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/ *
2020-12-02 22:46:41 +01:00
Face - API
homepage : < https : //github.com/vladmandic/face-api>
author : < https : //github.com/vladmandic>'
2021-09-08 19:51:28 +02:00
* /
2020-12-02 22:46:41 +01:00
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( r >>>= 0 , ( o = 0 <= r && r < 256 ) && ( n = S1 [ r ] , n ) ? n : ( e = je ( r , ( r | 0 ) < 0 ? - 1 : 0 , ! 0 ) , o && ( S1 [ r ] = e ) , e ) ) : ( r |= 0 , ( o = - 128 <= r && r < 128 ) && ( n = I1 [ r ] , n ) ? n : ( e = je ( r , r < 0 ? - 1 : 0 , ! 1 ) , o && ( I1 [ r ] = e ) , e ) ) } Ke . fromInt = Wu ; function po ( r , t ) { if ( isNaN ( r ) ) return t ? Gu : mo ; if ( t ) { if ( r < 0 ) return Gu ; if ( r >= _1 ) return $1 } else { if ( r <= - k1 ) return Rn ; if ( r + 1 >= k1 ) return A1 } return r < 0 ? po ( - r , t ) . neg ( ) : je ( r % Zp | 0 , r / Zp | 0 , t ) } Ke . fromNumber = po ; function je ( r , t , e ) { return new Ke ( r , t , e ) } Ke . fromBits = je ; var Yg = Math . pow ; function x0 ( r , t , e ) { if ( r . length === 0 ) throw Error ( "empty string" ) ; if ( r === "NaN" || r === "Infinity" || r === "+Infinity" || r === "-Infinity" ) return mo ; if ( typeof t == "number" ? ( e = t , t = ! 1 ) : t = ! ! t , e = e || 10 , e < 2 || 36 < e ) throw RangeError ( "radix" ) ; var n ; if ( ( n = r . indexOf ( "-" ) ) > 0 ) throw Error ( "interior hyphen" ) ; if ( n === 0 ) return x0 ( r . substring ( 1 ) , t , e ) . neg ( ) ; for ( var o = po ( Yg ( e , 8 ) ) , s = mo , i = 0 ; i < r . length ; i += 8 ) { var a = Math . min ( 8 , r . length - i ) , u = parseInt ( r . substring ( i , i + a ) , e ) ; if ( a < 8 ) { var l = po ( Yg ( e , a ) ) ; s = s . mul ( l ) . add ( po ( u ) ) } else s = s . mul ( o ) , s = s . add ( po ( u ) ) } return s . unsigned = t , s } Ke . fromString = x0 ; function Gs ( r , t ) { return typeof r == "number" ? po ( r , t ) : typeof r == "string" ? x0 ( r , t ) : je ( r . low , r . high , typeof t == "boolean" ? t : r . unsigned ) } Ke . fromValue = Gs ; var N1 = 1 << 16 , u4 = 1 << 24 , Zp = N1 * N1 , _1 = Zp * Zp , k1 = _1 / 2 , T1 = Wu ( u4 ) , mo = Wu ( 0 ) ; Ke . ZERO = mo ; var Gu = Wu ( 0 , ! 0 ) ; Ke . UZERO = Gu ; var Yp = Wu ( 1 ) ; Ke . ONE = Yp ; var E1 = Wu ( 1 , ! 0 ) ; Ke . UONE = E1 ; var g0 = Wu ( - 1 ) ; Ke . NEG _ONE = g0 ; var A1 = je ( - 1 , 2147483647 , ! 1 ) ; Ke . MAX _VALUE = A1 ; var $1 = je ( - 1 , - 1 , ! 0 ) ; Ke . MAX _UNSIGNED _VALUE = $1 ; var Rn = je ( 0 , - 2147483648 , ! 1 ) ; Ke . MIN _VALUE = Rn ; var yt = Ke . prototype ; yt . toInt = function ( ) { return this . unsigned ? this . low >>> 0 : this . low } ; yt . toNumber = function ( ) { return this . unsigned ? ( this . high >>> 0 ) * Zp + ( this . low >>> 0 ) : this . high * Zp + ( this . low >>> 0 ) } ; yt . toString = function ( t ) { if ( t = t || 10 , t < 2 || 36 < t ) throw RangeError ( "radix" ) ; if ( this . isZero ( ) ) return "0" ; if ( this . isNegative ( ) ) if ( this . eq ( Rn ) ) { var e = po ( t ) , n = this . div ( e ) , o = n . mul ( e ) . sub ( this ) ; return n . toString ( t ) + o . toInt ( ) . toString ( t ) } else return "-" + this . neg ( ) . toString ( t ) ; for ( var s = po ( Yg ( t , 6 ) , this . unsigned ) , i = this , a = "" ; ; ) { var u = i . div ( s ) , l = i . sub ( u . mul ( s ) ) . toInt ( ) >>> 0 , c = l . toString ( t ) ; if ( i = u , i . isZero ( ) ) return c + a ; for ( ; c . length < 6 ; ) c = "0" + c ; a = "" + c + a } } ; yt . getHighBits = function ( ) { return this . high } ; yt . getHighBitsUnsigned = function ( ) { return this . high >>> 0 } ; yt . getLowBits = function ( ) { return this . low } ; yt . getLowBi
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` ;for(let h=2;h<u;h++)d+= `
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` ;return m[m.length-1]=" "+m[m.length-1]+"]"+(s?"":d),m}function ah(r){let t=[];for(let e=0;e<r.length;e+=2)t.push([r[e],r[e+1]]);return t}var fe=class{constructor(t,e,n){if(this.dtype=e,this.shape=t.slice(),this.size=Qt(t),n!=null){let o=n.length;A(o===this.size,()=> ` Length of values '${o}' does not match the size inferred by the shape '${this.size}' . ` )}if(e==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=n||a0(e,this.size),this.strides=ui(t)}set(t,...e){e.length===0&&(e=[0]),A(e.length===this.rank,()=> ` The number of provided coordinates ( $ { e . length } ) must match the rank ( $ { this . rank } ) ` );let n=this.locToIndex(e);this.values[n]=t}get(...t){t.length===0&&(t=[0]);let e=0;for(let o of t){if(o<0||o>=this.shape[e]){let s= ` Requested out of range element at $ { t } . Buffer shape = $ { this . shape } ` ;throw new Error(s)}e++}let n=t[t.length-1];for(let o=0;o<t.length-1;++o)n+=this.strides[o]*t[o];return this.values[n]}locToIndex(t){if(this.rank===0)return 0;if(this.rank===1)return t[0];let e=t[t.length-1];for(let n=0;n<t.length-1;++n)e+=this.strides[n]*t[n];return e}indexToLoc(t){if(this.rank===0)return[];if(this.rank===1)return[t];let e=new Array(this.shape.length);for(let n=0;n<e.length-1;++n)e[n]=Math.floor(t/this.strides[n]),t-=e[n]*this.strides[n];return e[e.length-1]=t,e}get rank(){return this.shape.length}toTensor(){return Ws().makeTensor(this.values,this.shape,this.dtype)}},Ws=null,tm=null,w4=null;function G1(r){Ws=r}function W1(r){tm=r}function U1(r){w4=r}var Pt=class{constructor(t,e,n,o){this.kept=!1,this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=e||"float32",this.size=Qt(t),this.strides=ui(t),this.dataId=n,this.id=o,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){let t=await this.data();return tm.buffer(this.shape,this.dtype,t)}bufferSync(){return tm.buffer(this.shape,this.dtype,this.dataSync())}async array(){let t=await this.data();return zu(this.shape,t,this.dtype==="complex64")}arraySync(){return zu(this.shape,this.dataSync(),this.dtype==="complex64")}async data(){this.throwIfDisposed();let t=Ws().read(this.dataId);if(this.dtype==="string"){let e=await t;try{return e.map(n=>Qp(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return t}dataToGPU(t){return this.throwIfDisposed(),Ws().readToGPU(this.dataId,t)}dataSync(){this.throwIfDisposed();let t=Ws().readSync(this.dataId);if(this.dtype==="string")try{return t.map(e=>Qp(e))}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t}async bytes(){this.throwIfDisposed();let t=await Ws().read(this.dataId);return this.dtype==="string"?t:new Uint8Array(t.buffer)}dispose(){this.isDisposed||(Ws().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(t=!1){return tm.print(this,t)}clone(){return this.throwIfDisposed(),tm.clone(this)}toString(t=!1){let e=this.dataSync();return B1(e,this.shape,this.dtype,t)}cast(t){return this.throwIfDisposed(),tm.cast(this,t)}variable(t=!0,e,n){return this.throwIfDisposed(),Ws().makeVariable(this,t,e,n)}};Object.defineProperty(Pt,Symbol.hasInstance,{value:r=>!!r&&r.data!=null&&r.dataSync!=null&&r.throwIfDisposed!=null});function P(){return Jd("Tensor",()=>Pt)}P();var Ua=class extends Pt{constructor(t,e,n,o){super(t.shape,t.dtype,t.dataId,o),this.trainable=e,this.name=n}assign(t){if(t.dtype!==this.dtype)throw new Error( ` dtype of the new value ( $ { t . dtype } ) and previous value ( $ { this . dtype } ) must match ` );if(!Fn(t.shape,this.shape))throw new Error( ` shape of the new value ( $ { t . shape } ) and previous value ( $ { this . shape } ) must match ` );Ws().disposeTensor(this),this.dataId=t.dataId,Ws().incRef(this,null)}dispose(){Ws().disposeVariable(this),this.isDisposedInternal=!0}};Obje
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Actual : $ { o } .
Expected : $ { s } . ` );for(let i=0;i<s.length;++i){let a=o[i],u=s[i];if(!e(a,u))throw new Error( ` Arrays differ : actual [ $ { i } ] = $ { a } , expected [ $ { i } ] = $ { u } .
Actual : $ { o } .
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Expected : $ { s } . ` )}}function _H(r,t){r().then(()=>t.fail(),()=>t())}function EH(r,t){let e=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return qo(r)||qo(r[0])||qo(t)||qo(t[0])?Z0(r,e,(n,o)=>n==o):Z0(r,t,(n,o)=>J0(n,o,0))}function B_(r,t,e){if(e==null&&(e=hx()),!J0(r,t,e))throw new Error( ` Numbers differ : actual === $ { r } , expected === $ { t } ` )}function J0(r,t,e){return!isFinite(r)&&!isFinite(t)?!0:!(isNaN(r)||isNaN(t)||Math.abs(r-t)>e)}function AH(r,t,e){for(let n=0;n<r.length;n++)if(r[n]<t||r[n]>e)throw new Error( ` Value out of range : $ { r [ n ] } low : $ { t } , high : $ { e } ` )}function $ H(r,t){let e=new Float32Array(r),n=new Float32Array(t);if(e.length!==n.length)throw new Error( ` Expected ArrayBuffer to be of length $ { n . length } , but it was $ { e . length } ` );for(let o=0;o<n.length;o++)if(e[o]!==n[o])throw new Error( ` Expected ArrayBuffer value at $ { o } to be $ { n [ o ] } but got $ { e [ o ] } instead ` )}function V_(r){for(let t=0;t<r.length;t++){let e=r[t];Array.isArray(e)?V_(e):r[t]=Bl(e)}return r}var W_="3.19.0";function DH(r,t){let e=I(r,"a","add"),n=I(t,"b","add");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(jn,o)}var Z=k({add_:DH});function FH(r,t){let e=I(r,"a","floorDiv"),n=I(t,"b","floorDiv");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(ls,o)}var im=k({floorDiv_:FH});function RH(r,t){let e=I(r,"a","div"),n=I(t,"b","div");if([e,n]=Xt(e,n),e.dtype==="int32"&&n.dtype==="int32")return im(e,n);let o={a:e,b:n},s={};return _.runKernel(os,o,s)}var ct=k({div_:RH});function OH(r,t){let e=I(r,"a","mul"),n=I(t,"b","mul");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(ws,o)}var O=k({mul_:OH});function LH(r){let t=I(r,"x","abs");if(t.dtype==="complex64"){let e={x:t};return _.runKernel(Sl,e)}else{let e={x:t};return _.runKernel(ci,e)}}var Ae=k({abs_:LH});function PH(r){let e={x:I(r,"x","acos")};return _.runKernel(ea,e)}var gx=k({acos_:PH});function MH(r){let e={x:I(r,"x","acosh")};return _.runKernel(ra,e)}var xx=k({acosh_:MH});function zH(r){A(Array.isArray(r),()=>"The argument passed to tf.addN() must be a list of tensors"),A(r.length>=1,()=> ` Must pass at least one tensor to tf . addN ( ) , but got $ { r . length } ` );let t=r.map((o,s)=>I(o, ` tensors$ { s } ` ,"addN")),e=t[0];t.forEach(o=>{if(o.dtype!==e.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(o=>{if(!Fn(o.shape,e.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let n=t;return _.runKernel(Ko,n)}var U_=k({addN_:zH});function BH(r,t=null,e=!1){let o={x:I(r,"x","all","bool")},s={axis:t,keepDims:e};return _.runKernel(na,o,s)}var am=k({all_:BH});function VH(r,t=null,e=!1){let o={x:I(r,"x","any","bool")},s={axis:t,keepDims:e};return _.runKernel(oa,o,s)}var Yu=k({any_:VH});function GH(r,t=0){let n={x:I(r,"x","argMax")},o={axis:t};return _.runKernel(jo,n,o)}var Ri=k({argMax_:GH});function WH(r,t=0){let n={x:I(r,"x","argMin")},o={axis:t};return _.runKernel(Cl,n,o)}var yx=k({argMin_:WH});function UH(r){let e={x:I(r,"x","asin")};return _.runKernel(sa,e)}var bx=k({asin_:UH});function HH(r){let e={x:I(r,"x","asinh")};return _.runKernel(ia,e)}var wx=k({asinh_:HH});function qH(r){let e={x:I(r,"x","atan")};return _.runKernel(aa,e)}var vx=k({atan_:qH});function KH(r,t){let e=I(r,"a","atan2"),n=I(t,"b","atan2");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(ua,o)}var Cx=k({atan2_:KH});function jH(r){let e={x:I(r,"x","atanh")};return _.runKernel(la,e)}var Ix=k({atanh_:jH});function XH(r,t,e,n,o="NHWC",s){let i=r[3],a=[...t,i],u=q_(o);return Ju(r,a,e,s,n,null,null,u)}function tS(r,t,e,n,o,s,i="channelsLast"){let[a,u]=Sx(t),l;if(i==="channelsLast")l=[a,u,r[3],r[3]];else if(i==="channelsFirst")l=[a,u,r[1],r[1]];else throw new Error( ` Unknown dataFormat $ { i } ` );return Ju(r,l,e,n,o,s,!1,i)}function YH(r,t,e,n,o,s,i="NDHWC"){let[a,u,l]=Q0(t),c,p;if(i==="NDHWC")p="channelsLast",c=[a,u,l,r[4],r[4]];else if(i==="NCDHW")p="channelsFirst",c=[a,u,l,r[1],r[1]];else throw new Error( ` Unknown dataFormat $ { i } ` );return H_(r,c,e,n,o,!1,p,s)}function Ju(r,t,e,n,o,s,i=!1,a="channelsLast"){let[u,l,c,p]=[-1,-1,-1,-1];if(a==="channelsLast")[u,l,c,p]=r;
with dtype $ { s . dtype } . ` )}),e.length===1)return an(e[0]);let n=e,o={axis:t};return _.runKernel(mi,n,o)}var se=k({concat_:oq});function sq(r){let e={x:I(r,"x","sigmoid","float32")};return _.runKernel(Rs,e)}var Kr=k({sigmoid_:sq});function iq(r,t,e){let n=I(r,"x","slice","string_or_numeric");if(n.rank===0)throw new Error("Slicing scalar is not possible");let o={x:n},s={begin:t,size:e};return _.runKernel(wi,o,s)}var Ot=k({slice_:iq});function aq(r){let e={x:I(r,"x","tanh","float32")};return _.runKernel(Vs,e)}var Oi=k({tanh_:aq});function lq(r,t,e,n,o,s){let i=I(r,"forgetBias","basicLSTMCell"),a=I(t,"lstmKernel","basicLSTMCell"),u=I(e,"lstmBias","basicLSTMCell"),l=I(n,"data","basicLSTMCell"),c=I(o,"c","basicLSTMCell"),p=I(s,"h","basicLSTMCell"),m=se([l,p],1),f=Gt(m,a),d=Z(f,u),h=d.shape[0],g=d.shape[1]/4,y=[h,g],b=Ot(d,[0,0],y),w=Ot(d,[0,g],y),v=Ot(d,[0,g*2],y),N=Ot(d,[0,g*3],y),E=Z(O(Kr(b),Oi(w)),O(c,Kr(Z(i,v)))), $ =O(Oi(E),Kr(N));return[E, $ ]}var K_=k({basicLSTMCell_:lq});function uq(r,t,e){let n=I(r,"x","batchToSpaceND"),o=t.reduce((a,u)=>a*u);A(n.rank>=1+t.length,()=> ` input rank is $ { n . rank } but should be > than blockShape . length $ { t . length } ` ),A(e.length===t.length,()=> ` crops . length is $ { e . length } but should be equal to blockShape . length $ { t . length } ` ),A(n.shape[0]%o===0,()=> ` input tensor batch is $ { n . shape [ 0 ] } but is not divisible by the product of the elements of blockShape $ { t . join ( " * " ) } === $ { o } ` );let s={x:n},i={blockShape:t,crops:e};return _.runKernel(pi,s,i)}var ql=k({batchToSpaceND_:uq});function j_(r){let t;return r.rank===0||r.rank===1?t=R(r,[1,1,1,r.size]):r.rank===2?t=R(r,[1,1,r.shape[0],r.shape[1]]):r.rank===3?t=R(r,[1,r.shape[0],r.shape[1],r.shape[2]]):t=r,t}function cq(r,t,e,n,o,s){s==null&&(s=.001);let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;n!=null&&(c=I(n,"offset","batchNorm")),A(a.rank===u.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),A(c==null||a.rank===c.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),A(l==null||a.rank===l.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let m={x:j_(i),scale:l,offset:c,mean:a,variance:u},f={varianceEpsilon:s},d=_.runKernel(us,m,f);return R(d,i.shape)}var Li=k({batchNorm_:cq});function pq(r,t,e,n,o,s){let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;return n!=null&&(c=I(n,"offset","batchNorm")),A(i.rank===2,()=> ` Error in batchNorm2D : x must be rank 2 but got rank $ { i . rank } . ` ),A(a.rank===2||a.rank===1,()=> ` Error in batchNorm2D : mean must be rank 2 or rank 1 but got rank $ { a . rank } . ` ),A(u.rank===2||u.rank===1,()=> ` Error in batchNorm2D : variance must be rank 2 or rank 1 but got rank $ { u . rank } . ` ),l!=null&&A(l.rank===2||l.rank===1,()=> ` Error in batchNorm2D : scale must be rank 2 or rank 1 but got rank $ { l . rank } . ` ),c!=null&&A(c.rank===2||c.rank===1,()=> ` Error in batchNorm2D : offset must be rank 2 or rank 1 but got rank $ { c . rank } . ` ),Li(i,a,u,c,l,s)}var kx=k({batchNorm2d_:pq});function mq(r,t,e,n,o,s){let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm"));let c;return n!=null&&(c=I(n,"offset","batchNorm")),A(i.rank===3,()=> ` Error in batchNorm3D : x must be rank 3 but got rank $ { i . rank } . ` ),A(a.rank===3||a.rank===1,()=> ` Error in batchNorm3D : mean must be rank 3 or rank 1 but got rank $ { a . rank } . ` ),A(u.rank===3||u.rank===1,()=> ` Error in batchNorm3D : variance must be rank 3 or rank 1 but got rank $ { u . rank } . ` ),l!=null&&A(l.rank===3||l.rank===1,()=> ` Error in batchNorm3D : scale must be rank 3 or rank 1 but got rank $ { l . rank } . ` ),c!=null&&A(c.rank===3||c.rank===1,()=> ` Error in batchNorm3D : offset must be rank 3 or rank 1 but got rank $ { c . rank } . ` ),Li(i,a,u,c,l,s)}var Tx=k({batchNorm3d_:mq});function fq(r,t,e,n,o,s){let i=I(r,"x","batchNorm"),a=I(t,"mean","batchNorm"),u=I(e,"variance","batchNorm"),l;o!=null&&(l=I(o,"scale","batchNorm")
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$ { o } and $ { t } for depthToSpace with input shape
$ { n . shape } ` ),A(s*t>=0,()=> ` Negative dimension size caused by overflow when multiplying
$ { s } and $ { t } for depthToSpace with input shape
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$ { n . shape } ` ),A(i%(t*t)===0,()=> ` Dimension size must be evenly divisible by $ { t * t } but is $ { i } for depthToSpace with input shape $ { n . shape } ` );let a={x:n},u={blockSize:t,dataFormat:e};return _.runKernel(ma,a,u)}var Mx=k({depthToSpace_:Oq});function Lq(r,t,e,n,o="NHWC",s=[1,1],i){let a=I(r,"x","depthwiseConv2d","float32"),u=I(t,"filter","depthwiseConv2d","float32"),l=a,c=!1;a.rank===3&&(c=!0,l=R(a,[1,a.shape[0],a.shape[1],a.shape[2]])),A(l.rank===4,()=> ` Error in depthwiseConv2d : input must be rank 4 , but got rank $ { l . rank } . ` ),A(u.rank===4,()=> ` Error in depthwiseConv2d : filter must be rank 4 , but got rank $ { u . rank } . ` );let p=o==="NHWC"?l.shape[3]:l.shape[1];A(p===u.shape[2],()=> ` Error in depthwiseConv2d : number of input channels ( $ { p } ) must match the inChannels dimension in filter $ { u . shape [ 2 ] } . ` ),Se("depthwiseConv2d",n,i);let m={x:l,filter:u},f={strides:e,pad:n,dataFormat:o,dilations:s,dimRoundingMode:i},d=_.runKernel(ns,m,f);return c?R(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Pi=k({depthwiseConv2d_:Lq});function Pq(r){let e={x:I(r,"x","diag")};return _.runKernel( $ p,e)}var Z_=k({diag_:Pq});function Mq(r,t,e,n,o=[1,1],s="NHWC"){let i=I(r,"x","dilation2d"),a=I(t,"filter","dilation2d");A(i.rank===3||i.rank===4,()=> ` Error in dilation2d : input must be rank 3 or 4 , but got rank $ { i . rank } . ` ),A(a.rank===3,()=> ` Error in dilation2d : filter must be rank 3 , but got rank $ { a . rank } . ` ),A(s==="NHWC",()=> ` Error in dilation2d : Only NHWC is currently supported , but got dataFormat of $ { s } ` );let u=i,l=!1;i.rank===3&&(u=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=!0);let c={x:u,filter:a},p={strides:e,pad:n,dilations:o},m=_.runKernel(kl,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var zx=k({dilation2d_:Mq});function zq(r,t){let e=I(r,"a","equal","string_or_numeric"),n=I(t,"b","equal","string_or_numeric");[e,n]=Xt(e,n),zt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(da,o)}var Ar=k({equal_:zq});function Bq(r,t,e){let n=I(t,"a","where"),o=I(e,"b","where"),s=I(r,"condition","where","bool"),i=zt(zt(s.shape,n.shape),o.shape),a=Kl(s,i),u=Kl(n,i),l=Kl(o,i),c={condition:a,t:u,e:l};return _.runKernel(bi,c)}var $ e=k({where_:Bq});function Vq(r){let e={x:I(r,"x","zerosLike")};return _.runKernel(Si,e)}var St=k({zerosLike_:Vq});function Gq(r,t){let e=I(r,"a","div"),n=I(t,"b","div");[e,n]=Xt(e,n);let o=ct(e,n),s=St(o),i=Ar(n,s);return $ e(i,s,o)}var Bx=k({divNoNan_:Gq});function Wq(r,t){let e=I(r,"t1","dot"),n=I(t,"t2","dot");A((e.rank===1||e.rank===2)&&(n.rank===1||n.rank===2),()=> ` Error in dot : inputs must all be rank 1 or 2 , but got ranks $ { e . rank } and $ { n . rank } . ` );let o=e.rank===1?e.size:e.shape[1],s=n.rank===1?n.size:n.shape[0];if(A(o===s,()=> ` Error in dot : inner dimensions of inputs must match , but got $ { o } and $ { s } . ` ),e.rank===1&&n.rank===1){let i=R(e,[1,-1]),a=R(n,[-1,1]),u=Gt(i,a);return R(u,[])}else if(e.rank===1&&n.rank===2){let i=R(e,[1,-1]),a=R(n,[n.shape[0],n.shape[1]]),u=Gt(i,a);return R(u,[u.size])}else if(e.rank===2&&n.rank===1){let i=R(n,[-1,1]),a=Gt(e,i);return R(a,[a.size])}else{let i=R(n,[n.shape[0],n.shape[1]]);return Gt(e,i)}}var Vx=k({dot_:Wq});function Uq(r,...t){let e=t.map((o,s)=>I(o, ` tensors$ { s } ` ,"einsum")),n={equation:r};return _.runKernel(Dp,e,n)}var J_=k({einsum_:Uq});function Hq(r){let e={x:I(r,"x","elu","float32")};return _.runKernel(ss,e)}var Mi=k({elu_:Hq});function qq(r){let t=I(r,"x","erf");A(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be ` int32 ` or ` float32 ` ."),t.dtype==="int32"&&(t=tt(t,"float32"));let e={x:t};return _.runKernel(fa,e)}var Gx=k({erf_:qq});function rS(r,t){for(let e=0;e<r.length;++e)if(r[r.length-e-1]!==t-1-e)return!1;return!0}function Q_(r,t,e){let n=r.length+t.length,o=[],s=0,i=0;for(let a=0;a<n;a++)e.indexOf(a)===-1?o.push(r[s++]):o.push(t[i++]);return o}function nS(r,t){let e=[],n=r.length;for(let s=0;s<n;s++)t.indexOf(s)===-1&&e.push(r[s]);let o=t.map(s=>r[s]);return[e,o]}function xo(r,t){let e=t.map(n=>1);return Q_(r,e,t)}function Kq(r,t,e){A(rS(t,e),()=> ` $ { r } supports only inner - most axes for now . Got axes $ { t } and rank - $ { e } input . ` )}function oS(r,t){if(rS(r
rank $ { s . rank } . ` ),A(ta(t),()=> ` Error in localResponseNormalization : depthRadius must be an integer but got depthRadius $ { t } . ` );let i=s,a=!1;s.rank===3&&(a=!0,i=R(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let u={x:i},l={depthRadius:t,bias:e,alpha:n,beta:o},c=_.runKernel(_l,u,l);return a?R(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var jx=k({localResponseNormalization_:yK});function bK(r){let e={x:I(r,"x","log","float32")};return _.runKernel(ms,e)}var Sr=k({log_:bK});function wK(r){let e={x:I(r,"x","log1p")};return _.runKernel(Sa,e)}var Yl=k({log1p_:wK});function vK(r){return A(li(r),()=>"The f passed in grad(f) must be a function"),(t,e)=>{let n=I(t,"x","tf.grad","string_or_numeric"),o=e!=null?I(e,"dy","tf.grad"):null;return _.tidy(()=>{let{value:s,grads:i}=_.gradients(()=>r(n),[n],o);return o!=null&&Re(s.shape,o.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Yx(i),i[0]})}}function CK(r){return A(li(r),()=>"The f passed in grads(f) must be a function"),(t,e)=>{A(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of ` Tensor ` s or ` TensorLike ` s");let n=Ha(t,"args","tf.grads","string_or_numeric"),o=e!=null?I(e,"dy","tf.grads"):null;return _.tidy(()=>{let{value:s,grads:i}=_.gradients(()=>r(...n),n,o);return o!=null&&Re(s.shape,o.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Yx(i),i})}}function IK(r){return A(li(r),()=>"The f passed in valueAndGrad(f) must be a function"),(t,e)=>{A(t instanceof Pt,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),A(e==null||e instanceof Pt,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:n,value:o}=_.gradients(()=>r(t),[t],e);return Yx(n),{grad:n[0],value:o}}}function SK(r){return A(li(r),()=>"The f passed in valueAndGrads(f) must be a function"),(t,e)=>{A(Array.isArray(t)&&t.every(o=>o instanceof Pt),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),A(e==null||e instanceof Pt,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let n=_.gradients(()=>r(...t),t,e);return e!=null&&Re(n.value.shape,e.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Yx(n.grads),n}}function Xx(r,t){A(li(r),()=>"The f passed in variableGrads(f) must be a function"),A(t==null||Array.isArray(t)&&t.every(l=>l instanceof Ua),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let e=t!=null;if(!e){t=[];for(let l in _.registeredVariables)t.push(_.registeredVariables[l])}let n=e?t.filter(l=>!l.trainable):null,o=t.length;t=t.filter(l=>l.trainable),A(t.length>0,()=> ` variableGrads ( ) expects at least one of the input variables to be trainable , but none of the $ { o } variables is trainable . ` );let s=!0,{value:i,grads:a}=_.gradients(r,t,null,s);A(a.some(l=>l!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),A(i.rank===0,()=> ` The f passed in variableGrads ( f ) must return a scalar , but it returned a rank - $ { i . rank } tensor ` );let u={};return t.forEach((l,c)=>{a[c]!=null&&(u[l.name]=a[c])}),n!=null&&n.forEach(l=>u[l.name]=null),{value:i,grads:u}}function un(r){return _.customGrad(r)}function Yx(r){if(r.filter(e=>e==null).length>0)throw new Error( ` Cannot compute gradient of y = f ( x ) with respect to x . Make sure that
the f you passed encloses all operations that lead from x to y . ` )}function NK(r){let e={x:I(r,"x","softplus")};return _.runKernel(Ma,e)}var Us=k({softplus_:NK});function kK(r){let t=I(r,"x","logSigmoid");return un(n=>({value:Yt(Us(Yt(n))),gradFunc:i=>O(i,Kr(Yt(n)))}))(t)}var Zx=k({logSigmoid_:kK});function TK(r,t){let e=I(r,"a","sub"),n=I(t,"b","sub");[e,n]=Xt(e,n);let o={a:e,b:n};return _.runKernel(zs,o)}var ut=k({sub_:TK});function _K(r,t=-1){let e=I(r,"logits","logSoftmax");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error( ` Log Softmax along a non - last dimension is not yet supported . Logits was rank $ { e . rank } and axis was $ { t } ` );return un((o,s)=>{let a=Mr(o,t,!0),u=ut(o,a),l=ut(tt(u,"float32"),Sr(mt(or(u),t,!0)));return s([l]),{value:l,gradFunc:(p,m)=>{let[f]=m,d=!0,h=or(f);return ut(p,O(mt(p,t,d),h))}}})(e)}var hm=k({logSoftmax_:_K});function EK(r,t=null,e=!1){let n=I(r,"x","logSumExp"),o=ur(t,n.shape),s=Mr(n,o,!0),i=ut(n,s),a=or(i),u=mt(a,o),l=Sr(u),c=Z(R(s,l.shape),l);if(e){let p=xo(c.shape,o);return R(c,p)}return c}var gm=k({logSumExp_:EK});function AK(r,t){let e=I(r,"a","logicalAnd","bool"),n=I(t,"b","logicalAnd","bool");zt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(Na,o)}var Dr=k({logicalAnd_:AK});function $ K(r){let e={x:I(r,"x","logicalNot","bool")};return _.runKernel(ka,e)}var Zl=k({logicalNot_: $ K});function DK(r,t){let e=I(r,"a","logicalOr","bool"),n=I(t,"b","logicalOr","bool");zt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(Ta,o)}var xm=k({logicalOr_:DK});function FK(r,t){let e=I(r,"a","logicalXor","bool"),n=I(t,"b","logicalXor","bool");return zt(e.shape,n.shape),Dr(xm(r,t),Zl(Dr(r,t)))}var Jx=k({logicalXor_:FK});var Qx=2147483648;function RK(r,t,e="left"){let n=I(r,"sortedSequence","searchSorted"),o=I(t,"values","searchSorted"),s=n.shape[n.shape.length-1],i=o.shape[o.shape.length-1],a=R(n,[-1,s]),u=R(o,[-1,i]);if(a.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(a.shape[0]!==u.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(Qt(u.shape)>=Qx)throw new Error( ` values tensor size must less than $ { Qx } ` );if(a.shape[1]>=Qx)throw new Error( ` trailing dim _size must less than $ { Qx } for int32 output type , was $ { a . shape [ 1 ] } ` );let l={sortedSequence:a,values:u},c={side:e};return _.runKernel(qp,l,c)}var gh=k({searchSorted_:RK});function rE(r,t){return gh(r,t,"left")}function OK(r,t,e,n,o){let s=I(r,"x","maxPool"),i=1,a=s,u=!1;s.rank===3&&(u=!0,a=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(a.rank===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { a . rank } . ` ),A(Er(e,i),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { e } and dilations '${i}' ` ),Se("maxPool",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o},p=_.runKernel(hs,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Jl=k({maxPool_:OK});function LK(r,t=[1,1,1],e,n,o,s="NDHWC"){let i=I(r,"x","maxPool3d"),a=i,u=!1;i.rank===4&&(u=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(a.rank===5,()=> ` Error in maxPool3d : x must be rank 5 but got rank $ { a . rank } . ` ),A(s==="NDHWC",()=> ` Error in maxPool3d : Only NDHWC is currently supported , but got dataFormat of $ { s } ` ),Se("maxPool3d",n,o);let l={x:a},c={filterSize:t,strides:e,pad:n,dimRoundingMode:o,dataFormat:s},p=_.runKernel(El,l,c);return u?R(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var ty=k({maxPool3d_:LK});function PK(r,t,e,n,o=!1){let i={x:I(r,"x","maxPoolWithArgmax")},a={filterSize:t,strides:e,pad:n,includeBatchInIndex:o},u=_.runKernel(Vp,i,a);return{result:u[0],indexes:u[1]}}var nE=k({maxPoolWithArgmax_:PK});function MK(r,t){let e=I(r,"a","maximum"),n=I(t,"b","maximum");[e,n]=Xt(e,n),e.dtype==="bool"&&(e=tt(e,"int32"),n=tt(n,"int32")),zt(e.shape,n.shape);let o={a:e,b:n};return _.runKernel(ds,o)}var Nn=k({maximum_:MK});function zK(r,t=null,e=!1){let o={x:I(r,"x","mean")},s={axis:t,keepDims:e};return _.runKernel(gs,o,s)}var ke=k({mean_:zK});function Te(r,t="float32"){if(t==="complex64"){let n=Te(r,"float32"),o=Te(r,"float32");return vn(n,o)}let e=
$ { o . shape } ` );if(s.rank!==1)throw new Error( ` Values should be Tensor1D but received shape $ { s . shape } ` );if(i.rank!==1)throw new Error( ` Dense shape should be Tensor1D but received shape $ { i . shape } ` );if(a.rank!==0)throw new Error( ` Default value should be a scalar but received shape $ { a . shape } ` );let u={indices:o,values:s,denseShape:i,defaultValue:a},l=_.runKernel( $ l,u);return{outputIndices:l[0],outputValues:l[1],emptyRowIndicator:l[2],reverseIndexMap:l[3]}}var bA=k({sparseFillEmptyRows_:s5});function i5(r,t,e){let n=I(r,"inputIndices","sparseReshape","int32"),o=I(t,"inputShape","sparseReshape","int32"),s=I(e,"newShape","sparseReshape","int32");if(n.rank!==2)throw new Error( ` Input indices should be Tensor2D but received shape
$ { n . shape } ` );if(o.rank!==1)throw new Error( ` Input shape should be Tensor1D but received shape $ { o . shape } ` );if(s.rank!==1)throw new Error( ` New shape should be Tensor1D but received shape $ { s . shape } ` );let i={inputIndices:n,inputShape:o,newShape:s},a=_.runKernel(za,i);return{outputIndices:a[0],outputShape:a[1]}}var wA=k({sparseReshape_:i5});function a5(r,t,e){let n=I(r,"data","sparseSegmentMean"),o=I(t,"indices","sparseSegmentMean","int32"),s=I(e,"segmentIds","sparseSegmentMean","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
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$ { o . shape } ` );if(s.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
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$ { s . shape } ` );let i={data:n,indices:o,segmentIds:s};return _.runKernel(Dl,i)}var vA=k({sparseSegmentMean_:a5});function l5(r,t,e){let n=I(r,"data","sparseSegmentSum"),o=I(t,"indices","sparseSegmentSum","int32"),s=I(e,"segmentIds","sparseSegmentSum","int32");if(n.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.rank!==1)throw new Error( ` Indices should be Tensor1D but received shape
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$ { o . shape } ` );if(s.rank!==1)throw new Error( ` Segment ids should be Tensor1D but received shape
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$ { s . shape } ` );let i={data:n,indices:o,segmentIds:s};return _.runKernel(Fl,i)}var CA=k({sparseSegmentSum_:l5});function u5(r,t,e,n,o,s,i,a){let u=I(r,"data","stringNGrams","string");if(u.dtype!=="string")throw new Error("Data must be of datatype string");if(u.shape.length!==1)throw new Error( ` Data must be a vector , saw : $ { u . shape } ` );let l=I(t,"dataSplits","stringNGrams");if(l.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let c={separator:e,nGramWidths:n,leftPad:o,rightPad:s,padWidth:i,preserveShortSequences:a},p={data:u,dataSplits:l},m=_.runKernel(Ol,p,c);return{nGrams:m[0],nGramsSplits:m[1]}}var IA=k({stringNGrams_:u5});function c5(r,t,e=!0){let n=I(r,"input","stringSplit","string"),o=I(t,"delimiter","stringSplit","string");if(n.rank!==1)throw new Error( ` Input should be Tensor1D but received shape $ { n . shape } ` );if(o.rank!==0)throw new Error( ` Delimiter should be a scalar but received shape $ { o . shape } ` );let s={skipEmpty:e},i={input:n,delimiter:o},a=_.runKernel(Ll,i,s);return{indices:a[0],values:a[1],shape:a[2]}}var SA=k({stringSplit_:c5});function p5(r,t){let e=I(r,"input","stringToHashBucketFast","string"),n={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let o={input:e};return _.runKernel(Pl,o,n)}var NA=k({stringToHashBucketFast_:p5});var m5={fft:nu,ifft:Ya,rfft:ou,irfft:Tm},f5={hammingWindow:HE,hannWindow:wy,frame:vy,stft:qE},iu={flipLeftRight:jE,grayscaleToRGB:XE,resizeNearestNeighbor:ky,resizeBilinear:Ny,rotateWithOffset:YE,cropAndResize:KE,nonMaxSuppression:ZE,nonMaxSuppressionAsync:tA,nonMaxSuppressionWithScore:eA,nonMaxSuppressionWithScoreAsync:rA,nonMaxSuppressionPadded:nA,nonMaxSuppressionPaddedAsync:oA,threshold:sA,transform:iA},hS={bandPart:aA,gramSchmidt:lA,qr:cA},d5={absoluteDifference:pA,computeWeightedLoss:zr,cosineDistance:mA,hingeLoss:fA,huberLoss:dA,logLoss:hA,meanSquaredError:gA,sigmoidCrossEntropy:xA,softmaxCrossEntropy:yA},h5={sparseFillEmptyRows:bA,sparseReshape:wA,sparseSegmentMean:vA,sparseSegmentSum:CA},g5={stringNGrams:IA,stringSplit:SA,stringToHashBucketFast:NA};var Br=class extends dh{minimize(t,e=!1,n){let{value:o,grads:s}=this.computeGradients(t,n);if(n!=null){let i=n.map(a=>({name:a.name,tensor:s[a.name]}));this.applyGradients(i)}else this.applyGradients(s);return _t(s),e?o:(o.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(t,e){return Xx(t,e)}dispose(){this.iterations_!=null&&_t(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:pt(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(t){throw new Error( ` setWeights ( ) is not implemented for this optimizer class $ { this . getClassName ( ) } ` )}async extractIterations(t){return this.iterations_=(await t[0].tensor.data())[0],t.slice(1)}};Object.defineProperty(Br,Symbol.hasInstance,{value:r=>r.minimize!=null&&r.computeGradients!=null&&r.applyGradients!=null});var au=class extends Br{constructor(t,e,n=null){super(),this.learningRate=t,this.rho=e,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=_.backend.epsilon())}applyGradients(t){(Array.isArray(t)?t.map(n=>n.name):Object.keys(t)).forEach((n,o)=>{let s=_.registeredVariables[n],i=!1;this.accumulatedGrads[o]==null&&(this.accumulatedGrads[o]={originalName: ` $ { n } / accum _grad ` ,variable:W(()=>St(s).variable(i))}),this.accumulatedUpdates[o]==null&&(this.accumulatedUpdates[o]={originalName: ` $ { n } / accum _var ` ,variable:W(()=>St(s).variable(i))});let a=Array.isArray(t)?t[o].tensor:t[n];if(a==null)return;let u=this.accumulatedGrads[o].variable,l=this.accumulatedUpdates[o].variable;W(()=>{let c=Z(O(u,this.rho),O(Ht(a),1-this.rho)),p=O(ct(Ne(Z(l,this.epsilon)),Ne(Z(u,this.epsilon))),a),m=Z(O(l,this.rho),O(Ht(p),1-this.rho));u.assign(c),l.assign(m);let f=Z(O(p,-this.learningRate),s);s.assign(f)})}),this.incrementIterations()}dispose(){this.accumul
indices . shape [ 0 ] = $ { r } ` }function Y5(r,t){return ` indices ( $ { r } , 0 ) is invalid : $ { t } < 0 ` }function Z5(r,t,e){return ` indices ( $ { r } , 0 ) is invalid : $ { t } >= $ { e } ` }function J5(r,t){return ` only one output dimension may be - 1 , not both $ { r } and $ { t } ` }function Q5(r,t){return ` size $ { r } must be non - negative , not $ { t } ` }function tX(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function eX(r,t){let e=Qt(r),n=Qt(t);return ` Input to reshape is a SparseTensor with $ { e }
dense values , but the requested shape requires a multiple of $ { n } . inputShape = $ { r } outputShape = $ { t } ` }function rX(r,t){let e=Qt(r),n=Qt(t);return ` Input to reshape is a tensor with $ { e } dense values , but the requested shape has $ { n } . inputShape = $ { r } outputShape = $ { t } ` }function nX(){return"segment ids must be >= 0"}function oX(){return"segment ids are not increasing"}function sX(r,t){return ` Segment id $ { r } out of range [ 0 , $ { t } ) , possibly because segmentIds input is not sorted . ` }function iX(r,t,e){return ` Bad : indices [ $ { r } ] == $ { t } out of range [ 0 , $ { e } ) ` }var bS={};jt(bS,{collectGatherOpShapeInfo:()=>uX,computeOutShape:()=>lX,segOpComputeOptimalWindowSize:()=>aX});function aX(r,t){let e=!1,n;for(r<=Ty?(n=r,e=!0):n=yp(r,Math.floor(Math.sqrt(r)));!e;)n>t||n===r?e=!0:n=yp(r,n+1);return n}function lX(r,t,e){let n=[],o=r.length;for(let s=0;s<o;s++)s!==t?n.push(r[s]):n.push(e);return n}function uX(r,t,e,n){let o=t.shape.length,s=r.shape.length;if(n!==0&&(n<-o||n>o))throw new Error( ` Expect batchDims in the range of [ - $ { o } , $ { o } ] , but got $ { n } ` );if(n<0&&(n+=o),n>s)throw new Error( ` batchDims ( $ { n } ) must be less than rank ( x ) (
$ { s } ) . ` );if(e<n)throw new Error( ` batchDims ( $ { n } ) must be less than or equal to axis ( $ { e } ) . ` );for(let p=0;p<n;++p)if(r.shape[p]!==t.shape[p])throw new Error( ` x . shape [ $ { p } ] : $ { r . shape [ p ] } should be equal to indices . shape [ $ { p } ] : $ { t . shape [ p ] } . ` );let i=r.shape[e],a=[],u=1,l=1,c=1;for(let p=0;p<n;++p)a.push(r.shape[p]),u*=r.shape[p];for(let p=n;p<e;p++)a.push(r.shape[p]),l*=r.shape[p];for(let p=n;p<o;p++)a.push(t.shape[p]);for(let p=e+1;p<s;p++)a.push(r.shape[p]),c*=r.shape[p];return{batchSize:u,sliceSize:c,outerSize:l,dimSize:i,outputShape:a}}function cX(r){try{return r.map(t=>Qp(t))}catch(t){throw new Error( ` Failed to decode encoded string bytes into utf - 8 , error : $ { t } ` )}}function pX(r){return r.map(t=>Bl(t))}var Vr={};jt(Vr,{nonMaxSuppressionV3Impl:()=>Cy,nonMaxSuppressionV4Impl:()=>Iy,nonMaxSuppressionV5Impl:()=>Sy,whereImpl:()=>gy});var _y={kernelName:ci,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>O(r,yo(tt(e,"float32"),-1))}}};var _A={kernelName:ea,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Ht(tt(e,"float32")),o=Ne(ut(pt(1),n));return Yt(ct(r,o))}}}};var EA={kernelName:ra,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Ne(ut(Ht(tt(e,"float32")),1));return ct(r,n)}}}};var AA={kernelName:jn,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=zt(e.shape,n.shape);return{a:()=>{let a=r,u=ye(e.shape,o);return u.length>0&&(a=mt(a,u)),R(a,e.shape)},b:()=>{let a=r,u=ye(n.shape,o);return u.length>0&&(a=mt(a,u)),R(a,n.shape)}}}};var $ A={kernelName:Ko,saveAllInputs:!0,gradFunc:(r,t)=>{let e={};return t.forEach((n,o)=>{e[o]=()=>r.clone()}),e}};var DA={kernelName:jo,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>St(e)}}};var FA={kernelName:Cl,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>St(e)}}};var RA={kernelName:sa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ct(r,Ne(ut(pt(1),Ht(tt(e,"float32")))))}}};var OA={kernelName:ia,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>{let n=Ne(Z(pt(1),Ht(tt(e,"float32"))));return ct(r,n)}}}};var LA={kernelName:ua,inputsToSave:["a","b"],gradFunc:(r,t)=>{let[e,n]=t,o=zt(e.shape,n.shape);return{a:()=>{let a=Z(Ht(e),Ht(n)),u=O(r,ct(n,a)),l=ye(e.shape,o);return l.length>0&&(u=mt(u,l)),R(u,e.shape)},b:()=>{let a=Z(Ht(e),Ht(n)),u=Yt(O(r,ct(e,a))),l=ye(n.shape,o);return l.length>0&&(u=mt(u,l)),R(u,n.shape)}}}};var PA={kernelName:aa,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ct(r,Z(Ht(tt(e,"float32")),1))}}};var MA={kernelName:la,inputsToSave:["x"],gradFunc:(r,t)=>{let[e]=t;return{x:()=>ct(r,ut(pt(1),Ht(tt(e,"float32"))))}}};function mX(r,t,e,n,o,s){let i=I(r,"dy","avgPool3dGrad"),a=I(t,"input","avgPool3dGrad"),u=i,l=a,c=!1;a.rank===4&&(c=!0,u=R(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),l=R(a,[1,a.shape[0],a.shape[1],a.shape[2],a.shape[3]])),A(u.rank===5,()=> ` Error in avgPool3dGrad : dy must be rank 5 but got rank $ { u . rank } . ` ),A(l.rank===5,()=> ` Error in avgPool3dGrad : input must be rank 5 but got rank $ { l . rank } . ` ),Se("avgPool3dGrad",o,s);let p={dy:u,input:l},m={filterSize:e,strides:n,pad:o,dimRoundingMode:s},f=_.runKernel(vp,p,m);return c?R(f,[f.shape[1],f.shape[2],f.shape[3],f.shape[4]]):f}var zA=k({avgPool3dGrad_:mX});var BA={kernelName:Il,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i,dimRoundingMode:a}=e;return{x:()=>zA(r,n,o,s,i,a)}}};function fX(r,t,e,n,o){let s=I(r,"dy","avgPoolGrad"),i=I(t,"input","avgPoolGrad");A(i.rank===s.rank,()=> ` Rank of input ( $ { i . rank } ) does not match rank of dy ( $ { s . rank } ) ` );let a=i,u=s,l=!1;i.rank===3&&(l=!0,a=R(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=R(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(u.rank===4,()=> ` Error in avgPoolGrad : dy must be rank 4 but got rank $ { u . rank } . ` ),A(a.rank===4,()=> ` Error in avgPoolGrad : input must be rank 4 but got rank $ { a . rank } . ` );let c={dy:u,input:a},p={filterSize:e,strides:n,pad:o},m=_.runKernel(wp,c,p);return l?R(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var VA=k({avgPoolGrad_:fX});var GA={kernelName:Xo,inputsToSave:["x"],gradFunc:(r,t,e)=>{let[n]=t,{filterSize:o,strides:s,pad:i}
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1. The $ { n } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
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'className' and 'config' must set . ` );let i=s.className,a,u;if(i in e?[a,u]=e[i]:i in wo?[a,u]=wo.className:i in t&&([a,u]=t[i]),a==null)throw new z( ` Unknown $ { n } : $ { i } . This may be due to one of the following reasons :
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1. The $ { n } is defined in Python , in which case it needs to be ported to TensorFlow . js or your JavaScript code .
