2021-09-08 19:51:28 +02:00
/ *
2020-12-02 22:46:41 +01:00
Face - API
homepage : < https : //github.com/vladmandic/face-api>
author : < https : //github.com/vladmandic>'
2021-09-08 19:51:28 +02:00
* /
2020-12-02 22:46:41 +01:00
2022-03-07 19:17:31 +01:00
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$ { n . shape } ` ),A(s*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
$ { s } and $ { t } for depthToSpace with input shape
$ { n . shape } ` ),A(i%(t*t)===0,()=> ` Dimension size must be evenly divisible by $ { t * t } but is $ { i } for depthToSpace with input shape $ { n . shape } ` );let a={x:n},u={blockSize:t,dataFormat:e};return _.runKernel(oa,a,u)}var Gf=N({depthToSpace_:ZH});function JH(r,t,e,n,o="NHWC",s=[1,1],i){let a=C(r,"x","depthwiseConv2d","float32"),u=C(t,"filter","depthwiseConv2d","float32"),l=a,c=!1;a.rank===3&&(c=!0,l=O(a,[1,a.shape[0],a.shape[1],a.shape[2]])),A(l.rank===4,()=> ` Error in depthwiseConv2d : input must be rank 4 , but got rank $ { l . rank } . ` ),A(u.rank===4,()=> ` Error in depthwiseConv2d : filter must be rank 4 , but got rank $ { u . rank } . ` ),A(l.shape[3]===u.shape[2],()=> ` Error in depthwiseConv2d : number of input channels ( $ { l . shape [ 3 ] } ) must match the inChannels dimension in filter $ { u . shape [ 2 ] } . ` ),ke("depthwiseConv2d",n,i);let p={x:l,filter:u},m={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},f=_.runKernel(rs,p,m);return c?O(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var qs=N({depthwiseConv2d_:JH});function QH(r){let e={x:C(r,"x","diag")};return _.runKernel(yp,e)}var tq=N({diag_:QH});function eq(r,t,e,n,o=[1,1],s="NHWC"){let i=C(r,"x","dilation2d"),a=C(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(a.rank===3,()=> ` Error in dilation2d : filter must be rank 3 , but got rank $ { a . rank } . ` ),A(s==="NHWC",()=> ` Error in dilation2d : Only NHWC is currently supported , but got dataFormat of $ { s } ` );let u=i,l=!1;i.rank===3&&(u=O(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=!0);let c={x:u,filter:a},p={strides:e,pad:n,dilations:o},m=_.runKernel(Sl,c,p);return l?O(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Wf=N({dilation2d_:eq});function rq(r,t){let e=C(r,"a","equal","string_or_numeric"),n=C(t,"b","equal","string_or_numeric");[e,n]=jt(e,n),Lt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(ia,o)}var Sr=N({equal_:rq});function nq(r,t,e){let n=C(t,"a","where"),o=C(e,"b","where"),s=C(r,"condition","where","bool"),i=Lt(Lt(s.shape,n.shape),o.shape),a=Ga(s,i),u=Ga(n,i),l=Ga(o,i),c={condition:a,t:u,e:l};return _.runKernel(Ii,c)}var Ne=N({where_:nq});function oq(r){let e={x:C(r,"x","zerosLike")};return _.runKernel(_i,e)}var St=N({zerosLike_:oq});function sq(r,t){let e=C(r,"a","div"),n=C(t,"b","div");[e,n]=jt(e,n);let o=ct(e,n),s=St(o),i=Sr(n,s);return Ne(i,s,o)}var Uf=N({divNoNan_:sq});function iq(r,t){let e=C(r,"t1","dot"),n=C(t,"t2","dot");A((e.rank===1||e.rank===2)&&(n.rank===1||n.rank===2),()=> ` Error in dot : inputs must all be rank 1 or 2 , but got ranks $ { e . rank } and $ { n . rank } . ` );let o=e.rank===1?e.size:e.shape[1],s=n.rank===1?n.size:n.shape[0];if(A(o===s,()=> ` Error in dot : inner dimensions of inputs must match , but got $ { o } and $ { s } . ` ),e.rank===1&&n.rank===1){let i=O(e,[1,-1]),a=O(n,[-1,1]),u=Mt(i,a);return O(u,[])}else if(e.rank===1&&n.rank===2){let i=O(e,[1,-1]),a=O(n,[n.shape[0],n.shape[1]]),u=Mt(i,a);return O(u,[u.size])}else if(e.rank===2&&n.rank===1){let i=O(n,[-1,1]),a=Mt(e,i);return O(a,[a.size])}else{let i=O(n,[n.shape[0],n.shape[1]]);return Mt(e,i)}}var k0=N({dot_:iq});function aq(r,...t){let e=t.map((o,s)=>C(o, ` tensors$ { s } ` ,"einsum")),n={equation:r};return _.runKernel(bp,e,n)}var N0=N({einsum_:aq});function lq(r){let e={x:C(r,"x","elu","float32")};return _.runKernel(os,e)}var Ks=N({elu_:lq});function uq(r){let t=C(r,"x","erf");A(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be ` int32 ` or ` float32 ` ."),t.dtype==="int32"&&(t=Z(t,"float32"));let e={x:t};return _.runKernel(sa,e)}var Hf=N({erf_:uq});function cq(r){let e={x:C(r,"x","exp")};return _.runKernel(ss,e)}var Xe=N({exp_:cq});function pq(r,t=0){let e=C(r,"x","expandDims","string_or_numeric");A(t<=e.rank,()=>"Axis must be <= rank of the tensor");let n={input:e},o={dim:t};return _.runKernel(xi,n,o)}var mr=N({expandDims_:pq});function mq(r){let e={x:C(r,"x","expm1")};return _.runKernel(aa,e)}var qf=N({expm1_:mq});function fq(r,t){let e=C(r,"x","tile","string_or_numeric");A(e.rank===t.length,()=> ` Error in transpose : rank of input $ { e . rank } must match length of reps $ { t } . ` );let n={x:e},o={reps:
rank $ { s . rank } . ` ),A(Ki(t),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { t } . ` );let i=s,a=!1;s.rank===3&&(a=!0,i=O(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let u={x:i},l={depthRadius:t,bias:e,alpha:n,beta:o},c=_.runKernel(Nl,u,l);return a?O(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var jf=N({localResponseNormalization_:Nq});function Tq(r){let e={x:C(r,"x","log","float32")};return _.runKernel(ps,e)}var wr=N({log_:Tq});function _q(r){let e={x:C(r,"x","log1p")};return _.runKernel(ga,e)}var Ha=N({log1p_:_q});function Eq(r){return A(mi(r),()=>"The f passed in grad(f) must be a function"),(t,e)=>{let n=C(t,"x","tf.grad","string_or_numeric"),o=e!=null?C(e,"dy","tf.grad"):null;return _.tidy(()=>{let{value:s,grads:i}=_.gradients(()=>r(n),[n],o);return o!=null&&Oe(s.shape,o.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),wx(i),i[0]})}}function Aq(r){return A(mi(r),()=>"The f passed in grads(f) must be a function"),(t,e)=>{A(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of ` Tensor ` s or ` TensorLike ` s");let n=Oa(t,"args","tf.grads","string_or_numeric"),o=e!=null?C(e,"dy","tf.grads"):null;return _.tidy(()=>{let{value:s,grads:i}=_.gradients(()=>r(...n),n,o);return o!=null&&Oe(s.shape,o.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),wx(i),i})}}function Dq(r){return A(mi(r),()=>"The f passed in valueAndGrad(f) must be a function"),(t,e)=>{A(t instanceof Bt,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),A(e==null||e instanceof Bt,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:n,value:o}=_.gradients(()=>r(t),[t],e);return wx(n),{grad:n[0],value:o}}}function $ q(r){return A(mi(r),()=>"The f passed in valueAndGrads(f) must be a function"),(t,e)=>{A(Array.isArray(t)&&t.every(o=>o instanceof Bt),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),A(e==null||e instanceof Bt,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let n=_.gradients(()=>r(...t),t,e);return e!=null&&Oe(n.value.shape,e.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),wx(n.grads),n}}function bx(r,t){A(mi(r),()=>"The f passed in variableGrads(f) must be a function"),A(t==null||Array.isArray(t)&&t.every(l=>l instanceof Ml),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let e=t!=null;if(!e){t=[];for(let l in _.registeredVariables)t.push(_.registeredVariables[l])}let n=e?t.filter(l=>!l.trainable):null,o=t.length;t=t.filter(l=>l.trainable),A(t.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { o } variables is trainable . ` );let s=!0,{value:i,grads:a}=_.gradients(r,t,null,s);A(a.some(l=>l!=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 u={};return t.forEach((l,c)=>{a[c]!=null&&(u[l.name]=a[c])}),n!=null&&n.forEach(l=>u[l.name]=null),{value:i,grads:u}}function un(r){return _.customGrad(r)}function wx(r){if(r.filter(e=>e==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 Rq(r){let e={x:C(r,"x","neg")};return _.runKernel(bi,e)}var Yt=N({neg_:Rq});function Fq(r){let e={x:C(r,"x","softplus")};return _.runKernel(Ea,e)}var ho=N({softplus_:Fq});function Oq(r){let t=C(r,"x","logSigmoid");return un(n=>({value:Yt(ho(Yt(n))),gradFunc:i=>P(i,Lr(Yt(n)))}))(t)}var A0=N({logSigmoid_:Oq});function Pq(r,t=null,e=!1){let o={x:C(r,"x","max")},s={reductionIndices:t,keepDims:e};return _.runKernel(ms,o,s)}var $ r=N({max_:Pq});function Mq(r,t){let e=C(r,"a","sub"),n=C(t,"b","sub");[e,n]=jt(e,n);let o={a:e,b:n};return _.runKernel(Ps,o)}var lt=N({sub_:Mq});function Lq(r,t=null,e=!1){let n=C(r,"x","sum");n.dtype==="bool"&&(n=Z(n,"int32"));let o={x:n},s={axis:t,keepDims:e};return _.runKernel(Rs,o,s)}var mt=N({sum_:Lq});function zq(r,t=-1){let e=C(r,"logits","logSoftmax");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error( ` Log Softmax along a non - last dimension is not yet supported . Logits was rank $ { e . rank } and axis was $ { t } ` );return un((o,s)=>{let a= $ r(o,t,!0),u=lt(o,a),l=lt(Z(u,"float32"),wr(mt(Xe(u),t,!0)));return s([l]),{value:l,gradFunc:(p,m)=>{let[f]=m,d=!0,h=Xe(f);return lt(p,P(mt(p,t,d),h))}}})(e)}var Vu=N({logSoftmax_:zq});function D0(r,t){for(let e=0;e<r.length;++e)if(r[r.length-e-1]!==t-1-e)return!1;return!0}function I_(r,t,e){let n=r.length+t.length,o=[],s=0,i=0;for(let a=0;a<n;a++)e.indexOf(a)===-1?o.push(r[s++]):o.push(t[i++]);return o}function $ 0(r,t){let e=[],n=r.length;for(let s=0;s<n;s++)t.indexOf(s)===-1&&e.push(r[s]);let o=t.map(s=>r[s]);return[e,o]}function go(r,t){let e=t.map(n=>1);return I_(r,e,t)}function Bq(r,t,e){A(D0(t,e),()=> ` $ { r } supports only inner - most axes for now . Got axes $ { t } and rank - $ { e } input . ` )}function R0(r,t){if(D0(r,t))return null;let e=[];for(let n=0;n<t;++n)r.indexOf(n)===-1&&e.push(n);return r.forEach(n=>e.push(n)),e}function Xf(r){return r.map((t,e)=>[e,t]).sort((t,e)=>t[1]-e[1]).map(t=>t[0])}function Vq(r,t){let e=[];for(let n=t-r;n<t;++n)e.push(n);return e}function Gq(r,t=null,e=!1){let n=C(r,"x","logSumExp"),o=pr(t,n.shape),s= $ r(n,o,!0),i=lt(n,s),a=Xe(i),u=mt(a,o),l=wr(u),c=J(O(s,l.shape),l);if(e){let p=go(c.shape,o);return O(c,p)}return c}var Yf=N({logSumExp_:Gq});function Wq(r,t){let e=C(r,"a","logicalAnd","bool"),n=C(t,"b","logicalAnd","bool");Lt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(xa,o)}var Nr=N({logicalAnd_:Wq});function Uq(r){let e={x:C(r,"x","logicalNot","bool")};return _.runKernel(bu,e)}var qa=N({logicalNot_:Uq});function Hq(r,t){let e=C(r,"a","logicalOr","bool"),n=C(t,"b","logicalOr","bool");Lt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(wu,o)}var Gu=N({logicalOr_:Hq});function qq(r,t){let e=C(r,"a","logicalXor","bool"),n=C(t,"b","logicalXor","bool");return Lt(e.shape,n.shape),Nr(Gu(r,t),qa(Nr(r,t)))}var O0=N({logicalXor_:qq});function Kq(r,t,e,n,o){let s=C(r,"x","maxPool"),i=1,a=s,u=!1;s.rank===3&&(u=!0,a=O(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(a.rank===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { a . rank } . ` ),A(Dr(e,i),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { e } and dilations '${i}' ` ),ke("maxPool",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=_.runKernel(ds,l,c);return u?O(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Ka=N({maxPool_:Kq});function jq(r,t=[1,1,1],e,n,o,s="NDHWC"){let i=C(r,"x","maxPool3d"),a=i,u=!1;i.rank===4&&(u=!0,a=O(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(a.rank===5,()=> ` Error in maxPool3d : x must be rank 5 but got rank $ { a . rank } . ` ),A(s==="NDHWC",()=> ` Error in maxPool3d : Only NDHWC is currently supported , but got dataFormat of $ { s } ` ),ke("maxPool3d",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=_.runKernel(Tl,l,c);return u?O(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var Zf=N({maxPool3d_:jq});function Xq(r,t,e,n,o=!1){let i={x:C(r,"x","maxPoolWithArgmax")},a={filterSize:t,strides:e,pad:n,includeBatchInIndex:o},u=_.runKernel(_p,i,a);return{result:u[0],indexes:u[1]}}var P0=N({maxPoolWithArgmax_:Xq});functio
$ { o . 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(a.rank!==0)throw new Error( ` Default value should be a scalar but received shape $ { a . shape } ` );let u={indices:o,values:s,denseShape:i,defaultValue:a},l=_.runKernel(Al,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}var CE=N({sparseFillEmptyRows_: $ 6});function R6(r,t,e){let n=C(r,"inputIndices","sparseReshape","int32"),o=C(t,"inputShape","sparseReshape","int32"),s=C(e,"newShape","sparseReshape","int32");if(n.rank!==2)throw new Error( ` Input indices should be Tensor2D but received shape
$ { n . shape } ` );if(o.rank!==1)throw new Error( ` Input shape should be Tensor1D but received shape $ { o . shape } ` );if(s.rank!==1)throw new Error( ` New shape should be Tensor1D but received shape $ { s . shape } ` );let i={inputIndices:n,inputShape:o,newShape:s},a=_.runKernel(Aa,i);return{outputIndices:a[0],outputShape:a[1]}}var IE=N({sparseReshape_:R6});function F6(r,t,e){let n=C(r,"data","sparseSegmentMean"),o=C(t,"indices","sparseSegmentMean","int32"),s=C(e,"segmentIds","sparseSegmentMean","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
$ { o . shape } ` );if(s.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
$ { s . shape } ` );let i={data:n,indices:o,segmentIds:s};return _.runKernel(Dl,i)}var SE=N({sparseSegmentMean_:F6});function O6(r,t,e){let n=C(r,"data","sparseSegmentSum"),o=C(t,"indices","sparseSegmentSum","int32"),s=C(e,"segmentIds","sparseSegmentSum","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
$ { o . shape } ` );if(s.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
$ { s . shape } ` );let i={data:n,indices:o,segmentIds:s};return _.runKernel( $ l,i)}var kE=N({sparseSegmentSum_:O6});function P6(r,t,e,n,o,s,i,a){let u=C(r,"data","stringNGrams","string");if(u.dtype!=="string")throw new Error("Data must be of datatype string");if(u.shape.length!==1)throw new Error( ` Data must be a vector , saw : $ { u . shape } ` );let l=C(t,"dataSplits","stringNGrams");if(l.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:e,nGramWidths:n,leftPad:o,rightPad:s,padWidth:i,preserveShortSequences:a},p={data:u,dataSplits:l},m=_.runKernel(Fp,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var NE=N({stringNGrams_:P6});function M6(r,t,e=!0){let n=C(r,"input","stringSplit","string"),o=C(t,"delimiter","stringSplit","string");if(n.rank!==1)throw new Error( ` Input should be Tensor1D but received shape $ { n . shape } ` );if(o.rank!==0)throw new Error( ` Delimiter should be a scalar but received shape $ { o . shape } ` );let s={skipEmpty:e},i={input:n,delimiter:o},a=_.runKernel(Op,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var TE=N({stringSplit_:M6});function L6(r,t){let e=C(r,"input","stringToHashBucketFast","string"),n={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let o={input:e};return _.runKernel(Pp,o,n)}var _E=N({stringToHashBucketFast_:L6});var ORt={fft:Ja,ifft:Fi,rfft:Qa,irfft:Zu},BRt={hammingWindow:j_,hannWindow:Ax,frame:Dx,stft:X_},Nn={flipLeftRight:Z_,grayscaleToRGB:J_,resizeNearestNeighbor:Px,resizeBilinear:Ox,rotateWithOffset:Q_,cropAndResize:Y_,nonMaxSuppression:tE,nonMaxSuppressionAsync:nE,nonMaxSuppressionWithScore:oE,nonMaxSuppressionWithScoreAsync:sE,nonMaxSuppressionPadded:iE,nonMaxSuppressionPaddedAsync:aE,threshold:lE,transform:uE},EE={bandPart:cE,gramSchmidt:pE,qr:fE},fFt={absoluteDifference:dE,computeWeightedLoss:Br,cosineDistance:hE,hingeLoss:gE,huberLoss:xE,logLoss:yE,meanSquaredError:bE,sigmoidCrossEntropy:wE,softmaxCrossEntropy:vE},cd={sparseFillEmptyRows:CE,sparseReshape:IE,sparseSegmentMean:SE,sparseSegmentSum:kE},Mx={stringNGrams:NE,stringSplit:TE,stringToHashBucketFast:_E};var jr=class extends hx{minimize(t,e=!1,n){let{value:o,grads:s}=this.computeGradients(t,n);if(n!=null){let i=n.map(a=>({name:a.name,tensor:s[a.name]}));this.applyGradients(i)}else this.applyGradients(s);return _t(s),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return bx(t,e)}dispose(){this.iterations_!=null&&_t(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:pt(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(t){throw new Error( ` setWeights ( ) is not implemented for this optimizer class $ { this . getClassName ( ) } ` )}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(jr,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var oc=class extends jr{constructor(t,e,n=null){super();this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=_.backend.epsilon())}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=_.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName: ` $ { n } / accum _grad ` ,variable:B(()=>St(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName: ` $ { n } / accum _var ` ,variable:B(()=>St(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;B(()=>{let c=J(P(u,this.rho),P(Gt(a),1-this.rho)),p=P(ct(be(J(l,this.epsilon)),be(J(u,this.epsilon))),a),m=J(P(l,this.rho),P(Gt(p),1-this.rho));u.assign(c),l.assign(m);let f=J(P(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accu
indices . shape [ 0 ] = $ { r } ` }function y5(r,t){return ` indices ( $ { r } , 0 ) is invalid : $ { t } < 0 ` }function b5(r,t,e){return ` indices ( $ { r } , 0 ) is invalid : $ { t } >= $ { e } ` }function w5(r,t){return ` only one output dimension may be - 1 , not both $ { r } and $ { t } ` }function v5(r,t){return ` size $ { r } must be non - negative , not $ { t } ` }function C5(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function I5(r,t){let e=re(r),n=re(t);return ` Input to reshape is a SparseTensor with $ { e }
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=== === === === === === === === === =
Hi there \ u { 1 F44B } . Looks like you are running TensorFlow . js in Node . js . To speed things up dramatically , install our node backend , which binds to TensorFlow C ++ , by running npm i @ tensorflow / tfjs - node , or npm i @ tensorflow / tfjs - node - gpu if you have CUDA . Then call require ( '@tensorflow/tfjs-node' ) ; ( - gpu suffix for CUDA ) at the start of your program . Visit https : //github.com/tensorflow/tfjs-node for more details.
=== === === === === === === === === = ` ));let o={id:this.nextDataId()};return this.data.set(o,{values:t,dtype:n,refCount:1}),o}makeTensorInfo(t,e,n){let o;if(e==="string"&&n!=null&&n.length>0&&x.isString(n[0])){let s=n.map(i=>x.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return{dataId:o,shape:t,dtype:e}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){let e=this.data.get(t);e.refCount++}decRef(t){if(this.data.has(t)){let e=this.data.get(t);e.refCount--}}move(t,e,n,o,s){this.data.set(t,{values:e,dtype:o,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){let{dtype:e,complexTensorInfos:n}=this.data.get(t);if(e==="complex64"){let o=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return k.mergeRealAndImagArrays(o,s)}return this.data.get(t).values}bufferSync(t){let e=this.readSync(t.dataId),n=e;if(t.dtype==="string")try{n=e.map(o=>x.decodeString(o))}catch(o){throw new Error("Failed to decode encoded string bytes into utf-8")}return It(t.shape,t.dtype,n)}makeOutput(t,e,n){let o=this.write(t,e,n);return po().makeTensorFromDataId(o,e,n,this)}disposeData(t,e=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!e&&this.data.get(t).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(t);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){let e=x.now();return t(),{kernelMs:x.now()-e}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(t){ot([t],"where");let e=this.readSync(t.dataId);return iZ(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Ic.nextDataId=0;var Qy={};Xt(Qy,{addImpl:()=>QI,bincountImpl:()=>Om,bincountReduceImpl:()=>zy,ceilImpl:()=>tS,concatImpl:()=>Sc,equalImpl:()=>eS,expImpl:()=>nS,expm1Impl:()=>sS,floorImpl:()=>iS,gatherNdImpl:()=>By,gatherV2Impl:()=>Vy,greaterEqualImpl:()=>lS,greaterImpl:()=>aS,lessEqualImpl:()=>cS,lessImpl:()=>uS,linSpaceImpl:()=>Gy,logImpl:()=>pS,maxImpl:()=>Wy,maximumImpl:()=>mS,minimumImpl:()=>fS,multiplyImpl:()=>qh,negImpl:()=>dS,notEqualImpl:()=>hS,prodImpl:()=>gS,rangeImpl:()=>Nc,rsqrtImpl:()=>xS,sigmoidImpl:()=>zR,simpleAbsImpl:()=>JI,sliceImpl:()=>Tc,sparseFillEmptyRowsImpl:()=>Uy,sparseReshapeImpl:()=>Hy,sparseSegmentReductionImpl:()=>Mm,sqrtImpl:()=>GR,squaredDifferenceImpl:()=>bS,stridedSliceImpl:()=>qy,stringNGramsImpl:()=>Ky,stringSplitImpl:()=>jy,stringToHashBucketFastImpl:()=>Xy,subImpl:()=>wS,tileImpl:()=>Yy,topKImpl:()=>Zy,transposeImpl:()=>Pm,uniqueImpl:()=>Jy});function JI(r){let t=new Float32Array(r.length);for(let e=0;e<r.length;++e)t[e]=Math.abs(r[e]);return t}var aZ=r=>{let{x:t}=r.inputs,e=r.backend;ot(t,"abs");let n=new Float32Array(x.sizeFromShape(t.shape)),o=e.data.get(t.dataId).values;return n=JI(o),e.makeOutput(n,t.shape,t.dtype)},hR={kernelName:di,backendName:"cpu",kernelFunc:aZ};function te(r){return(t,e,n,o,s)=>{let i=k.assertAndGetBroadcastShape(t,e),a=i.length,u=x.computeStrides(i),l=x.sizeFromShape(i),c=x.getTypedArrayFromDType(s,l),p=t.length,m=e.length,f=x.computeStrides(t),d=x.computeStrides(e),h=k.getBroadcastDims(t,i),g=k.getBroadcastDims(e,i);if(h.length+g.length===0)for(let y=0;y<c.length;++y)c[y]=r(n[y%n.length],o[y%o.length]);else for(let y=0;y<c.length;++y){let b=x.indexToLoc(y,a,u),w=b.slice(-p);h.forEach(D=>w[D]=0);let v=x.locToIndex(w,p,f),I=b.slice(-m);g.forEach(D=>I[D]=0);let E=x.locToIndex(I,m,d);c[y]=r(n[v],o[E])}return[c,i]}}function Ir(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(n.shape,"complex64"),u=e.data.get(a.dataId);return u.complexTensorInfos={real:e.makeTensorInfo(n.shape,"float32",s),imag:e.makeTensorInfo(o.shape,"float32",i)},a}var gR={kernelName:pp,backendName:"cpu",kernelFunc:Ir};function Rm(r,t,e="float32"){if(e==="complex64"){let o=Rm(r,t,"float32"),s=Rm(r,t,"float32")
$ { s . shape } ` );if(n.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { o . shape } ` );if(i.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
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$ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape
$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let i=Array.from(e.data.get(o.dataId).values),a=e.data.get(n.dataId).values,u=Array.from(e.data.get(s.dataId).values),[l,c,p]=Hy(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var oP={kernelName:Aa,backendName:"cpu",kernelFunc:FJ};function OJ(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
$ { s . shape } ` );if(o.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=Mm(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var sP={kernelName:Dl,backendName:"cpu",kernelFunc:OJ};function PJ(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
$ { s . shape } ` );if(o.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=Mm(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var iP={kernelName: $ l,backendName:"cpu",kernelFunc:PJ};function MJ(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=k.calculateShapes(s,o,a),f=!1,d=e.bufferSync(o),h=e.bufferSync(s),g=e.data.get(i.dataId).values[0],y=ob(d,h,a,m,c,l,u,p,g,f);return e.makeTensorInfo(a,y.dtype,y.values)}var aP={kernelName:Rp,backendName:"cpu",kernelFunc:MJ};function LJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=x.parseAxisParam(i,o.shape)[0],u=k.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Do({inputs:{x:o},backend:e,attrs:{begin:l,size:m}});return l[a]+=p,f})}var lP={kernelName:Ni,backendName:"cpu",kernelFunc:LJ};var uP={kernelName:Rl,backendName:"cpu",kernelFunc:({inputs:r,backend:t})=>{let{x:e}=r,n=t;ot(e,"square");let o=n.data.get(e.dataId).values,s=new Float32Array(o.length);for(let a=0;a<o.length;++a){let u=o[a];s[a]=u*u}return{dataId:n.write(s,e.shape,e.dtype),shape:e.shape,dtype:e.dtype}}};var zJ=Et(io,(r,t)=>{let e=t;return isNaN(r)?NaN:r>0?1:e.alpha}),cP={kernelName:io,backendName:"cpu",kernelFunc:zJ};function BJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n;ot(o,"stridedSlice");let{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:y,begin:b,end:w,strides:v}=Ve.sliceInfo(o.shape,s,i,a,u,l,c,p,m),I;if(h)I=ne({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||y){x.assert(o.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { o . shape . length } ` );let E=Ve.computeOutShape(b,w,v),D=Do({inputs:{x:o},backend:e,attrs:{begin:b,size:E}});I=ne({inputs:{x:D},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo(D)}else{let E=e.bufferSync(o),D=qy(f,E,v,b);I=e.makeTensorInfo(d,D.dtype,D.values)}return I}var pP={kernelName:Da,backendName:"cpu",kernelFunc:BJ};function VJ(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.data.get(c.dataId).values,f=e.data.get(p.dataId).values,[d,h]=Ky(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var mP={kernelName:Fp,backendName:"cpu",kernelFunc:VJ};function GJ(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{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 a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values[0],[l,c,p]=jy(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],"int32",l),e.makeTensorInfo([m],"string",c),e.makeTensorInfo([2],"int32",new Int32Array(p))]}var fP={kernelName:Op,backendName:"cpu",kernelFunc:GJ};function WJ(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");let i=e.data.get(s.dataId).values,a=Xy(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var dP={kernelName:Pp,backendName:"cpu",kernelFunc:WJ};var UJ=Et(Ms,r=>Math.tan(r)),hP={kernelName:Ms,backendName:"cpu",kernelFunc:UJ};var HJ=Et(Ls,r=>Math.tanh(r)),gP={kernelName:Ls,backendName:"cpu",kernelFunc:HJ};function qJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reps:s}=n;ot(o,"tile");let i=Yy(e.bufferSync(o),s);return e.makeTensorInfo(i.shape,i.dtype,i.values)}var xP={kernelName:jn,backendName:"cpu",kernelFunc:qJ};function KJ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted
` ),s=o.length.toString().length+2,i=o.map((p,m)=>x.rightPad((m+1).toString(),s)+p),a=0;for(let p=0;p<i.length;p++)a=Math.max(i[p].length,a);let u=i.slice(0,n-1),l=i.slice(n-1,n),c=i.slice(n);console.log(u.join( `
` )),console.log(t.split( `
` )[0]),console.log( ` % c $ { x . rightPad ( l [ 0 ] , a ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(c.join( `
` ))}function BS(r){return ul(r,()=>r.createProgram(),"Unable to create WebGLProgram.")}function VS(r,t){if(vt(r,()=>r.linkProgram(t)),r.getProgramParameter(t,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function rg(r,t){if(vt(r,()=>r.validateProgram(t)),r.getProgramParameter(t,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function GS(r,t){let e=ul(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return vt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),vt(r,()=>r.bufferData(r.ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function WS(r,t){let e=ul(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return vt(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,e)),vt(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function mQ(){return G().getNumber("WEBGL_VERSION")===2?1:4}function US(r){return ul(r,()=>r.createTexture(),"Unable to create WebGLTexture.")}function HS(r,t){let e=G().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(r<=0||t<=0){let n= ` [ $ { r } x$ { t } ] ` ;throw new Error("Requested texture size "+n+" is invalid.")}if(r>e||t>e){let n= ` [ $ { r } x$ { t } ] ` ,o= ` [ $ { e } x$ { e } ] ` ;throw new Error("Requested texture size "+n+" greater than WebGL maximum on this browser / GPU "+o+".")}}function qS(r){return ul(r,()=>r.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function lb(r,t,e,n,o,s,i){let a=r.getAttribLocation(t,e);return a===-1?!1:(vt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,n)),vt(r,()=>r.vertexAttribPointer(a,o,r.FLOAT,!1,s,i)),vt(r,()=>r.enableVertexAttribArray(a)),!0)}function TP(r,t,e){EP(r,e),vt(r,()=>r.activeTexture(r.TEXTURE0+e)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,t))}function fQ(r,t){EP(r,t),vt(r,()=>r.activeTexture(r.TEXTURE0+t)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function KS(r,t,e){return ul(r,()=>r.getUniformLocation(t,e),'uniform "'+e+'" not present in program.')}function jS(r,t,e){return r.getUniformLocation(t,e)}function XS(r,t,e,n){vt(r,()=>TP(r,t,n)),vt(r,()=>r.uniform1i(e,n))}function dQ(r){vt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),vt(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),vt(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function ng(r,t,e){vt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),vt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0))}function ub(r,t){vt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),vt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function Gm(r){let t=r.checkFramebufferStatus(r.FRAMEBUFFER);if(t!==r.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+_P(r,t))}function _P(r,t){switch(t){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case r.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return ` unknown error $ { t } ` }}function ul(r,t,e){let n=vt(r,()=>t());if(n==null)throw new Error(e);return n}function EP(r,t){let e=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+r.TEXTURE0;if(n<r.TEXTURE0||n>e){let o= ` [ gl . TEXTURE0 , gl . TEXTURE$ { e } ] ` ;throw new Error( ` textureUnit must be in $ { o } . ` )}}function cl(r,t=2){return x.sizeFromShape(r.slice(0,r.length-t))}function pl(r){if(r.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function og(r){let t=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(t=[cl(r),...pl(r)]),t}function YS(r,t=!1){let e=G().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(e=e*2,r=r.map((o,s)=>s>=r.length-2?x.nearestLargerEven(r[s]):r[s]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=x.squeezeShape(r).newShape);let n=x.sizeFromShape(r);if(r.length<=1&&n<=e)return[1,n];if(r.length===2&&r[0]<=e&&r[1]<=e)return r;if(r.length===3&&r[0]*r[1]<=e&&r[2]<=e)return[r[0]*r[1],r[2]];if(r.length===3&&r[0]<=e&&r[1]*r[2]<=e)return[r[0],r[1]*r[2]];if(r.length===4&&r[0]*r[1]
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 )
` ,u="",l= `
# 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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` ):(r="",t="attribute",e="varying",n="varying",o="texture2D",s="gl_FragColor",i="",a= `
# 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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` ,u= `
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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` ,l= `
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:r,attribute:t,varyingVs:e,varyingFs:n,texture2D:o,output:s,defineOutput:i,defineSpecialNaN:a,defineSpecialInf:u,defineRound:l}}function li(r,t,e="index"){let n=x.computeStrides(t);return n.map((o,s)=>{let i= ` int $ { r [ s ] } = $ { e } / $ { o } ` ,a=s===n.length-1? ` int $ { r [ s + 1 ] } = $ { e } - $ { r [ s ] } * $ { o } ` : ` index -= $ { r [ s ] } * $ { o } ` ;return ` $ { i } ; $ { a } ; ` }).join("")}function Ac(r,t,e="index"){let n=x.computeStrides(t);return n.map((o,s)=>{let i= ` int $ { r [ s ] } = $ { e } / outShapeStrides [ $ { s } ] ` ,a=s===n.length-1? ` int $ { r [ s + 1 ] } = $ { e } - $ { r [ s ] } * outShapeStrides [ $ { s } ] ` : ` index -= $ { r [ s ] } * outShapeStrides [ $ { s } ] ` ;return ` $ { i } ; $ { a } ; ` }).join("")}function yQ(r,t){let e=r.length,n=r.map(s=> ` $ { t } [ $ { s } ] ` ),o=new Array(e-1);o[e-2]=n[e-1];for(let s=e-3;s>=0;--s)o[s]= ` ( $ { o [ s + 1 ] } * $ { n [ s + 1 ] } ) ` ;return o}function AP(r,t,e="index"){let n=r.map((s,i)=>i),o=yQ(n,t);return o.map((s,i)=>{let a= ` int $ { r [ i ] } = $ { e } / $ { o [ i ] } ` ,u=i===o.length-1? ` int $ { r [ i + 1 ] } = $ { e } - $ { r [ i ] } * $ { o [ i ] } ` : ` index -= $ { r [ i ] } * $ { o [ i ] } ` ;return ` $ { a } ; $ { u } ; ` }).join("")}function Um(r){let t=x.computeStrides(r).map(e=>e.toString());return `
int getFlatIndex ( ivec3 coords ) {
return coords . x * $ { t [ 0 ] } + coords . y * $ { t [ 1 ] } + coords . z ;
}
` }function Hm(){return `
int getFlatIndex ( ivec3 coords ) {
return coords . x * outShapeStrides [ 0 ] + coords . y * outShapeStrides [ 1 ] + coords . z ;
}
` }var pb= `
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 ;
}
` ;var{getBroadcastDims:DP}=k;function $ P(r,t,e){let n=[];if(r.forEach(f=>{let d=x.sizeFromShape(f.shapeInfo.logicalShape);if(f.shapeInfo.isUniform?n.push( ` uniform float $ { f . name } $ { d > 1 ? ` [ ${ d } ] ` : "" } ; ` ):(n.push( ` uniform sampler2D $ { f . name } ; ` ),n.push( ` uniform int offset$ { f . name } ; ` )),e.enableShapeUniforms){let{uniformShape:h}=mb(e.packedInputs,f.shapeInfo.logicalShape,f.shapeInfo.texShape);switch(h.length){case 1:n.push( ` uniform int $ { f . name } Shape ; ` );break;case 2:n.push( ` uniform ivec2 $ { f . name } Shape ; ` );break;case 3:n.push( ` uniform ivec3 $ { f . name } Shape ; ` );break;case 4:n.push( ` uniform ivec4 $ { f . name } Shape ; ` );break;default:break}n.push( ` uniform ivec2 $ { f . name } TexShape ; ` )}}),e.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push("uniform int outShape;");break;case 2:n.push("uniform ivec2 outShape;"),n.push("uniform int outShapeStrides;");break;case 3:n.push("uniform ivec3 outShape;"),n.push("uniform ivec2 outShapeStrides;");break;case 4:n.push("uniform ivec4 outShape;"),n.push("uniform ivec3 outShapeStrides;");break;default:break}n.push("uniform ivec2 outTexShape;")}e.customUniforms&&e.customUniforms.forEach(f=>{n.push( ` uniform $ { f . type } $ { f . name } $ { f . arrayIndex ? ` [ ${ f . arrayIndex } ] ` : "" } ; ` )});let o=n.join( `
` ),s=r.map(f=>bQ(f,t,e.packedInputs,e.enableShapeUniforms)).join( `
` ),i=t.texShape,a=He(),u=CQ(a),l,c,p=kQ(a);return t.isPacked?(l=wQ(t.logicalShape,i,e.enableShapeUniforms),c=SQ(a)):(l=vQ(t.logicalShape,i,e.enableShapeUniforms),c=IQ(a)),e.packedInputs&&(p+=EQ),[p,u,c,o,l,s,e.userCode].join( `
` )}function Km(r,t=!1){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return VQ(r,t);case 1:return WQ(r,t);case 2:return HQ(r,t);case 3:return KQ(r,t);case 4:return XQ(r,t);case 5:return YQ(r);case 6:return ZQ(r);default:throw new Error( ` $ { e . length } - D input sampling is not yet supported ` )}}function RP(r,t){switch(r.shapeInfo.logicalShape.length){case 0:return BQ(r);case 1:return GQ(r,t);case 2:return UQ(r,t);case 3:return qQ(r,t);default:return jQ(r,t)}}function bQ(r,t,e=!1,n){let o="";e?o+=RP(r,n):o+=Km(r,n);let s=r.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(e?o+=JQ(r,t):o+=QQ(r,t)),o}function wQ(r,t,e){switch(r.length){case 0:return FP();case 1:return AQ(r,t,e);case 2:return LQ(r,t,e);case 3:return $ Q(r,t,e);default:return FQ(r,t,e)}}function vQ(r,t,e){switch(r.length){case 0:return FP();case 1:return DQ(r,t,e);case 2:return zQ(r,t,e);case 3:return RQ(r,t,e);case 4:return OQ(r,t,e);case 5:return PQ(r,t);case 6:return MQ(r,t);default:throw new Error( ` $ { r . length } - D output sampling is not yet supported ` )}}function CQ(r){return `
float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
return $ { r . texture2D } ( textureSampler , uv ) . r ;
}
` }function IQ(r){return `
void setOutput ( float val ) {
$ { r . output } = vec4 ( val , 0 , 0 , 0 ) ;
}
` }function SQ(r){return `
void setOutput ( vec4 val ) {
$ { r . output } = val ;
}
` }function kQ(r){return ` $ { r . version }
precision highp float ;
precision highp int ;
precision highp sampler2D ;
$ { r . varyingFs } vec2 resultUV ;
$ { r . 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 ;
$ { r . defineSpecialNaN }
$ { r . defineSpecialInf }
$ { r . 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 ;
}
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//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
# define HASHSCALE1 443.8975
float random ( float seed ) {
vec2 p = resultUV * seed ;
vec3 p3 = fract ( vec3 ( p . xyx ) * HASHSCALE1 ) ;
p3 += dot ( p3 , p3 . yzx + 19.19 ) ;
return fract ( ( p3 . x + p3 . y ) * p3 . z ) ;
}
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$ { NQ }
$ { TQ }
$ { _Q }
` }var NQ= `
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 ) ;
}
` ,TQ= `
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 ) ;
}
` ,_Q= `
vec2 packedUVfrom3D ( int texNumR , int texNumC ,
int texelsInBatch , int texelsInLogicalRow , int b ,
int row , int col ) {
int index = b * texelsInBatch + ( row / 2 ) * texelsInLogicalRow + ( col / 2 ) ;
int texR = index / texNumC ;
int texC = index - texR * texNumC ;
return ( vec2 ( texC , texR ) + halfCR ) / vec2 ( texNumC , texNumR ) ;
}
` ,EQ= `
float getChannel ( vec4 frag , vec2 innerDims ) {
vec2 modCoord = mod ( innerDims , 2. ) ;
return modCoord . x == 0. ?
