face-api/dist/tfjs.esm.js

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/*
Face-API
homepage: <https://github.com/vladmandic/face-api>
author: <https://github.com/vladmandic>'
2021-09-08 19:51:28 +02:00
*/
2022-08-24 14:21:15 +02:00
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Actual: ${o}.
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2022-08-24 14:21:15 +02:00
Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function WH(r,t){r().then(()=>t.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function UH(r,t){let e=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Ko(r)||Ko(r[0])||Ko(t)||Ko(t[0])?oS(r,e,(n,o)=>n==o):oS(r,t,(n,o)=>sS(n,o,0))}function j_(r,t,e){if(e==null&&(e=wx()),!sS(r,t,e))throw new Error(`Numbers differ: actual === ${r}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function sS(r,t,e){return!isFinite(r)&&!isFinite(t)?!0:!(isNaN(r)||isNaN(t)||Math.abs(r-t)>e)}function HH(r,t,e){for(let n=0;n<r.length;n++)if(r[n]<t||r[n]>e)throw new Error(`Value out of range:${r[n]} low: ${t}, high: ${e}`)}function qH(r,t){let e=new Float32Array(r),n=new Float32Array(t);if(e.length!==n.length)throw new Error(`Expected ArrayBuffer to be of length ${n.length}, but it was ${e.length}`);for(let o=0;o<n.length;o++)if(e[o]!==n[o])throw new Error(`Expected ArrayBuffer value at ${o} to be ${n[o]} but got ${e[o]} instead`)}function X_(r){for(let t=0;t<r.length;t++){let e=r[t];Array.isArray(e)?X_(e):r[t]=Ul(e)}return r}function KH(r){let t=document.createElement("video");return"playsInline"in t&&(t.playsInline=!0),t.muted=!0,t.loop=!0,t.style.position="fixed",t.style.left="0px",t.style.top="0px",t.preload="auto",t.appendChild(r),new Promise(e=>{t.addEventListener("loadeddata",n=>e(t)),t.load()})}async function jH(r){await r.play(),"requestVideoFrameCallback"in r&&await new Promise(t=>{r.requestVideoFrameCallback(t)})}var Z_="3.20.0";function XH(r,t){let e=v(r,"a","add"),n=v(t,"b","add");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(jn,o)}var J=N({add_:XH});function YH(r,t){let e=v(r,"a","floorDiv"),n=v(t,"b","floorDiv");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(us,o)}var um=N({floorDiv_:YH});function ZH(r,t){let e=v(r,"a","div"),n=v(t,"b","div");if([e,n]=Xt(e,n),e.dtype==="int32"&&n.dtype==="int32")return um(e,n);let o={a:e,b:n},s={};return _.runKernel(ss,o,s)}var ct=N({div_:ZH});function JH(r,t){let e=v(r,"a","mul"),n=v(t,"b","mul");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(Cs,o)}var O=N({mul_:JH});function QH(r){let t=v(r,"x","abs");if(t.dtype==="complex64"){let e={x:t};return _.runKernel(_l,e)}else{let e={x:t};return _.runKernel(pi,e)}}var $e=N({abs_:QH});function tq(r){let e={x:v(r,"x","acos")};return _.runKernel(oa,e)}var Cx=N({acos_:tq});function eq(r){let e={x:v(r,"x","acosh")};return _.runKernel(sa,e)}var vx=N({acosh_:eq});function rq(r){A(Array.isArray(r),()=>"The argument passed to tf.addN() must be a list of tensors"),A(r.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${r.length}`);let t=r.map((o,s)=>v(o,`tensors${s}`,"addN")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(o=>{if(!Rn(o.shape,e.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let n=t;return _.runKernel(jo,n)}var J_=N({addN_:rq});function nq(r,t=null,e=!1){let o={x:v(r,"x","all","bool")},s={axis:t,keepDims:e};return _.runKernel(ia,o,s)}var cm=N({all_:nq});function oq(r,t=null,e=!1){let o={x:v(r,"x","any","bool")},s={axis:t,keepDims:e};return _.runKernel(aa,o,s)}var Ju=N({any_:oq});function sq(r,t=0){let n={x:v(r,"x","argMax")},o={axis:t};return _.runKernel(Xo,n,o)}var Oi=N({argMax_:sq});function iq(r,t=0){let n={x:v(r,"x","argMin")},o={axis:t};return _.runKernel(Nl,n,o)}var Ix=N({argMin_:iq});function aq(r){let e={x:v(r,"x","asin")};return _.runKernel(la,e)}var Sx=N({asin_:aq});function lq(r){let e={x:v(r,"x","asinh")};return _.runKernel(ua,e)}var Tx=N({asinh_:lq});function uq(r){let e={x:v(r,"x","atan")};return _.runKernel(ca,e)}var Nx=N({atan_:uq});function cq(r,t){let e=v(r,"a","atan2"),n=v(t,"b","atan2");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(ma,o)}var kx=N({atan2_:cq});function pq(r){let e={x:v(r,"x","atanh")};return _.runKernel(pa,e)}var _x=N({atanh_:pq});function mq(r,t,e,n,o="NHWC",s){let i=r[3],a=[...t,i],u=tE(o);return tc(r,a,e,s,n,null,null,u)}function aS(r,t,e,n,o,s,i
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2022-03-07 19:17:31 +01:00
${o} and ${t} for depthToSpace with input shape
${n.shape}`),A(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying
${s} and ${t} for depthToSpace with input shape
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${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(ha,a,u)}var Wx=N({depthToSpace_:Jq});function Qq(r,t,e,n,o="NHWC",s=[1,1],i){let a=v(r,"x","depthwiseConv2d","float32"),u=v(t,"filter","depthwiseConv2d","float32"),l=a,c=!1;a.rank===3&&(c=!0,l=F(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 ${u.rank}.`);let p=o==="NHWC"?l.shape[3]:l.shape[1];A(p===u.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${p}) must match the inChannels dimension in filter ${u.shape[2]}.`),Te("depthwiseConv2d",n,i);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=_.runKernel(os,m,f);return c?F(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var zi=N({depthwiseConv2d_:Qq});function tK(r){let e={x:v(r,"x","diag")};return _.runKernel(Rp,e)}var sE=N({diag_:tK});function eK(r,t,e,n,o=[1,1],s="NHWC"){let i=v(r,"x","dilation2d"),a=v(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=F(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(Al,c,p);return l?F(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Ux=N({dilation2d_:eK});function rK(r,t){let e=v(r,"a","equal","string_or_numeric"),n=v(t,"b","equal","string_or_numeric");[e,n]=Xt(e,n),zt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(xa,o)}var Ar=N({equal_:rK});function nK(r,t,e){let n=v(t,"a","where"),o=v(e,"b","where"),s=v(r,"condition","where","bool"),i=zt(zt(s.shape,n.shape),o.shape),a=Mi(s,i),u=Mi(n,i),l=Mi(o,i),c={condition:a,t:u,e:l};return _.runKernel(wi,c)}var De=N({where_:nK});function oK(r){let e={x:v(r,"x","zerosLike")};return _.runKernel(Ti,e)}var St=N({zerosLike_:oK});function sK(r,t){let e=v(r,"a","div"),n=v(t,"b","div");[e,n]=Xt(e,n);let o=ct(e,n),s=St(o),i=Ar(n,s);return De(i,s,o)}var Hx=N({divNoNan_:sK});function iK(r,t){let e=v(r,"t1","dot"),n=v(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 ${s}.`),e.rank===1&&n.rank===1){let i=F(e,[1,-1]),a=F(n,[-1,1]),u=Gt(i,a);return F(u,[])}else if(e.rank===1&&n.rank===2){let i=F(e,[1,-1]),a=F(n,[n.shape[0],n.shape[1]]),u=Gt(i,a);return F(u,[u.size])}else if(e.rank===2&&n.rank===1){let i=F(n,[-1,1]),a=Gt(e,i);return F(a,[a.size])}else{let i=F(n,[n.shape[0],n.shape[1]]);return Gt(e,i)}}var qx=N({dot_:iK});function aK(r,...t){let e=t.map((o,s)=>v(o,`tensors${s}`,"einsum")),n={equation:r};return _.runKernel(Fp,e,n)}var iE=N({einsum_:aK});function lK(r){let e={x:v(r,"x","elu","float32")};return _.runKernel(is,e)}var Bi=N({elu_:lK});function uK(r){let t=v(r,"x","erf");A(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=tt(t,"float32"));let e={x:t};return _.runKernel(ga,e)}var Kx=N({erf_:uK});function uS(r,t){for(let e=0;e<r.length;++e)if(r[r.length-e-1]!==t-1-e)return!1;return!0}function aE(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 cS(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 xo(r,t){let e=t.map(n=>1);return aE(r,e,t)}function cK(r,t,e){A(uS(t,e),()=>`${r} supports only inner-most axes for now. Got axes ${t} and rank-${e} input.`)}function pS(r,t){if(uS(r
rank ${s.rank}.`),A(na(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,a=!1;s.rank===3&&(a=!0,i=F(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(Dl,u,l);return a?F(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var Qx=N({localResponseNormalization_:OK});function PK(r){let e={x:v(r,"x","log","float32")};return _.runKernel(fs,e)}var Sr=N({log_:PK});function LK(r){let e={x:v(r,"x","log1p")};return _.runKernel(ka,e)}var Ql=N({log1p_:LK});function MK(r){return A(ui(r),()=>"The f passed in grad(f) must be a function"),(t,e)=>{let n=v(t,"x","tf.grad","string_or_numeric"),o=e!=null?v(e,"dy","tf.grad"):null;return _.tidy(()=>{let{value:s,grads:i}=_.gradients(()=>r(n),[n],o);return o!=null&&Fe(s.shape,o.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),ey(i),i[0]})}}function zK(r){return A(ui(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=ja(t,"args","tf.grads","string_or_numeric"),o=e!=null?v(e,"dy","tf.grads"):null;return _.tidy(()=>{let{value:s,grads:i}=_.gradients(()=>r(...n),n,o);return o!=null&&Fe(s.shape,o.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),ey(i),i})}}function BK(r){return A(ui(r),()=>"The f passed in valueAndGrad(f) must be a function"),(t,e)=>{A(t instanceof Lt,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),A(e==null||e instanceof Lt,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:n,value:o}=_.gradients(()=>r(t),[t],e);return ey(n),{grad:n[0],value:o}}}function VK(r){return A(ui(r),()=>"The f passed in valueAndGrads(f) must be a function"),(t,e)=>{A(Array.isArray(t)&&t.every(o=>o instanceof Lt),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),A(e==null||e instanceof Lt,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let n=_.gradients(()=>r(...t),t,e);return e!=null&&Fe(n.value.shape,e.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),ey(n.grads),n}}function ty(r,t){A(ui(r),()=>"The f passed in variableGrads(f) must be a function"),A(t==null||Array.isArray(t)&&t.every(l=>l instanceof Ka),()=>"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 ey(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 GK(r){let e={x:v(r,"x","softplus")};return _.runKernel(Va,e)}var Hs=N({softplus_:GK});function WK(r){let t=v(r,"x","logSigmoid");return un(n=>({value:Yt(Hs(Yt(n))),gradFunc:i=>O(i,Kr(Yt(n)))}))(t)}var ry=N({logSigmoid_:WK});function UK(r,t){let e=v(r,"a","sub"),n=v(t,"b","sub");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(Bs,o)}var ut=N({sub_:UK});function HK(r,t=-1){let e=v(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=Mr(o,t,!0),u=ut(o,a),l=ut(tt(u,"float32"),Sr(ft(or(u),t,!0)));return s([l]),{value:l,gradFunc:(p,m)=>{let[f]=m,d=!0,h=or(f);return ut(p,O(ft(p,t,d),h))}}})(e)}var ym=N({logSoftmax_:HK});function qK(r,t=null,e=!1){let n=v(r,"x","logSumExp"),o=ur(t,n.shape),s=Mr(n,o,!0),i=ut(n,s),a=or(i),u=ft(a,o),l=Sr(u),c=J(F(s,l.shape),l);if(e){let p=xo(c.shape,o);return F(c,p)}return c}var bm=N({logSumExp_:qK});function KK(r,t){let e=v(r,"a","logicalAnd","bool"),n=v(t,"b","logicalAnd","bool");zt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(_a,o)}var Dr=N({logicalAnd_:KK});function jK(r){let e={x:v(r,"x","logicalNot","bool")};return _.runKernel(Ea,e)}var tu=N({logicalNot_:jK});function XK(r,t){let e=v(r,"a","logicalOr","bool"),n=v(t,"b","logicalOr","bool");zt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(Aa,o)}var wm=N({logicalOr_:XK});function YK(r,t){let e=v(r,"a","logicalXor","bool"),n=v(t,"b","logicalXor","bool");return zt(e.shape,n.shape),Dr(wm(r,t),tu(Dr(r,t)))}var ny=N({logicalXor_:YK});var oy=2147483648;function ZK(r,t,e="left"){let n=v(r,"sortedSequence","searchSorted"),o=v(t,"values","searchSorted"),s=n.shape[n.shape.length-1],i=o.shape[o.shape.length-1],a=F(n,[-1,s]),u=F(o,[-1,i]);if(a.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(a.shape[0]!==u.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(Qt(u.shape)>=oy)throw new Error(`values tensor size must less than ${oy}`);if(a.shape[1]>=oy)throw new Error(`trailing dim_size must less than ${oy} for int32 output type, was ${a.shape[1]}`);let l={sortedSequence:a,values:u},c={side:e};return _.runKernel(Xp,l,c)}var Ch=N({searchSorted_:ZK});function cE(r,t){return Ch(r,t,"left")}function JK(r,t,e,n,o){let s=v(r,"x","maxPool"),i=1,a=s,u=!1;s.rank===3&&(u=!0,a=F(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(Er(e,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${e} and dilations '${i}'`),Te("maxPool",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=_.runKernel(gs,l,c);return u?F(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var eu=N({maxPool_:JK});function QK(r,t=[1,1,1],e,n,o,s="NDHWC"){let i=v(r,"x","maxPool3d"),a=i,u=!1;i.rank===4&&(u=!0,a=F(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}`),Te("maxPool3d",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=_.runKernel(Rl,l,c);return u?F(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var sy=N({maxPool3d_:QK});function tj(r,t,e,n,o=!1){let i={x:v(r,"x","maxPoolWithArgmax")},a={filterSize:t,strides:e,pad:n,includeBatchInIndex:o},u=_.runKernel(Wp,i,a);return{result:u[0],indexes:u[1]}}var pE=N({maxPoolWithArgmax_:tj});function ej(r,t){let e=v(r,"a","maximum"),n=v(t,"b","maximum");[e,n]=Xt(e,n),e.dtype==="bool"&&(e=tt(e,"int32"),n=tt(n,"int32")),zt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(hs,o)}var Tn=N({maximum_:ej});function rj(r,t=null,e=!1){let o={x:v(r,"x","mean")},s={axis:t,keepDims:e};return _.runKernel(xs,o,s)}var ke=N({mean_:rj});function _e(r,t="float32"){if(t==="complex64"){let n=_e(r,"float32"),o=_e(r,"float32");return Cn(n,o)}let e=
${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(Ol,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}var _A=N({sparseFillEmptyRows_:I5});function S5(r,t,e){let n=v(r,"inputIndices","sparseReshape","int32"),o=v(t,"inputShape","sparseReshape","int32"),s=v(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 ${s.shape}`);let i={inputIndices:n,inputShape:o,newShape:s},a=_.runKernel(Ga,i);return{outputIndices:a[0],outputShape:a[1]}}var EA=N({sparseReshape_:S5});function T5(r,t,e){let n=v(r,"data","sparseSegmentMean"),o=v(t,"indices","sparseSegmentMean","int32"),s=v(e,"segmentIds","sparseSegmentMean","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape
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${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape
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${s.shape}`);let i={data:n,indices:o,segmentIds:s};return _.runKernel(Pl,i)}var AA=N({sparseSegmentMean_:T5});function N5(r,t,e){let n=v(r,"data","sparseSegmentSum"),o=v(t,"indices","sparseSegmentSum","int32"),s=v(e,"segmentIds","sparseSegmentSum","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error(`Indices should be Tensor1D but received shape
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${o.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape
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${s.shape}`);let i={data:n,indices:o,segmentIds:s};return _.runKernel(Ll,i)}var $A=N({sparseSegmentSum_:N5});function k5(r,t,e,n,o,s,i,a){let u=v(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=v(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(zl,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var DA=N({stringNGrams_:k5});function _5(r,t,e=!0){let n=v(r,"input","stringSplit","string"),o=v(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(Bl,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var RA=N({stringSplit_:_5});function E5(r,t){let e=v(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(Vl,o,n)}var FA=N({stringToHashBucketFast_:E5});var A5={fft:iu,ifft:Qa,rfft:au,irfft:Am},$5={hammingWindow:tA,hannWindow:Ty,frame:Ny,stft:eA},uu={flipLeftRight:nA,grayscaleToRGB:oA,resizeNearestNeighbor:$y,resizeBilinear:Ay,rotateWithOffset:sA,cropAndResize:rA,nonMaxSuppression:iA,nonMaxSuppressionAsync:uA,nonMaxSuppressionWithScore:cA,nonMaxSuppressionWithScoreAsync:pA,nonMaxSuppressionPadded:mA,nonMaxSuppressionPaddedAsync:fA,threshold:dA,transform:hA},vS={bandPart:gA,gramSchmidt:xA,qr:bA},D5={absoluteDifference:wA,computeWeightedLoss:zr,cosineDistance:CA,hingeLoss:vA,huberLoss:IA,logLoss:SA,meanSquaredError:TA,sigmoidCrossEntropy:NA,softmaxCrossEntropy:kA},R5={sparseFillEmptyRows:_A,sparseReshape:EA,sparseSegmentMean:AA,sparseSegmentSum:$A},F5={stringNGrams:DA,stringSplit:RA,stringToHashBucketFast:FA};var Br=class extends bh{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 ty(t,e)}dispose(){this.iterations_!=null&&_t(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:mt(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 ${this.getClassName()}`)}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(Br,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var cu=class extends Br{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=_.backend.epsilon())}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=_.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName:`${n}/accum_grad`,variable:G(()=>St(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName:`${n}/accum_var`,variable:G(()=>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;G(()=>{let c=J(O(u,this.rho),O(Ht(a),1-this.rho)),p=O(ct(Ne(J(l,this.epsilon)),Ne(J(u,this.epsilon))),a),m=J(O(l,this.rho),O(Ht(p),1-this.rho));u.assign(c),l.assign(m);let f=J(O(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumul
indices.shape[0] = ${r}`}function yX(r,t){return`indices(${r}, 0) is invalid: ${t} < 0`}function bX(r,t,e){return`indices(${r}, 0) is invalid: ${t} >= ${e}`}function wX(r,t){return`only one output dimension may be -1, not both ${r} and ${t}`}function CX(r,t){return`size ${r} must be non-negative, not ${t}`}function vX(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function IX(r,t){let e=Qt(r),n=Qt(t);return`Input to reshape is a SparseTensor with ${e}
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1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
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'className' and 'config' must set.`);let i=s.className,a,u;if(i in e?[a,u]=e[i]:i in wo?[a,u]=wo.className:i in t&&([a,u]=t[i]),a==null)throw new z(`Unknown ${n}: ${i}. This may be due to one of the following reasons:
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1. The ${n} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
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2. The custom ${n} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(u!=null){let l={};for(let f of Object.keys(wo))l[f]=wo[f];for(let f of Object.keys(e))l[f]=e[f];let c=s.config;c.customObjects=l;let p=Object.assign({},wo);for(let f of Object.keys(e))wo[f]=e[f];$S(s.config);let m=u(a,s.config,e,o);return wo=Object.assign({},p),m}else{let l=Object.assign({},wo);for(let p of Object.keys(e))wo[p]=e[p];let c=new a(s.config);return wo=Object.assign({},l),c}}}function UX(r,t){return r<t?-1:r>t?1:0}function kh(r,t){return-1*UX(r,t)}function Io(r){if(r==null)return r;let t=[];for(let e of r)t.indexOf(e)===-1&&t.push(e);return t}function R$(r){if(r==null)throw new z(`Invalid value in obj: ${JSON.stringify(r)}`);for(let t in r)if(r.hasOwnProperty(t))return!1;return!0}function Xi(r,t,e){if(e!=null&&r.indexOf(e)<0)throw new z(`${e} is not a valid ${t}. Valid values are ${r} or null/undefined.`)}function Oy(r,t,e=0,n=1/0){return to(e>=0),to(n>=e),Array.isArray(r)&&r.length>=e&&r.length<=n&&r.every(o=>typeof o===t)}function Je(r,t){Array.isArray(r)?(y.assert(r.length>0,()=>`${t} is unexpectedly an empty array.`),r.forEach((e,n)=>Je(e,`element ${n+1} of ${t}`))):y.assert(Number.isInteger(r)&&r>0,()=>`Expected ${t} to be a positive integer, but got ${F$(r)}.`)}function F$(r){return r===null?"null":Array.isArray(r)?"["+r.map(t=>F$(t)).join(",")+"]":typeof r=="string"?`"${r}"`:`${r}`}function O$(r,t,e){let n=e!=null?e():y.now(),o;return(...i)=>{let a=e!=null?e():y.now();return a-n<t||(n=a,o=r(...i)),o}}function Py(r){return r==="relu"?"relu":r==="linear"?"linear":r==="elu"?"elu":null}var HX=0;function My(){return HX++}var Ly={};function gu(r=""){return r in Ly||(Ly[r]=0),Ly[r]+=1,r+Ly[r].toString()}var P$=["channelsFirst","channelsLast"],L$=["nearest","bilinear"],M$=["valid","same","causal"],z$=["max","avg"],B$=["sum","mul","concat","ave"];var Lm=new Map;function Pe(r){Xi(P$,"DataFormat",r)}function G$(r){Xi(L$,"InterpolationFormat",r)}function pn(r){Xi(M$,"PaddingMode",r)}function RS(r){Xi(z$,"PoolMode",r)}var _h=[],V$="/";function Ys(r,t){_h.push(r);try{let e=t();return _h.pop(),e}catch(e){throw _h.pop(),e}}function qX(){return _h.length===0?"":_h.join(V$)+V$}function zy(r){if(!W$(r))throw new Error("Not a valid tensor name: '"+r+"'");return qX()+r}function By(r){if(!W$(r))throw new Error("Not a valid tensor name: '"+r+"'");Lm.has(r)||Lm.set(r,0);let t=Lm.get(r);if(Lm.set(r,Lm.get(r)+1),t>0){let e=`${r}_${t}`;return Lm.set(e,1),e}else return r}var KX=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function W$(r){return!!r.match(KX)}function U$(r){return r===parseInt(r.toString(),10)}function So(r,t,e){t==null&&(t=0),e==null&&(e=r.length);let n=1;for(let o=t;o<e;++o)n*=r[o];return n}function dc(r){if(r.length===0)return Number.NaN;let t=Number.POSITIVE_INFINITY;for(let e=0;e<r.length;e++){let n=r[e];n<t&&(t=n)}return t}function Zs(r){if(r.length===0)return Number.NaN;let t=Number.NEGATIVE_INFINITY;for(let e=0;e<r.length;e++){let n=r[e];n>t&&(t=n)}return t}function jr(r,t){if(t<r)throw new z(`end (${t}) < begin (${r}) is forbidden.`);let e=[];for(let n=r;n<t;++n)e.push(n);return e}var FS;function ar(){return FS==null&&(FS=$_().epsilon()),FS}function mn(){return"channelsLast"}function hc(r,t){return tt(r,t)}function rl(r,t=-1){let e=r.shape.slice();return t<0&&(t=e.length+t+1),e.splice(t,0,1),F(r,e)}function H$(r,t){return G(()=>{if(r.shape.length!==2)throw new z(`repeat() expects a rank-2 tensor, but received a rank-${r.shape.length} tensor.`);let e=rl(r,1);return Gy(e,[1,t,1])})}function q$(r){let t=[So(r.shape)];return F(r,t)}function K$(r){if(r.rank<=1)throw new z(`batchFlatten requires a minimum rank of 2. Got rank: ${r.rank}.`);let t=[r.shape[0],So(r.shape,1)];return F(r,t)}function el(r,t,e){return G(()=>{switch(r.rank){case 1:return _m(r,t,e);case 2:return Ih(r,[t,0],[e,r.shape[1]]);case 3:return Em(r,[t,0,0],[e,r.shape[1],r.shape[2]]);case 4:return lc(r,[t,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3]]);case 5:return Ot(r,[t,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4]])
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tensor.shape[0], but sum of lengths is
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${n}, and tensor's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${t.length}), and the TensorArray is not marked as dynamically resizeable`);let s=n===0?0:e.size/n,i=[];G(()=>{e=F(e,[1,n,s]);for(let u=0;u<t.length;++u){let l=u===0?0:o[u-1],c=[0,l,0],p=[1,t[u],s];i[u]=F(Ot(e,c,p),this.elementShape)}return i});let a=[];for(let u=0;u<t.length;u++)a[u]=u;this.writeMany(a,i)}};var pl=class{constructor(t,e,n,o=-1){this.tensors=t,this.elementShape=e,this.elementDtype=n,t!=null&&t.forEach(s=>{if(n!==s.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${s.dtype}`);Vn(e,s.shape,"TensorList shape mismatch: "),Oe(s)}),this.idTensor=mt(0),this.maxNumElements=o,Oe(this.idTensor)}get id(){return this.idTensor.id}copy(){return new pl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Vn(t,this.elementShape,"TensorList shape mismatch: ");let o=nd(this.elementShape,this.tensors,t);return G(()=>{let s=this.tensors.map(i=>F(i,o));return sr(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=nd(this.elementShape,this.tensors,t),o=this.tensors.pop();return o.kept=!1,Vn(o.shape,t,"TensorList shape mismatch: "),F(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(Vn(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Oe(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${t}`);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error(`TensorListResize input size ${t} is greater maxNumElement ${this.maxNumElements}.`);let e=new pl([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;n<Math.min(this.tensors.length,t);++n)e.tensors[n]=this.tensors[n];return e}getItem(t,e,n){if(n!==this.elementDtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${this.elementDtype}`);if(t<0||t>this.tensors.length)throw new Error(`Trying to access element ${t} in a list with ${this.tensors.length} elements.`);if(this.tensors[t]==null)throw new Error(`element at index ${t} is null.`);Vn(this.tensors[t].shape,e,"TensorList shape mismatch: ");let o=nd(this.elementShape,this.tensors,e);return F(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error(`Trying to set element ${t} in a list with max ${this.maxNumElements} elements.`);Vn(this.elementShape,e.shape,"TensorList shape mismatch: "),Oe(e),this.tensors[t]!=null&&(this.tensors[t].kept=!1),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e}, but list elements ${this.elementDtype}`);Vn(this.elementShape,n,"TensorList shape mismatch: "),t=t.slice(0,this.size());let o=nd(this.elementShape,this.tensors,n);return t.length===0?vr([],[0].concat(o)):G(()=>{let s=t.map(i=>F(this.tensors[i],o));return sr(s,0)})}concat(t,e){if(!!t&&t!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${t}`);Vn(this.elementShape,e,"TensorList shape mismatch: ");let