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2. The custom $ { n } is defined in JavaScript , but is not registered properly with tf . serialization . registerClass ( ) . ` );if(u!=null){let l={};for(let f of Object.keys(wo))l[f]=wo[f];for(let f of Object.keys(e))l[f]=e[f];let c=s.config;c.customObjects=l;let p=Object.assign({},wo);for(let f of Object.keys(e))wo[f]=e[f];SS(s.config);let m=u(a,s.config,e,o);return wo=Object.assign({},p),m}else{let l=Object.assign({},wo);for(let p of Object.keys(e))wo[p]=e[p];let c=new a(s.config);return wo=Object.assign({},l),c}}}function CX(r,t){return r<t?-1:r>t?1:0}function Ch(r,t){return-1*CX(r,t)}function Io(r){if(r==null)return r;let t=[];for(let e of r)t.indexOf(e)===-1&&t.push(e);return t}function S $ (r){if(r==null)throw new z( ` Invalid value in obj : $ { JSON . stringify ( r ) } ` );for(let t in r)if(r.hasOwnProperty(t))return!1;return!0}function qi(r,t,e){if(e!=null&&r.indexOf(e)<0)throw new z( ` $ { e } is not a valid $ { t } . Valid values are $ { r } or null / undefined . ` )}function Ay(r,t,e=0,n=1/0){return Qn(e>=0),Qn(n>=e),Array.isArray(r)&&r.length>=e&&r.length<=n&&r.every(o=>typeof o===t)}function Je(r,t){Array.isArray(r)?(x.assert(r.length>0,()=> ` $ { t } is unexpectedly an empty array . ` ),r.forEach((e,n)=>Je(e, ` element $ { n + 1 } of $ { t } ` ))):x.assert(Number.isInteger(r)&&r>0,()=> ` Expected $ { t } to be a positive integer , but got $ { N$ ( r ) } . ` )}function N $ (r){return r===null?"null":Array.isArray(r)?"["+r.map(t=>N $ (t)).join(",")+"]":typeof r=="string"? ` "${r}" ` : ` $ { r } ` }function k $ (r,t,e){let n=e!=null?e():x.now(),o;return(...i)=>{let a=e!=null?e():x.now();return a-n<t||(n=a,o=r(...i)),o}}function $ y(r){return r==="relu"?"relu":r==="linear"?"linear":r==="elu"?"elu":null}var IX=0;function Fy(){return IX++}var Dy={};function fu(r=""){return r in Dy||(Dy[r]=0),Dy[r]+=1,r+Dy[r].toString()}var T $ =["channelsFirst","channelsLast"],_ $ =["nearest","bilinear"],E $ =["valid","same","causal"],A $ =["max","avg"], $ $ =["sum","mul","concat","ave"];var Rm=new Map;function Le(r){qi(T $ ,"DataFormat",r)}function F $ (r){qi(_ $ ,"InterpolationFormat",r)}function pn(r){qi(E $ ,"PaddingMode",r)}function kS(r){qi(A $ ,"PoolMode",r)}var Ih=[],D $ ="/";function Xs(r,t){Ih.push(r);try{let e=t();return Ih.pop(),e}catch(e){throw Ih.pop(),e}}function SX(){return Ih.length===0?"":Ih.join(D $ )+D $ }function Ry(r){if(!R $ (r))throw new Error("Not a valid tensor name: '"+r+"'");return SX()+r}function Oy(r){if(!R $ (r))throw new Error("Not a valid tensor name: '"+r+"'");Rm.has(r)||Rm.set(r,0);let t=Rm.get(r);if(Rm.set(r,Rm.get(r)+1),t>0){let e= ` $ { r } _$ { t } ` ;return Rm.set(e,1),e}else return r}var NX=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9 \. _ \/ ]* $ /);function R $ (r){return!!r.match(NX)}function O $ (r){return r===parseInt(r.toString(),10)}function So(r,t,e){t==null&&(t=0),e==null&&(e=r.length);let n=1;for(let o=t;o<e;++o)n*=r[o];return n}function mc(r){if(r.length===0)return Number.NaN;let t=Number.POSITIVE_INFINITY;for(let e=0;e<r.length;e++){let n=r[e];n<t&&(t=n)}return t}function Ys(r){if(r.length===0)return Number.NaN;let t=Number.NEGATIVE_INFINITY;for(let e=0;e<r.length;e++){let n=r[e];n>t&&(t=n)}return t}function jr(r,t){if(t<r)throw new z( ` end ( $ { t } ) < begin ( $ { r } ) is forbidden . ` );let e=[];for(let n=r;n<t;++n)e.push(n);return e}var TS;function ar(){return TS==null&&(TS=I_().epsilon()),TS}function mn(){return"channelsLast"}function fc(r,t){return tt(r,t)}function Qa(r,t=-1){let e=r.shape.slice();return t<0&&(t=e.length+t+1),e.splice(t,0,1),R(r,e)}function L $ (r,t){return W(()=>{if(r.shape.length!==2)throw new z( ` repeat ( ) expects a rank - 2 tensor , but received a rank - $ { r . shape . length } tensor . ` );let e=Qa(r,1);return Py(e,[1,t,1])})}function P $ (r){let t=[So(r.shape)];return R(r,t)}function M $ (r){if(r.rank<=1)throw new z( ` batchFlatten requires a minimum rank of 2. Got rank : $ { r . rank } . ` );let t=[r.shape[0],So(r.shape,1)];return R(r,t)}function Ja(r,t,e){return W(()=>{switch(r.rank){case 1:return Nm(r,t,e);case 2:return yh(r,[t,0],[e,r.shape[1]]);case 3:return km(r,[t,0,0],[e,r.shape[1],r.shape[2]]);case 4:return ic(r,[t,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3]]);case 5:return Ot(r,[t,0,0,0,0],[e,r.shape[1],r.shape[2],r.shape[3],r.shape[4]])
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tensor . shape [ 0 ] , but sum of lengths is
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$ { n } , and tensor 's shape is: ${e.shape}`);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error(`TensorArray' s size is not equal to the size of lengths ( $ { this . maxSize } vs . $ { t . length } ) , and the TensorArray is not marked as dynamically resizeable ` );let s=n===0?0:e.size/n,i=[];W(()=>{e=R(e,[1,n,s]);for(let u=0;u<t.length;++u){let l=u===0?0:o[u-1],c=[0,l,0],p=[1,t[u],s];i[u]=R(Ot(e,c,p),this.elementShape)}return i});let a=[];for(let u=0;u<t.length;u++)a[u]=u;this.writeMany(a,i)}};var ll=class{constructor(t,e,n,o=-1){this.tensors=t,this.elementShape=e,this.elementDtype=n,t!=null&&t.forEach(s=>{if(n!==s.dtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { s . dtype } ` );Vn(e,s.shape,"TensorList shape mismatch: "),Oe(s)}),this.idTensor=pt(0),this.maxNumElements=o,Oe(this.idTensor)}get id(){return this.idTensor.id}copy(){return new ll([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(t){this.tensors.forEach(e=>{(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(t,e,n=-1){if(e!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e } , but list elements $ { this . elementDtype } ` );if(n!==-1&&this.tensors.length!==n)throw new Error( ` Operation expected a list with $ { n } elements but got a list with $ { this . tensors . length } elements . ` );Vn(t,this.elementShape,"TensorList shape mismatch: ");let o=td(this.elementShape,this.tensors,t);return W(()=>{let s=this.tensors.map(i=>R(i,o));return sr(s,0)})}popBack(t,e){if(e!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e } , but list elements $ { this . elementDtype } ` );if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=td(this.elementShape,this.tensors,t),o=this.tensors.pop();return Vn(o.shape,t,"TensorList shape mismatch: "),R(o,n)}pushBack(t){if(t.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { t . dtype } , but list elements $ { this . elementDtype } ` );if(Vn(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Oe(t),this.tensors.push(t)}resize(t){if(t<0)throw new Error( ` TensorListResize expects size to be non - negative . Got : $ { t } ` );if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error( ` TensorListResize input size $ { t } is greater maxNumElement $ { this . maxNumElements } . ` );let e=new ll([],this.elementShape,this.elementDtype,this.maxNumElements);e.tensors.length=t;for(let n=0;n<Math.min(this.tensors.length,t);++n)e.tensors[n]=this.tensors[n];return e}getItem(t,e,n){if(n!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { n } , but list elements $ { this . elementDtype } ` );if(t<0||t>this.tensors.length)throw new Error( ` Trying to access element $ { t } in a list with $ { this . tensors . length } elements . ` );if(this.tensors[t]==null)throw new Error( ` element at index $ { t } is null . ` );Vn(this.tensors[t].shape,e,"TensorList shape mismatch: ");let o=td(this.elementShape,this.tensors,e);return R(this.tensors[t],o)}setItem(t,e){if(e.dtype!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e . dtype } , but list elements $ { this . elementDtype } ` );if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error( ` Trying to set element $ { t } in a list with max $ { this . maxNumElements } elements . ` );Vn(this.elementShape,e.shape,"TensorList shape mismatch: "),Oe(e),this.tensors[t]=e}gather(t,e,n){if(e!==this.elementDtype)throw new Error( ` Invalid data types ; op elements $ { e } , but list elements $ { this . elementDtype } ` );Vn(this.elementShape,n,"TensorList shape mismatch: "),t=t.slice(0,this.size());let o=td(this.elementShape,this.tensors,n);return t.length===0?Cr([],[0].concat(o)):W(()=>{let s=t.map(i=>R(this.tensors[i],o));return sr(s,0)})}concat(t,e){if(!!t&&t!==this.elementDtype)throw new Error( ` TensorList dtype is $ { this . elementDtype } but concat requested dtype $ { t } ` );Vn(this.elementShape,e,"TensorList shape mismatch: ");let n=td(this.elementShape,this.tensors,e);return this.size()==
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tensor . shape [ 0 ] , but sum of lengths is
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$ { n } , and tensor ' s shape is : $ { r . shape } ` );let s=r.shape.slice(1),i=Kb(s,e),a=n===0?0:r.size/n,u=W(()=>{let c=[];r=R(r,[1,n,a]);for(let p=0;p<t.length;++p){let m=p===0?0:o[p-1],f=[0,m,0],d=[1,t[p],a];c[p]=R(Ot(r,f,d),i)}return r.dispose(),c}),l=new ll([],e,r.dtype,t.length);for(let c=0;c<u.length;c++)l.setItem(c,u[c]);return l}var jD=async(r,t,e)=>{switch(r.op){case"If":case"StatelessIf":{let n=C("thenBranch",r,t,e),o=C("elseBranch",r,t,e),s=C("cond",r,t,e),i=C("args",r,t,e);return(await s.data())[0]?e.functionMap[n].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap):e.functionMap[o].executeFunctionAsync(i,e.tensorArrayMap,e.tensorListMap)}case"While":case"StatelessWhile":{let n=C("body",r,t,e),o=C("cond",r,t,e),s=C("args",r,t,e),i=await e.functionMap[o].executeFunctionAsync(s,e.tensorArrayMap,e.tensorListMap),a=s.map(c=>c.id),u=await i[0].data();i.forEach(c=>{!c.kept&&a.indexOf(c.id)===-1&&c.dispose()});let l=s;for(;u[0];){let c=l;l=await e.functionMap[n].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);let p=l.map(f=>f.id);c.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()});let m=await e.functionMap[o].executeFunctionAsync(l,e.tensorArrayMap,e.tensorListMap);u=await m[0].data(),m.forEach(f=>{!f.kept&&a.indexOf(f.id)===-1&&p.indexOf(f.id)===-1&&f.dispose()})}return l}case"LoopCond":{let n=C("pred",r,t,e);return[ei(n)]}case"Switch":{let n=C("pred",r,t,e),o=C("data",r,t,e);return o.kept||(o=ei(o)),(await n.data())[0]?[void 0,o]:[o,void 0]}case"Merge":{let n=r.inputNames.find(o=>wr(o,t,e)!==void 0);if(n){let o=wr(n,t,e);return[ei(o)]}return}case"Enter":{let n=C("frameName",r,t,e),o=C("tensor",r,t,e);return e.enterFrame(n),[ei(o)]}case"Exit":{let n=C("tensor",r,t,e);return e.exitFrame(),[ei(n)]}case"NextIteration":{let n=C("tensor",r,t,e);return e.nextIteration(),[ei(n)]}case"TensorArrayV3":{let n=C("size",r,t,e),o=C("dtype",r,t,e),s=C("elementShape",r,t,e),i=C("dynamicSize",r,t,e),a=C("clearAfterRead",r,t,e),u=C("identicalElementShapes",r,t,e),l=C("name",r,t,e),c=new jb(l,o,n,s,u,i,a);return e.addTensorArray(c),[c.idTensor,pt(1)]}case"TensorArrayWriteV3":{let n=C("tensorArrayId",r,t,e),o=C("index",r,t,e),s=C("tensor",r,t,e),i=e.getTensorArray(n.id);return i.write(o,s),[i.idTensor]}case"TensorArrayReadV3":{let n=C("tensorArrayId",r,t,e),o=C("index",r,t,e);return[e.getTensorArray(n.id).read(o)]}case"TensorArrayGatherV3":{let n=C("tensorArrayId",r,t,e),o=C("indices",r,t,e),s=C("dtype",r,t,e);return[e.getTensorArray(n.id).gather(o,s)]}case"TensorArrayScatterV3":{let n=C("tensorArrayId",r,t,e),o=C("indices",r,t,e),s=C("tensor",r,t,e),i=e.getTensorArray(n.id);return i.scatter(o,s),[i.idTensor]}case"TensorArrayConcatV3":{let n=C("tensorArrayId",r,t,e),o=e.getTensorArray(n.id),s=C("dtype",r,t,e);return[o.concat(s)]}case"TensorArraySplitV3":{let n=C("tensorArrayId",r,t,e),o=C("tensor",r,t,e),s=C("lengths",r,t,e),i=e.getTensorArray(n.id);return i.split(s,o),[i.idTensor]}case"TensorArraySizeV3":{let n=C("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return[pt(o.size(),"int32")]}case"TensorArrayCloseV3":{let n=C("tensorArrayId",r,t,e),o=e.getTensorArray(n.id);return o.clearAndClose(),[o.idTensor]}case"TensorListSetItem":{let n=C("tensorListId",r,t,e),o=C("index",r,t,e),s=C("tensor",r,t,e),i=e.getTensorList(n.id);return i.setItem(o,s),[i.idTensor]}case"TensorListGetItem":{let n=C("tensorListId",r,t,e),o=C("index",r,t,e),s=C("elementShape",r,t,e),i=C("elementDType",r,t,e);return[e.getTensorList(n.id).getItem(o,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let n=C("indices",r,t,e),o=C("tensor",r,t,e),s=C("elementShape",r,t,e),i=C("numElements",r,t,e),a=qD(o,n,s,i);return e.addTensorList(a),[a.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let n=C("elementShape",r,t,e),o=C("elementDType",r,t,e),s;r.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=C(s,r,t,e),a=r.op==="TensorListReserve"?-1:i,u=HD(n,o,i,a);return e.addTensorList(u),[u.idTensor]}case"TensorListGather":{let n=C("tensorListId",r,t,e),o=C("indices",r,t,e),s=C("elementShape",r,t,e),i=C("ele
$ { t } ` );let o;return this.size===1/0||this.size==null?o=this.size:e?o=Math.ceil(this.size/t):o=Math.floor(this.size/t),En(async()=>(await n.iterator()).columnMajorBatch(t,e,RZ),o)}concatenate(t){let e=this,n;return this.size===1/0||t.size===1/0?n=1/0:this.size!=null&&t.size!=null?n=this.size+t.size:n=null,En(async()=>(await e.iterator()).concatenate(await t.iterator()),n)}filter(t){let e=this,n;return this.size===1/0?n=1/0:n=null,En(async()=>(await e.iterator()).filter(o=>W(()=>t(o))),n)}async forEachAsync(t){return(await this.iterator()).forEachAsync(t)}map(t){let e=this;return En(async()=>(await e.iterator()).map(n=>W(()=>t(n))),this.size)}mapAsync(t){let e=this;return En(async()=>(await e.iterator()).mapAsync(t),this.size)}prefetch(t){if(t==null)throw new RangeError(" ` Dataset . prefetch ( ) ` requires bufferSize to be specified.");let e=this;return En(async()=>(await e.iterator()).prefetch(t),this.size)}repeat(t){let e=this,n;return this.size!=null&&t>0?n=this.size*t:t===0?n=0:this.size!=null&&(t===void 0||t<0)?n=1/0:n=null,En(async()=>{let o=Vh(async()=>({value:await e.iterator(),done:!1}));return wF(o.take(t))},n)}skip(t){let e=this,n;return this.size!=null&&t>=0&&this.size>=t?n=this.size-t:this.size!=null&&(this.size<t||t===void 0||t<0)?n=0:n=null,En(async()=>(await e.iterator()).skip(t),n)}shuffle(t,e,n=!0){if(t==null||t<0)throw this.size==null?new RangeError(" ` Dataset . shuffle ( ) ` requires bufferSize to be specified."):new RangeError( ` \ ` Dataset.shuffle() \` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \` tf.Tensor \` s), consider setting bufferSize to the dataset size ( ${ this . size } elements) ` ) ; let o = this , s = CF . alea ( e || x . now ( ) . toString ( ) ) ; return En ( async ( ) => { let i = s . int32 ( ) ; return n && ( i += s . int32 ( ) ) , ( await o . iterator ( ) ) . shuffle ( t , i . toString ( ) ) } , this . size ) } take ( t ) { let e = this , n ; return this . size != null && this . size > t ? n = t : this . size != null && this . size <= t ? n = this . size : n = null , En ( async ( ) => ( await e . iterator ( ) ) . take ( t ) , n ) } async toArray ( ) { if ( this . size === 1 / 0 ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArray ( ) } async toArrayForTest ( ) { if ( this . size === 1 / 0 ) throw new Error ( "Can not convert infinite data stream to array." ) ; return ( await this . iterator ( ) ) . toArrayForTest ( ) } } ; ri . MAX _BUFFER _SIZE = 1e4 ; function En ( r , t = null ) { return new class extends ri { constructor ( ) { super ( ... arguments ) , this . size = t } async iterator ( ) { return r ( ) } } } function IF ( r ) { return En ( async ( ) => RN ( r ) , r . length ) } function SF ( r ) { if ( ! vu ( r ) ) throw new Error ( "The argument to zip() must be an object or array." ) ; let t ; if ( Array . isArray ( r ) ) for ( let e = 0 ; e < r . length ; e ++ ) t = t == null ? r [ e ] . size : Math . min ( t , r [ e ] . size ) ; else if ( r instanceof Object ) for ( let e in r ) t = t == null ? r [ e ] . size : Math . min ( t , r [ e ] . size ) ; return En ( async ( ) => { let e = await Jb ( r , n => { if ( n instanceof ri ) return { value : n . iterator ( ) , recurse : ! 1 } ; if ( vu ( n ) ) return { value : null , recurse : ! 0 } ; throw new Error ( "Leaves of the structure passed to zip() must be Datasets, not primitives." ) } ) ; return vF ( e , ul . SHORTEST ) } , t ) } function RZ ( r ) { if ( r === null ) return null ; let t = r [ 0 ] ; return xF ( t ) ? { value : OZ ( r ) , recurse : ! 1 } : { value : null , recurse : ! 0 } } function OZ ( r ) { if ( r . length === 0 ) throw new Error ( "Can't make a batch of zero elements." ) ; return r [ 0 ] instanceof Pt ? sr ( r ) : Cr ( r ) } var rd = class extends ri { constructor ( t ) { super ( ) , this . input = t } async iterator ( ) { return ( await this . input . iterator ( ) ) . decodeUTF8 ( ) . split ( `
` ).map(o=>(o.endsWith(" \r ")&&(o=o.slice(0,-1)),o))}};var rw='"',Gh=Symbol("out"),NF=Symbol("field"),nw=Symbol("quote"),ON=Symbol("quoteafterquote"),kF=Symbol("quoteinquote"),nd=class extends ri{constructor(t,e){super(),this.input=t,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new rd(t),e||(e={}),this.hasHeader=e.hasHeader!==!1,this.fullColumnNames=e.columnNames,this.columnConfigs=e.columnConfigs,this.configuredColumnsOnly=e.configuredColumnsOnly,e.delimWhitespace?(x.assert(e.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=e.delimiter?e.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let t=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!t)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&t&&x.assert(t.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=t);let e=this.fullColumnNames.reduce((o,s)=>(o[s]=o[s]+1||1,o),{}),n=Object.keys(e).filter(o=>e[o]>1);if(x.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let o of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(o)===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let n=e.value;return this.parseRow(n,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let t=await this.base.iterator();return this.hasHeader&&(t=t.skip(1)),t.map(e=>this.makeDataElement(e))}makeDataElement(t){let e=this.parseRow(t),n={},o={};for(let s=0;s<this.fullColumnNames.length;s++){let i=this.fullColumnNames[s],a=this.columnConfigs?this.columnConfigs[i]:null;if(!(this.configuredColumnsOnly&&!a)){let u=e[s],l=null;if(u==="")if(a&&a.default!==void 0)l=a.default;else{if(a&&(a.required||a.isLabel))throw new Error( ` Required column $ { i } is empty in this line : $ { t } ` );l=void 0}else{let c=Number(u);if(isNaN(c))a&&a.dtype==="bool"?l=this.getBoolean(u):l=u;else if(!a||!a.dtype)l=c;else switch(a.dtype){case"float32":l=c;break;case"int32":l=Math.floor(c);break;case"bool":l=this.getBoolean(u);break;default:l=c}}a&&a.isLabel?o[i]=l:n[i]=l}}return Object.keys(o).length===0?n:{xs:n,ys:o}}getBoolean(t){return t==="1"||t.toLowerCase()==="true"?1:0}parseRow(t,e=!0){let n=[],o=0,s=t.length,i=Gh;for(let a=0;a<s;a++)switch(i){case Gh:switch(t.charAt(a)){case rw:o=a+1,i=nw;break;case this.delimiter:if(o=a+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),i=Gh;break;default:i=NF,o=a;break}break;case NF:switch(t.charAt(a)){case this.delimiter:n.push(t.substring(o,a)),i=Gh,o=a+1;break;default:}break;case nw:switch(t.charAt(a)){case rw:i=ON;break;default:}break;case ON:switch(t.charAt(a)){case this.delimiter:n.push(t.substring(o,a-1)),i=Gh,o=a+1;break;case rw:i=nw;break;default:i=kF;break}break;case kF:switch(t.charAt(a)){case rw:i=nw;break;default:}break;default:}if(i===ON?n.push(t.substring(o,s-1)):n.push(t.substring(o)),e&&n.length!==this.fullColumnNames.length)throw new Error( ` Invalid row in csv file . Should have $ { this . fullColumnNames . length } elements in a row , but got $ { n } ` );return n}};var od=class extends Qe{constructor(t){super(),this.microphoneConfig=t,this.isClosed=!1,this.fftSize=t.fftSize||1024;let e=Math.log2(this.fftSize);if(this.fftSize<0||e<4||e>14||!Number.isInteger(e))throw new Error( ` Inval
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=== === === === === === === === === =
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Hi , looks like you are running TensorFlow . js in Node . js . To speed things up dramatically , install our node backend , visit https : //github.com/tensorflow/tfjs-node for more details.
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=== === === === === === === === === = ` ));let o={id:this.nextDataId()};return this.data.set(o,{values:t,dtype:n,refCount:1}),o}makeTensorInfo(t,e,n){let o;if(e==="string"&&n!=null&&n.length>0&&x.isString(n[0])){let s=n.map(i=>x.encodeString(i));o=this.write(s,t,e)}else o=this.write(n,t,e);return{dataId:o,shape:t,dtype:e}}refCount(t){return this.data.has(t)?this.data.get(t).refCount:0}incRef(t){let e=this.data.get(t);e.refCount++}decRef(t){if(this.data.has(t)){let e=this.data.get(t);e.refCount--}}move(t,e,n,o,s){this.data.set(t,{values:e,dtype:o,refCount:s})}numDataIds(){return this.data.numDataIds()}async read(t){return this.readSync(t)}readSync(t){let{dtype:e,complexTensorInfos:n}=this.data.get(t);if(e==="complex64"){let o=this.readSync(n.real.dataId),s=this.readSync(n.imag.dataId);return S.mergeRealAndImagArrays(o,s)}return this.data.get(t).values}bufferSync(t){let e=this.readSync(t.dataId);if(t.dtype==="string")try{let n=e.map(o=>x.decodeString(o));return Ct(t.shape,t.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Ct(t.shape,t.dtype,e)}makeOutput(t,e,n){return go().makeTensorFromTensorInfo(this.makeTensorInfo(e,n,t),this)}disposeData(t,e=!1){if(this.data.has(t)){if(this.data.get(t).refCount--,!e&&this.data.get(t).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(t);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(t)}return!0}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}async time(t){let e=x.now();return t(),{kernelMs:x.now()-e}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(t){rt([t],"where");let e=this.readSync(t.dataId);return PZ(t.shape,e)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};Cu.nextDataId=0;var yw={};jt(yw,{addImpl:()=>GN,bincountImpl:()=>md,bincountReduceImpl:()=>aw,ceilImpl:()=>WN,concatImpl:()=>Rc,equalImpl:()=>UN,expImpl:()=>qN,expm1Impl:()=>jN,floorImpl:()=>XN,gatherNdImpl:()=>lw,gatherV2Impl:()=>uw,greaterEqualImpl:()=>ZN,greaterImpl:()=>YN,lessEqualImpl:()=>QN,lessImpl:()=>JN,linSpaceImpl:()=>cw,logImpl:()=>tk,maxImpl:()=>pw,maximumImpl:()=>ek,minimumImpl:()=>rk,multiplyImpl:()=>Uh,negImpl:()=>nk,notEqualImpl:()=>ok,prodImpl:()=>sk,rangeImpl:()=>Lc,rsqrtImpl:()=>ik,scatterImpl:()=>cl,sigmoidImpl:()=>oR,simpleAbsImpl:()=>VN,sliceImpl:()=>Pc,sparseFillEmptyRowsImpl:()=>mw,sparseReshapeImpl:()=>fw,sparseSegmentReductionImpl:()=>dd,sqrtImpl:()=>aR,squaredDifferenceImpl:()=>lk,stridedSliceImpl:()=>dw,stringNGramsImpl:()=>Mc,stringSplitImpl:()=>zc,stringToHashBucketFastImpl:()=>Bc,subImpl:()=>ck,tileImpl:()=>hw,topKImpl:()=>gw,transposeImpl:()=>fd,uniqueImpl:()=>xw});function VN(r){let t=new Float32Array(r.length);for(let e=0;e<r.length;++e)t[e]=Math.abs(r[e]);return t}var MZ=r=>{let{x:t}=r.inputs,e=r.backend;rt(t,"abs");let n=new Float32Array(x.sizeFromShape(t.shape)),o=e.data.get(t.dataId).values;return n=VN(o),e.makeOutput(n,t.shape,t.dtype)},RF={kernelName:ci,backendName:"cpu",kernelFunc:MZ};function re(r){return(t,e,n,o,s)=>{let i=S.assertAndGetBroadcastShape(t,e),a=i.length,u=x.computeStrides(i),l=x.sizeFromShape(i),c=x.getTypedArrayFromDType(s,l),p=t.length,m=e.length,f=x.computeStrides(t),d=x.computeStrides(e),h=S.getBroadcastDims(t,i),g=S.getBroadcastDims(e,i);if(h.length+g.length===0)for(let y=0;y<c.length;++y)c[y]=r(n[y%n.length],o[y%o.length]);else for(let y=0;y<c.length;++y){let b=x.indexToLoc(y,a,u),w=b.slice(-p);h.forEach( $ =>w[ $ ]=0);let v=x.locToIndex(w,p,f),N=b.slice(-m);g.forEach( $ =>N[ $ ]=0);let E=x.locToIndex(N,m,d);c[y]=r(n[v],o[E])}return[c,i]}}function vr(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.data.get(n.dataId).values,i=e.data.get(o.dataId).values,a=e.makeTensorInfo(n.shape,"complex64"),u=e.data.get(a.dataId);return u.complexTensorInfos={real:e.makeTensorInfo(n.shape,"float32",s),imag:e.makeTensorInfo(o.shape,"float32",i)},a}var OF={kernelName:Sp,backendName:"cpu",kernelFunc:vr};function cd(r,t,e="float32"){if(e==="comple
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$ { s . shape } ` );if(n.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { o . shape } ` );if(i.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
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$ { i . shape } ` );let a=e.data.get(n.dataId).values,u=e.data.get(o.dataId).values,l=e.data.get(s.dataId).values,c=e.data.get(i.dataId).values[0],[p,m,f,d,h]=mw(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],"bool",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var SL={kernelName: $ l,backendName:"cpu",kernelFunc:dQ};function hQ(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape
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$ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape
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$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let i=Array.from(e.data.get(o.dataId).values),a=e.data.get(n.dataId).values,u=Array.from(e.data.get(s.dataId).values),[l,c,p]=fw(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var NL={kernelName:za,backendName:"cpu",kernelFunc:hQ};function gQ(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
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$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { s . shape } ` );if(o.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=dd(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var kL={kernelName:Dl,backendName:"cpu",kernelFunc:gQ};function xQ(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
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$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { s . shape } ` );if(o.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=e.data.get(n.dataId).values,a=e.data.get(o.dataId).values,u=e.data.get(s.dataId).values,[l,c]=dd(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var TL={kernelName:Fl,backendName:"cpu",kernelFunc:xQ};function yQ(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1,d=e.bufferSync(o),h;switch(s.dtype){case"bool":{let g=e.bufferSync(s),y=Boolean(e.data.get(i.dataId).values[0]);h=cl(d,g,a,m,c,l,u,p,y,f);break}case"float32":{let g=e.bufferSync(s),y=e.data.get(i.dataId).values[0];h=cl(d,g,a,m,c,l,u,p,y,f);break}case"int32":{let g=e.bufferSync(s),y=e.data.get(i.dataId).values[0];h=cl(d,g,a,m,c,l,u,p,y,f);break}case"string":{let g=e.bufferSync(s),y=x.decodeString(e.data.get(i.dataId).values[0]);h=cl(d,g,a,m,c,l,u,p,y,f);break}default:throw new Error( ` Unsupported type $ { s . dtype } ` )}return e.makeTensorInfo(a,h.dtype,h.values)}var _L={kernelName:Kp,backendName:"cpu",kernelFunc:yQ};function bQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=x.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Do({inputs:{x:o},backend:e,attrs:{begin:l,size:m}});return l[a]+=p,f})}var EL={kernelName:Ci,backendName:"cpu",kernelFunc:bQ};var AL={kernelName:Rl,backendName:"cpu",kernelFunc:({inputs:r,backend:t})=>{let{x:e}=r,n=t;rt(e,"square");let o=n.data.get(e.dataId).values,s=new Float32Array(o.length);for(let a=0;a<o.length;++a){let u=o[a];s[a]=u*u}return{dataId:n.write(s,e.shape,e.dtype),shape:e.shape,dtype:e.dtype}}};var wQ=Et(uo,(r,t)=>{let e=t;return isNaN(r)?NaN:r>0?1:e.alpha}), $ L={kernelName:uo,backendName:"cpu",kernelFunc:wQ};function vQ(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n;rt(o,"stridedSlice");let{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:y,begin:b,end:w,strides:v}=Be.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=Jt({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||y){x.assert(o.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { o . shape . length } ` );let E=Be.computeOutShape(b,w,v), $ =Do({inputs:{x:o},backend:e,attrs:{begin:b,size:E}});N=Jt({inputs:{x: $ },backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo( $ )}else{let E=e.bufferSync(o), $ =dw(f,E,v,b);N=e.makeTensorInfo(d, $ .dtype, $ .values)}return N}var DL={kernelName:Ba,backendName:"cpu",kernelFunc:vQ};function CQ(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.data.get(c.dataId).values,f=e.data.get(p.dataId).values,[d,h]=Mc(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var FL={kernelName:Ol,backendName:"cpu",kernelFunc:CQ};function IQ(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error( ` Input must be a vector , got shape : $ { s . shape } ` );if(i.shape.length!==0)throw new Error( ` Delimiter must be a scalar , got shape : $ { i . shape } ` );let a=e.data.get(s.dataId).values,u=e.data.get(i.dataId).values[0],[l,c,p]=zc(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],"int32",l),e.makeTensorInfo([m],"string",c),e.makeTensorInfo([2],"int32",new Int32Array(p))]}var RL={kernelName:Ll,backendName:"cpu",kernelFunc:IQ};function SQ(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");let i=e.data.get(s.dataId).values,a=Bc(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var OL={kernelName:Pl,backendName:"cpu",kernelFunc:SQ};var NQ=Et(Bs,r=>Math
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` ),s=o.length.toString().length+2,i=o.map((p,m)=>x.rightPad((m+1).toString(),s)+p),a=0;for(let p=0;p<i.length;p++)a=Math.max(i[p].length,a);let u=i.slice(0,n-1),l=i.slice(n-1,n),c=i.slice(n);console.log(u.join( `
` )),console.log(t.split( `
` )[0]),console.log( ` % c $ { x . rightPad ( l [ 0 ] , a ) } ` ,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(c.join( `
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` ))}function Ak(r){return ml(r,()=>r.createProgram(),"Unable to create WebGLProgram.")}function $ k(r,t){if(vt(r,()=>r.linkProgram(t)),!B().get("ENGINE_COMPILE_ONLY")&&r.getProgramParameter(t,r.LINK_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function tg(r,t){if(vt(r,()=>r.validateProgram(t)),r.getProgramParameter(t,r.VALIDATE_STATUS)===!1)throw console.log(r.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function Dk(r,t){let e=ml(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return vt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),vt(r,()=>r.bufferData(r.ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function Fk(r,t){let e=ml(r,()=>r.createBuffer(),"Unable to create WebGLBuffer");return vt(r,()=>r.bindBuffer(r.ELEMENT_ARRAY_BUFFER,e)),vt(r,()=>r.bufferData(r.ELEMENT_ARRAY_BUFFER,t,r.STATIC_DRAW)),e}function qQ(){return B().getNumber("WEBGL_VERSION")===2?1:4}function Rk(r){return ml(r,()=>r.createTexture(),"Unable to create WebGLTexture.")}function Ok(r,t){let e=B().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(r<=0||t<=0){let n= ` [ $ { r } x$ { t } ] ` ;throw new Error("Requested texture size "+n+" is invalid.")}if(r>e||t>e){let n= ` [ $ { r } x$ { t } ] ` ,o= ` [ $ { e } x$ { e } ] ` ;throw new Error("Requested texture size "+n+" greater than WebGL maximum on this browser / GPU "+o+".")}}function Lk(r){return ml(r,()=>r.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function Tw(r,t,e,n,o,s,i){let a=r.getAttribLocation(t,e);return a===-1?!1:(vt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,n)),vt(r,()=>r.vertexAttribPointer(a,o,r.FLOAT,!1,s,i)),vt(r,()=>r.enableVertexAttribArray(a)),!0)}function jL(r,t,e){YL(r,e),vt(r,()=>r.activeTexture(r.TEXTURE0+e)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,t))}function KQ(r,t){YL(r,t),vt(r,()=>r.activeTexture(r.TEXTURE0+t)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function Pk(r,t,e){return ml(r,()=>r.getUniformLocation(t,e),'uniform "'+e+'" not present in program.')}function Mk(r,t,e){return r.getUniformLocation(t,e)}function zk(r,t,e,n){vt(r,()=>jL(r,t,n)),vt(r,()=>r.uniform1i(e,n))}function jQ(r){vt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,null)),vt(r,()=>r.viewport(0,0,r.canvas.width,r.canvas.height)),vt(r,()=>r.scissor(0,0,r.canvas.width,r.canvas.height))}function eg(r,t,e){vt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,e)),vt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,t,0))}function _w(r,t){vt(r,()=>r.bindFramebuffer(r.FRAMEBUFFER,t)),vt(r,()=>r.framebufferTexture2D(r.FRAMEBUFFER,r.COLOR_ATTACHMENT0,r.TEXTURE_2D,null,0))}function yd(r){let t=r.checkFramebufferStatus(r.FRAMEBUFFER);if(t!==r.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+XL(r,t))}function XL(r,t){switch(t){case r.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case r.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case r.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return ` unknown error $ { t } ` }}function ml(r,t,e){let n=vt(r,()=>t());if(n==null)throw new Error(e);return n}function YL(r,t){let e=r.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,n=t+r.TEXTURE0;if(n<r.TEXTURE0||n>e){let o= ` [ gl . TEXTURE0 , gl . TEXTURE$ { e } ] ` ;throw new Error( ` textureUnit must be in $ { o } . ` )}}function fl(r,t=2){return x.sizeFromShape(r.slice(0,r.length-t))}function dl(r){if(r.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[r.length>1?r[r.length-2]:1,r[r.length-1]]}function rg(r){let t=[1,1,1];return r.length===0||r.length===1&&r[0]===1||(t=[fl(r),...dl(r)]),t}function Bk(r,t=!1){let e=B().getNumber("WEBGL_MAX_TEXTURE_SIZE");t&&(e=e*2,r=r.map((o,s)=>s>=r.length-2?x.nearestLargerEven(r[s]):r[s]),r.length===1&&(r=[2,r[0]])),r.length!==2&&(r=x.squeezeShape(r).newShape);let n=x.sizeFromShape(r);if(r.length<=1&&n<=e)return[1,n];if(r.length===2&&r[0]<=e&&r[1]<=e)return r;if(r.length===3&&r[0]*r[1]<=e&&r[2]<=e)return[r[0]*r[1],r[2]];if(r.length===3&&r[0]<=e&&r[1]*r[2]<=e)return[r[0],r[1]
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bool isnan _custom ( float val ) {
uint floatToUint = floatBitsToUint ( val ) ;
return ( floatToUint & 0x7fffffff u ) > 0x7f800000 u ;
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}
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bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan _custom ( val . x ) ,
isnan _custom ( val . y ) , isnan _custom ( val . z ) , isnan _custom ( val . w ) ) ;
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}
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# define isnan ( value ) isnan _custom ( value )
` ,u="",l= `
# define round ( value ) newRound ( value )
int newRound ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
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}
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ivec4 newRound ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
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}
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` ):(r="",t="attribute",e="varying",n="varying",o="texture2D",s="gl_FragColor",i="",a= `
# define isnan ( value ) isnan _custom ( value )
bool isnan _custom ( float val ) {
return ( val > 0. || val < 1. || val == 0. ) ? false : true ;
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}
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bvec4 isnan _custom ( vec4 val ) {
return bvec4 ( isnan ( val . x ) , isnan ( val . y ) , isnan ( val . z ) , isnan ( val . w ) ) ;
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}
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` ,u= `
uniform float INFINITY ;
bool isinf ( float val ) {
return abs ( val ) == INFINITY ;
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}
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bvec4 isinf ( vec4 val ) {
return equal ( abs ( val ) , vec4 ( INFINITY ) ) ;
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}
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` ,l= `
int round ( float value ) {
return int ( floor ( value + 0.5 ) ) ;
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}
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ivec4 round ( vec4 value ) {
return ivec4 ( floor ( value + vec4 ( 0.5 ) ) ) ;
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}
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` ),{version:r,attribute:t,varyingVs:e,varyingFs:n,texture2D:o,output:s,defineOutput:i,defineSpecialNaN:a,defineSpecialInf:u,defineRound:l}}function oi(r,t,e="index"){let n=x.computeStrides(t);return n.map((o,s)=>{let i= ` int $ { r [ s ] } = $ { e } / $ { o } ` ,a=s===n.length-1? ` int $ { r [ s + 1 ] } = $ { e } - $ { r [ s ] } * $ { o } ` : ` index -= $ { r [ s ] } * $ { o } ` ;return ` $ { i } ; $ { a } ; ` }).join("")}function Uc(r,t,e="index"){let n=x.computeStrides(t);return n.map((o,s)=>{let i= ` int $ { r [ s ] } = $ { e } / outShapeStrides [ $ { s } ] ` ,a=s===n.length-1? ` int $ { r [ s + 1 ] } = $ { e } - $ { r [ s ] } * outShapeStrides [ $ { s } ] ` : ` index -= $ { r [ s ] } * outShapeStrides [ $ { s } ] ` ;return ` $ { i } ; $ { a } ; ` }).join("")}function JQ(r,t){let e=r.length,n=r.map(s=> ` $ { t } [ $ { s } ] ` ),o=new Array(e-1);o[e-2]=n[e-1];for(let s=e-3;s>=0;--s)o[s]= ` ( $ { o [ s + 1 ] } * $ { n [ s + 1 ] } ) ` ;return o}function ZL(r,t,e="index"){let n=r.map((s,i)=>i),o=JQ(n,t);return o.map((s,i)=>{let a= ` int $ { r [ i ] } = $ { e } / $ { o [ i ] } ` ,u=i===o.length-1? ` int $ { r [ i + 1 ] } = $ { e } - $ { r [ i ] } * $ { o [ i ] } ` : ` index -= $ { r [ i ] } * $ { o [ i ] } ` ;return ` $ { a } ; $ { u } ; ` }).join("")}function wd(r){let t=x.computeStrides(r).map(e=>e.toString());return `
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int getFlatIndex ( ivec3 coords ) {
return coords . x * $ { t [ 0 ] } + coords . y * $ { t [ 1 ] } + coords . z ;
}
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` }function vd(){return `
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int getFlatIndex ( ivec3 coords ) {
return coords . x * outShapeStrides [ 0 ] + coords . y * outShapeStrides [ 1 ] + coords . z ;
}
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` }var Aw= `
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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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` ;var{getBroadcastDims:JL}=S;function QL(r,t,e){let n=[];if(r.forEach(f=>{let d=x.sizeFromShape(f.shapeInfo.logicalShape);if(f.shapeInfo.isUniform?n.push( ` uniform float $ { f . name } $ { d > 1 ? ` [ ${ d } ] ` : "" } ; ` ):(n.push( ` uniform sampler2D $ { f . name } ; ` ),n.push( ` uniform int offset$ { f . name } ; ` )),e.enableShapeUniforms){let{uniformShape:h}= $ w(e.packedInputs,f.shapeInfo.logicalShape,f.shapeInfo.texShape);switch(h.length){case 1:n.push( ` uniform int $ { f . name } Shape ; ` );break;case 2:n.push( ` uniform ivec2 $ { f . name } Shape ; ` );break;case 3:n.push( ` uniform ivec3 $ { f . name } Shape ; ` );break;case 4:n.push( ` uniform ivec4 $ { f . name } Shape ; ` );break;default:break}n.push( ` uniform ivec2 $ { f . name } TexShape ; ` )}}),e.enableShapeUniforms){switch(t.logicalShape.length){case 1:n.push("uniform int outShape;");break;case 2:n.push("uniform ivec2 outShape;"),n.push("uniform int outShapeStrides;");break;case 3:n.push("uniform ivec3 outShape;"),n.push("uniform ivec2 outShapeStrides;");break;case 4:n.push("uniform ivec4 outShape;"),n.push("uniform ivec3 outShapeStrides;");break;default:break}n.push("uniform ivec2 outTexShape;")}e.customUniforms&&e.customUniforms.forEach(f=>{n.push( ` uniform $ { f . type } $ { f . name } $ { f . arrayIndex ? ` [ ${ f . arrayIndex } ] ` : "" } ; ` )});let o=n.join( `
` ),s=r.map(f=>QQ(f,t,e.packedInputs,e.enableShapeUniforms)).join( `
` ),i=t.texShape,a=He(),u=rtt(a),l,c,p=stt(a);return t.isPacked?(l=ttt(t.logicalShape,i,e.enableShapeUniforms),c=ott(a)):(l=ett(t.logicalShape,i,e.enableShapeUniforms),c=ntt(a)),e.packedInputs&&(p+=utt),[p,u,c,o,l,s,e.userCode].join( `
` )}function Id(r,t=!1){let e=r.shapeInfo.logicalShape;switch(e.length){case 0:return vtt(r,t);case 1:return Itt(r,t);case 2:return Ntt(r,t);case 3:return Ttt(r,t);case 4:return Ett(r,t);case 5:return Att(r);case 6:return $ tt(r);default:throw new Error( ` $ { e . length } - D input sampling is not yet supported ` )}}function tP(r,t){switch(r.shapeInfo.logicalShape.length){case 0:return wtt(r);case 1:return Ctt(r,t);case 2:return Stt(r,t);case 3:return ktt(r,t);default:return _tt(r,t)}}function QQ(r,t,e=!1,n){let o="";e?o+=tP(r,n):o+=Id(r,n);let s=r.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(e?o+=Dtt(r,t):o+=Ftt(r,t)),o}function ttt(r,t,e){switch(r.length){case 0:return eP();case 1:return ctt(r,t,e);case 2:return ytt(r,t,e);case 3:return mtt(r,t,e);default:return dtt(r,t,e)}}function ett(r,t,e){switch(r.length){case 0:return eP();case 1:return ptt(r,t,e);case 2:return btt(r,t,e);case 3:return ftt(r,t,e);case 4:return htt(r,t,e);case 5:return gtt(r,t);case 6:return xtt(r,t);default:throw new Error( ` $ { r . length } - D output sampling is not yet supported ` )}}function rtt(r){return `
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float sampleTexture ( sampler2D textureSampler , vec2 uv ) {
return $ { r . texture2D } ( textureSampler , uv ) . r ;
}
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` }function ntt(r){return `
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void setOutput ( float val ) {
$ { r . output } = vec4 ( val , 0 , 0 , 0 ) ;
}
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` }function ott(r){return `
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void setOutput ( vec4 val ) {
$ { r . output } = val ;
}
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` }function stt(r){return ` $ { r . version }
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precision highp float ;
precision highp int ;
precision highp sampler2D ;
$ { r . varyingFs } vec2 resultUV ;
$ { r . defineOutput }
const vec2 halfCR = vec2 ( 0.5 , 0.5 ) ;
struct ivec5
{
int x ;
int y ;
int z ;
int w ;
int u ;
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} ;
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struct ivec6
{
int x ;
int y ;
int z ;
int w ;
int u ;
int v ;
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} ;
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uniform float NAN ;
$ { r . defineSpecialNaN }
$ { r . defineSpecialInf }
$ { r . defineRound }
int imod ( int x , int y ) {
return x - y * ( x / y ) ;
}
int idiv ( int a , int b , float sign ) {
int res = a / b ;
int mod = imod ( a , b ) ;
if ( sign < 0. && mod != 0 ) {
res -= 1 ;
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}
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return res ;
}
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//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
# define HASHSCALE1 443.8975
float random ( float seed ) {
vec2 p = resultUV * seed ;
vec3 p3 = fract ( vec3 ( p . xyx ) * HASHSCALE1 ) ;
p3 += dot ( p3 , p3 . yzx + 19.19 ) ;
return fract ( ( p3 . x + p3 . y ) * p3 . z ) ;
}
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$ { itt }
$ { att }
$ { ltt }
` }var itt= `
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vec2 uvFromFlat ( int texNumR , int texNumC , int index ) {
int texR = index / texNumC ;
int texC = index - texR * texNumC ;
return ( vec2 ( texC , texR ) + halfCR ) / vec2 ( texNumC , texNumR ) ;
}
vec2 packedUVfrom1D ( int texNumR , int texNumC , int index ) {
int texelIndex = index / 2 ;
int texR = texelIndex / texNumC ;
int texC = texelIndex - texR * texNumC ;
return ( vec2 ( texC , texR ) + halfCR ) / vec2 ( texNumC , texNumR ) ;
}
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` ,att= `
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vec2 packedUVfrom2D ( int texelsInLogicalRow , int texNumR ,
int texNumC , int row , int col ) {
int texelIndex = ( row / 2 ) * texelsInLogicalRow + ( col / 2 ) ;
int texR = texelIndex / texNumC ;
int texC = texelIndex - texR * texNumC ;
return ( vec2 ( texC , texR ) + halfCR ) / vec2 ( texNumC , texNumR ) ;
}
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` ,ltt= `
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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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` ,utt= `
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float getChannel ( vec4 frag , vec2 innerDims ) {
vec2 modCoord = mod ( innerDims , 2. ) ;
return modCoord . x == 0. ?
