outShapeStrides;");break;case 3:a.push("uniform ivec3 outShape;"),a.push("uniform ivec2 outShapeStrides;");break;case 4:a.push("uniform ivec4 outShape;"),a.push("uniform ivec3 outShapeStrides;");break;default:break}a.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach(c=>{a.push( ` uniform $ { c . type } $ { c . name } $ { c . arrayIndex ? ` [ ${ c . arrayIndex } ] ` : "" } ; ` )});let r=a.join( `
` ),s=e.map(c=>i9(c,t,n.packedInputs,n.enableShapeUniforms)).join( `
` ),i=t.texShape,o=En(),l=u9(o),u,p,d=d9(o);return t.isPacked?(u=o9(t.logicalShape,i,n.enableShapeUniforms),p=c9(o)):(u=l9(t.logicalShape,i,n.enableShapeUniforms),p=p9(o)),n.packedInputs&&(d+=g9),[d,l,p,r,u,s,n.userCode].join( `
` )}function up(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return E9(e,t);case 1:return A9(e,t);case 2:return $ 9(e,t);case 3:return R9(e,t);case 4:return O9(e,t);case 5:return P9(e);case 6:return L9(e);default:throw new Error( ` $ { n . length } - D input sampling is not yet supported ` )}}function iA(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return C9(e);case 1:return _9(e,t);case 2:return F9(e,t);case 3:return D9(e,t);default:return M9(e,t)}}function i9(e,t,n=!1,a){let r="";n?r+=iA(e,a):r+=up(e,a);let s=e.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(n?r+=z9(e,t):r+=W9(e,t)),r}function o9(e,t,n){switch(e.length){case 0:return oA();case 1:return b9(e,t,n);case 2:return N9(e,t,n);case 3:return x9(e,t,n);default:return w9(e,t,n)}}function l9(e,t,n){switch(e.length){case 0:return oA();case 1:return y9(e,t,n);case 2:return T9(e,t,n);case 3:return v9(e,t,n);case 4:return k9(e,t,n);case 5:return I9(e,t);case 6:return S9(e,t);default:throw new Error( ` $ { e . length } - D output sampling is not yet supported ` )}}function u9(e){return `
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float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
return $ { e . texture2D } ( textureSampler , uv ) . r ;
}
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` }function p9(e){return `
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void setOutput ( float val ) {
$ { e . output } = vec4 ( val , 0 , 0 , 0 ) ;
}
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` }function c9(e){return `
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void setOutput ( vec4 val ) {
$ { e . output } = val ;
}
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` }function d9(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 ) ;
struct ivec5
{
int x ;
int y ;
int z ;
int w ;
int u ;
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} ;
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struct ivec6
{
int x ;
int y ;
int z ;
int w ;
int u ;
int v ;
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} ;
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uniform float NAN ;
$ { e . defineSpecialNaN }
$ { e . defineSpecialInf }
$ { e . defineRound }
int imod ( int x , int y ) {
return x - y * ( x / y ) ;
}
int idiv ( int a , int b , float sign ) {
int res = a / b ;
int mod = imod ( a , b ) ;
if ( sign < 0. && mod != 0 ) {
res -= 1 ;
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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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$ { h9 }
$ { m9 }
$ { f9 }
` }var h9= `
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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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` ,m9= `
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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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` ,f9= `
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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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` ,g9= `
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float getChannel ( vec4 frag , vec2 innerDims ) {
vec2 modCoord = mod ( innerDims , 2. ) ;
return modCoord . x == 0. ?
( modCoord . y == 0. ? frag . r : frag . g ) :
( modCoord . y == 0. ? frag . b : frag . a ) ;
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}
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float getChannel ( vec4 frag , int dim ) {
float modCoord = mod ( float ( dim ) , 2. ) ;
return modCoord == 0. ? frag . r : frag . g ;
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}
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` ;function oA(){return `
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int getOutputCoords ( ) {
return 0 ;
}
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` }function b9(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return a[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 ( ) {
return 2 * int ( resultUV . x * $ { a [ 1 ] } . 0 ) ;
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}
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` :a[1]===1?n? `
int getOutputCoords ( ) {
return 2 * int ( resultUV . y * ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) ) ;
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}
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` : `
int getOutputCoords ( ) {
return 2 * int ( resultUV . y * $ { a [ 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 *
vec2 ( $ { a [ 0 ] } , $ { a [ 1 ] } ) ) ;
return 2 * ( resTexRC . x * $ { a [ 1 ] } + resTexRC . y ) ;
}
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` }function y9(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 ;
}
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
return resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
}
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` }function x9(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 ) ;
}
` ;let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),s=r*Math.ceil(e[1]/2);return `
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { a [ 0 ] } , $ { a [ 1 ] } ) ) ;
int index = resTexRC . x * $ { a [ 1 ] } + resTexRC . y ;
int b = index / $ { s } ;
index -= b * $ { s } ;
int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
return ivec3 ( b , r , c ) ;
}
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` }function v9(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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$ { Wf ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
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}
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` ;let a=Zo(["r","c","d"],e);return `
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { a }
return ivec3 ( r , c , d ) ;
}
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` }function w9(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 ) ;
}
` ;let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),s=r*Math.ceil(e[e.length-2]/2),i=s,o="",l="b, r, c";for(let u=2;u<e.length-1;u++)i*=e[e.length-u-1],o= `
int b$ { u } = index / $ { i } ;
index -= b$ { u } * $ { i } ;
` +o,l= ` b$ { u } , ` +l;return `
ivec$ { e . length } getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { a [ 0 ] } , $ { a [ 1 ] } ) ) ;
int index = resTexRC . x * $ { a [ 1 ] } + resTexRC . y ;
$ { o }
int b = index / $ { s } ;
index -= b * $ { s } ;
int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
return ivec$ { e . length } ( $ { l } ) ;
}
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` }function k9(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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$ { Wf ( [ "r" , "c" , "d" , "d2" ] , e ) }
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return ivec4 ( r , c , d , d2 ) ;
}
` ;let a=Zo(["r","c","d","d2"],e);return `
ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { a }
return ivec4 ( r , c , d , d2 ) ;
}
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` }function I9(e,t){let n=Zo(["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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` }function S9(e,t){let n=Zo(["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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` }function N9(e,t,n){let a=[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 ] ) ) ;
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}
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` : `
ivec2 getOutputCoords ( ) {
return 2 * ivec2 ( resultUV . yx * vec2 ( $ { a [ 0 ] } , $ { a [ 1 ] } ) ) ;
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}
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` ;let r=Math.ceil(e[1]/2);return n? `
ivec2 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
int texelsInLogicalRow = int ( ceil ( float ( outShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
int index = resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ;
int r = 2 * ( index / texelsInLogicalRow ) ;
int c = imod ( index , texelsInLogicalRow ) * 2 ;
return ivec2 ( r , c ) ;
}
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { a [ 0 ] } , $ { a [ 1 ] } ) ) ;
int index = resTexRC . x * $ { a [ 1 ] } + resTexRC . y ;
int r = 2 * ( index / $ { r } ) ;
int c = imod ( index , $ { r } ) * 2 ;
return ivec2 ( r , c ) ;
}
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` }function T9(e,t,n){return w.arraysEqual(e,t)?n? `
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ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
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}
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` : `
ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
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}
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` :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 ) ;
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}
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` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( index , 0 ) ;
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}
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` :e[0]===1?n? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
return ivec2 ( 0 , index ) ;
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}
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` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( 0 , index ) ;
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}
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` :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 ) ;
}
` : `
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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` }function Jo(e){return ` offset$ { e } ` }function C9(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=En();return `
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vec4 $ { n } ( ) {
return $ { a . texture2D } ( $ { t } , halfCR ) ;
}
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` }function E9(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return ` float $ { a } ( ) { return $ { n } ; } ` ;let[r,s]=e.shapeInfo.texShape;if(r===1&&s===1)return `
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float $ { a } ( ) {
return sampleTexture ( $ { n } , halfCR ) ;
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}
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` ;let i=Jo(n);if(t)return `
float $ { a } ( ) {
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , $ { i } ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` ;let[o,l]=e.shapeInfo.texShape;return `
float $ { a } ( ) {
vec2 uv = uvFromFlat ( $ { o } , $ { l } , $ { i } ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function _9(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=En();if(t)return `
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vec4 $ { a } ( int index ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { n } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { n } TexShape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom1D (
packedTexShape [ 0 ] , packedTexShape [ 1 ] , index ) ;
return $ { s . texture2D } ( $ { n } , uv ) ;
}
` ;let i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];return `
vec4 $ { a } ( int index ) {
vec2 uv = packedUVfrom1D (
$ { i [ 0 ] } , $ { i [ 1 ] } , index ) ;
return $ { s . texture2D } ( $ { n } , uv ) ;
}
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` }function A9(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return `
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float $ { a } ( int index ) {
$ { pp ( e ) }
}
` ;let r=e.shapeInfo.texShape,s=r[0],i=r[1];if(i===1&&s===1)return `
float $ { a } ( int index ) {
return sampleTexture ( $ { n } , halfCR ) ;
}
` ;let o=Jo(n);return i===1?t? `
float $ { a } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { o } ) + 0.5 ) / float ( $ { n } TexShape [ 0 ] ) ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { a } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { o } ) + 0.5 ) / $ { s } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` :s===1?t? `
float $ { a } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { o } ) + 0.5 ) / float ( $ { n } TexShape [ 1 ] ) , 0.5 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { a } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { o } ) + 0.5 ) / $ { i } . 0 , 0.5 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` :t? `
float $ { a } ( int index ) {
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , index + $ { o } ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { a } ( int index ) {
vec2 uv = uvFromFlat ( $ { s } , $ { i } , index + $ { o } ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function F9(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape,i=s[0],o=s[1],l=En();if(s!=null&&w.arraysEqual(n,s))return t? `
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vec4 $ { r } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { a } TexShape [ 1 ] , $ { a } TexShape [ 0 ] ) ;
return $ { l . texture2D } ( $ { a } , uv ) ;
}
` : `
vec4 $ { r } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { o } . 0 , $ { i } . 0 ) ;
return $ { l . texture2D } ( $ { a } , uv ) ;
}
` ;if(t)return `
vec4 $ { r } ( int row , int col ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { a } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { a } TexShape [ 1 ] ) / 2.0 ) ) ;
int valuesPerRow = int ( ceil ( float ( $ { a } Shape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom2D ( valuesPerRow , packedTexShape [ 0 ] , packedTexShape [ 1 ] , row , col ) ;
return $ { l . texture2D } ( $ { a } , uv ) ;
}
` ;let u=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],p=Math.ceil(n[1]/2);return `
vec4 $ { r } ( int row , int col ) {
vec2 uv = packedUVfrom2D ( $ { p } , $ { u [ 0 ] } , $ { u [ 1 ] } , row , col ) ;
return $ { l . texture2D } ( $ { a } , uv ) ;
}
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` }function $ 9(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape;if(s!=null&&w.arraysEqual(n,s)){if(t)return `
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float $ { r } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { a } TexShape [ 1 ] , $ { a } TexShape [ 0 ] ) ;
return sampleTexture ( $ { a } , uv ) ;
}
` ;let c=s[0],h=s[1];return `
float $ { r } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { h } . 0 , $ { c } . 0 ) ;
return sampleTexture ( $ { a } , uv ) ;
}
` }let{newShape:i,keptDims:o}=w.squeezeShape(n),l=i;if(l.length<n.length){let c=cp(e,l),h=["row","col"];return `
$ { up ( c , t ) }
float $ { r } ( int row , int col ) {
return $ { r } ( $ { dp ( h , o ) } ) ;
}
` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col ) {
int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { n [ 1 ] } , 1 ) ) ) ;
$ { pp ( e ) }
}
` ;let u=s[0],p=s[1],d=Jo(a);return p===1?t? `
float $ { r } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { d } ) , vec3 ( $ { a } Shape [ 1 ] , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / float ( $ { a } TexShape [ 0 ] ) ) ;
return sampleTexture ( $ { a } , uv ) ;
}
` : `
float $ { r } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { d } ) , vec3 ( $ { n [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / $ { u } . 0 ) ;
return sampleTexture ( $ { a } , uv ) ;
}
` :u===1?t? `
float $ { r } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { d } ) , vec3 ( $ { a } Shape [ 1 ] , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / float ( $ { a } TexShape [ 1 ] ) , 0.5 ) ;
return sampleTexture ( $ { a } , uv ) ;
}
` : `
float $ { r } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { d } ) , vec3 ( $ { n [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / $ { p } . 0 , 0.5 ) ;
return sampleTexture ( $ { a } , uv ) ;
}
` :t? `
float $ { r } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { a } Shape [ 1 ] + col + $ { d } ;
vec2 uv = uvFromFlat ( $ { a } TexShape [ 0 ] , $ { a } TexShape [ 1 ] , index ) ;
return sampleTexture ( $ { a } , uv ) ;
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}
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` : `
float $ { r } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { n [ 1 ] } + col + $ { d } ;
vec2 uv = uvFromFlat ( $ { u } , $ { p } , index ) ;
return sampleTexture ( $ { a } , uv ) ;
}
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` }function D9(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape,i=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)];if(n[0]===1){let c=n.slice(1),h=[1,2],m=cp(e,c),f=["b","row","col"];return `
$ { iA ( m , t ) }
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vec4 $ { r } ( int b , int row , int col ) {
return $ { r } ( $ { dp ( f , h ) } ) ;
}
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` }let o=En();if(t)return `
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vec4 $ { r } ( int b , int row , int col ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { a } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { a } TexShape [ 1 ] ) / 2.0 ) ) ;
int valuesPerRow = int ( ceil ( float ( $ { a } Shape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatch = valuesPerRow * int ( ceil ( float ( $ { a } Shape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom3D (
packedTexShape [ 0 ] , packedTexShape [ 1 ] , texelsInBatch , valuesPerRow , b , row , col ) ;
return $ { o . texture2D } ( $ { a } , uv ) ;
}
` ;let l=i[0],u=i[1],p=Math.ceil(n[2]/2),d=p*Math.ceil(n[1]/2);return `
vec4 $ { r } ( int b , int row , int col ) {
vec2 uv = packedUVfrom3D (
$ { l } , $ { u } , $ { d } , $ { p } , b , row , col ) ;
return $ { o . texture2D } ( $ { a } , uv ) ;
}
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` }function R9(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=n[1]*n[2],i=n[2],{newShape:o,keptDims:l}=w.squeezeShape(n),u=o;if(u.length<n.length){let f=cp(e,u),g=["row","col","depth"];return `
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$ { up ( f , t ) }
float $ { r } ( int row , int col , int depth ) {
return $ { r } ( $ { dp ( g , l ) } ) ;
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}
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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 ) ,
vec3 ( $ { s } , $ { i } , 1 ) ) ) ;
$ { pp ( e ) }
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}
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` ;let p=e.shapeInfo.texShape,d=p[0],c=p[1],h=e.shapeInfo.flatOffset;if(c===s&&h==null)return t? `
float $ { r } ( int row , int col , int depth ) {
int stride1 = $ { a } Shape [ 2 ] ;
float texR = float ( row ) ;
float texC = dot ( vec2 ( col , depth ) , vec2 ( stride1 , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { a } TexShape [ 1 ] , $ { a } TexShape [ 0 ] ) ;
return sampleTexture ( $ { a } , uv ) ;
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}
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` : `
float $ { r } ( int row , int col , int depth ) {
float texR = float ( row ) ;
float texC = dot ( vec2 ( col , depth ) , vec2 ( $ { i } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { c } . 0 , $ { d } . 0 ) ;
return sampleTexture ( $ { a } , uv ) ;
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}
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` ;if(c===i&&h==null)return t? `
float $ { r } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { a } Shape [ 1 ] , 1 ) ) ;
float texC = float ( depth ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { a } TexShape [ 1 ] , $ { a } TexShape [ 0 ] ) ;
return sampleTexture ( $ { a } , uv ) ;
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}
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` : `
float $ { r } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { n [ 1 ] } , 1 ) ) ;
float texC = float ( depth ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { c } . 0 , $ { d } . 0 ) ;
return sampleTexture ( $ { a } , uv ) ;
}
` ;let m=Jo(a);return t? `
float $ { r } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
int stride0 = $ { a } Shape [ 1 ] * $ { a } Shape [ 2 ] ;
int stride1 = $ { a } Shape [ 2 ] ;
int index = row * stride0 + col * stride1 + depth + $ { m } ;
vec2 uv = uvFromFlat ( $ { a } TexShape [ 0 ] , $ { a } TexShape [ 1 ] , index ) ;
return sampleTexture ( $ { a } , uv ) ;
}
` : `
float $ { r } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { s } + col * $ { i } + depth + $ { m } ;
vec2 uv = uvFromFlat ( $ { d } , $ { c } , index ) ;
return sampleTexture ( $ { a } , uv ) ;
}
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` }function M9(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=En();if(t)return `
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vec4 $ { a } ( int b2 , int b , int row , int col ) {
int valuesPerRow = int ( ceil ( float ( $ { n } Shape [ 3 ] ) / 2.0 ) ) ;
int texelsInBatch = valuesPerRow * int ( ceil ( float ( $ { n } Shape [ 2 ] ) / 2.0 ) ) ;
int index = b * texelsInBatch + ( row / 2 ) * valuesPerRow + ( col / 2 ) ;
texelsInBatch *= $ { n } Shape [ 1 ] ;
index = b2 * texelsInBatch + index ;
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { n } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { n } TexShape [ 1 ] ) / 2.0 ) ) ;
int texR = index / packedTexShape [ 1 ] ;
int texC = index - texR * packedTexShape [ 1 ] ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( packedTexShape [ 1 ] , packedTexShape [ 0 ] ) ; return $ { r . texture2D } ( $ { n } , uv ) ;
}
` ;let s=e.shapeInfo.logicalShape,i=s.length,o=e.shapeInfo.texShape,l=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],u=l[0],p=l[1],d=Math.ceil(s[i-1]/2),c=d*Math.ceil(s[i-2]/2),h="int b, int row, int col",m= ` b * $ { c } + ( row / 2 ) * $ { d } + ( col / 2 ) ` ;for(let f=2;f<i-1;f++)h= ` int b$ { f } , ` +h,c*=s[i-f-1],m= ` b$ { f } * $ { c } + ` +m;return `
vec4 $ { a } ( $ { h } ) {
int index = $ { m } ;
int texR = index / $ { p } ;
int texC = index - texR * $ { p } ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { p } , $ { u } ) ;
return $ { r . texture2D } ( $ { n } , uv ) ;
}
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` }function O9(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=n[3],i=n[2]*s,o=n[1]*i,{newShape:l,keptDims:u}=w.squeezeShape(n);if(l.length<n.length){let y=cp(e,l),x=["row","col","depth","depth2"];return `
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$ { up ( y , t ) }
float $ { r } ( int row , int col , int depth , int depth2 ) {
return $ { r } ( $ { dp ( x , u ) } ) ;
}
` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col , int depth , int depth2 ) {
int index = round ( dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { o } , $ { i } , $ { s } , 1 ) ) ) ;
$ { pp ( e ) }
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}
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` ;let p=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,c=d[0],h=d[1],m= ` int stride2 = $ { a } Shape [ 3 ] ; ` ,f= ` int stride1 = $ { a } Shape [ 2 ] * stride2 ; ` ,g= ` int stride0 = $ { a } Shape [ 1 ] * stride1 ; ` ;if(h===o&&p==null)return t? `
float $ { r } ( int row , int col , int depth , int depth2 ) {
$ { m }
$ { f }
float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
vec3 ( stride1 , stride2 , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { a } TexShape [ 1 ] , $ { a } TexShape [ 0 ] ) ;
return sampleTexture ( $ { a } , uv ) ;
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}
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` : `
float $ { r } ( int row , int col , int depth , int depth2 ) {
float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
vec3 ( $ { i } , $ { s } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { h } . 0 , $ { c } . 0 ) ;
return sampleTexture ( $ { a } , uv ) ;
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}
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` ;if(h===s&&p==null)return t? `
float $ { r } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { a } Shape [ 1 ] * $ { a } Shape [ 2 ] , $ { a } Shape [ 2 ] , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { a } TexShape [ 1 ] , $ { a } TexShape [ 0 ] ) ;
return sampleTexture ( $ { a } , uv ) ;
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}
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` : `
float $ { r } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { n [ 1 ] * n [ 2 ] } , $ { n [ 2 ] } , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { h } . 0 , $ { c } . 0 ) ;
return sampleTexture ( $ { a } , uv ) ;
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}
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` ;let b=Jo(a);return t? `
float $ { r } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
$ { m }
$ { f }
$ { g }
int index = row * stride0 + col * stride1 +
depth * stride2 + depth2 ;
vec2 uv = uvFromFlat ( $ { a } TexShape [ 0 ] , $ { a } TexShape [ 1 ] , index + $ { b } ) ;
return sampleTexture ( $ { a } , uv ) ;
}
` : `
float $ { r } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { o } + col * $ { i } +
depth * $ { s } + depth2 ;
vec2 uv = uvFromFlat ( $ { c } , $ { h } , index + $ { b } ) ;
return sampleTexture ( $ { a } , uv ) ;
}
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` }function P9(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[4],s=t[3]*r,i=t[2]*s,o=t[1]*i,{newShape:l,keptDims:u}=w.squeezeShape(t);if(l.length<t.length){let f=cp(e,l),g=["row","col","depth","depth2","depth3"];return `
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$ { up ( f ) }
float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
return $ { a } ( $ { dp ( g , u ) } ) ;
}
` }if(e.shapeInfo.isUniform)return `
float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
float index = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { o } , $ { i } , $ { s } , $ { r } ) ) +
depth3 ;
$ { pp ( e ) }
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}
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` ;let p=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,c=d[0],h=d[1];if(h===o&&p==null)return `
float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
vec4 ( $ { i } , $ { s } , $ { r } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { h } . 0 , $ { c } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(h===r&&p==null)return `
float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
float texR = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] } ,
$ { t [ 2 ] * t [ 3 ] } , $ { t [ 3 ] } , 1 ) ) ;
int texC = depth3 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { h } . 0 , $ { c } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let m=Jo(n);return `
float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { o } + col * $ { i } + depth * $ { s } +
depth2 * $ { r } + depth3 + $ { m } ;
vec2 uv = uvFromFlat ( $ { c } , $ { h } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function L9(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:r,keptDims:s}=w.squeezeShape(t);if(r.length<t.length){let g=cp(e,r),b=["row","col","depth","depth2","depth3","depth4"];return `
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$ { up ( g ) }
float $ { a } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
return $ { a } ( $ { dp ( b , s ) } ) ;
}
` }let i=t[5],o=t[4]*i,l=t[3]*o,u=t[2]*l,p=t[1]*u;if(e.shapeInfo.isUniform)return `
float $ { a } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int index = round ( dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { p } , $ { u } , $ { l } , $ { o } ) ) +
dot (
vec2 ( depth3 , depth4 ) ,
vec2 ( $ { i } , 1 ) ) ) ;
$ { pp ( e ) }
}
` ;let d=e.shapeInfo.flatOffset,c=e.shapeInfo.texShape,h=c[0],m=c[1];if(m===p&&d==null)return `
float $ { a } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
vec4 ( $ { u } , $ { l } , $ { o } , $ { i } ) ) +
float ( depth4 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { m } . 0 , $ { h } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` ;if(m===i&&d==null)return `
float $ { a } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
float texR = dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 3 ] * t [ 4 ] } ,
$ { t [ 4 ] } ) ) + float ( depth3 ) ;
int texC = depth4 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { m } . 0 , $ { h } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` ;let f=Jo(n);return `
float $ { a } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { p } + col * $ { u } + depth * $ { l } +
depth2 * $ { o } + depth3 * $ { i } + depth4 + $ { f } ;
vec2 uv = uvFromFlat ( $ { h } , $ { m } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` }function pp(e){let t=e.name,n=w.sizeFromShape(e.shapeInfo.logicalShape);return n<2? ` return $ { t } ; ` : `
for ( int i = 0 ; i < $ { n } ; i ++ ) {
if ( i == index ) {
return $ { t } [ i ] ;
}
}
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` }function z9(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=sA(e.shapeInfo.logicalShape,t.logicalShape),l=ht(i),u=i-s,p,d=["x","y","z","w","u","v"];s===0?p="":i<2&&o.length>=1?p="coords = 0;":p=o.map(g=> ` coords . $ { d [ g + u ] } = 0 ; ` ).join( `
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` );let c="";i<2&&s>0?c="coords":c=e.shapeInfo.logicalShape.map((g,b)=> ` coords . $ { d [ b + u ] } ` ).join(", ");let h="return outputValue;",m=w.sizeFromShape(e.shapeInfo.logicalShape)===1,f=w.sizeFromShape(t.logicalShape)===1;if(s===1&&!m&&!f)h= `
return vec4 ( outputValue . xy , outputValue . xy ) ;
` ;else if(m&&!f)i===1?h= `
return vec4 ( outputValue . x , outputValue . x , 0. , 0. ) ;
` :h= `
return vec4 ( outputValue . x ) ;