2022-03-07 19:17:31 +01:00
tensor.shape[0], but sum of lengths is
2022-08-24 14:21:15 +02:00
${n}, and tensor's shape is: ${r.shape}`);let s=r.shape.slice(1),i=Jb(s,e),a=n===0?0:r.size/n,u=G(()=>{let c=[];r=F(r,[1,n,a]);for(let p=0;p<t.length;++p){let m=p===0?0:o[p-1],f=[0,m,0],d=[1,t[p],a];c[p]=F(Ot(r,f,d),i)}return r.dispose(),c}),l=new pl([],e,r.dtype,t.length);for(let c=0;c<u.length;c++)l.setItem(c,u[c]);return l}var nR=async(r,t,e)=>{switch(r.op){case"If":case"StatelessIf":{let n=I("thenBranch",r,t,e),o=I("elseBranch",r,t,e),s=I("cond",r,t,e),i=I("args",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case"While":case"StatelessWhile":{let n=I("body",r,t,e),o=I("cond",r,t,e),s=I("args",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case"LoopCond":{let n=I("pred",r,t,e);return[ri(n)]}case"Switch":{let n=I("pred",r,t,e),o=I("data",r,t,e);return o.kept||(o=ri(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case"Merge":{let n=r.inputNames.find(o=>wr(o,t,e)!==void 0);if(n){let o=wr(n,t,e);return[ri(o)]}return}case"Enter":{let n=I("frameName",r,t,e),o=I("tensor",r,t,e);return e.enterFrame(n),[ri(o)]}case"Exit":{let n=I("tensor",r,t,e);return e.exitFrame(),[ri(n)]}case"NextIteration":{let n=I("tensor",r,t,e);return e.nextIteration(),[ri(n)]}case"TensorArrayV3":{let n=I("size",r,t,e),o=I("dtype",r,t,e),s=I("elementShape",r,t,e),i=I("dynamicSize",r,t,e),a=I("clearAfterRead",r,t,e),u=I("identicalElementShapes",r,t,e),l=I("name",r,t,e),c=new Qb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,mt(1)]}case"TensorArrayWriteV3":{let n=I("tensorArrayId",r,t,e),o=I("index",r,t,e),s=I("tensor",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case"TensorArrayReadV3":{let n=I("tensorArrayId",r,t,e),o=I("index",r,t,e);return[e.getTensorArray(n.id).read(o)]}case"TensorArrayGatherV3":{let n=I("tensorArrayId",r,t,e),o=I("indices",r,t,e),s=I("dtype",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case"TensorArrayScatterV3":{let n=I("tensorArrayId",r,t,e),o=I("indices",r,t,e),s=I("tensor",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case"TensorArrayConcatV3":{let n=I("tensorArrayId",r,t,e),o=e.getTensorArray(n.id),s=I("dtype",r,t,e);return[o.concat(s)]}case"TensorArraySplitV3":{let n=I("tensorArrayId",r,t,e),o=I("tensor",r,t,e),s=I("lengths",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case"TensorArraySizeV3":{let n=I("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return[mt(o.size(),"int32")]}case"TensorArrayCloseV3":{let n=I("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case"TensorListSetItem":{let n=I("tensorListId",r,t,e),o=I("index",r,t,e),s=I("tensor",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case"TensorListGetItem":{let n=I("tensorListId",r,t,e),o=I("index",r,t,e),s=I("elementShape",r,t,e),i=I("elementDType",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let n=I("indices",r,t,e),o=I("tensor",r,t,e),s=I("elementShape",r,t,e),i=I("numElements",r,t,e),a=eR(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let n=I("elementShape",r,t,e),o=I("elementDType",r,t,e),s;r.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=I(s,r,t,e),a=r.op==="TensorListReserve"?-1:i,u=tR(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case"TensorListGather":{let n=I("tensorListId",r,t,e),o=I("indices",r,t,e),s=I("elementShape",r,t,e),i=I("ele
${t}`);let o;return this.size===1/0||this.size==null?o=this.size:e?o=Math.ceil(this.size/t):o=Math.floor(this.size/t),En(async()=>(await n.iterator()).columnMajorBatch(t,e,rJ),o)}concatenate(t){let e=this,n;return this.size===1/0||t.size===1/0?n=1/0:this.size!=null&&t.size!=null?n=this.size+t.size:n=null,En(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){let e=this,n;return this.size===1/0?n=1/0:n=null,En(async()=>(await e.iterator()).filter(o=>G(()=>t(o))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){let e=this;return En(async()=>(await e.iterator()).map(n=>G(()=>t(n))),this.size)}mapAsync(t){let e=this;return En(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(t==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let e=this;return En(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){let e=this,n;return this.size!=null&&t>0?n=this.size*t:t===0?n=0:this.size!=null&&(t===void 0||t<0)?n=1/0:n=null,En(async()=>{let o=qh(async()=>({value:await e.iterator(),done:!1}));return ER(o.take(t))},n)}skip(t){let e=this,n;return this.size!=null&&t>=0&&this.size>=t?n=this.size-t:this.size!=null&&(this.size<t||t===void 0||t<0)?n=0:n=null,En(async()=>(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(t==null||t<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let o=this,s=$R.alea(e||y.now().toString());return En(async()=>{let i=s.int32();return n&&(i+=s.int32()),(await o.iterator()).shuffle(t,i.toString())},this.size)}take(t){let e=this,n;return this.size!=null&&this.size>t?n=t:this.size!=null&&this.size<=t?n=this.size:n=null,En(async()=>(await e.iterator()).take(t),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};ni.MAX_BUFFER_SIZE=1e4;function En(r,t=null){return new class extends ni{constructor(){super(...arguments),this.size=t}async iterator(){return r()}}}function DR(r){return En(async()=>VT(r),r.length)}function RR(r){if(!Su(r))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(r))for(let e=0;e<r.length;e++)t=t==null?r[e].size:Math.min(t,r[e].size);else if(r instanceof Object)for(let e in r)t=t==null?r[e].size:Math.min(t,r[e].size);return En(async()=>{let e=await nw(r,n=>{if(n instanceof ni)return{value:n.iterator(),recurse:!1};if(Su(n))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return AR(e,ml.SHORTEST)},t)}function rJ(r){if(r===null)return null;let t=r[0];return NR(t)?{value:nJ(r),recurse:!1}:{value:null,recurse:!0}}function nJ(r){if(r.length===0)throw new Error("Can't make a batch of zero elements.");return r[0]instanceof Lt?sr(r):vr(r)}var sd=class extends ni{constructor(t){super(),this.input=t}async iterator(){return(await this.input.iterator()).decodeUTF8().split(`
`).map(o=>(o.endsWith("\r")&&(o=o.slice(0,-1)),o))}};var aw='"',Kh=Symbol("out"),FR=Symbol("field"),lw=Symbol("quote"),GT=Symbol("quoteafterquote"),OR=Symbol("quoteinquote"),id=class extends ni{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new sd(t),e||(e={}),this.hasHeader=e.hasHeader!==!1,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(y.assert(e.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=e.delimiter?e.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&t&&y.assert(t.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=t);let e=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(e).filter(o=>e[o]>1);if(y.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let n=e.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(e=>this.makeDataElement(e))}makeDataElement(t){let e=this.parseRow(t),n={},o={};for(let s=0;s<this.fullColumnNames.length;s++){let i=this.fullColumnNames[s],a=this.columnConfigs?this.columnConfigs[i]:null;if(!(this.configuredColumnsOnly&&!a)){let u=e[s],l=null;if(u==="")if(a&&a.default!==void 0)l=a.default;else{if(a&&(a.required||a.isLabel))throw new Error(`Required column ${i} is empty in this line: ${t}`);l=void 0}else{let c=Number(u);if(isNaN(c))a&&a.dtype==="bool"?l=this.getBoolean(u):l=u;else if(!a||!a.dtype)l=c;else switch(a.dtype){case"float32":l=c;break;case"int32":l=Math.floor(c);break;case"bool":l=this.getBoolean(u);break;default:l=c}}a&&a.isLabel?o[i]=l:n[i]=l}}return Object.keys(o).length===0?n:{xs:n,ys:o}}getBoolean(t){return t==="1"||t.toLowerCase()==="true"?1:0}parseRow(t,e=!0){let n=[],o=0,s=t.length,i=Kh;for(let a=0;a<s;a++)switch(i){case Kh:switch(t.charAt(a)){case aw:o=a+1,i=lw;break;case this.delimiter:if(o=a+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),i=Kh;break;default:i=FR,o=a;break}break;case FR:switch(t.charAt(a)){case this.delimiter:n.push(t.substring(o,a)),i=Kh,o=a+1;break;default:}break;case lw:switch(t.charAt(a)){case aw:i=GT;break;default:}break;case GT:switch(t.charAt(a)){case this.delimiter:n.push(t.substring(o,a-1)),i=Kh,o=a+1;break;case aw:i=lw;break;default:i=OR;break}break;case OR:switch(t.charAt(a)){case aw:i=lw;break;default:}break;default:}if(i===GT?n.push(t.substring(o,s-1)):n.push(t.substring(o)),e&&n.length!==this.fullColumnNames.length)throw new Error(`Invalid row in csv file. Should have ${this.fullColumnNames.length} elements in a row, but got ${n}`);return n}};var ad=class extends Qe{constructor(t){super(),this.microphoneConfig=t,this.isClosed=!1,this.fftSize=t.fftSize||1024;let e=Math.log2(this.fftSize);if(this.fftSize<0||e<4||e>14||!Number.isInteger(e))throw new Error(`Inval
2022-03-07 19:17:31 +01:00
============================
2022-05-18 14:36:05 +02:00
Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details.
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============================`));let 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&&y.isString(n[0])){let s=n.map(i=>y.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 S.mergeRealAndImagArrays(o,s)}return this.data.get(t).values}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype==="string")try{let n=e.map(o=>y.decodeString(o));return vt(t.shape,t.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return vt(t.shape,t.dtype,e)}makeOutput(t,e,n){return go().makeTensorFromTensorInfo(this.makeTensorInfo(e,n,t),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=y.now();return t(),{kernelMs:y.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){nt([t],"where");let e=this.readSync(t.dataId);return sJ(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Tu.nextDataId=0;var Sw={};jt(Sw,{addImpl:()=>YT,bincountImpl:()=>hd,bincountReduceImpl:()=>mw,castImpl:()=>XT,ceilImpl:()=>ZT,concatImpl:()=>Pc,equalImpl:()=>JT,expImpl:()=>tN,expm1Impl:()=>rN,floorImpl:()=>nN,gatherNdImpl:()=>fw,gatherV2Impl:()=>dw,greaterEqualImpl:()=>sN,greaterImpl:()=>oN,lessEqualImpl:()=>aN,lessImpl:()=>iN,linSpaceImpl:()=>hw,logImpl:()=>lN,maxImpl:()=>gw,maximumImpl:()=>uN,minimumImpl:()=>cN,multiplyImpl:()=>Xh,negImpl:()=>pN,notEqualImpl:()=>mN,prodImpl:()=>fN,raggedTensorToTensorImpl:()=>xw,rangeImpl:()=>Mc,rsqrtImpl:()=>dN,scatterImpl:()=>fl,sigmoidImpl:()=>hF,simpleAbsImpl:()=>jT,sliceImpl:()=>zc,sparseFillEmptyRowsImpl:()=>yw,sparseReshapeImpl:()=>bw,sparseSegmentReductionImpl:()=>yd,sqrtImpl:()=>yF,squaredDifferenceImpl:()=>gN,stridedSliceImpl:()=>ww,stringNGramsImpl:()=>Bc,stringSplitImpl:()=>Vc,stringToHashBucketFastImpl:()=>Gc,subImpl:()=>yN,tileImpl:()=>Cw,topKImpl:()=>vw,transposeImpl:()=>gd,uniqueImpl:()=>Iw});function jT(r){let t=new Float32Array(r.length);for(let e=0;e<r.length;++e)t[e]=Math.abs(r[e]);return t}var iJ=r=>{let{x:t}=r.inputs,e=r.backend;nt(t,"abs");let n=new Float32Array(y.sizeFromShape(t.shape)),o=e.data.get(t.dataId).values;return n=jT(o),e.makeOutput(n,t.shape,t.dtype)},WR={kernelName:pi,backendName:"cpu",kernelFunc:iJ};function re(r){return(t,e,n,o,s)=>{let i=S.assertAndGetBroadcastShape(t,e),a=i.length,u=y.computeStrides(i),l=y.sizeFromShape(i),c=y.getTypedArrayFromDType(s,l),p=t.length,m=e.length,f=y.computeStrides(t),d=y.computeStrides(e),h=S.getBroadcastDims(t,i),g=S.getBroadcastDims(e,i);if(h.length+g.length===0)for(let x=0;x<c.length;++x)c[x]=r(n[x%n.length],o[x%o.length]);else for(let x=0;x<c.length;++x){let b=y.indexToLoc(x,a,u),w=b.slice(-p);h.forEach($=>w[$]=0);let C=y.locToIndex(w,p,f),T=b.slice(-m);g.forEach($=>T[$]=0);let E=y.locToIndex(T,m,d);c[x]=r(n[C],o[E])}return[c,i]}}function Cr(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(n.shape,"complex64"),u=e.data.get(a.dataId);return u.complexTensorInfos={real:e.makeTensorInfo(n.shape,"float32",s),imag:e.makeTensorInfo(o.shape,"float32",i)},a}var UR={kernelName:Np,backendName:"cpu",kernelFunc
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${s.shape}`);if(n.shape.length!==2)throw new Error(`Indices must be a matrix, saw:
${n.shape}`);if(o.shape.length!==1)throw new Error(`Values must be a vector, saw:
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${i.shape}`);let a=e.data.get(n.dataId).values,u=e.data.get(o.dataId).values,l=e.data.get(s.dataId).values,c=e.data.get(i.dataId).values[0],[p,m,f,d,h]=yw(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 PP={kernelName:Ol,backendName:"cpu",kernelFunc:LQ};function MQ(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
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${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape
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${o.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(e.data.get(o.dataId).values),a=e.data.get(n.dataId).values,u=Array.from(e.data.get(s.dataId).values),[l,c,p]=bw(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var LP={kernelName:Ga,backendName:"cpu",kernelFunc:MQ};function zQ(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape
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${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
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${s.shape}`);if(o.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=yd(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var MP={kernelName:Pl,backendName:"cpu",kernelFunc:zQ};function BQ(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape
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${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
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${s.shape}`);if(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]=yd(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var zP={kernelName:Ll,backendName:"cpu",kernelFunc:BQ};function VQ(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}=S.calculateShapes(s,o,a),f=!1,d=e.bufferSync(o),h;switch(s.dtype){case"bool":{let g=e.bufferSync(s),x=Boolean(e.data.get(i.dataId).values[0]);h=fl(d,g,a,m,c,l,u,p,x,f);break}case"float32":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=fl(d,g,a,m,c,l,u,p,x,f);break}case"int32":{let g=e.bufferSync(s),x=e.data.get(i.dataId).values[0];h=fl(d,g,a,m,c,l,u,p,x,f);break}case"string":{let g=e.bufferSync(s),x=y.decodeString(e.data.get(i.dataId).values[0]);h=fl(d,g,a,m,c,l,u,p,x,f);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return e.makeTensorInfo(a,h.dtype,h.values)}var BP={kernelName:Yp,backendName:"cpu",kernelFunc:VQ};function GQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.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=Ro({inputs:{x:o},backend:e,attrs:{begin:l,size:m}});return l[a]+=p,f})}var VP={kernelName:Ii,backendName:"cpu",kernelFunc:GQ};var GP={kernelName:Ml,backendName:"cpu",kernelFunc:({inputs:r,backend:t})=>{let{x:e}=r,n=t;nt(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 WQ=Et(co,(r,t)=>{let e=t;return isNaN(r)?NaN:r>0?1:e.alpha}),WP={kernelName:co,backendName:"cpu",kernelFunc:WQ};function UQ(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;nt(o,"stridedSlice");let{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:x,begin:b,end:w,strides:C}=Be.sliceInfo(o.shape,s,i,a,u,l,c,p,m),T;if(h)T=Jt({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let E=Be.computeOutShape(b,w,C),$=Ro({inputs:{x:o},backend:e,attrs:{begin:b,size:E}});T=Jt({inputs:{x:$},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo($)}else{let E=e.bufferSync(o),$=ww(f,E,C,b);T=e.makeTensorInfo(d,$.dtype,$.values)}return T}var UP={kernelName:Wa,backendName:"cpu",kernelFunc:UQ};function HQ(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]=Bc(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var HP={kernelName:zl,backendName:"cpu",kernelFunc:HQ};function qQ(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]=Vc(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 qP={kernelName:Bl,backendName:"cpu",kernelFunc:qQ};function KQ(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=Gc(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var KP={kernelName:Vl,backendName:"cpu",kernelFunc:KQ};var jQ=Et(Vs,r=>Math
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`)),console.log(t.split(`
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`)[0]),console.log(`%c ${y.rightPad(l[0],a)}`,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(c.join(`
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bool isnan_custom(float val) {
uint floatToUint = floatBitsToUint(val);
return (floatToUint & 0x7fffffffu) > 0x7f800000u;
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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 si(r,t,e="index"){let n=y.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 qc(r,t,e="index"){let n=y.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}; ${a};`}).join("")}function Ctt(r,t){let e=r.length,n=r.map(s=>`${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 uL(r,t,e="index"){let n=r.map((s,i)=>i),o=Ctt(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 Sd(r){let t=y.computeStrides(r).map(e=>e.toString());return`
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int getFlatIndex(ivec3 coords) {
return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;
}
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`}function Td(){return`
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int getFlatIndex(ivec3 coords) {
return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;
}
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`}var Lw=`
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const float FLOAT_MAX = 1.70141184e38;
const float FLOAT_MIN = 1.17549435e-38;
lowp vec4 encode_float(highp float v) {
if (isnan(v)) {
return vec4(255, 255, 255, 255);
}
highp float av = abs(v);
if(av < FLOAT_MIN) {
return vec4(0.0, 0.0, 0.0, 0.0);
} else if(v > FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
} else if(v < -FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;
}
highp vec4 c = vec4(0,0,0,0);
highp float e = floor(log2(av));
highp float m = exp2(fract(log2(av))) - 1.0;
c[2] = floor(128.0 * m);
m -= c[2] / 128.0;
c[1] = floor(32768.0 * m);
m -= c[1] / 32768.0;
c[0] = floor(8388608.0 * m);
highp float ebias = e + 127.0;
c[3] = floor(ebias / 2.0);
ebias -= c[3] * 2.0;
c[2] += floor(ebias) * 128.0;
c[3] += 128.0 * step(0.0, -v);
return c / 255.0;
}
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`;var{getBroadcastDims:cL}=S;function pL(r,t,e){let n=[];if(r.forEach(f=>{let d=y.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}=Mw(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?`[${f.arrayIndex}]`:""};`)});let o=n.join(`
`),s=r.map(f=>vtt(f,t,e.packedInputs,e.enableShapeUniforms)).join(`
`),i=t.texShape,a=He(),u=Ttt(a),l,c,p=_tt(a);return t.isPacked?(l=Itt(t.logicalShape,i,e.enableShapeUniforms),c=ktt(a)):(l=Stt(t.logicalShape,i,e.enableShapeUniforms),c=Ntt(a)),e.packedInputs&&(p+=Dtt),[p,u,c,o,l,s,e.userCode].join(`
`)}function kd(r,t=!1){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return Utt(r,t);case 1:return qtt(r,t);case 2:return jtt(r,t);case 3:return Ytt(r,t);case 4:return Jtt(r,t);case 5:return Qtt(r);case 6:return tet(r);default:throw new Error(`${e.length}-D input sampling is not yet supported`)}}function mL(r,t){switch(r.shapeInfo.logicalShape.length){case 0:return Wtt(r);case 1:return Htt(r,t);case 2:return Ktt(r,t);case 3:return Xtt(r,t);default:return Ztt(r,t)}}function vtt(r,t,e=!1,n){let o="";e?o+=mL(r,n):o+=kd(r,n);let s=r.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(e?o+=eet(r,t):o+=ret(r,t)),o}function Itt(r,t,e){switch(r.length){case 0:return fL();case 1:return Rtt(r,t,e);case 2:return Vtt(r,t,e);case 3:return Ott(r,t,e);default:return Ltt(r,t,e)}}function Stt(r,t,e){switch(r.length){case 0:return fL();case 1:return Ftt(r,t,e);case 2:return Gtt(r,t,e);case 3:return Ptt(r,t,e);case 4:return Mtt(r,t,e);case 5:return ztt(r,t);case 6:return Btt(r,t);default:throw new Error(`${r.length}-D output sampling is not yet supported`)}}function Ttt(r){return`
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float sampleTexture(sampler2D textureSampler, vec2 uv) {
return ${r.texture2D}(textureSampler, uv).r;
}
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`}function Ntt(r){return`
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void setOutput(float val) {
${r.output} = vec4(val, 0, 0, 0);
}
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`}function ktt(r){return`
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void setOutput(vec4 val) {
${r.output} = val;
}
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`}function _tt(r){return`${r.version}
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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}
${r.defineRound}
int imod(int x, int y) {
return x - y * (x / y);
}
int idiv(int a, int b, float sign) {
int res = a / b;
int mod = imod(a, b);
if (sign < 0. && mod != 0) {
res -= 1;
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}
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return res;
}
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//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
#define HASHSCALE1 443.8975
float random(float seed){
vec2 p = resultUV * seed;
vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);
p3 += dot(p3, p3.yzx + 19.19);
return fract((p3.x + p3.y) * p3.z);
}
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${Ett}
${Att}
${$tt}
`}var Ett=`
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vec2 uvFromFlat(int texNumR, int texNumC, int index) {
int texR = index / texNumC;
int texC = index - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
vec2 packedUVfrom1D(int texNumR, int texNumC, int index) {
int texelIndex = index / 2;
int texR = texelIndex / texNumC;
int texC = texelIndex - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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`,Att=`
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vec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,
int texNumC, int row, int col) {
int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);
int texR = texelIndex / texNumC;
int texC = texelIndex - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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`,$tt=`
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vec2 packedUVfrom3D(int texNumR, int texNumC,
int texelsInBatch, int texelsInLogicalRow, int b,
int row, int col) {
int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);
int texR = index / texNumC;
int texC = index - texR * texNumC;
return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);
}
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`,Dtt=`
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float getChannel(vec4 frag, vec2 innerDims) {
vec2 modCoord = mod(innerDims, 2.);
return modCoord.x == 0. ?