( modCoord . y == 0. ? frag . r : frag . g ) :
( modCoord . y == 0. ? frag . b : frag . a ) ;
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}
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float getChannel ( vec4 frag , int dim ) {
float modCoord = mod ( float ( dim ) , 2. ) ;
return modCoord == 0. ? frag . r : frag . g ;
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}
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` ;function eP(){return `
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int getOutputCoords ( ) {
return 0 ;
}
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` }function ctt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return n[0]===1?e? `
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int getOutputCoords ( ) {
return 2 * int ( resultUV . x * ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
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}
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` : `
int getOutputCoords ( ) {
return 2 * int ( resultUV . x * $ { n [ 1 ] } . 0 ) ;
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}
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` :n[1]===1?e? `
int getOutputCoords ( ) {
return 2 * int ( resultUV . y * ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) ) ;
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}
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` : `
int getOutputCoords ( ) {
return 2 * int ( resultUV . y * $ { n [ 0 ] } . 0 ) ;
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}
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` :e? `
int getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
return 2 * ( resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ) ;
}
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
return 2 * ( resTexRC . x * $ { n [ 1 ] } + resTexRC . y ) ;
}
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` }function ptt(r,t,e){return t[0]===1?e? `
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int getOutputCoords ( ) {
return int ( resultUV . x * float ( outTexShape [ 1 ] ) ) ;
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}
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` : `
int getOutputCoords ( ) {
return int ( resultUV . x * $ { t [ 1 ] } . 0 ) ;
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}
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` :t[1]===1?e? `
int getOutputCoords ( ) {
return int ( resultUV . y * float ( outTexShape [ 0 ] ) ) ;
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}
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` : `
int getOutputCoords ( ) {
return int ( resultUV . y * $ { t [ 0 ] } . 0 ) ;
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}
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` :e? `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
return resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
}
` : `
int getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
return resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
}
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` }function mtt(r,t,e){if(e)return `
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ivec3 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
int texelsInLogicalRow = int ( ceil ( float ( outShape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatch = texelsInLogicalRow * int ( ceil ( float ( outShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
int index = resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ;
int b = index / texelsInBatch ;
index -= b * texelsInBatch ;
int r = 2 * ( index / texelsInLogicalRow ) ;
int c = imod ( index , texelsInLogicalRow ) * 2 ;
return ivec3 ( b , r , c ) ;
}
` ;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[2]/2),s=o*Math.ceil(r[1]/2);return `
ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
int b = index / $ { s } ;
index -= b * $ { s } ;
int r = 2 * ( index / $ { o } ) ;
int c = imod ( index , $ { o } ) * 2 ;
return ivec3 ( b , r , c ) ;
}
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` }function ftt(r,t,e){if(e)return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
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$ { Uc ( [ "r" , "c" , "d" ] , r ) }
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return ivec3 ( r , c , d ) ;
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}
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` ;let n=oi(["r","c","d"],r);return `
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ivec3 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
return ivec3 ( r , c , d ) ;
}
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` }function dtt(r,t,e){if(e)return `
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ivec4 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
int index = resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ;
int texelsInLogicalRow = int ( ceil ( float ( outShape [ 3 ] ) / 2.0 ) ) ;
int texelsInBatch = texelsInLogicalRow * int ( ceil ( float ( outShape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatchN = texelsInBatch * outShape [ 1 ] ;
int b2 = index / texelsInBatchN ;
index -= b2 * texelsInBatchN ;
int b = index / texelsInBatch ;
index -= b * texelsInBatch ;
int r = 2 * ( index / texelsInLogicalRow ) ;
int c = imod ( index , texelsInLogicalRow ) * 2 ;
return ivec4 ( b2 , b , r , c ) ;
}
` ;let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],o=Math.ceil(r[r.length-1]/2),s=o*Math.ceil(r[r.length-2]/2),i=s,a="",u="b, r, c";for(let l=2;l<r.length-1;l++)i*=r[r.length-l-1],a= `
int b$ { l } = index / $ { i } ;
index -= b$ { l } * $ { i } ;
` +a,u= ` b$ { l } , ` +u;return `
ivec$ { r . length } getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
$ { a }
int b = index / $ { s } ;
index -= b * $ { s } ;
int r = 2 * ( index / $ { o } ) ;
int c = imod ( index , $ { o } ) * 2 ;
return ivec$ { r . length } ( $ { u } ) ;
}
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` }function htt(r,t,e){if(e)return `
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ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
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$ { Uc ( [ "r" , "c" , "d" , "d2" ] , r ) }
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return ivec4 ( r , c , d , d2 ) ;
}
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` ;let n=oi(["r","c","d","d2"],r);return `
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ivec4 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { n }
return ivec4 ( r , c , d , d2 ) ;
}
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` }function gtt(r,t){let e=oi(["r","c","d","d2","d3"],r);return `
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ivec5 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } ,
$ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { e }
ivec5 outShape = ivec5 ( r , c , d , d2 , d3 ) ;
return outShape ;
}
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` }function xtt(r,t){let e=oi(["r","c","d","d2","d3","d4"],r);return `
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ivec6 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
$ { e }
ivec6 result = ivec6 ( r , c , d , d2 , d3 , d4 ) ;
return result ;
}
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` }function ytt(r,t,e){let n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(x.arraysEqual(r,t))return e? `
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ivec2 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
return 2 * ivec2 ( resultUV . yx * vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
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}
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` : `
ivec2 getOutputCoords ( ) {
return 2 * ivec2 ( resultUV . yx * vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
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}
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` ;let o=Math.ceil(r[1]/2);return e? `
ivec2 getOutputCoords ( ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( outTexShape [ 0 ] ) / 2.0 ) , ceil ( float ( outTexShape [ 1 ] ) / 2.0 ) ) ;
int texelsInLogicalRow = int ( ceil ( float ( outShape [ 1 ] ) / 2.0 ) ) ;
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( packedTexShape [ 0 ] , packedTexShape [ 1 ] ) ) ;
int index = resTexRC . x * packedTexShape [ 1 ] + resTexRC . y ;
int r = 2 * ( index / texelsInLogicalRow ) ;
int c = imod ( index , texelsInLogicalRow ) * 2 ;
return ivec2 ( r , c ) ;
}
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { n [ 0 ] } , $ { n [ 1 ] } ) ) ;
int index = resTexRC . x * $ { n [ 1 ] } + resTexRC . y ;
int r = 2 * ( index / $ { o } ) ;
int c = imod ( index , $ { o } ) * 2 ;
return ivec2 ( r , c ) ;
}
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` }function btt(r,t,e){return x.arraysEqual(r,t)?e? `
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ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
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}
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` : `
ivec2 getOutputCoords ( ) {
return ivec2 ( resultUV . yx * vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
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}
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` :r[1]===1?e? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
return ivec2 ( index , 0 ) ;
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}
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` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( index , 0 ) ;
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}
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` :r[0]===1?e? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
return ivec2 ( 0 , index ) ;
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}
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` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
return ivec2 ( 0 , index ) ;
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}
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` :e? `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( outTexShape [ 0 ] , outTexShape [ 1 ] ) ) ;
int index = resTexRC . x * outTexShape [ 1 ] + resTexRC . y ;
int r = index / outShape [ 1 ] ;
int c = index - r * outShape [ 1 ] ;
return ivec2 ( r , c ) ;
}
` : `
ivec2 getOutputCoords ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx *
vec2 ( $ { t [ 0 ] } , $ { t [ 1 ] } ) ) ;
int index = resTexRC . x * $ { t [ 1 ] } + resTexRC . y ;
int r = index / $ { r [ 1 ] } ;
int c = index - r * $ { r [ 1 ] } ;
return ivec2 ( r , c ) ;
}
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` }function Hc(r){return ` offset$ { r } ` }function wtt(r){let t=r.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),n=He();return `
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vec4 $ { e } ( ) {
return $ { n . texture2D } ( $ { t } , halfCR ) ;
}
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` }function vtt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return ` float $ { n } ( ) { return $ { e } ; } ` ;let[o,s]=r.shapeInfo.texShape;if(o===1&&s===1)return `
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float $ { n } ( ) {
return sampleTexture ( $ { e } , halfCR ) ;
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}
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` ;let i=Hc(e);if(t)return `
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float $ { n } ( ) {
vec2 uv = uvFromFlat ( $ { e } TexShape [ 0 ] , $ { e } TexShape [ 1 ] , $ { i } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` ;let[a,u]=r.shapeInfo.texShape;return `
float $ { n } ( ) {
vec2 uv = uvFromFlat ( $ { a } , $ { u } , $ { i } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
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` }function Ctt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=r.shapeInfo.texShape,s=He();if(t)return `
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vec4 $ { n } ( int index ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { e } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { e } TexShape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom1D (
packedTexShape [ 0 ] , packedTexShape [ 1 ] , index ) ;
return $ { s . texture2D } ( $ { e } , uv ) ;
}
` ;let i=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];return `
vec4 $ { n } ( int index ) {
vec2 uv = packedUVfrom1D (
$ { i [ 0 ] } , $ { i [ 1 ] } , index ) ;
return $ { s . texture2D } ( $ { e } , uv ) ;
}
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` }function Itt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(r.shapeInfo.isUniform)return `
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float $ { n } ( int index ) {
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$ { Sd ( r ) }
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}
` ;let o=r.shapeInfo.texShape,s=o[0],i=o[1];if(i===1&&s===1)return `
float $ { n } ( int index ) {
return sampleTexture ( $ { e } , halfCR ) ;
}
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` ;let a=Hc(e);return i===1?t? `
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float $ { n } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { a } ) + 0.5 ) / float ( $ { e } TexShape [ 0 ] ) ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` : `
float $ { n } ( int index ) {
vec2 uv = vec2 ( 0.5 , ( float ( index + $ { a } ) + 0.5 ) / $ { s } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` :s===1?t? `
float $ { n } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { a } ) + 0.5 ) / float ( $ { e } TexShape [ 1 ] ) , 0.5 ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` : `
float $ { n } ( int index ) {
vec2 uv = vec2 ( ( float ( index + $ { a } ) + 0.5 ) / $ { i } . 0 , 0.5 ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` :t? `
float $ { n } ( int index ) {
vec2 uv = uvFromFlat ( $ { e } TexShape [ 0 ] , $ { e } TexShape [ 1 ] , index + $ { a } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
` : `
float $ { n } ( int index ) {
vec2 uv = uvFromFlat ( $ { s } , $ { i } , index + $ { a } ) ;
return sampleTexture ( $ { e } , uv ) ;
}
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` }function Stt(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape,i=s[0],a=s[1],u=He();if(s!=null&&x.arraysEqual(e,s))return t? `
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vec4 $ { o } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return $ { u . texture2D } ( $ { n } , uv ) ;
}
` : `
vec4 $ { o } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { a } . 0 , $ { i } . 0 ) ;
return $ { u . texture2D } ( $ { n } , uv ) ;
}
` ;if(t)return `
vec4 $ { o } ( int row , int col ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { n } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { n } TexShape [ 1 ] ) / 2.0 ) ) ;
int valuesPerRow = int ( ceil ( float ( $ { n } Shape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom2D ( valuesPerRow , packedTexShape [ 0 ] , packedTexShape [ 1 ] , row , col ) ;
return $ { u . texture2D } ( $ { n } , uv ) ;
}
` ;let l=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],c=Math.ceil(e[1]/2);return `
vec4 $ { o } ( int row , int col ) {
vec2 uv = packedUVfrom2D ( $ { c } , $ { l [ 0 ] } , $ { l [ 1 ] } , row , col ) ;
return $ { u . texture2D } ( $ { n } , uv ) ;
}
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` }function Ntt(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape;if(s!=null&&x.arraysEqual(e,s)){if(t)return `
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float $ { o } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` ;let m=s[0],f=s[1];return `
float $ { o } ( int row , int col ) {
vec2 uv = ( vec2 ( col , row ) + halfCR ) / vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }let{newShape:i,keptDims:a}=x.squeezeShape(e),u=i;if(u.length<e.length){let m=Nd(r,u),f=["row","col"];return `
$ { Id ( m , t ) }
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float $ { o } ( int row , int col ) {
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return $ { o } ( $ { kd ( f , a ) } ) ;
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}
` }if(r.shapeInfo.isUniform)return `
float $ { o } ( int row , int col ) {
int index = round ( dot ( vec2 ( row , col ) , vec2 ( $ { e [ 1 ] } , 1 ) ) ) ;
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$ { Sd ( r ) }
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}
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` ;let l=s[0],c=s[1],p=Hc(n);return c===1?t? `
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float $ { o } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { p } ) , vec3 ( $ { n } Shape [ 1 ] , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / float ( $ { n } TexShape [ 0 ] ) ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { o } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { p } ) , vec3 ( $ { e [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( 0.5 , ( index + 0.5 ) / $ { l } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` :l===1?t? `
float $ { o } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { p } ) , vec3 ( $ { n } Shape [ 1 ] , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / float ( $ { n } TexShape [ 1 ] ) , 0.5 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { o } ( int row , int col ) {
float index = dot ( vec3 ( row , col , $ { p } ) , vec3 ( $ { e [ 1 ] } , 1 , 1 ) ) ;
vec2 uv = vec2 ( ( index + 0.5 ) / $ { c } . 0 , 0.5 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` :t? `
float $ { o } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { n } Shape [ 1 ] + col + $ { p } ;
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , index ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( int row , int col ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { e [ 1 ] } + col + $ { p } ;
vec2 uv = uvFromFlat ( $ { l } , $ { c } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function ktt(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=r.shapeInfo.texShape,i=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)];if(e[0]===1){let m=e.slice(1),f=[1,2],d=Nd(r,m),h=["b","row","col"];return `
$ { tP ( d , t ) }
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vec4 $ { o } ( int b , int row , int col ) {
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return $ { o } ( $ { kd ( h , f ) } ) ;
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}
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` }let a=He();if(t)return `
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vec4 $ { o } ( int b , int row , int col ) {
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { n } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { n } TexShape [ 1 ] ) / 2.0 ) ) ;
int valuesPerRow = int ( ceil ( float ( $ { n } Shape [ 2 ] ) / 2.0 ) ) ;
int texelsInBatch = valuesPerRow * int ( ceil ( float ( $ { n } Shape [ 1 ] ) / 2.0 ) ) ;
vec2 uv = packedUVfrom3D (
packedTexShape [ 0 ] , packedTexShape [ 1 ] , texelsInBatch , valuesPerRow , b , row , col ) ;
return $ { a . texture2D } ( $ { n } , uv ) ;
}
` ;let u=i[0],l=i[1],c=Math.ceil(e[2]/2),p=c*Math.ceil(e[1]/2);return `
vec4 $ { o } ( int b , int row , int col ) {
vec2 uv = packedUVfrom3D (
$ { u } , $ { l } , $ { p } , $ { c } , b , row , col ) ;
return $ { a . texture2D } ( $ { n } , uv ) ;
}
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` }function Ttt(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e[1]*e[2],i=e[2],{newShape:a,keptDims:u}=x.squeezeShape(e),l=a;if(l.length<e.length){let h=Nd(r,l),g=["row","col","depth"];return `
$ { Id ( h , t ) }
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float $ { o } ( int row , int col , int depth ) {
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return $ { o } ( $ { kd ( g , u ) } ) ;
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}
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` }if(r.shapeInfo.isUniform)return `
float $ { o } ( int row , int col , int depth ) {
int index = round ( dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { s } , $ { i } , 1 ) ) ) ;
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$ { Sd ( r ) }
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}
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` ;let c=r.shapeInfo.texShape,p=c[0],m=c[1],f=r.shapeInfo.flatOffset;if(m===s&&f==null)return t? `
float $ { o } ( int row , int col , int depth ) {
int stride1 = $ { n } Shape [ 2 ] ;
float texR = float ( row ) ;
float texC = dot ( vec2 ( col , depth ) , vec2 ( stride1 , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( int row , int col , int depth ) {
float texR = float ( row ) ;
float texC = dot ( vec2 ( col , depth ) , vec2 ( $ { i } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { m } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(m===i&&f==null)return t? `
float $ { o } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { n } Shape [ 1 ] , 1 ) ) ;
float texC = float ( depth ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( int row , int col , int depth ) {
float texR = dot ( vec2 ( row , col ) , vec2 ( $ { e [ 1 ] } , 1 ) ) ;
float texC = float ( depth ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { m } . 0 , $ { p } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` ;let d=Hc(n);return t? `
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float $ { o } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
int stride0 = $ { n } Shape [ 1 ] * $ { n } Shape [ 2 ] ;
int stride1 = $ { n } Shape [ 2 ] ;
int index = row * $ { s } + col * $ { i } + depth + $ { d } ;
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { o } ( int row , int col , int depth ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { s } + col * $ { i } + depth + $ { d } ;
vec2 uv = uvFromFlat ( $ { p } , $ { m } , index ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function _tt(r,t){let e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=He();if(t)return `
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vec4 $ { n } ( int b2 , int b , int row , int col ) {
int valuesPerRow = int ( ceil ( float ( $ { e } Shape [ 3 ] ) / 2.0 ) ) ;
int texelsInBatch = valuesPerRow * int ( ceil ( float ( $ { e } Shape [ 2 ] ) / 2.0 ) ) ;
int index = b * texelsInBatch + ( row / 2 ) * valuesPerRow + ( col / 2 ) ;
texelsInBatch *= $ { e } Shape [ 1 ] ;
index = b2 * texelsInBatch + index ;
ivec2 packedTexShape = ivec2 ( ceil ( float ( $ { e } TexShape [ 0 ] ) / 2.0 ) , ceil ( float ( $ { e } TexShape [ 1 ] ) / 2.0 ) ) ;
int texR = index / packedTexShape [ 1 ] ;
int texC = index - texR * packedTexShape [ 1 ] ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( packedTexShape [ 1 ] , packedTexShape [ 0 ] ) ; return $ { o . texture2D } ( $ { e } , uv ) ;
}
` ;let s=r.shapeInfo.logicalShape,i=s.length,a=r.shapeInfo.texShape,u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],l=u[0],c=u[1],p=Math.ceil(s[i-1]/2),m=p*Math.ceil(s[i-2]/2),f="int b, int row, int col",d= ` b * $ { m } + ( row / 2 ) * $ { p } + ( col / 2 ) ` ;for(let h=2;h<i-1;h++)f= ` int b$ { h } , ` +f,m*=s[i-h-1],d= ` b$ { h } * $ { m } + ` +d;return `
vec4 $ { n } ( $ { f } ) {
int index = $ { d } ;
int texR = index / $ { c } ;
int texC = index - texR * $ { c } ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { c } , $ { l } ) ;
return $ { o . texture2D } ( $ { e } , uv ) ;
}
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` }function Ett(r,t){let e=r.shapeInfo.logicalShape,n=r.name,o="get"+n.charAt(0).toUpperCase()+n.slice(1),s=e[3],i=e[2]*s,a=e[1]*i,{newShape:u,keptDims:l}=x.squeezeShape(e);if(u.length<e.length){let b=Nd(r,u),w=["row","col","depth","depth2"];return `
$ { Id ( b , t ) }
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float $ { o } ( int row , int col , int depth , int depth2 ) {
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return $ { o } ( $ { kd ( w , l ) } ) ;
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}
` }if(r.shapeInfo.isUniform)return `
float $ { o } ( int row , int col , int depth , int depth2 ) {
int index = round ( dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { a } , $ { i } , $ { s } , 1 ) ) ) ;
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$ { Sd ( r ) }
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}
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` ;let c=r.shapeInfo.flatOffset,p=r.shapeInfo.texShape,m=p[0],f=p[1],d= ` int stride2 = $ { n } Shape [ 3 ] ; ` ,h= ` int stride1 = $ { n } Shape [ 2 ] * stride2 ; ` ,g= ` int stride0 = $ { n } Shape [ 1 ] * stride1 ; ` ;if(f===a&&c==null)return t? `
float $ { o } ( int row , int col , int depth , int depth2 ) {
$ { d }
$ { h }
float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
vec3 ( stride1 , stride2 , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( int row , int col , int depth , int depth2 ) {
float texR = float ( row ) ;
float texC =
dot ( vec3 ( col , depth , depth2 ) ,
vec3 ( $ { i } , $ { s } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;if(f===s&&c==null)return t? `
float $ { o } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { n } Shape [ 1 ] * $ { n } Shape [ 2 ] , $ { n } Shape [ 2 ] , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { n } TexShape [ 1 ] , $ { n } TexShape [ 0 ] ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` : `
float $ { o } ( int row , int col , int depth , int depth2 ) {
float texR = dot ( vec3 ( row , col , depth ) ,
vec3 ( $ { e [ 1 ] * e [ 2 ] } , $ { e [ 2 ] } , 1 ) ) ;
float texC = float ( depth2 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { n } , uv ) ;
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}
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` ;let y=Hc(n);return t? `
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float $ { o } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
$ { d }
$ { h }
$ { g }
int index = row * stride0 + col * stride1 +
depth * stride2 + depth2 ;
vec2 uv = uvFromFlat ( $ { n } TexShape [ 0 ] , $ { n } TexShape [ 1 ] , index + $ { y } ) ;
return sampleTexture ( $ { n } , uv ) ;
}
` : `
float $ { o } ( int row , int col , int depth , int depth2 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { a } + col * $ { i } +
depth * $ { s } + depth2 ;
vec2 uv = uvFromFlat ( $ { m } , $ { f } , index + $ { y } ) ;
return sampleTexture ( $ { n } , uv ) ;
}
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` }function Att(r){let t=r.shapeInfo.logicalShape,e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),o=t[4],s=t[3]*o,i=t[2]*s,a=t[1]*i,{newShape:u,keptDims:l}=x.squeezeShape(t);if(u.length<t.length){let h=Nd(r,u),g=["row","col","depth","depth2","depth3"];return `
$ { Id ( h ) }
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float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
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return $ { n } ( $ { kd ( g , l ) } ) ;
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}
` }if(r.shapeInfo.isUniform)return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
float index = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { a } , $ { i } , $ { s } , $ { o } ) ) +
depth3 ;
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$ { Sd ( r ) }
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}
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` ;let c=r.shapeInfo.flatOffset,p=r.shapeInfo.texShape,m=p[0],f=p[1];if(f===a&&c==null)return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
vec4 ( $ { i } , $ { s } , $ { o } , 1 ) ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
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}
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` ;if(f===o&&c==null)return `
float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
float texR = dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] } ,
$ { t [ 2 ] * t [ 3 ] } , $ { t [ 3 ] } , 1 ) ) ;
int texC = depth3 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { f } . 0 , $ { m } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
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}
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` ;let d=Hc(e);return `
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float $ { n } ( int row , int col , int depth , int depth2 , int depth3 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { a } + col * $ { i } + depth * $ { s } +
depth2 * $ { o } + depth3 + $ { d } ;
vec2 uv = uvFromFlat ( $ { m } , $ { f } , index ) ;
return sampleTexture ( $ { e } , uv ) ;
}
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` }function $ tt(r){let t=r.shapeInfo.logicalShape,e=r.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),{newShape:o,keptDims:s}=x.squeezeShape(t);if(o.length<t.length){let g=Nd(r,o),y=["row","col","depth","depth2","depth3","depth4"];return `
$ { Id ( g ) }
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float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
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return $ { n } ( $ { kd ( y , s ) } ) ;
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}
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` }let i=t[5],a=t[4]*i,u=t[3]*a,l=t[2]*u,c=t[1]*l;if(r.shapeInfo.isUniform)return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int index = round ( dot (
vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { c } , $ { l } , $ { u } , $ { a } ) ) +
dot (
vec2 ( depth3 , depth4 ) ,
vec2 ( $ { i } , 1 ) ) ) ;
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$ { Sd ( r ) }
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}
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` ;let p=r.shapeInfo.flatOffset,m=r.shapeInfo.texShape,f=m[0],d=m[1];if(d===c&&p==null)return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
int texR = row ;
float texC = dot ( vec4 ( col , depth , depth2 , depth3 ) ,
vec4 ( $ { l } , $ { u } , $ { a } , $ { i } ) ) +
float ( depth4 ) ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { d } . 0 , $ { f } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
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}
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` ;if(d===i&&p==null)return `
float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
float texR = dot ( vec4 ( row , col , depth , depth2 ) ,
vec4 ( $ { t [ 1 ] * t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 2 ] * t [ 3 ] * t [ 4 ] } ,
$ { t [ 3 ] * t [ 4 ] } ,
$ { t [ 4 ] } ) ) + float ( depth3 ) ;
int texC = depth4 ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { d } . 0 , $ { f } . 0 ) ;
return sampleTexture ( $ { e } , uv ) ;
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}
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` ;let h=Hc(e);return `
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float $ { n } ( int row , int col , int depth ,
int depth2 , int depth3 , int depth4 ) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * $ { c } + col * $ { l } + depth * $ { u } +
depth2 * $ { a } + depth3 * $ { i } + depth4 + $ { h } ;
vec2 uv = uvFromFlat ( $ { f } , $ { d } , index ) ;
return sampleTexture ( $ { e } , uv ) ;
}
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` }function Sd(r){let t=r.name,e=x.sizeFromShape(r.shapeInfo.logicalShape);return e<2? ` return $ { t } ; ` : `
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for ( int i = 0 ; i < $ { e } ; i ++ ) {
if ( i == index ) {
return $ { t } [ i ] ;
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}
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}
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` }function Dtt(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o="get"+n+"AtOutCoords",s=r.shapeInfo.logicalShape.length,i=t.logicalShape.length,a=JL(r.shapeInfo.logicalShape,t.logicalShape),u=Wt(i),l=i-s,c,p=["x","y","z","w","u","v"];s===0?c="":i<2&&a.length>=1?c="coords = 0;":c=a.map(b=> ` coords . $ { p [ b + l ] } = 0 ; ` ).join( `
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` );let m="";i<2&&s>0?m="coords":m=r.shapeInfo.logicalShape.map((b,w)=> ` coords . $ { p [ w + l ] } ` ).join(", ");let f="return outputValue;",h=x.sizeFromShape(r.shapeInfo.logicalShape)===1,y=x.sizeFromShape(t.logicalShape)===1;if(s===1&&!h&&!y)f= `
return vec4 ( outputValue . xy , outputValue . xy ) ;
` ;else if(h&&!y)i===1?f= `
return vec4 ( outputValue . x , outputValue . x , 0. , 0. ) ;
` :f= `
return vec4 ( outputValue . x ) ;
` ;else if(a.length){let b=s-2,w=s-1;a.indexOf(b)>-1&&a.indexOf(w)>-1?f="return vec4(outputValue.x);":a.indexOf(b)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":a.indexOf(w)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}return `
vec4 $ { o } ( ) {
$ { u } coords = getOutputCoords ( ) ;
$ { c }
vec4 outputValue = get$ { n } ( $ { m } ) ;
$ { f }
}
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` }function Ftt(r,t){let e=r.name,n=e.charAt(0).toUpperCase()+e.slice(1),o="get"+n+"AtOutCoords",s=t.texShape,i=r.shapeInfo.texShape,a=r.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!r.shapeInfo.isUniform&&a===u&&r.shapeInfo.flatOffset==null&&x.arraysEqual(i,s))return `
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float $ { o } ( ) {
return sampleTexture ( $ { e } , resultUV ) ;
}
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` ;let l=Wt(u),c=JL(r.shapeInfo.logicalShape,t.logicalShape),p=u-a,m,f=["x","y","z","w","u","v"];a===0?m="":u<2&&c.length>=1?m="coords = 0;":m=c.map(h=> ` coords . $ { f [ h + p ] } = 0 ; ` ).join( `
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` );let d="";return u<2&&a>0?d="coords":d=r.shapeInfo.logicalShape.map((h,g)=> ` coords . $ { f [ g + p ] } ` ).join(", "), `
float $ { o } ( ) {
$ { l } coords = getOutputCoords ( ) ;
$ { m }
return get$ { n } ( $ { d } ) ;
}
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` }function Wt(r){if(r<=1)return"int";if(r===2)return"ivec2";if(r===3)return"ivec3";if(r===4)return"ivec4";if(r===5)return"ivec5";if(r===6)return"ivec6";throw Error( ` GPU for rank $ { r } is not yet supported ` )}function $ w(r,t,e){let{newShape:n,keptDims:o}=x.squeezeShape(t),s=t.length,i=r&&s===3&&t[0]===1,a=i?t.slice(1):n,u=!r&&s>1&&!x.arraysEqual(t,e)&&n.length<s||i;return{useSqueezeShape:u,uniformShape:u?a:t,keptDims:o}}function Nd(r,t){let e=JSON.parse(JSON.stringify(r));return e.shapeInfo.logicalShape=t,e}function kd(r,t){return t.map(e=>r[e]).join(", ")}function nP(r,t,e,n){let o=e.map((c,p)=>{let m={logicalShape:c.shape,texShape:c.isUniform?null:c.texData.texShape,isUniform:c.isUniform,isPacked:c.isUniform?!1:c.texData.isPacked,flatOffset:null};return c.texData!=null&&c.texData.slice!=null&&c.texData.slice.flatOffset>0&&(m.flatOffset=c.texData.slice.flatOffset),{name:t.variableNames[p],shapeInfo:m}}),s=o.map(c=>c.shapeInfo),i={logicalShape:n.shape,texShape:n.texData.texShape,isUniform:!1,isPacked:n.texData.isPacked,flatOffset:null},a=QL(o,i,t),u=Ek(r.gl,a),l=r.createProgram(u);return B().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:u,source:a,webGLProgram:l,inShapeInfos:s,outShapeInfo:i},Kk(r,t,l))}function Kk(r,t,e){let n={},o={},s={},i=[],a,u,l,c=null,p=null;p=r.getUniformLocation(e,"NAN",!1),B().getNumber("WEBGL_VERSION")===1&&(c=r.getUniformLocation(e,"INFINITY",!1));let m=!1;for(let f=0;f<t.variableNames.length;f++){let d=t.variableNames[f];n[d]=r.getUniformLocation(e,d,m),n[ ` offset$ { d } ` ]=r.getUniformLocation(e, ` offset$ { d } ` ,m),t.enableShapeUniforms&&(o[ ` $ { d } Shape ` ]=r.getUniformLocation(e, ` $ { d } Shape ` ,m),s[ ` $ { d } TexShape ` ]=r.getUniformLocation(e, ` $ { d } TexShape ` ,m))}return t.enableShapeUniforms&&(a=r.getUniformLocation(e,"outShape",m),l=r.getUniformLocation(e,"outShapeStrides",m),u=r.getUniformLocation(e,"outTexShape",m)),t.customUniforms&&t.customUniforms.forEach((f,d)=>{i[d]=r.getUniformLocation(e,f.name,m)}),{uniformLocations:n,customUniformLocations:i,infLoc:c,nanLoc:p,inShapesLocations:o,inTexShapesLocations:s,outShapeLocation:a,outShapeStridesLocation:l,outTexShapeLocation:u}}function rP(r,t){if(r.length!==t.length)throw Error( ` Binary was compiled with $ { r . length } inputs , but was executed with $ { t . length } inputs ` );r.forEach((e,n)=>{let o=e.logicalShape,s=t[n],i=s.shape;if(!x.arraysEqual(o,i))throw Error( ` Binary was compiled with different shapes than the current args . Shapes $ { o } and $ { i } must match ` );if(e.isUniform&&s.isUniform)return;let a=e.texShape,u=s.isUniform?null:s.texData.texShape;if(!x.arraysEqual(a,u))throw Error( ` Binary was compiled with different texture shapes than the current args . Shape $ { a } and $ { u } must match ` )})}function oP(r,t,e,n,o){t.program.enableShapeUniforms||(rP(t.inShapeInfos,e),rP([t.outShapeInfo],[n]));let s=n.texData.texture,i=n.texData.texShape;n.texData.isPacked?r.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):r.setOutputMatrixTexture(s.texture,i[0],i[1]),r.setProgram(t.webGLProgram),B().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&r.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&r.gl.uniform1f(t.nanLoc,NaN),e.forEach((u,l)=>{let c=t.program.variableNames[l],p=t.uniformLocations[c],m=t.uniformLocations[ ` offset$ { c } ` ],f=t.inShapesLocations[ ` $ { c } Shape ` ],d=t.inTexShapesLocations[ ` $ { c } TexShape ` ];if(f){let{uniformShape:h}= $ w(t.program.packedInputs,u.shape,u.texData.texShape);switch(h.length){case 1:r.gl.uniform1iv(f,new Int32Array(h));break;case 2:r.gl.uniform2iv(f,new Int32Array(h));break;case 3:r.gl.uniform3iv(f,new Int32Array(h));break;case 4:r.gl.uniform4iv(f,new Int32Array(h));break;default:break}}if(d&&r.gl.uniform2i(d,u.texData.texShape[0],u.texData.texShape[1]),p!=null){if(u.isUniform){if(x.sizeFromShape(u.shape)<2)r.gl.uniform1f(p,u.uniformValues[0]);else{let h=u.uniformValu
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { this . enableShapeUniforms ? Uc ( [ "r" , "c" , "d" ] , t ) : oi ( [ "r" , "c" , "d" ] , t ) }
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return ivec3 ( r , c , d ) ;
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}
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void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( texShape [ 0 ] , texShape [ 1 ] ) ) ;
int index = 4 * ( resTexRC . x * texShape [ 1 ] + resTexRC . y ) ;
vec4 result = vec4 ( 0. ) ;
for ( int i = 0 ; i < 4 ; i ++ ) {
int flatIndex = index + i ;
ivec3 rc = outCoordsFromFlatIndex ( flatIndex ) ;
result [ i ] = getA ( rc . x , rc . y , rc . z ) ;
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}
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$ { e . output } = result ;
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}
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` }};var Fw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Su.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let e=He();this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length),this.userCode= `
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ivec3 outCoordsFromFlatIndex ( int index ) {
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$ { this . enableShapeUniforms ? Uc ( [ "r" , "c" , "d" ] , t ) : oi ( [ "r" , "c" , "d" ] , t ) }
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return ivec3 ( r , c , d ) ;
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}
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void main ( ) {
ivec2 resTexRC = ivec2 ( resultUV . yx * vec2 ( texShape [ 0 ] , texShape [ 1 ] ) ) ;
int index = 4 * ( resTexRC . x * texShape [ 1 ] + resTexRC . y ) ;
vec4 result = vec4 ( 0. ) ;
for ( int i = 0 ; i < 4 ; i ++ ) {
int flatIndex = index + i ;
ivec3 rc = outCoordsFromFlatIndex ( flatIndex ) ;
result [ i ] = getChannel ( getA ( rc . x , rc . y , rc . z ) , vec2 ( rc . y , rc . z ) ) ;
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}
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$ { e . output } = result ;
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}
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` }};var Rw=class{constructor(t){this.variableNames=["A"],this.outTexUsage=Hr.DOWNLOAD;let e=He();this.outputShape=t,this.userCode= `
$ { Aw }
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void main ( ) {
float x = getAAtOutCoords ( ) ;
$ { e . output } = encode _float ( x ) ;
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}
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` }};var Ow=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Hr.DOWNLOAD;let e=He();this.outputShape=t,this.userCode= `
$ { Aw }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
float x = getChannel ( getAAtOutCoords ( ) , vec2 ( coords . y , coords . z ) ) ;
$ { e . output } = encode _float ( x ) ;
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}
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` }};var Lw=class{constructor(t,e=!1){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=He();this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let o="result";e&&(o="floor(result * 255. + 0.5)"),this.userCode= `
$ { this . enableShapeUniforms ? vd ( ) : wd ( t ) }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int flatIndex = getFlatIndex ( coords ) ;
int offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
int r = flatIndex / texShape [ 1 ] ;
int c = imod ( flatIndex , texShape [ 1 ] ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( texShape [ 1 ] , texShape [ 0 ] ) ;
vec4 values = $ { n . texture2D } ( A , uv ) ;
float result ;
if ( offset == 0 ) {
result = values [ 0 ] ;
} else if ( offset == 1 ) {
result = values [ 1 ] ;
} else if ( offset == 2 ) {
result = values [ 2 ] ;
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} else {
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result = values [ 3 ] ;
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}
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$ { n . output } = vec4 ( $ { o } , 0. , 0. , 0. ) ;
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}
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` }};var Pw=class{constructor(t,e=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=He();this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let o="",s="result";e&&(s="floor(result * 255. + 0.5)");for(let i=0;i<=1;i++)for(let a=0;a<=1;a++){let u=i*2+a;o+= `
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localCoords = coords ;
if ( localCoords [ 2 ] + $ { a } < $ { this . enableShapeUniforms ? "outShape[2]" : ` ${ t [ 2 ] } ` } ) {
localCoords [ 2 ] += $ { a } ;
if ( localCoords [ 1 ] + $ { i } < $ { this . enableShapeUniforms ? "outShape[1]" : ` ${ t [ 1 ] } ` } ) {
localCoords [ 1 ] += $ { i } ;
flatIndex = getFlatIndex ( localCoords ) ;
offset = imod ( flatIndex , 4 ) ;
flatIndex = idiv ( flatIndex , 4 , 1. ) ;
int r = flatIndex / texShape [ 1 ] ;
int c = imod ( flatIndex , texShape [ 1 ] ) ;
vec2 uv = ( vec2 ( c , r ) + halfCR ) / vec2 ( texShape [ 1 ] , texShape [ 0 ] ) ;
values = $ { n . texture2D } ( A , uv ) ;
if ( offset == 0 ) {
result [ $ { u } ] = values [ 0 ] ;
} else if ( offset == 1 ) {
result [ $ { u } ] = values [ 1 ] ;
} else if ( offset == 2 ) {
result [ $ { u } ] = values [ 2 ] ;
} else {
result [ $ { u } ] = values [ 3 ] ;
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}
}
}
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` }this.userCode= `
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$ { this . enableShapeUniforms ? vd ( ) : wd ( t ) }
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
int flatIndex , r , c , offset ;
ivec3 localCoords ;
vec2 uv ;
vec4 values ;
$ { o }
$ { n . output } = $ { s } ;
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}
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` }};var cT={};jt(cT,{bindVertexProgramAttributeStreams:()=>rT,createBufferFromOutputTexture:()=>sT,createFloat16MatrixTexture:()=>Jk,createFloat16PackedMatrixTexture:()=>eT,createFloat32MatrixTexture:()=>Zk,createIndexBuffer:()=>Yk,createPackedMatrixTexture:()=>tT,createUnsignedBytesMatrixTexture:()=>Qk,createVertexBuffer:()=>Xk,createVertexShader:()=>jk,downloadByteEncodedFloatMatrixFromOutputTexture:()=>aT,downloadFloat32MatrixFromBuffer:()=>iT,downloadMatrixFromPackedOutputTexture:()=>uT,downloadPackedMatrixFromBuffer:()=>lT,getInternalFormatForFloat16MatrixTexture:()=>zw,getInternalFormatForFloat16PackedMatrixTexture:()=>Gw,getInternalFormatForFloat32MatrixTexture:()=>Mw,getInternalFormatForPackedMatrixTexture:()=>Vw,getInternalFormatForUnsignedBytesMatrixTexture:()=>Bw,uploadDenseMatrixToTexture:()=>nT,uploadPixelDataToTexture:()=>oT});function jk(r){let t=He(),e= ` $ { t . version }
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precision highp float ;
$ { t . attribute } vec3 clipSpacePos ;
$ { t . attribute } vec2 uv ;
$ { t . varyingVs } vec2 resultUV ;
void main ( ) {
gl _Position = vec4 ( clipSpacePos , 1 ) ;
resultUV = uv ;
