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` )),h.join( `
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` )}function lk(e,t,n,s){const i=we(t),o=s[s.length-1],a=new Array(o).fill(0),c=t.length,h=n==="complex64"?Yl(e):e;if(c>1)for(let d=0;d<i/o;d++){const m=d*o;for(let y=0;y<o;y++)a[y]=Math.max(a[y],Vl(h[m+y],0,n).length)}return a}function Vl(e,t,n){let s;return Array.isArray(e)?s= ` $ { parseFloat ( e [ 0 ] . toFixed ( Uy ) ) } + $ { parseFloat ( e [ 1 ] . toFixed ( Uy ) ) } j ` :xr(e)?s= ` '${e}' ` :n==="bool"?s=Hx(e):s=parseFloat(e.toFixed(Uy)).toString(),bo(s,t)}function Hx(e){return e===0?"false":"true"}function yd(e,t,n,s,i,o=!0){const a=n==="complex64"?2:1,c=t[0],h=t.length;if(h===0){if(n==="complex64"){const T=Yl(e);return[Vl(T[0],0,n)]}return n==="bool"?[Hx(e[0])]:[e[0].toString()]}if(h===1){if(c>Yx){const A=Gl*a;let N=Array.from(e.slice(0,A)),E=Array.from(e.slice((c-Gl)*a,c*a));return n==="complex64"&&(N=Yl(N),E=Yl(E)),["["+N.map((D,F)=>Vl(D,i[F],n)).join(", ")+", ..., "+E.map((D,F)=>Vl(D,i[c-Gl+F],n)).join(", ")+"]"]}const T=n==="complex64"?Yl(e):Array.from(e);return["["+T.map((A,N)=>Vl(A,i[N],n)).join(", ")+"]"]}const d=t.slice(1),m=s.slice(1),y=s[0]*a,b=[];if(c>Yx){for(let T=0;T<Gl;T++){const A=T*y,N=A+y;b.push(...yd(e.slice(A,N),d,n,m,i,!1))}b.push("...");for(let T=c-Gl;T<c;T++){const A=T*y,N=A+y;b.push(...yd(e.slice(A,N),d,n,m,i,T===c-1))}}else for(let T=0;T<c;T++){const A=T*y,N=A+y;b.push(...yd(e.slice(A,N),d,n,m,i,T===c-1))}const w=h===2?",":"";b[0]="["+b[0]+w;for(let T=1;T<b.length-1;T++)b[T]=" "+b[T]+w;let L= ` ,
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Actual : $ { i } .
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Expected : $ { o } . ` );for(let a=0;a<o.length;++a){const c=i[a],h=o[a];if(!n(c,h))throw new Error( ` Arrays differ : actual [ $ { a } ] = $ { c } , expected [ $ { a } ] = $ { h } .
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Actual : $ { i } .
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Expected : $ { o } . ` )}}function AF(e,t){e().then(()=>t.fail(),()=>t())}function vF(e,t){const n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return xr(e)||xr(e[0])||xr(t)||xr(t[0])?ab(e,n,(s,i)=>s==i):ab(e,t,(s,i)=>lb(s,i,0))}function cb(e,t,n){if(n==null&&(n=Od()),!lb(e,t,n))throw new Error( ` Numbers differ : actual === $ { e } , expected === $ { t } ` )}function lb(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function NF(e,t,n){for(let s=0;s<e.length;s++)if(e[s]<t||e[s]>n)throw new Error( ` Value out of range : $ { e [ s ] } low : $ { t } , high : $ { n } ` )}function CF(e,t){expect(new Float32Array(e)).toEqual(new Float32Array(t))}var RF=Object.freeze({__proto__:null,TEST_EPSILON_FLOAT16:RT,expectArraysClose:TF,testEpsilon:Od,expectPromiseToFail:AF,expectArraysEqual:vF,expectNumbersClose:cb,expectValuesInRange:NF,expectArrayBuffersEqual:CF});const OT="2.6.0";function OF(){C().set("PROD",!0)}function EF(){C().set("DEBUG",!0)}function DF(){C().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function nn(e){C().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(e+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}dk(nn);function kF(){V.disposeVariables()}function _s(){return V}function Ed(){return V.memory()}function FF(e){return V.profile(e)}function ee(e,t){return V.tidy(e,t)}function He(e){const t=ji(e);t.forEach(n=>n.dispose())}function Cn(e){return V.keep(e)}function _F(e){return V.time(e)}function ET(e){return V.setBackend(e)}function WF(){return V.ready()}function $ F(){return V.backendName}function UF(e){V.removeBackend(e)}function BF(e){return V.findBackend(e)}function MF(e){return V.findBackendFactory(e)}function hb(e,t,n=1){return V.registerBackend(e,t,n)}function DT(){return V.backend}function PF(e,t){C().setPlatform(e,t)}function zF(e,t){let n=W(e,"a","add"),s=W(t,"b","add");[n,s]=Mt(n,s);const i=(a,c)=>{const h=a.add(n,s);return c([n,s]),h},o={a:n,b:s};return V.runKernelFunc(i,o,null,Te)}const be=P({add_:zF});function GF(e,t){let n=W(e,"a","floorDiv"),s=W(t,"b","floorDiv");[n,s]=Mt(n,s);const i=(a,c)=>{const h=a.floorDiv(n,s);return c([n,s]),h},o={a:n,b:s};return V.runKernelFunc(i,o,null,Yg)}const Dd=P({floorDiv_:GF});function VF(e,t){let n=W(e,"a","div"),s=W(t,"b","div");if([n,s]=Mt(n,s),n.dtype==="int32"&&s.dtype==="int32")return Dd(n,s);const i=(c,h)=>{const d=c.realDivide(n,s);return h([n,s]),d},o={a:n,b:s},a={};return V.runKernelFunc(i,o,null,wa,a)}const _e=P({div_:VF});function YF(e,t){let n=W(e,"a","mul"),s=W(t,"b","mul");[n,s]=Mt(n,s);const i=(a,c)=>{const h=a.multiply(n,s);return c([n,s]),h},o={a:n,b:s};return V.runKernelFunc(i,o,null,Al)}const X=P({mul_:YF});function HF(e){const t=W(e,"x","abs"),n={x:t};return V.runKernelFunc((s,i)=>(i([t]),t.dtype==="complex64"?s.complexAbs(t):s.abs(t)),n,null,ge)}const sn=P({abs_:HF});function qF(e){const t=W(e,"x","acos"),n={x:t};return V.runKernelFunc((s,i)=>{const o=s.acos(t);return i([t]),o},n,null,fe)}const ub=P({acos_:qF});function jF(e){const t=W(e,"x","acosh"),n={x:t};return V.runKernelFunc((s,i)=>{const o=s.acosh(t);return i([t]),o},n,null,Ae)}const db=P({acosh_:jF});function KF(e){k(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),k(e.length>=1,()=> ` Must pass at least one tensor to tf . addN ( ) , but got $ { e . length } ` );const t=e.map((o,a)=>W(o, ` tensors$ { a } ` ,"addN")),n=t[0];t.forEach(o=>{if(o.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(o=>{if(!ot(o.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});const s=(o,a)=>{const c=o.addN(t);return a(t),c},i=t;return V.runKernelFunc(s,i,null,Ve)}const kT=P({addN_:KF});function pb(e,t){for(let n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function FT(e,t,n){const s=e.length+t.length,i=[];let o=0,a=0;for(let c=0;c<s;c++)n.indexOf(c)===-1?i.push(e[o++]):i.push(t[a++]);return i}function Rn(e,t){const n=[],s=e.length;for(let o=0;o<s;o++)t.indexOf(o)===-1&&n.pu
with dtype $ { a . dtype } . ` )});const s=(a,c)=>{const h=gt(t,n[0].shape)[0],d=Er(n.map(b=>b.shape),h);if(we(d)===0)return en([],d);if(n=n.filter(b=>b.size>0),n.length===1)return n[0];const m=n.map(b=>b.shape);xb(m,h);const y=a.concat(n,h);return c(n),y},i=n,o={axis:t};return V.runKernelFunc(s,i,null,qu,o)}const Pt=P({concat_:u_});function d_(e){const t=W(e,"x","sigmoid"),n={x:t};return V.runKernelFunc((s,i)=>{const o=s.sigmoid(t);return i([o]),o},n,null,kl)}const Ni=P({sigmoid_:d_});function p_(e,t,n){const s=W(e,"x","slice");if(s.rank===0)throw new Error("Slicing scalar is not possible");const i=(c,h)=>{const[d,m]=Rd(s,t,n);return ib(s,d,m),h([s]),c.slice(s,d,m)},o={x:s},a={begin:t,size:n};return V.runKernelFunc(i,o,null,rd,a)}const nt=P({slice_:p_});function m_(e){const t=W(e,"x","tanh"),n={x:t};return V.runKernelFunc((s,i)=>{const o=s.tanh(t);return i([o]),o},n,null, $ l)}const Fa=P({tanh_:m_});function f_(e,t,n,s,i,o){const a=W(e,"forgetBias","basicLSTMCell"),c=W(t,"lstmKernel","basicLSTMCell"),h=W(n,"lstmBias","basicLSTMCell"),d=W(s,"data","basicLSTMCell"),m=W(i,"c","basicLSTMCell"),y=W(o,"h","basicLSTMCell"),b=Pt([d,y],1),w=at(b,c),L=be(w,h),T=L.shape[0],A=L.shape[1]/4,N=[T,A],E=nt(L,[0,0],N),D=nt(L,[0,A],N),F=nt(L,[0,A*2],N),_=nt(L,[0,A*3],N),B=be(X(Ni(E),Fa(D)),X(m,Ni(be(a,F)))), $ =X(Fa(B),Ni(_));return[B, $ ]}const g_=P({basicLSTMCell_:f_});function y_(e,t,n){const s=W(e,"x","batchToSpaceND"),i=t.reduce((h,d)=>h*d);k(s.rank>=1+t.length,()=> ` input rank is $ { s . rank } but should be > than blockShape . length $ { t . length } ` ),k(n.length===t.length,()=> ` crops . length is $ { n . length } but should be equal to blockShape . length $ { t . length } ` ),k(s.shape[0]%i===0,()=> ` input tensor batch is $ { s . shape [ 0 ] } but is not divisible by the product of the elements of blockShape $ { t . join ( " * " ) } === $ { i } ` );const o=h=>h.batchToSpaceND(s,t,n),a={x:s},c={blockShape:t,crops:n};return V.runKernelFunc(o,a,null,Wg,c)}const sh=P({batchToSpaceND_:y_});function b_(e){let t;return e.rank===0||e.rank===1?t=K(e,[1,1,1,e.size]):e.rank===2?t=K(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=K(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function w_(e,t,n,s,i,o){o==null&&(o=.001);const a=W(e,"x","batchNorm"),c=W(t,"mean","batchNorm"),h=W(n,"variance","batchNorm");let d;i!=null&&(d=W(i,"scale","batchNorm"));let m;s!=null&&(m=W(s,"offset","batchNorm")),k(c.rank===h.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),k(m==null||c.rank===m.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),k(d==null||c.rank===d.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");const y=b_(a),b=(A,N)=>(N([y,c,h,d]),A.batchNorm(y,Wd(c),Wd(h),Wd(m),Wd(d),o)),w={x:y,scale:d,offset:m,mean:c,variance:h},L={varianceEpsilon:o},T=V.runKernelFunc(b,w,null,gl,L);return K(T,a.shape)}function Wd(e){return e==null?null:e.rank===0?K(e,[e.size]):e.rank===1?e:e.rank===2?K(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?K(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}const No=P({batchNorm_:w_});function L_(e,t,n,s,i,o){const a=W(e,"x","batchNorm"),c=W(t,"mean","batchNorm"),h=W(n,"variance","batchNorm");let d;i!=null&&(d=W(i,"scale","batchNorm"));let m;return s!=null&&(m=W(s,"offset","batchNorm")),k(a.rank===2,()=> ` Error in batchNorm2D : x must be rank 2 but got rank $ { a . rank } . ` ),k(c.rank===2||c.rank===1,()=> ` Error in batchNorm2D : mean must be rank 2 or rank 1 but got rank $ { c . rank } . ` ),k(h.rank===2||h.rank===1,()=> ` Error in batchNorm2D : variance must be rank 2 or rank 1 but got rank $ { h . rank } . ` ),d!=null&&k(d.rank===2||d.rank===1,()=> ` Error in batchNorm2D : scale must be rank 2 or rank 1 but got rank $ { d . rank } . ` ),m!=null&&k(m.rank===2||m.rank===1,()=> ` Error in batchNorm2D : offset must be rank 2 or rank 1 but got rank $ { m . rank } . ` ),No(a,c,h,m,d,o)}const _T=P({batchNorm2d_:L_});function S_(e,t,n,s,i,o){const a=W(e,"x","batchNorm"),c=W(t,"mean","batchNorm"),h=W(n,"variance","batchNorm");let d;i!=null&&(d=W(i,"scale","batchNorm"));let m;return s!=null&&(m=W(s,"offset","batchNorm")),k(a.rank===3,()=> ` Error in b
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$ { i } and $ { t } for depthToSpace with input shape
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$ { s . shape } ` ),k(o*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
$ { o } and $ { t } for depthToSpace with input shape
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$ { s . shape } ` ),k(a%(t*t)===0,()=> ` Dimension size must be evenly divisible by $ { t * t } but is $ { a } for depthToSpace with input shape $ { s . shape } ` );const c=m=>m.depthToSpace(s,t,n),h={x:s},d={blockSize:t,dataFormat:n};return V.runKernelFunc(c,h,null,dx,d)}const Nb=P({depthToSpace_:P_});function z_(e,t,n,s,i="NHWC",o=[1,1],a){const c=W(e,"x","depthwiseConv2d"),h=W(t,"filter","depthwiseConv2d");let d=c,m=!1;c.rank===3&&(m=!0,d=K(c,[1,c.shape[0],c.shape[1],c.shape[2]])),k(d.rank===4,()=> ` Error in depthwiseConv2d : input must be rank 4 , but got rank $ { d . rank } . ` ),k(h.rank===4,()=> ` Error in depthwiseConv2d : filter must be rank 4 , but got rank $ { h . rank } . ` ),k(d.shape[3]===h.shape[2],()=> ` Error in depthwiseConv2d : number of input channels ( $ { d . shape [ 3 ] } ) must match the inChannels dimension in filter $ { h . shape [ 2 ] } . ` ),a!=null&&k(Bt(s),()=> ` Error in depthwiseConv2d : pad must be an integer when using , dimRoundingMode $ { a } but got pad $ { s } . ` );const y=(T,A)=>{o==null&&(o=[1,1]),k(rn(n,o),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { n } and dilations '${o}' ` );const N=vi(d.shape,h.shape,n,o,s,a,!0),E=T.depthwiseConv2D(d,h,N);return A([d,h]),E},b={x:d,filter:h},w={strides:n,pad:s,dataFormat:i,dilations:o,dimRoundingMode:a},L=V.runKernelFunc(y,b,null,Gg,w);return m?K(L,[L.shape[1],L.shape[2],L.shape[3]]):L}const Co=P({depthwiseConv2d_:z_});function G_(e){const t=W(e,"x","diag"),n=i=>{const o=K(t,[t.size]),a=i.diag(o),c=[...e.shape,...e.shape];return K(a,c)},s={x:t};return V.runKernelFunc(n,s,null,fx)}const V_=P({diag_:G_});function Y_(e,t,n,s,i=[1,1],o="NHWC"){const a=W(e,"x","dilation2d"),c=W(t,"filter","dilation2d");k(a.rank===3||a.rank===4,()=> ` Error in dilation2d : input must be rank 3 or 4 , but got rank $ { a . rank } . ` ),k(c.rank===3,()=> ` Error in dilation2d : filter must be rank 3 , but got rank $ { c . rank } . ` ),k(o==="NHWC",()=> ` Error in dilation2d : Only NHWC is currently supported , but got dataFormat of $ { o } ` );let h=a,d=!1;a.rank===3&&(h=K(a,[1,a.shape[0],a.shape[1],a.shape[2]]),d=!0);const m={x:h,filter:c},y={strides:n,pad:s,dilations:i},b=V.runKernel(ju,m,y);return d?K(b,[b.shape[1],b.shape[2],b.shape[3]]):b}const Cb=P({dilation2d_:Y_});function Ro(e,t){const n=e.length,s=[];for(let i=0;i<n;i++){const o=n-1-i,a=e[o]||1,c=t[t.length-1-i]||1;c>1&&a===1&&s.unshift(o)}return s}function on(e,t){const n=[];for(let s=0;s<t.length;s++){const i=e[e.length-s-1],o=t.length-s-1,a=t[o];(i==null||i===1&&a>1)&&n.unshift(o)}return n}function tt(e,t){const n=[],s=Math.max(e.length,t.length);for(let i=0;i<s;i++){let o=e[e.length-i-1];o==null&&(o=1);let a=t[t.length-i-1];if(a==null&&(a=1),o===1)n.unshift(a);else if(a===1)n.unshift(o);else if(o!==a){const c= ` Operands could not be broadcast together with shapes $ { e } and $ { t } . ` ;throw Error(c)}else n.unshift(o)}return n}function H_(e,t){let n=W(e,"a","equal"),s=W(t,"b","equal");[n,s]=Mt(n,s),tt(n.shape,s.shape);const i=a=>a.equal(n,s),o={a:n,b:s};return V.runKernelFunc(i,o,null,yx)}const ti=P({equal_:H_});function q_(e,t,n){const s=W(t,"a","where"),i=W(n,"b","where"),o=W(e,"condition","where","bool"),a=tt(s.shape,i.shape),c=ih(s,a),h=ih(i,a);o.rank===1&&k(o.shape[0]===s.shape[0],()=>"The first dimension of ` a ` must match the size of ` condition ` ."),o.rank!==1&&pt(o.shape,h.shape,"Error in where: ");const d=(y,b)=>{const w=y.select(o,c,h);return b([o]),w},m={condition:o,t:c,e:h};return V.runKernelFunc(d,m,null,fy)}const _n=P({where_:q_});function j_(e){const t=W(e,"x","zerosLike"),n={x:t};return V.runKernelFunc(s=>s.zerosLike(t),n,null,Iy)}const Qe=P({zerosLike_:j_});function K_(e,t){let n=W(e,"a","div"),s=W(t,"b","div");[n,s]=Mt(n,s);const i=_e(n,s),o=Qe(i),a=ti(s,o);return _n(a,o,i)}const Rb=P({divNoNan_:K_});function X_(e,t){const n=W(e,"t1","dot"),s=W(t,"t2","dot");k((n.rank===1||n.rank===2)&&(s.rank===1||s.rank===2),()=> ` Error in dot : inputs must all be rank 1 or 2 , but got ranks $ { n . rank } and $ { s . rank } . ` );const i=n.rank===1?n.size:n.shape[1],o=s.rank===1?s.size:s.shape[0];if(k(i===o,()=> ` Error in dot : inner dimensions of inputs must match , but got $ { i } and $ { o } . ` ),n.rank=
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rank $ { o . rank } . ` ),k(Bt(t),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { t } . ` );let a=o,c=!1;o.rank===3&&(c=!0,a=K(o,[1,o.shape[0],o.shape[1],o.shape[2]]));const h=(b,w)=>{const L=b.localResponseNormalization4D(a,t,n,s,i);return w([a,L]),L},d={x:a},m={depthRadius:t,bias:n,alpha:s,beta:i},y=V.runKernelFunc(h,d,null,Jg,m);return c?K(y,[y.shape[1],y.shape[2],y.shape[3]]):y}const kb=P({localResponseNormalization_:wW});function LW(e){const t=W(e,"x","log"),n={x:t};return V.runKernelFunc((s,i)=>{const o=s.log(t);return i([t]),o},n,null,Sl)}const ns=P({log_:LW});function SW(e){const t=W(e,"x","log1p"),n={x:t};return V.runKernelFunc((s,i)=>{const o=s.log1p(t);return i([t]),o},n,null,Il)}const Gd=P({log1p_:SW});function IW(e){return k(Tr(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{const s=W(t,"x","tf.grad",null),i=n!=null?W(n,"dy","tf.grad"):null;return V.tidy(()=>{const{value:o,grads:a}=V.gradients(()=>e(s),[s],i);return i!=null&&pt(o.shape,i.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Vd(a),a[0]})}}function xW(e){return k(Tr(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{k(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of ` Tensor ` s or ` TensorLike ` s");const s=jl(t,"args","tf.grads",null),i=n!=null?W(n,"dy","tf.grads"):null;return V.tidy(()=>{const{value:o,grads:a}=V.gradients(()=>e(...s),s,i);return i!=null&&pt(o.shape,i.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Vd(a),a})}}function TW(e){return k(Tr(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{k(t instanceof Q,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),k(n==null||n instanceof Q,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");const{grads:s,value:i}=V.gradients(()=>e(t),[t],n);return Vd(s),{grad:s[0],value:i}}}function AW(e){return k(Tr(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{k(Array.isArray(t)&&t.every(i=>i instanceof Q),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),k(n==null||n instanceof Q,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");const s=V.gradients(()=>e(...t),t,n);return n!=null&&pt(s.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Vd(s.grads),s}}function Fb(e,t){k(Tr(e),()=>"The f passed in variableGrads(f) must be a function"),k(t==null||Array.isArray(t)&&t.every(d=>d instanceof Hl),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");const n=t!=null;if(!n){t=[];for(const d in V.registeredVariables)t.push(V.registeredVariables[d])}const s=n?t.filter(d=>!d.trainable):null,i=t.length;t=t.filter(d=>d.trainable),k(t.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { i } variables is trainable . ` );const o=!0,{value:a,grads:c}=V.gradients(e,t,null,o);k(c.some(d=>d!=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()."),k(a.rank===0,()=> ` The f passed in variableGrads ( f ) must return a scalar , but it returned a rank - $ { a . rank } tensor ` );const h={};return t.forEach((d,m)=>{c[m]!=null&&(h[d.name]=c[m])}),s!=null&&s.forEach(d=>h[d.name]=null),{value:a,grads:h}}function Ci(e){return V.customGrad(e)}function Vd(e){const t=e.filter(n=>n==null).length;if(t>0)throw new Error( ` Cannot compute gradient of y = f ( x ) with respect to x . Make sure that
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the f you passed encloses all operations that lead from x to y . ` )}function vW(e){const t=W(e,"x","neg"),n={x:t};return V.runKernelFunc(s=>s.neg(t),n,null,sy)}const zt=P({neg_:vW});function NW(e){const t=W(e,"x","softplus"),n={x:t};return V.runKernelFunc((s,i)=>{const o=s.softplus(t);return i([t]),o},n,null,Fl)}const Ua=P({softplus_:NW});function CW(e){const t=W(e,"x","logSigmoid"),n=Ci(s=>{const i=zt(Ua(zt(s))),o=a=>{const c=X(a,Ni(zt(s)));return c};return{value:i,gradFunc:o}});return n(t)}const KT=P({logSigmoid_:CW});function RW(e,t=null,n=!1){const s=W(e,"x","max"),i=(c,h)=>{const d=gt(t,s.shape);let m=d;const y=kn(m,s.rank);let b=s;y!=null&&(b=Me(s,y),m=ws(m.length,b.rank));const w=c.max(b,m);y!=null&&b.dispose();let L=w;if(n){const T=On(L.shape,gt(t,s.shape));L=K(L,T),w.dispose()}return h([s,L]),L},o={x:s},a={reductionIndices:t,keepDims:n};return V.runKernelFunc(i,o,null,xl,a)}const jn=P({max_:RW});function OW(e,t){let n=W(e,"a","sub"),s=W(t,"b","sub");[n,s]=Mt(n,s);const i=(a,c)=>{const h=a.subtract(n,s);return c([n,s]),h},o={a:n,b:s};return V.runKernelFunc(i,o,null,Wl)}const Ce=P({sub_:OW});function EW(e,t=null,n=!1){let s=W(e,"x","sum");s.dtype==="bool"&&(s=ve(s,"int32"));const i=(c,h)=>{h([s]);const d=gt(t,s.shape),m=kn(d,s.rank);let y=d,b=s;m!=null&&(b=Me(s,m),y=ws(y.length,s.rank));let w=c.sum(b,y);if(n){const L=On(w.shape,d);w=K(w,L)}return w},o={x:s},a={axis:t,keepDims:n};return V.runKernelFunc(i,o,null,gy,a)}const Ue=P({sum_:EW});function DW(e,t=-1){const n=W(e,"logits","logSoftmax");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error( ` Log Softmax along a non - last dimension is not yet supported . Logits was rank $ { n . rank } and axis was $ { t } ` );const s=(a,c)=>{const h=!0,d=jn(e,t,!0),m=Ce(e,d),y=Ce(ve(m,"float32"),ns(Ue(Ls(m),t,h)));return c([y]),y},i={logits:n},o={axis:t};return V.runKernelFunc(s,i,null,Xg,o)}const Yd=P({logSoftmax_:DW});function kW(e,t=null,n=!1){const s=W(e,"x","logSumExp"),i=gt(t,s.shape),o=jn(s,i,!0),a=Ce(s,o),c=Ls(a),h=Ue(c,i),d=ns(h),m=be(K(o,d.shape),d);if(n){const y=On(m.shape,i);return K(m,y)}return m}const _b=P({logSumExp_:kW});function FW(e,t){const n=W(e,"a","logicalAnd","bool"),s=W(t,"b","logicalAnd","bool");tt(n.shape,s.shape);const i={a:n,b:s};return V.runKernelFunc(o=>o.logicalAnd(n,s),i,null,Tx)}const $ s=P({logicalAnd_:FW});function _W(e){const t=W(e,"x","logicalNot","bool"),n={x:t};return V.runKernelFunc(s=>s.logicalNot(t),n,null,Zu)}const lh=P({logicalNot_:_W});function WW(e,t){const n=W(e,"a","logicalOr","bool"),s=W(t,"b","logicalOr","bool");tt(n.shape,s.shape);const i={a:n,b:s};return V.runKernelFunc(o=>o.logicalOr(n,s),i,null,Ax)}const Hd=P({logicalOr_:WW});function $ W(e,t){const n=W(e,"a","logicalXor","bool"),s=W(t,"b","logicalXor","bool");return tt(n.shape,s.shape), $ s(Hd(e,t),lh( $ s(e,t)))}const XT=P({logicalXor_: $ W});function UW(e,t,n,s,i){const o=W(e,"x","maxPool"),a=1;let c=o,h=!1;o.rank===3&&(h=!0,c=K(o,[1,o.shape[0],o.shape[1],o.shape[2]])),k(c.rank===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { c . rank } . ` ),k(rn(n,a),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { n } and dilations '${a}' ` ),i!=null&&k(Bt(s),()=> ` Error in maxPool : pad must be an integer when using , dimRoundingMode $ { i } but got pad $ { s } . ` );const d=(w,L)=>{const T=Fn(c.shape,t,n,1,s,i);let A;return T.filterWidth===1&&T.filterHeight===1&&ot(T.inShape,T.outShape)?A=c.clone():A=w.maxPool(c,T),L([c,A]),A},m={x:c},y={filterSize:t,strides:n,pad:s,dimRoundingMode:i},b=V.runKernelFunc(d,m,null,Tl,y);return h?K(b,[b.shape[1],b.shape[2],b.shape[3]]):b}const hh=P({maxPool_:UW});function BW(e,t=[1,1,1],n,s,i,o="NDHWC",a){a==null?a=[1,1,1]:nn("dilations is deprecated, this field will be gone in v3.0.0.");const c=W(e,"x","maxPool3d");let h=c,d=!1;c.rank===4&&(d=!0,h=K(c,[1,c.shape[0],c.shape[1],c.shape[2],c.shape[3]])),k(h.rank===5,()=> ` Error in maxPool3d : x must be rank 5 but got rank $ { h . rank } . ` ),k(o==="NDHWC",()=> ` Error in maxPool3d : Only NDHWC is currently supported , but got dataFormat of $ { o } ` ),k(rn(n,a),()=> ` Error in maxPool3d : Either strides or dilations must be 1. G
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1. The $ { s } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
2. The custom $ { s } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );return a}else{const o=e;if(o.className==null||o.config==null)throw new j( ` $ { s } : Improper config format : $ { JSON . stringify ( o ) } .
