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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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* /
2020-12-02 22:46:41 +01:00
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with dtype $ { s . dtype } . ` )}),n.length===1)return sr(n[0]);let a=n,r={axis:t};return O.runKernel(Fl,a,r)}var Ze=L({concat_:jD});function KD(e,t,n=!1,a=!1){let r=_(e,"a","matMul"),s=_(t,"b","matMul");[r,s]=Et(r,s);let i={a:r,b:s},o={transposeA:n,transposeB:a};return O.runKernel(vi,i,o)}var Re=L({matMul_:KD});function XD(e){let t={x:_(e,"x","sigmoid","float32")};return O.runKernel(lo,t)}var da=L({sigmoid_:XD});function YD(e,t,n){let a=_(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 O.runKernel(pu,r,s)}var Ve=L({slice_:YD});function ZD(e){let t={x:_(e,"x","tanh","float32")};return O.runKernel(go,t)}var ii=L({tanh_:ZD});function JD(e,t,n,a,r,s){let i=_(e,"forgetBias","basicLSTMCell"),o=_(t,"lstmKernel","basicLSTMCell"),l=_(n,"lstmBias","basicLSTMCell"),u=_(a,"data","basicLSTMCell"),p=_(r,"c","basicLSTMCell"),d=_(s,"h","basicLSTMCell"),c=Ze([u,d],1),h=Re(c,o),m=X(h,l),f=m.shape[0],g=m.shape[1]/4,y=[f,g],b=Ve(m,[0,0],y),x=Ve(m,[0,g],y),w=Ve(m,[0,g*2],y),I=Ve(m,[0,g*3],y),T=X(z(da(b),ii(x)),z(p,da(X(i,w)))),C=z(ii(T),da(I));return[T,C]}var sS=L({basicLSTMCell_:JD});function QD(e,t,n){let a=_(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 O.runKernel( $ l,s,i)}var Cc=L({batchToSpaceND_:QD});function eM(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 tM(e,t,n,a,r,s){s==null&&(s=.001);let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;a!=null&&(p=_(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:eM(i),scale:u,offset:p,mean:o,variance:l},c={varianceEpsilon:s},h=O.runKernel(Di,d,c);return W(h,i.shape)}var vs=L({batchNorm_:tM});function nM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(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 } . ` ),vs(i,o,l,p,u,s)}var zx=L({batchNorm2d_:nM});function aM(e,t,n,a,r,s){let i=_(e,"x","batchNorm"),o=_(t,"mean","batchNorm"),l=_(n,"variance","batchNorm"),u;r!=null&&(u=_(r,"scale","batchNorm"));let p;return a!=null&&(p=_(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 } . ` ),vs(i,o,l,
2022-10-18 13:23:49 +02:00
$ { r } and $ { t } for depthToSpace with input shape
2022-11-12 17:54:00 +01:00
$ { a . shape } ` ),A(s*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
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$ { s } and $ { t } for depthToSpace with input shape
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$ { 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 O.runKernel(Ml,o,l)}var Zx=L({depthToSpace_:NM});function CM(e,t,n,a,r="NHWC",s=[1,1],i){let o=_(e,"x","depthwiseConv2d","float32"),l=_(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=O.runKernel(_i,c,h);return p?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var ws=L({depthwiseConv2d_:CM});function _M(e){let t={x:_(e,"x","diag")};return O.runKernel(im,t)}var lS=L({diag_:_M});function EM(e,t,n,a,r=[1,1],s="NHWC"){let i=_(e,"x","dilation2d"),o=_(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=O.runKernel(lc,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var Jx=L({dilation2d_:EM}),Iu={};Ae(Iu,{assertAndGetBroadcastShape:()=>ot,getBroadcastDims:()=>uS,getReductionAxes:()=>Wt});function uS(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 Wt(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 ot(e,t){let n=[],a=Math.max(e.length,t.length);for(let r=0;r<a;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)n.unshift(i);else if(i===1)n.unshift(s);else if(s!==i){let o= ` Operands could not be broadcast together with shapes $ { e } and $ { t } . ` ;throw Error(o)}else n.unshift(s)}return n}function AM(e,t){let n=_(e,"a","equal","string_or_numeric"),a=_(t,"b","equal","string_or_numeric");[n,a]=Et(n,a),ot(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Ol,r)}var Jn=L({equal_:AM});function $ M(e,t,n){let a=_(t,"a","where"),r=_(n,"b","where"),s=_(e,"condition","where","bool"),i=ot(ot(s.shape,a.shape),r.shape),o=Ys(s,i),l=Ys(a,i),u=Ys(r,i),p={condition:o,t:l,e:u};return O.runKernel(lu,p)}var gn=L({where_: $ M});function FM(e){let t={x:_(e,"x","zerosLike")};return O.runKernel(wu,t)}var qe=L({zerosLike_:FM});function RM(e,t){let n=_(e,"a","div"),a=_(t,"b","div");[n,a]=Et(n,a);let r=he(n,a),s=qe(r),i=Jn(a,s);return gn(i,s,r)}var Qx=L({divNoNan_:RM});function DM(e,t){let n=_(e,"t1","dot"),a=_(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=Re(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=Re(i,o);return W(l,[l.size])}else if(n.rank===2&&a.rank===1){let i=W(a,[-1,1]),o=Re(n,i);return W(o,[o.size])}else{let i=W(a,[a.shape[0],a.shape[1]]);return Re(n,i)}}var ev=L({dot_:DM});function MM(e,...t){let n=t.map((r,s)=>_(r, ` tensors$ { s } ` ,"einsum")),a={equation:e};return O.runKernel(om,n,a)}var pS=L({einsum_:MM});function PM(e){le
rank $ { s . rank } . ` ),A(nl(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=O.runKernel(pc,l,u);return o?W(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var uv=L({localResponseNormalization_:pP});function cP(e){let t={x:_(e,"x","log","float32")};return O.runKernel(zi,t)}var Qn=L({log_:cP});function dP(e){let t={x:_(e,"x","log1p")};return O.runKernel(Kl,t)}var $ c=L({log1p_:dP});function hP(e){return A(as(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let a=_(t,"x","tf.grad","string_or_numeric"),r=n!=null?_(n,"dy","tf.grad"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(a),[a],r);return r!=null&&Sn(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Lm(i),i[0]})}}function mP(e){return A(as(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=Up(t,"args","tf.grads","string_or_numeric"),r=n!=null?_(n,"dy","tf.grads"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(...a),a,r);return r!=null&&Sn(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Lm(i),i})}}function fP(e){return A(as(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{A(t instanceof Ne,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),A(n==null||n instanceof Ne,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:a,value:r}=O.gradients(()=>e(t),[t],n);return Lm(a),{grad:a[0],value:r}}}function gP(e){return A(as(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{A(Array.isArray(t)&&t.every(r=>r instanceof Ne),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),A(n==null||n instanceof Ne,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let a=O.gradients(()=>e(...t),t,n);return n!=null&&Sn(a.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Lm(a.grads),a}}function gS(e,t){A(as(e),()=>"The f passed in variableGrads(f) must be a function"),A(t==null||Array.isArray(t)&&t.every(u=>u instanceof ss),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in O.registeredVariables)t.push(O.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}=O.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 ur(e){return O.customGrad(e)}function Lm(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 yP(e){let t={x:_(e,"x","neg")};return O.runKernel(Ql,t)}var bt=L({neg_:yP});function bP(e){let t={x:_(e,"x","softplus")};return O.runKernel(hu,t)}var yo=L({softplus_:bP});function xP(e){let t=_(e,"x","logSigmoid");return ur(n=>({value:bt(yo(bt(n))),gradFunc:a=>z(a,da(bt(n)))}))(t)}var pv=L({logSigmoid_:xP});function vP(e,t){let n=_(e,"a","sub"),a=_(t,"b","sub");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(mo,r)}var pe=L({sub_:vP});function wP(e,t=-1){let n=_(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 ur((a,r)=>{let s=ha(a,t,!0),i=pe(a,s),o=pe(ie(i,"float32"),Qn(fe(yn(i),t,!0)));return r([o]),{value:o,gradFunc:(l,u)=>{let[p]=u,d=!0,c=yn(p);return pe(l,z(fe(l,t,d),c))}}})(n)}var zm=L({logSoftmax_:wP});function kP(e,t=null,n=!1){let a=_(e,"x","logSumExp"),r=Fa(t,a.shape),s=ha(a,r,!0),i=pe(a,s),o=yn(i),l=fe(o,r),u=Qn(l),p=X(W(s,u.shape),u);if(n){let d=oi(p.shape,r);return W(p,d)}return p}var Wm=L({logSumExp_:kP});function IP(e,t){let n=_(e,"a","logicalAnd","bool"),a=_(t,"b","logicalAnd","bool");ot(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Xl,r)}var $ a=L({logicalAnd_:IP});function SP(e){let t={x:_(e,"x","logicalNot","bool")};return O.runKernel(Yl,t)}var Fc=L({logicalNot_:SP});function TP(e,t){let n=_(e,"a","logicalOr","bool"),a=_(t,"b","logicalOr","bool");ot(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Zl,r)}var Bm=L({logicalOr_:TP});function NP(e,t){let n=_(e,"a","logicalXor","bool"),a=_(t,"b","logicalXor","bool");return ot(n.shape,a.shape), $ a(Bm(e,t),Fc( $ a(e,t)))}var cv=L({logicalXor_:NP}),Hd=2147483648;function CP(e,t,n="left"){let a=_(e,"sortedSequence","searchSorted"),r=_(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(mt(l.shape)>=Hd)throw new Error( ` values tensor size must less than $ { Hd } ` );if(o.shape[1]>=Hd)throw new Error( ` trailing dim _size must less than $ { Hd } for int32 output type , was $ { o . shape [ 1 ] } ` );let u={sortedSequence:o,values:l},p={side:n};return O.runKernel(Sm,u,p)}var Vm=L({searchSorted_:CP});function yS(e,t){return Vm(e,t,"left")}function _P(e,t,n,a,r){let s=_(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(cr(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=O.runKernel(Vi,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Dt=L({maxPool_:_P});function EP(e,t=[1,1,1],n,a,r,s="NDHWC"){let i=_(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=O.runKernel(cc,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var dv=L({maxPool3d_:EP});function AP(e,t,n,a,r=!1){let s={x:_(e,"x","maxPoolWithArgmax")},i={filterSize:t,strides:n,pad:a,includeBatchInIndex:r},o=O.runKernel(gm,s,i);return{result:o[0],indexes:o[1]}}var bS=L({maxPoolWithArgmax_:AP});function $ P(e,t){let n=_(e,"a","maximum"),a=_(t,"b","maximum");[n,a]=Et(n,a),n.dtype==="bool"&&(n=ie(n,"int32"),a=ie(a,"int32")),ot(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Bi,r)}var dr=L({maximum_: $ P});function FP(e,t=null,n=!1){let a={x:_(e,"x","mean")},r={axis:t,keepDims:n};return O.runKernel(Ui,a,r)}var Ct=L({mean_:FP});function It(e,t="float32"){
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 } .
Expected : $ { s } . ` )}typeof expect!="undefined"&&expect().nothing()}function iO(e,t){e().then(()=>t.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function oO(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Yr(e)||Yr(e[0])||Yr(t)||Yr(t[0])? $ b(e,n,(a,r)=>a==r): $ b(e,t,(a,r)=>xv(a,r,0))}function lO(e,t,n){if(n==null&&(n=bv()),!xv(e,t,n))throw new Error( ` Numbers differ : actual === $ { e } , expected === $ { t } ` );typeof expect!="undefined"&&expect().nothing()}function xv(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function uO(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 pO(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 RS(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?RS(n):e[t]=Ic(n)}return e}function cO(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 dO(e){await e.play(),"requestVideoFrameCallback"in e&&await new Promise(t=>{e.requestVideoFrameCallback(t)})}var vv=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=yv.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}},hO=class{constructor(e,t,n,a){this.alpha=e,this.beta=1/t,this.dtype=n;let r=a||Math.random();this.randu=yv.alea(r.toString()),this.randn=new vv(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)}},mO=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=yv.alea(a)}convertValue(e){return this.canReturnFloat()?e:Math.round(e)}nextValue(){return this.convertValue(this.min+this.range*this.random())}};function fO(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 hO(t,n,a,r),i=Le(e,a);for(let o=0;o<i.values.length;o++)i.values[o]=s.nextValue();return i.toTensor()}var DS=L({randomGamma_:fO});function gO(e,t=0,n=1,a,r){if(na(e),a!=null&&a==="bool")throw new Error( ` Unsupported data type $ { a } ` );let s=new vv(t,n,a,!1,r),i=Le(e,a);for(let o=0;o<i.values.length;o++)i.values[o]=s.nextValue();return i.toTensor()}var Um=L({randomNormal_:gO});function yO(e,t,n){if(t!=null&&t==="bool")throw new Error( ` Unsupported data type $ { t } ` );return Um(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=O.runKernel(hc,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var DL=L({sparseFillEmptyRows_:RL});function ML(e,t,n){let a=_(e,"inputIndices","sparseReshape","int32"),r=_(t,"inputShape","sparseReshape","int32"),s=_(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=O.runKernel(gu,i);return{outputIndices:o[0],outputShape:o[1]}}var PL=L({sparseReshape_:ML});function OL(e,t,n){let a=_(e,"data","sparseSegmentMean"),r=_(t,"indices","sparseSegmentMean","int32"),s=_(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 O.runKernel(mc,i)}var LL=L({sparseSegmentMean_:OL});function zL(e,t,n){let a=_(e,"data","sparseSegmentSum"),r=_(t,"indices","sparseSegmentSum","int32"),s=_(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 O.runKernel(fc,i)}var WL=L({sparseSegmentSum_:zL});function BL(e,t,n,a,r,s,i,o){let l=_(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error( ` Data must be a vector , saw : $ { l . shape } ` );let u=_(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:n,nGramWidths:a,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},d={data:l,dataSplits:u},c=O.runKernel(yc,d,p);return{nGrams:c[0],nGramsSplits:c[1]}}var VL=L({stringNGrams_:BL});function UL(e,t,n=!0){let a=_(e,"input","stringSplit","string"),r=_(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=O.runKernel(bc,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var GL=L({stringSplit_:UL});function HL(e,t){let n=_(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 O.runKernel(xc,r,a)}var qL=L({stringToHashBucketFast_:HL}),oT={fft:Oc,ifft:ll,rfft:Lc,irfft:Zm},lT={hammingWindow:S3,hannWindow:eT,frame:tT,stft:_3},Ea={flipLeftRight:F3,grayscaleToRGB:D3,resizeNearestNeighbor:iT,resizeBilinear:sT,rotateWithOffset:P3,cropAndResize:A3,nonMaxSuppression:L3,nonMaxSuppressionAsync:q3,nonMaxSuppressionWithScore:K3,nonMaxSuppressionWithScoreAsync:Y3,nonMaxSuppressionPadded:J3,nonMaxSuppressionPaddedAsync:eL,threshold:sL,transform:oL},Pv={bandPart:uL,gramSchmidt:cL,qr:hL},uT={absoluteDifference:gL,computeWeightedLoss:Fr,cosineDistance:bL,hingeLoss:vL,huberLoss:kL,logLoss:SL,meanSquaredError:NL,sigmoidCrossEntropy:EL,softmaxCrossEntropy:FL},pT={sparseFillEmptyRows:DL,sparseReshape:PL,sparseSegmentMean:LL,sparseSegmentSum:WL},cT={stringNGrams:VL,stringSplit:GL,stringToHashBucketFast:qL},ne={};Ae(ne,{Serializable:()=>dT,SerializationMap:()=>Hs,registerClass:()=>hT});var dT=class{getClassName(){return this.constructor.className}static fromConfig(e,t){return new e(t)}},Hs=class{constructor(){this.classNameMap={}}static getMap(){return Hs.instance==null&&(Hs.instance=new Hs),Hs.instance}static register(e){Hs.getMap().classNameMap[e.className]=[e,e.fromConfig]}};function hT(e){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."),Hs.register(e)}var Rr=class extends dT{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 _e(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 gS(e,t)}dispose(){this.iterations_!=null&&_e(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 extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Rr,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var Ov=class extends Rr{constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=O.backend.epsilon())}static get className(){return"Adadelta"}applyGradien
2023-01-21 15:06:35 +01:00
Manifest JSON has weights with names : $ { o . join ( ", " ) } . ` )}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x<m;x++)f+=p[c+x].byteLength;let g=new ArrayBuffer(f),y=new Uint8Array(g),b=0;for(let x=0;x<m;x++){let w=new Uint8Array(p[c+x]);y.set(w,b),b+=w.byteLength}s[h].forEach(x=>{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=UI(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var az="application/octet-stream",rz="application/json",Uv=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?(A(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of ` fetch ` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,A(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&A(e.length===2,()=> ` URL paths for http must have a length of 2 , ( actual length is $ { e . length } ) . ` ),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=GI(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:rz}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:az}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Tc(e),responses:[r]};throw new Error( ` BrowserHTTPRequest . save ( ) failed due to HTTP response status $ { r . status } . ` )}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error( ` Request to $ { this . path } failed with status code $ { e . status } . Please verify this URL points to the model JSON of the model to load . ` );let t;try{t=await e.json()}catch(r){let s= ` Failed to parse model JSON of response from $ { this . path } . ` ;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error( ` The JSON from HTTP path $ { this . path } contains neither model topology or manifest for weights . ` );return Nx(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=sz(t),r=this.weightPathPrefix||n,s=qI(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await mT(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Tx(l)]}};Uv.URL_SCHEME_REGEX=/^https?: \/ \/ /;function sz(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function Fb(e){return e.match(Uv.URL_SCHEME_REGEX)!=null}var gT=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>Fb(a)):n=Fb(e),n)return Gv(e,t)}return null}; $ t.registerSaveRouter(gT); $ t.registerLoadRouter(gT);function Gv(e,t){return new Uv(e,t)}function iz(e,t){return Gv(e,t)}var ib=class{constructor(e){this.modelArtifacts=e}
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indices . shape [ 0 ] = $ { e } ` }function hW(e,t){return ` indices ( $ { e } , 0 ) is invalid : $ { t } < 0 ` }function mW(e,t,n){return ` indices ( $ { e } , 0 ) is invalid : $ { t } >= $ { n } ` }function fW(e,t){return ` only one output dimension may be - 1 , not both $ { e } and $ { t } ` }function gW(e,t){return ` size $ { e } must be non - negative , not $ { t } ` }function yW(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function bW(e,t){let n=mt(e),a=mt(t);return ` Input to reshape is a SparseTensor with $ { n }
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dense values , but the requested shape requires a multiple of $ { a } . inputShape = $ { e } outputShape = $ { t } ` }function xW(e,t){let n=mt(e),a=mt(t);return ` Input to reshape is a tensor with $ { n } dense values , but the requested shape has $ { a } . inputShape = $ { e } outputShape = $ { t } ` }function vW(){return"segment ids must be >= 0"}function wW(){return"segment ids are not increasing"}function kW(e,t){return ` Segment id $ { e } out of range [ 0 , $ { t } ) , possibly because segmentIds input is not sorted . ` }function IW(e,t,n){return ` Bad : indices [ $ { e } ] == $ { t } out of range [ 0 , $ { n } ) ` }var DT={};Ae(DT,{collectGatherOpShapeInfo:()=>NW,computeOutShape:()=>TW,segOpComputeOptimalWindowSize:()=>SW});function SW(e,t){let n=!1,a;for(e<=jv?(a=e,n=!0):a=mh(e,Math.floor(Math.sqrt(e)));!n;)a>t||a===e?n=!0:a=mh(e,a+1);return a}function TW(e,t,n){let a=[],r=e.length;for(let s=0;s<r;s++)s!==t?a.push(e[s]):a.push(n);return a}function NW(e,t,n,a){let r=t.shape.length,s=e.shape.length;if(a!==0&&(a<-r||a>r))throw new Error( ` Expect batchDims in the range of [ - $ { r } , $ { r } ] , but got $ { a } ` );if(a<0&&(a+=r),a>s)throw new Error( ` batchDims ( $ { a } ) must be less than rank ( x ) (
$ { s } ) . ` );if(n<a)throw new Error( ` batchDims ( $ { a } ) must be less than or equal to axis ( $ { n } ) . ` );for(let d=0;d<a;++d)if(e.shape[d]!==t.shape[d])throw new Error( ` x . shape [ $ { d } ] : $ { e . shape [ d ] } should be equal to indices . shape [ $ { d } ] : $ { t . shape [ d ] } . ` );let i=e.shape[n],o=[],l=1,u=1,p=1;for(let d=0;d<a;++d)o.push(e.shape[d]),l*=e.shape[d];for(let d=a;d<n;d++)o.push(e.shape[d]),u*=e.shape[d];for(let d=a;d<r;d++)o.push(t.shape[d]);for(let d=n+1;d<s;d++)o.push(e.shape[d]),p*=e.shape[d];return{batchSize:l,sliceSize:p,outerSize:u,dimSize:i,outputShape:o}}function CW(e){try{return e.map(t=>vh(t))}catch(t){throw new Error( ` Failed to decode encoded string bytes into utf - 8 , error : $ { t } ` )}}function _W(e){return e.map(t=>Ic(t))}var hr={};Ae(hr,{nonMaxSuppressionV3Impl:()=>nT,nonMaxSuppressionV4Impl:()=>aT,nonMaxSuppressionV5Impl:()=>rT,whereImpl:()=>GS});KL();var MT={kernelName:wl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,xo(ie(n,"float32"),-1))}}},EW={kernelName:kl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=it(ie(n,"float32")),r=pn(pe(xe(1),a));return bt(he(e,r))}}}},AW={kernelName:Il,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=pn(pe(it(ie(n,"float32")),1));return he(e,a)}}}}, $ W={kernelName:fs,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ot(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}},FW={kernelName:yi,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},RW={kernelName:bi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},DW={kernelName:rc,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},MW={kernelName:Nl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,pn(pe(xe(1),it(ie(n,"float32")))))}}},PW={kernelName:Cl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=pn(X(xe(1),it(ie(n,"float32"))));return he(e,a)}}}},OW={kernelName:Al,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=ot(n.shape,a.shape);return{a:()=>{let s=X(it(n),it(a)),i=z(e,he(a,s)),o=Wt(n.shape,r);return o.length>0&&(i=fe(i,o)),W(i,n.shape)},b:()=>{let s=X(it(n),it(a)),i=bt(z(e,he(n,s))),o=Wt(a.shape,r);return o.length>0&&(i=fe(i,o)),W(i,a.shape)}}}},LW={kernelName:_l,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,X(it(ie(n,"float32")),1))}}},zW={kernelName:El,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>he(e,pe(xe(1),it(ie(n,"float32"))))}}};function WW(e,t,n,a,r,s){let i=_(e,"dy","avgPool3dGrad"),o=_(t,"input","avgPool3dGrad"),l=i,u=o,p=!1;o.rank===4&&(p=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),u=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),A(l.rank===5,()=> ` Error in avgPool3dGrad : dy must be rank 5 but got rank $ { l . rank } . ` ),A(u.rank===5,()=> ` Error in avgPool3dGrad : input must be rank 5 but got rank $ { u . rank } . ` ),Tn("avgPool3dGrad",r,s);let d={dy:l,input:u},c={filterSize:n,strides:a,pad:r,dimRoundingMode:s},h=O.runKernel(Yh,d,c);return p?W(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var BW=L({avgPool3dGrad_:WW}),VW={kernelName:sc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i,dimRoundingMode:o}=n;return{x:()=>BW(e,a,r,s,i,o)}}};function UW(e,t,n,a,r){let s=_(e,"dy","avgPoolGrad"),i=_(t,"input","avgPoolGrad");A(i.rank===s.rank,()=> ` Rank of input ( $ { i . rank } ) does not match rank of dy ( $ { s . rank } ) ` );let o=i,l=s,u=!1;i.rank===3&&(u=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(l.rank===4,()=> ` Error in avgPoolGrad : dy must be rank 4 but got rank $ { l . rank } . ` ),A(o.rank===4,()=> ` Error in avgPoolGrad : input must be rank 4 but got rank $ { o . rank } . ` );let p={dy:l,input:o},d={filterSize:n,strides:a,pad:r},c=O.runKernel(Xh,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var GW=L({avgPoolGrad_:UW}),HW={kernelName:xi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i}=n;return{x:()=>GW(e,a,r,s,i)}}},qW={kernelName