(modCoord.y == 0. ? frag.r : frag.g) :
(modCoord.y == 0. ? frag.b : frag.a);
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}
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float getChannel(vec4 frag, int dim) {
float modCoord = mod(float(dim), 2.);
return modCoord == 0. ? frag.r : frag.g;
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}
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`;function fL(){return`
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int getOutputCoords() {
return 0;
}
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`}function Rtt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?e?`
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int getOutputCoords() {
return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));
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}
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`:`
int getOutputCoords() {
return 2 * int(resultUV.x * ${n[1]}.0);
}
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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);
}
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`}function Ftt(r,t,e){return t[0]===1?e?`
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int getOutputCoords() {
return int(resultUV.x * float(outTexShape[1]));
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}
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`:`
int getOutputCoords() {
return int(resultUV.x * ${t[1]}.0);
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}
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`:t[1]===1?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 * ${t[1]} + resTexRC.y;
}
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`}function Ott(r,t,e){if(e)return`
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ivec3 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));
int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int b = index / texelsInBatch;
index -= b * texelsInBatch;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
return ivec3(b, r, c);
}
`;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[2]/2),s=o*Math.ceil(r[1]/2);return`
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${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, ${o}) * 2;
return ivec3(b, r, c);
}
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`}function Ptt(r,t,e){if(e)return`
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
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${qc(["r","c","d"],r)}
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return ivec3(r, c, d);
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}
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`;let n=si(["r","c","d"],r);return`
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ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
return ivec3(r, c, d);
}
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`}function Ltt(r,t,e){if(e)return`
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ivec4 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));
int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));
int texelsInBatchN = texelsInBatch * outShape[1];
int b2 = index / texelsInBatchN;
index -= b2 * texelsInBatchN;
int b = index / texelsInBatch;
index -= b * texelsInBatch;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
return ivec4(b2, b, r, c);
}
`;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[r.length-1]/2),s=o*Math.ceil(r[r.length-2]/2),i=s,a="",u="b, r, c";for(let l=2;l<r.length-1;l++)i*=r[r.length-l-1],a=`
int b${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}(${u});
}
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`}function Mtt(r,t,e){if(e)return`
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ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
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${qc(["r","c","d","d2"],r)}
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return ivec4(r, c, d, d2);
}
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`;let n=si(["r","c","d","d2"],r);return`
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ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
return ivec4(r, c, d, d2);
}
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`}function ztt(r,t){let e=si(["r","c","d","d2","d3"],r);return`
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ivec5 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]},
${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${e}
ivec5 outShape = ivec5(r, c, d, d2, d3);
return outShape;
}
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`}function Btt(r,t){let e=si(["r","c","d","d2","d3","d4"],r);return`
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ivec6 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${e}
ivec6 result = ivec6(r, c, d, d2, d3, d4);
return result;
}
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`}function Vtt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(y.arraysEqual(r,t))return e?`
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ivec2 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1]));
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}
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`:`
ivec2 getOutputCoords() {
return 2 * ivec2(resultUV.yx * vec2(${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, ${o}) * 2;
return ivec2(r, c);
}
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`}function Gtt(r,t,e){return y.arraysEqual(r,t)?e?`
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ivec2 getOutputCoords() {
return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));
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}
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`:`
ivec2 getOutputCoords() {
return ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]}));
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}
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`:r[1]===1?e?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
return ivec2(index, 0);
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}
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`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${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 * ${r[1]};
return ivec2(r, c);
}
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`}function Kc(r){return`offset${r}`}function Wtt(r){let t=r.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),n=He();return`
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vec4 ${e}() {
return ${n.texture2D}(${t}, halfCR);
}
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`}function Utt(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`
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float ${n}() {
return sampleTexture(${e}, halfCR);
2021-03-26 15:26:02 +01:00
}
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`;let i=Kc(e);if(t)return`
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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);
}
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`}function Htt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=r.shapeInfo.texShape,s=He();if(t)return`
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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);
}
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`}function qtt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return`
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float ${n}(int index) {
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${_d(r)}
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}
`;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);
}
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`;let a=Kc(e);return i===1?t?`
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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);
}
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`}function Ktt(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&&y.arraysEqual(e,s))return t?`
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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);
}
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`}function jtt(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&&y.arraysEqual(e,s)){if(t)return`
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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);
}
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`}let{newShape:i,keptDims:a}=y.squeezeShape(e),u=i;if(u.length<e.length){let m=Ed(r,u),f=["row","col"];return`
${kd(m,t)}
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float ${o}(int row, int col) {
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return ${o}(${Ad(f,a)});
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}
`}if(r.shapeInfo.isUniform)return`
float ${o}(int row, int col) {
int index = round(dot(vec2(row, col), vec2(${e[1]}, 1)));
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${_d(r)}
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}
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`;let l=s[0],c=s[1],p=Kc(n);return c===1?t?`
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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);
}
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`}function Xtt(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=Ed(r,m),h=["b","row","col"];return`
${mL(d,t)}
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vec4 ${o}(int b, int row, int col) {
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return ${o}(${Ad(h,f)});
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}
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`}let a=He();if(t)return`
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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);
}
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`}function Ytt(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}=y.squeezeShape(e),l=a;if(l.length<e.length){let h=Ed(r,l),g=["row","col","depth"];return`
${kd(h,t)}
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float ${o}(int row, int col, int depth) {
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return ${o}(${Ad(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}, ${i}, 1)));
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${_d(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);
}
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`;let d=Kc(n);return t?`
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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);
}
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`}function Ztt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=He();if(t)return`
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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);
}
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`}function Jtt(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}=y.squeezeShape(e);if(u.length<e.length){let b=Ed(r,u),w=["row","col","depth","depth2"];return`
${kd(b,t)}
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float ${o}(int row, int col, int depth, int depth2) {
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return ${o}(${Ad(w,l)});
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}
`}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}, ${s}, 1)));
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${_d(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 x=Kc(n);return t?`
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float ${o}(int row, int col, int depth, int depth2) {
// Explicitly use integer operations as dot() only works on floats.
${d}
${h}
${g}
int index = row * stride0 + col * stride1 +
depth * stride2 + depth2;
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vec2 uv = uvFromFlat(${n}TexShape[0], ${n}TexShape[1], index + ${x});
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return sampleTexture(${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 * ${s} + depth2;
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vec2 uv = uvFromFlat(${m}, ${f}, index + ${x});
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return sampleTexture(${n}, uv);
}
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`}function Qtt(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}=y.squeezeShape(t);if(u.length<t.length){let h=Ed(r,u),g=["row","col","depth","depth2","depth3"];return`
${kd(h)}
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float ${n}(int row, int col, int depth, int depth2, int depth3) {
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return ${n}(${Ad(g,l)});
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}
`}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}, ${o})) +
depth3;
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${_d(r)}
2021-12-06 12:34:50 +01:00
}
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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=Kc(e);return`
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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);
}
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`}function tet(r){let t=r.shapeInfo.logicalShape,e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),{newShape:o,keptDims:s}=y.squeezeShape(t);if(o.length<t.length){let g=Ed(r,o),x=["row","col","depth","depth2","depth3","depth4"];return`
${kd(g)}
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float ${n}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
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return ${n}(${Ad(x,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)));
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${_d(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=Kc(e);return`
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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);
}
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`}function _d(r){let t=r.name,e=y.sizeFromShape(r.shapeInfo.logicalShape);return e<2?`return ${t};`:`
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for (int i = 0; i < ${e}; i++) {
if (i == index) {
return ${t}[i];
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}
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}
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`}function eet(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o="get"+n+"AtOutCoords",s=r.shapeInfo.logicalShape.length,i=t.logicalShape.length,a=cL(r.shapeInfo.logicalShape,t.logicalShape),u=Wt(i),l=i-s,c,p=["x","y","z","w","u","v"];s===0?c="":i<2&&a.length>=1?c="coords = 0;":c=a.map(b=>`coords.${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=y.sizeFromShape(r.shapeInfo.logicalShape)===1,x=y.sizeFromShape(t.logicalShape)===1;if(s===1&&!h&&!x)f=`
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return vec4(outputValue.xy, outputValue.xy);
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`;else if(h&&!x)i===1?f=`
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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}
}
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`}function ret(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&&y.arraysEqual(i,s))return`
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float ${o}() {
return sampleTexture(${e}, resultUV);
}
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`;let l=Wt(u),c=cL(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.${f[h+p]} = 0;`).join(`
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`);let d="";return u<2&&a>0?d="coords":d=r.shapeInfo.logicalShape.map((h,g)=>`coords.${f[g+p]}`).join(", "),`
float ${o}() {
${l} coords = getOutputCoords();
${m}
return get${n}(${d});
}
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`}function Wt(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 ${r} is not yet supported`)}function Mw(r,t,e){let{newShape:n,keptDims:o}=y.squeezeShape(t),s=t.length,i=r&&s===3&&t[0]===1,a=i?t.slice(1):n,u=!r&&s>1&&!y.arraysEqual(t,e)&&n.length<s||i;return{useSqueezeShape:u,uniformShape:u?a:t,keptDims:o}}function Ed(r,t){let e=JSON.parse(JSON.stringify(r));return e.shapeInfo.logicalShape=t,e}function Ad(r,t){return t.map(e=>r[e]).join(", ")}function hL(r,t,e,n){let o=e.map((c,p)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:t.variableNames[p],shapeInfo:m}}),s=o.map(c=>c.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},a=pL(o,i,t),u=PN(r.gl,a),l=r.createProgram(u);return B().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i},tk(r,t,l))}function tk(r,t,e){let n={},o={},s={},i=[],a,u,l,c=null,p=null;p=r.getUniformLocation(e,"NAN",!1),B().getNumber("WEBGL_VERSION")===1&&(c=r.getUniformLocation(e,"INFINITY",!1));let m=!1;for(let f=0;f<t.variableNames.length;f++){let d=t.variableNames[f];n[d]=r.getUniformLocation(e,d,m),n[`offset${d}`]=r.getUniformLocation(e,`offset${d}`,m),t.enableShapeUniforms&&(o[`${d}Shape`]=r.getUniformLocation(e,`${d}Shape`,m),s[`${d}TexShape`]=r.getUniformLocation(e,`${d}TexShape`,m))}return t.enableShapeUniforms&&(a=r.getUniformLocation(e,"outShape",m),l=r.getUniformLocation(e,"outShapeStrides",m),u=r.getUniformLocation(e,"outTexShape",m)),t.customUniforms&&t.customUniforms.forEach((f,d)=>{i[d]=r.getUniformLocation(e,f.name,m)}),{uniformLocations:n,customUniformLocations:i,infLoc:c,nanLoc:p,inShapesLocations:o,inTexShapesLocations:s,outShapeLocation:a,outShapeStridesLocation:l,outTexShapeLocation:u}}function dL(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(!y.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(!y.arraysEqual(a,u))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${a} and ${u} must match`)})}function gL(r,t,e,n,o){t.program.enableShapeUniforms||(dL(t.inShapeInfos,e),dL([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):r.setOutputMatrixTexture(s.texture,i[0],i[1]),r.setProgram(t.webGLProgram),B().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&r.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&r.gl.uniform1f(t.nanLoc,NaN),e.forEach((u,l)=>{let c=t.program.variableNames[l],p=t.uniformLocations[c],m=t.uniformLocations[`offset${c}`],f=t.inShapesLocations[`${c}Shape`],d=t.inTexShapesLocations[`${c}TexShape`];if(f){let{uniformShape:h}=Mw(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(y.sizeFromShape(u.shape)<2)r.gl.uniform1f(p,u.uniformValues[0]);else{let h=u.uniformValu
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ivec3 outCoordsFromFlatIndex(int index) {
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${this.enableShapeUniforms?qc(["r","c","d"],t):si(["r","c","d"],t)}
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return ivec3(r, c, d);
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}
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void main() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));
int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getA(rc.x, rc.y, rc.z);
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}
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${e.output} = result;
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}
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`}};var Bw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ku.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let e=He();this.outputShape=t,this.enableShapeUniforms=ve(this.outputShape.length),this.userCode=`
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ivec3 outCoordsFromFlatIndex(int index) {
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${this.enableShapeUniforms?qc(["r","c","d"],t):si(["r","c","d"],t)}
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return ivec3(r, c, d);
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}
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void main() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));
int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));
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}
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${e.output} = result;
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}
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`}};var Vw=class{constructor(t){this.variableNames=["A"],this.outTexUsage=Hr.DOWNLOAD;let e=He();this.outputShape=t,this.userCode=`
${Lw}
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void main() {
float x = getAAtOutCoords();
${e.output} = encode_float(x);
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}
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`}};var Gw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Hr.DOWNLOAD;let e=He();this.outputShape=t,this.userCode=`
${Lw}
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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 Ww=class{constructor(t,e=!1){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=He();this.outputShape=t,this.enableShapeUniforms=ve(this.outputShape.length);let o="result";e&&(o="floor(result * 255. + 0.5)"),this.userCode=`
${this.enableShapeUniforms?Td():Sd(t)}
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void main() {
ivec3 coords = getOutputCoords();
int flatIndex = getFlatIndex(coords);
int offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
int r = flatIndex / texShape[1];
int c = imod(flatIndex, texShape[1]);
vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);
vec4 values = ${n.texture2D}(A, uv);
float result;
if(offset == 0) {
result = values[0];
} else if(offset == 1) {
result = values[1];
} else if(offset == 2) {
result = values[2];
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} else {
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result = values[3];
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}
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${n.output} = vec4(${o}, 0., 0., 0.);
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}
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`}};var Uw=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=ve(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+=`
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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[${u}] = values[3];
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}
}
}
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`}this.userCode=`
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${this.enableShapeUniforms?Td():Sd(t)}
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void main() {
ivec3 coords = getOutputCoords();
vec4 result = vec4(0.);
int flatIndex, r, c, offset;
ivec3 localCoords;
vec2 uv;
vec4 values;
${o}
${n.output} = ${s};
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}
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`}};var xk={};jt(xk,{bindVertexProgramAttributeStreams:()=>uk,createBufferFromOutputTexture:()=>mk,createFloat16MatrixTexture:()=>sk,createFloat16PackedMatrixTexture:()=>lk,createFloat32MatrixTexture:()=>ok,createIndexBuffer:()=>nk,createPackedMatrixTexture:()=>ak,createUnsignedBytesMatrixTexture:()=>ik,createVertexBuffer:()=>rk,createVertexShader:()=>ek,downloadByteEncodedFloatMatrixFromOutputTexture:()=>dk,downloadFloat32MatrixFromBuffer:()=>fk,downloadMatrixFromPackedOutputTexture:()=>gk,downloadPackedMatrixFromBuffer:()=>hk,getInternalFormatForFloat16MatrixTexture:()=>qw,getInternalFormatForFloat16PackedMatrixTexture:()=>Xw,getInternalFormatForFloat32MatrixTexture:()=>Hw,getInternalFormatForPackedMatrixTexture:()=>jw,getInternalFormatForUnsignedBytesMatrixTexture:()=>Kw,uploadDenseMatrixToTexture:()=>ck,uploadPixelDataToTexture:()=>pk});function ek(r){let t=He(),e=`${t.version}
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precision highp float;
${t.attribute} vec3 clipSpacePos;
${t.attribute} vec2 uv;
${t.varyingVs} vec2 resultUV;
void main() {
gl_Position = vec4(clipSpacePos, 1);
resultUV = uv;
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}`;return ON(r,e)}function rk(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 zN(r,t)}function nk(r){let t=new Uint16Array([0,1,2,2,1,3]);return BN(r,t)}function lg(r,t,e,n,o,s){GN(t,e);let i=VN(r),a=r.TEXTURE_2D;return Ct(r,()=>r.bindTexture(a,i)),Ct(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),Ct(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),Ct(r,()=>r.texParameteri(a,r.TEXTURE_MIN_FILTER,r.NEAREST)),Ct(r,()=>r.texParameteri(a,r.TEXTURE_MAG_FILTER,r.NEAREST)),B().getNumber("WEBGL_VERSION")===1?Ct(r,()=>r.texImage2D(a,0,n,t,e,0,o,s,null)):Ct(r,()=>r.texStorage2D(a,1,n,t,e)),Ct(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function Hw(r){return r.internalFormatFloat}function ok(r,t,e,n){let[o,s]=Hc(t,e);return lg(r,o,s,Hw(n),n.textureFormatFloat,r.FLOAT)}function qw(r){return r.internalFormatHalfFloat}function sk(r,t,e,n){let[o,s]=Hc(t,e);return lg(r,o,s,qw(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function Kw(r){return r.downloadTextureFormat}function ik(r,t,e,n){let[o,s]=Hc(t,e);return lg(r,o,s,Kw(n),r.RGBA,r.UNSIGNED_BYTE)}function jw(r){return r.internalFormatPackedFloat}function ak(r,t,e,n){let[o,s]=ea(t,e);return lg(r,o,s,jw(n),r.RGBA,r.FLOAT)}function Xw(r){return r.internalFormatPackedHalfFloat}function lk(r,t,e,n){let[o,s]=ea(t,e);return lg(r,o,s,Xw(n),r.RGBA,n.textureTypeHalfFloat)}function uk(r,t,e){return Ct(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),Fw(r,t,"clipSpacePos",e,3,20,0)&&Fw(r,t,"uv",e,2,20,12)}function ck(r,t,e,n,o,s){Ct(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),B().getNumber("WEBGL_VERSION")===2?Ct(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e,n,r.RGBA,a,i)):Ct(r,()=>r.texImage2D(r.TEXTURE_2D,0,u,e,n,0,r.RGBA,a,i)),Ct(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function pk(r,t,e){Ct(r,()=>r.bindTexture(r.TEXTURE_2D,t)),e.data instanceof Uint8Array?B().getNumber("WEBGL_VERSION")===2?Ct(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e.width,e.height,r.RGBA,r.UNSIGNED_BYTE,e.data)):Ct(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,e.width,e.height,0,r.RGBA,r.UNSIGNED_BYTE,e.data)):B().getNumber("WEBGL_VERSION")===2?Ct(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,e)):Ct(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),Ct(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function mk(r,t,e,n){let o=r.createBuffer();Ct(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let a=4*4*t*e;return Ct(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,a,r.STREAM_READ)),Ct(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,0)),Ct(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function fk(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 dk(r,t,e,n){let[o,s]=Hc(t,e),i=4,a=new Uint8Array(nL(t*e,i));return Ct(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function hk(r,t,e,n,o,s,i,a){let u=r,l=new Float32Array(oL(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 gk(r,t,e){let n=new Float32Array(t*e*4);return Ct(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,n)),n}var jc=class{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let e=B().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,$N(e,t)):this.gl=Gn(e);let n="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),B().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",i="OES_texture_half_float";if(this.textureFloatExtension=Cd(this.gl,s),Wn(this.gl,i))this.textureHalfFloatExtension=Cd(this.gl,i);else if(B().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environm
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void main() {
setOutput(vec4(getA(), 0., 0., 0.));
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}
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`;else{let e=tr("rc",this.rank),n=Wt(this.rank),o=this.getOutOfBoundsCondition(e),s=this.getSetup(e),i=this.getOutput(e);this.userCode=`
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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]}),
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rEdge || cEdge ? 0. : getA(${e[3]})`}};var $d=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=ve(this.outputShape.length);let n="";for(let o=0;o<4;o++){let s="thisRC = rc;";o%2===1&&(s+="thisRC.z += 1;"),o>1&&(s+="thisRC.y += 1;"),n+=`
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${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);
${o>0?"}":""}
`}this.userCode=`
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${iet(e,this.enableShapeUniforms)}
${this.enableShapeUniforms?Td():Sd(t)}
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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]};
${n}
setOutput(result);
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}
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`}};function iet(r,t){return`
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ivec3 inputCoordsFromReshapedOutCoords(int index) {
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${t?uL(["r","c","d"],"inputShape"):si(["r","c","d"],r)}
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return ivec3(r, c, d);
}
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`}var tC=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=aM(e,n),s=lM(t,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let i=iM(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===Fr.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Fr.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Fr.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Fr.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Fr.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=aM(n,o),i=lM(e,s,o);i in this.freeTextures||(this.freeTextures[i]=[]);let a=iM(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),u=B().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 aet(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 iM(r,t,e,n,o){let s=uet(t,n),i;if(o){let[u,l]=ea(r[0],r[1]);i=u*l}else{let[u,l]=Hc(r[0],r[1]);i=u*l}let a=aet(e,s);return i*a}function uet(r,t){switch(r){case Fr.PACKED_2X2_FLOAT32:return jw(t);case Fr.PACKED_2X2_FLOAT16:return Xw(t);case Fr.UNPACKED_FLOAT32:return Hw(t);case Fr.UNPACKED_FLOAT16:return qw(t);case Fr.PACKED_4X1_UNSIGNED_BYTE:return Kw(t);default:throw new Error(`Unknown physical texture type ${r}`)}}function cet(r){return B().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?r?Fr.PACKED_2X2_FLOAT32:Fr.UNPACKED_FLOAT32:r?Fr.PACKED_2X2_FLOAT16:Fr.UNPACKED_FLOAT16}function aM(r,t){if(r===Hr.UPLOAD)return Fr.PACKED_2X2_FLOAT32;if(r===Hr.RENDER||r==null)return cet(t);if(r===Hr.DOWNLOAD||r===Hr.PIXELS)return Fr.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${r}`)}function lM(r,t,e){return`${r[0]}_${r[1]}_${t}_${e}`}var Zr=class{constructor(t,e){this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=ve(this.outputShape.length),this.userCode=`
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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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`}},fr="if (isnan(x)) return x;",uM="return x;",bk="return abs(x);";var cM="return (x >= 0.0) ? x : (exp(x) - 1.0);",pM=fr+`
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return (x < 0.0) ? 0.0 : x;
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`,mM=fr+`
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return (x < 0.0) ? 0.0 : min(6.0, x);
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`,Yc="return x;",fM="return 1.0 / (1.0 + exp(-1.0 * x));";var hM="return x;",gM=`
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vec4 result;
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result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
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return result;
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`,xM=`
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vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
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result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
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return result;
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`,yM=`
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vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
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result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
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return result;
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`,bM="return 1.0 / (1.0 + exp(-1.0 * x));",ro=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=ve(this.outputShape.length),this.userCode=`
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vec4 unaryOperation(vec4 x) {
${e}
}
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void main() {
vec4 x = getAAtOutCoords();
vec4 y = unaryOperation(x);
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setOutput(y);
}
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`}};var eC=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=ve(this.outputShape.length);let e=t.length,n=tr("rc",e),o=Wt(e),s=sM(e,n),i=n.slice(-2),a=e<=1?"rc":`vec2(${i.join(",")})`;this.userCode=`
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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 met=Vr.whereImpl,fet=1e-7,det=1e-4,rC={};function het(r){return r in rC||(rC[r]={}),rC[r]}var get=B().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),xet=600;function yet(){return B().global.screen==null?1024:B().global.screen.height*B().global.screen.width*window.devicePixelRatio*xet/1024/1024}var Eu=class extends Ho{constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!B().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let e;if(t!=null){if(t instanceof jc)e=t;else{let n=Gn(B().getNumber("WEBGL_VERSION"),t);e=new jc(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Gn(B().getNumber("WEBGL_VERSION"));e=new jc(n),this.binaryCache=het(B().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new tC(this.gpgpu),this.numMBBeforeWarning=yet(),this.texData=new ra(this,go())}nextDataId(){return Eu.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(t,e,n){if((B().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||B().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:Hr.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(B().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:Hr.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 ro(a,Yc):m=new Zr(a,Yc);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=y.now());let p;if(o==="complex64"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=S.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=y.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 ro(o,Yc):d=new Zr(o,Yc);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(B().getBool("DEBUG")&&!B().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&B().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"&&B().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(t);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture.texture,...ng(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=S.mergeRealAndImagArrays(h,g)}else if(l==null)p=this.getValuesFromTexture(t);else{let d=y.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}if(c!=null&&this.disposeIntermediateTensorInfo(c),l!=null){let d=this.gpgpu.gl;Ct(d,()=>d.deleteBuffer(l))}let m=this.convertAndCacheOnCPU(t,p),f=this.pendingRead.get(t);return this.pendingRead.delete(t
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if (isnan(a)) return a;
if (isnan(b)) return b;
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`;var no=class{constructor(t,e,n){this.variableNames=["A","B"],this.outputShape=S.assertAndGetBroadcastShape(e,n),this.enableShapeUniforms=ve(this.outputShape.length),this.userCode=`
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float binaryOperation(float a, float b) {
${t}
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}
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void main() {
float a = getAAtOutCoords();
float b = getBAtOutCoords();
setOutput(binaryOperation(a, b));
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}
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`}};var Au=`
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result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