` ;else if(o.length){let g=s-2,b=s-1;o.indexOf(g)>-1&&o.indexOf(b)>-1?h="return vec4(outputValue.x);":o.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(b)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}return `
vec4 $ { r } ( ) {
$ { l } coords = getOutputCoords ( ) ;
$ { p }
vec4 outputValue = get$ { a } ( $ { c } ) ;
$ { h }
}
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` }function W9(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&w.arraysEqual(i,s))return `
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float $ { r } ( ) {
return sampleTexture ( $ { n } , resultUV ) ;
}
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` ;let u=ht(l),p=sA(e.shapeInfo.logicalShape,t.logicalShape),d=l-o,c,h=["x","y","z","w","u","v"];o===0?c="":l<2&&p.length>=1?c="coords = 0;":c=p.map(f=> ` coords . $ { h [ f + d ] } = 0 ; ` ).join( `
2024-01-17 22:56:53 +01:00
` );let m="";return l<2&&o>0?m="coords":m=e.shapeInfo.logicalShape.map((f,g)=> ` coords . $ { h [ g + d ] } ` ).join(", "), `
float $ { r } ( ) {
$ { u } coords = getOutputCoords ( ) ;
$ { c }
return get$ { a } ( $ { m } ) ;
}
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` }function ht(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 tk(e,t,n){let{newShape:a,keptDims:r}=w.squeezeShape(t),s=t.length,i=e&&s===3&&t[0]===1,o=i?t.slice(1):a,l=!e&&s>1&&!w.arraysEqual(t,n)&&a.length<s||i;return{useSqueezeShape:l,uniformShape:l?o:t,keptDims:r}}function cp(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function dp(e,t){return t.map(n=>e[n]).join(", ")}function B9(e,t,n,a){let r=n.map((p,d)=>{let c={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(c.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[d],shapeInfo:c}}),s=r.map(p=>p.shapeInfo),i={logicalShape:a.shape,texShape:a.texData.texShape,isUniform:!1,isPacked:a.texData.isPacked,flatOffset:null},o=s9(r,i,t),l=P_(e.gl,o),u=e.createProgram(l);return G().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i,variablesLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:(e.buildVao(u),Object.assign({program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i},lA(e,t,u)))}function lA(e,t,n){let a=[],r=[],s,i,o,l=null,u=null;u=e.getUniformLocation(n,"NAN",!1),G().getNumber("WEBGL_VERSION")===1&&(l=e.getUniformLocation(n,"INFINITY",!1));let p=!1;for(let d of t.variableNames){let c={name:d,uniform:e.getUniformLocation(n,d,p),offset:e.getUniformLocation(n, ` offset$ { d } ` ,p)};t.enableShapeUniforms&&(c.shape=e.getUniformLocation(n, ` $ { d } Shape ` ,p),c.texShape=e.getUniformLocation(n, ` $ { d } TexShape ` ,p)),a.push(c)}if(t.enableShapeUniforms&&(s=e.getUniformLocation(n,"outShape",p),o=e.getUniformLocation(n,"outShapeStrides",p),i=e.getUniformLocation(n,"outTexShape",p)),t.customUniforms)for(let d of t.customUniforms)r.push(e.getUniformLocation(n,d.name,p));return{variablesLocations:a,customUniformLocations:r,infLoc:l,nanLoc:u,outShapeLocation:s,outShapeStridesLocation:o,outTexShapeLocation:i}}function nS(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,a)=>{let r=n.logicalShape,s=t[a],i=s.shape;if(!w.arraysEqual(r,i))throw Error( ` Binary was compiled with different shapes than the current args . Shapes $ { r } and $ { i } must match ` );if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!w.arraysEqual(o,l))throw Error( ` Binary was compiled with different texture shapes than the current args . Shape $ { o } and $ { l } must match ` )})}function V9(e,t,n,a,r){t.program.enableShapeUniforms||(nS(t.inShapeInfos,n),nS([t.outShapeInfo],[a]));let s=a.texData.texture,i=a.texData.texShape;a.texData.isPacked?e.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):e.setOutputMatrixTexture(s.texture,i[0],i[1]),e.setProgram(t.webGLProgram),e.bindVertexArray(t.webGLProgram.vao),G().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN);for(let l=0;l<n.length;++l){let u=n[l],{uniform:p,offset:d,shape:c,texShape:h}=t.variablesLocations[l];if(c){let{uniformShape:m}=tk(t.program.packedInputs,u.shape,u.texData.texShape);switch(m.length){case 1:e.gl.uniform1iv(c,new Int32Array(m));break;case 2:e.gl.uniform2iv(c,new Int32Array(m));break;case 3:e.gl.uniform3iv(c,new Int32Array(m));break;case 4:e.gl.uniform4iv(c,new Int32Array(m));break;default:break}}if(h&&e.gl.uniform2i(h,u.texData.texShape[0],u.texData.texShape[1]),p!=null){if(u.isUniform){if(w.sizeFromShape(u.shape)<2)e.gl.uniform1f(p,u.uniformValues[0]);else{let m=u.uniformValues;m instanceof Float32Array||(m=new Float32Array(m)),e.gl.uniform1fv(p,m)}continue}u.texData.slice!=null&&d!=null&&e.gl.uniform1i(d,u.texData.slice.flatOffset)
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { this . enableShapeUniforms ? Wf ( [ "r" , "c" , "d" ] , e ) : Zo ( [ "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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` }},H9=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Nc.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=En();this.outputShape=e,this.enableShapeUniforms=vn(this.outputShape.length),this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { this . enableShapeUniforms ? Wf ( [ "r" , "c" , "d" ] , e ) : Zo ( [ "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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` }},j9=class{constructor(e){this.variableNames=["A"],this.outTexUsage=ca.DOWNLOAD;let t=En();this.outputShape=e,this.userCode= `
$ { rA }
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void main ( ) {
float x = getAAtOutCoords ( ) ;
$ { t . output } = encode _float ( x ) ;
}
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` }},q9=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=ca.DOWNLOAD;let t=En();this.outputShape=e,this.userCode= `
$ { rA }
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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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` }},K9={R:0,G:1,B:2,A:3},aS=class{constructor(e,t=!1,n="RGBA"){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let a=En();this.outputShape=e,this.enableShapeUniforms=vn(this.outputShape.length);let r="result";t&&(r="floor(result * 255. + 0.5)");let s="";for(let i=0;i<n.length;i++){let o=n[i];s+= `
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if ( offset == $ { i } ) {
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result = values [ $ { K9 [ o ] } ] ;
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} ` }this.userCode= `
$ { this . enableShapeUniforms ? ek ( ) : Q1 ( e ) }
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int flatIndex = getFlatIndex ( coords ) ;
float result = 0. ;
int offset = imod ( flatIndex , $ { n . length } ) ;
flatIndex = idiv ( flatIndex , $ { n . length } , 1. ) ;
int r = flatIndex / texShape [ 1 ] ;
if ( r < texShape [ 0 ] ) {
int c = imod ( flatIndex , texShape [ 1 ] ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( texShape [ 1 ] , texShape [ 0 ] ) ;
vec4 values = $ { a . texture2D } ( A , uv ) ;
$ { s }
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}
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$ { a . output } = vec4 ( $ { r } , 0. , 0. , 0. ) ;
}
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` }},X9=class{constructor(e,t=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=En();this.outputShape=e,this.enableShapeUniforms=vn(this.outputShape.length);let a="",r="result";t&&(r="floor(result * 255. + 0.5)");for(let s=0;s<=1;s++)for(let i=0;i<=1;i++){let o=s*2+i;a+= `
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localCoords = coords ;
if ( localCoords [ 2 ] + $ { i } < $ { this . enableShapeUniforms ? "outShape[2]" : ` ${ e [ 2 ] } ` } ) {
localCoords [ 2 ] += $ { i } ;
if ( localCoords [ 1 ] + $ { s } < $ { this . enableShapeUniforms ? "outShape[1]" : ` ${ e [ 1 ] } ` } ) {
localCoords [ 1 ] += $ { s } ;
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 ) {
result [ $ { o } ] = values [ 0 ] ;
} else if ( offset == 1 ) {
result [ $ { o } ] = values [ 1 ] ;
} else if ( offset == 2 ) {
result [ $ { o } ] = values [ 2 ] ;
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} else {
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result [ $ { o } ] = values [ 3 ] ;
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}
}
}
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` }this.userCode= `
$ { this . enableShapeUniforms ? ek ( ) : Q1 ( e ) }
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
int flatIndex , r , c , offset ;
ivec3 localCoords ;
vec2 uv ;
vec4 values ;
$ { a }
$ { n . output } = $ { r } ;
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}
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` }},uA={};_e(uA,{bindVertexProgramAttributeStreams:()=>yA,createBufferFromOutputTexture:()=>wA,createFloat16MatrixTexture:()=>mA,createFloat16PackedMatrixTexture:()=>bA,createFloat32MatrixTexture:()=>hA,createIndexBuffer:()=>dA,createPackedMatrixTexture:()=>gA,createUnsignedBytesMatrixTexture:()=>fA,createVertexBuffer:()=>cA,createVertexShader:()=>pA,downloadByteEncodedFloatMatrixFromOutputTexture:()=>IA,downloadFloat32MatrixFromBuffer:()=>kA,downloadMatrixFromPackedOutputTexture:()=>NA,downloadPackedMatrixFromBuffer:()=>SA,getInternalFormatForFloat16MatrixTexture:()=>ak,getInternalFormatForFloat16PackedMatrixTexture:()=>ik,getInternalFormatForFloat32MatrixTexture:()=>nk,getInternalFormatForPackedMatrixTexture:()=>sk,getInternalFormatForUnsignedBytesMatrixTexture:()=>rk,uploadDenseMatrixToTexture:()=>xA,uploadPixelDataToTexture:()=>vA});function pA(e){let t=En(),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 O_(e,n)}function cA(e){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return W_(e,t)}function dA(e){let t=new Uint16Array([0,1,2,2,1,3]);return B_(e,t)}function Ad(e,t,n,a,r,s){U_(t,n);let i=V_(e),o=e.TEXTURE_2D;return de(e,()=>e.bindTexture(o,i)),de(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),de(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),de(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),de(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),G().getNumber("WEBGL_VERSION")===1?de(e,()=>e.texImage2D(o,0,a,t,n,0,r,s,null)):de(e,()=>e.texStorage2D(o,1,a,t,n)),de(e,()=>e.bindTexture(e.TEXTURE_2D,null)),{texture:i,texShape:[n,t]}}function nk(e){return e.internalFormatFloat}function hA(e,t,n,a){let[r,s]=_d(t,n);return Ad(e,r,s,nk(a),a.textureFormatFloat,e.FLOAT)}function ak(e){return e.internalFormatHalfFloat}function mA(e,t,n,a){let[r,s]=_d(t,n);return Ad(e,r,s,ak(a),a.textureFormatFloat,a.textureTypeHalfFloat)}function rk(e){return e.downloadTextureFormat}function fA(e,t,n,a){let[r,s]=_d(t,n);return Ad(e,r,s,rk(a),e.RGBA,e.UNSIGNED_BYTE)}function sk(e){return e.internalFormatPackedFloat}function gA(e,t,n,a){let[r,s]=op(t,n);return Ad(e,r,s,sk(a),e.RGBA,e.FLOAT)}function ik(e){return e.internalFormatPackedHalfFloat}function bA(e,t,n,a){let[r,s]=op(t,n);return Ad(e,r,s,ik(a),e.RGBA,a.textureTypeHalfFloat)}function yA(e,t,n){return de(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),pv(e,t,"clipSpacePos",n,3,20,0)&&pv(e,t,"uv",n,2,20,12)}function xA(e,t,n,a,r,s){de(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(n*a*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*a*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),G().getNumber("WEBGL_VERSION")===2?de(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,a,e.RGBA,o,i)):de(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,a,0,e.RGBA,o,i)),de(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function vA(e,t,n){de(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?G().getNumber("WEBGL_VERSION")===2?de(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)):de(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):G().getNumber("WEBGL_VERSION")===2?de(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)):de(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),de(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function wA(e,t,n,a){let r=e.createBuffer();de(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*n;return de(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),de(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),de(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function kA(e,t,n){let a=e,r=new Float32Array(n);return a.bindBuffer(a.PIXEL_PACK_BUFFER,t),a.getBufferSubData(a.PIXEL_PACK_BUFFER,0,r),a.bindBuffer(a.PIXEL_PACK_BUFFER,null),r}function IA(e,t,n,a){let[r,s]=_d(t,n),i=4,o=new Uint8Array(HJ(t*n,i));return de(e,()=>e.readPixels(0,0,r,s,a.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function SA(e,t,n,a,r,s,i,o){let l=e,u=new Float32Array(jJ(s,i));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 NA(e,t,n){let a=new Float32Array(t*n*4);return de(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,a)),a}var Wh=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let t=G().getNumber("WEBGL_VERSION");if(e!=null?(this.gl=e,D_(t,e)):this.gl=ja(t),e=this.gl,G().getNumber("WEBGL_VERSION")===2){let r=e;this.createVertexArray=()=>de(r,()=>r.createVertexArray()),this.bindVertexArray=s=>de(r,()=>r.bindVertexArray(s)),this.deleteVertexArray=s=>de(r,()=>r.deleteVertexArray(s)),this.getVertexArray=()=>de(r,()=>r.getParameter(r.VERTEX_ARRAY_BINDING))}else if(e!=null){let r=e.getExtension("OES_vertex_array_object");if(r==null)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=()=>d
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void main ( ) {
setOutput ( vec4 ( getA ( ) , 0. , 0. , 0. ) ) ;
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}
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` ;else{let t=In("rc",this.rank),n=ht(this.rank),a=this.getOutOfBoundsCondition(t),r=this.getSetup(t),s=this.getOutput(t);this.userCode= `
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void main ( ) {
$ { n } rc = getOutputCoords ( ) ;
if ( $ { a } ) {
setOutput ( vec4 ( 0 ) ) ;
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} else {
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$ { r }
setOutput ( vec4 ( $ { s } ) ) ;
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}
}
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` }}getSourceCoordsArr(e){let t=[];for(let n=0;n<=1;n++)for(let a=0;a<=1;a++){let r= ` $ { n === 0 ? "r" : "rp1" } , $ { a === 0 ? "c" : "cp1" } ` ;for(let s=2;s<this.rank;s++)r= ` $ { e [ e . length - 1 - s ] } , ` +r;t.push(r)}return t}getOutOfBoundsCondition(e){if(this.rank===1)return ` rc > $ { this . enableShapeUniforms ? "outShape" : this . outputShape [ 0 ] } ` ;let t="";for(let n=this.rank-2;n<this.rank;n++)t+= ` $ { e [ n ] } >= $ { this . enableShapeUniforms ? ` outShape[ ${ n } ] ` : this . outputShape [ n ] } ` ,n<this.rank-1&&(t+="||");return t}getSetup(e){if(this.rank===1)return"";let t=e.slice(-2),n=this.enableShapeUniforms? ` outShape [ $ { this . rank } - 1 ] ` :this.outputShape[this.rank-1],a=this.enableShapeUniforms? ` outShape [ $ { this . rank } - 2 ] ` :this.outputShape[this.rank-2];return `
int r = $ { t [ 0 ] } ;
int c = $ { t [ 1 ] } ;
int rp1 = r + 1 ;
int cp1 = c + 1 ;
bool cEdge = cp1 >= $ { n } ;
bool rEdge = rp1 >= $ { a } ;
` }getOutput(e){let t=this.getSourceCoordsArr(e);return this.rank===1? ` getA ( rc ) , ( rc + 1 >= $ { this . enableShapeUniforms ? "outShape" : this . outputShape [ 0 ] } ? 0. : getA ( rc + 1 ) ) , 0 , 0 ` : ` getA ( $ { t [ 0 ] } ) ,
cEdge ? 0. : getA ( $ { t [ 1 ] } ) ,
rEdge ? 0. : getA ( $ { t [ 2 ] } ) ,
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rEdge || cEdge ? 0. : getA ( $ { t [ 3 ] } ) ` }},AA=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=vn(this.outputShape.length);let n="";for(let a=0;a<4;a++){let r="thisRC = rc;";a%2===1&&(r+="thisRC.z += 1;"),a>1&&(r+="thisRC.y += 1;"),n+= `
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$ { r }
$ { a > 0 ? "if(thisRC.y < rows && thisRC.z < cols){" : "" }
int flatIndex = getFlatIndex ( thisRC ) ;
ivec3 inputRC = inputCoordsFromReshapedOutCoords ( flatIndex ) ;
vec2 inputRCInnerDims = vec2 ( float ( inputRC . y ) , float ( inputRC . z ) ) ;
result [ $ { a } ] =
getChannel ( getA ( inputRC . x , inputRC . y , inputRC . z ) , inputRCInnerDims ) ;
$ { a > 0 ? "}" : "" }
` }this.userCode= `
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$ { GQ ( t , this . enableShapeUniforms ) }
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$ { this . enableShapeUniforms ? ek ( ) : Q1 ( e ) }
void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
ivec3 thisRC ;
int rows = $ { this . enableShapeUniforms ? "outShape[1]" : e [ 1 ] } ;
int cols = $ { this . enableShapeUniforms ? "outShape[2]" : e [ 2 ] } ;
$ { n }
setOutput ( result ) ;
}
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` }};function GQ(e,t){return `
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ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
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$ { t ? r9 ( [ "r" , "c" , "d" ] , "inputShape" ) : Zo ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
}
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` }var HQ=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.usedTextures={},this.logEnabled=!1}acquireTexture(e,t,n){let a=sS(t,n),r=iS(e,a,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=rS(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].pop();return this.usedTextures[r].push(o),o}let i;return a===cn.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===cn.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===cn.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===cn.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===cn.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,a){if(this.freeTextures==null)return;let r=sS(n,a),s=iS(t,r,a);s in this.freeTextures||(this.freeTextures[s]=[]);let i=rS(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,a),o=G().getNumber("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],u=l&&l.indexOf(e);if(u==null||u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l[u]=l[l.length-1],l.pop(),this.log()}log(){if(!this.logEnabled)return;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.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function jQ(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F||t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error( ` Unknown internal format $ { t } ` )}function rS(e,t,n,a,r){let s=qQ(t,a),i;if(r){let[l,u]=op(e[0],e[1]);i=l*u}else{let[l,u]=_d(e[0],e[1]);i=l*u}let o=jQ(n,s);return i*o}function qQ(e,t){switch(e){case cn.PACKED_2X2_FLOAT32:return sk(t);case cn.PACKED_2X2_FLOAT16:return ik(t);case cn.UNPACKED_FLOAT32:return nk(t);case cn.UNPACKED_FLOAT16:return ak(t);case cn.PACKED_4X1_UNSIGNED_BYTE:return rk(t);default:throw new Error( ` Unknown physical texture type $ { e } ` )}}function KQ(e){return G().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?cn.PACKED_2X2_FLOAT32:cn.UNPACKED_FLOAT32:e?cn.PACKED_2X2_FLOAT16:cn.UNPACKED_FLOAT16}function sS(e,t){if(e===ca.UPLOAD)return cn.PACKED_2X2_FLOAT32;if(e===ca.RENDER||e==null)return KQ(t);if(e===ca.DOWNLOAD||e===ca.PIXELS)return cn.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { e } ` )}function iS(e,t,n){return ` $ { e [ 0 ] } _$ { e [ 1 ] } _$ { t } _$ { n } ` }var rr=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=vn(this.outputShape.length),this.userCode= `
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float unaryOperation ( float x ) {
$ { t }
}
void main ( ) {
float x = getAAtOutCoords ( ) ;
float y = unaryOperation ( x ) ;
setOutput ( y ) ;
}
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` }},Da="if (isnan(x)) return x;",XQ="return x;",oS="return abs(x);",YQ="return (x >= 0.0) ? x : (exp(x) - 1.0);",ZQ=Da+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,JQ=Da+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,Yr="return x;",QQ="return 1.0 / (1.0 + exp(-1.0 * x));",eee="return x;",tee= `
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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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` ,nee= `
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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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` ,aee= `
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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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` ,ree="return 1.0 / (1.0 + exp(-1.0 * x));",ts=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=vn(this.outputShape.length),this.userCode= `
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vec4 unaryOperation ( vec4 x ) {
$ { t }
}
void main ( ) {
vec4 x = getAAtOutCoords ( ) ;
vec4 y = unaryOperation ( x ) ;
setOutput ( y ) ;
}
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` }},see=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=vn(this.outputShape.length);let t=e.length,n=In("rc",t),a=ht(t),r=VQ(t,n),s=n.slice(-2),i=t<=1?"rc": ` vec2 ( $ { s . join ( "," ) } ) ` ;this.userCode= `
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void main ( ) {
$ { a } rc = getOutputCoords ( ) ;
vec4 packedInput = getA ( $ { r } ) ;
setOutput ( getChannel ( packedInput , $ { i } ) ) ;
}
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` }},iee=mr.whereImpl,oee=1e-7,lee=1e-4,yx={};function uee(e){return e in yx||(yx[e]={}),yx[e]}var pee=G().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),cee=600;function dee(){return G().global.screen==null?1024:G().global.screen.height*G().global.screen.width*window.devicePixelRatio*cee/1024/1024}var lk=class FA extends Fc{nextDataId(){return FA.nextDataId++}constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!G().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let n;if(t!=null){if(t instanceof Wh)n=t;else{let a=ja(G().getNumber("WEBGL_VERSION"),t);n=new Wh(a)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let a=ja(G().getNumber("WEBGL_VERSION"));n=new Wh(a),this.binaryCache=uee(G().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=n,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new HQ(this.gpgpu),this.numMBBeforeWarning=dee(),this.texData=new ym(this,Ta())}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(t,n,a,r,s,i){let o=this.makeTensorInfo(n,a),l=this.texData.get(o.dataId);l.isPacked=!1,l.texture={texture:t,texShape:[r,s]},l.texShape=[r,s];let u=ic(n),p=new aS(u,!1,i),d=this.runWebGLProgram(p,[o],a,[[r,s]]);return d.shape=n,l.texture=null,this.disposeIntermediateTensorInfo(o),d.dataId}write(t,n,a){if((G().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||G().getBool("DEBUG"))&&this.checkNumericalProblems(t),a==="complex64"&&t!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let r={id:this.nextDataId()};return this.texData.set(r,{shape:n,dtype:a,values:t,usage:ca.UPLOAD,refCount:1}),r}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){let n=this.texData.get(t);n.refCount++}decRef(t){if(this.texData.has(t)){let n=this.texData.get(t);n.refCount--}}move(t,n,a,r,s){if(G().getBool("DEBUG")&&this.checkNumericalProblems(n),r==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:a,dtype:r,values:n,usage:ca.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){let n=this.texData.get(t),{values:a,dtype:r,complexTensorInfos:s,slice:i,shape:o,isPacked:l}=n;if(i!=null){let c;l?c=new ts(o,Yr):c=new rr(o,Yr);let h=this.runWebGLProgram(c,[{dataId:t,shape:o,dtype:r}],r),m=this.readSync(h.dataId);return this.disposeIntermediateTensorInfo(h),m}if(a!=null)return this.convertAndCacheOnCPU(t);if(r==="string")return a;let u=this.activeTimers!=null,p;u&&(p=w.now());let d;if(r==="complex64"){let c=this.readSync(s.real.dataId),h=this.readSync(s.imag.dataId);d=T.mergeRealAndImagArrays(c,h)}else d=this.getValuesFromTexture(t);return u&&(this.downloadWaitMs+=w.now()-p),this.convertAndCacheOnCPU(t,d)}async read(t){if(this.pendingRead.has(t)){let m=this.pendingRead.get(t);return new Promise(f=>m.push(f))}let n=this.texData.get(t),{values:a,shape:r,slice:s,dtype:i,complexTensorInfos:o,isPacked:l}=n;if(s!=null){let m;l?m=new ts(r,Yr):m=new rr(r,Yr);let f=this.runWebGLProgram(m,[{dataId:t,shape:r,dtype:i}],i),g=this.read(f.dataId);return this.disposeIntermediateTensorInfo(f),g}if(a!=null)return this.convertAndCacheOnCPU(t);if(G().getBool("DEBUG")&&!G().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&G().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let u=null,p;if(i!=="complex64"&&G().get("WEBGL_BUFFER_SUPPORTED")){p=this.decode(t);let m=this.texData.get(p.dataId);u=this.gpgpu.createBufferFromTexture(m.texture.texture,...Ah(r))}this.pendingRead.set(t,[]),i!=="complex64"&&await this.gpgpu.createAndWaitForFence();let d;if(i==="complex64"){let m=await Promise.all([this.read(o.real.dataId),this.read(o.imag.dataId)]),f=m[0],g=m[1];d=T.mergeRealAndImagArrays(f,g)}else if(u==null)d=this.getVa
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,ki=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=T.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=vn(this.outputShape.length),this.userCode= `
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float binaryOperation ( float a , float b ) {
$ { e }
}
void main ( ) {
float a = getAAtOutCoords ( ) ;
float b = getBAtOutCoords ( ) ;
setOutput ( binaryOperation ( a , b ) ) ;
}
` }},Qo= `
result . r = isNaN . r ? NAN : result . r ;
result . g = isNaN . g ? NAN : result . g ;
result . b = isNaN . b ? NAN : result . b ;
result . a = isNaN . a ? NAN : result . a ;
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` ,hp=class{constructor(e,t,n,a=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=T.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=vn(r);let s="";if(a)if(r===0||w.sizeFromShape(this.outputShape)===1)s= `
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result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
` ;else if(s= `
$ { ht ( r ) } coords = getOutputCoords ( ) ;
` ,r===1)this.enableShapeUniforms?s+= `
result . y = ( coords + 1 ) >= outShape ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
` :s+= `
result . y = ( coords + 1 ) >= $ { this . outputShape [ 0 ] } ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
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` ;else{let i=In("coords",r);this.enableShapeUniforms?s+= `
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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 ;
` :s+= `
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 ( ) ;
vec4 result = binaryOperation ( a , b ) ;
$ { s }
setOutput ( result ) ;
}
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` }};function ta(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var gee={kernelName:eo,backendName:"webgl",kernelFunc:ta};function $ s(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.makeTensorInfo(a.shape,"complex64"),i=n.texData.get(s.dataId),o=ta({inputs:{x:a},backend:n}),l=ta({inputs:{x:r},backend:n});return i.complexTensorInfos={real:o,imag:l},s}var bee={kernelName:wm,backendName:"webgl",kernelFunc: $ s},DA="return (a < 0.) ? b * a : a;",RA= `
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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 yee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a,i=n.makeTensorInfo([],"float32",w.createScalarValue(s,"float32")),o=G().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hp(RA,r.shape,i.shape):new ki(DA,r.shape,i.shape),l=n.runWebGLProgram(o,[r,i],"float32");return n.disposeIntermediateTensorInfo(i),l}var xee={kernelName:ro,backendName:"webgl",kernelFunc:yee},MA="return (a < 0.) ? b * a : a;",OA= `
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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 vee(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=G().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hp(OA,a.shape,r.shape):new ki(MA,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],"float32")}var wee={kernelName:wo,backendName:"webgl",kernelFunc:vee},mp="if (isnan(x)) return x;";function Ze({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:a}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=a||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let d=o.texData.get(i.dataId),c=n(d.values,l);return o.makeTensorInfo(i.shape,l,c)}let u=G().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,p;return u?p=new ts(i.shape,t):p=new rr(i.shape,e),o.runWebGLProgram(p,[i],l)}}function hn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:a=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:u}=i,p=o;if(a&&l.dtype==="complex64"){let m=p.texData.get(l.dataId),f=p.texData.get(u.dataId),[g,b]=[[m.complexTensorInfos.real,f.complexTensorInfos.real],[m.complexTensorInfos.imag,f.complexTensorInfos.imag]].map(x=>{let[v,I]=x,N={dataId:v.dataId,dtype:v.dtype,shape:l.shape},C={dataId:I.dataId,dtype:I.dtype,shape:u.shape},_=new ki(e,l.shape,u.shape);return p.runWebGLProgram(_,[N,C],fa(v.dtype,I.dtype))}),y= $ s({inputs:{real:g,imag:b},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(b),y}let d=s||fa(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||p.shouldExecuteOnCPU([l,u]))&&r!=null){let m=p.texData.get(l.dataId).values,f=p.texData.get(u.dataId).values,g=l.dtype==="string"?T.fromUint8ToStringArray(m):m,b=l.dtype==="string"?T.fromUint8ToStringArray(f):f,[y,x]=r(l.shape,u.shape,g,b,d),v=p.makeTensorInfo(x,d),I=p.texData.get(v.dataId);return I.values=y,v}let c=G().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return c?h=new hp(t,l.shape,u.shape,n):h=new ki(e,l.shape,u.shape),p.runWebGLProgram(h,[l,u],d)}}function Cc(e,t=!1){if(e==="linear")return t?eee:XQ;if(e==="relu")return t?nee:ZQ;if(e==="elu")return t?tee:YQ;if(e==="relu6")return t?aee:JQ;if(e==="prelu")return t?OA:MA;if(e==="leakyrelu")return t?RA:DA;if(e==="sigmoid")return t?ree:QQ;throw new Error( ` Activation $ { e } has not been implemented for the WebGL backend . ` )}var PA=class{constructor(e,t,n,a=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=vn(this.outputShape.length);let u=a?e[1]:e[2],p=Math.ceil(u/2),d=a?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",h=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",g="";i&&(o?f= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { i }
} ` :l?f= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { i }
} ` :f= ` vec4 activation ( vec4 x ) {
$ { i }
} ` ,g="result = activation(result);");let b=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let y="rc.x",x="rc.x";e[0]<t[0]?y= ` imod ( rc . x , $ { e [ 0 ] } ) ` :t[0]<e[0]&&(x= ` imod ( rc . x , $ { t [ 0 ] } ) ` ),this.userCode= `
$ { f }
// Don't use uniform for sharedDimensionPacked for performance.