2022-10-18 13:23:49 +02:00
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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2022-12-01 20:56:40 +01:00
'className' and 'config' must set . ` );let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in Ia?[o,l]=Ia.className:i in t&&([o,l]=t[i]),o==null)throw new V( ` Unknown $ { a } : $ { i } . This may be due to one of the following reasons :
2022-10-18 13:23:49 +02:00
1. The $ { a } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
2023-01-21 15:06:35 +01:00
2. The custom $ { a } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );if(l!=null){let u={};for(let h of Object.keys(Ia))u[h]=Ia[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},Ia);for(let h of Object.keys(n))Ia[h]=n[h];Db(s.config);let c=l(o,s.config,n,r);return Ia=Object.assign({},d),c}else{let u=Object.assign({},Ia);for(let d of Object.keys(n))Ia[d]=n[d];let p=new o(s.config);return Ia=Object.assign({},u),p}}}function R4(e,t){return e<t?-1:e>t?1:0}function qd(e,t){return-1*R4(e,t)}function ts(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function D4(e){if(e==null)throw new V( ` Invalid value in obj : $ { JSON . stringify ( e ) } ` );for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function wo(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V( ` $ { n } is not a valid $ { t } . Valid values are $ { e } or null / undefined . ` )}function Xv(e,t,n=0,a=1/0){return nr(n>=0),nr(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function en(e,t){Array.isArray(e)?(v.assert(e.length>0,()=> ` $ { t } is unexpectedly an empty array . ` ),e.forEach((n,a)=>en(n, ` element $ { a + 1 } of $ { t } ` ))):v.assert(Number.isInteger(e)&&e>0,()=> ` Expected $ { t } to be a positive integer , but got $ { zT ( e ) } . ` )}function zT(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>zT(t)).join(",")+"]":typeof e=="string"? ` "${e}" ` : ` $ { e } ` }function M4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a<t||(a=i,r=e(...s)),r}}function WT(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}var P4=0;function BT(){return P4++}var jd={};function lf(e=""){return e in jd||(jd[e]=0),jd[e]+=1,e+jd[e].toString()}var O4=["channelsFirst","channelsLast"],L4=["nearest","bilinear"],z4=["valid","same","causal"],W4=["max","avg"],B4=["sum","mul","concat","ave"],jo=new Map;function Mt(e){wo(O4,"DataFormat",e)}function V4(e){wo(L4,"InterpolationFormat",e)}function xa(e){wo(z4,"PaddingMode",e)}function VT(e){wo(W4,"PoolMode",e)}var Pp=[],sk="/";function Zs(e,t){Pp.push(e);try{let n=t();return Pp.pop(),n}catch(n){throw Pp.pop(),n}}function U4(){return Pp.length===0?"":Pp.join(sk)+sk}function UT(e){if(!HT(e))throw new Error("Not a valid tensor name: '"+e+"'");return U4()+e}function GT(e){if(!HT(e))throw new Error("Not a valid tensor name: '"+e+"'");jo.has(e)||jo.set(e,0);let t=jo.get(e);if(jo.set(e,jo.get(e)+1),t>0){let n= ` $ { e } _$ { t } ` ;return jo.set(n,1),n}else return e}var G4=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9 \. _ \/ ]* $ /);function HT(e){return!!e.match(G4)}function H4(e){return e===parseInt(e.toString(),10)}function ns(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;r<n;++r)a*=e[r];return a}function cl(e){if(e.length===0)return Number.NaN;let t=Number.POSITIVE_INFINITY;for(let n=0;n<e.length;n++){let a=e[n];a<t&&(t=a)}return t}function os(e){if(e.length===0)return Number.NaN;let t=Number.NEGATIVE_INFINITY;for(let n=0;n<e.length;n++){let a=e[n];a>t&&(t=a)}return t}function qa(e,t){if(t<e)throw new V( ` end ( $ { t } ) < begin ( $ { e } ) is forbidden . ` );let n=[];for(let a=e;a<t;++a)n.push(a);return n}var lb;function qt(){return lb==null&&(lb=eS().epsilon()),lb}function ja(){return"channelsLast"}function ir(e,t){return ie(e,t)}function Bc(e,t=-1){let n=e.shape.slice();return t<0&&(t=n.length+t+1),n.splice(t,0,1),W(e,n)}function q4(e,t){return P(()=>{if(e.shape.length!==2)throw new V( ` repeat ( ) expects a rank - 2 tensor , but received a rank - $ { e . shape . length } tensor . ` );let n=Bc(e,1);return Mb(n,[1,t,1])})}function j4(e){let t=[ns(e.shape)];return W(e,t)}function K4(e){if(e.rank<=1)throw new V( ` batchFlatten requires a minimum rank of 2. Got rank : $ { e . rank } . ` );let t=[e.shape[0],ns(e.shape,1)];return W(e,t)}function Js(e,t,n){return P(()=>{switch(e.rank){case 1:return Pc(e,t,n);case 2:return Ym(e,[t,0],[n,e.shape[1]]);case 3:return bo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return ol(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return Ve(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);cas
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tensor . shape [ 0 ] , but sum of lengths is
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tensor . shape [ 0 ] , but sum of lengths is
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$ { a } , and tensor ' s shape is : $ { e . shape } ` );let s=e.shape.slice(1),i=Qb(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=W(e,[1,a,o]);for(let d=0;d<t.length;++d){let c=[0,d===0?0:r[d-1],0],h=[1,t[d],o];p[d]=W(Ve(e,c,h),i)}return e.dispose(),p}),u=new ml([],n,e.dtype,t.length);for(let p=0;p<l.length;p++)u.setItem(p,l[p]);return u}var t6=async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[Tr(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=Tr(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>wn(r,t,n)!==void 0);if(a){let r=wn(a,t,n);return[Tr(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[Tr(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[Tr(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[Tr(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new YH(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,xe(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[xe(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=QH(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=JH(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("element
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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,aq),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=>P(()=>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=>P(()=>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=N0(async()=>({value:await t.iterator(),done:!1}));return B6(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 = R6 . alea ( t || v . 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 ( ) } } ; Ru . MAX _BUFFER _SIZE = 1e4 ; function Kn ( e , t = null ) { return new class extends Ru { constructor ( ) { super ( ... arguments ) , this . size = t } async iterator ( ) { return e ( ) } } } function tq ( e ) { return Kn ( async ( ) => C2 ( e ) , e . length ) } function nq ( e ) { if ( ! fl ( 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 T2 ( e , a => { if ( a instanceof Ru ) return { value : a . iterator ( ) , recurse : ! 1 } ; if ( fl ( a ) ) return { value : null , recurse : ! 0 } ; throw new Error ( "Leaves of the structure passed to zip() must be Datasets, not primitives." ) } ) ; return V6 ( n , Jr . SHORTEST ) } , t ) } function aq ( e ) { if ( e === null ) return null ; let t = e [ 0 ] ; return O6 ( t ) ? { value : rq ( e ) , recurse : ! 1 } : { value : null , recurse : ! 0 } } function rq ( e ) { if ( e . length === 0 ) throw new Error ( "Can't make a batch of zero elements." ) ; return e [ 0 ] instanceof Ne ? Ft ( e ) : fn ( e ) } var A2 = class extends Ru { constructor ( e ) { super ( ) , this . input = e } async iterator ( ) { return ( await this . input . iterator ( ) ) . decodeUTF8 ( ) . split ( `
` ).map(e=>(e.endsWith(" \r ")&&(e=e.slice(0,-1)),e))}},Zd='"',Sp=Symbol("out"),Dk=Symbol("field"),Jd=Symbol("quote"),fb=Symbol("quoteafterquote"),Mk=Symbol("quoteinquote"), $ 2=class extends Ru{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new A2(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(v.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&v.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((a,r)=>(a[r]=a[r]+1||1,a),{}),n=Object.keys(t).filter(a=>t[a]>1);if(v.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let a of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(a)===-1)throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},a={};for(let r=0;r<this.fullColumnNames.length;r++){let s=this.fullColumnNames[r],i=this.columnConfigs?this.columnConfigs[s]:null;if(!(this.configuredColumnsOnly&&!i)){let o=t[r],l=null;if(o==="")if(i&&i.default!==void 0)l=i.default;else{if(i&&(i.required||i.isLabel))throw new Error( ` Required column $ { s } is empty in this line : $ { e } ` );l=void 0}else{let u=Number(o);if(isNaN(u))i&&i.dtype==="bool"?l=this.getBoolean(o):l=o;else if(!i||!i.dtype)l=u;else switch(i.dtype){case"float32":l=u;break;case"int32":l=Math.floor(u);break;case"bool":l=this.getBoolean(o);break;default:l=u}}i&&i.isLabel?a[s]=l:n[s]=l}}return Object.keys(a).length===0?n:{xs:n,ys:a}}getBoolean(e){return e==="1"||e.toLowerCase()==="true"?1:0}parseRow(e,t=!0){let n=[],a=0,r=e.length,s=Sp;for(let i=0;i<r;i++)switch(s){case Sp:switch(e.charAt(i)){case Zd:a=i+1,s=Jd;break;case this.delimiter:if(a=i+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),s=Sp;break;default:s=Dk,a=i;break}break;case Dk:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(a,i)),s=Sp,a=i+1;break;default:}break;case Jd:switch(e.charAt(i)){case Zd:s=fb;break;default:}break;case fb:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(a,i-1)),s=Sp,a=i+1;break;case Zd:s=Jd;break;default:s=Mk;break}break;case Mk:switch(e.charAt(i)){case Zd:s=Jd;break;default:}break;default:}if(s===fb?n.push(e.substring(a,r-1)):n.push(e.substring(a)),t&&n.length!==this.fullColumnNames.length)throw new Error( ` Invalid row in csv file . Should have $ { this . fullColumnNames . length } elements in a row , but got $ { n } ` );return n}},F2=class extends nn{constructor(e){super(),this.microphoneConfig=e,this.isClosed=!1,this.fftSize=e.fftSize||1024;let t=Math.log2(this.fftSize);if(this.fftSize<0||t<4||t>14||!Number.isInteger(t))throw new Error( ` Invalid fftSi
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=== === === === === === === === === =
Hi , 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 a={id:this.nextDataId()};return this.data.set(a,{values:e,dtype:n,refCount:1}),a}makeTensorInfo(e,t,n){let a;if(t==="string"&&n!=null&&n.length>0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return{dataId:a,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,a,r){this.data.set(e,{values:t,dtype:a,refCount:r})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let a=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return N.mergeRealAndImagArrays(a,r)}return v.convertBackendValuesAndArrayBuffer(this.data.get(e).values,t)}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Le(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Le(e.shape,e.dtype,t)}makeOutput(e,t,n){return Ca().makeTensorFromTensorInfo(this.makeTensorInfo(t,n,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(e);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){ge([e],"where");let t=this.readSync(e.dataId);return bq(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};_0.nextDataId=0;var W2={};Ae(W2,{addImpl:()=>U2,bincountImpl:()=>A0,bincountReduceImpl:()=>G2,castImpl:()=>V2,ceilImpl:()=>H2,concatImpl:()=> $ 0,equalImpl:()=>q2,expImpl:()=>K2,expm1Impl:()=>Y2,floorImpl:()=>Z2,gatherNdImpl:()=>J2,gatherV2Impl:()=>Q2,greaterEqualImpl:()=>tC,greaterImpl:()=>eC,lessEqualImpl:()=>aC,lessImpl:()=>nC,linSpaceImpl:()=>rC,logImpl:()=>sC,maxImpl:()=>iC,maximumImpl:()=>oC,minimumImpl:()=>lC,multiplyImpl:()=>F0,negImpl:()=>uC,notEqualImpl:()=>pC,prodImpl:()=>cC,raggedGatherImpl:()=>dC,raggedRangeImpl:()=>hC,raggedTensorToTensorImpl:()=>mC,rangeImpl:()=>D0,rsqrtImpl:()=>fC,scatterImpl:()=>Zo,sigmoidImpl:()=>dj,simpleAbsImpl:()=>B2,sliceImpl:()=>Ph,sparseFillEmptyRowsImpl:()=>yC,sparseReshapeImpl:()=>bC,sparseSegmentReductionImpl:()=>M0,sqrtImpl:()=>fj,squaredDifferenceImpl:()=>xC,stridedSliceImpl:()=>vC,stringNGramsImpl:()=>P0,stringSplitImpl:()=>O0,stringToHashBucketFastImpl:()=>L0,subImpl:()=>wC,tileImpl:()=>kC,topKImpl:()=>SC,transposeImpl:()=>R0,uniqueImpl:()=>TC});function B2(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var xq=e=>{let{x:t}=e.inputs,n=e.backend;ge(t,"abs");let a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return a=B2(r),n.makeOutput(a,t.shape,t.dtype)},vq={kernelName:wl,backendName:"cpu",kernelFunc:xq};function Vt(e){return(t,n,a,r,s)=>{let i=N.assertAndGetBroadcastShape(t,n),o=i.length,l=v.computeStrides(i),u=v.sizeFromShape(i),p=v.getTypedArrayFromDType(s,u),d=t.length,c=n.length,h=v.computeStrides(t),m=v.computeStrides(n),f=N.getBroadcastDims(t,i),g=N.getBroadcastDims(n,i);if(f.length+g.length===0)for(let y=0;y<p.length;++y)p[y]=e(a[y%a.length],r[y%r.length]);else for(let y=0;y<p.length;++y){let b=v.indexToLoc(y,o,l),x=b.slice(-d);f.forEach(C=>x[C]=0);let w=v.locToIndex(x,d,h),I=b.slice(-c);g.forEach(C=>I[C]=0);let T=v.locToIndex(I,c,m);p[y]=e(a[w],r[T])}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.complexTensorInfos={real:n.makeTensorInfo(a.shape,"float32",s),imag:n.ma
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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]=yC(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 XX={kernelName:hc,backendName:"cpu",kernelFunc:KX};function YX(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]=bC(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var ZX={kernelName:gu,backendName:"cpu",kernelFunc:YX};function JX(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]=M0(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var QX={kernelName:mc,backendName:"cpu",kernelFunc:JX};function eY(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]=M0(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var tY={kernelName:fc,backendName:"cpu",kernelFunc:eY};function nY(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}=N.calculateShapes(s,r,o),h=!1,m=n.bufferSync(r),f;switch(s.dtype){case"bool":{let g=n.bufferSync(s),y=Boolean(n.data.get(i.dataId).values[0]);f=Zo(m,g,o,c,p,u,l,d,y,h);break}case"float32":{let g=n.bufferSync(s),y=n.data.get(i.dataId).values[0];f=Zo(m,g,o,c,p,u,l,d,y,h);break}case"int32":{let g=n.bufferSync(s),y=n.data.get(i.dataId).values[0];f=Zo(m,g,o,c,p,u,l,d,y,h);break}case"string":{let g=n.bufferSync(s),y=v.decodeString(n.data.get(i.dataId).values[0]);f=Zo(m,g,o,c,p,u,l,d,y,h);break}default:throw new Error( ` Unsupported type $ { s . dtype } ` )}return n.makeTensorInfo(o,f.dtype,f.values)}var aY={kernelName:Tm,backendName:"cpu",kernelFunc:nY};function rY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.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=di({inputs:{x:r},backend:n,attrs:{begin:u,size:c}});return u[o]+=d,h})}var sY={kernelName:fu,backendName:"cpu",kernelFunc:rY},iY={kernelName:gc,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}}},oY=rt(bs,(e,t)=>{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),lY={kernelName:bs,backendName:"cpu",kernelFunc:oY};function uY(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:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=ft({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { r . shape . length } ` );let T=Kt.computeOutShape(b,x,w),C=di({inputs:{x:r},backend:n,attrs:{begin:b,size:T}});I=ft({inputs:{x:C},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(C)}else{let T=n.bufferSync(r),C=vC(h,T,w,b);I=n.makeTensorInfo(m,C.dtype,C.values)}return I}var pY={kernelName:yu,backendName:"cpu",kernelFunc:uY};function cY(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]=P0(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var dY={kernelName:yc,backendName:"cpu",kernelFunc:cY};function hY(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]=O0(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 mY={kernelName:bc,backendName:"cpu",kernelFunc:hY};function fY(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=L0(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var gY={kernelName:xc,backendName:"cpu",kernelFunc:fY},yY=rt(fo,e=>Math.tan(e)),bY=
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` ),s=r.length.toString().length+2,i=r.map((d,c)=>v.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 $ { v . rightPad ( u [ 0 ] , o ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(p.join( `
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` ))}function KC(e){return Dr(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function XC(e,t){if(ce(e,()=>e.linkProgram(t)),!H().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 ih(e,t){if(ce(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function YC(e,t){let n=Dr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ce(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),ce(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function ZC(e,t){let n=Dr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ce(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),ce(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function KY(){return H().getNumber("WEBGL_VERSION")===2?1:4}function JC(e){return Dr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function QC(e,t){let n=H().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 e_(e){return Dr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function rx(e,t,n,a,r,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(ce(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),ce(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),ce(e,()=>e.enableVertexAttribArray(o)),!0)}function t_(e,t,n){i_(e,n),ce(e,()=>e.activeTexture(e.TEXTURE0+n)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function XY(e,t){i_(e,t),ce(e,()=>e.activeTexture(e.TEXTURE0+t)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function n_(e,t,n){return Dr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function a_(e,t,n){return e.getUniformLocation(t,n)}function r_(e,t,n,a){ce(e,()=>t_(e,t,a)),ce(e,()=>e.uniform1i(n,a))}function YY(e){ce(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),ce(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),ce(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function oh(e,t,n){ce(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),ce(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function sx(e,t){ce(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),ce(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function $ p(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+s_(e,t))}function s_(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 Dr(e,t,n){let a=ce(e,()=>t());if(a==null)throw new Error(n);return a}function i_(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 hi(e,t=2){return v.sizeFromShape(e.slice(0,e.length-t))}function mi(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 Fp(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[hi(e),...mi(e)]),t}function o_(e,t=!1){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE"),a=H().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");a===1/0&&H().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?v.nearestLargerEven(e[l]):e[l]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=v.squeezeShape(e).newShape);let r=v.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 So(e,t,n="index"){let a=v.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 _f(e,t,n="index"){let a=v.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 eZ(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 tZ(e,t,n="index"){let a=e.map((s,i)=>i),r=eZ(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 H0(e){let t=v.computeStrides(e).map(n=>n.toString());return `
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int getFlatIndex ( ivec3 coords ) {
return coords . x * $ { t [ 0 ] } + coords . y * $ { t [ 1 ] } + coords . z ;
}
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` }function q0(){return `
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int getFlatIndex ( ivec3 coords ) {
return coords . x * outShapeStrides [ 0 ] + coords . y * outShapeStrides [ 1 ] + coords . z ;
}
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` }var m_= `
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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:f_}=N;function nZ(e,t,n){let a=[];if(e.forEach(c=>{let h=v.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}=j0(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( `
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` ),s=e.map(c=>aZ(c,t,n.packedInputs,n.enableShapeUniforms)).join( `
` ),i=t.texShape,o=Cn(),l=iZ(o),u,p,d=uZ(o);return t.isPacked?(u=rZ(t.logicalShape,i,n.enableShapeUniforms),p=lZ(o)):(u=sZ(t.logicalShape,i,n.enableShapeUniforms),p=oZ(o)),n.packedInputs&&(d+=hZ),[d,l,p,r,u,s,n.userCode].join( `
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` )}function Ou(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return TZ(e,t);case 1:return CZ(e,t);case 2:return EZ(e,t);case 3:return $ Z(e,t);case 4:return RZ(e,t);case 5:return DZ(e);case 6:return MZ(e);default:throw new Error( ` $ { n . length } - D input sampling is not yet supported ` )}}function g_(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return SZ(e);case 1:return NZ(e,t);case 2:return _Z(e,t);case 3:return AZ(e,t);default:return FZ(e,t)}}function aZ(e,t,n=!1,a){let r="";n?r+=g_(e,a):r+=Ou(e,a);let s=e.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(n?r+=PZ(e,t):r+=OZ(e,t)),r}function rZ(e,t,n){switch(e.length){case 0:return y_();case 1:return mZ(e,t,n);case 2:return kZ(e,t,n);case 3:return gZ(e,t,n);default:return bZ(e,t,n)}}function sZ(e,t,n){switch(e.length){case 0:return y_();case 1:return fZ(e,t,n);case 2:return IZ(e,t,n);case 3:return yZ(e,t,n);case 4:return xZ(e,t,n);case 5:return vZ(e,t);case 6:return wZ(e,t);default:throw new Error( ` $ { e . length } - D output sampling is not yet supported ` )}}function iZ(e){return `