( modCoord . y == 0. ? frag . r : frag . g ) :
( modCoord . y == 0. ? frag . b : frag . a ) ;
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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 FP(){return `
int getOutputCoords ( ) {
return 0 ;
}
` }function AQ(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?e? `
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 * $ { n [ 1 ] } . 0 ) ;
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}
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` :n[1]===1?e? `
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 * $ { n [ 0 ] } . 0 ) ;
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}
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` :e? `
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 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
return 2 * ( resTexRC . x * $ { n [ 1 ] } + resTexRC . y ) ;
}
` }function DQ(r,t,e){return t[0]===1?e? `
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?e? `
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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` :e? `
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 ;
}
` }function $ Q(r,t,e){if(e)return `
ivec3 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
int texelsInLogicalRow = int ( ceil ( float ( outShape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatch = texelsInLogicalRow * int ( ceil ( float ( outShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
int index = resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ;
int b = index / texelsInBatch ;
index -= b * texelsInBatch ;
int r = 2 * ( index / texelsInLogicalRow ) ;
int c = imod ( index , texelsInLogicalRow ) * 2 ;
return ivec3 ( b , r , c ) ;
}
` ;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[2]/2),s=o*Math.ceil(r[1]/2);return `
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
int b = index / $ { s } ;
index -= b * $ { s } ;
int r = 2 * ( index / $ { o } ) ;
int c = imod ( index , $ { o } ) * 2 ;
return ivec3 ( b , r , c ) ;
}
` }function RQ(r,t,e){if(e)return `
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
$ { Ac ( [ "r" , "c" , "d" ] , r ) }
return ivec3 ( r , c , d ) ;
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}
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` ;let n=li(["r","c","d"],r);return `
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
return ivec3 ( r , c , d ) ;
}
` }function FQ(r,t,e){if(e)return `
ivec4 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
int index = resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ;
int texelsInLogicalRow = int ( ceil ( float ( outShape [ 3 ] ) / 2.0 ) ) ;
int texelsInBatch = texelsInLogicalRow * int ( ceil ( float ( outShape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatchN = texelsInBatch * outShape [ 1 ] ;
int b2 = index / texelsInBatchN ;
index -= b2 * texelsInBatchN ;
int b = index / texelsInBatch ;
index -= b * texelsInBatch ;
int r = 2 * ( index / texelsInLogicalRow ) ;
int c = imod ( index , texelsInLogicalRow ) * 2 ;
return ivec4 ( b2 , b , r , c ) ;
}
` ;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[r.length-1]/2),s=o*Math.ceil(r[r.length-2]/2),i=s,a="",u="b, r, c";for(let l=2;l<r.length-1;l++)i*=r[r.length-l-1],a= `
int b$ { l } = index / $ { i } ;
index -= b$ { l } * $ { i } ;
` +a,u= ` b$ { l } , ` +u;return `
ivec$ { r . length } getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
$ { a }
int b = index / $ { s } ;
index -= b * $ { s } ;
int r = 2 * ( index / $ { o } ) ;
int c = imod ( index , $ { o } ) * 2 ;
return ivec$ { r . length } ( $ { u } ) ;
}
` }function OQ(r,t,e){if(e)return `
ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
$ { Ac ( [ "r" , "c" , "d" , "d2" ] , r ) }
return ivec4 ( r , c , d , d2 ) ;
}
` ;let n=li(["r","c","d","d2"],r);return `
ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
return ivec4 ( r , c , d , d2 ) ;
}
` }function PQ(r,t){let e=li(["r","c","d","d2","d3"],r);return `
ivec5 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } ,
$ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { e }
ivec5 outShape = ivec5 ( r , c , d , d2 , d3 ) ;
return outShape ;
}
` }function MQ(r,t){let e=li(["r","c","d","d2","d3","d4"],r);return `
ivec6 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { e }
ivec6 result = ivec6 ( r , c , d , d2 , d3 , d4 ) ;
return result ;
}
` }function LQ(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(x.arraysEqual(r,t))return e? `
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 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
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}
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` ;let o=Math.ceil(r[1]/2);return e? `
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 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
int r = 2 * ( index / $ { o } ) ;
int c = imod ( index , $ { o } ) * 2 ;
return ivec2 ( r , c ) ;
}
` }function zQ(r,t,e){return x.arraysEqual(r,t)?e? `
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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` :r[1]===1?e? `
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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` :r[0]===1?e? `
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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` :e? `
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 / $ { r [ 1 ] } ;
int c = index - r * $ { r [ 1 ] } ;
return ivec2 ( r , c ) ;
}
` }function Dc(r){return ` offset$ { r } ` }function BQ(r){let t=r.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),n=He();return `
vec4 $ { e } ( ) {
return $ { n . texture2D } ( $ { t } , halfCR ) ;
}
` }function VQ(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return ` float $ { n } ( ) { return $ { e } ; } ` ;let[o,s]=r.shapeInfo.texShape;if(o===1&&s===1)return `
float $ { n } ( ) {
return sampleTexture ( $ { e } , halfCR ) ;
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}
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` ;let i=Dc(e);if(t)return `
float $ { n } ( ) {
vec2 uv = uvFromFlat ( $ { e } TexShape [ 0 ] , $ { e } TexShape [ 1 ] , $ { i } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` ;let[a,u]=r.shapeInfo.texShape;return `
float $ { n } ( ) {
vec2 uv = uvFromFlat ( $ { a } , $ { u } , $ { i } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` }function GQ(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=r.shapeInfo.texShape,s=He();if(t)return `
vec4 $ { n } ( int index ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { e } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { e } TexShape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom1D (
packedTexShape [ 0 ] , packedTexShape [ 1 ] , index ) ;
return $ { s . texture2D } ( $ { e } , uv ) ;
}
` ;let i=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];return `
vec4 $ { n } ( int index ) {
vec2 uv = packedUVfrom1D (
$ { i [ 0 ] } , $ { i [ 1 ] } , index ) ;
return $ { s . texture2D } ( $ { e } , uv ) ;
}
` }function WQ(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return `
float $ { n } ( int index ) {
$ { jm ( r ) }
}
` ;let o=r.shapeInfo.texShape,s=o[0],i=o[1];if(i===1&&s===1)return `
float $ { n } ( int index ) {
return sampleTexture ( $ { e } , halfCR ) ;
}
` ;let a=Dc(e);return i===1?t? `
float $ { n } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { a } ) + 0.5 ) / float ( $ { e } TexShape [ 0 ] ) ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` : `
float $ { n } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { a } ) + 0.5 ) / $ { s } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` :s===1?t? `
float $ { n } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { a } ) + 0.5 ) / float ( $ { e } TexShape [ 1 ] ) , 0.5 ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` : `
float $ { n } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { a } ) + 0.5 ) / $ { i } . 0 , 0.5 ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` :t? `
float $ { n } ( int index ) {
vec2 uv = uvFromFlat ( $ { e } TexShape [ 0 ] , $ { e } TexShape [ 1 ] , index + $ { a } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` : `
float $ { n } ( int index ) {
vec2 uv = uvFromFlat ( $ { s } , $ { i } , index + $ { a } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` }function UQ(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape,i=s[0],a=s[1],u=He();if(s!=null&&x.arraysEqual(e,s))return t? `
vec4 $ { o } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return $ { u . texture2D } ( $ { n } , uv ) ;
}
` : `
vec4 $ { o } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { a } . 0 , $ { i } . 0 ) ;
return $ { u . texture2D } ( $ { n } , uv ) ;
}
` ;if(t)return `
vec4 $ { o } ( int row , int col ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { n } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { n } TexShape [ 1 ] ) / 2.0 ) ) ;
int valuesPerRow = int ( ceil ( float ( $ { n } Shape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom2D ( valuesPerRow , packedTexShape [ 0 ] , packedTexShape [ 1 ] , row , col ) ;
return $ { u . texture2D } ( $ { n } , uv ) ;
}
` ;let l=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],c=Math.ceil(e[1]/2);return `
vec4 $ { o } ( int row , int col ) {
vec2 uv = packedUVfrom2D ( $ { c } , $ { l [ 0 ] } , $ { l [ 1 ] } , row , col ) ;
return $ { u . texture2D } ( $ { n } , uv ) ;
}
` }function HQ(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape;if(s!=null&&x.arraysEqual(e,s)){if(t)return `
float $ { o } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` ;let m=s[0],f=s[1];return `
float $ { o } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` }let{newShape:i,keptDims:a}=x.squeezeShape(e),u=i;if(u.length<e.length){let m=Xm(r,u),f=["row","col"];return `
$ { Km ( m , t ) }
float $ { o } ( int row , int col ) {
return $ { o } ( $ { Ym ( f , a ) } ) ;
}
` }if(r.shapeInfo.isUniform)return `
float $ { o } ( int row , int col ) {
int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { e [ 1 ] } , 1 ) ) ) ;
$ { jm ( r ) }
}
` ;let l=s[0],c=s[1],p=Dc(n);return c===1?t? `
float $ { o } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { p } ) , vec3 ( $ { n } Shape [ 1 ] , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / float ( $ { n } TexShape [ 0 ] ) ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { o } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { p } ) , vec3 ( $ { e [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / $ { l } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` :l===1?t? `
float $ { o } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { p } ) , vec3 ( $ { n } Shape [ 1 ] , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / float ( $ { n } TexShape [ 1 ] ) , 0.5 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { o } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { p } ) , vec3 ( $ { e [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / $ { c } . 0 , 0.5 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` :t? `
float $ { o } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { n } Shape [ 1 ] + col + $ { p } ;
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , index ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { e [ 1 ] } + col + $ { p } ;
vec2 uv = uvFromFlat ( $ { l } , $ { c } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` }function qQ(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape,i=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)];if(e[0]===1){let m=e.slice(1),f=[1,2],d=Xm(r,m),h=["b","row","col"];return `
$ { RP ( d , t ) }
vec4 $ { o } ( int b , int row , int col ) {
return $ { o } ( $ { Ym ( h , f ) } ) ;
}
` }let a=He();if(t)return `
vec4 $ { o } ( int b , int row , int col ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { n } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { n } TexShape [ 1 ] ) / 2.0 ) ) ;
int valuesPerRow = int ( ceil ( float ( $ { n } Shape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatch = valuesPerRow * int ( ceil ( float ( $ { n } Shape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom3D (
packedTexShape [ 0 ] , packedTexShape [ 1 ] , texelsInBatch , valuesPerRow , b , row , col ) ;
return $ { a . texture2D } ( $ { n } , uv ) ;
}
` ;let u=i[0],l=i[1],c=Math.ceil(e[2]/2),p=c*Math.ceil(e[1]/2);return `
vec4 $ { o } ( int b , int row , int col ) {
vec2 uv = packedUVfrom3D (
$ { u } , $ { l } , $ { p } , $ { c } , b , row , col ) ;
return $ { a . texture2D } ( $ { n } , uv ) ;
}
` }function KQ(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e[1]*e[2],i=e[2],{newShape:a,keptDims:u}=x.squeezeShape(e),l=a;if(l.length<e.length){let h=Xm(r,l),g=["row","col","depth"];return `
$ { Km ( h , t ) }
float $ { o } ( int row , int col , int depth ) {
return $ { o } ( $ { Ym ( g , u ) } ) ;
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}
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` }if(r.shapeInfo.isUniform)return `
float $ { o } ( int row , int col , int depth ) {
int index = round ( dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { s } , $ { i } , 1 ) ) ) ;
$ { jm ( r ) }
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}
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` ;let c=r.shapeInfo.texShape,p=c[0],m=c[1],f=r.shapeInfo.flatOffset;if(m===s&&f==null)return t? `
float $ { o } ( int row , int col , int depth ) {
int stride1 = $ { n } Shape [ 2 ] ;
float texR = float ( row ) ;
float texC = dot ( vec2 ( col , depth ) , vec2 ( stride1 , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( 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 ( $ { m } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(m===i&&f==null)return t? `
float $ { o } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { n } Shape [ 1 ] , 1 ) ) ;
float texC = float ( depth ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { e [ 1 ] } , 1 ) ) ;
float texC = float ( depth ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { m } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` ;let d=Dc(n);return t? `
float $ { o } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
int stride0 = $ { n } Shape [ 1 ] * $ { n } Shape [ 2 ] ;
int stride1 = $ { n } Shape [ 2 ] ;
int index = row * $ { s } + col * $ { i } + depth + $ { d } ;
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { o } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { s } + col * $ { i } + depth + $ { d } ;
vec2 uv = uvFromFlat ( $ { p } , $ { m } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` }function jQ(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=He();if(t)return `
vec4 $ { n } ( int b2 , int b , int row , int col ) {
int valuesPerRow = int ( ceil ( float ( $ { e } Shape [ 3 ] ) / 2.0 ) ) ;
int texelsInBatch = valuesPerRow * int ( ceil ( float ( $ { e } Shape [ 2 ] ) / 2.0 ) ) ;
int index = b * texelsInBatch + ( row / 2 ) * valuesPerRow + ( col / 2 ) ;
texelsInBatch *= $ { e } Shape [ 1 ] ;
index = b2 * texelsInBatch + index ;
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { e } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { e } 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 $ { o . texture2D } ( $ { e } , uv ) ;
}
` ;let s=r.shapeInfo.logicalShape,i=s.length,a=r.shapeInfo.texShape,u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],l=u[0],c=u[1],p=Math.ceil(s[i-1]/2),m=p*Math.ceil(s[i-2]/2),f="int b, int row, int col",d= ` b * $ { m } + ( row / 2 ) * $ { p } + ( col / 2 ) ` ;for(let h=2;h<i-1;h++)f= ` int b$ { h } , ` +f,m*=s[i-h-1],d= ` b$ { h } * $ { m } + ` +d;return `
vec4 $ { n } ( $ { f } ) {
int index = $ { d } ;
int texR = index / $ { c } ;
int texC = index - texR * $ { c } ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { c } , $ { l } ) ;
return $ { o . texture2D } ( $ { e } , uv ) ;
}
` }function XQ(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e[3],i=e[2]*s,a=e[1]*i,{newShape:u,keptDims:l}=x.squeezeShape(e);if(u.length<e.length){let b=Xm(r,u),w=["row","col","depth","depth2"];return `
$ { Km ( b , t ) }
float $ { o } ( int row , int col , int depth , int depth2 ) {
return $ { o } ( $ { Ym ( w , l ) } ) ;
}
` }if(r.shapeInfo.isUniform)return `
float $ { o } ( int row , int col , int depth , int depth2 ) {
int index = round ( dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { a } , $ { i } , $ { s } , 1 ) ) ) ;
$ { jm ( r ) }
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}
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` ;let c=r.shapeInfo.flatOffset,p=r.shapeInfo.texShape,m=p[0],f=p[1],d= ` int stride2 = $ { n } Shape [ 3 ] ; ` ,h= ` int stride1 = $ { n } Shape [ 2 ] * stride2 ; ` ,g= ` int stride0 = $ { n } Shape [ 1 ] * stride1 ; ` ;if(f===a&&c==null)return t? `
float $ { o } ( int row , int col , int depth , int depth2 ) {
$ { d }
$ { h }
float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
vec3 ( stride1 , stride2 , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( 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 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(f===s&&c==null)return t? `
float $ { o } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { n } Shape [ 1 ] * $ { n } Shape [ 2 ] , $ { n } Shape [ 2 ] , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { e [ 1 ] * e [ 2 ] } , $ { e [ 2 ] } , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let y=Dc(n);return t? `
float $ { o } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
$ { d }
$ { h }
$ { g }
int index = row * stride0 + col * stride1 +
depth * stride2 + depth2 ;
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , index + $ { y } ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { o } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { a } + col * $ { i } +
depth * $ { s } + depth2 ;
vec2 uv = uvFromFlat ( $ { m } , $ { f } , index + $ { y } ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` }function YQ(r){let t=r.shapeInfo.logicalShape,e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=t[4],s=t[3]*o,i=t[2]*s,a=t[1]*i,{newShape:u,keptDims:l}=x.squeezeShape(t);if(u.length<t.length){let h=Xm(r,u),g=["row","col","depth","depth2","depth3"];return `
$ { Km ( h ) }
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
return $ { n } ( $ { Ym ( g , l ) } ) ;
}
` }if(r.shapeInfo.isUniform)return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
float index = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { a } , $ { i } , $ { s } , $ { o } ) ) +
depth3 ;
$ { jm ( r ) }
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}
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` ;let c=r.shapeInfo.flatOffset,p=r.shapeInfo.texShape,m=p[0],f=p[1];if(f===a&&c==null)return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
vec4 ( $ { i } , $ { s } , $ { o } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
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}
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` ;if(f===o&&c==null)return `
float $ { n } ( 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 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
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}
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` ;let d=Dc(e);return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { a } + col * $ { i } + depth * $ { s } +
depth2 * $ { o } + depth3 + $ { d } ;
vec2 uv = uvFromFlat ( $ { m } , $ { f } , index ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` }function ZQ(r){let t=r.shapeInfo.logicalShape,e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),{newShape:o,keptDims:s}=x.squeezeShape(t);if(o.length<t.length){let g=Xm(r,o),y=["row","col","depth","depth2","depth3","depth4"];return `
$ { Km ( g ) }
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
return $ { n } ( $ { Ym ( y , s ) } ) ;
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}
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` }let i=t[5],a=t[4]*i,u=t[3]*a,l=t[2]*u,c=t[1]*l;if(r.shapeInfo.isUniform)return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int index = round ( dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { c } , $ { l } , $ { u } , $ { a } ) ) +
dot (
vec2 ( depth3 , depth4 ) ,
vec2 ( $ { i } , 1 ) ) ) ;
$ { jm ( r ) }
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}
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` ;let p=r.shapeInfo.flatOffset,m=r.shapeInfo.texShape,f=m[0],d=m[1];if(d===c&&p==null)return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
vec4 ( $ { l } , $ { u } , $ { a } , $ { i } ) ) +
float ( depth4 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { d } . 0 , $ { f } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
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}
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` ;if(d===i&&p==null)return `
float $ { n } ( 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 ( $ { d } . 0 , $ { f } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
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}
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` ;let h=Dc(e);return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { c } + col * $ { l } + depth * $ { u } +
depth2 * $ { a } + depth3 * $ { i } + depth4 + $ { h } ;
vec2 uv = uvFromFlat ( $ { f } , $ { d } , index ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` }function jm(r){let t=r.name,e=x.sizeFromShape(r.shapeInfo.logicalShape);return e<2? ` return $ { t } ; ` : `
for ( int i = 0 ; i < $ { e } ; i ++ ) {
if ( i == index ) {
return $ { t } [ i ] ;
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}
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}
` }function JQ(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o="get"+n+"AtOutCoords",s=r.shapeInfo.logicalShape.length,i=t.logicalShape.length,a=DP(r.shapeInfo.logicalShape,t.logicalShape),u=Ht(i),l=i-s,c,p=["x","y","z","w","u","v"];s===0?c="":i<2&&a.length>=1?c="coords = 0;":c=a.map(b=> ` coords . $ { p [ b + l ] } = 0 ; ` ).join( `
` );let m="";i<2&&s>0?m="coords":m=r.shapeInfo.logicalShape.map((b,w)=> ` coords . $ { p [ w + l ] } ` ).join(", ");let f="return outputValue;",h=x.sizeFromShape(r.shapeInfo.logicalShape)===1,y=x.sizeFromShape(t.logicalShape)===1;if(s===1&&!h&&!y)f= `
return vec4 ( outputValue . xy , outputValue . xy ) ;
` ;else if(h&&!y)i===1?f= `
return vec4 ( outputValue . x , outputValue . x , 0. , 0. ) ;
` :f= `
return vec4 ( outputValue . x ) ;
` ;else if(a.length){let b=s-2,w=s-1;a.indexOf(b)>-1&&a.indexOf(w)>-1?f="return vec4(outputValue.x);":a.indexOf(b)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":a.indexOf(w)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}return `
vec4 $ { o } ( ) {
$ { u } coords = getOutputCoords ( ) ;
$ { c }
vec4 outputValue = get$ { n } ( $ { m } ) ;
$ { f }
}
` }function QQ(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o="get"+n+"AtOutCoords",s=t.texShape,i=r.shapeInfo.texShape,a=r.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!r.shapeInfo.isUniform&&a===u&&r.shapeInfo.flatOffset==null&&x.arraysEqual(i,s))return `
float $ { o } ( ) {
return sampleTexture ( $ { e } , resultUV ) ;
}
` ;let l=Ht(u),c=DP(r.shapeInfo.logicalShape,t.logicalShape),p=u-a,m,f=["x","y","z","w","u","v"];a===0?m="":u<2&&c.length>=1?m="coords = 0;":m=c.map(h=> ` coords . $ { f [ h + p ] } = 0 ; ` ).join( `
` );let d="";return u<2&&a>0?d="coords":d=r.shapeInfo.logicalShape.map((h,g)=> ` coords . $ { f [ g + p ] } ` ).join(", "), `
float $ { o } ( ) {
$ { l } coords = getOutputCoords ( ) ;
$ { m }
return get$ { n } ( $ { d } ) ;
}
` }function Ht(r){if(r<=1)return"int";if(r===2)return"ivec2";if(r===3)return"ivec3";if(r===4)return"ivec4";if(r===5)return"ivec5";if(r===6)return"ivec6";throw Error( ` GPU for rank $ { r } is not yet supported ` )}function mb(r,t,e){let{newShape:n,keptDims:o}=x.squeezeShape(t),s=t.length,i=r&&s===3&&t[0]===1,a=i?t.slice(1):n,u=!r&&s>1&&!x.arraysEqual(t,e)&&n.length<s||i;return{useSqueezeShape:u,uniformShape:u?a:t,keptDims:o}}function Xm(r,t){let e=JSON.parse(JSON.stringify(r));return e.shapeInfo.logicalShape=t,e}function Ym(r,t){return t.map(e=>r[e]).join(", ")}function PP(r,t,e,n){let o=e.map((v,I)=>{let E={logicalShape:v.shape,texShape:v.isUniform?null:v.texData.texShape,isUniform:v.isUniform,isPacked:v.isUniform?!1:v.texData.isPacked,flatOffset:null};return v.texData!=null&&v.texData.slice!=null&&v.texData.slice.flatOffset>0&&(E.flatOffset=v.texData.slice.flatOffset),{name:t.variableNames[I],shapeInfo:E}}),s=o.map(v=>v.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},a= $ P(o,i,t),u=zS(r.gl,a),l=r.createProgram(u),c=null,p=r.getUniformLocation(l,"NAN",!1);G().getNumber("WEBGL_VERSION")===1&&(c=r.getUniformLocation(l,"INFINITY",!1));let m=!1,f={},d={},h={};for(let v=0;v<t.variableNames.length;v++){let I=t.variableNames[v];f[I]=r.getUniformLocation(l,I,m),f[ ` offset$ { I } ` ]=r.getUniformLocation(l, ` offset$ { I } ` ,m),t.enableShapeUniforms&&(d[ ` $ { I } Shape ` ]=r.getUniformLocation(l, ` $ { I } Shape ` ,m),h[ ` $ { I } TexShape ` ]=r.getUniformLocation(l, ` $ { I } TexShape ` ,m))}let g,y,b;t.enableShapeUniforms&&(g=r.getUniformLocation(l,"outShape",m),b=r.getUniformLocation(l,"outShapeStrides",m),y=r.getUniformLocation(l,"outTexShape",m));let w=[];return t.customUniforms&&t.customUniforms.forEach((v,I)=>{w[I]=r.getUniformLocation(l,v.name,m)}),{program:t,fragmentShader:u,source:a,webGLProgram:l,uniformLocations:f,customUniformLocations:w,inShapeInfos:s,outShapeInfo:i,infLoc:c,nanLoc:p,inShapesLocations:d,inTexShapesLocations:h,outShapeLocation:g,outShapeStridesLocation:b,outTexShapeLocation:y}}function OP(r,t){if(r.length!==t.length)throw Error( ` Binary was compiled with $ { r . length } inputs , but was executed with $ { t . length } inputs ` );r.forEach((e,n)=>{let o=e.logicalShape,s=t[n],i=s.shape;if(!x.arraysEqual(o,i))throw Error( ` Binary was compiled with different shapes than the current args . Shapes $ { o } and $ { i } must match ` );if(e.isUniform&&s.isUniform)return;let a=e.texShape,u=s.isUniform?null:s.texData.texShape;if(!x.arraysEqual(a,u))throw Error( ` Binary was compiled with different texture shapes than the current args . Shape $ { a } and $ { u } must match ` )})}function MP(r,t,e,n,o){t.program.enableShapeUniforms||(OP(t.inShapeInfos,e),OP([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):r.setOutputMatrixTexture(s.texture,i[0],i[1]),r.setProgram(t.webGLProgram),G().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&r.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&r.gl.uniform1f(t.nanLoc,NaN),e.forEach((u,l)=>{let c=t.program.variableNames[l],p=t.uniformLocations[c],m=t.uniformLocations[ ` offset$ { c } ` ],f=t.inShapesLocations[ ` $ { c } Shape ` ],d=t.inTexShapesLocations[ ` $ { c } TexShape ` ];if(f){let{uniformShape:h}=mb(t.program.packedInputs,u.shape,u.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(f,new Int32Array(h));break;case 2:r.gl.uniform2iv(f,new Int32Array(h));break;case 3:r.gl.uniform3iv(f,new Int32Array(h));break;case 4:r.gl.uniform4iv(f,new Int32Array(h));break;default:break}}if(d&&r.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),p!=null){if(u.isUniform){if(x.sizeFromShape(u.shape)<2)r.gl.uniform1f(p,u.uniformValues[0]);else{let h=u.uniformValues;h instanceof Float32Array||(h=new Float32Array(h)),r.gl.uniform1fv(p,h)}return}u.texData.slice!=null&&m!=null&&r.gl.uniform1i(m,u.texData.slice.flatOffset),r.setInputMatrixTexture(u.texData.texture.texture,p,l)}});let a=t.outShapeLocation;if(a)switch(n.shape.length){case 1:r.gl.uniform1iv(a,new Int32Array(n.shape));break;case 2:r.gl.uniform2iv(a,new Int32Array(n.s