'className' and 'config' must set . ` );const a=o.className;let c,h;if(a in n?[c,h]=n[a]:a in Us?[c,h]=Us.className:a in t&&([c,h]=t[a]),c==null)throw new j( ` Unknown $ { s } : $ { a } . This may be due to one of the following reasons :
1. The $ { s } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
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2. The custom $ { s } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );if(h!=null){const d={};for(const w of Object.keys(Us))d[w]=Us[w];for(const w of Object.keys(n))d[w]=n[w];const m=o.config;m.customObjects=d;const y=Object.assign({},Us);for(const w of Object.keys(n))Us[w]=n[w];bw(o.config);const b=h(c,o.config,n,i);return Us=Object.assign({},y),b}else{const d=Object.assign({},Us);for(const y of Object.keys(n))Us[y]=n[y];const m=new c(o.config);return Us=Object.assign({},d),m}}}function pz(e,t){return e<t?-1:e>t?1:0}function bp(e,t){return-1*pz(e,t)}function qZ(e){switch(e){case"float32":return"float32";default:throw new j( ` Invalid dtype : $ { e } ` )}}function jZ(e,t){if(e==null||t==null)return e===t;if(e.length!==t.length)return!1;for(let n=0;n<e.length;++n)if(e[n]!==t[n])return!1;return!0}function Ur(e){if(e==null)return e;const t=[];for(const n of e)t.indexOf(n)===-1&&t.push(n);return t}function mz(e){if(e==null)throw new j( ` Invalid value in obj : $ { JSON . stringify ( e ) } ` );for(const t in e)if(e.hasOwnProperty(t))return!1;return!0}function ja(e,t,n){if(n==null)return;if(e.indexOf(n)<0)throw new j( ` $ { n } is not a valid $ { t } . Valid values are $ { e } or null / undefined . ` )}function ww(e,t,n=0,s=Infinity){return xs(n>=0),xs(s>=n),Array.isArray(e)&&e.length>=n&&e.length<=s&&e.every(i=>typeof i===t)}function pn(e,t){Array.isArray(e)?(k(e.length>0,()=> ` $ { t } is unexpectedly an empty array . ` ),e.forEach((n,s)=>pn(n, ` element $ { s + 1 } of $ { t } ` ))):k(Number.isInteger(e)&&e>0,()=> ` Expected $ { t } to be a positive integer , but got $ { XA ( e ) } . ` )}function XA(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>XA(t)).join(",")+"]":typeof e=="string"? ` "${e}" ` : ` $ { e } ` }function fz(e,t){let n=Yn(),s;const i=(...o)=>{const a=Yn();return a-n<t||(n=a,s=e(...o)),s};return i}function JA(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}function KZ(...e){xs(e.length>0,"arrayOfValues is empty");for(const t of e)xs(Array.isArray(t),"one of the values is not an array"),xs(t.length>0,"one of the values is empty");return e.reduce((t,n)=>t.length===0?n.map(s=>[s]):n.map(s=>t.map(i=>[...i,s])).reduce((s,i)=>s.concat(i),[]),[])}function Lw(e,t){return ee(()=>Ln(Ue(X(e,e),t,!0)))}class Rh extends Ao{getConfig(){return{}}}class Sw extends Rh{constructor(e){super();this.defaultMaxValue=2,this.defaultAxis=0,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return ee(()=>{const t=Lw(e,this.axis),n=Hn(t,0,this.maxValue);return X(e,_e(n,be(an(),t)))})}getConfig(){return{maxValue:this.maxValue,axis:this.axis}}}Sw.className="MaxNorm",me(Sw);class Iw extends Rh{constructor(e){super();this.defaultAxis=0,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return ee(()=>_e(e,be(an(),Lw(e,this.axis))))}getConfig(){return{axis:this.axis}}}Iw.className="UnitNorm",me(Iw);class xw extends Rh{apply(e){return Oi(e)}}xw.className="NonNeg",me(xw);class Tw extends Rh{constructor(e){super();this.defaultMinValue=0,this.defaultMaxValue=1,this.defaultRate=1,this.defaultAxis=0,this.minValue=e.minValue!=null?e.minValue:this.defaultMinValue,this.maxValue=e.maxValue!=null?e.maxValue:this.defaultMaxValue,this.rate=e.rate!=null?e.rate:this.defaultRate,this.axis=e.axis!=null?e.axis:this.defaultAxis}apply(e){return ee(()=>{const t=Lw(e,this.axis),n=be(X(this.rate,Hn(t,this.minValue,this.maxValue)),X(1-this.rate,t));return X(e,_e(n,be(an(),t)))})}getConfig(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}}}Tw.className="MinMaxNorm",me(Tw);const ZA={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function cn(e){return yw(e)}function QA(e,t={}){return Ch(e,Fs.getMap().classNameMap,t,"constraint")}function ln(e){if(e==null)return null;if(typeof e=="string"){const t=e in ZA?ZA[e]:e,n={className:t,config:{}};return QA(n)}else return e instanceof Rh?e:QA(e)}function gz(e){return new Sw(e)}function yz(e){return new Iw(e)}function bz(){return new xw}function wz(e){return new Tw(e)}var Lz=Object.freeze({__pro
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because the value dtype is $ { t . dtype } , but TensorArray dtype is $ { this . dtype } . ` );if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Ps(this.elementShape,t.shape, ` TensorArray $ { this . name } : Could not write to TensorArray index $ { e } . ` ),n.read)throw new Error( ` TensorArray $ { this . name } : Could not write to TensorArray index $ { e } , because it has already been read . ` );if(n.written)throw new Error( ` TensorArray $ { this . name } : Could not write to TensorArray index $ { e } , because it has already been written . ` );n.tensor=t,Cn(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error( ` TensorArray $ { this . name } : could not write multiple tensors , because the index size : $ { e . length } is not the same as tensors size : $ { t . length } . ` );e.forEach((n,s)=>this.write(n,t[s]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but gather requested dtype $ { t } ` );if(e)e=e.slice(0,this.size());else{e=[];for(let s=0;s<this.size();s++)e.push(s)}if(e.length===0)return en([],[0].concat(this.elementShape));const n=this.readMany(e);return Ps(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),rs(n,0)}concat(e){if(!!e&&e!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but concat requested dtype $ { e } ` );if(this.size()===0)return en([],[0].concat(this.elementShape));const t=[];for(let s=0;s<this.size();s++)t.push(s);const n=this.readMany(t);return Ps(this.elementShape,n[0].shape, ` TensorArray shape mismatch : tensor array shape ( $ { this . elementShape } ) vs first tensor shape ( $ { n [ 0 ] . shape } ) ` ),Pt(n,0)}scatter(e,t){if(t.dtype!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but tensor has dtype $ { t . dtype } ` );if(e.length!==t.shape[0])throw new Error( ` Expected len ( indices ) == tensor . shape [ 0 ] , but saw : $ { e . length } vs . $ { t . shape [ 0 ] } ` );const n=Math.max(...e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error( ` Max index must be < array size ( $ { n } vs . $ { this . maxSize } ) ` );this.writeMany(e,Ei(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error( ` TensorArray dtype is $ { this . dtype } but tensor has dtype $ { t . dtype } ` );let n=0;const s=e.map(c=>(n+=c,n));if(n!==t.shape[0])throw new Error( ` Expected sum of lengths to be equal to
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tensor . shape [ 0 ] , but sum of lengths is
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$ { n } , and tensor 's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray' s size is not equal to the size of lengths ( $ { this . maxSize } vs . $ { e . length } ) , and the TensorArray is not marked as dynamically resizeable ` );const i=n===0?0:t.size/n,o=[];ee(()=>{t=K(t,[1,n,i]);for(let c=0;c<e.length;++c){const h=c===0?0:s[c-1],d=[0,h,0],m=[1,e[c],i];o[c]=K(nt(t,d,m),this.elementShape)}return o});const a=[];for(let c=0;c<e.length;c++)a[c]=c;this.writeMany(a,o)}}class Jh{constructor(e,t,n,s=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(i=>{if(n!==i.dtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { i . dtype } ` );Ps(t,i.shape,"TensorList shape mismatch: "),Cn(i)}),this.idTensor=Ne(0),this.maxNumElements=s,Cn(this.idTensor)}get id(){return this.idTensor.id}copy(){return new Jh([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t } , but list elements $ { this . elementDtype } ` );if(n!==-1&&this.tensors.length!==n)throw new Error( ` Operation expected a list with $ { n } elements but got a list with $ { this . tensors . length } elements . ` );return Ps(e,this.elementShape,"TensorList shape mismatch: "),ee(()=>{const s=this.tensors.map(i=>K(i,e));return rs(s,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t } , but list elements $ { this . elementDtype } ` );if(this.size()===0)throw new Error("Trying to pop from an empty list.");const n=this.tensors.pop();return Ps(n.shape,e,"TensorList shape mismatch: "),K(n,e)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e . dtype } , but list elements $ { this . elementDtype } ` );if(Ps(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Cn(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error( ` TensorListResize expects size to be non - negative . Got : $ { e } ` );if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error( ` TensorListResize input size $ { e } is greater maxNumElement $ { this . maxNumElements } . ` );this.tensors.length=e}getItem(e,t,n){if(n!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { this . elementDtype } ` );if(e<0||e>this.tensors.length)throw new Error( ` Trying to access element $ { e } in a list with $ { this . tensors . length } elements . ` );if(this.tensors[e]==null)throw new Error( ` element at index $ { e } is null . ` );return Ps(this.tensors[e].shape,t,"TensorList shape mismatch: "),this.tensors[e]}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t . dtype } , but list elements $ { this . elementDtype } ` );if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error( ` Trying to set element $ { e } in a list with max $ { this . maxNumElements } elements . ` );Ps(this.elementShape,t.shape,"TensorList shape mismatch: "),Cn(t),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t } , but list elements $ { this . elementDtype } ` );return Ps(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size()),e.length===0?en([],[0].concat(this.elementShape)):ee(()=>{const s=e.map(i=>K(this.tensors[i],n));return rs(s,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error( ` TensorList dtype is $ { this . elementDtype } but concat requested dtype $ { e } ` );return Ps(this.elementShape,t,"TensorList shape mismatch: "),this.size()===0?en([],[0].concat(this.elementShape)):ee(()=>{const n=this.tensors.map(s=>K(s,t));return Pt(n,0)})}}function $ Y(e,t,n){const s=e.dtype;if(e.shape.length<1)throw new Error( ` Tensor must be at least a vector , but saw shape : $ { e . shape } ` );if(e.dtype!==n)throw new Error( ` Invalid data types ; op elements $ { e . dtype } , but list elements $ { n } ` );const i=e.s
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tensor . shape [ 0 ] , but sum of lengths is
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$ { s } , and tensor ' s shape is : $ { e . shape } ` );const o=s===0?0:e.size/s,a=ee(()=>{const h=[];e=K(e,[1,s,o]);for(let d=0;d<t.length;++d){const m=d===0?0:i[d-1],y=[0,m,0],b=[1,t[d],o];h[d]=K(nt(e,y,b),n)}return e.dispose(),h}),c=new Jh([],n,e.dtype,t.length);for(let h=0;h<a.length;h++)c.setItem(h,a[h]);return c}const PY=async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{const s=R("thenBranch",e,t,n),i=R("elseBranch",e,t,n),o=R("cond",e,t,n),a=R("args",e,t,n),c=await o.data();return c[0]?n.functionMap[s].executeFunctionAsync(a,n.tensorArrayMap,n.tensorListMap):n.functionMap[i].executeFunctionAsync(a,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{const s=R("body",e,t,n),i=R("cond",e,t,n),o=R("args",e,t,n),a=await n.functionMap[i].executeFunctionAsync(o,n.tensorArrayMap,n.tensorListMap),c=o.map(m=>m.id);let h=await a[0].data();a.forEach(m=>{!m.kept&&c.indexOf(m.id)===-1&&m.dispose()});let d=o;for(;h[0];){const m=d;d=await n.functionMap[s].executeFunctionAsync(d,n.tensorArrayMap,n.tensorListMap);const y=d.map(w=>w.id);m.forEach(w=>{!w.kept&&c.indexOf(w.id)===-1&&y.indexOf(w.id)===-1&&w.dispose()});const b=await n.functionMap[i].executeFunctionAsync(d,n.tensorArrayMap,n.tensorListMap);h=await b[0].data(),b.forEach(w=>{!w.kept&&c.indexOf(w.id)===-1&&y.indexOf(w.id)===-1&&w.dispose()})}return d}case"LoopCond":{const s=R("pred",e,t,n);return[or(s)]}case"Switch":{const s=R("pred",e,t,n);let i=R("data",e,t,n);return i.kept||(i=or(i)),(await s.data())[0]?[void 0,i]:[i,void 0]}case"Merge":{const s=e.inputNames.find(i=>Jn(i,t,n)!==void 0);if(s){const i=Jn(s,t,n);return[or(i)]}return}case"Enter":{const s=R("frameName",e,t,n),i=R("tensor",e,t,n);return n.enterFrame(s),[or(i)]}case"Exit":{const s=R("tensor",e,t,n);return n.exitFrame(),[or(s)]}case"NextIteration":{const s=R("tensor",e,t,n);return n.nextIteration(),[or(s)]}case"TensorArrayV3":{const s=R("size",e,t,n),i=R("dtype",e,t,n),o=R("elementShape",e,t,n),a=R("dynamicSize",e,t,n),c=R("clearAfterRead",e,t,n),h=R("identicalElementShapes",e,t,n),d=R("name",e,t,n),m=new WY(d,i,s,o,h,a,c);return n.addTensorArray(m),[m.idTensor,Ne(1)]}case"TensorArrayWriteV3":{const s=R("tensorArrayId",e,t,n),i=R("index",e,t,n),o=R("tensor",e,t,n),a=n.getTensorArray(s.id);return a.write(i,o),[a.idTensor]}case"TensorArrayReadV3":{const s=R("tensorArrayId",e,t,n),i=R("index",e,t,n),o=n.getTensorArray(s.id);return[o.read(i)]}case"TensorArrayGatherV3":{const s=R("tensorArrayId",e,t,n),i=R("indices",e,t,n),o=R("dtype",e,t,n),a=n.getTensorArray(s.id);return[a.gather(i,o)]}case"TensorArrayScatterV3":{const s=R("tensorArrayId",e,t,n),i=R("indices",e,t,n),o=R("tensor",e,t,n),a=n.getTensorArray(s.id);return a.scatter(i,o),[a.idTensor]}case"TensorArrayConcatV3":{const s=R("tensorArrayId",e,t,n),i=n.getTensorArray(s.id),o=R("dtype",e,t,n);return[i.concat(o)]}case"TensorArraySplitV3":{const s=R("tensorArrayId",e,t,n),i=R("tensor",e,t,n),o=R("lengths",e,t,n),a=n.getTensorArray(s.id);return a.split(o,i),[a.idTensor]}case"TensorArraySizeV3":{const s=R("tensorArrayId",e,t,n),i=n.getTensorArray(s.id);return[Ne(i.size(),"int32")]}case"TensorArrayCloseV3":{const s=R("tensorArrayId",e,t,n),i=n.getTensorArray(s.id);return i.clearAndClose(),[i.idTensor]}case"TensorListSetItem":{const s=R("tensorListId",e,t,n),i=R("index",e,t,n),o=R("tensor",e,t,n),a=n.getTensorList(s.id);return a.setItem(i,o),[a.idTensor]}case"TensorListGetItem":{const s=R("tensorListId",e,t,n),i=R("index",e,t,n),o=R("elementShape",e,t,n),a=R("elementDType",e,t,n),c=n.getTensorList(s.id);return[c.getItem(i,o,a)]}case"TensorListScatterV2":case"TensorListScatter":{const s=R("indices",e,t,n),i=R("tensor",e,t,n),o=R("elementShape",e,t,n),a=R("numElements",e,t,n),c=BY(i,s,o,a);return n.addTensorList(c),[c.idTensor]}case"TensorListReserve":{const s=R("elementShape",e,t,n),i=R("elementDType",e,t,n),o=R("numElements",e,t,n),a=UY(s,i,o);return n.addTensorList(a),[a.idTensor]}case"TensorListGather":{const s=R("tensorListId",e,t,n),i=R("indices",e,t,n),o=R("elementShape",e,t,n),a=R("elementDType",e,t,n),c=n.getTensorList(s.id);return[c.gather(i
$ { e } ` );let s;return this.size===Infinity||this.size==null?s=this.size:t?s=Math.ceil(this.size/e):s=Math.floor(this.size/e),cs(async()=>(await n.iterator()).columnMajorBatch(e,t,RH),s)}concatenate(e){const t=this;let n;return this.size===Infinity||e.size===Infinity?n=Infinity:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,cs(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){const t=this;let n;return this.size===Infinity?n=Infinity:n=null,cs(async()=>(await t.iterator()).filter(s=>ee(()=>e(s))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){const t=this;return cs(async()=>(await t.iterator()).map(n=>ee(()=>e(n))),this.size)}mapAsync(e){const t=this;return cs(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError(" ` Dataset . prefetch ( ) ` requires bufferSize to be specified.");const t=this;return cs(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){const t=this;let n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=Infinity:n=null,cs(async()=>{const s=Zh(async()=>({value:await t.iterator(),done:!1}));return VN(s.take(e))},n)}skip(e){const t=this;let n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size<e||e===void 0||e<0)?n=0:n=null,cs(async()=>(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError(" ` Dataset . shuffle ( ) ` requires bufferSize to be specified."):new RangeError( ` \ ` Dataset.shuffle() \` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \` tf.Tensor \` s), consider setting bufferSize to the dataset size ( ${ this . size } elements) ` ) ; const s = this , i = Pa ( t || Yn ( ) . toString ( ) ) ; return cs ( async ( ) => { let o = i . int32 ( ) ; return n && ( o += i . int32 ( ) ) , ( await s . iterator ( ) ) . shuffle ( e , o . toString ( ) ) } , this . size ) } take ( e ) { const t = this ; let n ; return this . size != null && this . size > e ? n = e : this . size != null && this . size <= e ? n = this . size : n = null , cs ( async ( ) => ( await t . iterator ( ) ) . take ( e ) , n ) } async toArray ( ) { if ( this . size === Infinity ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArray ( ) } async toArrayForTest ( ) { if ( this . size === Infinity ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArrayForTest ( ) } } ic . MAX _BUFFER _SIZE = 1e4 ; function cs ( e , t = null ) { return new class extends ic { constructor ( ) { super ( ... arguments ) ; this . size = t } async iterator ( ) { return e ( ) } } } function NH ( e ) { return cs ( async ( ) => GN ( e ) , e . length ) } function CH ( e ) { if ( ! sc ( e ) ) throw new Error ( "The argument to zip() must be an object or array." ) ; let t ; if ( Array . isArray ( e ) ) for ( let n = 0 ; n < e . length ; n ++ ) t = t == null ? e [ n ] . size : Math . min ( t , e [ n ] . size ) ; else if ( e instanceof Object ) for ( const n in e ) t = t == null ? e [ n ] . size : Math . min ( t , e [ n ] . size ) ; return cs ( async ( ) => { const n = await PN ( e , s => { if ( s instanceof ic ) return { value : s . iterator ( ) , recurse : ! 1 } ; if ( sc ( s ) ) return { value : null , recurse : ! 0 } ; throw new Error ( "Leaves of the structure passed to zip() must be Datasets, not primitives." ) } ) ; return mH ( n , Hr . SHORTEST ) } , t ) } function RH ( e ) { if ( e === null ) return null ; const t = e [ 0 ] ; if ( hH ( t ) ) { const n = OH ( e ) ; return { value : n , recurse : ! 1 } } return { value : null , recurse : ! 0 } } function OH ( e ) { if ( e . length === 0 ) throw new Error ( "Can't make a batch of zero elements." ) ; return e [ 0 ] instanceof Q ? rs ( e ) : en ( e ) } class jN extends ic { constructor ( e ) { super ( ) ; this . input = e } async iterator ( ) { const e = await this . input . iterator ( ) , t = e . decodeUTF8 ( ) , n = t . split ( `
` ).map(s=>(s.endsWith(" \r ")&&(s=s.slice(0,-1)),s));return n}}const nm='"',Qh=Symbol("out"),KN=Symbol("field"),sm=Symbol("quote"),dS=Symbol("quoteafterquote"),XN=Symbol("quoteinquote");class JN extends ic{constructor(e,t){super();this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new jN(e),t||(t={}),this.hasHeader=!(t.hasHeader===!1),this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(k(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){const e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&k(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);const t=this.fullColumnNames.reduce((s,i)=>(s[i]=s[i]+1||1,s),{}),n=Object.keys(t).filter(s=>t[s]>1);if(k(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs)for(const s of Object.keys(this.columnConfigs)){const i=this.fullColumnNames.indexOf(s);if(i===-1)throw new Error('The key "'+s+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){const e=await this.base.iterator(),t=await e.next();if(t.done)throw new Error("No data was found for CSV parsing.");const n=t.value,s=this.parseRow(n,!1);return s}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){const t=this.parseRow(e),n={},s={};for(let i=0;i<this.fullColumnNames.length;i++){const o=this.fullColumnNames[i],a=this.columnConfigs?this.columnConfigs[o]:null;if(this.configuredColumnsOnly&&!a)continue;{const c=t[i];let h=null;if(c==="")if(a&&a.default!==void 0)h=a.default;else{if(a&&(a.required||a.isLabel))throw new Error( ` Required column $ { o } is empty in this line : $ { e } ` );h=void 0}else{const d=Number(c);if(isNaN(d))a&&a.dtype==="bool"?h=this.getBoolean(c):h=c;else if(!a||!a.dtype)h=d;else switch(a.dtype){case"float32":h=d;break;case"int32":h=Math.floor(d);break;case"bool":h=this.getBoolean(c);break;default:h=d}}a&&a.isLabel?s[o]=h:n[o]=h}}return Object.keys(s).length===0?n:{xs:n,ys:s}}getBoolean(e){return e==="1"||e.toLowerCase()==="true"?1:0}parseRow(e,t=!0){const n=[];let s=0;const i=e.length;let o=Qh;for(let a=0;a<i;a++)switch(o){case Qh:switch(e.charAt(a)){case nm:s=a+1,o=sm;break;case this.delimiter:if(s=a+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),o=Qh;break;default:o=KN,s=a;break}break;case KN:switch(e.charAt(a)){case this.delimiter:n.push(e.substring(s,a)),o=Qh,s=a+1;break;default:}break;case sm:switch(e.charAt(a)){case nm:o=dS;break;default:}break;case dS:switch(e.charAt(a)){case this.delimiter:n.push(e.substring(s,a-1)),o=Qh,s=a+1;break;case nm:o=sm;break;default:o=XN;break}break;case XN:switch(e.charAt(a)){case nm:o=sm;break;default:}break;default:}if(o===dS?n.push(e.substring(s,i-1)):n.push(e.substring(s)),t&&n.length!==this.fullColumnNames.length)throw new Error( ` Invalid row in csv file . Should have $ { this . fullColumnNames . length } elements in a row , but got $ { n } ` );return n}}class ZN extends fn{constructor(e){super();this.microphoneConfig=e,this.isClosed=!1,this.fftSize=e.fftSize||1024;const t=Math.log2(this.fftSize);if(this.fftSize<0||t<4|
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=== === === === === === === === === =
Hi there 👋 . Looks like you are running TensorFlow . js in Node . js . To speed things up dramatically , install our node backend , which binds to TensorFlow C ++ , by running npm i @ tensorflow / tfjs - node , or npm i @ tensorflow / tfjs - node - gpu if you have CUDA . Then call require ( '@tensorflow/tfjs-node' ) ; ( - gpu suffix for CUDA ) at the start of your program . Visit https : //github.com/tensorflow/tfjs-node for more details.