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float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
return $ { e . texture2D } ( textureSampler , uv ) . r ;
}
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` }function oZ(e){return `
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void setOutput ( float val ) {
$ { e . output } = vec4 ( val , 0 , 0 , 0 ) ;
}
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` }function lZ(e){return `
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void setOutput ( vec4 val ) {
$ { e . output } = val ;
}
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` }function uZ(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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$ { pZ }
$ { cZ }
$ { dZ }
` }var pZ= `
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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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` ,cZ= `
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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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` ,dZ= `
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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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` ,hZ= `
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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 y_(){return `
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int getOutputCoords ( ) {
return 0 ;
}
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` }function mZ(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 fZ(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 gZ(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 yZ(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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$ { _f ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
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}
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` ;let a=So(["r","c","d"],e);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { a }
return ivec3 ( r , c , d ) ;
}
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` }function bZ(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 xZ(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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$ { _f ( [ "r" , "c" , "d" , "d2" ] , e ) }
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return ivec4 ( r , c , d , d2 ) ;
}
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` ;let a=So(["r","c","d","d2"],e);return `
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ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { a }
return ivec4 ( r , c , d , d2 ) ;
}
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` }function vZ(e,t){let n=So(["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 wZ(e,t){let n=So(["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 kZ(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(v.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 IZ(e,t,n){return v.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 To(e){return ` offset$ { e } ` }function SZ(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=Cn();return `
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vec4 $ { n } ( ) {
return $ { a . texture2D } ( $ { t } , halfCR ) ;
}
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` }function TZ(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=To(n);if(t)return `
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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 NZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=Cn();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 CZ(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 ) {
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$ { Lu ( e ) }
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}
` ;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 ) ;
}
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` ;let o=To(n);return i===1?t? `
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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 _Z(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=Cn();if(s!=null&&v.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 EZ(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&&v.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 ) ;
}
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` }let{newShape:i,keptDims:o}=v.squeezeShape(n),l=i;if(l.length<n.length){let c=zu(e,l),h=["row","col"];return `
$ { Ou ( c , t ) }
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float $ { r } ( int row , int col ) {
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return $ { r } ( $ { Wu ( h , o ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
float $ { r } ( int row , int col ) {
int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { n [ 1 ] } , 1 ) ) ) ;
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$ { Lu ( e ) }
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}
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` ;let u=s[0],p=s[1],d=To(a);return p===1?t? `
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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 AZ(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=zu(e,c),f=["b","row","col"];return `
$ { g _ ( m , t ) }
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vec4 $ { r } ( int b , int row , int col ) {
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return $ { r } ( $ { Wu ( f , h ) } ) ;
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}
` }let o=Cn();if(t)return `
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 $ Z(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}=v.squeezeShape(n),u=o;if(u.length<n.length){let f=zu(e,u),g=["row","col","depth"];return `
$ { Ou ( f , t ) }
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float $ { r } ( int row , int col , int depth ) {
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return $ { r } ( $ { Wu ( 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 ) ) ) ;
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$ { Lu ( 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 ) ;
}
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` ;let m=To(a);return t? `
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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 FZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=Cn();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 RZ(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}=v.squeezeShape(n);if(l.length<n.length){let b=zu(e,l),x=["row","col","depth","depth2"];return `
$ { Ou ( b , t ) }
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float $ { r } ( int row , int col , int depth , int depth2 ) {
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return $ { r } ( $ { Wu ( x , u ) } ) ;
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}
` }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 ) ) ) ;
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$ { Lu ( 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 y=To(a);return t? `
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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 + $ { y } ) ;
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 + $ { y } ) ;
return sampleTexture ( $ { a } , uv ) ;
}
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` }function DZ(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}=v.squeezeShape(t);if(l.length<t.length){let f=zu(e,l),g=["row","col","depth","depth2","depth3"];return `
$ { Ou ( f ) }
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float $ { a } ( int row , int col , int depth , int depth2 , int depth3 ) {
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return $ { a } ( $ { Wu ( g , u ) } ) ;
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}
` }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 ;
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$ { Lu ( 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=To(n);return `
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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 MZ(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:r,keptDims:s}=v.squeezeShape(t);if(r.length<t.length){let g=zu(e,r),y=["row","col","depth","depth2","depth3","depth4"];return `
$ { Ou ( g ) }
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float $ { a } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
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return $ { a } ( $ { Wu ( y , s ) } ) ;
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}
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` }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 ) ) ) ;
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$ { Lu ( e ) }
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}
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` ;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 ) ;
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}
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` ;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 ) ;
}
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` ;let f=To(n);return `
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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 ) ;
}
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` }function Lu(e){let t=e.name,n=v.sizeFromShape(e.shapeInfo.logicalShape);return n<2? ` return $ { t } ; ` : `
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for ( int i = 0 ; i < $ { n } ; i ++ ) {
if ( i == index ) {
return $ { t } [ i ] ;
}
}
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` }function PZ(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=f_(e.shapeInfo.logicalShape,t.logicalShape),l=gt(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,y)=> ` coords . $ { d [ y + u ] } ` ).join(", ");let h="return outputValue;",m=v.sizeFromShape(e.shapeInfo.logicalShape)===1,f=v.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,y=s-1;o.indexOf(g)>-1&&o.indexOf(y)>-1?h="return vec4(outputValue.x);":o.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(y)>-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 OZ(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&&v.arraysEqual(i,s))return `
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float $ { r } ( ) {
return sampleTexture ( $ { n } , resultUV ) ;
}
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` ;let u=gt(l),p=f_(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( `
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` );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 gt(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 j0(e,t,n){let{newShape:a,keptDims:r}=v.squeezeShape(t),s=t.length,i=e&&s===3&&t[0]===1,o=i?t.slice(1):a,l=!e&&s>1&&!v.arraysEqual(t,n)&&a.length<s||i;return{useSqueezeShape:l,uniformShape:l?o:t,keptDims:r}}function zu(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function Wu(e,t){return t.map(n=>e[n]).join(", ")}function LZ(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=nZ(r,i,t),l=jC(e.gl,o),u=e.createProgram(l);return H().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i},b_(e,t,u))}function b_(e,t,n){let a={},r={},s={},i=[],o,l,u,p=null,d=null;d=e.getUniformLocation(n,"NAN",!1),H().getNumber("WEBGL_VERSION")===1&&(p=e.getUniformLocation(n,"INFINITY",!1));let c=!1;for(let h=0;h<t.variableNames.length;h++){let m=t.variableNames[h];a[m]=e.getUniformLocation(n,m,c),a[ ` offset$ { m } ` ]=e.getUniformLocation(n, ` offset$ { m } ` ,c),t.enableShapeUniforms&&(r[ ` $ { m } Shape ` ]=e.getUniformLocation(n, ` $ { m } Shape ` ,c),s[ ` $ { m } TexShape ` ]=e.getUniformLocation(n, ` $ { m } TexShape ` ,c))}return t.enableShapeUniforms&&(o=e.getUniformLocation(n,"outShape",c),u=e.getUniformLocation(n,"outShapeStrides",c),l=e.getUniformLocation(n,"outTexShape",c)),t.customUniforms&&t.customUniforms.forEach((h,m)=>{i[m]=e.getUniformLocation(n,h.name,c)}),{uniformLocations:a,customUniformLocations:i,infLoc:p,nanLoc:d,inShapesLocations:r,inTexShapesLocations:s,outShapeLocation:o,outShapeStridesLocation:u,outTexShapeLocation:l}}function Vk(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(!v.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(!v.arraysEqual(o,l))throw Error( ` Binary was compiled with different texture shapes than the current args . Shape $ { o } and $ { l } must match ` )})}function zZ(e,t,n,a,r){t.program.enableShapeUniforms||(Vk(t.inShapeInfos,n),Vk([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),H().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((l,u)=>{let p=t.program.variableNames[u],d=t.uniformLocations[p],c=t.uniformLocations[ ` offset$ { p } ` ],h=t.inShapesLocations[ ` $ { p } Shape ` ],m=t.inTexShapesLocations[ ` $ { p } TexShape ` ];if(h){let{uniformShape:f}=j0(t.program.packedInputs,l.shape,l.texData.texShape);switch(f.length){case 1:e.gl.uniform1iv(h,new Int32Array(f));break;case 2:e.gl.uniform2iv(h,new Int32Array(f));break;case 3:e.gl.uniform3iv(h,new Int32Array(f));break;case 4:e.gl.uniform4iv(h,new Int32Array(f));break;default:break}}if(m&&e.gl.uniform2i(m,l.texData.texShape[0],l.texData.texShape[1]),d!=null){if(l.isUniform){if(v.sizeFromShape(l.shape)<2)e.gl.uniform1f(d,l.uniformValues[0]);else{let f=l.uniformValu
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { this . enableShapeUniforms ? _f ( [ "r" , "c" , "d" ] , e ) : So ( [ "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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` }},VZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Zp.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Cn();this.outputShape=e,this.enableShapeUniforms=_n(this.outputShape.length),this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { this . enableShapeUniforms ? _f ( [ "r" , "c" , "d" ] , e ) : So ( [ "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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` }},UZ=class{constructor(e){this.variableNames=["A"],this.outTexUsage=pa.DOWNLOAD;let t=Cn();this.outputShape=e,this.userCode= `
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$ { m _ }
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void main ( ) {
float x = getAAtOutCoords ( ) ;
$ { t . output } = encode _float ( x ) ;
}
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` }},GZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=pa.DOWNLOAD;let t=Cn();this.outputShape=e,this.userCode= `
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$ { m _ }
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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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` }},HZ={R:0,G:1,B:2,A:3},Uk=class{constructor(e,t=!1,n="RGBA"){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let a=Cn();this.outputShape=e,this.enableShapeUniforms=_n(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 [ $ { HZ [ o ] } ] ;
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} ` }this.userCode= `
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$ { this . enableShapeUniforms ? q0 ( ) : H0 ( e ) }
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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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` }},qZ=class{constructor(e,t=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=Cn();this.outputShape=e,this.enableShapeUniforms=_n(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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}
}
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` }this.userCode= `
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$ { this . enableShapeUniforms ? q0 ( ) : H0 ( e ) }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
int flatIndex , r , c , offset ;
ivec3 localCoords ;
vec2 uv ;
vec4 values ;
$ { a }
$ { n . output } = $ { r } ;
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}
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` }},x_={};Ae(x_,{bindVertexProgramAttributeStreams:()=>__,createBufferFromOutputTexture:()=> $ _,createFloat16MatrixTexture:()=>S_,createFloat16PackedMatrixTexture:()=>C_,createFloat32MatrixTexture:()=>I_,createIndexBuffer:()=>k_,createPackedMatrixTexture:()=>N_,createUnsignedBytesMatrixTexture:()=>T_,createVertexBuffer:()=>w_,createVertexShader:()=>v_,downloadByteEncodedFloatMatrixFromOutputTexture:()=>R_,downloadFloat32MatrixFromBuffer:()=>F_,downloadMatrixFromPackedOutputTexture:()=>M_,downloadPackedMatrixFromBuffer:()=>D_,getInternalFormatForFloat16MatrixTexture:()=>X0,getInternalFormatForFloat16PackedMatrixTexture:()=>J0,getInternalFormatForFloat32MatrixTexture:()=>K0,getInternalFormatForPackedMatrixTexture:()=>Z0,getInternalFormatForUnsignedBytesMatrixTexture:()=>Y0,uploadDenseMatrixToTexture:()=>E_,uploadPixelDataToTexture:()=>A_});function v_(e){let t=Cn(),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 qC(e,n)}function w_(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 YC(e,t)}function k_(e){let t=new Uint16Array([0,1,2,2,1,3]);return ZC(e,t)}function Qc(e,t,n,a,r,s){QC(t,n);let i=JC(e),o=e.TEXTURE_2D;return ce(e,()=>e.bindTexture(o,i)),ce(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),ce(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),ce(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),ce(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),H().getNumber("WEBGL_VERSION")===1?ce(e,()=>e.texImage2D(o,0,a,t,n,0,r,s,null)):ce(e,()=>e.texStorage2D(o,1,a,t,n)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,null)),{texture:i,texShape:[n,t]}}function K0(e){return e.internalFormatFloat}function I_(e,t,n,a){let[r,s]=Jc(t,n);return Qc(e,r,s,K0(a),a.textureFormatFloat,e.FLOAT)}function X0(e){return e.internalFormatHalfFloat}function S_(e,t,n,a){let[r,s]=Jc(t,n);return Qc(e,r,s,X0(a),a.textureFormatFloat,a.textureTypeHalfFloat)}function Y0(e){return e.downloadTextureFormat}function T_(e,t,n,a){let[r,s]=Jc(t,n);return Qc(e,r,s,Y0(a),e.RGBA,e.UNSIGNED_BYTE)}function Z0(e){return e.internalFormatPackedFloat}function N_(e,t,n,a){let[r,s]=Mu(t,n);return Qc(e,r,s,Z0(a),e.RGBA,e.FLOAT)}function J0(e){return e.internalFormatPackedHalfFloat}function C_(e,t,n,a){let[r,s]=Mu(t,n);return Qc(e,r,s,J0(a),e.RGBA,a.textureTypeHalfFloat)}function __(e,t,n){return ce(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),rx(e,t,"clipSpacePos",n,3,20,0)&&rx(e,t,"uv",n,2,20,12)}function E_(e,t,n,a,r,s){ce(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),H().getNumber("WEBGL_VERSION")===2?ce(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,a,e.RGBA,o,i)):ce(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,a,0,e.RGBA,o,i)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function A_(e,t,n){ce(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?H().getNumber("WEBGL_VERSION")===2?ce(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)):ce(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):H().getNumber("WEBGL_VERSION")===2?ce(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)):ce(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function $ _(e,t,n,a){let r=e.createBuffer();ce(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*n;return ce(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),ce(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),ce(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function F_(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 R_(e,t,n,a){let[r,s]=Jc(t,n),i=4,o=new Uint8Array(VY(t*n,i));return ce(e,()=>e.readPixels(0,0,r,s,a.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function D_(e,t,n,a,r,s,i,o){let l=e,u=new Float32Array(UY(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 M_(e,t,n){let a=new Float32Array(t*n*4);return ce(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,a)),a}var ph=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let t=H().getNumber("WEBGL_VERSION");if(e!=null?(this.gl=e,UC(t,e)):this.gl=Ka(t),e=this.gl,H().getNumber("WEBGL_VERSION")===2){let r=e;this.createVertexArray=()=>ce(r,()=>r.createVertexArray()),this.bindVertexArray=s=>ce(r,()=>r.bindVertexArray(s)),this.deleteVertexArray=s=>ce(r,()=>r.deleteVertexArray(s)),this.getVertexArray=()=>ce(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=()=>c
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void main ( ) {
setOutput ( vec4 ( getA ( ) , 0. , 0. , 0. ) ) ;
2021-03-26 15:26:02 +01:00
}
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` ;else{let t=kn("rc",this.rank),n=gt(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 ] } ) ` }},W_=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=_n(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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$ { z7 ( t , this . enableShapeUniforms ) }
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$ { this . enableShapeUniforms ? q0 ( ) : H0 ( e ) }
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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 z7(e,t){return `
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ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
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$ { t ? tZ ( [ "r" , "c" , "d" ] , "inputShape" ) : So ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
}