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} ` ;return _k(r,e)}function Xk(r){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return Dk(r,t)}function Yk(r){let t=new Uint16Array([0,1,2,2,1,3]);return Fk(r,t)}function ng(r,t,e,n,o,s){Ok(t,e);let i=Rk(r),a=r.TEXTURE_2D;return vt(r,()=>r.bindTexture(a,i)),vt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_S,r.CLAMP_TO_EDGE)),vt(r,()=>r.texParameteri(a,r.TEXTURE_WRAP_T,r.CLAMP_TO_EDGE)),vt(r,()=>r.texParameteri(a,r.TEXTURE_MIN_FILTER,r.NEAREST)),vt(r,()=>r.texParameteri(a,r.TEXTURE_MAG_FILTER,r.NEAREST)),B().getNumber("WEBGL_VERSION")===1?vt(r,()=>r.texImage2D(a,0,n,t,e,0,o,s,null)):vt(r,()=>r.texStorage2D(a,1,n,t,e)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,null)),{texture:i,texShape:[e,t]}}function Mw(r){return r.internalFormatFloat}function Zk(r,t,e,n){let[o,s]=Wc(t,e);return ng(r,o,s,Mw(n),n.textureFormatFloat,r.FLOAT)}function zw(r){return r.internalFormatHalfFloat}function Jk(r,t,e,n){let[o,s]=Wc(t,e);return ng(r,o,s,zw(n),n.textureFormatFloat,n.textureTypeHalfFloat)}function Bw(r){return r.downloadTextureFormat}function Qk(r,t,e,n){let[o,s]=Wc(t,e);return ng(r,o,s,Bw(n),r.RGBA,r.UNSIGNED_BYTE)}function Vw(r){return r.internalFormatPackedFloat}function tT(r,t,e,n){let[o,s]=Ji(t,e);return ng(r,o,s,Vw(n),r.RGBA,r.FLOAT)}function Gw(r){return r.internalFormatPackedHalfFloat}function eT(r,t,e,n){let[o,s]=Ji(t,e);return ng(r,o,s,Gw(n),r.RGBA,n.textureTypeHalfFloat)}function rT(r,t,e){return vt(r,()=>r.bindBuffer(r.ARRAY_BUFFER,e)),Tw(r,t,"clipSpacePos",e,3,20,0)&&Tw(r,t,"uv",e,2,20,12)}function nT(r,t,e,n,o,s){vt(r,()=>r.bindTexture(r.TEXTURE_2D,t));let i,a,u;o instanceof Uint8Array?(i=new Uint8Array(e*n*4),a=r.UNSIGNED_BYTE,u=r.RGBA):(i=new Float32Array(e*n*4),a=r.FLOAT,u=s.internalFormatPackedFloat),i.set(o),B().getNumber("WEBGL_VERSION")===2?vt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e,n,r.RGBA,a,i)):vt(r,()=>r.texImage2D(r.TEXTURE_2D,0,u,e,n,0,r.RGBA,a,i)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function oT(r,t,e){vt(r,()=>r.bindTexture(r.TEXTURE_2D,t)),e.data instanceof Uint8Array?B().getNumber("WEBGL_VERSION")===2?vt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,e.width,e.height,r.RGBA,r.UNSIGNED_BYTE,e.data)):vt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,e.width,e.height,0,r.RGBA,r.UNSIGNED_BYTE,e.data)):B().getNumber("WEBGL_VERSION")===2?vt(r,()=>r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,e)):vt(r,()=>r.texImage2D(r.TEXTURE_2D,0,r.RGBA,r.RGBA,r.UNSIGNED_BYTE,e)),vt(r,()=>r.bindTexture(r.TEXTURE_2D,null))}function sT(r,t,e,n){let o=r.createBuffer();vt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,o));let a=4*4*t*e;return vt(r,()=>r.bufferData(r.PIXEL_PACK_BUFFER,a,r.STREAM_READ)),vt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,0)),vt(r,()=>r.bindBuffer(r.PIXEL_PACK_BUFFER,null)),o}function iT(r,t,e){let n=r,o=new Float32Array(e);return n.bindBuffer(n.PIXEL_PACK_BUFFER,t),n.getBufferSubData(n.PIXEL_PACK_BUFFER,0,o),n.bindBuffer(n.PIXEL_PACK_BUFFER,null),o}function aT(r,t,e,n){let[o,s]=Wc(t,e),i=4,a=new Uint8Array(HL(t*e,i));return vt(r,()=>r.readPixels(0,0,o,s,n.downloadTextureFormat,r.UNSIGNED_BYTE,a)),new Float32Array(a.buffer)}function lT(r,t,e,n,o,s,i,a){let u=r,l=new Float32Array(qL(s,i));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}function uT(r,t,e){let n=new Float32Array(t*e*4);return vt(r,()=>r.readPixels(0,0,e,t,r.RGBA,r.FLOAT,n)),n}var qc=class{constructor(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];let e=B().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,Sk(e,t)):this.gl=Gn(e);let n="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(this.parallelCompilationExtension=this.gl.getExtension("KHR_parallel_shader_compile"),B().getNumber("WEBGL_VERSION")===1){let s="OES_texture_float",i="OES_texture_half_float";if(this.textureFloatExtension=xd(this.gl,s),Wn(this.gl,i))this.textureHalfFloatExtension=xd(this.gl,i);else if(B().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environm
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void main ( ) {
setOutput ( vec4 ( getA ( ) , 0. , 0. , 0. ) ) ;
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}
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` ;else{let e=tr("rc",this.rank),n=Wt(this.rank),o=this.getOutOfBoundsCondition(e),s=this.getSetup(e),i=this.getOutput(e);this.userCode= `
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void main ( ) {
$ { n } rc = getOutputCoords ( ) ;
if ( $ { o } ) {
setOutput ( vec4 ( 0 ) ) ;
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} else {
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$ { s }
setOutput ( vec4 ( $ { i } ) ) ;
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}
}
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` }}getSourceCoordsArr(t){let e=[];for(let n=0;n<=1;n++)for(let o=0;o<=1;o++){let s= ` $ { n === 0 ? "r" : "rp1" } , $ { o === 0 ? "c" : "cp1" } ` ;for(let i=2;i<this.rank;i++)s= ` $ { t [ t . length - 1 - i ] } , ` +s;e.push(s)}return e}getOutOfBoundsCondition(t){if(this.rank===1)return ` rc > $ { this . enableShapeUniforms ? "outShape" : this . outputShape [ 0 ] } ` ;let e="";for(let n=this.rank-2;n<this.rank;n++)e+= ` $ { t [ n ] } >= $ { this . enableShapeUniforms ? ` outShape[ ${ n } ] ` : this . outputShape [ n ] } ` ,n<this.rank-1&&(e+="||");return e}getSetup(t){if(this.rank===1)return"";let e=t.slice(-2),n=this.enableShapeUniforms? ` outShape [ $ { this . rank } - 1 ] ` :this.outputShape[this.rank-1],o=this.enableShapeUniforms? ` outShape [ $ { this . rank } - 2 ] ` :this.outputShape[this.rank-2];return `
int r = $ { e [ 0 ] } ;
int c = $ { e [ 1 ] } ;
int rp1 = r + 1 ;
int cp1 = c + 1 ;
bool cEdge = cp1 >= $ { n } ;
bool rEdge = rp1 >= $ { o } ;
` }getOutput(t){let e=this.getSourceCoordsArr(t);return this.rank===1? ` getA ( rc ) , ( rc + 1 >= $ { this . enableShapeUniforms ? "outShape" : this . outputShape [ 0 ] } ? 0. : getA ( rc + 1 ) ) , 0 , 0 ` : ` getA ( $ { e [ 0 ] } ) ,
cEdge ? 0. : getA ( $ { e [ 1 ] } ) ,
rEdge ? 0. : getA ( $ { e [ 2 ] } ) ,
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rEdge || cEdge ? 0. : getA ( $ { e [ 3 ] } ) ` }};var Td=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let n="";for(let o=0;o<4;o++){let s="thisRC = rc;";o%2===1&&(s+="thisRC.z += 1;"),o>1&&(s+="thisRC.y += 1;"),n+= `
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$ { s }
$ { o > 0 ? "if(thisRC.y < rows && thisRC.z < cols){" : "" }
int flatIndex = getFlatIndex ( thisRC ) ;
ivec3 inputRC = inputCoordsFromReshapedOutCoords ( flatIndex ) ;
vec2 inputRCInnerDims = vec2 ( float ( inputRC . y ) , float ( inputRC . z ) ) ;
result [ $ { o } ] =
getChannel ( getA ( inputRC . x , inputRC . y , inputRC . z ) , inputRCInnerDims ) ;
$ { o > 0 ? "}" : "" }
` }this.userCode= `
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$ { Ptt ( e , this . enableShapeUniforms ) }
$ { this . enableShapeUniforms ? vd ( ) : wd ( t ) }
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void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
ivec3 thisRC ;
int rows = $ { this . enableShapeUniforms ? "outShape[1]" : t [ 1 ] } ;
int cols = $ { this . enableShapeUniforms ? "outShape[2]" : t [ 2 ] } ;
$ { n }
setOutput ( result ) ;
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}
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` }};function Ptt(r,t){return `
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ivec3 inputCoordsFromReshapedOutCoords ( int index ) {
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$ { t ? ZL ( [ "r" , "c" , "d" ] , "inputShape" ) : oi ( [ "r" , "c" , "d" ] , r ) }
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return ivec3 ( r , c , d ) ;
}
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` }var Kw=class{constructor(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(t,e,n){let o=KP(e,n),s=jP(t,o,n);s in this.freeTextures||(this.freeTextures[s]=[]),s in this.usedTextures||(this.usedTextures[s]=[]);let i=qP(t,o,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[s].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=i,this.log();let u=this.freeTextures[s].shift();return this.usedTextures[s].push(u),u}let a;return o===Rr.PACKED_2X2_FLOAT32?a=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Rr.PACKED_2X2_FLOAT16?a=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Rr.UNPACKED_FLOAT32?a=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Rr.UNPACKED_FLOAT16?a=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Rr.PACKED_4X1_UNSIGNED_BYTE&&(a=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[s].push(a),this.numUsedTextures++,this._numBytesAllocated+=i,this.log(),a}releaseTexture(t,e,n,o){if(this.freeTextures==null)return;let s=KP(n,o),i=jP(e,s,o);i in this.freeTextures||(this.freeTextures[i]=[]);let a=qP(e,s,this.gpgpu.gl,this.gpgpu.textureConfig,o),u=B().get("WEBGL_DELETE_TEXTURE_THRESHOLD");u!==-1&&this._numBytesAllocated>u?(this.gpgpu.deleteMatrixTexture(t.texture),this._numBytesAllocated-=a):(this.freeTextures[i].push(t),this.numFreeTextures++,this._numBytesFree+=a),this.numUsedTextures--;let l=this.usedTextures[i],c=l.indexOf(t);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(c,1),this.log()}log(){if(!this.logEnabled)return;let t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used", ` $ { this . numFreeTextures } / $ { this . numUsedTextures } ` , ` ( $ { t } ) ` );let e=this._numBytesFree/this._numBytesAllocated;console.log( ` Bytes allocated : $ { this . _numBytesAllocated } ` ),console.log( ` Bytes unused : $ { this . _numBytesFree } ( $ { Math . round ( 100 * e ) } % ) ` )}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let t in this.freeTextures)this.freeTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});for(let t in this.usedTextures)this.usedTextures[t].forEach(e=>{this.gpgpu.deleteMatrixTexture(e.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function Mtt(r,t){let e=r;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===r.RGBA)return 16;if(t===e.RGBA16F)return 8;if(t===e.RGBA8)return 4;throw new Error( ` Unknown internal format $ { t } ` )}function qP(r,t,e,n,o){let s=ztt(t,n),i;if(o){let[u,l]=Ji(r[0],r[1]);i=u*l}else{let[u,l]=Wc(r[0],r[1]);i=u*l}let a=Mtt(e,s);return i*a}function ztt(r,t){switch(r){case Rr.PACKED_2X2_FLOAT32:return Vw(t);case Rr.PACKED_2X2_FLOAT16:return Gw(t);case Rr.UNPACKED_FLOAT32:return Mw(t);case Rr.UNPACKED_FLOAT16:return zw(t);case Rr.PACKED_4X1_UNSIGNED_BYTE:return Bw(t);default:throw new Error( ` Unknown physical texture type $ { r } ` )}}function Btt(r){return B().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?r?Rr.PACKED_2X2_FLOAT32:Rr.UNPACKED_FLOAT32:r?Rr.PACKED_2X2_FLOAT16:Rr.UNPACKED_FLOAT16}function KP(r,t){if(r===Hr.UPLOAD)return Rr.PACKED_2X2_FLOAT32;if(r===Hr.RENDER||r==null)return Btt(t);if(r===Hr.DOWNLOAD||r===Hr.PIXELS)return Rr.PACKED_4X1_UNSIGNED_BYTE;throw new Error( ` Unknown logical texture type $ { r } ` )}function jP(r,t,e){return ` $ { r [ 0 ] } _$ { r [ 1 ] } _$ { t } _$ { e } ` }var Zr=class{constructor(t,e){this.variableNames=["A"],this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length),this.userCode= `
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float unaryOperation ( float x ) {
$ { e }
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}
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void main ( ) {
float x = getAAtOutCoords ( ) ;
float y = unaryOperation ( x ) ;
setOutput ( y ) ;
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}
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` }},fr="if (isnan(x)) return x;",XP="return x;",mT="return abs(x);";var YP="return (x >= 0.0) ? x : (exp(x) - 1.0);",ZP=fr+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,JP=fr+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,jc="return x;",QP="return 1.0 / (1.0 + exp(-1.0 * x));";var eM="return x;",rM= `
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vec4 result ;
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result . r = ( x . r >= 0.0 ) ? x . r : ( exp ( x . r ) - 1.0 ) ;
result . g = ( x . g >= 0.0 ) ? x . g : ( exp ( x . g ) - 1.0 ) ;
result . b = ( x . b >= 0.0 ) ? x . b : ( exp ( x . b ) - 1.0 ) ;
result . a = ( x . a >= 0.0 ) ? x . a : ( exp ( x . a ) - 1.0 ) ;
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return result ;
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` ,nM= `
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vec4 result = x * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
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result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
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return result ;
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` ,oM= `
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vec4 result = min ( x , vec4 ( 6. ) ) * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
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result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
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return result ;
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` ,sM="return 1.0 / (1.0 + exp(-1.0 * x));",eo=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length),this.userCode= `
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vec4 unaryOperation ( vec4 x ) {
$ { e }
}
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void main ( ) {
vec4 x = getAAtOutCoords ( ) ;
vec4 y = unaryOperation ( x ) ;
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setOutput ( y ) ;
}
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` }};var jw=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let e=t.length,n=tr("rc",e),o=Wt(e),s=HP(e,n),i=n.slice(-2),a=e<=1?"rc": ` vec2 ( $ { i . join ( "," ) } ) ` ;this.userCode= `
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void main ( ) {
$ { o } rc = getOutputCoords ( ) ;
vec4 packedInput = getA ( $ { s } ) ;
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setOutput ( getChannel ( packedInput , $ { a } ) ) ;
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}
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` }};var Gtt=Vr.whereImpl,Wtt=1e-7,Utt=1e-4,Xw={};function Htt(r){return r in Xw||(Xw[r]={}),Xw[r]}var qtt=B().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),Ktt=600;function jtt(){return B().global.screen==null?1024:B().global.screen.height*B().global.screen.width*window.devicePixelRatio*Ktt/1024/1024}var ku=class extends Uo{constructor(t){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!B().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let e;if(t!=null){if(t instanceof qc)e=t;else{let n=Gn(B().getNumber("WEBGL_VERSION"),t);e=new qc(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Gn(B().getNumber("WEBGL_VERSION"));e=new qc(n),this.binaryCache=Htt(B().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=e,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new Kw(this.gpgpu),this.numMBBeforeWarning=jtt(),this.texData=new Qi(this,go())}nextDataId(){return ku.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}write(t,e,n){if((B().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||B().getBool("DEBUG"))&&this.checkNumericalProblems(t),n==="complex64"&&t!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let o={id:this.nextDataId()};return this.texData.set(o,{shape:e,dtype:n,values:t,usage:Hr.UPLOAD,refCount:1}),o}refCount(t){return this.texData.has(t)?this.texData.get(t).refCount:0}incRef(t){let e=this.texData.get(t);e.refCount++}decRef(t){if(this.texData.has(t)){let e=this.texData.get(t);e.refCount--}}move(t,e,n,o,s){if(B().getBool("DEBUG")&&this.checkNumericalProblems(e),o==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:o,values:e,usage:Hr.UPLOAD,refCount:s})}disposeIntermediateTensorInfo(t){this.disposeData(t.dataId)}readSync(t){let e=this.texData.get(t),{values:n,dtype:o,complexTensorInfos:s,slice:i,shape:a,isPacked:u}=e;if(i!=null){let m;u?m=new eo(a,jc):m=new Zr(a,jc);let f=this.runWebGLProgram(m,[{dataId:t,shape:a,dtype:o}],o),d=this.readSync(f.dataId);return this.disposeIntermediateTensorInfo(f),d}if(n!=null)return this.convertAndCacheOnCPU(t);if(o==="string")return n;let l=this.activeTimers!=null,c;l&&(c=x.now());let p;if(o==="complex64"){let m=this.readSync(s.real.dataId),f=this.readSync(s.imag.dataId);p=S.mergeRealAndImagArrays(m,f)}else p=this.getValuesFromTexture(t);return l&&(this.downloadWaitMs+=x.now()-c),this.convertAndCacheOnCPU(t,p)}async read(t){if(this.pendingRead.has(t)){let d=this.pendingRead.get(t);return new Promise(h=>d.push(h))}let e=this.texData.get(t),{values:n,shape:o,slice:s,dtype:i,complexTensorInfos:a,isPacked:u}=e;if(s!=null){let d;u?d=new eo(o,jc):d=new Zr(o,jc);let h=this.runWebGLProgram(d,[{dataId:t,shape:o,dtype:i}],i),g=this.read(h.dataId);return this.disposeIntermediateTensorInfo(h),g}if(n!=null)return this.convertAndCacheOnCPU(t);if(B().getBool("DEBUG")&&!B().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&B().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,c;if(i!=="complex64"&&B().get("WEBGL_BUFFER_SUPPORTED")){c=this.decode(t);let d=this.texData.get(c.dataId);l=this.gpgpu.createBufferFromTexture(d.texture.texture,...Jh(o))}this.pendingRead.set(t,[]),i!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(i==="complex64"){let d=await Promise.all([this.read(a.real.dataId),this.read(a.imag.dataId)]),h=d[0],g=d[1];p=S.mergeRealAndImagArrays(h,g)}else if(l==null)p=this.getValuesFromTexture(t);else{let d=x.sizeFromShape(o);p=this.gpgpu.downloadFloat32MatrixFromBuffer(l,d)}if(c!=null&&this.disposeIntermediateTensorInfo(c),l!=null){let d=this.gpgpu.gl;vt(d,()=>d.deleteBuffer(l))}let m=this.convertAndCacheOnCPU(t,p),f=this.pendingRead.get(t);return this.pendingRead.delete(t
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ;var ro=class{constructor(t,e,n){this.variableNames=["A","B"],this.outputShape=S.assertAndGetBroadcastShape(e,n),this.enableShapeUniforms=De(this.outputShape.length),this.userCode= `
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float binaryOperation ( float a , float b ) {
$ { t }
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}
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void main ( ) {
float a = getAAtOutCoords ( ) ;
float b = getBAtOutCoords ( ) ;
setOutput ( binaryOperation ( a , b ) ) ;
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}
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` }};var Tu= `
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result . r = isNaN . r > 0. ? NAN : result . r ;
result . g = isNaN . g > 0. ? NAN : result . g ;
result . b = isNaN . b > 0. ? NAN : result . b ;
result . a = isNaN . a > 0. ? NAN : result . a ;
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` ;var Fo=class{constructor(t,e,n,o=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=S.assertAndGetBroadcastShape(e,n);let s=this.outputShape.length;this.enableShapeUniforms=De(s);let i="";if(o)if(s===0||x.sizeFromShape(this.outputShape)===1)i= `
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result . y = 0. ;
result . z = 0. ;
result . w = 0. ;
` ;else if(i= `
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$ { Wt ( s ) } coords = getOutputCoords ( ) ;
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` ,s===1)this.enableShapeUniforms?i+= `
result . y = ( coords + 1 ) >= outShape ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
` :i+= `
result . y = ( coords + 1 ) >= $ { this . outputShape [ 0 ] } ? 0. : result . y ;
result . z = 0. ;
result . w = 0. ;
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` ;else{let u=tr("coords",s);this.enableShapeUniforms?i+= `
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bool nextRowOutOfBounds =
( $ { u [ s - 2 ] } + 1 ) >= outShape [ $ { s } - 2 ] ;
bool nextColOutOfBounds =
( $ { u [ s - 1 ] } + 1 ) >= outShape [ $ { s } - 1 ] ;
result . y = nextColOutOfBounds ? 0. : result . y ;
result . z = nextRowOutOfBounds ? 0. : result . z ;
result . w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result . w ;
` :i+= `
bool nextRowOutOfBounds =
( $ { u [ s - 2 ] } + 1 ) >= $ { this . outputShape [ s - 2 ] } ;
bool nextColOutOfBounds =
( $ { u [ s - 1 ] } + 1 ) >= $ { this . outputShape [ s - 1 ] } ;
result . y = nextColOutOfBounds ? 0. : result . y ;
result . z = nextRowOutOfBounds ? 0. : result . z ;
result . w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result . w ;
` }this.userCode= `
vec4 binaryOperation ( vec4 a , vec4 b ) {
$ { t }
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}
void main ( ) {
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vec4 a = getAAtOutCoords ( ) ;
vec4 b = getBAtOutCoords ( ) ;
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vec4 result = binaryOperation ( a , b ) ;
$ { i }
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setOutput ( result ) ;
}
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` }};function er(r){let{inputs:t,backend:e}=r,{x:n}=t;return e.incRef(n.dataId),{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}var lM={kernelName:lo,backendName:"webgl",kernelFunc:er};function An(r){let{inputs:t,backend:e}=r,{real:n,imag:o}=t,s=e.makeTensorInfo(n.shape,"complex64"),i=e.texData.get(s.dataId),a=er({inputs:{x:n},backend:e}),u=er({inputs:{x:o},backend:e});return i.complexTensorInfos={real:a,imag:u},s}var uM={kernelName:Sp,backendName:"webgl",kernelFunc:An};var fT="return (a < 0.) ? b * a : a;",dT= `
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vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
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` ;function Ytt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{alpha:s}=n,i=e.makeTensorInfo([],"float32",x.createScalarValue(s,"float32")),a=B().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Fo(dT,o.shape,i.shape):new ro(fT,o.shape,i.shape),u=e.runWebGLProgram(a,[o,i],"float32");return e.disposeIntermediateTensorInfo(i),u}var cM={kernelName:ps,backendName:"webgl",kernelFunc:Ytt};var hT="return (a < 0.) ? b * a : a;",gT= `
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vec4 aLessThanZero = vec4 ( lessThan ( a , vec4 ( 0. ) ) ) ;
return ( aLessThanZero * ( b * a ) ) + ( ( vec4 ( 1.0 ) - aLessThanZero ) * a ) ;
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` ;function Ztt(r){let{inputs:t,backend:e}=r,{x:n,alpha:o}=t,s=B().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Fo(gT,n.shape,o.shape):new ro(hT,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],"float32")}var pM={kernelName:Ss,backendName:"webgl",kernelFunc:Ztt};var Ro="if (isnan(x)) return x;",mM= `
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if ( isnan ( a ) ) return a ;
if ( isnan ( b ) ) return b ;
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` ,fM= `
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result . r = isNaN . r > 0. ? NAN : result . r ;
result . g = isNaN . g > 0. ? NAN : result . g ;
result . b = isNaN . b > 0. ? NAN : result . b ;
result . a = isNaN . a > 0. ? NAN : result . a ;
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` ;function It({opSnippet:r,packedOpSnippet:t,cpuKernelImpl:e,dtype:n}){return({inputs:o,backend:s})=>{let{x:i}=o,a=s,u=n||i.dtype;if(a.shouldExecuteOnCPU([i])&&e!=null){let p=a.texData.get(i.dataId),m=e(p.values,u);return a.makeTensorInfo(i.shape,u,m)}let l=B().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,c;return l?c=new eo(i.shape,t):c=new Zr(i.shape,r),a.runWebGLProgram(c,[i],u)}}function ce({opSnippet:r,packedOpSnippet:t,checkOutOfBounds:e=!1,supportsComplex:n=!1,cpuKernelImpl:o,dtype:s}){return({inputs:i,backend:a})=>{let{a:u,b:l}=i,c=a;if(n&&u.dtype==="complex64"){let d=c.texData.get(u.dataId),h=c.texData.get(l.dataId),[g,y]=[[d.complexTensorInfos.real,h.complexTensorInfos.real],[d.complexTensorInfos.imag,h.complexTensorInfos.imag]].map(w=>{let[v,N]=w,E={dataId:v.dataId,dtype:v.dtype,shape:u.shape}, $ ={dataId:N.dataId,dtype:N.dtype,shape:l.shape},D=new ro(r,u.shape,l.shape);return c.runWebGLProgram(D,[E, $ ],ir(v.dtype,N.dtype))}),b=An({inputs:{real:g,imag:y},backend:c});return c.disposeIntermediateTensorInfo(g),c.disposeIntermediateTensorInfo(y),b}let p=s||ir(u.dtype,l.dtype);if((u.dtype==="string"||l.dtype==="string"||c.shouldExecuteOnCPU([u,l]))&&o!=null){let d=c.texData.get(u.dataId).values,h=c.texData.get(l.dataId).values,g=u.dtype==="string"?S.fromUint8ToStringArray(d):d,y=u.dtype==="string"?S.fromUint8ToStringArray(h):h,[b,w]=o(u.shape,l.shape,g,y,p),v=c.makeTensorInfo(w,p),N=c.texData.get(v.dataId);return N.values=b,v}let m=B().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,f;return m?f=new Fo(t,u.shape,l.shape,e):f=new ro(r,u.shape,l.shape),c.runWebGLProgram(f,[u,l],p)}}function _u(r,t=!1){if(r==="linear")return t?eM:XP;if(r==="relu")return t?nM:ZP;if(r==="elu")return t?rM:YP;if(r==="relu6")return t?oM:JP;if(r==="prelu")return t?gT:hT;if(r==="leakyrelu")return t?dT:fT;if(r==="sigmoid")return t?sM:QP;throw new Error( ` Activation $ { r } has not been implemented for the WebGL backend . ` )}var _d=class{constructor(t,e,n,o=!1,s=!1,i=!1,a=null,u=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=De(this.outputShape.length);let c=o?t[1]:t[2],p=Math.ceil(c/2),m=o?"i * 2, rc.y":"rc.y, i * 2",f=s?"rc.z, i * 2":"i * 2, rc.z",d=o?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=s?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],g="",y="";a&&(u?g= ` vec4 activation ( vec4 a ) {
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vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { a }
} ` :l?g= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { a }
} ` :g= ` vec4 activation ( vec4 x ) {
$ { a }
} ` ,y="result = activation(result);");let b=i?"result += getBiasAtOutCoords();":"";i&&this.variableNames.push("bias"),u&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let w="rc.x",v="rc.x";t[0]<e[0]?w= ` int ( min ( float ( rc . x ) , $ { t [ 0 ] - 1 } . ) ) ` :e[0]<t[0]&&(v= ` int ( min ( float ( rc . x ) , $ { e [ 0 ] - 1 } . ) ) ` ),this.userCode= `
$ { g }
// Don't use uniform for sharedDimensionPacked for performance.
const float sharedDimension = $ { p } . 0 ;
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vec4 dot2x2ARowBCol ( ivec3 rc ) {
vec4 result = vec4 ( 0 ) ;
for ( int i = 0 ; i < $ { p } ; i ++ ) {
int batchA = $ { w } ;
int batchB = $ { v } ;
vec4 a = getMatrixA ( batchA , $ { m } ) ;
vec4 b = getMatrixB ( batchB , $ { f } ) ;
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// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
result += ( $ { d [ 0 ] } * $ { h [ 0 ] } ) ;
result += ( $ { d [ 1 ] } * $ { h [ 1 ] } ) ;
}
return result ;
}
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void main ( ) {
ivec3 rc = getOutputCoords ( ) ;
vec4 result = dot2x2ARowBCol ( rc ) ;
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$ { b }
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$ { y }
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setOutput ( result ) ;
}
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` }};var xT={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},og=class{constructor(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=S.assertAndGetBroadcastShape(e,n),this.userCode= `
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float binaryOpComplex (
float areal , float aimag , float breal , float bimag ) {
$ { t }
}
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void main ( ) {
float areal = getARealAtOutCoords ( ) ;
float aimag = getAImagAtOutCoords ( ) ;
float breal = getBRealAtOutCoords ( ) ;
float bimag = getBImagAtOutCoords ( ) ;
setOutput ( binaryOpComplex ( areal , aimag , breal , bimag ) ) ;
}
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` }};var dM="return a * b;";function sg(r){let{inputs:t,backend:e}=r,{a:n,b:o}=t,s=S.upcastType(n.dtype,o.dtype);if(n.dtype==="complex64"){let a=e.texData.get(n.dataId),u=e.texData.get(o.dataId),l=new og(xT.REAL,n.shape,o.shape),c=new og(xT.IMAG,n.shape,o.shape),p=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:n.shape},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:n.shape},{dataId:u.complexTensorInfos.real.dataId,dtype:u.complexTensorInfos.real.dtype,shape:o.shape},{dataId:u.complexTensorInfos.imag.dataId,dtype:u.complexTensorInfos.imag.dtype,shape:o.shape}],m=e.runWebGLProgram(l,p,"float32"),f=e.runWebGLProgram(c,p,"float32"),d=An({inputs:{real:m,imag:f},backend:e});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}if(e.shouldExecuteOnCPU([n,o])){let a=e.texData.get(n.dataId),u=e.texData.get(o.dataId),[l,c]=NP(n.shape,o.shape,a.values,u.values,s),p=e.makeTensorInfo(c,s),m=e.texData.get(p.dataId);return m.values=l,p}let i;return B().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new Fo(dM,n.shape,o.shape):i=new ro(dM,n.shape,o.shape),e.runWebGLProgram(i,[n,o],s)}var hM={kernelName:ws,backendName:"webgl",kernelFunc:sg};function gM(r,t,e){let n=[fl(r.shape),...dl(r.shape)],o={dtype:r.dtype,shape:n,dataId:r.dataId},s=[fl(t),...dl(t)],i=new Td(s,n),a=!0,u=[n],l=e.runWebGLProgram(i,[o],r.dtype,u,a);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function at(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{shape:s}=n,i=e,a=x.sizeFromShape(o.shape),u=x.inferFromImplicitShape(s,a),l=x.sizeFromShape(u);x.assert(a===l,()=> ` The new shape ( $ { u } ) has $ { l } elements and the old shape ( $ { o . shape } ) has $ { a } elements . The new shape and old shape must have the same number of elements . ` );let c=i.texData.get(o.dataId);return c.isPacked&&!Nu(o.shape,u)&&!(c.texture!==null&&Nu(c.shape,u))?gM(o,u,i):(i.incRef(o.dataId),{dataId:o.dataId,shape:u,dtype:o.dtype})}var xM={kernelName:yi,backendName:"webgl",kernelFunc:at};var ig=class{constructor(t,e){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a=Math.floor(n/4)*4,u=n%4,l="sumValue += dot(values, ones);";if(e!=null){let p=1/e;l= ` sumValue += dot ( values * $ { x . isInt ( p ) ? p . toPrecision ( 2 ) : p } , ones ) ; ` }let c="";s%n>0&&(c= `
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if ( inIdx < 0 || inIdx >= $ { s } ) {
return 0.0 ;
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}
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` ),this.userCode= `
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
float getValue ( int batch , int inIdx ) {
$ { c }
return getX ( batch , inIdx ) ;
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}
void main ( ) {
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ivec2 coords = getOutputCoords ( ) ;
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int batch = coords [ 0 ] ;
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int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
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float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { a } ; i += 4 ) {
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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$ { l }
}
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int inIdx = inOffset + $ { a } ;
if ( $ { u === 1 } ) {
vec4 values = vec4 ( getValue ( batch , inIdx ) , 0.0 , 0.0 , 0.0 ) ;
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$ { l }
} else if ( $ { u === 2 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) , 0.0 , 0.0 ) ;
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$ { l }
} else if ( $ { u === 3 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) , 0.0 ) ;
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$ { l }
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}
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setOutput ( sumValue ) ;
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}
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` }};var Zw=class{constructor(t,e){this.variableNames=["x"];let{windowSize:n,batchSize:o,inSize:s,outSize:i}=t;this.outputShape=[o,i];let a="0.0",u="";e==="prod"?a="1.0":e==="min"?(a="1.0 / 1e-20",u="min"):e==="max"&&(a="-1.0 / 1e-20",u="max");let l= ` $ { e } ( $ { e } ( $ { e } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;e==="sum"?l="sumValue":e==="prod"?l="prodValue":e==="all"?l="allValue":e==="any"&&(l="anyValue");let c=Math.floor(n/4)*4,p=n%4,m= `
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if ( $ { e === "sum" } ) {
sumValue += dot ( values , ones ) ;
} else if ( $ { e === "prod" } ) {
vec2 tmp = vec2 ( values [ 0 ] , values [ 1 ] ) * vec2 ( values [ 2 ] , values [ 3 ] ) ;
prodValue *= tmp [ 0 ] * tmp [ 1 ] ;
} else {
minMaxValue = $ { u } ( values , minMaxValue ) ;
if ( $ { e === "min" } || $ { e === "max" } ) {
minMaxValue = $ { u } ( values , minMaxValue ) ;
bvec4 isNaN = isnan ( values ) ;
if ( isNaN . r || isNaN . g || isNaN . b || isNaN . a ) {
minMaxValue = vec4 ( NAN ) ;
}
}
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}
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` ,f="vec4";e==="all"?(a="1.0",m= `
bool reducedAllValue = all ( values ) ;
float floatedReducedAllValue = float ( reducedAllValue ) ;
allValue = float ( allValue >= 1.0 && floatedReducedAllValue >= 1.0 ) ;
` ,f="bvec4"):e==="any"&&(a="0.0",m= `
bool reducedAnyValue = any ( values ) ;
float floatedReducedAnyValue = float ( reducedAnyValue ) ;
anyValue = float ( anyValue >= 1.0 || floatedReducedAnyValue >= 1.0 ) ;
` ,f="bvec4");let d="";s%n>0&&(d= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return initializationValue ;
}
` ),this.userCode= `
const float initializationValue = $ { a } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
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float getValue ( int batch , int inIdx ) {
$ { d }
return getX ( batch , inIdx ) ;
}
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void main ( ) {
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ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { n } ;
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vec4 minMaxValue = vec4 ( $ { a } ) ;
float prodValue = 1.0 ;
float sumValue = 0.0 ;
float allValue = 1.0 ;
float anyValue = 0.0 ;
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for ( int i = 0 ; i < $ { c } ; i += 4 ) {
int inIdx = inOffset + i ;
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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$ { m }
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}
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int inIdx = inOffset + $ { c } ;
if ( $ { p === 1 } ) {
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { m }
} else if ( $ { p === 2 } ) {
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
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$ { m }
} else if ( $ { p === 3 } ) {
$ { f } values = $ { f } (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
$ { m }
}
setOutput ( $ { l } ) ;
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}
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` }};function Qtt(r){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let e=t.length?t[t.length-1].outSize:r[1],n=S.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:n,outSize:Math.ceil(e/n)})}return t}function Un(r,t,e,n){let o=Qtt(r.shape),s=r;for(let i=0;i<o.length;i++){let{inSize:a,windowSize:u,outSize:l}=o[i],c,p;e==="mean"?c=i===0?new ig({windowSize:u,inSize:a,batchSize:r.shape[0],outSize:l},a):new ig({windowSize:u,inSize:a,batchSize:r.shape[0],outSize:l}):c=new Zw({windowSize:u,inSize:a,batchSize:r.shape[0],outSize:l},e),p=s,s=n.runWebGLProgram(c,[s],t),p.dataId!==r.dataId&&n.disposeIntermediateTensorInfo(p)}return s}var Jw=class{constructor(t,e){this.variableNames=["A"];let n=new Array(t.length);for(let i=0;i<n.length;i++)n[i]=t[e[i]];this.outputShape=n,this.rank=n.length;let o=Wt(this.rank),s=tet(e);this.userCode= `
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void main ( ) {
$ { o } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { s } ) ) ;
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}
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` }};function tet(r){let t=r.length;if(t>6)throw Error( ` Transpose for rank $ { t } is not yet supported ` );let e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],n=new Array(t);for(let o=0;o<r.length;o++)n[r[o]]=e[o];return n.join()}var Qw=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(t.length);for(let c=0;c<n.length;c++)n[c]=t[e[c]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error( ` Packed transpose for rank $ { this . rank } is not yet supported . ` );let o=Wt(this.rank),s=pT("rc",this.rank),i=new Array(this.rank);for(let c=0;c<e.length;c++)i[e[c]]=s[c];let a= ` vec2 ( $ { i . slice ( - 2 ) . join ( ) } ) ` ,u= ` ++ $ { s [ this . rank - 1 ] } < $ { n [ this . rank - 1 ] } ` ,l= ` getChannel ( getA ( $ { i . join ( ) } ) , $ { a } ) ` ;this.userCode= `
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void main ( ) {
$ { o } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result [ 0 ] = $ { l } ;
if ( $ { u } ) {
result [ 1 ] = $ { l } ;
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}
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-- $ { s [ this . rank - 1 ] } ;
if ( ++ $ { s [ this . rank - 2 ] } < $ { n [ this . rank - 2 ] } ) {
result [ 2 ] = $ { l } ;
if ( $ { u } ) {
result [ 3 ] = $ { l } ;
}
}
setOutput ( result ) ;
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}
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` }};function Eu(r,t,e){let n=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Qw(r.shape,t):new Jw(r.shape,t);return e.runWebGLProgram(n,[r],r.dtype)}function yM(r,t,e,n){let o=t,s=r.shape.length,i=x.parseAxisParam(o,r.shape),a=i,u=S.getAxesPermutation(a,s),l=u!=null,c=r;l&&(c=Eu(r,u,n),a=S.getInnerMostAxes(a.length,s)),S.assertAxesAreInnerMostDims("sum",a,s);let[p,m]=S.computeOutAndReduceShapes(c.shape,a),f=p;e&&(f=S.expandShapeToKeepDim(p,i));let d=x.sizeFromShape(m),g=x.sizeFromShape(r.shape)/d,y=at({inputs:{x:c},attrs:{shape:[g,d]},backend:n}),b=Ku(r.dtype),w=Un(y,b,"sum",n),v=at({inputs:{x:w},attrs:{shape:f},backend:n});return n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(w),l&&n.disposeIntermediateTensorInfo(c),v}function Xc(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n;return yM(o,s,i,e)}var bM={kernelName:Ls,backendName:"webgl",kernelFunc:Xc};function Pe(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{perm:s}=n,i=e,a=o.shape.length,u=new Array(a);for(let c=0;c<u.length;c++)u[c]=o.shape[s[c]];let l;if(i.shouldExecuteOnCPU([o])){let p=i.texData.get(o.dataId).values,m=Kc(p,o.shape,o.dtype,s,u);l=i.makeTensorInfo(u,o.dtype);let f=i.texData.get(l.dataId);f.values=m}else l=Eu(o,s,i);return l}var wM={kernelName:Yn,backendName:"webgl",kernelFunc:Pe};var yT=1e3;function Yc({a:r,b:t,transposeA:e,transposeB:n,backend:o,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:a=0,activation:u=null}){let l=r.shape.length,c=t.shape.length,p=e?r.shape[l-2]:r.shape[l-1],m=n?t.shape[c-1]:t.shape[c-2],f=e?r.shape[l-1]:r.shape[l-2],d=n?t.shape[c-2]:t.shape[c-1],h=r.shape.slice(0,-2),g=t.shape.slice(0,-2),y=x.sizeFromShape(h),b=x.sizeFromShape(g),v=Pr.assertAndGetBroadcastShape(r.shape.slice(0,-2),t.shape.slice(0,-2)).concat([f,d]);x.assert(p===m,()=> ` Error in matMul : inner shapes ( $ { p } ) and ( $ { m } ) of Tensors with shapes $ { r . shape } and $ { t . shape } and transposeA = $ { e } and transposeB = $ { n } must match . ` );let N=e?[y,p,f]:[y,f,p],E=n?[b,d,m]:[b,m,d], $ =at({inputs:{x:r},backend:o,attrs:{shape:N}}),D=at({inputs:{x:t},backend:o,attrs:{shape:E}}),L=[ $ ,D],M=Math.max(y,b),G=e? $ .shape[1]: $ .shape[2],H=s!=null,q=i!=null,X=u==="leakyrelu",j=u!=null?_u(u,!0):null,J=H||q||X||j!=null,nt;if((f===1||d===1)&&G>yT&&J===!1){let ot= $ ,st=D;e&&(ot=Pe({inputs:{x: $ },backend:o,attrs:{perm:[0,2,1]}}),L.push(ot)),n&&(st=Pe({inputs:{x:D},backend:o,attrs:{perm:[0,2,1]}}),L.push(st));let it=d!==1,ft=d===1,lt=ot;it&&(lt=at({inputs:{x:ot},backend:o,attrs:{shape:[M,G,1]}}),L.push(lt));let xt=d===1?2:1,dt=st;ft&&(dt=at({inputs:{x:st},backend:o,attrs:{shape:[M,1,G]}}),L.push(dt));let bt=sg({inputs:{a:lt,b:dt},backend:o});nt=Xc({inputs:{x:bt},backend:o,attrs:{axis:xt,keepDims:!0}}),L.push(bt)}else{let ot=ir(r.dtype,t.dtype),st=new _d(N,E,[M,f,d],e,n,H,j,q,X),it=[ $ ,D];if(s!=null&&it.push(s),q&&it.push(i),X){let ft=o.makeTensorInfo([],"float32",x.createScalarValue(a,"float32"));it.push(ft),L.push(ft)}nt=o.runWebGLProgram(st,it,ot)}let K=at({inputs:{x:nt},backend:o,attrs:{shape:v}});L.push(nt);for(let ot of L)o.disposeIntermediateTensorInfo(ot);return K}function eet(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t,{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n;return Yc({a:o,b:s,transposeA:u,transposeB:l,backend:e,bias:i,preluActivationWeights:a,leakyreluAlpha:p,activation:c})}var vM={kernelName:Ni,backendName:"webgl",kernelFunc:eet};var CM="return abs(x);";function ret(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])&&n.dtype!=="complex64"){let s=e.texData.get(n.dataId),i=Uw(s.values);return e.makeTensorInfo(n.shape,n.dtype,i)}let o;return B().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new eo(n.shape,CM):o=new Zr(n.shape,CM),e.runWebGLProgram(o,[n],n.dtype)}var IM={kernelName:ci,backendName:"webgl",kernelFunc:ret};var net=fr+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
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}
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return acos ( x ) ;
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` ,oet=It({opSnippet:net}),SM={kernelName:ea,backendName:"webgl",kernelFunc:oet};var set=fr+ `
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if ( x < 1.0 ) return NAN ;
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return log ( x + sqrt ( x * x - 1.0 ) ) ; ` ,iet=It({opSnippet:set}),NM={kernelName:ra,backendName:"webgl",kernelFunc:iet};var kM="return a + b;",aet=ce({opSnippet:kM,packedOpSnippet:kM,supportsComplex:!0,cpuKernelImpl:iP}),TM={kernelName:jn,backendName:"webgl",kernelFunc:aet};var tv=class{constructor(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map((s,i)=> ` T$ { i } ` );let n=[];this.variableNames.forEach(s=>{n.push( ` float v$ { s } = get$ { s } AtOutCoords ( ) ; ` )});let o=this.variableNames.map(s=> ` v$ { s } ` ).join(" + ");this.userCode= `
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void main ( ) {
$ { n . join ( `
` )}
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float result = $ { o } ;
setOutput ( result ) ;
}
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` }};var ev=class{constructor(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map((s,i)=> ` T$ { i } ` );let n=[];this.variableNames.forEach(s=>{n.push( ` vec4 v$ { s } = get$ { s } AtOutCoords ( ) ; ` )});let o=this.variableNames.map(s=> ` v$ { s } ` ).join(" + ");this.userCode= `
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void main ( ) {
$ { n . join ( `
` )}
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vec4 result = $ { o } ;
setOutput ( result ) ;
}
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` }};function rv(r){let{inputs:t,backend:e}=r,n=t;if(n.length===1)return er({inputs:{x:n[0]},backend:e});if(n.length>B().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let u=Math.floor(n.length/2),l=rv({inputs:n.slice(0,u),backend:e}),c=rv({inputs:n.slice(u),backend:e});return rv({inputs:[l,c],backend:e})}let o=n.map(u=>u.dtype).reduce((u,l)=>ir(u,l)),s=n.map(u=>u.shape),a=B().getBool("WEBGL_PACK")?new ev(n[0].shape,s):new tv(n[0].shape,s);return e.runWebGLProgram(a,n,o)}var _M={kernelName:Ko,backendName:"webgl",kernelFunc:rv};function uet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=x.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims("all",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=x.sizeFromShape(f),h=at({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,"all",e),y;if(i){let b=S.expandShapeToKeepDim(m,u);y=at({inputs:{x:g},backend:e,attrs:{shape:b}})}else y=at({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),y}var EM={kernelName:na,backendName:"webgl",kernelFunc:uet};function cet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=x.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,a)),S.assertAxesAreInnerMostDims("any",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=x.sizeFromShape(f),h=at({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,"any",e),y;if(i){let b=S.expandShapeToKeepDim(m,u);y=at({inputs:{x:g},backend:e,attrs:{shape:b}})}else y=at({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),y}var AM={kernelName:oa,backendName:"webgl",kernelFunc:cet};var nv=class{constructor(t,e,n){this.variableNames=["A"];let{windowSize:o,batchSize:s,outSize:i}=t;n||this.variableNames.push("bestIndicesA"),this.outputShape=[s,i];let a=e==="max"?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = outIdx * $ { o } ;
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int bestIndex = inOffset ;
float bestValue = getA ( batch , bestIndex ) ;
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for ( int i = 0 ; i < $ { o } ; i ++ ) {
int inIdx = $ { u } ;
float candidate = getA ( batch , inIdx ) ;
if ( candidate $ { a } bestValue ) {
bestValue = candidate ;
bestIndex = inIdx ;
}
}
setOutput ( float ( bestIndex ) ) ;
}
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` }};var ov=class{constructor(t,e,n,o){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,x.assert(t.length>2,()=> ` Packed arg$ { n . charAt ( 0 ) . toUpperCase ( ) + n . slice ( 1 ) } supports only inputs with rank above 2. ` );let s=t[t.length-1],i=Math.ceil(s/e);this.outputShape=t.slice(0,-1),i>1&&this.outputShape.push(i),o||this.variableNames.push("bestIndicesA");let a=this.outputShape,u=a.length,l=Wt(u),c=tr("coords",u),p,m;if(i===1){m=u+1;let D=Wt(m);p= `