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`;var Fo=class{constructor(t,e,n,o=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=S.assertAndGetBroadcastShape(e,n);let s=this.outputShape.length;this.enableShapeUniforms=ve(s);let i="";if(o)if(s===0||y.sizeFromShape(this.outputShape)===1)i=`
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result.y = 0.;
result.z = 0.;
result.w = 0.;
`;else if(i=`
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${Wt(s)} coords = getOutputCoords();
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`,s===1)this.enableShapeUniforms?i+=`
result.y = (coords + 1) >= outShape ? 0. : result.y;
result.z = 0.;
result.w = 0.;
`:i+=`
result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;
result.z = 0.;
result.w = 0.;
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`;else{let u=tr("coords",s);this.enableShapeUniforms?i+=`
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bool nextRowOutOfBounds =
(${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 vM={kernelName:uo,backendName:"webgl",kernelFunc:er};function An(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 IM={kernelName:Np,backendName:"webgl",kernelFunc:An};var wk="return (a < 0.) ? b * a : a;",Ck=`
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vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
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`;function wet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n,i=e.makeTensorInfo([],"float32",y.createScalarValue(s,"float32")),a=B().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Fo(Ck,o.shape,i.shape):new no(wk,o.shape,i.shape),u=e.runWebGLProgram(a,[o,i],"float32");return e.disposeIntermediateTensorInfo(i),u}var SM={kernelName:ms,backendName:"webgl",kernelFunc:wet};var vk="return (a < 0.) ? b * a : a;",Ik=`
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vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
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`;function Cet(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=B().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Fo(Ik,n.shape,o.shape):new no(vk,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],"float32")}var TM={kernelName:Ts,backendName:"webgl",kernelFunc:Cet};var Oo="if (isnan(x)) return x;",NM=`
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if (isnan(a)) return a;
if (isnan(b)) return b;
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`,kM=`
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result.r = isNaN.r > 0. ? NAN : result.r;
result.g = isNaN.g > 0. ? NAN : result.g;
result.b = isNaN.b > 0. ? NAN : result.b;
result.a = isNaN.a > 0. ? NAN : result.a;
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`;function It({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=B().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,c;return l?c=new ro(i.shape,t):c=new Zr(i.shape,r),a.runWebGLProgram(c,[i],u)}}function ce({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,x]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[C,T]=w,E={dataId:C.dataId,dtype:C.dtype,shape:u.shape},$={dataId:T.dataId,dtype:T.dtype,shape:l.shape},D=new no(r,u.shape,l.shape);return c.runWebGLProgram(D,[E,$],ir(C.dtype,T.dtype))}),b=An({inputs:{real:g,imag:x},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(x),b}let p=s||ir(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"?S.fromUint8ToStringArray(d):d,x=u.dtype==="string"?S.fromUint8ToStringArray(h):h,[b,w]=o(u.shape,l.shape,g,x,p),C=c.makeTensorInfo(w,p),T=c.texData.get(C.dataId);return T.values=b,C}let m=B().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,f;return m?f=new Fo(t,u.shape,l.shape,e):f=new no(r,u.shape,l.shape),c.runWebGLProgram(f,[u,l],p)}}function yl(r,t=!1){if(r==="linear")return t?hM:uM;if(r==="relu")return t?xM:pM;if(r==="elu")return t?gM:cM;if(r==="relu6")return t?yM:mM;if(r==="prelu")return t?Ik:vk;if(r==="leakyrelu")return t?Ck:wk;if(r==="sigmoid")return t?bM:fM;throw new Error(`Activation ${r} has not been implemented for the WebGL backend.`)}var Dd=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=ve(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="",x="";a&&(u?g=`vec4 activation(vec4 a) {
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vec4 b = getPreluActivationWeightsAtOutCoords();
${a}
}`:l?g=`vec4 activation(vec4 a) {
vec4 b = getLeakyreluAlphaAtOutCoords();
${a}
}`:g=`vec4 activation(vec4 x) {
${a}
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}`,x="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",C="rc.x";t[0]<e[0]?w=`int(min(float(rc.x), ${t[0]-1}.))`:e[0]<t[0]&&(C=`int(min(float(rc.x), ${e[0]-1}.))`),this.userCode=`
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${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};
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int batchB = ${C};
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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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${x}
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setOutput(result);
}
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`}};var Sk={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},ug=class{constructor(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=S.assertAndGetBroadcastShape(e,n),this.userCode=`
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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));
}
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`}};var _M="return a * b;";function cg(r){let{inputs:t,backend:e}=r,{a:n,b:o}=t,s=S.upcastType(n.dtype,o.dtype);if(n.dtype==="complex64"){let a=e.texData.get(n.dataId),u=e.texData.get(o.dataId),l=new ug(Sk.REAL,n.shape,o.shape),c=new ug(Sk.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=An({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]=ML(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 B().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new Fo(_M,n.shape,o.shape):i=new no(_M,n.shape,o.shape),e.runWebGLProgram(i,[n,o],s)}var EM={kernelName:Cs,backendName:"webgl",kernelFunc:cg};function AM(r,t,e){let n=[gl(r.shape),...xl(r.shape)],o={dtype:r.dtype,shape:n,dataId:r.dataId},s=[gl(t),...xl(t)],i=new $d(s,n),a=!0,u=[n],l=e.runWebGLProgram(i,[o],r.dtype,u,a);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function lt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=e,a=y.sizeFromShape(o.shape),u=y.inferFromImplicitShape(s,a),l=y.sizeFromShape(u);y.assert(a===l,()=>`The new shape (${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&&!_u(o.shape,u)&&!(c.texture!==null&&_u(c.shape,u))?AM(o,u,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:u,dtype:o.dtype})}var $M={kernelName:bi,backendName:"webgl",kernelFunc:lt};var pg=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 * ${y.isInt(p)?p.toPrecision(2):p}, ones);`}let c="";s%n>0&&(c=`
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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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${l}
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}
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setOutput(sumValue);
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}
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`}};var oC=class{constructor(t,e){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a="0.0",u="";e==="prod"?a="1.0":e==="min"?(a="1.0 / 1e-20",u="min"):e==="max"&&(a="-1.0 / 1e-20",u="max");let l=`${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=`
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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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`}};function Iet(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=S.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:n,outSize:Math.ceil(e/n)})}return t}function Un(r,t,e,n){let o=Iet(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 pg({windowSize:u,inSize:a,batchSize:r.shape[0],outSize:l},a):new pg({windowSize:u,inSize:a,batchSize:r.shape[0],outSize:l}):c=new oC({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 sC=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=Wt(this.rank),s=Tet(e);this.userCode=`
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void main() {
${o} resRC = getOutputCoords();
setOutput(getA(${s}));
}
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`}};function Tet(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 iC=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 ${this.rank} is not yet supported.`);let o=Wt(this.rank),s=yk("rc",this.rank),i=new Array(this.rank);for(let c=0;c<e.length;c++)i[e[c]]=s[c];let a=`vec2(${i.slice(-2).join()})`,u=`++${s[this.rank-1]} < ${n[this.rank-1]}`,l=`getChannel(getA(${i.join()}), ${a})`;this.userCode=`
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void main() {
${o} rc = getOutputCoords();
vec4 result = vec4(0.);
result[0] = ${l};
if(${u}) {
result[1] = ${l};
}
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--${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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`}};function $u(r,t,e){let n=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new iC(r.shape,t):new sC(r.shape,t);return e.runWebGLProgram(n,[r],r.dtype)}function DM(r,t,e,n){let o=t,s=r.shape.length,i=y.parseAxisParam(o,r.shape),a=i,u=S.getAxesPermutation(a,s),l=u!=null,c=r;l&&(c=$u(r,u,n),a=S.getInnerMostAxes(a.length,s)),S.assertAxesAreInnerMostDims("sum",a,s);let[p,m]=S.computeOutAndReduceShapes(c.shape,a),f=p;e&&(f=S.expandShapeToKeepDim(p,i));let d=y.sizeFromShape(m),g=y.sizeFromShape(r.shape)/d,x=lt({inputs:{x:c},attrs:{shape:[g,d]},backend:n}),b=Xu(r.dtype),w=Un(x,b,"sum",n),C=lt({inputs:{x:w},attrs:{shape:f},backend:n});return n.disposeIntermediateTensorInfo(x),n.disposeIntermediateTensorInfo(w),l&&n.disposeIntermediateTensorInfo(c),C}function Zc(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;return DM(o,s,i,e)}var RM={kernelName:Ls,backendName:"webgl",kernelFunc:Zc};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=Xc(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=$u(o,s,i);return l}var FM={kernelName:Yn,backendName:"webgl",kernelFunc:Le};var Tk=1e3;function Jc({a:r,b:t,transposeA:e,transposeB:n,backend:o,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:a=0,activation:u=null}){let l=r.shape.length,c=t.shape.length,p=e?r.shape[l-2]:r.shape[l-1],m=n?t.shape[c-1]:t.shape[c-2],f=e?r.shape[l-1]:r.shape[l-2],d=n?t.shape[c-2]:t.shape[c-1],h=r.shape.slice(0,-2),g=t.shape.slice(0,-2),x=y.sizeFromShape(h),b=y.sizeFromShape(g),C=Lr.assertAndGetBroadcastShape(r.shape.slice(0,-2),t.shape.slice(0,-2)).concat([f,d]);y.assert(p===m,()=>`Error in matMul: inner shapes (${p}) and (${m}) of Tensors with shapes ${r.shape} and ${t.shape} and transposeA=${e} and transposeB=${n} must match.`);let T=e?[x,p,f]:[x,f,p],E=n?[b,d,m]:[b,m,d],$=lt({inputs:{x:r},backend:o,attrs:{shape:T}}),D=lt({inputs:{x:t},backend:o,attrs:{shape:E}}),P=[$,D],M=Math.max(x,b),W=e?$.shape[1]:$.shape[2],H=s!=null,q=i!=null,X=u==="leakyrelu",j=u!=null?yl(u,!0):null,Z=H||q||X||j!=null,et;if((f===1||d===1)&&W>Tk&&Z===!1){let ot=$,st=D;e&&(ot=Le({inputs:{x:$},backend:o,attrs:{perm:[0,2,1]}}),P.push(ot)),n&&(st=Le({inputs:{x:D},backend:o,attrs:{perm:[0,2,1]}}),P.push(st));let it=d!==1,pt=d===1,at=ot;it&&(at=lt({inputs:{x:ot},backend:o,attrs:{shape:[M,W,1]}}),P.push(at));let gt=d===1?2:1,dt=st;pt&&(dt=lt({inputs:{x:st},backend:o,attrs:{shape:[M,1,W]}}),P.push(dt));let bt=cg({inputs:{a:at,b:dt},backend:o});et=Zc({inputs:{x:bt},backend:o,attrs:{axis:gt,keepDims:!0}}),P.push(bt)}else{let ot=ir(r.dtype,t.dtype),st=new Dd(T,E,[M,f,d],e,n,H,j,q,X),it=[$,D];if(s!=null&&it.push(s),q&&it.push(i),X){let pt=o.makeTensorInfo([],"float32",y.createScalarValue(a,"float32"));it.push(pt),P.push(pt)}et=o.runWebGLProgram(st,it,ot)}let K=lt({inputs:{x:et},backend:o,attrs:{shape:C}});P.push(et);for(let ot of P)o.disposeIntermediateTensorInfo(ot);return K}function Net(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 Jc({a:o,b:s,transposeA:u,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:p,activation:c})}var OM={kernelName:Ni,backendName:"webgl",kernelFunc:Net};var PM="return abs(x);";function ket(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=Zw(s.values);return e.makeTensorInfo(n.shape,n.dtype,i)}let o;return B().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new ro(n.shape,PM):o=new Zr(n.shape,PM),e.runWebGLProgram(o,[n],n.dtype)}var LM={kernelName:pi,backendName:"webgl",kernelFunc:ket};var _et=fr+`
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if (abs(x) > 1.) {
return NAN;
}
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return acos(x);
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`,Eet=It({opSnippet:_et}),MM={kernelName:oa,backendName:"webgl",kernelFunc:Eet};var Aet=fr+`
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if (x < 1.0) return NAN;
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return log(x + sqrt(x * x - 1.0));`,$et=It({opSnippet:Aet}),zM={kernelName:sa,backendName:"webgl",kernelFunc:$et};var BM="return a + b;",Det=ce({opSnippet:BM,packedOpSnippet:BM,supportsComplex:!0,cpuKernelImpl:yL}),VM={kernelName:jn,backendName:"webgl",kernelFunc:Det};var aC=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=`
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void main() {
${n.join(`
`)}
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float result = ${o};
setOutput(result);
}
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`}};var lC=class{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((s,i)=>`T${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=`
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void main() {
${n.join(`
`)}
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vec4 result = ${o};
setOutput(result);
}
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`}};function uC(r){let{inputs:t,backend:e}=r,n=t;if(n.length===1)return er({inputs:{x:n[0]},backend:e});if(n.length>B().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let u=Math.floor(n.length/2),l=uC({inputs:n.slice(0,u),backend:e}),c=uC({inputs:n.slice(u),backend:e});return uC({inputs:[l,c],backend:e})}let o=n.map(u=>u.dtype).reduce((u,l)=>ir(u,l)),s=n.map(u=>u.shape),a=B().getBool("WEBGL_PACK")?new lC(n[0].shape,s):new aC(n[0].shape,s);return e.runWebGLProgram(a,n,o)}var GM={kernelName:jo,backendName:"webgl",kernelFunc:uC};function Ret(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Le({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims("all",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=lt({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,"all",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=lt({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=lt({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var WM={kernelName:ia,backendName:"webgl",kernelFunc:Ret};function Fet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Le({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims("any",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=lt({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,"any",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=lt({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=lt({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var UM={kernelName:aa,backendName:"webgl",kernelFunc:Fet};var cC=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=`
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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 ${a} bestValue) {
bestValue = candidate;
bestIndex = inIdx;
}
}
setOutput(float(bestIndex));
}
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`}};var pC=class{constructor(t,e,n,o){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,y.assert(t.length>2,()=>`Packed arg${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=Wt(u),c=tr("coords",u),p,m;if(i===1){m=u+1;let D=Wt(m);p=`
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${D} sourceLocR = ${D}(${c.join()}, 0);
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++${c[u-1]};
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${D} sourceLocG = ${D}(${c.join()}, 0);
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++${c[u-2]};
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${D} sourceLocA = ${D}(${c.join()}, 0);
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--${c[u-1]};
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${D} sourceLocB = ${D}(${c.join()}, 0);
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--${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]};
${l} sourceLocB = coords;
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--${c[u-2]};`;let f=["x","y","z","w","u","v"].slice(0,m),d="."+f[m-1],h=f.map(D=>"int "+D),g=tr("sourceLocR",m-1).concat("inIdx.r"),x=tr("sourceLocG",m-1).concat("inIdx.g"),b=tr("sourceLocB",m-1).concat("inIdx.b"),w=tr("sourceLocA",m-1).concat("inIdx.a"),C=n==="max"?"greaterThan":"lessThan",T=o?"":`
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inIdx = round(vec4(getBestIndicesAChannel(${g.join()}),
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getBestIndicesAChannel(${x.join()}),
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getBestIndicesAChannel(${b.join()}),
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getBestIndicesAChannel(${w.join()})));`,E=`vec4(
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getAChannel(${g.join()}),
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hasNextCol ? getAChannel(${x.join()}) : 0.,
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hasNextRow ? getAChannel(${b.join()}) : 0.,
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hasNextRow && hasNextCol ? getAChannel(${w.join()}) : 0.)`,$=o?"":`
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float getBestIndicesAChannel(${h.join()}) {
return getChannel(getBestIndicesA(${f.join()}),
vec2(${f.slice(-2).join()}));
}`;this.userCode=`
float getAChannel(${h.join()}) {
return getChannel(getA(${f.join()}),
vec2(${f.slice(-2).join()}));
}
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${$}
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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);
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vec4 bestValue = ${E};
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for (int i = 0; i < ${e}; i++) {
inIdx = srcIdx;
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${T}
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vec4 candidate = ${E};
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bvec4 nan = isnan(candidate);
bvec4 replace = bvec4(
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vec4(${C}(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 HM(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=S.computeOptimalWindowSize(s),a={windowSize:i,inSize:s,batchSize:o,outSize:Math.ceil(s/i)},u=new cC(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=HM(r,t,e,c);return r.disposeIntermediateTensorInfo(c),p}function qM(r,t,e,n=null){let o=n!=null?n.shape:t.shape,s=o[o.length-1],i=S.computeOptimalWindowSize(s),a=new pC(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=qM(r,t,e,l);return r.disposeIntermediateTensorInfo(l),c}return l}function mC(r,t,e,n){let o=[e];if(S.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),o,t.shape.length),!B().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]=S.computeOutAndReduceShapes(u.shape,o),p=y.sizeFromShape(c),m=lt({inputs:{x:u},backend:r,attrs:{shape:[-1,p]}});s.push(m);let f=HM(r,m,n);s.push(f);let d=lt({inputs:{x:f},backend:r,attrs:{shape:l}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),d}return qM(r,t,n)}function Oet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Le({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims("argMax",[i[0]],u.shape.length);let c=mC(e,u,i[0],"max");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var KM={kernelName:Xo,backendName:"webgl",kernelFunc:Oet};function Pet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=y.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Le({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims("argMin",[i[0]],u.shape.length);let c=mC(e,u,i[0],"min");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var jM={kernelName:Nl,backendName:"webgl",kernelFunc:Pet};var Let=fr+`
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if (abs(x) > 1.) {
return NAN;
}
return asin(x);
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`,Met=It({opSnippet:Let}),XM={kernelName:la,backendName:"webgl",kernelFunc:Met};var zet=fr+"return log(x + sqrt(x * x + 1.0));",Bet=It({opSnippet:zet}),YM={kernelName:ua,backendName:"webgl",kernelFunc:Bet};var Vet=fr+`
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return atan(x);
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`,Get=It({opSnippet:Vet}),ZM={kernelName:ca,backendName:"webgl",kernelFunc:Get};var Wet=NM+`
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return atan(a, b);
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`,Uet=`
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vec4 result = atan(a, b);
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+kM+`
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return result;
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`,Het=ce({opSnippet:Wet,packedOpSnippet:Uet}),JM={kernelName:ma,backendName:"webgl",kernelFunc:Het};var qet=fr+`
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if ((x < -1.0) || (x > 1.0)) return NAN;
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return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,Ket=It({opSnippet:qet}),QM={kernelName:pa,backendName:"webgl",kernelFunc:Ket};var ii=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`,x=`(xR * ${t.inWidth} + xC) * ${t.inChannels} + d`,b="0.0";if(h||(b="-1.0 / 1e-20"),n){let D=">=";this.userCode=`
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const ivec2 strides = ivec2(${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);
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if (value ${D} currMinMaxValue) {
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minMaxValue = value;
minMaxValueFound = 1.0;
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minMaxPosition = ${o?s?g:x:`wR * ${m} + wC`};
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}
}
}
setOutput(float(minMaxPosition));
}
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`;return}let w="max",C=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e==="avg"&&(C="avgValue / count");let T=Math.floor(i/4)*4,E=i%4,$=`
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if (${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 < ${T}; wC += 4) {
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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 * ${c}, d)
);
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${$}
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}
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int xC = xCCorner + ${T};
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if (${E===1}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
initializationValue,
initializationValue,
initializationValue
);
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${$}
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} else if (${E===2}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${c}, d),
initializationValue,
initializationValue
);
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${$}
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} else if (${E===3}) {
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vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${c}, d),
getValue(batch, xR, xC + 2 * ${c}, d),
initializationValue
);
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${$}
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}
}
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setOutput(${C});
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}
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`}},Du=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,x=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;let w=e==="avg",C="0.0";if(w||(C="-1.0 / 1e-20"),n){let M=">=";this.userCode=`
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const ivec3 strides =
ivec3(${a}, ${u}, ${l});
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const ivec3 pads = ivec3(${g}, ${x}, ${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);
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if (value ${M} currMinMaxValue) {
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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 * ${h} + wC`};
}
}
}
}
setOutput(float(minMaxPosition));
}
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`;return}let T="max",E=`${e}(${e}(${e}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;e==="avg"&&(E="avgValue / count");let $=Math.floor(i/4)*4,D=i%4,P=`
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if (${w}) {
avgValue += dot(values, ones);
} else {
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minMaxValue = ${T}(values, minMaxValue);
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}
`;this.userCode=`
const ivec3 strides =
ivec3(${a}, ${u}, ${l});
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const ivec3 pads = ivec3(${g}, ${x}, ${b});
const float initializationValue = ${C};
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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 >= ${t.inWidth}) {
return initializationValue;
}
count += 1.0;
return getX(batch, xD, xR, xC, ch);
}
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void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
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ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
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// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
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vec4 minMaxValue = vec4(${C});
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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 < ${$}; wC += 4) {
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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 * ${m}, ch)
);
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${P}
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}
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int xC = xCCorner + ${$};
if (${D===1}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
initializationValue,
initializationValue,
initializationValue
);
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${P}
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} else if (${D===2}) {
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vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + ${m}, ch),
initializationValue,
initializationValue
);
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${P}
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} else if (${D===3}) {
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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 * ${m}, ch),
initializationValue
);
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${P}
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}
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}
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setOutput(${E});
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}
}
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`}};function jet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;oi(o,"avgPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return er({inputs:{x:o},backend:e});let p=new ii(c,"avg",!1);return e.runWebGLProgram(p,[o],"float32")}var tz={kernelName:Yo,backendName:"webgl",kernelFunc:jet};function Xet(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=S.computePool3DInfo(o.shape,s,i,c,a,u,l),m=new Du(p,"avg",!1);return e.runWebGLProgram(m,[o],"float32")}var ez={kernelName:kl,backendName:"webgl",kernelFunc:Xet};var fC=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=`
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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 >= ${t.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
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float dyValue = getDy(b, idyR, idyC, d);
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dotProd += dyValue * avgMultiplier;
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}
}
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setOutput(dotProd);
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}
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`}},dC=class{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterDepth,m=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=p-1-t.padInfo.front,h=m-1-t.padInfo.top,g=f-1-t.padInfo.left,x=1/(e*n*o);this.userCode=`
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const ivec3 pads = ivec3(${d}, ${h}, ${g});
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const float avgMultiplier = float(${x});
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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 Yet(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=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new dC(m);return e.runWebGLProgram(f,[o],i.dtype)}var rz={kernelName:Ip,backendName:"webgl",kernelFunc:Yet};function Zet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;oi([o,s],"avgPoolGrad");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=new fC(c);return e.runWebGLProgram(p,[o],i.dtype)}var nz={kernelName:vp,backendName:"webgl",kernelFunc:Zet};function Jet(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;return Jc({a:o,b:s,transposeA:i,transposeB:a,backend:e})}var oz={kernelName:Zo,backendName:"webgl",kernelFunc:Jet};var hC=class{constructor(t,e,n,o,s,i){this.outputShape=[],this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a="0.0";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="1.0";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
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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 gC=class{constructor(t,e,n,o,s,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a="vec4(0.0)";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="vec4(1.0)";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
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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);
}
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`}};var Qet=({inputs:r,backend:t,attrs:e})=>{let{x:n,mean:o,variance:s,offset:i,scale:a}=r;y.assert(o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),y.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),y.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=B().getBool("WEBGL_PACK_NORMALIZATION")?new gC(n.shape,o.shape,s.shape,c,p,u):new hC(n.shape,o.shape,s.shape,c,p,u);return t.runWebGLProgram(m,l,l[0].dtype)},sz={kernelName:cs,backendName:"webgl",kernelFunc:Qet};var xC=class{constructor(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;let e=Wt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=trt(this.rank),o,s=t.map((i,a)=>`sourceLoc.${Nk[a]} = start[${a}] + coords.${Nk[a]};`);o=`
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${e} sourceLoc;
${e} coords = getOutputCoords();
${s.join(`
`)}
`,this.userCode=`
void main() {
${o}
setOutput(getSource(${n}));
}
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`}},Nk=["x","y","z","w","u","v"];function trt(r){if(r===1)return"sourceLoc";if(r<=6)return Nk.slice(0,r).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${r} is not yet supported`)}var yC=class{constructor(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let e=Wt(this.rank),n=tr("coords",this.rank),o=tr("sourceLoc",this.rank),s=this.rank===1?"sourceLoc":`vec2(${o.slice(-2).join()})`,i=`getChannel(getSource(${o.join()}), ${s})`,a=`
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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);
}
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`}};function ert(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=Be.computeFlatOffset(t,y.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 ai(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n,[a,u]=Be.parseSliceParams(o,s,i);if(Be.assertParamsValid(o,a,u),y.sizeFromShape(u)===0)return e.makeTensorInfo(u,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype==="string"){let p=e.texData.get(o.dataId),m=KL(p.values,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,m)}let{isPacked:l}=e.texData.get(o.dataId),c=Be.isSliceContinous(o.shape,a,u);if(l||!c){let p=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new yC(u):new xC(u),m=[a];return e.runWebGLProgram(p,[o],o.dtype,m)}return e.uploadToGPU(o.dataId),ert(o,a,u,e)}var iz={kernelName:Ci,backendName:"webgl",kernelFunc:ai};var rrt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;y.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=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=[],d=lt({inputs:{x:o},backend:e,attrs:{shape:u}}),h=Le({inputs:{x:d},backend:e,attrs:{perm:l}}),g=lt({inputs:{x:h},backend:e,attrs:{shape:c}}),x=ai({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)),x},az={kernelName:mi,backendName:"webgl",kernelFunc:rrt};function nrt(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=Yw(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var lz={kernelName:Sp,backendName:"webgl",kernelFunc:nrt};function ort(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.readSync(n.dataId),i=e.readSync(o.dataId),a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],"int32",Int32Array.from(a))}var uz={kernelName:Tp,backendName:"webgl",kernelFunc:ort};var srt="return float(a != b);",kk=ce({opSnippet:srt,cpuKernelImpl:BL,dtype:"bool"}),cz={kernelName:Da,backendName:"webgl",kernelFunc:kk};function bl(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 pz={kernelName:qp,backendName:"webgl",kernelFunc:bl};var irt="return float(int(x));";function mz(r,t){let e=new Zr(r.shape,irt),n=t.runWebGLProgram(e,[r],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function _k(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=_e(o.shape),a=_k({inputs:{x:o},backend:e,attrs:{dtype:"float32"}}),u=An({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),u}if(o.dtype==="complex64"){let i=bl({inputs:{input:o},backend:e}),a=_k({inputs:{x:i},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(i),a}if(!y.hasEncodingLoss(o.dtype,s)){let i=er({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(e.shouldExecuteOnCPU([o])){let i=e.texData.get(o.dataId).values,[a,u,l]=wL(i,o.shape,o.dtype,s);return e.makeTensorInfo(a,u,l)}if(s==="int32")return mz(o,e);if(s==="bool"){let i=e.makeTensorInfo([],"bool",y.getTypedArrayFromDType("bool",1)),u=kk({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 fz={kernelName:ao,backendName:"webgl",kernelFunc:_k};var dz="return ceil(x);",art=It({opSnippet:dz,packedOpSnippet:dz,cpuKernelImpl:CL}),hz={kernelName:Jo,backendName:"webgl",kernelFunc:art};var bC=class{constructor(t){this.variableNames=["A"],this.customUniforms=[{name
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void main() {
float value = getAAtOutCoords();
if (isnan(value)) {
setOutput(value);
return;
}
setOutput(clamp(value, minVal, maxVal));
}
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`}};var wC=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=`
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void main() {
vec4 value = getAAtOutCoords();
if (any(isnan(value))) {
setOutput(value);
return;
}
setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
}
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`}};function lrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a;B().getBool("WEBGL_PACK_CLIP")?a=new wC(o.shape):a=new bC(o.shape);let u=[[s],[i]];return e.runWebGLProgram(a,[o],o.dtype,u)}var gz={kernelName:lo,backendName:"webgl",kernelFunc:lrt};var CC=class{constructor(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode=`
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void main() {
float re = abs(getRealAtOutCoords());
float im = abs(getImagAtOutCoords());
float mx = max(re, im);
// sadly the length function in glsl is not underflow-safe
// (at least not on Intel GPUs). So the safe solution is
// to ensure underflow-safety in all cases.