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` }var W7=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let a=Hk(t,n),r=qk(e,a,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=Gk(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].shift();return this.usedTextures[r].push(o),o}let i;return a===un.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===un.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===un.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===un.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===un.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=Hk(n,a),s=qk(t,r,a);s in this.freeTextures||(this.freeTextures[s]=[]);let i=Gk(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,a),o=H().get("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.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used", ` $ { this . numFreeTextures } / $ { this . numUsedTextures } ` , ` ( $ { e } ) ` );let t=this._numBytesFree/this._numBytesAllocated;console.log( ` Bytes allocated : $ { this . _numBytesAllocated } ` ),console.log( ` Bytes unused : $ { this . _numBytesFree } ( $ { Math . round ( 100 * t ) } % ) ` )}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.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 B7(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 Gk(e,t,n,a,r){let s=V7(t,a),i;if(r){let[l,u]=Mu(e[0],e[1]);i=l*u}else{let[l,u]=Jc(e[0],e[1]);i=l*u}let o=B7(n,s);return i*o}function V7(e,t){switch(e){case un.PACKED_2X2_FLOAT32:return Z0(t);case un.PACKED_2X2_FLOAT16:return J0(t);case un.UNPACKED_FLOAT32:return K0(t);case un.UNPACKED_FLOAT16:return X0(t);case un.PACKED_4X1_UNSIGNED_BYTE:return Y0(t);default:throw new Error( ` Unknown physical texture type $ { e } ` )}}function U7(e){return H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?un.PACKED_2X2_FLOAT32:un.UNPACKED_FLOAT32:e?un.PACKED_2X2_FLOAT16:un.UNPACKED_FLOAT16}function Hk(e,t){if(e===pa.UPLOAD)return un.PACKED_2X2_FLOAT32;if(e===pa.RENDER||e==null)return U7(t);if(e===pa.DOWNLOAD||e===pa.PIXELS)return un.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { e } ` )}function qk(e,t,n){return ` $ { e [ 0 ] } _$ { e [ 1 ] } _$ { t } _$ { n } ` }var rr=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=_n(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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` }},Ma="if (isnan(x)) return x;",G7="return x;",jk="return abs(x);",H7="return (x >= 0.0) ? x : (exp(x) - 1.0);",q7=Ma+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,j7=Ma+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,Kr="return x;",K7="return 1.0 / (1.0 + exp(-1.0 * x));",X7="return x;",Y7= `
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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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` ,Z7= `
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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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` ,J7= `
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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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` ,Q7="return 1.0 / (1.0 + exp(-1.0 * x));",Qr=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=_n(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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` }},eJ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=_n(this.outputShape.length);let t=e.length,n=kn("rc",t),a=gt(t),r=O7(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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` }},tJ=hr.whereImpl,nJ=1e-7,aJ=1e-4,gb={};function rJ(e){return e in gb||(gb[e]={}),gb[e]}var sJ=H().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),iJ=600;function oJ(){return H().global.screen==null?1024:H().global.screen.height*H().global.screen.width*window.devicePixelRatio*iJ/1024/1024}var Ef=class extends ac{constructor(e){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,!H().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof ph)t=e;else{let n=Ka(H().getNumber("WEBGL_VERSION"),e);t=new ph(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Ka(H().getNumber("WEBGL_VERSION"));t=new ph(n),this.binaryCache=rJ(H().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new W7(this.gpgpu),this.numMBBeforeWarning=oJ(),this.texData=new Hh(this,Ca())}nextDataId(){return Ef.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,n,a,r,s){let i=this.makeTensorInfo(t,n),o=this.texData.get(i.dataId);o.isPacked=!1,o.texture={texture:e,texShape:[a,r]},o.texShape=[a,r];let l=Fp(t),u=new Uk(l,!1,s),p=this.runWebGLProgram(u,[i],n,[[a,r]]);return p.shape=t,o.texture=null,this.disposeIntermediateTensorInfo(i),p.dataId}write(e,t,n){if((H().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||H().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let a={id:this.nextDataId()};return this.texData.set(a,{shape:t,dtype:n,values:e,usage:pa.UPLOAD,refCount:1}),a}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,n,a,r){if(H().getBool("DEBUG")&&this.checkNumericalProblems(t),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:a,values:t,usage:pa.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:a,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let d;o?d=new Qr(i,Kr):d=new rr(i,Kr);let c=this.runWebGLProgram(d,[{dataId:e,shape:i,dtype:a}],a),h=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return n;let l=this.activeTimers!=null,u;l&&(u=v.now());let p;if(a==="complex64"){let d=this.readSync(r.real.dataId),c=this.readSync(r.imag.dataId);p=N.mergeRealAndImagArrays(d,c)}else p=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=v.now()-u),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(m=>h.push(m))}let t=this.texData.get(e),{values:n,shape:a,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new Qr(a,Kr):h=new rr(a,Kr);let m=this.runWebGLProgram(h,[{dataId:e,shape:a,dtype:s}],s),f=this.read(m.dataId);return this.disposeIntermediateTensorInfo(m),f}if(n!=null)return this.convertAndCacheOnCPU(e);if(H().getBool("DEBUG")&&!H().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&H().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(s!=="complex64"&&H().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture.texture,...eh(a))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),m=h[0],f=h[1];p=N.mergeRealAndImagArrays(m,f)}else if(l==null)p=this.getValuesFromTextu
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,xl=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=_n(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 ) ) ;
}
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` }},ed= `
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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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` ,td=class{constructor(e,t,n,a=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=N.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=_n(r);let s="";if(a)if(r===0||v.sizeFromShape(this.outputShape)===1)s= `
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result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
` ;else if(s= `
$ { gt ( 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=kn("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 cJ={kernelName:Pi,backendName:"webgl",kernelFunc:ta};function Ns(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 dJ={kernelName:Qh,backendName:"webgl",kernelFunc:Ns},V_="return (a < 0.) ? b * a : a;",U_= `
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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 hJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a,i=n.makeTensorInfo([],"float32",v.createScalarValue(s,"float32")),o=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new td(U_,r.shape,i.shape):new xl(V_,r.shape,i.shape),l=n.runWebGLProgram(o,[r,i],"float32");return n.disposeIntermediateTensorInfo(i),l}var mJ={kernelName:Li,backendName:"webgl",kernelFunc:hJ},G_="return (a < 0.) ? b * a : a;",H_= `
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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 fJ(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new td(H_,a.shape,r.shape):new xl(G_,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],"float32")}var gJ={kernelName:Zi,backendName:"webgl",kernelFunc:fJ},Bu="if (isnan(x)) return x;";function Ye({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=H().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,p;return u?p=new Qr(i.shape,t):p=new rr(i.shape,e),o.runWebGLProgram(p,[i],l)}}function cn({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,y]=[[m.complexTensorInfos.real,f.complexTensorInfos.real],[m.complexTensorInfos.imag,f.complexTensorInfos.imag]].map(x=>{let[w,I]=x,T={dataId:w.dataId,dtype:w.dtype,shape:l.shape},C={dataId:I.dataId,dtype:I.dtype,shape:u.shape},E=new xl(e,l.shape,u.shape);return p.runWebGLProgram(E,[T,C],ma(w.dtype,I.dtype))}),b=Ns({inputs:{real:g,imag:y},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(y),b}let d=s||ma(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"?N.fromUint8ToStringArray(m):m,y=l.dtype==="string"?N.fromUint8ToStringArray(f):f,[b,x]=r(l.shape,u.shape,g,y,d),w=p.makeTensorInfo(x,d),I=p.texData.get(w.dataId);return I.values=b,w}let c=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return c?h=new td(t,l.shape,u.shape,n):h=new xl(e,l.shape,u.shape),p.runWebGLProgram(h,[l,u],d)}}function Qp(e,t=!1){if(e==="linear")return t?X7:G7;if(e==="relu")return t?Z7:q7;if(e==="elu")return t?Y7:H7;if(e==="relu6")return t?J7:j7;if(e==="prelu")return t?H_:G_;if(e==="leakyrelu")return t?U_:V_;if(e==="sigmoid")return t?Q7:K7;throw new Error( ` Activation $ { e } has not been implemented for the WebGL backend . ` )}var q_=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=_n(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 }
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} ` ,g="result = activation(result);");let y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let b="rc.x",x="rc.x";e[0]<t[0]?b= ` imod ( rc . x , $ { e [ 0 ] } ) ` :t[0]<e[0]&&(x= ` imod ( rc . x , $ { t [ 0 ] } ) ` ),this.userCode= `
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$ { f }
// Don't use uniform for sharedDimensionPacked for performance.
const float sharedDimension = $ { p } . 0 ;
vec4 dot2x2ARowBCol ( ivec3 rc ) {
vec4 result = vec4 ( 0 ) ;
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int batchA = $ { b } ;
int batchB = $ { x } ;
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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 ) ;
$ { y }
$ { g }
setOutput ( result ) ;
}
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` }},Kk={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},Xk=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.userCode= `
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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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` }},Yk="return a * b;";function t1(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=N.upcastType(a.dtype,r.dtype);if(a.dtype==="complex64"){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),u=new Xk(Kk.REAL,a.shape,r.shape),p=new Xk(Kk.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=Ns({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]=m7(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 H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new td(Yk,a.shape,r.shape):i=new xl(Yk,a.shape,r.shape),n.runWebGLProgram(i,[a,r],s)}var yJ={kernelName:ji,backendName:"webgl",kernelFunc:t1};function bJ(e,t,n){let a=[hi(e.shape),...mi(e.shape)],r={dtype:e.dtype,shape:a,dataId:e.dataId},s=[hi(t),...mi(t)],i=new W_(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 de(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=n,o=v.sizeFromShape(r.shape),l=v.inferFromImplicitShape(s,o),u=v.sizeFromShape(l);v.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&&!Jp(r.shape,l)&&!(p.texture!==null&&Jp(p.shape,l))?bJ(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var xJ={kernelName:iu,backendName:"webgl",kernelFunc:de},Zk=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 * $ { v . 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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` }},vJ=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 wJ(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=N.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:a,outSize:Math.ceil(n/a)})}return t}function No(e,t,n,a){let r=wJ(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 Zk({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:u},o):new Zk({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:u}):p=new vJ({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 kJ=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=gt(this.rank),r=IJ(t);this.userCode= `
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void main ( ) {
$ { a } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { r } ) ) ;
}
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` }};function IJ(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 SJ=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=gt(this.rank),r=z_("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 Af(e,t,n){let a=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new SJ(e.shape,t):new kJ(e.shape,t);return n.runWebGLProgram(a,[e],e.dtype)}function TJ(e,t,n,a){let r=t,s=e.shape.length,i=v.parseAxisParam(r,e.shape),o=i,l=N.getAxesPermutation(o,s),u=l!=null,p=e;u&&(p=Af(e,l,a),o=N.getInnerMostAxes(o.length,s)),N.assertAxesAreInnerMostDims("sum",o,s);let[d,c]=N.computeOutAndReduceShapes(p.shape,o),h=d;n&&(h=N.expandShapeToKeepDim(d,i));let m=v.sizeFromShape(c),f=v.sizeFromShape(e.shape)/m,g=de({inputs:{x:p},attrs:{shape:[f,m]},backend:a}),y=_m(e.dtype),b=No(g,y,"sum",a),x=de({inputs:{x:b},attrs:{shape:h},backend:a});return a.disposeIntermediateTensorInfo(g),a.disposeIntermediateTensorInfo(b),u&&a.disposeIntermediateTensorInfo(p),x}function $ f(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;return TJ(r,s,i,n)}var NJ={kernelName:po,backendName:"webgl",kernelFunc: $ f};function In(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=Q0(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=Af(r,s,i);return u}var CJ={kernelName:Cr,backendName:"webgl",kernelFunc:In},j_=1e3;function Wh({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),y=v.sizeFromShape(f),b=v.sizeFromShape(g),x=Iu.assertAndGetBroadcastShape(e.shape.slice(0,-2),t.shape.slice(0,-2)).concat([h,m]);v.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 w=n?[y,d,h]:[y,h,d],I=a?[b,m,c]:[b,c,m],T=de({inputs:{x:e},backend:r,attrs:{shape:w}}),C=de({inputs:{x:t},backend:r,attrs:{shape:I}}),E=[T,C], $ =Math.max(y,b),R=n?T.shape[1]:T.shape[2],F=s!=null,S=i!=null,M=l==="leakyrelu",B=l!=null?Qp(l,!0):null,U=F||S||M||B!=null,G;if((h===1||m===1)&&R>j_&&U===!1){let K=T,Z=C;n&&(K=In({inputs:{x:T},backend:r,attrs:{perm:[0,2,1]}}),E.push(K)),a&&(Z=In({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),E.push(Z));let J=m!==1,ee=m===1,ae=K;J&&(ae=de({inputs:{x:K},backend:r,attrs:{shape:[ $ ,R,1]}}),E.push(ae));let te=m===1?2:1,re=Z;ee&&(re=de({inputs:{x:Z},backend:r,attrs:{shape:[ $ ,1,R]}}),E.push(re));let se=t1({inputs:{a:ae,b:re},backend:r});G= $ f({inputs:{x:se},backend:r,attrs:{axis:te,keepDims:!0}}),E.push(se)}else{let K=ma(e.dtype,t.dtype),Z=new q_(w,I,[ $ ,h,m],n,a,F,B,S,M),J=[T,C];if(s!=null&&J.push(s),S&&J.push(i),M){let ee=r.makeTensorInfo([],"float32",v.createScalarValue(o,"float32"));J.push(ee),E.push(ee)}G=r.runWebGLProgram(Z,J,K)}let j=de({inputs:{x:G},backend:r,attrs:{shape:x}});E.push(G);for(let K of E)r.disposeIntermediateTensorInfo(K);return j}function _J(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 Wh({a:r,b:s,transposeA:l,transposeB:u,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:d,activation:p})}var EJ={kernelName:Qs,backendName:"webgl",kernelFunc:_J},Jk="return abs(x);";function AJ(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=O_(s.values);return n.makeTensorInfo(a.shape,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Qr(a.shape,Jk):r=new rr(a.shape,Jk),n.runWebGLProgram(r,[a],a.dtype)}var $ J={kernelName:wl,backendName:"webgl",kernelFunc:AJ},FJ=Ma+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return acos ( x ) ;
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` ,RJ=Ye({opSnippet:FJ}),DJ={kernelName:kl,backendName:"webgl",kernelFunc:RJ},MJ=Ma+ `
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if ( x < 1.0 ) return NAN ;
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return log ( x + sqrt ( x * x - 1.0 ) ) ; ` ,PJ=Ye({opSnippet:MJ}),OJ={kernelName:Il,backendName:"webgl",kernelFunc:PJ},Qk="return a + b;",LJ=cn({opSnippet:Qk,packedOpSnippet:Qk,supportsComplex:!0,cpuKernelImpl:KZ}),zJ={kernelName:fs,backendName:"webgl",kernelFunc:LJ},WJ=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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` }},BJ=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 ch(e){let{inputs:t,backend:n}=e,a=t;if(a.length===1)return ta({inputs:{x:a[0]},backend:n});if(a.length>H().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(a.length/2),l=ch({inputs:a.slice(0,o),backend:n}),u=ch({inputs:a.slice(o),backend:n});return ch({inputs:[l,u],backend:n})}let r=a.map(o=>o.dtype).reduce((o,l)=>ma(o,l)),s=a.map(o=>o.shape),i=H().getBool("WEBGL_PACK")?new BJ(a[0].shape,s):new WJ(a[0].shape,s);return n.runWebGLProgram(i,a,r)}var VJ={kernelName:yi,backendName:"webgl",kernelFunc:ch};function UJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("all",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=No(f,f.dtype,"all",n),y;if(i){let b=N.expandShapeToKeepDim(c,l);y=de({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),y}var GJ={kernelName:Sl,backendName:"webgl",kernelFunc:UJ};function HJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("any",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=No(f,f.dtype,"any",n),y;if(i){let b=N.expandShapeToKeepDim(c,l);y=de({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),y}var qJ={kernelName:Tl,backendName:"webgl",kernelFunc:HJ},jJ=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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` }},KJ=class{constructor(e,t,n,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,v.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=gt(o),u=kn("coords",o),p,d;if(s===1){d=o+1;let C=gt(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=kn("sourceLocR",d-1).concat("inIdx.r"),g=kn("sourceLocG",d-1).concat("inIdx.g"),y=kn("sourceLocB",d-1).concat("inIdx.b"),b=kn("sourceLocA",d-1).concat("inIdx.a"),x=n==="max"?"greaterThan":"lessThan",w=a?"": `
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inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { f . join ( ) } ) ,
getBestIndicesAChannel ( $ { g . join ( ) } ) ,
getBestIndicesAChannel ( $ { y . join ( ) } ) ,
getBestIndicesAChannel ( $ { b . join ( ) } ) ) ) ; ` ,I= ` vec4 (
getAChannel ( $ { f . join ( ) } ) ,
hasNextCol ? getAChannel ( $ { g . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { y . join ( ) } ) : 0. ,
hasNextRow && hasNextCol ? getAChannel ( $ { b . join ( ) } ) : 0. ) ` ,T=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 ( ) } ) ) ;
}
$ { T }
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 ;
$ { w }
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 K_(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=N.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new jJ(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=K_(e,t,n,p);return e.disposeIntermediateTensorInfo(p),d}function X_(e,t,n,a=null){let r=a!=null?a.shape:t.shape,s=r[r.length-1],i=N.computeOptimalWindowSize(s),o=new KJ(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=X_(e,t,n,u);return e.disposeIntermediateTensorInfo(u),p}return u}function Y_(e,t,n,a){let r=[n];if(N.assertAxesAreInnerMostDims("arg"+a.charAt(0).toUpperCase()+a.slice(1),r,t.shape.length),!H().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]=N.computeOutAndReduceShapes(l.shape,r),d=v.sizeFromShape(p),c=de({inputs:{x:l},backend:e,attrs:{shape:[-1,d]}});s.push(c);let h=K_(e,c,a);s.push(h);let m=de({inputs:{x:h},backend:e,attrs:{shape:u}});return s.forEach(f=>e.disposeIntermediateTensorInfo(f)),m}return X_(e,t,a)}function XJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=In({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=Y_(n,l,i[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var YJ={kernelName:bi,backendName:"webgl",kernelFunc:XJ};function ZJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=In({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=Y_(n,l,i[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var JJ={kernelName:rc,backendName:"webgl",kernelFunc:ZJ},QJ=Ma+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return asin ( x ) ;
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` ,e9=Ye({opSnippet:QJ}),t9={kernelName:Nl,backendName:"webgl",kernelFunc:e9},n9=Ma+"return log(x + sqrt(x * x + 1.0));",a9=Ye({opSnippet:n9}),r9={kernelName:Cl,backendName:"webgl",kernelFunc:a9},s9=Ma+ `
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return atan ( x ) ;
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` ,i9=Ye({opSnippet:s9}),o9={kernelName:_l,backendName:"webgl",kernelFunc:i9},l9=e1+ `
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return atan ( a , b ) ;
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` ,u9= `
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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 ) ;
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` +ed+ `
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return result ;
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` ,p9=cn({opSnippet:l9,packedOpSnippet:u9}),c9={kernelName:Al,backendName:"webgl",kernelFunc:p9},d9=Ma+ `
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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 ; ` ,h9=Ye({opSnippet:d9}),m9={kernelName:El,backendName:"webgl",kernelFunc:h9},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 ` ,y="0.0";if(m||(y="-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 b="max",x= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(x="avgValue / max(count, 1.0)");let w=Math.floor(s/4)*4,I=s%4,T= `
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if ( $ { m } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { b } ( values , minMaxValue ) ;
}
` ;this.userCode= `
const ivec2 strides = ivec2 ( $ { i } , $ { o } ) ;
const ivec2 pads = ivec2 ( $ { c } , $ { h } ) ;
const float initializationValue = $ { y } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float count = 0.0 ;
float getValue ( int batch , int 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 ( $ { y } ) ;
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 < $ { w } ; 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 )
) ;
$ { T }
}
int xC = xCCorner + $ { w } ;
if ( $ { I === 1 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { T }
} else if ( $ { I === 2 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { u } , d ) ,
initializationValue ,
initializationValue
) ;
$ { T }
} 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
) ;
$ { T }
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}
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}