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$ { D } sourceLocR = $ { D } ( $ { c . join ( ) } , 0 ) ;
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++ $ { c [ u - 1 ] } ;
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$ { D } sourceLocG = $ { D } ( $ { c . join ( ) } , 0 ) ;
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++ $ { c [ u - 2 ] } ;
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$ { D } sourceLocA = $ { D } ( $ { c . join ( ) } , 0 ) ;
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-- $ { c [ u - 1 ] } ;
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$ { D } sourceLocB = $ { D } ( $ { c . join ( ) } , 0 ) ;
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-- $ { c [ u - 2 ] } ; ` }else m=u,p= `
$ { l } sourceLocR = coords ;
++ $ { c [ u - 1 ] } ;
$ { l } sourceLocG = coords ;
++ $ { c [ u - 2 ] } ;
$ { l } sourceLocA = coords ;
-- $ { c [ u - 1 ] } ;
$ { l } sourceLocB = coords ;
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-- $ { c [ u - 2 ] } ; ` ;let f=["x","y","z","w","u","v"].slice(0,m),d="."+f[m-1],h=f.map(D=>"int "+D),g=tr("sourceLocR",m-1).concat("inIdx.r"),y=tr("sourceLocG",m-1).concat("inIdx.g"),b=tr("sourceLocB",m-1).concat("inIdx.b"),w=tr("sourceLocA",m-1).concat("inIdx.a"),v=n==="max"?"greaterThan":"lessThan",N=o?"": `
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inIdx = round ( vec4 ( getBestIndicesAChannel ( $ { g . join ( ) } ) ,
getBestIndicesAChannel ( $ { y . join ( ) } ) ,
getBestIndicesAChannel ( $ { b . join ( ) } ) ,
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getBestIndicesAChannel ( $ { w . join ( ) } ) ) ) ; ` ,E= ` vec4 (
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getAChannel ( $ { g . join ( ) } ) ,
hasNextCol ? getAChannel ( $ { y . join ( ) } ) : 0. ,
hasNextRow ? getAChannel ( $ { b . join ( ) } ) : 0. ,
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hasNextRow && hasNextCol ? getAChannel ( $ { w . join ( ) } ) : 0. ) ` , $ =o?"": `
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float getBestIndicesAChannel ( $ { h . join ( ) } ) {
return getChannel ( getBestIndicesA ( $ { f . join ( ) } ) ,
vec2 ( $ { f . slice ( - 2 ) . join ( ) } ) ) ;
} ` ;this.userCode= `
float getAChannel ( $ { h . join ( ) } ) {
return getChannel ( getA ( $ { f . join ( ) } ) ,
vec2 ( $ { f . slice ( - 2 ) . join ( ) } ) ) ;
}
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$ { $ }
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void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
bool hasNextCol = $ { c [ u - 1 ] } < $ { a [ u - 1 ] - 1 } ;
bool hasNextRow = $ { c [ u - 2 ] } < $ { a [ u - 2 ] - 1 } ;
$ { p }
ivec4 srcIdx = ivec4 ( sourceLocR$ { d } , sourceLocG$ { d } ,
sourceLocB$ { d } , sourceLocA$ { d } ) * $ { e } ;
ivec4 inIdx = srcIdx ;
vec4 bestIndex = vec4 ( inIdx ) ;
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vec4 bestValue = $ { E } ;
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for ( int i = 0 ; i < $ { e } ; i ++ ) {
inIdx = srcIdx ;
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$ { N }
vec4 candidate = $ { E } ;
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bvec4 nan = isnan ( candidate ) ;
bvec4 replace = bvec4 (
vec4 ( $ { v } ( candidate , bestValue ) ) * ( vec4 ( 1.0 ) - vec4 ( nan ) ) ) ;
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bestValue = vec4 ( replace . x ? candidate . x : bestValue . x ,
replace . y ? candidate . y : bestValue . y ,
replace . z ? candidate . z : bestValue . z ,
replace . w ? candidate . w : bestValue . w ) ;
bestIndex = mix ( bestIndex , vec4 ( inIdx ) , vec4 ( replace ) ) ;
srcIdx ++ ;
}
setOutput ( bestIndex ) ;
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}
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` }};function $ M(r,t,e,n=null){let o=t.shape[0],s=t.shape[1];n!=null&&(o=n.shape[0],s=n.shape[1]);let i=S.computeOptimalWindowSize(s),a={windowSize:i,inSize:s,batchSize:o,outSize:Math.ceil(s/i)},u=new nv(a,e,n==null),l=[t];n!=null&&l.push(n);let c=r.runWebGLProgram(u,l,"int32");if(c.shape[1]===1)return c;let p= $ M(r,t,e,c);return r.disposeIntermediateTensorInfo(c),p}function DM(r,t,e,n=null){let o=n!=null?n.shape:t.shape,s=o[o.length-1],i=S.computeOptimalWindowSize(s),a=new ov(o,i,e,n==null),u=n==null?[t]:[t,n],l=r.runWebGLProgram(a,u,"int32");if(l.shape.length===t.shape.length){let c=DM(r,t,e,l);return r.disposeIntermediateTensorInfo(l),c}return l}function sv(r,t,e,n){let o=[e];if(S.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),o,t.shape.length),!B().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=r.texData.get(t.dataId),a=i!==null&&i.isPacked,u=t;a&&(u=r.unpackTensor(t),s.push(u));let[l,c]=S.computeOutAndReduceShapes(u.shape,o),p=x.sizeFromShape(c),m=at({inputs:{x:u},backend:r,attrs:{shape:[-1,p]}});s.push(m);let f= $ M(r,m,n);s.push(f);let d=at({inputs:{x:f},backend:r,attrs:{shape:l}});return s.forEach(h=>r.disposeIntermediateTensorInfo(h)),d}return DM(r,t,n)}function pet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=x.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Pe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims("argMax",[i[0]],u.shape.length);let c=sv(e,u,i[0],"max");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var FM={kernelName:jo,backendName:"webgl",kernelFunc:pet};function met(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s}=n,i=x.parseAxisParam(s,o.shape),a=S.getAxesPermutation(i,o.shape.length),u=o,l=[];a!=null&&(u=Pe({inputs:{x:o},backend:e,attrs:{perm:a}}),l.push(u),i=S.getInnerMostAxes(i.length,u.shape.length)),S.assertAxesAreInnerMostDims("argMin",[i[0]],u.shape.length);let c=sv(e,u,i[0],"min");return l.forEach(p=>e.disposeIntermediateTensorInfo(p)),c}var RM={kernelName:Cl,backendName:"webgl",kernelFunc:met};var fet=fr+ `
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if ( abs ( x ) > 1. ) {
return NAN ;
}
return asin ( x ) ;
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` ,det=It({opSnippet:fet}),OM={kernelName:sa,backendName:"webgl",kernelFunc:det};var het=fr+"return log(x + sqrt(x * x + 1.0));",get=It({opSnippet:het}),LM={kernelName:ia,backendName:"webgl",kernelFunc:get};var xet=fr+ `
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return atan ( x ) ;
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` ,yet=It({opSnippet:xet}),PM={kernelName:aa,backendName:"webgl",kernelFunc:yet};var bet=mM+ `
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return atan ( a , b ) ;
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` ,wet= `
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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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` +fM+ `
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return result ;
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` ,vet=ce({opSnippet:bet,packedOpSnippet:wet}),MM={kernelName:ua,backendName:"webgl",kernelFunc:vet};var Cet=fr+ `
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if ( ( x < - 1.0 ) || ( x > 1.0 ) ) return NAN ;
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return ( log ( 1.0 + x ) - log ( 1.0 - x ) ) / 2.0 ; ` ,Iet=It({opSnippet:Cet}),zM={kernelName:la,backendName:"webgl",kernelFunc:Iet};var si=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=["x"],e==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let i=t.filterWidth,a=t.strideHeight,u=t.strideWidth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterHeight,m=t.effectiveFilterWidth,f=t.padInfo.top,d=t.padInfo.left;this.outputShape=t.outShape;let h=e==="avg",g= ` ( ( batch * $ { t . inHeight } + xR ) * $ { t . inWidth } + xC ) * $ { t . inChannels } + d ` ,y= ` ( xR * $ { t . inWidth } + xC ) * $ { t . inChannels } + d ` ,b="0.0";if(h||(b="-1.0 / 1e-20"),n){let D=">=";this.userCode= `
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const ivec2 strides = ivec2 ( $ { a } , $ { u } ) ;
const ivec2 pads = ivec2 ( $ { f } , $ { d } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
float avgValue = 0.0 ;
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for ( int wR = 0 ; wR < $ { p } ;
wR += $ { l } ) {
int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { m } ;
wC += $ { c } ) {
int xC = xCCorner + wC ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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float value = getX ( batch , xR , xC , d ) ;
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// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
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if ( value $ { D } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { o ? s ? g : y : ` wR * ${ m } + wC ` } ;
}
}
}
setOutput ( float ( minMaxPosition ) ) ;
}
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` ;return}let w="max",v= ` $ { e } ( $ { e } ( $ { e } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;e==="avg"&&(v="avgValue / count");let N=Math.floor(i/4)*4,E=i%4, $ = `
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if ( $ { h } ) {
avgValue += dot ( values , ones ) ;
} else {
minMaxValue = $ { w } ( values , minMaxValue ) ;
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}
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` ;this.userCode= `
const ivec2 strides = ivec2 ( $ { a } , $ { u } ) ;
const ivec2 pads = ivec2 ( $ { f } , $ { d } ) ;
const float initializationValue = $ { b } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
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float count = 0.0 ;
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float getValue ( int batch , int xR , int xC , int d ) {
if ( xC < 0 || xC >= $ { t . inWidth } ) {
return initializationValue ;
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}
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count += 1.0 ;
return getX ( batch , xR , xC , d ) ;
}
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 xRCCorner = coords . yz * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { b } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wR = 0 ; wR < $ { p } ;
wR += $ { l } ) {
int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { N } ; wC += 4 ) {
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int xC = xCCorner + wC * $ { c } ;
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { c } , d ) ,
getValue ( batch , xR , xC + 2 * $ { c } , d ) ,
getValue ( batch , xR , xC + 3 * $ { c } , d )
) ;
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$ { $ }
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}
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int xC = xCCorner + $ { N } ;
if ( $ { E === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { $ }
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} else if ( $ { E === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { c } , d ) ,
initializationValue ,
initializationValue
) ;
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$ { $ }
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} else if ( $ { E === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , xR , xC , d ) ,
getValue ( batch , xR , xC + $ { c } , d ) ,
getValue ( batch , xR , xC + 2 * $ { c } , d ) ,
initializationValue
) ;
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$ { $ }
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}
}
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setOutput ( $ { v } ) ;
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}
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` }},Au=class{constructor(t,e,n,o=!1,s=!1){if(this.variableNames=["x"],e==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let i=t.filterWidth,a=t.strideDepth,u=t.strideHeight,l=t.strideWidth,c=t.dilationDepth,p=t.dilationHeight,m=t.dilationWidth,f=t.effectiveFilterDepth,d=t.effectiveFilterHeight,h=t.effectiveFilterWidth,g=t.padInfo.front,y=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;let w=e==="avg",v="0.0";if(w||(v="-1.0 / 1e-20"),n){let M=">=";this.userCode= `
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const ivec3 strides =
ivec3 ( $ { a } , $ { u } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { g } , $ { y } , $ { b } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
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// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0 ;
float minMaxValueFound = 0.0 ;
int minMaxPosition = 0 ;
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for ( int wD = 0 ; wD < $ { f } ;
wD += $ { c } ) {
int xD = xDCorner + wD ;
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if ( xD < 0 || xD >= $ { t . inDepth } ) {
continue ;
}
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for ( int wR = 0 ; wR < $ { d } ;
wR += $ { p } ) {
int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { h } ;
wC += $ { m } ) {
int xC = xCCorner + wC ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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float value = getX ( batch , xD , xR , xC , ch ) ;
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// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix (
value , minMaxValue , minMaxValueFound ) ;
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if ( value $ { M } currMinMaxValue ) {
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minMaxValue = value ;
minMaxValueFound = 1.0 ;
minMaxPosition = $ { o ? s ? ` (((batch * ${ t . inDepth } + xD) * ${ t . inHeight } + xR) * ${ t . inWidth } + xC) * ${ t . inChannels } + ch ` : ` ((xD * ${ t . inHeight } + xR) * ${ t . inWidth } + xC) * ${ t . inChannels } + ch ` : ` wD * ${ d } * ${ h } +
wR * $ { h } + wC ` };
}
}
}
}
setOutput ( float ( minMaxPosition ) ) ;
}
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` ;return}let N="max",E= ` $ { e } ( $ { e } ( $ { e } ( minMaxValue [ 0 ] , minMaxValue [ 1 ] ) , minMaxValue [ 2 ] ) , minMaxValue [ 3 ] ) ` ;e==="avg"&&(E="avgValue / count");let $ =Math.floor(i/4)*4,D=i%4,L= `
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if ( $ { w } ) {
avgValue += dot ( values , ones ) ;
} else {
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minMaxValue = $ { N } ( values , minMaxValue ) ;
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}
` ;this.userCode= `
const ivec3 strides =
ivec3 ( $ { a } , $ { u } , $ { l } ) ;
const ivec3 pads = ivec3 ( $ { g } , $ { y } , $ { b } ) ;
const float initializationValue = $ { v } ;
const vec4 ones = vec4 ( 1.0 , 1.0 , 1.0 , 1.0 ) ;
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float count = 0.0 ;
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float getValue ( int batch , int xD , int xR , int xC , int ch ) {
if ( xC < 0 || xC >= $ { t . inWidth } ) {
return initializationValue ;
}
count += 1.0 ;
return getX ( batch , xD , xR , xC , ch ) ;
}
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 xCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xDCorner = xCorner . x ;
int xRCorner = xCorner . y ;
int xCCorner = xCorner . z ;
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// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4 ( $ { v } ) ;
float avgValue = 0.0 ;
count = 0.0 ;
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for ( int wD = 0 ; wD < $ { f } ;
wD += $ { c } ) {
int xD = xDCorner + wD ;
if ( xD < 0 || xD >= $ { t . inDepth } ) {
continue ;
}
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for ( int wR = 0 ; wR < $ { d } ;
wR += $ { p } ) {
int xR = xRCorner + wR ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { $ } ; wC += 4 ) {
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int xC = xCCorner + wC * $ { m } ;
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { m } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { m } , ch ) ,
getValue ( batch , xD , xR , xC + 3 * $ { m } , ch )
) ;
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$ { L }
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}
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int xC = xCCorner + $ { $ } ;
if ( $ { D === 1 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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$ { L }
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} else if ( $ { D === 2 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { m } , ch ) ,
initializationValue ,
initializationValue
) ;
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$ { L }
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} else if ( $ { D === 3 } ) {
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vec4 values = vec4 (
getValue ( batch , xD , xR , xC , ch ) ,
getValue ( batch , xD , xR , xC + $ { m } , ch ) ,
getValue ( batch , xD , xR , xC + 2 * $ { m } , ch ) ,
initializationValue
) ;
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$ { L }
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}
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}
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setOutput ( $ { E } ) ;
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}
}
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` }};function Net(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;ni(o,"avgPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;x.assert(S.eitherStridesOrDilationsAreOne(i,l),()=> ` Error in avgPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${l}' ` );let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&x.arraysEqual(c.inShape,c.outShape))return er({inputs:{x:o},backend:e});let p=new si(c,"avg",!1);return e.runWebGLProgram(p,[o],"float32")}var BM={kernelName:Xo,backendName:"webgl",kernelFunc:Net};function ket(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dimRoundingMode:u,dataFormat:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,u,l),m=new Au(p,"avg",!1);return e.runWebGLProgram(m,[o],"float32")}var VM={kernelName:Il,backendName:"webgl",kernelFunc:ket};var iv=class{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterHeight,l=t.effectiveFilterWidth,c=u-1-t.padInfo.top,p=l-1-t.padInfo.left,m=1/(e*n);this.userCode= `
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const ivec2 pads = ivec2 ( $ { c } , $ { p } ) ;
const float avgMultiplier = float ( $ { m } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
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// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { u } ;
wR += $ { i } ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { l } ;
wC += $ { a } ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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float dyValue = getDy ( b , idyR , idyC , d ) ;
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dotProd += dyValue * avgMultiplier ;
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}
}
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setOutput ( dotProd ) ;
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}
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` }},av=class{constructor(t){this.variableNames=["dy"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.effectiveFilterDepth,m=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=p-1-t.padInfo.front,h=m-1-t.padInfo.top,g=f-1-t.padInfo.left,y=1/(e*n*o);this.userCode= `
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const ivec3 pads = ivec3 ( $ { d } , $ { h } , $ { g } ) ;
const float avgMultiplier = float ( $ { y } ) ;
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void main ( ) {
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ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
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// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wD = 0 ; wD < $ { p } ;
wD += $ { u } ) {
float dyD = float ( dyDCorner + wD ) / $ { s } . 0 ;
if ( dyD < 0.0 || dyD >= $ { t . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
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}
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int idyD = int ( dyD ) ;
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for ( int wR = 0 ; wR < $ { m } ;
wR += $ { l } ) {
float dyR = float ( dyRCorner + wR ) / $ { i } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
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continue ;
}
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int idyR = int ( dyR ) ;
for ( int wC = 0 ; wC < $ { f } ;
wC += $ { c } ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
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}
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int idyC = int ( dyC ) ;
float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
dotProd += dyValue * avgMultiplier ;
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}
}
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}
setOutput ( dotProd ) ;
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}
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` }};function Tet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new av(m);return e.runWebGLProgram(f,[o],i.dtype)}var GM={kernelName:vp,backendName:"webgl",kernelFunc:Tet};function _et(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s;ni([o,s],"avgPoolGrad");let{filterSize:a,strides:u,pad:l}=n,c=S.computePool2DInfo(i.shape,a,u,1,l),p=new iv(c);return e.runWebGLProgram(p,[o],i.dtype)}var WM={kernelName:wp,backendName:"webgl",kernelFunc:_et};function Eet(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s}=t,{transposeA:i,transposeB:a}=n;return Yc({a:o,b:s,transposeA:i,transposeB:a,backend:e})}var UM={kernelName:Yo,backendName:"webgl",kernelFunc:Eet};var lv=class{constructor(t,e,n,o,s,i){this.outputShape=[],this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a="0.0";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="1.0";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode= `
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void main ( ) {
float x = getXAtOutCoords ( ) ;
float mean = getMeanAtOutCoords ( ) ;
float variance = getVarianceAtOutCoords ( ) ;
float offset = $ { a } ;
float scale = $ { u } ;
float inv = scale * inversesqrt ( variance + float ( $ { i } ) ) ;
setOutput ( dot ( vec3 ( x , - mean , offset ) , vec3 ( inv , inv , 1 ) ) ) ;
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}
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` }};var uv=class{constructor(t,e,n,o,s,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],S.assertAndGetBroadcastShape(t,e),S.assertAndGetBroadcastShape(t,n);let a="vec4(0.0)";o!=null&&(S.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),a="getOffsetAtOutCoords()");let u="vec4(1.0)";s!=null&&(S.assertAndGetBroadcastShape(t,s),this.variableNames.push("scale"),u="getScaleAtOutCoords()"),this.outputShape=t,this.userCode= `
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void main ( ) {
vec4 offset = $ { a } ;
vec4 scale = $ { u } ;
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vec4 x = getXAtOutCoords ( ) ;
vec4 mean = getMeanAtOutCoords ( ) ;
vec4 variance = getVarianceAtOutCoords ( ) ;
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vec4 inv = scale * inversesqrt ( variance + vec4 ( $ { i } ) ) ;
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setOutput ( ( x - mean ) * inv + offset ) ;
}
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` }};var Aet=({inputs:r,backend:t,attrs:e})=>{let{x:n,mean:o,variance:s,offset:i,scale:a}=r;x.assert(o.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),x.assert(i==null||o.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),x.assert(a==null||o.shape.length===a.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:u}=e;u==null&&(u=.001);let l=[n,o,s],c=null;i!=null&&(c=i.shape,l.push(i));let p=null;a!=null&&(p=a.shape,l.push(a));let m=B().getBool("WEBGL_PACK_NORMALIZATION")?new uv(n.shape,o.shape,s.shape,c,p,u):new lv(n.shape,o.shape,s.shape,c,p,u);return t.runWebGLProgram(m,l,l[0].dtype)},HM={kernelName:us,backendName:"webgl",kernelFunc:Aet};var cv=class{constructor(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;let e=Wt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n= $ et(this.rank),o,s=t.map((i,a)=> ` sourceLoc . $ { bT [ a ] } = start [ $ { a } ] + coords . $ { bT [ a ] } ; ` );o= `
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$ { e } sourceLoc ;
$ { e } coords = getOutputCoords ( ) ;
$ { s . join ( `
` )}
` ,this.userCode= `
void main ( ) {
$ { o }
setOutput ( getSource ( $ { n } ) ) ;
}
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` }},bT=["x","y","z","w","u","v"];function $ et(r){if(r===1)return"sourceLoc";if(r<=6)return bT.slice(0,r).map(t=>"sourceLoc."+t).join(",");throw Error( ` Slicing for rank $ { r } is not yet supported ` )}var pv=class{constructor(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let e=Wt(this.rank),n=tr("coords",this.rank),o=tr("sourceLoc",this.rank),s=this.rank===1?"sourceLoc": ` vec2 ( $ { o . slice ( - 2 ) . join ( ) } ) ` ,i= ` getChannel ( getSource ( $ { o . join ( ) } ) , $ { s } ) ` ,a= `
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result . x = $ { i } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { t [ this . rank - 1 ] } ) {
++ $ { o [ this . rank - 1 ] } ;
result . y = $ { i } ;
-- $ { o [ this . rank - 1 ] } ;
}
` ,u=this.rank===1?"": `
-- $ { n [ this . rank - 1 ] } ;
if ( ++ $ { n [ this . rank - 2 ] } < $ { t [ this . rank - 2 ] } ) {
++ $ { o [ this . rank - 2 ] } ;
result . z = $ { i } ;
if ( ++ $ { n [ this . rank - 1 ] } < $ { t [ this . rank - 1 ] } ) {
++ $ { o [ this . rank - 1 ] } ;
result . w = $ { i } ;
}
}
` ,l=this.rank<=4? ` sourceLoc = coords +
$ { e } ( $ { t . map ( ( c , p ) => ` start[ ${ p } ] ` ) . join ( ) } ) ; ` :t.map((c,p)=> ` $ { o [ p ] } = $ { n [ p ] } + start [ $ { p } ] ; ` ).join( `
` );this.userCode= `
void main ( ) {
$ { e } coords = getOutputCoords ( ) ;
$ { e } sourceLoc ;
$ { l }
vec4 result = vec4 ( 0. ) ;
$ { a }
$ { u }
setOutput ( result ) ;
}
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` }};function Det(r,t,e,n){let o=n.texData.get(r.dataId),s=n.makeTensorInfo(e,r.dtype),i=n.texData.get(s.dataId);Object.assign(i,o),i.refCount=1,i.shape=e,i.dtype=r.dtype;let a=Be.computeFlatOffset(t,x.computeStrides(r.shape));o.slice&&(a+=o.slice.flatOffset),i.slice={flatOffset:a,origDataId:o.slice&&o.slice.origDataId||r.dataId};let u=n.dataRefCount.get(i.slice.origDataId)||1;return n.dataRefCount.set(i.slice.origDataId,u+1),s}function ii(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,size:i}=n,[a,u]=Be.parseSliceParams(o,s,i);if(Be.assertParamsValid(o,a,u),x.sizeFromShape(u)===0)return e.makeTensorInfo(u,o.dtype,[]);if(e.shouldExecuteOnCPU([o])||o.dtype==="string"){let p=e.texData.get(o.dataId),m=FP(p.values,a,u,o.shape,o.dtype);return e.makeTensorInfo(u,o.dtype,m)}let{isPacked:l}=e.texData.get(o.dataId),c=Be.isSliceContinous(o.shape,a,u);if(l||!c){let p=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new pv(u):new cv(u),m=[a];return e.runWebGLProgram(p,[o],o.dtype,m)}return e.uploadToGPU(o.dataId),Det(o,a,u,e)}var qM={kernelName:wi,backendName:"webgl",kernelFunc:ii};var Fet=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,crops:i}=n;x.assert(o.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let a=s.reduce((b,w)=>b*w),u=S.getReshaped(o.shape,s,a),l=S.getPermuted(u.length,s.length),c=S.getReshapedPermuted(o.shape,s,a),p=S.getSliceBeginCoords(i,s.length),m=S.getSliceSize(c,i,s.length),f=[],d=at({inputs:{x:o},backend:e,attrs:{shape:u}}),h=Pe({inputs:{x:d},backend:e,attrs:{perm:l}}),g=at({inputs:{x:h},backend:e,attrs:{shape:c}}),y=ii({inputs:{x:g},backend:e,attrs:{begin:p,size:m}});return f.push(d),f.push(h),f.push(g),f.forEach(b=>e.disposeIntermediateTensorInfo(b)),y},KM={kernelName:pi,backendName:"webgl",kernelFunc:Fet};function Ret(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i}=n,a=e.readSync(o.dataId),u=e.readSync(s.dataId),l=Ww(a,u,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,l)}var jM={kernelName:Cp,backendName:"webgl",kernelFunc:Ret};function Oet(r){let{inputs:t,backend:e}=r,{s0:n,s1:o}=t,s=e.readSync(n.dataId),i=e.readSync(o.dataId),a=S.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return e.makeTensorInfo([a.length],"int32",Int32Array.from(a))}var XM={kernelName:Ip,backendName:"webgl",kernelFunc:Oet};var Let="return float(a != b);",wT=ce({opSnippet:Let,cpuKernelImpl:TP,dtype:"bool"}),YM={kernelName:Ea,backendName:"webgl",kernelFunc:wT};function hl(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return er({inputs:{x:o.complexTensorInfos.real},backend:e})}var ZM={kernelName:Wp,backendName:"webgl",kernelFunc:hl};var Pet="return float(int(x));";function JM(r,t){let e=new Zr(r.shape,Pet),n=t.runWebGLProgram(e,[r],"int32");return{dataId:n.dataId,shape:n.shape,dtype:n.dtype}}function vT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dtype:s}=n;if(s==="complex64"){if(o.dtype==="complex64")return er({inputs:{x:o},backend:e});let i=Te(o.shape),a=vT({inputs:{x:o},backend:e,attrs:{dtype:"float32"}}),u=An({inputs:{real:a,imag:i},backend:e});return i.dispose(),e.disposeIntermediateTensorInfo(a),u}if(o.dtype==="complex64"){let i=hl({inputs:{input:o},backend:e}),a=vT({inputs:{x:i},backend:e,attrs:{dtype:s}});return e.disposeIntermediateTensorInfo(i),a}if(!x.hasEncodingLoss(o.dtype,s)){let i=er({inputs:{x:o},backend:e});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(s==="int32")return JM(o,e);if(s==="bool"){let i=e.makeTensorInfo([],"bool",x.getTypedArrayFromDType("bool",1)),u=wT({inputs:{a:o,b:i},backend:e});return e.disposeIntermediateTensorInfo(i),u}throw new Error( ` Error in Cast : failed to cast $ { o . dtype } to $ { s } ` )}var QM={kernelName:io,backendName:"webgl",kernelFunc:vT};var tz="return ceil(x);",Met=It({opSnippet:tz,packedOpSnippet:tz,cpuKernelImpl:lP}),ez={kernelName:Zo,backendName:"webgl",kernelFunc:Met};var mv=class{constructor(t){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode= `
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void main ( ) {
float value = getAAtOutCoords ( ) ;
if ( isnan ( value ) ) {
setOutput ( value ) ;
return ;
}
setOutput ( clamp ( value , minVal , maxVal ) ) ;
}
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` }};var fv=class{constructor(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=t,this.userCode= `
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void main ( ) {
vec4 value = getAAtOutCoords ( ) ;
if ( any ( isnan ( value ) ) ) {
setOutput ( value ) ;
return ;
}
setOutput ( clamp ( value , vec4 ( minVal ) , vec4 ( maxVal ) ) ) ;
}
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` }};function zet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{clipValueMin:s,clipValueMax:i}=n,a;B().getBool("WEBGL_PACK_CLIP")?a=new fv(o.shape):a=new mv(o.shape);let u=[[s],[i]];return e.runWebGLProgram(a,[o],o.dtype,u)}var rz={kernelName:ao,backendName:"webgl",kernelFunc:zet};var dv=class{constructor(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode= `
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void main ( ) {
float re = abs ( getRealAtOutCoords ( ) ) ;
float im = abs ( getImagAtOutCoords ( ) ) ;
float mx = max ( re , im ) ;
// sadly the length function in glsl is not underflow-safe
// (at least not on Intel GPUs). So the safe solution is
// to ensure underflow-safety in all cases.
setOutput (
mx == 0.0 ? 0.0 : mx * length ( vec2 ( 1 , min ( re , im ) / mx ) )
) ;
}
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` }};function nz(r,t){return{dataId:t.dataId,dtype:t.dtype,shape:r.shape}}function Bet(r){let{inputs:t,backend:e}=r,{x:n}=t,o=e.texData.get(n.dataId),s=new dv(n.shape),i=[nz(n,o.complexTensorInfos.real),nz(n,o.complexTensorInfos.imag)];return e.runWebGLProgram(s,i,i[0].dtype)}var oz={kernelName:Sl,backendName:"webgl",kernelFunc:Bet};var hv=class{constructor(t){this.outputShape=[],this.outputShape=S.computeOutShape(t,1),this.variableNames=t.map((i,a)=> ` T$ { a } ` );let e=new Array(t.length-1);e[0]=t[0][1];for(let i=1;i<e.length;i++)e[i]=e[i-1]+t[i][1];let n=[ ` if ( yC < $ { e [ 0 ] } ) setOutput ( getT0 ( yR , yC ) ) ; ` ];for(let i=1;i<e.length;i++){let a=e[i-1];n.push( ` else if ( yC < $ { e [ i ] } ) setOutput ( getT$ { i } ( yR , yC - $ { a } ) ) ; ` )}let o=e.length,s=e[e.length-1];n.push( ` else setOutput ( getT$ { o } ( yR , yC - $ { s } ) ) ; ` ),this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int yR = coords . x ;
int yC = coords . y ;
$ { n . join ( `
` )}
}
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` }};var xv=class{constructor(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=S.computeOutShape(t,e);let n=this.outputShape,o=n.length,s=Wt(o),i=tr("coords",o),a=["x","y","z","w","u","v"].slice(0,o);this.variableNames=t.map((h,g)=> ` T$ { g } ` );let u=new Array(t.length-1);u[0]=t[0][e];for(let h=1;h<u.length;h++)u[h]=u[h-1]+t[h][e];let l=a[e],c=a.slice(-2),p=a.join(),m= ` if ( $ { l } < $ { u [ 0 ] } ) {
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return getChannel (
getT0 ( $ { p } ) , vec2 ( $ { c . join ( ) } ) ) ;
} ` ;for(let h=1;h<u.length;h++){let g=u[h-1];m+= `
if ( $ { l } < $ { u [ h ] } && $ { l } >= $ { u [ h - 1 ] } ) {
return getChannel (
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getT$ { h } ( $ { gv ( a , l , g ) } ) ,
vec2 ( $ { gv ( c , l , g ) } ) ) ;
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} ` }let f=u.length,d=u[u.length-1];m+= `
return getChannel (
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getT$ { f } ( $ { gv ( a , l , d ) } ) ,
vec2 ( $ { gv ( c , l , d ) } ) ) ; ` ,this.userCode= `
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float getValue ( $ { a . map ( h => "int " + h ) } ) {
$ { m }
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}
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void main ( ) {
$ { s } coords = getOutputCoords ( ) ;
vec4 result = vec4 ( getValue ( $ { i } ) , 0. , 0. , 0. ) ;
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$ { i [ o - 1 ] } = $ { i [ o - 1 ] } + 1 ;
if ( $ { i [ o - 1 ] } < $ { n [ o - 1 ] } ) {
result . g = getValue ( $ { i } ) ;
}
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$ { i [ o - 2 ] } = $ { i [ o - 2 ] } + 1 ;
if ( $ { i [ o - 2 ] } < $ { n [ o - 2 ] } ) {
result . a = getValue ( $ { i } ) ;
}
$ { i [ o - 1 ] } = $ { i [ o - 1 ] } - 1 ;
if ( $ { i [ o - 2 ] } < $ { n [ o - 2 ] } &&
$ { i [ o - 1 ] } < $ { n [ o - 1 ] } ) {
result . b = getValue ( $ { i } ) ;
}
setOutput ( result ) ;
}
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` }};function gv(r,t,e){let n=r.indexOf(t);return r.map((s,i)=>i===n? ` $ { s } - $ { e } ` :s).join()}function Zc(r){let{inputs:t,backend:e}=r,{input:n}=t,o=e.texData.get(n.dataId);return er({inputs:{x:o.complexTensorInfos.imag},backend:e})}var sz={kernelName:Lp,backendName:"webgl",kernelFunc:Zc};function Ed(r,t,e){let n=r[0].dtype;if(n==="complex64"){let p=r.map(g=>hl({inputs:{input:g},backend:e})),m=r.map(g=>Zc({inputs:{input:g},backend:e})),f=Ed(p,t,e),d=Ed(m,t,e),h=An({inputs:{real:f,imag:d},backend:e});return p.forEach(g=>e.disposeIntermediateTensorInfo(g)),m.forEach(g=>e.disposeIntermediateTensorInfo(g)),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),h}let o=e.shouldExecuteOnCPU(r);if(n==="string"&&(o=!0),o){let p=r.map(b=>{let w=x.sizeFromShape(b.shape.slice(t));return at({inputs:{x:b},backend:e,attrs:{shape:[-1,w]}})}),m=p.map(b=>({vals:e.readSync(b.dataId),shape:b.shape})),f=S.computeOutShape(p.map(b=>b.shape),1),d=p[0].shape[0]===1,h=uP(m,f,n,d),g=S.computeOutShape(r.map(b=>b.shape),t),y=e.makeTensorInfo(g,n,h);return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),y}let s=B().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(r.length>s){let p=[];for(let f=0;f<r.length;f+=s){let d=r.slice(f,f+s);p.push(Ed(d,t,e))}let m=Ed(p,t,e);for(let f of p)e.disposeIntermediateTensorInfo(f);return m}if(B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&r[0].shape.length>1){let p=new xv(r.map(m=>m.shape),t);return e.runWebGLProgram(p,r,n)}let{tensors2D:i,outShape:a}=Vet(r,t,e),u=new hv(i.map(p=>p.shape)),l=e.runWebGLProgram(u,i,n);i.forEach(p=>e.disposeIntermediateTensorInfo(p));let c=at({inputs:{x:l},attrs:{shape:a},backend:e});return e.disposeIntermediateTensorInfo(l),c}function Vet(r,t,e){let n=S.computeOutShape(r.map(s=>s.shape),t);return{tensors2D:r.map(s=>at({inputs:{x:s},attrs:{shape:[-1,x.sizeFromShape(s.shape.slice(t))]},backend:e})),outShape:n}}function CT(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n,s=x.parseAxisParam(o,t[0].shape)[0],i=S.computeOutShape(t.map(l=>l.shape),s);if(x.sizeFromShape(i)===0)return e.makeTensorInfo(i,t[0].dtype,[]);let a=t.filter(l=>x.sizeFromShape(l.shape)>0);if(a.length===1)return er({inputs:{x:a[0]},backend:e});let u=a.map(l=>l.shape);return S.assertParamsConsistent(u,s),Ed(a,s,e)}var iz={kernelName:mi,backendName:"webgl",kernelFunc:CT};var Ad=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.outputShape=t.outShape;let i=t.padInfo.top,a=t.padInfo.left,u=t.strideHeight,l=t.strideWidth,c=t.dilationHeight,p=t.dilationWidth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4,g=t.dataFormat==="channelsLast",y=g?1:2,b=g?2:3,w=g?3:1,v="",N="";n&&(o?v= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :s?v= ` float activation ( float a ) {
float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :v= `
float activation ( float x ) {
$ { n }
}
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` ,N="result = activation(result);");let E=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
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$ { v }
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const ivec2 strides = ivec2 ( $ { u } , $ { l } ) ;
const ivec2 pads = ivec2 ( $ { i } , $ { a } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int batch = coords [ 0 ] ;
int d2 = coords [ $ { w } ] ;
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ivec2 xRCCorner =
ivec2 ( coords [ $ { y } ] , coords [ $ { b } ] ) * strides - pads ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
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// ? = to be determined. : = across all values in that axis.
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float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { m } ; wR ++ ) {
int xR = xRCorner + wR * $ { c } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { f } ; wC ++ ) {
int xC = xCCorner + wC * $ { p } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
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continue ;
}
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for ( int d1 = 0 ; d1 < $ { d } ; d1 += 4 ) {
vec4 wValues = vec4 (
getW ( wR , wC , d1 , d2 ) ,
getW ( wR , wC , d1 + 1 , d2 ) ,
getW ( wR , wC , d1 + 2 , d2 ) ,
getW ( wR , wC , d1 + 3 , d2 )
) ;
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if ( $ { g } ) {
vec4 xValues = vec4 (
getX ( batch , xR , xC , d1 ) ,
getX ( batch , xR , xC , d1 + 1 ) ,
getX ( batch , xR , xC , d1 + 2 ) ,
getX ( batch , xR , xC , d1 + 3 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec4 xValues = vec4 (
getX ( batch , d1 , xR , xC ) ,
getX ( batch , d1 + 1 , xR , xC ) ,
getX ( batch , d1 + 2 , xR , xC ) ,
getX ( batch , d1 + 3 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
}
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if ( $ { h === 1 } ) {
if ( $ { g } ) {
dotProd +=
getX ( batch , xR , xC , $ { d } ) *
getW ( wR , wC , $ { d } , d2 ) ;
} else {
dotProd +=
getX ( batch , $ { d } , xR , xC ) *
getW ( wR , wC , $ { d } , d2 ) ;
}
} else if ( $ { h === 2 } ) {
vec2 wValues = vec2 (
getW ( wR , wC , $ { d } , d2 ) ,
getW ( wR , wC , $ { d } + 1 , d2 )
) ;
if ( $ { g } ) {
vec2 xValues = vec2 (
getX ( batch , xR , xC , $ { d } ) ,
getX ( batch , xR , xC , $ { d } + 1 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec2 xValues = vec2 (
getX ( batch , $ { d } , xR , xC ) ,
getX ( batch , $ { d } + 1 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
} else if ( $ { h === 3 } ) {
vec3 wValues = vec3 (
getW ( wR , wC , $ { d } , d2 ) ,
getW ( wR , wC , $ { d } + 1 , d2 ) ,
getW ( wR , wC , $ { d } + 2 , d2 )
) ;
if ( $ { g } ) {
vec3 xValues = vec3 (
getX ( batch , xR , xC , $ { d } ) ,
getX ( batch , xR , xC , $ { d } + 1 ) ,
getX ( batch , xR , xC , $ { d } + 2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else {
vec3 xValues = vec3 (
getX ( batch , $ { d } , xR , xC ) ,
getX ( batch , $ { d } + 1 , xR , xC ) ,
getX ( batch , $ { d } + 2 , xR , xC )
) ;
dotProd += dot ( xValues , wValues ) ;
}
}
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}
}
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float result = dotProd ;
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$ { E }
$ { N }
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setOutput ( result ) ;
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}
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` }},yv=class{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;let e=t.padInfo.front,n=t.padInfo.top,o=t.padInfo.left,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=t.dilationDepth,l=t.dilationHeight,c=t.dilationWidth,p=t.filterDepth,m=t.filterHeight,f=t.filterWidth,d=Math.floor(t.inChannels/4)*4,h=t.inChannels%4;this.userCode= `
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const ivec3 strides = ivec3 ( $ { s } , $ { i } , $ { a } ) ;
const ivec3 pads = ivec3 ( $ { e } , $ { n } , $ { o } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
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int d2 = coords . u ;
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ivec3 xFRCCorner = ivec3 ( coords . y , coords . z , coords . w ) * strides - pads ;
int xFCorner = xFRCCorner . x ;
int xRCorner = xFRCCorner . y ;
int xCCorner = xFRCCorner . z ;
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// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
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float dotProd = 0.0 ;
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for ( int wF = 0 ; wF < $ { p } ; wF ++ ) {
int xF = xFCorner + wF * $ { u } ;
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if ( xF < 0 || xF >= $ { t . inDepth } ) {
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continue ;
}
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for ( int wR = 0 ; wR < $ { m } ; wR ++ ) {
int xR = xRCorner + wR * $ { l } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
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continue ;
}
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for ( int wC = 0 ; wC < $ { f } ; wC ++ ) {
int xC = xCCorner + wC * $ { c } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
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continue ;
}
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for ( int d1 = 0 ; d1 < $ { d } ; d1 += 4 ) {
vec4 xValues = vec4 (
getX ( batch , xF , xR , xC , d1 ) ,
getX ( batch , xF , xR , xC , d1 + 1 ) ,
getX ( batch , xF , xR , xC , d1 + 2 ) ,
getX ( batch , xF , xR , xC , d1 + 3 )
) ;
vec4 wValues = vec4 (
getW ( wF , wR , wC , d1 , d2 ) ,
getW ( wF , wR , wC , d1 + 1 , d2 ) ,
getW ( wF , wR , wC , d1 + 2 , d2 ) ,
getW ( wF , wR , wC , d1 + 3 , d2 )
) ;
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dotProd += dot ( xValues , wValues ) ;
}
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if ( $ { h === 1 } ) {
dotProd +=
getX ( batch , xF , xR , xC , $ { d } ) *
getW ( wF , wR , wC , $ { d } , d2 ) ;
} else if ( $ { h === 2 } ) {
vec2 xValues = vec2 (
getX ( batch , xF , xR , xC , $ { d } ) ,
getX ( batch , xF , xR , xC , $ { d } + 1 )
) ;
vec2 wValues = vec2 (
getW ( wF , wR , wC , $ { d } , d2 ) ,
getW ( wF , wR , wC , $ { d } + 1 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
} else if ( $ { h === 3 } ) {
vec3 xValues = vec3 (
getX ( batch , xF , xR , xC , $ { d } ) ,
getX ( batch , xF , xR , xC , $ { d } + 1 ) ,
getX ( batch , xF , xR , xC , $ { d } + 2 )
) ;
vec3 wValues = vec3 (
getW ( wF , wR , wC , $ { d } , d2 ) ,
getW ( wF , wR , wC , $ { d } + 1 , d2 ) ,
getW ( wF , wR , wC , $ { d } + 2 , d2 )
) ;
dotProd += dot ( xValues , wValues ) ;
}
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}
}
}
setOutput ( dotProd ) ;
}
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` }};var bv=class{constructor(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=t,this.enableShapeUniforms=De(this.outputShape.length);let{dataFormat:n}=e,o=He(),s=n==="channelsLast",i=s?1:2,a=s?2:3,u=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {": ` if ( blockIndex < $ { t [ 2 ] } && pos < $ { t [ 1 ] } ) { ` ,l="";for(let c=0;c<=1;c++)for(let p=0;p<=1;p++)l+= `
blockIndex = rc . z + $ { p } ;
pos = rc . y + $ { c } ;
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$ { u }
offsetY = int ( blockIndex / outWidth ) * stride [ 0 ] - pad [ 0 ] ;
d0 = offsetY + dilation [ 0 ] * ( pos / itemsPerBlockRow ) ;
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if ( d0 < inputShape [ $ { i } ] && d0 >= 0 ) {
// Use custom imod instead mod. On Intel GPU, mod may generate
// unexpected value.