setOutput(
mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))
);
}
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`}};function xz(r,t){return{dataId:t.dataId,dtype:t.dtype,shape:r.shape}}function urt(r){let{inputs:t,backend:e}=r,{x:n}=t,o=e.texData.get(n.dataId),s=new CC(n.shape),i=[xz(n,o.complexTensorInfos.real),xz(n,o.complexTensorInfos.imag)];return e.runWebGLProgram(s,i,i[0].dtype)}var yz={kernelName:_l,backendName:"webgl",kernelFunc:urt};var vC=class{constructor(t){this.outputShape=[],this.outputShape=S.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=`
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void main() {
ivec2 coords = getOutputCoords();
int yR = coords.x;
int yC = coords.y;
${n.join(`
`)}
}
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`}};var SC=class{constructor(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=S.computeOutShape(t,e);let n=this.outputShape,o=n.length,s=Wt(o),i=tr("coords",o),a=["x","y","z","w","u","v"].slice(0,o);this.variableNames=t.map((h,g)=>`T${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} < ${u[0]}) {
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return getChannel(
getT0(${p}), vec2(${c.join()}));
}`;for(let h=1;h<u.length;h++){let g=u[h-1];m+=`
if (${l} < ${u[h]} && ${l} >= ${u[h-1]}) {
return getChannel(
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getT${h}(${IC(a,l,g)}),
vec2(${IC(c,l,g)}));
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}`}let f=u.length,d=u[u.length-1];m+=`
return getChannel(
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getT${f}(${IC(a,l,d)}),
vec2(${IC(c,l,d)}));`,this.userCode=`
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float getValue(${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);
}
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`}};function IC(r,t,e){let n=r.indexOf(t);return r.map((s,i)=>i===n?`${s} - ${e}`:s).join()}function Qc(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 bz={kernelName:Mp,backendName:"webgl",kernelFunc:Qc};function Rd(r,t,e){let n=r[0].dtype;if(n==="complex64"){let p=r.map(g=>bl({inputs:{input:g},backend:e})),m=r.map(g=>Qc({inputs:{input:g},backend:e})),f=Rd(p,t,e),d=Rd(m,t,e),h=An({inputs:{real:f,imag:d},backend:e});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),m.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),h}let o=e.shouldExecuteOnCPU(r);if(n==="string"&&(o=!0),o){let p=r.map(b=>{let w=y.sizeFromShape(b.shape.slice(t));return lt({inputs:{x:b},backend:e,attrs:{shape:[-1,w]}})}),m=p.map(b=>({vals:e.readSync(b.dataId),shape:b.shape})),f=S.computeOutShape(p.map(b=>b.shape),1),d=p[0].shape[0]===1,h=vL(m,f,n,d),g=S.computeOutShape(r.map(b=>b.shape),t),x=e.makeTensorInfo(g,n,h);return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}let s=B().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(r.length>s){let p=[];for(let f=0;f<r.length;f+=s){let d=r.slice(f,f+s);p.push(Rd(d,t,e))}let m=Rd(p,t,e);for(let f of p)e.disposeIntermediateTensorInfo(f);return m}if(B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&r[0].shape.length>1){let p=new SC(r.map(m=>m.shape),t);return e.runWebGLProgram(p,r,n)}let{tensors2D:i,outShape:a}=crt(r,t,e),u=new vC(i.map(p=>p.shape)),l=e.runWebGLProgram(u,i,n);i.forEach(p=>e.disposeIntermediateTensorInfo(p));let c=lt({inputs:{x:l},attrs:{shape:a},backend:e});return e.disposeIntermediateTensorInfo(l),c}function crt(r,t,e){let n=S.computeOutShape(r.map(s=>s.shape),t);return{tensors2D:r.map(s=>lt({inputs:{x:s},attrs:{shape:[-1,y.sizeFromShape(s.shape.slice(t))]},backend:e})),outShape:n}}function Ek(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n,s=y.parseAxisParam(o,t[0].shape)[0],i=S.computeOutShape(t.map(l=>l.shape),s);if(y.sizeFromShape(i)===0)return e.makeTensorInfo(i,t[0].dtype,[]);let a=t.filter(l=>y.sizeFromShape(l.shape)>0);if(a.length===1)return er({inputs:{x:a[0]},backend:e});let u=a.map(l=>l.shape);return S.assertParamsConsistent(u,s),Rd(a,s,e)}var wz={kernelName:fi,backendName:"webgl",kernelFunc:Ek};var Fd=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",x=g?1:2,b=g?2:3,w=g?3:1,C="",T="";n&&(o?C=`float activation(float a) {
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float b = getPreluActivationWeightsAtOutCoords();
${n}
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}`:s?C=`float activation(float a) {
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float b = getLeakyreluAlphaAtOutCoords();
${n}
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}`:C=`
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float activation(float x) {
${n}
}
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`,T="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=`
${C}
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const ivec2 strides = ivec2(${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 =
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ivec2(coords[${x}], coords[${b}]) * strides - pads;
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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, ${d} + 2, xR, xC)
);
dotProd += dot(xValues, wValues);
}
}
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}
}
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float result = dotProd;
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${E}
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${T}
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setOutput(result);
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}
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`}},TC=class{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;let e=t.padInfo.front,n=t.padInfo.top,o=t.padInfo.left,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.filterDepth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4;this.userCode=`
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const ivec3 strides = ivec3(${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, ${d} + 2, d2)
);
dotProd += dot(xValues, wValues);
}
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}
}
}
setOutput(dotProd);
}
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`}};var Od=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=ve(this.outputShape.length);let i=t.padInfo.left,a=t.strideWidth,u=t.dilationWidth,l=t.filterHeight,c=t.filterWidth,p=c,m=`
int xR; int xC; int xCOffset;
vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g<c;g++)m+=`
vec4 xTexelC${g*2};
int xTexelC${g*2}Ready;
vec4 xTexelC${g*2+1};
int xTexelC${g*2+1}Ready;
vec4 xC${g};`;m+=`
for (int r = 0; r < ${l}; r++) {
for (int d1 = 0; d1 < ${t.inChannels}; d1 += 2) {
`;for(let g=0;g<c;g++)m+=`
xTexelC${g*2} = vec4(0.0);
xTexelC${g*2}Ready = 0;
xTexelC${g*2+1} = vec4(0.0);
xTexelC${g*2+1}Ready = 0;
xC${g} = vec4(0.0);`;m+=`
xR = xRCorner + r * dilations[0];
if (xR >=0 && xR < inDims[0]) {
`;for(let g=0;g<(p+1)/2;g++){let x=g*2;if(m+=`
xC = xCCorner + ${x*u};
`,a===1){if(x<c&&(i%2===1?(m+=`
xCOffset = xC + 1;
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {
xTexelC${x} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${x}.zw = vec2(0.0);
}
xTexelC${x}Ready = 1;
}
`,u===1&&x>0?m+=`
xC${x} = vec4(xTexelC${x-2}.zw, xTexelC${x}.xy);
`:m+=`
xCOffset = xC + 1 - 2;
if (xCOffset >= 0 && xCOffset < inDims[1]) {
previous = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
previous.zw = vec2(0.0);
}
xC${x} = vec4(previous.zw, xTexelC${x}.xy);
} else {
xC${x} = vec4(0.0, 0.0, xTexelC${x}.xy);
}
`):m+=`
if (xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {
xTexelC${x} = getX(batch, xR, xC, d1);
if (xC + 1 >= inDims[1]) {
xTexelC${x}.zw = vec2(0.0);
}
xTexelC${x}Ready = 1;
}
xC${x} = xTexelC${x};
`,x+1<c)){let b=i%2===0?y.nearestLargerEven(u):u;u%2===0&&i%2===1||u%2!==0&&i%2!==1?(m+=`
xCOffset = xC + imod(pads[1], 2) + ${b};
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {
xTexelC${x+1} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${x+1}.zw = vec2(0.0);
}
xTexelC${x+1}Ready = 1;
}
`,u>1?m+=`
xCOffset -= 2;
if (xCOffset >= 0 && xCOffset < inDims[1]) {
previous = getX(batch, xR, xCOffset, d1);
xC${x+1} = vec4(previous.zw, xTexelC${x+1}.xy);
} else {
xC${x+1} = vec4(0.0, 0.0, xTexelC${x+1}.xy);
}
`:m+=`
xC${x+1} = vec4(xTexelC${x}.zw, xTexelC${x+1}.xy);
`):b===1?m+=`
xC${x+1} = xTexelC${x};
`:m+=`
xCOffset = xC + ${b};
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {
xTexelC${x+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= inDims[1]) {
xTexelC${x+1}.zw = vec2(0.0);
}
xTexelC${x+1}Ready = 1;
}
xC${x+1} = xTexelC${x+1};
`}}else x<c&&(i%2===1?(m+=`
xCOffset = xC + 1 - strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x}Ready == 0) {
xTexelC${x} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${x}.zw = vec2(0.0);
}
xTexelC${x}Ready = 1;
}
if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${x+1}Ready == 0) {
xTexelC${x+1} = getX(batch, xR, xC + 1, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xC + 2 >= inDims[1]) {
xTexelC${x+1}.zw = vec2(0.0);
}
xTexelC${x+1}Ready = 1;
}
xC${x} = vec4(xTexelC${x}.zw, xTexelC${x+1}.zw);
`,x+1<c&&(m+=`
final = vec4(0.0);
xCOffset = xC + 1 + strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1]) {
final = getX(batch, xR, xCOffset, d1);
}
xC${x+1} = vec4(xTexelC${x+1}.xy, final.xy);
`)):(m+=`
if(xC >= 0 && xC < inDims[1] && xTexelC${x}Ready == 0) {
xTexelC${x} = getX(batch, xR, xC, d1);
if (xC + 1 >= inDims[1]) {
xTexelC${x}.zw = vec2(0.0);
}
xTexelC${x}Ready = 1;
}
xCOffset = xC + strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${x+1}Ready == 0) {
xTexelC${x+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= inDims[1]) {
xTexelC${x+1}.zw = vec2(0.);
}
xTexelC${x+1}Ready = 1;
}
xC${x} = vec4(
xTexelC${x}.xy, xTexelC${x+1}.xy);
`,x+1<c&&(m+=`
xC${x+1} = vec4(xTexelC${x}.zw, xTexelC${x+1}.zw);
`)));x<c&&(m+=`
wTexel = getW(r, ${x}, d1, d2);
dotProd += xC${x}.xxzz * vec4(wTexel.xy, wTexel.xy);
if(d1 + 1 < ${t.inChannels}) {
dotProd += xC${x}.yyww * vec4(wTexel.zw, wTexel.zw);
}
`,x+1<c&&(m+=`
wTexel = getW(r, ${x+1}, d1, d2);
dotProd += xC${x+1}.xxzz * vec4(wTexel.xy, wTexel.xy);
if(d1 + 1 < ${t.inChannels}) {
dotProd += xC${x+1}.yyww * vec4(wTexel.zw, wTexel.zw);
}
`))}m+=`
}
`,m+=`
}
`,m+=`
}
`;let f="",d="";n&&(o?f=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
${n}
}`:s?f=`vec4 activation(vec4 a) {
vec4 b = getLeakyreluAlphaAtOutCoords();
${n}
}`:f=`vec4 activation(vec4 x) {
${n}
}`,d="result = activation(result);");let h=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${f}
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
//intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.