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setOutput ( $ { x } ) ;
}
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` }},n1=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,y=e.padInfo.left;this.outputShape=e.outShape;let b=t==="avg",x="0.0";if(b||(x="-1.0 / 1e-20"),n){let $ =">=";this.userCode= `
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const ivec3 strides =
ivec3 ( $ { i } , $ { o } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { f } , $ { g } , $ { y } ) ;
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 ) ;
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if ( value $ { $ } currMinMaxValue ) {
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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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setOutput ( float ( minMaxPosition ) ) ;
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}
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` ;return}let w="max",I= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(I="avgValue / max(count, 1.0)");let T=Math.floor(s/4)*4,C=s%4,E= `
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if ( $ { b } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { w } ( values , minMaxValue ) ;
}
` ;this.userCode= `
const ivec3 strides =
ivec3 ( $ { i } , $ { o } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { f } , $ { g } , $ { y } ) ;
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 < $ { T } ; 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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$ { E }
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}
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int xC = xCCorner + $ { T } ;
if ( $ { C === 1 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { E }
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} else if ( $ { C === 2 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { d } , ch ) ,
initializationValue ,
initializationValue
) ;
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$ { E }
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} 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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$ { E }
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}
}
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}
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setOutput ( $ { I } ) ;
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}
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` }};function f9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;Pu(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${u}' ` );let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.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 g9={kernelName:xi,backendName:"webgl",kernelFunc:f9};function y9(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=N.computePool3DInfo(r.shape,s,i,p,o,l,u),c=new n1(d,"avg",!1);return n.runWebGLProgram(c,[r],"float32")}var b9={kernelName:sc,backendName:"webgl",kernelFunc:y9},x9=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= `
2022-10-18 13:23:49 +02:00
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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` }},v9=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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setOutput ( dotProd ) ;
}
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` }};function w9(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=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new v9(c);return n.runWebGLProgram(h,[r],i.dtype)}var k9={kernelName:Yh,backendName:"webgl",kernelFunc:w9};function I9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;Pu([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=new x9(p);return n.runWebGLProgram(d,[r],i.dtype)}var S9={kernelName:Xh,backendName:"webgl",kernelFunc:I9};function T9(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;return Wh({a:r,b:s,transposeA:i,transposeB:o,backend:n})}var N9={kernelName:vi,backendName:"webgl",kernelFunc:T9},C9=class{constructor(e,t,n,a,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="0.0";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(N.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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` }},_9=class{constructor(e,t,n,a,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
2022-10-18 13:23:49 +02:00
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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` }},E9=({inputs:e,backend:t,attrs:n})=>{let{x:a,mean:r,variance:s,offset:i,scale:o}=e;v.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.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=H().getBool("WEBGL_PACK_NORMALIZATION")?new _9(a.shape,r.shape,s.shape,p,d,l):new C9(a.shape,r.shape,s.shape,p,d,l);return t.runWebGLProgram(c,u,u[0].dtype)},A9={kernelName:Di,backendName:"webgl",kernelFunc:E9}, $ 9=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=gt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=F9(this.rank),a,r=e.map((s,i)=> ` sourceLoc . $ { lx [ i ] } = start [ $ { i } ] + coords . $ { lx [ i ] } ; ` );a= `
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$ { t } sourceLoc ;
$ { t } coords = getOutputCoords ( ) ;
$ { r . join ( `
` )}
` ,this.userCode= `
void main ( ) {
$ { a }
setOutput ( getSource ( $ { n } ) ) ;
}
2023-01-06 19:24:17 +01:00
` }},lx=["x","y","z","w","u","v"];function F9(e){if(e===1)return"sourceLoc";if(e<=6)return lx.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error( ` Slicing for rank $ { e } is not yet supported ` )}var R9=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=gt(this.rank),n=kn("coords",this.rank),a=kn("sourceLoc",this.rank),r=this.rank===1?"sourceLoc": ` vec2 ( $ { a . slice ( - 2 ) . join ( ) } ) ` ,s= ` getChannel ( getSource ( $ { a . join ( ) } ) , $ { r } ) ` ,i= `
2022-10-18 13:23:49 +02:00
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 D9(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,v.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 Vu(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),v.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let d=n.texData.get(r.dataId),c=T7(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=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new R9(l):new $ 9(l),c=[o];return n.runWebGLProgram(d,[r],r.dtype,c)}return n.uploadToGPU(r.dataId),D9(r,o,l,n)}var M9={kernelName:pu,backendName:"webgl",kernelFunc:Vu},P9=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((b,x)=>b*x),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=[],m=de({inputs:{x:r},backend:n,attrs:{shape:l}}),f=In({inputs:{x:m},backend:n,attrs:{perm:u}}),g=de({inputs:{x:f},backend:n,attrs:{shape:p}}),y=Vu({inputs:{x:g},backend:n,attrs:{begin:d,size:c}});return h.push(m),h.push(f),h.push(g),h.forEach(b=>n.disposeIntermediateTensorInfo(b)),y},O9={kernelName: $ l,backendName:"webgl",kernelFunc:P9};function L9(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=P_(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var z9={kernelName:Zh,backendName:"webgl",kernelFunc:L9};function W9(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.readSync(a.dataId),i=n.readSync(r.dataId),o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var B9={kernelName:Jh,backendName:"webgl",kernelFunc:W9},V9="return float(a != b);",Z_=cn({opSnippet:V9,cpuKernelImpl:g7,dtype:"bool"}),U9={kernelName:eu,backendName:"webgl",kernelFunc:Z_};function nd(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 G9={kernelName:wm,backendName:"webgl",kernelFunc:nd},H9="return float(int(x));";function q9(e,t){let n=new rr(e.shape,H9),a=t.runWebGLProgram(n,[e],"int32");return{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}function ux(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=ux({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=Ns({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=nd({inputs:{input:r},backend:n}),o=ux({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!v.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]=YZ(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}if(s==="int32")return q9(r,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=Z_({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 j9={kernelName:wi,backendName:"webgl",kernelFunc:ux},eI="return ceil(x);",K9=Ye({opSnippet:eI,packedOpSnippet:eI,cpuKernelImpl:ZZ}),X9={kernelName:ki,backendName:"webgl",kernelFunc:K9},Y9=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"max
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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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` }},Z9=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 J9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o;H().getBool("WEBGL_PACK_CLIP")?o=new Z9(r.shape):o=new Y9(r.shape);let l=[[s],[i]];return n.runWebGLProgram(o,[r],r.dtype,l)}var Q9={kernelName:gs,backendName:"webgl",kernelFunc:J9},eQ=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 tI(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function tQ(e){let{inputs:t,backend:n}=e,{x:a}=t,r=n.texData.get(a.dataId),s=new eQ(a.shape),i=[tI(a,r.complexTensorInfos.real),tI(a,r.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}var nQ={kernelName:ic,backendName:"webgl",kernelFunc:tQ},aQ=class{constructor(e){this.outputShape=[],this.outputShape=N.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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` }},rQ=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=N.computeOutShape(e,t);let n=this.outputShape,a=n.length,r=gt(a),s=kn("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 (
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getT$ { m } ( $ { nh ( i , l , f ) } ) ,
vec2 ( $ { nh ( u , l , f ) } ) ) ;
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} ` }let c=o.length,h=o[o.length-1];d+= `
return getChannel (
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getT$ { c } ( $ { nh ( i , l , h ) } ) ,
vec2 ( $ { nh ( u , l , h ) } ) ) ; ` ,this.userCode= `
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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 } ) ;
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}
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setOutput ( result ) ;
}
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` }};function nh(e,t,n){let a=e.indexOf(t);return e.map((r,s)=>s===a? ` $ { r } - $ { n } ` :r).join()}function Ff(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 sQ={kernelName:cm,backendName:"webgl",kernelFunc:Ff};function Rp(e,t,n){let a=e[0].dtype;if(a==="complex64"){let h=e.map(b=>nd({inputs:{input:b},backend:n})),m=e.map(b=>Ff({inputs:{input:b},backend:n})),f=Rp(h,t,n),g=Rp(m,t,n),y=Ns({inputs:{real:f,imag:g},backend:n});return h.forEach(b=>n.disposeIntermediateTensorInfo(b)),m.forEach(b=>n.disposeIntermediateTensorInfo(b)),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),y}let r=n.shouldExecuteOnCPU(e);if(a==="string"&&(r=!0),r){let h=e.map(w=>{let I=[-1,v.sizeFromShape(w.shape.slice(t))];return de({inputs:{x:w},backend:n,attrs:{shape:I}})}),m=h.map(w=>({vals:n.readSync(w.dataId),shape:w.shape})),f=N.computeOutShape(h.map(w=>w.shape),1),g=h[0].shape[0]===1,y=JZ(m,f,a,g),b=N.computeOutShape(e.map(w=>w.shape),t),x=n.makeTensorInfo(b,a,y);return h.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}let s=e.filter(h=>v.sizeFromShape(h.shape)>0),i=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&s[0].shape.length>1;if(s.length===1){let h=i?new rr(e[0].shape,Kr):new Qr(e[0].shape,Kr);return n.runWebGLProgram(h,e,a)}let o=H().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(Rp(g,t,n))}let m=Rp(h,t,n);for(let f of h)n.disposeIntermediateTensorInfo(f);return m}if(i){let h=new rQ(s.map(m=>m.shape),t);return n.runWebGLProgram(h,s,a)}let{tensors2D:l,outShape:u}=iQ(s,t,n),p=new aQ(l.map(h=>h.shape)),d=n.runWebGLProgram(p,l,a);l.forEach(h=>n.disposeIntermediateTensorInfo(h));let c=de({inputs:{x:d},attrs:{shape:u},backend:n});return n.disposeIntermediateTensorInfo(d),c}function iQ(e,t,n){let a=N.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>de({inputs:{x:r},attrs:{shape:[-1,v.sizeFromShape(r.shape.slice(t))]},backend:n})),outShape:a}}function J_(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?ta({inputs:{x:l[0]},backend:n}):Rp(l,s,n)}var oQ={kernelName:Fl,backendName:"webgl",kernelFunc:J_},Q_=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,y=f?2:3,b=f?3:1,x="",w="";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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` ,w="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 [ $ { b } ] ;
ivec2 xRCCorner =
ivec2 ( coords [ $ { g } ] , coords [ $ { y } ] ) * 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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}
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float result = dotProd ;
$ { I }
$ { w }
setOutput ( result ) ;
}
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` }},lQ=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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` }},eE=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=_n(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 y=s%2===0?v.nearestLargerEven(o):o;o%2===0&&s%2===1||o%2!==0&&s%2!==1?(d+= `
xCOffset = xC + imod ( pads [ 1 ] , 2 ) + $ { y } ;
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 ) ;
` ):y===1?d+= `
xC$ { g + 1 } = xTexelC$ { g } ;
` :d+= `
xCOffset = xC + $ { y } ;
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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` }},uQ=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=_n(this.outputShape.length);let{dataFormat:n}=t,a=Cn(),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 ;
2022-10-18 13:10:36 +02:00
}
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` }};function Bh(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 tE({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,y=[];if(s!=null){let b=Bh(s.shape,h);b!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:b}}),y.push(s))}if(r!=null){let b=Bh(r.shape,h);b!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:b}}),y.push(r))}if(!((d===1||c===1)&&p>j_)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!==0&&v.arraysEqual(u.shape.slice(-3),l.slice(-3))){let b=l[0]*l[1]*(l[2]+1),x={dataId:e.dataId,shape:[1,b,n.inChannels],dtype:e.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,v.assert(Jp(u.shape,x.shape),()=> ` packed reshape $ { u . shape } to $ { x . shape } isn ' t free ` );let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});y.push(I);let T=Wh({a:x,b:I,backend:a,transposeA:m,transposeB:f,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),C=a.texData.get(T.dataId);v.assert(C.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=w,C.shape=n.outShape,g=ta({inputs:{x:T},backend:a}),g.shape=n.outShape,y.push(T)}else{let b=n.outHeight*n.outWidth,x=de({inputs:{x:e},backend:a,attrs:{shape:h?[n.batchSize,b,n.inChannels]:[n.batchSize,n.inChannels,b]}}),w=de({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),I=Wh({a:h?x:w,b:h?w:x,transposeA:!h,transposeB:f,backend:a,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=de({inputs:{x:I},backend:a,attrs:{shape:n.outShape}}),y.push(x),y.push(w),y.push(I)}for(let b of y)a.disposeIntermediateTensorInfo(b);return g}function nE({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,y=[n.batchSize,f,g],b=!0,x=!1,w=[];if(s!=null){let K=Bh(s.shape,m);K!=null&&(s=de({inputs:{x:s},backend:a,attrs:{shape:K}}),w.push(s))}if(r!=null){let K=Bh(r.shape,m);K!=null&&(r=de({inputs:{x:r},backend:a,attrs:{shape:K}}),w.push(r))}let I=de({inputs:{x:t},backend:a,attrs:{shape:[1,f,v.sizeFromShape(t.shape)/f]}});w.push(I);let T=new uQ(y,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]],E=a.runWebGLProgram(T,[e],"float32",C), $ =de({inputs:{x:E},backend:a,attrs:{shape:y}});w.push(E),w.push( $ );let R=r!=null,F=s!=null,S=o==="leakyrelu",M=o?Qp(o,!0):null,B=new q_(m? $ .shape:I.shape,m?I.shape: $ .shape,m?[n.batchSize,g,n.outChannels]:[n.batchSize,n.outChannels,g],b,x,R,M,F,S),U=m?[ $ ,I]:[I, $ ];if(r&&U.push(r),F&&U.push(s),S){let K=a.makeTensorInfo([],"float32",v.createScalarValue(i,"float32"));U.push(K),w.push(K)}let G=a.runWebGLProgram(B,U,"float32"),j=de({inputs:{x:G},backend:a,attrs:{shape:n.outShape}});w.push(G);for(let K of w)a.disposeIntermediateTensorInfo(K);return j}function pQ(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=N.convertConv2DDataFormat(l),c=N.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=tE({x:r,filter:s,convInfo:c,backend:n});else if(c.strideWidth<=2&&d==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let f=new eE(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(H().getBool("WEBGL_CONV_IM2COL"))h=nE({x:r,filter:s,convInfo:c,backend:n});else{let f=new Q_(c);h=n.runWebGLProgram(f,[r,s],"float32")}let m=de({inputs:{x:h},backend:n,attrs:{shape:c.outShape
2022-10-18 13:23:49 +02:00
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 ;
}
if ( $ { s } ) {
float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
} else {
float dyValue = getDy ( b , d2 , yR , yC ) ;
float xValue = getX ( b , d1 , xR , xC ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
}
setOutput ( dotProd ) ;
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}
2022-12-01 20:56:40 +01:00
` }},hQ=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= `
2022-10-18 13:23:49 +02:00
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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}
2022-12-01 20:56:40 +01:00
` }},mQ=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= `
2022-10-18 13:23:49 +02:00
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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` }},fQ=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 ;
}
}
}
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}
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setOutput ( dotProd ) ;
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}
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` }};function gQ(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=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,p,i,1,o,u,!1,d),h=new dQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var yQ={kernelName:em,backendName:"webgl",kernelFunc:gQ};function bQ(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=N.convertConv2DDataFormat(u),c=N.computeConv2DInfo(i,s.shape,o,1,l,p,!1,d),h=new hQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var xQ={kernelName:Si,backendName:"webgl",kernelFunc:bQ};function vQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeConv3DInfo(r.shape,s.shape,i,l,o),p=new lQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var wQ={kernelName:oc,backendName:"webgl",kernelFunc:vQ};function kQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=a,u=N.computeConv3DInfo(r.shape,l,i,1,o),p=new mQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var IQ={kernelName:tm,backendName:"webgl",kernelFunc:kQ};function SQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=a,u=N.computeConv3DInfo(l,s.shape,o,1,i),p=new fQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var TQ={kernelName:nm,backendName:"webgl",kernelFunc:SQ},NQ=Bu+ `
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return cos ( x ) ;
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` ,CQ=Ye({opSnippet:NQ}),_Q={kernelName:Ti,backendName:"webgl",kernelFunc:CQ},EQ= `
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float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
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` ,AQ=Ye({opSnippet:EQ}), $ Q={kernelName:Ni,backendName:"webgl",kernelFunc:AQ},FQ=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,y]=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 } ` ],[b,x,w]=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 ( $ { b } ) ;
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 = $ { y } ;
if ( in _y < 0.0 || in _y > $ { h } ) {
setOutput ( float ( $ { r } ) ) ;
return ;
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}
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float in _x = $ { w } ;
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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` }},RQ=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 FQ(r.shape,s.shape,o,l,u);return n.runWebGLProgram(p,[r,s,i],"float32")},DQ={kernelName:Dl,backendName:"webgl",kernelFunc:RQ},tc;(function(e){e.Prod="*",e.Sum="+"})(tc||(tc={}));var nI=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===tc.Prod?"1.0":"0.0",i=n?s: ` getX ( $ { aI ( 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 ( ) {
$ { gt ( r ) } coords = getOutputCoords ( ) ;
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int end = $ { rI ( r , "coords" , this . op ) } ;
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float val = $ { i } ;
int pow2 = int ( pow ( 2.0 , index ) ) ;
if ( $ { l } ) {
int idx = $ { u } ;
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$ { rI ( r , "coords" , this . op ) } = idx ;
val $ { this . op } = getX ( $ { aI ( r , "coords" , this . op ) } ) ;
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}
setOutput ( val ) ;
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}
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` }};function aI(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 rI(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 aE(e,t,n,a,r,s){let i=t.shape.length,o=N.getAxesPermutation([a],i),l=t;o!=null&&(l=In({inputs:{x:t},backend:n,attrs:{perm:o}}));let u=N.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 nI(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 nI(e,l.shape,r,s),h=d;d=n.runWebGLProgram(c,[d],d.dtype),n.disposeIntermediateTensorInfo(h)}if(o!=null){let c=N.getUndoAxesPermutation(o),h=In({inputs:{x:d},backend:n,attrs:{perm:c}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(l),h}return d}function MQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return aE(tc.Prod,r,n,s,i,o)}var PQ={kernelName:Rl,backendName:"webgl",kernelFunc:MQ};function OQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return aE(tc.Sum,r,n,s,i,o)}var LQ={kernelName:Ci,backendName:"webgl",kernelFunc:OQ};function zQ(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=P_(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=XZ(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 WQ={kernelName:am,backendName:"webgl",kernelFunc:zQ},BQ=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 VQ(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 BQ(m,s,i);return n.runWebGLProgram(f,[r],r.dtype)}var UQ={kernelName:Ml,backendName:"webgl",kernelFunc:VQ},rE=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=_n(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 }