const float sharedDimension = $ { p } . 0 ;
vec4 dot2x2ARowBCol ( ivec3 rc ) {
vec4 result = vec4 ( 0 ) ;
int batchA = $ { y } ;
int batchB = $ { x } ;
for ( int i = 0 ; i < $ { p } ; i ++ ) {
vec4 a = getMatrixA ( batchA , $ { d } ) ;
vec4 b = getMatrixB ( batchB , $ { c } ) ;
// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
result += ( $ { h [ 0 ] } * $ { m [ 0 ] } ) ;
result += ( $ { h [ 1 ] } * $ { m [ 1 ] } ) ;
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}
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return result ;
}
void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = dot2x2ARowBCol ( rc ) ;
$ { b }
$ { g }
setOutput ( result ) ;
}
` }},lS={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},uS=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=T.assertAndGetBroadcastShape(t,n),this.userCode= `
float binaryOpComplex (
float areal , float aimag , float breal , float bimag ) {
$ { e }
}
void main ( ) {
float areal = getARealAtOutCoords ( ) ;
float aimag = getAImagAtOutCoords ( ) ;
float breal = getBRealAtOutCoords ( ) ;
float bimag = getBImagAtOutCoords ( ) ;
setOutput ( binaryOpComplex ( areal , aimag , breal , bimag ) ) ;
}
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` }},pS="return a * b;";function pk(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=T.upcastType(a.dtype,r.dtype);if(a.dtype==="complex64"){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),u=new uS(lS.REAL,a.shape,r.shape),p=new uS(lS.IMAG,a.shape,r.shape),d=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:a.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:a.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}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m= $ s({inputs:{real:c,imag:h},backend:n});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}if(n.shouldExecuteOnCPU([a,r])){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),[u,p]=yQ(a.shape,r.shape,o.values,l.values,s),d=n.makeTensorInfo(p,s),c=n.texData.get(d.dataId);return c.values=u,d}let i;return G().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new hp(pS,a.shape,r.shape):i=new ki(pS,a.shape,r.shape),n.runWebGLProgram(i,[a,r],s)}var kee={kernelName:bo,backendName:"webgl",kernelFunc:pk};function Iee(e,t,n){let a=[vi(e.shape),...wi(e.shape)],r={dtype:e.dtype,shape:a,dataId:e.dataId},s=[vi(t),...wi(t)],i=new AA(s,a),o=!0,l=[a],u=n.runWebGLProgram(i,[r],e.dtype,l,o);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function ce(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=n,o=w.sizeFromShape(r.shape),l=w.inferFromImplicitShape(s,o),u=w.sizeFromShape(l);w.assert(o===u,()=> ` The new shape ( $ { l } ) has $ { u } elements and the old shape ( $ { r . shape } ) has $ { o } elements . The new shape and old shape must have the same number of elements . ` );let p=i.texData.get(r.dataId);return p.isPacked&&!Tc(r.shape,l)&&!(p.texture!==null&&Tc(p.shape,l))?Iee(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var See={kernelName:Ru,backendName:"webgl",kernelFunc:ce},cS=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i=Math.floor(n/4)*4,o=n%4,l="sumValue += dot(values, ones);";if(t!=null){let p=1/t;l= ` sumValue += dot ( values * $ { w . isInt ( p ) ? p . toPrecision ( 2 ) : p } , ones ) ; ` }let u="";r%n>0&&(u= `
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if ( inIdx < 0 || inIdx >= $ { r } ) {
return 0.0 ;
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}
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` ),this.userCode= `
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float getValue ( int batch , int inIdx ) {
$ { u }
return getX ( batch , inIdx ) ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
float sumValue = 0.0 ;
for ( int i = 0 ; i < $ { i } ; i += 4 ) {
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
$ { l }
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}
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int inIdx = inOffset + $ { i } ;
if ( $ { o === 1 } ) {
vec4 values = vec4 ( getValue ( batch , inIdx ) , 0.0 , 0.0 , 0.0 ) ;
$ { l }
} else if ( $ { o === 2 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) , 0.0 , 0.0 ) ;
$ { l }
} else if ( $ { o === 3 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) , 0.0 ) ;
$ { l }
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}
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setOutput ( sumValue ) ;
}
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` }},Nee=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(n/4)*4,p=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 ] ;
} else {
minMaxValue = $ { o } ( values , minMaxValue ) ;
if ( $ { t === "min" } || $ { t === "max" } ) {
minMaxValue = $ { o } ( values , minMaxValue ) ;
bvec4 isNaN = isnan ( values ) ;
if ( isNaN . r || isNaN . g || isNaN . b || isNaN . a ) {
minMaxValue = vec4 ( NAN ) ;
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}
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}
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}
` ,c="vec4";t==="all"?(i="1.0",d= `
bool reducedAllValue = all ( values ) ;
float floatedReducedAllValue = float ( reducedAllValue ) ;
allValue = float ( allValue >= 1.0 && floatedReducedAllValue >= 1.0 ) ;
` ,c="bvec4"):t==="any"&&(i="0.0",d= `
bool reducedAnyValue = any ( values ) ;
float floatedReducedAnyValue = float ( reducedAnyValue ) ;
anyValue = float ( anyValue >= 1.0 || floatedReducedAnyValue >= 1.0 ) ;
` ,c="bvec4");let h="";r%n>0&&(h= `
if ( inIdx < 0 || inIdx >= $ { r } ) {
return initializationValue ;
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}
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` ),this.userCode= `
const float initializationValue = $ { i } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float getValue ( int batch , int inIdx ) {
$ { h }
return getX ( batch , inIdx ) ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
vec4 minMaxValue = vec4 ( $ { i } ) ;
float prodValue = 1.0 ;
float sumValue = 0.0 ;
float allValue = 1.0 ;
float anyValue = 0.0 ;
for ( int i = 0 ; i < $ { u } ; i += 4 ) {
int inIdx = inOffset + i ;
$ { c } values = $ { c } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
$ { d }
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}
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int inIdx = inOffset + $ { u } ;
if ( $ { p === 1 } ) {
$ { c } values = $ { c } (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { d }
} else if ( $ { p === 2 } ) {
$ { c } values = $ { c } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
$ { d }
} else if ( $ { p === 3 } ) {
$ { c } values = $ { c } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
$ { d }
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}
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setOutput ( $ { l } ) ;
}
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` }};function Tee(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],a=T.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:a,outSize:Math.ceil(n/a)})}return t}function el(e,t,n,a){let r=Tee(e.shape),s=e;for(let i=0;i<r.length;i++){let{inSize:o,windowSize:l,outSize:u}=r[i],p,d;n==="mean"?p=i===0?new cS({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:u},o):new cS({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:u}):p=new Nee({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:u},n),d=s,s=a.runWebGLProgram(p,[s],t),d.dataId!==e.dataId&&a.disposeIntermediateTensorInfo(d)}return s}var Cee=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[t[s]];this.outputShape=n,this.rank=n.length;let a=ht(this.rank),r=Eee(t);this.userCode= `
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void main ( ) {
$ { a } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { r } ) ) ;
}
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` }};function Eee(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"],a=new Array(t);for(let r=0;r<e.length;r++)a[e[r]]=n[r];return a.join()}var _ee=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 a=ht(this.rank),r=_A("rc",this.rank),s=new Array(this.rank);for(let u=0;u<t.length;u++)s[t[u]]=r[u];let i= ` vec2 ( $ { s . slice ( - 2 ) . join ( ) } ) ` ,o= ` ++ $ { r [ this . rank - 1 ] } < $ { n [ this . rank - 1 ] } ` ,l= ` getChannel ( getA ( $ { s . join ( ) } ) , $ { i } ) ` ;this.userCode= `
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void main ( ) {
$ { a } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result [ 0 ] = $ { l } ;
if ( $ { o } ) {
result [ 1 ] = $ { l } ;
}
-- $ { r [ this . rank - 1 ] } ;
if ( ++ $ { r [ this . rank - 2 ] } < $ { n [ this . rank - 2 ] } ) {
result [ 2 ] = $ { l } ;
if ( $ { o } ) {
result [ 3 ] = $ { l } ;
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}
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}
setOutput ( result ) ;
}
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` }};function Bf(e,t,n){let a=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new _ee(e.shape,t):new Cee(e.shape,t);return n.runWebGLProgram(a,[e],e.dtype)}function Aee(e,t,n,a){let r=t,s=e.shape.length,i=w.parseAxisParam(r,e.shape),o=i,l=T.getAxesPermutation(o,s),u=l!=null,p=e;u&&(p=Bf(e,l,a),o=T.getInnerMostAxes(o.length,s)),T.assertAxesAreInnerMostDims("sum",o,s);let[d,c]=T.computeOutAndReduceShapes(p.shape,o),h=d;n&&(h=T.expandShapeToKeepDim(d,i));let m=w.sizeFromShape(c),f=w.sizeFromShape(e.shape)/m,g=ce({inputs:{x:p},attrs:{shape:[f,m]},backend:a}),b=Mm(e.dtype),y=el(g,b,"sum",a),x=ce({inputs:{x:y},attrs:{shape:h},backend:a});return a.disposeIntermediateTensorInfo(g),a.disposeIntermediateTensorInfo(y),u&&a.disposeIntermediateTensorInfo(p),x}function Vf(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;return Aee(r,s,i,n)}var Fee={kernelName:Lo,backendName:"webgl",kernelFunc:Vf};function Sn(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{perm:s}=a,i=n,o=r.shape.length,l=new Array(o);for(let p=0;p<l.length;p++)l[p]=r.shape[s[p]];let u;if(i.shouldExecuteOnCPU([r])){let p=i.texData.get(r.dataId).values,d=ok(p,r.shape,r.dtype,s,l);u=i.makeTensorInfo(l,r.dtype);let c=i.texData.get(u.dataId);c.values=d}else u=Bf(r,s,i);return u}var $ ee={kernelName:Cr,backendName:"webgl",kernelFunc:Sn},LA=1e3;function hm({a:e,b:t,transposeA:n,transposeB:a,backend:r,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:o=0,activation:l=null}){let u=e.shape.length,p=t.shape.length,d=n?e.shape[u-2]:e.shape[u-1],c=a?t.shape[p-1]:t.shape[p-2],h=n?e.shape[u-1]:e.shape[u-2],m=a?t.shape[p-2]:t.shape[p-1],f=e.shape.slice(0,-2),g=t.shape.slice(0,-2),b=w.sizeFromShape(f),y=w.sizeFromShape(g),x=Ju.assertAndGetBroadcastShape(e.shape.slice(0,-2),t.shape.slice(0,-2)).concat([h,m]);w.assert(d===c,()=> ` Error in matMul : inner shapes ( $ { d } ) and ( $ { c } ) of Tensors with shapes $ { e . shape } and $ { t . shape } and transposeA = $ { n } and transposeB = $ { a } must match . ` );let v=n?[b,d,h]:[b,h,d],I=a?[y,m,c]:[y,c,m],N=ce({inputs:{x:e},backend:r,attrs:{shape:v}}),C=ce({inputs:{x:t},backend:r,attrs:{shape:I}}),_=[N,C],F=Math.max(b,y),D=n?N.shape[1]:N.shape[2], $ =s!=null,S=i!=null,M=l==="leakyrelu",B=l!=null?Cc(l,!0):null,U= $ ||S||M||B!=null,H;if((h===1||m===1)&&D>LA&&U===!1){let K=N,Z=C;n&&(K=Sn({inputs:{x:N},backend:r,attrs:{perm:[0,2,1]}}),_.push(K)),a&&(Z=Sn({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),_.push(Z));let J=m!==1,ee=m===1,ae=K;J&&(ae=ce({inputs:{x:K},backend:r,attrs:{shape:[F,D,1]}}),_.push(ae));let te=m===1?2:1,se=Z;ee&&(se=ce({inputs:{x:Z},backend:r,attrs:{shape:[F,1,D]}}),_.push(se));let ie=pk({inputs:{a:ae,b:se},backend:r});H=Vf({inputs:{x:ie},backend:r,attrs:{axis:te,keepDims:!0}}),_.push(ie)}else{let K=fa(e.dtype,t.dtype),Z=new PA(v,I,[F,h,m],n,a, $ ,B,S,M),J=[N,C];if(s!=null&&J.push(s),S&&J.push(i),M){let ee=r.makeTensorInfo([],"float32",w.createScalarValue(o,"float32"));J.push(ee),_.push(ee)}H=r.runWebGLProgram(Z,J,K)}let q=ce({inputs:{x:H},backend:r,attrs:{shape:x}});_.push(H);for(let K of _)r.disposeIntermediateTensorInfo(K);return q}function Dee(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a;return hm({a:r,b:s,transposeA:l,transposeB:u,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:d,activation:p})}var Ree={kernelName:ii,backendName:"webgl",kernelFunc:Dee},dS="return abs(x);";function Mee(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])&&a.dtype!=="complex64"){let s=n.texData.get(a.dataId),i=CA(s.values);return n.makeTensorInfo(a.shape,a.dtype,i)}let r;return G().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new ts(a.shape,dS):r=new rr(a.shape,dS),n.runWebGLProgram(r,[a],a.dtype)}var Oee={kernelName:Yl,backendName:"webgl",kernelFunc:Mee},Pee=Da+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return acos ( x ) ;
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` ,Lee=Ze({opSnippet:Pee}),zee={kernelName:Ni,backendName:"webgl",kernelFunc:Lee},Wee=Da+ `
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if ( x < 1.0 ) return NAN ;
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return log ( x + sqrt ( x * x - 1.0 ) ) ; ` ,Bee=Ze({opSnippet:Wee}),Vee={kernelName:Ti,backendName:"webgl",kernelFunc:Bee},hS="return a + b;",Uee=hn({opSnippet:hS,packedOpSnippet:hS,supportsComplex:!0,cpuKernelImpl:Z9}),Gee={kernelName:vs,backendName:"webgl",kernelFunc:Uee},Hee=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=> ` T$ { s } ` );let n=[];this.variableNames.forEach(r=>{n.push( ` float v$ { r } = get$ { r } AtOutCoords ( ) ; ` )});let a=this.variableNames.map(r=> ` v$ { r } ` ).join(" + ");this.userCode= `
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void main ( ) {
$ { n . join ( `
` )}
float result = $ { a } ;
setOutput ( result ) ;
}
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` }},jee=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=> ` T$ { s } ` );let n=[];this.variableNames.forEach(r=>{n.push( ` vec4 v$ { r } = get$ { r } AtOutCoords ( ) ; ` )});let a=this.variableNames.map(r=> ` v$ { r } ` ).join(" + ");this.userCode= `
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void main ( ) {
$ { n . join ( `
` )}
vec4 result = $ { a } ;
setOutput ( result ) ;
}
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` }};function Bh(e){let{inputs:t,backend:n}=e,a=t;if(a.length===1)return ta({inputs:{x:a[0]},backend:n});if(a.length>G().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(a.length/2),l=Bh({inputs:a.slice(0,o),backend:n}),u=Bh({inputs:a.slice(o),backend:n});return Bh({inputs:[l,u],backend:n})}let r=a.map(o=>o.dtype).reduce((o,l)=>fa(o,l)),s=a.map(o=>o.shape),i=G().getBool("WEBGL_PACK")?new jee(a[0].shape,s):new Hee(a[0].shape,s);return n.runWebGLProgram(i,a,r)}var qee={kernelName:Ci,backendName:"webgl",kernelFunc:Bh};function Kee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=w.parseAxisParam(s,r.shape),u=l,p=T.getAxesPermutation(u,o),d=r;p!=null&&(d=Sn({inputs:{x:r},backend:n,attrs:{perm:p}}),u=T.getInnerMostAxes(u.length,o)),T.assertAxesAreInnerMostDims("all",u,o);let[c,h]=T.computeOutAndReduceShapes(d.shape,u),m=w.sizeFromShape(h),f=ce({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=el(f,f.dtype,"all",n),b;if(i){let y=T.expandShapeToKeepDim(c,l);b=ce({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=ce({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var Xee={kernelName:Zl,backendName:"webgl",kernelFunc:Kee};function Yee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=w.parseAxisParam(s,r.shape),u=l,p=T.getAxesPermutation(u,o),d=r;p!=null&&(d=Sn({inputs:{x:r},backend:n,attrs:{perm:p}}),u=T.getInnerMostAxes(u.length,o)),T.assertAxesAreInnerMostDims("any",u,o);let[c,h]=T.computeOutAndReduceShapes(d.shape,u),m=w.sizeFromShape(h),f=ce({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=el(f,f.dtype,"any",n),b;if(i){let y=T.expandShapeToKeepDim(c,l);b=ce({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=ce({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var Zee={kernelName:Jl,backendName:"webgl",kernelFunc:Yee},Jee=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:a,batchSize:r,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,s];let i=t==="max"?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { a } ;
int bestIndex = inOffset ;
float bestValue = getA ( batch , bestIndex ) ;
for ( int i = 0 ; i < $ { a } ; i ++ ) {
int inIdx = $ { o } ;
float candidate = getA ( batch , inIdx ) ;
if ( candidate $ { i } bestValue ) {
bestValue = candidate ;
bestIndex = inIdx ;
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}
}
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setOutput ( float ( bestIndex ) ) ;
}
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` }},Qee=class{constructor(e,t,n,a){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],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),a||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=ht(o),u=In("coords",o),p,d;if(s===1){d=o+1;let C=ht(d);p= `
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$ { C } sourceLocR = $ { C } ( $ { u . join ( ) } , 0 ) ;
++ $ { u [ o - 1 ] } ;
$ { C } sourceLocG = $ { C } ( $ { u . join ( ) } , 0 ) ;
++ $ { u [ o - 2 ] } ;
$ { C } sourceLocA = $ { C } ( $ { u . join ( ) } , 0 ) ;
-- $ { u [ o - 1 ] } ;
$ { C } sourceLocB = $ { C } ( $ { u . join ( ) } , 0 ) ;
-- $ { u [ o - 2 ] } ; ` }else d=o,p= `
$ { l } sourceLocR = coords ;
++ $ { u [ o - 1 ] } ;
$ { l } sourceLocG = coords ;
++ $ { u [ o - 2 ] } ;
$ { l } sourceLocA = coords ;
-- $ { u [ o - 1 ] } ;
$ { l } sourceLocB = coords ;
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-- $ { u [ o - 2 ] } ; ` ;let c=["x","y","z","w","u","v"].slice(0,d),h="."+c[d-1],m=c.map(C=>"int "+C),f=In("sourceLocR",d-1).concat("inIdx.r"),g=In("sourceLocG",d-1).concat("inIdx.g"),b=In("sourceLocB",d-1).concat("inIdx.b"),y=In("sourceLocA",d-1).concat("inIdx.a"),x=n==="max"?"greaterThan":"lessThan",v=a?"": `
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inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { f . join ( ) } ) ,
getBestIndicesAChannel ( $ { g . join ( ) } ) ,
getBestIndicesAChannel ( $ { b . join ( ) } ) ,
getBestIndicesAChannel ( $ { y . join ( ) } ) ) ) ; ` ,I= ` vec4 (
getAChannel ( $ { f . join ( ) } ) ,
hasNextCol ? getAChannel ( $ { g . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { b . join ( ) } ) : 0. ,
hasNextRow && hasNextCol ? getAChannel ( $ { y . join ( ) } ) : 0. ) ` ,N=a?"": `
float getBestIndicesAChannel ( $ { m . join ( ) } ) {
return getChannel ( getBestIndicesA ( $ { c . join ( ) } ) ,
vec2 ( $ { c . slice ( - 2 ) . join ( ) } ) ) ;
} ` ;this.userCode= `
float getAChannel ( $ { m . join ( ) } ) {
return getChannel ( getA ( $ { c . join ( ) } ) ,
vec2 ( $ { c . slice ( - 2 ) . join ( ) } ) ) ;
}
$ { N }
void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
bool hasNextCol = $ { u [ o - 1 ] } < $ { i [ o - 1 ] - 1 } ;
bool hasNextRow = $ { u [ o - 2 ] } < $ { i [ o - 2 ] - 1 } ;
$ { p }
ivec4 srcIdx = ivec4 ( sourceLocR$ { h } , sourceLocG$ { h } ,
sourceLocB$ { h } , sourceLocA$ { h } ) * $ { t } ;
ivec4 inIdx = srcIdx ;
vec4 bestIndex = vec4 ( inIdx ) ;
vec4 bestValue = $ { I } ;
for ( int i = 0 ; i < $ { t } ; i ++ ) {
inIdx = srcIdx ;
$ { v }
vec4 candidate = $ { I } ;
bvec4 nan = isnan ( candidate ) ;
bvec4 replace = bvec4 (
vec4 ( $ { x } ( candidate , bestValue ) ) * ( vec4 ( 1.0 ) - vec4 ( nan ) ) ) ;
bestValue = vec4 ( replace . x ? candidate . x : bestValue . x ,
replace . y ? candidate . y : bestValue . y ,
replace . z ? candidate . z : bestValue . z ,
replace . w ? candidate . w : bestValue . w ) ;
bestIndex = mix ( bestIndex , vec4 ( inIdx ) , vec4 ( replace ) ) ;
srcIdx ++ ;
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}
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setOutput ( bestIndex ) ;
}
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` }};function zA(e,t,n,a=null){let r=t.shape[0],s=t.shape[1];a!=null&&(r=a.shape[0],s=a.shape[1]);let i=T.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new Jee(o,n,a==null),u=[t];a!=null&&u.push(a);let p=e.runWebGLProgram(l,u,"int32");if(p.shape[1]===1)return p;let d=zA(e,t,n,p);return e.disposeIntermediateTensorInfo(p),d}function WA(e,t,n,a=null){let r=a!=null?a.shape:t.shape,s=r[r.length-1],i=T.computeOptimalWindowSize(s),o=new Qee(r,i,n,a==null),l=a==null?[t]:[t,a],u=e.runWebGLProgram(o,l,"int32");if(u.shape.length===t.shape.length){let p=WA(e,t,n,u);return e.disposeIntermediateTensorInfo(u),p}return u}function BA(e,t,n,a){let r=[n];if(T.assertAxesAreInnerMostDims("arg"+a.charAt(0).toUpperCase()+a.slice(1),r,t.shape.length),!G().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=e.texData.get(t.dataId),o=i!==null&&i.isPacked,l=t;o&&(l=e.unpackTensor(t),s.push(l));let[u,p]=T.computeOutAndReduceShapes(l.shape,r),d=w.sizeFromShape(p),c=ce({inputs:{x:l},backend:e,attrs:{shape:[-1,d]}});s.push(c);let h=zA(e,c,a);s.push(h);let m=ce({inputs:{x:h},backend:e,attrs:{shape:u}});return s.forEach(f=>e.disposeIntermediateTensorInfo(f)),m}return WA(e,t,a)}function ete(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=w.parseAxisParam(s,r.shape),o=T.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Sn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=T.getInnerMostAxes(i.length,l.shape.length)),T.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=BA(n,l,i[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var tte={kernelName:Ql,backendName:"webgl",kernelFunc:ete};function nte(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=w.parseAxisParam(s,r.shape),o=T.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=Sn({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=T.getInnerMostAxes(i.length,l.shape.length)),T.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=BA(n,l,i[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var ate={kernelName:eu,backendName:"webgl",kernelFunc:nte},rte=Da+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return asin ( x ) ;
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` ,ste=Ze({opSnippet:rte}),ite={kernelName:Ei,backendName:"webgl",kernelFunc:ste},ote=Da+"return log(x + sqrt(x * x + 1.0));",lte=Ze({opSnippet:ote}),ute={kernelName:_i,backendName:"webgl",kernelFunc:lte},pte=Da+ `
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return atan ( x ) ;
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` ,cte=Ze({opSnippet:pte}),dte={kernelName:Ai,backendName:"webgl",kernelFunc:cte},hte=uk+ `
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return atan ( a , b ) ;
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` ,mte= `
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vec4 result = atan ( a , b ) ;
bvec4 isNaNA = isnan ( a ) ;
bvec4 isNaNB = isnan ( b ) ;
bvec4 isNaN = bvec4 ( isNaNA . x || isNaNB . x , isNaNA . y || isNaNB . y , isNaNA . z || isNaNB . z , isNaNA . w || isNaNB . w ) ;
` +Qo+ `
return result ;
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` ,fte=hn({opSnippet:hte,packedOpSnippet:mte}),gte={kernelName: $ i,backendName:"webgl",kernelFunc:fte},bte=Da+ `
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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 ; ` ,yte=Ze({opSnippet:bte}),xte={kernelName:Fi,backendName:"webgl",kernelFunc:yte},Ec=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterHeight,d=e.effectiveFilterWidth,c=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let m=t==="avg",f= ` ( ( batch * $ { e . inHeight } + xR ) * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,g= ` ( xR * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,b="0.0";if(m||(b="-1.0 / 1e-20"),n){let C=">=";this.userCode= `
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const ivec2 strides = ivec2 ( $ { i } , $ { o } ) ;
const ivec2 pads = ivec2 ( $ { c } , $ { h } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
float avgValue = 0.0 ;
for ( int wR = 0 ; wR < $ { p } ;
wR += $ { l } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { d } ;
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 ) ;
if ( value $ { C } currMinMaxValue ) {
minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { a ? r ? f : g : ` wR * ${ d } + wC ` } ;
}
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}
}
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setOutput ( float ( minMaxPosition ) ) ;
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}
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` ;return}let y="max",x= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(x="avgValue / max(count, 1.0)");let v=Math.floor(s/4)*4,I=s%4,N= `
if ( $ { m } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { y } ( values , minMaxValue ) ;
}
` ;this.userCode= `
const ivec2 strides = ivec2 ( $ { i } , $ { o } ) ;
const ivec2 pads = ivec2 ( $ { c } , $ { h } ) ;
const float initializationValue = $ { b } ;
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 ;
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}
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count += 1.0 ;
return getX ( batch , xR , xC , d ) ;
}
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { b } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
for ( int wR = 0 ; wR < $ { p } ;
wR += $ { l } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { v } ; wC += 4 ) {
int xC = xCCorner + wC * $ { u } ;
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
getValue ( batch , xR , xC + 2 * $ { u } , d ) ,
getValue ( batch , xR , xC + 3 * $ { u } , d )
) ;
$ { N }
}
int xC = xCCorner + $ { v } ;
if ( $ { I === 1 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { N }
} else if ( $ { I === 2 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
initializationValue ,
initializationValue
) ;
$ { N }
} else if ( $ { I === 3 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
getValue ( batch , xR , xC + 2 * $ { u } , d ) ,
initializationValue
) ;
$ { N }
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}
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}
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setOutput ( $ { x } ) ;
}
` }},ck=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,p=e.dilationHeight,d=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.front,g=e.padInfo.top,b=e.padInfo.left;this.outputShape=e.outShape;let y=t==="avg",x="0.0";if(y||(x="-1.0 / 1e-20"),n){let F=">=";this.userCode= `
const ivec3 strides =
ivec3 ( $ { i } , $ { o } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { f } , $ { g } , $ { b } ) ;
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
for ( int wD = 0 ; wD < $ { c } ;
wD += $ { u } ) {
int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
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}
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for ( int wR = 0 ; wR < $ { h } ;
wR += $ { p } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int wC = 0 ; wC < $ { m } ;
wC += $ { d } ) {
int xC = xCCorner + wC ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float value = getX ( batch , xD , xR , xC , ch ) ;
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
if ( value $ { F } currMinMaxValue ) {
minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { a ? 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 } * ${ m } +
wR * $ { m } + wC ` };
}
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}
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}
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}
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setOutput ( float ( minMaxPosition ) ) ;
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}
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` ;return}let v="max",I= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(I="avgValue / max(count, 1.0)");let N=Math.floor(s/4)*4,C=s%4,_= `
if ( $ { y } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { v } ( values , minMaxValue ) ;
}
` ;this.userCode= `
const ivec3 strides =
ivec3 ( $ { i } , $ { o } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { f } , $ { g } , $ { b } ) ;
const float initializationValue = $ { x } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float count = 0.0 ;
float getValue ( int batch , int xD , int xR , int xC , int ch ) {
if ( xC < 0 || xC >= $ { e . inWidth } ) {
return initializationValue ;
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}
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count += 1.0 ;
return getX ( batch , xD , xR , xC , ch ) ;
}
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { x } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
for ( int wD = 0 ; wD < $ { c } ;
wD += $ { u } ) {
int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
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}
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for ( int wR = 0 ; wR < $ { h } ;
wR += $ { p } ) {
int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { N } ; wC += 4 ) {
int xC = xCCorner + wC * $ { d } ;
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { d } , ch ) ,
getValue ( batch , xD , xR , xC + 3 * $ { d } , ch )
) ;
$ { _ }
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}
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int xC = xCCorner + $ { N } ;
if ( $ { C === 1 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { _ }
} else if ( $ { C === 2 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
initializationValue ,
initializationValue
) ;
$ { _ }
} else if ( $ { C === 3 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { d } , ch ) ,
initializationValue
) ;
$ { _ }
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}
}
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}
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setOutput ( $ { I } ) ;
}