vec4 dotProd = vec4(0.000000000000001);
${m}
vec4 result = dotProd - vec4(0.000000000000001);
${h}
${d}
setOutput(result);
}
`}};var NC=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=t,this.enableShapeUniforms=ve(this.outputShape.length);let{dataFormat:n}=e,o=He(),s=n==="channelsLast",i=s?1:2,a=s?2:3,u=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":`if(blockIndex < ${t[2]} && pos < ${t[1]}) {`,l="";for(let c=0;c<=1;c++)for(let p=0;p<=1;p++)l+=`
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blockIndex = rc.z + ${p};
pos = rc.y + ${c};
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${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(
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getA(rc.x, d0, int(innerDims.x),
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int(innerDims.y)), innerDims);
} else {
innerDims = vec2(d0, d1);
result[${c*2+p}] = getChannel(
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getA(rc.x, ch, int(innerDims.x),
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int(innerDims.y)), innerDims);
}
}
}
}
`;this.userCode=`
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void main() {
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ivec3 rc = getOutputCoords();
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vec4 result = vec4(0);
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int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
vec2 innerDims;
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${l}
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${o.output} = result;
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}
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`}};function kC(r,t){let e=r.length;return e>=3?t?[...r.slice(0,-3),r[e-3]*r[e-2],r[e-1]]:[...r.slice(0,-3),r[e-3],r[e-2]*r[e-1]]:!t&&e===1&&r[0]>1?[r[0],1]:null}function _C({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,x=[];if(s!=null){let C=kC(s.shape,f);C!=null&&(s=lt({inputs:{x:s},backend:n,attrs:{shape:C}}),x.push(s))}if(o!=null){let C=kC(o.shape,f);C!=null&&(o=lt({inputs:{x:o},backend:n,attrs:{shape:C}}),x.push(o))}if(!((p===1||m===1)&&c>Tk)&&l.isPacked&&f&&l.texture!=null&&u[2]%2!==0&&y.arraysEqual(l.shape.slice(-3),u.slice(-3))){let C=u[0]*u[1]*(u[2]+1),T={dataId:r.dataId,shape:[1,C,e.inChannels],dtype:r.dtype},E=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,y.assert(_u(l.shape,T.shape),()=>`packed reshape ${l.shape} to ${T.shape} isn't free`);let $=lt({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}});x.push($);let D=Jc({a:T,b:$,backend:n,transposeA:d,transposeB:h,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i}),P=n.texData.get(D.dataId);y.assert(P.isPacked,()=>"batchMatMul result is expected to be packed"),l.shape=E,P.shape=e.outShape,g=er({inputs:{x:D},backend:n}),g.shape=e.outShape,x.push(D)}else{let C=e.outHeight*e.outWidth,T=lt({inputs:{x:r},backend:n,attrs:{shape:f?[e.batchSize,C,e.inChannels]:[e.batchSize,e.inChannels,C]}}),E=lt({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}}),$=Jc({a:f?T:E,b:f?E:T,transposeA:!f,transposeB:h,backend:n,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i});g=lt({inputs:{x:$},backend:n,attrs:{shape:e.outShape}}),x.push(T),x.push(E),x.push($)}for(let C of x)n.disposeIntermediateTensorInfo(C);return g}function EC({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,x=[e.batchSize,h,g],b=!0,w=!1,C=[];if(s!=null){let K=kC(s.shape,d);K!=null&&(s=lt({inputs:{x:s},backend:n,attrs:{shape:K}}),C.push(s))}if(o!=null){let K=kC(o.shape,d);K!=null&&(o=lt({inputs:{x:o},backend:n,attrs:{shape:K}}),C.push(o))}let T=lt({inputs:{x:t},backend:n,attrs:{shape:[1,h,y.sizeFromShape(t.shape)/h]}});C.push(T);let E=new NC(x,e),$=[r.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],D=n.runWebGLProgram(E,[r],"float32",$),P=lt({inputs:{x:D},backend:n,attrs:{shape:x}});C.push(D),C.push(P);let M=o!=null,W=s!=null,H=a==="leakyrelu",q=a?yl(a,!0):null,X=new Dd(d?P.shape:T.shape,d?T.shape:P.shape,d?[e.batchSize,g,e.outChannels]:[e.batchSize,e.outChannels,g],b,w,M,q,W,H),j=d?[P,T]:[T,P];if(o&&j.push(o),W&&j.push(s),H){let K=n.makeTensorInfo([],"float32",y.createScalarValue(i,"float32"));j.push(K),C.push(K)}let Z=n.runWebGLProgram(X,j,"float32"),et=lt({inputs:{x:Z},backend:n,attrs:{shape:e.outShape}});C.push(Z);for(let K of C)n.disposeIntermediateTensorInfo(K);return et}function prt(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=S.convertConv2DDataFormat(u),m=S.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=_C({x:o,filter:s,convInfo:m,backend:e});else if(m.strideWidth<=2&&p==="channelsLast"&&B().getBool("WEBGL_EXP_CONV")){let h=new Od(m),g=[[m.padInfo.top,m.padInfo.left],[m.strideHeight,m.strideWidth],[m.dilationHeight,m.dilationWidth],[m.inHeight,m.inWidth]];f=e.runWebGLProgram(h,[o,s],"float32",g)}else if(B().getBool("WEBGL_CONV_IM2COL"))f=EC({x:o,filter:s,convInfo:m,backend:e});else{let h=new Fd(m);f=e.runWebGLProgram(h,[o,s],"float32")}let d=lt({inputs:{x:f},backend:e,attrs:{shape:m.outSh
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void main() {
ivec4 coords = getOutputCoords();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int d2 = coords.w;
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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);
}
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`}},$C=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dataFormat==="channelsLast",a=e-1-t.padInfo.top,u=n-1-t.padInfo.left,l=i?1:2,c=i?2:3,p=i?3:1;this.userCode=`
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const ivec2 pads = ivec2(${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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`}},DC=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 >= ${t.inWidth}) {
continue;
}
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float dyValue = getDy(b, yF, yR, yC, d2);
float xValue = getX(b, xF, xR, xC, d1);
dotProd += (xValue * dyValue);
}
}
}
}
setOutput(dotProd);
}
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`}},RC=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=e-1-t.padInfo.front,l=n-1-t.padInfo.top,c=o-1-t.padInfo.left;this.userCode=`
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const ivec3 pads = ivec3(${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 mrt(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=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,c,i,1,a,l,!1,p),f=new AC(m);return e.runWebGLProgram(f,[o,s],"float32")}var vz={kernelName:kp,backendName:"webgl",kernelFunc:mrt};function frt(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=S.convertConv2DDataFormat(l),m=S.computeConv2DInfo(i,s.shape,a,1,u,c,!1,p),f=new $C(m);return e.runWebGLProgram(f,[o,s],"float32")}var Iz={kernelName:ts,backendName:"webgl",kernelFunc:frt};function drt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeConv3DInfo(o.shape,s.shape,i,u,a),c=new TC(l);return e.runWebGLProgram(c,[o,s],"float32")}var Sz={kernelName:El,backendName:"webgl",kernelFunc:drt};function hrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,filterShape:u}=n,l=S.computeConv3DInfo(o.shape,u,i,1,a),c=new DC(l);return e.runWebGLProgram(c,[o,s],"float32")}var Tz={kernelName:_p,backendName:"webgl",kernelFunc:hrt};function grt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{pad:i,strides:a,inputShape:u}=n,l=S.computeConv3DInfo(u,s.shape,a,1,i),c=new RC(l);return e.runWebGLProgram(c,[o,s],"float32")}var Nz={kernelName:Ep,backendName:"webgl",kernelFunc:grt};var xrt=Oo+`
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return cos(x);
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`,yrt=It({opSnippet:xrt}),kz={kernelName:es,backendName:"webgl",kernelFunc:yrt};var brt=`
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float e2x = exp(-x);
return (e2x + 1.0 / e2x) / 2.0;
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`,wrt=It({opSnippet:brt}),_z={kernelName:rs,backendName:"webgl",kernelFunc:wrt};var FC=class{constructor(t,e,n,o,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[i,a,u,l]=t,[c]=e,[p,m]=n;this.outputShape=[c,p,m,l];let f=o==="bilinear"?1:0,[d,h]=[`${a-1}.0`,`${u-1}.0`],[g,x,b]=p>1?[`${(a-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${d} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${d}`],[w,C,T]=m>1?[`${(u-1)/(m-1)}`,"(x2-x1) * width_ratio",`x1*${h} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${h}`];this.userCode=`
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const float height_ratio = float(${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 = ${x};
float width_scale = ${C};
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float in_y = ${b};
if( in_y < 0.0 || in_y > ${d} ) {
setOutput(float(${s}));
return;
}
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float in_x = ${T};
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if( in_x < 0.0 || in_x > ${h} ) {
setOutput(float(${s}));
return;
}
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vec2 sourceFracIndexCR = vec2(in_x,in_y);
if(${f} == 1) {
// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);
ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));
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float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);
float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);
float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);
float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);
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vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);
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float top = topLeft + (topRight - topLeft) * fracCR.x;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;
float newValue = top + (bottom - top) * fracCR.y;
setOutput(newValue);
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2(floor(
sourceFracIndexCR + vec2(0.5,0.5)));
float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);
setOutput(newValue);
}
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}
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`}};var Crt=r=>{let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,c=new FC(o.shape,s.shape,a,u,l);return e.runWebGLProgram(c,[o,s,i],"float32")},Ez={kernelName:da,backendName:"webgl",kernelFunc:Crt};var tp;(function(r){r.Prod="*",r.Sum="+"})(tp||(tp={}));var mg=class{constructor(t,e,n,o){this.op=t,this.outputShape=e,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let s=this.outputShape.length,i=this.op===tp.Prod?"1.0":"0.0",a=n?i:`getX(${Az(s,"coords",this.op)})`,u=this.outputShape[this.outputShape.length-1],l="",c="";n?(l=o?`end != ${u-1}`:"end != 0",c=o?"end + 1":"end - 1"):(l=o?`end + pow2 < ${u}`:"end >= pow2",c=o?"end + pow2":"end - pow2"),this.userCode=`
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void main() {
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${Wt(s)} coords = getOutputCoords();
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int end = ${$z(s,"coords",this.op)};
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float val = ${a};
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int pow2 = int(pow(2.0, index));
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if (${l}) {
int idx = ${c};
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${$z(s,"coords",this.op)} = idx;
val ${this.op}= getX(${Az(s,"coords",this.op)});
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}
setOutput(val);
}
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`}};function Az(r,t,e){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 new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function $z(r,t,e){if(r===1)return`${t}`;if(r===2)return`${t}.y`;if(r===3)return`${t}.z`;if(r===4)return`${t}.w`;throw new Error(`Cumulative ${e} for rank ${r} is not yet supported`)}function OC(r,t,e,n,o,s){let i=t.shape.length,a=S.getAxesPermutation([n],i),u=t;a!=null&&(u=Le({inputs:{x:t},backend:e,attrs:{perm:a}}));let l=S.getInnerMostAxes(1,i)[0];if(l!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${n}`);let c=u.shape[l],p=er({inputs:{x:u},backend:e});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let f=new mg(r,u.shape,!1,s),d=[[m]],h=p;p=e.runWebGLProgram(f,[p],p.dtype,d),e.disposeIntermediateTensorInfo(h)}if(o){let m=new mg(r,u.shape,o,s),f=p;p=e.runWebGLProgram(m,[p],p.dtype),e.disposeIntermediateTensorInfo(f)}if(a!=null){let m=S.getUndoAxesPermutation(a),f=Le({inputs:{x:p},backend:e,attrs:{perm:m}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(u),f}return p}function vrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return OC(tp.Prod,o,e,s,i,a)}var Dz={kernelName:fa,backendName:"webgl",kernelFunc:vrt};function Irt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return OC(tp.Sum,o,e,s,i,a)}var Rz={kernelName:ns,backendName:"webgl",kernelFunc:Irt};function Srt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i,binaryOutput:a}=n;if(o.shape.length===1){let u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=Yw(u,l,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,c)}else if(o.shape.length===2){let u=e.bufferSync(o),l=e.bufferSync(s),c=bL(u,l,i,a);return e.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${o.shape.length}.`)}var Fz={kernelName:Ap,backendName:"webgl",kernelFunc:Srt};var PC=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int h = ${this.getHeightCoordString()};
int w = ${this.getWidthCoordString()};
int d = ${this.getDepthCoordString()};
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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);
}
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`}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function Trt(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 PC(d,s,i);return e.runWebGLProgram(h,[o],o.dtype)}var Oz={kernelName:ha,backendName:"webgl",kernelFunc:Trt};var Pd=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=ve(this.outputShape.length);let i=t.filterHeight,a=t.filterWidth,u=t.outChannels/t.inChannels,l="",c="";n&&(o?l=`float activation(float a) {
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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}
${c}
setOutput(result);
}
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`}};var Ld=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=ve(this.outputShape.length);let i=t.outChannels/t.inChannels,a=t.padInfo.left,u=t.strideWidth,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,m=p,f=`
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int xR; int xC; int xCOffset;
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vec4 wTexel; vec4 previous; vec4 final;`;for(let x=0;x<p;x++)f+=`
vec4 xTexelC${x*2};
int xTexelC${x*2}Ready;
vec4 xTexelC${x*2+1};
int xTexelC${x*2+1}Ready;
vec4 xC${x};`;f+=`
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for (int r = 0; r < ${c}; r++) {
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`;for(let x=0;x<p;x++)f+=`
xTexelC${x*2} = vec4(0.0);
xTexelC${x*2}Ready = 0;
xTexelC${x*2+1} = vec4(0.0);
xTexelC${x*2+1}Ready = 0;
xC${x} = vec4(0.0);`;f+=`
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xR = xRCorner + r * dilations[0];
if (xR >=0 && xR < inDims[0]) {
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`;for(let x=0;x<(m+1)/2;x++){let b=x*2;if(f+=`
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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};
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`,b+1<p)){let w=a%2===0?y.nearestLargerEven(l):l;l%2===0&&a%2===1||l%2!==0&&a%2!==1?(f+=`
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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${b+1}Ready = 1;
}
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`,l>1?f+=`
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xCOffset -= 2;
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if (xCOffset >= 0 && xCOffset < inDims[1]) {
previous = getX(batch, xR, xCOffset, d1);
xC${b+1} = vec4(previous.zw, xTexelC${b+1}.xy);
} else {
xC${b+1} = vec4(0.0, 0.0, xTexelC${b+1}.xy);
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}
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`:f+=`
xC${b+1} = vec4(xTexelC${b}.zw, xTexelC${b+1}.xy);
`):w===1?f+=`
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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 Nrt(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]),y.assert(S.eitherStridesOrDilationsAreOne(i,c),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${c}'`);let p=S.computeConv2DInfo(o.shape,s.shape,i,c,a,l,!0),m;B().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels===1?m=new Ld(p):m=new Pd(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 Pz={kernelName:os,backendName:"webgl",kernelFunc:Nrt};var LC=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 >= ${t.inWidth}) {
continue;
}
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float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
}
}
}
setOutput(dotProd);
}
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`}},MC=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode=`
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const ivec2 pads = ivec2(${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 * ${u} + dm;
float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, dm);
dotProd += xValue * wValue;
}
}
}
setOutput(dotProd);
}
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`}};function krt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,filterShape:c}=n,p=S.computeConv2DInfo(o.shape,c,i,a,u,l,!0),m=new LC(p);return e.runWebGLProgram(m,[o,s],"float32")}var Lz={kernelName:$p,backendName:"webgl",kernelFunc:krt};function _rt(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=S.computeConv2DInfo(c,s.shape,i,a,u,l,!0),m=new MC(p);return e.runWebGLProgram(m,[o,s],"float32")}var Mz={kernelName:Dp,backendName:"webgl",kernelFunc:_rt};var zC=class{constructor(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
setOutput(val);
}
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`}};function Ert(r){let{inputs:t,backend:e}=r,{x:n}=t,o=[...n.shape,...n.shape],s=y.sizeFromShape(n.shape),i=lt({inputs:{x:n},backend:e,attrs:{shape:[s]}}),a=new zC(s),u=e.runWebGLProgram(a,[i],i.dtype),l=lt({inputs:{x:u},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(u),l}var zz={kernelName:Rp,backendName:"webgl",kernelFunc:Ert};var BC=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=`
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const ivec2 strides = ivec2(${s}, ${i});
const ivec2 pads = ivec2(${p}, ${m});
const float neg_infinity = -3.4e38;
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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 Art(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeDilation2DInfo(o.shape,s.shape,i,a,"NHWC",u),c,p=new BC(l);c=e.runWebGLProgram(p,[o,s],"float32");let m=lt({inputs:{x:c},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(c),m}var Bz={kernelName:Al,backendName:"webgl",kernelFunc:Art};function $rt(r){let{inputs:t,backend:e,attrs:n}=r,{equation:o}=n,s=t,{allDims:i,summedDims:a,idDims:u}=S.decodeEinsumEquation(o,s.length);S.checkEinsumDimSizes(i.length,u,s);let{path:l,steps:c}=S.getEinsumComputePath(a,u),p=c.length,m=null,f=i.length,d=[];for(let h=0;h<p;++h){for(let g of c[h]){let{permutationIndices:x,expandDims:b}=S.getEinsumPermutation(f,u[g]),w;S.isIdentityPermutation(x)?w=s[g]:(w=Le({inputs:{x:s[g]},backend:e,attrs:{perm:x}}),d.push(w));let C=w.shape.slice();for(let T=0;T<b.length;++T)C.splice(b[T],0,1);y.arraysEqual(w.shape,C)||(w=lt({inputs:{x:w},backend:e,attrs:{shape:C}}),d.push(w)),m===null?m=w:(m=cg({inputs:{a:w,b:m},backend:e}),d.push(m))}h<p-1&&(l[h]>=0&&(m=Zc({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var Vz={kernelName:Fp,backendName:"webgl",kernelFunc:$rt};var Drt="return (x >= 0.0) ? x : (exp(x) - 1.0);",Rrt=`
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vec4 result;
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result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
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return result;
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`,Frt=It({opSnippet:Drt,packedOpSnippet:Rrt}),Gz={kernelName:is,backendName:"webgl",kernelFunc:Frt};var Ort="return (b >= 1.0) ? a : a * (b + 1.0);",Prt=`
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vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
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`,Lrt=r=>{let{inputs:t,backend:e}=r,{dy:n,y:o}=t,s=B().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Fo(Prt,n.shape,o.shape):new no(Ort,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],n.dtype)},Wz={kernelName:Op,backendName:"webgl",kernelFunc:Lrt};var Mrt=`
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return vec4(equal(a, b));
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`,zrt="return float(a == b);",Brt=ce({opSnippet:zrt,packedOpSnippet:Mrt,dtype:"bool",cpuKernelImpl:IL}),Uz={kernelName:xa,backendName:"webgl",kernelFunc:Brt};var Vrt=`
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// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
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float p = ${S.ERF_P};
float a1 = ${S.ERF_A1};
float a2 = ${S.ERF_A2};
float a3 = ${S.ERF_A3};
float a4 = ${S.ERF_A4};
float a5 = ${S.ERF_A5};
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float sign = sign(x);
x = abs(x);
float t = 1.0 / (1.0 + p * x);
return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));
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`,Grt=It({opSnippet:Vrt}),Hz={kernelName:ga,backendName:"webgl",kernelFunc:Grt};var Wrt=Oo+`
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return exp(x);
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`,Urt=`
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vec4 result = exp(x);
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
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`,Ak=It({opSnippet:Wrt,packedOpSnippet:Urt,cpuKernelImpl:SL,dtype:"float32"}),qz={kernelName:as,backendName:"webgl",kernelFunc:Ak};function VC(r){let{inputs:t,attrs:e,backend:n}=r,{dim:o}=e,{input:s}=t,i=s.shape.length,a=s.shape.slice(),u=o;return o<0&&(y.assert(-(i+1)<=o,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),u=i+o+1),a.splice(u,0,1),lt({inputs:{x:s},backend:n,attrs:{shape:a}})}var Kz={kernelName:di,backendName:"webgl",kernelFunc:VC};var jz="return exp(x) - 1.0;",Hrt=It({opSnippet:jz,packedOpSnippet:jz,cpuKernelImpl:TL}),Xz={kernelName:ya,backendName:"webgl",kernelFunc:Hrt};var fg=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=`
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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) / ${i};
}
return result;
}
void main() {
ivec2 coords = getOutputCoords();
setOutput(mulMatDFT(coords[0], coords[1]));
}
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`}};function GC(r,t,e){let n=e.texData.get(r.dataId),o=y.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],i=o/s,a=lt({inputs:{x:r},backend:e,attrs:{shape:[i,s]}}),u=a.shape,l=new fg("real",u,t),c=new fg("imag",u,t),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],m=e.runWebGLProgram(l,p,"float32"),f=e.runWebGLProgram(c,p,"float32"),d=An({inputs:{real:m,imag:f},backend:e});e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f);let h=lt({inputs:{x:d},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(d),h}function qrt(r){let{inputs:t,backend:e}=r,{input:n}=t;return GC(n,!1,e)}var Yz={kernelName:Pp,backendName:"webgl",kernelFunc:qrt};var WC=class{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=t,this.userCode=`
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void main() {
// Input can be obtained from uniform value.
setOutput(value);
}
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`}};function wl(r){let{backend:t,attrs:e}=r,{shape:n,value:o}=e,{dtype:s}=e;if(s=s||y.inferDtype(o),s==="string"){let i=y.getArrayFromDType(s,y.sizeFromShape(n));return i.fill(o),t.makeTensorInfo(n,s,i)}else{let i=new WC(n,o),a=[[o]];return t.runWebGLProgram(i,[],s,a)}}var Zz={kernelName:$l,backendName:"webgl",kernelFunc:wl};var UC=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 Jz={kernelName:ba,backendName:"webgl",kernelFunc:({inputs:r,backend:t})=>{let{image:e}=r,n=t,o=new UC(e.shape);return n.runWebGLProgram(o,[e],e.dtype)}};var Qz="return floor(x);",Krt=It({opSnippet:Qz,packedOpSnippet:Qz,cpuKernelImpl:NL}),t3={kernelName:ls,backendName:"webgl",kernelFunc:Krt};var jrt=`
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float s = sign(a) * sign(b);
int ia = round(a);
int ib = round(b);
if (ib != 0) {
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
return float(idiv(ia, ib, s));
} else {
return NAN;
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}
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`,Xrt=`
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ivec4 ia = round(a);
ivec4 ib = round(b);
bvec4 cond = notEqual(ib, ivec4(0));
ivec4 result = ivec4(0);
vec4 s = sign(a) * sign(b);
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// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if (cond[0]) {
result[0] = idiv(ia[0], ib[0], s[0]);
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}
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if (cond[1]) {
result[1] = idiv(ia[1], ib[1], s[1]);
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}
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if (cond[2]) {
result[2] = idiv(ia[2], ib[2], s[2]);
}
if (cond[3]) {
result[3] = idiv(ia[3], ib[3], s[3]);
}
return vec4(result);
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`,Yrt=ce({opSnippet:jrt,packedOpSnippet:Xrt,dtype:"int32"}),e3={kernelName:us,backendName:"webgl",kernelFunc:Yrt};var HC=class{constructor(t){this.variableNames=["A"];let e=He(),[n,o]=t;this.outputShape=t,this.userCode=`
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void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${o}.0, ${n}.0);
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vec4 values = ${e.texture2D}(A, uv);
float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
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setOutput(floor(value * 255.0 + 0.5));
}
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`}};var qC=class{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let e=He(),[n,o]=t;this.outputShape=t,this.userCode=`
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void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
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vec4 result = vec4(0.);
for(int row=0; row<=1; row++) {
for(int col=0; col<=1; col++) {
texC = coords[1] + row;
depth = coords[2] + col;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${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;
}
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`}};var r3={kernelName:ih,backendName:"webgl",kernelFunc:Zrt},Md,$k=B().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function Zrt(r){let{inputs:t,backend:e,attrs:n}=r,{pixels:o}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!="undefined"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement!="undefined"&&o instanceof HTMLImageElement,[u,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[l,u],p=[l,u,s];if(a||i){let h=B().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Md==null||h!==$k)&&($k=h,Md=document.createElement("canvas").getContext("2d",{willReadFrequently:$k})),Md.canvas.width=u,Md.canvas.height=l,Md.drawImage(o,0,0,u,l),o=Md.canvas}let m=e.makeTensorInfo(c,"int32");e.texData.get(m.dataId).usage=Hr.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(m.dataId),o);let f=B().getBool("WEBGL_PACK")?new qC(p):new HC(p),d=e.runWebGLProgram(f,[m],"int32");return e.disposeData(m.dataId),d}function Jrt(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=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(o.shape,s.shape,u,p,l,m,!1,h),x,b=[],w=i!=null,C=a!=null,T=f==="leakyrelu",E=()=>{let D=[o,s],P=(M,W)=>{if(W==="NCHW"&&M.shape.length===1&&M.shape[0]!==1){let H=lt({inputs:{x:M},backend:e,attrs:{shape:[M.shape[0],1,1]}});return b.push(H),H}return M};if(w&&D.push(P(i,c)),C&&D.push(P(a,c)),T){let M=e.makeTensorInfo([],"float32",y.createScalarValue(d,"float32"));D.push(M),b.push(M)}return D};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"))x=_C({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else if(g.strideWidth<=2&&h==="channelsLast"&&B().getBool("WEBGL_EXP_CONV")){let D=f?yl(f,!0):null,P=new Od(g,w,D,C,T),M=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],W=E();x=e.runWebGLProgram(P,W,"float32",M)}else if(B().getBool("WEBGL_CONV_IM2COL"))x=EC({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else{let D=f?yl(f,!1):null,P=new Fd(g,w,D,C,T),M=E();x=e.runWebGLProgram(P,M,"float32")}let $=lt({inputs:{x},backend:e,attrs:{shape:g.outShape}});return b.push(x),b.forEach(D=>e.disposeIntermediateTensorInfo(D)),$}var n3={kernelName:ki,backendName:"webgl",kernelFunc:Jrt};function Qrt(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]),y.assert(S.eitherStridesOrDilationsAreOne(u,h),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${u} and dilations '${h}'`);let g=S.computeConv2DInfo(o.shape,s.shape,u,h,l,p,!0),x=B().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?yl(m,x):null,w=[o,s],C=i!=null,T=a!=null,E=m==="leakyrelu";if(C&&w.push(i),T&&w.push(a),E){let M=e.makeTensorInfo([],"float32",y.createScalarValue(f,"float32"));w.push(M),d.push(M)}let $;x?$=new Ld(g,C,b,T,E):$=new Pd(g,C,b,T,E);let D=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],P=e.runWebGLProgram($,w,"float32",D);return d.forEach(M=>e.disposeIntermediateTensorInfo(M)),P}var o3={kernelName:_i,backendName:"webgl",kernelFunc:Qrt};var KC=class{constructor(t,e,n,o){this.sliceDim=t,this.strides=e,this.paramsShape=o,this.variableNames=["x","indices"],this.outputShape=n;let s=Wt(e.length),i=Wt(n.length),a=this.sliceDim>1?"strides[j]":"strides",u=Wt(o.length),l=o.length>1?"paramsShape[j]":"paramsShape";this.userCode=`
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${s} strides = ${s}(${this.strides});
${u} paramsShape = ${u}(${this.paramsShape});
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void main() {
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${i} coords = getOutputCoords();
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int flattenIndex = 0;
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bool out_of_bounds = false;
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for (int j = 0; j < ${this.sliceDim}; j++) {
int index = round(getIndices(coords[0], j));
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out_of_bounds = out_of_bounds || index < 0;
out_of_bounds = out_of_bounds || index >= ${l};
flattenIndex += index * ${a};
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}
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setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));
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}
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`}};function tnt(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=o.shape,i=s[s.length-1],a=y.sizeFromShape(n.shape),[u,l,c,p]=S.prepareAndValidate(n,o),m=lt({inputs:{x:o},backend:e,attrs:{shape:[l,i]}}),f=lt({inputs:{x:n},backend:e,attrs:{shape:[y.sizeFromShape(n.shape)/c,c]}});if(e.shouldExecuteOnCPU([n,o])||n.dtype==="string"){let x=e.readSync(o.dataId),b=e.bufferSync(n),w=kL(x,b,n.dtype,l,i,c,p,n.shape,a);return e.makeTensorInfo(u,n.dtype,w.values)}let d=new KC(i,p,[l,c],n.shape),h=e.runWebGLProgram(d,[f,m],f.dtype),g=lt({inputs:{x:h},backend:e,attrs:{shape:u}});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(h),g}var s3={kernelName:wa,backendName:"webgl",kernelFunc:tnt};var jC=class{constructor(t,e){this.variableNames=["A","indices"],this.outputShape=e,this.rank=e.length;let n=Wt(this.rank),o=ent(t,2);this.userCode=`