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=== === === === === === === === === = ` ));const s={};return this.data.set(s,{values:e,dtype:n,refCount:1}),s}makeTensorInfo(e,t,n){const s=this.write(n,e,t);return{dataId:s,shape:e,dtype:t}}incRef(e){const t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){const t=this.data.get(e);t.refCount--}}move(e,t,n,s){this.data.set(e,{values:t,dtype:s,refCount:1})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){const{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){const s=this.readSync(n.real.dataId),i=this.readSync(n.imag.dataId);return er(s,i)}return this.data.get(e).values}bufferSync(e){const t=this.readSync(e.dataId);let n=t;if(e.dtype==="string")try{n=t.map(s=>zl(s))}catch(s){throw new Error("Failed to decode encoded string bytes into utf-8")}return Ze(e.shape,e.dtype,n)}makeOutput(e,t,n){const s=this.write(e,t,n);return _s().makeTensorFromDataId(s,t,n,this)}disposeData(e){if(this.data.has(e)){const{complexTensorInfos:t}=this.data.get(e);t!=null&&(this.disposeData(t.real.dataId),this.disposeData(t.imag.dataId)),this.data.delete(e)}}disposeIntermediateTensorInfo(e){const t=e.dataId;if(this.data.has(t)){const n=this.data.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}async time(e){const t=Yn();e();const n=Yn()-t;return{kernelMs:n}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}stridedSlice(e,t,n,s){xe(e,"stridedSlice");const i=Cd(t,n,s);if(i.some(c=>c===0))return en([],i);const o=Ze(i,e.dtype),a=this.bufferSync(e);for(let c=0;c<o.size;c++){const h=o.indexToLoc(c),d=new Array(h.length);for(let m=0;m<d.length;m++)d[m]=h[m]*s[m]+t[m];o.set(a.get(...d),...h)}return o.toTensor()}diag(e){const t=this.readSync(e.dataId),n=Ze([e.size,e.size],e.dtype),s=n.values;for(let i=0;i<t.length;i++)s[i*e.size+i]=t[i];return n.toTensor()}unstack(e,t){const n=e.shape[t],s=new Array(e.rank-1);let i=0;for(let h=0;h<e.rank;h++)h!==t&&(s[i++]=e.shape[h]);const o=new Array(e.rank).fill(0),a=e.shape.slice();a[t]=1;const c=new Array(n);for(let h=0;h<c.length;h++)o[t]=h,c[h]=nt(e,o,a).reshape(s);return c}reverse(e,t){xe(e,"reverse");const n=Ze(e.shape,e.dtype),s=this.bufferSync(e);for(let i=0;i<n.size;i++){const o=n.indexToLoc(i),a=o.slice();t.forEach(c=>a[c]=e.shape[c]-1-a[c]),n.set(s.get(...a),...o)}return n.toTensor()}neg(e){return xe(e,"neg"),X(Ne(-1),e)}addN(e){xe(e,"addN");const t=e.map(i=>this.readSync(i.dataId)),n=Ze(e[0].shape,e[0].dtype),s=n.values;for(let i=0;i<e.length;i++){const o=t[i];for(let a=0;a<s.length;a++)s[a]+=o[a]}return n.toTensor()}softmax(e,t){const n=gt([t],e.shape),s=jn(e,n),i=On(s.shape,n),o=Ce(e,s.reshape(i)),a=Ls(o),c=this.sum(a,n).reshape(i);return _e(a,c)}pow(e,t){return xe([e,t],"pow"),this.broadcastedBinaryOp(e,t,e.dtype,(n,s)=>Math.pow(n,s))}batchMatMul(e,t,n,s){xe([e,t],"matMul");const i=n?e.shape[1]:e.shape[2],o=n?e.shape[2]:e.shape[1],a=s?t.shape[1]:t.shape[2],c=e.shape[0],h=this.readSync(e.dataId),d=this.readSync(t.dataId),[m,y,b]=n?[e.strides[0],1,e.strides[1]]:[e.strides[0],e.strides[1],1],[w,L,T]=s?[1,t.strides[1],t.strides[0]]:[t.strides[1],1,t.strides[0]],A=o*a,N=Ze([c,o,a],e.dtype),E=N.values,D=this.blockSize;for(let F=0;F<c;F++)for(let _=0;_<o;_+=D)for(let B=0;B<a;B+=D)for(let $ =0; $ <i; $ +=D){const H=Math.min(_+D,o),q=Math.min(B+D,a),J=Math.min( $ +D,i);for(let re=_;re<H;re++)for(let ce=B;ce<q;ce++){let ue=0;for(let he= $ ;he<J;he++)ue+=h[F*m+re*y+he*b]*d[he*w+ce*L+F*T];E[F*A+(re*a+ce)]+=ue}}return N.toTensor()}fusedBatchMatMul({a:e,b:t,transposeA:n,transposeB:s,bias:i,activation:o,preluActivationWeights:a}){let c=this.batchMatMul(e,t,n,s);return i&&(c=be(c,i)),o&&(c=pS(this,c,o,a)),c}floorDiv(e,t){xe([e,t],"floorDiv");const n=(i,o)=>Math.floor(i/o),s="int32";return this.broadcastedBinaryOp(e,t,s,n)}sum(e,t){xe(e,"sum"),ts("sum",t,e.rank);const[n,s]=Rn(e.shape,t),i=Nn(e.dtype,"int32"),o=ct(n,i),a=we(s),c=this.readSync(o.dataId),h=this.readSync(e.dataId);for(let d=0;d<c.length;++d){const m=d*a;let y=0;for(let b=0;b<a;++b)y+=h[m+b];c[d]
` ),o=i.length.toString().length+2,a=i.map((y,b)=>bo((b+1).toString(),o)+y);let c=0;for(let y=0;y<a.length;y++)c=Math.max(a[y].length,c);const h=a.slice(0,s-1),d=a.slice(s-1,s),m=a.slice(s);console.log(h.join( `
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` )),console.log(t.split( `
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` )[0]),console.log( ` % c $ { bo ( d [ 0 ] , c ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(m.join( `
` ))}function zj(e){return ar(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function Gj(e,t){if(Re(e,()=>e.linkProgram(t)),e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function IS(e,t){if(Re(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function Vj(e,t){const n=ar(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return Re(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),Re(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function Yj(e,t){const n=ar(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return Re(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),Re(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function pee(){return C().getNumber("WEBGL_VERSION")===2?1:4}function Hj(e){return ar(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function qj(e,t){const n=C().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){const s= ` [ $ { e } x$ { t } ] ` ;throw new Error("Requested texture size "+s+" is invalid.")}if(e>n||t>n){const s= ` [ $ { e } x$ { t } ] ` ,i= ` [ $ { n } x$ { n } ] ` ;throw new Error("Requested texture size "+s+" greater than WebGL maximum on this browser / GPU "+i+".")}}function jj(e){return ar(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function C0(e,t,n,s,i,o,a){const c=e.getAttribLocation(t,n);return c===-1?!1:(Re(e,()=>e.bindBuffer(e.ARRAY_BUFFER,s)),Re(e,()=>e.vertexAttribPointer(c,i,e.FLOAT,!1,o,a)),Re(e,()=>e.enableVertexAttribArray(c)),!0)}function Kj(e,t,n){O0(e,n),Re(e,()=>e.activeTexture(e.TEXTURE0+n)),Re(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function mee(e,t){O0(e,t),Re(e,()=>e.activeTexture(e.TEXTURE0+t)),Re(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function Xj(e,t,n){return ar(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function Jj(e,t,n){return e.getUniformLocation(t,n)}function Zj(e,t,n,s){Re(e,()=>Kj(e,t,s)),Re(e,()=>e.uniform1i(n,s))}function fee(e){Re(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),Re(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),Re(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function xS(e,t,n){Re(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),Re(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function R0(e,t){Re(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),Re(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function om(e){const t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+Qj(e,t))}function Qj(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return ` unknown error $ { t } ` }}function ar(e,t,n){const s=Re(e,()=>t());if(s==null)throw new Error(n);return s}function O0(e,t){const n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,s=t+e.TEXTURE0;if(s<e.TEXTURE0||s>n){const i= ` [ gl . TEXTURE0 , gl . TEXTURE$ { n } ] ` ;throw new Error( ` textureUnit must be in $ { i } . ` )}}function hc(e,t=2){return we(e.slice(0,e.length-t))}function uc(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function TS(e){let t=[1,1,1];const n=e.length===0||e.length===1&&e[0]===1;return n||(t=[hc(e),...uc(e)]),t}function eK(e,t=!1){let n=C().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t&&(n=n*2,e=e.map((i,o)=>o>=e.length-2?Oy(e[o]):e[o]),e.length===1&&(e=[2,e[0]])),e.length!==2){const i=Ir(e);e=i.newShape}let s=we(e);if(e.length<=1&&s<=n)return[1,s];if(e.length===2&&e[0]<=n&&e[1]<=n)return e;if(e.length===3&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(e.length===3&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(e.length===4&&e[0]*e[1]*e[2]<=n&&e
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void main ( ) {
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$ { n . join ( `
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` )}
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float result = $ { s } ;
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setOutput ( result ) ;
}
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` }}class IK{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((i,o)=> ` T$ { o } ` );const n=[];this.variableNames.forEach(i=>{n.push( ` vec4 v$ { i } = get$ { i } AtOutCoords ( ) ; ` )});const s=this.variableNames.map(i=> ` v$ { i } ` ).join(" + ");this.userCode= `
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void main ( ) {
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$ { n . join ( `
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` )}
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vec4 result = $ { s } ;
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setOutput ( result ) ;
}
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` }}class xK{constructor(e,t,n){this.variableNames=["A"];const{windowSize:s,batchSize:i,outSize:o}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[i,o];const a=t==="max"?">":"<",c=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 ] ;
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int inOffset = outIdx * $ { s } ;
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int bestIndex = inOffset ;
float bestValue = getA ( batch , bestIndex ) ;
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for ( int i = 0 ; i < $ { s } ; i ++ ) {
int inIdx = $ { c } ;
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float candidate = getA ( batch , inIdx ) ;
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if ( candidate $ { a } bestValue ) {
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bestValue = candidate ;
bestIndex = inIdx ;
}
}
setOutput ( float ( bestIndex ) ) ;
}
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` }}function k0(e,t){return["x","y","z","w","u","v"].slice(0,t).map(n=> ` $ { e } . $ { n } ` )}function ls(e,t){return t===1?[e]:k0(e,t)}function TK(e,t){if(e===1)return"rc";let n="";for(let s=0;s<e;s++)n+=t[s],s<e-1&&(n+=",");return n}function Wn(){let e,t,n,s,i,o,a,c,h,d;return C().getNumber("WEBGL_VERSION")===2?(e="#version 300 es",t="in",n="out",s="in",i="texture",o="outputColor",a="out vec4 outputColor;",c= `
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bool isnan _custom ( float val ) {
return ( val > 0.0 || val < 0.0 ) ? false : val != 0.0 ;
}
bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan _custom ( val . x ) ,
isnan _custom ( val . y ) , isnan _custom ( val . z ) , isnan _custom ( val . w ) ) ;
}
# define isnan ( value ) isnan _custom ( value )
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` ,h="",d= `
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# define round ( value ) newRound ( value )
int newRound ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
}
ivec4 newRound ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
}
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` ):(e="",t="attribute",n="varying",s="varying",i="texture2D",o="gl_FragColor",a="",c= `
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# define isnan ( value ) isnan _custom ( value )
bool isnan _custom ( float val ) {
return ( val > 0. || val < 1. || val == 0. ) ? false : true ;
}
bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan ( val . x ) , isnan ( val . y ) , isnan ( val . z ) , isnan ( val . w ) ) ;
}
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` ,h= `
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uniform float INFINITY ;
bool isinf ( float val ) {
return abs ( val ) == INFINITY ;
}
bvec4 isinf ( vec4 val ) {
return equal ( abs ( val ) , vec4 ( INFINITY ) ) ;
}
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` ,d= `
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int round ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
}
ivec4 round ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
}
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` ),{version:e,attribute:t,varyingVs:n,varyingFs:s,texture2D:i,output:o,defineOutput:a,defineSpecialNaN:c,defineSpecialInf:h,defineRound:d}}function jo(e,t,n="index"){const s=Ot(t);return s.map((i,o)=>{const a= ` int $ { e [ o ] } = $ { n } / $ { i } ` ,c=o===s.length-1? ` int $ { e [ o + 1 ] } = $ { n } - $ { e [ o ] } * $ { i } ` : ` index -= $ { e [ o ] } * $ { i } ` ;return ` $ { a } ; $ { c } ; ` }).join("")}function um(e){return e.length===1? ` $ { e [ 0 ] } ` : ` vec$ { e . length } ( $ { e . join ( "," ) } ) ` }function bee(e,t){if(e.length!==t.length)throw new Error( ` Vectors to be dotted must be of the same length - got $ { e . length } and $ { t . length } ` );const n=[],s=Math.floor(e.length/4),i=e.length%4;for(let o=0;o<s;o++){const a=e.slice(o*4,o*4+4),c=t.slice(o*4,o*4+4);n.push( ` $ { um ( a ) } , $ { um ( c ) } ` )}if(i!==0){let o=e.slice(s*4),a=t.slice(s*4);o.length===1&&(o=o.map(c=> ` float ( $ { c } ) ` ),a=a.map(c=> ` float ( $ { c } ) ` )),n.push( ` $ { um ( o ) } , $ { um ( a ) } ` )}return n.map((o,a)=> ` dot ( $ { o } ) ` ).join("+")}function vS(e){const t=Ot(e).map(n=>n.toString());return `
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int getFlatIndex ( ivec3 coords ) {
return coords . x * $ { t [ 0 ] } + coords . y * $ { t [ 1 ] } + coords . z ;
}
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` }const F0= `
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const float FLOAT _MAX = 1.70141184 e38 ;
const float FLOAT _MIN = 1.17549435 e - 38 ;
lowp vec4 encode _float ( highp float v ) {
if ( isnan ( v ) ) {
return vec4 ( 255 , 255 , 255 , 255 ) ;
}
highp float av = abs ( v ) ;
if ( av < FLOAT _MIN ) {
return vec4 ( 0.0 , 0.0 , 0.0 , 0.0 ) ;
} else if ( v > FLOAT _MAX ) {
return vec4 ( 0.0 , 0.0 , 128.0 , 127.0 ) / 255.0 ;
} else if ( v < - FLOAT _MAX ) {
return vec4 ( 0.0 , 0.0 , 128.0 , 255.0 ) / 255.0 ;
}
highp vec4 c = vec4 ( 0 , 0 , 0 , 0 ) ;
highp float e = floor ( log2 ( av ) ) ;
highp float m = exp2 ( fract ( log2 ( av ) ) ) - 1.0 ;
c [ 2 ] = floor ( 128.0 * m ) ;
m -= c [ 2 ] / 128.0 ;
c [ 1 ] = floor ( 32768.0 * m ) ;
m -= c [ 1 ] / 32768.0 ;
c [ 0 ] = floor ( 8388608.0 * m ) ;
highp float ebias = e + 127.0 ;
c [ 3 ] = floor ( ebias / 2.0 ) ;
ebias -= c [ 3 ] * 2.0 ;
c [ 2 ] += floor ( ebias ) * 128.0 ;
c [ 3 ] += 128.0 * step ( 0.0 , - v ) ;
return c / 255.0 ;
}
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` ;const{getBroadcastDims:_0}=pw;function AK(e,t,n,s){const i=[];e.forEach(L=>{const T=we(L.shapeInfo.logicalShape);L.shapeInfo.isUniform?i.push( ` uniform float $ { L . name } $ { T > 1 ? ` [ ${ T } ] ` : "" } ; ` ):(i.push( ` uniform sampler2D $ { L . name } ; ` ),i.push( ` uniform int offset$ { L . name } ; ` ))});const o=i.join( `
` ),a=e.map(L=>vK(L,t,s)).join( `
` ),c=t.texShape,h=Wn(),d=RK(h);let m,y,b=DK(h);t.isPacked?(m=NK(t.logicalShape,c),y=EK(h)):(m=CK(t.logicalShape,c),y=OK(h)),s&&(b+=WK);const w=[b,d,y,o,m,a,n].join( `
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` );return w}function dc(e){const t=e.shapeInfo.logicalShape;switch(t.length){case 0:return jK(e);case 1:return XK(e);case 2:return ZK(e);case 3:return e5(e);case 4:return n5(e);case 5:return s5(e);case 6:return i5(e);default:throw new Error( ` $ { t . length } - D input sampling is not yet supported ` )}}function W0(e){const t=e.shapeInfo.logicalShape;switch(t.length){case 0:return qK(e);case 1:return KK(e);case 2:return JK(e);case 3:return QK(e);default:return t5(e)}}function vK(e,t,n=!1){let s="";n?s+=W0(e):s+=dc(e);const i=e.shapeInfo.logicalShape,o=t.logicalShape;return i.length<=o.length&&(n?s+=r5(e,t):s+=o5(e,t)),s}function NK(e,t){switch(e.length){case 0:return $ 0();case 1:return $ K(e,t);case 2:return YK(e,t);case 3:return BK(e,t);default:return PK(e,t)}}function CK(e,t){switch(e.length){case 0:return $ 0();case 1:return UK(e,t);case 2:return HK(e,t);case 3:return MK(e,t);case 4:return zK(e,t);case 5:return GK(e,t);case 6:return VK(e,t);default:throw new Error( ` $ { e . length } - D output sampling is not yet supported ` )}}function RK(e){return `
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float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
return $ { e . texture2D } ( textureSampler , uv ) . r ;
}
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` }function OK(e){return `
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void setOutput ( float val ) {
$ { e . output } = vec4 ( val , 0 , 0 , 0 ) ;
}
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` }function EK(e){return `
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void setOutput ( vec4 val ) {
$ { e . output } = val ;
}
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` }function DK(e){const t= ` $ { e . version }
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precision highp float ;
precision highp int ;
precision highp sampler2D ;
$ { e . varyingFs } vec2 resultUV ;
$ { e . defineOutput }
const vec2 halfCR = vec2 ( 0.5 , 0.5 ) ;
struct ivec5
{
int x ;
int y ;
int z ;
int w ;
int u ;
} ;
struct ivec6
{
int x ;
int y ;
int z ;
int w ;
int u ;
int v ;
} ;
uniform float NAN ;
$ { e . defineSpecialNaN }
$ { e . defineSpecialInf }
$ { e . defineRound }
int imod ( int x , int y ) {
return x - y * ( x / y ) ;
}
int idiv ( int a , int b , float sign ) {
int res = a / b ;
int mod = imod ( a , b ) ;
if ( sign < 0. && mod != 0 ) {
res -= 1 ;
}
return res ;
}
//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
# define HASHSCALE1 443.8975
float random ( float seed ) {
vec2 p = resultUV * seed ;
vec3 p3 = fract ( vec3 ( p . xyx ) * HASHSCALE1 ) ;
p3 += dot ( p3 , p3 . yzx + 19.19 ) ;
return fract ( ( p3 . x + p3 . y ) * p3 . z ) ;
}
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$ { kK }
$ { FK }
$ { _K }
` ;return t}const kK= `
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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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` ,FK= `
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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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` ,_K= `
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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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` ,WK= `
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float getChannel ( vec4 frag , vec2 innerDims ) {
vec2 modCoord = mod ( innerDims , 2. ) ;
return modCoord . x == 0. ?
( modCoord . y == 0. ? frag . r : frag . g ) :
( modCoord . y == 0. ? frag . b : frag . a ) ;
}
float getChannel ( vec4 frag , int dim ) {
float modCoord = mod ( float ( dim ) , 2. ) ;
return modCoord == 0. ? frag . r : frag . g ;
}
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` ;function $ 0(){return `
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int getOutputCoords ( ) {
return 0 ;
}
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` }function $ K(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1? `
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int getOutputCoords ( ) {
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return 2 * int ( resultUV . x * $ { n [ 1 ] } . 0 ) ;
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}
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` :n[1]===1? `
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int getOutputCoords ( ) {
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return 2 * int ( resultUV . y * $ { n [ 0 ] } . 0 ) ;
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}
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
return 2 * ( resTexRC . x * $ { n [ 1 ] } + resTexRC . y ) ;
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}
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` }function UK(e,t){return t[0]===1? `
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int getOutputCoords ( ) {
return int ( resultUV . x * $ { t [ 1 ] } . 0 ) ;
}
` :t[1]===1? `
int getOutputCoords ( ) {
return int ( resultUV . y * $ { t [ 0 ] } . 0 ) ;
}
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
return resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
}
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` }function BK(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],s=Math.ceil(e[2]/2),i=s*Math.ceil(e[1]/2);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
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int b = index / $ { i } ;
index -= b * $ { i } ;
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int r = 2 * ( index / $ { s } ) ;
int c = imod ( index , $ { s } ) * 2 ;
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return ivec3 ( b , r , c ) ;
}
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` }function MK(e,t){const n=jo(["r","c","d"],e);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
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$ { n }
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return ivec3 ( r , c , d ) ;
}
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` }function PK(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],s=Math.ceil(e[e.length-1]/2),i=s*Math.ceil(e[e.length-2]/2);let o=i,a="",c="b, r, c";for(let h=2;h<e.length-1;h++)o*=e[e.length-h-1],a= `
int b$ { h } = index / $ { o } ;
index -= b$ { h } * $ { o } ;
` +a,c= ` b$ { h } , ` +c;return `
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ivec$ { e . length } getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
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$ { a }
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int b = index / $ { i } ;
index -= b * $ { i } ;
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int r = 2 * ( index / $ { s } ) ;
int c = imod ( index , $ { s } ) * 2 ;
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return ivec$ { e . length } ( $ { c } ) ;
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}
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` }function zK(e,t){const n=jo(["r","c","d","d2"],e);return `
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ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
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$ { n }
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return ivec4 ( r , c , d , d2 ) ;
}
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` }function GK(e,t){const n=jo(["r","c","d","d2","d3"],e);return `
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ivec5 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } ,
$ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
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$ { n }
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ivec5 outShape = ivec5 ( r , c , d , d2 , d3 ) ;
return outShape ;
}
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` }function VK(e,t){const n=jo(["r","c","d","d2","d3","d4"],e);return `
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ivec6 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
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$ { n }
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ivec6 result = ivec6 ( r , c , d , d2 , d3 , d4 ) ;
return result ;
}
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` }function YK(e,t){const n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(ot(e,t))return `
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ivec2 getOutputCoords ( ) {
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return 2 * ivec2 ( resultUV . yx * vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
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}
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` ;const s=Math.ceil(e[1]/2);return `
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ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
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vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
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int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
int r = 2 * ( index / $ { s } ) ;
int c = imod ( index , $ { s } ) * 2 ;
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return ivec2 ( r , c ) ;
}
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` }function HK(e,t){return ot(e,t)? `
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ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
}
` :e[1]===1? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( index , 0 ) ;
}
` :e[0]===1? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( 0 , index ) ;
}
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
int r = index / $ { e [ 1 ] } ;
int c = index - r * $ { e [ 1 ] } ;
return ivec2 ( r , c ) ;
}
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` }function Ko(e){return ` offset$ { e } ` }function qK(e){const t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),s=Wn();return `
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vec4 $ { n } ( ) {
return $ { s . texture2D } ( $ { t } , halfCR ) ;
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}
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` }function jK(e){const t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return ` float $ { n } ( ) { return $ { t } ; } ` ;const[s,i]=e.shapeInfo.texShape;if(s===1&&i===1)return `
float $ { n } ( ) {
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return sampleTexture ( $ { t } , halfCR ) ;
}
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` ;const[o,a]=e.shapeInfo.texShape,c=Ko(t);return `
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float $ { n } ( ) {
vec2 uv = uvFromFlat ( $ { o } , $ { a } , $ { c } ) ;
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return sampleTexture ( $ { t } , uv ) ;
}
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` }function KK(e){const t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),s=e.shapeInfo.texShape,i=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],o=Wn();return `
vec4 $ { n } ( int index ) {
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vec2 uv = packedUVfrom1D (
$ { i [ 0 ] } , $ { i [ 1 ] } , index ) ;
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return $ { o . texture2D } ( $ { t } , uv ) ;
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}
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` }function XK(e){const t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return `
float $ { n } ( int index ) {
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$ { pc ( e ) }
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}
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` ;const s=e.shapeInfo.texShape,i=s[0],o=s[1];if(o===1&&i===1)return `
float $ { n } ( int index ) {
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return sampleTexture ( $ { t } , halfCR ) ;
}
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` ;const a=Ko(t);return o===1? `
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float $ { n } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { a } ) + 0.5 ) / $ { i } . 0 ) ;
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return sampleTexture ( $ { t } , uv ) ;
}
` :i===1? `
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float $ { n } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { a } ) + 0.5 ) / $ { o } . 0 , 0.5 ) ;
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return sampleTexture ( $ { t } , uv ) ;
}
` : `
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float $ { n } ( int index ) {
vec2 uv = uvFromFlat ( $ { i } , $ { o } , index + $ { a } ) ;
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return sampleTexture ( $ { t } , uv ) ;
}
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` }function JK(e){const t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e.shapeInfo.texShape,o=i[0],a=i[1],c=Wn();if(i!=null&&ot(t,i))return `
vec4 $ { s } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { a } . 0 , $ { o } . 0 ) ;
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return $ { c . texture2D } ( $ { n } , uv ) ;
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}
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` ;const h=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],d=Math.ceil(t[1]/2);return `
vec4 $ { s } ( int row , int col ) {
vec2 uv = packedUVfrom2D ( $ { d } , $ { h [ 0 ] } , $ { h [ 1 ] } , row , col ) ;
return $ { c . texture2D } ( $ { n } , uv ) ;
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}
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` }function ZK(e){const t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e.shapeInfo.texShape;if(i!=null&&ot(t,i)){const y=i[0],b=i[1];return `
float $ { s } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { b } . 0 , $ { y } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }const{newShape:o,keptDims:a}=Ir(t),c=o;if(c.length<t.length){const y=mc(e,c),b=["row","col"];return `
$ { dc ( y ) }
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float $ { s } ( int row , int col ) {
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return $ { s } ( $ { fc ( b , a ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
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float $ { s } ( int row , int col ) {
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int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { t [ 1 ] } , 1 ) ) ) ;
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$ { pc ( e ) }
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}
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` ;const h=i[0],d=i[1],m=Ko(n);return d===1? `
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float $ { s } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { m } ) , vec3 ( $ { t [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / $ { h } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` :h===1? `
float $ { s } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { m } ) , vec3 ( $ { t [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / $ { d } . 0 , 0.5 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
` : `
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float $ { s } ( int row , int col ) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { t [ 1 ] } + col + $ { m } ;
vec2 uv = uvFromFlat ( $ { h } , $ { d } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }function QK(e){const t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),i=e.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)];if(t[0]===1){const y=t.slice(1),b=[1,2],w=mc(e,y),L=["b","row","col"];return `
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$ { W0 ( w ) }
vec4 $ { s } ( int b , int row , int col ) {
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return $ { s } ( $ { fc ( L , b ) } ) ;
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}
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` }const a=o[0],c=o[1],h=Math.ceil(t[2]/2),d=h*Math.ceil(t[1]/2),m=Wn();return `
vec4 $ { s } ( int b , int row , int col ) {
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vec2 uv = packedUVfrom3D (
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$ { a } , $ { c } , $ { d } , $ { h } , b , row , col ) ;
return $ { m . texture2D } ( $ { n } , uv ) ;
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}
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` }function e5(e){const t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t[1]*t[2],o=t[2],{newShape:a,keptDims:c}=Ir(t),h=a;if(h.length<t.length){const L=mc(e,h),T=["row","col","depth"];return `
$ { dc ( L ) }
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float $ { s } ( int row , int col , int depth ) {
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return $ { s } ( $ { fc ( T , c ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
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float $ { s } ( int row , int col , int depth ) {
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int index = round ( dot ( vec3 ( row , col , depth ) ,
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vec3 ( $ { i } , $ { o } , 1 ) ) ) ;
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$ { pc ( e ) }
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}
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` ;const d=e.shapeInfo.texShape,m=d[0],y=d[1],b=e.shapeInfo.flatOffset;if(y===i&&b==null)return `
float $ { s } ( int row , int col , int depth ) {
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float texR = float ( row ) ;
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float texC = dot ( vec2 ( col , depth ) , vec2 ( $ { o } , 1 ) ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { y } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(y===o&&b==null)return `
float $ { s } ( int row , int col , int depth ) {
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float texR = dot ( vec2 ( row , col ) , vec2 ( $ { t [ 1 ] } , 1 ) ) ;
float texC = float ( depth ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { y } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;const w=Ko(n);return `
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float $ { s } ( int row , int col , int depth ) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { i } + col * $ { o } + depth + $ { w } ;
vec2 uv = uvFromFlat ( $ { m } , $ { y } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` }function t5(e){const t=e.shapeInfo.logicalShape,n=t.length,s=e.name,i="get"+s.charAt(0).toUpperCase()+s.slice(1),o=e.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],c=a[0],h=a[1],d=Math.ceil(t[n-1]/2);let m=d*Math.ceil(t[n-2]/2),y="int b, int row, int col",b= ` b * $ { m } + ( row / 2 ) * $ { d } + ( col / 2 ) ` ;for(let L=2;L<n-1;L++)y= ` int b$ { L } , ` +y,m*=t[n-L-1],b= ` b$ { L } * $ { m } + ` +b;const w=Wn();return `
vec4 $ { i } ( $ { y } ) {
int index = $ { b } ;
int texR = index / $ { h } ;
int texC = index - texR * $ { h } ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { h } , $ { c } ) ;
return $ { w . texture2D } ( $ { s } , uv ) ;
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}
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` }function n5(e){const t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t[3],o=t[2]*i,a=t[1]*o,{newShape:c,keptDims:h}=Ir(t);if(c.length<t.length){const L=mc(e,c),T=["row","col","depth","depth2"];return `
$ { dc ( L ) }
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float $ { s } ( int row , int col , int depth , int depth2 ) {
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return $ { s } ( $ { fc ( T , h ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
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float $ { s } ( int row , int col , int depth , int depth2 ) {
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int index = round ( dot ( vec4 ( row , col , depth , depth2 ) ,
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vec4 ( $ { a } , $ { o } , $ { i } , 1 ) ) ) ;
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$ { pc ( e ) }
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}
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` ;const d=e.shapeInfo.flatOffset,m=e.shapeInfo.texShape,y=m[0],b=m[1];if(b===a&&d==null)return `
float $ { s } ( int row , int col , int depth , int depth2 ) {
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float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
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vec3 ( $ { o } , $ { i } , 1 ) ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { b } . 0 , $ { y } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(b===i&&d==null)return `
float $ { s } ( int row , int col , int depth , int depth2 ) {
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float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { t [ 1 ] * t [ 2 ] } , $ { t [ 2 ] } , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { b } . 0 , $ { y } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;const w=Ko(n);return `
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float $ { s } ( int row , int col , int depth , int depth2 ) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { a } + col * $ { o } +
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depth * $ { i } + depth2 ;
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vec2 uv = uvFromFlat ( $ { y } , $ { b } , index + $ { w } ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }function s5(e){const t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),i=t[4],o=t[3]*i,a=t[2]*o,c=t[1]*a,{newShape:h,keptDims:d}=Ir(t);if(h.length<t.length){const T=mc(e,h),A=["row","col","depth","depth2","depth3"];return `
$ { dc ( T ) }
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float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
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return $ { s } ( $ { fc ( A , d ) } ) ;
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}
` }if(e.shapeInfo.isUniform)return `
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float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
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float index = dot (
vec4 ( row , col , depth , depth2 ) ,
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vec4 ( $ { c } , $ { a } , $ { o } , $ { i } ) ) +
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depth3 ;
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$ { pc ( e ) }
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}
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` ;const m=e.shapeInfo.flatOffset,y=e.shapeInfo.texShape,b=y[0],w=y[1];if(w===c&&m==null)return `
float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
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int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
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vec4 ( $ { a } , $ { o } , $ { i } , 1 ) ) ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { w } . 0 , $ { b } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(w===i&&m==null)return `
float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
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float texR = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] } ,
$ { t [ 2 ] * t [ 3 ] } , $ { t [ 3 ] } , 1 ) ) ;
int texC = depth3 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { w } . 0 , $ { b } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;const L=Ko(n);return `
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float $ { s } ( int row , int col , int depth , int depth2 , int depth3 ) {
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// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { c } + col * $ { a } + depth * $ { o } +
depth2 * $ { i } + depth3 + $ { L } ;
vec2 uv = uvFromFlat ( $ { b } , $ { w } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }function i5(e){const t=e.shapeInfo.logicalShape,n=e.name,s="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:i,keptDims:o}=Ir(t);if(i.length<t.length){const A=mc(e,i),N=["row","col","depth","depth2","depth3","depth4"];return `
$ { dc ( A ) }
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float $ { s } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
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return $ { s } ( $ { fc ( N , o ) } ) ;
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}
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` }const a=t[5],c=t[4]*a,h=t[3]*c,d=t[2]*h,m=t[1]*d;if(e.shapeInfo.isUniform)return `
float $ { s } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
int index = round ( dot (
vec4 ( row , col , depth , depth2 ) ,
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vec4 ( $ { m } , $ { d } , $ { h } , $ { c } ) ) +
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dot (
vec2 ( depth3 , depth4 ) ,
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vec2 ( $ { a } , 1 ) ) ) ;
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$ { pc ( e ) }
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}
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` ;const y=e.shapeInfo.flatOffset,b=e.shapeInfo.texShape,w=b[0],L=b[1];if(L===m&&y==null)return `
float $ { s } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
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vec4 ( $ { d } , $ { h } , $ { c } , $ { a } ) ) +
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float ( depth4 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { L } . 0 , $ { w } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(L===a&&y==null)return `
float $ { s } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
float texR = dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 3 ] * t [ 4 ] } ,
$ { t [ 4 ] } ) ) + float ( depth3 ) ;
int texC = depth4 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { L } . 0 , $ { w } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;const T=Ko(n);return `
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float $ { s } ( int row , int col , int depth ,
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int depth2 , int depth3 , int depth4 ) {
// Explicitly use integer operations as dot() only works on floats.