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` }};function vte(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;lp(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;w.assert(T.eitherStridesOrDilationsAreOne(i,u),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${u}' ` );let p=T.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&w.arraysEqual(p.inShape,p.outShape))return ta({inputs:{x:r},backend:n});let d=new Ec(p,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var wte={kernelName:Di,backendName:"webgl",kernelFunc:vte};function kte(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a,p=[1,1,1],d=T.computePool3DInfo(r.shape,s,i,p,o,l,u),c=new ck(d,"avg",!1);return n.runWebGLProgram(c,[r],"float32")}var Ite={kernelName:tu,backendName:"webgl",kernelFunc:kte},Ste=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,p=l-1-e.padInfo.left,d=1/(t*n);this.userCode= `
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const ivec2 pads = ivec2 ( $ { u } , $ { p } ) ;
const float avgMultiplier = float ( $ { d } ) ;
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 < $ { o } ;
wR += $ { s } ) {
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { l } ;
wC += $ { i } ) {
float dyC = float ( dyCCorner + wC ) / $ { r } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
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continue ;
}
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int idyC = int ( dyC ) ;
float dyValue = getDy ( b , idyR , idyC , d ) ;
dotProd += dyValue * avgMultiplier ;
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}
}
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setOutput ( dotProd ) ;
}
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` }},Nte=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterDepth,d=e.effectiveFilterHeight,c=e.effectiveFilterWidth,h=p-1-e.padInfo.front,m=d-1-e.padInfo.top,f=c-1-e.padInfo.left,g=1/(t*n*a);this.userCode= `
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const ivec3 pads = ivec3 ( $ { h } , $ { m } , $ { f } ) ;
const float avgMultiplier = float ( $ { g } ) ;
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wD = 0 ; wD < $ { p } ;
wD += $ { o } ) {
float dyD = float ( dyDCorner + wD ) / $ { r } . 0 ;
if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
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}
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int idyD = int ( dyD ) ;
for ( int wR = 0 ; wR < $ { d } ;
wR += $ { l } ) {
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { c } ;
wC += $ { u } ) {
float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
dotProd += dyValue * avgMultiplier ;
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}
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}
}
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setOutput ( dotProd ) ;
}
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` }};function Tte(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=T.computePool3DInfo(i.shape,o,l,d,u,p),h=new Nte(c);return n.runWebGLProgram(h,[r],i.dtype)}var Cte={kernelName:Rc,backendName:"webgl",kernelFunc:Tte};function Ete(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;lp([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=T.computePool2DInfo(i.shape,o,l,1,u),d=new Ste(p);return n.runWebGLProgram(d,[r],i.dtype)}var _te={kernelName:Dc,backendName:"webgl",kernelFunc:Ete};function Ate(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;return hm({a:r,b:s,transposeA:i,transposeB:o,backend:n})}var Fte={kernelName:Ri,backendName:"webgl",kernelFunc:Ate}, $ te=class{constructor(e,t,n,a,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],T.assertAndGetBroadcastShape(e,t),T.assertAndGetBroadcastShape(e,n);let i="0.0";a!=null&&(T.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(T.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
float x = getXAtOutCoords ( ) ;
float mean = getMeanAtOutCoords ( ) ;
float variance = getVarianceAtOutCoords ( ) ;
float offset = $ { i } ;
float scale = $ { o } ;
float inv = scale * inversesqrt ( variance + float ( $ { s } ) ) ;
setOutput ( dot ( vec3 ( x , - mean , offset ) , vec3 ( inv , inv , 1 ) ) ) ;
}
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` }},Dte=class{constructor(e,t,n,a,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],T.assertAndGetBroadcastShape(e,t),T.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";a!=null&&(T.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(T.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
vec4 offset = $ { i } ;
vec4 scale = $ { o } ;
vec4 x = getXAtOutCoords ( ) ;
vec4 mean = getMeanAtOutCoords ( ) ;
vec4 variance = getVarianceAtOutCoords ( ) ;
vec4 inv = scale * inversesqrt ( variance + vec4 ( $ { s } ) ) ;
setOutput ( ( x - mean ) * inv + offset ) ;
}
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` }},Rte=({inputs:e,backend:t,attrs:n})=>{let{x:a,mean:r,variance:s,offset:i,scale:o}=e;w.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),w.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),w.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let u=[a,r,s],p=null;i!=null&&(p=i.shape,u.push(i));let d=null;o!=null&&(d=o.shape,u.push(o));let c=G().getBool("WEBGL_PACK_NORMALIZATION")?new Dte(a.shape,r.shape,s.shape,p,d,l):new $ te(a.shape,r.shape,s.shape,p,d,l);return t.runWebGLProgram(c,u,u[0].dtype)},Mte={kernelName:Ji,backendName:"webgl",kernelFunc:Rte},Ote=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=ht(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=Pte(this.rank),a,r=e.map((s,i)=> ` sourceLoc . $ { mv [ i ] } = start [ $ { i } ] + coords . $ { mv [ i ] } ; ` );a= `
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$ { t } sourceLoc ;
$ { t } coords = getOutputCoords ( ) ;
$ { r . join ( `
` )}
` ,this.userCode= `
void main ( ) {
$ { a }
setOutput ( getSource ( $ { n } ) ) ;
}
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` }},mv=["x","y","z","w","u","v"];function Pte(e){if(e===1)return"sourceLoc";if(e<=6)return mv.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error( ` Slicing for rank $ { e } is not yet supported ` )}var Lte=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=ht(this.rank),n=In("coords",this.rank),a=In("sourceLoc",this.rank),r=this.rank===1?"sourceLoc": ` vec2 ( $ { a . slice ( - 2 ) . join ( ) } ) ` ,s= ` getChannel ( getSource ( $ { a . join ( ) } ) , $ { r } ) ` ,i= `
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result . x = $ { s } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { a [ this . rank - 1 ] } ;
result . y = $ { s } ;
-- $ { a [ this . rank - 1 ] } ;
}
` ,o=this.rank===1?"": `
-- $ { n [ this . rank - 1 ] } ;
if ( ++ $ { n [ this . rank - 2 ] } < $ { e [ this . rank - 2 ] } ) {
++ $ { a [ this . rank - 2 ] } ;
result . z = $ { s } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { a [ this . rank - 1 ] } ;
result . w = $ { s } ;
}
}
` ,l=this.rank<=4? ` sourceLoc = coords +
$ { t } ( $ { e . map ( ( u , p ) => ` start[ ${ p } ] ` ) . join ( ) } ) ; ` :e.map((u,p)=> ` $ { a [ p ] } = $ { n [ p ] } + start [ $ { p } ] ; ` ).join( `
` );this.userCode= `
void main ( ) {
$ { t } coords = getOutputCoords ( ) ;
$ { t } sourceLoc ;
$ { l }
vec4 result = vec4 ( 0. ) ;
$ { i }
$ { o }
setOutput ( result ) ;
}
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` }};function zte(e,t,n,a){let r=a.texData.get(e.dataId),s=a.makeTensorInfo(n,e.dtype),i=a.texData.get(s.dataId);Object.assign(i,r),i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=Kt.computeFlatOffset(t,w.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=a.dataRefCount.get(i.slice.origDataId)||1;return a.dataRefCount.set(i.slice.origDataId,l+1),s}function fp(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a,[o,l]=Kt.parseSliceParams(r,s,i);if(Kt.assertParamsValid(r,o,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),c=_Q(d.values,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,c)}let{isPacked:u}=n.texData.get(r.dataId),p=Kt.isSliceContinous(r.shape,o,l);if(u||!p){let d=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Lte(l):new Ote(l),c=[o];return n.runWebGLProgram(d,[r],r.dtype,c)}return n.uploadToGPU(r.dataId),zte(r,o,l,n)}var Wte={kernelName:Bu,backendName:"webgl",kernelFunc:fp},Bte=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;w.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,x)=>y*x),l=T.getReshaped(r.shape,s,o),u=T.getPermuted(l.length,s.length),p=T.getReshapedPermuted(r.shape,s,o),d=T.getSliceBeginCoords(i,s.length),c=T.getSliceSize(p,i,s.length),h=[],m=ce({inputs:{x:r},backend:n,attrs:{shape:l}}),f=Sn({inputs:{x:m},backend:n,attrs:{perm:u}}),g=ce({inputs:{x:f},backend:n,attrs:{shape:p}}),b=fp({inputs:{x:g},backend:n,attrs:{begin:d,size:c}});return h.push(m),h.push(f),h.push(g),h.forEach(y=>n.disposeIntermediateTensorInfo(y)),b},Vte={kernelName:nu,backendName:"webgl",kernelFunc:Bte};function Ute(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.readSync(r.dataId),l=n.readSync(s.dataId),u=TA(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var Gte={kernelName:au,backendName:"webgl",kernelFunc:Ute},Hte= `
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int r = int ( a . r ) & int ( b . r ) ;
int g = int ( a . g ) & int ( b . g ) ;
int rb = int ( a . b ) & int ( b . b ) ;
int ra = int ( a . a ) & int ( b . a ) ;
return vec4 ( r , g , rb , ra ) ;
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` ,jte= `
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return float ( int ( a . r ) & int ( b . r ) ) ;
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` ;function qte(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=G().getBool("WEBGL_PACK_BINARY_OPERATIONS"),i=G().getNumber("WEBGL_VERSION");if(n.shouldExecuteOnCPU([a,r])||i===1){let l=n.texData.get(a.dataId).values,u=n.texData.get(r.dataId).values,[p,d]=Q9(a.shape,r.shape,l,u,a.dtype),c=n.makeTensorInfo(d,a.dtype),h=n.texData.get(c.dataId);return h.values=p,c}let o;return s?o=new hp(Hte,a.shape,r.shape,!1):o=new ki(jte,a.shape,r.shape),n.runWebGLProgram(o,[a,r],a.dtype)}var Kte={kernelName:ru,backendName:"webgl",kernelFunc:qte};function Xte(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.readSync(a.dataId),i=n.readSync(r.dataId),o=T.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var Yte={kernelName:Mc,backendName:"webgl",kernelFunc:Xte},Zte="return float(a != b);",VA=hn({opSnippet:Zte,cpuKernelImpl:vQ,dtype:"bool"}),Jte={kernelName:Eu,backendName:"webgl",kernelFunc:VA};function Fd(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return ta({inputs:{x:r.complexTensorInfos.real},backend:n})}var Qte={kernelName:Dm,backendName:"webgl",kernelFunc:Fd},ene="return float(int(x));";function tne(e,t){let n=new rr(e.shape,ene),a=t.runWebGLProgram(n,[e],"int32");return{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}function fv(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return ta({inputs:{x:r},backend:n});let i=It(r.shape),o=fv({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l= $ s({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=Fd({inputs:{input:r},backend:n}),o=fv({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!w.hasEncodingLoss(r.dtype,s)){let i=ta({inputs:{x:r},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(n.shouldExecuteOnCPU([r])){let i=n.texData.get(r.dataId).values,[o,l,u]=eQ(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}if(s==="int32")return tne(r,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",w.getTypedArrayFromDType("bool",1)),o=VA({inputs:{a:r,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error( ` Error in Cast : failed to cast $ { r . dtype } to $ { s } ` )}var nne={kernelName:Mi,backendName:"webgl",kernelFunc:fv},mS="return ceil(x);",ane=Ze({opSnippet:mS,packedOpSnippet:mS,cpuKernelImpl:tQ}),rne={kernelName:Oi,backendName:"webgl",kernelFunc:ane},sne=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode= `
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void main ( ) {
float value = getAAtOutCoords ( ) ;
if ( isnan ( value ) ) {
setOutput ( value ) ;
return ;
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}
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setOutput ( clamp ( value , minVal , maxVal ) ) ;
}
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` }},ine=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 ( ) ;
if ( any ( isnan ( value ) ) ) {
setOutput ( value ) ;
return ;
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}
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setOutput ( clamp ( value , vec4 ( minVal ) , vec4 ( maxVal ) ) ) ;
}
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` }};function one(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o;G().getBool("WEBGL_PACK_CLIP")?o=new ine(r.shape):o=new sne(r.shape);let l=[[s],[i]];return n.runWebGLProgram(o,[r],r.dtype,l)}var lne={kernelName:ws,backendName:"webgl",kernelFunc:one},une=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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` }};function fS(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function pne(e){let{inputs:t,backend:n}=e,{x:a}=t,r=n.texData.get(a.dataId),s=new une(a.shape),i=[fS(a,r.complexTensorInfos.real),fS(a,r.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}var cne={kernelName:Oc,backendName:"webgl",kernelFunc:pne},dne=class{constructor(e){this.outputShape=[],this.outputShape=T.computeOutShape(e,1),this.variableNames=e.map((s,i)=> ` T$ { i } ` );let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s<t.length;s++)t[s]=t[s-1]+e[s][1];let n=[ ` if ( yC < $ { t [ 0 ] } ) setOutput ( getT0 ( yR , yC ) ) ; ` ];for(let s=1;s<t.length;s++){let i=t[s-1];n.push( ` else if ( yC < $ { t [ s ] } ) setOutput ( getT$ { s } ( yR , yC - $ { i } ) ) ; ` )}let a=t.length,r=t[t.length-1];n.push( ` else setOutput ( getT$ { a } ( yR , yC - $ { r } ) ) ; ` ),this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int yR = coords . x ;
int yC = coords . y ;
$ { n . join ( `
` )}
}
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` }},hne=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=T.computeOutShape(e,t);let n=this.outputShape,a=n.length,r=ht(a),s=In("coords",a),i=["x","y","z","w","u","v"].slice(0,a);this.variableNames=e.map((m,f)=> ` T$ { f } ` );let o=new Array(e.length-1);o[0]=e[0][t];for(let m=1;m<o.length;m++)o[m]=o[m-1]+e[m][t];let l=i[t],u=i.slice(-2),p=i.join(),d= ` if ( $ { l } < $ { o [ 0 ] } ) {
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return getChannel (
getT0 ( $ { p } ) , vec2 ( $ { u . join ( ) } ) ) ;
} ` ;for(let m=1;m<o.length;m++){let f=o[m-1];d+= `
if ( $ { l } < $ { o [ m ] } && $ { l } >= $ { o [ m - 1 ] } ) {
return getChannel (
getT$ { m } ( $ { $h ( i , l , f ) } ) ,
vec2 ( $ { $h ( u , l , f ) } ) ) ;
} ` }let c=o.length,h=o[o.length-1];d+= `
return getChannel (
getT$ { c } ( $ { $h ( i , l , h ) } ) ,
vec2 ( $ { $h ( u , l , h ) } ) ) ; ` ,this.userCode= `
float getValue ( $ { i . map ( m => "int " + m ) } ) {
$ { d }
}
void main ( ) {
$ { r } coords = getOutputCoords ( ) ;
vec4 result = vec4 ( getValue ( $ { s } ) , 0. , 0. , 0. ) ;
$ { s [ a - 1 ] } = $ { s [ a - 1 ] } + 1 ;
if ( $ { s [ a - 1 ] } < $ { n [ a - 1 ] } ) {
result . g = getValue ( $ { s } ) ;
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}
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$ { s [ a - 2 ] } = $ { s [ a - 2 ] } + 1 ;
if ( $ { s [ a - 2 ] } < $ { n [ a - 2 ] } ) {
result . a = getValue ( $ { s } ) ;
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}
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$ { s [ a - 1 ] } = $ { s [ a - 1 ] } - 1 ;
if ( $ { s [ a - 2 ] } < $ { n [ a - 2 ] } &&
$ { s [ a - 1 ] } < $ { n [ a - 1 ] } ) {
result . b = getValue ( $ { s } ) ;
2022-10-18 13:10:36 +02:00
}
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setOutput ( result ) ;
}
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` }};function $ h(e,t,n){let a=e.indexOf(t);return e.map((r,s)=>s===a? ` $ { r } - $ { n } ` :r).join()}function Uf(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return ta({inputs:{x:r.complexTensorInfos.imag},backend:n})}var mne={kernelName:_m,backendName:"webgl",kernelFunc:Uf};function oc(e,t,n){let a=e[0].dtype;if(a==="complex64"){let h=e.map(y=>Fd({inputs:{input:y},backend:n})),m=e.map(y=>Uf({inputs:{input:y},backend:n})),f=oc(h,t,n),g=oc(m,t,n),b= $ s({inputs:{real:f,imag:g},backend:n});return h.forEach(y=>n.disposeIntermediateTensorInfo(y)),m.forEach(y=>n.disposeIntermediateTensorInfo(y)),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),b}let r=n.shouldExecuteOnCPU(e);if(a==="string"&&(r=!0),r){let h=e.map(v=>{let I=[-1,w.sizeFromShape(v.shape.slice(t))];return ce({inputs:{x:v},backend:n,attrs:{shape:I}})}),m=h.map(v=>({vals:n.readSync(v.dataId),shape:v.shape})),f=T.computeOutShape(h.map(v=>v.shape),1),g=h[0].shape[0]===1,b=nQ(m,f,a,g),y=T.computeOutShape(e.map(v=>v.shape),t),x=n.makeTensorInfo(y,a,b);return h.forEach(v=>n.disposeIntermediateTensorInfo(v)),x}let s=e.filter(h=>w.sizeFromShape(h.shape)>0),i=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&s[0].shape.length>1;if(s.length===1){let h=i?new rr(e[0].shape,Yr):new ts(e[0].shape,Yr);return n.runWebGLProgram(h,e,a)}let o=G().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(s.length>o){let h=[];for(let f=0;f<s.length;f+=o){let g=s.slice(f,f+o);h.push(oc(g,t,n))}let m=oc(h,t,n);for(let f of h)n.disposeIntermediateTensorInfo(f);return m}if(i){let h=new hne(s.map(m=>m.shape),t);return n.runWebGLProgram(h,s,a)}let{tensors2D:l,outShape:u}=fne(s,t,n),p=new dne(l.map(h=>h.shape)),d=n.runWebGLProgram(p,l,a);l.forEach(h=>n.disposeIntermediateTensorInfo(h));let c=ce({inputs:{x:d},attrs:{shape:u},backend:n});return n.disposeIntermediateTensorInfo(d),c}function fne(e,t,n){let a=T.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>ce({inputs:{x:r},attrs:{shape:[-1,w.sizeFromShape(r.shape.slice(t))]},backend:n})),outShape:a}}function UA(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a,s=w.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);T.assertParamsConsistent(i,s);let o=T.computeOutShape(t.map(u=>u.shape),s);if(w.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>w.sizeFromShape(u.shape)>0);return l.length===1?ta({inputs:{x:l[0]},backend:n}):oc(l,s,n)}var gne={kernelName:su,backendName:"webgl",kernelFunc:UA},GA=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,p=e.dilationWidth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4,f=e.dataFormat==="channelsLast",g=f?1:2,b=f?2:3,y=f?3:1,x="",v="";n&&(a?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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}
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` ,v="result = activation(result);");let I=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { x }
const ivec2 strides = ivec2 ( $ { o } , $ { l } ) ;
const ivec2 pads = ivec2 ( $ { s } , $ { i } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d2 = coords [ $ { y } ] ;
ivec2 xRCCorner =
ivec2 ( coords [ $ { g } ] , coords [ $ { b } ] ) * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { d } ; wR ++ ) {
int xR = xRCorner + wR * $ { u } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { c } ; wC ++ ) {
int xC = xCCorner + wC * $ { p } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
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}
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for ( int d1 = 0 ; d1 < $ { h } ; d1 += 4 ) {
vec4 wValues = vec4 (
getW ( wR , wC , d1 , d2 ) ,
getW ( wR , wC , d1 + 1 , d2 ) ,
getW ( wR , wC , d1 + 2 , d2 ) ,
getW ( wR , wC , d1 + 3 , d2 )
) ;
if ( $ { f } ) {
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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}
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if ( $ { m === 1 } ) {
if ( $ { f } ) {
dotProd +=
getX ( batch , xR , xC , $ { h } ) *
getW ( wR , wC , $ { h } , d2 ) ;
} else {
dotProd +=
getX ( batch , $ { h } , xR , xC ) *
getW ( wR , wC , $ { h } , d2 ) ;
}
} else if ( $ { m === 2 } ) {
vec2 wValues = vec2 (
getW ( wR , wC , $ { h } , d2 ) ,
getW ( wR , wC , $ { h } + 1 , d2 )
) ;
if ( $ { f } ) {
vec2 xValues = vec2 (
getX ( batch , xR , xC , $ { h } ) ,
getX ( batch , xR , xC , $ { h } + 1 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec2 xValues = vec2 (
getX ( batch , $ { h } , xR , xC ) ,
getX ( batch , $ { h } + 1 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
} else if ( $ { m === 3 } ) {
vec3 wValues = vec3 (
getW ( wR , wC , $ { h } , d2 ) ,
getW ( wR , wC , $ { h } + 1 , d2 ) ,
getW ( wR , wC , $ { h } + 2 , d2 )
) ;
if ( $ { f } ) {
vec3 xValues = vec3 (
getX ( batch , xR , xC , $ { h } ) ,
getX ( batch , xR , xC , $ { h } + 1 ) ,
getX ( batch , xR , xC , $ { h } + 2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec3 xValues = vec3 (
getX ( batch , $ { h } , xR , xC ) ,
getX ( batch , $ { h } + 1 , xR , xC ) ,
getX ( batch , $ { h } + 2 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
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}
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}
}
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float result = dotProd ;
$ { I }
$ { v }
setOutput ( result ) ;
}
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` }},bne=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,a=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.filterDepth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4;this.userCode= `
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const ivec3 strides = ivec3 ( $ { r } , $ { s } , $ { i } ) ;
const ivec3 pads = ivec3 ( $ { t } , $ { n } , $ { a } ) ;
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d2 = coords . u ;
ivec3 xFRCCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xFCorner = xFRCCorner . x ;
int xRCorner = xFRCCorner . y ;
int xCCorner = xFRCCorner . z ;
// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
float dotProd = 0.0 ;
for ( int wF = 0 ; wF < $ { p } ; wF ++ ) {
int xF = xFCorner + wF * $ { o } ;
if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
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}
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for ( int wR = 0 ; wR < $ { d } ; wR ++ ) {
int xR = xRCorner + wR * $ { l } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
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}
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for ( int wC = 0 ; wC < $ { c } ; wC ++ ) {
int xC = xCCorner + wC * $ { u } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
for ( int d1 = 0 ; d1 < $ { h } ; d1 += 4 ) {
vec4 xValues = vec4 (
getX ( batch , xF , xR , xC , d1 ) ,
getX ( batch , xF , xR , xC , d1 + 1 ) ,
getX ( batch , xF , xR , xC , d1 + 2 ) ,
getX ( batch , xF , xR , xC , d1 + 3 )
) ;
vec4 wValues = vec4 (
getW ( wF , wR , wC , d1 , d2 ) ,
getW ( wF , wR , wC , d1 + 1 , d2 ) ,
getW ( wF , wR , wC , d1 + 2 , d2 ) ,
getW ( wF , wR , wC , d1 + 3 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
}
if ( $ { m === 1 } ) {
dotProd +=
getX ( batch , xF , xR , xC , $ { h } ) *
getW ( wF , wR , wC , $ { h } , d2 ) ;
} else if ( $ { m === 2 } ) {
vec2 xValues = vec2 (
getX ( batch , xF , xR , xC , $ { h } ) ,
getX ( batch , xF , xR , xC , $ { h } + 1 )
) ;
vec2 wValues = vec2 (
getW ( wF , wR , wC , $ { h } , d2 ) ,
getW ( wF , wR , wC , $ { h } + 1 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else if ( $ { m === 3 } ) {
vec3 xValues = vec3 (
getX ( batch , xF , xR , xC , $ { h } ) ,
getX ( batch , xF , xR , xC , $ { h } + 1 ) ,
getX ( batch , xF , xR , xC , $ { h } + 2 )
) ;
vec3 wValues = vec3 (
getW ( wF , wR , wC , $ { h } , d2 ) ,
getW ( wF , wR , wC , $ { h } + 1 , d2 ) ,
getW ( wF , wR , wC , $ { h } + 2 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
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}
}
}
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}
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setOutput ( dotProd ) ;
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}
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` }},HA=class{constructor(e,t=!1,n=null,a=!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=vn(this.outputShape.length);let s=e.padInfo.left,i=e.strideWidth,o=e.dilationWidth,l=e.filterHeight,u=e.filterWidth,p=u,d= `
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int xR ; int xC ; int xCOffset ;
vec4 wTexel ; vec4 previous ; vec4 final ; ` ;for(let f=0;f<u;f++)d+= `
vec4 xTexelC$ { f * 2 } ;
int xTexelC$ { f * 2 } Ready ;
vec4 xTexelC$ { f * 2 + 1 } ;
int xTexelC$ { f * 2 + 1 } Ready ;
vec4 xC$ { f } ; ` ;d+= `
for ( int r = 0 ; r < $ { l } ; r ++ ) {
for ( int d1 = 0 ; d1 < $ { e . inChannels } ; d1 += 2 ) {
` ;for(let f=0;f<u;f++)d+= `
xTexelC$ { f * 2 } = vec4 ( 0.0 ) ;
xTexelC$ { f * 2 } Ready = 0 ;
xTexelC$ { f * 2 + 1 } = vec4 ( 0.0 ) ;
xTexelC$ { f * 2 + 1 } Ready = 0 ;
xC$ { f } = vec4 ( 0.0 ) ; ` ;d+= `
xR = xRCorner + r * dilations [ 0 ] ;
if ( xR >= 0 && xR < inDims [ 0 ] ) {
` ;for(let f=0;f<(p+1)/2;f++){let g=f*2;if(d+= `
xC = xCCorner + $ { g * o } ;
` ,i===1){if(g<u&&(s%2===1?(d+= `
xCOffset = xC + 1 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { g } Ready == 0 ) {
xTexelC$ { g } = 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$ { g } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { g } Ready = 1 ;
}
` ,o===1&&g>0?d+= `
xC$ { g } = vec4 ( xTexelC$ { g - 2 } . zw , xTexelC$ { g } . xy ) ;
` :d+= `
xCOffset = xC + 1 - 2 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
previous = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
previous . zw = vec2 ( 0.0 ) ;
}
xC$ { g } = vec4 ( previous . zw , xTexelC$ { g } . xy ) ;
} else {
xC$ { g } = vec4 ( 0.0 , 0.0 , xTexelC$ { g } . xy ) ;
}
` ):d+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { g } Ready == 0 ) {
xTexelC$ { g } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { g } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { g } Ready = 1 ;
}
xC$ { g } = xTexelC$ { g } ;
` ,g+1<u)){let b=s%2===0?w.nearestLargerEven(o):o;o%2===0&&s%2===1||o%2!==0&&s%2!==1?(d+= `
xCOffset = xC + imod ( pads [ 1 ] , 2 ) + $ { b } ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { g + 1 } Ready == 0 ) {
xTexelC$ { g + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { g + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { g + 1 } Ready = 1 ;
}
` ,o>1?d+= `
xCOffset -= 2 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
previous = getX ( batch , xR , xCOffset , d1 ) ;
xC$ { g + 1 } = vec4 ( previous . zw , xTexelC$ { g + 1 } . xy ) ;
} else {
xC$ { g + 1 } = vec4 ( 0.0 , 0.0 , xTexelC$ { g + 1 } . xy ) ;
}
` :d+= `
xC$ { g + 1 } = vec4 ( xTexelC$ { g } . zw , xTexelC$ { g + 1 } . xy ) ;
` ):b===1?d+= `
xC$ { g + 1 } = xTexelC$ { g } ;
` :d+= `
xCOffset = xC + $ { b } ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { g + 1 } Ready == 0 ) {
xTexelC$ { g + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { g + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { g + 1 } Ready = 1 ;
}
xC$ { g + 1 } = xTexelC$ { g + 1 } ;
` }}else g<u&&(s%2===1?(d+= `
xCOffset = xC + 1 - strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { g } Ready == 0 ) {
xTexelC$ { g } = 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$ { g } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { g } Ready = 1 ;
}
if ( xC + 1 >= 0 && xC + 1 < inDims [ 1 ] && xTexelC$ { g + 1 } Ready == 0 ) {
xTexelC$ { g + 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$ { g + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { g + 1 } Ready = 1 ;
}
xC$ { g } = vec4 ( xTexelC$ { g } . zw , xTexelC$ { g + 1 } . zw ) ;
` ,g+1<u&&(d+= `
final = vec4 ( 0.0 ) ;
xCOffset = xC + 1 + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
final = getX ( batch , xR , xCOffset , d1 ) ;
}
xC$ { g + 1 } = vec4 ( xTexelC$ { g + 1 } . xy , final . xy ) ;
` )):(d+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { g } Ready == 0 ) {
xTexelC$ { g } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { g } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { g } Ready = 1 ;
}
xCOffset = xC + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { g + 1 } Ready == 0 ) {
xTexelC$ { g + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { g + 1 } . zw = vec2 ( 0. ) ;
}
xTexelC$ { g + 1 } Ready = 1 ;
}
xC$ { g } = vec4 (
xTexelC$ { g } . xy , xTexelC$ { g + 1 } . xy ) ;
` ,g+1<u&&(d+= `
xC$ { g + 1 } = vec4 ( xTexelC$ { g } . zw , xTexelC$ { g + 1 } . zw ) ;
` )));g<u&&(d+= `
wTexel = getW ( r , $ { g } , d1 , d2 ) ;
dotProd += xC$ { g } . xxzz * vec4 ( wTexel . xy , wTexel . xy ) ;
if ( d1 + 1 < $ { e . inChannels } ) {
dotProd += xC$ { g } . yyww * vec4 ( wTexel . zw , wTexel . zw ) ;
}
` ,g+1<u&&(d+= `
wTexel = getW ( r , $ { g + 1 } , d1 , d2 ) ;
dotProd += xC$ { g + 1 } . xxzz * vec4 ( wTexel . xy , wTexel . xy ) ;
if ( d1 + 1 < $ { e . inChannels } ) {
dotProd += xC$ { g + 1 } . yyww * vec4 ( wTexel . zw , wTexel . zw ) ;
}
` ))}d+= `
}
` ,d+= `
}
` ,d+= `
}
` ;let c="",h="";n&&(a?c= ` vec4 activation ( vec4 a ) {
vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :r?c= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :c= ` vec4 activation ( vec4 x ) {
$ { n }
} ` ,h="result = activation(result);");let m=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { c }
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
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 ) ;
$ { d }
vec4 result = dotProd - vec4 ( 0.000000000000001 ) ;
$ { m }
$ { h }
setOutput ( result ) ;
}
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` }},yne=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{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=vn(this.outputShape.length);let{dataFormat:n}=t,a=En(),r=n==="channelsLast",s=r?1:2,i=r?2:3,o=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {": ` if ( blockIndex < $ { e [ 2 ] } && pos < $ { e [ 1 ] } ) { ` ,l="";for(let u=0;u<=1;u++)for(let p=0;p<=1;p++)l+= `
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blockIndex = rc . z + $ { p } ;
pos = rc . y + $ { u } ;
$ { o }
offsetY = int ( blockIndex / outWidth ) * stride [ 0 ] - pad [ 0 ] ;
d0 = offsetY + dilation [ 0 ] * ( pos / itemsPerBlockRow ) ;
if ( d0 < inputShape [ $ { s } ] && d0 >= 0 ) {
// Use custom imod instead mod. On Intel GPU, mod may generate
// unexpected value.