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void main() {
${n} resRC = getOutputCoords();
int index = int(getIndices(resRC.x, resRC.z));
float inBounds = (index >= 0) && (index < ${t[2]}) ? 1.0 : 0.0;
setOutput(inBounds * getA(${o}));
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}
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`}};function ent(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 Dk(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,indices:s}=t,{axis:i,batchDims:a}=n,u=y.parseAxisParam(i,o.shape)[0];if(B().get("DEBUG")){let b=e.readSync(s.dataId),w=o.shape[u];for(let C=0;C<b.length;++C){let T=b[C];y.assert(T<=w-1&&T>=0,()=>`GatherV2: the index value ${T} is not in [0, ${w-1}]`)}}let l=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),c=y.sizeFromShape(s.shape),p=[],m=lt({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=lt({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),C=_L(w,b,d);return p.forEach(T=>e.disposeIntermediateTensorInfo(T)),e.makeTensorInfo(l.outputShape,C.dtype,C.values)}let h=new jC(m.shape,d),g=e.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let x=lt({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),x}var i3={kernelName:hi,backendName:"webgl",kernelFunc:Dk};var rnt="return float(a > b);",nnt=`
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return vec4(greaterThan(a, b));
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`,ont=ce({opSnippet:rnt,packedOpSnippet:nnt,cpuKernelImpl:EL,dtype:"bool"}),a3={kernelName:Ca,backendName:"webgl",kernelFunc:ont};var snt="return float(a >= b);",int=`
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return vec4(greaterThanEqual(a, b));
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`,ant=ce({opSnippet:snt,packedOpSnippet:int,dtype:"bool",cpuKernelImpl:AL}),l3={kernelName:ps,backendName:"webgl",kernelFunc:ant};function lnt(r){let{inputs:t,backend:e}=r,{input:n}=t;return GC(n,!0,e)}var u3={kernelName:Lp,backendName:"webgl",kernelFunc:lnt};var unt="return float(!isnan(x) && !isinf(x));",cnt=It({opSnippet:unt,dtype:"bool"}),c3={kernelName:va,backendName:"webgl",kernelFunc:cnt};var pnt="return float(isinf(x));",mnt=It({opSnippet:pnt,dtype:"bool"}),p3={kernelName:Ia,backendName:"webgl",kernelFunc:mnt};var fnt="return float(isnan(x));",dnt=It({opSnippet:fnt,dtype:"bool"}),m3={kernelName:Sa,backendName:"webgl",kernelFunc:dnt};var hnt="return float(a < b);",gnt=`
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return vec4(lessThan(a, b));
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`,xnt=ce({opSnippet:hnt,packedOpSnippet:gnt,cpuKernelImpl:$L,dtype:"bool"}),f3={kernelName:Ta,backendName:"webgl",kernelFunc:xnt};var ynt="return float(a <= b);",bnt=`
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return vec4(lessThanEqual(a, b));
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`,wnt=ce({opSnippet:ynt,packedOpSnippet:bnt,cpuKernelImpl:DL,dtype:"bool"}),d3={kernelName:Na,backendName:"webgl",kernelFunc:wnt};function Cnt(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=RL(n,o,s);return t.makeTensorInfo([i.length],"float32",i)}var h3={kernelName:zp,backendName:"webgl",kernelFunc:Cnt};var vnt=Oo+`
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return x < 0.0 ? 0./0. : log(x);
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`,Int=`
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vec4 result = log(x);
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : (x.r < 0.0 ? 0./0. : result.r);
result.g = isNaN.g ? x.g : (x.g < 0.0 ? 0./0. : result.g);
result.b = isNaN.b ? x.b : (x.b < 0.0 ? 0./0. : result.b);
result.a = isNaN.a ? x.a : (x.a < 0.0 ? 0./0. : result.a);
return result;
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`,Snt=It({opSnippet:vnt,packedOpSnippet:Int,cpuKernelImpl:FL}),g3={kernelName:fs,backendName:"webgl",kernelFunc:Snt};var Tnt=Oo+`
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return log(1.0 + x);
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`,Nnt=It({opSnippet:Tnt}),x3={kernelName:ka,backendName:"webgl",kernelFunc:Nnt};var knt="return float(a >= 1.0 && b >= 1.0);",_nt=`
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return vec4(
vec4(greaterThanEqual(a, vec4(1.0))) *
vec4(greaterThanEqual(b, vec4(1.0))));
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`,Ent=ce({opSnippet:knt,packedOpSnippet:_nt,dtype:"bool"}),y3={kernelName:_a,backendName:"webgl",kernelFunc:Ent};var Ant="return float(!(x >= 1.0));",$nt=It({opSnippet:Ant}),b3={kernelName:Ea,backendName:"webgl",kernelFunc:$nt};var Dnt="return float(a >= 1.0 || b >= 1.0);",Rnt=`
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return min(
vec4(greaterThanEqual(a, vec4(1.0))) +
vec4(greaterThanEqual(b, vec4(1.0))),
vec4(1.0));
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`,Fnt=ce({opSnippet:Dnt,packedOpSnippet:Rnt,dtype:"bool"}),w3={kernelName:Aa,backendName:"webgl",kernelFunc:Fnt};var XC=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 * ${u};
setOutput(val);
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}
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`}};var YC=class{constructor(t,e,n,o,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let i=e,a=t[3]-1;this.outputShape=t;let u,l=`float(${n}) + float(${o}) * sum`;s===.5?u=`inversesqrt(${l})`:s===1?u=`1.0/(${l})`:u=`exp(log(${l}) * float(-${s}));`,this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords.x;
int r = coords.y;
int c = coords.z;
int d = coords.w;
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bool hasNextCol = d < ${this.outputShape[3]};
bool hasNextRow = c < ${this.outputShape[2]};
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vec4 sum = vec4(0.);
vec4 xFragAtOutputCoords = getX(b, r, c, d);
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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);
}
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`}};var Ont=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n,l=B().getBool("WEBGL_PACK_NORMALIZATION")?new YC(o.shape,s,i,a,u):new XC(o.shape,s,i,a,u);return e.runWebGLProgram(l,[o],o.dtype)},C3={kernelName:Dl,backendName:"webgl",kernelFunc:Ont};var ZC=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=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
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float result = 0.0;
for (int d = 0; d < ${this.depth}; ++d) {
int depthBegin = int(max(0.0, float(d - ${e})));
int depthEnd = int(min(float(${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)
/ norm;
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);
}
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`}};var Pnt=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 ZC(o.shape,a,u,l,c);return e.runWebGLProgram(p,[o,s,i],o.dtype)},v3={kernelName:Bp,backendName:"webgl",kernelFunc:Pnt};function I3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=lt({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Un(a,r.dtype,"max",n),l=lt({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}function Rk(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reductionIndices:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=e.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=e.texData.get(f.dataId).values,C=new Array(a);for(let $=0;$<C.length;$++)C[$]=o.shape[c[$]];let T=Xc(w,o.shape,o.dtype,c,C);f=e.makeTensorInfo(C,o.dtype);let E=e.texData.get(f.dataId);E.values=T}else f=$u(o,c,e);l=S.getInnerMostAxes(l.length,a)}S.assertAxesAreInnerMostDims("max",l,a);let[d,h]=S.computeOutAndReduceShapes(f.shape,l),g=d;i&&(g=S.expandShapeToKeepDim(d,u));let x;if(m){let w=e.texData.get(f.dataId).values,C=OL(w,y.sizeFromShape(h),g,o.dtype);x=e.makeTensorInfo(g,o.dtype);let T=e.texData.get(x.dataId);T.values=C}else x=I3(f,h,g,e);return p&&e.disposeIntermediateTensorInfo(f),x}var S3={kernelName:ds,backendName:"webgl",kernelFunc:Rk};var Lnt=nC+`
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return max(a, b);
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`,Mnt=`
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vec4 result = vec4(max(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+Au+`
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return result;
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`,znt=ce({opSnippet:Lnt,packedOpSnippet:Mnt,cpuKernelImpl:PL}),T3={kernelName:hs,backendName:"webgl",kernelFunc:znt};function Bnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;oi(o,"maxPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;y.assert(S.eitherStridesOrDilationsAreOne(i,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${l}'`);let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&y.arraysEqual(c.inShape,c.outShape))return er({inputs:{x:o},backend:e});let p=new ii(c,"max",!1);return e.runWebGLProgram(p,[o],o.dtype)}var N3={kernelName:gs,backendName:"webgl",kernelFunc:Bnt};function Vnt(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=S.computePool3DInfo(o.shape,s,i,c,a,l,u),m=new Du(p,"max",!1);return e.runWebGLProgram(m,[o],o.dtype)}var k3={kernelName:Rl,backendName:"webgl",kernelFunc:Vnt};var JC=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=`
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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 * ${i} + wC;
float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
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dotProd += dyValue * mask;
}
}
setOutput(dotProd);
}
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`}},QC=class{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterDepth,l=t.effectiveFilterHeight,c=t.effectiveFilterWidth,p=u-1-t.padInfo.front,m=l-1-t.padInfo.top,f=c-1-t.padInfo.left,d=u*l*c-1;this.userCode=`
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const ivec3 pads = ivec3(${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);
}
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`}};function Gnt(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=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new Du(m,"max",!0),d=e.runWebGLProgram(f,[i],i.dtype),h=new QC(m),g=e.runWebGLProgram(h,[o,d],i.dtype);return e.disposeIntermediateTensorInfo(d),g}var _3={kernelName:Gp,backendName:"webgl",kernelFunc:Gnt};function Wnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;oi([s,i],"maxPoolGrad");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=!0,d=new ii(m,"max",f),h=e.runWebGLProgram(d,[a],a.dtype),g=new JC(m),x=e.runWebGLProgram(g,[o,h],a.dtype);return e.disposeIntermediateTensorInfo(h),x}var E3={kernelName:Vp,backendName:"webgl",kernelFunc:Wnt};function A3(r,t,e,n){let o=new ii(e,"max",!1),s=n.runWebGLProgram(o,[r],"float32");o=new ii(e,"max",!0,!0,t);let i=n.runWebGLProgram(o,[r],"float32");return[s,i]}var $3={kernelName:Wp,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;y.assert(n.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${n.shape.length}.`);let l=[1,1];y.assert(S.eitherStridesOrDilationsAreOne(s,l),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${l}'`);let c=S.computePool2DInfo(n.shape,o,s,l,i),[p,m]=A3(n,a,c,u);return[p,m]}};function D3(r,t,e,n){let o=y.sizeFromShape(t),i=y.sizeFromShape(r.shape)/o,a=lt({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Un(a,"float32","mean",n),l=lt({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}var R3={kernelName:xs,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=y.parseAxisParam(s,n.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=i.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let C=i.texData.get(d.dataId).values,T=new Array(a);for(let D=0;D<T.length;D++)T[D]=n.shape[c[D]];let E=Xc(C,n.shape,n.dtype,c,T);d=i.makeTensorInfo(T,n.dtype);let $=i.texData.get(d.dataId);$.values=E}else d=$u(n,c,i);f.push(d),l=S.getInnerMostAxes(l.length,a)}S.assertAxesAreInnerMostDims("sum",l,a);let[h,g]=S.computeOutAndReduceShapes(d.shape,l),x=h;o&&(x=S.expandShapeToKeepDim(h,u));let b=D3(d,g,x,i);for(let w of f)i.disposeIntermediateTensorInfo(w);return b}};function Unt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=y.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Le({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,o.shape.length)),S.assertAxesAreInnerMostDims("min",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=y.sizeFromShape(f),h=lt({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,"min",e),x;if(i){let b=S.expandShapeToKeepDim(m,u);x=lt({inputs:{x:g},backend:e,attrs:{shape:b}})}else x=lt({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),x}var F3={kernelName:ys,backendName:"webgl",kernelFunc:Unt};var Hnt=nC+`
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return min(a, b);
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`,qnt=`
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vec4 result = vec4(min(a, b));
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
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`+Au+`
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return result;
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`,Knt=ce({opSnippet:Hnt,packedOpSnippet:qnt,cpuKernelImpl:LL}),O3={kernelName:bs,backendName:"webgl",kernelFunc:Knt};var tv=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=Wt(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=`
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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}));
}
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`}};var ev=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=Wt(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=`
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${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.);
${f}
setOutput(result);
}
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`}};var jnt=({inputs:r,backend:t,attrs:e})=>{let{x:n}=r,{paddings:o,mode:s}=e,i=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new ev(n.shape,o,s):new tv(n.shape,o,s);return t.runWebGLProgram(i,[n],n.dtype)},P3={kernelName:ws,backendName:"webgl",kernelFunc:jnt};var Xnt=`if (b == 0.0) return NAN;
return mod(a, b);`,Ynt=`
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vec4 result = mod(a, b);
vec4 isNaN = vec4(equal(b, vec4(0.0)));
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`+Au+`
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return result;
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`,Znt=ce({opSnippet:Xnt,packedOpSnippet:Ynt}),L3={kernelName:$a,backendName:"webgl",kernelFunc:Znt};var rv=class{constructor(t,e,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[t,n],this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
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float r = random(seed);
float cdf = 0.0;
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for (int i = 0; i < ${e-1}; i++) {
cdf += getProbs(batch, i);
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if (r < cdf) {
setOutput(float(i));
return;
}
}
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// If no other event happened, last event happened.
setOutput(float(${e-1}));
}
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`}};var Jnt=`
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if (a == b) {
return 1.0;
};
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return a / b;`,Qnt=`
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// vec4 one = vec4(equal(a, b));
// return one + (vec4(1.0) - one) * a / b;
vec4 result = a / b;
if(a.x == b.x) {
result.x = 1.;
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}
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if(a.y == b.y) {
result.y = 1.;
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}
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if(a.z == b.z) {
result.z = 1.;
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}
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if(a.w == b.w) {
result.w = 1.;
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}
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return result;
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`,Fk=ce({opSnippet:Jnt,packedOpSnippet:Qnt,checkOutOfBounds:!0}),M3={kernelName:ss,backendName:"webgl",kernelFunc:Fk};var z3="return a - b;",Ok=ce({opSnippet:z3,packedOpSnippet:z3,supportsComplex:!0,cpuKernelImpl:eM}),B3={kernelName:Bs,backendName:"webgl",kernelFunc:Ok};function Pk(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=y.parseAxisParam([s],o.shape),a=Rk({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),u=S.expandShapeToKeepDim(a.shape,i),l=lt({inputs:{x:a},backend:e,attrs:{shape:u}}),c=Ok({inputs:{a:o,b:l},backend:e}),p=Ak({inputs:{x:c},backend:e}),m=Zc({inputs:{x:p},backend:e,attrs:{axis:i,keepDims:!1}}),f=lt({inputs:{x:m},backend:e,attrs:{shape:u}}),d=Fk({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 V3={kernelName:Ms,backendName:"webgl",kernelFunc:Pk};function tot(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n,u=a?o:Pk({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new rv(l,c,s),m=[[i]],f=e.runWebGLProgram(p,[u],"int32",m);return a||e.disposeIntermediateTensorInfo(u),f}var G3={kernelName:Up,backendName:"webgl",kernelFunc:tot};var eot=fr+`
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return -x;
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`,rot=`
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vec4 result = -x;
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
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`;function not(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])){let s=e.texData.get(n.dataId),[i,a]=zL(s.values,n.shape,n.dtype);return e.makeTensorInfo(a,n.dtype,i)}let o;return B().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new ro(n.shape,rot):o=new Zr(n.shape,eot),e.runWebGLProgram(o,[n],n.dtype)}var W3={kernelName:gi,backendName:"webgl",kernelFunc:not};var oot=Vr.nonMaxSuppressionV3Impl;function sot(r){S.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}=oot(l,c,i,a,u);return e.makeTensorInfo([p.length],"int32",new Int32Array(p))}var U3={kernelName:Ra,backendName:"webgl",kernelFunc:sot};var iot=Vr.nonMaxSuppressionV4Impl;function aot(r){S.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}=iot(c,p,i,a,u,l);return[e.makeTensorInfo([m.length],"int32",new Int32Array(m)),e.makeTensorInfo([],"int32",new Int32Array([f]))]}var H3={kernelName:Fa,backendName:"webgl",kernelFunc:aot};var lot=Vr.nonMaxSuppressionV5Impl;function uot(r){S.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:x}=lot(c,p,m,f,d,h);return[e.makeTensorInfo([g.length],"int32",new Int32Array(g)),e.makeTensorInfo([x.length],"float32",new Float32Array(x))]}var q3={kernelName:Oa,backendName:"webgl",kernelFunc:uot};var nv=class{constructor(t,e,n,o){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode=`
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void main() {
ivec2 coords = getOutputCoords();
int index = round(getIndices(coords.x));
setOutput(mix(float(${o}), float(${n}),
float(index == coords.y)));
}
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`}};var cot=r=>{let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{dtype:s,depth:i,onValue:a,offValue:u}=n,l=y.sizeFromShape(o.shape),c=new nv(l,i,a,u),p=lt({inputs:{x:o},backend:e,attrs:{shape:[l]}}),m=e.runWebGLProgram(c,[p],s);e.disposeIntermediateTensorInfo(p);let f=[...o.shape,i],d=lt({inputs:{x:m},backend:e,attrs:{shape:f}});return e.disposeIntermediateTensorInfo(m),d},K3={kernelName:vs,backendName:"webgl",kernelFunc:cot};function dg(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype==="complex64"){let o=bl({inputs:{input:n},backend:e}),s=dg({inputs:{x:o},backend:e}),i=Qc({inputs:{input:n},backend:e}),a=dg({inputs:{x:i},backend:e}),u=An({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return wl({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:e})}var j3={kernelName:Ti,backendName:"webgl",kernelFunc:dg};function X3(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=bl({inputs:{input:n},backend:e}),s=X3({inputs:{x:o},backend:e}),i=Qc({inputs:{input:n},backend:e}),a=dg({inputs:{x:i},backend:e}),u=An({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return wl({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:e})}var Y3={kernelName:xi,backendName:"webgl",kernelFunc:X3};function pot(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return VC({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{y.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),y.assert(i===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let a=[],u=t.map(c=>{let p=VC({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=Ek({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var Z3={kernelName:yi,backendName:"webgl",kernelFunc:pot};var ov=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=Wt(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=`
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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}));
}
}
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`}};var sv=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=Wt(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;
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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);
}
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`}};var Lk=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;if(y.sizeFromShape(o.shape)===0){let l=s.map((c,p)=>c[0]+o.shape[p]+c[1]);return wl({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}let a=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new sv(o.shape,s,i):new ov(o.shape,s,i),u=[[i]];return e.runWebGLProgram(a,[o],o.dtype,u)},J3={kernelName:Is,backendName:"webgl",kernelFunc:Lk};var mot=`
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if(a < 0.0 && floor(b) < b){
return NAN;
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}
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if (b == 0.0) {
return 1.0;
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}
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return (round(mod(b, 2.0)) != 1) ?
pow(abs(a), b) : sign(a) * pow(abs(a), b);
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`,fot=`
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// isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));
vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);
vec4 result = multiplier * pow(abs(a), b);
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// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
bvec4 isExpZero = equal(b, vec4(0.0));
result.r = isExpZero.r ? 1.0 : result.r;
result.g = isExpZero.g ? 1.0 : result.g;
result.b = isExpZero.b ? 1.0 : result.b;
result.a = isExpZero.a ? 1.0 : result.a;
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vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));
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`+Au+`
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return result;
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`,dot=ce({opSnippet:mot,packedOpSnippet:fot}),Q3={kernelName:Ss,backendName:"webgl",kernelFunc:dot};function hot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=[],l=y.parseAxisParam(s,o.shape),c=l,p=S.getAxesPermutation(c,a),m=o;p!=null&&(m=Le({inputs:{x:o},backend:e,attrs:{perm:p}}),c=S.getInnerMostAxes(c.length,a),u.push(m)),S.assertAxesAreInnerMostDims("prod",c,a);let f;if(e.shouldExecuteOnCPU([m])){let d=e.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:x}=VL(m.shape,m.dtype,d,c);f=e.makeTensorInfo(g,x,h)}else{let[d,h]=S.computeOutAndReduceShapes(m.shape,c),g=y.sizeFromShape(h),x=lt({inputs:{x:m},backend:e,attrs:{shape:[-1,g]}}),b=Xu(o.dtype),w=Un(x,b,"prod",e);f=lt({inputs:{x:w},backend:e,attrs:{shape:d}}),u.push(x),u.push(w)}if(i){u.push(f);let d=S.expandShapeToKeepDim(f.shape,l);f=lt({inputs:{x:f},backend:e,attrs:{shape:d}})}return u.forEach(d=>e.disposeIntermediateTensorInfo(d)),f}var tB={kernelName:Ns,backendName:"webgl",kernelFunc:hot};function got(r){let{inputs:t,backend:e,attrs:n}=r,{shape:o,values:s,defaultValue:i,rowPartitionTensors:a}=t,{rowPartitionTypes:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),p=e.readSync(i.dataId),m=a.map(g=>e.readSync(g.dataId)),f=a.map(g=>g.shape),[d,h]=GL(l,o.shape,c,s.shape,s.dtype,p,i.shape,m,f,u);return e.makeTensorInfo(d,s.dtype,h)}var eB={kernelName:Hp,backendName:"webgl",kernelFunc:got};var Mk=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=WL(n,o,s,i);return t.makeTensorInfo([a.length],i,a)},rB={kernelName:Fl,backendName:"webgl",kernelFunc:Mk};var xot="return 1.0 / x;",yot=It({opSnippet:xot}),nB={kernelName:Pa,backendName:"webgl",kernelFunc:yot};var bot=fr+`
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return (x < 0.0) ? 0.0 : x;
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`,wot=`
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vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
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result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
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return result;
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`,Cot=It({opSnippet:bot,packedOpSnippet:wot}),oB={kernelName:ks,backendName:"webgl",kernelFunc:Cot};var vot=fr+`
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return (x < 0.0) ? 0.0 : min(6.0, x);
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`,Iot=`
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vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
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return result;
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`,Sot=It({opSnippet:vot,packedOpSnippet:Iot}),sB={kernelName:As,backendName:"webgl",kernelFunc:Sot};var iv=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=`
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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 av=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=`
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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 Tot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=B().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new av(o.shape,u,l,s,i):new iv(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],"float32")}var iB={kernelName:Es,backendName:"webgl",kernelFunc:Tot};var lv=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=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
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float accumulator = 0.0;
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const float heightScale = float(${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 Not(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new lv(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var aB={kernelName:jp,backendName:"webgl",kernelFunc:Not};var uv=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=`
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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);
}
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`}};var cv=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=`
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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 < ${n-1};
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vec4 newValue = vec4(
getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),
hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);
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setOutput(newValue);
}
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`}};function kot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=B().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new cv(o.shape,u,l,s,i):new uv(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],o.dtype)}var lB={kernelName:_s,backendName:"webgl",kernelFunc:kot};var pv=class{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode=`
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void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
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float accumulator = 0.0;
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const float heightScale = float(${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),
${n} ? float(round(sourceFracCol)) :
float(floor(sourceFracCol))));
if (r == sourceNearestRow && c == sourceNearestCol) {
accumulator += getDy(b, dyR, dyC, d);
}
}
}
// End loop over dy
setOutput(accumulator);
}
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`}};function _ot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new pv(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var uB={kernelName:Kp,backendName:"webgl",kernelFunc:_ot};var mv=class{constructor(t,e){this.variableNames=["x"];let n=t.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=t,n===1){this.userCode=`
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void main() {
int coord = getOutputCoords();
setOutput(getX(${t[0]} - coord - 1));
}
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`;return}let o=a=>e.indexOf(a)!==-1&&t[a]!==1?`${t[a]} - coords[${a}] - 1`:`coords[${a}]`,s=t.map((a,u)=>o(u)).join(","),i=Wt(n);this.userCode=`
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void main() {
${i} coords = getOutputCoords();
setOutput(getX(${s}));
}
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`}};var fv=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 < ${this.outputShape[n-2]}`,a=Wt(n);n===1?this.userCode=`
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void main(){
int rc = getOutputCoords();
vec4 result = vec4(0.);
result.r = getChannel(getX(${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 = ${p(o.slice())};
}
}
setOutput(result);
}
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`;function u(d){return m(d)}function l(d){return d[n-1]="("+d[n-1]+" + 1)",m(d)}function c(d){return d[n-2]="("+d[n-2]+" + 1)",m(d)}function p(d){return d[n-1]="("+d[n-1]+" + 1)",d[n-2]="("+d[n-2]+" + 1)",m(d)}function m(d){let h=t.map((b,w)=>f(w,d)),g=h.join(","),x=h.slice(-2).join(",");return`getChannel(getX(${g}), vec2(${x}))`}function f(d,h){return e.indexOf(d)!==-1&&t[d]!==1?`${t[d]} - ${h[d]} - 1`:`${h[d]}`}}};function Eot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=o.shape.length,a=y.parseAxisParam(s,o.shape);if(i===0)return er({inputs:{x:o},backend:e});let u=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new fv(o.shape,a):new mv(o.shape,a);return e.runWebGLProgram(u,[o],o.dtype)}var cB={kernelName:$s,backendName:"webgl",kernelFunc:Eot};var dv=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 = ${e.toFixed(2)};`:s=`
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vec3 fill = vec3(${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 < ${n}) {
outputValue = getImage(coords[0], coordY, coordX, coords[3]);
}
setOutput(outputValue);
}
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`}};var pB={kernelName:qa,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=new dv(n.shape,s),[l,c]=S.getImageCenter(i,n.shape[1],n.shape[2]),p=[[l,c,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(u,[n],n.dtype,p)}};var Aot=`
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// OpenGL ES does not support round function.