ivec3 outCoordsFromFlatIndex ( int index ) {
$ { this . enableShapeUniforms ? Ac ( [ "r" , "c" , "d" ] , t ) : li ( [ "r" , "c" , "d" ] , t ) }
return ivec3 ( r , c , d ) ;
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}
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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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$ { e . output } = result ;
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}
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` }};var ok=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=nu.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let e=He();this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length),this.userCode= `
ivec3 outCoordsFromFlatIndex ( int index ) {
$ { this . enableShapeUniforms ? Ac ( [ "r" , "c" , "d" ] , t ) : li ( [ "r" , "c" , "d" ] , t ) }
return ivec3 ( r , c , d ) ;
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}
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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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$ { e . output } = result ;
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}
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` }};var sk=class{constructor(t){this.variableNames=["A"],this.outTexUsage=Ur.DOWNLOAD;let e=He();this.outputShape=t,this.userCode= `
$ { pb }
void main ( ) {
float x = getAAtOutCoords ( ) ;
$ { e . output } = encode _float ( x ) ;
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}
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` }};var ik=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Ur.DOWNLOAD;let e=He();this.outputShape=t,this.userCode= `
$ { pb }
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
float x = getChannel ( getAAtOutCoords ( ) , vec2 ( coords . y , coords . z ) ) ;
$ { e . output } = encode _float ( x ) ;
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}
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` }};var ak=class{constructor(t,e=!1){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=He();this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let o="result";e&&(o="floor(result * 255. + 0.5)"),this.userCode= `
$ { this . enableShapeUniforms ? Hm ( ) : Um ( t ) }
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int flatIndex = getFlatIndex ( coords ) ;
int offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
int r = flatIndex / texShape [ 1 ] ;
int c = imod ( flatIndex , texShape [ 1 ] ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( texShape [ 1 ] , texShape [ 0 ] ) ;
vec4 values = $ { n . texture2D } ( A , uv ) ;
float result ;
if ( offset == 0 ) {
result = values [ 0 ] ;
} else if ( offset == 1 ) {
result = values [ 1 ] ;
} else if ( offset == 2 ) {
result = values [ 2 ] ;
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} else {
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result = values [ 3 ] ;
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}
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$ { n . output } = vec4 ( $ { o } , 0. , 0. , 0. ) ;
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}
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` }};var lk=class{constructor(t,e=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=He();this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let o="",s="result";e&&(s="floor(result * 255. + 0.5)");for(let i=0;i<=1;i++)for(let a=0;a<=1;a++){let u=i*2+a;o+= `
localCoords = coords ;
if ( localCoords [ 2 ] + $ { a } < $ { this . enableShapeUniforms ? "outShape[2]" : ` ${ t [ 2 ] } ` } ) {
localCoords [ 2 ] += $ { a } ;
if ( localCoords [ 1 ] + $ { i } < $ { this . enableShapeUniforms ? "outShape[1]" : ` ${ t [ 1 ] } ` } ) {
localCoords [ 1 ] += $ { i } ;
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 [ $ { u } ] = values [ 0 ] ;
} else if ( offset == 1 ) {
result [ $ { u } ] = values [ 1 ] ;
} else if ( offset == 2 ) {
result [ $ { u } ] = values [ 2 ] ;
} else {
result [ $ { u } ] = values [ 3 ] ;
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}
}
}
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` }this.userCode= `
$ { this . enableShapeUniforms ? Hm ( ) : Um ( t ) }
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
int flatIndex , r , c , offset ;
ivec3 localCoords ;
vec2 uv ;
vec4 values ;
$ { o }
$ { n . output } = $ { s } ;
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}
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` }};var kk={};Xt(kk,{bindVertexProgramAttributeStreams:()=>xk,createBufferFromOutputTexture:()=>wk,createFloat16MatrixTexture:()=>fk,createFloat16PackedMatrixTexture:()=>gk,createFloat32MatrixTexture:()=>mk,createIndexBuffer:()=>pk,createPackedMatrixTexture:()=>hk,createUnsignedBytesMatrixTexture:()=>dk,createVertexBuffer:()=>ck,createVertexShader:()=>uk,downloadByteEncodedFloatMatrixFromOutputTexture:()=>Ck,downloadFloat32MatrixFromBuffer:()=>vk,downloadMatrixFromPackedOutputTexture:()=>Sk,downloadPackedMatrixFromBuffer:()=>Ik,getInternalFormatForFloat16MatrixTexture:()=>db,getInternalFormatForFloat16PackedMatrixTexture:()=>xb,getInternalFormatForFloat32MatrixTexture:()=>fb,getInternalFormatForPackedMatrixTexture:()=>gb,getInternalFormatForUnsignedBytesMatrixTexture:()=>hb,uploadDenseMatrixToTexture:()=>yk,uploadPixelDataToTexture:()=>bk});function uk(r){let t=He(),e= ` $ { t . version }
precision highp float ;
$ { t . attribute } vec3 clipSpacePos ;
$ { t . attribute } vec2 uv ;
$ { t . varyingVs } vec2 resultUV ;
void main ( ) {
gl _Position = vec4 ( clipSpacePos , 1 ) ;
resultUV = uv ;
} ` ;return LS(r,e)}function ck(r){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 GS(r,t)}function pk(r){let t=new Uint16Array([0,1,2,2,1,3]);return WS(r,t)}function sg(r,t,e,n,o,s){HS(t,e);let i=US(r),a=r.TEXTURE_2D;return vt(r,()=>r.bindTexture(a,i)),vt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),vt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),vt(r,()=>r.texParameteri(a,r.TEXTURE_MIN_FILTER,r.NEAREST)),vt(r,()=>r.texParameteri(a,r.TEXTURE_MAG_FILTER,r.NEAREST)),G().getNumber("WEBGL_VERSION")===1?vt(r,()=>r.texImage2D(a,0,n,t,e,0,o,s,null)):vt(r,()=>r.texStorage2D(a,1,n,t,e)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function fb(r){return r.internalFormatFloat}function mk(r,t,e,n){let[o,s]=Ec(t,e);return sg(r,o,s,fb(n),n.textureFormatFloat,r.FLOAT)}function db(r){return r.internalFormatHalfFloat}function fk(r,t,e,n){let[o,s]=Ec(t,e);return sg(r,o,s,db(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function hb(r){return r.downloadTextureFormat}function dk(r,t,e,n){let[o,s]=Ec(t,e);return sg(r,o,s,hb(n),r.RGBA,r.UNSIGNED_BYTE)}function gb(r){return r.internalFormatPackedFloat}function hk(r,t,e,n){let[o,s]=Ui(t,e);return sg(r,o,s,gb(n),r.RGBA,r.FLOAT)}function xb(r){return r.internalFormatPackedHalfFloat}function gk(r,t,e,n){let[o,s]=Ui(t,e);return sg(r,o,s,xb(n),r.RGBA,n.textureTypeHalfFloat)}function xk(r,t,e){return vt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),lb(r,t,"clipSpacePos",e,3,20,0)&&lb(r,t,"uv",e,2,20,12)}function yk(r,t,e,n,o,s){vt(r,()=>r.bindTexture(r.TEXTURE_2D,t));let i,a,u;o instanceof Uint8Array?(i=new Uint8Array(e*n*4),a=r.UNSIGNED_BYTE,u=r.RGBA):(i=new Float32Array(e*n*4),a=r.FLOAT,u=s.internalFormatPackedFloat),i.set(o),G().getNumber("WEBGL_VERSION")===2?vt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e,n,r.RGBA,a,i)):vt(r,()=>r.texImage2D(r.TEXTURE_2D,0,u,e,n,0,r.RGBA,a,i)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function bk(r,t,e){vt(r,()=>r.bindTexture(r.TEXTURE_2D,t)),e.data instanceof Uint8Array?G().getNumber("WEBGL_VERSION")===2?vt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e.width,e.height,r.RGBA,r.UNSIGNED_BYTE,e.data)):vt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,e.width,e.height,0,r.RGBA,r.UNSIGNED_BYTE,e.data)):G().getNumber("WEBGL_VERSION")===2?vt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,e)):vt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function wk(r,t,e,n){let o=r.createBuffer();vt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let a=4*4*t*e;return vt(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,a,r.STREAM_READ)),vt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,0)),vt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function vk(r,t,e){let n=r,o=new Float32Array(e);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function Ck(r,t,e,n){let[o,s]=Ec(t,e),i=4,a=new Uint8Array(SP(t*e,i));return vt(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function Ik(r,t,e,n,o,s,i,a){let u=r,l=new Float32Array(kP(s,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function Sk(r,t,e){let n=new Float32Array(t*e*4);return vt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,n)),n}var Zm=class{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let e=G().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,FS(e,t)):this.gl=Vn(e);let n="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(G().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",i="OES_texture_half_float";if(this.textureFloatExtension=Vm(this.gl,s),Gn(this.gl,i))this.textureHalfFloatExtension=Vm(this.gl,i);else if(G().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=
void main ( ) {
setOutput ( vec4 ( getA ( ) , 0. , 0. , 0. ) ) ;
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}
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` ;else{let e=tr("rc",this.rank),n=Ht(this.rank),o=this.getOutOfBoundsCondition(e),s=this.getSetup(e),i=this.getOutput(e);this.userCode= `
void main ( ) {
$ { n } rc = getOutputCoords ( ) ;
if ( $ { o } ) {
setOutput ( vec4 ( 0 ) ) ;
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} else {
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$ { s }
setOutput ( vec4 ( $ { i } ) ) ;
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}
}
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` }}getSourceCoordsArr(t){let e=[];for(let n=0;n<=1;n++)for(let o=0;o<=1;o++){let s= ` $ { n === 0 ? "r" : "rp1" } , $ { o === 0 ? "c" : "cp1" } ` ;for(let i=2;i<this.rank;i++)s= ` $ { t [ t . length - 1 - i ] } , ` +s;e.push(s)}return e}getOutOfBoundsCondition(t){if(this.rank===1)return ` rc > $ { this . enableShapeUniforms ? "outShape" : this . outputShape [ 0 ] } ` ;let e="";for(let n=this.rank-2;n<this.rank;n++)e+= ` $ { t [ n ] } >= $ { this . enableShapeUniforms ? ` outShape[ ${ n } ] ` : this . outputShape [ n ] } ` ,n<this.rank-1&&(e+="||");return e}getSetup(t){if(this.rank===1)return"";let e=t.slice(-2),n=this.enableShapeUniforms? ` outShape [ $ { this . rank } - 1 ] ` :this.outputShape[this.rank-1],o=this.enableShapeUniforms? ` outShape [ $ { this . rank } - 2 ] ` :this.outputShape[this.rank-2];return `
int r = $ { e [ 0 ] } ;
int c = $ { e [ 1 ] } ;
int rp1 = r + 1 ;
int cp1 = c + 1 ;
bool cEdge = cp1 >= $ { n } ;
bool rEdge = rp1 >= $ { o } ;
` }getOutput(t){let e=this.getSourceCoordsArr(t);return this.rank===1? ` getA ( rc ) , ( rc + 1 >= $ { this . enableShapeUniforms ? "outShape" : this . outputShape [ 0 ] } ? 0. : getA ( rc + 1 ) ) , 0 , 0 ` : ` getA ( $ { e [ 0 ] } ) ,
cEdge ? 0. : getA ( $ { e [ 1 ] } ) ,
rEdge ? 0. : getA ( $ { e [ 2 ] } ) ,
rEdge || cEdge ? 0. : getA ( $ { e [ 3 ] } ) ` }};var ig=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let n="";for(let o=0;o<4;o++){let s="thisRC = rc;";o%2===1&&(s+="thisRC.z += 1;"),o>1&&(s+="thisRC.y += 1;"),n+= `
$ { s }
$ { o > 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 [ $ { o } ] =
getChannel ( getA ( inputRC . x , inputRC . y , inputRC . z ) , inputRCInnerDims ) ;
$ { o > 0 ? "}" : "" }
` }this.userCode= `
$ { ntt ( e , this . enableShapeUniforms ) }
$ { this . enableShapeUniforms ? Hm ( ) : Um ( t ) }
void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
ivec3 thisRC ;
int rows = $ { this . enableShapeUniforms ? "outShape[1]" : t [ 1 ] } ;
int cols = $ { this . enableShapeUniforms ? "outShape[2]" : t [ 2 ] } ;
$ { n }
setOutput ( result ) ;
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}
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` }};function ntt(r,t){return `
ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
$ { t ? AP ( [ "r" , "c" , "d" ] , "inputShape" ) : li ( [ "r" , "c" , "d" ] , r ) }
return ivec3 ( r , c , d ) ;
}
` }var _k=class{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(t,e,n){let o=kM(e,n),s=NM(t,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let i=SM(t,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=i,this.log();let u=this.freeTextures[s].shift();return this.usedTextures[s].push(u),u}let a;return o===Rr.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Rr.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Rr.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Rr.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Rr.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[s].push(a),this.numUsedTextures++,this._numBytesAllocated+=i,this.log(),a}releaseTexture(t,e,n,o){if(this.freeTextures==null)return;let s=kM(n,o),i=NM(e,s,o);i in this.freeTextures||(this.freeTextures[i]=[]);let a=SM(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),u=G().get("WEBGL_DELETE_TEXTURE_THRESHOLD");u!==-1&&this._numBytesAllocated>u?(this.gpgpu.deleteMatrixTexture(t.texture),this._numBytesAllocated-=a):(this.freeTextures[i].push(t),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;let l=this.usedTextures[i],c=l.indexOf(t);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used", ` $ { this . numFreeTextures } / $ { this . numUsedTextures } ` , ` ( $ { t } ) ` );let e=this._numBytesFree/this._numBytesAllocated;console.log( ` Bytes allocated : $ { this . _numBytesAllocated } ` ),console.log( ` Bytes unused : $ { this . _numBytesFree } ( $ { Math . round ( 100 * e ) } % ) ` )}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 t in this.freeTextures)this.freeTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});for(let t in this.usedTextures)this.usedTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function ott(r,t){let e=r;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===r.RGBA)return 16;if(t===e.RGBA16F)return 8;if(t===e.RGBA8)return 4;throw new Error( ` Unknown internal format $ { t } ` )}function SM(r,t,e,n,o){let s=stt(t,n),i;if(o){let[u,l]=Ui(r[0],r[1]);i=u*l}else{let[u,l]=Ec(r[0],r[1]);i=u*l}let a=ott(e,s);return i*a}function stt(r,t){switch(r){case Rr.PACKED_2X2_FLOAT32:return gb(t);case Rr.PACKED_2X2_FLOAT16:return xb(t);case Rr.UNPACKED_FLOAT32:return fb(t);case Rr.UNPACKED_FLOAT16:return db(t);case Rr.PACKED_4X1_UNSIGNED_BYTE:return hb(t);default:throw new Error( ` Unknown physical texture type $ { r } ` )}}function itt(r){return G().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?r?Rr.PACKED_2X2_FLOAT32:Rr.UNPACKED_FLOAT32:r?Rr.PACKED_2X2_FLOAT16:Rr.UNPACKED_FLOAT16}function kM(r,t){if(r===Ur.UPLOAD)return Rr.PACKED_2X2_FLOAT32;if(r===Ur.RENDER||r==null)return itt(t);if(r===Ur.DOWNLOAD||r===Ur.PIXELS)return Rr.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { r } ` )}function NM(r,t,e){return ` $ { r [ 0 ] } _$ { r [ 1 ] } _$ { t } _$ { e } ` }var wn=class{constructor(t,e){this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length),this.userCode= `
float unaryOperation ( float x ) {
$ { e }
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}
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void main ( ) {
float x = getAAtOutCoords ( ) ;
float y = unaryOperation ( x ) ;
setOutput ( y ) ;
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}
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` }},dr="if (isnan(x)) return x;",TM="return x;",Ek="return abs(x);";var _M="return (x >= 0.0) ? x : (exp(x) - 1.0);",EM=dr+ `
return ( x < 0.0 ) ? 0.0 : x ;
` ,AM=dr+ `
return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
` ,Rc="return x;",DM="return 1.0 / (1.0 + exp(-1.0 * x));";var RM="return x;",FM= `
vec4 result ;
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result . r = ( x . r >= 0.0 ) ? x . r : ( exp ( x . r ) - 1.0 ) ;
result . g = ( x . g >= 0.0 ) ? x . g : ( exp ( x . g ) - 1.0 ) ;
result . b = ( x . b >= 0.0 ) ? x . b : ( exp ( x . b ) - 1.0 ) ;
result . a = ( x . a >= 0.0 ) ? x . a : ( exp ( x . a ) - 1.0 ) ;
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return result ;
` ,OM= `
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 ;
` ,PM= `
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 ;
` ,MM="return 1.0 / (1.0 + exp(-1.0 * x));", $ o=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length),this.userCode= `
vec4 unaryOperation ( vec4 x ) {
$ { e }
}
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void main ( ) {
vec4 x = getAAtOutCoords ( ) ;
vec4 y = unaryOperation ( x ) ;
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setOutput ( y ) ;
}
` }};var Ak=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let e=t.length,n=tr("rc",e),o=Ht(e),s=IM(e,n),i=n.slice(-2),a=e<=1?"rc": ` vec2 ( $ { i . join ( "," ) } ) ` ;this.userCode= `
void main ( ) {
$ { o } rc = getOutputCoords ( ) ;
vec4 packedInput = getA ( $ { s } ) ;
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setOutput ( getChannel ( packedInput , $ { a } ) ) ;
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}
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` }};var ltt=Vr.whereImpl,utt=1e-7,ctt=1e-4,vb={};function ptt(r){return r in vb||(vb[r]={}),vb[r]}var mtt=G().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),ftt=600;function dtt(){return G().global.screen==null?1024:G().global.screen.height*G().global.screen.width*window.devicePixelRatio*ftt/1024/1024}var Fc=class extends pi{constructor(t){super();if(this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!G().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let e;if(t!=null){if(t instanceof Zm)e=t;else{let n=Vn(G().getNumber("WEBGL_VERSION"),t);e=new Zm(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Vn(G().getNumber("WEBGL_VERSION"));e=new Zm(n),this.binaryCache=ptt(G().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new _k(this.gpgpu),this.numMBBeforeWarning=dtt(),this.texData=new bl(this,po())}nextDataId(){return Fc.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(t,e,n){if((G().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||G().getBool("DEBUG"))&&this.checkNumericalProblems(t),n==="complex64"&&t!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let o={id:this.nextDataId()};return this.texData.set(o,{shape:e,dtype:n,values:t,usage:Ur.UPLOAD,refCount:1}),o}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){let e=this.texData.get(t);e.refCount++}decRef(t){if(this.texData.has(t)){let e=this.texData.get(t);e.refCount--}}move(t,e,n,o,s){if(G().getBool("DEBUG")&&this.checkNumericalProblems(e),o==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:o,values:e,usage:Ur.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){let e=this.texData.get(t),{values:n,dtype:o,complexTensorInfos:s,slice:i,shape:a,isPacked:u}=e;if(i!=null){let m;u?m=new $ o(a,Rc):m=new wn(a,Rc);let f=this.runWebGLProgram(m,[{dataId:t,shape:a,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(t);if(o==="string")return n;let l=this.activeTimers!=null,c;l&&(c=x.now());let p;if(o==="complex64"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=k.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=x.now()-c),this.convertAndCacheOnCPU(t,p)}async read(t){if(this.pendingRead.has(t)){let d=this.pendingRead.get(t);return new Promise(h=>d.push(h))}let e=this.texData.get(t),{values:n,shape:o,slice:s,dtype:i,complexTensorInfos:a,isPacked:u}=e;if(s!=null){let d;u?d=new $ o(o,Rc):d=new wn(o,Rc);let h=this.runWebGLProgram(d,[{dataId:t,shape:o,dtype:i}],i),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(t);if(G().getBool("DEBUG")&&!G().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&G().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,c;if(i!=="complex64"&&G().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(t);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture.texture,...tg(o))}this.pendingRead.set(t,[]),i!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(i==="complex64"){let d=await Promise.all([this.read(a.real.dataId),this.read(a.imag.dataId)]),h=d[0],g=d[1];p=k.mergeRealAndImagArrays(h,g)}else if(l==null)p=this.getValuesFromTexture(t);else{let d=x.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}if(c!=null&&this.disposeIntermediateTensorInfo(c),l!=null){let d=this.gpgpu.gl;vt(d,()=>d.deleteBuffer(l))}let m=this.convertAndCacheOnCPU(t,p),f=this.pendingRead.get(t);return this.pendingRead.delete(t
if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
` ;var Ro=class{constructor(t,e,n){this.variableNames=["A","B"],this.outputShape=k.assertAndGetBroadcastShape(e,n),this.enableShapeUniforms=De(this.outputShape.length),this.userCode= `
float binaryOperation ( float a , float b ) {
$ { t }
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}
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void main ( ) {
float a = getAAtOutCoords ( ) ;
float b = getBAtOutCoords ( ) ;
setOutput ( binaryOperation ( a , b ) ) ;
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}
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` }};var su= `
result . r = isNaN . r > 0. ? NAN : result . r ;
result . g = isNaN . g > 0. ? NAN : result . g ;
result . b = isNaN . b > 0. ? NAN : result . b ;
result . a = isNaN . a > 0. ? NAN : result . a ;
` ;var ui=class{constructor(t,e,n,o=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=k.assertAndGetBroadcastShape(e,n);let s=this.outputShape.length;this.enableShapeUniforms=De(s);let i="";if(o)if(s===0||x.sizeFromShape(this.outputShape)===1)i= `
result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
` ;else if(i= `
$ { Ht ( s ) } coords = getOutputCoords ( ) ;
` ,s===1)this.enableShapeUniforms?i+= `
result . y = ( coords + 1 ) >= outShape ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
` :i+= `
result . y = ( coords + 1 ) >= $ { this . outputShape [ 0 ] } ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
` ;else{let u=tr("coords",s);this.enableShapeUniforms?i+= `
bool nextRowOutOfBounds =
( $ { u [ s - 2 ] } + 1 ) >= outShape [ $ { s } - 2 ] ;
bool nextColOutOfBounds =
( $ { u [ s - 1 ] } + 1 ) >= outShape [ $ { s } - 1 ] ;
result . y = nextColOutOfBounds ? 0. : result . y ;
result . z = nextRowOutOfBounds ? 0. : result . z ;
result . w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result . w ;
` :i+= `
bool nextRowOutOfBounds =
( $ { u [ s - 2 ] } + 1 ) >= $ { this . outputShape [ s - 2 ] } ;
bool nextColOutOfBounds =
( $ { u [ s - 1 ] } + 1 ) >= $ { this . outputShape [ s - 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 ) {
$ { t }
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}
void main ( ) {
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vec4 a = getAAtOutCoords ( ) ;
vec4 b = getBAtOutCoords ( ) ;
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vec4 result = binaryOperation ( a , b ) ;
$ { i }
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setOutput ( result ) ;
}
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` }};function er(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var BM={kernelName:so,backendName:"webgl",kernelFunc:er};function Dn(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.makeTensorInfo(n.shape,"complex64"),i=e.texData.get(s.dataId),a=er({inputs:{x:n},backend:e}),u=er({inputs:{x:o},backend:e});return i.complexTensorInfos={real:a,imag:u},s}var VM={kernelName:pp,backendName:"webgl",kernelFunc:Dn};var Dk="return (a < 0.) ? b * a : a;", $ k= `
vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
` ;function gtt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n,i=e.makeTensorInfo([],"float32",x.createScalarValue(s,"float32")),a=G().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ui( $ k,o.shape,i.shape):new Ro(Dk,o.shape,i.shape),u=e.runWebGLProgram(a,[o,i],"float32");return e.disposeIntermediateTensorInfo(i),u}var GM={kernelName:cs,backendName:"webgl",kernelFunc:gtt};var Rk="return (a < 0.) ? b * a : a;",Fk= `
vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
` ;function xtt(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=G().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ui(Fk,n.shape,o.shape):new Ro(Rk,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],"float32")}var WM={kernelName:Is,backendName:"webgl",kernelFunc:xtt};var Fo="if (isnan(x)) return x;",UM= `
if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
` ,HM= `
result . r = isNaN . r > 0. ? NAN : result . r ;
result . g = isNaN . g > 0. ? NAN : result . g ;
result . b = isNaN . b > 0. ? NAN : result . b ;
result . a = isNaN . a > 0. ? NAN : result . a ;
` ;function Ct({opSnippet:r,packedOpSnippet:t,cpuKernelImpl:e,dtype:n}){return({inputs:o,backend:s})=>{let{x:i}=o,a=s,u=n||i.dtype;if(a.shouldExecuteOnCPU([i])&&e!=null){let p=a.texData.get(i.dataId),m=e(p.values,u);return a.makeTensorInfo(i.shape,u,m)}let l=G().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,c;return l?c=new $ o(i.shape,t):c=new wn(i.shape,r),a.runWebGLProgram(c,[i],u)}}function le({opSnippet:r,packedOpSnippet:t,checkOutOfBounds:e=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:i,backend:a})=>{let{a:u,b:l}=i,c=a;if(n&&u.dtype==="complex64"){let d=c.texData.get(u.dataId),h=c.texData.get(l.dataId),[g,y]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[v,I]=w,E={dataId:v.dataId,dtype:v.dtype,shape:u.shape},D={dataId:I.dataId,dtype:I.dtype,shape:l.shape}, $ =new Ro(r,u.shape,l.shape);return c.runWebGLProgram( $ ,[E,D],yr(v.dtype,I.dtype))}),b=Dn({inputs:{real:g,imag:y},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(y),b}let p=s||yr(u.dtype,l.dtype);if((u.dtype==="string"||l.dtype==="string"||c.shouldExecuteOnCPU([u,l]))&&o!=null){let d=c.texData.get(u.dataId).values,h=c.texData.get(l.dataId).values,g=u.dtype==="string"?k.fromUint8ToStringArray(d):d,y=u.dtype==="string"?k.fromUint8ToStringArray(h):h,[b,w]=o(u.shape,l.shape,g,y,p),v=c.makeTensorInfo(w,p),I=c.texData.get(v.dataId);return I.values=b,v}let m=G().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,f;return m?f=new ui(t,u.shape,l.shape,e):f=new Ro(r,u.shape,l.shape),c.runWebGLProgram(f,[u,l],p)}}function iu(r,t=!1){if(r==="linear")return t?RM:TM;if(r==="relu")return t?OM:EM;if(r==="elu")return t?FM:_M;if(r==="relu6")return t?PM:AM;if(r==="prelu")return t?Fk:Rk;if(r==="leakyrelu")return t? $ k:Dk;if(r==="sigmoid")return t?MM:DM;throw new Error( ` Activation $ { r } has not been implemented for the WebGL backend . ` )}var ag=class{constructor(t,e,n,o=!1,s=!1,i=!1,a=null,u=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=De(this.outputShape.length);let c=o?t[1]:t[2],p=Math.ceil(c/2),m=o?"i * 2, rc.y":"rc.y, i * 2",f=s?"rc.z, i * 2":"i * 2, rc.z",d=o?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",y="";a&&(u?g= ` vec4 activation ( vec4 a ) {
vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { a }
} ` :l?g= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { a }
} ` :g= ` vec4 activation ( vec4 x ) {
$ { a }
} ` ,y="result = activation(result);");let b=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),u&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let w="rc.x",v="rc.x";t[0]<e[0]?w= ` int ( min ( float ( rc . x ) , $ { t [ 0 ] - 1 } . ) ) ` :e[0]<t[0]&&(v= ` int ( min ( float ( rc . x ) , $ { e [ 0 ] - 1 } . ) ) ` ),this.userCode= `
$ { g }
// Don't use uniform for sharedDimensionPacked for performance.