// https://github.com/tensorflow/tfjs/issues/5447
offsetX = imod ( blockIndex , outWidth ) * stride [ 1 ] - pad [ 1 ] ;
d1 = offsetX + dilation [ 1 ] * ( imod ( pos , itemsPerBlockRow ) /
inChannels ) ;
if ( d1 < inputShape [ $ { i } ] && d1 >= 0 ) {
ch = imod ( pos , inChannels ) ;
if ( $ { r } ) {
innerDims = vec2 ( d1 , ch ) ;
result [ $ { u * 2 + p } ] = getChannel (
getA ( rc . x , d0 , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
} else {
innerDims = vec2 ( d0 , d1 ) ;
result [ $ { u * 2 + p } ] = getChannel (
getA ( rc . x , ch , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
}
}
}
}
` ;this.userCode= `
void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0 ) ;
int blockIndex , pos , offsetY , d0 , offsetX , d1 , ch ;
vec2 innerDims ;
$ { l }
$ { a . output } = result ;
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}
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` }};function mm(e,t){let n=e.length;return n>=3?t?[...e.slice(0,-3),e[n-3]*e[n-2],e[n-1]]:[...e.slice(0,-3),e[n-3],e[n-2]*e[n-1]]:!t&&n===1&&e[0]>1?[e[0],1]:null}function jA({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,u=a.texData.get(e.dataId),p=n.inChannels,d=l[0]*l[1]*l[2],c=n.outChannels,h=n.dataFormat==="channelsLast",m=!1,f=!1,g,b=[];if(s!=null){let y=mm(s.shape,h);y!=null&&(s=ce({inputs:{x:s},backend:a,attrs:{shape:y}}),b.push(s))}if(r!=null){let y=mm(r.shape,h);y!=null&&(r=ce({inputs:{x:r},backend:a,attrs:{shape:y}}),b.push(r))}if(!((d===1||c===1)&&p>LA)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!==0&&w.arraysEqual(u.shape.slice(-3),l.slice(-3))){let y=l[0]*l[1]*(l[2]+1),x={dataId:e.dataId,shape:[1,y,n.inChannels],dtype:e.dtype},v=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,w.assert(Tc(u.shape,x.shape),()=> ` packed reshape $ { u . shape } to $ { x . shape } isn ' t free ` );let I=ce({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});b.push(I);let N=hm({a:x,b:I,backend:a,transposeA:m,transposeB:f,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),C=a.texData.get(N.dataId);w.assert(C.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=v,C.shape=n.outShape,g=ta({inputs:{x:N},backend:a}),g.shape=n.outShape,b.push(N)}else{let y=n.outHeight*n.outWidth,x=ce({inputs:{x:e},backend:a,attrs:{shape:h?[n.batchSize,y,n.inChannels]:[n.batchSize,n.inChannels,y]}}),v=ce({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),I=hm({a:h?x:v,b:h?v:x,transposeA:!h,transposeB:f,backend:a,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=ce({inputs:{x:I},backend:a,attrs:{shape:n.outShape}}),b.push(x),b.push(v),b.push(I)}for(let y of b)a.disposeIntermediateTensorInfo(y);return g}function qA({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,outWidth:d,outHeight:c,dataFormat:h}=n,m=h==="channelsLast",f=l*u*p,g=c*d,b=[n.batchSize,f,g],y=!0,x=!1,v=[];if(s!=null){let K=mm(s.shape,m);K!=null&&(s=ce({inputs:{x:s},backend:a,attrs:{shape:K}}),v.push(s))}if(r!=null){let K=mm(r.shape,m);K!=null&&(r=ce({inputs:{x:r},backend:a,attrs:{shape:K}}),v.push(r))}let I=ce({inputs:{x:t},backend:a,attrs:{shape:[1,f,w.sizeFromShape(t.shape)/f]}});v.push(I);let N=new yne(b,n),C=[e.shape,[n.padInfo.top,n.padInfo.left],[n.strideHeight,n.strideWidth],[n.dilationHeight,n.dilationWidth],[n.inChannels],[n.filterWidth*n.inChannels],[n.outWidth]],_=a.runWebGLProgram(N,[e],"float32",C),F=ce({inputs:{x:_},backend:a,attrs:{shape:b}});v.push(_),v.push(F);let D=r!=null, $ =s!=null,S=o==="leakyrelu",M=o?Cc(o,!0):null,B=new PA(m?F.shape:I.shape,m?I.shape:F.shape,m?[n.batchSize,g,n.outChannels]:[n.batchSize,n.outChannels,g],y,x,D,M, $ ,S),U=m?[F,I]:[I,F];if(r&&U.push(r), $ &&U.push(s),S){let K=a.makeTensorInfo([],"float32",w.createScalarValue(i,"float32"));U.push(K),v.push(K)}let H=a.runWebGLProgram(B,U,"float32"),q=ce({inputs:{x:H},backend:a,attrs:{shape:n.outShape}});v.push(H);for(let K of v)a.disposeIntermediateTensorInfo(K);return q}function xne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a,d=T.convertConv2DDataFormat(l),c=T.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h;if(c.filterHeight===1&&c.filterWidth===1&&c.dilationHeight===1&&c.dilationWidth===1&&c.strideHeight===1&&c.strideWidth===1&&(c.padInfo.type==="SAME"||c.padInfo.type==="VALID"))h=jA({x:r,filter:s,convInfo:c,backend:n});else if(c.strideWidth<=2&&d==="channelsLast"&&G().getBool("WEBGL_EXP_CONV")){let f=new HA(c),g=[[c.padInfo.top,c.padInfo.left],[c.strideHeight,c.strideWidth],[c.dilationHeight,c.dilationWidth],[c.inHeight,c.inWidth]];h=n.runWebGLProgram(f,[r,s],"float32",g)}else if(G().getBool("WEBGL_CONV_IM2COL"))h=qA({x:r,filter:s,convInfo:c,backend:n});else{let f=new GA(c);h=n.runWebGLProgram(f,[r,s],"float32")}let m=ce({inputs:{x:h},backend:n,attrs:{shape:c.outSha
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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 ++ ) {
int xR = wR + yR * $ { t } - $ { a } ;
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 ;
}
$ { s ? ` float dyValue = getDy(b, yR, yC, d2);
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ; ` : ` float dyValue = getDy ( b , d2 , yR , yC ) ;
float xValue = getX ( b , d1 , xR , xC ) ;
dotProd += ( xValue * dyValue ) ; ` }
}
}
}
setOutput ( dotProd ) ;
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}
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` }},kne=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,u=s?2:3,p=s?3:1;this.userCode= `
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const ivec2 pads = ivec2 ( $ { i } , $ { o } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d1 = coords [ $ { p } ] ;
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 ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { r } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
int wCPerm = $ { n } - 1 - wC ;
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
if ( $ { s } ) {
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
} else {
float xValue = getDy ( batch , d2 , idyR , idyC ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
}
}
}
setOutput ( dotProd ) ;
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}
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` }},Ine=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.padInfo.front,s=e.padInfo.top,i=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 ;
}
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { n } - $ { s } ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { a } - $ { i } ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float dyValue = getDy ( b , yF , yR , yC , d2 ) ;
float xValue = getX ( b , xF , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
}
setOutput ( dotProd ) ;
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}
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` }},Sne=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=a-1-e.padInfo.left;this.userCode= `
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const ivec3 pads = ivec3 ( $ { o } , $ { l } , $ { u } ) ;
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyFCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
float dotProd = 0.0 ;
for ( int wF = 0 ; wF < $ { 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 ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { n } - 1 - wR ;
for ( int wC = 0 ; wC < $ { a } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
int wCPerm = $ { a } - 1 - wC ;
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
float xValue = getDy ( batch , idyF , idyR , idyC , d2 ) ;
float wValue = getW ( wFPerm , wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
}
}
}
setOutput ( dotProd ) ;
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}
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` }};function Nne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=a,d=T.convertConv2DDataFormat(l),c=T.computeConv2DInfo(r.shape,p,i,1,o,u,!1,d),h=new wne(c);return n.runWebGLProgram(h,[r,s],"float32")}var Tne={kernelName:km,backendName:"webgl",kernelFunc:Nne},Cne=class{constructor(e){this.variableNames=["dy","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"strides",type:"vec2"}],this.outputShape=e.inShape,this.enableShapeUniforms=vn(this.outputShape.length);let t=e.filterHeight,n=e.filterWidth,a=t-1-e.padInfo.top,r=n-1-e.padInfo.left;this.userCode= `
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const ivec2 pads = ivec2 ( $ { a } , $ { r } ) ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d1 = coords [ 3 ] ;
ivec2 dyCorner = ivec2 ( coords [ 1 ] , coords [ 2 ] ) - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
vec4 result = vec4 ( 0. ) ;
for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / strides [ 0 ] ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
int wCPerm = $ { n } - 1 - wC ;
float dyC = float ( dyCCorner + wC ) / strides [ 1 ] ;
bool idyCVal = ( dyC >= 0.0 ) && ( dyC < $ { e . outWidth } . 0 )
&& ( fract ( dyC ) == 0.0 ) ;
int idyC = int ( dyC ) ;
float dyC2 = float ( dyCCorner + wC + 1 ) / strides [ 1 ] ;
bool idyCVal2 = ( dyC2 >= 0.0 ) && ( dyC2 < $ { e . outWidth } . 0 )
&& ( fract ( dyC2 ) == 0.0 ) ;
int idyC2 = int ( dyC2 ) ;
if ( idyCVal && idyCVal2 ) {
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 += 2 ) {
vec4 wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
vec4 dySample = getDy ( batch , idyR , idyC , d2 ) ;
vec4 dySample2 = ( idyC / 2 == idyC2 / 2 ) ?
dySample : getDy ( batch , idyR , idyC2 , d2 ) ;
vec2 dyValue = mod ( float ( idyC ) , 2. ) == 0. ?
dySample . xy : dySample . zw ;
result . xy += vec2 ( dot ( dyValue , wValue . xy ) ,
dot ( dyValue , wValue . zw ) ) ;
dyValue = mod ( float ( idyC2 ) , 2. ) == 0. ?
dySample2 . xy : dySample2 . zw ;
result . zw += vec2 ( dot ( dyValue , wValue . xy ) ,
dot ( dyValue , wValue . zw ) ) ;
}
} else if ( idyCVal ) {
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 += 2 ) {
vec4 wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
vec4 dySample = getDy ( batch , idyR , idyC , d2 ) ;
vec2 dyValue = mod ( float ( idyC ) , 2. ) == 0. ?
dySample . xy : dySample . zw ;
result . xy += vec2 ( dot ( dyValue , wValue . xy ) ,
dot ( dyValue , wValue . zw ) ) ;
}
} else if ( idyCVal2 ) {
for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 += 2 ) {
vec4 wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
vec4 dySample = getDy ( batch , idyR , idyC2 , d2 ) ;
vec2 dyValue = mod ( float ( idyC2 ) , 2. ) == 0. ?
dySample . xy : dySample . zw ;
result . zw += vec2 ( dot ( dyValue , wValue . xy ) ,
dot ( dyValue , wValue . zw ) ) ;
}
}
}
}
setOutput ( result ) ;
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}
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` }};function Ene(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=a,d=T.convertConv2DDataFormat(u),c=T.computeConv2DInfo(i,s.shape,o,1,l,p,!1,d);if(G().getBool("WEBGL_PACK_CONV2DTRANSPOSE")&&d==="channelsLast"){let h=[[c.strideHeight,c.strideWidth]],m=new Cne(c);return n.runWebGLProgram(m,[r,s],"float32",h)}else{let h=new kne(c);return n.runWebGLProgram(h,[r,s],"float32")}}var _ne={kernelName:Li,backendName:"webgl",kernelFunc:Ene};function Ane(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=T.computeConv3DInfo(r.shape,s.shape,i,l,o),p=new bne(u);return n.runWebGLProgram(p,[r,s],"float32")}var Fne={kernelName:zi,backendName:"webgl",kernelFunc:Ane};function $ ne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=a,u=T.computeConv3DInfo(r.shape,l,i,1,o),p=new Ine(u);return n.runWebGLProgram(p,[r,s],"float32")}var Dne={kernelName:iu,backendName:"webgl",kernelFunc: $ ne};function Rne(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=a,u=T.computeConv3DInfo(l,s.shape,o,1,i),p=new Sne(u);return n.runWebGLProgram(p,[r,s],"float32")}var Mne={kernelName:ou,backendName:"webgl",kernelFunc:Rne},One=mp+ `
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return cos ( x ) ;
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` ,Pne= `
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vec4 result = cos ( x ) ;
bvec4 isNaN = isnan ( x ) ;
$ { Qo }
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return result ;
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` ,Lne=Ze({opSnippet:One,packedOpSnippet:Pne}),zne={kernelName:Wi,backendName:"webgl",kernelFunc:Lne},Wne= `
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float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
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` ,Bne=Ze({opSnippet:Wne}),Vne={kernelName:Bi,backendName:"webgl",kernelFunc:Bne},Une=class{constructor(e,t,n,a,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[u]=t,[p,d]=n;this.outputShape=[u,p,d,l];let c=a==="bilinear"?1:0,[h,m]=[ ` $ { i - 1 } . 0 ` , ` $ { o - 1 } . 0 ` ],[f,g,b]=p>1?[ ` $ { ( i - 1 ) / ( p - 1 ) } ` ,"(y2-y1) * height_ratio", ` y1 * $ { h } + float ( y ) * ( height _scale ) ` ]:["0.0","0.0", ` 0.5 * ( y1 + y2 ) * $ { h } ` ],[y,x,v]=d>1?[ ` $ { ( o - 1 ) / ( d - 1 ) } ` ,"(x2-x1) * width_ratio", ` x1 * $ { m } + float ( x ) * ( width _scale ) ` ]:["0.0","0.0", ` 0.5 * ( x1 + x2 ) * $ { m } ` ];this.userCode= `
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const float height _ratio = float ( $ { f } ) ;
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 ] ;
// get box vals
float y1 = getBoxes ( b , 0 ) ;
float x1 = getBoxes ( b , 1 ) ;
float y2 = getBoxes ( b , 2 ) ;
float x2 = getBoxes ( b , 3 ) ;
// get image in batch index
int bInd = round ( getBoxInd ( b ) ) ;
if ( bInd < 0 || bInd >= $ { s } ) {
return ;
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}
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float height _scale = $ { g } ;
float width _scale = $ { x } ;
float in _y = $ { b } ;
if ( in _y < 0.0 || in _y > $ { h } ) {
setOutput ( float ( $ { r } ) ) ;
return ;
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}
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float in _x = $ { v } ;
if ( in _x < 0.0 || in _x > $ { m } ) {
setOutput ( float ( $ { r } ) ) ;
return ;
}
vec2 sourceFracIndexCR = vec2 ( in _x , in _y ) ;
if ( $ { c } == 1 ) {
// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2 ( sourceFracIndexCR ) ;
ivec2 sourceCeilCR = ivec2 ( ceil ( sourceFracIndexCR ) ) ;
float topLeft = getImage ( b , sourceFloorCR . y , sourceFloorCR . x , d ) ;
float bottomLeft = getImage ( b , sourceCeilCR . y , sourceFloorCR . x , d ) ;
float topRight = getImage ( b , sourceFloorCR . y , sourceCeilCR . x , d ) ;
float bottomRight = getImage ( b , sourceCeilCR . y , sourceCeilCR . x , d ) ;
vec2 fracCR = sourceFracIndexCR - vec2 ( sourceFloorCR ) ;
float top = topLeft + ( topRight - topLeft ) * fracCR . x ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracCR . x ;
float newValue = top + ( bottom - top ) * fracCR . y ;
setOutput ( newValue ) ;
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2 ( floor (
sourceFracIndexCR + vec2 ( 0.5 , 0.5 ) ) ) ;
float newValue = getImage ( b , sourceNearestCR . y , sourceNearestCR . x , d ) ;
setOutput ( newValue ) ;
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}
}
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` }},Gne=e=>{let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,p=new Une(r.shape,s.shape,o,l,u);return n.runWebGLProgram(p,[r,s,i],"float32")},Hne={kernelName:uu,backendName:"webgl",kernelFunc:Gne},_c;(function(e){e.Prod="*",e.Sum="+"})(_c||(_c={}));var gS=class{constructor(e,t,n,a){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let r=this.outputShape.length,s=this.op===_c.Prod?"1.0":"0.0",i=n?s: ` getX ( $ { bS ( r , "coords" , this . op ) } ) ` ,o=this.outputShape[this.outputShape.length-1],l="",u="";n?(l=a? ` end != $ { o - 1 } ` :"end != 0",u=a?"end + 1":"end - 1"):(l=a? ` end + pow2 < $ { o } ` :"end >= pow2",u=a?"end + pow2":"end - pow2"),this.userCode= `
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void main ( ) {
$ { ht ( r ) } coords = getOutputCoords ( ) ;
int end = $ { yS ( r , "coords" , this . op ) } ;
float val = $ { i } ;
int pow2 = int ( pow ( 2.0 , index ) ) ;
if ( $ { l } ) {
int idx = $ { u } ;
$ { yS ( r , "coords" , this . op ) } = idx ;
val $ { this . op } = getX ( $ { bS ( r , "coords" , this . op ) } ) ;
}
setOutput ( val ) ;
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}
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` }};function bS(e,t,n){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 new Error( ` Cumulative $ { n } for rank $ { e } is not yet supported ` )}function yS(e,t,n){if(e===1)return ` $ { t } ` ;if(e===2)return ` $ { t } . y ` ;if(e===3)return ` $ { t } . z ` ;if(e===4)return ` $ { t } . w ` ;throw new Error( ` Cumulative $ { n } for rank $ { e } is not yet supported ` )}function KA(e,t,n,a,r,s){let i=t.shape.length,o=T.getAxesPermutation([a],i),l=t;o!=null&&(l=Sn({inputs:{x:t},backend:n,attrs:{perm:o}}));let u=T.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error( ` WebGL cumprod shader expects an inner - most axis = $ { t . shape . length - 1 } but got axis = $ { a } ` );let p=l.shape[u],d=ta({inputs:{x:l},backend:n});for(let c=0;c<=Math.ceil(Math.log2(p))-1;c++){let h=new gS(e,l.shape,!1,s),m=[[c]],f=d;d=n.runWebGLProgram(h,[d],d.dtype,m),n.disposeIntermediateTensorInfo(f)}if(r){let c=new gS(e,l.shape,r,s),h=d;d=n.runWebGLProgram(c,[d],d.dtype),n.disposeIntermediateTensorInfo(h)}if(o!=null){let c=T.getUndoAxesPermutation(o),h=Sn({inputs:{x:d},backend:n,attrs:{perm:c}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(l),h}return d}function jne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return KA(_c.Prod,r,n,s,i,o)}var qne={kernelName:lu,backendName:"webgl",kernelFunc:jne};function Kne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return KA(_c.Sum,r,n,s,i,o)}var Xne={kernelName:Vi,backendName:"webgl",kernelFunc:Kne};function Yne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=a;if(r.shape.length===1){let l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=TA(l,u,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,p)}else if(r.shape.length===2){let l=n.bufferSync(r),u=n.bufferSync(s),p=J9(l,u,i,o);return n.makeTensorInfo(p.shape,s.dtype,p.values)}throw new Error( ` Error in denseBincount : input must be at most rank 2 , but got rank$ { r . shape . length } . ` )}var Zne={kernelName:Pc,backendName:"webgl",kernelFunc:Yne},Jne=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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}
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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 Qne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=new Jne(m,s,i);return n.runWebGLProgram(f,[r],r.dtype)}var eae={kernelName:pu,backendName:"webgl",kernelFunc:Qne},XA=class{constructor(e,t=!1,n=null,a=!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=vn(this.outputShape.length);let s=e.filterHeight,i=e.filterWidth,o=e.outChannels/e.inChannels,l="",u="";n&&(a?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 }
}
` ,u="result = activation(result);");let p=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { l }
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 / $ { o } ;
int q = d2 - d1 * $ { o } ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
for ( int wR = 0 ; wR < $ { s } ; wR ++ ) {
int xR = xRCorner + wR * dilations [ 0 ] ;
if ( xR < 0 || xR >= inDims [ 0 ] ) {
continue ;
}
for ( int wC = 0 ; wC < $ { i } ; wC ++ ) {
int xC = xCCorner + wC * dilations [ 1 ] ;
if ( xC < 0 || xC >= inDims [ 1 ] ) {
continue ;
}
float xVal = getX ( batch , xR , xC , d1 ) ;
float wVal = getW ( wR , wC , d1 , q ) ;
dotProd += xVal * wVal ;
}
}
float result = dotProd ;
$ { p }
$ { u }
setOutput ( result ) ;
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}
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` }},YA=class{constructor(e,t=!1,n=null,a=!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=vn(this.outputShape.length);let s=e.outChannels/e.inChannels,i=e.padInfo.left,o=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,p=e.filterWidth,d=p,c= `
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int xR ; int xC ; int xCOffset ;
vec4 wTexel ; vec4 previous ; vec4 final ; ` ;for(let g=0;g<p;g++)c+= `
vec4 xTexelC$ { g * 2 } ;
int xTexelC$ { g * 2 } Ready ;
vec4 xTexelC$ { g * 2 + 1 } ;
int xTexelC$ { g * 2 + 1 } Ready ;
vec4 xC$ { g } ; ` ;c+= `
for ( int r = 0 ; r < $ { u } ; r ++ ) {
` ;for(let g=0;g<p;g++)c+= `
xTexelC$ { g * 2 } = vec4 ( 0.0 ) ;
xTexelC$ { g * 2 } Ready = 0 ;
xTexelC$ { g * 2 + 1 } = vec4 ( 0.0 ) ;
xTexelC$ { g * 2 + 1 } Ready = 0 ;
xC$ { g } = vec4 ( 0.0 ) ; ` ;c+= `
xR = xRCorner + r * dilations [ 0 ] ;
if ( xR >= 0 && xR < inDims [ 0 ] ) {
` ;for(let g=0;g<(d+1)/2;g++){let b=g*2;if(c+= `
xC = xCCorner + $ { b * l } ;
` ,o===1){if(b<p&&(i%2===1?(c+= `
xCOffset = xC + 1 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
` ,l===1&&b>0?c+= `
xC$ { b } = vec4 ( xTexelC$ { b - 2 } . zw , xTexelC$ { b } . xy ) ;
` :c+= `
xCOffset = xC + 1 - 2 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
previous = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
previous . zw = vec2 ( 0.0 ) ;
}
xC$ { b } = vec4 ( previous . zw , xTexelC$ { b } . xy ) ;
} else {
xC$ { b } = vec4 ( 0.0 , 0.0 , xTexelC$ { b } . xy ) ;
}
` ):c+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
xC$ { b } = xTexelC$ { b } ;
` ,b+1<p)){let y=i%2===0?w.nearestLargerEven(l):l;l%2===0&&i%2===1||l%2!==0&&i%2!==1?(c+= `
xCOffset = xC + imod ( pads [ 1 ] , 2 ) + $ { y } ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
` ,l>1?c+= `
xCOffset -= 2 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
previous = getX ( batch , xR , xCOffset , d1 ) ;
xC$ { b + 1 } = vec4 ( previous . zw , xTexelC$ { b + 1 } . xy ) ;
} else {
xC$ { b + 1 } = vec4 ( 0.0 , 0.0 , xTexelC$ { b + 1 } . xy ) ;
}
` :c+= `
xC$ { b + 1 } = vec4 ( xTexelC$ { b } . zw , xTexelC$ { b + 1 } . xy ) ;
` ):y===1?c+= `
xC$ { b + 1 } = xTexelC$ { b } ;
` :c+= `
xCOffset = xC + $ { y } ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
xC$ { b + 1 } = xTexelC$ { b + 1 } ;
` }}else b<p&&(i%2===1?(c+= `
xCOffset = xC + 1 - strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
if ( xC + 1 >= 0 && xC + 1 < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xC + 1 , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xC + 2 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
xC$ { b } = vec4 ( xTexelC$ { b } . zw , xTexelC$ { b + 1 } . zw ) ;
` ,b+1<p&&(c+= `
final = vec4 ( 0.0 ) ;
xCOffset = xC + 1 + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
final = getX ( batch , xR , xCOffset , d1 ) ;
}
xC$ { b + 1 } = vec4 ( xTexelC$ { b + 1 } . xy , final . xy ) ;
` )):(c+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
xCOffset = xC + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0. ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
xC$ { b } = vec4 (
xTexelC$ { b } . xy , xTexelC$ { b + 1 } . xy ) ;
` ,b+1<p&&(c+= `
xC$ { b + 1 } = vec4 ( xTexelC$ { b } . zw , xTexelC$ { b + 1 } . zw ) ;
` )));b<p&&(c+= `
wTexel = getW ( r , $ { b } , d1 , q ) ;
dotProd += xC$ { b } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ,b+1<p&&(c+= `
wTexel = getW ( r , $ { b + 1 } , d1 , q ) ;
dotProd += xC$ { b + 1 } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ))}c+= `
}
` ,c+= `
}
` ;let h="",m="";n&&(a?h= ` vec4 activation ( vec4 a ) {
vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :r?h= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :h= ` vec4 activation ( vec4 x ) {
$ { n }
} ` ,m="result = activation(result);");let f=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { h }
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 / $ { s } ;
int q = d2 - d1 * $ { s } ;
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 ) ;
$ { c }
vec4 result = dotProd - vec4 ( 0.000000000000001 ) ;
$ { f }
$ { m }
setOutput ( result ) ;
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}
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` }};function tae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l,dimRoundingMode:u}=a,p=l;p==null&&(p=[1,1]),w.assert(T.eitherStridesOrDilationsAreOne(i,p),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { i } and dilations '${p}' ` );let d=T.computeConv2DInfo(r.shape,s.shape,i,p,o,u,!0),c;G().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels===1?c=new YA(d):c=new XA(d);let h=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];return n.runWebGLProgram(c,[r,s],"float32",h)}var nae={kernelName:Ui,backendName:"webgl",kernelFunc:tae},aae=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int dm = coords . w ;
int d2 = d1 * $ { s } + dm ;
float dotProd = 0.0 ;
// TO DO: Vec4 over the batch size
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { t } - $ { a } ;
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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` }},rae=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode= `
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const ivec2 pads = ivec2 ( $ { s } , $ { i } ) ;
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 ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { a } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
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}
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int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { r } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
int wCPerm = $ { n } - 1 - wC ;
// TO DO: Vec4 over the channelMul
for ( int dm = 0 ; dm < $ { o } ; dm ++ ) {
int d2 = d1 * $ { o } + dm ;
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , dm ) ;
dotProd += xValue * wValue ;
}
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}
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}
setOutput ( dotProd ) ;
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}
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` }};function sae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:p}=a,d=T.computeConv2DInfo(r.shape,p,i,o,l,u,!0),c=new aae(d);return n.runWebGLProgram(c,[r,s],"float32")}var iae={kernelName:Im,backendName:"webgl",kernelFunc:sae};function oae(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:p}=a,d=T.computeConv2DInfo(p,s.shape,i,o,l,u,!0),c=new rae(d);return n.runWebGLProgram(c,[r,s],"float32")}var lae={kernelName:Sm,backendName:"webgl",kernelFunc:oae},uae=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 pae(e){let{inputs:t,backend:n}=e,{x:a}=t,r=[...a.shape,...a.shape],s=w.sizeFromShape(a.shape),i=ce({inputs:{x:a},backend:n,attrs:{shape:[s]}}),o=new uae(s),l=n.runWebGLProgram(o,[i],i.dtype),u=ce({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var cae={kernelName:Lc,backendName:"webgl",kernelFunc:pae},dae=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:a,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:p,left:d}=a;this.userCode= `
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const ivec2 strides = ivec2 ( $ { r } , $ { s } ) ;
const ivec2 pads = ivec2 ( $ { p } , $ { d } ) ;
const float neg _infinity = - 3.4 e38 ;
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . w ;
ivec2 outTopLeftCorner =
coords . yz * strides - pads ;
int hBeg = outTopLeftCorner . x ;
int wBeg = outTopLeftCorner . y ;
float curVal = neg _infinity ;
for ( int h = 0 ; h < $ { i } ; h ++ ) {
int hIn = hBeg + h * $ { l } ;
if ( hIn >= 0 && hIn < $ { t } ) {
for ( int w = 0 ; w < $ { o } ; w ++ ) {
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 ;
}
}
}
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}
}
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float result = curVal ;
setOutput ( result ) ;
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}
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` }};function hae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=T.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p,d=new dae(u);p=n.runWebGLProgram(d,[r,s],"float32");let c=ce({inputs:{x:p},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(p),c}var mae={kernelName:Gi,backendName:"webgl",kernelFunc:hae};function fae(e){let{inputs:t,backend:n,attrs:a}=e,{equation:r}=a,s=t,{allDims:i,summedDims:o,idDims:l}=T.decodeEinsumEquation(r,s.length);T.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=T.getEinsumComputePath(o,l),d=p.length,c=null,h=i.length,m=[];for(let f=0;f<d;++f){for(let g of p[f]){let{permutationIndices:b,expandDims:y}=T.getEinsumPermutation(h,l[g]),x;T.isIdentityPermutation(b)?x=s[g]:(x=Sn({inputs:{x:s[g]},backend:n,attrs:{perm:b}}),m.push(x));let v=x.shape.slice();for(let I=0;I<y.length;++I)v.splice(y[I],0,1);w.arraysEqual(x.shape,v)||(x=ce({inputs:{x},backend:n,attrs:{shape:v}}),m.push(x)),c===null?c=x:(c=pk({inputs:{a:x,b:c},backend:n}),m.push(c))}f<d-1&&(u[f]>=0&&(c=Vf({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var gae={kernelName:Tm,backendName:"webgl",kernelFunc:fae},bae="return (x >= 0.0) ? x : (exp(x) - 1.0);",yae= `
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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 ) ;
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return result ;
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` ,xae=Ze({opSnippet:bae,packedOpSnippet:yae}),vae={kernelName:ji,backendName:"webgl",kernelFunc:xae},wae="return (b >= 0.0) ? a : a * (b + 1.0);",kae= `
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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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` ,Iae=e=>{let{inputs:t,backend:n}=e,{dy:a,y:r}=t,s=G().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new hp(kae,a.shape,r.shape):new ki(wae,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)},Sae={kernelName:cu,backendName:"webgl",kernelFunc:Iae},Nae= `
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return vec4 ( equal ( a , b ) ) ;
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` ,Tae="return float(a == b);",Cae=hn({opSnippet:Tae,packedOpSnippet:Nae,dtype:"bool",cpuKernelImpl:aQ}),Eae={kernelName:du,backendName:"webgl",kernelFunc:Cae},_ae= `
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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.