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int index = row * $ { m } + col * $ { d } + depth * $ { h } +
depth2 * $ { c } + depth3 * $ { a } + depth4 + $ { T } ;
vec2 uv = uvFromFlat ( $ { w } , $ { L } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` }function pc(e){const t=e.name,n=we(e.shapeInfo.logicalShape);return n<2? ` return $ { t } ; ` : `
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for ( int i = 0 ; i < $ { n } ; i ++ ) {
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if ( i == index ) {
return $ { t } [ i ] ;
}
}
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` }function r5(e,t){const n=e.name,s=n.charAt(0).toUpperCase()+n.slice(1),i="get"+s+"AtOutCoords",o=e.shapeInfo.logicalShape.length,a=t.logicalShape.length,c=_0(e.shapeInfo.logicalShape,t.logicalShape),h=Et(a),d=a-o;let m;const y=["x","y","z","w","u","v"];o===0?m="":a<2&&c.length>=1?m="coords = 0;":m=c.map(E=> ` coords . $ { y [ E + d ] } = 0 ; ` ).join( `
` );let b="";a<2&&o>0?b="coords":b=e.shapeInfo.logicalShape.map((E,D)=> ` coords . $ { y [ D + d ] } ` ).join(", ");let w="return outputValue;";const L=we(e.shapeInfo.logicalShape),T=L===1,A=we(t.logicalShape),N=A===1;if(o===1&&!T&&!N)w= `
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return vec4 ( outputValue . xy , outputValue . xy ) ;
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` ;else if(T&&!N)a===1?w= `
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return vec4 ( outputValue . x , outputValue . x , 0. , 0. ) ;
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` :w= `
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return vec4 ( outputValue . x ) ;
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` ;else if(c.length){const E=o-2,D=o-1;c.indexOf(E)>-1&&c.indexOf(D)>-1?w="return vec4(outputValue.x);":c.indexOf(E)>-1?w="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":c.indexOf(D)>-1&&(w="return vec4(outputValue.xx, outputValue.zz);")}return `
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vec4 $ { i } ( ) {
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$ { h } coords = getOutputCoords ( ) ;
$ { m }
vec4 outputValue = get$ { s } ( $ { b } ) ;
$ { w }
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}
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` }function o5(e,t){const n=e.name,s=n.charAt(0).toUpperCase()+n.slice(1),i="get"+s+"AtOutCoords",o=t.texShape,a=e.shapeInfo.texShape,c=e.shapeInfo.logicalShape.length,h=t.logicalShape.length;if(!e.shapeInfo.isUniform&&c===h&&e.shapeInfo.flatOffset==null&&ot(a,o))return `
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float $ { i } ( ) {
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return sampleTexture ( $ { n } , resultUV ) ;
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}
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` ;const d=Et(h),m=_0(e.shapeInfo.logicalShape,t.logicalShape),y=h-c;let b;const w=["x","y","z","w","u","v"];c===0?b="":h<2&&m.length>=1?b="coords = 0;":b=m.map(T=> ` coords . $ { w [ T + y ] } = 0 ; ` ).join( `
` );let L="";return h<2&&c>0?L="coords":L=e.shapeInfo.logicalShape.map((T,A)=> ` coords . $ { w [ A + y ] } ` ).join(", "), `
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float $ { i } ( ) {
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$ { d } coords = getOutputCoords ( ) ;
$ { b }
return get$ { s } ( $ { L } ) ;
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}
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` }function Et(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error( ` GPU for rank $ { e } is not yet supported ` )}function mc(e,t){const n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function fc(e,t){return t.map(n=>e[n]).join(", ")}class a5{constructor(e,t,n,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,k(e.length>2,()=> ` Packed arg$ { n . charAt ( 0 ) . toUpperCase ( ) + n . slice ( 1 ) } supports only inputs with rank above 2. ` );const i=e[e.length-1],o=Math.ceil(i/t);this.outputShape=e.slice(0,-1),o>1&&this.outputShape.push(o),s||this.variableNames.push("bestIndicesA");const a=this.outputShape,c=a.length,h=Et(c),d=ls("coords",c);let m,y;if(o===1){y=c+1;const $ =Et(y);m= `
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$ { $ } sourceLocR = $ { $ } ( $ { d . join ( ) } , 0 ) ;
++ $ { d [ c - 1 ] } ;
$ { $ } sourceLocG = $ { $ } ( $ { d . join ( ) } , 0 ) ;
++ $ { d [ c - 2 ] } ;
$ { $ } sourceLocA = $ { $ } ( $ { d . join ( ) } , 0 ) ;
-- $ { d [ c - 1 ] } ;
$ { $ } sourceLocB = $ { $ } ( $ { d . join ( ) } , 0 ) ;
-- $ { d [ c - 2 ] } ; ` }else y=c,m= `
$ { h } sourceLocR = coords ;
++ $ { d [ c - 1 ] } ;
$ { h } sourceLocG = coords ;
++ $ { d [ c - 2 ] } ;
$ { h } sourceLocA = coords ;
-- $ { d [ c - 1 ] } ;
$ { h } sourceLocB = coords ;
-- $ { d [ c - 2 ] } ; ` ;const b=["x","y","z","w","u","v"].slice(0,y),w="."+b[y-1],L=b.map( $ =>"int "+ $ ),T=ls("sourceLocR",y-1).concat("inIdx.r"),A=ls("sourceLocG",y-1).concat("inIdx.g"),N=ls("sourceLocB",y-1).concat("inIdx.b"),E=ls("sourceLocA",y-1).concat("inIdx.a"),D=n==="max"?"greaterThan":"lessThan",F=s?"": `
inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { T . join ( ) } ) ,
getBestIndicesAChannel ( $ { A . join ( ) } ) ,
getBestIndicesAChannel ( $ { N . join ( ) } ) ,
getBestIndicesAChannel ( $ { E . join ( ) } ) ) ) ; ` ,_= ` vec4 (
getAChannel ( $ { T . join ( ) } ) ,
hasNextCol ? getAChannel ( $ { A . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { N . join ( ) } ) : 0. ,
hasNextRow && hasNextCol ? getAChannel ( $ { E . join ( ) } ) : 0. ) ` ,B=s?"": `
float getBestIndicesAChannel ( $ { L . join ( ) } ) {
return getChannel ( getBestIndicesA ( $ { b . join ( ) } ) ,
vec2 ( $ { b . slice ( - 2 ) . join ( ) } ) ) ;
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} ` ;this.userCode= `
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float getAChannel ( $ { L . join ( ) } ) {
return getChannel ( getA ( $ { b . join ( ) } ) ,
vec2 ( $ { b . slice ( - 2 ) . join ( ) } ) ) ;
}
$ { B }
void main ( ) {
$ { h } coords = getOutputCoords ( ) ;
bool hasNextCol = $ { d [ c - 1 ] } < $ { a [ c - 1 ] - 1 } ;
bool hasNextRow = $ { d [ c - 2 ] } < $ { a [ c - 2 ] - 1 } ;
$ { m }
ivec4 srcIdx = ivec4 ( sourceLocR$ { w } , sourceLocG$ { w } ,
sourceLocB$ { w } , sourceLocA$ { w } ) * $ { t } ;
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ivec4 inIdx = srcIdx ;
vec4 bestIndex = vec4 ( inIdx ) ;
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vec4 bestValue = $ { _ } ;
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for ( int i = 0 ; i < $ { t } ; i ++ ) {
inIdx = srcIdx ;
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$ { F }
vec4 candidate = $ { _ } ;
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bvec4 nan = isnan ( candidate ) ;
bvec4 replace = bvec4 (
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vec4 ( $ { D } ( 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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` }}class c5{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;const t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,i=e.strideWidth,o=e.dilationHeight,a=e.dilationWidth,c=e.effectiveFilterHeight,h=e.effectiveFilterWidth,d=c-1-e.padInfo.top,m=h-1-e.padInfo.left,y=1/(t*n);this.userCode= `
const ivec2 pads = ivec2 ( $ { d } , $ { m } ) ;
const float avgMultiplier = float ( $ { y } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { c } ;
wR += $ { o } ) {
float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { h } ;
wC += $ { a } ) {
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float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( b , idyR , idyC , d ) ;
dotProd += dyValue * avgMultiplier ;
}
}
setOutput ( dotProd ) ;
}
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` }}class l5{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;const t=e.filterDepth,n=e.filterHeight,s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,a=e.strideWidth,c=e.dilationDepth,h=e.dilationHeight,d=e.dilationWidth,m=e.effectiveFilterDepth,y=e.effectiveFilterHeight,b=e.effectiveFilterWidth,w=m-1-e.padInfo.front,L=y-1-e.padInfo.top,T=b-1-e.padInfo.left,A=1/(t*n*s);this.userCode= `
const ivec3 pads = ivec3 ( $ { w } , $ { L } , $ { T } ) ;
const float avgMultiplier = float ( $ { A } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wD = 0 ; wD < $ { m } ;
wD += $ { c } ) {
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float dyD = float ( dyDCorner + wD ) / $ { i } . 0 ;
if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
}
int idyD = int ( dyD ) ;
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for ( int wR = 0 ; wR < $ { y } ;
wR += $ { h } ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { b } ;
wC += $ { d } ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
dotProd += dyValue * avgMultiplier ;
}
}
}
setOutput ( dotProd ) ;
}
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` }}const U0={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"};class B0{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=tt(t,n),this.userCode= `
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float binaryOpComplex (
float areal , float aimag , float breal , float bimag ) {
$ { e }
}
void main ( ) {
float areal = getARealAtOutCoords ( ) ;
float aimag = getAImagAtOutCoords ( ) ;
float breal = getBRealAtOutCoords ( ) ;
float bimag = getBImagAtOutCoords ( ) ;
setOutput ( binaryOpComplex ( areal , aimag , breal , bimag ) ) ;
}
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` }}const M0= `
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,NS="return a + b;",CS="return a - b;",P0="return a * b;",h5= `
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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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` ,u5= `
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if ( a < 0.0 && floor ( b ) < b ) {
return NAN ;
}
if ( b == 0.0 ) {
return 1.0 ;
}
return ( round ( mod ( b , 2.0 ) ) != 1 ) ?
pow ( abs ( a ) , b ) : sign ( a ) * pow ( abs ( a ) , b ) ;
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` ,wee="return (a - b) * (a - b);",d5="return float(a == b);",p5="return float(a != b);",m5="return float(a < b);",f5="return float(a <= b);",g5="return float(a > b);",y5="return float(a >= b);",b5="return float(a >= 1.0 && b >= 1.0);",w5="return float(a >= 1.0 || b >= 1.0);",L5=M0+ `
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return max ( a , b ) ;
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` ,S5=M0+ `
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return min ( a , b ) ;
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` ,I5= ` if ( b == 0.0 ) return NAN ;
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return mod ( a , b ) ; ` ,x5="return (b >= 1.0) ? a : a * (b + 1.0);",z0="return (a < 0.) ? b * a : a;";class hn{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=tt(t,n),this.userCode= `
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float binaryOperation ( float a , float b ) {
$ { e }
}
void main ( ) {
float a = getAAtOutCoords ( ) ;
float b = getBAtOutCoords ( ) ;
setOutput ( binaryOperation ( a , b ) ) ;
}
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` }}const dm= `
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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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` ,T5= `
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ivec4 ia = round ( a ) ;
ivec4 ib = round ( b ) ;
bvec4 cond = notEqual ( ib , ivec4 ( 0 ) ) ;
ivec4 result = ivec4 ( 0 ) ;
vec4 s = sign ( a ) * sign ( b ) ;
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if ( cond [ 0 ] ) {
result [ 0 ] = idiv ( ia [ 0 ] , ib [ 0 ] , s [ 0 ] ) ;
}
if ( cond [ 1 ] ) {
result [ 1 ] = idiv ( ia [ 1 ] , ib [ 1 ] , s [ 1 ] ) ;
}
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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` ,A5= `
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// isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
vec4 isModRound1 = vec4 ( equal ( round ( mod ( b , 2.0 ) ) , ivec4 ( 1 ) ) ) ;
vec4 multiplier = sign ( a ) * isModRound1 + ( vec4 ( 1.0 ) - isModRound1 ) ;
vec4 result = multiplier * pow ( abs ( a ) , b ) ;
// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
bvec4 isExpZero = equal ( b , vec4 ( 0.0 ) ) ;
result . r = isExpZero . r ? 1.0 : result . r ;
result . g = isExpZero . g ? 1.0 : result . g ;
result . b = isExpZero . b ? 1.0 : result . b ;
result . a = isExpZero . a ? 1.0 : result . a ;
vec4 isNaN = vec4 ( lessThan ( a , vec4 ( 0.0 ) ) ) * vec4 ( lessThan ( floor ( b ) , b ) ) ;
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` +dm+ `
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return result ;
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` ,G0= `
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vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
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` ,v5= `
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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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` ,N5= `
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return vec4 ( equal ( a , b ) ) ;
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` ,C5= `
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return vec4 ( notEqual ( a , b ) ) ;
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` ,R5= `
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return vec4 ( lessThan ( a , b ) ) ;
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` ,O5= `
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return vec4 ( lessThanEqual ( a , b ) ) ;
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` ,E5= `
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return vec4 ( greaterThan ( a , b ) ) ;
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` ,D5= `
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return vec4 ( greaterThanEqual ( a , b ) ) ;
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` ,k5= `
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return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
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` ,F5= `
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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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` ,_5= `
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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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` +dm+ `
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return result ;
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` ,W5= `
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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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` +dm+ `
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return result ;
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` , $ 5= `
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vec4 result = mod ( a , b ) ;
vec4 isNaN = vec4 ( equal ( b , vec4 ( 0.0 ) ) ) ;
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` +dm+ `
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return result ;
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` ;class jr{constructor(e,t,n,s=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=tt(t,n);const i=this.outputShape.length;let o="";if(s)if(i===0||we(this.outputShape)===1)o= `
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result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
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` ;else{const a=Et(i);if(o= `
$ { a } coords = getOutputCoords ( ) ;
` ,i===1)o+= `
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result . y = ( coords + 1 ) >= $ { this . outputShape [ 0 ] } ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
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` ;else{const c=ls("coords",i);o+= `
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bool nextRowOutOfBounds =
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( $ { c [ i - 2 ] } + 1 ) >= $ { this . outputShape [ i - 2 ] } ;
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bool nextColOutOfBounds =
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( $ { c [ i - 1 ] } + 1 ) >= $ { this . outputShape [ i - 1 ] } ;
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result . y = nextColOutOfBounds ? 0. : result . y ;
result . z = nextRowOutOfBounds ? 0. : result . z ;
result . w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result . w ;
` }}this.userCode= `
vec4 binaryOperation ( vec4 a , vec4 b ) {
$ { e }
}
void main ( ) {
vec4 a = getAAtOutCoords ( ) ;
vec4 b = getBAtOutCoords ( ) ;
vec4 result = binaryOperation ( a , b ) ;
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$ { o }
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setOutput ( result ) ;
}
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` }}class U5{constructor(e){this.variableNames=["A"],this.outputShape=e,this.userCode= `
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uniform float minVal ;
uniform float maxVal ;
void main ( ) {
float value = getAAtOutCoords ( ) ;
if ( isnan ( value ) ) {
setOutput ( value ) ;
return ;
}
setOutput ( clamp ( value , minVal , maxVal ) ) ;
}
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` }getCustomSetupFunc(e,t){return(n,s)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(s,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(s,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}}class B5{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode= `
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uniform float minVal ;
uniform float maxVal ;
void main ( ) {
vec4 value = getAAtOutCoords ( ) ;
if ( any ( isnan ( value ) ) ) {
setOutput ( value ) ;
return ;
}
setOutput ( clamp ( value , vec4 ( minVal ) , vec4 ( maxVal ) ) ) ;
}
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` }getCustomSetupFunc(e,t){return(n,s)=>{this.minLoc==null&&(this.minLoc=n.getUniformLocationNoThrow(s,"minVal"),this.maxLoc=n.getUniformLocationNoThrow(s,"maxVal")),n.gl.uniform1f(this.minLoc,e),n.gl.uniform1f(this.maxLoc,t)}}}class M5{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode= `
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void main ( ) {
float re = abs ( getRealAtOutCoords ( ) ) ;
float im = abs ( getImagAtOutCoords ( ) ) ;
float mx = max ( re , im ) ;
// sadly the length function in glsl is not underflow-safe
// (at least not on Intel GPUs). So the safe solution is
// to ensure underflow-safety in all cases.
setOutput (
mx == 0.0 ? 0.0 : mx * length ( vec2 ( 1 , min ( re , im ) / mx ) )
) ;
}
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` }}class P5{constructor(e){this.outputShape=[],this.outputShape=Er(e,1),this.variableNames=e.map((o,a)=> ` T$ { a } ` );const t=new Array(e.length-1);t[0]=e[0][1];for(let o=1;o<t.length;o++)t[o]=t[o-1]+e[o][1];const n=[ ` if ( yC < $ { t [ 0 ] } ) setOutput ( getT0 ( yR , yC ) ) ; ` ];for(let o=1;o<t.length;o++){const a=t[o-1];n.push( ` else if ( yC < $ { t [ o ] } ) setOutput ( getT$ { o } ( yR , yC - $ { a } ) ) ; ` )}const s=t.length,i=t[t.length-1];n.push( ` else setOutput ( getT$ { s } ( yR , yC - $ { i } ) ) ; ` ),this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int yR = coords . x ;
int yC = coords . y ;
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$ { n . join ( `
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` )}
}
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` }}class z5{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=Er(e,t);const n=this.outputShape,s=n.length,i=Et(s),o=ls("coords",s),a=["x","y","z","w","u","v"].slice(0,s);this.variableNames=e.map((L,T)=> ` T$ { T } ` );const c=new Array(e.length-1);c[0]=e[0][t];for(let L=1;L<c.length;L++)c[L]=c[L-1]+e[L][t];const h=a[t],d=a.slice(-2),m=a.join();let y= ` if ( $ { h } < $ { c [ 0 ] } ) {
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return getChannel (
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getT0 ( $ { m } ) , vec2 ( $ { d . join ( ) } ) ) ;
} ` ;for(let L=1;L<c.length;L++){const T=c[L-1];y+= `
if ( $ { h } < $ { c [ L ] } && $ { h } >= $ { c [ L - 1 ] } ) {
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return getChannel (
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getT$ { L } ( $ { pm ( a , h , T ) } ) ,
vec2 ( $ { pm ( d , h , T ) } ) ) ;
} ` }const b=c.length,w=c[c.length-1];y+= `
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return getChannel (
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getT$ { b } ( $ { pm ( a , h , w ) } ) ,
vec2 ( $ { pm ( d , h , w ) } ) ) ; ` ,this.userCode= `
float getValue ( $ { a . map ( L => "int " + L ) } ) {
$ { y }
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}
void main ( ) {
$ { i } coords = getOutputCoords ( ) ;
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vec4 result = vec4 ( getValue ( $ { o } ) , 0. , 0. , 0. ) ;
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$ { o [ s - 1 ] } = $ { o [ s - 1 ] } + 1 ;
if ( $ { o [ s - 1 ] } < $ { n [ s - 1 ] } ) {
result . g = getValue ( $ { o } ) ;
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}
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$ { o [ s - 2 ] } = $ { o [ s - 2 ] } + 1 ;
if ( $ { o [ s - 2 ] } < $ { n [ s - 2 ] } ) {
result . a = getValue ( $ { o } ) ;
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}
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$ { o [ s - 1 ] } = $ { o [ s - 1 ] } - 1 ;
if ( $ { o [ s - 2 ] } < $ { n [ s - 2 ] } &&
$ { o [ s - 1 ] } < $ { n [ s - 1 ] } ) {
result . b = getValue ( $ { o } ) ;
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}
setOutput ( result ) ;
}
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` }}function pm(e,t,n){const s=e.indexOf(t),i=e.map((o,a)=>a===s? ` $ { o } - $ { n } ` :o);return i.join()}class G5{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;const t=e.strideHeight,n=e.strideWidth,s=e.padInfo.top,i=e.padInfo.left,o=e.dataFormat==="channelsLast";this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int d2 = coords . w ;
// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
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int xR = wR + yR * $ { t } - $ { s } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
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int xC = wC + yC * $ { n } - $ { i } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
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if ( $ { o } ) {
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float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
} else {
float dyValue = getDy ( b , d2 , yR , yC ) ;
float xValue = getX ( b , d1 , xR , xC ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
}
setOutput ( dotProd ) ;
}
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` }}class V5{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;const t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,i=e.strideWidth,o=e.dataFormat==="channelsLast",a=t-1-e.padInfo.top,c=n-1-e.padInfo.left,h=o?1:2,d=o?2:3,m=o?3:1;this.userCode= `
const ivec2 pads = ivec2 ( $ { a } , $ { c } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
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int d1 = coords [ $ { m } ] ;
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ivec2 dyCorner = ivec2 ( coords [ $ { h } ] , coords [ $ { d } ] ) - pads ;
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int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
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float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
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float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . 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 < $ { e . outChannels } ; d2 ++ ) {
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if ( $ { o } ) {
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float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
} else {
float xValue = getDy ( batch , d2 , idyR , idyC ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
}
}
}
setOutput ( dotProd ) ;
}
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` }}class Y5{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;const t=e.strideDepth,n=e.strideHeight,s=e.strideWidth,i=e.padInfo.front,o=e.padInfo.top,a=e.padInfo.left;this.userCode= `
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int wF = coords . x ;
int wR = coords . y ;
int wC = coords . z ;
int d1 = coords . w ;
int d2 = coords . u ;
float dotProd = 0.0 ;
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yF = 0 ; yF < $ { e . outDepth } ; yF ++ ) {
int xF = wF + yF * $ { t } - $ { i } ;
if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
}
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
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int xR = wR + yR * $ { n } - $ { o } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
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int xC = wC + yC * $ { s } - $ { a } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float dyValue = getDy ( b , yF , yR , yC , d2 ) ;
float xValue = getX ( b , xF , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
}
setOutput ( dotProd ) ;
}
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` }}class H5{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;const t=e.filterDepth,n=e.filterHeight,s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,a=e.strideWidth,c=t-1-e.padInfo.front,h=n-1-e.padInfo.top,d=s-1-e.padInfo.left;this.userCode= `
const ivec3 pads = ivec3 ( $ { c } , $ { h } , $ { d } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyFCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
float dotProd = 0.0 ;
for ( int wF = 0 ; wF < $ { t } ; wF ++ ) {
float dyF = float ( dyFCorner + wF ) / $ { i } . 0 ;
if ( dyF < 0.0 || dyF >= $ { e . outDepth } . 0 || fract ( dyF ) > 0.0 ) {
continue ;
}
int idyF = int ( dyF ) ;
int wFPerm = $ { t } - 1 - wF ;
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for ( int wR = 0 ; wR < $ { n } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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int wRPerm = $ { n } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { s } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { s } - 1 - wC ;
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for ( int d2 = 0 ; d2 < $ { e . outChannels } ; d2 ++ ) {
float xValue = getDy ( batch , idyF , idyR , idyC , d2 ) ;
float wValue = getW ( wFPerm , wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
}
}
}
setOutput ( dotProd ) ;
}
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` }}class q5{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;const t=e.strideHeight,n=e.strideWidth,s=e.padInfo.top,i=e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int dm = coords . w ;
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int d2 = d1 * $ { o } + dm ;
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float dotProd = 0.0 ;
// TO DO: Vec4 over the batch size
for ( int b = 0 ; b < $ { e . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { e . outHeight } ; yR ++ ) {
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int xR = wR + yR * $ { t } - $ { s } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
for ( int yC = 0 ; yC < $ { e . outWidth } ; yC ++ ) {
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int xC = wC + yC * $ { n } - $ { i } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
setOutput ( dotProd ) ;
}
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` }}class j5{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;const t=e.filterHeight,n=e.filterWidth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.top,a=n-1-e.padInfo.left,c=e.outChannels/e.inChannels;this.userCode= `
const ivec2 pads = ivec2 ( $ { o } , $ { a } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d1 = coords [ 3 ] ;
ivec2 dyCorner = coords . yz - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { t } ; wR ++ ) {
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float dyR = float ( dyRCorner + wR ) / $ { s } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
int wRPerm = $ { t } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
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float dyC = float ( dyCCorner + wC ) / $ { i } . 0 ;
if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { n } - 1 - wC ;
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// TO DO: Vec4 over the channelMul
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for ( int dm = 0 ; dm < $ { c } ; dm ++ ) {
int d2 = d1 * $ { c } + dm ;
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float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , dm ) ;
dotProd += xValue * wValue ;
}
}
}
setOutput ( dotProd ) ;
}
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` }}class V0{constructor(e,t=!1,n=null,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;const i=e.padInfo.top,o=e.padInfo.left,a=e.strideHeight,c=e.strideWidth,h=e.dilationHeight,d=e.dilationWidth,m=e.filterHeight,y=e.filterWidth,b=Math.floor(e.inChannels/4)*4,w=e.inChannels%4,L=e.dataFormat==="channelsLast",T=L?1:2,A=L?2:3,N=L?3:1;let E="",D="";n&&(s?E= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
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$ { n }
} ` :E= `
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float activation ( float x ) {
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$ { n }
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}
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` ,D="result = activation(result);");const F=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),this.userCode= `
$ { E }
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const ivec2 strides = ivec2 ( $ { a } , $ { c } ) ;
const ivec2 pads = ivec2 ( $ { i } , $ { o } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
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int d2 = coords [ $ { N } ] ;
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ivec2 xRCCorner =
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ivec2 ( coords [ $ { T } ] , coords [ $ { A } ] ) * strides - pads ;
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int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { m } ; wR ++ ) {
int xR = xRCorner + wR * $ { h } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { y } ; wC ++ ) {
int xC = xCCorner + wC * $ { d } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
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for ( int d1 = 0 ; d1 < $ { b } ; d1 += 4 ) {
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vec4 wValues = vec4 (
getW ( wR , wC , d1 , d2 ) ,
getW ( wR , wC , d1 + 1 , d2 ) ,
getW ( wR , wC , d1 + 2 , d2 ) ,
getW ( wR , wC , d1 + 3 , d2 )
) ;
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if ( $ { L } ) {
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vec4 xValues = vec4 (
getX ( batch , xR , xC , d1 ) ,
getX ( batch , xR , xC , d1 + 1 ) ,
getX ( batch , xR , xC , d1 + 2 ) ,
getX ( batch , xR , xC , d1 + 3 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec4 xValues = vec4 (
getX ( batch , d1 , xR , xC ) ,
getX ( batch , d1 + 1 , xR , xC ) ,
getX ( batch , d1 + 2 , xR , xC ) ,
getX ( batch , d1 + 3 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
}
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if ( $ { w === 1 } ) {
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if ( $ { L } ) {
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dotProd +=
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getX ( batch , xR , xC , $ { b } ) *
getW ( wR , wC , $ { b } , d2 ) ;
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} else {
dotProd +=
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getX ( batch , $ { b } , xR , xC ) *
getW ( wR , wC , $ { b } , d2 ) ;
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}
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} else if ( $ { w === 2 } ) {
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vec2 wValues = vec2 (
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getW ( wR , wC , $ { b } , d2 ) ,
getW ( wR , wC , $ { b } + 1 , d2 )
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) ;
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if ( $ { L } ) {
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vec2 xValues = vec2 (
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getX ( batch , xR , xC , $ { b } ) ,
getX ( batch , xR , xC , $ { b } + 1 )
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) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec2 xValues = vec2 (
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getX ( batch , $ { b } , xR , xC ) ,
getX ( batch , $ { b } + 1 , xR , xC )
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) ;
dotProd += dot ( xValues , wValues ) ;
}
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} else if ( $ { w === 3 } ) {
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vec3 wValues = vec3 (
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getW ( wR , wC , $ { b } , d2 ) ,
getW ( wR , wC , $ { b } + 1 , d2 ) ,
getW ( wR , wC , $ { b } + 2 , d2 )
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) ;
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if ( $ { L } ) {
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vec3 xValues = vec3 (
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getX ( batch , xR , xC , $ { b } ) ,
getX ( batch , xR , xC , $ { b } + 1 ) ,
getX ( batch , xR , xC , $ { b } + 2 )
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) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec3 xValues = vec3 (
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getX ( batch , $ { b } , xR , xC ) ,
getX ( batch , $ { b } + 1 , xR , xC ) ,
getX ( batch , $ { b } + 2 , xR , xC )
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) ;
dotProd += dot ( xValues , wValues ) ;
}
}
}
}
float result = dotProd ;
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$ { F }
$ { D }
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setOutput ( result ) ;
}
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` }}class K5{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;const t=e.padInfo.front,n=e.padInfo.top,s=e.padInfo.left,i=e.strideDepth,o=e.strideHeight,a=e.strideWidth,c=e.dilationDepth,h=e.dilationHeight,d=e.dilationWidth,m=e.filterDepth,y=e.filterHeight,b=e.filterWidth,w=Math.floor(e.inChannels/4)*4,L=e.inChannels%4;this.userCode= `
const ivec3 strides = ivec3 ( $ { i } , $ { o } , $ { a } ) ;
const ivec3 pads = ivec3 ( $ { t } , $ { n } , $ { s } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d2 = coords . u ;
ivec3 xFRCCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xFCorner = xFRCCorner . x ;
int xRCorner = xFRCCorner . y ;
int xCCorner = xFRCCorner . z ;
// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
float dotProd = 0.0 ;
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for ( int wF = 0 ; wF < $ { m } ; wF ++ ) {
int xF = xFCorner + wF * $ { c } ;
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if ( xF < 0 || xF >= $ { e . inDepth } ) {
continue ;
}
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for ( int wR = 0 ; wR < $ { y } ; wR ++ ) {
int xR = xRCorner + wR * $ { h } ;
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if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { b } ; wC ++ ) {
int xC = xCCorner + wC * $ { d } ;
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if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
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for ( int d1 = 0 ; d1 < $ { w } ; d1 += 4 ) {
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vec4 xValues = vec4 (
getX ( batch , xF , xR , xC , d1 ) ,
getX ( batch , xF , xR , xC , d1 + 1 ) ,
getX ( batch , xF , xR , xC , d1 + 2 ) ,
getX ( batch , xF , xR , xC , d1 + 3 )
) ;
vec4 wValues = vec4 (
getW ( wF , wR , wC , d1 , d2 ) ,
getW ( wF , wR , wC , d1 + 1 , d2 ) ,
getW ( wF , wR , wC , d1 + 2 , d2 ) ,
getW ( wF , wR , wC , d1 + 3 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
}
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if ( $ { L === 1 } ) {
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dotProd +=
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getX ( batch , xF , xR , xC , $ { w } ) *
getW ( wF , wR , wC , $ { w } , d2 ) ;
} else if ( $ { L === 2 } ) {
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vec2 xValues = vec2 (
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getX ( batch , xF , xR , xC , $ { w } ) ,
getX ( batch , xF , xR , xC , $ { w } + 1 )
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) ;
vec2 wValues = vec2 (