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}
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` ,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 ;
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}
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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 ;
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}
}
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float result = dotProd ;
$ { p }
$ { u }
setOutput ( result ) ;
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}
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` }},sE=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=_n(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 y=g*2;if(c+= `
xC = xCCorner + $ { y * l } ;
` ,o===1){if(y<p&&(i%2===1?(c+= `
xCOffset = xC + 1 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y } Ready == 0 ) {
xTexelC$ { y } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { y } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y } Ready = 1 ;
}
` ,l===1&&y>0?c+= `
xC$ { y } = vec4 ( xTexelC$ { y - 2 } . zw , xTexelC$ { y } . 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$ { y } = vec4 ( previous . zw , xTexelC$ { y } . xy ) ;
} else {
xC$ { y } = vec4 ( 0.0 , 0.0 , xTexelC$ { y } . xy ) ;
}
` ):c+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { y } Ready == 0 ) {
xTexelC$ { y } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { y } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y } Ready = 1 ;
}
xC$ { y } = xTexelC$ { y } ;
` ,y+1<p)){let b=i%2===0?v.nearestLargerEven(l):l;l%2===0&&i%2===1||l%2!==0&&i%2!==1?(c+= `
xCOffset = xC + imod ( pads [ 1 ] , 2 ) + $ { b } ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y + 1 } Ready == 0 ) {
xTexelC$ { y + 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$ { y + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y + 1 } Ready = 1 ;
}
` ,l>1?c+= `
xCOffset -= 2 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
previous = getX ( batch , xR , xCOffset , d1 ) ;
xC$ { y + 1 } = vec4 ( previous . zw , xTexelC$ { y + 1 } . xy ) ;
} else {
xC$ { y + 1 } = vec4 ( 0.0 , 0.0 , xTexelC$ { y + 1 } . xy ) ;
}
` :c+= `
xC$ { y + 1 } = vec4 ( xTexelC$ { y } . zw , xTexelC$ { y + 1 } . xy ) ;
` ):b===1?c+= `
xC$ { y + 1 } = xTexelC$ { y } ;
` :c+= `
xCOffset = xC + $ { b } ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y + 1 } Ready == 0 ) {
xTexelC$ { y + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { y + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y + 1 } Ready = 1 ;
}
xC$ { y + 1 } = xTexelC$ { y + 1 } ;
` }}else y<p&&(i%2===1?(c+= `
xCOffset = xC + 1 - strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y } Ready == 0 ) {
xTexelC$ { y } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { y } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y } Ready = 1 ;
}
if ( xC + 1 >= 0 && xC + 1 < inDims [ 1 ] && xTexelC$ { y + 1 } Ready == 0 ) {
xTexelC$ { y + 1 } = getX ( batch , xR , xC + 1 , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xC + 2 >= inDims [ 1 ] ) {
xTexelC$ { y + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y + 1 } Ready = 1 ;
}
xC$ { y } = vec4 ( xTexelC$ { y } . zw , xTexelC$ { y + 1 } . zw ) ;
` ,y+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$ { y + 1 } = vec4 ( xTexelC$ { y + 1 } . xy , final . xy ) ;
` )):(c+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { y } Ready == 0 ) {
xTexelC$ { y } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { y } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { y } Ready = 1 ;
}
xCOffset = xC + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { y + 1 } Ready == 0 ) {
xTexelC$ { y + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { y + 1 } . zw = vec2 ( 0. ) ;
}
xTexelC$ { y + 1 } Ready = 1 ;
}
xC$ { y } = vec4 (
xTexelC$ { y } . xy , xTexelC$ { y + 1 } . xy ) ;
` ,y+1<p&&(c+= `
xC$ { y + 1 } = vec4 ( xTexelC$ { y } . zw , xTexelC$ { y + 1 } . zw ) ;
` )));y<p&&(c+= `
wTexel = getW ( r , $ { y } , d1 , q ) ;
dotProd += xC$ { y } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ,y+1<p&&(c+= `
wTexel = getW ( r , $ { y + 1 } , d1 , q ) ;
dotProd += xC$ { y + 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 GQ(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]),v.assert(N.eitherStridesOrDilationsAreOne(i,p),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { i } and dilations '${p}' ` );let d=N.computeConv2DInfo(r.shape,s.shape,i,p,o,u,!0),c;H().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels===1?c=new sE(d):c=new rE(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 HQ={kernelName:_i,backendName:"webgl",kernelFunc:GQ},qQ=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 ) ;
}
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}
}
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setOutput ( dotProd ) ;
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}
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` }},jQ=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 ;
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}
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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 ;
}
}
}
setOutput ( dotProd ) ;
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}
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` }};function KQ(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=N.computeConv2DInfo(r.shape,p,i,o,l,u,!0),c=new qQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var XQ={kernelName:rm,backendName:"webgl",kernelFunc:KQ};function YQ(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=N.computeConv2DInfo(p,s.shape,i,o,l,u,!0),c=new jQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var ZQ={kernelName:sm,backendName:"webgl",kernelFunc:YQ},JQ=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 QQ(e){let{inputs:t,backend:n}=e,{x:a}=t,r=[...a.shape,...a.shape],s=v.sizeFromShape(a.shape),i=de({inputs:{x:a},backend:n,attrs:{shape:[s]}}),o=new JQ(s),l=n.runWebGLProgram(o,[i],i.dtype),u=de({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var eee={kernelName:im,backendName:"webgl",kernelFunc:QQ},tee=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 ;
}
}
}
}
}
float result = curVal ;
setOutput ( result ) ;
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}
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` }};function nee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p,d=new tee(u);p=n.runWebGLProgram(d,[r,s],"float32");let c=de({inputs:{x:p},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(p),c}var aee={kernelName:lc,backendName:"webgl",kernelFunc:nee};function ree(e){let{inputs:t,backend:n,attrs:a}=e,{equation:r}=a,s=t,{allDims:i,summedDims:o,idDims:l}=N.decodeEinsumEquation(r,s.length);N.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=N.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:y,expandDims:b}=N.getEinsumPermutation(h,l[g]),x;N.isIdentityPermutation(y)?x=s[g]:(x=In({inputs:{x:s[g]},backend:n,attrs:{perm:y}}),m.push(x));let w=x.shape.slice();for(let I=0;I<b.length;++I)w.splice(b[I],0,1);v.arraysEqual(x.shape,w)||(x=de({inputs:{x},backend:n,attrs:{shape:w}}),m.push(x)),c===null?c=x:(c=t1({inputs:{a:x,b:c},backend:n}),m.push(c))}f<d-1&&(u[f]>=0&&(c= $ f({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 see={kernelName:om,backendName:"webgl",kernelFunc:ree},iee="return (x >= 0.0) ? x : (exp(x) - 1.0);",oee= `
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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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` ,lee=Ye({opSnippet:iee,packedOpSnippet:oee}),uee={kernelName:Ai,backendName:"webgl",kernelFunc:lee},pee="return (b >= 1.0) ? a : a * (b + 1.0);",cee= `
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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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` ,dee=e=>{let{inputs:t,backend:n}=e,{dy:a,y:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new td(cee,a.shape,r.shape):new xl(pee,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)},hee={kernelName:lm,backendName:"webgl",kernelFunc:dee},mee= `
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return vec4 ( equal ( a , b ) ) ;
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` ,fee="return float(a == b);",gee=cn({opSnippet:fee,packedOpSnippet:mee,dtype:"bool",cpuKernelImpl:QZ}),yee={kernelName:Ol,backendName:"webgl",kernelFunc:gee},bee= `
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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 = $ { N . ERF _P } ;
float a1 = $ { N . ERF _A1 } ;
float a2 = $ { N . ERF _A2 } ;
float a3 = $ { N . ERF _A3 } ;
float a4 = $ { N . ERF _A4 } ;
float a5 = $ { N . 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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` ,xee=Ye({opSnippet:bee}),vee={kernelName:Pl,backendName:"webgl",kernelFunc:xee},wee=Bu+ `
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return exp ( x ) ;
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` ,kee= `
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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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` ,iE=Ye({opSnippet:wee,packedOpSnippet:kee,cpuKernelImpl:e7,dtype:"float32"}),Iee={kernelName: $ i,backendName:"webgl",kernelFunc:iE};function px(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&&(v.assert(-(i+1)<=r,()=> ` Axis must be in the interval [ $ { - ( i + 1 ) } , $ { i } ] ` ),l=i+r+1),o.splice(l,0,1),de({inputs:{x:s},backend:a,attrs:{shape:o}})}var See={kernelName:Ll,backendName:"webgl",kernelFunc:px},sI="return exp(x) - 1.0;",Tee=Ye({opSnippet:sI,packedOpSnippet:sI,cpuKernelImpl:t7}),Nee={kernelName:zl,backendName:"webgl",kernelFunc:Tee},iI=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 }
}
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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}
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` }};function oE(e,t,n){let a=n.texData.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=de({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,u=new iI("real",l,t),p=new iI("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=Ns({inputs:{real:c,imag:h},backend:n});n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h);let f=de({inputs:{x:m},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(m),f}function Cee(e){let{inputs:t,backend:n}=e,{input:a}=t;return oE(a,!1,n)}var _ee={kernelName:um,backendName:"webgl",kernelFunc:Cee},Eee=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 ad(e){let{backend:t,attrs:n}=e,{shape:a,value:r}=n,{dtype:s}=n;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(a));return i.fill(r),t.makeTensorInfo(a,s,i)}else{let i=new Eee(a,r),o=[[r]];return t.runWebGLProgram(i,[],s,o)}}var Aee={kernelName:uc,backendName:"webgl",kernelFunc:ad}, $ ee=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 ] ;
2020-10-12 20:28:19 +02:00
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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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` }},Fee={kernelName:Wl,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,a=t,r=new $ ee(n.shape);return a.runWebGLProgram(r,[n],n.dtype)}},oI="return floor(x);",Ree=Ye({opSnippet:oI,packedOpSnippet:oI,cpuKernelImpl:n7}),Dee={kernelName:Fi,backendName:"webgl",kernelFunc:Ree},Mee= `
2022-10-18 13:23:49 +02:00
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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` ,Pee= `
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ivec4 ia = round ( a ) ;
ivec4 ib = round ( b ) ;
bvec4 cond = notEqual ( ib , ivec4 ( 0 ) ) ;
ivec4 result = ivec4 ( 0 ) ;
vec4 s = sign ( a ) * sign ( b ) ;
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// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if ( cond [ 0 ] ) {
result [ 0 ] = idiv ( ia [ 0 ] , ib [ 0 ] , s [ 0 ] ) ;
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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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` ,Oee=cn({opSnippet:Mee,packedOpSnippet:Pee,dtype:"int32"}),Lee={kernelName:Ri,backendName:"webgl",kernelFunc:Oee},zee=class{constructor(e){this.variableNames=["A"];let t=Cn(),[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 ) ;
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vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
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setOutput ( floor ( value * 255.0 + 0.5 ) ) ;
}
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` }},Wee=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Cn(),[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 ] ;
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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 ;
}
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result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
}
}
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$ { t . output } = result ;
}
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` }},Bee={kernelName:yh,backendName:"webgl",kernelFunc:Vee},Ko,yb=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function Vee(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=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Ko==null||f!==yb)&&(yb=f,Ko=document.createElement("canvas").getContext("2d",{willReadFrequently:yb})),Ko.canvas.width=l,Ko.canvas.height=u,Ko.drawImage(r,0,0,l,u),r=Ko.canvas}let c=n.makeTensorInfo(p,"int32");n.texData.get(c.dataId).usage=pa.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(c.dataId),r);let h=H().getBool("WEBGL_PACK")?new Wee(d):new zee(d),m=n.runWebGLProgram(h,[c],"int32");return n.disposeData(c.dataId),m}function Uee(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=N.convertConv2DDataFormat(p),g=N.computeConv2DInfo(r.shape,s.shape,l,d,u,c,!1,f),y,b=[],x=i!=null,w=o!=null,I=h==="leakyrelu",T=()=>{let E=[r,s], $ =(R,F)=>{if(F==="NCHW"&&R.shape.length===1&&R.shape[0]!==1){let S=de({inputs:{x:R},backend:n,attrs:{shape:[R.shape[0],1,1]}});return b.push(S),S}return R};if(x&&E.push( $ (i,p)),w&&E.push( $ (o,p)),I){let R=n.makeTensorInfo([],"float32",v.createScalarValue(m,"float32"));E.push(R),b.push(R)}return E};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"))y=tE({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else if(g.strideWidth<=2&&f==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let E=h?Qp(h,!0):null, $ =new eE(g,x,E,w,I),R=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=T();y=n.runWebGLProgram( $ ,F,"float32",R)}else if(H().getBool("WEBGL_CONV_IM2COL"))y=nE({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else{let E=h?Qp(h,!1):null, $ =new Q_(g,x,E,w,I),R=T();y=n.runWebGLProgram( $ ,R,"float32")}let C=de({inputs:{x:y},backend:n,attrs:{shape:g.outShape}});return b.push(y),b.forEach(E=>n.disposeIntermediateTensorInfo(E)),C}var Gee={kernelName:ei,backendName:"webgl",kernelFunc:Uee};function Hee(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]),v.assert(N.eitherStridesOrDilationsAreOne(l,f),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { l } and dilations '${f}' ` );let g=N.computeConv2DInfo(r.shape,s.shape,l,f,u,d,!0),y=H().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=c?Qp(c,y):null,x=[r,s],w=i!=null,I=o!=null,T=c==="leakyrelu";if(w&&x.push(i),I&&x.push(o),T){let R=n.makeTensorInfo([],"float32",v.createScalarValue(h,"float32"));x.push(R),m.push(R)}let C;y?C=new sE(g,w,b,I,T):C=new rE(g,w,b,I,T);let E=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]], $ =n.runWebGLProgram(C,x,"float32",E);return m.forEach(R=>n.disposeIntermediateTensorInfo(R)), $ }var qee={kernelName:ti,backendName:"webgl",kernelFunc:Hee},jee=class{constructor(e,t,n,a){this.sliceDim=e,this.strides=t,this.paramsShape=a,this.variableNames=["x","indices"],this.outputShape=n;let r=gt(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 ;
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$ { s }
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setOutput ( out _of _bounds ? 0.0 : getX ( flattenIndex , coords [ 1 ] ) ) ;
}
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` }};function Kee(e){let{inputs:t,backend:n}=e,{params:a,indices:r}=t,s=r.shape,i=s[s.length-1],o=v.sizeFromShape(a.shape),[l,u,p,d]=N.prepareAndValidate(a,r),c=de({inputs:{x:r},backend:n,attrs:{shape:[u,i]}}),h=de({inputs:{x:a},backend:n,attrs:{shape:[v.sizeFromShape(a.shape)/p,p]}});if(n.shouldExecuteOnCPU([a,r])||a.dtype==="string"){let y=n.readSync(r.dataId),b=n.bufferSync(a),x=a7(y,b,a.dtype,u,i,p,d,a.shape,o);return n.makeTensorInfo(l,a.dtype,x.values)}let m=new jee(i,d,[u,p],a.shape),f=n.runWebGLProgram(m,[h,c],h.dtype),g=de({inputs:{x:f},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),g}var Xee={kernelName:Vl,backendName:"webgl",kernelFunc:Kee},Yee=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=gt(this.rank),a=Zee(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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` }};function Zee(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 lE(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=a,l=v.parseAxisParam(i,r.shape)[0];if(H().get("DEBUG")){let b=n.readSync(s.dataId),x=r.shape[l];for(let w=0;w<b.length;++w){let I=b[w];v.assert(I<=x-1&&I>=0,()=> ` GatherV2 : the index value $ { I } is not in [ 0 , $ { x - 1 } ] ` )}}let u=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),p=v.sizeFromShape(s.shape),d=[],c=de({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=de({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 b=n.bufferSync(h),x=n.bufferSync(c),w=r7(x,b,m);return d.forEach(I=>n.disposeIntermediateTensorInfo(I)),n.makeTensorInfo(u.outputShape,w.dtype,w.values)}let f=new Yee(c.shape,m),g=n.runWebGLProgram(f,[c,h],c.dtype);d.push(g);let y=de({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(b=>n.disposeIntermediateTensorInfo(b)),y}var Jee={kernelName:Bl,backendName:"webgl",kernelFunc:lE},Qee="return float(a > b);",ete= `
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return vec4 ( greaterThan ( a , b ) ) ;
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` ,tte=cn({opSnippet:Qee,packedOpSnippet:ete,cpuKernelImpl:s7,dtype:"bool"}),nte={kernelName:Ul,backendName:"webgl",kernelFunc:tte},ate="return float(a >= b);",rte= `
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return vec4 ( greaterThanEqual ( a , b ) ) ;
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` ,ste=cn({opSnippet:ate,packedOpSnippet:rte,dtype:"bool",cpuKernelImpl:i7}),ite={kernelName:Mi,backendName:"webgl",kernelFunc:ste};function ote(e){let{inputs:t,backend:n}=e,{input:a}=t;return oE(a,!0,n)}var lte={kernelName:pm,backendName:"webgl",kernelFunc:ote},ute="return float(!isnan(x) && !isinf(x));",pte=Ye({opSnippet:ute,dtype:"bool"}),cte={kernelName:Gl,backendName:"webgl",kernelFunc:pte},dte="return float(isinf(x));",hte=Ye({opSnippet:dte,dtype:"bool"}),mte={kernelName:Hl,backendName:"webgl",kernelFunc:hte},fte="return float(isnan(x));",gte=Ye({opSnippet:fte,dtype:"bool"}),yte={kernelName:Oi,backendName:"webgl",kernelFunc:gte},bte="return float(a < b);",xte= `
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return vec4 ( lessThan ( a , b ) ) ;
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` ,vte=cn({opSnippet:bte,packedOpSnippet:xte,cpuKernelImpl:o7,dtype:"bool"}),wte={kernelName:ql,backendName:"webgl",kernelFunc:vte},kte="return float(a <= b);",Ite= `
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return vec4 ( lessThanEqual ( a , b ) ) ;
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` ,Ste=cn({opSnippet:kte,packedOpSnippet:Ite,cpuKernelImpl:l7,dtype:"bool"}),Tte={kernelName:jl,backendName:"webgl",kernelFunc:Ste};function Nte(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=u7(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var Cte={kernelName:dm,backendName:"webgl",kernelFunc:Nte},_te=Bu+ `
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return x < 0.0 ? 0. / 0. : log ( x ) ;
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` ,Ete= `
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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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` ,Ate=Ye({opSnippet:_te,packedOpSnippet:Ete,cpuKernelImpl:p7}), $ te={kernelName:zi,backendName:"webgl",kernelFunc:Ate},Fte=Bu+ `
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return log ( 1.0 + x ) ;
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` ,Rte=Ye({opSnippet:Fte}),Dte={kernelName:Kl,backendName:"webgl",kernelFunc:Rte},Mte="return float(a >= 1.0 && b >= 1.0);",Pte= `
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return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
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` ,Ote=cn({opSnippet:Mte,packedOpSnippet:Pte,dtype:"bool"}),Lte={kernelName:Xl,backendName:"webgl",kernelFunc:Ote},zte="return float(!(x >= 1.0));",Wte=Ye({opSnippet:zte}),Bte={kernelName:Yl,backendName:"webgl",kernelFunc:Wte},Vte="return float(a >= 1.0 || b >= 1.0);",Ute= `
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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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` ,Gte=cn({opSnippet:Vte,packedOpSnippet:Ute,dtype:"bool"}),Hte={kernelName:Zl,backendName:"webgl",kernelFunc:Gte},qte=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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` }},jte=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= `
2022-10-18 13:23:49 +02:00
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords . x ;
int r = coords . y ;
int c = coords . z ;
int d = coords . w ;
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bool hasNextCol = d < $ { this . outputShape [ 3 ] } ;
bool hasNextRow = c < $ { this . outputShape [ 2 ] } ;
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vec4 sum = vec4 ( 0. ) ;
vec4 xFragAtOutputCoords = getX ( b , r , c , d ) ;
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vec4 xAtOutputCoords = vec4 (
getChannel ( xFragAtOutputCoords , vec2 ( c , d ) ) ,
hasNextCol ?