float p = $ { T . ERF _P } ;
float a1 = $ { T . ERF _A1 } ;
float a2 = $ { T . ERF _A2 } ;
float a3 = $ { T . ERF _A3 } ;
float a4 = $ { T . ERF _A4 } ;
float a5 = $ { T . ERF _A5 } ;
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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` ,Aae=Ze({opSnippet:_ae}),Fae={kernelName:qi,backendName:"webgl",kernelFunc:Aae}, $ ae=mp+ `
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return exp ( x ) ;
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` ,Dae= `
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vec4 result = exp ( x ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
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` ,ZA=Ze({opSnippet: $ ae,packedOpSnippet:Dae,cpuKernelImpl:rQ,dtype:"float32"}),Rae={kernelName:Ki,backendName:"webgl",kernelFunc:ZA};function gv(e){let{inputs:t,attrs:n,backend:a}=e,{dim:r}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(w.assert(-(i+1)<=r,()=> ` Axis must be in the interval [ $ { - ( i + 1 ) } , $ { i } ] ` ),l=i+r+1),o.splice(l,0,1),ce({inputs:{x:s},backend:a,attrs:{shape:o}})}var Mae={kernelName:hu,backendName:"webgl",kernelFunc:gv},xS="return exp(x) - 1.0;",Oae=Ze({opSnippet:xS,packedOpSnippet:xS,cpuKernelImpl:sQ}),Pae={kernelName:Xi,backendName:"webgl",kernelFunc:Oae},vS=class{constructor(e,t,n){this.variableNames=["real","imag"];let a=t[1];this.outputShape=t;let r=n? ` 2.0 * $ { Math . PI } ` : ` - 2.0 * $ { Math . PI } ` ,s=n? ` $ { a } . 0 ` :"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error( ` FFT component must be either "real" or "imag" , got $ { e } . ` );this.userCode= `
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const float exponentMultiplier = $ { r } ;
float unaryOpComplex ( float real , float expR , float imag , float expI ) {
$ { i }
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}
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float mulMatDFT ( int batch , int index ) {
float indexRatio = float ( index ) / float ( $ { a } ) ;
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio ;
float result = 0.0 ;
for ( int i = 0 ; i < $ { a } ; i ++ ) {
// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float ( i ) ;
float expR = cos ( x ) ;
float expI = sin ( x ) ;
float real = getReal ( batch , i ) ;
float imag = getImag ( batch , i ) ;
result +=
unaryOpComplex ( real , expR , imag , expI ) / $ { s } ;
}
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 JA(e,t,n){let a=n.texData.get(e.dataId),r=w.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=ce({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,u=new vS("real",l,t),p=new vS("imag",l,t),d=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:l},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:l}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m= $ s({inputs:{real:c,imag:h},backend:n});n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h);let f=ce({inputs:{x:m},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(m),f}function Lae(e){let{inputs:t,backend:n}=e,{input:a}=t;return JA(a,!1,n)}var zae={kernelName:Cm,backendName:"webgl",kernelFunc:Lae},Wae=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 $ d(e){let{backend:t,attrs:n}=e,{shape:a,value:r}=n,{dtype:s}=n;if(s=s||w.inferDtype(r),s==="string"){let i=w.getArrayFromDType(s,w.sizeFromShape(a));return i.fill(r),t.makeTensorInfo(a,s,i)}else{let i=new Wae(a,r),o=[[r]];return t.runWebGLProgram(i,[],s,o)}}var Bae={kernelName:zc,backendName:"webgl",kernelFunc: $ d},Vae=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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` }},Uae={kernelName:mu,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,a=t,r=new Vae(n.shape);return a.runWebGLProgram(r,[n],n.dtype)}},wS="return floor(x);",Gae=Ze({opSnippet:wS,packedOpSnippet:wS,cpuKernelImpl:iQ}),Hae={kernelName:Yi,backendName:"webgl",kernelFunc:Gae},jae= `
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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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` ,qae= `
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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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` ,Kae=hn({opSnippet:jae,packedOpSnippet:qae,dtype:"int32"}),Xae={kernelName:Zi,backendName:"webgl",kernelFunc:Kae},Yae=class{constructor(e){this.variableNames=["A"];let t=En(),[n,a]=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 ] ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { a } . 0 , $ { n } . 0 ) ;
vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
setOutput ( floor ( value * 255.0 + 0.5 ) ) ;
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}
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` }},Zae=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=En(),[n,a]=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 ] ;
vec4 result = vec4 ( 0. ) ;
for ( int row = 0 ; row <= 1 ; row ++ ) {
for ( int col = 0 ; col <= 1 ; col ++ ) {
texC = coords [ 1 ] + row ;
depth = coords [ 2 ] + col ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { a } . 0 , $ { n } . 0 ) ;
vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
}
}
$ { t . output } = result ;
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}
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` }},Jae={kernelName:Hh,backendName:"webgl",kernelFunc:Qae},Il,xx=G().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function Qae(e){let{inputs:t,backend:n,attrs:a}=e,{pixels:r}=t,{numChannels:s}=a,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,l],d=[u,l,s];if(o||i){let f=G().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Il==null||f!==xx)&&(xx=f,Il=document.createElement("canvas").getContext("2d",{willReadFrequently:xx})),Il.canvas.width=l,Il.canvas.height=u,Il.drawImage(r,0,0,l,u),r=Il.canvas}let c=n.makeTensorInfo(p,"int32");n.texData.get(c.dataId).usage=ca.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(c.dataId),r);let h=G().getBool("WEBGL_PACK")?new Zae(d):new Yae(d),m=n.runWebGLProgram(h,[c],"int32");return n.disposeData(c.dataId),m}function ere(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=T.convertConv2DDataFormat(p),g=T.computeConv2DInfo(r.shape,s.shape,l,d,u,c,!1,f),b,y=[],x=i!=null,v=o!=null,I=h==="leakyrelu",N=()=>{let _=[r,s],F=(D, $ )=>{if( $ ==="NCHW"&&D.shape.length===1&&D.shape[0]!==1){let S=ce({inputs:{x:D},backend:n,attrs:{shape:[D.shape[0],1,1]}});return y.push(S),S}return D};if(x&&_.push(F(i,p)),v&&_.push(F(o,p)),I){let D=n.makeTensorInfo([],"float32",w.createScalarValue(m,"float32"));_.push(D),y.push(D)}return _};if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))b=jA({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else if(g.strideWidth<=2&&f==="channelsLast"&&G().getBool("WEBGL_EXP_CONV")){let _=h?Cc(h,!0):null,F=new HA(g,x,_,v,I),D=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]], $ =N();b=n.runWebGLProgram(F, $ ,"float32",D)}else if(G().getBool("WEBGL_CONV_IM2COL"))b=qA({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else{let _=h?Cc(h,!1):null,F=new GA(g,x,_,v,I),D=N();b=n.runWebGLProgram(F,D,"float32")}let C=ce({inputs:{x:b},backend:n,attrs:{shape:g.outShape}});return y.push(b),y.forEach(_=>n.disposeIntermediateTensorInfo(_)),C}var tre={kernelName:oi,backendName:"webgl",kernelFunc:ere};function nre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:d,activation:c,leakyreluAlpha:h}=a,m=[],f=p;f==null&&(f=[1,1]),w.assert(T.eitherStridesOrDilationsAreOne(l,f),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { l } and dilations '${f}' ` );let g=T.computeConv2DInfo(r.shape,s.shape,l,f,u,d,!0),b=G().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,y=c?Cc(c,b):null,x=[r,s],v=i!=null,I=o!=null,N=c==="leakyrelu";if(v&&x.push(i),I&&x.push(o),N){let D=n.makeTensorInfo([],"float32",w.createScalarValue(h,"float32"));x.push(D),m.push(D)}let C;b?C=new YA(g,v,y,I,N):C=new XA(g,v,y,I,N);let _=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=n.runWebGLProgram(C,x,"float32",_);return m.forEach(D=>n.disposeIntermediateTensorInfo(D)),F}var are={kernelName:li,backendName:"webgl",kernelFunc:nre},rre=class{constructor(e,t,n,a){this.sliceDim=e,this.strides=t,this.paramsShape=a,this.variableNames=["x","indices"],this.outputShape=n;let r=ht(n.length),s= `
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int index ; ` ;for(let i=0;i<this.sliceDim;i++)s+= `
index = round ( getIndices ( coords [ 0 ] , $ { i } ) ) ;
out _of _bounds = out _of _bounds || index < 0 ;
out _of _bounds = out _of _bounds || index >= $ { this . paramsShape [ i ] } ;
flattenIndex += index * $ { this . strides [ i ] } ; ` ;this.userCode= `
void main ( ) {
$ { r } coords = getOutputCoords ( ) ;
int flattenIndex = 0 ;
bool out _of _bounds = false ;
$ { s }
setOutput ( out _of _bounds ? 0.0 : getX ( flattenIndex , coords [ 1 ] ) ) ;
}
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` }};function sre(e){let{inputs:t,backend:n}=e,{params:a,indices:r}=t,s=r.shape,i=s[s.length-1],o=w.sizeFromShape(a.shape),[l,u,p,d]=T.prepareAndValidate(a,r),c=ce({inputs:{x:r},backend:n,attrs:{shape:[u,i]}}),h=ce({inputs:{x:a},backend:n,attrs:{shape:[w.sizeFromShape(a.shape)/p,p]}});if(n.shouldExecuteOnCPU([a,r])||a.dtype==="string"){let b=n.readSync(r.dataId),y=n.bufferSync(a),x=oQ(b,y,a.dtype,u,i,p,d,a.shape,o);return n.makeTensorInfo(l,a.dtype,x.values)}let m=new rre(i,d,[u,p],a.shape),f=n.runWebGLProgram(m,[h,c],h.dtype),g=ce({inputs:{x:f},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),g}var ire={kernelName:gu,backendName:"webgl",kernelFunc:sre},ore=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=ht(this.rank),a=lre(e,2);this.userCode= `
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void main ( ) {
$ { n } resRC = getOutputCoords ( ) ;
int index = int ( getIndices ( resRC . x , resRC . z ) ) ;
float inBounds = ( index >= 0 ) && ( index < $ { e [ 2 ] } ) ? 1.0 : 0.0 ;
setOutput ( inBounds * getA ( $ { a } ) ) ;
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}
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` }};function lre(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let r=0;r<e.length;r++)r===2?a.push("index"):a.push( ` $ { n [ r ] } ` );return a.join()}function QA(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=a,l=w.parseAxisParam(i,r.shape)[0];if(G().get("DEBUG")){let y=n.readSync(s.dataId),x=r.shape[l];for(let v=0;v<y.length;++v){let I=y[v];w.assert(I<=x-1&&I>=0,()=> ` GatherV2 : the index value $ { I } is not in [ 0 , $ { x - 1 } ] ` )}}let u=T.segment_util.collectGatherOpShapeInfo(r,s,l,o),p=w.sizeFromShape(s.shape),d=[],c=ce({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=ce({inputs:{x:s},backend:n,attrs:{shape:[u.batchSize,p/u.batchSize]}});d.push(c),d.push(h);let m=[u.batchSize,u.outerSize,p/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let y=n.bufferSync(h),x=n.bufferSync(c),v=lQ(x,y,m);return d.forEach(I=>n.disposeIntermediateTensorInfo(I)),n.makeTensorInfo(u.outputShape,v.dtype,v.values)}let f=new ore(c.shape,m),g=n.runWebGLProgram(f,[c,h],c.dtype);d.push(g);let b=ce({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(y=>n.disposeIntermediateTensorInfo(y)),b}var ure={kernelName:fu,backendName:"webgl",kernelFunc:QA},pre="return float(a > b);",cre= `
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return vec4 ( greaterThan ( a , b ) ) ;
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` ,dre=hn({opSnippet:pre,packedOpSnippet:cre,cpuKernelImpl:uQ,dtype:"bool"}),hre={kernelName:bu,backendName:"webgl",kernelFunc:dre},mre="return float(a >= b);",fre= `
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return vec4 ( greaterThanEqual ( a , b ) ) ;
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` ,gre=hn({opSnippet:mre,packedOpSnippet:fre,dtype:"bool",cpuKernelImpl:pQ}),bre={kernelName:Qi,backendName:"webgl",kernelFunc:gre};function yre(e){let{inputs:t,backend:n}=e,{input:a}=t;return JA(a,!0,n)}var xre={kernelName:Em,backendName:"webgl",kernelFunc:yre},vre="return float(!isnan(x) && !isinf(x));",wre=Ze({opSnippet:vre,dtype:"bool"}),kre={kernelName:to,backendName:"webgl",kernelFunc:wre},Ire="return float(isinf(x));",Sre=Ze({opSnippet:Ire,dtype:"bool"}),Nre={kernelName:no,backendName:"webgl",kernelFunc:Sre},Tre="return float(isnan(x));",Cre=Ze({opSnippet:Tre,dtype:"bool"}),Ere={kernelName:ao,backendName:"webgl",kernelFunc:Cre},_re="return float(a < b);",Are= `
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return vec4 ( lessThan ( a , b ) ) ;
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` ,Fre=hn({opSnippet:_re,packedOpSnippet:Are,cpuKernelImpl:cQ,dtype:"bool"}), $ re={kernelName:yu,backendName:"webgl",kernelFunc:Fre},Dre="return float(a <= b);",Rre= `
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return vec4 ( lessThanEqual ( a , b ) ) ;
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` ,Mre=hn({opSnippet:Dre,packedOpSnippet:Rre,cpuKernelImpl:dQ,dtype:"bool"}),Ore={kernelName:xu,backendName:"webgl",kernelFunc:Mre};function Pre(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=hQ(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var Lre={kernelName:vu,backendName:"webgl",kernelFunc:Pre},zre=mp+ `
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return x < 0.0 ? 0. / 0. : log ( x ) ;
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` ,Wre= `
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vec4 result = log ( x ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : ( x . r < 0.0 ? 0. / 0. : result . r ) ;
result . g = isNaN . g ? x . g : ( x . g < 0.0 ? 0. / 0. : result . g ) ;
result . b = isNaN . b ? x . b : ( x . b < 0.0 ? 0. / 0. : result . b ) ;
result . a = isNaN . a ? x . a : ( x . a < 0.0 ? 0. / 0. : result . a ) ;
return result ;
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` ,Bre=Ze({opSnippet:zre,packedOpSnippet:Wre,cpuKernelImpl:mQ}),Vre={kernelName:so,backendName:"webgl",kernelFunc:Bre},Ure=mp+ `
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return log ( 1.0 + x ) ;
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` ,Gre=Ze({opSnippet:Ure}),Hre={kernelName:io,backendName:"webgl",kernelFunc:Gre},jre="return float(a >= 1.0 && b >= 1.0);",qre= `
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return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
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` ,Kre=hn({opSnippet:jre,packedOpSnippet:qre,dtype:"bool"}),Xre={kernelName:wu,backendName:"webgl",kernelFunc:Kre},Yre="return float(!(x >= 1.0));",Zre=Ze({opSnippet:Yre}),Jre={kernelName:ku,backendName:"webgl",kernelFunc:Zre},Qre="return float(a >= 1.0 || b >= 1.0);",ese= `
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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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` ,tse=hn({opSnippet:Qre,packedOpSnippet:ese,dtype:"bool"}),nse={kernelName:Iu,backendName:"webgl",kernelFunc:tse},ase=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l= ` float ( $ { n } ) + float ( $ { a } ) * sum ` ;r===.5?o= ` inversesqrt ( $ { l } ) ` :r===1?o= ` 1.0 / ( $ { l } ) ` :o= ` 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 ;
for ( int j = - $ { s } ; j <= $ { s } ; j ++ ) {
int idx = d + j ;
if ( idx >= 0 && idx <= $ { i } ) {
float z = getX ( b , r , c , idx ) ;
sum += z * z ;
}
}
float val = x * $ { o } ;
setOutput ( val ) ;
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}
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` }},rse=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l= ` float ( $ { n } ) + float ( $ { a } ) * sum ` ;r===.5?o= ` inversesqrt ( $ { l } ) ` :r===1?o= ` 1.0 / ( $ { l } ) ` :o= ` 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 ;
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bool hasNextCol = d < $ { this . outputShape [ 3 ] } ;
bool hasNextRow = c < $ { this . outputShape [ 2 ] } ;
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vec4 sum = vec4 ( 0. ) ;
vec4 xFragAtOutputCoords = getX ( b , r , c , d ) ;
vec4 xAtOutputCoords = vec4 (
getChannel ( xFragAtOutputCoords , vec2 ( c , d ) ) ,
hasNextCol ?
getChannel ( xFragAtOutputCoords , vec2 ( c , d + 1 ) ) : 0.0 ,
hasNextRow ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d ) ) : 0.0 ,
( hasNextRow && hasNextCol ) ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d + 1 ) ) : 0.0
) ;
int firstChannel = d - $ { s } ;
vec2 cache = vec2 ( 0. ) ;
if ( firstChannel >= 0 ) {
vec4 firstChannelFrag = getX ( b , r , c , firstChannel ) ;
cache . x = getChannel ( firstChannelFrag , vec2 ( c , firstChannel ) ) ;
if ( hasNextRow ) {
cache . y = getChannel ( firstChannelFrag , vec2 ( c + 1 , firstChannel ) ) ;
}
}
ivec2 depth = ivec2 ( d , d + 1 ) ;
for ( int j = - $ { s } ; j <= $ { s } ; j ++ ) {
ivec2 idx = depth + j ;
bvec2 aboveLowerBound = greaterThanEqual ( idx , ivec2 ( 0 ) ) ;
bvec2 belowUpperBound = lessThanEqual ( idx , ivec2 ( $ { i } ) ) ;
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bool depthInRange = aboveLowerBound . x && belowUpperBound . x ;
bool depthPlusOneInRange = aboveLowerBound . y && belowUpperBound . y ;
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if ( depthInRange || depthPlusOneInRange ) {
vec4 z = vec4 ( 0. ) ;
vec4 xFragAtCurrentDepth ;
z . xz = cache . xy ;
if ( depthPlusOneInRange && hasNextCol ) {
xFragAtCurrentDepth = idx . y != d ?
getX ( b , r , c , idx . y ) : xFragAtOutputCoords ;
z . y = getChannel ( xFragAtCurrentDepth , vec2 ( c , idx . y ) ) ;
if ( hasNextRow ) {
z . w = getChannel ( xFragAtCurrentDepth , vec2 ( c + 1 , idx . y ) ) ;
}
}
cache . xy = z . yw ;
sum += z * z ;
}
}
vec4 result = xAtOutputCoords * $ { o } ;
setOutput ( result ) ;
}
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` }},sse=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a,u=G().getBool("WEBGL_PACK_NORMALIZATION")?new rse(r.shape,s,i,o,l):new ase(r.shape,s,i,o,l);return n.runWebGLProgram(u,[r],r.dtype)},ise={kernelName:oo,backendName:"webgl",kernelFunc:sse},ose=class{constructor(e,t,n,a,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=a,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 ] ;
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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 ) ) ) ;
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const int MIN _DEPTH _BEGIN = 0 ;
const int MAX _DEPTH _END = $ { this . depth } ;
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float norm = 0.0 ;
for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
norm += getInputImage ( b , r , c , k ) * getInputImage ( b , r , c , k ) ;
}
else {
break ;
}
}
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norm = float ( $ { a } ) * 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 ) {
float dyi = - 2.0 * float ( $ { a } )
* float ( $ { r } )
* getInputImage ( b , r , c , k ) * getOutputImage ( b , r , c , d )
/ n o r m ;
if ( k == d ) {
dyi += pow ( norm , - 1.0 * $ { r } ) ;
}
if ( k == coords [ 3 ] ) {
dyi *= getDy ( b , r , c , d ) ;
result += dyi ;
}
}
else {
break ;
}
}
}
setOutput ( result ) ;
}
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` }},lse=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=a,d=new ose(r.shape,o,l,u,p);return n.runWebGLProgram(d,[r,s,i],r.dtype)},use={kernelName:Su,backendName:"webgl",kernelFunc:lse};function pse(e,t,n,a){let r=w.sizeFromShape(t),s=w.sizeFromShape(e.shape)/r,i=ce({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=el(i,e.dtype,"max",a),l=ce({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}function eF(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=a,o=r.shape.length,l=w.parseAxisParam(s,r.shape),u=l,p=T.getAxesPermutation(u,o),d=p!=null,c=n.shouldExecuteOnCPU([r]),h=r;if(d){if(c){let y=n.texData.get(h.dataId).values,x=new Array(o);for(let N=0;N<x.length;N++)x[N]=r.shape[p[N]];let v=ok(y,r.shape,r.dtype,p,x);h=n.makeTensorInfo(x,r.dtype);let I=n.texData.get(h.dataId);I.values=v}else h=Bf(r,p,n);u=T.getInnerMostAxes(u.length,o)}T.assertAxesAreInnerMostDims("max",u,o);let[m,f]=T.computeOutAndReduceShapes(h.shape,u),g=m;i&&(g=T.expandShapeToKeepDim(m,l));let b;if(c){let y=n.texData.get(h.dataId).values,x=fQ(y,w.sizeFromShape(f),g,r.dtype);b=n.makeTensorInfo(g,r.dtype);let v=n.texData.get(b.dataId);v.values=x}else b=pse(h,f,g,n);return d&&n.disposeIntermediateTensorInfo(h),b}var cse={kernelName:lo,backendName:"webgl",kernelFunc:eF},dse=uk+ `
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return max ( a , b ) ;
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` ,hse= `
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vec4 result = vec4 ( max ( a , b ) ) ;
bvec4 isNaNA = isnan ( a ) ;
bvec4 isNaNB = isnan ( b ) ;
bvec4 isNaN = bvec4 ( isNaNA . x || isNaNB . x , isNaNA . y || isNaNB . y , isNaNA . z || isNaNB . z , isNaNA . w || isNaNB . w ) ;
` +Qo+ `
return result ;
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` ,mse=hn({opSnippet:dse,packedOpSnippet:hse,cpuKernelImpl:gQ}),fse={kernelName:uo,backendName:"webgl",kernelFunc:mse};function gse(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;lp(r,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;w.assert(T.eitherStridesOrDilationsAreOne(i,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${u}' ` );let p=T.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&w.arraysEqual(p.inShape,p.outShape))return ta({inputs:{x:r},backend:n});let d=new Ec(p,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var bse={kernelName:po,backendName:"webgl",kernelFunc:gse};function yse(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=a,p=[1,1,1],d=T.computePool3DInfo(r.shape,s,i,p,o,u,l),c=new ck(d,"max",!1);return n.runWebGLProgram(c,[r],r.dtype)}var xse={kernelName:Nu,backendName:"webgl",kernelFunc:yse},vse=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,a=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode= `
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const ivec2 pads = ivec2 ( $ { i } , $ { o } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
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// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { r } ;
wR += $ { a } ) {
float dyR = float ( dyRCorner + wR ) / $ { t } . 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 < $ { s } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { n } . 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 ) ;
int maxPosValue = $ { l } - int ( getMaxPos ( b , idyR , idyC , d ) ) ;
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// Get the current value, check it against the value from the
// position matrix.