// https://github.com/tensorflow/tfjs/issues/5447
offsetX = imod ( blockIndex , outWidth ) * stride [ 1 ] - pad [ 1 ] ;
d1 = offsetX + dilation [ 1 ] * ( imod ( pos , itemsPerBlockRow ) /
inChannels ) ;
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if ( d1 < inputShape [ $ { a } ] && d1 >= 0 ) {
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ch = imod ( pos , inChannels ) ;
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if ( $ { s } ) {
innerDims = vec2 ( d1 , ch ) ;
result [ $ { c * 2 + p } ] = getChannel (
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getA ( rc . x , d0 , int ( innerDims . x ) ,
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int ( innerDims . y ) ) , innerDims ) ;
} else {
innerDims = vec2 ( d0 , d1 ) ;
result [ $ { c * 2 + p } ] = getChannel (
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getA ( rc . x , ch , int ( innerDims . x ) ,
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int ( innerDims . y ) ) , innerDims ) ;
}
}
}
}
` ;this.userCode= `
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void main ( ) {
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ivec3 rc = getOutputCoords ( ) ;
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vec4 result = vec4 ( 0 ) ;
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int blockIndex , pos , offsetY , d0 , offsetX , d1 , ch ;
vec2 innerDims ;
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$ { l }
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$ { o . output } = result ;
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}
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` }};function wv(r,t){let e=r.length;return e>=3?t?[...r.slice(0,-3),r[e-3]*r[e-2],r[e-1]]:[...r.slice(0,-3),r[e-3],r[e-2]*r[e-1]]:!t&&e===1&&r[0]>1?[r[0],1]:null}function vv({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let u=r.shape,l=n.texData.get(r.dataId),c=e.inChannels,p=u[0]*u[1]*u[2],m=e.outChannels,f=e.dataFormat==="channelsLast",d=!1,h=!1,g,y=[];if(s!=null){let v=wv(s.shape,f);v!=null&&(s=at({inputs:{x:s},backend:n,attrs:{shape:v}}),y.push(s))}if(o!=null){let v=wv(o.shape,f);v!=null&&(o=at({inputs:{x:o},backend:n,attrs:{shape:v}}),y.push(o))}if(!((p===1||m===1)&&c>yT)&&l.isPacked&&f&&l.texture!=null&&u[2]%2!==0&&x.arraysEqual(l.shape.slice(-3),u.slice(-3))){let v=u[0]*u[1]*(u[2]+1),N={dataId:r.dataId,shape:[1,v,e.inChannels],dtype:r.dtype},E=l.shape;l.shape=l.shape.slice(),l.shape[l.shape.length-2]++,x.assert(Nu(l.shape,N.shape),()=> ` packed reshape $ { l . shape } to $ { N . shape } isn ' t free ` );let $ =at({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}});y.push( $ );let D=Yc({a:N,b: $ ,backend:n,transposeA:d,transposeB:h,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i}),L=n.texData.get(D.dataId);x.assert(L.isPacked,()=>"batchMatMul result is expected to be packed"),l.shape=E,L.shape=e.outShape,g=er({inputs:{x:D},backend:n}),g.shape=e.outShape,y.push(D)}else{let v=e.outHeight*e.outWidth,N=at({inputs:{x:r},backend:n,attrs:{shape:f?[e.batchSize,v,e.inChannels]:[e.batchSize,e.inChannels,v]}}),E=at({inputs:{x:t},backend:n,attrs:{shape:[1,e.inChannels,e.outChannels]}}), $ =Yc({a:f?N:E,b:f?E:N,transposeA:!f,transposeB:h,backend:n,bias:o,activation:a,preluActivationWeights:s,leakyreluAlpha:i});g=at({inputs:{x: $ },backend:n,attrs:{shape:e.outShape}}),y.push(N),y.push(E),y.push( $ )}for(let v of y)n.disposeIntermediateTensorInfo(v);return g}function Cv({x:r,filter:t,convInfo:e,backend:n,bias:o=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:a=null}){let{filterWidth:u,filterHeight:l,inChannels:c,outWidth:p,outHeight:m,dataFormat:f}=e,d=f==="channelsLast",h=u*l*c,g=m*p,y=[e.batchSize,h,g],b=!0,w=!1,v=[];if(s!=null){let K=wv(s.shape,d);K!=null&&(s=at({inputs:{x:s},backend:n,attrs:{shape:K}}),v.push(s))}if(o!=null){let K=wv(o.shape,d);K!=null&&(o=at({inputs:{x:o},backend:n,attrs:{shape:K}}),v.push(o))}let N=at({inputs:{x:t},backend:n,attrs:{shape:[1,h,x.sizeFromShape(t.shape)/h]}});v.push(N);let E=new bv(y,e), $ =[r.shape,[e.padInfo.top,e.padInfo.left],[e.strideHeight,e.strideWidth],[e.dilationHeight,e.dilationWidth],[e.inChannels],[e.filterWidth*e.inChannels],[e.outWidth]],D=n.runWebGLProgram(E,[r],"float32", $ ),L=at({inputs:{x:D},backend:n,attrs:{shape:y}});v.push(D),v.push(L);let M=o!=null,G=s!=null,H=a==="leakyrelu",q=a?_u(a,!0):null,X=new _d(d?L.shape:N.shape,d?N.shape:L.shape,d?[e.batchSize,g,e.outChannels]:[e.batchSize,e.outChannels,g],b,w,M,q,G,H),j=d?[L,N]:[N,L];if(o&&j.push(o),G&&j.push(s),H){let K=n.makeTensorInfo([],"float32",x.createScalarValue(i,"float32"));j.push(K),v.push(K)}let J=n.runWebGLProgram(X,j,"float32"),nt=at({inputs:{x:J},backend:n,attrs:{shape:e.outShape}});v.push(J);for(let K of v)n.disposeIntermediateTensorInfo(K);return nt}function Get(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dataFormat:u,dilations:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,s.shape,i,l,a,c,!1,p),f;if(m.filterHeight===1&&m.filterWidth===1&&m.dilationHeight===1&&m.dilationWidth===1&&m.strideHeight===1&&m.strideWidth===1&&(m.padInfo.type==="SAME"||m.padInfo.type==="VALID"))f=vv({x:o,filter:s,convInfo:m,backend:e});else if(B().getBool("WEBGL_CONV_IM2COL"))f=Cv({x:o,filter:s,convInfo:m,backend:e});else{let h=new Ad(m);f=e.runWebGLProgram(h,[o,s],"float32")}let d=at({inputs:{x:f},backend:e,attrs:{shape:m.outShape}});return e.disposeIntermediateTensorInfo(f),d}var az={kernelName:Jo,backendName:"webgl",kernelFunc:Get};var Iv=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.pad
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int d2 = coords . w ;
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// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int b = 0 ; b < $ { t . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { t . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { e } - $ { o } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int yC = 0 ; yC < $ { t . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { s } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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if ( $ { i } ) {
float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
} else {
float dyValue = getDy ( b , d2 , yR , yC ) ;
float xValue = getX ( b , d1 , xR , xC ) ;
dotProd += ( xValue * dyValue ) ;
}
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}
}
}
setOutput ( dotProd ) ;
}
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` }},Sv=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=t.dataFormat==="channelsLast",a=e-1-t.padInfo.top,u=n-1-t.padInfo.left,l=i?1:2,c=i?2:3,p=i?3:1;this.userCode= `
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const ivec2 pads = ivec2 ( $ { a } , $ { u } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int d1 = coords [ $ { p } ] ;
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ivec2 dyCorner = ivec2 ( coords [ $ { l } ] , coords [ $ { c } ] ) - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
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// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { e } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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int wRPerm = $ { e } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { n } - 1 - wC ;
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for ( int d2 = 0 ; d2 < $ { t . outChannels } ; d2 ++ ) {
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if ( $ { i } ) {
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
} else {
float xValue = getDy ( batch , d2 , idyR , idyC ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
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}
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}
}
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setOutput ( dotProd ) ;
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}
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` }},Nv=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.padInfo.front,i=t.padInfo.top,a=t.padInfo.left;this.userCode= `
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void main ( ) {
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ivec5 coords = getOutputCoords ( ) ;
int wF = coords . x ;
int wR = coords . y ;
int wC = coords . z ;
int d1 = coords . w ;
int d2 = coords . u ;
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float dotProd = 0.0 ;
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for ( int b = 0 ; b < $ { t . batchSize } ; b ++ ) {
for ( int yF = 0 ; yF < $ { t . outDepth } ; yF ++ ) {
int xF = wF + yF * $ { e } - $ { s } ;
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if ( xF < 0 || xF >= $ { t . inDepth } ) {
continue ;
}
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for ( int yR = 0 ; yR < $ { t . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { n } - $ { i } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int yC = 0 ; yC < $ { t . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { o } - $ { a } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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float dyValue = getDy ( b , yF , yR , yC , d2 ) ;
float xValue = getX ( b , xF , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
}
setOutput ( dotProd ) ;
}
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` }},kv=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterDepth,n=t.filterHeight,o=t.filterWidth,s=t.strideDepth,i=t.strideHeight,a=t.strideWidth,u=e-1-t.padInfo.front,l=n-1-t.padInfo.top,c=o-1-t.padInfo.left;this.userCode= `
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const ivec3 pads = ivec3 ( $ { u } , $ { l } , $ { c } ) ;
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void main ( ) {
ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . u ;
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ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyFCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
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float dotProd = 0.0 ;
for ( int wF = 0 ; wF < $ { e } ; wF ++ ) {
float dyF = float ( dyFCorner + wF ) / $ { s } . 0 ;
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if ( dyF < 0.0 || dyF >= $ { t . outDepth } . 0 || fract ( dyF ) > 0.0 ) {
continue ;
}
int idyF = int ( dyF ) ;
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int wFPerm = $ { e } - 1 - wF ;
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for ( int wR = 0 ; wR < $ { n } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { i } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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int wRPerm = $ { n } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { o } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { a } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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int wCPerm = $ { o } - 1 - wC ;
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for ( int d2 = 0 ; d2 < $ { t . outChannels } ; d2 ++ ) {
float xValue = getDy ( batch , idyF , idyR , idyC , d2 ) ;
float wValue = getW ( wFPerm , wRPerm , wCPerm , d1 , d2 ) ;
dotProd += xValue * wValue ;
}
}
}
}
setOutput ( dotProd ) ;
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}
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` }};function Wet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,dataFormat:u,dimRoundingMode:l,filterShape:c}=n,p=S.convertConv2DDataFormat(u),m=S.computeConv2DInfo(o.shape,c,i,1,a,l,!1,p),f=new Iv(m);return e.runWebGLProgram(f,[o,s],"float32")}var lz={kernelName:Np,backendName:"webgl",kernelFunc:Wet};function Uet(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{inputShape:i,strides:a,pad:u,dataFormat:l,dimRoundingMode:c}=n,p=S.convertConv2DDataFormat(l),m=S.computeConv2DInfo(i,s.shape,a,1,u,c,!1,p),f=new Sv(m);return e.runWebGLProgram(f,[o,s],"float32")}var uz={kernelName:Qo,backendName:"webgl",kernelFunc:Uet};function Het(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeConv3DInfo(o.shape,s.shape,i,u,a),c=new yv(l);return e.runWebGLProgram(c,[o,s],"float32")}var cz={kernelName:Nl,backendName:"webgl",kernelFunc:Het};function qet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,pad:a,filterShape:u}=n,l=S.computeConv3DInfo(o.shape,u,i,1,a),c=new Nv(l);return e.runWebGLProgram(c,[o,s],"float32")}var pz={kernelName:kp,backendName:"webgl",kernelFunc:qet};function Ket(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{pad:i,strides:a,inputShape:u}=n,l=S.computeConv3DInfo(u,s.shape,a,1,i),c=new kv(l);return e.runWebGLProgram(c,[o,s],"float32")}var mz={kernelName:Tp,backendName:"webgl",kernelFunc:Ket};var jet=Ro+ `
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return cos ( x ) ;
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` ,Xet=It({opSnippet:jet}),fz={kernelName:ts,backendName:"webgl",kernelFunc:Xet};var Yet= `
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float e2x = exp ( - x ) ;
return ( e2x + 1.0 / e2x ) / 2.0 ;
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` ,Zet=It({opSnippet:Yet}),dz={kernelName:es,backendName:"webgl",kernelFunc:Zet};var Tv=class{constructor(t,e,n,o,s){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[i,a,u,l]=t,[c]=e,[p,m]=n;this.outputShape=[c,p,m,l];let f=o==="bilinear"?1:0,[d,h]=[ ` $ { a - 1 } . 0 ` , ` $ { u - 1 } . 0 ` ],[g,y,b]=p>1?[ ` $ { ( a - 1 ) / ( p - 1 ) } ` ,"(y2-y1) * height_ratio", ` y1 * $ { d } + float ( y ) * ( height _scale ) ` ]:["0.0","0.0", ` 0.5 * ( y1 + y2 ) * $ { d } ` ],[w,v,N]=m>1?[ ` $ { ( u - 1 ) / ( m - 1 ) } ` ,"(x2-x1) * width_ratio", ` x1 * $ { h } + float ( x ) * ( width _scale ) ` ]:["0.0","0.0", ` 0.5 * ( x1 + x2 ) * $ { h } ` ];this.userCode= `
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const float height _ratio = float ( $ { g } ) ;
const float width _ratio = float ( $ { w } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
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int y = coords [ 1 ] ;
int x = coords [ 2 ] ;
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int d = coords [ 3 ] ;
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// get box vals
float y1 = getBoxes ( b , 0 ) ;
float x1 = getBoxes ( b , 1 ) ;
float y2 = getBoxes ( b , 2 ) ;
float x2 = getBoxes ( b , 3 ) ;
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// get image in batch index
int bInd = round ( getBoxInd ( b ) ) ;
if ( bInd < 0 || bInd >= $ { i } ) {
return ;
}
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float height _scale = $ { y } ;
float width _scale = $ { v } ;
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float in _y = $ { b } ;
if ( in _y < 0.0 || in _y > $ { d } ) {
setOutput ( float ( $ { s } ) ) ;
return ;
}
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float in _x = $ { N } ;
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if ( in _x < 0.0 || in _x > $ { h } ) {
setOutput ( float ( $ { s } ) ) ;
return ;
}
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vec2 sourceFracIndexCR = vec2 ( in _x , in _y ) ;
if ( $ { f } == 1 ) {
// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2 ( sourceFracIndexCR ) ;
ivec2 sourceCeilCR = ivec2 ( ceil ( sourceFracIndexCR ) ) ;
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float topLeft = getImage ( b , sourceFloorCR . y , sourceFloorCR . x , d ) ;
float bottomLeft = getImage ( b , sourceCeilCR . y , sourceFloorCR . x , d ) ;
float topRight = getImage ( b , sourceFloorCR . y , sourceCeilCR . x , d ) ;
float bottomRight = getImage ( b , sourceCeilCR . y , sourceCeilCR . x , d ) ;
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vec2 fracCR = sourceFracIndexCR - vec2 ( sourceFloorCR ) ;
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float top = topLeft + ( topRight - topLeft ) * fracCR . x ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracCR . x ;
float newValue = top + ( bottom - top ) * fracCR . y ;
setOutput ( newValue ) ;
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2 ( floor (
sourceFracIndexCR + vec2 ( 0.5 , 0.5 ) ) ) ;
float newValue = getImage ( b , sourceNearestCR . y , sourceNearestCR . x , d ) ;
setOutput ( newValue ) ;
}
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}
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` }};var Jet=r=>{let{inputs:t,backend:e,attrs:n}=r,{image:o,boxes:s,boxInd:i}=t,{cropSize:a,method:u,extrapolationValue:l}=n,c=new Tv(o.shape,s.shape,a,u,l);return e.runWebGLProgram(c,[o,s,i],"float32")},hz={kernelName:pa,backendName:"webgl",kernelFunc:Jet};var Jc;(function(r){r.Prod="*",r.Sum="+"})(Jc||(Jc={}));var ag=class{constructor(t,e,n,o){this.op=t,this.outputShape=e,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let s=this.outputShape.length,i=this.op===Jc.Prod?"1.0":"0.0",a=n?i: ` getX ( $ { gz ( s , "coords" , this . op ) } ) ` ,u=this.outputShape[this.outputShape.length-1],l="",c="";n?(l=o? ` end != $ { u - 1 } ` :"end != 0",c=o?"end + 1":"end - 1"):(l=o? ` end + pow2 < $ { u } ` :"end >= pow2",c=o?"end + pow2":"end - pow2"),this.userCode= `
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void main ( ) {
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$ { Wt ( s ) } coords = getOutputCoords ( ) ;
int end = $ { xz ( s , "coords" , this . op ) } ;
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float val = $ { a } ;
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int pow2 = int ( pow ( 2.0 , index ) ) ;
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if ( $ { l } ) {
int idx = $ { c } ;
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$ { xz ( s , "coords" , this . op ) } = idx ;
val $ { this . op } = getX ( $ { gz ( s , "coords" , this . op ) } ) ;
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}
setOutput ( val ) ;
}
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` }};function gz(r,t,e){if(r===1)return ` $ { t } ` ;if(r===2)return ` $ { t } . x , $ { t } . y ` ;if(r===3)return ` $ { t } . x , $ { t } . y , $ { t } . z ` ;if(r===4)return ` $ { t } . x , $ { t } . y , $ { t } . z , $ { t } . w ` ;throw new Error( ` Cumulative $ { e } for rank $ { r } is not yet supported ` )}function xz(r,t,e){if(r===1)return ` $ { t } ` ;if(r===2)return ` $ { t } . y ` ;if(r===3)return ` $ { t } . z ` ;if(r===4)return ` $ { t } . w ` ;throw new Error( ` Cumulative $ { e } for rank $ { r } is not yet supported ` )}function _v(r,t,e,n,o,s){let i=t.shape.length,a=S.getAxesPermutation([n],i),u=t;a!=null&&(u=Pe({inputs:{x:t},backend:e,attrs:{perm:a}}));let l=S.getInnerMostAxes(1,i)[0];if(l!==i-1)throw new Error( ` WebGL cumprod shader expects an inner - most axis = $ { t . shape . length - 1 } but got axis = $ { n } ` );let c=u.shape[l],p=er({inputs:{x:u},backend:e});for(let m=0;m<=Math.ceil(Math.log2(c))-1;m++){let f=new ag(r,u.shape,!1,s),d=[[m]],h=p;p=e.runWebGLProgram(f,[p],p.dtype,d),e.disposeIntermediateTensorInfo(h)}if(o){let m=new ag(r,u.shape,o,s),f=p;p=e.runWebGLProgram(m,[p],p.dtype),e.disposeIntermediateTensorInfo(f)}if(a!=null){let m=S.getUndoAxesPermutation(a),f=Pe({inputs:{x:p},backend:e,attrs:{perm:m}});return e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(u),f}return p}function Qet(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return _v(Jc.Prod,o,e,s,i,a)}var yz={kernelName:ca,backendName:"webgl",kernelFunc:Qet};function trt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,exclusive:i,reverse:a}=n;return _v(Jc.Sum,o,e,s,i,a)}var bz={kernelName:rs,backendName:"webgl",kernelFunc:trt};function ert(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,weights:s}=t,{size:i,binaryOutput:a}=n;if(o.shape.length===1){let u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=Ww(u,l,s.dtype,s.shape,i);return e.makeTensorInfo([i],s.dtype,c)}else if(o.shape.length===2){let u=e.bufferSync(o),l=e.bufferSync(s),c=aP(u,l,i,a);return e.makeTensorInfo(c.shape,s.dtype,c.values)}throw new Error( ` Error in denseBincount : input must be at most rank 2 , but got rank$ { o . shape . length } . ` )}var wz={kernelName:_p,backendName:"webgl",kernelFunc:ert};var Ev=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int h = $ { this . getHeightCoordString ( ) } ;
int w = $ { this . getWidthCoordString ( ) } ;
int d = $ { this . getDepthCoordString ( ) } ;
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int in _h = h / $ { e } ;
int offset _h = imod ( h , $ { e } ) ;
int in _w = w / $ { e } ;
int offset _w = imod ( w , $ { e } ) ;
int offset _d = ( offset _h * $ { e } + offset _w ) *
$ { this . getOutputDepthSize ( ) } ;
int in _d = d + offset _d ;
float result = $ { this . getInputSamplingString ( ) } ;
setOutput ( result ) ;
}
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` }getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function rrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockSize:s,dataFormat:i}=n,a=o.shape[0],u=i==="NHWC"?o.shape[1]:o.shape[2],l=i==="NHWC"?o.shape[2]:o.shape[3],c=i==="NHWC"?o.shape[3]:o.shape[1],p=u*s,m=l*s,f=c/(s*s),d=i==="NHWC"?[a,p,m,f]:[a,f,p,m],h=new Ev(d,s,i);return e.runWebGLProgram(h,[o],o.dtype)}var vz={kernelName:ma,backendName:"webgl",kernelFunc:rrt};var $ d=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=De(this.outputShape.length);let i=t.filterHeight,a=t.filterWidth,u=t.outChannels/t.inChannels,l="",c="";n&&(o?l= ` float activation ( float a ) {
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float b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :s?l= ` float activation ( float a ) {
float b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :l= `
float activation ( float x ) {
$ { n }
}
` ,c="result = activation(result);");let p=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { l }
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 / $ { u } ;
int q = d2 - d1 * $ { u } ;
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int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
for ( int wR = 0 ; wR < $ { i } ; wR ++ ) {
int xR = xRCorner + wR * dilations [ 0 ] ;
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if ( xR < 0 || xR >= inDims [ 0 ] ) {
continue ;
}
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for ( int wC = 0 ; wC < $ { a } ; wC ++ ) {
int xC = xCCorner + wC * dilations [ 1 ] ;
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if ( xC < 0 || xC >= inDims [ 1 ] ) {
continue ;
}
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float xVal = getX ( batch , xR , xC , d1 ) ;
float wVal = getW ( wR , wC , d1 , q ) ;
dotProd += xVal * wVal ;
}
}
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float result = dotProd ;
$ { p }
$ { c }
setOutput ( result ) ;
}
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` }};var Dd=class{constructor(t,e=!1,n=null,o=!1,s=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=t.outShape,this.enableShapeUniforms=De(this.outputShape.length);let i=t.outChannels/t.inChannels,a=t.padInfo.left,u=t.strideWidth,l=t.dilationWidth,c=t.filterHeight,p=t.filterWidth,m=p,f= `
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int xR ; int xC ; int xCOffset ;
vec4 wTexel ; vec4 previous ; vec4 final ; ` ;for(let y=0;y<p;y++)f+= `
vec4 xTexelC$ { y * 2 } ;
int xTexelC$ { y * 2 } Ready ;
vec4 xTexelC$ { y * 2 + 1 } ;
int xTexelC$ { y * 2 + 1 } Ready ;
vec4 xC$ { y } ; ` ;f+= `
for ( int r = 0 ; r < $ { c } ; r ++ ) {
` ;for(let y=0;y<p;y++)f+= `
xTexelC$ { y * 2 } = vec4 ( 0.0 ) ;
xTexelC$ { y * 2 } Ready = 0 ;
xTexelC$ { y * 2 + 1 } = vec4 ( 0.0 ) ;
xTexelC$ { y * 2 + 1 } Ready = 0 ;
xC$ { y } = vec4 ( 0.0 ) ; ` ;f+= `
xR = xRCorner + r * dilations [ 0 ] ;
if ( xR >= 0 && xR < inDims [ 0 ] ) {
` ;for(let y=0;y<(m+1)/2;y++){let b=y*2;if(f+= `
xC = xCCorner + $ { b * l } ;
` ,u===1){if(b<p&&(a%2===1?(f+= `
xCOffset = xC + 1 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xCOffset , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
` ,l===1&&b>0?f+= `
xC$ { b } = vec4 ( xTexelC$ { b - 2 } . zw , xTexelC$ { b } . xy ) ;
` :f+= `
xCOffset = xC + 1 - 2 ;
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if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
previous = getX ( batch , xR , xCOffset , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
previous . zw = vec2 ( 0.0 ) ;
}
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xC$ { b } = vec4 ( previous . zw , xTexelC$ { b } . xy ) ;
} else {
xC$ { b } = vec4 ( 0.0 , 0.0 , xTexelC$ { b } . xy ) ;
}
` ):f+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
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xC$ { b } = xTexelC$ { b } ;
` ,b+1<p)){let w=a%2===0?x.nearestLargerEven(l):l;l%2===0&&a%2===1||l%2!==0&&a%2!==1?(f+= `
xCOffset = xC + imod ( pads [ 1 ] , 2 ) + $ { w } ;
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if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
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// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
` ,l>1&&(f+= `
xCOffset -= 2 ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xCOffset , d1 ) ;
xTexelC$ { b } Ready = 1 ;
}
` ),f+= `
xC$ { b + 1 } = vec4 ( xTexelC$ { b } . zw , xTexelC$ { b + 1 } . xy ) ;
` ):w===1?f+= `
xC$ { b + 1 } = xTexelC$ { b } ;
` :f+= `
xCOffset = xC + $ { w } ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
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xC$ { b + 1 } = xTexelC$ { b + 1 } ;
` }}else b<p&&(a%2===1?(f+= `
xCOffset = xC + 1 - strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xCOffset , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
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if ( xC + 1 >= 0 && xC + 1 < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xC + 1 , d1 ) ;
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if ( xC + 2 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
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xC$ { b } = vec4 ( xTexelC$ { b } . zw , xTexelC$ { b + 1 } . zw ) ;
` ,b+1<p&&(f+= `
final = vec4 ( 0.0 ) ;
xCOffset = xC + 1 + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] ) {
final = getX ( batch , xR , xCOffset , d1 ) ;
}
xC$ { b + 1 } = vec4 ( xTexelC$ { b + 1 } . xy , final . xy ) ;
` )):(f+= `
if ( xC >= 0 && xC < inDims [ 1 ] && xTexelC$ { b } Ready == 0 ) {
xTexelC$ { b } = getX ( batch , xR , xC , d1 ) ;
if ( xC + 1 >= inDims [ 1 ] ) {
xTexelC$ { b } . zw = vec2 ( 0.0 ) ;
}
xTexelC$ { b } Ready = 1 ;
}
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xCOffset = xC + strides [ 1 ] ;
if ( xCOffset >= 0 && xCOffset < inDims [ 1 ] && xTexelC$ { b + 1 } Ready == 0 ) {
xTexelC$ { b + 1 } = getX ( batch , xR , xCOffset , d1 ) ;
if ( xCOffset + 1 >= inDims [ 1 ] ) {
xTexelC$ { b + 1 } . zw = vec2 ( 0. ) ;
}
xTexelC$ { b + 1 } Ready = 1 ;
}
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xC$ { b } = vec4 (
xTexelC$ { b } . xy , xTexelC$ { b + 1 } . xy ) ;
` ,b+1<p&&(f+= `
xC$ { b + 1 } = vec4 ( xTexelC$ { b } . zw , xTexelC$ { b + 1 } . zw ) ;
` )));b<p&&(f+= `
wTexel = getW ( r , $ { b } , d1 , q ) ;
dotProd += xC$ { b } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ,b+1<p&&(f+= `
wTexel = getW ( r , $ { b + 1 } , d1 , q ) ;
dotProd += xC$ { b + 1 } * vec4 ( wTexel . xz , wTexel . xz ) ;
` ))}f+= `
}
` ,f+= `
}
` ;let d="",h="";n&&(o?d= ` vec4 activation ( vec4 a ) {
vec4 b = getPreluActivationWeightsAtOutCoords ( ) ;
$ { n }
} ` :s?d= ` vec4 activation ( vec4 a ) {
vec4 b = getLeakyreluAlphaAtOutCoords ( ) ;
$ { n }
} ` :d= ` vec4 activation ( vec4 x ) {
$ { n }
} ` ,h="result = activation(result);");let g=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),s&&this.variableNames.push("leakyreluAlpha"),this.userCode= `
$ { d }
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int batch = coords . x ;
ivec2 xRCCorner = coords . yz * strides - pads ;
int d2 = coords . w ;
int d1 = d2 / $ { i } ;
int q = d2 - d1 * $ { i } ;
int xRCorner = xRCCorner . x ;
int xCCorner = xRCCorner . y ;
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//intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.
vec4 dotProd = vec4 ( 0.000000000000001 ) ;
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$ { f }
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vec4 result = dotProd - vec4 ( 0.000000000000001 ) ;
$ { g }
$ { h }
setOutput ( result ) ;
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}
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` }};function nrt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u,dimRoundingMode:l}=n,c=u;c==null&&(c=[1,1]),x.assert(S.eitherStridesOrDilationsAreOne(i,c),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { i } and dilations '${c}' ` );let p=S.computeConv2DInfo(o.shape,s.shape,i,c,a,l,!0),m;B().getBool("WEBGL_PACK_DEPTHWISECONV")&&p.strideWidth<=2&&p.outChannels/p.inChannels===1?m=new Dd(p):m=new $ d(p);let f=[[p.padInfo.top,p.padInfo.left],[p.strideHeight,p.strideWidth],[p.dilationHeight,p.dilationWidth],[p.inHeight,p.inWidth]];return e.runWebGLProgram(m,[o,s],"float32",f)}var Cz={kernelName:ns,backendName:"webgl",kernelFunc:nrt};var Av=class{constructor(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;let e=t.strideHeight,n=t.strideWidth,o=t.padInfo.top,s=t.padInfo.left,i=t.outChannels/t.inChannels;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int wR = coords . x ;
int wC = coords . y ;
int d1 = coords . z ;
int dm = coords . w ;
int d2 = d1 * $ { i } + dm ;
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float dotProd = 0.0 ;
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// TO DO: Vec4 over the batch size
for ( int b = 0 ; b < $ { t . batchSize } ; b ++ ) {
for ( int yR = 0 ; yR < $ { t . outHeight } ; yR ++ ) {
int xR = wR + yR * $ { e } - $ { o } ;
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if ( xR < 0 || xR >= $ { t . inHeight } ) {
continue ;
}
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for ( int yC = 0 ; yC < $ { t . outWidth } ; yC ++ ) {
int xC = wC + yC * $ { n } - $ { s } ;
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if ( xC < 0 || xC >= $ { t . inWidth } ) {
continue ;
}
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float dyValue = getDy ( b , yR , yC , d2 ) ;
float xValue = getX ( b , xR , xC , d1 ) ;
dotProd += ( xValue * dyValue ) ;
}
}
}
setOutput ( dotProd ) ;
}
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` }}, $ v=class{constructor(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;let e=t.filterHeight,n=t.filterWidth,o=t.strideHeight,s=t.strideWidth,i=e-1-t.padInfo.top,a=n-1-t.padInfo.left,u=t.outChannels/t.inChannels;this.userCode= `
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const ivec2 pads = ivec2 ( $ { i } , $ { a } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
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int batch = coords [ 0 ] ;
int d1 = coords [ 3 ] ;
ivec2 dyCorner = coords . yz - pads ;
int dyRCorner = dyCorner . x ;
int dyCCorner = dyCorner . y ;
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float dotProd = 0.0 ;
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for ( int wR = 0 ; wR < $ { e } ; wR ++ ) {
float dyR = float ( dyRCorner + wR ) / $ { o } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
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continue ;
}
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int idyR = int ( dyR ) ;
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int wRPerm = $ { e } - 1 - wR ;
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for ( int wC = 0 ; wC < $ { n } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { s } . 0 ;
if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
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continue ;
}
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int idyC = int ( dyC ) ;
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int wCPerm = $ { n } - 1 - wC ;
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// TO DO: Vec4 over the channelMul
for ( int dm = 0 ; dm < $ { u } ; dm ++ ) {
int d2 = d1 * $ { u } + dm ;
float xValue = getDy ( batch , idyR , idyC , d2 ) ;
float wValue = getW ( wRPerm , wCPerm , d1 , dm ) ;
dotProd += xValue * wValue ;
}
}
}
setOutput ( dotProd ) ;
}
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` }};function ort(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,dy:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,filterShape:c}=n,p=S.computeConv2DInfo(o.shape,c,i,a,u,l,!0),m=new Av(p);return e.runWebGLProgram(m,[o,s],"float32")}var Iz={kernelName:Ep,backendName:"webgl",kernelFunc:ort};function srt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,filter:s}=t,{strides:i,dilations:a,pad:u,dimRoundingMode:l,inputShape:c}=n,p=S.computeConv2DInfo(c,s.shape,i,a,u,l,!0),m=new $ v(p);return e.runWebGLProgram(m,[o,s],"float32")}var Sz={kernelName:Ap,backendName:"webgl",kernelFunc:srt};var Dv=class{constructor(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
float val = coords [ 0 ] == coords [ 1 ] ? getX ( coords [ 0 ] ) : 0.0 ;
setOutput ( val ) ;
}
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` }};function irt(r){let{inputs:t,backend:e}=r,{x:n}=t,o=[...n.shape,...n.shape],s=x.sizeFromShape(n.shape),i=at({inputs:{x:n},backend:e,attrs:{shape:[s]}}),a=new Dv(s),u=e.runWebGLProgram(a,[i],i.dtype),l=at({inputs:{x:u},backend:e,attrs:{shape:o}});return e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(u),l}var Nz={kernelName: $ p,backendName:"webgl",kernelFunc:irt};var Fv=class{constructor(t){this.variableNames=["x","W"],this.outputShape=t.outShape;let{inHeight:e,inWidth:n,padInfo:o,strideHeight:s,strideWidth:i,filterHeight:a,filterWidth:u,dilationHeight:l,dilationWidth:c}=t,{top:p,left:m}=o;this.userCode= `
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const ivec2 strides = ivec2 ( $ { s } , $ { i } ) ;
const ivec2 pads = ivec2 ( $ { p } , $ { m } ) ;
const float neg _infinity = - 3.4 e38 ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int d1 = coords . w ;
ivec2 outTopLeftCorner =
coords . yz * strides - pads ;
int hBeg = outTopLeftCorner . x ;
int wBeg = outTopLeftCorner . y ;
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float curVal = neg _infinity ;
for ( int h = 0 ; h < $ { a } ; h ++ ) {
int hIn = hBeg + h * $ { l } ;
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if ( hIn >= 0 && hIn < $ { e } ) {
for ( int w = 0 ; w < $ { u } ; w ++ ) {
int wIn = wBeg + w * $ { c } ;
if ( wIn >= 0 && wIn < $ { n } ) {
float xVal = getX ( batch , hIn , wIn , d1 ) ;
float wVal = getW ( h , w , d1 ) ;
float val = xVal + wVal ;
if ( val > curVal ) {
curVal = val ;
}
}
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}
}
}
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float result = curVal ;
setOutput ( result ) ;
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}
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` }};function art(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s}=t,{strides:i,pad:a,dilations:u}=n,l=S.computeDilation2DInfo(o.shape,s.shape,i,a,"NHWC",u),c,p=new Fv(l);c=e.runWebGLProgram(p,[o,s],"float32");let m=at({inputs:{x:c},backend:e,attrs:{shape:l.outShape}});return e.disposeIntermediateTensorInfo(c),m}var kz={kernelName:kl,backendName:"webgl",kernelFunc:art};function lrt(r){let{inputs:t,backend:e,attrs:n}=r,{equation:o}=n,s=t,{allDims:i,summedDims:a,idDims:u}=S.decodeEinsumEquation(o,s.length);S.checkEinsumDimSizes(i.length,u,s);let{path:l,steps:c}=S.getEinsumComputePath(a,u),p=c.length,m=null,f=i.length,d=[];for(let h=0;h<p;++h){for(let g of c[h]){let{permutationIndices:y,expandDims:b}=S.getEinsumPermutation(f,u[g]),w;S.isIdentityPermutation(y)?w=s[g]:(w=Pe({inputs:{x:s[g]},backend:e,attrs:{perm:y}}),d.push(w));let v=w.shape.slice();for(let N=0;N<b.length;++N)v.splice(b[N],0,1);x.arraysEqual(w.shape,v)||(w=at({inputs:{x:w},backend:e,attrs:{shape:v}}),d.push(w)),m===null?m=w:(m=sg({inputs:{a:w,b:m},backend:e}),d.push(m))}h<p-1&&(l[h]>=0&&(m=Xc({inputs:{x:m},backend:e,attrs:{axis:l[h]-(i.length-f),keepDims:!1}}),d.push(m)),f--)}for(let h of d)h!==m&&e.disposeIntermediateTensorInfo(h);return m}var Tz={kernelName:Dp,backendName:"webgl",kernelFunc:lrt};var urt="return (x >= 0.0) ? x : (exp(x) - 1.0);",crt= `
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vec4 result ;
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result . r = ( x . r >= 0.0 ) ? x . r : ( exp ( x . r ) - 1.0 ) ;
result . g = ( x . g >= 0.0 ) ? x . g : ( exp ( x . g ) - 1.0 ) ;
result . b = ( x . b >= 0.0 ) ? x . b : ( exp ( x . b ) - 1.0 ) ;
result . a = ( x . a >= 0.0 ) ? x . a : ( exp ( x . a ) - 1.0 ) ;
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return result ;
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` ,prt=It({opSnippet:urt,packedOpSnippet:crt}),_z={kernelName:ss,backendName:"webgl",kernelFunc:prt};var mrt="return (b >= 1.0) ? a : a * (b + 1.0);",frt= `
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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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` ,drt=r=>{let{inputs:t,backend:e}=r,{dy:n,y:o}=t,s=B().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Fo(frt,n.shape,o.shape):new ro(mrt,n.shape,o.shape);return e.runWebGLProgram(s,[n,o],n.dtype)},Ez={kernelName:Fp,backendName:"webgl",kernelFunc:drt};var hrt= `
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return vec4 ( equal ( a , b ) ) ;
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` ,grt="return float(a == b);",xrt=ce({opSnippet:grt,packedOpSnippet:hrt,dtype:"bool",cpuKernelImpl:cP}),Az={kernelName:da,backendName:"webgl",kernelFunc:xrt};var yrt= `
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// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
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float p = $ { S . ERF _P } ;
float a1 = $ { S . ERF _A1 } ;
float a2 = $ { S . ERF _A2 } ;
float a3 = $ { S . ERF _A3 } ;
float a4 = $ { S . ERF _A4 } ;
float a5 = $ { S . ERF _A5 } ;
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float sign = sign ( x ) ;
x = abs ( x ) ;
float t = 1.0 / ( 1.0 + p * x ) ;
return sign * ( 1.0 - ( ( ( ( ( a5 * t + a4 ) * t ) + a3 ) * t + a2 ) * t + a1 ) * t * exp ( - x * x ) ) ;
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` ,brt=It({opSnippet:yrt}), $ z={kernelName:fa,backendName:"webgl",kernelFunc:brt};var wrt=Ro+ `
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return exp ( x ) ;
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` ,vrt= `
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vec4 result = exp ( x ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
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` ,IT=It({opSnippet:wrt,packedOpSnippet:vrt,cpuKernelImpl:pP,dtype:"float32"}),Dz={kernelName:is,backendName:"webgl",kernelFunc:IT};function Rv(r){let{inputs:t,attrs:e,backend:n}=r,{dim:o}=e,{input:s}=t,i=s.shape.length,a=s.shape.slice(),u=o;return o<0&&(x.assert(-(i+1)<=o,()=> ` Axis must be in the interval [ $ { - ( i + 1 ) } , $ { i } ] ` ),u=i+o+1),a.splice(u,0,1),at({inputs:{x:s},backend:n,attrs:{shape:a}})}var Fz={kernelName:fi,backendName:"webgl",kernelFunc:Rv};var Rz="return exp(x) - 1.0;",Crt=It({opSnippet:Rz,packedOpSnippet:Rz,cpuKernelImpl:mP}),Oz={kernelName:ha,backendName:"webgl",kernelFunc:Crt};var lg=class{constructor(t,e,n){this.variableNames=["real","imag"];let o=e[1];this.outputShape=e;let s=n? ` 2.0 * $ { Math . PI } ` : ` - 2.0 * $ { Math . PI } ` ,i=n? ` $ { o } . 0 ` :"1.0",a;if(t==="real")a="return real * expR - imag * expI;";else if(t==="imag")a="return real * expI + imag * expR;";else throw new Error( ` FFT component must be either "real" or "imag" , got $ { t } . ` );this.userCode= `
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const float exponentMultiplier = $ { s } ;
float unaryOpComplex ( float real , float expR , float imag , float expI ) {
$ { a }
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}
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float mulMatDFT ( int batch , int index ) {
float indexRatio = float ( index ) / float ( $ { o } ) ;
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio ;
float result = 0.0 ;
for ( int i = 0 ; i < $ { o } ; i ++ ) {
// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float ( i ) ;
float expR = cos ( x ) ;
float expI = sin ( x ) ;
float real = getReal ( batch , i ) ;
float imag = getImag ( batch , i ) ;
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result +=
unaryOpComplex ( real , expR , imag , expI ) / $ { i } ;
}
return result ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
setOutput ( mulMatDFT ( coords [ 0 ] , coords [ 1 ] ) ) ;
}
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` }};function Ov(r,t,e){let n=e.texData.get(r.dataId),o=x.sizeFromShape(r.shape),s=r.shape[r.shape.length-1],i=o/s,a=at({inputs:{x:r},backend:e,attrs:{shape:[i,s]}}),u=a.shape,l=new lg("real",u,t),c=new lg("imag",u,t),p=[{dataId:n.complexTensorInfos.real.dataId,dtype:n.complexTensorInfos.real.dtype,shape:u},{dataId:n.complexTensorInfos.imag.dataId,dtype:n.complexTensorInfos.imag.dtype,shape:u}],m=e.runWebGLProgram(l,p,"float32"),f=e.runWebGLProgram(c,p,"float32"),d=An({inputs:{real:m,imag:f},backend:e});e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f);let h=at({inputs:{x:d},backend:e,attrs:{shape:r.shape}});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(d),h}function Irt(r){let{inputs:t,backend:e}=r,{input:n}=t;return Ov(n,!1,e)}var Lz={kernelName:Rp,backendName:"webgl",kernelFunc:Irt};var Lv=class{constructor(t,e){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=t,this.userCode= `
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void main ( ) {
// Input can be obtained from uniform value.
setOutput ( value ) ;
}
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` }};function gl(r){let{backend:t,attrs:e}=r,{shape:n,value:o}=e,{dtype:s}=e;if(s=s||x.inferDtype(o),s==="string"){let i=x.getArrayFromDType(s,x.sizeFromShape(n));return i.fill(o),t.makeTensorInfo(n,s,i)}else{let i=new Lv(n,o),a=[[o]];return t.runWebGLProgram(i,[],s,a)}}var Pz={kernelName:Tl,backendName:"webgl",kernelFunc:gl};var Pv=class{constructor(t){this.variableNames=["Image"],this.outputShape=[];let e=t[2];this.outputShape=t,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
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int coordX = $ { e } - x - 1 ;
float outputValue ;
if ( coordX >= 0 && coordX < $ { e } ) {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coordX , coords [ 3 ] ) ;
} else {
outputValue = getImage ( coords [ 0 ] , coords [ 1 ] , coords [ 2 ] , coords [ 3 ] ) ;
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}
setOutput ( outputValue ) ;
}
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` }};var Mz={kernelName:ga,backendName:"webgl",kernelFunc:({inputs:r,backend:t})=>{let{image:e}=r,n=t,o=new Pv(e.shape);return n.runWebGLProgram(o,[e],e.dtype)}};var zz="return floor(x);",Srt=It({opSnippet:zz,packedOpSnippet:zz,cpuKernelImpl:fP}),Bz={kernelName:as,backendName:"webgl",kernelFunc:Srt};var Nrt= `
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float s = sign ( a ) * sign ( b ) ;
int ia = round ( a ) ;
int ib = round ( b ) ;
if ( ib != 0 ) {
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
return float ( idiv ( ia , ib , s ) ) ;
} else {
return NAN ;
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}
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` ,krt= `
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ivec4 ia = round ( a ) ;
ivec4 ib = round ( b ) ;
bvec4 cond = notEqual ( ib , ivec4 ( 0 ) ) ;
ivec4 result = ivec4 ( 0 ) ;
vec4 s = sign ( a ) * sign ( b ) ;
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// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if ( cond [ 0 ] ) {
result [ 0 ] = idiv ( ia [ 0 ] , ib [ 0 ] , s [ 0 ] ) ;
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}
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if ( cond [ 1 ] ) {
result [ 1 ] = idiv ( ia [ 1 ] , ib [ 1 ] , s [ 1 ] ) ;
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}
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if ( cond [ 2 ] ) {
result [ 2 ] = idiv ( ia [ 2 ] , ib [ 2 ] , s [ 2 ] ) ;
}
if ( cond [ 3 ] ) {
result [ 3 ] = idiv ( ia [ 3 ] , ib [ 3 ] , s [ 3 ] ) ;
}
return vec4 ( result ) ;
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` ,Trt=ce({opSnippet:Nrt,packedOpSnippet:krt,dtype:"int32"}),Vz={kernelName:ls,backendName:"webgl",kernelFunc:Trt};var Mv=class{constructor(t){this.variableNames=["A"];let e=He(),[n,o]=t;this.outputShape=t,this.userCode= `
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) / vec2 ( $ { o } . 0 , $ { n } . 0 ) ;
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vec4 values = $ { e . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
}
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setOutput ( floor ( value * 255.0 + 0.5 ) ) ;
}
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` }};var zv=class{constructor(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let e=He(),[n,o]=t;this.outputShape=t,this.userCode= `
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void main ( ) {
ivec3 coords = getOutputCoords ( ) ;
int texR = coords [ 0 ] ;
int texC = coords [ 1 ] ;
int depth = coords [ 2 ] ;
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vec4 result = vec4 ( 0. ) ;
for ( int row = 0 ; row <= 1 ; row ++ ) {
for ( int col = 0 ; col <= 1 ; col ++ ) {
texC = coords [ 1 ] + row ;
depth = coords [ 2 ] + col ;
vec2 uv = ( vec2 ( texC , texR ) + halfCR ) /
vec2 ( $ { o } . 0 , $ { n } . 0 ) ;
vec4 values = $ { e . texture2D } ( A , uv ) ;
float value ;
if ( depth == 0 ) {
value = values . r ;
} else if ( depth == 1 ) {
value = values . g ;
} else if ( depth == 2 ) {
value = values . b ;
} else if ( depth == 3 ) {
value = values . a ;
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}
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result [ row * 2 + col ] = floor ( value * 255.0 + 0.5 ) ;
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}
}
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$ { e . output } = result ;
}
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` }};var Gz={kernelName:eh,backendName:"webgl",kernelFunc:_rt},Fd;function _rt(r){let{inputs:t,backend:e,attrs:n}=r,{pixels:o}=t,{numChannels:s}=n,i=typeof HTMLVideoElement!="undefined"&&o instanceof HTMLVideoElement,a=typeof HTMLImageElement!="undefined"&&o instanceof HTMLImageElement,[u,l]=i?[o.videoWidth,o.videoHeight]:[o.width,o.height],c=[l,u],p=[l,u,s];(a||i)&&(Fd==null&&(Fd=document.createElement("canvas").getContext("2d")),Fd.canvas.width=u,Fd.canvas.height=l,Fd.drawImage(o,0,0,u,l),o=Fd.canvas);let m=e.makeTensorInfo(c,"int32");e.texData.get(m.dataId).usage=Hr.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(m.dataId),o);let f=B().getBool("WEBGL_PACK")?new zv(p):new Mv(p),d=e.runWebGLProgram(f,[m],"int32");return e.disposeData(m.dataId),d}function Ert(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dataFormat:c,dilations:p,dimRoundingMode:m,activation:f,leakyreluAlpha:d}=n,h=S.convertConv2DDataFormat(c),g=S.computeConv2DInfo(o.shape,s.shape,u,p,l,m,!1,h),y,b=[];if(g.filterHeight===1&&g.filterWidth===1&&g.dilationHeight===1&&g.dilationWidth===1&&g.strideHeight===1&&g.strideWidth===1&&(g.padInfo.type==="SAME"||g.padInfo.type==="VALID"))y=vv({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else if(B().getBool("WEBGL_CONV_IM2COL"))y=Cv({x:o,filter:s,convInfo:g,backend:e,bias:i,activation:f,preluActivationWeights:a,leakyreluAlpha:d});else{let v=i!=null,N=a!=null,E=f==="leakyrelu", $ =f?_u(f,!1):null,D=new Ad(g,v, $ ,N,E),L=[o,s],M=(G,H)=>{if(H==="NCHW"&&G.shape.length===1&&G.shape[0]!==1){let q=at({inputs:{x:G},backend:e,attrs:{shape:[G.shape[0],1,1]}});return b.push(q),q}return G};if(v&&L.push(M(i,c)),N&&L.push(M(a,c)),E){let G=e.makeTensorInfo([],"float32",x.createScalarValue(d,"float32"));L.push(G),b.push(G)}y=e.runWebGLProgram(D,L,"float32")}let w=at({inputs:{x:y},backend:e,attrs:{shape:g.outShape}});return b.push(y),b.forEach(v=>e.disposeIntermediateTensorInfo(v)),w}var Wz={kernelName:ki,backendName:"webgl",kernelFunc:Ert};function Art(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,filter:s,bias:i,preluActivationWeights:a}=t,{strides:u,pad:l,dilations:c,dimRoundingMode:p,activation:m,leakyreluAlpha:f}=n,d=[],h=c;h==null&&(h=[1,1]),x.assert(S.eitherStridesOrDilationsAreOne(u,h),()=> ` Error in depthwiseConv2d : Either strides or dilations must be 1. Got strides $ { u } and dilations '${h}' ` );let g=S.computeConv2DInfo(o.shape,s.shape,u,h,l,p,!0),y=B().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=m?_u(m,y):null,w=[o,s],v=i!=null,N=a!=null,E=m==="leakyrelu";if(v&&w.push(i),N&&w.push(a),E){let M=e.makeTensorInfo([],"float32",x.createScalarValue(f,"float32"));w.push(M),d.push(M)}let $ ;y? $ =new Dd(g,v,b,N,E): $ =new $ d(g,v,b,N,E);let D=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],L=e.runWebGLProgram( $ ,w,"float32",D);return d.forEach(M=>e.disposeIntermediateTensorInfo(M)),L}var Uz={kernelName:Ti,backendName:"webgl",kernelFunc:Art};var Bv=class{constructor(t,e,n,o){this.sliceDim=t,this.strides=e,this.paramsShape=o,this.variableNames=["x","indices"],this.outputShape=n;let s=Wt(e.length),i=Wt(n.length),a=this.sliceDim>1?"strides[j]":"strides",u=Wt(o.length),l=o.length>1?"paramsShape[j]":"paramsShape";this.userCode= `
$ { s } strides = $ { s } ( $ { this . strides } ) ;
$ { u } paramsShape = $ { u } ( $ { this . paramsShape } ) ;
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void main ( ) {
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$ { i } coords = getOutputCoords ( ) ;
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int flattenIndex = 0 ;
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bool out _of _bounds = false ;
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for ( int j = 0 ; j < $ { this . sliceDim } ; j ++ ) {
int index = round ( getIndices ( coords [ 0 ] , j ) ) ;
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out _of _bounds = out _of _bounds || index < 0 ;
out _of _bounds = out _of _bounds || index >= $ { l } ;
flattenIndex += index * $ { a } ;
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}
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setOutput ( out _of _bounds ? 0.0 : getX ( flattenIndex , coords [ 1 ] ) ) ;
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}
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` }};function $ rt(r){let{inputs:t,backend:e}=r,{params:n,indices:o}=t,s=o.shape,i=s[s.length-1],a=x.sizeFromShape(n.shape),[u,l,c,p]=S.prepareAndValidate(n,o),m=at({inputs:{x:o},backend:e,attrs:{shape:[l,i]}}),f=at({inputs:{x:n},backend:e,attrs:{shape:[x.sizeFromShape(n.shape)/c,c]}});if(e.shouldExecuteOnCPU([n,o])||n.dtype==="string"){let y=e.readSync(o.dataId),b=e.bufferSync(n),w=dP(y,b,n.dtype,l,i,c,p,n.shape,a);return e.makeTensorInfo(u,n.dtype,w.values)}let d=new Bv(i,p,[l,c],n.shape),h=e.runWebGLProgram(d,[f,m],f.dtype),g=at({inputs:{x:h},backend:e,attrs:{shape:u}});return e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(h),g}var Hz={kernelName:xa,backendName:"webgl",kernelFunc: $ rt};var Vv=class{constructor(t,e){this.variableNames=["A","indices"],this.outputShape=e,this.rank=e.length;let n=Wt(this.rank),o=Drt(t,2);this.userCode= `
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void main ( ) {
$ { n } resRC = getOutputCoords ( ) ;
int index = int ( getIndices ( resRC . x , resRC . z ) ) ;
float inBounds = ( index >= 0 ) && ( index < $ { t [ 2 ] } ) ? 1.0 : 0.0 ;
setOutput ( inBounds * getA ( $ { o } ) ) ;
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}
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` }};function Drt(r,t){let e=["resRC.x","resRC.y","resRC.z","resRC.w"],n=[];for(let o=0;o<r.length;o++)o===2?n.push("index"):n.push( ` $ { e [ o ] } ` );return n.join()}function ST(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,indices:s}=t,{axis:i,batchDims:a}=n,u=x.parseAxisParam(i,o.shape)[0];if(B().get("DEBUG")){let b=e.readSync(s.dataId),w=o.shape[u];for(let v=0;v<b.length;++v){let N=b[v];x.assert(N<=w-1&&N>=0,()=> ` GatherV2 : the index value $ { N } is not in [ 0 , $ { w - 1 } ] ` )}}let l=S.segment_util.collectGatherOpShapeInfo(o,s,u,a),c=x.sizeFromShape(s.shape),p=[],m=at({inputs:{x:o},backend:e,attrs:{shape:[l.batchSize,l.outerSize,l.dimSize,l.sliceSize]}}),f=at({inputs:{x:s},backend:e,attrs:{shape:[l.batchSize,c/l.batchSize]}});p.push(m),p.push(f);let d=[l.batchSize,l.outerSize,c/l.batchSize,l.sliceSize];if(e.shouldExecuteOnCPU([o,s])||o.dtype==="string"){let b=e.bufferSync(f),w=e.bufferSync(m),v=hP(w,b,d);return p.forEach(N=>e.disposeIntermediateTensorInfo(N)),e.makeTensorInfo(l.outputShape,v.dtype,v.values)}let h=new Vv(m.shape,d),g=e.runWebGLProgram(h,[m,f],m.dtype);p.push(g);let y=at({inputs:{x:g},backend:e,attrs:{shape:l.outputShape}});return p.forEach(b=>e.disposeIntermediateTensorInfo(b)),y}var qz={kernelName:di,backendName:"webgl",kernelFunc:ST};var Frt="return float(a > b);",Rrt= `
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return vec4 ( greaterThan ( a , b ) ) ;
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` ,Ort=ce({opSnippet:Frt,packedOpSnippet:Rrt,cpuKernelImpl:gP,dtype:"bool"}),Kz={kernelName:ya,backendName:"webgl",kernelFunc:Ort};var Lrt="return float(a >= b);",Prt= `
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return vec4 ( greaterThanEqual ( a , b ) ) ;
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` ,Mrt=ce({opSnippet:Lrt,packedOpSnippet:Prt,dtype:"bool",cpuKernelImpl:xP}),jz={kernelName:cs,backendName:"webgl",kernelFunc:Mrt};function zrt(r){let{inputs:t,backend:e}=r,{input:n}=t;return Ov(n,!0,e)}var Xz={kernelName:Op,backendName:"webgl",kernelFunc:zrt};var Brt="return float(!isnan(x) && !isinf(x));",Vrt=It({opSnippet:Brt,dtype:"bool"}),Yz={kernelName:ba,backendName:"webgl",kernelFunc:Vrt};var Grt="return float(isinf(x));",Wrt=It({opSnippet:Grt,dtype:"bool"}),Zz={kernelName:wa,backendName:"webgl",kernelFunc:Wrt};var Urt="return float(isnan(x));",Hrt=It({opSnippet:Urt,dtype:"bool"}),Jz={kernelName:va,backendName:"webgl",kernelFunc:Hrt};var qrt="return float(a < b);",Krt= `
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return vec4 ( lessThan ( a , b ) ) ;
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` ,jrt=ce({opSnippet:qrt,packedOpSnippet:Krt,cpuKernelImpl:yP,dtype:"bool"}),Qz={kernelName:Ca,backendName:"webgl",kernelFunc:jrt};var Xrt="return float(a <= b);",Yrt= `
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return vec4 ( lessThanEqual ( a , b ) ) ;
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` ,Zrt=ce({opSnippet:Xrt,packedOpSnippet:Yrt,cpuKernelImpl:bP,dtype:"bool"}),t3={kernelName:Ia,backendName:"webgl",kernelFunc:Zrt};function Jrt(r){let{backend:t,attrs:e}=r,{start:n,stop:o,num:s}=e,i=wP(n,o,s);return t.makeTensorInfo([i.length],"float32",i)}var e3={kernelName:Pp,backendName:"webgl",kernelFunc:Jrt};var Qrt=Ro+ `
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return x < 0.0 ? 0. / 0. : log ( x ) ;
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` ,tnt= `
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vec4 result = log ( x ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : ( x . r < 0.0 ? 0. / 0. : result . r ) ;
result . g = isNaN . g ? x . g : ( x . g < 0.0 ? 0. / 0. : result . g ) ;
result . b = isNaN . b ? x . b : ( x . b < 0.0 ? 0. / 0. : result . b ) ;
result . a = isNaN . a ? x . a : ( x . a < 0.0 ? 0. / 0. : result . a ) ;
return result ;
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` ,ent=It({opSnippet:Qrt,packedOpSnippet:tnt,cpuKernelImpl:vP}),r3={kernelName:ms,backendName:"webgl",kernelFunc:ent};var rnt=Ro+ `
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return log ( 1.0 + x ) ;
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` ,nnt=It({opSnippet:rnt}),n3={kernelName:Sa,backendName:"webgl",kernelFunc:nnt};var ont="return float(a >= 1.0 && b >= 1.0);",snt= `
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return vec4 (
vec4 ( greaterThanEqual ( a , vec4 ( 1.0 ) ) ) *
vec4 ( greaterThanEqual ( b , vec4 ( 1.0 ) ) ) ) ;
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` ,int=ce({opSnippet:ont,packedOpSnippet:snt,dtype:"bool"}),o3={kernelName:Na,backendName:"webgl",kernelFunc:int};var ant="return float(!(x >= 1.0));",lnt=It({opSnippet:ant}),s3={kernelName:ka,backendName:"webgl",kernelFunc:lnt};var unt="return float(a >= 1.0 || b >= 1.0);",cnt= `
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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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` ,pnt=ce({opSnippet:unt,packedOpSnippet:cnt,dtype:"bool"}),i3={kernelName:Ta,backendName:"webgl",kernelFunc:pnt};var Gv=class{constructor(t,e,n,o,s){this.variableNames=["x"],this.outputShape=[];let i=e,a=t[3]-1;this.outputShape=t;let u,l= ` float ( $ { n } ) + float ( $ { o } ) * sum ` ;s===.5?u= ` inversesqrt ( $ { l } ) ` :s===1?u= ` 1.0 / ( $ { l } ) ` :u= ` exp ( log ( $ { l } ) * float ( - $ { s } ) ) ; ` ,this.userCode= `
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void main ( ) {
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ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
int d = coords [ 3 ] ;
float x = getX ( b , r , c , d ) ;
float sum = 0.0 ;
for ( int j = - $ { i } ; j <= $ { i } ; j ++ ) {
int idx = d + j ;
if ( idx >= 0 && idx <= $ { a } ) {
float z = getX ( b , r , c , idx ) ;
sum += z * z ;
}
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}
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float val = x * $ { u } ;
setOutput ( val ) ;
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}
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` }};var Wv=class{constructor(t,e,n,o,s){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let i=e,a=t[3]-1;this.outputShape=t;let u,l= ` float ( $ { n } ) + float ( $ { o } ) * sum ` ;s===.5?u= ` inversesqrt ( $ { l } ) ` :s===1?u= ` 1.0 / ( $ { l } ) ` :u= ` exp ( log ( $ { l } ) * float ( - $ { s } ) ) ; ` ,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords . x ;
int r = coords . y ;
int c = coords . z ;
int d = coords . w ;
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bool hasNextCol = d < $ { this . outputShape [ 3 ] } ;
bool hasNextRow = c < $ { this . outputShape [ 2 ] } ;
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vec4 sum = vec4 ( 0. ) ;
vec4 xFragAtOutputCoords = getX ( b , r , c , d ) ;
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vec4 xAtOutputCoords = vec4 (
getChannel ( xFragAtOutputCoords , vec2 ( c , d ) ) ,
hasNextCol ?