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getW ( wF , wR , wC , $ { w } , d2 ) ,
getW ( wF , wR , wC , $ { w } + 1 , d2 )
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) ;
dotProd += dot ( xValues , wValues ) ;
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} else if ( $ { L === 3 } ) {
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vec3 xValues = vec3 (
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getX ( batch , xF , xR , xC , $ { w } ) ,
getX ( batch , xF , xR , xC , $ { w } + 1 ) ,
getX ( batch , xF , xR , xC , $ { w } + 2 )
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) ;
vec3 wValues = vec3 (
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getW ( wF , wR , wC , $ { w } , d2 ) ,
getW ( wF , wR , wC , $ { w } + 1 , d2 ) ,
getW ( wF , wR , wC , $ { w } + 2 , d2 )
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) ;
dotProd += dot ( xValues , wValues ) ;
}
}
}
}
setOutput ( dotProd ) ;
}
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` }}class Y0{constructor(e,t=!1,n=null,s=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;const i=e.inHeight,o=e.inWidth,a=e.padInfo.top,c=e.padInfo.left,h=e.strideHeight,d=e.strideWidth,m=e.dilationHeight,y=e.dilationWidth,b=e.filterHeight,w=e.filterWidth,L=e.outChannels/e.inChannels;let T="",A="";n&&(s?T= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
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$ { n }
} ` :T= `
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float activation ( float x ) {
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$ { n }
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}
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` ,A="result = activation(result);");const N=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),this.userCode= `
$ { T }
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const ivec2 strides = ivec2 ( $ { h } , $ { d } ) ;
const ivec2 pads = ivec2 ( $ { a } , $ { c } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
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int d1 = d2 / $ { L } ;
int q = d2 - d1 * $ { L } ;
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int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
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for ( int wR = 0 ; wR < $ { b } ; wR ++ ) {
int xR = xRCorner + wR * $ { m } ;
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if ( xR < 0 || xR >= $ { i } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { w } ; wC ++ ) {
int xC = xCCorner + wC * $ { y } ;
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if ( xC < 0 || xC >= $ { o } ) {
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continue ;
}
float xVal = getX ( batch , xR , xC , d1 ) ;
float wVal = getW ( wR , wC , d1 , q ) ;
dotProd += xVal * wVal ;
}
}
float result = dotProd ;
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$ { N }
$ { A }
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setOutput ( result ) ;
}
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` }}class H0{constructor(e,t=!1,n=null,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;const i=e.inHeight,o=e.inWidth,a=e.padInfo.top,c=e.padInfo.left,h=e.strideHeight,d=e.strideWidth,m=e.dilationHeight,y=e.dilationWidth,b=e.filterHeight,w=e.filterWidth,L=w;let T="int xR; int xC; int xCOffset;";for(let D=0;D<b;D++)for(let F=0;F<w;F++)T+= `
vec4 xTexelR$ { D } C$ { F * 2 } = vec4 ( 0. ) ;
vec4 wR$ { D } C$ { F } = vec4 ( 0. ) ;
vec4 xR$ { D } C$ { F } = vec4 ( 0. ) ; ` ;for(let D=0;D<b;D++)for(let F=0;F<L;F++){const _=F*2;if(T+= `
xR = xRCorner + $ { D * m } ;
xC = xCCorner + $ { _ * y } ;
` ,d===1){if(_<w&&(c%2===1?T+= `
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xCOffset = xC + 1 ;
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if ( xR >= 0 && xR < $ { i } && xCOffset >= 0 && xCOffset < $ { o } ) {
xTexelR$ { D } C$ { _ } = getX ( batch , xR , xCOffset , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
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if ( xCOffset + 1 >= $ { o } ) {
xTexelR$ { D } C$ { _ } . zw = vec2 ( 0. ) ;
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}
} else {
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xTexelR$ { D } C$ { _ } = vec4 ( 0. ) ;
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}
xCOffset = xC + 1 - 2 ;
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if ( xR >= 0 && xR < $ { i } && xCOffset >= 0 && xCOffset < $ { o } ) {
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vec4 previous = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
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if ( xCOffset + 1 >= $ { o } ) {
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previous . zw = vec2 ( 0. ) ;
}
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xR$ { D } C$ { _ } = vec4 ( previous . zw , xTexelR$ { D } C$ { _ } . xy ) ;
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} else {
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xR$ { D } C$ { _ } = vec4 ( 0 , 0 , xTexelR$ { D } C$ { _ } . xy ) ;
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}
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` :T+= `
if ( xR >= 0 && xR < $ { i } && xC >= 0 && xC < $ { o } ) {
xTexelR$ { D } C$ { _ } = getX ( batch , xR , xC , d1 ) ;
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} else {
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xTexelR$ { D } C$ { _ } = vec4 ( 0. ) ;
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}
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xR$ { D } C$ { _ } = xTexelR$ { D } C$ { _ } ;
` ,_+1<w)){const B=c%2===0?Oy(y):y;y%2===0&&c%2===1||y%2!==0&&c%2!==1?(T+= `
xCOffset = xC + $ { c % 2 } + $ { B } ;
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if ( xR >= 0 && xR < $ { i } &&
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xCOffset >= 0 && xCOffset < $ { o } ) {
xTexelR$ { D } C$ { _ + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
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}
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` ,y>1&&(T+= `
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xCOffset -= 2 ;
if ( xR >= 0 && xR < $ { i } &&
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xCOffset >= 0 && xCOffset < $ { o } ) {
xTexelR$ { D } C$ { _ } = getX ( batch , xR , xCOffset , d1 ) ;
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} else {
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xTexelR$ { D } C$ { _ } = vec4 ( 0. ) ;
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}
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` ),T+= `
xR$ { D } C$ { _ + 1 } = vec4 (
xTexelR$ { D } C$ { _ } . zw , xTexelR$ { D } C$ { _ + 2 } . xy ) ;
` ):T+= `
xCOffset = xC + $ { B } ;
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if ( xR >= 0 && xR < $ { i } &&
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xCOffset >= 0 && xCOffset < $ { o } ) {
xTexelR$ { D } C$ { _ + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
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}
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xR$ { D } C$ { _ + 1 } = xTexelR$ { D } C$ { _ + 2 } ;
` }}else _<w&&(T+= `
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if ( xR >= 0 && xR < $ { i } ) {
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` ,c%2===1?(T+= `
xCOffset = xC + 1 - $ { d } ;
if ( xCOffset >= 0 && xCOffset < $ { o } ) {
xTexelR$ { D } C$ { _ } = getX ( batch , xR , xCOffset , d1 ) ;
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} else {
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xTexelR$ { D } C$ { _ } = vec4 ( 0. ) ;
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}
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if ( xC + 1 >= 0 && xC + 1 < $ { o } ) {
xTexelR$ { D } C$ { _ + 2 } = getX ( batch , xR , xC + 1 , d1 ) ;
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} else {
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xTexelR$ { D } C$ { _ + 2 } = vec4 ( 0. ) ;
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}
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xR$ { D } C$ { _ } = vec4 (
xTexelR$ { D } C$ { _ } . zw , xTexelR$ { D } C$ { _ + 2 } . zw ) ;
` ,_+1<w&&(T+= `
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vec4 final = vec4 ( 0. ) ;
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xCOffset = xC + 1 + $ { d } ;
if ( xCOffset >= 0 && xCOffset < $ { o } ) {
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final = getX ( batch , xR , xCOffset , d1 ) ;
}
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xR$ { D } C$ { _ + 1 } = vec4 ( xTexelR$ { D } C$ { _ + 2 } . xy , final . xy ) ;
` )):(T+= `
if ( xC >= 0 && xC < $ { o } ) {
xTexelR$ { D } C$ { _ } = getX ( batch , xR , xC , d1 ) ;
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} else {
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xTexelR$ { D } C$ { _ } = vec4 ( 0. ) ;
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}
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xCOffset = xC + $ { d } ;
if ( xCOffset >= 0 && xCOffset < $ { o } ) {
xTexelR$ { D } C$ { _ + 2 } = getX ( batch , xR , xCOffset , d1 ) ;
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} else {
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xTexelR$ { D } C$ { _ + 2 } = vec4 ( 0. ) ;
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}
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xR$ { D } C$ { _ } = vec4 (
xTexelR$ { D } C$ { _ } . xy , xTexelR$ { D } C$ { _ + 2 } . xy ) ;
` ,_+1<w&&(T+= `
xR$ { D } C$ { _ + 1 } = vec4 (
xTexelR$ { D } C$ { _ } . zw , xTexelR$ { D } C$ { _ + 2 } . zw ) ;
` )),T+="}");_<w&&(T+= `
vec4 wTexelR$ { D } C$ { _ } = getW ( $ { D } , $ { _ } , d1 , q ) ;
wR$ { D } C$ { _ } = vec4 ( wTexelR$ { D } C$ { _ } . xz , wTexelR$ { D } C$ { _ } . xz ) ;
` ,_+1<w&&(T+= `
vec4 wTexelR$ { D } C$ { _ + 1 } = getW ( $ { D } , $ { _ + 1 } , d1 , q ) ;
wR$ { D } C$ { _ + 1 } =
vec4 ( wTexelR$ { D } C$ { _ + 1 } . xz , wTexelR$ { D } C$ { _ + 1 } . xz ) ; ` ))}for(let D=0;D<b;D++)for(let F=0;F<w;F++)T+= ` dotProd += xR$ { D } C$ { F } * wR$ { D } C$ { F } ; ` ;let A="",N="";n&&(s?A= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
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$ { n }
} ` :A= ` vec4 activation ( vec4 x ) {
$ { n }
} ` ,N="result = activation(result);");const E=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights"),this.userCode= `
$ { A }
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const ivec2 strides = ivec2 ( $ { h } , $ { d } ) ;
const ivec2 pads = ivec2 ( $ { a } , $ { c } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 ;
int q = 0 ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
vec4 dotProd = vec4 ( 0. ) ;
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$ { T }
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vec4 result = dotProd ;
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$ { E }
$ { N }
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setOutput ( result ) ;
}
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` }}class X5{constructor(e,t,n,s,i){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];const[o,a,c,h]=e,[d]=t,[m,y]=n;this.outputShape=[d,m,y,h];const b=s==="bilinear"?1:0,[w,L]=[ ` $ { a - 1 } . 0 ` , ` $ { c - 1 } . 0 ` ],[T,A,N]=m>1?[ ` $ { ( a - 1 ) / ( m - 1 ) } ` ,"(y2-y1) * height_ratio", ` y1 * $ { w } + float ( y ) * ( height _scale ) ` ]:["0.0","0.0", ` 0.5 * ( y1 + y2 ) * $ { w } ` ],[E,D,F]=y>1?[ ` $ { ( c - 1 ) / ( y - 1 ) } ` ,"(x2-x1) * width_ratio", ` x1 * $ { L } + float ( x ) * ( width _scale ) ` ]:["0.0","0.0", ` 0.5 * ( x1 + x2 ) * $ { L } ` ];this.userCode= `
const float height _ratio = float ( $ { T } ) ;
const float width _ratio = float ( $ { E } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int y = coords [ 1 ] ;
int x = coords [ 2 ] ;
int d = coords [ 3 ] ;
// get box vals
float y1 = getBoxes ( b , 0 ) ;
float x1 = getBoxes ( b , 1 ) ;
float y2 = getBoxes ( b , 2 ) ;
float x2 = getBoxes ( b , 3 ) ;
// get image in batch index
int bInd = round ( getBoxInd ( b ) ) ;
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if ( bInd < 0 || bInd >= $ { o } ) {
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return ;
}
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float height _scale = $ { A } ;
float width _scale = $ { D } ;
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float in _y = $ { N } ;
if ( in _y < 0.0 || in _y > $ { w } ) {
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setOutput ( float ( $ { i } ) ) ;
return ;
}
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float in _x = $ { F } ;
if ( in _x < 0.0 || in _x > $ { L } ) {
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setOutput ( float ( $ { i } ) ) ;
return ;
}
vec2 sourceFracIndexCR = vec2 ( in _x , in _y ) ;
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if ( $ { b } == 1 ) {
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// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2 ( sourceFracIndexCR ) ;
ivec2 sourceCeilCR = ivec2 ( ceil ( sourceFracIndexCR ) ) ;
float topLeft = getImage ( b , sourceFloorCR . y , sourceFloorCR . x , d ) ;
float bottomLeft = getImage ( b , sourceCeilCR . y , sourceFloorCR . x , d ) ;
float topRight = getImage ( b , sourceFloorCR . y , sourceCeilCR . x , d ) ;
float bottomRight = getImage ( b , sourceCeilCR . y , sourceCeilCR . x , d ) ;
vec2 fracCR = sourceFracIndexCR - vec2 ( sourceFloorCR ) ;
float top = topLeft + ( topRight - topLeft ) * fracCR . x ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracCR . x ;
float newValue = top + ( bottom - top ) * fracCR . y ;
setOutput ( newValue ) ;
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2 ( floor (
sourceFracIndexCR + vec2 ( 0.5 , 0.5 ) ) ) ;
float newValue = getImage ( b , sourceNearestCR . y , sourceNearestCR . x , d ) ;
setOutput ( newValue ) ;
}
}
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` }}class q0{constructor(e,t,n){this.variableNames=["x"],this.outputShape=e;const s=e.length,i=t?"0.0": ` getX ( $ { j0 ( s , "coords" ) } ) ` ,o=e[e.length-1];let a="",c="";t?(a=n? ` end != $ { o - 1 } ` :"end != 0",c=n?"end + 1":"end - 1"):(a=n? ` end + pow2 < $ { o } ` :"end >= pow2",c=n?"end + pow2":"end - pow2"),this.userCode= `
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uniform float index ;
void main ( ) {
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$ { Et ( s ) } coords = getOutputCoords ( ) ;
int end = $ { K0 ( s , "coords" ) } ;
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float val = $ { i } ;
int pow2 = int ( pow ( 2.0 , index ) ) ;
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if ( $ { a } ) {
int idx = $ { c } ;
$ { K0 ( s , "coords" ) } = idx ;
val += getX ( $ { j0 ( s , "coords" ) } ) ;
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}
setOutput ( val ) ;
}
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` }getCustomSetupFunc(e){return(t,n)=>{this.index==null&&(this.index=t.getUniformLocation(n,"index")),t.gl.uniform1f(this.index,e)}}}function j0(e,t){if(e===1)return ` $ { t } ` ;if(e===2)return ` $ { t } . x , $ { t } . y ` ;if(e===3)return ` $ { t } . x , $ { t } . y , $ { t } . z ` ;if(e===4)return ` $ { t } . x , $ { t } . y , $ { t } . z , $ { t } . w ` ;throw Error( ` Cumulative sum for rank $ { e } is not yet supported ` )}function K0(e,t){if(e===1)return ` $ { t } ` ;if(e===2)return ` $ { t } . y ` ;if(e===3)return ` $ { t } . z ` ;if(e===4)return ` $ { t } . w ` ;throw Error( ` Cumulative sum for rank $ { e } is not yet supported ` )}class J5{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=su.DENSE;const t=ru(e),n=Wn();this.outputShape=e,this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { jo ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
}
void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 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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$ { n . output } = result ;
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}
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` }}class Z5{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=su.DENSE;const t=ru(e),n=Wn();this.outputShape=e,this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { jo ( [ "r" , "c" , "d" ] , e ) }
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return ivec3 ( r , c , d ) ;
}
void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = 4 * ( resTexRC . x * $ { t [ 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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$ { n . output } = result ;
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}
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` }}class Q5{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int h = $ { this . getHeightCoordString ( ) } ;
int w = $ { this . getWidthCoordString ( ) } ;
int d = $ { this . getDepthCoordString ( ) } ;
int in _h = h / $ { t } ;
int offset _h = imod ( h , $ { t } ) ;
int in _w = w / $ { t } ;
int offset _w = imod ( w , $ { t } ) ;
int offset _d = ( offset _h * $ { t } + offset _w ) *
$ { this . getOutputDepthSize ( ) } ;
int in _d = d + offset _d ;
float result = $ { this . getInputSamplingString ( ) } ;
setOutput ( result ) ;
}
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` }getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}class e8{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
float val = coords [ 0 ] == coords [ 1 ] ? getX ( coords [ 0 ] ) : 0.0 ;
setOutput ( val ) ;
}
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` }}class t8{constructor(e){this.variableNames=["A"],this.outTexUsage=As.DOWNLOAD;const t=Wn();this.outputShape=e,this.userCode= `
$ { F0 }
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void main ( ) {
float x = getAAtOutCoords ( ) ;
$ { t . output } = encode _float ( x ) ;
}
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` }}class n8{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=As.DOWNLOAD;const t=Wn();this.outputShape=e,this.userCode= `
$ { F0 }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
float x = getChannel ( getAAtOutCoords ( ) , vec2 ( coords . y , coords . z ) ) ;
$ { t . output } = encode _float ( x ) ;
}
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` }}class s8{constructor(e,t,n=!1){this.variableNames=["A"];const s=Wn(),[i,o]=t;this.outputShape=e;let a="result";n&&(a="floor(result * 255. + 0.5)"),this.userCode= `
$ { vS ( e ) }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int flatIndex = getFlatIndex ( coords ) ;
int offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
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int r = flatIndex / $ { o } ;
int c = imod ( flatIndex , $ { o } ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { o } . 0 , $ { i } . 0 ) ;
vec4 values = $ { s . texture2D } ( A , uv ) ;
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float result ;
if ( offset == 0 ) {
result = values [ 0 ] ;
} else if ( offset == 1 ) {
result = values [ 1 ] ;
} else if ( offset == 2 ) {
result = values [ 2 ] ;
} else {
result = values [ 3 ] ;
}
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$ { s . output } = vec4 ( $ { a } , 0. , 0. , 0. ) ;
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}
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` }}class i8{constructor(e,t,n=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;const s=Wn(),[i,o]=t;this.outputShape=e;let a="",c="result";n&&(c="floor(result * 255. + 0.5)");for(let h=0;h<=1;h++)for(let d=0;d<=1;d++){const m=h*2+d;a+= `
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localCoords = coords ;
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if ( localCoords [ 2 ] + $ { d } < $ { e [ 2 ] } ) {
localCoords [ 2 ] += $ { d } ;
if ( localCoords [ 1 ] + $ { h } < $ { e [ 1 ] } ) {
localCoords [ 1 ] += $ { h } ;
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flatIndex = getFlatIndex ( localCoords ) ;
offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
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r = flatIndex / $ { o } ;
c = imod ( flatIndex , $ { o } ) ;
uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( $ { o } . 0 , $ { i } . 0 ) ;
values = $ { s . texture2D } ( A , uv ) ;
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if ( offset == 0 ) {
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result [ $ { m } ] = values [ 0 ] ;
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} else if ( offset == 1 ) {
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result [ $ { m } ] = values [ 1 ] ;
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} else if ( offset == 2 ) {
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result [ $ { m } ] = values [ 2 ] ;
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} else {
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result [ $ { m } ] = values [ 3 ] ;
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}
}
}
` }this.userCode= `
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$ { vS ( e ) }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
int flatIndex , r , c , offset ;
ivec3 localCoords ;
vec2 uv ;
vec4 values ;
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$ { a }
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$ { s . output } = $ { c } ;
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}
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` }}const X0={REAL:"return real * expR - imag * expI;",IMAG:"return real * expI + imag * expR;"};class J0{constructor(e,t,n){this.variableNames=["real","imag"];const s=t[1];this.outputShape=t;const i=n? ` 2.0 * $ { Math . PI } ` : ` - 2.0 * $ { Math . PI } ` ,o=n? ` $ { s } . 0 ` :"1.0";this.userCode= `
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const float exponentMultiplier = $ { i } ;
float unaryOpComplex ( float real , float expR , float imag , float expI ) {
$ { e }
}
float mulMatDFT ( int batch , int index ) {
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float indexRatio = float ( index ) / float ( $ { s } ) ;
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float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio ;
float result = 0.0 ;
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for ( int i = 0 ; i < $ { s } ; i ++ ) {
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// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float ( i ) ;
float expR = cos ( x ) ;
float expI = sin ( x ) ;
float real = getReal ( batch , i ) ;
float imag = getImag ( batch , i ) ;
result +=
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unaryOpComplex ( real , expR , imag , expI ) / $ { o } ;
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}
return result ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
setOutput ( mulMatDFT ( coords [ 0 ] , coords [ 1 ] ) ) ;
}
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` }}class r8{constructor(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode= `
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uniform float value ;
void main ( ) {
// Input can be obtained from uniform value.
setOutput ( value ) ;
}
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` }getCustomSetupFunc(e){return(t,n)=>{this.valueLoc==null&&(this.valueLoc=t.getUniformLocationNoThrow(n,"value")),t.gl.uniform1f(this.valueLoc,e)}}}class o8{constructor(e,t,n){this.variableNames=["A","indices"];const s=e.slice();s[n]=t,this.outputShape=s,this.rank=s.length;const i=Et(this.rank),o=a8(e,n);this.userCode= `
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void main ( ) {
$ { i } resRC = getOutputCoords ( ) ;
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setOutput ( getA ( $ { o } ) ) ;
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}
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` }}function a8(e,t){const n=e.length;if(n>4)throw Error( ` Gather for rank $ { n } is not yet supported ` );if(n===1)return"int(getIndices(resRC))";const s=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[];for(let o=0;o<e.length;o++)o===t?i.push( ` int ( getIndices ( $ { s [ o ] } ) ) ` ):i.push( ` $ { s [ o ] } ` );return i.join()}class c8{constructor(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;const s=Et(t.length),i=Et(n.length),o=this.sliceDim>1?"strides[j]":"strides";this.userCode= `
$ { s } strides = $ { s } ( $ { this . strides } ) ;
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void main ( ) {
$ { i } coords = getOutputCoords ( ) ;
int flattenIndex = 0 ;
for ( int j = 0 ; j < $ { this . sliceDim } ; j ++ ) {
int index = round ( getIndices ( coords [ 0 ] , j ) ) ;
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flattenIndex += index * $ { o } ;
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}
setOutput ( getX ( flattenIndex , coords [ 1 ] ) ) ;
}
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` }}function l8(e){const t=Wn(),n= ` $ { t . version }
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precision highp float ;
$ { t . attribute } vec3 clipSpacePos ;
$ { t . attribute } vec2 uv ;
$ { t . varyingVs } vec2 resultUV ;
void main ( ) {
gl _Position = vec4 ( clipSpacePos , 1 ) ;
resultUV = uv ;
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} ` ;return Uj(e,n)}function h8(e){const t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return Vj(e,t)}function u8(e){const t=new Uint16Array([0,1,2,2,1,3]);return Yj(e,t)}function au(e,t,n,s,i,o){qj(t,n);const a=Hj(e),c=e.TEXTURE_2D;return Re(e,()=>e.bindTexture(c,a)),Re(e,()=>e.texParameteri(c,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),Re(e,()=>e.texParameteri(c,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),Re(e,()=>e.texParameteri(c,e.TEXTURE_MIN_FILTER,e.NEAREST)),Re(e,()=>e.texParameteri(c,e.TEXTURE_MAG_FILTER,e.NEAREST)),Re(e,()=>e.texImage2D(c,0,s,t,n,0,i,o,null)),Re(e,()=>e.bindTexture(e.TEXTURE_2D,null)),a}function Z0(e){return e.internalFormatFloat}function d8(e,t,n,s){const[i,o]=iu(t,n);return au(e,i,o,Z0(s),s.textureFormatFloat,e.FLOAT)}function Q0(e){return e.internalFormatHalfFloat}function p8(e,t,n,s){const[i,o]=iu(t,n);return au(e,i,o,Q0(s),s.textureFormatFloat,s.textureTypeHalfFloat)}function eC(e){return e.downloadTextureFormat}function m8(e,t,n,s){const[i,o]=iu(t,n);return au(e,i,o,eC(s),e.RGBA,e.UNSIGNED_BYTE)}function tC(e){return e.internalFormatPackedFloat}function f8(e,t,n,s){const[i,o]=lc(t,n);return au(e,i,o,tC(s),e.RGBA,e.FLOAT)}function nC(e){return e.internalFormatPackedHalfFloat}function g8(e,t,n,s){const[i,o]=lc(t,n);return au(e,i,o,nC(s),e.RGBA,s.textureTypeHalfFloat)}function y8(e,t,n){const s=0,i=3*4,o=3*4+2*4;Re(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n));const a=C0(e,t,"clipSpacePos",n,3,o,s);return a&&C0(e,t,"uv",n,2,o,i)}function b8(e,t,n,s,i,o){Re(e,()=>e.bindTexture(e.TEXTURE_2D,t));let a,c,h;i instanceof Uint8Array?(a=new Uint8Array(n*s*4),c=e.UNSIGNED_BYTE,h=e.RGBA):(a=new Float32Array(n*s*4),c=e.FLOAT,h=o.internalFormatPackedFloat),a.set(i),Re(e,()=>e.texImage2D(e.TEXTURE_2D,0,h,n,s,0,e.RGBA,c,a)),Re(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function w8(e,t,n){Re(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?Re(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):Re(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),Re(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function L8(e,t,n,s){const i=e.createBuffer();Re(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,i));const o=4,a=4,c=o*a*t*n;return Re(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,c,e.STREAM_READ)),Re(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),Re(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),i}function S8(e,t,n){const s=e,i=new Float32Array(n);return s.bindBuffer(s.PIXEL_PACK_BUFFER,t),s.getBufferSubData(s.PIXEL_PACK_BUFFER,0,i),s.bindBuffer(s.PIXEL_PACK_BUFFER,null),i}function I8(e,t,n,s){const[i,o]=iu(t,n),a=4,c=new Uint8Array(Ej(t*n,a));return Re(e,()=>e.readPixels(0,0,i,o,s.downloadTextureFormat,e.UNSIGNED_BYTE,c)),new Float32Array(c.buffer)}function x8(e,t,n,s,i,o,a,c){const h=e,d=new Float32Array(Dj(o,a));return h.bindBuffer(h.PIXEL_PACK_BUFFER,t),h.getBufferSubData(h.PIXEL_PACK_BUFFER,0,d),h.bindBuffer(h.PIXEL_PACK_BUFFER,null),d}function T8(e,t,n){const s=new Float32Array(t*n*4);return Re(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,s)),s}class A8{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];const t=C().getNumber("WEBGL_VERSION");e!=null?(this.gl=e,Cj(t,e)):this.gl=Wi(t);let n="WEBGL_color_buffer_float";const s="EXT_color_buffer_half_float";if(C().getNumber("WEBGL_VERSION")===1){const i="OES_texture_float",o="OES_texture_half_float";if(this.textureFloatExtension=rm(this.gl,i),zs(this.gl,o))this.textureHalfFloatExtension=rm(this.gl,o);else if(C().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),zs(this.gl,s))this.colorBufferHalfFloatExtension=rm(this.gl,s);else if(C().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",zs(this.gl,n))this.colorBufferFloatExtensi
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blockIndex = rc . y + $ { _ } ;
pos = rc . x + $ { F } ;
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if ( blockIndex < $ { e [ 1 ] } && pos < $ { e [ 0 ] } ) {
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offsetY = int ( blockIndex / ( $ { h } ) ) * $ { a } - $ { w } ;
d0 = offsetY + $ { m } * ( pos / $ { L } ) ;
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if ( d0 < $ { t [ N ] } && d0 >= 0 ) {
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offsetX = int ( mod ( float ( blockIndex ) , $ { h } . ) * $ { o } . - $ { b } . ) ;
d1 = offsetX + $ { d } * ( int ( mod ( float ( pos ) , $ { L } . ) / $ { i } . ) ) ;
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if ( d1 < $ { t [ E ] } && d1 >= 0 ) {
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ch = int ( mod ( float ( pos ) , $ { i } . ) ) ;
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if ( $ { A } ) {
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innerDims = vec2 ( d1 , ch ) ;
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result [ $ { F * 2 + _ } ] = getChannel (
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getA ( d0 , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
} else {
innerDims = vec2 ( d0 , d1 ) ;
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result [ $ { F * 2 + _ } ] = getChannel (
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getA ( ch , int ( innerDims . x ) ,
int ( innerDims . y ) ) , innerDims ) ;
}
}
}
}
` ;this.userCode= `
void main ( ) {
ivec2 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0 ) ;
int blockIndex , pos , offsetY , d0 , offsetX , d1 , ch ;
vec2 innerDims ;
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$ { D }
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$ { T . output } = result ;
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}
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` }}class E8{constructor(e,t,n,s,i){this.variableNames=["x"],this.outputShape=[];const o=t,a=e[3]-1;this.outputShape=e;let c;const h= ` float ( $ { n } ) + float ( $ { s } ) * sum ` ;i===.5?c= ` inversesqrt ( $ { h } ) ` :i===1?c= ` 1.0 / ( $ { h } ) ` :c= ` exp ( log ( $ { h } ) * float ( - $ { i } ) ) ; ` ,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
int d = coords [ 3 ] ;
float x = getX ( b , r , c , d ) ;
float sum = 0.0 ;
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for ( int j = - $ { o } ; j <= $ { o } ; j ++ ) {
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int idx = d + j ;
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if ( idx >= 0 && idx <= $ { a } ) {
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float z = getX ( b , r , c , idx ) ;
sum += z * z ;
}
}
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float val = x * $ { c } ;
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setOutput ( val ) ;
}
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` }}class D8{constructor(e,t,n,s,i){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=s,this.beta=i,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
float result = 0.0 ;
for ( int d = 0 ; d < $ { this . depth } ; ++ d ) {
int depthBegin = int ( max ( 0.0 , float ( d - $ { t } ) ) ) ;
int depthEnd = int ( min ( float ( $ { this . depth } ) ,
float ( d + $ { t } + 1 ) ) ) ;
const int MIN _DEPTH _BEGIN = 0 ;
const int MAX _DEPTH _END = $ { this . depth } ;
float norm = 0.0 ;
for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
norm += getInputImage ( b , r , c , k ) * getInputImage ( b , r , c , k ) ;
}
else {
break ;
}
}
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norm = float ( $ { s } ) * norm + float ( $ { n } ) ;
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for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
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float dyi = - 2.0 * float ( $ { s } )
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* float ( $ { i } )
* getInputImage ( b , r , c , k ) * getOutputImage ( b , r , c , d )
/ n o r m ;
if ( k == d ) {
dyi += pow ( norm , - 1.0 * $ { i } ) ;
}
if ( k == coords [ 3 ] ) {
dyi *= getDy ( b , r , c , d ) ;
result += dyi ;
}
}
else {
break ;
}
}
}
setOutput ( result ) ;
}
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` }}class k8{constructor(e,t,n,s,i){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;const o=t,a=e[3]-1;this.outputShape=e;let c;const h= ` float ( $ { n } ) + float ( $ { s } ) * sum ` ;i===.5?c= ` inversesqrt ( $ { h } ) ` :i===1?c= ` 1.0 / ( $ { h } ) ` :c= ` exp ( log ( $ { h } ) * float ( - $ { i } ) ) ; ` ,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords . x ;
int r = coords . y ;
int c = coords . z ;
int d = coords . w ;
bool hasNextCol = d < $ { this . outputShape [ 3 ] } ;
bool hasNextRow = c < $ { this . outputShape [ 2 ] } ;
vec4 sum = vec4 ( 0. ) ;
vec4 xFragAtOutputCoords = getX ( b , r , c , d ) ;
vec4 xAtOutputCoords = vec4 (
getChannel ( xFragAtOutputCoords , vec2 ( c , d ) ) ,
hasNextCol ?
getChannel ( xFragAtOutputCoords , vec2 ( c , d + 1 ) ) : 0.0 ,
hasNextRow ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d ) ) : 0.0 ,
( hasNextRow && hasNextCol ) ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d + 1 ) ) : 0.0
) ;
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int firstChannel = d - $ { o } ;
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vec2 cache = vec2 ( 0. ) ;
if ( firstChannel >= 0 ) {
vec4 firstChannelFrag = getX ( b , r , c , firstChannel ) ;
cache . x = getChannel ( firstChannelFrag , vec2 ( c , firstChannel ) ) ;
if ( hasNextRow ) {
cache . y = getChannel ( firstChannelFrag , vec2 ( c + 1 , firstChannel ) ) ;
}
}
ivec2 depth = ivec2 ( d , d + 1 ) ;
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for ( int j = - $ { o } ; j <= $ { o } ; j ++ ) {
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ivec2 idx = depth + j ;
bvec2 aboveLowerBound = greaterThanEqual ( idx , ivec2 ( 0 ) ) ;
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bvec2 belowUpperBound = lessThanEqual ( idx , ivec2 ( $ { a } ) ) ;
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bool depthInRange = aboveLowerBound . x && belowUpperBound . x ;
bool depthPlusOneInRange = aboveLowerBound . y && belowUpperBound . y ;
if ( depthInRange || depthPlusOneInRange ) {
vec4 z = vec4 ( 0. ) ;
vec4 xFragAtCurrentDepth ;
z . xz = cache . xy ;
if ( depthPlusOneInRange && hasNextCol ) {
xFragAtCurrentDepth = idx . y != d ?
getX ( b , r , c , idx . y ) : xFragAtOutputCoords ;
z . y = getChannel ( xFragAtCurrentDepth , vec2 ( c , idx . y ) ) ;
if ( hasNextRow ) {
z . w = getChannel ( xFragAtCurrentDepth , vec2 ( c + 1 , idx . y ) ) ;
}
}
cache . xy = z . yw ;
sum += z * z ;
}
}
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vec4 result = xAtOutputCoords * $ { c } ;
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setOutput ( result ) ;
}
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` }}class F8{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;const t=e.strideHeight,n=e.strideWidth,s=e.dilationHeight,i=e.effectiveFilterHeight,o=e.effectiveFilterWidth,a=i-1-e.padInfo.top,c=o-1-e.padInfo.left,h=i*o-1;this.userCode= `
const ivec2 pads = ivec2 ( $ { a } , $ { c } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { i } ;
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wR += $ { s } ) {
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float dyR = float ( dyRCorner + wR ) / $ { t } . 0 ;
if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { o } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { n } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( b , idyR , idyC , d ) ;
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int maxPosValue = $ { h } - int ( getMaxPos ( b , idyR , idyC , d ) ) ;
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// Get the current value, check it against the value from the
// position matrix.