const float sharedDimension = $ { p } . 0 ;
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vec4 dot2x2ARowBCol ( ivec3 rc ) {
vec4 result = vec4 ( 0 ) ;
for ( int i = 0 ; i < $ { p } ; i ++ ) {
int batchA = $ { w } ;
int batchB = $ { v } ;
vec4 a = getMatrixA ( batchA , $ { m } ) ;
vec4 b = getMatrixB ( batchB , $ { f } ) ;
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// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
result += ( $ { d [ 0 ] } * $ { h [ 0 ] } ) ;
result += ( $ { d [ 1 ] } * $ { h [ 1 ] } ) ;
}
return result ;
}
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void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = dot2x2ARowBCol ( rc ) ;
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$ { b }
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$ { y }
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setOutput ( result ) ;
}
` }};var Ok={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},Ib=class{constructor(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=k.assertAndGetBroadcastShape(e,n),this.userCode= `
float binaryOpComplex (
float areal , float aimag , float breal , float bimag ) {
$ { t }
}
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void main ( ) {
float areal = getARealAtOutCoords ( ) ;
float aimag = getAImagAtOutCoords ( ) ;
float breal = getBRealAtOutCoords ( ) ;
float bimag = getBImagAtOutCoords ( ) ;
setOutput ( binaryOpComplex ( areal , aimag , breal , bimag ) ) ;
}
` }};var qM="return a * b;";function lg(r){let{inputs:t,backend:e}=r,{a:n,b:o}=t,s=k.upcastType(n.dtype,o.dtype);if(n.dtype==="complex64"){let a=e.texData.get(n.dataId),u=e.texData.get(o.dataId),l=new Ib(Ok.REAL,n.shape,o.shape),c=new Ib(Ok.IMAG,n.shape,o.shape),p=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:n.shape},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:n.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:o.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:o.shape}],m=e.runWebGLProgram(l,p,"float32"),f=e.runWebGLProgram(c,p,"float32"),d=Dn({inputs:{real:m,imag:f},backend:e});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}if(e.shouldExecuteOnCPU([n,o])){let a=e.texData.get(n.dataId),u=e.texData.get(o.dataId),[l,c]=oM(n.shape,o.shape,a.values,u.values,s),p=e.makeTensorInfo(c,s),m=e.texData.get(p.dataId);return m.values=l,p}let i;return G().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new ui(qM,n.shape,o.shape):i=new Ro(qM,n.shape,o.shape),e.runWebGLProgram(i,[n,o],s)}var KM={kernelName:bs,backendName:"webgl",kernelFunc:lg};function jM(r,t,e){let n=[cl(r.shape),...pl(r.shape)],o={dtype:r.dtype,shape:n,dataId:r.dataId},s=[cl(t),...pl(t)],i=new ig(s,n),a=!0,u=[n],l=e.runWebGLProgram(i,[o],r.dtype,u,a);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function ut(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=e,a=x.sizeFromShape(o.shape),u=x.inferFromImplicitShape(s,a),l=x.sizeFromShape(u);x.assert(a===l,()=> ` The new shape ( $ { u } ) has $ { l } elements and the old shape ( $ { o . shape } ) has $ { a } elements . The new shape and old shape must have the same number of elements . ` );let c=i.texData.get(o.dataId);return c.isPacked&&!ou(o.shape,u)&&!(c.texture!==null&&ou(c.shape,u))?jM(o,u,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:u,dtype:o.dtype})}var XM={kernelName:Ci,backendName:"webgl",kernelFunc:ut};var Sb=class{constructor(t,e){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=Math.floor(n/4)*4,u=n%4,l="sumValue += dot(values, ones);";if(e!=null){let p=1/e;l= ` sumValue += dot ( values * $ { x . isInt ( p ) ? p . toPrecision ( 2 ) : p } , ones ) ; ` }let c="";s%n>0&&(c= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
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 ) {
$ { c }
return getX ( batch , inIdx ) ;
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}
void main ( ) {
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ivec2 coords = getOutputCoords ( ) ;
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int batch = coords [ 0 ] ;
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int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
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float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { a } ; i += 4 ) {
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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$ { l }
}
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int inIdx = inOffset + $ { a } ;
if ( $ { u === 1 } ) {
vec4 values = vec4 ( getValue ( batch , inIdx ) , 0.0 , 0.0 , 0.0 ) ;
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$ { l }
} else if ( $ { u === 2 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) , 0.0 , 0.0 ) ;
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$ { l }
} else if ( $ { u === 3 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) , 0.0 ) ;
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$ { l }
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}
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setOutput ( sumValue ) ;
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}
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` }};var Pk=class{constructor(t,e){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a="0.0",u="";e==="prod"?a="1.0":e==="min"?(a="1.0 / 1e-20",u="min"):e==="max"&&(a="-1.0 / 1e-20",u="max");let l= ` $ { e } ( $ { e } ( $ { e } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;e==="sum"?l="sumValue":e==="prod"?l="prodValue":e==="all"?l="allValue":e==="any"&&(l="anyValue");let c=Math.floor(n/4)*4,p=n%4,m= `
if ( $ { e === "sum" } ) {
sumValue += dot ( values , ones ) ;
} else if ( $ { e === "prod" } ) {
vec2 tmp = vec2 ( values [ 0 ] , values [ 1 ] ) * vec2 ( values [ 2 ] , values [ 3 ] ) ;
prodValue *= tmp [ 0 ] * tmp [ 1 ] ;
} else {
minMaxValue = $ { u } ( values , minMaxValue ) ;
if ( $ { e === "min" } || $ { e === "max" } ) {
minMaxValue = $ { u } ( 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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` ,f="vec4";e==="all"?(a="1.0",m= `
bool reducedAllValue = all ( values ) ;
float floatedReducedAllValue = float ( reducedAllValue ) ;
allValue = float ( allValue >= 1.0 && floatedReducedAllValue >= 1.0 ) ;
` ,f="bvec4"):e==="any"&&(a="0.0",m= `
bool reducedAnyValue = any ( values ) ;
float floatedReducedAnyValue = float ( reducedAnyValue ) ;
anyValue = float ( anyValue >= 1.0 || floatedReducedAnyValue >= 1.0 ) ;
` ,f="bvec4");let d="";s%n>0&&(d= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return initializationValue ;
}
` ),this.userCode= `
const float initializationValue = $ { a } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
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float getValue ( int batch , int inIdx ) {
$ { d }
return getX ( batch , inIdx ) ;
}
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void main ( ) {
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ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
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vec4 minMaxValue = vec4 ( $ { a } ) ;
float prodValue = 1.0 ;
float sumValue = 0.0 ;
float allValue = 1.0 ;
float anyValue = 0.0 ;
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for ( int i = 0 ; i < $ { c } ; i += 4 ) {
int inIdx = inOffset + i ;
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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$ { m }
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}
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int inIdx = inOffset + $ { c } ;
if ( $ { p === 1 } ) {
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { m }
} else if ( $ { p === 2 } ) {
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
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$ { m }
} else if ( $ { p === 3 } ) {
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
$ { m }
}
setOutput ( $ { l } ) ;
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}
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` }};function btt(r){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let e=t.length?t[t.length-1].outSize:r[1],n=k.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:n,outSize:Math.ceil(e/n)})}return t}function Wn(r,t,e,n){let o=btt(r.shape),s=r;for(let i=0;i<o.length;i++){let{inSize:a,windowSize:u,outSize:l}=o[i],c,p;e==="mean"?c=i===0?new Sb({windowSize:u,inSize:a,batchSize:r.shape[0],outSize:l},a):new Sb({windowSize:u,inSize:a,batchSize:r.shape[0],outSize:l}):c=new Pk({windowSize:u,inSize:a,batchSize:r.shape[0],outSize:l},e),p=s,s=n.runWebGLProgram(c,[s],t),p.dataId!==r.dataId&&n.disposeIntermediateTensorInfo(p)}return s}var Mk=class{constructor(t,e){this.variableNames=["A"];let n=new Array(t.length);for(let i=0;i<n.length;i++)n[i]=t[e[i]];this.outputShape=n,this.rank=n.length;let o=Ht(this.rank),s=wtt(e);this.userCode= `
void main ( ) {
$ { o } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { s } ) ) ;
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}
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` }};function wtt(r){let t=r.length;if(t>6)throw Error( ` Transpose for rank $ { t } is not yet supported ` );let e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],n=new Array(t);for(let o=0;o<r.length;o++)n[r[o]]=e[o];return n.join()}var Lk=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(t.length);for(let c=0;c<n.length;c++)n[c]=t[e[c]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error( ` Packed transpose for rank $ { this . rank } is not yet supported . ` );let o=Ht(this.rank),s=Nk("rc",this.rank),i=new Array(this.rank);for(let c=0;c<e.length;c++)i[e[c]]=s[c];let a= ` vec2 ( $ { i . slice ( - 2 ) . join ( ) } ) ` ,u= ` ++ $ { s [ this . rank - 1 ] } < $ { n [ this . rank - 1 ] } ` ,l= ` getChannel ( getA ( $ { i . join ( ) } ) , $ { a } ) ` ;this.userCode= `
void main ( ) {
$ { o } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result [ 0 ] = $ { l } ;
if ( $ { u } ) {
result [ 1 ] = $ { l } ;
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}
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-- $ { s [ this . rank - 1 ] } ;
if ( ++ $ { s [ this . rank - 2 ] } < $ { n [ this . rank - 2 ] } ) {
result [ 2 ] = $ { l } ;
if ( $ { u } ) {
result [ 3 ] = $ { l } ;
}
}
setOutput ( result ) ;
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}
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` }};function au(r,t,e){let n=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Lk(r.shape,t):new Mk(r.shape,t);return e.runWebGLProgram(n,[r],r.dtype)}function YM(r,t,e,n){let o=t,s=r.shape.length,i=x.parseAxisParam(o,r.shape),a=i,u=k.getAxesPermutation(a,s),l=u!=null,c=r;l&&(c=au(r,u,n),a=k.getInnerMostAxes(a.length,s)),k.assertAxesAreInnerMostDims("sum",a,s);let[p,m]=k.computeOutAndReduceShapes(c.shape,a),f=p;e&&(f=k.expandShapeToKeepDim(p,i));let d=x.sizeFromShape(m),g=x.sizeFromShape(r.shape)/d,y=ut({inputs:{x:c},attrs:{shape:[g,d]},backend:n}),b=Tu(r.dtype),w=Wn(y,b,"sum",n),v=ut({inputs:{x:w},attrs:{shape:f},backend:n});return n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(w),l&&n.disposeIntermediateTensorInfo(c),v}function Oc(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;return YM(o,s,i,e)}var ZM={kernelName:Rs,backendName:"webgl",kernelFunc:Oc};function Le(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{perm:s}=n,i=e,a=o.shape.length,u=new Array(a);for(let c=0;c<u.length;c++)u[c]=o.shape[s[c]];let l;if(i.shouldExecuteOnCPU([o])){let p=i.texData.get(o.dataId).values,m= $ c(p,o.shape,o.dtype,s,u);l=i.makeTensorInfo(u,o.dtype);let f=i.texData.get(l.dataId);f.values=m}else l=au(o,s,i);return l}var JM={kernelName:zs,backendName:"webgl",kernelFunc:Le};var zk=1e3;function Pc({a:r,b:t,transposeA:e,transposeB:n,backend:o,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:a=0,activation:u=null}){let l=r.shape.length,c=t.shape.length,p=e?r.shape[l-2]:r.shape[l-1],m=n?t.shape[c-1]:t.shape[c-2],f=e?r.shape[l-1]:r.shape[l-2],d=n?t.shape[c-2]:t.shape[c-1],h=r.shape.slice(0,-2),g=t.shape.slice(0,-2),y=x.sizeFromShape(h),b=x.sizeFromShape(g),v=Mr.assertAndGetBroadcastShape(r.shape.slice(0,-2),t.shape.slice(0,-2)).concat([f,d]);x.assert(p===m,()=> ` Error in matMul : inner shapes ( $ { p } ) and ( $ { m } ) of Tensors with shapes $ { r . shape } and $ { t . shape } and transposeA = $ { e } and transposeB = $ { n } must match . ` );let I=e?[y,p,f]:[y,f,p],E=n?[b,d,m]:[b,m,d],D=ut({inputs:{x:r},backend:o,attrs:{shape:I}}), $ =ut({inputs:{x:t},backend:o,attrs:{shape:E}}),R=[D, $ ],M=Math.max(y,b),W=e?D.shape[1]:D.shape[2],U=s!=null,q=i!=null,K=u==="leakyrelu",j=u!=null?iu(u,!0):null,Q=U||q||K||j!=null,rt;if((f===1||d===1)&&W>zk&&Q===!1){let nt=D,st= $ ;e&&(nt=Le({inputs:{x:D},backend:o,attrs:{perm:[0,2,1]}}),R.push(nt)),n&&(st=Le({inputs:{x: $ },backend:o,attrs:{perm:[0,2,1]}}),R.push(st));let it=d!==1,ft=d===1,at=nt;it&&(at=ut({inputs:{x:nt},backend:o,attrs:{shape:[M,W,1]}}),R.push(at));let xt=d===1?2:1,dt=st;ft&&(dt=ut({inputs:{x:st},backend:o,attrs:{shape:[M,1,W]}}),R.push(dt));let bt=lg({inputs:{a:at,b:dt},backend:o});rt=Oc({inputs:{x:bt},backend:o,attrs:{axis:xt,keepDims:!0}}),R.push(bt)}else{let nt=yr(r.dtype,t.dtype),st=new ag(I,E,[M,f,d],e,n,U,j,q,K),it=[D, $ ];if(s!=null&&it.push(s),q&&it.push(i),K){let ft=o.makeTensorInfo([],"float32",x.createScalarValue(a,"float32"));it.push(ft),R.push(ft)}rt=o.runWebGLProgram(st,it,nt)}let X=ut({inputs:{x:rt},backend:o,attrs:{shape:v}});R.push(rt);for(let nt of R)o.disposeIntermediateTensorInfo(nt);return X}function vtt(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t,{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n;return Pc({a:o,b:s,transposeA:u,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:p,activation:c})}var QM={kernelName:Ei,backendName:"webgl",kernelFunc:vtt};var tL="return abs(x);";function Ctt(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])&&n.dtype!=="complex64"){let s=e.texData.get(n.dataId),i=bb(s.values);return e.makeTensorInfo(n.shape,n.dtype,i)}let o;return G().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new $ o(n.shape,tL):o=new wn(n.shape,tL),e.runWebGLProgram(o,[n],n.dtype)}var eL={kernelName:di,backendName:"webgl",kernelFunc:Ctt};var Itt=dr+ `
if ( abs ( x ) > 1. ) {
return NAN ;
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}
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return acos ( x ) ;
` ,Stt=Ct({opSnippet:Itt}),rL={kernelName:ji,backendName:"webgl",kernelFunc:Stt};var ktt=dr+ `
if ( x < 1.0 ) return NAN ;
return log ( x + sqrt ( x * x - 1.0 ) ) ; ` ,Ntt=Ct({opSnippet:ktt}),nL={kernelName:Xi,backendName:"webgl",kernelFunc:Ntt};var oL="return a + b;",Ttt=le({opSnippet:oL,packedOpSnippet:oL,supportsComplex:!0,cpuKernelImpl:zP}),sL={kernelName:Kn,backendName:"webgl",kernelFunc:Ttt};var Bk=class{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((s,i)=> ` T$ { i } ` );let n=[];this.variableNames.forEach(s=>{n.push( ` float v$ { s } = get$ { s } AtOutCoords ( ) ; ` )});let o=this.variableNames.map(s=> ` v$ { s } ` ).join(" + ");this.userCode= `
void main ( ) {
$ { n . join ( `
` )}
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float result = $ { o } ;
setOutput ( result ) ;
}
` }};var Vk=class{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((s,i)=> ` T$ { i } ` );let n=[];this.variableNames.forEach(s=>{n.push( ` vec4 v$ { s } = get$ { s } AtOutCoords ( ) ; ` )});let o=this.variableNames.map(s=> ` v$ { s } ` ).join(" + ");this.userCode= `
void main ( ) {
$ { n . join ( `
` )}
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vec4 result = $ { o } ;
setOutput ( result ) ;
}
` }};function kb(r){let{inputs:t,backend:e}=r,n=t;if(n.length===1)return er({inputs:{x:n[0]},backend:e});if(n.length>G().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let u=Math.floor(n.length/2),l=kb({inputs:n.slice(0,u),backend:e}),c=kb({inputs:n.slice(u),backend:e});return kb({inputs:[l,c],backend:e})}let o=n.map(u=>u.dtype).reduce((u,l)=>yr(u,l)),s=n.map(u=>u.shape),a=G().getBool("WEBGL_PACK")?new Vk(n[0].shape,s):new Bk(n[0].shape,s);return e.runWebGLProgram(a,n,o)}var iL={kernelName:qo,backendName:"webgl",kernelFunc:kb};function _tt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=x.parseAxisParam(s,o.shape),l=u,c=k.getAxesPermutation(l,a),p=o;c!=null&&(p=Le({inputs:{x:o},backend:e,attrs:{perm:c}}),l=k.getInnerMostAxes(l.length,a)),k.assertAxesAreInnerMostDims("all",l,a);let[m,f]=k.computeOutAndReduceShapes(p.shape,l),d=x.sizeFromShape(f),h=ut({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Wn(h,h.dtype,"all",e),y;if(i){let b=k.expandShapeToKeepDim(m,u);y=ut({inputs:{x:g},backend:e,attrs:{shape:b}})}else y=ut({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),y}var aL={kernelName:Yi,backendName:"webgl",kernelFunc:_tt};function Ett(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=x.parseAxisParam(s,o.shape),l=u,c=k.getAxesPermutation(l,a),p=o;c!=null&&(p=Le({inputs:{x:o},backend:e,attrs:{perm:c}}),l=k.getInnerMostAxes(l.length,a)),k.assertAxesAreInnerMostDims("any",l,a);let[m,f]=k.computeOutAndReduceShapes(p.shape,l),d=x.sizeFromShape(f),h=ut({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Wn(h,h.dtype,"any",e),y;if(i){let b=k.expandShapeToKeepDim(m,u);y=ut({inputs:{x:g},backend:e,attrs:{shape:b}})}else y=ut({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),y}var lL={kernelName:Zi,backendName:"webgl",kernelFunc:Ett};var Gk=class{constructor(t,e,n){this.variableNames=["A"];let{windowSize:o,batchSize:s,outSize:i}=t;n||this.variableNames.push("bestIndicesA"),this.outputShape=[s,i];let a=e==="max"?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode= `
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { o } ;
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int bestIndex = inOffset ;
float bestValue = getA ( batch , bestIndex ) ;
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for ( int i = 0 ; i < $ { o } ; i ++ ) {
int inIdx = $ { u } ;
float candidate = getA ( batch , inIdx ) ;
if ( candidate $ { a } bestValue ) {
bestValue = candidate ;
bestIndex = inIdx ;
}
}
setOutput ( float ( bestIndex ) ) ;
}
` }};var Wk=class{constructor(t,e,n,o){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,x.assert(t.length>2,()=> ` Packed arg$ { n . charAt ( 0 ) . toUpperCase ( ) + n . slice ( 1 ) } supports only inputs with rank above 2. ` );let s=t[t.length-1],i=Math.ceil(s/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),o||this.variableNames.push("bestIndicesA");let a=this.outputShape,u=a.length,l=Ht(u),c=tr("coords",u),p,m;if(i===1){m=u+1;let $ =Ht(m);p= `
$ { $ } sourceLocR = $ { $ } ( $ { c . join ( ) } , 0 ) ;
++ $ { c [ u - 1 ] } ;
$ { $ } sourceLocG = $ { $ } ( $ { c . join ( ) } , 0 ) ;
++ $ { c [ u - 2 ] } ;
$ { $ } sourceLocA = $ { $ } ( $ { c . join ( ) } , 0 ) ;
-- $ { c [ u - 1 ] } ;
$ { $ } sourceLocB = $ { $ } ( $ { c . join ( ) } , 0 ) ;
-- $ { c [ u - 2 ] } ; ` }else m=u,p= `
$ { l } sourceLocR = coords ;
++ $ { c [ u - 1 ] } ;
$ { l } sourceLocG = coords ;
++ $ { c [ u - 2 ] } ;
$ { l } sourceLocA = coords ;
-- $ { c [ u - 1 ] } ;
$ { l } sourceLocB = coords ;
-- $ { c [ u - 2 ] } ; ` ;let f=["x","y","z","w","u","v"].slice(0,m),d="."+f[m-1],h=f.map( $ =>"int "+ $ ),g=tr("sourceLocR",m-1).concat("inIdx.r"),y=tr("sourceLocG",m-1).concat("inIdx.g"),b=tr("sourceLocB",m-1).concat("inIdx.b"),w=tr("sourceLocA",m-1).concat("inIdx.a"),v=n==="max"?"greaterThan":"lessThan",I=o?"": `
inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { g . join ( ) } ) ,
getBestIndicesAChannel ( $ { y . join ( ) } ) ,
getBestIndicesAChannel ( $ { b . join ( ) } ) ,
getBestIndicesAChannel ( $ { w . join ( ) } ) ) ) ; ` ,E= ` vec4 (
getAChannel ( $ { g . join ( ) } ) ,
hasNextCol ? getAChannel ( $ { y . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { b . join ( ) } ) : 0. ,
hasNextRow && hasNextCol ? getAChannel ( $ { w . join ( ) } ) : 0. ) ` ,D=o?"": `
float getBestIndicesAChannel ( $ { h . join ( ) } ) {
return getChannel ( getBestIndicesA ( $ { f . join ( ) } ) ,
vec2 ( $ { f . slice ( - 2 ) . join ( ) } ) ) ;
} ` ;this.userCode= `
float getAChannel ( $ { h . join ( ) } ) {
return getChannel ( getA ( $ { f . join ( ) } ) ,
vec2 ( $ { f . slice ( - 2 ) . join ( ) } ) ) ;
}
$ { D }
void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
bool hasNextCol = $ { c [ u - 1 ] } < $ { a [ u - 1 ] - 1 } ;
bool hasNextRow = $ { c [ u - 2 ] } < $ { a [ u - 2 ] - 1 } ;
$ { p }
ivec4 srcIdx = ivec4 ( sourceLocR$ { d } , sourceLocG$ { d } ,
sourceLocB$ { d } , sourceLocA$ { d } ) * $ { e } ;
ivec4 inIdx = srcIdx ;
vec4 bestIndex = vec4 ( inIdx ) ;
vec4 bestValue = $ { E } ;
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for ( int i = 0 ; i < $ { e } ; i ++ ) {
inIdx = srcIdx ;
$ { I }
vec4 candidate = $ { E } ;
bvec4 nan = isnan ( candidate ) ;
bvec4 replace = bvec4 (
vec4 ( $ { v } ( candidate , bestValue ) ) * ( vec4 ( 1.0 ) - vec4 ( nan ) ) ) ;
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bestValue = vec4 ( replace . x ? candidate . x : bestValue . x ,
replace . y ? candidate . y : bestValue . y ,
replace . z ? candidate . z : bestValue . z ,
replace . w ? candidate . w : bestValue . w ) ;
bestIndex = mix ( bestIndex , vec4 ( inIdx ) , vec4 ( replace ) ) ;
srcIdx ++ ;
}
setOutput ( bestIndex ) ;
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}
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` }};function uL(r,t,e,n=null){let o=t.shape[0],s=t.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let i=k.computeOptimalWindowSize(s),a={windowSize:i,inSize:s,batchSize:o,outSize:Math.ceil(s/i)},u=new Gk(a,e,n==null),l=[t];n!=null&&l.push(n);let c=r.runWebGLProgram(u,l,"int32");if(c.shape[1]===1)return c;let p=uL(r,t,e,c);return r.disposeIntermediateTensorInfo(c),p}function cL(r,t,e,n=null){let o=n!=null?n.shape:t.shape,s=o[o.length-1],i=k.computeOptimalWindowSize(s),a=new Wk(o,i,e,n==null),u=n==null?[t]:[t,n],l=r.runWebGLProgram(a,u,"int32");if(l.shape.length===t.shape.length){let c=cL(r,t,e,l);return r.disposeIntermediateTensorInfo(l),c}return l}function Nb(r,t,e,n){let o=[e];if(k.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),o,t.shape.length),!G().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=r.texData.get(t.dataId),a=i!==null&&i.isPacked,u=t;a&&(u=r.unpackTensor(t),s.push(u));let[l,c]=k.computeOutAndReduceShapes(u.shape,o),p=x.sizeFromShape(c),m=ut({inputs:{x:u},backend:r,attrs:{shape:[-1,p]}});s.push(m);let f=uL(r,m,n);s.push(f);let d=ut({inputs:{x:f},backend:r,attrs:{shape:l}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),d}return cL(r,t,n)}function Att(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=x.parseAxisParam(s,o.shape),a=k.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Le({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=k.getInnerMostAxes(i.length,u.shape.length)),k.assertAxesAreInnerMostDims("argMax",[i[0]],u.shape.length);let c=Nb(e,u,i[0],"max");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var pL={kernelName:Ko,backendName:"webgl",kernelFunc:Att};function Dtt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=x.parseAxisParam(s,o.shape),a=k.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Le({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=k.getInnerMostAxes(i.length,u.shape.length)),k.assertAxesAreInnerMostDims("argMin",[i[0]],u.shape.length);let c=Nb(e,u,i[0],"min");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var mL={kernelName:wl,backendName:"webgl",kernelFunc:Dtt};var $ tt=dr+ `
if ( abs ( x ) > 1. ) {
return NAN ;
}
return asin ( x ) ;
` ,Rtt=Ct({opSnippet: $ tt}),fL={kernelName:Ji,backendName:"webgl",kernelFunc:Rtt};var Ftt=dr+"return log(x + sqrt(x * x + 1.0));",Ott=Ct({opSnippet:Ftt}),dL={kernelName:Qi,backendName:"webgl",kernelFunc:Ott};var Ptt=dr+ `
return atan ( x ) ;
` ,Mtt=Ct({opSnippet:Ptt}),hL={kernelName:ta,backendName:"webgl",kernelFunc:Mtt};var Ltt=UM+ `
return atan ( a , b ) ;
` ,ztt= `
vec4 result = atan ( a , b ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
` +HM+ `
return result ;
` ,Btt=le({opSnippet:Ltt,packedOpSnippet:ztt}),gL={kernelName:ra,backendName:"webgl",kernelFunc:Btt};var Vtt=dr+ `
if ( ( x < - 1.0 ) || ( x > 1.0 ) ) return NAN ;
return ( log ( 1.0 + x ) - log ( 1.0 - x ) ) / 2.0 ; ` ,Gtt=Ct({opSnippet:Vtt}),xL={kernelName:ea,backendName:"webgl",kernelFunc:Gtt};var Hi=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=["x"],e==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let i=t.filterWidth,a=t.strideHeight,u=t.strideWidth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterHeight,m=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;let h=e==="avg",g= ` ( ( batch * $ { t . inHeight } + xR ) * $ { t . inWidth } + xC ) * $ { t . inChannels } + d ` ,y= ` ( xR * $ { t . inWidth } + xC ) * $ { t . inChannels } + d ` ,b="0.0";if(h||(b="-1.0 / 1e-20"),n){let $ =">=";this.userCode= `
const ivec2 strides = ivec2 ( $ { a } , $ { u } ) ;
const ivec2 pads = ivec2 ( $ { f } , $ { d } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
float avgValue = 0.0 ;
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for ( int wR = 0 ; wR < $ { p } ;
wR += $ { l } ) {
int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { m } ;
wC += $ { c } ) {
int xC = xCCorner + wC ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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float value = getX ( batch , xR , xC , d ) ;
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// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
if ( value $ { $ } currMinMaxValue ) {
minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { o ? s ? g : y : ` wR * ${ m } + wC ` } ;
}
}
}
setOutput ( float ( minMaxPosition ) ) ;
}
` ;return}let w="max",v= ` $ { e } ( $ { e } ( $ { e } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;e==="avg"&&(v="avgValue / count");let I=Math.floor(i/4)*4,E=i%4,D= `
if ( $ { h } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { w } ( values , minMaxValue ) ;
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}
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` ;this.userCode= `
const ivec2 strides = ivec2 ( $ { a } , $ { u } ) ;
const ivec2 pads = ivec2 ( $ { f } , $ { d } ) ;
const float initializationValue = $ { b } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
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float count = 0.0 ;
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float getValue ( int batch , int xR , int xC , int d ) {
if ( xC < 0 || xC >= $ { t . inWidth } ) {
return initializationValue ;
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}
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count += 1.0 ;
return getX ( batch , xR , xC , d ) ;
}
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { b } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wR = 0 ; wR < $ { p } ;
wR += $ { l } ) {
int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { I } ; wC += 4 ) {
int xC = xCCorner + wC * $ { c } ;
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { c } , d ) ,
getValue ( batch , xR , xC + 2 * $ { c } , d ) ,
getValue ( batch , xR , xC + 3 * $ { c } , d )
) ;
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$ { D }
}
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int xC = xCCorner + $ { I } ;
if ( $ { E === 1 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { D }
} else if ( $ { E === 2 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { c } , d ) ,
initializationValue ,
initializationValue
) ;
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$ { D }
} else if ( $ { E === 3 } ) {
vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { c } , d ) ,
getValue ( batch , xR , xC + 2 * $ { c } , d ) ,
initializationValue
) ;
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$ { D }
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}
}
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setOutput ( $ { v } ) ;
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}
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` }},Mc=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=["x"],e==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let i=t.filterWidth,a=t.strideDepth,u=t.strideHeight,l=t.strideWidth,c=t.dilationDepth,p=t.dilationHeight,m=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,g=t.padInfo.front,y=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;let w=e==="avg",v="0.0";if(w||(v="-1.0 / 1e-20"),n){let M=">=";this.userCode= `
const ivec3 strides =
ivec3 ( $ { a } , $ { u } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { g } , $ { y } , $ { b } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
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// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
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for ( int wD = 0 ; wD < $ { f } ;
wD += $ { c } ) {
int xD = xDCorner + wD ;
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if ( xD < 0 || xD >= $ { t . inDepth } ) {
continue ;
}
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for ( int wR = 0 ; wR < $ { d } ;
wR += $ { p } ) {
int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { h } ;
wC += $ { m } ) {
int xC = xCCorner + wC ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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float value = getX ( batch , xD , xR , xC , ch ) ;
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// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
if ( value $ { M } currMinMaxValue ) {
minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { o ? s ? ` (((batch * ${ t . inDepth } + xD) * ${ t . inHeight } + xR) * ${ t . inWidth } + xC) * ${ t . inChannels } + ch ` : ` ((xD * ${ t . inHeight } + xR) * ${ t . inWidth } + xC) * ${ t . inChannels } + ch ` : ` wD * ${ d } * ${ h } +
wR * $ { h } + wC ` };
}
}
}
}
setOutput ( float ( minMaxPosition ) ) ;
}
` ;return}let I="max",E= ` $ { e } ( $ { e } ( $ { e } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;e==="avg"&&(E="avgValue / count");let D=Math.floor(i/4)*4, $ =i%4,R= `
if ( $ { w } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { I } ( values , minMaxValue ) ;
}
` ;this.userCode= `
const ivec3 strides =
ivec3 ( $ { a } , $ { u } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { g } , $ { y } , $ { b } ) ;
const float initializationValue = $ { v } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
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float count = 0.0 ;
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float getValue ( int batch , int xD , int xR , int xC , int ch ) {
if ( xC < 0 || xC >= $ { t . inWidth } ) {
return initializationValue ;
}
count += 1.0 ;
return getX ( batch , xD , xR , xC , ch ) ;
}
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
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// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { v } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wD = 0 ; wD < $ { f } ;
wD += $ { c } ) {
int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { t . inDepth } ) {
continue ;
}
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for ( int wR = 0 ; wR < $ { d } ;
wR += $ { p } ) {
int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { D } ; wC += 4 ) {
int xC = xCCorner + wC * $ { m } ;
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { m } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { m } , ch ) ,
getValue ( batch , xD , xR , xC + 3 * $ { m } , ch )
) ;
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$ { R }
}
int xC = xCCorner + $ { D } ;
if ( $ { $ === 1 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
$ { R }
} else if ( $ { $ === 2 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { m } , ch ) ,
initializationValue ,
initializationValue
) ;
$ { R }
} else if ( $ { $ === 3 } ) {
vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { m } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { m } , ch ) ,
initializationValue
) ;
$ { R }
}
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}
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setOutput ( $ { E } ) ;
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}
}
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` }};function Wtt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;ai(o,"avgPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;x.assert(k.eitherStridesOrDilationsAreOne(i,l),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${l}' ` );let c=k.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&x.arraysEqual(c.inShape,c.outShape))return er({inputs:{x:o},backend:e});let p=new Hi(c,"avg",!1);return e.runWebGLProgram(p,[o],"float32")}var yL={kernelName:jo,backendName:"webgl",kernelFunc:Wtt};function Utt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n,c=[1,1,1],p=k.computePool3DInfo(o.shape,s,i,c,a,u,l),m=new Mc(p,"avg",!1);return e.runWebGLProgram(m,[o],"float32")}var bL={kernelName:vl,backendName:"webgl",kernelFunc:Utt};var Uk=class{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=u-1-t.padInfo.top,p=l-1-t.padInfo.left,m=1/(e*n);this.userCode= `
const ivec2 pads = ivec2 ( $ { c } , $ { p } ) ;
const float avgMultiplier = float ( $ { m } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
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// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { u } ;
wR += $ { i } ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { l } ;
wC += $ { a } ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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float dyValue = getDy ( b , idyR , idyC , d ) ;
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dotProd += dyValue * avgMultiplier ;
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}
}
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setOutput ( dotProd ) ;
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}
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` }},Hk=class{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterDepth,m=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=p-1-t.padInfo.front,h=m-1-t.padInfo.top,g=f-1-t.padInfo.left,y=1/(e*n*o);this.userCode= `
const ivec3 pads = ivec3 ( $ { d } , $ { h } , $ { g } ) ;
const float avgMultiplier = float ( $ { y } ) ;
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void main ( ) {
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ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
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// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wD = 0 ; wD < $ { p } ;
wD += $ { u } ) {
float dyD = float ( dyDCorner + wD ) / $ { s } . 0 ;
if ( dyD < 0.0 || dyD >= $ { t . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
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}
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int idyD = int ( dyD ) ;
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for ( int wR = 0 ; wR < $ { m } ;
wR += $ { l } ) {
float dyR = float ( dyRCorner + wR ) / $ { i } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
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continue ;
}
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int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { f } ;
wC += $ { c } ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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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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}
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` }};function Htt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=k.computePool3DInfo(i.shape,a,u,p,l,c),f=new Hk(m);return e.runWebGLProgram(f,[o],i.dtype)}var wL={kernelName:lp,backendName:"webgl",kernelFunc:Htt};function qtt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;ai([o,s],"avgPoolGrad");let{filterSize:a,strides:u,pad:l}=n,c=k.computePool2DInfo(i.shape,a,u,1,l),p=new Uk(c);return e.runWebGLProgram(p,[o],i.dtype)}var vL={kernelName:ap,backendName:"webgl",kernelFunc:qtt};function Ktt(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;return Pc({a:o,b:s,transposeA:i,transposeB:a,backend:e})}var CL={kernelName:Xo,backendName:"webgl",kernelFunc:Ktt};var qk=class{constructor(t,e,n,o,s,i){this.outputShape=[],this.variableNames=["x","mean","variance"],k.assertAndGetBroadcastShape(t,e),k.assertAndGetBroadcastShape(t,n);let a="0.0";o!=null&&(k.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="1.0";s!=null&&(k.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode= `
void main ( ) {
float x = getXAtOutCoords ( ) ;
float mean = getMeanAtOutCoords ( ) ;
float variance = getVarianceAtOutCoords ( ) ;
float offset = $ { a } ;
float scale = $ { u } ;
float inv = scale * inversesqrt ( variance + float ( $ { i } ) ) ;
setOutput ( dot ( vec3 ( x , - mean , offset ) , vec3 ( inv , inv , 1 ) ) ) ;
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}
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` }};var Kk=class{constructor(t,e,n,o,s,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],k.assertAndGetBroadcastShape(t,e),k.assertAndGetBroadcastShape(t,n);let a="vec4(0.0)";o!=null&&(k.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="vec4(1.0)";s!=null&&(k.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode= `
void main ( ) {
vec4 offset = $ { a } ;
vec4 scale = $ { u } ;
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vec4 x = getXAtOutCoords ( ) ;
vec4 mean = getMeanAtOutCoords ( ) ;
vec4 variance = getVarianceAtOutCoords ( ) ;
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vec4 inv = scale * inversesqrt ( variance + vec4 ( $ { i } ) ) ;
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setOutput ( ( x - mean ) * inv + offset ) ;
}
` }};var jtt=({inputs:r,backend:t,attrs:e})=>{let{x:n,mean:o,variance:s,offset:i,scale:a}=r;x.assert(o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),x.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),x.assert(a==null||o.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:u}=e;u==null&&(u=.001);let l=[n,o,s],c=null;i!=null&&(c=i.shape,l.push(i));let p=null;a!=null&&(p=a.shape,l.push(a));let m=G().getBool("WEBGL_PACK_NORMALIZATION")?new Kk(n.shape,o.shape,s.shape,c,p,u):new qk(n.shape,o.shape,s.shape,c,p,u);return t.runWebGLProgram(m,l,l[0].dtype)},IL={kernelName:ls,backendName:"webgl",kernelFunc:jtt};var Xk=class{constructor(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;let e=Ht(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=Xtt(this.rank),o,s=t.map((i,a)=> ` sourceLoc . $ { jk [ a ] } = start [ $ { a } ] + coords . $ { jk [ a ] } ; ` );o= `
$ { e } sourceLoc ;
$ { e } coords = getOutputCoords ( ) ;
$ { s . join ( `
` )}
` ,this.userCode= `
void main ( ) {
$ { o }
setOutput ( getSource ( $ { n } ) ) ;
}
` }},jk=["x","y","z","w","u","v"];function Xtt(r){if(r===1)return"sourceLoc";if(r<=6)return jk.slice(0,r).map(t=>"sourceLoc."+t).join(",");throw Error( ` Slicing for rank $ { r } is not yet supported ` )}var Yk=class{constructor(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let e=Ht(this.rank),n=tr("coords",this.rank),o=tr("sourceLoc",this.rank),s=this.rank===1?"sourceLoc": ` vec2 ( $ { o . slice ( - 2 ) . join ( ) } ) ` ,i= ` getChannel ( getSource ( $ { o . join ( ) } ) , $ { s } ) ` ,a= `
result . x = $ { i } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { t [ this . rank - 1 ] } ) {
++ $ { o [ this . rank - 1 ] } ;
result . y = $ { i } ;
-- $ { o [ this . rank - 1 ] } ;
}
` ,u=this.rank===1?"": `
-- $ { n [ this . rank - 1 ] } ;
if ( ++ $ { n [ this . rank - 2 ] } < $ { t [ this . rank - 2 ] } ) {
++ $ { o [ this . rank - 2 ] } ;
result . z = $ { i } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { t [ this . rank - 1 ] } ) {
++ $ { o [ this . rank - 1 ] } ;
result . w = $ { i } ;
}
}
` ,l=this.rank<=4? ` sourceLoc = coords +
$ { e } ( $ { t . map ( ( c , p ) => ` start[ ${ p } ] ` ) . join ( ) } ) ; ` :t.map((c,p)=> ` $ { o [ p ] } = $ { n [ p ] } + start [ $ { p } ] ; ` ).join( `
` );this.userCode= `
void main ( ) {
$ { e } coords = getOutputCoords ( ) ;
$ { e } sourceLoc ;
$ { l }
vec4 result = vec4 ( 0. ) ;
$ { a }
$ { u }
setOutput ( result ) ;
}