getChannel ( xFragAtOutputCoords , vec2 ( c , d + 1 ) ) : 0.0 ,
hasNextRow ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d ) ) : 0.0 ,
( hasNextRow && hasNextCol ) ?
getChannel ( xFragAtOutputCoords , vec2 ( c + 1 , d + 1 ) ) : 0.0
) ;
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int firstChannel = d - $ { i } ;
vec2 cache = vec2 ( 0. ) ;
if ( firstChannel >= 0 ) {
vec4 firstChannelFrag = getX ( b , r , c , firstChannel ) ;
cache . x = getChannel ( firstChannelFrag , vec2 ( c , firstChannel ) ) ;
if ( hasNextRow ) {
cache . y = getChannel ( firstChannelFrag , vec2 ( c + 1 , firstChannel ) ) ;
}
}
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ivec2 depth = ivec2 ( d , d + 1 ) ;
for ( int j = - $ { i } ; j <= $ { i } ; j ++ ) {
ivec2 idx = depth + j ;
bvec2 aboveLowerBound = greaterThanEqual ( idx , ivec2 ( 0 ) ) ;
bvec2 belowUpperBound = lessThanEqual ( idx , ivec2 ( $ { a } ) ) ;
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bool depthInRange = aboveLowerBound . x && belowUpperBound . x ;
bool depthPlusOneInRange = aboveLowerBound . y && belowUpperBound . y ;
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if ( depthInRange || depthPlusOneInRange ) {
vec4 z = vec4 ( 0. ) ;
vec4 xFragAtCurrentDepth ;
z . xz = cache . xy ;
if ( depthPlusOneInRange && hasNextCol ) {
xFragAtCurrentDepth = idx . y != d ?
getX ( b , r , c , idx . y ) : xFragAtOutputCoords ;
z . y = getChannel ( xFragAtCurrentDepth , vec2 ( c , idx . y ) ) ;
if ( hasNextRow ) {
z . w = getChannel ( xFragAtCurrentDepth , vec2 ( c + 1 , idx . y ) ) ;
}
}
cache . xy = z . yw ;
sum += z * z ;
}
}
vec4 result = xAtOutputCoords * $ { u } ;
setOutput ( result ) ;
}
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` }};var mnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{depthRadius:s,bias:i,alpha:a,beta:u}=n,l=B().getBool("WEBGL_PACK_NORMALIZATION")?new Wv(o.shape,s,i,a,u):new Gv(o.shape,s,i,a,u);return e.runWebGLProgram(l,[o],o.dtype)},a3={kernelName:_l,backendName:"webgl",kernelFunc:mnt};var Uv=class{constructor(t,e,n,o,s){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=o,this.beta=s,this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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float result = 0.0 ;
for ( int d = 0 ; d < $ { this . depth } ; ++ d ) {
int depthBegin = int ( max ( 0.0 , float ( d - $ { e } ) ) ) ;
int depthEnd = int ( min ( float ( $ { this . depth } ) ,
float ( d + $ { e } + 1 ) ) ) ;
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const int MIN _DEPTH _BEGIN = 0 ;
const int MAX _DEPTH _END = $ { this . depth } ;
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float norm = 0.0 ;
for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
norm += getInputImage ( b , r , c , k ) * getInputImage ( b , r , c , k ) ;
}
else {
break ;
}
}
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norm = float ( $ { o } ) * norm + float ( $ { n } ) ;
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for ( int k = MIN _DEPTH _BEGIN ; k < MAX _DEPTH _END ; ++ k ) {
if ( k < depthBegin ) {
continue ;
}
else if ( k >= depthBegin && k < depthEnd ) {
float dyi = - 2.0 * float ( $ { o } )
* float ( $ { s } )
* getInputImage ( b , r , c , k ) * getOutputImage ( b , r , c , d )
/ n o r m ;
if ( k == d ) {
dyi += pow ( norm , - 1.0 * $ { s } ) ;
}
if ( k == coords [ 3 ] ) {
dyi *= getDy ( b , r , c , d ) ;
result += dyi ;
}
}
else {
break ;
}
}
}
setOutput ( result ) ;
}
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` }};var fnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o,y:s,dy:i}=t,{depthRadius:a,bias:u,alpha:l,beta:c}=n,p=new Uv(o.shape,a,u,l,c);return e.runWebGLProgram(p,[o,s,i],o.dtype)},l3={kernelName:Mp,backendName:"webgl",kernelFunc:fnt};function u3(r,t,e,n){let o=x.sizeFromShape(t),i=x.sizeFromShape(r.shape)/o,a=at({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Un(a,r.dtype,"max",n),l=at({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}function NT(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reductionIndices:s,keepDims:i}=n,a=o.shape.length,u=x.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=e.shouldExecuteOnCPU([o]),f=o;if(p){if(m){let w=e.texData.get(f.dataId).values,v=new Array(a);for(let $ =0; $ <v.length; $ ++)v[ $ ]=o.shape[c[ $ ]];let N=Kc(w,o.shape,o.dtype,c,v);f=e.makeTensorInfo(v,o.dtype);let E=e.texData.get(f.dataId);E.values=N}else f=Eu(o,c,e);l=S.getInnerMostAxes(l.length,a)}S.assertAxesAreInnerMostDims("max",l,a);let[d,h]=S.computeOutAndReduceShapes(f.shape,l),g=d;i&&(g=S.expandShapeToKeepDim(d,u));let y;if(m){let w=e.texData.get(f.dataId).values,v=CP(w,x.sizeFromShape(h),g,o.dtype);y=e.makeTensorInfo(g,o.dtype);let N=e.texData.get(y.dataId);N.values=v}else y=u3(f,h,g,e);return p&&e.disposeIntermediateTensorInfo(f),y}var c3={kernelName:fs,backendName:"webgl",kernelFunc:NT};var dnt=Yw+ `
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return max ( a , b ) ;
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` ,hnt= `
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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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` +Tu+ `
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return result ;
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` ,gnt=ce({opSnippet:dnt,packedOpSnippet:hnt,cpuKernelImpl:IP}),p3={kernelName:ds,backendName:"webgl",kernelFunc:gnt};function xnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t;ni(o,"maxPool");let{filterSize:s,strides:i,pad:a,dimRoundingMode:u}=n,l=1;x.assert(S.eitherStridesOrDilationsAreOne(i,l),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { i } and dilations '${l}' ` );let c=S.computePool2DInfo(o.shape,s,i,l,a,u);if(c.filterWidth===1&&c.filterHeight===1&&x.arraysEqual(c.inShape,c.outShape))return er({inputs:{x:o},backend:e});let p=new si(c,"max",!1);return e.runWebGLProgram(p,[o],o.dtype)}var m3={kernelName:hs,backendName:"webgl",kernelFunc:xnt};function ynt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{filterSize:s,strides:i,pad:a,dataFormat:u,dimRoundingMode:l}=n,c=[1,1,1],p=S.computePool3DInfo(o.shape,s,i,c,a,l,u),m=new Au(p,"max",!1);return e.runWebGLProgram(m,[o],o.dtype)}var f3={kernelName:El,backendName:"webgl",kernelFunc:ynt};var Hv=class{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;let e=t.strideHeight,n=t.strideWidth,o=t.dilationHeight,s=t.effectiveFilterHeight,i=t.effectiveFilterWidth,a=s-1-t.padInfo.top,u=i-1-t.padInfo.left,l=s*i-1;this.userCode= `
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const ivec2 pads = ivec2 ( $ { a } , $ { u } ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
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ivec2 dyRCCorner = coords . yz - pads ;
int dyRCorner = dyRCCorner . x ;
int dyCCorner = dyRCCorner . y ;
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// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
for ( int wR = 0 ; wR < $ { s } ;
wR += $ { o } ) {
float dyR = float ( dyRCorner + wR ) / $ { e } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 || fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { i } ; wC ++ ) {
float dyC = float ( dyCCorner + wC ) / $ { n } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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float dyValue = getDy ( b , idyR , idyC , d ) ;
int maxPosValue = $ { l } - int ( getMaxPos ( b , idyR , idyC , d ) ) ;
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// Get the current value, check it against the value from the
// position matrix.
int curPosValue = wR * $ { i } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
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dotProd += dyValue * mask ;
}
}
setOutput ( dotProd ) ;
}
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` }},qv=class{constructor(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;let e=t.strideDepth,n=t.strideHeight,o=t.strideWidth,s=t.dilationDepth,i=t.dilationHeight,a=t.dilationWidth,u=t.effectiveFilterDepth,l=t.effectiveFilterHeight,c=t.effectiveFilterWidth,p=u-1-t.padInfo.front,m=l-1-t.padInfo.top,f=c-1-t.padInfo.left,d=u*l*c-1;this.userCode= `
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const ivec3 pads = ivec3 ( $ { p } , $ { m } , $ { f } ) ;
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void main ( ) {
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ivec5 coords = getOutputCoords ( ) ;
int batch = coords . x ;
int ch = coords . u ;
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ivec3 dyCorner = ivec3 ( coords . y , coords . z , coords . w ) - pads ;
int dyDCorner = dyCorner . x ;
int dyRCorner = dyCorner . y ;
int dyCCorner = dyCorner . z ;
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// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0 ;
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for ( int wD = 0 ; wD < $ { u } ;
wD += $ { s } ) {
float dyD = float ( dyDCorner + wD ) / $ { e } . 0 ;
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if ( dyD < 0.0 || dyD >= $ { t . outDepth } . 0 || fract ( dyD ) > 0.0 ) {
continue ;
}
int idyD = int ( dyD ) ;
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for ( int wR = 0 ; wR < $ { l } ;
wR += $ { i } ) {
float dyR = float ( dyRCorner + wR ) / $ { n } . 0 ;
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if ( dyR < 0.0 || dyR >= $ { t . outHeight } . 0 ||
fract ( dyR ) > 0.0 ) {
continue ;
}
int idyR = int ( dyR ) ;
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for ( int wC = 0 ; wC < $ { c } ;
wC += $ { a } ) {
float dyC = float ( dyCCorner + wC ) / $ { o } . 0 ;
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if ( dyC < 0.0 || dyC >= $ { t . outWidth } . 0 ||
fract ( dyC ) > 0.0 ) {
continue ;
}
int idyC = int ( dyC ) ;
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float dyValue = getDy ( batch , idyD , idyR , idyC , ch ) ;
int maxPosValue = $ { d } -
int ( getMaxPos ( batch , idyD , idyR , idyC , ch ) ) ;
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// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
wD * $ { l } * $ { c } +
wR * $ { c } + wC ;
float mask = float ( maxPosValue == curPosValue ? 1.0 : 0.0 ) ;
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dotProd += dyValue * mask ;
}
}
}
setOutput ( dotProd ) ;
}
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` }};function bnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s}=t,i=s,{filterSize:a,strides:u,pad:l,dimRoundingMode:c}=n,p=[1,1,1],m=S.computePool3DInfo(i.shape,a,u,p,l,c),f=new Au(m,"max",!0),d=e.runWebGLProgram(f,[i],i.dtype),h=new qv(m),g=e.runWebGLProgram(h,[o,d],i.dtype);return e.disposeIntermediateTensorInfo(d),g}var d3={kernelName:Bp,backendName:"webgl",kernelFunc:bnt};function wnt(r){let{inputs:t,backend:e,attrs:n}=r,{dy:o,input:s,output:i}=t,a=s;ni([s,i],"maxPoolGrad");let{filterSize:u,strides:l,pad:c,dimRoundingMode:p}=n,m=S.computePool2DInfo(a.shape,u,l,1,c,p),f=!0,d=new si(m,"max",f),h=e.runWebGLProgram(d,[a],a.dtype),g=new Hv(m),y=e.runWebGLProgram(g,[o,h],a.dtype);return e.disposeIntermediateTensorInfo(h),y}var h3={kernelName:zp,backendName:"webgl",kernelFunc:wnt};function g3(r,t,e,n){let o=new si(e,"max",!1),s=n.runWebGLProgram(o,[r],"float32");o=new si(e,"max",!0,!0,t);let i=n.runWebGLProgram(o,[r],"float32");return[s,i]}var x3={kernelName:Vp,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{filterSize:o,strides:s,pad:i,includeBatchInIndex:a}=t,u=e;x.assert(n.shape.length===4,()=> ` Error in maxPool : input must be rank 4 but got rank $ { n . shape . length } . ` );let l=[1,1];x.assert(S.eitherStridesOrDilationsAreOne(s,l),()=> ` Error in maxPool : Either strides or dilations must be 1. Got strides $ { s } and dilations '${l}' ` );let c=S.computePool2DInfo(n.shape,o,s,l,i),[p,m]=g3(n,a,c,u);return[p,m]}};function y3(r,t,e,n){let o=x.sizeFromShape(t),i=x.sizeFromShape(r.shape)/o,a=at({inputs:{x:r},attrs:{shape:[i,o]},backend:n}),u=Un(a,"float32","mean",n),l=at({inputs:{x:u},attrs:{shape:e},backend:n});return n.disposeIntermediateTensorInfo(a),n.disposeIntermediateTensorInfo(u),l}var b3={kernelName:gs,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{x:n}=r,{keepDims:o,axis:s}=t,i=e,a=n.shape.length,u=x.parseAxisParam(s,n.shape),l=u,c=S.getAxesPermutation(l,a),p=c!=null,m=i.shouldExecuteOnCPU([n]),f=[],d=n;if(p){if(m){let v=i.texData.get(d.dataId).values,N=new Array(a);for(let D=0;D<N.length;D++)N[D]=n.shape[c[D]];let E=Kc(v,n.shape,n.dtype,c,N);d=i.makeTensorInfo(N,n.dtype);let $ =i.texData.get(d.dataId); $ .values=E}else d=Eu(n,c,i);f.push(d),l=S.getInnerMostAxes(l.length,a)}S.assertAxesAreInnerMostDims("sum",l,a);let[h,g]=S.computeOutAndReduceShapes(d.shape,l),y=h;o&&(y=S.expandShapeToKeepDim(h,u));let b=y3(d,g,y,i);for(let w of f)i.disposeIntermediateTensorInfo(w);return b}};function vnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=x.parseAxisParam(s,o.shape),l=u,c=S.getAxesPermutation(l,a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),l=S.getInnerMostAxes(l.length,o.shape.length)),S.assertAxesAreInnerMostDims("min",l,a);let[m,f]=S.computeOutAndReduceShapes(p.shape,l),d=x.sizeFromShape(f),h=at({inputs:{x:p},backend:e,attrs:{shape:[-1,d]}}),g=Un(h,h.dtype,"min",e),y;if(i){let b=S.expandShapeToKeepDim(m,u);y=at({inputs:{x:g},backend:e,attrs:{shape:b}})}else y=at({inputs:{x:g},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(g),c!=null&&e.disposeIntermediateTensorInfo(p),y}var w3={kernelName:xs,backendName:"webgl",kernelFunc:vnt};var Cnt=Yw+ `
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return min ( a , b ) ;
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` ,Int= `
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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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` +Tu+ `
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return result ;
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` ,Snt=ce({opSnippet:Cnt,packedOpSnippet:Int,cpuKernelImpl:SP}),v3={kernelName:ys,backendName:"webgl",kernelFunc:Snt};var Kv=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=e.map((c,p)=>c[0]+t[p]+c[1]);let o=t.length,s=Wt(o),i=e.map(c=>c[0]).join(","),a=e.map((c,p)=>c[0]+t[p]).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o),l=n==="reflect"?0:1;if(o===1){this.userCode= `
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int start = $ { i } ;
int end = $ { a } ;
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void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start ) {
outC = start * 2 - outC - $ { l } ;
} else if ( outC >= end ) {
outC = ( end - 1 ) * 2 - outC + $ { l } ;
}
setOutput ( getX ( outC - start ) ) ;
}
` ;return}this.userCode= `
$ { s } start = $ { s } ( $ { i } ) ;
$ { s } end = $ { s } ( $ { a } ) ;
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void main ( ) {
$ { s } outC = getOutputCoords ( ) ;
for ( int i = 0 ; i < $ { o } ; i ++ ) {
if ( outC [ i ] < start [ i ] ) {
outC [ i ] = start [ i ] * 2 - outC [ i ] - $ { l } ;
} else if ( outC [ i ] >= end [ i ] ) {
outC [ i ] = ( end [ i ] - 1 ) * 2 - outC [ i ] + $ { l } ;
}
}
$ { s } coords = outC - start ;
setOutput ( getX ( $ { u } ) ) ;
}
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` }};var jv=class{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map((d,h)=>d[0]+t[h]+d[1]);let o=t.length,s=Wt(o),i=e.map(d=>d[0]).join(","),a=e.map((d,h)=>d[0]+t[h]).join(","),u=tr("rc",o),l=tr("source",o),c= ` $ { u [ o - 1 ] } < $ { this . outputShape [ o - 1 ] } ` ,p=o===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,m=n==="reflect"?0:1,f="";if(o===1){let d= `
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$ { s } source = rc ;
if ( source < start ) {
source = start * 2 - source - $ { m } ;
} else if ( source >= end ) {
source = ( end - 1 ) * 2 - source + $ { m } ;
}
source -= start ;
` ;f= `
$ { s } rc = outputLoc ;
$ { d }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
$ { u [ o - 1 ] } += 1 ;
if ( $ { c } ) {
$ { d }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
` }else{let d= `
$ { s } source = rc ;
$ { s } lt = $ { s } ( lessThan ( source , start ) ) ;
$ { s } gte = $ { s } ( greaterThanEqual ( source , end ) ) ;
$ { s } orig = 1 - ( lt + gte ) ;
source = orig * source +
lt * ( start * 2 - source - $ { m } ) +
gte * ( ( end - 1 ) * 2 - source + $ { m } ) ;
source -= start ;
` ;f= `
$ { s } rc = outputLoc ;
$ { d }
result [ 0 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
$ { u [ o - 1 ] } += 1 ;
if ( $ { c } ) {
$ { d }
result [ 1 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
rc = outputLoc ;
$ { u [ o - 2 ] } += 1 ;
if ( $ { u [ o - 2 ] } < $ { this . outputShape [ o - 2 ] } ) {
$ { d }
result [ 2 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
$ { u [ o - 1 ] } += 1 ;
if ( $ { c } ) {
$ { d }
result [ 3 ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
}
` }this.userCode= `
const $ { s } start = $ { s } ( $ { i } ) ;
const $ { s } end = $ { s } ( $ { a } ) ;
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void main ( ) {
$ { s } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { f }
setOutput ( result ) ;
}
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` }};var Nnt=({inputs:r,backend:t,attrs:e})=>{let{x:n}=r,{paddings:o,mode:s}=e,i=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new jv(n.shape,o,s):new Kv(n.shape,o,s);return t.runWebGLProgram(i,[n],n.dtype)},C3={kernelName:bs,backendName:"webgl",kernelFunc:Nnt};var knt= ` if ( b == 0.0 ) return NAN ;
return mod ( a , b ) ; ` ,Tnt= `
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vec4 result = mod ( a , b ) ;
vec4 isNaN = vec4 ( equal ( b , vec4 ( 0.0 ) ) ) ;
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` +Tu+ `
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return result ;
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` ,_nt=ce({opSnippet:knt,packedOpSnippet:Tnt}),I3={kernelName:_a,backendName:"webgl",kernelFunc:_nt};var Xv=class{constructor(t,e,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[t,n],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
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float r = random ( seed ) ;
float cdf = 0.0 ;
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for ( int i = 0 ; i < $ { e - 1 } ; i ++ ) {
cdf += getProbs ( batch , i ) ;
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if ( r < cdf ) {
setOutput ( float ( i ) ) ;
return ;
}
}
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// If no other event happened, last event happened.
setOutput ( float ( $ { e - 1 } ) ) ;
}
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` }};var Ent= `
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if ( a == b ) {
return 1.0 ;
} ;
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return a / b ; ` ,Ant= `
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// vec4 one = vec4(equal(a, b));
// return one + (vec4(1.0) - one) * a / b;
vec4 result = a / b ;
if ( a . x == b . x ) {
result . x = 1. ;
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}
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if ( a . y == b . y ) {
result . y = 1. ;
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}
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if ( a . z == b . z ) {
result . z = 1. ;
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}
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if ( a . w == b . w ) {
result . w = 1. ;
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}
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return result ;
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` ,kT=ce({opSnippet:Ent,packedOpSnippet:Ant,checkOutOfBounds:!0}),S3={kernelName:os,backendName:"webgl",kernelFunc:kT};var N3="return a - b;",TT=ce({opSnippet:N3,packedOpSnippet:N3,supportsComplex:!0,cpuKernelImpl:VP}),k3={kernelName:zs,backendName:"webgl",kernelFunc:TT};function _T(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{dim:s}=n,i=x.parseAxisParam([s],o.shape),a=NT({inputs:{x:o},backend:e,attrs:{reductionIndices:i,keepDims:!1}}),u=S.expandShapeToKeepDim(a.shape,i),l=at({inputs:{x:a},backend:e,attrs:{shape:u}}),c=TT({inputs:{a:o,b:l},backend:e}),p=IT({inputs:{x:c},backend:e}),m=Xc({inputs:{x:p},backend:e,attrs:{axis:i,keepDims:!1}}),f=at({inputs:{x:m},backend:e,attrs:{shape:u}}),d=kT({inputs:{a:p,b:f},backend:e});return e.disposeIntermediateTensorInfo(a),e.disposeIntermediateTensorInfo(l),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(f),d}var T3={kernelName:Ps,backendName:"webgl",kernelFunc:_T};function $ nt(r){let{inputs:t,backend:e,attrs:n}=r,{logits:o}=t,{numSamples:s,seed:i,normalized:a}=n,u=a?o:_T({inputs:{logits:o},backend:e,attrs:{dim:o.shape.length-1}}),l=u.shape[0],c=u.shape[1],p=new Xv(l,c,s),m=[[i]],f=e.runWebGLProgram(p,[u],"int32",m);return a||e.disposeIntermediateTensorInfo(u),f}var _3={kernelName:Gp,backendName:"webgl",kernelFunc: $ nt};var Dnt=fr+ `
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return - x ;
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` ,Fnt= `
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vec4 result = - x ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
return result ;
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` ;function Rnt(r){let{inputs:t,backend:e}=r,{x:n}=t;if(e.shouldExecuteOnCPU([n])){let s=e.texData.get(n.dataId),[i,a]=kP(s.values,n.shape,n.dtype);return e.makeTensorInfo(a,n.dtype,i)}let o;return B().getBool("WEBGL_PACK_UNARY_OPERATIONS")?o=new eo(n.shape,Fnt):o=new Zr(n.shape,Dnt),e.runWebGLProgram(o,[n],n.dtype)}var E3={kernelName:hi,backendName:"webgl",kernelFunc:Rnt};var Ont=Vr.nonMaxSuppressionV3Impl;function Lnt(r){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u}=n,l=e.readSync(o.dataId),c=e.readSync(s.dataId),{selectedIndices:p}=Ont(l,c,i,a,u);return e.makeTensorInfo([p.length],"int32",new Int32Array(p))}var A3={kernelName:Aa,backendName:"webgl",kernelFunc:Lnt};var Pnt=Vr.nonMaxSuppressionV4Impl;function Mnt(r){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,padToMaxOutputSize:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),{selectedIndices:m,validOutputs:f}=Pnt(c,p,i,a,u,l);return[e.makeTensorInfo([m.length],"int32",new Int32Array(m)),e.makeTensorInfo([],"int32",new Int32Array([f]))]}var $ 3={kernelName: $ a,backendName:"webgl",kernelFunc:Mnt};var znt=Vr.nonMaxSuppressionV5Impl;function Bnt(r){S.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:e,attrs:n}=r,{boxes:o,scores:s}=t,{maxOutputSize:i,iouThreshold:a,scoreThreshold:u,softNmsSigma:l}=n,c=e.readSync(o.dataId),p=e.readSync(s.dataId),m=i,f=a,d=u,h=l,{selectedIndices:g,selectedScores:y}=znt(c,p,m,f,d,h);return[e.makeTensorInfo([g.length],"int32",new Int32Array(g)),e.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var D3={kernelName:Da,backendName:"webgl",kernelFunc:Bnt};var Yv=class{constructor(t,e,n,o){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int index = round ( getIndices ( coords . x ) ) ;
setOutput ( mix ( float ( $ { o } ) , float ( $ { n } ) ,
float ( index == coords . y ) ) ) ;
}
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` }};var Vnt=r=>{let{inputs:t,backend:e,attrs:n}=r,{indices:o}=t,{depth:s,onValue:i,offValue:a}=n,u=x.sizeFromShape(o.shape),l=new Yv(u,s,i,a),c=at({inputs:{x:o},backend:e,attrs:{shape:[u]}}),p=e.runWebGLProgram(l,[c],o.dtype);e.disposeIntermediateTensorInfo(c);let m=[...o.shape,s],f=at({inputs:{x:p},backend:e,attrs:{shape:m}});return e.disposeIntermediateTensorInfo(p),f},F3={kernelName:vs,backendName:"webgl",kernelFunc:Vnt};function ug(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype==="complex64"){let o=hl({inputs:{input:n},backend:e}),s=ug({inputs:{x:o},backend:e}),i=Zc({inputs:{input:n},backend:e}),a=ug({inputs:{x:i},backend:e}),u=An({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return gl({attrs:{shape:n.shape,dtype:n.dtype,value:n.dtype==="string"?"":0},backend:e})}var R3={kernelName:Si,backendName:"webgl",kernelFunc:ug};function O3(r){let{inputs:t,backend:e}=r,{x:n}=t;if(n.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(n.dtype==="complex64"){let o=hl({inputs:{input:n},backend:e}),s=O3({inputs:{x:o},backend:e}),i=Zc({inputs:{input:n},backend:e}),a=ug({inputs:{x:i},backend:e}),u=An({inputs:{real:s,imag:a},backend:e});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(s),e.disposeIntermediateTensorInfo(i),e.disposeIntermediateTensorInfo(a),u}else return gl({attrs:{shape:n.shape,dtype:n.dtype,value:1},backend:e})}var L3={kernelName:gi,backendName:"webgl",kernelFunc:O3};function Gnt(r){let{inputs:t,backend:e,attrs:n}=r,{axis:o}=n;if(t.length===1)return Rv({inputs:{input:t[0]},backend:e,attrs:{dim:o}});let s=t[0].shape,i=t[0].dtype;t.forEach(c=>{x.assertShapesMatch(s,c.shape,"All tensors passed to stack must have matching shapes"),x.assert(i===c.dtype,()=>"All tensors passed to stack must have matching dtypes")});let a=[],u=t.map(c=>{let p=Rv({inputs:{input:c},backend:e,attrs:{dim:o}});return a.push(p),p}),l=CT({inputs:u,backend:e,attrs:{axis:o}});return a.forEach(c=>e.disposeIntermediateTensorInfo(c)),l}var P3={kernelName:xi,backendName:"webgl",kernelFunc:Gnt};var Zv=class{constructor(t,e,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((l,c)=>l[0]+t[c]+l[1]);let o=t.length,s=Wt(o),i=e.map(l=>l[0]).join(","),a=e.map((l,c)=>l[0]+t[c]).join(","),u=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,o);if(o===1){this.userCode= `
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int start = $ { i } ;
int end = $ { a } ;
void main ( ) {
int outC = getOutputCoords ( ) ;
if ( outC < start || outC >= end ) {
setOutput ( value ) ;
} else {
setOutput ( getX ( outC - start ) ) ;
}
}
` ;return}this.userCode= `
$ { s } start = $ { s } ( $ { i } ) ;
$ { s } end = $ { s } ( $ { a } ) ;
void main ( ) {
$ { s } outC = getOutputCoords ( ) ;
if ( any ( lessThan ( outC , start ) ) || any ( greaterThanEqual ( outC , end ) ) ) {
setOutput ( value ) ;
} else {
$ { s } coords = outC - start ;
setOutput ( getX ( $ { u } ) ) ;
}
}
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` }};var Jv=class{constructor(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=e.map((h,g)=>h[0]+t[g]+h[1]);let o=t.length,s=Wt(o),i=e.map(h=>h[0]).join(","),a=e.map((h,g)=>h[0]+t[g]).join(","),u=tr("rc",o),l=tr("source",o),c= ` $ { u [ o - 1 ] } < $ { this . outputShape [ o - 1 ] } ` ,p=o===1?"source": ` vec2 ( $ { l . slice ( - 2 ) . join ( ) } ) ` ,m=[ ` $ { s } rc = outputLoc ; ` , ` $ { u [ o - 1 ] } += 1 ;
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if ( $ { c } ) {
` ,o===1?"": ` }
rc = outputLoc ;
$ { u [ o - 2 ] } += 1 ;
if ( $ { u [ o - 2 ] } < $ { this . outputShape [ o - 2 ] } ) { ` ,o===1?"": ` $ { u [ o - 1 ] } += 1 ;
if ( $ { c } ) { ` ],f=o===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",d="";for(let h=0,g=o===1?2:4;h<g;h++)d+= `
$ { m [ h ] }
if ( $ { f } ) {
result [ $ { h } ] = float ( value ) ;
} else {
$ { s } source = rc - start ;
result [ $ { h } ] = getChannel ( getX ( $ { l . join ( ) } ) , $ { p } ) ;
}
` ;d+=o===1?"} ":"}}",this.userCode= `
const $ { s } start = $ { s } ( $ { i } ) ;
const $ { s } end = $ { s } ( $ { a } ) ;
void main ( ) {
$ { s } outputLoc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
$ { d }
setOutput ( result ) ;
}
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` }};var ET=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{paddings:s,constantValue:i}=n;if(x.sizeFromShape(o.shape)===0){let l=s.map((c,p)=>c[0]+o.shape[p]+c[1]);return gl({backend:e,attrs:{shape:l,value:i,dtype:o.dtype}})}let a=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Jv(o.shape,s,i):new Zv(o.shape,s,i),u=[[i]];return e.runWebGLProgram(a,[o],o.dtype,u)},M3={kernelName:Cs,backendName:"webgl",kernelFunc:ET};var Wnt= `
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if ( a < 0.0 && floor ( b ) < b ) {
return NAN ;
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}
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if ( b == 0.0 ) {
return 1.0 ;
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}
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return ( round ( mod ( b , 2.0 ) ) != 1 ) ?
pow ( abs ( a ) , b ) : sign ( a ) * pow ( abs ( a ) , b ) ;
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` ,Unt= `
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// isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
vec4 isModRound1 = vec4 ( equal ( round ( mod ( b , 2.0 ) ) , ivec4 ( 1 ) ) ) ;
vec4 multiplier = sign ( a ) * isModRound1 + ( vec4 ( 1.0 ) - isModRound1 ) ;
vec4 result = multiplier * pow ( abs ( a ) , b ) ;
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// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
bvec4 isExpZero = equal ( b , vec4 ( 0.0 ) ) ;
result . r = isExpZero . r ? 1.0 : result . r ;
result . g = isExpZero . g ? 1.0 : result . g ;
result . b = isExpZero . b ? 1.0 : result . b ;
result . a = isExpZero . a ? 1.0 : result . a ;
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vec4 isNaN = vec4 ( lessThan ( a , vec4 ( 0.0 ) ) ) * vec4 ( lessThan ( floor ( b ) , b ) ) ;
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` +Tu+ `
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return result ;
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` ,Hnt=ce({opSnippet:Wnt,packedOpSnippet:Unt}),z3={kernelName:Is,backendName:"webgl",kernelFunc:Hnt};function qnt(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{axis:s,keepDims:i}=n,a=o.shape.length,u=[],l=x.parseAxisParam(s,o.shape),c=l,p=S.getAxesPermutation(c,a),m=o;p!=null&&(m=Pe({inputs:{x:o},backend:e,attrs:{perm:p}}),c=S.getInnerMostAxes(c.length,a),u.push(m)),S.assertAxesAreInnerMostDims("prod",c,a);let f;if(e.shouldExecuteOnCPU([m])){let d=e.texData.get(m.dataId).values,{outVals:h,outShape:g,outDtype:y}=_P(m.shape,m.dtype,d,c);f=e.makeTensorInfo(g,y,h)}else{let[d,h]=S.computeOutAndReduceShapes(m.shape,c),g=x.sizeFromShape(h),y=at({inputs:{x:m},backend:e,attrs:{shape:[-1,g]}}),b=Ku(o.dtype),w=Un(y,b,"prod",e);f=at({inputs:{x:w},backend:e,attrs:{shape:d}}),u.push(y),u.push(w)}if(i){u.push(f);let d=S.expandShapeToKeepDim(f.shape,l);f=at({inputs:{x:f},backend:e,attrs:{shape:d}})}return u.forEach(d=>e.disposeIntermediateTensorInfo(d)),f}var B3={kernelName:Ns,backendName:"webgl",kernelFunc:qnt};var AT=r=>{let{backend:t,attrs:e}=r,{start:n,stop:o,step:s,dtype:i}=e,a=EP(n,o,s,i);return t.makeTensorInfo([a.length],i,a)},V3={kernelName:Al,backendName:"webgl",kernelFunc:AT};var Knt="return 1.0 / x;",jnt=It({opSnippet:Knt}),G3={kernelName:Fa,backendName:"webgl",kernelFunc:jnt};var Xnt=fr+ `
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return ( x < 0.0 ) ? 0.0 : x ;
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` ,Ynt= `
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vec4 result = x * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
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result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
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return result ;
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` ,Znt=It({opSnippet:Xnt,packedOpSnippet:Ynt}),W3={kernelName:ks,backendName:"webgl",kernelFunc:Znt};var Jnt=fr+ `
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return ( x < 0.0 ) ? 0.0 : min ( 6.0 , x ) ;
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` ,Qnt= `
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vec4 result = min ( x , vec4 ( 6. ) ) * vec4 ( greaterThanEqual ( x , vec4 ( 0.0 ) ) ) ;
bvec4 isNaN = isnan ( x ) ;
result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
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return result ;
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` ,tot=It({opSnippet:Jnt,packedOpSnippet:Qnt}),U3={kernelName:Es,backendName:"webgl",kernelFunc:tot};var Qv=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":m="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec2 effectiveInputOverOutputRatioRC = vec2 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { a } . 0 , $ { u } . 0 ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
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// Fractional source index.
vec2 sourceFracIndexRC = $ { m } ;
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// Compute the four integer indices.
ivec2 sourceFloorRC = ivec2 ( max ( sourceFracIndexRC , vec2 ( 0.0 ) ) ) ;
ivec2 sourceCeilRC = ivec2 (
min ( inputShapeRC - 1.0 , ceil ( sourceFracIndexRC ) ) ) ;
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float topLeft = getA ( b , sourceFloorRC . x , sourceFloorRC . y , d ) ;
float bottomLeft = getA ( b , sourceCeilRC . x , sourceFloorRC . y , d ) ;
float topRight = getA ( b , sourceFloorRC . x , sourceCeilRC . y , d ) ;
float bottomRight = getA ( b , sourceCeilRC . x , sourceCeilRC . y , d ) ;
vec2 fracRC = sourceFracIndexRC - vec2 ( sourceFloorRC ) ;
float top = topLeft + ( topRight - topLeft ) * fracRC . y ;
float bottom = bottomLeft + ( bottomRight - bottomLeft ) * fracRC . y ;
float newValue = top + ( bottom - top ) * fracRC . x ;
setOutput ( newValue ) ;
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}
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` }};var tC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m;s?m="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":m="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec3 effectiveInputOverOutputRatioRC = vec3 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { a } . 0 , $ { u } . 0 ,
$ { u } . 0 ) ;
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float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
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}
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void main ( ) {
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ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
// Calculate values for next column in yRC.z.
ivec3 yRC = coords . yzz + ivec3 ( 0 , 0 , 1 ) ;
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// Fractional source index.
vec3 sourceFracIndexRC = $ { m } ;
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// Compute the four integer indices.
ivec3 sourceFloorRC = ivec3 ( max ( sourceFracIndexRC , vec3 ( 0.0 ) ) ) ;
ivec3 sourceCeilRC = ivec3 (
min ( inputShapeRC - 1.0 , ceil ( sourceFracIndexRC ) ) ) ;
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// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < $ { l - 1 } ;
bool hasNextRow = coords . z < $ { n - 1 } ;
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// In parallel, construct four corners for all four components in
// packed 2x2 cell.
vec4 topLeft = vec4 (
getAValue ( b , sourceFloorRC . x , sourceFloorRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceFloorRC . x , sourceFloorRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceFloorRC . x , sourceFloorRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceFloorRC . x , sourceFloorRC . z , d + 1 ) : 0.0 ) ;
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vec4 bottomLeft = vec4 (
getAValue ( b , sourceCeilRC . x , sourceFloorRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceCeilRC . x , sourceFloorRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceCeilRC . x , sourceFloorRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceCeilRC . x , sourceFloorRC . z , d + 1 ) : 0.0 ) ;
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vec4 topRight = vec4 (
getAValue ( b , sourceFloorRC . x , sourceCeilRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceFloorRC . x , sourceCeilRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceFloorRC . x , sourceCeilRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceFloorRC . x , sourceCeilRC . z , d + 1 ) : 0.0 ) ;
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vec4 bottomRight = vec4 (
getAValue ( b , sourceCeilRC . x , sourceCeilRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceCeilRC . x , sourceCeilRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceCeilRC . x , sourceCeilRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceCeilRC . x , sourceCeilRC . z , d + 1 ) : 0.0 ) ;
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vec3 fracRC = sourceFracIndexRC - vec3 ( sourceFloorRC ) ;
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vec4 top = mix ( topLeft , topRight , fracRC . yyzz ) ;
vec4 bottom = mix ( bottomLeft , bottomRight , fracRC . yyzz ) ;
vec4 newValue = mix ( top , bottom , fracRC . x ) ;
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setOutput ( newValue ) ;
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}
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` }};function eot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=B().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new tC(o.shape,u,l,s,i):new Qv(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],"float32")}var H3={kernelName:_s,backendName:"webgl",kernelFunc:eot};var eC=class{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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float accumulator = 0.0 ;
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const float heightScale = float ( $ { c } ) ;
const float widthScale = float ( $ { p } ) ;
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const float invHeightScale = float ( $ { m } ) ;
const float invWidthScale = float ( $ { f } ) ;
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const int winHeight = int ( $ { d } ) ;
const int winWidth = int ( $ { h } ) ;
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// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( startRLerp - float ( winHeight / 2 ) ) ;
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float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( startCLerp - float ( winWidth / 2 ) ) ;
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// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
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// Guard against the window exceeding the bounds of dy
if ( dyR < 0 || dyR >= $ { i } ) {
continue ;
}
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for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
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// Guard against the window exceeding the bounds of dy
if ( dyC < 0 || dyC >= $ { a } ) {
continue ;
}
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float dxR = float ( dyR ) * heightScale ;
int topDxRIndex = int ( floor ( dxR ) ) ;
int bottomDxRIndex = int ( min ( ceil ( dxR ) , $ { o - 1 } . 0 ) ) ;
float dxRLerp = dxR - float ( topDxRIndex ) ;
float inverseDxRLerp = 1.0 - dxRLerp ;
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float dxC = float ( dyC ) * widthScale ;
int leftDxCIndex = int ( floor ( dxC ) ) ;
int rightDxCIndex = int ( min ( ceil ( dxC ) , $ { s - 1 } . 0 ) ) ;
float dxCLerp = dxC - float ( leftDxCIndex ) ;
float inverseDxCLerp = 1.0 - dxCLerp ;
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if ( r == topDxRIndex && c == leftDxCIndex ) {
// topLeft
accumulator +=
getDy ( b , dyR , dyC , d ) * inverseDxRLerp * inverseDxCLerp ;
}
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if ( r == topDxRIndex && c == rightDxCIndex ) {
// topRight
accumulator += getDy ( b , dyR , dyC , d ) * inverseDxRLerp * dxCLerp ;
}
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if ( r == bottomDxRIndex && c == leftDxCIndex ) {
// bottomLeft
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * inverseDxCLerp ;
}
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if ( r == bottomDxRIndex && c == rightDxCIndex ) {
// bottomRight
accumulator += getDy ( b , dyR , dyC , d ) * dxRLerp * dxCLerp ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
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}
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` }};function rot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new eC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var q3={kernelName:Hp,backendName:"webgl",kernelFunc:rot};var rC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":f="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec2 effectiveInputOverOutputRatioRC = vec2 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec2 inputShapeRC = vec2 ( $ { a } . 0 , $ { u } . 0 ) ;
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
ivec2 yRC = coords . yz ;
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// Fractional source index.
vec2 sourceFracIndexRC = $ { f } ;
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// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2 (
min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { m } ) ) ) ;
float newValue = getA ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ;
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setOutput ( newValue ) ;
}
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` }};var nC=class{constructor(t,e,n,o,s){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[i,a,u,l]=t;this.outputShape=[i,e,n,l];let c=[o&&e>1?a-1:a,o&&n>1?u-1:u],p=[o&&e>1?e-1:e,o&&n>1?n-1:n],m=o?"0.5":"0.0",f;s?f="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":f="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode= `
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const vec3 effectiveInputOverOutputRatioRC = vec3 (
$ { c [ 0 ] / p [ 0 ] } ,
$ { c [ 1 ] / p [ 1 ] } ,
$ { c [ 1 ] / p [ 1 ] } ) ;
const vec3 inputShapeRC = vec3 ( $ { a } . 0 , $ { u } . 0 ,
$ { u } . 0 ) ;
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float getAValue ( int b , int r , int c , int d ) {
return getChannel ( getA ( b , r , c , d ) , vec2 ( c , d ) ) ;
}
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
// Calculate values for next column in yRC.z.