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int curPosValue = wR * $ { o } + wC ;
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float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
}
}
setOutput ( dotProd ) ;
}
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` }}class _8{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;const t=e.strideDepth,n=e.strideHeight,s=e.strideWidth,i=e.dilationDepth,o=e.dilationHeight,a=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,d=e.effectiveFilterWidth,m=c-1-e.padInfo.front,y=h-1-e.padInfo.top,b=d-1-e.padInfo.left,w=c*h*d-1;this.userCode= `
const ivec3 pads = ivec3 ( $ { m } , $ { y } , $ { b } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wD = 0 ; wD < $ { c } ;
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wD += $ { i } ) {
float dyD = float ( dyDCorner + wD ) / $ { t } . 0 ;
if ( dyD < 0.0 || dyD >= $ { e . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
}
int idyD = int ( dyD ) ;
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for ( int wR = 0 ; wR < $ { h } ;
wR += $ { o } ) {
float dyR = float ( dyRCorner + wR ) / $ { n } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { e . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { d } ;
wC += $ { a } ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { e . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
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int maxPosValue = $ { w } -
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int ( getMaxPos ( batch , idyD , idyR , idyC , ch ) ) ;
// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
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wD * $ { h } * $ { d } +
wR * $ { d } + wC ;
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float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
dotProd += dyValue * mask ;
}
}
}
setOutput ( dotProd ) ;
}
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` }}class RS{constructor(e,t,n=!1,s=!1,i=!1,o=null,a=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;const c=n?e[1]:e[2],h=Math.ceil(c/2),d=n?"i * 2, rc.y":"rc.y, i * 2",m=s?"rc.z, i * 2":"i * 2, rc.z",y=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],b=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"];let w="",L="";o&&(a?w= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
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$ { o }
} ` :w= ` vec4 activation ( vec4 x ) {
$ { o }
} ` ,L="result = activation(result);");const T=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),this.userCode= `
$ { w }
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const float sharedDimension = $ { h } . 0 ;
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vec4 dot2x2ARowBCol ( ivec3 rc ) {
vec4 result = vec4 ( 0 ) ;
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for ( int i = 0 ; i < $ { h } ; i ++ ) {
vec4 a = getMatrixA ( rc . x , $ { d } ) ;
vec4 b = getMatrixB ( rc . x , $ { m } ) ;
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// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
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result += ( $ { y [ 0 ] } * $ { b [ 0 ] } ) ;
result += ( $ { y [ 1 ] } * $ { b [ 1 ] } ) ;
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}
return result ;
}
void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = dot2x2ARowBCol ( rc ) ;
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$ { T }
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$ { L }
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setOutput ( result ) ;
}
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` }}class W8{constructor(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode= `
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uniform float seed ;
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
float r = random ( seed ) ;
float cdf = 0.0 ;
for ( int i = 0 ; i < $ { t - 1 } ; i ++ ) {
cdf += getProbs ( batch , i ) ;
if ( r < cdf ) {
setOutput ( float ( i ) ) ;
return ;
}
}
// If no other event happened, last event happened.
setOutput ( float ( $ { t - 1 } ) ) ;
}
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` }getCustomSetupFunc(e){return(t,n)=>{this.seedLoc==null&&(this.seedLoc=t.getUniformLocation(n,"seed")),t.gl.uniform1f(this.seedLoc,e)}}}class $ 8{constructor(e,t,n,s){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int index = round ( getIndices ( coords . x ) ) ;
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setOutput ( mix ( float ( $ { s } ) , float ( $ { n } ) ,
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float ( index == coords . y ) ) ) ;
}
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` }}class U8{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;const t=e.length;if(t===0)this.userCode= `
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void main ( ) {
setOutput ( vec4 ( getA ( ) , 0. , 0. , 0. ) ) ;
}
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` ;else{const n=ls("rc",t),s=Et(t),i=M8(t,e,n),o=P8(t,e[e.length-1],e[e.length-2],n),a=z8(e,n);this.userCode= `
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void main ( ) {
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$ { s } rc = getOutputCoords ( ) ;
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if ( $ { i } ) {
setOutput ( vec4 ( 0 ) ) ;
} else {
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$ { o }
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setOutput ( vec4 ( $ { a } ) ) ;
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}
}
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` }}}function B8(e,t){const n=[];for(let s=0;s<=1;s++)for(let i=0;i<=1;i++){let o= ` $ { s === 0 ? "r" : "rp1" } , $ { i === 0 ? "c" : "cp1" } ` ;for(let a=2;a<e;a++)o= ` $ { t [ t . length - 1 - a ] } , ` +o;n.push(o)}return n}function M8(e,t,n){if(e===1)return ` rc > $ { t [ 0 ] } ` ;let s="";for(let i=e-2;i<e;i++)s+= ` $ { n [ i ] } >= $ { t [ i ] } ` ,i<e-1&&(s+="||");return s}function P8(e,t,n,s){if(e===1)return"";const i=s.slice(-2);return `
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int r = $ { i [ 0 ] } ;
int c = $ { i [ 1 ] } ;
int rp1 = r + 1 ;
int cp1 = c + 1 ;
bool cEdge = cp1 >= $ { t } ;
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bool rEdge = rp1 >= $ { n } ;
` }function z8(e,t){const n=e.length,s=B8(n,t);return n===1? ` getA ( rc ) ,
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rc + 1 >= $ { e [ 0 ] } ? 0. : getA ( rc + 1 ) ,
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0 , 0 ` : ` getA ( $ { s [ 0 ] } ) ,
cEdge ? 0. : getA ( $ { s [ 1 ] } ) ,
rEdge ? 0. : getA ( $ { s [ 2 ] } ) ,
rEdge || cEdge ? 0. : getA ( $ { s [ 3 ] } ) ` }class G8{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((h,d)=>h[0]+e[d]+h[1]);const s=e.length,i=Et(s),o=t.map(h=>h[0]).join(","),a=t.map((h,d)=>h[0]+e[d]).join(","),c=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,s);if(s===1){this.userCode= `
int start = $ { o } ;
int end = $ { a } ;
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void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
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setOutput ( float ( $ { n } ) ) ;
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} else {
setOutput ( getX ( outC - start ) ) ;
}
}
` ;return}this.userCode= `
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$ { i } start = $ { i } ( $ { o } ) ;
$ { i } end = $ { i } ( $ { a } ) ;
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void main ( ) {
$ { i } outC = getOutputCoords ( ) ;
if ( any ( lessThan ( outC , start ) ) || any ( greaterThanEqual ( outC , end ) ) ) {
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setOutput ( float ( $ { n } ) ) ;
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} else {
$ { i } coords = outC - start ;
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setOutput ( getX ( $ { c } ) ) ;
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}
}
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` }}class V8{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((L,T)=>L[0]+e[T]+L[1]);const s=e.length,i=Et(s),o=t.map(L=>L[0]).join(","),a=t.map((L,T)=>L[0]+e[T]).join(","),c=ls("rc",s),h=ls("source",s),d= ` $ { c [ s - 1 ] } < $ { this . outputShape [ s - 1 ] } ` ,m=s===1?"source": ` vec2 ( $ { h . slice ( - 2 ) . join ( ) } ) ` ,y=[ ` $ { i } rc = outputLoc ; ` , ` $ { c [ s - 1 ] } += 1 ;
if ( $ { d } ) {
` ,s===1?"": ` }
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rc = outputLoc ;
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$ { c [ s - 2 ] } += 1 ;
if ( $ { c [ s - 2 ] } < $ { this . outputShape [ s - 2 ] } ) { ` ,s===1?"": ` $ { c [ s - 1 ] } += 1 ;
if ( $ { d } ) { ` ],b=s===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))";let w="";for(let L=0,T=s===1?2:4;L<T;L++)w+= `
$ { y [ L ] }
if ( $ { b } ) {
result [ $ { L } ] = float ( $ { n } ) ;
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} else {
$ { i } source = rc - start ;
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result [ $ { L } ] = getChannel ( getX ( $ { h . join ( ) } ) , $ { m } ) ;
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}
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` ;w+=s===1?"} ":"}}",this.userCode= `
const $ { i } start = $ { i } ( $ { o } ) ;
const $ { i } end = $ { i } ( $ { a } ) ;
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void main ( ) {
$ { i } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
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$ { w }
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setOutput ( result ) ;
}
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` }}class cu{constructor(e,t,n,s=!1,i=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");const o=e.filterWidth,a=e.strideHeight,c=e.strideWidth,h=e.dilationHeight,d=e.dilationWidth,m=e.effectiveFilterHeight,y=e.effectiveFilterWidth,b=e.padInfo.top,w=e.padInfo.left;this.outputShape=e.outShape;const L=t==="avg",T= ` ( ( batch * $ { e . inHeight } + xR ) * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ,A= ` ( xR * $ { e . inWidth } + xC ) * $ { e . inChannels } + d ` ;let N="0.0";if(L||(N="-1.0 / 1e-20"),n){const $ =">=";this.userCode= `
const ivec2 strides = ivec2 ( $ { a } , $ { c } ) ;
const ivec2 pads = ivec2 ( $ { b } , $ { w } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
float avgValue = 0.0 ;
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for ( int wR = 0 ; wR < $ { m } ;
wR += $ { h } ) {
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int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { y } ;
wC += $ { d } ) {
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int xC = xCCorner + wC ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float value = getX ( batch , xR , xC , d ) ;
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
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if ( value $ { $ } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
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minMaxPosition = $ { s ? i ? T : A : ` wR * ${ y } + wC ` } ;
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}
}
}
setOutput ( float ( minMaxPosition ) ) ;
}
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` ;return}const E="max";let D= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(D="avgValue / count");const F=Math.floor(o/4)*4,_=o%4,B= `
if ( $ { L } ) {
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avgValue += dot ( values , ones ) ;
} else {
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minMaxValue = $ { E } ( values , minMaxValue ) ;
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}
` ;this.userCode= `
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const ivec2 strides = ivec2 ( $ { a } , $ { c } ) ;
const ivec2 pads = ivec2 ( $ { b } , $ { w } ) ;
const float initializationValue = $ { N } ;
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const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float count = 0.0 ;
float getValue ( int batch , int xR , int xC , int d ) {
if ( xC < 0 || xC >= $ { e . inWidth } ) {
return initializationValue ;
}
count += 1.0 ;
return getX ( batch , xR , xC , d ) ;
}
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
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vec4 minMaxValue = vec4 ( $ { N } ) ;
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float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wR = 0 ; wR < $ { m } ;
wR += $ { h } ) {
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int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { F } ; wC += 4 ) {
int xC = xCCorner + wC * $ { d } ;
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
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getValue ( batch , xR , xC + $ { d } , d ) ,
getValue ( batch , xR , xC + 2 * $ { d } , d ) ,
getValue ( batch , xR , xC + 3 * $ { d } , d )
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) ;
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$ { B }
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}
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int xC = xCCorner + $ { F } ;
if ( $ { _ === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { B }
} else if ( $ { _ === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
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getValue ( batch , xR , xC + $ { d } , d ) ,
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initializationValue ,
initializationValue
) ;
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$ { B }
} else if ( $ { _ === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
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getValue ( batch , xR , xC + $ { d } , d ) ,
getValue ( batch , xR , xC + 2 * $ { d } , d ) ,
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initializationValue
) ;
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$ { B }
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}
}
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setOutput ( $ { D } ) ;
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}
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` }}class OS{constructor(e,t,n,s=!1,i=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");const o=e.filterWidth,a=e.strideDepth,c=e.strideHeight,h=e.strideWidth,d=e.dilationDepth,m=e.dilationHeight,y=e.dilationWidth,b=e.effectiveFilterDepth,w=e.effectiveFilterHeight,L=e.effectiveFilterWidth,T=e.padInfo.front,A=e.padInfo.top,N=e.padInfo.left;this.outputShape=e.outShape;const E=t==="avg";let D="0.0";if(E||(D="-1.0 / 1e-20"),n){const q=">=";this.userCode= `
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const ivec3 strides =
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ivec3 ( $ { a } , $ { c } , $ { h } ) ;
const ivec3 pads = ivec3 ( $ { T } , $ { A } , $ { N } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
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for ( int wD = 0 ; wD < $ { b } ;
wD += $ { d } ) {
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int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
}
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for ( int wR = 0 ; wR < $ { w } ;
wR += $ { m } ) {
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int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { L } ;
wC += $ { y } ) {
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int xC = xCCorner + wC ;
if ( xC < 0 || xC >= $ { e . inWidth } ) {
continue ;
}
float value = getX ( batch , xD , xR , xC , ch ) ;
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
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if ( value $ { q } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
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minMaxPosition = $ { s ? i ? ` (((batch * ${ e . inDepth } + xD) * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` ((xD * ${ e . inHeight } + xR) * ${ e . inWidth } + xC) * ${ e . inChannels } + ch ` : ` wD * ${ w } * ${ L } +
wR * $ { L } + wC ` };
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}
}
}
}
setOutput ( float ( minMaxPosition ) ) ;
}
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` ;return}const F="max";let _= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="avg"&&(_="avgValue / count");const B=Math.floor(o/4)*4, $ =o%4,H= `
if ( $ { E } ) {
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avgValue += dot ( values , ones ) ;
} else {
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minMaxValue = $ { F } ( values , minMaxValue ) ;
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}
` ;this.userCode= `
const ivec3 strides =
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ivec3 ( $ { a } , $ { c } , $ { h } ) ;
const ivec3 pads = ivec3 ( $ { T } , $ { A } , $ { N } ) ;
const float initializationValue = $ { D } ;
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const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float count = 0.0 ;
float getValue ( int batch , int xD , int xR , int xC , int ch ) {
if ( xC < 0 || xC >= $ { e . inWidth } ) {
return initializationValue ;
}
count += 1.0 ;
return getX ( batch , xD , xR , xC , ch ) ;
}
void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
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vec4 minMaxValue = vec4 ( $ { D } ) ;
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float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wD = 0 ; wD < $ { b } ;
wD += $ { d } ) {
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int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { e . inDepth } ) {
continue ;
}
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for ( int wR = 0 ; wR < $ { w } ;
wR += $ { m } ) {
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int xR = xRCorner + wR ;
if ( xR < 0 || xR >= $ { e . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { B } ; wC += 4 ) {
int xC = xCCorner + wC * $ { y } ;
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
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getValue ( batch , xD , xR , xC + $ { y } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { y } , ch ) ,
getValue ( batch , xD , xR , xC + 3 * $ { y } , ch )
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) ;
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$ { H }
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}
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int xC = xCCorner + $ { B } ;
if ( $ { $ === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { H }
} else if ( $ { $ === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
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getValue ( batch , xD , xR , xC + $ { y } , ch ) ,
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initializationValue ,
initializationValue
) ;
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$ { H }
} else if ( $ { $ === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
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getValue ( batch , xD , xR , xC + $ { y } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { y } , ch ) ,
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initializationValue
) ;
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$ { H }
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}
}
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setOutput ( $ { _ } ) ;
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}
}
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` }}class iC{constructor(e,t){this.variableNames=["x"];const{windowSize:n,batchSize:s,inSize:i,outSize:o}=e;this.outputShape=[s,o];let a="0.0",c="";t==="prod"?a="1.0":t==="min"?(a="1.0 / 1e-20",c="min"):t==="max"&&(a="-1.0 / 1e-20",c="max");let h= ` $ { t } ( $ { t } ( $ { t } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;t==="sum"?h="sumValue":t==="prod"?h="prodValue":t==="all"?h="allValue":t==="any"&&(h="anyValue");const d=Math.floor(n/4)*4,m=n%4;let y= `
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if ( $ { t === "sum" } ) {
sumValue += dot ( values , ones ) ;
} else if ( $ { t === "prod" } ) {
vec2 tmp = vec2 ( values [ 0 ] , values [ 1 ] ) * vec2 ( values [ 2 ] , values [ 3 ] ) ;
prodValue *= tmp [ 0 ] * tmp [ 1 ] ;
} else {
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minMaxValue = $ { c } ( values , minMaxValue ) ;
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}
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` ,b="vec4";t==="all"?(a="1.0",y= `
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bool reducedAllValue = all ( values ) ;
float floatedReducedAllValue = float ( reducedAllValue ) ;
allValue = float ( allValue >= 1.0 && floatedReducedAllValue >= 1.0 ) ;
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` ,b="bvec4"):t==="any"&&(a="0.0",y= `
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bool reducedAnyValue = any ( values ) ;
float floatedReducedAnyValue = float ( reducedAnyValue ) ;
anyValue = float ( anyValue >= 1.0 || floatedReducedAnyValue >= 1.0 ) ;
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` ,b="bvec4");let w="";i%n>0&&(w= `
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if ( inIdx < 0 || inIdx >= $ { i } ) {
return initializationValue ;
}
` ),this.userCode= `
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const float initializationValue = $ { a } ;
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const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float getValue ( int batch , int inIdx ) {
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$ { w }
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return getX ( batch , inIdx ) ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
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int inOffset = outIdx * $ { n } ;
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vec4 minMaxValue = vec4 ( $ { a } ) ;
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float prodValue = 1.0 ;
float sumValue = 0.0 ;
float allValue = 1.0 ;
float anyValue = 0.0 ;
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for ( int i = 0 ; i < $ { d } ; i += 4 ) {
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int inIdx = inOffset + i ;
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$ { b } values = $ { b } (
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getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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$ { y }
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}
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int inIdx = inOffset + $ { d } ;
if ( $ { m === 1 } ) {
$ { b } values = $ { b } (
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getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { y }
} else if ( $ { m === 2 } ) {
$ { b } values = $ { b } (
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getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
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$ { y }
} else if ( $ { m === 3 } ) {
$ { b } values = $ { b } (
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getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
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$ { y }
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}
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setOutput ( $ { h } ) ;
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}
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` }}class rC{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;let n="";for(let s=0;s<4;s++){let i="thisRC = rc;";s%2===1&&(i+="thisRC.z += 1;"),s>1&&(i+="thisRC.y += 1;"),n+= `
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$ { i }
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$ { s > 0 ? "if(thisRC.y < rows && thisRC.z < cols){" : "" }
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int flatIndex = getFlatIndex ( thisRC ) ;
ivec3 inputRC = inputCoordsFromReshapedOutCoords ( flatIndex ) ;
vec2 inputRCInnerDims = vec2 ( float ( inputRC . y ) , float ( inputRC . z ) ) ;
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result [ $ { s } ] =
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getChannel ( getA ( inputRC . x , inputRC . y , inputRC . z ) , inputRCInnerDims ) ;
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$ { s > 0 ? "}" : "" }
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` }this.userCode= `
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$ { Y8 ( t ) }
$ { vS ( e ) }
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void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
ivec3 thisRC ;
int rows = $ { e [ 1 ] } ;
int cols = $ { e [ 2 ] } ;
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$ { n }
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setOutput ( result ) ;
}
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` }}function Y8(e){const t=jo(["r","c","d"],e);return `
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ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
$ { t }
return ivec3 ( r , c , d ) ;
}
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` }class H8{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;const[,s,i]=t.shape,[,o,a]=e.shape,c=[n&&o>1?s-1:s,n&&a>1?i-1:i],h=[n&&o>1?o-1:o,n&&a>1?a-1:a],d=c[0]/h[0],m=c[1]/h[1],y=1/d,b=1/m,w=Math.ceil(y)*2+2,L=Math.ceil(b)*2+2;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
float accumulator = 0.0 ;
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const float heightScale = float ( $ { d } ) ;
const float widthScale = float ( $ { m } ) ;
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const float invHeightScale = float ( $ { y } ) ;
const float invWidthScale = float ( $ { b } ) ;
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const int winHeight = int ( $ { w } ) ;
const int winWidth = int ( $ { L } ) ;
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// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( startRLerp - float ( winHeight / 2 ) ) ;
float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( startCLerp - float ( winWidth / 2 ) ) ;
// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
// Guard against the window exceeding the bounds of dy
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if ( dyR < 0 || dyR >= $ { o } ) {
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continue ;
}
for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
// Guard against the window exceeding the bounds of dy
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if ( dyC < 0 || dyC >= $ { a } ) {
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continue ;
}
float dxR = float ( dyR ) * heightScale ;
int topDxRIndex = int ( floor ( dxR ) ) ;
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int bottomDxRIndex = int ( min ( ceil ( dxR ) , $ { s - 1 } . 0 ) ) ;
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float dxRLerp = dxR - float ( topDxRIndex ) ;
float inverseDxRLerp = 1.0 - dxRLerp ;
float dxC = float ( dyC ) * widthScale ;
int leftDxCIndex = int ( floor ( dxC ) ) ;
int rightDxCIndex = int ( min ( ceil ( dxC ) , $ { i - 1 } . 0 ) ) ;
float dxCLerp = dxC - float ( leftDxCIndex ) ;
float inverseDxCLerp = 1.0 - dxCLerp ;
if ( r == topDxRIndex && c == leftDxCIndex ) {
// topLeft
accumulator +=
getDy ( b , dyR , dyC , d ) * inverseDxRLerp * inverseDxCLerp ;
}
if ( r == topDxRIndex && c == rightDxCIndex ) {
// topRight
accumulator += getDy ( b , dyR , dyC , d ) * inverseDxRLerp * dxCLerp ;
}
if ( r == bottomDxRIndex && c == leftDxCIndex ) {
// bottomLeft
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * inverseDxCLerp ;
}
if ( r == bottomDxRIndex && c == rightDxCIndex ) {
// bottomRight
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * dxCLerp ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
}
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` }}class q8{constructor(e,t,n,s){this.variableNames=["A"],this.outputShape=[];const[i,o,a,c]=e;this.outputShape=[i,t,n,c];const h=[s&&t>1?o-1:o,s&&n>1?a-1:a],d=[s&&t>1?t-1:t,s&&n>1?n-1:n];this.userCode= `
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const vec2 effectiveInputOverOutputRatioRC = vec2 (
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$ { h [ 0 ] / d [ 0 ] } ,
$ { h [ 1 ] / d [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { o } . 0 , $ { a } . 0 ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
// Fractional source index.
vec2 sourceFracIndexRC = vec2 ( yRC ) * effectiveInputOverOutputRatioRC ;
// Compute the four integer indices.
ivec2 sourceFloorRC = ivec2 ( sourceFracIndexRC ) ;
ivec2 sourceCeilRC = ivec2 (
min ( inputShapeRC - 1.0 , ceil ( sourceFracIndexRC ) ) ) ;
float topLeft = getA ( b , sourceFloorRC . x , sourceFloorRC . y , d ) ;
float bottomLeft = getA ( b , sourceCeilRC . x , sourceFloorRC . y , d ) ;
float topRight = getA ( b , sourceFloorRC . x , sourceCeilRC . y , d ) ;
float bottomRight = getA ( b , sourceCeilRC . x , sourceCeilRC . y , d ) ;
vec2 fracRC = sourceFracIndexRC - vec2 ( sourceFloorRC ) ;
float top = topLeft + ( topRight - topLeft ) * fracRC . y ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracRC . y ;
float newValue = top + ( bottom - top ) * fracRC . x ;
setOutput ( newValue ) ;
}
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` }}class j8{constructor(e,t,n,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];const[i,o,a,c]=e;this.outputShape=[i,t,n,c];const h=[s&&t>1?o-1:o,s&&n>1?a-1:a],d=[s&&t>1?t-1:t,s&&n>1?n-1:n];this.userCode= `
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const vec3 effectiveInputOverOutputRatioRC = vec3 (
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$ { h [ 0 ] / d [ 0 ] } ,
$ { h [ 1 ] / d [ 1 ] } ,
$ { h [ 1 ] / d [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { o } . 0 , $ { a } . 0 ,
$ { a } . 0 ) ;
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float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
}
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
// Calculate values for next column in yRC.z.
ivec3 yRC = coords . yzz + ivec3 ( 0 , 0 , 1 ) ;
// Fractional source index.
vec3 sourceFracIndexRC = vec3 ( yRC ) * effectiveInputOverOutputRatioRC ;
// Compute the four integer indices.
ivec3 sourceFloorRC = ivec3 ( sourceFracIndexRC ) ;
ivec3 sourceCeilRC = ivec3 (
min ( inputShapeRC - 1.0 , ceil ( sourceFracIndexRC ) ) ) ;
// Should we calculate next column and row elements in 2x2 packed cell.