` }};function Ytt(r,t,e,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(e,r.dtype),i=n.texData.get(s.dataId);Object.assign(i,o),i.refCount=1,i.shape=e,i.dtype=r.dtype;let a=Ve.computeFlatOffset(t,x.computeStrides(r.shape));o.slice&&(a+=o.slice.flatOffset),i.slice={flatOffset:a,origDataId:o.slice&&o.slice.origDataId||r.dataId};let u=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,u+1),s}function ci(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n,[a,u]=Ve.parseSliceParams(o,s,i);if(Ve.assertParamsValid(o,a,u),x.sizeFromShape(u)===0)return e.makeTensorInfo(u,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype==="string"){let p=e.texData.get(o.dataId),m=pM(p.values,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,m)}let{isPacked:l}=e.texData.get(o.dataId),c=Ve.isSliceContinous(o.shape,a,u);if(l||!c){let p=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Yk(u):new Xk(u),m=[a];return e.runWebGLProgram(p,[o],o.dtype,m)}return e.uploadToGPU(o.dataId),Ytt(o,a,u,e)}var SL={kernelName:Si,backendName:"webgl",kernelFunc:ci};var Ztt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;x.assert(o.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let a=s.reduce((b,w)=>b*w),u=k.getReshaped(o.shape,s,a),l=k.getPermuted(u.length,s.length),c=k.getReshapedPermuted(o.shape,s,a),p=k.getSliceBeginCoords(i,s.length),m=k.getSliceSize(c,i,s.length),f=[],d=ut({inputs:{x:o},backend:e,attrs:{shape:u}}),h=Le({inputs:{x:d},backend:e,attrs:{perm:l}}),g=ut({inputs:{x:h},backend:e,attrs:{shape:c}}),y=ci({inputs:{x:g},backend:e,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>e.disposeIntermediateTensorInfo(b)),y},kL={kernelName:hi,backendName:"webgl",kernelFunc:Ztt};function Jtt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.readSync(o.dataId),u=e.readSync(s.dataId),l=yb(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var NL={kernelName:up,backendName:"webgl",kernelFunc:Jtt};function Qtt(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.readSync(n.dataId),i=e.readSync(o.dataId),a=k.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],"int32",Int32Array.from(a))}var TL={kernelName:cp,backendName:"webgl",kernelFunc:Qtt};var tet="return float(a != b);",Zk=le({opSnippet:tet,cpuKernelImpl:iM,dtype:"bool"}),_L={kernelName:ba,backendName:"webgl",kernelFunc:Zk};function ml(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return er({inputs:{x:o.complexTensorInfos.real},backend:e})}var EL={kernelName:Ap,backendName:"webgl",kernelFunc:ml};var eet="return float(int(x));";function AL(r,t){let e=new wn(r.shape,eet),n=t.runWebGLProgram(e,[r],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function Jk(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s==="complex64"){if(o.dtype==="complex64")return er({inputs:{x:o},backend:e});let i=ye(o.shape),a=Jk({inputs:{x:o},backend:e,attrs:{dtype:"float32"}}),u=Dn({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),u}if(o.dtype==="complex64"){let i=ml({inputs:{input:o},backend:e}),a=Jk({inputs:{x:i},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(i),a}if(!x.hasEncodingLoss(o.dtype,s)){let i=er({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(s==="int32")return AL(o,e);if(s==="bool"){let i=e.makeTensorInfo([],"bool",x.getTypedArrayFromDType("bool",1)),u=Zk({inputs:{a:o,b:i},backend:e});return e.disposeIntermediateTensorInfo(i),u}throw new Error( ` Error in Cast : failed to cast $ { o . dtype } to $ { s } ` )}var DL={kernelName:no,backendName:"webgl",kernelFunc:Jk};var $ L="return ceil(x);",ret=Ct({opSnippet: $ L,packedOpSnippet: $ L,cpuKernelImpl:VP}),RL={kernelName:Yo,backendName:"webgl",kernelFunc:ret};var Qk=class{constructor(t){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode= `
void main ( ) {
float value = getAAtOutCoords ( ) ;
if ( isnan ( value ) ) {
setOutput ( value ) ;
return ;
}
setOutput ( clamp ( value , minVal , maxVal ) ) ;
}
` }};var tN=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode= `
void main ( ) {
vec4 value = getAAtOutCoords ( ) ;
if ( any ( isnan ( value ) ) ) {
setOutput ( value ) ;
return ;
}
setOutput ( clamp ( value , vec4 ( minVal ) , vec4 ( maxVal ) ) ) ;
}
` }};function net(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a;G().getBool("WEBGL_PACK_CLIP")?a=new tN(o.shape):a=new Qk(o.shape);let u=[[s],[i]];return e.runWebGLProgram(a,[o],o.dtype,u)}var FL={kernelName:oo,backendName:"webgl",kernelFunc:net};var eN=class{constructor(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode= `
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 ) )
) ;
}
` }};function OL(r,t){return{dataId:t.dataId,dtype:t.dtype,shape:r.shape}}function oet(r){let{inputs:t,backend:e}=r,{x:n}=t,o=e.texData.get(n.dataId),s=new eN(n.shape),i=[OL(n,o.complexTensorInfos.real),OL(n,o.complexTensorInfos.imag)];return e.runWebGLProgram(s,i,i[0].dtype)}var PL={kernelName:Cl,backendName:"webgl",kernelFunc:oet};var rN=class{constructor(t){this.outputShape=[],this.outputShape=k.computeOutShape(t,1),this.variableNames=t.map((i,a)=> ` T$ { a } ` );let e=new Array(t.length-1);e[0]=t[0][1];for(let i=1;i<e.length;i++)e[i]=e[i-1]+t[i][1];let n=[ ` if ( yC < $ { e [ 0 ] } ) setOutput ( getT0 ( yR , yC ) ) ; ` ];for(let i=1;i<e.length;i++){let a=e[i-1];n.push( ` else if ( yC < $ { e [ i ] } ) setOutput ( getT$ { i } ( yR , yC - $ { a } ) ) ; ` )}let o=e.length,s=e[e.length-1];n.push( ` else setOutput ( getT$ { o } ( yR , yC - $ { s } ) ) ; ` ),this.userCode= `
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int yR = coords . x ;
int yC = coords . y ;
$ { n . join ( `
` )}
}
` }};var nN=class{constructor(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=k.computeOutShape(t,e);let n=this.outputShape,o=n.length,s=Ht(o),i=tr("coords",o),a=["x","y","z","w","u","v"].slice(0,o);this.variableNames=t.map((h,g)=> ` T$ { g } ` );let u=new Array(t.length-1);u[0]=t[0][e];for(let h=1;h<u.length;h++)u[h]=u[h-1]+t[h][e];let l=a[e],c=a.slice(-2),p=a.join(),m= ` if ( $ { l } < $ { u [ 0 ] } ) {
return getChannel (
getT0 ( $ { p } ) , vec2 ( $ { c . join ( ) } ) ) ;
} ` ;for(let h=1;h<u.length;h++){let g=u[h-1];m+= `
if ( $ { l } < $ { u [ h ] } && $ { l } >= $ { u [ h - 1 ] } ) {
return getChannel (
getT$ { h } ( $ { Tb ( a , l , g ) } ) ,
vec2 ( $ { Tb ( c , l , g ) } ) ) ;
} ` }let f=u.length,d=u[u.length-1];m+= `
return getChannel (
getT$ { f } ( $ { Tb ( a , l , d ) } ) ,
vec2 ( $ { Tb ( c , l , d ) } ) ) ; ` ,this.userCode= `
float getValue ( $ { a . map ( h => "int " + h ) } ) {
$ { m }
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}
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void main ( ) {
$ { s } coords = getOutputCoords ( ) ;
vec4 result = vec4 ( getValue ( $ { i } ) , 0. , 0. , 0. ) ;
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$ { i [ o - 1 ] } = $ { i [ o - 1 ] } + 1 ;
if ( $ { i [ o - 1 ] } < $ { n [ o - 1 ] } ) {
result . g = getValue ( $ { i } ) ;
}
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$ { i [ o - 2 ] } = $ { i [ o - 2 ] } + 1 ;
if ( $ { i [ o - 2 ] } < $ { n [ o - 2 ] } ) {
result . a = getValue ( $ { i } ) ;
}
$ { i [ o - 1 ] } = $ { i [ o - 1 ] } - 1 ;
if ( $ { i [ o - 2 ] } < $ { n [ o - 2 ] } &&
$ { i [ o - 1 ] } < $ { n [ o - 1 ] } ) {
result . b = getValue ( $ { i } ) ;
}
setOutput ( result ) ;
}
` }};function Tb(r,t,e){let n=r.indexOf(t);return r.map((s,i)=>i===n? ` $ { s } - $ { e } ` :s).join()}function Lc(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return er({inputs:{x:o.complexTensorInfos.imag},backend:e})}var ML={kernelName:Ip,backendName:"webgl",kernelFunc:Lc};function zc(r,t,e){let n=r[0].dtype;if(n==="complex64"){let c=r.map(h=>ml({inputs:{input:h},backend:e})),p=r.map(h=>Lc({inputs:{input:h},backend:e})),m=zc(c,t,e),f=zc(p,t,e),d=Dn({inputs:{real:m,imag:f},backend:e});return c.forEach(h=>e.disposeIntermediateTensorInfo(h)),p.forEach(h=>e.disposeIntermediateTensorInfo(h)),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}let o=e.shouldExecuteOnCPU(r);if(n==="string"&&(o=!0),o){let c=r.map(y=>{let b=x.sizeFromShape(y.shape.slice(t));return ut({inputs:{x:y},backend:e,attrs:{shape:[-1,b]}})}),p=c.map(y=>({vals:e.readSync(y.dataId),shape:y.shape})),m=k.computeOutShape(c.map(y=>y.shape),1),f=c[0].shape[0]===1,d=GP(p,m,n,f),h=k.computeOutShape(r.map(y=>y.shape),t),g=e.makeTensorInfo(h,n,d);return c.forEach(y=>e.disposeIntermediateTensorInfo(y)),g}if(r.length>G().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){let c=Math.floor(r.length/2),p=zc(r.slice(0,c),t,e),m=zc(r.slice(c),t,e),f=zc([p,m],t,e);return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),f}if(G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&r[0].shape.length>1){let c=new nN(r.map(p=>p.shape),t);return e.runWebGLProgram(c,r,n)}let{tensors2D:s,outShape:i}=set(r,t,e),a=new rN(s.map(c=>c.shape)),u=e.runWebGLProgram(a,s,n);s.forEach(c=>e.disposeIntermediateTensorInfo(c));let l=ut({inputs:{x:u},attrs:{shape:i},backend:e});return e.disposeIntermediateTensorInfo(u),l}function set(r,t,e){let n=k.computeOutShape(r.map(s=>s.shape),t);return{tensors2D:r.map(s=>ut({inputs:{x:s},attrs:{shape:[-1,x.sizeFromShape(s.shape.slice(t))]},backend:e})),outShape:n}}function oN(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n,s=x.parseAxisParam(o,t[0].shape)[0],i=k.computeOutShape(t.map(l=>l.shape),s);if(x.sizeFromShape(i)===0)return e.makeTensorInfo(i,t[0].dtype,[]);let a=t.filter(l=>x.sizeFromShape(l.shape)>0);if(a.length===1)return er({inputs:{x:a[0]},backend:e});let u=a.map(l=>l.shape);return k.assertParamsConsistent(u,s),zc(a,s,e)}var LL={kernelName:gi,backendName:"webgl",kernelFunc:oN};var ug=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=t.outShape;let i=t.padInfo.top,a=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4,g=t.dataFormat==="channelsLast",y=g?1:2,b=g?2:3,w=g?3:1,v="",I="";n&&(o?v= ` float activation ( float a ) {
float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :s?v= ` float activation ( float a ) {
float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :v= `
float activation ( float x ) {
$ { n }
}
` ,I="result = activation(result);");let E=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { v }
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const ivec2 strides = ivec2 ( $ { u } , $ { l } ) ;
const ivec2 pads = ivec2 ( $ { i } , $ { a } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int batch = coords [ 0 ] ;
int d2 = coords [ $ { w } ] ;
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ivec2 xRCCorner =
ivec2 ( coords [ $ { y } ] , coords [ $ { b } ] ) * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
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// ? = to be determined. : = across all values in that axis.
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float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { m } ; wR ++ ) {
int xR = xRCorner + wR * $ { c } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { f } ; wC ++ ) {
int xC = xCCorner + wC * $ { p } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
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continue ;
}
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for ( int d1 = 0 ; d1 < $ { d } ; d1 += 4 ) {
vec4 wValues = vec4 (
getW ( wR , wC , d1 , d2 ) ,
getW ( wR , wC , d1 + 1 , d2 ) ,
getW ( wR , wC , d1 + 2 , d2 ) ,
getW ( wR , wC , d1 + 3 , d2 )
) ;
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if ( $ { g } ) {
vec4 xValues = vec4 (
getX ( batch , xR , xC , d1 ) ,
getX ( batch , xR , xC , d1 + 1 ) ,
getX ( batch , xR , xC , d1 + 2 ) ,
getX ( batch , xR , xC , d1 + 3 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec4 xValues = vec4 (
getX ( batch , d1 , xR , xC ) ,
getX ( batch , d1 + 1 , xR , xC ) ,
getX ( batch , d1 + 2 , xR , xC ) ,
getX ( batch , d1 + 3 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
}
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if ( $ { h === 1 } ) {
if ( $ { g } ) {
dotProd +=
getX ( batch , xR , xC , $ { d } ) *
getW ( wR , wC , $ { d } , d2 ) ;
} else {
dotProd +=
getX ( batch , $ { d } , xR , xC ) *
getW ( wR , wC , $ { d } , d2 ) ;
}
} else if ( $ { h === 2 } ) {
vec2 wValues = vec2 (
getW ( wR , wC , $ { d } , d2 ) ,
getW ( wR , wC , $ { d } + 1 , d2 )
) ;
if ( $ { g } ) {
vec2 xValues = vec2 (
getX ( batch , xR , xC , $ { d } ) ,
getX ( batch , xR , xC , $ { d } + 1 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec2 xValues = vec2 (
getX ( batch , $ { d } , xR , xC ) ,
getX ( batch , $ { d } + 1 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
} else if ( $ { h === 3 } ) {
vec3 wValues = vec3 (
getW ( wR , wC , $ { d } , d2 ) ,
getW ( wR , wC , $ { d } + 1 , d2 ) ,
getW ( wR , wC , $ { d } + 2 , d2 )
) ;
if ( $ { g } ) {
vec3 xValues = vec3 (
getX ( batch , xR , xC , $ { d } ) ,
getX ( batch , xR , xC , $ { d } + 1 ) ,
getX ( batch , xR , xC , $ { d } + 2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec3 xValues = vec3 (
getX ( batch , $ { d } , xR , xC ) ,
getX ( batch , $ { d } + 1 , xR , xC ) ,
getX ( batch , $ { d } + 2 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
}
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}
}
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float result = dotProd ;
$ { E }
$ { I }
setOutput ( result ) ;
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}
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` }},sN=class{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;let e=t.padInfo.front,n=t.padInfo.top,o=t.padInfo.left,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.filterDepth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4;this.userCode= `
const ivec3 strides = ivec3 ( $ { s } , $ { i } , $ { a } ) ;
const ivec3 pads = ivec3 ( $ { e } , $ { n } , $ { o } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
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int d2 = coords . u ;
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ivec3 xFRCCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xFCorner = xFRCCorner . x ;
int xRCorner = xFRCCorner . y ;
int xCCorner = xFRCCorner . z ;
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// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
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float dotProd = 0.0 ;
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for ( int wF = 0 ; wF < $ { p } ; wF ++ ) {
int xF = xFCorner + wF * $ { u } ;
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if ( xF < 0 || xF >= $ { t . inDepth } ) {
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continue ;
}
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for ( int wR = 0 ; wR < $ { m } ; wR ++ ) {
int xR = xRCorner + wR * $ { l } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { f } ; wC ++ ) {
int xC = xCCorner + wC * $ { c } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
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continue ;
}
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for ( int d1 = 0 ; d1 < $ { d } ; d1 += 4 ) {
vec4 xValues = vec4 (
getX ( batch , xF , xR , xC , d1 ) ,
getX ( batch , xF , xR , xC , d1 + 1 ) ,
getX ( batch , xF , xR , xC , d1 + 2 ) ,
getX ( batch , xF , xR , xC , d1 + 3 )
) ;
vec4 wValues = vec4 (
getW ( wF , wR , wC , d1 , d2 ) ,
getW ( wF , wR , wC , d1 + 1 , d2 ) ,
getW ( wF , wR , wC , d1 + 2 , d2 ) ,
getW ( wF , wR , wC , d1 + 3 , d2 )
) ;
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dotProd += dot ( xValues , wValues ) ;
}
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if ( $ { h === 1 } ) {
dotProd +=
getX ( batch , xF , xR , xC , $ { d } ) *
getW ( wF , wR , wC , $ { d } , d2 ) ;
} else if ( $ { h === 2 } ) {
vec2 xValues = vec2 (
getX ( batch , xF , xR , xC , $ { d } ) ,
getX ( batch , xF , xR , xC , $ { d } + 1 )
) ;
vec2 wValues = vec2 (
getW ( wF , wR , wC , $ { d } , d2 ) ,
getW ( wF , wR , wC , $ { d } + 1 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else if ( $ { h === 3 } ) {
vec3 xValues = vec3 (
getX ( batch , xF , xR , xC , $ { d } ) ,
getX ( batch , xF , xR , xC , $ { d } + 1 ) ,
getX ( batch , xF , xR , xC , $ { d } + 2 )
) ;
vec3 wValues = vec3 (
getW ( wF , wR , wC , $ { d } , d2 ) ,
getW ( wF , wR , wC , $ { d } + 1 , d2 ) ,
getW ( wF , wR , wC , $ { d } + 2 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
}
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}
}
}
setOutput ( dotProd ) ;
}
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` }};var iN=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let{dataFormat:n}=e,o=He(),s=n==="channelsLast",i=s?0:1,a=s?1:2,u=this.enableShapeUniforms?"if(blockIndex < outShape[1] && pos < outShape[0]) {": ` if ( blockIndex < $ { t [ 1 ] } && pos < $ { t [ 0 ] } ) { ` ,l="";for(let c=0;c<=1;c++)for(let p=0;p<=1;p++)l+= `
blockIndex = rc . y + $ { p } ;
pos = rc . x + $ { c } ;
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$ { u }
offsetY = int ( blockIndex / outWidth ) * stride [ 0 ] - pad [ 0 ] ;
d0 = offsetY + dilation [ 0 ] * ( pos / itemsPerBlockRow ) ;
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if ( d0 < inputShape [ $ { i } ] && 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 ) ;
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if ( d1 < inputShape [ $ { a } ] && d1 >= 0 ) {
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ch = imod ( pos , inChannels ) ;
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if ( $ { s } ) {
innerDims = vec2 ( d1 , ch ) ;
result [ $ { c * 2 + p } ] = getChannel (
getA ( d0 , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
} else {
innerDims = vec2 ( d0 , d1 ) ;
result [ $ { c * 2 + p } ] = getChannel (
getA ( ch , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
}
}
}
}
` ;this.userCode= `
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void main ( ) {
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ivec2 rc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0 ) ;
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int blockIndex , pos , offsetY , d0 , offsetX , d1 , ch ;
vec2 innerDims ;
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$ { l }
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$ { o . output } = result ;
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}
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` }};function _b({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let u=r.shape,l=n.texData.get(r.dataId),c=e.inChannels,p=u[0]*u[1]*u[2],m=e.outChannels,f=e.dataFormat==="channelsLast",d=!1,h=!1,g,y=[];if(!((p===1||m===1)&&c>zk)&&l.isPacked&&f&&l.texture!=null&&u[2]%2!==0&&x.arraysEqual(l.shape.slice(-3),u.slice(-3))){let v=u[0]*u[1]*(u[2]+1),I={dataId:r.dataId,shape:[1,v,e.inChannels],dtype:r.dtype},E=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,x.assert(ou(l.shape,I.shape),()=> ` packed reshape $ { l . shape } to $ { I . shape } isn ' t free ` );let D=ut({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}});y.push(D);let $ =Pc({a:I,b:D,backend:n,transposeA:d,transposeB:h,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i}),R=n.texData.get( $ .dataId);x.assert(R.isPacked,()=>"batchMatMul result is expected to be packed"),l.shape=E,R.shape=e.outShape,g=er({inputs:{x: $ },backend:n}),g.shape=e.outShape,y.push( $ )}else{let v=f?u[0]*u[1]*u[2]:u[0]*u[2]*u[3],I=ut({inputs:{x:r},backend:n,attrs:{shape:[1,v,e.inChannels]}}),E=ut({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}}),D=Pc({a:I,b:E,transposeA:d,transposeB:h,backend:n,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i});g=ut({inputs:{x:D},backend:n,attrs:{shape:e.outShape}}),y.push(I),y.push(E),y.push(D)}for(let v of y)n.disposeIntermediateTensorInfo(v);return g}function Eb({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let{filterWidth:u,filterHeight:l,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=e,d=f==="channelsLast",h=u*l*c,g=m*p,y=[h,g],b=!0,w=!1,v=[],I=ut({inputs:{x:r},backend:n,attrs:{shape:r.shape.slice(1)}}),E=ut({inputs:{x:t},backend:n,attrs:{shape:[1,h,x.sizeFromShape(t.shape)/h]}});v.push(I),v.push(E);let D=new iN(y,e), $ =[I.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],R=n.runWebGLProgram(D,[I],"float32", $ ),M=ut({inputs:{x:R},backend:n,attrs:{shape:[1,y[0],y[1]]}});v.push(R),v.push(M);let W=o!=null,U=s!=null,q=a==="leakyrelu",K=a?iu(a,!0):null,j=new ag(M.shape,E.shape,[1,g,e.outChannels],b,w,W,K,U,q),Q=[M,E];if(o&&Q.push(o),U&&Q.push(s),q){let st=n.makeTensorInfo([],"float32",x.createScalarValue(i,"float32"));Q.push(st),v.push(st)}let rt=n.runWebGLProgram(j,Q,"float32"),X=d?[1,m,p,e.outChannels]:[1,e.outChannels,m,p],nt=ut({inputs:{x:rt},backend:n,attrs:{shape:X}});v.push(rt);for(let st of v)n.disposeIntermediateTensorInfo(st);return nt}function iet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n,p=k.convertConv2DDataFormat(u),m=k.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type==="SAME"||m.padInfo.type==="VALID"))f=_b({x:o,filter:s,convInfo:m,backend:e});else if(G().getBool("WEBGL_CONV_IM2COL")&&o.shape[0]===1)f=Eb({x:o,filter:s,convInfo:m,backend:e});else{let h=new ug(m);f=e.runWebGLProgram(h,[o,s],"float32")}let d=ut({inputs:{x:f},backend:e,attrs:{shape:m.outShape}});return e.disposeIntermediateTensorInfo(f),d}var zL={kernelName:Zo,backendName:"webgl",kernelFunc:iet};var aN=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.dataFormat==="channelsLast";this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int d2 = coords . w ;
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// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int b = 0 ; b < $ { t . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { t . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { e } - $ { o } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int yC = 0 ; yC < $ { t . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { s } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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if ( $ { i } ) {
float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
} else {
float dyValue = getDy ( b , d2 , yR , yC ) ;
float xValue = getX ( b , d1 , xR , xC ) ;
dotProd += ( xValue * dyValue ) ;
}
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}
}
}
setOutput ( dotProd ) ;
}
` }},lN=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dataFormat==="channelsLast",a=e-1-t.padInfo.top,u=n-1-t.padInfo.left,l=i?1:2,c=i?2:3,p=i?3:1;this.userCode= `
const ivec2 pads = ivec2 ( $ { a } , $ { u } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d1 = coords [ $ { p } ] ;
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ivec2 dyCorner = ivec2 ( coords [ $ { l } ] , coords [ $ { c } ] ) - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
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// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { e } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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int wRPerm = $ { e } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { n } - 1 - wC ;
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for ( int d2 = 0 ; d2 < $ { t . outChannels } ; d2 ++ ) {
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if ( $ { i } ) {
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
} else {
float xValue = getDy ( batch , d2 , idyR , idyC ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
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}
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}
}
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setOutput ( dotProd ) ;
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}
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` }},uN=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode= `
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void main ( ) {
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ivec5 coords = getOutputCoords ( ) ;
int wF = coords . x ;
int wR = coords . y ;
int wC = coords . z ;
int d1 = coords . w ;
int d2 = coords . u ;
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float dotProd = 0.0 ;
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for ( int b = 0 ; b < $ { t . batchSize } ; b ++ ) {
for ( int yF = 0 ; yF < $ { t . outDepth } ; yF ++ ) {
int xF = wF + yF * $ { e } - $ { s } ;
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if ( xF < 0 || xF >= $ { t . inDepth } ) {
continue ;
}
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for ( int yR = 0 ; yR < $ { t . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { n } - $ { i } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int yC = 0 ; yC < $ { t . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { o } - $ { a } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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float dyValue = getDy ( b , yF , yR , yC , d2 ) ;
float xValue = getX ( b , xF , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
}
setOutput ( dotProd ) ;
}
` }},cN=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=e-1-t.padInfo.front,l=n-1-t.padInfo.top,c=o-1-t.padInfo.left;this.userCode= `
const ivec3 pads = ivec3 ( $ { u } , $ { l } , $ { c } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . u ;
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ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyFCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
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float dotProd = 0.0 ;
for ( int wF = 0 ; wF < $ { e } ; wF ++ ) {
float dyF = float ( dyFCorner + wF ) / $ { s } . 0 ;
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if ( dyF < 0.0 || dyF >= $ { t . outDepth } . 0 || fract ( dyF ) > 0.0 ) {
continue ;
}
int idyF = int ( dyF ) ;
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int wFPerm = $ { e } - 1 - wF ;
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for ( int wR = 0 ; wR < $ { n } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { i } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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int wRPerm = $ { n } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { o } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { o } - 1 - wC ;
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for ( int d2 = 0 ; d2 < $ { t . outChannels } ; d2 ++ ) {
float xValue = getDy ( batch , idyF , idyR , idyC , d2 ) ;
float wValue = getW ( wFPerm , wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
}
}
}
setOutput ( dotProd ) ;
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}
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` }};function aet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,dataFormat:u,dimRoundingMode:l,filterShape:c}=n,p=k.convertConv2DDataFormat(u),m=k.computeConv2DInfo(o.shape,c,i,1,a,l,!1,p),f=new aN(m);return e.runWebGLProgram(f,[o,s],"float32")}var BL={kernelName:mp,backendName:"webgl",kernelFunc:aet};function uet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{inputShape:i,strides:a,pad:u,dataFormat:l,dimRoundingMode:c}=n,p=k.convertConv2DDataFormat(l),m=k.computeConv2DInfo(i,s.shape,a,1,u,c,!1,p),f=new lN(m);return e.runWebGLProgram(f,[o,s],"float32")}var VL={kernelName:Jo,backendName:"webgl",kernelFunc:uet};function cet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=k.computeConv3DInfo(o.shape,s.shape,i,u,a),c=new sN(l);return e.runWebGLProgram(c,[o,s],"float32")}var GL={kernelName:Il,backendName:"webgl",kernelFunc:cet};function pet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,filterShape:u}=n,l=k.computeConv3DInfo(o.shape,u,i,1,a),c=new uN(l);return e.runWebGLProgram(c,[o,s],"float32")}var WL={kernelName:fp,backendName:"webgl",kernelFunc:pet};function met(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{pad:i,strides:a,inputShape:u}=n,l=k.computeConv3DInfo(u,s.shape,a,1,i),c=new cN(l);return e.runWebGLProgram(c,[o,s],"float32")}var UL={kernelName:dp,backendName:"webgl",kernelFunc:met};var fet=Fo+ `
return cos ( x ) ;
` ,det=Ct({opSnippet:fet}),HL={kernelName:Qo,backendName:"webgl",kernelFunc:det};var het= `
float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
` ,get=Ct({opSnippet:het}),qL={kernelName:ts,backendName:"webgl",kernelFunc:get};var pN=class{constructor(t,e,n,o,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[i,a,u,l]=t,[c]=e,[p,m]=n;this.outputShape=[c,p,m,l];let f=o==="bilinear"?1:0,[d,h]=[ ` $ { a - 1 } . 0 ` , ` $ { u - 1 } . 0 ` ],[g,y,b]=p>1?[ ` $ { ( a - 1 ) / ( p - 1 ) } ` ,"(y2-y1) * height_ratio", ` y1 * $ { d } + float ( y ) * ( height _scale ) ` ]:["0.0","0.0", ` 0.5 * ( y1 + y2 ) * $ { d } ` ],[w,v,I]=m>1?[ ` $ { ( u - 1 ) / ( m - 1 ) } ` ,"(x2-x1) * width_ratio", ` x1 * $ { h } + float ( x ) * ( width _scale ) ` ]:["0.0","0.0", ` 0.5 * ( x1 + x2 ) * $ { h } ` ];this.userCode= `
const float height _ratio = float ( $ { g } ) ;
const float width _ratio = float ( $ { w } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
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int y = coords [ 1 ] ;
int x = coords [ 2 ] ;
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int d = coords [ 3 ] ;
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// get box vals
float y1 = getBoxes ( b , 0 ) ;
float x1 = getBoxes ( b , 1 ) ;
float y2 = getBoxes ( b , 2 ) ;
float x2 = getBoxes ( b , 3 ) ;
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// get image in batch index
int bInd = round ( getBoxInd ( b ) ) ;
if ( bInd < 0 || bInd >= $ { i } ) {
return ;
}
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float height _scale = $ { y } ;
float width _scale = $ { v } ;
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float in _y = $ { b } ;
if ( in _y < 0.0 || in _y > $ { d } ) {
setOutput ( float ( $ { s } ) ) ;
return ;
}
float in _x = $ { I } ;
if ( in _x < 0.0 || in _x > $ { h } ) {
setOutput ( float ( $ { s } ) ) ;
return ;
}
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vec2 sourceFracIndexCR = vec2 ( in _x , in _y ) ;
if ( $ { f } == 1 ) {
// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2 ( sourceFracIndexCR ) ;
ivec2 sourceCeilCR = ivec2 ( ceil ( sourceFracIndexCR ) ) ;
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float topLeft = getImage ( b , sourceFloorCR . y , sourceFloorCR . x , d ) ;
float bottomLeft = getImage ( b , sourceCeilCR . y , sourceFloorCR . x , d ) ;
float topRight = getImage ( b , sourceFloorCR . y , sourceCeilCR . x , d ) ;
float bottomRight = getImage ( b , sourceCeilCR . y , sourceCeilCR . x , d ) ;
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vec2 fracCR = sourceFracIndexCR - vec2 ( sourceFloorCR ) ;
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float top = topLeft + ( topRight - topLeft ) * fracCR . x ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracCR . x ;
float newValue = top + ( bottom - top ) * fracCR . y ;
setOutput ( newValue ) ;
} 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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` }};var xet=r=>{let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,c=new pN(o.shape,s.shape,a,u,l);return e.runWebGLProgram(c,[o,s,i],"float32")},KL={kernelName:na,backendName:"webgl",kernelFunc:xet};var Ab=class{constructor(t,e,n){this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}],this.outputShape=t;let o=t.length,s=e?"0.0": ` getX ( $ { jL ( o , "coords" ) } ) ` ,i=t[t.length-1],a="",u="";e?(a=n? ` end != $ { i - 1 } ` :"end != 0",u=n?"end + 1":"end - 1"):(a=n? ` end + pow2 < $ { i } ` :"end >= pow2",u=n?"end + pow2":"end - pow2"),this.userCode= `
void main ( ) {
$ { Ht ( o ) } coords = getOutputCoords ( ) ;
int end = $ { XL ( o , "coords" ) } ;
float val = $ { s } ;
int pow2 = int ( pow ( 2.0 , index ) ) ;
if ( $ { a } ) {
int idx = $ { u } ;
$ { XL ( o , "coords" ) } = idx ;
val += getX ( $ { jL ( o , "coords" ) } ) ;
}
setOutput ( val ) ;
}
` }};function jL(r,t){if(r===1)return ` $ { t } ` ;if(r===2)return ` $ { t } . x , $ { t } . y ` ;if(r===3)return ` $ { t } . x , $ { t } . y , $ { t } . z ` ;if(r===4)return ` $ { t } . x , $ { t } . y , $ { t } . z , $ { t } . w ` ;throw Error( ` Cumulative sum for rank $ { r } is not yet supported ` )}function XL(r,t){if(r===1)return ` $ { t } ` ;if(r===2)return ` $ { t } . y ` ;if(r===3)return ` $ { t } . z ` ;if(r===4)return ` $ { t } . w ` ;throw Error( ` Cumulative sum for rank $ { r } is not yet supported ` )}function yet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n,u=o.shape.length,l=k.getAxesPermutation([s],u),c=o;l!=null&&(c=Le({inputs:{x:o},backend:e,attrs:{perm:l}}));let p=k.getInnerMostAxes(1,u)[0];if(p!==u-1)throw new Error( ` WebGL cumsum shader expects an inner - most axis = $ { o . shape . length - 1 } but got axis = $ { s } ` );let m=c.shape[p],f=er({inputs:{x:c},backend:e});for(let d=0;d<=Math.ceil(Math.log2(m))-1;d++){let h=new Ab(c.shape,!1,a),g=[[d]],y=f;f=e.runWebGLProgram(h,[f],f.dtype,g),e.disposeIntermediateTensorInfo(y)}if(i){let d=new Ab(c.shape,i,a),h=f;f=e.runWebGLProgram(d,[f],f.dtype),e.disposeIntermediateTensorInfo(h)}if(l!=null){let d=k.getUndoAxesPermutation(l),h=Le({inputs:{x:f},backend:e,attrs:{perm:d}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(c),h}return f}var YL={kernelName:es,backendName:"webgl",kernelFunc:yet};function bet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i,binaryOutput:a}=n;if(o.shape.length===1){let u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=yb(u,l,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,c)}else if(o.shape.length===2){let u=e.bufferSync(o),l=e.bufferSync(s),c=BP(u,l,i,a);return e.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error( ` Error in denseBincount : input must be at most rank 2 , but got rank$ { o . shape . length } . ` )}var ZL={kernelName:hp,backendName:"webgl",kernelFunc:bet};var mN=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int h = $ { this . getHeightCoordString ( ) } ;
int w = $ { this . getWidthCoordString ( ) } ;
int d = $ { this . getDepthCoordString ( ) } ;
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int in _h = h / $ { e } ;
int offset _h = imod ( h , $ { e } ) ;
int in _w = w / $ { e } ;
int offset _w = imod ( w , $ { e } ) ;
int offset _d = ( offset _h * $ { e } + offset _w ) *
$ { this . getOutputDepthSize ( ) } ;
int in _d = d + offset _d ;
float result = $ { this . getInputSamplingString ( ) } ;
setOutput ( result ) ;
}
` }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 wet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i==="NHWC"?o.shape[1]:o.shape[2],l=i==="NHWC"?o.shape[2]:o.shape[3],c=i==="NHWC"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i==="NHWC"?[a,p,m,f]:[a,f,p,m],h=new mN(d,s,i);return e.runWebGLProgram(h,[o],o.dtype)}var JL={kernelName:oa,backendName:"webgl",kernelFunc:wet};var cg=class{constructor(t,e=!1,n=null,o=!1,s=!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=t.outShape,this.enableShapeUniforms=De(this.outputShape.length);let i=t.filterHeight,a=t.filterWidth,u=t.outChannels/t.inChannels,l="",c="";n&&(o?l= ` float activation ( float a ) {
float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :s?l= ` float activation ( float a ) {
float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :l= `
float activation ( float x ) {
$ { n }
}
` ,c="result = activation(result);");let p=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { l }
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 / $ { u } ;
int q = d2 - d1 * $ { u } ;
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int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
for ( int wR = 0 ; wR < $ { i } ; wR ++ ) {
int xR = xRCorner + wR * dilations [ 0 ] ;
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if ( xR < 0 || xR >= inDims [ 0 ] ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { a } ; wC ++ ) {
int xC = xCCorner + wC * dilations [ 1 ] ;
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if ( xC < 0 || xC >= inDims [ 1 ] ) {
continue ;
}
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float xVal = getX ( batch , xR , xC , d1 ) ;
float wVal = getW ( wR , wC , d1 , q ) ;
dotProd += xVal * wVal ;
}
}
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float result = dotProd ;
$ { p }
$ { c }
setOutput ( result ) ;
}
` }};var pg=class{constructor(t,e=!1,n=null,o=!1,s=!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=t.outShape,this.enableShapeUniforms=De(this.outputShape.length);let i=t.outChannels/t.inChannels,a=t.padInfo.left,u=t.strideWidth,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,m=p,f= `
int xR ; int xC ; int xCOffset ;
vec4 wTexel ; vec4 previous ; vec4 final ; ` ;for(let y=0;y<p;y++)f+= `
vec4 xTexelC$ { y * 2 } ;
int xTexelC$ { y * 2 } Ready ;
vec4 xTexelC$ { y * 2 + 1 } ;
int xTexelC$ { y * 2 + 1 } Ready ;
vec4 xC$ { y } ; ` ;f+= `
for ( int r = 0 ; r < $ { c } ; r ++ ) {
` ;for(let y=0;y<p;y++)f+= `
xTexelC$ { y * 2 } = vec4 ( 0.0 ) ;
xTexelC$ { y * 2 } Ready = 0 ;
xTexelC$ { y * 2 + 1 } = vec4 ( 0.0 ) ;
xTexelC$ { y * 2 + 1 } Ready = 0 ;
xC$ { y } = vec4 ( 0.0 ) ; ` ;f+= `
xR = xRCorner + r * dilations [ 0 ] ;
if ( xR >= 0 && xR < inDims [ 0 ] ) {
` ;for(let y=0;y<(m+1)/2;y++){let b=y*2;if(f+= `
xC = xCCorner + $ { b * l } ;
` ,u===1){if(b<p&&(a%2===1?(f+= `
xCOffset = xC + 1 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xCOffset , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
` ,l===1&&b>0?f+= `
xC$ { b } = vec4 ( xTexelC$ { b - 2 } . zw , xTexelC$ { b } . xy ) ;
` :f+= `
xCOffset = xC + 1 - 2 ;
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if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
previous = getX ( batch , xR , xCOffset , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
previous . zw = vec2 ( 0.0 ) ;
}
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xC$ { b } = vec4 ( previous . zw , xTexelC$ { b } . xy ) ;
} else {
xC$ { b } = vec4 ( 0.0 , 0.0 , xTexelC$ { b } . xy ) ;
}
` ):f+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
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xC$ { b } = xTexelC$ { b } ;
` ,b+1<p)){let w=a%2===0?x.nearestLargerEven(l):l;l%2===0&&a%2===1||l%2!==0&&a%2!==1?(f+= `
xCOffset = xC + imod ( pads [ 1 ] , 2 ) + $ { w } ;
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if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
` ,l>1&&(f+= `
xCOffset -= 2 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xCOffset , d1 ) ;
xTexelC$ { b } Ready = 1 ;
}
` ),f+= `
xC$ { b + 1 } = vec4 ( xTexelC$ { b } . zw , xTexelC$ { b + 1 } . xy ) ;
` ):w===1?f+= `
xC$ { b + 1 } = xTexelC$ { b } ;
` :f+= `
xCOffset = xC + $ { w } ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
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xC$ { b + 1 } = xTexelC$ { b + 1 } ;
` }}else b<p&&(a%2===1?(f+= `
xCOffset = xC + 1 - strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
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if ( xC + 1 >= 0 && xC + 1 < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xC + 1 , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xC + 2 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
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xC$ { b } = vec4 ( xTexelC$ { b } . zw , xTexelC$ { b + 1 } . zw ) ;
` ,b+1<p&&(f+= `
final = vec4 ( 0.0 ) ;
xCOffset = xC + 1 + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
final = getX ( batch , xR , xCOffset , d1 ) ;
}
xC$ { b + 1 } = vec4 ( xTexelC$ { b + 1 } . xy , final . xy ) ;
` )):(f+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
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xCOffset = xC + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0. ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
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xC$ { b } = vec4 (
xTexelC$ { b } . xy , xTexelC$ { b + 1 } . xy ) ;
` ,b+1<p&&(f+= `
xC$ { b + 1 } = vec4 ( xTexelC$ { b } . zw , xTexelC$ { b + 1 } . zw ) ;
` )));b<p&&(f+= `
wTexel = getW ( r , $ { b } , d1 , q ) ;
dotProd += xC$ { b } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ,b+1<p&&(f+= `
wTexel = getW ( r , $ { b + 1 } , d1 , q ) ;
dotProd += xC$ { b + 1 } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ))}f+= `
}
` ,f+= `
}
` ;let d="",h="";n&&(o?d= ` vec4 activation ( vec4 a ) {
vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :s?d= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :d= ` vec4 activation ( vec4 x ) {
$ { n }
} ` ,h="result = activation(result);");let g=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { d }
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 / $ { i } ;
int q = d2 - d1 * $ { i } ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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//intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.