getChannel ( xFragAtOutputCoords , vec2 ( c , d + 1 ) ) : 0.0 ,
hasNextRow ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d ) ) : 0.0 ,
( hasNextRow && hasNextCol ) ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d + 1 ) ) : 0.0
) ;
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int firstChannel = d - $ { s } ;
vec2 cache = vec2 ( 0. ) ;
if ( firstChannel >= 0 ) {
vec4 firstChannelFrag = getX ( b , r , c , firstChannel ) ;
cache . x = getChannel ( firstChannelFrag , vec2 ( c , firstChannel ) ) ;
if ( hasNextRow ) {
cache . y = getChannel ( firstChannelFrag , vec2 ( c + 1 , firstChannel ) ) ;
}
}
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ivec2 depth = ivec2 ( d , d + 1 ) ;
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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` }},Kte=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a,u=H().getBool("WEBGL_PACK_NORMALIZATION")?new jte(r.shape,s,i,o,l):new qte(r.shape,s,i,o,l);return n.runWebGLProgram(u,[r],r.dtype)},Xte={kernelName:pc,backendName:"webgl",kernelFunc:Kte},Yte=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 } )
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* getInputImage ( b , r , c , k ) * getOutputImage ( b , r , c , d )
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/ 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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` }},Zte=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 Yte(r.shape,o,l,u,p);return n.runWebGLProgram(d,[r,s,i],r.dtype)},Jte={kernelName:hm,backendName:"webgl",kernelFunc:Zte};function Qte(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=No(i,e.dtype,"max",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}function uE(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=n.shouldExecuteOnCPU([r]),h=r;if(d){if(c){let b=n.texData.get(h.dataId).values,x=new Array(o);for(let T=0;T<x.length;T++)x[T]=r.shape[p[T]];let w=Q0(b,r.shape,r.dtype,p,x);h=n.makeTensorInfo(x,r.dtype);let I=n.texData.get(h.dataId);I.values=w}else h=Af(r,p,n);u=N.getInnerMostAxes(u.length,o)}N.assertAxesAreInnerMostDims("max",u,o);let[m,f]=N.computeOutAndReduceShapes(h.shape,u),g=m;i&&(g=N.expandShapeToKeepDim(m,l));let y;if(c){let b=n.texData.get(h.dataId).values,x=c7(b,v.sizeFromShape(f),g,r.dtype);y=n.makeTensorInfo(g,r.dtype);let w=n.texData.get(y.dataId);w.values=x}else y=Qte(h,f,g,n);return d&&n.disposeIntermediateTensorInfo(h),y}var ene={kernelName:Wi,backendName:"webgl",kernelFunc:uE},tne=e1+ `
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return max ( a , b ) ;
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` ,nne= `
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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 ) ;
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` +ed+ `
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return result ;
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` ,ane=cn({opSnippet:tne,packedOpSnippet:nne,cpuKernelImpl:d7}),rne={kernelName:Bi,backendName:"webgl",kernelFunc:ane};function sne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;Pu(r,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${u}' ` );let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.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 ine={kernelName:Vi,backendName:"webgl",kernelFunc:sne};function one(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=N.computePool3DInfo(r.shape,s,i,p,o,u,l),c=new n1(d,"max",!1);return n.runWebGLProgram(c,[r],r.dtype)}var lne={kernelName:cc,backendName:"webgl",kernelFunc:one},une=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 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { s } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { n } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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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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` }},pne=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 ) ;
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for ( int wR = 0 ; wR < $ { l } ;
wR += $ { s } ) {
float dyR = float ( dyRCorner + wR ) / $ { n } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
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 cne(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=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new n1(c,"max",!0),m=n.runWebGLProgram(h,[i],i.dtype),f=new pne(c),g=n.runWebGLProgram(f,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),g}var dne={kernelName:fm,backendName:"webgl",kernelFunc:cne};function hne(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;Pu([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:d}=a,c=N.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 une(c),y=n.runWebGLProgram(g,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),y}var mne={kernelName:mm,backendName:"webgl",kernelFunc:hne};function fne(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 gne={kernelName:gm,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;v.assert(a.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { a . shape . length } . ` );let u=[1,1];v.assert(N.eitherStridesOrDilationsAreOne(s,u),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { s } and dilations '${u}' ` );let p=N.computePool2DInfo(a.shape,r,s,u,i),[d,c]=fne(a,o,p,l);return[d,c]}};function yne(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=de({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=No(i,"float32","mean",a),l=de({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}var bne={kernelName:Ui,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=v.parseAxisParam(s,a.shape),u=l,p=N.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,w=new Array(o);for(let C=0;C<w.length;C++)w[C]=a.shape[p[C]];let I=Q0(x,a.shape,a.dtype,p,w);m=i.makeTensorInfo(w,a.dtype);let T=i.texData.get(m.dataId);T.values=I}else m=Af(a,p,i);h.push(m),u=N.getInnerMostAxes(u.length,o)}N.assertAxesAreInnerMostDims("sum",u,o);let[f,g]=N.computeOutAndReduceShapes(m.shape,u),y=f;r&&(y=N.expandShapeToKeepDim(f,l));let b=yne(m,g,y,i);for(let x of h)i.disposeIntermediateTensorInfo(x);return b}};function xne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,r.shape.length)),N.assertAxesAreInnerMostDims("min",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=de({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=No(f,f.dtype,"min",n),y;if(i){let b=N.expandShapeToKeepDim(c,l);y=de({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=de({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),y}var vne={kernelName:Gi,backendName:"webgl",kernelFunc:xne},wne=e1+ `
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return min ( a , b ) ;
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` ,kne= `
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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 ) ;
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` +ed+ `
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return result ;
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` ,Ine=cn({opSnippet:wne,packedOpSnippet:kne,cpuKernelImpl:h7}),Sne={kernelName:Hi,backendName:"webgl",kernelFunc:Ine},Tne=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=gt(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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` }},Nne=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=gt(a),s=t.map(h=>h[0]).join(","),i=t.map((h,m)=>h[0]+e[m]).join(","),o=kn("rc",a),l=kn("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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` }},Cne=({inputs:e,backend:t,attrs:n})=>{let{x:a}=e,{paddings:r,mode:s}=n,i=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Nne(a.shape,r,s):new Tne(a.shape,r,s);return t.runWebGLProgram(i,[a],a.dtype)},_ne={kernelName:qi,backendName:"webgl",kernelFunc:Cne},Ene= ` if ( b == 0.0 ) return NAN ;
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return mod ( a , b ) ; ` ,Ane= `
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vec4 result = mod ( a , b ) ;
bvec4 isNaN = equal ( b , vec4 ( 0.0 ) ) ;
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` +ed+ `
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return result ;
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` , $ ne=cn({opSnippet:Ene,packedOpSnippet:Ane}),Fne={kernelName:Jl,backendName:"webgl",kernelFunc: $ ne},Rne=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 ;
}
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}
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// If no other event happened, last event happened.
setOutput ( float ( $ { t - 1 } ) ) ;
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}
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` }},Dne= `
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if ( a == b ) {
return 1.0 ;
} ;
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return a / b ; ` ,Mne= `
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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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` ,pE=cn({opSnippet:Dne,packedOpSnippet:Mne,checkOutOfBounds:!0}),Pne={kernelName:Ei,backendName:"webgl",kernelFunc:pE},lI="return a - b;",cE=cn({opSnippet:lI,packedOpSnippet:lI,supportsComplex:!0,cpuKernelImpl:R7}),One={kernelName:mo,backendName:"webgl",kernelFunc:cE};function dE(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=v.parseAxisParam([s],r.shape),o=uE({inputs:{x:r},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=N.expandShapeToKeepDim(o.shape,i),u=de({inputs:{x:o},backend:n,attrs:{shape:l}}),p=cE({inputs:{a:r,b:u},backend:n}),d=iE({inputs:{x:p},backend:n}),c= $ f({inputs:{x:d},backend:n,attrs:{axis:i,keepDims:!1}}),h=de({inputs:{x:c},backend:n,attrs:{shape:l}}),m=pE({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 Lne={kernelName:co,backendName:"webgl",kernelFunc:dE};function zne(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a,l=o?r:dE({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],d=new Rne(u,p,s),c=[[i]],h=n.runWebGLProgram(d,[l],"int32",c);return o||n.disposeIntermediateTensorInfo(l),h}var Wne={kernelName:ym,backendName:"webgl",kernelFunc:zne},Bne=Ma+ `
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return - x ;
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` ,Vne= `
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vec4 result = - x ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
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` ;function Une(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])){let s=n.texData.get(a.dataId),[i,o]=f7(s.values,a.shape,a.dtype);return n.makeTensorInfo(o,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new Qr(a.shape,Vne):r=new rr(a.shape,Bne),n.runWebGLProgram(r,[a],a.dtype)}var Gne={kernelName:Ql,backendName:"webgl",kernelFunc:Une},Hne=hr.nonMaxSuppressionV3Impl;function qne(e){N.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}=Hne(u,p,i,o,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var jne={kernelName:tu,backendName:"webgl",kernelFunc:qne},Kne=hr.nonMaxSuppressionV4Impl;function Xne(e){N.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}=Kne(p,d,i,o,l,u);return[n.makeTensorInfo([c.length],"int32",new Int32Array(c)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var Yne={kernelName:nu,backendName:"webgl",kernelFunc:Xne},Zne=hr.nonMaxSuppressionV5Impl;function Jne(e){N.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:y}=Zne(p,d,c,h,m,f);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var Qne={kernelName:au,backendName:"webgl",kernelFunc:Jne},eae=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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` }},tae=e=>{let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=v.sizeFromShape(r.shape),p=new eae(u,i,o,l),d=de({inputs:{x:r},backend:n,attrs:{shape:[u]}}),c=n.runWebGLProgram(p,[d],s);n.disposeIntermediateTensorInfo(d);let h=[...r.shape,i],m=de({inputs:{x:c},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(c),m},nae={kernelName:Ki,backendName:"webgl",kernelFunc:tae};function Vh(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="complex64"){let r=nd({inputs:{input:a},backend:n}),s=Vh({inputs:{x:r},backend:n}),i=Ff({inputs:{input:a},backend:n}),o=Vh({inputs:{x:i},backend:n}),l=Ns({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return ad({attrs:{shape:a.shape,dtype:a.dtype,value:a.dtype==="string"?"":0},backend:n})}var aae={kernelName:wu,backendName:"webgl",kernelFunc:Vh};function hE(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=nd({inputs:{input:a},backend:n}),s=hE({inputs:{x:r},backend:n}),i=Ff({inputs:{input:a},backend:n}),o=Vh({inputs:{x:i},backend:n}),l=Ns({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return ad({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:n})}var rae={kernelName:ru,backendName:"webgl",kernelFunc:hE};function sae(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return px({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=px({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=J_({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var iae={kernelName:su,backendName:"webgl",kernelFunc:sae},oae=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=gt(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 } ;
void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
setOutput ( value ) ;
} else {
setOutput ( getX ( outC - start ) ) ;
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}
}
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` ;return}this.userCode= `
$ { r } start = $ { r } ( $ { s } ) ;
$ { r } end = $ { r } ( $ { i } ) ;
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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` }},lae=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=gt(a),s=t.map(m=>m[0]).join(","),i=t.map((m,f)=>m[0]+e[f]).join(","),o=kn("rc",a),l=kn("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 } ) ;
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}
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` ;h+=a===1?"} ":"}}",this.userCode= `
const $ { r } start = $ { r } ( $ { s } ) ;
const $ { r } end = $ { r } ( $ { i } ) ;
void main ( ) {
$ { r } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { h }
setOutput ( result ) ;
}
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` }},mE=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;if(v.sizeFromShape(r.shape)===0){let u=s.map((p,d)=>p[0]+r.shape[d]+p[1]);return ad({backend:n,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new lae(r.shape,s,i):new oae(r.shape,s,i),l=[[i]];return n.runWebGLProgram(o,[r],r.dtype,l)},uae={kernelName:Xi,backendName:"webgl",kernelFunc:mE},pae= `
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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 ;
}
return ( round ( mod ( b , 2.0 ) ) != 1 ) ?
pow ( abs ( a ) , b ) : sign ( a ) * pow ( abs ( a ) , b ) ;
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` ,cae= `
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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 ) ;
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` +ed+ `
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return result ;
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` ,dae=cn({opSnippet:pae,packedOpSnippet:cae}),hae={kernelName:Yi,backendName:"webgl",kernelFunc:dae};function mae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=[],u=v.parseAxisParam(s,r.shape),p=u,d=N.getAxesPermutation(p,o),c=r;d!=null&&(c=In({inputs:{x:r},backend:n,attrs:{perm:d}}),p=N.getInnerMostAxes(p.length,o),l.push(c)),N.assertAxesAreInnerMostDims("prod",p,o);let h;if(n.shouldExecuteOnCPU([c])){let m=n.texData.get(c.dataId).values,{outVals:f,outShape:g,outDtype:y}=y7(c.shape,c.dtype,m,p);h=n.makeTensorInfo(g,y,f)}else{let[m,f]=N.computeOutAndReduceShapes(c.shape,p),g=v.sizeFromShape(f),y=de({inputs:{x:c},backend:n,attrs:{shape:[-1,g]}}),b=_m(r.dtype),x=No(y,b,"prod",n);h=de({inputs:{x},backend:n,attrs:{shape:m}}),l.push(y),l.push(x)}if(i){l.push(h);let m=N.expandShapeToKeepDim(h.shape,u);h=de({inputs:{x:h},backend:n,attrs:{shape:m}})}return l.forEach(m=>n.disposeIntermediateTensorInfo(m)),h}var fae={kernelName:Ji,backendName:"webgl",kernelFunc:mae};function gae(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(y=>n.readSync(y.dataId)),u=r.map(y=>y.shape),p=n.readSync(s.dataId),d=n.readSync(i.dataId),[c,h,m]=b7(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(y=>n.makeTensorInfo([y.length],"int32",y)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var yae={kernelName:bm,backendName:"webgl",kernelFunc:gae};function bae(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]=x7(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 xae={kernelName:xm,backendName:"webgl",kernelFunc:bae};function vae(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]=v7(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var wae={kernelName:vm,backendName:"webgl",kernelFunc:vae},fE=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=w7(a,r,s,i);return t.makeTensorInfo([o.length],i,o)},kae={kernelName:dc,backendName:"webgl",kernelFunc:fE},Iae="return 1.0 / x;",Sae=Ye({opSnippet:Iae}),Tae={kernelName:Qi,backendName:"webgl",kernelFunc:Sae},Nae=Ma+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,Cae= `
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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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` ,_ae=Ye({opSnippet:Nae,packedOpSnippet:Cae}),Eae={kernelName:eo,backendName:"webgl",kernelFunc:_ae},Aae=Ma+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` , $ ae= `
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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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` ,Fae=Ye({opSnippet:Aae,packedOpSnippet: $ ae}),Rae={kernelName:ao,backendName:"webgl",kernelFunc:Fae},Dae=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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}
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` }},Mae=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= `
2022-10-18 13:23:49 +02:00
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 ) ;
float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
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}
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
// Calculate values for next column in yRC.z.
ivec3 yRC = coords . yzz + ivec3 ( 0 , 0 , 1 ) ;
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// Fractional source index.