int curPosValue = wR * $ { s } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
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dotProd += dyValue * mask ;
}
}
setOutput ( dotProd ) ;
}
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` }},wse=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,p=o-1-e.padInfo.front,d=l-1-e.padInfo.top,c=u-1-e.padInfo.left,h=o*l*u-1;this.userCode= `
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const ivec3 pads = ivec3 ( $ { p } , $ { d } , $ { c } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
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// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wD = 0 ; wD < $ { o } ;
wD += $ { r } ) {
float dyD = float ( dyDCorner + wD ) / $ { t } . 0 ;
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if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
}
int idyD = int ( dyD ) ;
for ( int wR = 0 ; wR < $ { l } ;
wR += $ { s } ) {
float dyR = float ( dyRCorner + wR ) / $ { n } . 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 < $ { u } ;
wC += $ { i } ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 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 ) ;
int maxPosValue = $ { h } -
int ( getMaxPos ( batch , idyD , idyR , idyC , ch ) ) ;
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// 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 ) ;
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dotProd += dyValue * mask ;
}
}
}
setOutput ( dotProd ) ;
}
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` }};function kse(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=T.computePool3DInfo(i.shape,o,l,d,u,p),h=new ck(c,"max",!0),m=n.runWebGLProgram(h,[i],i.dtype),f=new wse(c),g=n.runWebGLProgram(f,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),g}var Ise={kernelName:Bc,backendName:"webgl",kernelFunc:kse};function Sse(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;lp([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:d}=a,c=T.computePool2DInfo(o.shape,l,u,1,p,d),h=!0,m=new Ec(c,"max",h),f=n.runWebGLProgram(m,[o],o.dtype),g=new vse(c),b=n.runWebGLProgram(g,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),b}var Nse={kernelName:Wc,backendName:"webgl",kernelFunc:Sse};function Tse(e,t,n,a){let r=new Ec(n,"max",!1),s=a.runWebGLProgram(r,[e],"float32");r=new Ec(n,"max",!0,!0,t);let i=a.runWebGLProgram(r,[e],"float32");return[s,i]}var Cse={kernelName:Vc,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;w.assert(a.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { a . shape . length } . ` );let u=[1,1];w.assert(T.eitherStridesOrDilationsAreOne(s,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { s } and dilations '${u}' ` );let p=T.computePool2DInfo(a.shape,r,s,u,i),[d,c]=Tse(a,o,p,l);return[d,c]}};function Ese(e,t,n,a){let r=w.sizeFromShape(t),s=w.sizeFromShape(e.shape)/r,i=ce({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=el(i,"float32","mean",a),l=ce({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}var _se={kernelName:co,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{keepDims:r,axis:s}=t,i=n,o=a.shape.length,l=w.parseAxisParam(s,a.shape),u=l,p=T.getAxesPermutation(u,o),d=p!=null,c=i.shouldExecuteOnCPU([a]),h=[],m=a;if(d){if(c){let x=i.texData.get(m.dataId).values,v=new Array(o);for(let C=0;C<v.length;C++)v[C]=a.shape[p[C]];let I=ok(x,a.shape,a.dtype,p,v);m=i.makeTensorInfo(v,a.dtype);let N=i.texData.get(m.dataId);N.values=I}else m=Bf(a,p,i);h.push(m),u=T.getInnerMostAxes(u.length,o)}T.assertAxesAreInnerMostDims("sum",u,o);let[f,g]=T.computeOutAndReduceShapes(m.shape,u),b=f;r&&(b=T.expandShapeToKeepDim(f,l));let y=Ese(m,g,b,i);for(let x of h)i.disposeIntermediateTensorInfo(x);return y}};function Ase(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=w.parseAxisParam(s,r.shape),u=l,p=T.getAxesPermutation(u,o),d=r;p!=null&&(d=Sn({inputs:{x:r},backend:n,attrs:{perm:p}}),u=T.getInnerMostAxes(u.length,r.shape.length)),T.assertAxesAreInnerMostDims("min",u,o);let[c,h]=T.computeOutAndReduceShapes(d.shape,u),m=w.sizeFromShape(h),f=ce({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=el(f,f.dtype,"min",n),b;if(i){let y=T.expandShapeToKeepDim(c,l);b=ce({inputs:{x:g},backend:n,attrs:{shape:y}})}else b=ce({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),b}var Fse={kernelName:ho,backendName:"webgl",kernelFunc:Ase}, $ se=uk+ `
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return min ( a , b ) ;
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` ,Dse= `
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vec4 result = vec4 ( min ( a , b ) ) ;
bvec4 isNaNA = isnan ( a ) ;
bvec4 isNaNB = isnan ( b ) ;
bvec4 isNaN = bvec4 ( isNaNA . x || isNaNB . x , isNaNA . y || isNaNB . y , isNaNA . z || isNaNB . z , isNaNA . w || isNaNB . w ) ;
` +Qo+ `
return result ;
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` ,Rse=hn({opSnippet: $ se,packedOpSnippet:Dse,cpuKernelImpl:bQ}),Mse={kernelName:mo,backendName:"webgl",kernelFunc:Rse},Ose=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,p)=>u[0]+e[p]+u[1]);let a=e.length,r=ht(a),s=t.map(u=>u[0]).join(","),i=t.map((u,p)=>u[0]+e[p]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),l=n==="reflect"?0:1;if(a===1){this.userCode= `
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int start = $ { s } ;
int end = $ { i } ;
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void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start ) {
outC = start * 2 - outC - $ { l } ;
} else if ( outC >= end ) {
outC = ( end - 1 ) * 2 - outC + $ { l } ;
}
setOutput ( getX ( outC - start ) ) ;
}
` ;return}this.userCode= `
$ { r } start = $ { r } ( $ { s } ) ;
$ { r } end = $ { r } ( $ { i } ) ;
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void main ( ) {
$ { r } outC = getOutputCoords ( ) ;
for ( int i = 0 ; i < $ { a } ; i ++ ) {
if ( outC [ i ] < start [ i ] ) {
outC [ i ] = start [ i ] * 2 - outC [ i ] - $ { l } ;
} else if ( outC [ i ] >= end [ i ] ) {
outC [ i ] = ( end [ i ] - 1 ) * 2 - outC [ i ] + $ { l } ;
}
}
$ { r } coords = outC - start ;
setOutput ( getX ( $ { o } ) ) ;
}
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` }},Pse=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,m)=>h[0]+e[m]+h[1]);let a=e.length,r=ht(a),s=t.map(h=>h[0]).join(","),i=t.map((h,m)=>h[0]+e[m]).join(","),o=In("rc",a),l=In("source",a),u= ` $ { o [ a - 1 ] } < $ { this . outputShape [ a - 1 ] } ` ,p=a===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,d=n==="reflect"?0:1,c="";if(a===1){let h= `
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$ { r } source = rc ;
if ( source < start ) {
source = start * 2 - source - $ { d } ;
} else if ( source >= end ) {
source = ( end - 1 ) * 2 - source + $ { d } ;
}
source -= start ;
` ;c= `
$ { r } rc = outputLoc ;
$ { h }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
$ { o [ a - 1 ] } += 1 ;
if ( $ { u } ) {
$ { h }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
` }else{let h= `
$ { r } source = rc ;
$ { r } lt = $ { r } ( lessThan ( source , start ) ) ;
$ { r } gte = $ { r } ( greaterThanEqual ( source , end ) ) ;
$ { r } orig = 1 - ( lt + gte ) ;
source = orig * source +
lt * ( start * 2 - source - $ { d } ) +
gte * ( ( end - 1 ) * 2 - source + $ { d } ) ;
source -= start ;
` ;c= `
$ { r } rc = outputLoc ;
$ { h }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
$ { o [ a - 1 ] } += 1 ;
if ( $ { u } ) {
$ { h }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
rc = outputLoc ;
$ { o [ a - 2 ] } += 1 ;
if ( $ { o [ a - 2 ] } < $ { this . outputShape [ a - 2 ] } ) {
$ { h }
result [ 2 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
$ { o [ a - 1 ] } += 1 ;
if ( $ { u } ) {
$ { h }
result [ 3 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
}
` }this.userCode= `
const $ { r } start = $ { r } ( $ { s } ) ;
const $ { r } end = $ { r } ( $ { i } ) ;
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void main ( ) {
$ { r } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { c }
setOutput ( result ) ;
}
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` }},Lse=({inputs:e,backend:t,attrs:n})=>{let{x:a}=e,{paddings:r,mode:s}=n,i=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Pse(a.shape,r,s):new Ose(a.shape,r,s);return t.runWebGLProgram(i,[a],a.dtype)},zse={kernelName:fo,backendName:"webgl",kernelFunc:Lse},Wse= ` if ( b == 0.0 ) return NAN ;
return mod ( a , b ) ; ` ,Bse= `
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vec4 result = mod ( a , b ) ;
bvec4 isNaN = equal ( b , vec4 ( 0.0 ) ) ;
` +Qo+ `
return result ;
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` ,Vse=hn({opSnippet:Wse,packedOpSnippet:Bse}),Use={kernelName:go,backendName:"webgl",kernelFunc:Vse},Gse=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 ] ;
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float r = random ( seed ) ;
float cdf = 0.0 ;
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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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` }},Hse= `
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if ( a == b ) {
return 1.0 ;
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} ;
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return a / b ; ` ,jse= `
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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. ;
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}
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return result ;
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` ,tF=hn({opSnippet:Hse,packedOpSnippet:jse,checkOutOfBounds:!0}),qse={kernelName:Hi,backendName:"webgl",kernelFunc:tF},kS="return a - b;",nF=hn({opSnippet:kS,packedOpSnippet:kS,supportsComplex:!0,cpuKernelImpl:LQ}),Kse={kernelName:Bo,backendName:"webgl",kernelFunc:nF};function aF(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=w.parseAxisParam([s],r.shape),o=eF({inputs:{x:r},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=T.expandShapeToKeepDim(o.shape,i),u=ce({inputs:{x:o},backend:n,attrs:{shape:l}}),p=nF({inputs:{a:r,b:u},backend:n}),d=ZA({inputs:{x:p},backend:n}),c=Vf({inputs:{x:d},backend:n,attrs:{axis:i,keepDims:!1}}),h=ce({inputs:{x:c},backend:n,attrs:{shape:l}}),m=tF({inputs:{a:d,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}var Xse={kernelName:zo,backendName:"webgl",kernelFunc:aF};function Yse(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a,l=o?r:aF({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],d=new Gse(u,p,s),c=[[i]],h=n.runWebGLProgram(d,[l],"int32",c);return o||n.disposeIntermediateTensorInfo(l),h}var Zse={kernelName:Tu,backendName:"webgl",kernelFunc:Yse},Jse=Da+ `
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return - x ;
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` ,Qse= `
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vec4 result = - x ;
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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` ;function eie(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])){let s=n.texData.get(a.dataId),[i,o]=xQ(s.values,a.shape,a.dtype);return n.makeTensorInfo(o,a.dtype,i)}let r;return G().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new ts(a.shape,Qse):r=new rr(a.shape,Jse),n.runWebGLProgram(r,[a],a.dtype)}var tie={kernelName:Cu,backendName:"webgl",kernelFunc:eie},nie=mr.nonMaxSuppressionV3Impl;function aie(e){T.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),{selectedIndices:d}=nie(u,p,i,o,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var rie={kernelName:_u,backendName:"webgl",kernelFunc:aie},sie=mr.nonMaxSuppressionV4Impl;function iie(e){T.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),{selectedIndices:c,validOutputs:h}=sie(p,d,i,o,l,u);return[n.makeTensorInfo([c.length],"int32",new Int32Array(c)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var oie={kernelName:Au,backendName:"webgl",kernelFunc:iie},lie=mr.nonMaxSuppressionV5Impl;function uie(e){T.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),c=i,h=o,m=l,f=u,{selectedIndices:g,selectedScores:b}=lie(p,d,c,h,m,f);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([b.length],"float32",new Float32Array(b))]}var pie={kernelName:Fu,backendName:"webgl",kernelFunc:uie},cie=class{constructor(e,t,n,a){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int index = round ( getIndices ( coords . x ) ) ;
setOutput ( mix ( float ( $ { a } ) , float ( $ { n } ) ,
float ( index == coords . y ) ) ) ;
}
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` }},die=e=>{let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=w.sizeFromShape(r.shape),p=new cie(u,i,o,l),d=ce({inputs:{x:r},backend:n,attrs:{shape:[u]}}),c=n.runWebGLProgram(p,[d],s);n.disposeIntermediateTensorInfo(d);let h=[...r.shape,i],m=ce({inputs:{x:c},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(c),m},hie={kernelName:yo,backendName:"webgl",kernelFunc:die};function fm(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="complex64"){let r=Fd({inputs:{input:a},backend:n}),s=fm({inputs:{x:r},backend:n}),i=Uf({inputs:{input:a},backend:n}),o=fm({inputs:{x:i},backend:n}),l= $ s({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return $ d({attrs:{shape:a.shape,dtype:a.dtype,value:a.dtype==="string"?"":0},backend:n})}var mie={kernelName:Yu,backendName:"webgl",kernelFunc:fm};function rF(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(a.dtype==="complex64"){let r=Fd({inputs:{input:a},backend:n}),s=rF({inputs:{x:r},backend:n}),i=Uf({inputs:{input:a},backend:n}),o=fm({inputs:{x:i},backend:n}),l= $ s({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return $ d({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:n})}var fie={kernelName: $ u,backendName:"webgl",kernelFunc:rF};function gie(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return gv({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{w.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),w.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=gv({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=UA({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var bie={kernelName:Du,backendName:"webgl",kernelFunc:gie},yie=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 a=e.length,r=ht(a),s=t.map(l=>l[0]).join(","),i=t.map((l,u)=>l[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);if(a===1){this.userCode= `
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int start = $ { s } ;
int end = $ { i } ;
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void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
setOutput ( value ) ;
} else {
setOutput ( getX ( outC - start ) ) ;
}
}
` ;return}this.userCode= `
$ { r } start = $ { r } ( $ { s } ) ;
$ { r } end = $ { r } ( $ { i } ) ;
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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 ;
setOutput ( getX ( $ { o } ) ) ;
}
}
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` }},xie=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((m,f)=>m[0]+e[f]+m[1]);let a=e.length,r=ht(a),s=t.map(m=>m[0]).join(","),i=t.map((m,f)=>m[0]+e[f]).join(","),o=In("rc",a),l=In("source",a),u= ` $ { o [ a - 1 ] } < $ { this . outputShape [ a - 1 ] } ` ,p=a===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,d=[ ` $ { r } rc = outputLoc ; ` , ` $ { o [ a - 1 ] } += 1 ;
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if ( $ { u } ) {
` ,a===1?"": ` }
rc = outputLoc ;
$ { o [ a - 2 ] } += 1 ;
if ( $ { o [ a - 2 ] } < $ { this . outputShape [ a - 2 ] } ) { ` ,a===1?"": ` $ { o [ a - 1 ] } += 1 ;
if ( $ { u } ) { ` ],c=a===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="";for(let m=0,f=a===1?2:4;m<f;m++)h+= `
$ { d [ m ] }
if ( $ { c } ) {
result [ $ { m } ] = float ( value ) ;
} else {
$ { r } source = rc - start ;
result [ $ { m } ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
` ;h+=a===1?"} ":"}}",this.userCode= `
const $ { r } start = $ { r } ( $ { s } ) ;
const $ { r } end = $ { r } ( $ { i } ) ;
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void main ( ) {
$ { r } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { h }
setOutput ( result ) ;
}
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` }},sF=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;if(w.sizeFromShape(r.shape)===0){let u=s.map((p,d)=>p[0]+r.shape[d]+p[1]);return $ d({backend:n,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new xie(r.shape,s,i):new yie(r.shape,s,i),l=[[i]];return n.runWebGLProgram(o,[r],r.dtype,l)},vie={kernelName:xo,backendName:"webgl",kernelFunc:sF},wie= `
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if ( a < 0.0 && floor ( b ) < b ) {
return NAN ;
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}
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if ( b == 0.0 ) {
return 1.0 ;
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}
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return ( round ( mod ( b , 2.0 ) ) != 1 ) ?
pow ( abs ( a ) , b ) : sign ( a ) * pow ( abs ( a ) , b ) ;
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` ,kie= `
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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 ) ;
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// 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 ;
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bvec4 isNaN1 = lessThan ( a , vec4 ( 0.0 ) ) ;
bvec4 isNaN2 = lessThan ( floor ( b ) , b ) ;
bvec4 isNaN = bvec4 ( isNaN1 . x && isNaN2 . x , isNaN1 . y && isNaN2 . y , isNaN1 . z && isNaN2 . z , isNaN1 . w && isNaN2 . w ) ;
` +Qo+ `
return result ;
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` ,Iie=hn({opSnippet:wie,packedOpSnippet:kie}),Sie={kernelName:vo,backendName:"webgl",kernelFunc:Iie};function Nie(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=[],u=w.parseAxisParam(s,r.shape),p=u,d=T.getAxesPermutation(p,o),c=r;d!=null&&(c=Sn({inputs:{x:r},backend:n,attrs:{perm:d}}),p=T.getInnerMostAxes(p.length,o),l.push(c)),T.assertAxesAreInnerMostDims("prod",p,o);let h;if(n.shouldExecuteOnCPU([c])){let m=n.texData.get(c.dataId).values,{outVals:f,outShape:g,outDtype:b}=wQ(c.shape,c.dtype,m,p);h=n.makeTensorInfo(g,b,f)}else{let[m,f]=T.computeOutAndReduceShapes(c.shape,p),g=w.sizeFromShape(f),b=ce({inputs:{x:c},backend:n,attrs:{shape:[-1,g]}}),y=Mm(r.dtype),x=el(b,y,"prod",n);h=ce({inputs:{x},backend:n,attrs:{shape:m}}),l.push(b),l.push(x)}if(i){l.push(h);let m=T.expandShapeToKeepDim(h.shape,u);h=ce({inputs:{x:h},backend:n,attrs:{shape:m}})}return l.forEach(m=>n.disposeIntermediateTensorInfo(m)),h}var Tie={kernelName:ko,backendName:"webgl",kernelFunc:Nie};function Cie(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(b=>n.readSync(b.dataId)),u=r.map(b=>b.shape),p=n.readSync(s.dataId),d=n.readSync(i.dataId),[c,h,m]=kQ(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(b=>n.makeTensorInfo([b.length],"int32",b)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var Eie={kernelName:Am,backendName:"webgl",kernelFunc:Cie};function _ie(e){let{inputs:t,backend:n}=e,{starts:a,limits:r,deltas:s}=t,i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=IQ(i,a.shape,a.dtype,o,r.shape,l,s.shape),d=n.makeTensorInfo([u.length],"int32",u),c=n.makeTensorInfo([p.length],a.dtype,p);return[d,c]}var Aie={kernelName:Fm,backendName:"webgl",kernelFunc:_ie};function Fie(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),d=n.readSync(i.dataId),c=o.map(g=>n.readSync(g.dataId)),h=o.map(g=>g.shape),[m,f]=SQ(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var $ ie={kernelName: $ m,backendName:"webgl",kernelFunc:Fie},iF=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=NQ(a,r,s,i);return t.makeTensorInfo([o.length],i,o)},Die={kernelName:Uc,backendName:"webgl",kernelFunc:iF},Rie="return 1.0 / x;",Mie=Ze({opSnippet:Rie}),Oie={kernelName:Io,backendName:"webgl",kernelFunc:Mie},Pie=Da+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,Lie= `
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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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` ,zie=Ze({opSnippet:Pie,packedOpSnippet:Lie}),Wie={kernelName:So,backendName:"webgl",kernelFunc:zie},Bie=Da+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,Vie= `
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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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` ,Uie=Ze({opSnippet:Bie,packedOpSnippet:Vie}),Gie={kernelName:Co,backendName:"webgl",kernelFunc:Uie},Hie=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&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 (
$ { u [ 0 ] / p [ 0 ] } ,
$ { u [ 1 ] / p [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { i } . 0 , $ { o } . 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.
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 ) ) ) ;
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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 ) ;
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vec2 fracRC = sourceFracIndexRC - vec2 ( sourceFloorRC ) ;
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float top = topLeft + ( topRight - topLeft ) * fracRC . y ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracRC . y ;
float newValue = top + ( bottom - top ) * fracRC . x ;
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setOutput ( newValue ) ;
}
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` }},jie=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&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 (
$ { u [ 0 ] / p [ 0 ] } ,
$ { u [ 1 ] / p [ 1 ] } ,
$ { u [ 1 ] / p [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { i } . 0 , $ { o } . 0 ,
$ { o } . 0 ) ;
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float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
}
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void main ( ) {
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.
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 ) ) ) ;
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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 } ;
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// In parallel, construct four corners for all four components in
// packed 2x2 cell.
vec4 topLeft = vec4 (
getAValue ( b , sourceFloorRC . x , sourceFloorRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceFloorRC . x , sourceFloorRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceFloorRC . x , sourceFloorRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceFloorRC . x , sourceFloorRC . z , d + 1 ) : 0.0 ) ;
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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 ) ;
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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 ) ;
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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 ) ;
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vec3 fracRC = sourceFracIndexRC - vec3 ( sourceFloorRC ) ;
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vec4 top = mix ( topLeft , topRight , fracRC . yyzz ) ;
vec4 bottom = mix ( bottomLeft , bottomRight , fracRC . yyzz ) ;
vec4 newValue = mix ( top , bottom , fracRC . x ) ;
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setOutput ( newValue ) ;
}
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` }};function qie(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=G().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new jie(r.shape,l,u,s,i):new Hie(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],"float32")}var Kie={kernelName:To,backendName:"webgl",kernelFunc:qie},Xie=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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float accumulator = 0.0 ;
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const float heightScale = float ( $ { u } ) ;
const float widthScale = float ( $ { p } ) ;
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const float invHeightScale = float ( $ { d } ) ;
const float invWidthScale = float ( $ { c } ) ;
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const int winHeight = int ( $ { h } ) ;
const int winWidth = int ( $ { m } ) ;
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// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( startRLerp - float ( winHeight / 2 ) ) ;
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float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( startCLerp - float ( winWidth / 2 ) ) ;
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// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
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// Guard against the window exceeding the bounds of dy
if ( dyR < 0 || dyR >= $ { s } ) {
continue ;
}
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for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
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// Guard against the window exceeding the bounds of dy
if ( dyC < 0 || dyC >= $ { i } ) {
continue ;
}
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float dxR = float ( dyR ) * heightScale ;
int topDxRIndex = int ( floor ( dxR ) ) ;
int bottomDxRIndex = int ( min ( ceil ( dxR ) , $ { a - 1 } . 0 ) ) ;
float dxRLerp = dxR - float ( topDxRIndex ) ;
float inverseDxRLerp = 1.0 - dxRLerp ;
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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 ;
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if ( r == topDxRIndex && c == leftDxCIndex ) {
// topLeft
accumulator +=
getDy ( b , dyR , dyC , d ) * inverseDxRLerp * inverseDxCLerp ;
}
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if ( r == topDxRIndex && c == rightDxCIndex ) {
// topRight
accumulator += getDy ( b , dyR , dyC , d ) * inverseDxRLerp * dxCLerp ;
}
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if ( r == bottomDxRIndex && c == leftDxCIndex ) {
// bottomLeft
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * inverseDxCLerp ;
}
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if ( r == bottomDxRIndex && c == rightDxCIndex ) {
// bottomRight
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * dxCLerp ;
}
}
}
// End loop over dy
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setOutput ( accumulator ) ;
}
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` }};function Yie(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Xie(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Zie={kernelName:Ou,backendName:"webgl",kernelFunc:Yie},Jie=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":c="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec2 effectiveInputOverOutputRatioRC = vec2 (
$ { u [ 0 ] / p [ 0 ] } ,
$ { u [ 1 ] / p [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { i } . 0 , $ { o } . 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.
vec2 sourceFracIndexRC = $ { c } ;
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// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2 (
min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { d } ) ) ) ;
float newValue = getA ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ;
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setOutput ( newValue ) ;
}
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` }},Qie=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":c="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec3 effectiveInputOverOutputRatioRC = vec3 (
$ { u [ 0 ] / p [ 0 ] } ,
$ { u [ 1 ] / p [ 1 ] } ,
$ { u [ 1 ] / p [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { i } . 0 , $ { o } . 0 ,
$ { o } . 0 ) ;
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float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
}
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void main ( ) {
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.
vec3 sourceFracIndexRC = $ { c } ;
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// Compute the coordinators of nearest neighbor point.
ivec3 sourceNearestRC = ivec3 (
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 } ;
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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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` }};function eoe(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=G().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Qie(r.shape,l,u,s,i):new Jie(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],r.dtype)}var toe={kernelName:No,backendName:"webgl",kernelFunc:eoe},noe=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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float accumulator = 0.0 ;
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const float heightScale = float ( $ { u } ) ;
const float widthScale = float ( $ { p } ) ;
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const float invHeightScale = float ( $ { d } ) ;
const float invWidthScale = float ( $ { c } ) ;
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const int winHeight = int ( $ { h } ) ;
const int winWidth = int ( $ { m } ) ;
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// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( floor ( startRLerp - float ( winHeight / 2 ) ) ) ;
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float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( floor ( startCLerp - float ( winWidth / 2 ) ) ) ;
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// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
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// Guard against the window exceeding the bounds of dy
if ( dyR < 0 || dyR >= $ { s } ) {
continue ;
}
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for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
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// Guard against the window exceeding the bounds of dy
if ( dyC < 0 || dyC >= $ { i } ) {
continue ;
}
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float sourceFracRow =
float ( $ { o [ 0 ] } ) *
( float ( dyR ) / float ( $ { l [ 0 ] } ) ) ;
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float sourceFracCol =
float ( $ { o [ 1 ] } ) *
( float ( dyC ) / float ( $ { l [ 1 ] } ) ) ;
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int sourceNearestRow = int ( min (
float ( int ( $ { a } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracRow ) ) :
float ( floor ( sourceFracRow ) ) ) ) ;
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int sourceNearestCol = int ( min (
float ( int ( $ { r } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracCol ) ) :
float ( floor ( sourceFracCol ) ) ) ) ;
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if ( r == sourceNearestRow && c == sourceNearestCol ) {
accumulator += getDy ( b , dyR , dyC , d ) ;
}
}
}
// End loop over dy
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setOutput ( accumulator ) ;
}
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` }};function aoe(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new noe(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var roe={kernelName:Mu,backendName:"webgl",kernelFunc:aoe},soe=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 ) ) ;
}
` ;return}let a=i=>t.indexOf(i)!==-1&&e[i]!==1? ` $ { e [ i ] } - coords [ $ { i } ] - 1 ` : ` coords [ $ { i } ] ` ,r=e.map((i,o)=>a(o)).join(","),s=ht(n);this.userCode= `
void main ( ) {
$ { s } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { r } ) ) ;
}
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` }},ioe=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 a=In("rc",n),r= ` $ { a [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,s= ` $ { a [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,i=ht(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 ) ;
}
setOutput ( result ) ;
}
` :this.userCode= `
void main ( ) {
$ { i } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = $ { o ( a . slice ( ) ) } ;
if ( $ { r } ) {
result . g = $ { l ( a . slice ( ) ) } ;
}
if ( $ { s } ) {
result . b = $ { u ( a . slice ( ) ) } ;
if ( $ { r } ) {
result . a = $ { p ( a . slice ( ) ) } ;
}
}
setOutput ( result ) ;
}
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` ;function o(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 p(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",d(h)}function d(h){let m=e.map((b,y)=>c(y,h)),f=m.join(","),g=m.slice(-2).join(",");return ` getChannel ( getX ( $ { f } ) , vec2 ( $ { g } ) ) ` }function c(h,m){return t.indexOf(h)!==-1&&e[h]!==1? ` $ { e [ h ] } - $ { m [ h ] } - 1 ` : ` $ { m [ h ] } ` }}};function ooe(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=r.shape.length,o=w.parseAxisParam(s,r.shape);if(i===0)return ta({inputs:{x:r},backend:n});let l=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new ioe(r.shape,o):new soe(r.shape,o);return n.runWebGLProgram(l,[r],r.dtype)}var loe={kernelName:Eo,backendName:"webgl",kernelFunc:ooe},uoe=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=e[1],a=e[2];this.outputShape=e;let r="";typeof t=="number"?r= ` float outputValue = $ { t . toFixed ( 2 ) } ; ` :r= `
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vec3 fill = vec3 ( $ { t . join ( "," ) } ) ;
float outputValue = fill [ coords [ 3 ] ] ; ` ,this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int y = coords [ 1 ] ;
float coordXFloat = ( float ( x ) - params [ 0 ] ) * params [ 3 ] -
( float ( y ) - params [ 1 ] ) * params [ 2 ] ;
float coordYFloat = ( float ( x ) - params [ 0 ] ) * params [ 2 ] +
( float ( y ) - params [ 1 ] ) * params [ 3 ] ;
int coordX = int ( round ( coordXFloat + params [ 0 ] ) ) ;
int coordY = int ( round ( coordYFloat + params [ 1 ] ) ) ;
$ { r }
if ( coordX >= 0 && coordX < $ { a } && coordY >= 0 && coordY < $ { n } ) {
outputValue = getImage ( coords [ 0 ] , coordY , coordX , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
}
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` }},poe={kernelName:Zu,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=new uoe(a.shape,s),[u,p]=T.getImageCenter(i,a.shape[1],a.shape[2]),d=[[u,p,Math.sin(r),Math.cos(r)]];return o.runWebGLProgram(l,[a],a.dtype,d)}},coe= `
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// OpenGL ES does not support round function.