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bool hasNextCol = d < $ { c - 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 ) ;
vec4 bottomLeft = vec4 (
getAValue ( b , sourceCeilRC . x , sourceFloorRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceCeilRC . x , sourceFloorRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceCeilRC . x , sourceFloorRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceCeilRC . x , sourceFloorRC . z , d + 1 ) : 0.0 ) ;
vec4 topRight = vec4 (
getAValue ( b , sourceFloorRC . x , sourceCeilRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceFloorRC . x , sourceCeilRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceFloorRC . x , sourceCeilRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceFloorRC . x , sourceCeilRC . z , d + 1 ) : 0.0 ) ;
vec4 bottomRight = vec4 (
getAValue ( b , sourceCeilRC . x , sourceCeilRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceCeilRC . x , sourceCeilRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceCeilRC . x , sourceCeilRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceCeilRC . x , sourceCeilRC . z , d + 1 ) : 0.0 ) ;
vec3 fracRC = sourceFracIndexRC - vec3 ( sourceFloorRC ) ;
vec4 top = mix ( topLeft , topRight , fracRC . yyzz ) ;
vec4 bottom = mix ( bottomLeft , bottomRight , fracRC . yyzz ) ;
vec4 newValue = mix ( top , bottom , fracRC . x ) ;
setOutput ( newValue ) ;
}
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` }}class K8{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;const[,s,i]=t.shape,[,o,a]=e.shape,c=[n&&o>1?s-1:s,n&&a>1?i-1:i],h=[n&&o>1?o-1:o,n&&a>1?a-1:a],d=c[0]/h[0],m=c[1]/h[1],y=1/d,b=1/m,w=Math.ceil(y)*2+2,L=Math.ceil(b)*2+2;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
float accumulator = 0.0 ;
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const float heightScale = float ( $ { d } ) ;
const float widthScale = float ( $ { m } ) ;
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const float invHeightScale = float ( $ { y } ) ;
const float invWidthScale = float ( $ { b } ) ;
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const int winHeight = int ( $ { w } ) ;
const int winWidth = int ( $ { L } ) ;
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// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( floor ( startRLerp - float ( winHeight / 2 ) ) ) ;
float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( floor ( startCLerp - float ( winWidth / 2 ) ) ) ;
// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
// Guard against the window exceeding the bounds of dy
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if ( dyR < 0 || dyR >= $ { o } ) {
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continue ;
}
for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
// Guard against the window exceeding the bounds of dy
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if ( dyC < 0 || dyC >= $ { a } ) {
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continue ;
}
float sourceFracRow =
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float ( $ { c [ 0 ] } ) *
( float ( dyR ) / float ( $ { h [ 0 ] } ) ) ;
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float sourceFracCol =
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float ( $ { c [ 1 ] } ) *
( float ( dyC ) / float ( $ { h [ 1 ] } ) ) ;
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int sourceNearestRow = int ( min (
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float ( int ( $ { s } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracRow ) ) :
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float ( floor ( sourceFracRow ) ) ) ) ;
int sourceNearestCol = int ( min (
float ( int ( $ { i } ) - 1 ) ,
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$ { n } ? float ( round ( sourceFracCol ) ) :
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float ( floor ( sourceFracCol ) ) ) ) ;
if ( r == sourceNearestRow && c == sourceNearestCol ) {
accumulator += getDy ( b , dyR , dyC , d ) ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
}
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` }}class X8{constructor(e,t,n,s){this.variableNames=["A"],this.outputShape=[];const[i,o,a,c]=e;this.outputShape=[i,t,n,c];const h=[s&&t>1?o-1:o,s&&n>1?a-1:a],d=[s&&t>1?t-1:t,s&&n>1?n-1:n],m=s?"0.5":"0.0";this.userCode= `
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const vec2 effectiveInputOverOutputRatioRC = vec2 (
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$ { h [ 0 ] / d [ 0 ] } ,
$ { h [ 1 ] / d [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { o } . 0 , $ { a } . 0 ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
// Fractional source index.
vec2 sourceFracIndexRC = vec2 ( yRC ) * effectiveInputOverOutputRatioRC ;
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2 (
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min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { m } ) ) ) ;
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float newValue = getA ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ;
setOutput ( newValue ) ;
}
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` }}class J8{constructor(e,t){this.variableNames=["x"];const n=e.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );if(this.outputShape=e,n===1){this.userCode= `
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void main ( ) {
int coord = getOutputCoords ( ) ;
setOutput ( getX ( $ { e [ 0 ] } - coord - 1 ) ) ;
}
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` ;return}const s=a=>t.indexOf(a)!==-1&&e[a]!==1? ` $ { e [ a ] } - coords [ $ { a } ] - 1 ` : ` coords [ $ { a } ] ` ,i=e.map((a,c)=>s(c)).join(","),o=Et(n);this.userCode= `
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void main ( ) {
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$ { o } coords = getOutputCoords ( ) ;
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setOutput ( getX ( $ { i } ) ) ;
}
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` }}class Z8{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;const n=e.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );this.outputShape=e;const s=ls("rc",n),i= ` $ { s [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,o= ` $ { s [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,a=Et(n);n===1?this.userCode= `
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void main ( ) {
int rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = getChannel ( getX ( $ { e [ 0 ] } - rc - 1 ) ,
$ { e [ 0 ] } - rc - 1 ) ;
if ( $ { i } ) {
result . g = getChannel ( getX ( $ { e [ 0 ] } - ( rc + 1 ) - 1 ) ,
$ { e [ 0 ] } - ( rc + 1 ) - 1 ) ;
}
setOutput ( result ) ;
}
` :this.userCode= `
void main ( ) {
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$ { a } rc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0. ) ;
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result . r = $ { c ( s . slice ( ) ) } ;
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if ( $ { i } ) {
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result . g = $ { h ( s . slice ( ) ) } ;
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}
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if ( $ { o } ) {
result . b = $ { d ( s . slice ( ) ) } ;
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if ( $ { i } ) {
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result . a = $ { m ( s . slice ( ) ) } ;
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}
}
setOutput ( result ) ;
}
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` ;function c(w){return y(w)}function h(w){return w[n-1]="("+w[n-1]+" + 1)",y(w)}function d(w){return w[n-2]="("+w[n-2]+" + 1)",y(w)}function m(w){return w[n-1]="("+w[n-1]+" + 1)",w[n-2]="("+w[n-2]+" + 1)",y(w)}function y(w){const L=e.map((N,E)=>b(E,w)),T=L.join(","),A=L.slice(-2).join(",");return ` getChannel ( getX ( $ { T } ) , vec2 ( $ { A } ) ) ` }function b(w,L){return t.indexOf(w)!==-1&&e[w]!==1? ` $ { e [ w ] } - $ { L [ w ] } - 1 ` : ` $ { L [ w ] } ` }}}class oC{constructor(e,t,n,s,i,o,a=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=o;const c=Et(i.length),h=Et(o.length);let d="";n===1?d="i":n===2&&(d="i, j");const m= ` getIndices ( $ { d } ) ` ;let y="";s===1?y="i":s===2&&(y="i, coords[1]");const b= ` getUpdates ( $ { y } ) ` ,w=t>1?"strides[j]":"strides";this.userCode= `
$ { c } strides = $ { c } ( $ { i } ) ;
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void main ( ) {
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$ { h } coords = getOutputCoords ( ) ;
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float sum = 0.0 ;
bool found = false ;
for ( int i = 0 ; i < $ { e } ; i ++ ) {
int flattenedIndex = 0 ;
for ( int j = 0 ; j < $ { t } ; j ++ ) {
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int index = round ( $ { m } ) ;
flattenedIndex += index * $ { w } ;
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}
if ( flattenedIndex == coords [ 0 ] ) {
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sum += $ { b } ;
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found = true ;
}
}
setOutput ( mix ( getDefaultValue ( ) , sum , float ( found ) ) ) ;
}
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` }}class Q8{constructor(e,t){this.variableNames=["x","segmentIds"];const n=e.windowSize,s=e.batchSize,i=e.inSize,o=e.numSegments,a=o*Math.ceil(i/n);this.outputShape=[s,a];const c="0.0",h="sumValue",d=Math.floor(n/4)*4,m=n%4,y= `
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sumValue += dot ( values , segFilter ) ;
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` ;let b="";i%n>0&&(b= `
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if ( inIdx < 0 || inIdx >= $ { i } ) {
return initializationValue ;
}
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` );let w="";i%n>0&&(w= `
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if ( inIdx < 0 || inIdx >= $ { i } ) {
return - 1.0 ;
}
` ),this.userCode= `
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const float initializationValue = $ { c } ;
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float getValue ( int batch , int inIdx ) {
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$ { b }
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return getX ( batch , inIdx ) ;
}
float getSegmentIdAtIndex ( int inIdx ) {
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$ { w }
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return getSegmentIds ( inIdx ) ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = int ( floor ( float ( outIdx ) / float (
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$ { o } ) ) * float ( $ { n } ) ) ;
int currentSeg = int ( mod ( float ( outIdx ) , float ( $ { o } ) ) ) ;
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float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { d } ; i += 4 ) {
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int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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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$ { y }
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}
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int inIdx = inOffset + $ { d } ;
if ( $ { m === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
int inIdxSeg = int ( getSegmentIdAtIndex ( inIdx ) ) ;
vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
0 ,
0 ,
0
) ;
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$ { y }
} else if ( $ { m === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
0 ,
0
) ;
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$ { y }
} else if ( $ { m === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 2 ) ) == currentSeg ? 1 : 0 ,
0
) ;
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$ { y }
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}
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setOutput ( $ { h } ) ;
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}
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` }}class e6{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let s,i;if(n>4)throw Error( ` Where for rank $ { n } is not yet supported ` );if(n===1)i="resRC",s="resRC";else{const a=["resRC.x","resRC.y","resRC.z","resRC.w"],c=[],h=[];for(let d=0;d<t.length;d++)h.push( ` $ { a [ d ] } ` ),d<e&&c.push( ` $ { a [ d ] } ` );s=c.join(),i=h.join()}const o=Et(n);this.userCode= `
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void main ( ) {
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$ { o } resRC = getOutputCoords ( ) ;
float cVal = getC ( $ { s } ) ;
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if ( cVal >= 1.0 ) {
setOutput ( getA ( $ { i } ) ) ;
} else {
setOutput ( getB ( $ { i } ) ) ;
}
}
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` }}class t6{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;const t=Et(this.rank),n= ` uniform int start [ $ { this . rank } ] ; ` ,s=n6(this.rank);let i;const o=e.map((a,c)=> ` sourceLoc . $ { ES [ c ] } = start [ $ { c } ] + coords . $ { ES [ c ] } ; ` );i= `
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$ { t } sourceLoc ;
$ { t } coords = getOutputCoords ( ) ;
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$ { o . join ( `
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` )}
` ,this.userCode= `
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$ { n }
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void main ( ) {
$ { i }
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setOutput ( getSource ( $ { s } ) ) ;
}
` }getCustomSetupFunc(e){if(e.length!==this.rank)throw Error( ` The rank ( $ { this . rank } ) of the program must match the length of start ( $ { e . length } ) ` );return(t,n)=>{if(this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null))return;t.gl.uniform1iv(this.startLoc,e)}}}const ES=["x","y","z","w","u","v"];function n6(e){if(e===1)return"sourceLoc";if(e<=6)return ES.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error( ` Slicing for rank $ { e } is not yet supported ` )}class s6{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;const t=Et(this.rank),n=ls("coords",this.rank),s=ls("sourceLoc",this.rank),i=this.rank===1?"sourceLoc": ` vec2 ( $ { s . slice ( - 2 ) . join ( ) } ) ` ,o= ` getChannel ( getSource ( $ { s . join ( ) } ) , $ { i } ) ` ,a= `
result . x = $ { o } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { s [ this . rank - 1 ] } ;
result . y = $ { o } ;
-- $ { s [ this . rank - 1 ] } ;
}
` ,c=this.rank===1?"": `
-- $ { n [ this . rank - 1 ] } ;
if ( ++ $ { n [ this . rank - 2 ] } < $ { e [ this . rank - 2 ] } ) {
++ $ { s [ this . rank - 2 ] } ;
result . z = $ { o } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { e [ this . rank - 1 ] } ) {
++ $ { s [ this . rank - 1 ] } ;
result . w = $ { o } ;
}
}
` ,h=this.rank<=4? ` sourceLoc = coords +
$ { t } ( $ { e . map ( ( d , m ) => ` start[ ${ m } ] ` ) . join ( ) } ) ; ` :e.map((d,m)=> ` $ { s [ m ] } = $ { n [ m ] } + start [ $ { m } ] ; ` ).join( `
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` );this.userCode= `
uniform int start [ $ { this . rank } ] ;
void main ( ) {
$ { t } coords = getOutputCoords ( ) ;
$ { t } sourceLoc ;
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$ { h }
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vec4 result = vec4 ( 0. ) ;
$ { a }
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$ { c }
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setOutput ( result ) ;
}
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` }getCustomSetupFunc(e){if(e.length!==this.rank)throw Error( ` The rank ( $ { this . rank } ) of the program must match the length of start ( $ { e . length } ) ` );return(t,n)=>{if(this.startLoc==null&&(this.startLoc=t.getUniformLocationNoThrow(n,"start"),this.startLoc==null))return;t.gl.uniform1iv(this.startLoc,e)}}}class i6{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;const s=n.length,i=Et(n.length),o=Et(n.length);let a="";if(s===1)a="coords * strides + begin";else{let c=0;a=n.map((h,d)=>(c++,n.length===1? ` coords * strides [ $ { d } ] + begin [ $ { d } ] ` : ` coords [ $ { c - 1 } ] * strides [ $ { d } ] + begin [ $ { d } ] ` )).join(",")}this.userCode= `
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$ { i } begin = $ { i } ( $ { e } ) ;
$ { i } strides = $ { i } ( $ { t } ) ;
void main ( ) {
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$ { o } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { a } ) ) ;
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}
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` }}class r6{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){const s=cC(t,n),i=lC(e,s,n);i in this.freeTextures||(this.freeTextures[i]=[]),i in this.usedTextures||(this.usedTextures[i]=[]);const o=aC(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[i].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();const c=this.freeTextures[i].shift();return this.usedTextures[i].push(c),c}let a;return s===Sn.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):s===Sn.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):s===Sn.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):s===Sn.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):s===Sn.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[i].push(a),this.numUsedTextures++,this._numBytesAllocated+=o,this.log(),a}releaseTexture(e,t,n,s){if(this.freeTextures==null)return;const i=cC(n,s),o=lC(t,i,s);o in this.freeTextures||(this.freeTextures[o]=[]);const a=aC(t,i,this.gpgpu.gl,this.gpgpu.textureConfig,s),c=C().get("WEBGL_DELETE_TEXTURE_THRESHOLD");c!==-1&&this._numBytesAllocated>c?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=a):(this.freeTextures[o].push(e),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;const h=this.usedTextures[o],d=h.indexOf(e);if(d<0)throw new Error("Cannot release a texture that was never provided by this texture manager");h.splice(d,1),this.log()}log(){if(!this.logEnabled)return;const e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used", ` $ { this . numFreeTextures } / $ { this . numUsedTextures } ` , ` ( $ { e } ) ` );const t=this._numBytesFree/this._numBytesAllocated;console.log( ` Bytes allocated : $ { this . _numBytesAllocated } ` ),console.log( ` Bytes unused : $ { this . _numBytesFree } ( $ { Math . round ( 100 * t ) } % ) ` )}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures==null)return;for(const e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});for(const e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}function o6(e,t){const n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error( ` Unknown internal format $ { t } ` )}function aC(e,t,n,s,i){const o=a6(t,s);let a;if(i){const[h,d]=lc(e[0],e[1]);a=h*d}else{const[h,d]=iu(e[0],e[1]);a=h*d}const c=o6(n,o);return a*c}function a6(e,t){switch(e){case Sn.PACKED_2X2_FLOAT32:return tC(t);case Sn.PACKED_2X2_FLOAT16:return nC(t);case Sn.UNPACKED_FLOAT32:return Z0(t);case Sn.UNPACKED_FLOAT16:return Q0(t);case Sn.PACKED_4X1_UNSIGNED_BYTE:return eC(t);default:throw new Error( ` Unknown physical texture type $ { e } ` )}}function c6(e){return C().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?Sn.PACKED_2X2_FLOAT32:Sn.UNPACKED_FLOAT32:e?Sn.PACKED_2X2_FLOAT16:Sn.UNPACKED_FLOAT16}function cC(e,t){if(e===As.UPLOAD)return Sn.PACKED_2X2_FLOAT32;if(e===As.RENDER||e==null)return c6(t);if(e===As.DOWNLOAD||e===As.PIXELS)return Sn.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { e } ` )}function lC(e,t,n){return ` $ { e [ 0 ] } _$ { e [ 1 ] } _$ { t } _$ { n } ` }class l6{constructor(e,t){this.variableNames=["A"];const n=new Array(e.length);for(let o=0;o<n.length;o++)n[o]=e[o]*t[o];this.outputShape=n,this.rank=n.length;const s=Et(this.rank),i=h6(e);this.userCode= `
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void main ( ) {
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$ { s } resRC = getOutputCoords ( ) ;
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setOutput ( getA ( $ { i } ) ) ;
}
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` }}function h6(e){const t=e.length;if(t>5)throw Error( ` Tile for rank $ { t } is not yet supported ` );if(t===1)return ` imod ( resRC , $ { e [ 0 ] } ) ` ;const n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],s=[];for(let i=0;i<e.length;i++)s.push( ` imod ( $ { n [ i ] } , $ { e [ i ] } ) ` );return s.join()}class st{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.userCode= `
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float unaryOperation ( float x ) {
$ { t }
}
void main ( ) {
float x = getAAtOutCoords ( ) ;
float y = unaryOperation ( x ) ;
setOutput ( y ) ;
}
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` }}const cr="if (isnan(x)) return x;",u6="return x;",hC="return abs(x);",uC=cr+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,dC=cr+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,pC="return (x >= 0.0) ? x : (exp(x) - 1.0);",d6= `
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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 = $ { fp } ;
float scale = $ { gp } ;
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return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
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` ;function p6(e=0){return cr+ `
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return x > 0.0 ? 1.0 : float ( $ { e } ) ;
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` }const mC="return -x;",fC="return ceil(x);",gC="return floor(x);",m6= `
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if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
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` ,f6="return float(isnan(x));",g6="return float(isinf(x));",y6="return float(!isnan(x) && !isinf(x));",b6= `
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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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` ,yC="return exp(x);",bC="return exp(x) - 1.0;",w6= ` if ( x < 0.0 ) return NAN ;
return log ( x ) ; ` ,L6="return log(1.0 + x);",S6="return sqrt(x);",I6="return inversesqrt(x);",x6="return 1.0 / (1.0 + exp(-1.0 * x));",T6= `
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float epsilon = 1.1920928955078125 e - 7 ;
float threshold = log ( epsilon ) + 2.0 ;
bool too _large = x > - threshold ;
bool too _small = x < threshold ;
float result ;
float exp _x = exp ( x ) ;
if ( too _large ) {
result = x ;
}
else if ( too _small ) {
result = exp _x ;
}
else {
result = log ( exp _x + 1.0 ) ;
}
return result ;
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` ,A6=cr+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return asin ( x ) ;
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` ,v6=cr+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return acos ( x ) ;
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` ,N6=cr+ `
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return atan ( x ) ;
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` ,C6= `
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float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
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` ,R6= `
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float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
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` ,O6= `
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float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
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` ,E6=cr+"return log(x + sqrt(x * x + 1.0));",D6=cr+ `
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if ( x < 1.0 ) return NAN ;
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return log ( x + sqrt ( x * x - 1.0 ) ) ; ` ,k6=cr+ `
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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 ; ` ,F6= `
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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 = $ { rw } ;
float a1 = $ { ow } ;
float a2 = $ { aw } ;
float a3 = $ { cw } ;
float a4 = $ { lw } ;
float a5 = $ { hw } ;
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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 ) ) ;
2020-10-13 22:57:06 +02:00
` ,_6="return 1.0 / x;",W6="return float(!(x >= 1.0));", $ 6="return float(int(x));",mm="return x;";const U6="return x;",B6= `
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vec4 result = log ( x ) ;
vec4 isNaN = vec4 ( lessThan ( x , vec4 ( 0.0 ) ) ) ;
result . r = isNaN . r == 1.0 ? NAN : result . r ;
result . g = isNaN . g == 1.0 ? NAN : result . g ;
result . b = isNaN . b == 1.0 ? NAN : result . b ;
result . a = isNaN . a == 1.0 ? NAN : result . a ;
return result ;
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` ,wC= `
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vec4 result = x * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
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` ,LC= `
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vec4 result = min ( x , vec4 ( 6. ) ) * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
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` ,SC= `
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vec4 result ;
result . r = ( x . r >= 0.0 ) ? x . r : ( exp ( x . r ) - 1.0 ) ;
result . g = ( x . g >= 0.0 ) ? x . g : ( exp ( x . g ) - 1.0 ) ;
result . b = ( x . b >= 0.0 ) ? x . b : ( exp ( x . b ) - 1.0 ) ;
result . a = ( x . a >= 0.0 ) ? x . a : ( exp ( x . a ) - 1.0 ) ;
return result ;
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` ;class lu{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode= `
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vec4 unaryOperation ( vec4 x ) {
$ { t }
}
void main ( ) {
vec4 x = getAAtOutCoords ( ) ;
vec4 y = unaryOperation ( x ) ;
setOutput ( y ) ;
}
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` }}class M6{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e;const t=e.length,n=ls("rc",t),s=Et(t),i=TK(t,n),o=n.slice(-2),a=t<=1?"rc": ` vec2 ( $ { o . join ( "," ) } ) ` ;this.userCode= `
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void main ( ) {
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$ { s } rc = getOutputCoords ( ) ;
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vec4 packedInput = getA ( $ { i } ) ;
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setOutput ( getChannel ( packedInput , $ { a } ) ) ;
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}
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` }}const{segment_util:IC}=pw,P6=mw,z6=fw,G6=gw,V6=ip,Y6=1e-7,H6=1e-4,fm={};function q6(e){return e in fm||(fm[e]={}),fm[e]}function gm(e,t=!1){if(e==="linear")return t?U6:u6;if(e==="relu")return t?wC:uC;if(e==="elu")return t?SC:pC;if(e==="relu6")return t?LC:dC;if(e==="prelu")return t?G0:z0;throw new Error( ` Activation $ { e } has not been implemented for the WebGL backend . ` )}const j6=128,K6=600;function X6(){return C().global.screen==null?1024:C().global.screen.height*C().global.screen.width*window.devicePixelRatio*K6/1024/1024}const xC=1e3;class J6 extends g{constructor(e){super();if(this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.warnedAboutMemory=!1,this.warnedAboutCPUBackend=!1,this.pendingDeletes=0,this.disposed=!1,!C().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){const t=Wi(C().getNumber("WEBGL_VERSION"));this.binaryCache=q6(C().getNumber("WEBGL_VERSION")),this.gpgpu=new A8(t),this.canvas=t.canvas,this.gpgpuCreatedLocally=!0}else this.gpgpu=e,this.binaryCache={},this.gpgpuCreatedLocally=!1,this.canvas=e.gl.canvas;this.textureManager=new r6(this.gpgpu),this.numMBBeforeWarning=X6(),this.texData=new p(this,_s())}numDataIds(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes}write(e,t,n){if((C().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||C().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");const s={};return this.texData.set(s,{shape:t,dtype:n,values:e,usage:As.UPLOAD,refCount:1}),s}incRef(e){const t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){const t=this.texData.get(e);t.refCount--}}move(e,t,n,s){if(C().getBool("DEBUG")&&this.checkNumericalProblems(t),s==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:s,values:t,usage:As.UPLOAD,refCount:1})}disposeIntermediateTensorInfo(e){const t=e.dataId;if(this.texData.has(t)){const n=this.texData.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}readSync(e){const t=this.texData.get(e),{values:n,dtype:s,complexTensors:i,slice:o,shape:a,isPacked:c}=t;if(o!=null){let y;c?y=new lu(a,mm):y=new st(a,mm);const b=this.runWebGLProgram(y,[{dataId:e,shape:a,dtype:s}],s),w=this.readSync(b.dataId);return this.disposeIntermediateTensorInfo(b),w}if(n!=null)return this.convertAndCacheOnCPU(e);if(s==="string")return n;const h=this.activeTimers!=null;let d;h&&(d=Yn());let m;if(s==="complex64"){const y=i.real.dataSync(),b=i.imag.dataSync();m=er(y,b)}else m=this.getValuesFromTexture(e);return h&&(this.downloadWaitMs+=Yn()-d),this.convertAndCacheOnCPU(e,m)}async read(e){if(this.pendingRead.has(e)){const w=this.pendingRead.get(e);return new Promise(L=>w.push(L))}const t=this.texData.get(e),{values:n,shape:s,slice:i,dtype:o,complexTensors:a,isPacked:c}=t;if(i!=null){let w;c?w=new lu(s,mm):w=new st(s,mm);const L=this.runWebGLProgram(w,[{dataId:e,shape:s,dtype:o}],o),T=this.read(L.dataId);return this.disposeIntermediateTensorInfo(L),T}if(n!=null)return this.convertAndCacheOnCPU(e);if(!C().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&C().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let h=null,d;if(o!=="complex64"&&C().get("WEBGL_BUFFER_SUPPORTED")){d=this.decode(e);const w=this.texData.get(d.dataId);h=this.gpgpu.createBufferFromTexture(w.texture,...ru(s))}this.pendingRead.set(e,[]),o!=="complex64"&&await this.gpgpu.createAndWaitForFence();let m;if(o==="complex64"){const w=await Promise.all([a.real.data(),a.imag.data()]),L=w[0],T=w[1];m=er(L,T)}else if(h==null)m=this.getValuesFromTexture(e);else{const w=we(s);m=this.gpgpu.downloadFloat32MatrixFromBuffer(h,w)}d!=null&&this.disposeIntermediateTensorInfo(d);const y=this.convertAndCacheOnCPU(e,m),b=this.pendingRead.get(e);return this.pe
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,nX= `