vec4 dotProd = vec4 ( 0.000000000000001 ) ;
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$ { f }
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vec4 result = dotProd - vec4 ( 0.000000000000001 ) ;
$ { g }
$ { h }
setOutput ( result ) ;
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}
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` }};function vet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u,dimRoundingMode:l}=n,c=u;c==null&&(c=[1,1]),x.assert(k.eitherStridesOrDilationsAreOne(i,c),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { i } and dilations '${c}' ` );let p=k.computeConv2DInfo(o.shape,s.shape,i,c,a,l,!0),m;G().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels===1?m=new pg(p):m=new cg(p);let f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return e.runWebGLProgram(m,[o,s],"float32",f)}var QL={kernelName:rs,backendName:"webgl",kernelFunc:vet};var fN=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int dm = coords . w ;
int d2 = d1 * $ { i } + dm ;
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float dotProd = 0.0 ;
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// TO DO: Vec4 over the batch size
for ( int b = 0 ; b < $ { t . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { t . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { e } - $ { o } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int yC = 0 ; yC < $ { t . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { s } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
setOutput ( dotProd ) ;
}
` }},dN=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode= `
const ivec2 pads = ivec2 ( $ { i } , $ { a } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int batch = coords [ 0 ] ;
int d1 = coords [ 3 ] ;
ivec2 dyCorner = coords . yz - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
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float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { e } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
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continue ;
}
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int idyR = int ( dyR ) ;
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int wRPerm = $ { e } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
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continue ;
}
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int idyC = int ( dyC ) ;
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int wCPerm = $ { n } - 1 - wC ;
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// TO DO: Vec4 over the channelMul
for ( int dm = 0 ; dm < $ { u } ; dm ++ ) {
int d2 = d1 * $ { u } + dm ;
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , dm ) ;
dotProd += xValue * wValue ;
}
}
}
setOutput ( dotProd ) ;
}
` }};function Cet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,filterShape:c}=n,p=k.computeConv2DInfo(o.shape,c,i,a,u,l,!0),m=new fN(p);return e.runWebGLProgram(m,[o,s],"float32")}var tz={kernelName:gp,backendName:"webgl",kernelFunc:Cet};function Iet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,inputShape:c}=n,p=k.computeConv2DInfo(c,s.shape,i,a,u,l,!0),m=new dN(p);return e.runWebGLProgram(m,[o,s],"float32")}var ez={kernelName:xp,backendName:"webgl",kernelFunc:Iet};var hN=class{constructor(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode= `
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
float val = coords [ 0 ] == coords [ 1 ] ? getX ( coords [ 0 ] ) : 0.0 ;
setOutput ( val ) ;
}
` }};function ket(r){let{inputs:t,backend:e}=r,{x:n}=t,o=[...n.shape,...n.shape],s=x.sizeFromShape(n.shape),i=ut({inputs:{x:n},backend:e,attrs:{shape:[s]}}),a=new hN(s),u=e.runWebGLProgram(a,[i],i.dtype),l=ut({inputs:{x:u},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(u),l}var rz={kernelName:yp,backendName:"webgl",kernelFunc:ket};var gN=class{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;let{inHeight:e,inWidth:n,padInfo:o,strideHeight:s,strideWidth:i,filterHeight:a,filterWidth:u,dilationHeight:l,dilationWidth:c}=t,{top:p,left:m}=o;this.userCode= `
const ivec2 strides = ivec2 ( $ { s } , $ { i } ) ;
const ivec2 pads = ivec2 ( $ { p } , $ { m } ) ;
const float neg _infinity = - 3.4 e38 ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . w ;
ivec2 outTopLeftCorner =
coords . yz * strides - pads ;
int hBeg = outTopLeftCorner . x ;
int wBeg = outTopLeftCorner . y ;
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float curVal = neg _infinity ;
for ( int h = 0 ; h < $ { a } ; h ++ ) {
int hIn = hBeg + h * $ { l } ;
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if ( hIn >= 0 && hIn < $ { e } ) {
for ( int w = 0 ; w < $ { u } ; w ++ ) {
int wIn = wBeg + w * $ { c } ;
if ( wIn >= 0 && wIn < $ { n } ) {
float xVal = getX ( batch , hIn , wIn , d1 ) ;
float wVal = getW ( h , w , d1 ) ;
float val = xVal + wVal ;
if ( val > curVal ) {
curVal = val ;
}
}
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}
}
}
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float result = curVal ;
setOutput ( result ) ;
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}
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` }};function Net(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=k.computeDilation2DInfo(o.shape,s.shape,i,a,"NHWC",u),c,p=new gN(l);c=e.runWebGLProgram(p,[o,s],"float32");let m=ut({inputs:{x:c},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(c),m}var nz={kernelName:Sl,backendName:"webgl",kernelFunc:Net};function Tet(r){let{inputs:t,backend:e,attrs:n}=r,{equation:o}=n,s=t,{allDims:i,summedDims:a,idDims:u}=k.decodeEinsumEquation(o,s.length);k.checkEinsumDimSizes(i.length,u,s);let{path:l,steps:c}=k.getEinsumComputePath(a,u),p=c.length,m=null,f=i.length,d=[];for(let h=0;h<p;++h){for(let g of c[h]){let{permutationIndices:y,expandDims:b}=k.getEinsumPermutation(f,u[g]),w;k.isIdentityPermutation(y)?w=s[g]:(w=Le({inputs:{x:s[g]},backend:e,attrs:{perm:y}}),d.push(w));let v=w.shape.slice();for(let I=0;I<b.length;++I)v.splice(b[I],0,1);x.arraysEqual(w.shape,v)||(w=ut({inputs:{x:w},backend:e,attrs:{shape:v}}),d.push(w)),m===null?m=w:(m=lg({inputs:{a:w,b:m},backend:e}),d.push(m))}h<p-1&&(l[h]>=0&&(m=Oc({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var oz={kernelName:bp,backendName:"webgl",kernelFunc:Tet};var _et="return (x >= 0.0) ? x : (exp(x) - 1.0);",Eet= `
vec4 result ;
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result . r = ( x . r >= 0.0 ) ? x . r : ( exp ( x . r ) - 1.0 ) ;
result . g = ( x . g >= 0.0 ) ? x . g : ( exp ( x . g ) - 1.0 ) ;
result . b = ( x . b >= 0.0 ) ? x . b : ( exp ( x . b ) - 1.0 ) ;
result . a = ( x . a >= 0.0 ) ? x . a : ( exp ( x . a ) - 1.0 ) ;
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return result ;
` ,Aet=Ct({opSnippet:_et,packedOpSnippet:Eet}),sz={kernelName:os,backendName:"webgl",kernelFunc:Aet};var Det="return (b >= 1.0) ? a : a * (b + 1.0);", $ et= `
vec4 bGTEZero = vec4 ( greaterThanEqual ( b , vec4 ( 0. ) ) ) ;
return ( bGTEZero * a ) + ( ( vec4 ( 1.0 ) - bGTEZero ) * ( a * ( b + vec4 ( 1.0 ) ) ) ) ;
` ,Ret=r=>{let{inputs:t,backend:e}=r,{dy:n,y:o}=t,s=G().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ui( $ et,n.shape,o.shape):new Ro(Det,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],n.dtype)},iz={kernelName:wp,backendName:"webgl",kernelFunc:Ret};var Fet= `
return vec4 ( equal ( a , b ) ) ;
` ,Oet="return float(a == b);",Pet=le({opSnippet:Oet,packedOpSnippet:Fet,dtype:"bool",cpuKernelImpl:WP}),az={kernelName:ia,backendName:"webgl",kernelFunc:Pet};var Met= `
// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
float p = $ { k . ERF _P } ;
float a1 = $ { k . ERF _A1 } ;
float a2 = $ { k . ERF _A2 } ;
float a3 = $ { k . ERF _A3 } ;
float a4 = $ { k . ERF _A4 } ;
float a5 = $ { k . ERF _A5 } ;
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float sign = sign ( x ) ;
x = abs ( x ) ;
float t = 1.0 / ( 1.0 + p * x ) ;
return sign * ( 1.0 - ( ( ( ( ( a5 * t + a4 ) * t ) + a3 ) * t + a2 ) * t + a1 ) * t * exp ( - x * x ) ) ;
` ,Let=Ct({opSnippet:Met}),lz={kernelName:sa,backendName:"webgl",kernelFunc:Let};var zet=Fo+ `
return exp ( x ) ;
` ,Bet= `
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 ;
` ,xN=Ct({opSnippet:zet,packedOpSnippet:Bet,cpuKernelImpl:UP,dtype:"float32"}),uz={kernelName:ss,backendName:"webgl",kernelFunc:xN};function Db(r){let{inputs:t,attrs:e,backend:n}=r,{dim:o}=e,{input:s}=t,i=s.shape.length,a=s.shape.slice(),u=o;return o<0&&(x.assert(-(i+1)<=o,()=> ` Axis must be in the interval [ $ { - ( i + 1 ) } , $ { i } ] ` ),u=i+o+1),a.splice(u,0,1),ut({inputs:{x:s},backend:n,attrs:{shape:a}})}var cz={kernelName:xi,backendName:"webgl",kernelFunc:Db};var pz="return exp(x) - 1.0;",Vet=Ct({opSnippet:pz,packedOpSnippet:pz,cpuKernelImpl:HP}),mz={kernelName:aa,backendName:"webgl",kernelFunc:Vet};var $ b=class{constructor(t,e,n){this.variableNames=["real","imag"];let o=e[1];this.outputShape=e;let s=n? ` 2.0 * $ { Math . PI } ` : ` - 2.0 * $ { Math . PI } ` ,i=n? ` $ { o } . 0 ` :"1.0",a;if(t==="real")a="return real * expR - imag * expI;";else if(t==="imag")a="return real * expI + imag * expR;";else throw new Error( ` FFT component must be either "real" or "imag" , got $ { t } . ` );this.userCode= `
const float exponentMultiplier = $ { s } ;
float unaryOpComplex ( float real , float expR , float imag , float expI ) {
$ { a }
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}
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float mulMatDFT ( int batch , int index ) {
float indexRatio = float ( index ) / float ( $ { o } ) ;
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio ;
float result = 0.0 ;
for ( int i = 0 ; i < $ { o } ; 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 ) ;
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result +=
unaryOpComplex ( real , expR , imag , expI ) / $ { i } ;
}
return result ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
setOutput ( mulMatDFT ( coords [ 0 ] , coords [ 1 ] ) ) ;
}
` }};function Rb(r,t,e){let n=e.texData.get(r.dataId),o=x.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],i=o/s,a=ut({inputs:{x:r},backend:e,attrs:{shape:[i,s]}}),u=a.shape,l=new $ b("real",u,t),c=new $ b("imag",u,t),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],m=e.runWebGLProgram(l,p,"float32"),f=e.runWebGLProgram(c,p,"float32"),d=Dn({inputs:{real:m,imag:f},backend:e});e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f);let h=ut({inputs:{x:d},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(d),h}function Get(r){let{inputs:t,backend:e}=r,{input:n}=t;return Rb(n,!1,e)}var fz={kernelName:vp,backendName:"webgl",kernelFunc:Get};var yN=class{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=t,this.userCode= `
void main ( ) {
// Input can be obtained from uniform value.
setOutput ( value ) ;
}
` }};function fl(r){let{backend:t,attrs:e}=r,{shape:n,value:o}=e,{dtype:s}=e;if(s=s||x.inferDtype(o),s==="string"){let i=x.getArrayFromDType(s,x.sizeFromShape(n));return i.fill(o),t.makeTensorInfo(n,s,i)}else{let i=new yN(n,o),a=[[o]];return t.runWebGLProgram(i,[],s,a)}}var dz={kernelName:kl,backendName:"webgl",kernelFunc:fl};var bN=class{constructor(t){this.variableNames=["Image"],this.outputShape=[];let e=t[2];this.outputShape=t,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
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int coordX = $ { e } - x - 1 ;
float outputValue ;
if ( coordX >= 0 && coordX < $ { e } ) {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coordX , coords [ 3 ] ) ;
} else {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coords [ 2 ] , coords [ 3 ] ) ;
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}
setOutput ( outputValue ) ;
}
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` }};var hz={kernelName:la,backendName:"webgl",kernelFunc:({inputs:r,backend:t})=>{let{image:e}=r,n=t,o=new bN(e.shape);return n.runWebGLProgram(o,[e],e.dtype)}};var gz="return floor(x);",Wet=Ct({opSnippet:gz,packedOpSnippet:gz,cpuKernelImpl:qP}),xz={kernelName:is,backendName:"webgl",kernelFunc:Wet};var Uet= `
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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` ,Het= `
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 ] ) ;
}
if ( cond [ 3 ] ) {
result [ 3 ] = idiv ( ia [ 3 ] , ib [ 3 ] , s [ 3 ] ) ;
}
return vec4 ( result ) ;
` ,qet=le({opSnippet:Uet,packedOpSnippet:Het,dtype:"int32"}),yz={kernelName:as,backendName:"webgl",kernelFunc:qet};var wN=class{constructor(t){this.variableNames=["A"];let e=He(),[n,o]=t;this.outputShape=t,this.userCode= `
void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { o } . 0 , $ { n } . 0 ) ;
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vec4 values = $ { e . 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 ) ) ;
}
` }};var vN=class{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let e=He(),[n,o]=t;this.outputShape=t,this.userCode= `
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 ( $ { o } . 0 , $ { n } . 0 ) ;
vec4 values = $ { e . 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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}
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result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
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}
}
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$ { e . output } = result ;
}
` }};var bz={kernelName:bf,backendName:"webgl",kernelFunc:Ket},Jm;function Ket(r){let{inputs:t,backend:e,attrs:n}=r,{pixels:o}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!="undefined"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement!="undefined"&&o instanceof HTMLImageElement,[u,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[l,u],p=[l,u,s];(a||i)&&(Jm==null&&(Jm=document.createElement("canvas").getContext("2d")),Jm.canvas.width=u,Jm.canvas.height=l,Jm.drawImage(o,0,0,u,l),o=Jm.canvas);let m=e.makeTensorInfo(c,"int32");e.texData.get(m.dataId).usage=Ur.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(m.dataId),o);let f=G().getBool("WEBGL_PACK")?new vN(p):new wN(p),d=e.runWebGLProgram(f,[m],"int32");return e.disposeData(m.dataId),d}function jet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=k.convertConv2DDataFormat(c),g=k.computeConv2DInfo(o.shape,s.shape,u,p,l,m,!1,h),y,b=[];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=_b({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else if(G().getBool("WEBGL_CONV_IM2COL")&&o.shape[0]===1)y=Eb({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else{let v=i!=null,I=a!=null,E=f==="leakyrelu",D=f?iu(f,!1):null, $ =new ug(g,v,D,I,E),R=[o,s];if(i&&R.push(i),a&&R.push(a),E){let M=e.makeTensorInfo([],"float32",x.createScalarValue(d,"float32"));R.push(M),b.push(M)}y=e.runWebGLProgram( $ ,R,"float32")}let w=ut({inputs:{x:y},backend:e,attrs:{shape:g.outShape}});return b.push(y),b.forEach(v=>e.disposeIntermediateTensorInfo(v)),w}var wz={kernelName:Ai,backendName:"webgl",kernelFunc:jet};function Xet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),x.assert(k.eitherStridesOrDilationsAreOne(u,h),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { u } and dilations '${h}' ` );let g=k.computeConv2DInfo(o.shape,s.shape,u,h,l,p,!0),y=G().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?iu(m,y):null,w=[o,s],v=i!=null,I=a!=null,E=m==="leakyrelu";if(v&&w.push(i),I&&w.push(a),E){let M=e.makeTensorInfo([],"float32",x.createScalarValue(f,"float32"));w.push(M),d.push(M)}let D;y?D=new pg(g,v,b,I,E):D=new cg(g,v,b,I,E);let $ =[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],R=e.runWebGLProgram(D,w,"float32", $ );return d.forEach(M=>e.disposeIntermediateTensorInfo(M)),R}var vz={kernelName:Di,backendName:"webgl",kernelFunc:Xet};var CN=class{constructor(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;let o=Ht(e.length),s=Ht(n.length),i=this.sliceDim>1?"strides[j]":"strides";this.userCode= `
$ { o } strides = $ { o } ( $ { this . strides } ) ;
void main ( ) {
$ { s } coords = getOutputCoords ( ) ;
int flattenIndex = 0 ;
for ( int j = 0 ; j < $ { this . sliceDim } ; j ++ ) {
int index = round ( getIndices ( coords [ 0 ] , j ) ) ;
flattenIndex += index * $ { i } ;
}
setOutput ( getX ( flattenIndex , coords [ 1 ] ) ) ;
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}
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` }};function Yet(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=o.shape,i=s[s.length-1],a=x.sizeFromShape(n.shape),[u,l,c,p]=k.prepareAndValidate(n,o),m=ut({inputs:{x:o},backend:e,attrs:{shape:[l,i]}}),f=ut({inputs:{x:n},backend:e,attrs:{shape:[x.sizeFromShape(n.shape)/c,c]}});if(e.shouldExecuteOnCPU([n,o])||n.dtype==="string"){let y=e.readSync(o.dataId),b=e.bufferSync(n),w=KP(y,b,n.dtype,l,i,c,p,n.shape,a);return e.makeTensorInfo(u,n.dtype,w.values)}let d=new CN(i,p,[l,c]),h=e.runWebGLProgram(d,[f,m],f.dtype),g=ut({inputs:{x:h},backend:e,attrs:{shape:u}});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(h),g}var Cz={kernelName:ua,backendName:"webgl",kernelFunc:Yet};var IN=class{constructor(t,e){this.variableNames=["A","indices"],this.outputShape=e,this.rank=e.length;let n=Ht(this.rank),o=Zet(t,2);this.userCode= `
void main ( ) {
$ { n } resRC = getOutputCoords ( ) ;
int index = int ( getIndices ( resRC . x , resRC . z ) ) ;
float inBounds = ( index >= 0 ) && ( index < $ { t [ 2 ] } ) ? 1.0 : 0.0 ;
setOutput ( inBounds * getA ( $ { o } ) ) ;
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}
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` }};function Zet(r,t){let e=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let o=0;o<r.length;o++)o===2?n.push("index"):n.push( ` $ { e [ o ] } ` );return n.join()}function SN(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,indices:s}=t,{axis:i,batchDims:a}=n,u=x.parseAxisParam(i,o.shape)[0];if(G().get("DEBUG")){let b=e.readSync(s.dataId),w=o.shape[u];for(let v=0;v<b.length;++v){let I=b[v];x.assert(I<=w-1&&I>=0,()=> ` GatherV2 : the index value $ { I } is not in [ 0 , $ { w - 1 } ] ` )}}let l=k.segment_util.collectGatherOpShapeInfo(o,s,u,a),c=x.sizeFromShape(s.shape),p=[],m=ut({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=ut({inputs:{x:s},backend:e,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(m),p.push(f);let d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(e.shouldExecuteOnCPU([o,s])||o.dtype==="string"){let b=e.bufferSync(f),w=e.bufferSync(m),v=jP(w,b,d);return p.forEach(I=>e.disposeIntermediateTensorInfo(I)),e.makeTensorInfo(l.outputShape,v.dtype,v.values)}let h=new IN(m.shape,d),g=e.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let y=ut({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),y}var Iz={kernelName:yi,backendName:"webgl",kernelFunc:SN};var Jet="return float(a > b);",Qet= `
return vec4 ( greaterThan ( a , b ) ) ;
` ,trt=le({opSnippet:Jet,packedOpSnippet:Qet,cpuKernelImpl:XP,dtype:"bool"}),Sz={kernelName:ca,backendName:"webgl",kernelFunc:trt};var ert="return float(a >= b);",rrt= `
return vec4 ( greaterThanEqual ( a , b ) ) ;
` ,nrt=le({opSnippet:ert,packedOpSnippet:rrt,dtype:"bool",cpuKernelImpl:YP}),kz={kernelName:us,backendName:"webgl",kernelFunc:nrt};function ort(r){let{inputs:t,backend:e}=r,{input:n}=t;return Rb(n,!0,e)}var Nz={kernelName:Cp,backendName:"webgl",kernelFunc:ort};var srt="return float(!isnan(x) && !isinf(x));",irt=Ct({opSnippet:srt,dtype:"bool"}),Tz={kernelName:pa,backendName:"webgl",kernelFunc:irt};var art="return float(isinf(x));",lrt=Ct({opSnippet:art,dtype:"bool"}),_z={kernelName:ma,backendName:"webgl",kernelFunc:lrt};var urt="return float(isnan(x));",crt=Ct({opSnippet:urt,dtype:"bool"}),Ez={kernelName:fa,backendName:"webgl",kernelFunc:crt};var prt="return float(a < b);",mrt= `
return vec4 ( lessThan ( a , b ) ) ;
` ,frt=le({opSnippet:prt,packedOpSnippet:mrt,cpuKernelImpl:ZP,dtype:"bool"}),Az={kernelName:da,backendName:"webgl",kernelFunc:frt};var drt="return float(a <= b);",hrt= `
return vec4 ( lessThanEqual ( a , b ) ) ;
` ,grt=le({opSnippet:drt,packedOpSnippet:hrt,cpuKernelImpl:JP,dtype:"bool"}),Dz={kernelName:ha,backendName:"webgl",kernelFunc:grt};function xrt(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=QP(n,o,s);return t.makeTensorInfo([i.length],"float32",i)}var $ z={kernelName:Sp,backendName:"webgl",kernelFunc:xrt};var yrt=Fo+ `
return x < 0.0 ? 0. / 0. : log ( x ) ;
` ,brt= `
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 ;
` ,wrt=Ct({opSnippet:yrt,packedOpSnippet:brt,cpuKernelImpl:tM}),Rz={kernelName:ps,backendName:"webgl",kernelFunc:wrt};var vrt=Fo+ `
return log ( 1.0 + x ) ;
` ,Crt=Ct({opSnippet:vrt}),Fz={kernelName:ga,backendName:"webgl",kernelFunc:Crt};var Irt="return float(a >= 1.0 && b >= 1.0);",Srt= `
return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
` ,krt=le({opSnippet:Irt,packedOpSnippet:Srt,dtype:"bool"}),Oz={kernelName:xa,backendName:"webgl",kernelFunc:krt};var Nrt="return float(!(x >= 1.0));",Trt=Ct({opSnippet:Nrt}),Pz={kernelName:bu,backendName:"webgl",kernelFunc:Trt};var _rt="return float(a >= 1.0 || b >= 1.0);",Ert= `
return min (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) +
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ,
vec4 ( 1.0 ) ) ;
` ,Art=le({opSnippet:_rt,packedOpSnippet:Ert,dtype:"bool"}),Mz={kernelName:wu,backendName:"webgl",kernelFunc:Art};var kN=class{constructor(t,e,n,o,s){this.variableNames=["x"],this.outputShape=[];let i=e,a=t[3]-1;this.outputShape=t;let u,l= ` float ( $ { n } ) + float ( $ { o } ) * sum ` ;s===.5?u= ` inversesqrt ( $ { l } ) ` :s===1?u= ` 1.0 / ( $ { l } ) ` :u= ` exp ( log ( $ { l } ) * float ( - $ { s } ) ) ; ` ,this.userCode= `
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void main ( ) {
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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 = - $ { i } ; j <= $ { i } ; j ++ ) {
int idx = d + j ;
if ( idx >= 0 && idx <= $ { a } ) {
float z = getX ( b , r , c , idx ) ;
sum += z * z ;
}
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}
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float val = x * $ { u } ;
setOutput ( val ) ;
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}
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` }};var NN=class{constructor(t,e,n,o,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let i=e,a=t[3]-1;this.outputShape=t;let u,l= ` float ( $ { n } ) + float ( $ { o } ) * sum ` ;s===.5?u= ` inversesqrt ( $ { l } ) ` :s===1?u= ` 1.0 / ( $ { l } ) ` :u= ` exp ( log ( $ { l } ) * float ( - $ { s } ) ) ; ` ,this.userCode= `
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 - $ { i } ;
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 = - $ { i } ; j <= $ { i } ; j ++ ) {
ivec2 idx = depth + j ;
bvec2 aboveLowerBound = greaterThanEqual ( idx , ivec2 ( 0 ) ) ;
bvec2 belowUpperBound = lessThanEqual ( idx , ivec2 ( $ { a } ) ) ;
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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 * $ { u } ;
setOutput ( result ) ;
}
` }};var Drt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n,l=G().getBool("WEBGL_PACK_NORMALIZATION")?new NN(o.shape,s,i,a,u):new kN(o.shape,s,i,a,u);return e.runWebGLProgram(l,[o],o.dtype)},Lz={kernelName:Nl,backendName:"webgl",kernelFunc:Drt};var TN=class{constructor(t,e,n,o,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=o,this.beta=s,this.userCode= `
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 - $ { e } ) ) ) ;
int depthEnd = int ( min ( float ( $ { this . depth } ) ,
float ( d + $ { e } + 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 ( $ { o } ) * 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 ( $ { o } )
* float ( $ { s } )
* getInputImage ( b , r , c , k ) * getOutputImage ( b , r , c , d )
/ n o r m ;
if ( k == d ) {
dyi += pow ( norm , - 1.0 * $ { s } ) ;
}
if ( k == coords [ 3 ] ) {
dyi *= getDy ( b , r , c , d ) ;
result += dyi ;
}
}
else {
break ;
}
}
}
setOutput ( result ) ;
}
` }};var $ rt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o,y:s,dy:i}=t,{depthRadius:a,bias:u,alpha:l,beta:c}=n,p=new TN(o.shape,a,u,l,c);return e.runWebGLProgram(p,[o,s,i],o.dtype)},zz={kernelName:kp,backendName:"webgl",kernelFunc: $ rt};function Bz(r,t,e,n){let o=x.sizeFromShape(t),i=x.sizeFromShape(r.shape)/o,a=ut({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Wn(a,r.dtype,"max",n),l=ut({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}function _N(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reductionIndices:s,keepDims:i}=n,a=o.shape.length,u=x.parseAxisParam(s,o.shape),l=u,c=k.getAxesPermutation(l,a),p=c!=null,m=e.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=e.texData.get(f.dataId).values,v=new Array(a);for(let D=0;D<v.length;D++)v[D]=o.shape[c[D]];let I= $ c(w,o.shape,o.dtype,c,v);f=e.makeTensorInfo(v,o.dtype);let E=e.texData.get(f.dataId);E.values=I}else f=au(o,c,e);l=k.getInnerMostAxes(l.length,a)}k.assertAxesAreInnerMostDims("max",l,a);let[d,h]=k.computeOutAndReduceShapes(f.shape,l),g=d;i&&(g=k.expandShapeToKeepDim(d,u));let y;if(m){let w=e.texData.get(f.dataId).values,v=eM(w,x.sizeFromShape(h),g,o.dtype);y=e.makeTensorInfo(g,o.dtype);let I=e.texData.get(y.dataId);I.values=v}else y=Bz(f,h,g,e);return p&&e.disposeIntermediateTensorInfo(f),y}var Vz={kernelName:ms,backendName:"webgl",kernelFunc:_N};var Rrt=Cb+ `