// The algorithm is based on banker's rounding.
float base = floor ( x ) ;
if ( ( x - base ) < 0.5 ) {
return floor ( x ) ;
} else if ( ( x - base ) > 0.5 ) {
return ceil ( x ) ;
} else {
if ( mod ( base , 2.0 ) == 0.0 ) {
return base ;
} else {
return base + 1.0 ;
}
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}
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` ,doe=Ze({opSnippet:coe}),hoe={kernelName:_o,backendName:"webgl",kernelFunc:doe},moe="return inversesqrt(x);",foe=Ze({opSnippet:moe,cpuKernelImpl:TQ}),goe={kernelName:Ao,backendName:"webgl",kernelFunc:foe},dk=class{constructor(e,t,n,a,r,s,i=!0,o=!1){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let l=ht(r.length),u=ht(s.length),p="";n===1?p="i":n===2&&(p="i, j");let d= ` getIndices ( $ { p } ) ` ,c="";a===1?c="i":a===2&&(c="i, coords[1]");let h= ` getUpdates ( $ { c } ) ` ,m="";o&&(m="coords[0], coords[1]");let f= ` getDefaultValue ( $ { m } ) ` ,g=t>1?"strides[j]":"strides";this.userCode= `
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$ { l } strides = $ { l } ( $ { r } ) ;
void main ( ) {
$ { u } coords = getOutputCoords ( ) ;
float sum = 0.0 ;
bool found = false ;
for ( int i = 0 ; i < $ { e } ; i ++ ) {
int flattenedIndex = 0 ;
for ( int j = 0 ; j < $ { t } ; j ++ ) {
int index = round ( $ { d } ) ;
flattenedIndex += index * $ { g } ;
}
if ( flattenedIndex == coords [ 0 ] ) {
sum += $ { h } ;
found = true ;
}
}
setOutput ( mix ( $ { f } , sum , float ( found ) ) ) ;
}
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` }},boe=class{constructor(e,t,n,a,r,s,i=!0,o=!1){this.variableNames=["updates","indices","defaultValue"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=s;let l=ht(r.length),u=ht(s.length),p="";n===1?p="i":n===2&&(p="i, j");let d= ` getIndices ( $ { p } ) ` ,c="";a===1?c="i":a===2&&(c="i, coords[1]");let h= ` getUpdates ( $ { c } ) ` ,m="";o&&(m="coords[0], coords[1]");let f= ` getDefaultValue ( $ { m } ) ` ,g=t>1?"strides[j]":"strides",b=t>1?"strides[j + 1]":"strides";this.userCode= `
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$ { l } strides = $ { l } ( $ { r } ) ;
void main ( ) {
$ { u } coords = getOutputCoords ( ) ;
vec4 sum = vec4 ( 0. ) ;
vec4 found = vec4 ( 0. ) ;
for ( int i = 0 ; i < $ { e } ; i += 2 ) {
ivec2 flattenedIndex = ivec2 ( 0 ) ;
for ( int j = 0 ; j < $ { t } ; j += 2 ) {
ivec4 index = round ( $ { d } ) ;
flattenedIndex += index . xz * $ { g } ;
if ( j + 1 < $ { t } ) {
flattenedIndex += index . yw * $ { b } ;
}
}
if ( flattenedIndex [ 0 ] == coords [ 0 ] || flattenedIndex [ 1 ] == coords [ 0 ] ||
flattenedIndex [ 0 ] == coords [ 0 ] + 1 || flattenedIndex [ 1 ] == coords [ 0 ] + 1 ) {
vec4 updVals = $ { h } ;
if ( flattenedIndex [ 0 ] == coords [ 0 ] ) {
sum . xy += updVals . xy ;
found . xy = vec2 ( 1. ) ;
} else if ( flattenedIndex [ 0 ] == coords [ 0 ] + 1 ) {
sum . zw += updVals . xy ;
found . zw = vec2 ( 1. ) ;
}
if ( flattenedIndex [ 1 ] == coords [ 0 ] ) {
sum . xy += updVals . zw ;
found . xy = vec2 ( 1. ) ;
} else if ( flattenedIndex [ 1 ] == coords [ 0 ] + 1 ) {
sum . zw += updVals . zw ;
found . zw = vec2 ( 1. ) ;
}
}
}
setOutput ( mix ( $ { f } , sum , found ) ) ;
}
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` }};function yoe(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=T.calculateShapes(s,r,i),c=[d/u,u];if(d===0)return n.makeTensorInfo(i,r.dtype);let h=ce({inputs:{x:r},backend:n,attrs:{shape:[l,o]}}),m=ce({inputs:{x:s},backend:n,attrs:{shape:[l,u]}}),f=n.makeTensorInfo([],"float32",new Float32Array([0])),g;G().getBool("WEBGL_PACK")?g=new boe(l,o,h.shape.length,m.shape.length,p,c):g=new dk(l,o,h.shape.length,m.shape.length,p,c);let b=n.runWebGLProgram(g,[m,h,f],m.dtype),y=ce({inputs:{x:b},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(f),y}var xoe={kernelName:Pu,backendName:"webgl",kernelFunc:yoe},voe=class{constructor(e,t,n,a){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,n];let r="while (left < right) {",s= ` for ( int i = 0 ; i < $ { Math . ceil ( Math . log2 ( t + 1 ) ) } ; ++ i ) { if ( left >= right ) break ; ` ,i=G().getNumber("WEBGL_VERSION")===2?r:s,o=a==="left"?"<":"<=";this.userCode= `
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int findBound ( int batch , float value ) {
int left = 0 ;
int right = numInputs ;
int mid ;
$ { i }
mid = ( left + right ) / 2 ;
if ( getSortedSequence ( batch , mid ) $ { o } value ) {
left = mid + 1 ;
} else {
right = mid ;
}
}
return right ;
}
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int valueIndex = coords [ 1 ] ;
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float value = getValues ( batch , valueIndex ) ;
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setOutput ( float ( findBound ( batch , value ) ) ) ;
}
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` }};function woe(e){let{inputs:t,backend:n,attrs:a}=e,{sortedSequence:r,values:s}=t,{side:i}=a,o=new voe(r.shape[0],r.shape[1],s.shape[1],i),l=[[r.shape[1]]];return n.runWebGLProgram(o,[r,s],"int32",l)}var koe={kernelName:zu,backendName:"webgl",kernelFunc:woe},Ioe=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let a,r;if(n>4)throw Error( ` Where for rank $ { n } is not yet supported ` );if(n===1)r="resRC",a="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let u=0;u<t.length;u++)l.push( ` $ { i [ u ] } ` ),u<e&&o.push( ` $ { i [ u ] } ` );a=o.join(),r=l.join()}let s=ht(n);this.userCode= `
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void main ( ) {
$ { s } resRC = getOutputCoords ( ) ;
float cVal = getC ( $ { a } ) ;
if ( cVal >= 1.0 ) {
setOutput ( getA ( $ { r } ) ) ;
} else {
setOutput ( getB ( $ { r } ) ) ;
}
}
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` }};function Soe(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=new Ioe(a.shape.length,r.shape,r.shape.length);return n.runWebGLProgram(i,[a,r,s],fa(r.dtype,s.dtype))}var Noe={kernelName:Wu,backendName:"webgl",kernelFunc:Soe},Toe= `
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// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = $ { T . SELU _SCALEALPHA } ;
float scale = $ { T . SELU _SCALE } ;
return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
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` ,Coe=Ze({opSnippet:Toe}),Eoe={kernelName:Fo,backendName:"webgl",kernelFunc:Coe},_oe=mp+ `
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return 1.0 / ( 1.0 + exp ( - 1.0 * x ) ) ;
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` ,Aoe= `
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vec4 result = 1.0 / ( 1.0 + exp ( - 1.0 * x ) ) ;
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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` ,Foe=Ze({opSnippet:_oe,packedOpSnippet:Aoe,cpuKernelImpl:EQ}), $ oe={kernelName:Mo,backendName:"webgl",kernelFunc:Foe},Doe= `
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if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
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` ,Roe=Ze({opSnippet:Doe}),Moe={kernelName:Ro,backendName:"webgl",kernelFunc:Roe},Ooe=mp+ `
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return sin ( x ) ;
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` ,Poe= `
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vec4 result = sin ( x ) ;
bvec4 isNaN = isnan ( x ) ;
$ { Qo }
return result ;
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` ,Loe=Ze({opSnippet:Ooe,packedOpSnippet:Poe}),zoe={kernelName: $ o,backendName:"webgl",kernelFunc:Loe},Woe= `
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float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
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` ,Boe=Ze({opSnippet:Woe}),Voe={kernelName:Do,backendName:"webgl",kernelFunc:Boe},Uoe= `
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float epsilon = 1.1920928955078125 e - 7 ;
float threshold = log ( epsilon ) + 2.0 ;
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bool too _large = x > - threshold ;
bool too _small = x < threshold ;
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float result ;
float exp _x = exp ( x ) ;
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if ( too _large ) {
result = x ;
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}
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else if ( too _small ) {
result = exp _x ;
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}
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else {
result = log ( exp _x + 1.0 ) ;
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}
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return result ;
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` ,Goe=Ze({opSnippet:Uoe}),Hoe={kernelName:Oo,backendName:"webgl",kernelFunc:Goe},joe=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a;w.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((b,y)=>b*y),l=[[0,0]];l.push(...i);for(let b=1+s.length;b<r.shape.length;++b)l.push([0,0]);let u=[],p=sF({inputs:{x:r},backend:n,attrs:{paddings:l,constantValue:0}}),d=T.getReshaped(p.shape,s,o,!1),c=T.getPermuted(d.length,s.length,!1),h=T.getReshapedPermuted(p.shape,s,o,!1),m=ce({inputs:{x:p},backend:n,attrs:{shape:d}}),f=Sn({inputs:{x:m},backend:n,attrs:{perm:c}}),g=ce({inputs:{x:f},backend:n,attrs:{shape:h}});return u.push(p),u.push(m),u.push(f),u.forEach(b=>n.disposeIntermediateTensorInfo(b)),g},qoe={kernelName:Vu,backendName:"webgl",kernelFunc:joe};function Koe(e){let{inputs:t,backend:n}=e,{indices:a,values:r,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error( ` Dense shape must be a vector , saw :
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$ { s . shape } ` );if(a.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { a . shape } ` );if(r.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { r . shape } ` );if(i.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
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$ { i . shape } ` );let o=n.readSync(a.dataId),l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=n.readSync(i.dataId)[0],[d,c,h,m,f]=AQ(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var Xoe={kernelName:Gc,backendName:"webgl",kernelFunc:Koe};function Yoe(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape $ { a . shape } ` );if(r.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape $ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let i=Array.from(n.readSync(r.dataId)),o=n.readSync(a.dataId),l=Array.from(n.readSync(s.dataId)),[u,p,d]=FQ(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var Zoe={kernelName:Gu,backendName:"webgl",kernelFunc:Yoe};function Joe(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.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
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$ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { s . shape } ` );let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=EA(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var Qoe={kernelName:Hc,backendName:"webgl",kernelFunc:Joe};function ele(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.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
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$ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { s . shape } ` );let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=EA(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var tle={kernelName:jc,backendName:"webgl",kernelFunc:ele};function nle(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=T.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let b=n.bufferSync(r),y=n.bufferSync(s),x=w.decodeString(n.readSync(i.dataId)[0]),v=CQ(b,y,o,c,p,u,l,d,x,h);return n.makeTensorInfo(o,v.dtype,v.values)}let m=new dk(u,l,r.shape.length,s.shape.length,d,[c,1],h),f=n.runWebGLProgram(m,[s,r,i],s.dtype),g=ce({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(f),g}var ale={kernelName:Hu,backendName:"webgl",kernelFunc:nle};function rle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=w.parseAxisParam(i,r.shape)[0],l=T.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),d=r.shape.slice();return l.map(c=>{let h=[...d];h[o]=c;let m=fp({inputs:{x:r},backend:n,attrs:{begin:p,size:h}});return p[o]+=c,m})}var sle={kernelName:Uu,backendName:"webgl",kernelFunc:rle},IS="return sqrt(x);",ile=Ze({opSnippet:IS,packedOpSnippet:IS,cpuKernelImpl: $ Q}),ole={kernelName:Po,backendName:"webgl",kernelFunc:ile},lle="return x * x;",ule=Ze({opSnippet:lle}),ple={kernelName:qc,backendName:"webgl",kernelFunc:ule},SS="return (a - b) * (a - b);",cle=hn({opSnippet:SS,packedOpSnippet:SS}),dle={kernelName:Wo,backendName:"webgl",kernelFunc:cle};function hle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;if(r.dtype!=="string")throw new Error("Input must be of datatype string");let s=n.readSync(r.dataId),i=T.fromUint8ToStringArray(s),o=DQ(i,"string",a);return n.makeTensorInfo(r.shape,"string",o)}var mle={kernelName:Kc,backendName:"webgl",kernelFunc:hle};function fle({inputs:e,attrs:t,backend:n}){let{x:a}=e,r=Da+ `
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return x > 0.0 ? 1.0 : float ( $ { t . alpha } ) ;
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` ,s=new rr(a.shape,r);return n.runWebGLProgram(s,[a],a.dtype)}var gle={kernelName:Is,backendName:"webgl",kernelFunc:fle},ble=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let a=n.length,r=ht(n.length),s=ht(n.length),i="";if(a===1)i="coords * strides + begin";else{let o=0;i=n.map((l,u)=>(o++,n.length===1? ` coords * strides [ $ { u } ] + begin [ $ { u } ] ` : ` coords [ $ { o - 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 ( ) {
$ { s } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { i } ) ) ;
}
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` }};function yle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:b,begin:y,end:x,strides:v}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=ce({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||b){w.assert(r.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { r . shape . length } ` );let C=Kt.computeOutShape(y,x,v),_=fp({inputs:{x:r},backend:n,attrs:{begin:y,size:C}});I=ce({inputs:{x:_},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(_)}else if(n.shouldExecuteOnCPU([r])){let C=n.readSync(r.dataId),_=Oe(r.shape,r.dtype,C),F=RQ(h,_,v,y);I=n.makeTensorInfo(m,r.dtype,F.values)}else{let C=new ble(y,v,h);I=n.runWebGLProgram(C,[r],r.dtype)}let N=ce({inputs:{x:I},backend:n,attrs:{shape:m}});return n.disposeIntermediateTensorInfo(I),N}var xle={kernelName:ju,backendName:"webgl",kernelFunc:yle};function vle(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.readSync(p.dataId),h=n.readSync(d.dataId),[m,f]=MQ(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var wle={kernelName:Xc,backendName:"webgl",kernelFunc:vle};function kle(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error( ` Input must be a vector , got shape : $ { s . shape } ` );if(i.shape.length!==0)throw new Error( ` Delimiter must be a scalar , got shape : $ { i . shape } ` );let o=n.readSync(s.dataId),l=n.readSync(i.dataId)[0],[u,p,d]=OQ(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var Ile={kernelName:Yc,backendName:"webgl",kernelFunc:kle};function Sle(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.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 i=n.readSync(s.dataId),o=PQ(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var Nle={kernelName:Zc,backendName:"webgl",kernelFunc:Sle},Tle="return tan(x);",Cle=Ze({opSnippet:Tle}),Ele={kernelName:Vo,backendName:"webgl",kernelFunc:Cle},_le= `
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float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
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` ,Ale=Ze({opSnippet:_le}),Fle={kernelName:Uo,backendName:"webgl",kernelFunc:Ale};function $ le(e){let{inputs:t,backend:n,attrs:a}=e,{tensor:r,indices:s,updates:i}=t,{}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=T.calculateShapes(i,s,r.shape),c=[d/u,u];if(d===0)return n.makeTensorInfo(r.shape,s.dtype);let h=ce({inputs:{x:s},backend:n,attrs:{shape:[l,o]}}),m=ce({inputs:{x:i},backend:n,attrs:{shape:[l,u]}}),f=ce({inputs:{x:r},backend:n,attrs:{shape:c}}),g=new dk(l,o,h.shape.length,m.shape.length,p,c,!1,!0),b=n.runWebGLProgram(g,[m,h,f],f.dtype),y=ce({inputs:{x:b},backend:n,attrs:{shape:r.shape}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(b),y}var Dle={kernelName:Lu,backendName:"webgl",kernelFunc: $ le},Rle=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[s]*t[s];this.outputShape=n,this.rank=n.length;let a=ht(this.rank),r=Mle(e);this.userCode= `
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void main ( ) {
$ { a } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { r } ) ) ;
}
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` }};function Mle(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"],a=[];for(let r=0;r<e.length;r++)a.push( ` imod ( $ { n [ r ] } , $ { e [ r ] } ) ` );return a.join()}function oF(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reps:s}=a;if(r.dtype==="string"||r.shape.length>5){let o=n.readSync(r.dataId),l=r.dtype==="string"?o.map(d=>w.decodeString(d)):o,u=Oe(r.shape,r.dtype,l),p=zQ(u,s);return n.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new Rle(r.shape,s);return n.runWebGLProgram(i,[r],r.dtype)}var Ole={kernelName:ks,backendName:"webgl",kernelFunc:oF},Ple=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 ] ;
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// We compare elements pair-wise within a group of size 2 * inc.
// The comparing rule for each group alternates between ascending
// and descending. Within each group, we compare each pair at
// positions i and i+inc. To decide whether an element at position i
// is x0 or x1, we mod it by 2 * inc, if the result is smaller than
// inc, it is in the first half of the group, we denote it as x0,
// otherwise we denote it as x1.
// For example, as shown in the Bitonic top K paper referenced above,
// Figure5(a) shows that element[1] is in the
// second half of the group when group size is 2, but it is in the
// first half of the group when group size is 4.
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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 ;
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// 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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` }},Lle=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 ] ;
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// 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.
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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 ) ) ;
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float x0 = getX ( batch , i0 ) ;
float x1 = i1 < n ? getX ( batch , i1 ) : x0 ;
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setOutput ( x0 >= x1 ? float ( i0 ) : float ( i1 ) ) ;
}
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` }};function qs(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function NS(e){let t=1;for(;t<e;)t*=2;return t}function zle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{k:s,sorted:i}=a,o=G().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),l=G().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),u=r.shape,p=u[u.length-1];if(n.shouldExecuteOnCPU([r])||p<o||s>l){let F=n.readSync(r.dataId),[D, $ ]=WQ(F,u,r.dtype,s,i);return[n.makeTensorInfo(D.shape,D.dtype,D.values),n.makeTensorInfo( $ .shape, $ .dtype, $ .values)]}if(s===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(p===1)return[r, $ d({attrs:{shape:u,dtype:"int32",value:0},backend:n})];let d=n.texData.get(r.dataId),c=d!==null&&d.isPacked,h=c?n.unpackTensor(r):r,m=w.sizeFromShape(u)/p,f=ce({inputs:{x:h},attrs:{shape:[m,p]},backend:n});c&&qs(n,h);let g=NS(s),b=NS(p),y=null,x=()=>y===null?[f,f]:[f,y],v=(F,D, $ )=>{let S=x(),M=new Ple( $ ),B=[[p],[y===null?1:0],[Number.NEGATIVE_INFINITY],[F],[D]],U=y;y=n.runWebGLProgram(M,S,"int32",B),qs(n,U)};for(let F=1;F<g;F*=2){let D=F*2;for(let $ =F; $ >=1; $ /=2)v(D, $ ,[m,b])}for(let F=b;F>g;F/=2){let D=x(), $ =new Lle([m,F/2]),S=[[p],[y===null?1:0],[g]],M=y;y=n.runWebGLProgram( $ ,D,"int32",S),qs(n,M);let B=g/2,U=B*2;for(let H=B;H>=1;H/=2)v(U,H,y.shape)}let I=y;y=fp({inputs:{x:y},backend:n,attrs:{begin:0,size:[m,s]}}),qs(n,I);let N=QA({inputs:{x:f,indices:y},backend:n,attrs:{axis:1,batchDims:1}});qs(n,f);let C=u.slice(0,-1);C.push(s),I=y,y=ce({inputs:{x:y},attrs:{shape:C},backend:n}),qs(n,I);let _=N;return N=ce({inputs:{x:N},attrs:{shape:C},backend:n}),qs(n,_),[N,y]}var Wle={kernelName:qu,backendName:"webgl",kernelFunc:zle},Ble=class{constructor(e,t,n,a,r,s){this.variableNames=["Image","Transforms"],this.outputShape=s;let i=n==="nearest"?1:2,o;switch(a){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1;break}this.userCode= `
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float mapCoord ( float outCoord , float len ) {
float inCoord = outCoord ;
if ( $ { o } == 2 ) {
if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
if ( inCoord < sz2 ) {
inCoord = sz2 * float ( int ( float ( - inCoord / sz2 ) ) ) +
inCoord ;
}
inCoord = inCoord < - len ? inCoord + sz2 : - inCoord - 1.0 ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
inCoord -= sz2 * float ( int ( float ( inCoord / sz2 ) ) ) ;
if ( inCoord >= len ) {
inCoord = sz2 - inCoord - 1.0 ;
}
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
} else if ( $ { o } == 3 ) {
if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord += len * ( float ( int ( float ( - inCoord / sz ) ) ) + 1.0 ) ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord -= len * float ( int ( float ( inCoord / sz ) ) ) ;
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
} else if ( $ { o } == 4 ) {
return clamp ( outCoord , 0.0 , len - 1.0 ) ;
} else {
return outCoord ;
}
}
float readWithFillValue ( int batch , int coordY , int coordX ,
int channel ) {
float outputValue ;
if ( 0 <= coordY && coordY < $ { 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 ( $ { i } == 1 ) {
int coordY = int ( round ( mapY ) ) ;
int coordX = int ( round ( mapX ) ) ;
outputValue = readWithFillValue ( batch , coordY , coordX ,
channel ) ;
} else {
float yFloor = floor ( mapY ) ;
float xFloor = floor ( mapX ) ;
float yCeil = yFloor + 1.0 ;
float xCeil = xFloor + 1.0 ;
float valueYFloor = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xCeil ) , channel ) ;
float valueYCeil = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xCeil ) , channel ) ;
outputValue = ( yCeil - mapY ) * valueYFloor +
( mapY - yFloor ) * valueYCeil ;
}
}
setOutput ( outputValue ) ;
}
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` }};function Vle(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],b=new Ble(d,c,i,o,l,g);return n.runWebGLProgram(b,[r,s],"float32")}var Ule={kernelName:Ku,backendName:"webgl",kernelFunc:Vle};function Gle(e){let{inputs:t,attrs:n,backend:a}=e,{axis:r}=n,{x:s}=t;lp(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=a.readSync(s.dataId),{outputValues:o,outputShape:l,indices:u}=BQ(i,r,s.shape,s.dtype);return[a.makeTensorInfo(l,s.dtype,o),a.makeTensorInfo([u.length],"int32",u)]}var Hle={kernelName:Jc,backendName:"webgl",kernelFunc:Gle};function jle(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let f=0;f<o;f++)f!==s&&(u[p++]=i.shape[f]);let d=[],c=new Array(o).fill(0),h=i.shape.slice();h[s]=1;let m=new Array(l);for(let f=0;f<m.length;f++){c[s]=f;let g=fp({inputs:{x:i},backend:n,attrs:{begin:c,size:h}}),b=ce({inputs:{x:g},backend:n,attrs:{shape:u}});m[f]=b,d.push(g)}return d.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var qle={kernelName:Xu,backendName:"webgl",kernelFunc:jle},Kle=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,a=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/n);this.outputShape=[a,i];let o="0.0",l="sumValue",u=Math.floor(n/4)*4,p=n%4,d= `
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sumValue += dot ( values , segFilter ) ;
` ,c="";r%n>0&&(c= `
if ( inIdx < 0 || inIdx >= $ { r } ) {
return initializationValue ;
}
` );let h="";r%n>0&&(h= `
if ( inIdx < 0 || inIdx >= $ { r } ) {
return - 1.0 ;
}
` ),this.userCode= `
const float initializationValue = $ { o } ;
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float getValue ( int batch , int inIdx ) {
$ { c }
return getX ( batch , inIdx ) ;
}
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float getSegmentIdAtIndex ( int inIdx ) {
$ { h }
return getSegmentIds ( inIdx ) ;
}
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = int ( floor ( float ( outIdx ) / float (
$ { s } ) ) * float ( $ { n } ) ) ;
int currentSeg = int ( mod ( float ( outIdx ) , float ( $ { s } ) ) ) ;
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float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { 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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int inIdx = inOffset + $ { u } ;
if ( $ { p === 1 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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int inIdxSeg = int ( getSegmentIdAtIndex ( inIdx ) ) ;
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vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
0 ,
0 ,
0
) ;
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$ { d }
} else if ( $ { p === 2 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
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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 ( $ { p === 3 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
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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 ,
0
) ;
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$ { d }
}
setOutput ( $ { l } ) ;
}
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` }};function Xle(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,segmentIds:s}=t,{numSegments:i}=a,o=r.shape.length,l=[],u=0,p=T.getAxesPermutation([u],o),d=r;p!=null&&(d=Sn({inputs:{x:r},backend:n,attrs:{perm:p}}),l.push(d),u=T.getInnerMostAxes(1,o)[0]);let c=T.segment_util.computeOutShape(d.shape,u,i),h=w.sizeFromShape([d.shape[u]]),m=ce({inputs:{x:d},backend:n,attrs:{shape:[-1,h]}});l.push(m);let f=Mm(r.dtype),g=(v,I,N,C,_)=>{let F=v.shape[0],D=v.shape[1], $ =T.segment_util.segOpComputeOptimalWindowSize(D,_),S={windowSize: $ ,inSize:D,batchSize:F,numSegments:_},M=new Kle(S,I),B=n.compileAndRun(M,[v,N],C);if(l.push(B),B.shape[1]===_)return B;let U=iF({backend:n,attrs:{start:0,stop:_,step:1,dtype:"float32"}}),H=oF({inputs:{x:U},backend:n,attrs:{reps:[D/ $ ]}});return l.push(U),l.push(H),g(B,I,H,C,_)},b=g(m,"unsortedSegmentSum",s,f,i),y=ce({inputs:{x:b},backend:n,attrs:{shape:c}}),x=y;if(p!=null){l.push(y);let v=T.getUndoAxesPermutation(p);x=Sn({inputs:{x},backend:n,attrs:{perm:v}})}return l.forEach(v=>n.disposeIntermediateTensorInfo(v)),x}var Yle={kernelName:Qc,backendName:"webgl",kernelFunc:Xle},Zle=[Ree,Oee,zee,Vee,Gee,qee,Xee,Zee,tte,ate,ite,ute,dte,gte,xte,wte,Ite,Cte,_te,Fte,Mte,Vte,Gte,Kte,Yte,nne,rne,lne,bee,cne,gne,vne,Tne,_ne,Fne,Dne,Mne,zne,Vne,Hne,qne,Xne,Zne,eae,nae,iae,lae,cae,mae,gae,vae,Sae,Eae,Fae,Rae,Mae,Pae,zae,Bae,Uae,Hae,Xae,Jae,tre,are,ire,ure,hre,bre,gee,xre,mne,kre,Nre,Ere,xee, $ re,Ore,Lre,Vre,Hre,Xre,Jre,nse,ise,use,cse,fse,bse,xse,Ise,Nse,Cse,_se,Fse,Mse,zse,Use,Zse,kee,tie,rie,oie,pie,Jte,hie,fie,bie,vie,Sie,wee,Tie,Eie,Aie, $ ie,Die,Qte,qse,Oie,Wie,Gie,See,Kie,Zie,toe,roe,loe,poe,hoe,goe,xoe,koe,Noe,Eoe, $ oe,Moe,zoe,Voe,Wte,Xse,Hoe,qoe,Xoe,Zoe,Qoe,tle,ale,sle,ole,ple,dle,mle,gle,xle,wle,Ile,Nle,Kse,Fee,Ele,Fle,Dle,Ole,Wle,Ule, $ ee,Hle,qle,Yle,mie];for(let e of Zle)ed(e);var Qe;(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"})(Qe||(Qe={}));var Ac;(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"})(Ac||(Ac={}));var lF;function Jle(e){lF=e.wasm.cwrap(ii,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Qle(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a,c=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let _=n.dataIdMap.get(i.dataId);if(_.shape.length!==1)throw new Error( ` _FusedMatMul only supports rank - 1 bias but got rank $ { _ . shape . length } . ` );m=_.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=Ac[p];if(g==null)throw new Error( ` $ { p } activation not yet supported for FusedConv2D in the wasm backend . ` );let b=l?r.shape[2]:r.shape[1],y=u?s.shape[1]:s.shape[2],x=Ju.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),v=n.makeOutput([...x,b,y],r.dtype),I=n.dataIdMap.get(v.dataId).id,N=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return lF(c,N,r.shape.length,h,C,s.shape.length,l,u,g,m,f,d||0,I),v}var eue={kernelName:ii,backendName:"wasm",setupFunc:Jle,kernelFunc:Qle};function Xe(e,t){let n;function a(s){n=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return w.sizeFromShape(u.shape)===0||n(l,Qe[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:a,kernelFunc:r}}var tue=Xe(Yl),nue=Xe(Ni),aue=Xe(Ti);function Ut(e,t,n){let a;function r(i){a=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,d=o.dataIdMap.get(u.dataId).id,c=o.dataIdMap.get(p.dataId).id,h=n!=null?n:u.dtype,m=T.assertAndGetBr
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$ { a . shape } ` );if(r.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape
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$ { r . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let i=t.dataIdMap.get(a.dataId).id,o=t.dataIdMap.get(r.dataId).id,l=t.dataIdMap.get(s.dataId).id,u=a.shape[0],p=w.sizeFromShape(s.shape),d=t.makeOutput([u,p],a.dtype),c=t.dataIdMap.get(d.dataId).id,h=t.makeOutput([p],s.dtype),m=t.dataIdMap.get(h.dataId).id,f=t.makeOutput([3],"int32"),g=t.dataIdMap.get(f.dataId).id;T $ (i,o,l,u,c,m,g);let b=t.readSync(f.dataId),y;switch(b[0]){case 0:{y=T.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(b[1],b[2]);break}case 1:{y=T.getSparseReshapeNegativeOutputDimErrorMessage(b[1],b[2]);break}case 2:y=T.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let x=Array.from(t.readSync(r.dataId)),v=Array.from(t.readSync(h.dataId));y=T.getSparseReshapeInputOutputMultipleErrorMessage(x,v);break}case 4:{let x=Array.from(t.readSync(r.dataId)),v=Array.from(t.readSync(h.dataId));y=T.getSparseReshapeInputOutputMismatchErrorMessage(x,v);break}default:y=""}if(t.disposeData(f.dataId),y)throw t.disposeData(d.dataId),t.disposeData(h.dataId),new Error(y);return[d,h]}var kme={kernelName:Gu,backendName:"wasm",setupFunc:vme,kernelFunc:wme},C $ ;function E $ (e){C $ =e.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function _ $ (e,t){let{backend:n,inputs:a}=e,{data:r,indices:s,segmentIds:i}=a,o=s.shape[0],l=n.readSync(i.dataId,o-1,o)[0],u=o>0?l+1:0;if(u<0)throw new Error(T.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),b=n.dataIdMap.get(g.dataId).id;C $ (d,Qe[r.dtype],r.shape[0],c,h,f,b,t,0);let y=n.readSync(g.dataId),x;switch(y[0]){case 0:{x=T.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=T.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=T.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(y[1],y[2]);break;case 3:x=T.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(y[1],y[2],y[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function Ime(e){return _ $ (e,!0)}var Sme={kernelName:Hc,backendName:"wasm",setupFunc:E $ ,kernelFunc:Ime};function Nme(e){return _ $ (e,!1)}var Tme={kernelName:jc,backendName:"wasm",setupFunc:E $ ,kernelFunc:Nme},A $ ;function Cme(e){A $ =e.wasm.cwrap(Hu,null,["number","number","number","number","number","number","number","number","array","number","number"])}function Eme(e){let{backend:t,inputs:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=n,{outputShape:o}=a,l=t.makeOutput(o,i.dtype);if(w.sizeFromShape(o)===0)return l;let{sliceRank:u,numUpdates:p,sliceSize:d,strides:c,outputSize:h}=T.calculateShapes(s,r,o),m=t.dataIdMap.get(r.dataId).id,f=t.dataIdMap.get(s.dataId).id,g=t.dataIdMap.get(i.dataId).id,b=new Uint8Array(new Int32Array(c).buffer),y=t.dataIdMap.get(l.dataId).id;return A $ (m,f,s.shape.length,g,Qe[i.dtype],u,p,d,b,h,y),l}var _me={kernelName:Hu,backendName:"wasm",setupFunc:Cme,kernelFunc:Eme};function Ame(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=w.parseAxisParam(i,r.shape)[0],l=T.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=Ii({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var Fme={kernelName:Uu,backendName:"wasm",kernelFunc:Ame}, $ me=Xe(Po),Dme=Xe(qc),Rme=!0,Mme=Ut(Wo,Rme),F $ ;function Ome(e){F $ =e.wasm.cwrap(Is,null,["number","number","number","number"])}function Pme(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return F $ (i,r,Qe[s.dtype],l),o}var Lme={kernelName:Is,backendName:"wasm",setupFunc:Ome,kernelFunc:Pme}, $ $ ;function zme(e){ $ $ =e.wasm.cwrap(ju,null,["number","array","number","array","ar
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