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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 ym(e){return({inputs:t,backend:n})=>{const{x:s}=t,i=n,o=new st(s.shape,e);return i.runWebGLProgram(o,[s],s.dtype)}}function DS(e,t,n,s){return({inputs:i,backend:o})=>{const{a,b:c}=i,h=o,d=C().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new jr(t,a.shape,c.shape,!!n):new hn(e,a.shape,c.shape),m=s||a.dtype,y=h.runWebGLProgram(d,[a,c],m);return y}}const sX=tX+ `
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return atan ( a , b ) ;
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` ,iX= `
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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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` +nX+ `
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return result ;
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` ,rX=DS(sX,iX),oX={kernelName:Si,backendName:"webgl",kernelFunc:rX};function kS(e){const{inputs:t,backend:n}=e,{x:s}=t;return n.incRef(s.dataId),{dataId:s.dataId,shape:s.shape,dtype:s.dtype}}const aX={kernelName:yl,backendName:"webgl",kernelFunc:kS};function cX(e){const{inputs:t,backend:n,attrs:s}=e,{x:i}=t;ou(i,"avgPool");const{filterSize:o,strides:a,pad:c,dimRoundingMode:h}=s,d=1;k(rn(a,d),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { a } and dilations '${d}' ` );const m=Fn(i.shape,o,a,d,c,h);if(m.filterWidth===1&&m.filterHeight===1&&ot(m.inShape,m.outShape))return kS({inputs:{x:i},backend:n});const y=new cu(m,"avg",!1);return n.runWebGLProgram(y,[i],"float32")}const lX={kernelName:Qs,backendName:"webgl",kernelFunc:cX};function hX(e){const{inputs:t,backend:n,attrs:s}=e,{dy:i,input:o}=t,a=o;ou([i,o],"avgPoolBackprop");const{filterSize:c,strides:h,pad:d}=s,m=Fn(a.shape,c,h,1,d),y=new c5(m);return n.runWebGLProgram(y,[i],a.dtype)}const uX={kernelName:ya,backendName:"webgl",kernelFunc:hX};class dX{constructor(e,t,n,s,i,o){this.outputShape=[],this.variableNames=["x","mean","variance"],tt(e,t),tt(e,n);let a="0.0";s!=null&&(tt(e,s),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let c="1.0";i!=null&&(tt(e,i),this.variableNames.push("scale"),c="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
float x = getXAtOutCoords ( ) ;
float mean = getMeanAtOutCoords ( ) ;
float variance = getVarianceAtOutCoords ( ) ;
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float offset = $ { a } ;
float scale = $ { c } ;
float inv = scale * inversesqrt ( variance + float ( $ { o } ) ) ;
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setOutput ( dot ( vec3 ( x , - mean , offset ) , vec3 ( inv , inv , 1 ) ) ) ;
}
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` }}class pX{constructor(e,t,n,s,i,o){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],tt(e,t),tt(e,n);let a="vec4(0.0)";s!=null&&(tt(e,s),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let c="vec4(1.0)";i!=null&&(tt(e,i),this.variableNames.push("scale"),c="getScaleAtOutCoords()"),this.outputShape=e,this.userCode= `
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void main ( ) {
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vec4 offset = $ { a } ;
vec4 scale = $ { c } ;
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vec4 x = getXAtOutCoords ( ) ;
vec4 mean = getMeanAtOutCoords ( ) ;
vec4 variance = getVarianceAtOutCoords ( ) ;
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vec4 inv = scale * inversesqrt ( variance + vec4 ( $ { o } ) ) ;
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setOutput ( ( x - mean ) * inv + offset ) ;
}
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` }}const mX=({inputs:e,backend:t,attrs:n})=>{const{x:s,mean:i,variance:o,offset:a,scale:c}=e;k(i.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),k(a==null||i.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),k(c==null||i.shape.length===c.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:h}=n;h==null&&(h=.001);const d=[s,i,o];let m=null;a!=null&&(m=a.shape,d.push(a));let y=null;c!=null&&(y=c.shape,d.push(c));const b=C().getBool("WEBGL_PACK_NORMALIZATION")?new pX(s.shape,i.shape,o.shape,m,y,h):new dX(s.shape,i.shape,o.shape,m,y,h),w=t.runWebGLProgram(b,d,d[0].dtype);return w},fX={kernelName:gl,backendName:"webgl",kernelFunc:mX};const gX=TC+ `
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return cos ( x ) ;
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` ,yX=ym(gX),bX={kernelName:ba,backendName:"webgl",kernelFunc:yX};const wX= `
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if ( a == b ) {
return 1.0 ;
} ;
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return a / b ; ` ,LX= `
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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. ;
}
if ( a . y == b . y ) {
result . y = 1. ;
}
if ( a . z == b . z ) {
result . z = 1. ;
}
if ( a . w == b . w ) {
result . w = 1. ;
}
return result ;
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` ,SX=DS(wX,LX,!0),IX={kernelName:wa,backendName:"webgl",kernelFunc:SX};class xX{constructor(e){this.variableNames=["Image"],this.outputShape=[];const t=e[2];this.outputShape=e,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int coordX = $ { t } - x ;
float outputValue ;
if ( coordX >= 0 && coordX < $ { t } ) {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coordX , coords [ 3 ] ) ;
} else {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coords [ 2 ] , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
}
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` }}const TX={kernelName:Ju,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{const{image:n}=e,s=t,i=new xX(n.shape),o=s.runWebGLProgram(i,[n],n.dtype);return o}};class AX{constructor(e){this.variableNames=["A"];const t=Wn(),[n,s]=e;this.outputShape=e,this.userCode= `
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
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vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { s } . 0 , $ { n } . 0 ) ;
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vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
setOutput ( floor ( value * 255.0 + 0.5 ) ) ;
}
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` }}class vX{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;const t=Wn(),[n,s]=e;this.outputShape=e,this.userCode= `
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
vec4 result = vec4 ( 0. ) ;
for ( int row = 0 ; row <= 1 ; row ++ ) {
for ( int col = 0 ; col <= 1 ; col ++ ) {
texC = coords [ 1 ] + row ;
depth = coords [ 2 ] + col ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
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vec2 ( $ { s } . 0 , $ { n } . 0 ) ;
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vec4 values = $ { t . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
}
}
$ { t . output } = result ;
}
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` }}const NX={kernelName:ld,backendName:"webgl",kernelFunc:CX};let gc;function CX(e){const{inputs:t,backend:n,attrs:s}=e;let{pixels:i}=t;const{numChannels:o}=s,a=typeof HTMLVideoElement!="undefined"&&i instanceof HTMLVideoElement,c=typeof HTMLImageElement!="undefined"&&i instanceof HTMLImageElement,[h,d]=a?[i.videoWidth,i.videoHeight]:[i.width,i.height],m=[d,h],y=[d,h,o];(c||a)&&(gc==null&&(gc=document.createElement("canvas").getContext("2d")),gc.canvas.width=h,gc.canvas.height=d,gc.drawImage(i,0,0,h,d),i=gc.canvas);const b=n.makeTensorInfo(m,"int32");n.texData.get(b.dataId).usage=As.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(b.dataId),i);const w=C().getBool("WEBGL_PACK")?new vX(y):new AX(y),L=n.runWebGLProgram(w,[b],"int32");return n.disposeData(b.dataId),L}function RX(e){const t=[];for(;t.length===0||t[t.length-1].outSize!==1;){const n=t.length?t[t.length-1].outSize:e[1],s=ah(n);t.push({inSize:n,windowSize:s,outSize:Math.ceil(n/s)})}return t}function OX(e,t,n,s){const i=RX(e.shape);let o=e;for(let a=0;a<i.length;a++){const{inSize:c,windowSize:h,outSize:d}=i[a],m=new iC({windowSize:h,inSize:c,batchSize:e.shape[0],outSize:d},n),y=o;o=s.runWebGLProgram(m,[o],t),y.dataId!==e.dataId&&s.disposeData(y.dataId)}return o}function EX(e,t,n){const s=[hc(e.shape),...uc(e.shape)],i={dtype:e.dtype,shape:s,dataId:e.dataId},o=[hc(t),...uc(t)],a=new rC(o,s),c=!0,h=n.runWebGLProgram(a,[i],e.dtype,null,c);return{dataId:h.dataId,shape:t,dtype:h.dtype}}function FS(e){const{inputs:t,backend:n,attrs:s}=e,{x:i}=t,{shape:o}=s,a=n,c=we(i.shape),h=md(o,c),d=we(h);k(c===d,()=> ` The new shape ( $ { h } ) has $ { d } elements and the old shape ( $ { i . shape } ) has $ { c } elements . The new shape and old shape must have the same number of elements . ` );const m=a.texData.get(i.dataId);return m.isPacked&&!cm(i.shape,h)&&!(m.texture!==null&&cm(m.shape,h))?EX(i,h,a):(a.incRef(i.dataId),{dataId:i.dataId,shape:h,dtype:i.dtype})}const DX={kernelName:Nl,backendName:"webgl",kernelFunc:FS};function kX(e,t,n,s){const i=we(t),o=we(e.shape),a=o/i,c=FS({inputs:{x:e},attrs:{shape:[a,i]},backend:s}),h=OX(c,e.dtype,"max",s),d=FS({inputs:{x:h},attrs:{shape:n},backend:s});return s.disposeIntermediateTensorInfo(c),s.disposeIntermediateTensorInfo(h),d}class FX{constructor(e,t){this.variableNames=["A"];const n=new Array(e.length);for(let o=0;o<n.length;o++)n[o]=e[t[o]];this.outputShape=n,this.rank=n.length;const s=Et(this.rank),i=_X(t);this.userCode= `
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void main ( ) {
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$ { s } resRC = getOutputCoords ( ) ;
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setOutput ( getA ( $ { i } ) ) ;
}
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` }}function _X(e){const t=e.length;if(t>6)throw Error( ` Transpose for rank $ { t } is not yet supported ` );const n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],s=new Array(t);for(let i=0;i<e.length;i++)s[e[i]]=n[i];return s.join()}class WX{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;const n=new Array(e.length);for(let d=0;d<n.length;d++)n[d]=e[t[d]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error( ` Packed transpose for rank $ { this . rank } is not yet supported . ` );const s=Et(this.rank),i=k0("rc",this.rank),o=new Array(this.rank);for(let d=0;d<t.length;d++)o[t[d]]=i[d];const a= ` vec2 ( $ { o . slice ( - 2 ) . join ( ) } ) ` ,c= ` ++ $ { i [ this . rank - 1 ] } < $ { n [ this . rank - 1 ] } ` ,h= ` getChannel ( getA ( $ { o . join ( ) } ) , $ { a } ) ` ;this.userCode= `
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void main ( ) {
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$ { s } rc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0. ) ;
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result [ 0 ] = $ { h } ;
if ( $ { c } ) {
result [ 1 ] = $ { h } ;
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}
-- $ { i [ this . rank - 1 ] } ;
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if ( ++ $ { i [ this . rank - 2 ] } < $ { n [ this . rank - 2 ] } ) {
result [ 2 ] = $ { h } ;
if ( $ { c } ) {
result [ 3 ] = $ { h } ;
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}
}
setOutput ( result ) ;
}
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` }}function AC(e,t,n){const s=C().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new WX(e.shape,t):new FX(e.shape,t);return n.runWebGLProgram(s,[e],e.dtype)}const $ X={kernelName:xl,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{x:s}=e,{reductionIndices:i,keepDims:o}=t,a=n,c=s.shape.length,h=gt(i,s.shape);let d=h;const m=kn(d,c),y=m!=null,b=a.shouldExecuteOnCPU([s]);let w=s;if(y){if(b){const E=a.texData.get(w.dataId),D=E.values,F=new Array(c);for(let $ =0; $ <F.length; $ ++)F[ $ ]=s.shape[m[ $ ]];const _=D0(D,s.shape,s.dtype,m,F);w=a.makeTensorInfo(F,s.dtype);const B=a.texData.get(w.dataId);B.values=_}else w=AC(s,m,a);d=ws(d.length,c)}ts("max",d,c);const[L,T]=Rn(w.shape,d);let A=L;o&&(A=On(L,h));let N;if(b){const E=a.texData.get(w.dataId),D=E.values,F=fK(D,we(T),A,s.dtype);N=a.makeTensorInfo(A,s.dtype);const _=a.texData.get(N.dataId);_.values=F}else N=kX(w,T,A,a);return y&&a.disposeIntermediateTensorInfo(w),N}};function UX(e){const{inputs:t,backend:n,attrs:s}=e,{x:i}=t;ou(i,"maxPool");const{filterSize:o,strides:a,pad:c,dimRoundingMode:h}=s,d=1;k(rn(a,d),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { a } and dilations '${d}' ` );const m=Fn(i.shape,o,a,d,c,h);if(m.filterWidth===1&&m.filterHeight===1&&ot(m.inShape,m.outShape))return kS({inputs:{x:i},backend:n});const y=new cu(m,"max",!1);return n.runWebGLProgram(y,[i],i.dtype)}const BX={kernelName:Tl,backendName:"webgl",kernelFunc:UX};function MX(e){const{inputs:t,backend:n,attrs:s}=e,{dy:i,input:o,output:a}=t,c=o;ou([o,a],"maxPoolBackprop");const{filterSize:h,strides:d,pad:m,dimRoundingMode:y}=s,b=Fn(c.shape,h,d,1,m,y),w=!0,L=new cu(b,"max",w),T=n.runWebGLProgram(L,[c],c.dtype),A=new F8(b),N=n.runWebGLProgram(A,[i,T],c.dtype);return n.disposeIntermediateTensorInfo(T),N}const PX={kernelName:Qu,backendName:"webgl",kernelFunc:MX};function zX(e,t,n,s){let i=new cu(n,"max",!1);const o=s.runWebGLProgram(i,[e],"float32");i=new cu(n,"max",!0,!0,t);const a=s.runWebGLProgram(i,[e],"float32");return[o,a]}const GX={kernelName:ed,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{x:s}=e,{filterSize:i,strides:o,pad:a,includeBatchInIndex:c}=t,h=n;k(s.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { s . shape . length } . ` );const d=[1,1];k(rn(o,d),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { o } and dilations '${d}' ` );const m=Fn(s.shape,i,o,d,a),[y,b]=zX(s,c,m,h);return[y,b]}};const VX={kernelName:iy,backendName:"webgl",kernelFunc:({inputs:e,backend:t,attrs:n})=>{qa("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{boxes:s,scores:i}=e,{maxOutputSize:o,iouThreshold:a,scoreThreshold:c}=n,h=t,d=h.readSync(s.dataId),m=h.readSync(i.dataId),y=o,b=a,w=c;return up(d,m,y,b,w)}};const YX=dp,HX={kernelName:nd,backendName:"webgl",kernelFunc:({inputs:e,backend:t,attrs:n})=>{qa("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{boxes:s,scores:i}=e,{maxOutputSize:o,iouThreshold:a,scoreThreshold:c,padToMaxOutputSize:h}=n,d=t,m=d.readSync(s.dataId),y=d.readSync(i.dataId),{selectedIndices:b,validOutputs:w}=YX(m,y,o,a,c,h);return[b,w]}};const qX=pp,jX={kernelName:sd,backendName:"webgl",kernelFunc:({inputs:e,backend:t,attrs:n})=>{qa("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");const{boxes:s,scores:i}=e,{maxOutputSize:o,iouThreshold:a,scoreThreshold:c,softNmsSigma:h}=n,d=t,m=d.readSync(s.dataId),y=d.readSync(i.dataId),b=o,w=a,L=c,T=h,{selectedIndices:A,selectedScores:N}=qX(m,y,b,w,L,T);return[A,N]}};class KX{constructor(e,t,n,s){this.variableNames=["Image"],this.outputShape=[];const i=e[1],o=e[2],a=Math.sin(t).toFixed(3),c=Math.cos(t).toFixed(3);this.outputShape=e;const[h,d]=nw(s,i,o),m=h.toFixed(3),y=d.toFixed(3);let b="";typeof n=="number"?b= ` float outputValue = $ { n . toFixed ( 2 ) } ; ` :b= `
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vec3 fill = vec3 ( $ { n . join ( "," ) } ) ;
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float outputValue = fill [ coords [ 3 ] ] ; ` ,this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int y = coords [ 1 ] ;
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float coordXFloat = ( float ( x ) - $ { m } ) * $ { c } - ( float ( y ) - $ { y } ) * $ { a } ;
float coordYFloat = ( float ( x ) - $ { m } ) * $ { a } + ( float ( y ) - $ { y } ) * $ { c } ;
int coordX = int ( round ( coordXFloat + $ { m } ) ) ;
int coordY = int ( round ( coordYFloat + $ { y } ) ) ;
$ { b }
if ( coordX >= 0 && coordX < $ { o } && coordY >= 0 && coordY < $ { i } ) {
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outputValue = getImage ( coords [ 0 ] , coordY , coordX , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
}
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` }}const XX={kernelName:hd,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{image:s}=e,{radians:i,fillValue:o,center:a}=t,c=n,h=new KX(s.shape,i,o,a),d=c.runWebGLProgram(h,[s],s.dtype);return d}};const JX=TC+ `
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return sin ( x ) ;
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` ,ZX=ym(JX),QX={kernelName:La,backendName:"webgl",kernelFunc:ZX};const e7="return x * x;",t7=ym(e7),n7={kernelName:ad,backendName:"webgl",kernelFunc:t7};const vC="return (a - b) * (a - b);",s7=DS(vC,vC),i7={kernelName:Sa,backendName:"webgl",kernelFunc:s7};const r7="return tan(x);",o7=ym(r7),a7={kernelName:Ia,backendName:"webgl",kernelFunc:o7};const c7={kernelName:Ul,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{const{x:s}=e,{perm:i}=t,o=n,a=s.shape.length,c=new Array(a);for(let d=0;d<c.length;d++)c[d]=s.shape[i[d]];let h;if(o.shouldExecuteOnCPU([s])){const d=o.texData.get(s.dataId),m=d.values,y=D0(m,s.shape,s.dtype,i,c);h=o.makeTensorInfo(c,s.dtype);const b=o.texData.get(h.dataId);b.values=y}else h=AC(s,i,o);return h}};function l7(e){const{inputs:t,attrs:n,backend:s}=e,{axis:i}=n,{x:o}=t;ou(o,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");const a=s.readSync(o.dataId),{outputValues:c,outputShape:h,indices:d}=LK(a,i,o.shape,o.dtype);return[s.makeTensorInfo(h,o.dtype,c),s.makeTensorInfo([d.length],"int32",d)]}const h7={kernelName:cd,backendName:"webgl",kernelFunc:l7};const u7=[oX,lX,uX,fX,bX,IX,TX,NX,aX, $ X,BX,PX,GX,VX,HX,jX,DX,XX,QX,n7,i7,a7,c7,h7];for(const e of u7)dd(e);const d7="2.6.0";const p7={"tfjs-core":OT,"tfjs-backend-cpu":Iq,"tfjs-backend-webgl":Q6,"tfjs-data":o0,"tfjs-layers":zp,"tfjs-converter":UN,tfjs:d7};r.Abs=ge,r.Acos=fe,r.Acosh=Ae,r.AdadeltaOptimizer=wh,r.AdagradOptimizer=Lh,r.AdamOptimizer=Sh,r.AdamaxOptimizer=Ih,r.Add=Te,r.AddN=Ve,r.All=rt,r.Any=Ct,r.ArgMax=Ut,r.ArgMin=Kt,r.Asin=Dn,r.Asinh=An,r.Atan=vn,r.Atan2=Si,r.Atanh=Zs,r.AvgPool=Qs,r.AvgPool3D=ol,r.AvgPool3DBackprop=ax,r.AvgPoolBackprop=ya,r.BatchMatMul=_g,r.BatchToSpaceND=Wg,r.BroadcastTo= $ g,r.Callback=xN,r.CallbackList=yv,r.Cast=al,r.Ceil=cl,r.ClipByValue=ll,r.Complex=Ug,r.Concat=qu,r.Conv2D=Bg,r.Conv2DBackpropFilter=cx,r.Conv2DBackpropInput=Mg,r.Conv3D=Pg,r.Conv3DBackpropFilterV2=lx,r.Conv3DBackpropInputV2=hx,r.Cos=ba,r.Cosh=hl,r.CropAndResize=ux,r.Cumsum=zg,r.CustomCallback=wv,r.DataStorage=p,r.DepthToSpace=dx,r.DepthwiseConv2dNative=Gg,r.DepthwiseConv2dNativeBackpropFilter=px,r.DepthwiseConv2dNativeBackpropInput=mx,r.Diag=fx,r.Dilation2D=ju,r.Dilation2DBackpropFilter=Xu,r.Dilation2DBackpropInput=Ku,r.Div=wa,r.EarlyStopping=AN,r.Elu=ul,r.EluGrad=gx,r.Environment=S,r.Equal=yx,r.Erf=dl,r.Exp=pl,r.Expm1=ml,r.FFT=Vg,r.Fill=bx,r.FlipLeftRight=Ju,r.Floor=fl,r.FloorDiv=Yg,r.FromPixels=ld,r.FusedBatchNorm=gl,r.FusedConv2D=Ty,r.FusedDepthwiseConv2D=Ay,r.GatherNd=wx,r.GatherV2=Hg,r.GraphModel= $ N,r.Greater=Lx,r.GreaterEqual=qg,r.History=bv,r.IFFT=jg,r.Identity=yl,r.Imag=Kg,r.InputSpec=mn,r.IsFinite=bl,r.IsInf=wl,r.IsNan=Ll,r.KernelBackend=g,r.LRN=Jg,r.LRNBackprop=vx,r.LayerVariable=ai,r.LayersModel=ir,r.Less=Sx,r.LessEqual=Ix,r.LinSpace=xx,r.Log=Sl,r.Log1p=Il,r.LogSoftmax=Xg,r.LogicalAnd=Tx,r.LogicalNot=Zu,r.LogicalOr=Ax,r.Max=xl,r.MaxPool=Tl,r.MaxPool3D=Qg,r.MaxPool3DBackprop=Nx,r.MaxPoolBackprop=Qu,r.MaxPoolWithArgmax=ed,r.Maximum=Zg,r.Mean=YD,r.Min=ey,r.Minimum=ty,r.Mod=ny,r.MomentumOptimizer=xh,r.Multiply=Al,r.Negate=sy,r.NonMaxSuppressionV3=iy,r.NonMaxSuppressionV4=nd,r.NonMaxSuppressionV5=sd,r.NotEqual=td,r.OP_SCOPE_SUFFIX=tT,r.OneHot=oy,r.OnesLike=ry,r.Optimizer=Qi,r.PadV2=id,r.Pool=HD,r.Pow=ay,r.Prelu=cy,r.Prod=Cx,r.RMSPropOptimizer=Th,r.RNN=_i,r.Range=Rx,r.Real=ly,r.Reciprocal=vl,r.Relu=hy,r.Relu6=py,r.Reshape=Nl,r.ResizeBilinear=dy,r.ResizeBilinearGrad=Ex,r.ResizeNearestNeighbor=uy,r.ResizeNearestNeighborGrad=Ox,r.Reverse=my,r.RotateWithOffset=hd,r.Round=Cl,r.Rsqrt=Rl,r.SGDOptimizer=Ha,r.ScatterNd=Dx,r.SelectV2=fy,r.Selu=Ol,r.Sequential=ec,r.Sigmoid=kl,r.Sign=Dl,r.Sin=La,r.Sinh=El,r.Slice=rd,r.Softmax=by,r.Softplus=Fl,r.SpaceToBatchND=od,r.SparseToDense=kx,r.SplitV=yy,r.Sqrt=_l,r.Square=ad,r.SquaredDifference=Sa,r.Step=Bl,r.StridedSlice=Fx,r.Sub=Wl,r.Sum=gy,r.SymbolicTensor=ci,r.Tan=Ia,r.Tanh= $ l,r.Tensor=Q,r.TensorBuffer=vr,r.Tile=wy,r.TopK=_x,r.Transpose=Ul,r.Unique=cd,r.Unpack=Ly,r.UnsortedSegmentSum=Sy,r.Variable=Hl,r.ZerosLike=Iy,r._FusedMatMul=xy,r.abs=sn,r.acos=ub,r.acosh=d
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` )),x.join( `
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` )}function Y7(r,l,u,p){const g=qt(l),f=p[p.length-1],I=new Array(f).fill(0),S=l.length,x=u==="complex64"?vu(r):r;if(S>1)for(let v=0;v<g/f;v++){const O=v*f;for(let C=0;C<f;C++)I[C]=Math.max(I[C],Au(x[O+C],0,u).length)}return I}function Au(r,l,u){let p;return Array.isArray(r)?p= ` $ { parseFloat ( r [ 0 ] . toFixed ( uI ) ) } + $ { parseFloat ( r [ 1 ] . toFixed ( uI ) ) } j ` :Su(r)?p= ` '${r}' ` :u==="bool"?p=cO(r):p=parseFloat(r.toFixed(uI)).toString(), $ c(p,l)}function cO(r){return r===0?"false":"true"}function tg(r,l,u,p,g,f=!0){const I=u==="complex64"?2:1,S=l[0],x=l.length;if(x===0){if(u==="complex64"){const te=vu(r);return[Au(te[0],0,u)]}return u==="bool"?[cO(r[0])]:[r[0].toString()]}if(x===1){if(S>oO){const oe=Tu*I;let ge=Array.from(r.slice(0,oe)),fe=Array.from(r.slice((S-Tu)*I,S*I));return u==="complex64"&&(ge=vu(ge),fe=vu(fe)),["["+ge.map((Ae,Te)=>Au(Ae,g[Te],u)).join(", ")+", ..., "+fe.map((Ae,Te)=>Au(Ae,g[S-Tu+Te],u)).join(", ")+"]"]}const te=u==="complex64"?vu(r):Array.from(r);return["["+te.map((oe,ge)=>Au(oe,g[ge],u)).join(", ")+"]"]}const v=l.slice(1),O=p.slice(1),C=p[0]*I,U=[];if(S>oO){for(let te=0;te<Tu;te++){const oe=te*C,ge=oe+C;U.push(...tg(r.slice(oe,ge),v,u,O,g,!1))}U.push("...");for(let te=S-Tu;te<S;te++){const oe=te*C,ge=oe+C;U.push(...tg(r.slice(oe,ge),v,u,O,g,te===S-1))}}else for(let te=0;te<S;te++){const oe=te*C,ge=oe+C;U.push(...tg(r.slice(oe,ge),v,u,O,g,te===S-1))}const G=x===2?",":"";U[0]="["+U[0]+G;for(let te=1;te<U.length-1;te++)U[te]=" "+U[te]+G;let ne= ` ,
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` ;for(let te=2;te<x;te++)ne+= `
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` ;return U[U.length-1]=" "+U[U.length-1]+"]"+(f?"":ne),U}function vu(r){const l=[];for(let u=0;u<r.length;u+=2)l.push([r[u],r[u+1]]);return l}class lO{constructor(r,l,u){if(this.dtype=l,this.shape=r.slice(),this.size=qt(r),u!=null){const p=u.length;Z(p===this.size,()=> ` Length of values '${p}' does not match the size inferred by the shape '${this.size}' . ` )}if(l==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=u||JR(l,this.size),this.strides=xu(r)}set(r,...l){l.length===0&&(l=[0]),Z(l.length===this.rank,()=> ` The number of provided coordinates ( $ { l . length } ) must match the rank ( $ { this . rank } ) ` );const u=this.locToIndex(l);this.values[u]=r}get(...r){r.length===0&&(r=[0]);let l=0;for(const p of r){if(p<0||p>=this.shape[l]){const g= ` Requested out of range element at $ { r } . Buffer shape = $ { this . shape } ` ;throw new Error(g)}l++}let u=r[r.length-1];for(let p=0;p<r.length-1;++p)u+=this.strides[p]*r[p];return this.values[u]}locToIndex(r){if(this.rank===0)return 0;if(this.rank===1)return r[0];let l=r[r.length-1];for(let u=0;u<r.length-1;++u)l+=this.strides[u]*r[u];return l}indexToLoc(r){if(this.rank===0)return[];if(this.rank===1)return[r];const l=new Array(this.shape.length);for(let u=0;u<l.length-1;++u)l[u]=Math.floor(r/this.strides[u]),r-=l[u]*this.strides[u];return l[l.length-1]=r,l}get rank(){return this.shape.length}toTensor(){return zi().makeTensor(this.values,this.shape,this.dtype)}}let zi=null,Uc=null,H7=null;function hO(r){zi=r}function uO(r){Uc=r}function dO(r){H7=r}class xn{constructor(r,l,u,p){this.kept=!1,this.isDisposedInternal=!1,this.shape=r.slice(),this.dtype=l||"float32",this.size=qt(r),this.strides=xu(r),this.dataId=u,this.id=p,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){const r=await this.data();return Uc.buffer(this.shape,this.dtype,r)}bufferSync(){return Uc.buffer(this.shape,this.dtype,this.dataSync())}async array(){const r=await this.data();return cI(this.shape,r)}arraySync(){return cI(this.shape,this.dataSync())}async data(){this.throwIfDisposed();const r=zi().read(this.dataId);if(this.dtype==="string"){const l=await r;try{return l.map(u=>hI(u))}catch(u){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return r}dataSync(){this.throwIfDisposed();const r=zi().readSync(this.dataId);if(this.dtype==="string")try{return r.map(l=>hI(l))}catch(l){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return r}async bytes(){this.throwIfDisposed();const r=await zi().read(this.dataId);return this.dtype==="string"?r:new Uint8Array(r.buffer)}dispose(){if(this.isDisposed)return;zi().disposeTensor(this),this.isDisposedInternal=!0}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(r=!1){return Uc.print(this,r)}clone(){return this.throwIfDisposed(),Uc.clone(this)}toString(r=!1){const l=this.dataSync();return aO(l,this.shape,this.dtype,r)}cast(r){return this.throwIfDisposed(),Uc.cast(this,r)}variable(r=!0,l,u){return this.throwIfDisposed(),zi().makeVariable(this,r,l,u)}}Object.defineProperty(xn,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});class ng extends xn{constructor(r,l,u,p){super(r.shape,r.dtype,r.dataId,p);this.trainable=l,this.name=u}assign(r){if(r.dtype!==this.dtype)throw new Error( ` dtype of the new value ( $ { r . dtype } ) and previous value ( $ { this . dtype } ) must match ` );if(!ra(r.shape,this.shape))throw new Error( ` shape of the new value ( $ { r . shape } ) and previous value ( $ { this . shape } ) must match ` );zi().disposeTensor(this),this.dataId=r.dataId,zi().incRef(this,null)}dispose(){zi().disposeVariable(this),this.isDisposedInternal=!0}}Object.defineProperty(ng,Symbol.hasInstance,{value:r=>r instanceof xn&&r.assign!=null&&r.assign instanceof Function});var pO;(function(r){r.R0="R0",
2020-10-26 01:17:15 +01:00
with dtype $ { I . dtype } . ` )});const p=(I,S)=>{const x=ut(l,u[0].shape)[0],v=NO(u.map(U=>U.shape),x);if(qt(v)===0)return yI([],v);if(u=u.filter(U=>U.size>0),u.length===1)return u[0];const O=u.map(U=>U.shape);vO(O,x);const C=I.concat(u,x);return S(u),C},g=u,f={axis:l};return Y.runKernelFunc(p,g,null,rf,f)}const yn=z({concat_:wJ});function LJ(r){const l=M(r,"x","sigmoid"),u={x:l};return Y.runKernelFunc((p,g)=>{const f=p.sigmoid(l);return g([f]),f},u,null,Uf)}const xI=z({sigmoid_:LJ});function SJ(r,l,u){const p=M(r,"x","slice");if(p.rank===0)throw new Error("Slicing scalar is not possible");const g=(S,x)=>{const[v,O]=rg(p,l,u);return SO(p,v,O),x([p]),S.slice(p,v,O)},f={x:p},I={begin:l,size:u};return Y.runKernelFunc(g,f,null,_f,I)}const vt=z({slice_:SJ});function IJ(r,l,u){const p=M(r,"x","batchToSpaceND"),g=l.reduce((x,v)=>x*v);Z(p.rank>=1+l.length,()=> ` input rank is $ { p . rank } but should be > than blockShape . length $ { l . length } ` ),Z(u.length===l.length,()=> ` crops . length is $ { u . length } but should be equal to blockShape . length $ { l . length } ` ),Z(p.shape[0]%g===0,()=> ` input tensor batch is $ { p . shape [ 0 ] } but is not divisible by the product of the elements of blockShape $ { l . join ( " * " ) } === $ { g } ` );const f=x=>x.batchToSpaceND(p,l,u),I={x:p},S={blockShape:l,crops:u};return Y.runKernelFunc(f,I,null,nf,S)}const TI=z({batchToSpaceND_:IJ});function xJ(r,l){let u=M(r,"broadcastTo","x");const p=u.shape;if(l.some(O=>!(O>0)||O%1!==0))throw new Error( ` broadcastTo ( ) : Invalid broadcast shape [ $ { l } ] . ` );if(l.length<u.rank)throw new Error( ` broadcastTo ( ) : shape . length = $ { l . length } < input . rank = $ { u . rank } . ` );if(l.length>u.rank){const O=u.shape.slice();for(;O.length<l.length;)O.unshift(1);u=ie(u,O)}const g=u.shape,f=Array.from(l);for(let O=l.length-1;O>=0;O--)if(g[O]===l[O])f[O]=1;else if(u.shape[O]!==1)throw new Error( ` broadcastTo ( ) : [ $ { p } ] cannot be broadcast to [ $ { l } ] . ` );const I=f.map((O,C)=>O>1?C:-1).filter(O=>O>=0);if(I.length===0)return gi(u);const S=O=>O.tile(u,f),x={x:u},v={shape:l,inputShape:g};return Y.runKernelFunc(S,x,null,sf,v)}const lg=z({broadcastTo_:xJ});function TJ(r,l,u,p,g="NHWC",f=[1,1],I){const S=M(r,"x","conv2d"),x=M(l,"filter","conv2d");let v=S,O=!1;S.rank===3&&(O=!0,v=ie(S,[1,S.shape[0],S.shape[1],S.shape[2]])),Z(v.rank===4,()=> ` Error in conv2d : input must be rank 4 , but got rank $ { v . rank } . ` ),Z(x.rank===4,()=> ` Error in conv2d : filter must be rank 4 , but got rank $ { x . rank } . ` ),I!=null&&Z(Qt(p),()=> ` Error in conv2d : pad must be an integer when using , dimRoundingMode $ { I } but got pad $ { p } . ` );const C=g==="NHWC"?v.shape[3]:v.shape[1];Z(C===x.shape[2],()=> ` Error in conv2d : depth of input ( $ { C } ) must match input depth for filter $ { x . shape [ 2 ] } . ` ),Z(ao(u,f),()=> ` Error in conv2D : Either strides or dilations must be 1. Got strides $ { u } and dilations '${f}' ` );const U=(oe,ge)=>{const fe=zc(g),Ae=fr(v.shape,x.shape,u,f,p,I,!1,fe),Te=oe.conv2d(v,x,Ae);return ge([v,x]),Te},G={x:v,filter:x},ne={strides:u,pad:p,dataFormat:g,dilations:f,dimRoundingMode:I},te=Y.runKernelFunc(U,G,null,of,ne);return O?ie(te,[te.shape[1],te.shape[2],te.shape[3]]):te}const AI=z({conv2d_:TJ});function AJ(r,l,u,p,g,f="NHWC",I){Z(r.length===l.rank,()=> ` Length of inShape ( $ { r . length } ) and rank of dy ( $ { l . rank } ) must match ` );let S=r,x=l,v=!1;l.rank===3&&(v=!0,x=ie(l,[1,l.shape[0],l.shape[1],l.shape[2]]),S=[1,r[0],r[1],r[2]]),Z(S.length===4,()=> ` Error in conv2dDerInput : inShape must be length 4 , but got length $ { S . length } . ` ),Z(x.rank===4,()=> ` Error in conv2dDerInput : dy must be rank 4 , but got rank $ { x . rank } ` ),Z(u.rank===4,()=> ` Error in conv2dDerInput : filter must be rank 4 , but got rank $ { u . rank } ` );const O=f==="NHWC"?S[3]:S[1],C=f==="NHWC"?x.shape[3]:x.shape[1];Z(O===u.shape[2],()=> ` Error in conv2dDerInput : depth of input ( $ { O } ) must match input depth for filter $ { u . shape [ 2 ] } . ` ),Z(C===u.shape[3],()=> ` Error in conv2dDerInput : depth of output ( $ { C } ) must match output depth for filter $ { u . shape [ 3 ] } . ` ),I!=null&&Z(Qt(g),()=> ` Error in conv2dDerInput : pad must be an integer when using , dimRoundingMode $ { I } but got pad $ { g } . ` );const U=(oe,ge)=>{const fe=1,Ae=zc(f),Te=fr(S,u.s
2020-10-11 18:41:17 +02:00
/ * *
* @ license
* Copyright 2017 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2018 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
*
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2019 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google Inc . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the License ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an AS IS BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/** @license See the LICENSE file. */
//# sourceMappingURL=face-api.js.map