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 Pae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Mae(r.shape,l,u,s,i):new Dae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],"float32")}var Oae={kernelName:no,backendName:"webgl",kernelFunc:Pae},Lae=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 ;
}
if ( r == bottomDxRIndex && c == rightDxCIndex ) {
// bottomRight
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * dxCLerp ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
}
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` }};function zae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Lae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Wae={kernelName:Im,backendName:"webgl",kernelFunc:zae},Bae=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 ) ;
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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` }},Vae=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 Uae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Vae(r.shape,l,u,s,i):new Bae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],r.dtype)}var Gae={kernelName:to,backendName:"webgl",kernelFunc:Uae},Hae=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 qae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Hae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var jae={kernelName:km,backendName:"webgl",kernelFunc:qae},Kae=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=gt(n);this.userCode= `
void main ( ) {
$ { s } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { r } ) ) ;
}
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` }},Xae=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=kn("rc",n),r= ` $ { a [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,s= ` $ { a [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,i=gt(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((y,b)=>c(b,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 Yae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return ta({inputs:{x:r},backend:n});let l=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Xae(r.shape,o):new Kae(r.shape,o);return n.runWebGLProgram(l,[r],r.dtype)}var Zae={kernelName:ro,backendName:"webgl",kernelFunc:Yae},Jae=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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` }},Qae={kernelName:ku,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=new Jae(a.shape,s),[u,p]=N.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)}},ere= `
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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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}
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` ,tre=Ye({opSnippet:ere}),nre={kernelName:so,backendName:"webgl",kernelFunc:tre},are="return inversesqrt(x);",rre=Ye({opSnippet:are,cpuKernelImpl:k7}),sre={kernelName:io,backendName:"webgl",kernelFunc:rre},gE=class{constructor(e,t,n,a,r,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=gt(r.length),l=gt(s.length),u="";n===1?u="i":n===2&&(u="i, j");let p= ` getIndices ( $ { u } ) ` ,d="";a===1?d="i":a===2&&(d="i, coords[1]");let c= ` getUpdates ( $ { d } ) ` ,h=t>1?"strides[j]":"strides";this.userCode= `
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$ { o } strides = $ { o } ( $ { r } ) ;
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void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
float sum = 0.0 ;
bool found = false ;
for ( int i = 0 ; i < $ { e } ; i ++ ) {
int flattenedIndex = 0 ;
for ( int j = 0 ; j < $ { t } ; j ++ ) {
int index = round ( $ { p } ) ;
flattenedIndex += index * $ { h } ;
}
if ( flattenedIndex == coords [ 0 ] ) {
sum += $ { c } ;
found = true ;
}
}
setOutput ( mix ( getDefaultValue ( ) , sum , float ( found ) ) ) ;
}
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` }};function ire(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}=N.calculateShapes(s,r,i),c=[d/u,u];if(d===0)return n.makeTensorInfo(i,r.dtype);let h=de({inputs:{x:r},backend:n,attrs:{shape:[l,o]}}),m=de({inputs:{x:s},backend:n,attrs:{shape:[l,u]}}),f=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new gE(l,o,h.shape.length,m.shape.length,p,c),y=n.runWebGLProgram(g,[m,h,f],m.dtype),b=de({inputs:{x:y},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(f),b}var ore={kernelName:ou,backendName:"webgl",kernelFunc:ire},lre=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=H().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 ure(e){let{inputs:t,backend:n,attrs:a}=e,{sortedSequence:r,values:s}=t,{side:i}=a,o=new lre(r.shape[0],r.shape[1],s.shape[1],i),l=[[r.shape[1]]];return n.runWebGLProgram(o,[r,s],"int32",l)}var pre={kernelName:Sm,backendName:"webgl",kernelFunc:ure},cre=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=gt(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 dre(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=new cre(a.shape.length,r.shape,r.shape.length);return n.runWebGLProgram(i,[a,r,s],ma(r.dtype,s.dtype))}var hre={kernelName:lu,backendName:"webgl",kernelFunc:dre},mre= `
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// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = $ { N . SELU _SCALEALPHA } ;
float scale = $ { N . SELU _SCALE } ;
return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
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` ,fre=Ye({opSnippet:mre}),gre={kernelName:uu,backendName:"webgl",kernelFunc:fre},yre=Bu+ `
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return 1.0 / ( 1.0 + exp ( - 1.0 * x ) ) ;
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` ,bre= `
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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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` ,xre=Ye({opSnippet:yre,packedOpSnippet:bre,cpuKernelImpl:S7}),vre={kernelName:lo,backendName:"webgl",kernelFunc:xre},wre= `
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if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
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` ,kre=Ye({opSnippet:wre}),Ire={kernelName:du,backendName:"webgl",kernelFunc:kre},Sre=Bu+ `
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return sin ( x ) ;
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` ,Tre=Ye({opSnippet:Sre}),Nre={kernelName:oo,backendName:"webgl",kernelFunc:Tre},Cre= `
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float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
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` ,_re=Ye({opSnippet:Cre}),Ere={kernelName:cu,backendName:"webgl",kernelFunc:_re},Are= `
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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 ) ;
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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` , $ re=Ye({opSnippet:Are}),Fre={kernelName:hu,backendName:"webgl",kernelFunc: $ re},Rre=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,b)=>y*b),l=[[0,0]];l.push(...i);for(let y=1+s.length;y<r.shape.length;++y)l.push([0,0]);let u=[],p=mE({inputs:{x:r},backend:n,attrs:{paddings:l,constantValue:0}}),d=N.getReshaped(p.shape,s,o,!1),c=N.getPermuted(d.length,s.length,!1),h=N.getReshapedPermuted(p.shape,s,o,!1),m=de({inputs:{x:p},backend:n,attrs:{shape:d}}),f=In({inputs:{x:m},backend:n,attrs:{perm:c}}),g=de({inputs:{x:f},backend:n,attrs:{shape:h}});return u.push(p),u.push(m),u.push(f),u.forEach(y=>n.disposeIntermediateTensorInfo(y)),g},Dre={kernelName:mu,backendName:"webgl",kernelFunc:Rre};function Mre(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]=N7(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 Pre={kernelName:hc,backendName:"webgl",kernelFunc:Mre};function Ore(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]=C7(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var Lre={kernelName:gu,backendName:"webgl",kernelFunc:Ore};function zre(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]=L_(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var Wre={kernelName:mc,backendName:"webgl",kernelFunc:zre};function Bre(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]=L_(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var Vre={kernelName:fc,backendName:"webgl",kernelFunc:Bre};function Ure(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}=N.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let y=n.bufferSync(r),b=n.bufferSync(s),x=v.decodeString(n.readSync(i.dataId)[0]),w=I7(y,b,o,c,p,u,l,d,x,h);return n.makeTensorInfo(o,w.dtype,w.values)}let m=new gE(u,l,r.shape.length,s.shape.length,d,[c,1],h),f=n.runWebGLProgram(m,[s,r,i],s.dtype),g=de({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(f),g}var Gre={kernelName:Tm,backendName:"webgl",kernelFunc:Ure};function Hre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.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=Vu({inputs:{x:r},backend:n,attrs:{begin:p,size:h}});return p[o]+=c,m})}var qre={kernelName:fu,backendName:"webgl",kernelFunc:Hre},uI="return sqrt(x);",jre=Ye({opSnippet:uI,packedOpSnippet:uI,cpuKernelImpl:_7}),Kre={kernelName:uo,backendName:"webgl",kernelFunc:jre},Xre="return x * x;",Yre=Ye({opSnippet:Xre}),Zre={kernelName:gc,backendName:"webgl",kernelFunc:Yre},pI="return (a - b) * (a - b);",Jre=cn({opSnippet:pI,packedOpSnippet:pI}),Qre={kernelName:ho,backendName:"webgl",kernelFunc:Jre};function ese({inputs:e,attrs:t,backend:n}){let{x:a}=e,r=Ma+ `
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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 tse={kernelName:bs,backendName:"webgl",kernelFunc:ese},nse=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let a=n.length,r=gt(n.length),s=gt(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 ase(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:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=de({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { r . shape . length } ` );let C=Kt.computeOutShape(b,x,w),E=Vu({inputs:{x:r},backend:n,attrs:{begin:b,size:C}});I=de({inputs:{x:E},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(E)}else if(n.shouldExecuteOnCPU([r])){let C=n.readSync(r.dataId),E=Le(r.shape,r.dtype,C), $ =E7(h,E,w,b);I=n.makeTensorInfo(m,r.dtype, $ .values)}else{let C=new nse(b,w,h);I=n.runWebGLProgram(C,[r],r.dtype)}let T=de({inputs:{x:I},backend:n,attrs:{shape:m}});return n.disposeIntermediateTensorInfo(I),T}var rse={kernelName:yu,backendName:"webgl",kernelFunc:ase};function sse(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]=A7(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var ise={kernelName:yc,backendName:"webgl",kernelFunc:sse};function ose(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]= $ 7(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 lse={kernelName:bc,backendName:"webgl",kernelFunc:ose};function use(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=F7(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var pse={kernelName:xc,backendName:"webgl",kernelFunc:use},cse="return tan(x);",dse=Ye({opSnippet:cse}),hse={kernelName:fo,backendName:"webgl",kernelFunc:dse},mse= `
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float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
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` ,fse=Ye({opSnippet:mse}),gse={kernelName:go,backendName:"webgl",kernelFunc:fse},yse=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=gt(this.rank),r=bse(e);this.userCode= `
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void main ( ) {
$ { a } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { r } ) ) ;
}
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` }};function bse(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 yE(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=>v.decodeString(d)):o,u=Le(r.shape,r.dtype,l),p=D7(u,s);return n.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new yse(r.shape,s);return n.runWebGLProgram(i,[r],r.dtype)}var xse={kernelName:ys,backendName:"webgl",kernelFunc:yE},vse=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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` }},wse=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 ;
setOutput ( x0 >= x1 ? float ( i0 ) : float ( i1 ) ) ;
}
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` }};function Bs(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function cI(e){let t=1;for(;t<e;)t*=2;return t}function kse(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{k:s,sorted:i}=a,o=H().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),l=H().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),u=r.shape,p=u[u.length-1];if(n.shouldExecuteOnCPU([r])||p<o||s>l){let $ =n.readSync(r.dataId),[R,F]=M7( $ ,u,r.dtype,s,i);return[n.makeTensorInfo(R.shape,R.dtype,R.values),n.makeTensorInfo(F.shape,F.dtype,F.values)]}if(s===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(p===1)return[r,ad({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=v.sizeFromShape(u)/p,f=de({inputs:{x:h},attrs:{shape:[m,p]},backend:n});c&&Bs(n,h);let g=cI(s),y=cI(p),b=null,x=()=>b===null?[f,f]:[f,b],w=( $ ,R,F)=>{let S=x(),M=new vse(F),B=[[p],[b===null?1:0],[Number.NEGATIVE_INFINITY],[ $ ],[R]],U=b;b=n.runWebGLProgram(M,S,"int32",B),Bs(n,U)};for(let $ =1; $ <g; $ *=2){let R= $ *2;for(let F= $ ;F>=1;F/=2)w(R,F,[m,y])}for(let $ =y; $ >g; $ /=2){let R=x(),F=new wse([m, $ /2]),S=[[p],[b===null?1:0],[g]],M=b;b=n.runWebGLProgram(F,R,"int32",S),Bs(n,M);let B=g/2,U=B*2;for(let G=B;G>=1;G/=2)w(U,G,b.shape)}let I=b;b=Vu({inputs:{x:b},backend:n,attrs:{begin:0,size:[m,s]}}),Bs(n,I);let T=lE({inputs:{x:f,indices:b},backend:n,attrs:{axis:1,batchDims:1}});Bs(n,f);let C=u.slice(0,-1);C.push(s),I=b,b=de({inputs:{x:b},attrs:{shape:C},backend:n}),Bs(n,I);let E=T;return T=de({inputs:{x:T},attrs:{shape:C},backend:n}),Bs(n,E),[T,b]}var Ise={kernelName:bu,backendName:"webgl",kernelFunc:kse},Sse=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 Tse(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],y=new Sse(d,c,i,o,l,g);return n.runWebGLProgram(y,[r,s],"float32")}var Nse={kernelName:xu,backendName:"webgl",kernelFunc:Tse};function Cse(e){let{inputs:t,attrs:n,backend:a}=e,{axis:r}=n,{x:s}=t;Pu(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}=P7(i,r,s.shape,s.dtype);return[a.makeTensorInfo(l,s.dtype,o),a.makeTensorInfo([u.length],"int32",u)]}var _se={kernelName:Nm,backendName:"webgl",kernelFunc:Cse};function Ese(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=Vu({inputs:{x:i},backend:n,attrs:{begin:c,size:h}}),y=de({inputs:{x:g},backend:n,attrs:{shape:u}});m[f]=y,d.push(g)}return d.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var Ase={kernelName:vu,backendName:"webgl",kernelFunc:Ese}, $ se=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 Fse(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=N.getAxesPermutation([u],o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),l.push(d),u=N.getInnerMostAxes(1,o)[0]);let c=N.segment_util.computeOutShape(d.shape,u,i),h=v.sizeFromShape([d.shape[u]]),m=de({inputs:{x:d},backend:n,attrs:{shape:[-1,h]}});l.push(m);let f=_m(r.dtype),g=(w,I,T,C,E)=>{let $ =w.shape[0],R=w.shape[1],F=N.segment_util.segOpComputeOptimalWindowSize(R,E),S={windowSize:F,inSize:R,batchSize: $ ,numSegments:E},M=new $ se(S,I),B=n.compileAndRun(M,[w,T],C);if(l.push(B),B.shape[1]===E)return B;let U=fE({backend:n,attrs:{start:0,stop:E,step:1,dtype:"float32"}}),G=yE({inputs:{x:U},backend:n,attrs:{reps:[R/F]}});return l.push(U),l.push(G),g(B,I,G,C,E)},y=g(m,"unsortedSegmentSum",s,f,i),b=de({inputs:{x:y},backend:n,attrs:{shape:c}}),x=b;if(p!=null){l.push(b);let w=N.getUndoAxesPermutation(p);x=In({inputs:{x},backend:n,attrs:{perm:w}})}return l.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}var Rse={kernelName:vc,backendName:"webgl",kernelFunc:Fse},Dse=[EJ, $ J,DJ,OJ,zJ,VJ,GJ,qJ,YJ,JJ,t9,r9,o9,c9,m9,g9,b9,k9,S9,N9,A9,O9,z9,B9,j9,X9,Q9,dJ,nQ,oQ,cQ,yQ,xQ,wQ,IQ,TQ,_Q, $ Q,DQ,PQ,LQ,WQ,UQ,HQ,XQ,ZQ,eee,aee,see,uee,hee,yee,vee,Iee,See,Nee,_ee,Aee,Fee,Dee,Lee,Bee,Gee,qee,Xee,Jee,nte,ite,cJ,lte,sQ,cte,mte,yte,mJ,wte,Tte,Cte, $ te,Dte,Lte,Bte,Hte,Xte,Jte,ene,rne,ine,lne,dne,mne,gne,bne,vne,Sne,_ne,Fne,Wne,yJ,Gne,jne,Yne,Qne,U9,nae,rae,iae,uae,hae,gJ,fae,yae,xae,wae,kae,G9,Pne,Tae,Eae,Rae,xJ,Oae,Wae,Gae,jae,Zae,Qae,nre,sre,ore,pre,hre,gre,vre,Ire,Nre,Ere,M9,Lne,Fre,Dre,Pre,Lre,Wre,Vre,Gre,qre,Kre,Zre,Qre,tse,rse,ise,lse,pse,One,NJ,hse,gse,xse,Ise,Nse,CJ,_se,Ase,Rse,aae];for(let e of Dse)wc(e);var At;(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"})(At||(At={}));var nc;(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"})(nc||(nc={}));var bE;function Mse(e){bE=e.wasm.cwrap(Qs,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Pse(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 E=n.dataIdMap.get(i.dataId);if(E.shape.length!==1)throw new Error( ` _FusedMatMul only supports rank - 1 bias but got rank $ { E . shape . length } . ` );m=E.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=nc[p];if(g==null)throw new Error( ` $ { p } activation not yet supported for FusedConv2D in the wasm backend . ` );let y=l?r.shape[2]:r.shape[1],b=u?s.shape[1]:s.shape[2],x=Iu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),w=n.makeOutput([...x,y,b],r.dtype),I=n.dataIdMap.get(w.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return bE(c,T,r.shape.length,h,C,s.shape.length,l,u,g,m,f,d||0,I),w}var Ose={kernelName:Qs,backendName:"wasm",setupFunc:Mse,kernelFunc:Pse};function Ut(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 v.sizeFromShape(u.shape)===0||n(l,At[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:a,kernelFunc:r}}var Lse=Ut(wl);function dn(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=N.assertAndGetBroadcastShape(u.shape,p.shape),f=o.makeOutput(m,h);if(v.sizeFromShape(m)===0)return f;let g=
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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=v.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;cA(i,o,l,u,c,m,g);let y=t.readSync(f.dataId),b;switch(y[0]){case 0:{b=N.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(y[1],y[2]);break}case 1:{b=N.getSparseReshapeNegativeOutputDimErrorMessage(y[1],y[2]);break}case 2:b=N.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));b=N.getSparseReshapeInputOutputMultipleErrorMessage(x,w);break}case 4:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));b=N.getSparseReshapeInputOutputMismatchErrorMessage(x,w);break}default:b=""}if(t.disposeData(f.dataId),b)throw t.disposeData(d.dataId),t.disposeData(h.dataId),new Error(b);return[d,h]}var kue={kernelName:gu,backendName:"wasm",setupFunc:vue,kernelFunc:wue},dA;function hA(e){dA=e.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function mA(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(N.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"),y=n.dataIdMap.get(g.dataId).id;dA(d,At[r.dtype],r.shape[0],c,h,f,y,t,0);let b=n.readSync(g.dataId),x;switch(b[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b[1],b[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(b[1],b[2],b[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function Iue(e){return mA(e,!0)}var Sue={kernelName:mc,backendName:"wasm",setupFunc:hA,kernelFunc:Iue};function Tue(e){return mA(e,!1)}var Nue={kernelName:fc,backendName:"wasm",setupFunc:hA,kernelFunc:Tue};function Cue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.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=fi({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var _ue={kernelName:fu,backendName:"wasm",kernelFunc:Cue},Eue=Ut(uo),Aue=Ut(gc), $ ue=!0,Fue=dn(ho, $ ue),fA;function Rue(e){fA=e.wasm.cwrap(bs,null,["number","number","number","number"])}function Due(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 fA(i,r,At[s.dtype],l),o}var Mue={kernelName:bs,backendName:"wasm",setupFunc:Rue,kernelFunc:Due},gA;function Pue(e){gA=e.wasm.cwrap(yu,null,["number","array","number","array","array","array","array","array","number","number"])}function Oue(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{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:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=Wn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { r . shape . length } ` );let T=Kt.computeOutShape(b,x,w),C=fi({inputs:{x:r},backend:t,attrs:{begin:b,size:T}});I=Wn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(
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