// The algorithm is based on banker's rounding.
float base = floor(x);
if ((x - base) < 0.5) {
return floor(x);
} else if ((x - base) > 0.5) {
return ceil(x);
} else {
if (mod(base, 2.0) == 0.0) {
return base;
} else {
return base + 1.0;
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}
}
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`,$ot=It({opSnippet:Aot}),mB={kernelName:Ds,backendName:"webgl",kernelFunc:$ot};var Dot="return inversesqrt(x);",Rot=It({opSnippet:Dot,cpuKernelImpl:UL}),fB={kernelName:Rs,backendName:"webgl",kernelFunc:Rot};var zd=class{constructor(t,e,n,o,s,i,a=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;let u=Wt(s.length),l=Wt(i.length),c="";n===1?c="i":n===2&&(c="i, j");let p=`getIndices(${c})`,m="";o===1?m="i":o===2&&(m="i, coords[1]");let f=`getUpdates(${m})`,d=e>1?"strides[j]":"strides";this.userCode=`
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${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)));
}
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`}};function Fot(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}=S.calculateShapes(s,o,i),m=[p/l,l];if(p===0)return e.makeTensorInfo(i,o.dtype);let f=lt({inputs:{x:o},backend:e,attrs:{shape:[u,a]}}),d=lt({inputs:{x:s},backend:e,attrs:{shape:[u,l]}}),h=e.makeTensorInfo([],"float32",new Float32Array([0])),g=new zd(u,a,f.shape.length,d.shape.length,c,m),x=e.runWebGLProgram(g,[d,f,h],d.dtype),b=lt({inputs:{x},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(x),e.disposeIntermediateTensorInfo(h),b}var dB={kernelName:La,backendName:"webgl",kernelFunc:Fot};var hv=class{constructor(t,e,n,o){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[t,n];let s="while (left < right) {",i=`for (int i = 0; i < ${Math.ceil(Math.log2(e+1))}; ++i) { if (left >= right) break;`,a=B().getNumber("WEBGL_VERSION")===2?s:i,u=o==="left"?"<":"<=";this.userCode=`
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int findBound(int batch, float value) {
int left = 0;
int right = numInputs;
int mid;
${a}
mid = (left + right) / 2;
if (getSortedSequence(batch, mid) ${u} value) {
left = mid + 1;
} else {
right = mid;
}
}
return right;
}
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int valueIndex = coords[1];
float value = getValues(batch, valueIndex);
setOutput(float(findBound(batch, value)));
}
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`}};function Oot(r){let{inputs:t,backend:e,attrs:n}=r,{sortedSequence:o,values:s}=t,{side:i}=n,a=new hv(o.shape[0],o.shape[1],s.shape[1],i),u=[[o.shape[1]]];return e.runWebGLProgram(a,[o,s],"int32",u)}var hB={kernelName:Xp,backendName:"webgl",kernelFunc:Oot};var gv=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=Wt(n);this.userCode=`
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void main() {
${i} resRC = getOutputCoords();
float cVal = getC(${o});
if (cVal >= 1.0) {
setOutput(getA(${s}));
} else {
setOutput(getB(${s}));
}
}
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`}};function Pot(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=new gv(n.shape.length,o.shape,o.shape.length);return e.runWebGLProgram(i,[n,o,s],ir(o.dtype,s.dtype))}var gB={kernelName:wi,backendName:"webgl",kernelFunc:Pot};var Lot=`
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// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
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float scaleAlpha = ${S.SELU_SCALEALPHA};
float scale = ${S.SELU_SCALE};
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return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
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`,Mot=It({opSnippet:Lot}),xB={kernelName:Ma,backendName:"webgl",kernelFunc:Mot};var zot=Oo+`
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return 1.0 / (1.0 + exp(-1.0 * x));
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`,Bot=`
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vec4 result = 1.0 / (1.0 + exp(-1.0 * x));
bvec4 isNaN = isnan(x);
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result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
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return result;
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`,Vot=It({opSnippet:zot,packedOpSnippet:Bot,cpuKernelImpl:qL}),yB={kernelName:Os,backendName:"webgl",kernelFunc:Vot};var Got=`
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if (isnan(x)) { return 0.0; }
return sign(x);
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`,Wot=It({opSnippet:Got}),bB={kernelName:Ba,backendName:"webgl",kernelFunc:Wot};var Uot=Oo+`
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return sin(x);
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`,Hot=It({opSnippet:Uot}),wB={kernelName:Fs,backendName:"webgl",kernelFunc:Hot};var qot=`
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float e2x = exp(x);
return (e2x - 1.0 / e2x) / 2.0;
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`,Kot=It({opSnippet:qot}),CB={kernelName:za,backendName:"webgl",kernelFunc:Kot};var jot=`
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float epsilon = 1.1920928955078125e-7;
float threshold = log(epsilon) + 2.0;
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bool too_large = x > -threshold;
bool too_small = x < threshold;
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float result;
float exp_x = exp(x);
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if (too_large){
result = x;
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}
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else if (too_small){
result = exp_x;
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}
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else{
result = log(exp_x + 1.0);
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}
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return result;
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`,Xot=It({opSnippet:jot}),vB={kernelName:Va,backendName:"webgl",kernelFunc:Xot};var Yot=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n;y.assert(o.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let a=s.reduce((x,b)=>x*b),u=[[0,0]];u.push(...i);for(let x=1+s.length;x<o.shape.length;++x)u.push([0,0]);let l=[],c=Lk({inputs:{x:o},backend:e,attrs:{paddings:u,constantValue:0}}),p=S.getReshaped(c.shape,s,a,!1),m=S.getPermuted(p.length,s.length,!1),f=S.getReshapedPermuted(c.shape,s,a,!1),d=lt({inputs:{x:c},backend:e,attrs:{shape:p}}),h=Le({inputs:{x:d},backend:e,attrs:{perm:m}}),g=lt({inputs:{x:h},backend:e,attrs:{shape:f}});return l.push(c),l.push(d),l.push(h),l.forEach(x=>e.disposeIntermediateTensorInfo(x)),g},IB={kernelName:vi,backendName:"webgl",kernelFunc:Yot};function Zot(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:
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${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:
${o.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw:
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${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]=jL(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 SB={kernelName:Ol,backendName:"webgl",kernelFunc:Zot};function Jot(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 ${s.shape}`);let i=Array.from(e.readSync(o.dataId)),a=e.readSync(n.dataId),u=Array.from(e.readSync(s.dataId)),[l,c,p]=XL(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var TB={kernelName:Ga,backendName:"webgl",kernelFunc:Jot};function Qot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape
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${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
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${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=Jw(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var NB={kernelName:Pl,backendName:"webgl",kernelFunc:Qot};function tst(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error(`Indices should be a vector but received shape
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${o.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
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${s.shape}`);let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=Jw(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var kB={kernelName:Ll,backendName:"webgl",kernelFunc:tst};function est(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1;if(s.dtype==="string"){let x=e.bufferSync(o),b=e.bufferSync(s),w=y.decodeString(e.readSync(i.dataId)[0]),C=HL(x,b,a,m,c,l,u,p,w,f);return e.makeTensorInfo(a,C.dtype,C.values)}let d=new zd(l,u,o.shape.length,s.shape.length,p,[m,1],f),h=e.runWebGLProgram(d,[s,o,i],s.dtype),g=lt({inputs:{x:h},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(h),g}var _B={kernelName:Yp,backendName:"webgl",kernelFunc:est};function rst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=y.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=o.shape.length,c=new Array(l).fill(0),p=o.shape.slice();return u.map(m=>{let f=[...p];f[a]=m;let d=ai({inputs:{x:o},backend:e,attrs:{begin:c,size:f}});return c[a]+=m,d})}var EB={kernelName:Ii,backendName:"webgl",kernelFunc:rst};var AB="return sqrt(x);",nst=It({opSnippet:AB,packedOpSnippet:AB,cpuKernelImpl:YL}),$B={kernelName:Ps,backendName:"webgl",kernelFunc:nst};var ost="return x * x;",sst=It({opSnippet:ost}),DB={kernelName:Ml,backendName:"webgl",kernelFunc:sst};var RB="return (a - b) * (a - b);",ist=ce({opSnippet:RB,packedOpSnippet:RB}),FB={kernelName:zs,backendName:"webgl",kernelFunc:ist};function ast({inputs:r,attrs:t,backend:e}){let{x:n}=r,o=fr+`
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return x > 0.0 ? 1.0 : float(${t.alpha});
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`,s=new Zr(n.shape,o);return e.runWebGLProgram(s,[n],n.dtype)}var OB={kernelName:co,backendName:"webgl",kernelFunc:ast};var xv=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=n;let o=n.length,s=Wt(n.length),i=Wt(n.length),a="";if(o===1)a="coords * strides + begin";else{let u=0;a=n.map((l,c)=>(u++,n.length===1?`coords * strides[${c}] + begin[${c}]`:`coords[${u-1}] * strides[${c}] + begin[${c}]`)).join(",")}this.userCode=`
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${s} begin = ${s}(${t});
${s} strides = ${s}(${e});
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void main() {
${i} coords = getOutputCoords();
setOutput(getX(${a}));
}
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`}};function lst(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:x,begin:b,end:w,strides:C}=Be.sliceInfo(o.shape,s,i,a,u,l,c,p,m),T;if(h)T=lt({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let $=Be.computeOutShape(b,w,C),D=ai({inputs:{x:o},backend:e,attrs:{begin:b,size:$}});T=lt({inputs:{x:D},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo(D)}else if(e.shouldExecuteOnCPU([o])){let D=e.readSync(o.dataId),P=vt(o.shape,o.dtype,D),M=ZL(f,P,C,b);T=e.makeTensorInfo(d,o.dtype,M.values)}else{let D=new xv(b,C,f);T=e.runWebGLProgram(D,[o],o.dtype)}let E=lt({inputs:{x:T},backend:e,attrs:{shape:d}});return e.disposeIntermediateTensorInfo(T),E}var PB={kernelName:Wa,backendName:"webgl",kernelFunc:lst};function ust(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]=JL(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var LB={kernelName:zl,backendName:"webgl",kernelFunc:ust};function cst(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]=QL(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 MB={kernelName:Bl,backendName:"webgl",kernelFunc:cst};function pst(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=tM(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var zB={kernelName:Vl,backendName:"webgl",kernelFunc:pst};var mst="return tan(x);",fst=It({opSnippet:mst}),BB={kernelName:Vs,backendName:"webgl",kernelFunc:fst};var dst=`
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float e2x = exp(-2.0 * abs(x));
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
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`,hst=It({opSnippet:dst}),VB={kernelName:Gs,backendName:"webgl",kernelFunc:hst};var yv=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=Wt(this.rank),s=gst(t);this.userCode=`
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void main() {
${o} resRC = getOutputCoords();
setOutput(getA(${s}));
}
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`}};function gst(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 zk(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=>y.decodeString(m)):u,c=vt(o.shape,o.dtype,l),p=rM(c,s);return e.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new yv(o.shape,s);return e.runWebGLProgram(i,[o],o.dtype)}var GB={kernelName:Xn,backendName:"webgl",kernelFunc:zk};var bv=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=`
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void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int elemIdx = coords[1];
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// We compare elements pair-wise within a group of size 2 * inc.
// The comparing rule for each group alternates between ascending
// and descending. Within each group, we compare each pair at
// positions i and i+inc. To decide whether an element at position i
// is x0 or x1, we mod it by 2 * inc, if the result is smaller than
// inc, it is in the first half of the group, we denote it as x0,
// otherwise we denote it as x1.
// For example, as shown in the Bitonic top K paper referenced above,
// Figure5(a) shows that element[1] is in the
// second half of the group when group size is 2, but it is in the
// first half of the group when group size is 4.
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bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;
int i = isFirstInPair ? elemIdx : elemIdx - inc;
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int i0 = firstPass == 1 ? i : int(getIndices(batch, i));
int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));
float x0 = i0 < n ? getX(batch, i0) : negativeInf;
float x1 = i1 < n ? getX(batch, i1) : negativeInf;
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// Denotes which direction indices are in (ascending or descending).
bool reverse = imod(elemIdx, 2 * dir) >= dir;
bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);
if (reverse == isGreater) { // Elements in opposite order of direction
int iTemp = i0;
i0 = i1;
i1 = iTemp;
}
if (isFirstInPair) {
setOutput(float(i0));
} else {
setOutput(float(i1));
}
}
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`}},wv=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=`
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void main() {
// Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...
ivec2 coords = getOutputCoords();
int batch = coords[0];
int elemIdx = coords[1];
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// The output size is half of the previous size.
// If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),
// we only need to output the indices at positions |, the indices at
// positions _ can be thrown away, see Figure5(b) After Phase 2
// (Merge phase) in the Bitonic Top K paper referenced above.
// For example, the paper shows we only need to output the orange bars.
// The output sequence should look like this | | | | | | | |.
// Because the sequence is halved, to map the output index back
// to the previous sequence to find the corresponding value,
// we need to double the index. When we double the index,
// we basically interpolate a position, so 2i looks like
// | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position
// of each 2k positions by - elemIdx % k. E.g. for output at
// index 4,5,6,7, we want to get the corresponding element at
// original index 8,9,10,11, for output at index 8,9,10,11,
// we want to get the corresponding element at original index
// 16,17,18,19, so on and so forth.
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int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));
int i0 = firstPass == 1 ? i : int(getIndices(batch, i));
int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));
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float x0 = getX(batch, i0);
float x1 = i1 < n ? getX(batch, i1) : x0;
setOutput(x0 >= x1 ? float(i0) : float(i1));
}
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`}};function ep(r,t){t!==null&&r.disposeIntermediateTensorInfo(t)}function WB(r){let t=1;for(;t<r;)t*=2;return t}function xst(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted:i}=n,a=B().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),u=B().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,H]=nM(M,l,o.dtype,s,i);return[e.makeTensorInfo(W.shape,W.dtype,W.values),e.makeTensorInfo(H.shape,H.dtype,H.values)]}if(s===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,"int32",[])];if(c===1)return[o,wl({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=y.sizeFromShape(l)/c,g=lt({inputs:{x:f},attrs:{shape:[h,c]},backend:e});m&&ep(e,f);let x=WB(s),b=WB(c),w=null,C=()=>w===null?[g,g]:[g,w],T=(M,W,H)=>{let q=C(),X=new bv(H),Z=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[M],[W]],et=w;w=e.runWebGLProgram(X,q,"int32",Z),ep(e,et)};for(let M=1;M<x;M*=2){let W=M*2;for(let H=M;H>=1;H/=2)T(W,H,[h,b])}for(let M=b;M>x;M/=2){let W=C(),H=new wv([h,M/2]),X=[[c],[w===null?1:0],[x]],j=w;w=e.runWebGLProgram(H,W,"int32",X),ep(e,j);let Z=x/2,et=Z*2;for(let K=Z;K>=1;K/=2)T(et,K,w.shape)}let E=w;w=ai({inputs:{x:w},backend:e,attrs:{begin:0,size:[h,s]}}),ep(e,E);let $=Dk({inputs:{x:g,indices:w},backend:e,attrs:{axis:1,batchDims:1}});ep(e,g);let D=l.slice(0,-1);D.push(s),E=w,w=lt({inputs:{x:w},attrs:{shape:D},backend:e}),ep(e,E);let P=$;return $=lt({inputs:{x:$},attrs:{shape:D},backend:e}),ep(e,P),[$,w]}var UB={kernelName:Ua,backendName:"webgl",kernelFunc:xst};var Cv=class{constructor(t,e,n,o,s,i){this.variableNames=["Image","Transforms"],this.outputShape=i;let a=n==="nearest"?1:2,u;switch(o){case"constant":u=1;break;case"reflect":u=2;break;case"wrap":u=3;break;case"nearest":u=4;break;default:u=1;break}this.userCode=`
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float mapCoord(float outCoord, float len) {
float inCoord = outCoord;
if(${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);
}
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`}};function yst(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],x=new Cv(p,m,i,a,u,g);return e.runWebGLProgram(x,[o,s],"float32")}var HB={kernelName:Ha,backendName:"webgl",kernelFunc:yst};function bst(r){let{inputs:t,attrs:e,backend:n}=r,{axis:o}=e,{x:s}=t;oi(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}=oM(i,o,s.shape,s.dtype);return[n.makeTensorInfo(u,s.dtype,a),n.makeTensorInfo([l.length],"int32",l)]}var qB={kernelName:Zp,backendName:"webgl",kernelFunc:bst};function wst(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=ai({inputs:{x:i},backend:e,attrs:{begin:m,size:f}}),x=lt({inputs:{x:g},backend:e,attrs:{shape:l}});d[h]=x,p.push(g)}return p.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}var KB={kernelName:Si,backendName:"webgl",kernelFunc:wst};var vv=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=`
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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 Cst(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=S.getAxesPermutation([l],a),p=o;c!=null&&(p=Le({inputs:{x:o},backend:e,attrs:{perm:c}}),u.push(p),l=S.getInnerMostAxes(1,a)[0]);let m=S.segment_util.computeOutShape(p.shape,l,i),f=y.sizeFromShape([p.shape[l]]),d=lt({inputs:{x:p},backend:e,attrs:{shape:[-1,f]}});u.push(d);let h=Xu(o.dtype),g=(C,T,E,$,D)=>{let P=C.shape[0],M=C.shape[1],W=S.segment_util.segOpComputeOptimalWindowSize(M,D),H={windowSize:W,inSize:M,batchSize:P,numSegments:D},q=new vv(H,T),X=e.compileAndRun(q,[C,E],$);if(u.push(X),X.shape[1]===D)return X;let j=Mk({backend:e,attrs:{start:0,stop:D,step:1,dtype:"float32"}}),Z=zk({inputs:{x:j},backend:e,attrs:{reps:[M/W]}});return u.push(j),u.push(Z),g(X,T,Z,$,D)},x=g(d,"unsortedSegmentSum",s,h,i),b=lt({inputs:{x},backend:e,attrs:{shape:m}}),w=b;if(c!=null){u.push(b);let C=S.getUndoAxesPermutation(c);w=Le({inputs:{x:w},backend:e,attrs:{perm:C}})}return u.forEach(C=>e.disposeIntermediateTensorInfo(C)),w}var jB={kernelName:Gl,backendName:"webgl",kernelFunc:Cst};var vst=[OM,LM,MM,zM,VM,GM,WM,UM,KM,jM,XM,YM,ZM,JM,QM,tz,ez,rz,nz,oz,sz,az,lz,uz,fz,hz,gz,IM,yz,wz,Cz,vz,Iz,Sz,Tz,Nz,kz,_z,Ez,Dz,Rz,Fz,Oz,Pz,Lz,Mz,zz,Bz,Vz,Gz,Wz,Uz,Hz,qz,Kz,Xz,Yz,Zz,Jz,t3,e3,r3,n3,o3,s3,i3,a3,l3,vM,u3,bz,c3,p3,m3,SM,f3,d3,h3,g3,x3,y3,b3,w3,C3,v3,S3,T3,N3,k3,_3,E3,$3,R3,F3,O3,P3,L3,G3,EM,W3,U3,H3,q3,cz,K3,Y3,Z3,J3,Q3,TM,tB,eB,rB,pz,M3,nB,oB,sB,$M,iB,aB,lB,uB,cB,pB,mB,fB,dB,hB,gB,xB,yB,bB,wB,CB,iz,V3,vB,IB,SB,TB,NB,kB,_B,EB,$B,DB,FB,OB,PB,LB,MB,zB,B3,RM,BB,VB,GB,UB,HB,FM,qB,KB,jB,j3];for(let r of vst)Wu(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 Ru;(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"})(Ru||(Ru={}));var XB;function Ist(r){XB=r.wasm.cwrap(Ni,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Sst(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 D=e.dataIdMap.get(i.dataId);if(D.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${D.shape.length}.`);d=D.id}let h=a==null?0:e.dataIdMap.get(a.dataId).id,g=Ru[c];if(g==null)throw new Error(`${c} activation not yet supported for FusedConv2D in the wasm backend.`);let x=u?o.shape[2]:o.shape[1],b=l?s.shape[1]:s.shape[2],w=Lr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)),C=e.makeOutput([...w,x,b],o.dtype),T=e.dataIdMap.get(C.dataId).id,E=new Uint8Array(new Int32Array(o.shape).buffer),$=new Uint8Array(new Int32Array(s.shape).buffer);return XB(m,E,o.shape.length,f,$,s.shape.length,u,l,g,d,h,p||0,T),C}var YB={kernelName:Ni,backendName:"wasm",setupFunc:Ist,kernelFunc:Sst};function ae(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 y.sizeFromShape(l.shape)===0||e(u,Zt[a.dtype],c),l}return{kernelName:r,backendName:"wasm",setupFunc:n,kernelFunc:o}}var ZB=ae(pi);function pe(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=S.assertAndGetBroadcastShape(l.shape,c.shape),h=a.makeOutput(d,f);if(y.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(l.shape).buffer),x=new Uint8Array(new Int32Array(c.shape).buffer),b=a.dataIdMap.get(h.
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${n.shape}`);if(o.shape.length!==1)throw new Error(`Input shape should be a vector but received shape
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${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=y.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;xW(i,a,u,l,m,d,g);let x=t.readSync(h.dataId),b;switch(x[0]){case 0:{b=S.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(x[1],x[2]);break}case 1:{b=S.getSparseReshapeNegativeOutputDimErrorMessage(x[1],x[2]);break}case 2:b=S.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let w=Array.from(t.readSync(o.dataId)),C=Array.from(t.readSync(f.dataId));b=S.getSparseReshapeInputOutputMultipleErrorMessage(w,C);break}case 4:{let w=Array.from(t.readSync(o.dataId)),C=Array.from(t.readSync(f.dataId));b=S.getSparseReshapeInputOutputMismatchErrorMessage(w,C);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 yW={kernelName:Ga,backendName:"wasm",setupFunc:_at,kernelFunc:Eat};var bW;function Tv(r){bW=r.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function Nv(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(S.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,x=e.makeOutput([4],"int32"),b=e.dataIdMap.get(x.dataId).id;bW(m,Zt[o.dtype],o.shape[0],f,d,g,b,t,0);let w=e.readSync(x.dataId),C;switch(w[0]){case 0:{C=S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{C=S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:C=S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:C=S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:C=""}if(e.disposeData(x.dataId),C)throw e.disposeData(h.dataId),new Error(C);return h}function Aat(r){return Nv(r,!0)}var wW={kernelName:Pl,backendName:"wasm",setupFunc:Tv,kernelFunc:Aat};function $at(r){return Nv(r,!1)}var CW={kernelName:Ll,backendName:"wasm",setupFunc:Tv,kernelFunc:$at};function Dat(r){let{inputs:t,attrs:e,backend:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=e,a=y.parseAxisParam(i,o.shape)[0],u=S.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=Po({inputs:{x:o},attrs:{begin:l,size:m},backend:n});return l[a]+=p,f})}var vW={kernelName:Ii,backendName:"wasm",kernelFunc:Dat};var IW=ae(Ps);var SW=ae(Ml);var Rat=!0,TW=pe(zs,Rat);var NW;function Fat(r){NW=r.wasm.cwrap(co,null,["number","number","number","number"])}function Oat(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 NW(i,o,Zt[s.dtype],u),a}var kW={kernelName:co,backendName:"wasm",setupFunc:Fat,kernelFunc:Oat};var _W;function Pat(r){_W=r.wasm.cwrap(Wa,null,["number","array","number","array","array","array","array","array","number","number"])}function Lat(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:x,begin:b,end:w,strides:C}=Be.sliceInfo(o.shape,s,i,a,u,l,c,p,m),T;if(h)T=lr({inputs:{x:o},backend:t,attrs:{shape:d}});else if(g||x){y.assert(o.shape.length>=1,()=>`Input must have rank at least 1, got: ${o.shape.length}`);let E=Be.computeOutShape(b,w,C),$=Po({inputs:{x:o},backend:t,attrs:{begin:b,size:E}});T=lr({inputs:{x:$},backend:t,attrs:{shape:d}}),t.disposeData($.dataId)}else{let E=t.makeOutput(f,"float32"),$=