return max ( a , b ) ;
` ,Frt= `
vec4 result = vec4 ( max ( a , b ) ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
` +su+ `
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return result ;
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` ,Ort=le({opSnippet:Rrt,packedOpSnippet:Frt,cpuKernelImpl:rM}),Gz={kernelName:fs,backendName:"webgl",kernelFunc:Ort};function Prt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;ai(o,"maxPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;x.assert(k.eitherStridesOrDilationsAreOne(i,l),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${l}' ` );let c=k.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&x.arraysEqual(c.inShape,c.outShape))return er({inputs:{x:o},backend:e});let p=new Hi(c,"max",!1);return e.runWebGLProgram(p,[o],o.dtype)}var Wz={kernelName:ds,backendName:"webgl",kernelFunc:Prt};function Mrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dataFormat:u,dimRoundingMode:l}=n,c=[1,1,1],p=k.computePool3DInfo(o.shape,s,i,c,a,l,u),m=new Mc(p,"max",!1);return e.runWebGLProgram(m,[o],o.dtype)}var Uz={kernelName:Tl,backendName:"webgl",kernelFunc:Mrt};var EN=class{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;let e=t.strideHeight,n=t.strideWidth,o=t.dilationHeight,s=t.effectiveFilterHeight,i=t.effectiveFilterWidth,a=s-1-t.padInfo.top,u=i-1-t.padInfo.left,l=s*i-1;this.userCode= `
const ivec2 pads = ivec2 ( $ { a } , $ { u } ) ;
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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 < $ { s } ;
wR += $ { o } ) {
float dyR = float ( dyRCorner + wR ) / $ { e } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { i } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { n } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . 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 * $ { i } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
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dotProd += dyValue * mask ;
}
}
setOutput ( dotProd ) ;
}
` }},AN=class{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterDepth,l=t.effectiveFilterHeight,c=t.effectiveFilterWidth,p=u-1-t.padInfo.front,m=l-1-t.padInfo.top,f=c-1-t.padInfo.left,d=u*l*c-1;this.userCode= `
const ivec3 pads = ivec3 ( $ { p } , $ { m } , $ { f } ) ;
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void main ( ) {
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ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 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 < $ { u } ;
wD += $ { s } ) {
float dyD = float ( dyDCorner + wD ) / $ { e } . 0 ;
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if ( dyD < 0.0 || dyD >= $ { t . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
}
int idyD = int ( dyD ) ;
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for ( int wR = 0 ; wR < $ { l } ;
wR += $ { i } ) {
float dyR = float ( dyRCorner + wR ) / $ { n } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { c } ;
wC += $ { a } ) {
float dyC = float ( dyCCorner + wC ) / $ { o } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . 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 = $ { d } -
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 } * $ { c } +
wR * $ { c } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
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dotProd += dyValue * mask ;
}
}
}
setOutput ( dotProd ) ;
}
` }};function Lrt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=k.computePool3DInfo(i.shape,a,u,p,l,c),f=new Mc(m,"max",!0),d=e.runWebGLProgram(f,[i],i.dtype),h=new AN(m),g=e.runWebGLProgram(h,[o,d],i.dtype);return e.disposeIntermediateTensorInfo(d),g}var Hz={kernelName:Tp,backendName:"webgl",kernelFunc:Lrt};function zrt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;ai([s,i],"maxPoolGrad");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=k.computePool2DInfo(a.shape,u,l,1,c,p),f=!0,d=new Hi(m,"max",f),h=e.runWebGLProgram(d,[a],a.dtype),g=new EN(m),y=e.runWebGLProgram(g,[o,h],a.dtype);return e.disposeIntermediateTensorInfo(h),y}var qz={kernelName:Np,backendName:"webgl",kernelFunc:zrt};function Kz(r,t,e,n){let o=new Hi(e,"max",!1),s=n.runWebGLProgram(o,[r],"float32");o=new Hi(e,"max",!0,!0,t);let i=n.runWebGLProgram(o,[r],"float32");return[s,i]}var jz={kernelName:_p,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;x.assert(n.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { n . shape . length } . ` );let l=[1,1];x.assert(k.eitherStridesOrDilationsAreOne(s,l),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { s } and dilations '${l}' ` );let c=k.computePool2DInfo(n.shape,o,s,l,i),[p,m]=Kz(n,a,c,u);return[p,m]}};function Xz(r,t,e,n){let o=x.sizeFromShape(t),i=x.sizeFromShape(r.shape)/o,a=ut({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Wn(a,"float32","mean",n),l=ut({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}var Yz={kernelName:hs,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{keepDims:o,axis:s}=t,i=e,a=n.shape.length,u=x.parseAxisParam(s,n.shape),l=u,c=k.getAxesPermutation(l,a),p=c!=null,m=i.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let v=i.texData.get(d.dataId).values,I=new Array(a);for(let $ =0; $ <I.length; $ ++)I[ $ ]=n.shape[c[ $ ]];let E= $ c(v,n.shape,n.dtype,c,I);d=i.makeTensorInfo(I,n.dtype);let D=i.texData.get(d.dataId);D.values=E}else d=au(n,c,i);f.push(d),l=k.getInnerMostAxes(l.length,a)}k.assertAxesAreInnerMostDims("sum",l,a);let[h,g]=k.computeOutAndReduceShapes(d.shape,l),y=h;o&&(y=k.expandShapeToKeepDim(h,u));let b=Xz(d,g,y,i);for(let w of f)i.disposeIntermediateTensorInfo(w);return b}};function Brt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=x.parseAxisParam(s,o.shape),l=u,c=k.getAxesPermutation(l,a),p=o;c!=null&&(p=Le({inputs:{x:o},backend:e,attrs:{perm:c}}),l=k.getInnerMostAxes(l.length,o.shape.length)),k.assertAxesAreInnerMostDims("min",l,a);let[m,f]=k.computeOutAndReduceShapes(p.shape,l),d=x.sizeFromShape(f),h=ut({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Wn(h,h.dtype,"min",e),y;if(i){let b=k.expandShapeToKeepDim(m,u);y=ut({inputs:{x:g},backend:e,attrs:{shape:b}})}else y=ut({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),y}var Zz={kernelName:gs,backendName:"webgl",kernelFunc:Brt};var Vrt=Cb+ `
return min ( a , b ) ;
` ,Grt= `
vec4 result = vec4 ( min ( a , b ) ) ;
vec4 isNaN = min ( vec4 ( isnan ( a ) ) + vec4 ( isnan ( b ) ) , vec4 ( 1.0 ) ) ;
` +su+ `
return result ;
` ,Wrt=le({opSnippet:Vrt,packedOpSnippet:Grt,cpuKernelImpl:nM}),Jz={kernelName:xs,backendName:"webgl",kernelFunc:Wrt};var DN=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=e.map((c,p)=>c[0]+t[p]+c[1]);let o=t.length,s=Ht(o),i=e.map(c=>c[0]).join(","),a=e.map((c,p)=>c[0]+t[p]).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o),l=n==="reflect"?0:1;if(o===1){this.userCode= `
int start = $ { i } ;
int end = $ { a } ;
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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= `
$ { s } start = $ { s } ( $ { i } ) ;
$ { s } end = $ { s } ( $ { a } ) ;
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void main ( ) {
$ { s } outC = getOutputCoords ( ) ;
for ( int i = 0 ; i < $ { o } ; 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 } ;
}
}
$ { s } coords = outC - start ;
setOutput ( getX ( $ { u } ) ) ;
}
` }};var $ N=class{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((d,h)=>d[0]+t[h]+d[1]);let o=t.length,s=Ht(o),i=e.map(d=>d[0]).join(","),a=e.map((d,h)=>d[0]+t[h]).join(","),u=tr("rc",o),l=tr("source",o),c= ` $ { u [ o - 1 ] } < $ { this . outputShape [ o - 1 ] } ` ,p=o===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,m=n==="reflect"?0:1,f="";if(o===1){let d= `
$ { s } source = rc ;
if ( source < start ) {
source = start * 2 - source - $ { m } ;
} else if ( source >= end ) {
source = ( end - 1 ) * 2 - source + $ { m } ;
}
source -= start ;
` ;f= `
$ { s } rc = outputLoc ;
$ { d }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
$ { u [ o - 1 ] } += 1 ;
if ( $ { c } ) {
$ { d }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
` }else{let d= `
$ { s } source = rc ;
$ { s } lt = $ { s } ( lessThan ( source , start ) ) ;
$ { s } gte = $ { s } ( greaterThanEqual ( source , end ) ) ;
$ { s } orig = 1 - ( lt + gte ) ;
source = orig * source +
lt * ( start * 2 - source - $ { m } ) +
gte * ( ( end - 1 ) * 2 - source + $ { m } ) ;
source -= start ;
` ;f= `
$ { s } rc = outputLoc ;
$ { d }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
$ { u [ o - 1 ] } += 1 ;
if ( $ { c } ) {
$ { d }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
rc = outputLoc ;
$ { u [ o - 2 ] } += 1 ;
if ( $ { u [ o - 2 ] } < $ { this . outputShape [ o - 2 ] } ) {
$ { d }
result [ 2 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
$ { u [ o - 1 ] } += 1 ;
if ( $ { c } ) {
$ { d }
result [ 3 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
}
` }this.userCode= `
const $ { s } start = $ { s } ( $ { i } ) ;
const $ { s } end = $ { s } ( $ { a } ) ;
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void main ( ) {
$ { s } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { f }
setOutput ( result ) ;
}
` }};var Urt=({inputs:r,backend:t,attrs:e})=>{let{x:n}=r,{paddings:o,mode:s}=e,i=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new $ N(n.shape,o,s):new DN(n.shape,o,s);return t.runWebGLProgram(i,[n],n.dtype)},Qz={kernelName:ys,backendName:"webgl",kernelFunc:Urt};var Hrt= ` if ( b == 0.0 ) return NAN ;
return mod ( a , b ) ; ` ,qrt= `
vec4 result = mod ( a , b ) ;
vec4 isNaN = vec4 ( equal ( b , vec4 ( 0.0 ) ) ) ;
` +su+ `
return result ;
` ,Krt=le({opSnippet:Hrt,packedOpSnippet:qrt}),t3={kernelName:ya,backendName:"webgl",kernelFunc:Krt};var RN=class{constructor(t,e,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[t,n],this.userCode= `
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 < $ { e - 1 } ; i ++ ) {
cdf += getProbs ( batch , i ) ;
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if ( r < cdf ) {
setOutput ( float ( i ) ) ;
return ;
}
}
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// If no other event happened, last event happened.
setOutput ( float ( $ { e - 1 } ) ) ;
}
` }};var jrt= `
if ( a == b ) {
return 1.0 ;
} ;
return a / b ; ` ,Xrt= `
// 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 ;
` ,FN=le({opSnippet:jrt,packedOpSnippet:Xrt,checkOutOfBounds:!0}),e3={kernelName:ns,backendName:"webgl",kernelFunc:FN};var r3="return a - b;",ON=le({opSnippet:r3,packedOpSnippet:r3,supportsComplex:!0,cpuKernelImpl:bM}),n3={kernelName:Ps,backendName:"webgl",kernelFunc:ON};function PN(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=x.parseAxisParam([s],o.shape),a=_N({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),u=k.expandShapeToKeepDim(a.shape,i),l=ut({inputs:{x:a},backend:e,attrs:{shape:u}}),c=ON({inputs:{a:o,b:l},backend:e}),p=xN({inputs:{x:c},backend:e}),m=Oc({inputs:{x:p},backend:e,attrs:{axis:i,keepDims:!1}}),f=ut({inputs:{x:m},backend:e,attrs:{shape:u}}),d=FN({inputs:{a:p,b:f},backend:e});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}var o3={kernelName:Fs,backendName:"webgl",kernelFunc:PN};function Yrt(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n,u=a?o:PN({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new RN(l,c,s),m=[[i]],f=e.runWebGLProgram(p,[u],"int32",m);return a||e.disposeIntermediateTensorInfo(u),f}var s3={kernelName:Ep,backendName:"webgl",kernelFunc:Yrt};var Zrt=dr+ `
return - x ;
` ,Jrt= `
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 ;
` ;function Qrt(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])){let s=e.texData.get(n.dataId),[i,a]=sM(s.values,n.shape,n.dtype);return e.makeTensorInfo(a,n.dtype,i)}let o;return G().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new $ o(n.shape,Jrt):o=new wn(n.shape,Zrt),e.runWebGLProgram(o,[n],n.dtype)}var i3={kernelName:bi,backendName:"webgl",kernelFunc:Qrt};var tnt=Vr.nonMaxSuppressionV3Impl;function ent(r){k.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),{selectedIndices:p}=tnt(l,c,i,a,u);return e.makeTensorInfo([p.length],"int32",new Int32Array(p))}var a3={kernelName:wa,backendName:"webgl",kernelFunc:ent};var rnt=Vr.nonMaxSuppressionV4Impl;function nnt(r){k.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,padToMaxOutputSize:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=rnt(c,p,i,a,u,l);return[e.makeTensorInfo([m.length],"int32",new Int32Array(m)),e.makeTensorInfo([],"int32",new Int32Array([f]))]}var l3={kernelName:va,backendName:"webgl",kernelFunc:nnt};var ont=Vr.nonMaxSuppressionV5Impl;function snt(r){k.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,softNmsSigma:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),m=i,f=a,d=u,h=l,{selectedIndices:g,selectedScores:y}=ont(c,p,m,f,d,h);return[e.makeTensorInfo([g.length],"int32",new Int32Array(g)),e.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var u3={kernelName:Ca,backendName:"webgl",kernelFunc:snt};var MN=class{constructor(t,e,n,o){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode= `
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int index = round ( getIndices ( coords . x ) ) ;
setOutput ( mix ( float ( $ { o } ) , float ( $ { n } ) ,
float ( index == coords . y ) ) ) ;
}
` }};var int=r=>{let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{depth:s,onValue:i,offValue:a}=n,u=x.sizeFromShape(o.shape),l=new MN(u,s,i,a),c=ut({inputs:{x:o},backend:e,attrs:{shape:[u]}}),p=e.runWebGLProgram(l,[c],o.dtype);e.disposeIntermediateTensorInfo(c);let m=[...o.shape,s],f=ut({inputs:{x:p},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(p),f},c3={kernelName:ws,backendName:"webgl",kernelFunc:int};function mg(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype==="complex64"){let o=ml({inputs:{input:n},backend:e}),s=mg({inputs:{x:o},backend:e}),i=Lc({inputs:{input:n},backend:e}),a=mg({inputs:{x:i},backend:e}),u=Dn({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return fl({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:e})}var p3={kernelName:_i,backendName:"webgl",kernelFunc:mg};function m3(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let o=ml({inputs:{input:n},backend:e}),s=m3({inputs:{x:o},backend:e}),i=Lc({inputs:{input:n},backend:e}),a=mg({inputs:{x:i},backend:e}),u=Dn({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return fl({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:e})}var f3={kernelName:wi,backendName:"webgl",kernelFunc:m3};function ant(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return Db({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{x.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),x.assert(i===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let a=[],u=t.map(c=>{let p=Db({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=oN({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var d3={kernelName:vi,backendName:"webgl",kernelFunc:ant};var LN=class{constructor(t,e,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((l,c)=>l[0]+t[c]+l[1]);let o=t.length,s=Ht(o),i=e.map(l=>l[0]).join(","),a=e.map((l,c)=>l[0]+t[c]).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o);if(o===1){this.userCode= `
int start = $ { i } ;
int end = $ { a } ;
void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
setOutput ( value ) ;
} else {
setOutput ( getX ( outC - start ) ) ;
}
}
` ;return}this.userCode= `
$ { s } start = $ { s } ( $ { i } ) ;
$ { s } end = $ { s } ( $ { a } ) ;
void main ( ) {
$ { s } outC = getOutputCoords ( ) ;
if ( any ( lessThan ( outC , start ) ) || any ( greaterThanEqual ( outC , end ) ) ) {
setOutput ( value ) ;
} else {
$ { s } coords = outC - start ;
setOutput ( getX ( $ { u } ) ) ;
}
}
` }};var zN=class{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((h,g)=>h[0]+t[g]+h[1]);let o=t.length,s=Ht(o),i=e.map(h=>h[0]).join(","),a=e.map((h,g)=>h[0]+t[g]).join(","),u=tr("rc",o),l=tr("source",o),c= ` $ { u [ o - 1 ] } < $ { this . outputShape [ o - 1 ] } ` ,p=o===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,m=[ ` $ { s } rc = outputLoc ; ` , ` $ { u [ o - 1 ] } += 1 ;
if ( $ { c } ) {
` ,o===1?"": ` }
rc = outputLoc ;
$ { u [ o - 2 ] } += 1 ;
if ( $ { u [ o - 2 ] } < $ { this . outputShape [ o - 2 ] } ) { ` ,o===1?"": ` $ { u [ o - 1 ] } += 1 ;
if ( $ { c } ) { ` ],f=o===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",d="";for(let h=0,g=o===1?2:4;h<g;h++)d+= `
$ { m [ h ] }
if ( $ { f } ) {
result [ $ { h } ] = float ( value ) ;
} else {
$ { s } source = rc - start ;
result [ $ { h } ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
` ;d+=o===1?"} ":"}}",this.userCode= `
const $ { s } start = $ { s } ( $ { i } ) ;
const $ { s } end = $ { s } ( $ { a } ) ;
void main ( ) {
$ { s } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { d }
setOutput ( result ) ;
}
` }};var BN=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;if(x.sizeFromShape(o.shape)===0){let l=s.map((c,p)=>c[0]+o.shape[p]+c[1]);return fl({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}let a=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new zN(o.shape,s,i):new LN(o.shape,s,i),u=[[i]];return e.runWebGLProgram(a,[o],o.dtype,u)},h3={kernelName:vs,backendName:"webgl",kernelFunc:BN};var lnt= `
if ( a < 0.0 && floor ( b ) < b ) {
return NAN ;
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}
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if ( b == 0.0 ) {
return 1.0 ;
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}
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return ( round ( mod ( b , 2.0 ) ) != 1 ) ?
pow ( abs ( a ) , b ) : sign ( a ) * pow ( abs ( a ) , b ) ;
` ,unt= `
// 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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vec4 isNaN = vec4 ( lessThan ( a , vec4 ( 0.0 ) ) ) * vec4 ( lessThan ( floor ( b ) , b ) ) ;
` +su+ `
return result ;
` ,cnt=le({opSnippet:lnt,packedOpSnippet:unt}),g3={kernelName:Cs,backendName:"webgl",kernelFunc:cnt};function pnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=[],l=x.parseAxisParam(s,o.shape),c=l,p=k.getAxesPermutation(c,a),m=o;p!=null&&(m=Le({inputs:{x:o},backend:e,attrs:{perm:p}}),c=k.getInnerMostAxes(c.length,a),u.push(m)),k.assertAxesAreInnerMostDims("prod",c,a);let f;if(e.shouldExecuteOnCPU([m])){let d=e.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:y}=aM(m.shape,m.dtype,d,c);f=e.makeTensorInfo(g,y,h)}else{let[d,h]=k.computeOutAndReduceShapes(m.shape,c),g=x.sizeFromShape(h),y=ut({inputs:{x:m},backend:e,attrs:{shape:[-1,g]}}),b=Tu(o.dtype),w=Wn(y,b,"prod",e);f=ut({inputs:{x:w},backend:e,attrs:{shape:d}}),u.push(y),u.push(w)}if(i){u.push(f);let d=k.expandShapeToKeepDim(f.shape,l);f=ut({inputs:{x:f},backend:e,attrs:{shape:d}})}return u.forEach(d=>e.disposeIntermediateTensorInfo(d)),f}var x3={kernelName:Ia,backendName:"webgl",kernelFunc:pnt};var VN=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=lM(n,o,s,i);return t.makeTensorInfo([a.length],i,a)},y3={kernelName:_l,backendName:"webgl",kernelFunc:VN};var mnt="return 1.0 / x;",fnt=Ct({opSnippet:mnt}),b3={kernelName:Sa,backendName:"webgl",kernelFunc:fnt};var dnt=dr+ `
return ( x < 0.0 ) ? 0.0 : x ;
` ,hnt= `
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 ;
` ,gnt=Ct({opSnippet:dnt,packedOpSnippet:hnt}),w3={kernelName:Ss,backendName:"webgl",kernelFunc:gnt};var xnt=dr+ `
return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
` ,ynt= `
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 ;
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return result ;
` ,bnt=Ct({opSnippet:xnt,packedOpSnippet:ynt}),v3={kernelName:Ns,backendName:"webgl",kernelFunc:bnt};var GN=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":m="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
const vec2 effectiveInputOverOutputRatioRC = vec2 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { a } . 0 , $ { u } . 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 = $ { m } ;
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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 ) ;
vec2 fracRC = sourceFracIndexRC - vec2 ( sourceFloorRC ) ;
float top = topLeft + ( topRight - topLeft ) * fracRC . y ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracRC . y ;
float newValue = top + ( bottom - top ) * fracRC . x ;
setOutput ( newValue ) ;
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}
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` }};var WN=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":m="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
const vec3 effectiveInputOverOutputRatioRC = vec3 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { a } . 0 , $ { u } . 0 ,
$ { u } . 0 ) ;
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float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
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}
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void main ( ) {
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ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
// Calculate values for next column in yRC.z.
ivec3 yRC = coords . yzz + ivec3 ( 0 , 0 , 1 ) ;
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// Fractional source index.
vec3 sourceFracIndexRC = $ { m } ;
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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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}
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` }};function wnt(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=G().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new WN(o.shape,u,l,s,i):new GN(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],"float32")}var C3={kernelName:ks,backendName:"webgl",kernelFunc:wnt};var UN=class{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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float accumulator = 0.0 ;
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const float heightScale = float ( $ { c } ) ;
const float widthScale = float ( $ { p } ) ;
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const float invHeightScale = float ( $ { m } ) ;
const float invWidthScale = float ( $ { f } ) ;
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const int winHeight = int ( $ { d } ) ;
const int winWidth = int ( $ { h } ) ;
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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 >= $ { i } ) {
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 >= $ { a } ) {
continue ;
}
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float dxR = float ( dyR ) * heightScale ;
int topDxRIndex = int ( floor ( dxR ) ) ;
int bottomDxRIndex = int ( min ( ceil ( dxR ) , $ { o - 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 ) , $ { s - 1 } . 0 ) ) ;
float dxCLerp = dxC - float ( leftDxCIndex ) ;
float inverseDxCLerp = 1.0 - dxCLerp ;
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if ( r == topDxRIndex && c == leftDxCIndex ) {
// topLeft
accumulator +=
getDy ( b , dyR , dyC , d ) * inverseDxRLerp * inverseDxCLerp ;
}
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if ( r == topDxRIndex && c == rightDxCIndex ) {
// topRight
accumulator += getDy ( b , dyR , dyC , d ) * inverseDxRLerp * dxCLerp ;
}
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if ( r == bottomDxRIndex && c == leftDxCIndex ) {
// bottomLeft
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * inverseDxCLerp ;
}
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if ( r == bottomDxRIndex && c == rightDxCIndex ) {
// bottomRight
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * dxCLerp ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
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}
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` }};function vnt(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new UN(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var I3={kernelName: $ p,backendName:"webgl",kernelFunc:vnt};var HN=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":f="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
const vec2 effectiveInputOverOutputRatioRC = vec2 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { a } . 0 , $ { u } . 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 = $ { f } ;
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// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2 (
min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { m } ) ) ) ;
float newValue = getA ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ;
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setOutput ( newValue ) ;
}
` }};var qN=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":f="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
const vec3 effectiveInputOverOutputRatioRC = vec3 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { a } . 0 , $ { u } . 0 ,
$ { u } . 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 = $ { f } ;
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// Compute the coordinators of nearest neighbor point.
ivec3 sourceNearestRC = ivec3 (
min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { m } ) ) ) ;
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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 ) ;
}
` }};function Cnt(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=G().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new qN(o.shape,u,l,s,i):new HN(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],o.dtype)}var S3={kernelName:El,backendName:"webgl",kernelFunc:Cnt};var KN=class{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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float accumulator = 0.0 ;
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const float heightScale = float ( $ { c } ) ;
const float widthScale = float ( $ { p } ) ;
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const float invHeightScale = float ( $ { m } ) ;
const float invWidthScale = float ( $ { f } ) ;
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const int winHeight = int ( $ { d } ) ;
const int winWidth = int ( $ { h } ) ;
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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 >= $ { i } ) {
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 >= $ { a } ) {
continue ;
}
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float sourceFracRow =
float ( $ { u [ 0 ] } ) *
( float ( dyR ) / float ( $ { l [ 0 ] } ) ) ;
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float sourceFracCol =
float ( $ { u [ 1 ] } ) *
( float ( dyC ) / float ( $ { l [ 1 ] } ) ) ;
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int sourceNearestRow = int ( min (
float ( int ( $ { o } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracRow ) ) :
float ( floor ( sourceFracRow ) ) ) ) ;
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int sourceNearestCol = int ( min (
float ( int ( $ { s } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracCol ) ) :
float ( floor ( sourceFracCol ) ) ) ) ;
if ( r == sourceNearestRow && c == sourceNearestCol ) {
accumulator += getDy ( b , dyR , dyC , d ) ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
}
` }};function Int(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new KN(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var k3={kernelName:Dp,backendName:"webgl",kernelFunc:Int};var jN=class{constructor(t,e){this.variableNames=["x"];let n=t.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );if(this.outputShape=t,n===1){this.userCode= `
void main ( ) {
int coord = getOutputCoords ( ) ;
setOutput ( getX ( $ { t [ 0 ] } - coord - 1 ) ) ;
}
` ;return}let o=a=>e.indexOf(a)!==-1&&t[a]!==1? ` $ { t [ a ] } - coords [ $ { a } ] - 1 ` : ` coords [ $ { a } ] ` ,s=t.map((a,u)=>o(u)).join(","),i=Ht(n);this.userCode= `
void main ( ) {
$ { i } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { s } ) ) ;
}
` }};var XN=class{constructor(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=t.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );this.outputShape=t;let o=tr("rc",n),s= ` $ { o [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,i= ` $ { o [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,a=Ht(n);n===1?this.userCode= `
void main ( ) {
int rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = getChannel ( getX ( $ { t [ 0 ] } - rc - 1 ) ,
$ { t [ 0 ] } - rc - 1 ) ;
if ( $ { s } ) {
result . g = getChannel ( getX ( $ { t [ 0 ] } - ( rc + 1 ) - 1 ) ,
$ { t [ 0 ] } - ( rc + 1 ) - 1 ) ;
}
setOutput ( result ) ;
}
` :this.userCode= `
void main ( ) {
$ { a } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = $ { u ( o . slice ( ) ) } ;
if ( $ { s } ) {
result . g = $ { l ( o . slice ( ) ) } ;
}
if ( $ { i } ) {
result . b = $ { c ( o . slice ( ) ) } ;
if ( $ { s } ) {
result . a = $ { p ( o . slice ( ) ) } ;
}
}
setOutput ( result ) ;
}
` ;function u(d){return m(d)}function l(d){return d[n-1]="("+d[n-1]+" + 1)",m(d)}function c(d){return d[n-2]="("+d[n-2]+" + 1)",m(d)}function p(d){return d[n-1]="("+d[n-1]+" + 1)",d[n-2]="("+d[n-2]+" + 1)",m(d)}function m(d){let h=t.map((b,w)=>f(w,d)),g=h.join(","),y=h.slice(-2).join(",");return ` getChannel ( getX ( $ { g } ) , vec2 ( $ { y } ) ) ` }function f(d,h){return e.indexOf(d)!==-1&&t[d]!==1? ` $ { t [ d ] } - $ { h [ d ] } - 1 ` : ` $ { h [ d ] } ` }}};function Snt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=o.shape.length,a=x.parseAxisParam(s,o.shape);if(i===0)return er({inputs:{x:o},backend:e});let u=G().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new XN(o.shape,a):new jN(o.shape,a);return e.runWebGLProgram(u,[o],o.dtype)}var N3={kernelName:Ts,backendName:"webgl",kernelFunc:Snt};var YN=class{constructor(t,e){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=t[1],o=t[2];this.outputShape=t;let s="";typeof e=="number"?s= ` float outputValue = $ { e . toFixed ( 2 ) } ; ` :s= `
vec3 fill = vec3 ( $ { e . 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 ] ) ) ;
$ { s }
if ( coordX >= 0 && coordX < $ { o } && coordY >= 0 && coordY < $ { n } ) {
outputValue = getImage ( coords [ 0 ] , coordY , coordX , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
}
` }};var T3={kernelName:Fa,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=new YN(n.shape,s),[l,c]=k.getImageCenter(i,n.shape[1],n.shape[2]),p=[[l,c,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(u,[n],n.dtype,p)}};var knt= `
// 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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` ,Nnt=Ct({opSnippet:knt}),_3={kernelName:_s,backendName:"webgl",kernelFunc:Nnt};var Tnt="return inversesqrt(x);",_nt=Ct({opSnippet:Tnt,cpuKernelImpl:uM}),E3={kernelName:Es,backendName:"webgl",kernelFunc:_nt};var fg=class{constructor(t,e,n,o,s,i,a=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;let u=Ht(s.length),l=Ht(i.length),c="";n===1?c="i":n===2&&(c="i, j");let p= ` getIndices ( $ { c } ) ` ,m="";o===1?m="i":o===2&&(m="i, coords[1]");let f= ` getUpdates ( $ { m } ) ` ,d=e>1?"strides[j]":"strides";this.userCode= `
$ { u } strides = $ { u } ( $ { s } ) ;
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void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
float sum = 0.0 ;
bool found = false ;
for ( int i = 0 ; i < $ { t } ; i ++ ) {
int flattenedIndex = 0 ;
for ( int j = 0 ; j < $ { e } ; j ++ ) {
int index = round ( $ { p } ) ;
flattenedIndex += index * $ { d } ;
}
if ( flattenedIndex == coords [ 0 ] ) {
sum += $ { f } ;
found = true ;
}
}
setOutput ( mix ( getDefaultValue ( ) , sum , float ( found ) ) ) ;
}
` }};function Ent(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=k.calculateShapes(s,o,i),m=[p/l,l];if(p===0)return e.makeTensorInfo(i,o.dtype);let f=ut({inputs:{x:o},backend:e,attrs:{shape:[u,a]}}),d=ut({inputs:{x:s},backend:e,attrs:{shape:[u,l]}}),h=e.makeTensorInfo([],"float32",new Float32Array([0])),g=new fg(u,a,f.shape.length,d.shape.length,c,m),y=e.runWebGLProgram(g,[d,f,h],d.dtype),b=ut({inputs:{x:y},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(y),e.disposeIntermediateTensorInfo(h),b}var A3={kernelName:ka,backendName:"webgl",kernelFunc:Ent};var ZN=class{constructor(t,e,n){this.variableNames=["c","a","b"],this.outputShape=e;let o,s;if(n>4)throw Error( ` Where for rank $ { n } is not yet supported ` );if(n===1)s="resRC",o="resRC";else{let a=["resRC.x","resRC.y","resRC.z","resRC.w"],u=[],l=[];for(let c=0;c<e.length;c++)l.push( ` $ { a [ c ] } ` ),c<t&&u.push( ` $ { a [ c ] } ` );o=u.join(),s=l.join()}let i=Ht(n);this.userCode= `
void main ( ) {
$ { i } resRC = getOutputCoords ( ) ;
float cVal = getC ( $ { o } ) ;
if ( cVal >= 1.0 ) {
setOutput ( getA ( $ { s } ) ) ;
} else {
setOutput ( getB ( $ { s } ) ) ;
}
}
` }};function Ant(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=new ZN(n.shape.length,o.shape,o.shape.length);return e.runWebGLProgram(i,[n,o,s],yr(o.dtype,s.dtype))}var D3={kernelName:Ii,backendName:"webgl",kernelFunc:Ant};var Dnt= `
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = $ { k . SELU _SCALEALPHA } ;
float scale = $ { k . SELU _SCALE } ;
return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
` , $ nt=Ct({opSnippet:Dnt}), $ 3={kernelName:Na,backendName:"webgl",kernelFunc: $ nt};var Rnt=Fo+ `
return 1.0 / ( 1.0 + exp ( - 1.0 * x ) ) ;
` ,Fnt= `
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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` ,Ont=Ct({opSnippet:Rnt,packedOpSnippet:Fnt,cpuKernelImpl:cM}),R3={kernelName:Ds,backendName:"webgl",kernelFunc:Ont};var Pnt= `
if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
` ,Mnt=Ct({opSnippet:Pnt}),F3={kernelName:_a,backendName:"webgl",kernelFunc:Mnt};var Lnt=Fo+ `
return sin ( x ) ;
` ,znt=Ct({opSnippet:Lnt}),O3={kernelName:As,backendName:"webgl",kernelFunc:znt};var Bnt= `
float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
` ,Vnt=Ct({opSnippet:Bnt}),P3={kernelName:Ta,backendName:"webgl",kernelFunc:Vnt};var Gnt= `
float epsilon = 1.1920928955078125 e - 7 ;
float threshold = log ( epsilon ) + 2.0 ;
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bool too _large = x > - threshold ;
bool too _small = x < threshold ;
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float result ;
float exp _x = exp ( x ) ;
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if ( too _large ) {
result = x ;
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}
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else if ( too _small ) {
result = exp _x ;
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}
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else {
result = log ( exp _x + 1.0 ) ;
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}
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return result ;
` ,Wnt=Ct({opSnippet:Gnt}),M3={kernelName:Ea,backendName:"webgl",kernelFunc:Wnt};var Unt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n;x.assert(o.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let a=s.reduce((y,b)=>y*b),u=[[0,0]];u.push(...i);for(let y=1+s.length;y<o.shape.length;++y)u.push([0,0]);let l=[],c=BN({inputs:{x:o},backend:e,attrs:{paddings:u,constantValue:0}}),p=k.getReshaped(c.shape,s,a,!1),m=k.getPermuted(p.length,s.length,!1),f=k.getReshapedPermuted(c.shape,s,a,!1),d=ut({inputs:{x:c},backend:e,attrs:{shape:p}}),h=Le({inputs:{x:d},backend:e,attrs:{perm:m}}),g=ut({inputs:{x:h},backend:e,attrs:{shape:f}});return l.push(c),l.push(d),l.push(h),l.forEach(y=>e.disposeIntermediateTensorInfo(y)),g},L3={kernelName:ki,backendName:"webgl",kernelFunc:Unt};function Hnt(r){let{inputs:t,backend:e}=r,{indices:n,values:o,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error( ` Dense shape must be a vector , saw :
$ { s . shape } ` );if(n.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { o . shape } ` );if(i.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
$ { i . shape } ` );let a=e.readSync(n.dataId),u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=e.readSync(i.dataId)[0],[p,m,f,d,h]=mM(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],"bool",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var z3={kernelName:Al,backendName:"webgl",kernelFunc:Hnt};function qnt(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape $ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape $ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let i=Array.from(e.readSync(o.dataId)),a=e.readSync(n.dataId),u=Array.from(e.readSync(s.dataId)),[l,c,p]=fM(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var B3={kernelName:Aa,backendName:"webgl",kernelFunc:qnt};function Knt(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
$ { s . shape } ` );let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=wb(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var V3={kernelName:Dl,backendName:"webgl",kernelFunc:Knt};function jnt(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
$ { s . shape } ` );let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=wb(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var G3={kernelName: $ l,backendName:"webgl",kernelFunc:jnt};function Xnt(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,strides:c,outputSize:p}=k.calculateShapes(s,o,a),m=!1,f=new fg(l,u,o.shape.length,s.shape.length,c,[p,1],m),d=e.runWebGLProgram(f,[s,o,i],s.dtype),h=ut({inputs:{x:d},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(d),h}var W3={kernelName:Rp,backendName:"webgl",kernelFunc:Xnt};function Ynt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=x.parseAxisParam(i,o.shape)[0],u=k.prepareSplitSize(o,s,a),l=o.shape.length,c=new Array(l).fill(0),p=o.shape.slice();return u.map(m=>{let f=[...p];f[a]=m;let d=ci({inputs:{x:o},backend:e,attrs:{begin:c,size:f}});return c[a]+=m,d})}var U3={kernelName:Ni,backendName:"webgl",kernelFunc:Ynt};var H3="return sqrt(x);",Znt=Ct({opSnippet:H3,packedOpSnippet:H3,cpuKernelImpl:dM}),q3={kernelName: $ s,backendName:"webgl",kernelFunc:Znt};var Jnt="return x * x;",Qnt=Ct({opSnippet:Jnt}),K3={kernelName:Rl,backendName:"webgl",kernelFunc:Qnt};var j3="return (a - b) * (a - b);",tot=le({opSnippet:j3,packedOpSnippet:j3}),X3={kernelName:Os,backendName:"webgl",kernelFunc:tot};function eot({inputs:r,attrs:t,backend:e}){let{x:n}=r,o=dr+ `
return x > 0.0 ? 1.0 : float ( $ { t . alpha } ) ;
` ,s=new wn(n.shape,o);return e.runWebGLProgram(s,[n],n.dtype)}var Y3={kernelName:io,backendName:"webgl",kernelFunc:eot};var JN=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=n;let o=n.length,s=Ht(n.length),i=Ht(n.length),a="";if(o===1)a="coords * strides + begin";else{let u=0;a=n.map((l,c)=>(u++,n.length===1? ` coords * strides [ $ { c } ] + begin [ $ { c } ] ` : ` coords [ $ { u - 1 } ] * strides [ $ { c } ] + begin [ $ { c } ] ` )).join(",")}this.userCode= `
$ { s } begin = $ { s } ( $ { t } ) ;
$ { s } strides = $ { s } ( $ { e } ) ;
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void main ( ) {
$ { i } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { a } ) ) ;
}
` }};function rot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:y,begin:b,end:w,strides:v}=Ve.sliceInfo(o.shape,s,i,a,u,l,c,p,m),I;if(h)I=ut({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||y){x.assert(o.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { o . shape . length } ` );let D=Ve.computeOutShape(b,w,v), $ =ci({inputs:{x:o},backend:e,attrs:{begin:b,size:D}});I=ut({inputs:{x: $ },backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo( $ )}else if(e.shouldExecuteOnCPU([o])){let $ =e.readSync(o.dataId),R=It(o.shape,o.dtype, $ ),M=hM(f,R,v,b);I=e.makeTensorInfo(d,o.dtype,M.values)}else{let $ =new JN(b,v,f);I=e.runWebGLProgram( $ ,[o],o.dtype)}let E=ut({inputs:{x:I},backend:e,attrs:{shape:d}});return e.disposeIntermediateTensorInfo(I),E}var Z3={kernelName:Da,backendName:"webgl",kernelFunc:rot};function not(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.readSync(c.dataId),f=e.readSync(p.dataId),[d,h]=gM(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var J3={kernelName:Fp,backendName:"webgl",kernelFunc:not};function oot(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{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 a=e.readSync(s.dataId),u=e.readSync(i.dataId)[0],[l,c,p]=xM(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],"int32",l),e.makeTensorInfo([m],"string",c),e.makeTensorInfo([2],"int32",new Int32Array(p))]}var Q3={kernelName:Op,backendName:"webgl",kernelFunc:oot};function sot(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");let i=e.readSync(s.dataId),a=yM(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var tB={kernelName:Pp,backendName:"webgl",kernelFunc:sot};var iot="return tan(x);",aot=Ct({opSnippet:iot}),eB={kernelName:Ms,backendName:"webgl",kernelFunc:aot};var lot= `
float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
` ,uot=Ct({opSnippet:lot}),rB={kernelName:Ls,backendName:"webgl",kernelFunc:uot};var QN=class{constructor(t,e){this.variableNames=["A"];let n=new Array(t.length);for(let i=0;i<n.length;i++)n[i]=t[i]*e[i];this.outputShape=n,this.rank=n.length;let o=Ht(this.rank),s=cot(t);this.userCode= `
void main ( ) {
$ { o } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { s } ) ) ;
}
` }};function cot(r){let t=r.length;if(t>5)throw Error( ` Tile for rank $ { t } is not yet supported ` );if(t===1)return ` imod ( resRC , $ { r [ 0 ] } ) ` ;let e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],n=[];for(let o=0;o<r.length;o++)n.push( ` imod ( $ { e [ o ] } , $ { r [ o ] } ) ` );return n.join()}function tT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reps:s}=n;if(o.dtype==="string"||o.shape.length>5){let u=e.readSync(o.dataId),l=o.dtype==="string"?u.map(m=>x.decodeString(m)):u,c=It(o.shape,o.dtype,l),p=wM(c,s);return e.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new QN(o.shape,s);return e.runWebGLProgram(i,[o],o.dtype)}var nB={kernelName:jn,backendName:"webgl",kernelFunc:tT};var eT=class{constructor(t){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=t,this.userCode= `
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int elemIdx = coords [ 1 ] ;
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// We compare elements pair-wise within a group of size 2 * inc.
// The comparing rule for each group alternates between ascending
// and descending. Within each group, we compare each pair at
// positions i and i+inc. To decide whether an element at position i
// is x0 or x1, we mod it by 2 * inc, if the result is smaller than
// inc, it is in the first half of the group, we denote it as x0,
// otherwise we denote it as x1.
// For example, as shown in the Bitonic top K paper referenced above,
// Figure5(a) shows that element[1] is in the
// second half of the group when group size is 2, but it is in the
// first half of the group when group size is 4.
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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 ) ) ;
}
}
` }},rT=class{constructor(t){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=t,this.userCode= `
void main ( ) {
// Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int elemIdx = coords [ 1 ] ;
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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 ) ) ;
}
` }};function Bc(r,t){t!==null&&r.disposeIntermediateTensorInfo(t)}function oB(r){let t=1;for(;t<r;)t*=2;return t}function pot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted:i}=n,a=G().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),u=G().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),l=o.shape,c=l[l.length-1];if(e.shouldExecuteOnCPU([o])||c<a||s>u){let M=e.readSync(o.dataId),[W,U]=vM(M,l,o.dtype,s,i);return[e.makeTensorInfo(W.shape,W.dtype,W.values),e.makeTensorInfo(U.shape,U.dtype,U.values)]}if(s===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,"int32",[])];if(c===1)return[o,fl({attrs:{shape:l,dtype:"int32",value:0},backend:e})];let p=e.texData.get(o.dataId),m=p!==null&&p.isPacked,f=m?e.unpackTensor(o):o,h=x.sizeFromShape(l)/c,g=ut({inputs:{x:f},attrs:{shape:[h,c]},backend:e});m&&Bc(e,f);let y=oB(s),b=oB(c),w=null,v=()=>w===null?[g,g]:[g,w],I=(M,W,U)=>{let q=v(),K=new eT(U),Q=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[M],[W]],rt=w;w=e.runWebGLProgram(K,q,"int32",Q),Bc(e,rt)};for(let M=1;M<y;M*=2){let W=M*2;for(let U=M;U>=1;U/=2)I(W,U,[h,b])}for(let M=b;M>y;M/=2){let W=v(),U=new rT([h,M/2]),K=[[c],[w===null?1:0],[y]],j=w;w=e.runWebGLProgram(U,W,"int32",K),Bc(e,j);let Q=y/2,rt=Q*2;for(let X=Q;X>=1;X/=2)I(rt,X,w.shape)}let E=w;w=ci({inputs:{x:w},backend:e,attrs:{begin:0,size:[h,s]}}),Bc(e,E);let D=SN({inputs:{x:g,indices:w},backend:e,attrs:{axis:1,batchDims:1}});Bc(e,g);let $ =l.slice(0,-1); $ .push(s),E=w,w=ut({inputs:{x:w},attrs:{shape: $ },backend:e}),Bc(e,E);let R=D;return D=ut({inputs:{x:D},attrs:{shape: $ },backend:e}),Bc(e,R),[D,w]}var sB={kernelName: $ a,backendName:"webgl",kernelFunc:pot};var nT=class{constructor(t,e,n,o,s,i){this.variableNames=["Image","Transforms"],this.outputShape=i;let a=n==="nearest"?1:2,u;switch(o){case"constant":u=1;break;case"reflect":u=2;break;case"wrap":u=3;break;case"nearest":u=4;break;default:u=1;break}this.userCode= `
float mapCoord ( float outCoord , float len ) {
float inCoord = outCoord ;
if ( $ { u } == 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 ( $ { u } == 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 ( $ { u } == 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 < $ { t } && 0 <= coordX && coordX < $ { e } ) {
outputValue = getImage ( batch , coordY , coordX , channel ) ;
} else {
outputValue = float ( $ { s } ) ;
}
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 ( $ { s } ) ;
} else {
float inX = ( a1 * xf + a2 * yf + a3 ) / projection ;
float inY = ( b1 * xf + b2 * yf + b3 ) / projection ;
float mapX = mapCoord ( inX , float ( $ { e } ) ) ;
float mapY = mapCoord ( inY , float ( $ { t } ) ) ;
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if ( $ { a } == 1 ) {
int coordY = int ( round ( mapY ) ) ;
int coordX = int ( round ( mapX ) ) ;
outputValue = readWithFillValue ( batch , coordY , coordX ,
channel ) ;
} else {
float yFloor = floor ( mapY ) ;
float xFloor = floor ( mapX ) ;
float yCeil = yFloor + 1.0 ;
float xCeil = xFloor + 1.0 ;
float valueYFloor = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xCeil ) , channel ) ;
float valueYCeil = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xCeil ) , channel ) ;
outputValue = ( yCeil - mapY ) * valueYFloor +
( mapY - yFloor ) * valueYCeil ;
}
}
setOutput ( outputValue ) ;
}
` }};function mot(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],y=new nT(p,m,i,a,u,g);return e.runWebGLProgram(y,[o,s],"float32")}var iB={kernelName:Ra,backendName:"webgl",kernelFunc:mot};function fot(r){let{inputs:t,attrs:e,backend:n}=r,{axis:o}=e,{x:s}=t;ai(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=n.readSync(s.dataId),{outputValues:a,outputShape:u,indices:l}=CM(i,o,s.shape,s.dtype);return[n.makeTensorInfo(u,s.dtype,a),n.makeTensorInfo([l.length],"int32",l)]}var aB={kernelName:Mp,backendName:"webgl",kernelFunc:fot};function dot(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o,a=i.shape.length,u=o.shape[s],l=new Array(a-1),c=0;for(let h=0;h<a;h++)h!==s&&(l[c++]=i.shape[h]);let p=[],m=new Array(a).fill(0),f=i.shape.slice();f[s]=1;let d=new Array(u);for(let h=0;h<d.length;h++){m[s]=h;let g=ci({inputs:{x:i},backend:e,attrs:{begin:m,size:f}}),y=ut({inputs:{x:g},backend:e,attrs:{shape:l}});d[h]=y,p.push(g)}return p.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}var lB={kernelName:Ti,backendName:"webgl",kernelFunc:dot};var oT=class{constructor(t,e){this.variableNames=["x","segmentIds"];let n=t.windowSize,o=t.batchSize,s=t.inSize,i=t.numSegments,a=i*Math.ceil(s/n);this.outputShape=[o,a];let u="0.0",l="sumValue",c=Math.floor(n/4)*4,p=n%4,m= `
sumValue += dot ( values , segFilter ) ;
` ,f="";s%n>0&&(f= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return initializationValue ;
}
` );let d="";s%n>0&&(d= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return - 1.0 ;
}
` ),this.userCode= `
const float initializationValue = $ { u } ;
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float getValue ( int batch , int inIdx ) {
$ { f }
return getX ( batch , inIdx ) ;
}
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float getSegmentIdAtIndex ( int inIdx ) {
$ { d }
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 (
$ { i } ) ) * float ( $ { n } ) ) ;
int currentSeg = int ( mod ( float ( outIdx ) , float ( $ { i } ) ) ) ;
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float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { c } ; 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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$ { m }
}
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int inIdx = inOffset + $ { c } ;
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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$ { m }
} 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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$ { m }
} 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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$ { m }
}
setOutput ( $ { l } ) ;
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}
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` }};function hot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,segmentIds:s}=t,{numSegments:i}=n,a=o.shape.length,u=[],l=0,c=k.getAxesPermutation([l],a),p=o;c!=null&&(p=Le({inputs:{x:o},backend:e,attrs:{perm:c}}),u.push(p),l=k.getInnerMostAxes(1,a)[0]);let m=k.segment_util.computeOutShape(p.shape,l,i),f=x.sizeFromShape([p.shape[l]]),d=ut({inputs:{x:p},backend:e,attrs:{shape:[-1,f]}});u.push(d);let h=Tu(o.dtype),g=(v,I,E,D, $ )=>{let R=v.shape[0],M=v.shape[1],W=k.segment_util.segOpComputeOptimalWindowSize(M, $ ),U={windowSize:W,inSize:M,batchSize:R,numSegments: $ },q=new oT(U,I),K=e.compileAndRun(q,[v,E],D);if(u.push(K),K.shape[1]=== $ )return K;let j=VN({backend:e,attrs:{start:0,stop: $ ,step:1,dtype:"float32"}}),Q=tT({inputs:{x:j},backend:e,attrs:{reps:[M/W]}});return u.push(j),u.push(Q),g(K,I,Q,D, $ )},y=g(d,"unsortedSegmentSum",s,h,i),b=ut({inputs:{x:y},backend:e,attrs:{shape:m}}),w=b;if(c!=null){u.push(b);let v=k.getUndoAxesPermutation(c);w=Le({inputs:{x:w},backend:e,attrs:{perm:v}})}return u.forEach(v=>e.disposeIntermediateTensorInfo(v)),w}var uB={kernelName:Fl,backendName:"webgl",kernelFunc:hot};var got=[QM,eL,rL,nL,sL,iL,aL,lL,pL,mL,fL,dL,hL,gL,xL,yL,bL,wL,vL,CL,IL,kL,NL,TL,DL,RL,FL,VM,PL,LL,zL,BL,VL,GL,WL,UL,HL,qL,KL,YL,ZL,JL,QL,tz,ez,rz,nz,oz,sz,iz,az,lz,uz,cz,mz,fz,dz,hz,xz,yz,bz,wz,vz,Cz,Iz,Sz,kz,BM,Nz,ML,Tz,_z,Ez,GM,Az,Dz, $ z,Rz,Fz,Oz,Pz,Mz,Lz,zz,Vz,Gz,Wz,Uz,Hz,qz,jz,Yz,Zz,Jz,Qz,t3,s3,KM,i3,a3,l3,u3,_L,c3,f3,d3,h3,g3,WM,x3,y3,EL,e3,b3,w3,v3,XM,C3,I3,S3,k3,N3,T3,_3,E3,A3,D3, $ 3,R3,F3,O3,P3,SL,o3,M3,L3,z3,B3,V3,G3,W3,U3,q3,K3,X3,Y3,Z3,J3,Q3,tB,n3,ZM,eB,rB,nB,sB,iB,JM,aB,lB,uB,p3];for(let r of got)vu(r);var Zt;(function(r){r[r.float32=0]="float32",r[r.int32=1]="int32",r[r.bool=2]="bool",r[r.string=3]="string",r[r.complex64=4]="complex64"})(Zt||(Zt={}));var lu;(function(r){r[r.linear=0]="linear",r[r.relu=1]="relu",r[r.relu6=2]="relu6",r[r.prelu=3]="prelu",r[r.leakyrelu=4]="leakyrelu",r[r.sigmoid=5]="sigmoid",r[r.elu=6]="elu"})(lu||(lu={}));var cB;function xot(r){cB=r.wasm.cwrap(Ei,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function yot(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t;if(o.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n,m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=0;if(i!=null){let $ =e.dataIdMap.get(i.dataId);if( $ .shape.length!==1)throw new Error( ` _FusedMatMul only supports rank - 1 bias but got rank $ { $ . shape . length } . ` );d= $ .id}let h=a==null?0:e.dataIdMap.get(a.dataId).id,g=lu[c];if(g==null)throw new Error( ` $ { c } activation not yet supported for FusedConv2D in the wasm backend . ` );let y=u?o.shape[2]:o.shape[1],b=l?s.shape[1]:s.shape[2],w=Mr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)),v=e.makeOutput([...w,y,b],o.dtype),I=e.dataIdMap.get(v.dataId).id,E=new Uint8Array(new Int32Array(o.shape).buffer),D=new Uint8Array(new Int32Array(s.shape).buffer);return cB(m,E,o.shape.length,f,D,s.shape.length,u,l,g,d,h,p||0,I),v}var pB={kernelName:Ei,backendName:"wasm",setupFunc:xot,kernelFunc:yot};function ue(r,t){let e;function n(s){e=s.wasm.cwrap(r,null,["number","number","number"])}function o(s){let{backend:i,inputs:{x:a}}=s,u=i.dataIdMap.get(a.dataId).id,l=i.makeOutput(a.shape,t||a.dtype),c=i.dataIdMap.get(l.dataId).id;return x.sizeFromShape(l.shape)===0||e(u,Zt[a.dtype],c),l}return{kernelName:r,backendName:"wasm",setupFunc:n,kernelFunc:o}}var mB=ue(di);function Ce(r,t,e){let n;function o(i){n=i.wasm.cwrap(r,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:a,inputs:u}=i,{a:l,b:c}=u,p=a.dataIdMap.get(l.dataId).id,m=a.dataIdMap.get(c.dataId).id,f=e!=null?e:l.dtype,d=k.assertAndGetBroadcastShape(l.shape,c.shape),h=a.makeOutput(d,f);if(x.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(l.shape).buffer),y=new Uint8Array(new Int32Array(c.shape).buffer),b=a.dataIdMap.get(h.dataId)
$ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape
$ { o . 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(n.dataId).id,a=t.dataIdMap.get(o.dataId).id,u=t.dataIdMap.get(s.dataId).id,l=n.shape[0],c=x.sizeFromShape(s.shape),p=t.makeOutput([l,c],n.dtype),m=t.dataIdMap.get(p.dataId).id,f=t.makeOutput([c],s.dtype),d=t.dataIdMap.get(f.dataId).id,h=t.makeOutput([3],"int32"),g=t.dataIdMap.get(h.dataId).id;kG(i,a,u,l,m,d,g);let y=t.readSync(h.dataId),b;switch(y[0]){case 0:{b=k.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(y[1],y[2]);break}case 1:{b=k.getSparseReshapeNegativeOutputDimErrorMessage(y[1],y[2]);break}case 2:b=k.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let w=Array.from(t.readSync(o.dataId)),v=Array.from(t.readSync(f.dataId));b=k.getSparseReshapeInputOutputMultipleErrorMessage(w,v);break}case 4:{let w=Array.from(t.readSync(o.dataId)),v=Array.from(t.readSync(f.dataId));b=k.getSparseReshapeInputOutputMismatchErrorMessage(w,v);break}default:b=""}if(t.disposeData(h.dataId),b)throw t.disposeData(p.dataId),t.disposeData(f.dataId),new Error(b);return[p,f]}var NG={kernelName:Aa,backendName:"wasm",setupFunc:git,kernelFunc:xit};var TG;function Pb(r){TG=r.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function Mb(r,t){let{backend:e,inputs:n}=r,{data:o,indices:s,segmentIds:i}=n,a=s.shape[0],u=e.readSync(i.dataId,a-1,a)[0],c=a>0?u+1:0;if(c<0)throw new Error(k.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=o.shape.slice();p[0]=c;let m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=e.dataIdMap.get(i.dataId).id,h=e.makeOutput(p,o.dtype),g=e.dataIdMap.get(h.dataId).id,y=e.makeOutput([4],"int32"),b=e.dataIdMap.get(y.dataId).id;TG(m,Zt[o.dtype],o.shape[0],f,d,g,b,t,0);let w=e.readSync(y.dataId),v;switch(w[0]){case 0:{v=k.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{v=k.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:v=k.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:v=k.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:v=""}if(e.disposeData(y.dataId),v)throw e.disposeData(h.dataId),new Error(v);return h}function yit(r){return Mb(r,!0)}var _G={kernelName:Dl,backendName:"wasm",setupFunc:Pb,kernelFunc:yit};function bit(r){return Mb(r,!1)}var EG={kernelName: $ l,backendName:"wasm",setupFunc:Pb,kernelFunc:bit};function wit(r){let{inputs:t,attrs:e,backend:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=e,a=x.parseAxisParam(i,o.shape)[0],u=k.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Oo({inputs:{x:o},attrs:{begin:l,size:m},backend:n});return l[a]+=p,f})}var AG={kernelName:Ni,backendName:"wasm",kernelFunc:wit};var DG=ue( $ s);var $ G=ue(Rl);var vit=!0,RG=Ce(Os,vit);var FG;function Cit(r){FG=r.wasm.cwrap(io,null,["number","number","number","number"])}function Iit(r){let{backend:t,inputs:e,attrs:n}=r,{alpha:o}=n,{x:s}=e,i=t.dataIdMap.get(s.dataId).id,a=t.makeOutput(s.shape,s.dtype),u=t.dataIdMap.get(a.dataId).id;return FG(i,o,Zt[s.dtype],u),a}var OG={kernelName:io,backendName:"wasm",setupFunc:Cit,kernelFunc:Iit};var PG;function Sit(r){PG=r.wasm.cwrap(Da,null,["number","array","number","array","array","array","array","array","number","number"])}function kit(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:y,begin:b,end:w,strides:v}=Ve.sliceInfo(o.shape,s,i,a,u,l,c,p,m),I;if(h)I=cr({inputs:{x:o},backend:t,attrs:{shape:d}});else if(g||y){x.assert(o.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { o . shape . length } ` );let E=Ve.computeOutShape(b,w,v),D=Oo({inputs:{x:o},backend:t,attrs:{begin:b,size:E}});I=cr({inputs:{x:D},backend:t,attrs:{shape:d}}),t.disposeData(D.dataId)}else{let E=t.makeOutput(f,"float32"),D=
");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:" alert ",text:text,threadId:Module[" _pthread _self "]()})}var err=threadPrintErr;self.alert=threadAlert;Module[" instantiateWasm "]=((info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module[" wasmModule "],info);receiveInstance(instance);Module[" wasmModule "]=null;return instance.exports});self.onmessage=(e=>{try{if(e.data.cmd===" load "){Module[" wasmModule "]=e.data.wasmModule;Module[" wasmMemory "]=e.data.wasmMemory;Module[" buffer "]=Module[" wasmMemory "].buffer;Module[" ENVIRONMENT _IS _PTHREAD "]=true;if(typeof e.data.urlOrBlob===" string "){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd===" run "){Module[" _ _performance _now _clock _drift "]=performance.now()-e.data.time;Module[" _ _emscripten _thread _init "](e.data.threadInfoStruct,0,0,1);Module[" establishStackSpace "]();Module[" PThread "].receiveObjectTransfer(e.data);Module[" PThread "].threadInit();try{var result=Module[" invokeEntryPoint "](e.data.start_routine,e.data.arg);if(Module[" keepRuntimeAlive "]()){Module[" PThread "].setExitStatus(result)}else{Module[" _ _emscripten _thread _exit "](result)}}catch(ex){if(ex!=" unwind "){if(ex instanceof Module[" ExitStatus "]){if(Module[" keepRuntimeAlive "]()){}else{Module[" _ _emscripten _thread _exit "](ex.status)}}else{throw ex}}}}else if(e.data.cmd===" cancel "){if(Module[" _pthread _self "]()){Module[" _ _emscripten _thread _exit "](-1)}}else if(e.data.target===" setimmediate "){}else if(e.data.cmd===" processThreadQueue "){if(Module[" _pthread _self "]()){Module[" _emscripten _current _thread _process _queued _calls "]()}}else if(e.data.cmd===" processProxyingQueue "){if(Module[" _pthread _self "]()){Module[" _emscripten _proxy _execute _queue "](e.data.queue)}}else{err(" worker . js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){err(" worker . js onmessage ( ) captured an uncaught exception : "+ex);if(ex&&ex.stack)err(ex.stack);if(Module[" _ _emscripten _thread _crashed "]){Module[" _ _emscripten _thread _crashed "]()}throw ex}});`;var oW=gu(rW());var Vb=class extends pi{constructor(t){super();this.wasm=t,this.dataIdNextNumber=1,this.wasm.tfjs.initWithThreadsCount(iW),hT=this.wasm.tfjs.getThreadsCount(),this.dataIdMap=new bl(this,po())}write(t,e,n){let o={id:this.dataIdNextNumber++};return this.move(o,t,e,n,1),o}numDataIds(){return this.dataIdMap.numDataIds()}async time(t){let e=x.now();return t(),{kernelMs:x.now()-e}}move(t,e,n,o,s){let i=this.dataIdNextNumber++;if(o===" string "){let c=e;this.dataIdMap.set(t,{id:i,stringBytes:c,shape:n,dtype:o,memoryOffset:null,refCount:s});return}let a=x.sizeFromShape(n),u=a*x.bytesPerElement(o),l=this.wasm._malloc(u);this.dataIdMap.set(t,{id:i,memoryOffset:l,shape:n,dtype:o,refCount:s}),this.wasm.tfjs.registerTensor(i,a,l),e!=null&&this.wasm.HEAPU8.set(new Uint8Array(e.buffer,e.byteOffset,u),l)}async read(t){return this.readSync(t)}readSync(t,e,n){let{memoryOffset:o,dtype:s,shape:i,stringBytes:a}=this.dataIdMap.get(t);if(s===" string ")return(e==null||e===0)&&(n==null||n>=a.length)?a:a.slice(e,n);e=e||0,n=n||x.sizeFromShape(i);let u=x.bytesPerElement(s),l=this.wasm.HEAPU8.slice(o+e*u,o+n*u);return zit(l.buffer,s)}disposeData(t,e=!1){if(this.dataIdMap.has(t)){let n=this.dataIdMap.get(t);if(n.refCount--,!e&&n.refCount>0)return!1;this.wasm._free(n.memoryOffset),this.wasm.tfjs.disposeData(n.id),this.dataIdMap.delete(t)}return!0}refCount(t){return this.dataIdMap.has(t)?this.dataIdMap.get(t).refCount:0}incRef(t){let e=this.dataIdMap.get(t);e!=null&&e.refCount++}floatPrecision(){return 32}getMemoryOffset(t){return this.dataIdMap.get(t).memoryOffset}dispose(){this.wasm.tfjs.dispose()," PThread " in this . wasm && this . wasm . PThread . terminateAllThreads ( ) , this . wasm = null } memory ( ) { return { unreliable : ! 1 } } makeOutput ( t , e , n ) { let o ; if ( n == null ) o = this . write ( null , t , e ) ; else { let s = this . dataIdNextNumber ++ ; o = { id : s } , this . dataIdMap . set ( o , { id : s , memoryOffset : n , shape : t , dtype : e
2021-04-26 20:45:49 +02:00
/ * *
* @ license
* Copyright 2017 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google Inc . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the License ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an AS IS BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2021 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-04-30 18:01:04 +02:00
/ * *
* @ license
* Copyright 2021 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* https : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
2022-01-14 16:04:13 +01:00
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2022 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
2021-04-30 18:01:04 +02:00
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-08-31 18:21:57 +02:00
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
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/** @license See the LICENSE file. */