ivec3 yRC = coords . yzz + ivec3 ( 0 , 0 , 1 ) ;
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// Fractional source index.
vec3 sourceFracIndexRC = $ { f } ;
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// Compute the coordinators of nearest neighbor point.
ivec3 sourceNearestRC = ivec3 (
min ( inputShapeRC - 1.0 , floor ( sourceFracIndexRC + $ { m } ) ) ) ;
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// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < $ { l - 1 } ;
bool hasNextRow = coords . z < $ { n - 1 } ;
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vec4 newValue = vec4 (
getAValue ( b , sourceNearestRC . x , sourceNearestRC . y , d ) ,
hasNextCol ? getAValue ( b , sourceNearestRC . x , sourceNearestRC . y , d + 1 )
: 0.0 ,
hasNextRow ? getAValue ( b , sourceNearestRC . x , sourceNearestRC . z , d )
: 0.0 ,
( hasNextRow && hasNextCol ) ?
getAValue ( b , sourceNearestRC . x , sourceNearestRC . z , d + 1 ) : 0.0 ) ;
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setOutput ( newValue ) ;
}
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` }};function not(r){let{inputs:t,backend:e,attrs:n}=r,{images:o}=t,{alignCorners:s,halfPixelCenters:i,size:a}=n,[u,l]=a,c=B().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new nC(o.shape,u,l,s,i):new rC(o.shape,u,l,s,i);return e.runWebGLProgram(c,[o],o.dtype)}var K3={kernelName:Ts,backendName:"webgl",kernelFunc:not};var oC=class{constructor(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e;let[,o,s]=e,[,i,a]=t,u=[n&&i>1?o-1:o,n&&a>1?s-1:s],l=[n&&i>1?i-1:i,n&&a>1?a-1:a],c=u[0]/l[0],p=u[1]/l[1],m=1/c,f=1/p,d=Math.ceil(m)*2+2,h=Math.ceil(f)*2+2;this.userCode= `
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int b = coords [ 0 ] ;
int d = coords [ 3 ] ;
int r = coords [ 1 ] ;
int c = coords [ 2 ] ;
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float accumulator = 0.0 ;
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const float heightScale = float ( $ { c } ) ;
const float widthScale = float ( $ { p } ) ;
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const float invHeightScale = float ( $ { m } ) ;
const float invWidthScale = float ( $ { f } ) ;
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const int winHeight = int ( $ { d } ) ;
const int winWidth = int ( $ { h } ) ;
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// Compute bounds for where in dy we will look
float startRLerp = floor ( float ( r ) * invHeightScale ) ;
int startDyR = int ( floor ( startRLerp - float ( winHeight / 2 ) ) ) ;
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float startCLerp = floor ( float ( c ) * invWidthScale ) ;
int startDyC = int ( floor ( startCLerp - float ( winWidth / 2 ) ) ) ;
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// Loop over dy
for ( int dyROffset = 0 ; dyROffset < winHeight ; dyROffset ++ ) {
int dyR = dyROffset + startDyR ;
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// Guard against the window exceeding the bounds of dy
if ( dyR < 0 || dyR >= $ { i } ) {
continue ;
}
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for ( int dyCOffset = 0 ; dyCOffset < winWidth ; dyCOffset ++ ) {
int dyC = dyCOffset + startDyC ;
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// Guard against the window exceeding the bounds of dy
if ( dyC < 0 || dyC >= $ { a } ) {
continue ;
}
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float sourceFracRow =
float ( $ { u [ 0 ] } ) *
( float ( dyR ) / float ( $ { l [ 0 ] } ) ) ;
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float sourceFracCol =
float ( $ { u [ 1 ] } ) *
( float ( dyC ) / float ( $ { l [ 1 ] } ) ) ;
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int sourceNearestRow = int ( min (
float ( int ( $ { o } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracRow ) ) :
float ( floor ( sourceFracRow ) ) ) ) ;
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int sourceNearestCol = int ( min (
float ( int ( $ { s } ) - 1 ) ,
$ { n } ? float ( round ( sourceFracCol ) ) :
float ( floor ( sourceFracCol ) ) ) ) ;
if ( r == sourceNearestRow && c == sourceNearestCol ) {
accumulator += getDy ( b , dyR , dyC , d ) ;
}
}
}
// End loop over dy
setOutput ( accumulator ) ;
}
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` }};function oot(r){let{inputs:t,backend:e,attrs:n}=r,{images:o,dy:s}=t,{alignCorners:i}=n,a=new oC(s.shape,o.shape,i);return e.runWebGLProgram(a,[s],s.dtype)}var j3={kernelName:Up,backendName:"webgl",kernelFunc:oot};var sC=class{constructor(t,e){this.variableNames=["x"];let n=t.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );if(this.outputShape=t,n===1){this.userCode= `
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void main ( ) {
int coord = getOutputCoords ( ) ;
setOutput ( getX ( $ { t [ 0 ] } - coord - 1 ) ) ;
}
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` ;return}let o=a=>e.indexOf(a)!==-1&&t[a]!==1? ` $ { t [ a ] } - coords [ $ { a } ] - 1 ` : ` coords [ $ { a } ] ` ,s=t.map((a,u)=>o(u)).join(","),i=Wt(n);this.userCode= `
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void main ( ) {
$ { i } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { s } ) ) ;
}
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` }};var iC=class{constructor(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=t.length;if(n>4)throw new Error( ` WebGL backend : Reverse of rank - $ { n } tensor is not yet supported ` );this.outputShape=t;let o=tr("rc",n),s= ` $ { o [ n - 1 ] } + 1 < $ { this . outputShape [ n - 1 ] } ` ,i= ` $ { o [ n - 2 ] } + 1 < $ { this . outputShape [ n - 2 ] } ` ,a=Wt(n);n===1?this.userCode= `
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void main ( ) {
int rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = getChannel ( getX ( $ { t [ 0 ] } - rc - 1 ) ,
$ { t [ 0 ] } - rc - 1 ) ;
if ( $ { s } ) {
result . g = getChannel ( getX ( $ { t [ 0 ] } - ( rc + 1 ) - 1 ) ,
$ { t [ 0 ] } - ( rc + 1 ) - 1 ) ;
}
setOutput ( result ) ;
}
` :this.userCode= `
void main ( ) {
$ { a } rc = getOutputCoords ( ) ;
vec4 result = vec4 ( 0. ) ;
result . r = $ { u ( o . slice ( ) ) } ;
if ( $ { s } ) {
result . g = $ { l ( o . slice ( ) ) } ;
}
if ( $ { i } ) {
result . b = $ { c ( o . slice ( ) ) } ;
if ( $ { s } ) {
result . a = $ { p ( o . slice ( ) ) } ;
}
}
setOutput ( result ) ;
}
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` ;function u(d){return m(d)}function l(d){return d[n-1]="("+d[n-1]+" + 1)",m(d)}function c(d){return d[n-2]="("+d[n-2]+" + 1)",m(d)}function p(d){return d[n-1]="("+d[n-1]+" + 1)",d[n-2]="("+d[n-2]+" + 1)",m(d)}function m(d){let h=t.map((b,w)=>f(w,d)),g=h.join(","),y=h.slice(-2).join(",");return ` getChannel ( getX ( $ { g } ) , vec2 ( $ { y } ) ) ` }function f(d,h){return e.indexOf(d)!==-1&&t[d]!==1? ` $ { t [ d ] } - $ { h [ d ] } - 1 ` : ` $ { h [ d ] } ` }}};function sot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{dims:s}=n,i=o.shape.length,a=x.parseAxisParam(s,o.shape);if(i===0)return er({inputs:{x:o},backend:e});let u=B().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new iC(o.shape,a):new sC(o.shape,a);return e.runWebGLProgram(u,[o],o.dtype)}var X3={kernelName:As,backendName:"webgl",kernelFunc:sot};var aC=class{constructor(t,e){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=t[1],o=t[2];this.outputShape=t;let s="";typeof e=="number"?s= ` float outputValue = $ { e . toFixed ( 2 ) } ; ` :s= `
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vec3 fill = vec3 ( $ { e . join ( "," ) } ) ;
float outputValue = fill [ coords [ 3 ] ] ; ` ,this.userCode= `
void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
int x = coords [ 2 ] ;
int y = coords [ 1 ] ;
float coordXFloat = ( float ( x ) - params [ 0 ] ) * params [ 3 ] -
( float ( y ) - params [ 1 ] ) * params [ 2 ] ;
float coordYFloat = ( float ( x ) - params [ 0 ] ) * params [ 2 ] +
( float ( y ) - params [ 1 ] ) * params [ 3 ] ;
int coordX = int ( round ( coordXFloat + params [ 0 ] ) ) ;
int coordY = int ( round ( coordYFloat + params [ 1 ] ) ) ;
$ { s }
if ( coordX >= 0 && coordX < $ { o } && coordY >= 0 && coordY < $ { n } ) {
outputValue = getImage ( coords [ 0 ] , coordY , coordX , coords [ 3 ] ) ;
}
setOutput ( outputValue ) ;
}
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` }};var Y3={kernelName:Wa,backendName:"webgl",kernelFunc:({inputs:r,attrs:t,backend:e})=>{let{image:n}=r,{radians:o,fillValue:s,center:i}=t,a=e,u=new aC(n.shape,s),[l,c]=S.getImageCenter(i,n.shape[1],n.shape[2]),p=[[l,c,Math.sin(o),Math.cos(o)]];return a.runWebGLProgram(u,[n],n.dtype,p)}};var iot= `
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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 ;
2021-04-01 19:39:54 +02:00
}
}
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` ,aot=It({opSnippet:iot}),Z3={kernelName: $ s,backendName:"webgl",kernelFunc:aot};var lot="return inversesqrt(x);",uot=It({opSnippet:lot,cpuKernelImpl:AP}),J3={kernelName:Ds,backendName:"webgl",kernelFunc:uot};var Rd=class{constructor(t,e,n,o,s,i,a=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;let u=Wt(s.length),l=Wt(i.length),c="";n===1?c="i":n===2&&(c="i, j");let p= ` getIndices ( $ { c } ) ` ,m="";o===1?m="i":o===2&&(m="i, coords[1]");let f= ` getUpdates ( $ { m } ) ` ,d=e>1?"strides[j]":"strides";this.userCode= `
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$ { u } strides = $ { u } ( $ { s } ) ;
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void main ( ) {
$ { l } coords = getOutputCoords ( ) ;
float sum = 0.0 ;
bool found = false ;
for ( int i = 0 ; i < $ { t } ; i ++ ) {
int flattenedIndex = 0 ;
for ( int j = 0 ; j < $ { e } ; j ++ ) {
int index = round ( $ { p } ) ;
flattenedIndex += index * $ { d } ;
}
if ( flattenedIndex == coords [ 0 ] ) {
sum += $ { f } ;
found = true ;
}
}
setOutput ( mix ( getDefaultValue ( ) , sum , float ( found ) ) ) ;
}
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` }};function cot(r){let{inputs:t,backend:e,attrs:n}=r,{indices:o,updates:s}=t,{shape:i}=n,{sliceRank:a,numUpdates:u,sliceSize:l,strides:c,outputSize:p}=S.calculateShapes(s,o,i),m=[p/l,l];if(p===0)return e.makeTensorInfo(i,o.dtype);let f=at({inputs:{x:o},backend:e,attrs:{shape:[u,a]}}),d=at({inputs:{x:s},backend:e,attrs:{shape:[u,l]}}),h=e.makeTensorInfo([],"float32",new Float32Array([0])),g=new Rd(u,a,f.shape.length,d.shape.length,c,m),y=e.runWebGLProgram(g,[d,f,h],d.dtype),b=at({inputs:{x:y},backend:e,attrs:{shape:i}});return e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(y),e.disposeIntermediateTensorInfo(h),b}var Q3={kernelName:Ra,backendName:"webgl",kernelFunc:cot};var lC=class{constructor(t,e,n,o){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[t,n];let s="while (left < right) {",i= ` for ( int i = 0 ; i < $ { Math . ceil ( Math . log2 ( e + 1 ) ) } ; ++ i ) { if ( left >= right ) break ; ` ,a=B().getNumber("WEBGL_VERSION")===2?s:i,u=o==="left"?"<":"<=";this.userCode= `
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int findBound ( int batch , float value ) {
int left = 0 ;
int right = numInputs ;
int mid ;
$ { a }
mid = ( left + right ) / 2 ;
if ( getSortedSequence ( batch , mid ) $ { u } value ) {
left = mid + 1 ;
} else {
right = mid ;
}
}
return right ;
}
void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int valueIndex = coords [ 1 ] ;
float value = getValues ( batch , valueIndex ) ;
setOutput ( float ( findBound ( batch , value ) ) ) ;
}
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` }};function pot(r){let{inputs:t,backend:e,attrs:n}=r,{sortedSequence:o,values:s}=t,{side:i}=n,a=new lC(o.shape[0],o.shape[1],s.shape[1],i),u=[[o.shape[1]]];return e.runWebGLProgram(a,[o,s],"int32",u)}var tB={kernelName:qp,backendName:"webgl",kernelFunc:pot};var uC=class{constructor(t,e,n){this.variableNames=["c","a","b"],this.outputShape=e;let o,s;if(n>4)throw Error( ` Where for rank $ { n } is not yet supported ` );if(n===1)s="resRC",o="resRC";else{let a=["resRC.x","resRC.y","resRC.z","resRC.w"],u=[],l=[];for(let c=0;c<e.length;c++)l.push( ` $ { a [ c ] } ` ),c<t&&u.push( ` $ { a [ c ] } ` );o=u.join(),s=l.join()}let i=Wt(n);this.userCode= `
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void main ( ) {
$ { i } resRC = getOutputCoords ( ) ;
float cVal = getC ( $ { o } ) ;
if ( cVal >= 1.0 ) {
setOutput ( getA ( $ { s } ) ) ;
} else {
setOutput ( getB ( $ { s } ) ) ;
}
}
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` }};function mot(r){let{inputs:t,backend:e}=r,{condition:n,t:o,e:s}=t,i=new uC(n.shape.length,o.shape,o.shape.length);return e.runWebGLProgram(i,[n,o,s],ir(o.dtype,s.dtype))}var eB={kernelName:bi,backendName:"webgl",kernelFunc:mot};var fot= `
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// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
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float scaleAlpha = $ { S . SELU _SCALEALPHA } ;
float scale = $ { S . SELU _SCALE } ;
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return ( x >= 0.0 ) ? scale * x : scaleAlpha * ( exp ( x ) - 1.0 ) ;
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` ,dot=It({opSnippet:fot}),rB={kernelName:Oa,backendName:"webgl",kernelFunc:dot};var hot=Ro+ `
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return 1.0 / ( 1.0 + exp ( - 1.0 * x ) ) ;
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` ,got= `
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vec4 result = 1.0 / ( 1.0 + exp ( - 1.0 * x ) ) ;
bvec4 isNaN = isnan ( x ) ;
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result . r = isNaN . r ? x . r : result . r ;
result . g = isNaN . g ? x . g : result . g ;
result . b = isNaN . b ? x . b : result . b ;
result . a = isNaN . a ? x . a : result . a ;
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return result ;
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` ,xot=It({opSnippet:hot,packedOpSnippet:got,cpuKernelImpl:DP}),nB={kernelName:Rs,backendName:"webgl",kernelFunc:xot};var yot= `
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if ( isnan ( x ) ) { return 0.0 ; }
return sign ( x ) ;
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` ,bot=It({opSnippet:yot}),oB={kernelName:Pa,backendName:"webgl",kernelFunc:bot};var wot=Ro+ `
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return sin ( x ) ;
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` ,vot=It({opSnippet:wot}),sB={kernelName:Fs,backendName:"webgl",kernelFunc:vot};var Cot= `
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float e2x = exp ( x ) ;
return ( e2x - 1.0 / e2x ) / 2.0 ;
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` ,Iot=It({opSnippet:Cot}),iB={kernelName:La,backendName:"webgl",kernelFunc:Iot};var Sot= `
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float epsilon = 1.1920928955078125 e - 7 ;
float threshold = log ( epsilon ) + 2.0 ;
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bool too _large = x > - threshold ;
bool too _small = x < threshold ;
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float result ;
float exp _x = exp ( x ) ;
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if ( too _large ) {
result = x ;
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}
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else if ( too _small ) {
result = exp _x ;
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}
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else {
result = log ( exp _x + 1.0 ) ;
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}
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return result ;
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` ,Not=It({opSnippet:Sot}),aB={kernelName:Ma,backendName:"webgl",kernelFunc:Not};var kot=r=>{let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{blockShape:s,paddings:i}=n;x.assert(o.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let a=s.reduce((y,b)=>y*b),u=[[0,0]];u.push(...i);for(let y=1+s.length;y<o.shape.length;++y)u.push([0,0]);let l=[],c=ET({inputs:{x:o},backend:e,attrs:{paddings:u,constantValue:0}}),p=S.getReshaped(c.shape,s,a,!1),m=S.getPermuted(p.length,s.length,!1),f=S.getReshapedPermuted(c.shape,s,a,!1),d=at({inputs:{x:c},backend:e,attrs:{shape:p}}),h=Pe({inputs:{x:d},backend:e,attrs:{perm:m}}),g=at({inputs:{x:h},backend:e,attrs:{shape:f}});return l.push(c),l.push(d),l.push(h),l.forEach(y=>e.disposeIntermediateTensorInfo(y)),g},lB={kernelName:vi,backendName:"webgl",kernelFunc:kot};function Tot(r){let{inputs:t,backend:e}=r,{indices:n,values:o,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error( ` Dense shape must be a vector , saw :
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$ { s . shape } ` );if(n.shape.length!==2)throw new Error( ` Indices must be a matrix , saw :
$ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Values must be a vector , saw :
$ { o . shape } ` );if(i.shape.length!==0)throw new Error( ` Default value must be a scalar , saw :
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$ { i . shape } ` );let a=e.readSync(n.dataId),u=e.readSync(o.dataId),l=e.readSync(s.dataId),c=e.readSync(i.dataId)[0],[p,m,f,d,h]=RP(a,n.shape,n.dtype,u,o.dtype,l,c);return[e.makeTensorInfo(m,n.dtype,p),e.makeTensorInfo([m[0]],o.dtype,f),e.makeTensorInfo([d.length],"bool",new Uint8Array(d.map(g=>Number(g)))),e.makeTensorInfo([h.length],n.dtype,new Int32Array(h))]}var uB={kernelName: $ l,backendName:"webgl",kernelFunc:Tot};function _ot(r){let{inputs:t,backend:e}=r,{inputIndices:n,inputShape:o,newShape:s}=t;if(n.shape.length!==2)throw new Error( ` Input indices should be a matrix but received shape $ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape $ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let i=Array.from(e.readSync(o.dataId)),a=e.readSync(n.dataId),u=Array.from(e.readSync(s.dataId)),[l,c,p]=OP(a,n.shape,n.dtype,i,u);return[e.makeTensorInfo(c,n.dtype,l),e.makeTensorInfo([p.length],s.dtype,new Int32Array(p))]}var cB={kernelName:za,backendName:"webgl",kernelFunc:_ot};function Eot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
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$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { s . shape } ` );let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=Hw(i,n.shape,n.dtype,a,u,!0);return e.makeTensorInfo(c,n.dtype,l)}var pB={kernelName:Dl,backendName:"webgl",kernelFunc:Eot};function Aot(r){let{inputs:t,backend:e}=r,{data:n,indices:o,segmentIds:s}=t;if(n.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(o.shape.length!==1)throw new Error( ` Indices should be a vector but received shape
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$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Segment ids should be a vector but received shape
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$ { s . shape } ` );let i=e.readSync(n.dataId),a=e.readSync(o.dataId),u=e.readSync(s.dataId),[l,c]=Hw(i,n.shape,n.dtype,a,u);return e.makeTensorInfo(c,n.dtype,l)}var mB={kernelName:Fl,backendName:"webgl",kernelFunc:Aot};function $ ot(r){let{inputs:t,backend:e,attrs:n}=r,{sparseIndices:o,sparseValues:s,defaultValue:i}=t,{outputShape:a}=n,{sliceRank:u,numUpdates:l,sliceSize:c,strides:p,outputSize:m}=S.calculateShapes(s,o,a),f=!1;if(s.dtype==="string"){let y=e.bufferSync(o),b=e.bufferSync(s),w=x.decodeString(e.readSync(i.dataId)[0]),v= $ P(y,b,a,m,c,l,u,p,w,f);return e.makeTensorInfo(a,v.dtype,v.values)}let d=new Rd(l,u,o.shape.length,s.shape.length,p,[m,1],f),h=e.runWebGLProgram(d,[s,o,i],s.dtype),g=at({inputs:{x:h},backend:e,attrs:{shape:a}});return e.disposeIntermediateTensorInfo(h),g}var fB={kernelName:Kp,backendName:"webgl",kernelFunc: $ ot};function Dot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=n,a=x.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=o.shape.length,c=new Array(l).fill(0),p=o.shape.slice();return u.map(m=>{let f=[...p];f[a]=m;let d=ii({inputs:{x:o},backend:e,attrs:{begin:c,size:f}});return c[a]+=m,d})}var dB={kernelName:Ci,backendName:"webgl",kernelFunc:Dot};var hB="return sqrt(x);",Fot=It({opSnippet:hB,packedOpSnippet:hB,cpuKernelImpl:LP}),gB={kernelName:Os,backendName:"webgl",kernelFunc:Fot};var Rot="return x * x;",Oot=It({opSnippet:Rot}),xB={kernelName:Rl,backendName:"webgl",kernelFunc:Oot};var yB="return (a - b) * (a - b);",Lot=ce({opSnippet:yB,packedOpSnippet:yB}),bB={kernelName:Ms,backendName:"webgl",kernelFunc:Lot};function Pot({inputs:r,attrs:t,backend:e}){let{x:n}=r,o=fr+ `
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return x > 0.0 ? 1.0 : float ( $ { t . alpha } ) ;
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` ,s=new Zr(n.shape,o);return e.runWebGLProgram(s,[n],n.dtype)}var wB={kernelName:uo,backendName:"webgl",kernelFunc:Pot};var cC=class{constructor(t,e,n){this.variableNames=["x"],this.outputShape=n;let o=n.length,s=Wt(n.length),i=Wt(n.length),a="";if(o===1)a="coords * strides + begin";else{let u=0;a=n.map((l,c)=>(u++,n.length===1? ` coords * strides [ $ { c } ] + begin [ $ { c } ] ` : ` coords [ $ { u - 1 } ] * strides [ $ { c } ] + begin [ $ { c } ] ` )).join(",")}this.userCode= `
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$ { s } begin = $ { s } ( $ { t } ) ;
$ { s } strides = $ { s } ( $ { e } ) ;
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void main ( ) {
$ { i } coords = getOutputCoords ( ) ;
setOutput ( getX ( $ { a } ) ) ;
}
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` }};function Mot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:y,begin:b,end:w,strides:v}=Be.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=at({inputs:{x:o},backend:e,attrs:{shape:d}});else if(g||y){x.assert(o.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { o . shape . length } ` );let $ =Be.computeOutShape(b,w,v),D=ii({inputs:{x:o},backend:e,attrs:{begin:b,size: $ }});N=at({inputs:{x:D},backend:e,attrs:{shape:d}}),e.disposeIntermediateTensorInfo(D)}else if(e.shouldExecuteOnCPU([o])){let D=e.readSync(o.dataId),L=Ct(o.shape,o.dtype,D),M=PP(f,L,v,b);N=e.makeTensorInfo(d,o.dtype,M.values)}else{let D=new cC(b,v,f);N=e.runWebGLProgram(D,[o],o.dtype)}let E=at({inputs:{x:N},backend:e,attrs:{shape:d}});return e.disposeIntermediateTensorInfo(N),E}var vB={kernelName:Ba,backendName:"webgl",kernelFunc:Mot};function zot(r){let{inputs:t,backend:e,attrs:n}=r,{separator:o,nGramWidths:s,leftPad:i,rightPad:a,padWidth:u,preserveShortSequences:l}=n,{data:c,dataSplits:p}=t,m=e.readSync(c.dataId),f=e.readSync(p.dataId),[d,h]=MP(m,f,o,s,i,a,u,l);return[e.makeTensorInfo([d.length],"string",d),e.makeTensorInfo(p.shape,"int32",h)]}var CB={kernelName:Ol,backendName:"webgl",kernelFunc:zot};function Bot(r){let{inputs:t,backend:e,attrs:n}=r,{skipEmpty:o}=n,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error( ` Input must be a vector , got shape : $ { s . shape } ` );if(i.shape.length!==0)throw new Error( ` Delimiter must be a scalar , got shape : $ { i . shape } ` );let a=e.readSync(s.dataId),u=e.readSync(i.dataId)[0],[l,c,p]=zP(a,u,o),m=c.length;return[e.makeTensorInfo([m,2],"int32",l),e.makeTensorInfo([m],"string",c),e.makeTensorInfo([2],"int32",new Int32Array(p))]}var IB={kernelName:Ll,backendName:"webgl",kernelFunc:Bot};function Vot(r){let{inputs:t,backend:e,attrs:n}=r,{numBuckets:o}=n,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(o<=0)throw new Error("Number of buckets must be at least 1");let i=e.readSync(s.dataId),a=BP(i,o);return e.makeTensorInfo(s.shape,"int32",a)}var SB={kernelName:Pl,backendName:"webgl",kernelFunc:Vot};var Got="return tan(x);",Wot=It({opSnippet:Got}),NB={kernelName:Bs,backendName:"webgl",kernelFunc:Wot};var Uot= `
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float e2x = exp ( - 2.0 * abs ( x ) ) ;
return sign ( x ) * ( 1.0 - e2x ) / ( 1.0 + e2x ) ;
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` ,Hot=It({opSnippet:Uot}),kB={kernelName:Vs,backendName:"webgl",kernelFunc:Hot};var pC=class{constructor(t,e){this.variableNames=["A"];let n=new Array(t.length);for(let i=0;i<n.length;i++)n[i]=t[i]*e[i];this.outputShape=n,this.rank=n.length;let o=Wt(this.rank),s=qot(t);this.userCode= `
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void main ( ) {
$ { o } resRC = getOutputCoords ( ) ;
setOutput ( getA ( $ { s } ) ) ;
}
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` }};function qot(r){let t=r.length;if(t>5)throw Error( ` Tile for rank $ { t } is not yet supported ` );if(t===1)return ` imod ( resRC , $ { r [ 0 ] } ) ` ;let e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],n=[];for(let o=0;o<r.length;o++)n.push( ` imod ( $ { e [ o ] } , $ { r [ o ] } ) ` );return n.join()}function $ T(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{reps:s}=n;if(o.dtype==="string"||o.shape.length>5){let u=e.readSync(o.dataId),l=o.dtype==="string"?u.map(m=>x.decodeString(m)):u,c=Ct(o.shape,o.dtype,l),p=GP(c,s);return e.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new pC(o.shape,s);return e.runWebGLProgram(i,[o],o.dtype)}var TB={kernelName:Xn,backendName:"webgl",kernelFunc: $ T};var mC=class{constructor(t){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=t,this.userCode= `
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int elemIdx = coords [ 1 ] ;
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// We compare elements pair-wise within a group of size 2 * inc.
// The comparing rule for each group alternates between ascending
// and descending. Within each group, we compare each pair at
// positions i and i+inc. To decide whether an element at position i
// is x0 or x1, we mod it by 2 * inc, if the result is smaller than
// inc, it is in the first half of the group, we denote it as x0,
// otherwise we denote it as x1.
// For example, as shown in the Bitonic top K paper referenced above,
// Figure5(a) shows that element[1] is in the
// second half of the group when group size is 2, but it is in the
// first half of the group when group size is 4.
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bool isFirstInPair = imod ( elemIdx , 2 * inc ) < inc ;
int i = isFirstInPair ? elemIdx : elemIdx - inc ;
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int i0 = firstPass == 1 ? i : int ( getIndices ( batch , i ) ) ;
int i1 = firstPass == 1 ? i + inc : int ( getIndices ( batch , i + inc ) ) ;
float x0 = i0 < n ? getX ( batch , i0 ) : negativeInf ;
float x1 = i1 < n ? getX ( batch , i1 ) : negativeInf ;
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// Denotes which direction indices are in (ascending or descending).
bool reverse = imod ( elemIdx , 2 * dir ) >= dir ;
bool isGreater = x0 > x1 || ( x0 == x1 && i1 > i0 ) ;
if ( reverse == isGreater ) { // Elements in opposite order of direction
int iTemp = i0 ;
i0 = i1 ;
i1 = iTemp ;
}
if ( isFirstInPair ) {
setOutput ( float ( i0 ) ) ;
} else {
setOutput ( float ( i1 ) ) ;
}
}
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` }},fC=class{constructor(t){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=t,this.userCode= `
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void main ( ) {
// Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int elemIdx = coords [ 1 ] ;
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// The output size is half of the previous size.
// If the previous sequence is | | | | _ _ _ _ | | | | _ _ _ _ (k=4),
// we only need to output the indices at positions |, the indices at
// positions _ can be thrown away, see Figure5(b) After Phase 2
// (Merge phase) in the Bitonic Top K paper referenced above.
// For example, the paper shows we only need to output the orange bars.
// The output sequence should look like this | | | | | | | |.
// Because the sequence is halved, to map the output index back
// to the previous sequence to find the corresponding value,
// we need to double the index. When we double the index,
// we basically interpolate a position, so 2i looks like
// | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position
// of each 2k positions by - elemIdx % k. E.g. for output at
// index 4,5,6,7, we want to get the corresponding element at
// original index 8,9,10,11, for output at index 8,9,10,11,
// we want to get the corresponding element at original index
// 16,17,18,19, so on and so forth.
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int i = elemIdx < k ? elemIdx : ( elemIdx * 2 - imod ( elemIdx , k ) ) ;
int i0 = firstPass == 1 ? i : int ( getIndices ( batch , i ) ) ;
int i1 = firstPass == 1 ? i + k : int ( getIndices ( batch , i + k ) ) ;
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float x0 = getX ( batch , i0 ) ;
float x1 = i1 < n ? getX ( batch , i1 ) : x0 ;
setOutput ( x0 >= x1 ? float ( i0 ) : float ( i1 ) ) ;
}
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` }};function Qc(r,t){t!==null&&r.disposeIntermediateTensorInfo(t)}function _B(r){let t=1;for(;t<r;)t*=2;return t}function Kot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o}=t,{k:s,sorted:i}=n,a=B().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),u=B().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),l=o.shape,c=l[l.length-1];if(e.shouldExecuteOnCPU([o])||c<a||s>u){let M=e.readSync(o.dataId),[G,H]=WP(M,l,o.dtype,s,i);return[e.makeTensorInfo(G.shape,G.dtype,G.values),e.makeTensorInfo(H.shape,H.dtype,H.values)]}if(s===0)return l[l.length-1]=0,[e.makeTensorInfo(l,o.dtype,[]),e.makeTensorInfo(l,"int32",[])];if(c===1)return[o,gl({attrs:{shape:l,dtype:"int32",value:0},backend:e})];let p=e.texData.get(o.dataId),m=p!==null&&p.isPacked,f=m?e.unpackTensor(o):o,h=x.sizeFromShape(l)/c,g=at({inputs:{x:f},attrs:{shape:[h,c]},backend:e});m&&Qc(e,f);let y=_B(s),b=_B(c),w=null,v=()=>w===null?[g,g]:[g,w],N=(M,G,H)=>{let q=v(),X=new mC(H),J=[[c],[w===null?1:0],[Number.NEGATIVE_INFINITY],[M],[G]],nt=w;w=e.runWebGLProgram(X,q,"int32",J),Qc(e,nt)};for(let M=1;M<y;M*=2){let G=M*2;for(let H=M;H>=1;H/=2)N(G,H,[h,b])}for(let M=b;M>y;M/=2){let G=v(),H=new fC([h,M/2]),X=[[c],[w===null?1:0],[y]],j=w;w=e.runWebGLProgram(H,G,"int32",X),Qc(e,j);let J=y/2,nt=J*2;for(let K=J;K>=1;K/=2)N(nt,K,w.shape)}let E=w;w=ii({inputs:{x:w},backend:e,attrs:{begin:0,size:[h,s]}}),Qc(e,E);let $ =ST({inputs:{x:g,indices:w},backend:e,attrs:{axis:1,batchDims:1}});Qc(e,g);let D=l.slice(0,-1);D.push(s),E=w,w=at({inputs:{x:w},attrs:{shape:D},backend:e}),Qc(e,E);let L= $ ;return $ =at({inputs:{x: $ },attrs:{shape:D},backend:e}),Qc(e,L),[ $ ,w]}var EB={kernelName:Va,backendName:"webgl",kernelFunc:Kot};var dC=class{constructor(t,e,n,o,s,i){this.variableNames=["Image","Transforms"],this.outputShape=i;let a=n==="nearest"?1:2,u;switch(o){case"constant":u=1;break;case"reflect":u=2;break;case"wrap":u=3;break;case"nearest":u=4;break;default:u=1;break}this.userCode= `
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float mapCoord ( float outCoord , float len ) {
float inCoord = outCoord ;
if ( $ { u } == 2 ) {
if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
if ( inCoord < sz2 ) {
inCoord = sz2 * float ( int ( float ( - inCoord / sz2 ) ) ) +
inCoord ;
}
inCoord = inCoord < - len ? inCoord + sz2 : - inCoord - 1.0 ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz2 = 2.0 * len ;
inCoord -= sz2 * float ( int ( float ( inCoord / sz2 ) ) ) ;
if ( inCoord >= len ) {
inCoord = sz2 - inCoord - 1.0 ;
}
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
} else if ( $ { u } == 3 ) {
if ( inCoord < 0.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord += len * ( float ( int ( float ( - inCoord / sz ) ) ) + 1.0 ) ;
}
} else if ( inCoord > len - 1.0 ) {
if ( len <= 1.0 ) {
inCoord = 0.0 ;
} else {
float sz = len - 1.0 ;
inCoord -= len * float ( int ( float ( inCoord / sz ) ) ) ;
}
}
return clamp ( inCoord , 0.0 , len - 1.0 ) ;
} else if ( $ { u } == 4 ) {
return clamp ( outCoord , 0.0 , len - 1.0 ) ;
} else {
return outCoord ;
}
}
float readWithFillValue ( int batch , int coordY , int coordX ,
int channel ) {
float outputValue ;
if ( 0 <= coordY && coordY < $ { t } && 0 <= coordX && coordX < $ { e } ) {
outputValue = getImage ( batch , coordY , coordX , channel ) ;
} else {
outputValue = float ( $ { s } ) ;
}
return outputValue ;
}
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void main ( ) {
ivec4 coords = getOutputCoords ( ) ;
float outputValue ;
int batch = coords [ 0 ] ;
int x = coords [ 2 ] ;
int y = coords [ 1 ] ;
int channel = coords [ 3 ] ;
float xf = float ( x ) ;
float yf = float ( y ) ;
float a1 = getTransforms ( batch , 0 ) ;
float a2 = getTransforms ( batch , 1 ) ;
float a3 = getTransforms ( batch , 2 ) ;
float b1 = getTransforms ( batch , 3 ) ;
float b2 = getTransforms ( batch , 4 ) ;
float b3 = getTransforms ( batch , 5 ) ;
float c1 = getTransforms ( batch , 6 ) ;
float c2 = getTransforms ( batch , 7 ) ;
float projection = c1 * xf + c2 * yf + 1.0 ;
if ( projection == 0.0 ) {
outputValue = float ( $ { s } ) ;
} else {
float inX = ( a1 * xf + a2 * yf + a3 ) / projection ;
float inY = ( b1 * xf + b2 * yf + b3 ) / projection ;
float mapX = mapCoord ( inX , float ( $ { e } ) ) ;
float mapY = mapCoord ( inY , float ( $ { t } ) ) ;
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if ( $ { a } == 1 ) {
int coordY = int ( round ( mapY ) ) ;
int coordX = int ( round ( mapX ) ) ;
outputValue = readWithFillValue ( batch , coordY , coordX ,
channel ) ;
} else {
float yFloor = floor ( mapY ) ;
float xFloor = floor ( mapX ) ;
float yCeil = yFloor + 1.0 ;
float xCeil = xFloor + 1.0 ;
float valueYFloor = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yFloor ) , int ( xCeil ) , channel ) ;
float valueYCeil = ( xCeil - mapX ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xFloor ) , channel ) +
( mapX - xFloor ) *
readWithFillValue ( batch , int ( yCeil ) , int ( xCeil ) , channel ) ;
outputValue = ( yCeil - mapY ) * valueYFloor +
( mapY - yFloor ) * valueYCeil ;
}
}
setOutput ( outputValue ) ;
}
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` }};function jot(r){let{inputs:t,backend:e,attrs:n}=r,{image:o,transforms:s}=t,{interpolation:i,fillMode:a,fillValue:u,outputShape:l}=n,[c,p,m,f]=o.shape,[d,h]=l!=null?l:[p,m],g=[c,d,h,f],y=new dC(p,m,i,a,u,g);return e.runWebGLProgram(y,[o,s],"float32")}var AB={kernelName:Ga,backendName:"webgl",kernelFunc:jot};function Xot(r){let{inputs:t,attrs:e,backend:n}=r,{axis:o}=e,{x:s}=t;ni(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=n.readSync(s.dataId),{outputValues:a,outputShape:u,indices:l}=UP(i,o,s.shape,s.dtype);return[n.makeTensorInfo(u,s.dtype,a),n.makeTensorInfo([l.length],"int32",l)]}var $ B={kernelName:jp,backendName:"webgl",kernelFunc:Xot};function Yot(r){let{inputs:t,backend:e,attrs:n}=r,{value:o}=t,{axis:s}=n;s<0&&(s+=o.shape.length);let i=o,a=i.shape.length,u=o.shape[s],l=new Array(a-1),c=0;for(let h=0;h<a;h++)h!==s&&(l[c++]=i.shape[h]);let p=[],m=new Array(a).fill(0),f=i.shape.slice();f[s]=1;let d=new Array(u);for(let h=0;h<d.length;h++){m[s]=h;let g=ii({inputs:{x:i},backend:e,attrs:{begin:m,size:f}}),y=at({inputs:{x:g},backend:e,attrs:{shape:l}});d[h]=y,p.push(g)}return p.forEach(h=>e.disposeIntermediateTensorInfo(h)),d}var DB={kernelName:Ii,backendName:"webgl",kernelFunc:Yot};var hC=class{constructor(t,e){this.variableNames=["x","segmentIds"];let n=t.windowSize,o=t.batchSize,s=t.inSize,i=t.numSegments,a=i*Math.ceil(s/n);this.outputShape=[o,a];let u="0.0",l="sumValue",c=Math.floor(n/4)*4,p=n%4,m= `
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sumValue += dot ( values , segFilter ) ;
` ,f="";s%n>0&&(f= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return initializationValue ;
}
` );let d="";s%n>0&&(d= `
if ( inIdx < 0 || inIdx >= $ { s } ) {
return - 1.0 ;
}
` ),this.userCode= `
const float initializationValue = $ { u } ;
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float getValue ( int batch , int inIdx ) {
$ { f }
return getX ( batch , inIdx ) ;
}
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float getSegmentIdAtIndex ( int inIdx ) {
$ { d }
return getSegmentIds ( inIdx ) ;
}
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void main ( ) {
ivec2 coords = getOutputCoords ( ) ;
int batch = coords [ 0 ] ;
int outIdx = coords [ 1 ] ;
int inOffset = int ( floor ( float ( outIdx ) / float (
$ { i } ) ) * float ( $ { n } ) ) ;
int currentSeg = int ( mod ( float ( outIdx ) , float ( $ { i } ) ) ) ;
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float sumValue = 0.0 ;
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for ( int i = 0 ; i < $ { c } ; i += 4 ) {
int inIdx = inOffset + i ;
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
getValue ( batch , inIdx + 3 )
) ;
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vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 2 ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 3 ) ) == currentSeg ? 1 : 0
) ;
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$ { m }
}
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int inIdx = inOffset + $ { c } ;
if ( $ { p === 1 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
initializationValue ,
initializationValue ,
initializationValue
) ;
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int inIdxSeg = int ( getSegmentIdAtIndex ( inIdx ) ) ;
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vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
0 ,
0 ,
0
) ;
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$ { m }
} else if ( $ { p === 2 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
initializationValue ,
initializationValue
) ;
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vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
0 ,
0
) ;
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$ { m }
} else if ( $ { p === 3 } ) {
vec4 values = vec4 (
getValue ( batch , inIdx ) ,
getValue ( batch , inIdx + 1 ) ,
getValue ( batch , inIdx + 2 ) ,
initializationValue
) ;
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vec4 segFilter = vec4 (
int ( getSegmentIdAtIndex ( inIdx ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 1 ) ) == currentSeg ? 1 : 0 ,
int ( getSegmentIdAtIndex ( inIdx + 2 ) ) == currentSeg ? 1 : 0 ,
0
) ;
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$ { m }
}
setOutput ( $ { l } ) ;
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}
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` }};function Zot(r){let{inputs:t,backend:e,attrs:n}=r,{x:o,segmentIds:s}=t,{numSegments:i}=n,a=o.shape.length,u=[],l=0,c=S.getAxesPermutation([l],a),p=o;c!=null&&(p=Pe({inputs:{x:o},backend:e,attrs:{perm:c}}),u.push(p),l=S.getInnerMostAxes(1,a)[0]);let m=S.segment_util.computeOutShape(p.shape,l,i),f=x.sizeFromShape([p.shape[l]]),d=at({inputs:{x:p},backend:e,attrs:{shape:[-1,f]}});u.push(d);let h=Ku(o.dtype),g=(v,N,E, $ ,D)=>{let L=v.shape[0],M=v.shape[1],G=S.segment_util.segOpComputeOptimalWindowSize(M,D),H={windowSize:G,inSize:M,batchSize:L,numSegments:D},q=new hC(H,N),X=e.compileAndRun(q,[v,E], $ );if(u.push(X),X.shape[1]===D)return X;let j=AT({backend:e,attrs:{start:0,stop:D,step:1,dtype:"float32"}}),J= $ T({inputs:{x:j},backend:e,attrs:{reps:[M/G]}});return u.push(j),u.push(J),g(X,N,J, $ ,D)},y=g(d,"unsortedSegmentSum",s,h,i),b=at({inputs:{x:y},backend:e,attrs:{shape:m}}),w=b;if(c!=null){u.push(b);let v=S.getUndoAxesPermutation(c);w=Pe({inputs:{x:w},backend:e,attrs:{perm:v}})}return u.forEach(v=>e.disposeIntermediateTensorInfo(v)),w}var FB={kernelName:Ml,backendName:"webgl",kernelFunc:Zot};var Jot=[vM,IM,SM,NM,TM,_M,EM,AM,FM,RM,OM,LM,PM,MM,zM,BM,VM,GM,WM,UM,HM,KM,jM,XM,QM,ez,rz,uM,oz,iz,az,lz,uz,cz,pz,mz,fz,dz,hz,yz,bz,wz,vz,Cz,Iz,Sz,Nz,kz,Tz,_z,Ez,Az, $ z,Dz,Fz,Oz,Lz,Pz,Mz,Bz,Vz,Gz,Wz,Uz,Hz,qz,Kz,jz,lM,Xz,sz,Yz,Zz,Jz,cM,Qz,t3,e3,r3,n3,o3,s3,i3,a3,l3,c3,p3,m3,f3,d3,h3,x3,b3,w3,v3,C3,I3,_3,hM,E3,A3, $ 3,D3,YM,F3,L3,P3,M3,z3,pM,B3,V3,ZM,S3,G3,W3,U3,xM,H3,q3,K3,j3,X3,Y3,Z3,J3,Q3,tB,eB,rB,nB,oB,sB,iB,qM,T3,aB,lB,uB,cB,pB,mB,fB,dB,gB,xB,bB,wB,vB,CB,IB,SB,k3,bM,NB,kB,TB,EB,AB,wM, $ B,DB,FB,R3];for(let r of Jot)Vu(r);var Zt;(function(r){r[r.float32=0]="float32",r[r.int32=1]="int32",r[r.bool=2]="bool",r[r.string=3]="string",r[r.complex64=4]="complex64"})(Zt||(Zt={}));var $ u;(function(r){r[r.linear=0]="linear",r[r.relu=1]="relu",r[r.relu6=2]="relu6",r[r.prelu=3]="prelu",r[r.leakyrelu=4]="leakyrelu",r[r.sigmoid=5]="sigmoid",r[r.elu=6]="elu"})( $ u||( $ u={}));var RB;function Qot(r){RB=r.wasm.cwrap(Ni,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function tst(r){let{inputs:t,backend:e,attrs:n}=r,{a:o,b:s,bias:i,preluActivationWeights:a}=t;if(o.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:u,transposeB:l,activation:c,leakyreluAlpha:p}=n,m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=0;if(i!=null){let D=e.dataIdMap.get(i.dataId);if(D.shape.length!==1)throw new Error( ` _FusedMatMul only supports rank - 1 bias but got rank $ { D . shape . length } . ` );d=D.id}let h=a==null?0:e.dataIdMap.get(a.dataId).id,g= $ u[c];if(g==null)throw new Error( ` $ { c } activation not yet supported for FusedConv2D in the wasm backend . ` );let y=u?o.shape[2]:o.shape[1],b=l?s.shape[1]:s.shape[2],w=Pr.assertAndGetBroadcastShape(o.shape.slice(0,-2),s.shape.slice(0,-2)),v=e.makeOutput([...w,y,b],o.dtype),N=e.dataIdMap.get(v.dataId).id,E=new Uint8Array(new Int32Array(o.shape).buffer), $ =new Uint8Array(new Int32Array(s.shape).buffer);return RB(m,E,o.shape.length,f, $ ,s.shape.length,u,l,g,d,h,p||0,N),v}var OB={kernelName:Ni,backendName:"wasm",setupFunc:Qot,kernelFunc:tst};function ae(r,t){let e;function n(s){e=s.wasm.cwrap(r,null,["number","number","number"])}function o(s){let{backend:i,inputs:{x:a}}=s,u=i.dataIdMap.get(a.dataId).id,l=i.makeOutput(a.shape,t||a.dtype),c=i.dataIdMap.get(l.dataId).id;return x.sizeFromShape(l.shape)===0||e(u,Zt[a.dtype],c),l}return{kernelName:r,backendName:"wasm",setupFunc:n,kernelFunc:o}}var LB=ae(ci);function pe(r,t,e){let n;function o(i){n=i.wasm.cwrap(r,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:a,inputs:u}=i,{a:l,b:c}=u,p=a.dataIdMap.get(l.dataId).id,m=a.dataIdMap.get(c.dataId).id,f=e!=null?e:l.dtype,d=S.assertAndGetBroadcastShape(l.shape,c.shape),h=a.makeOutput(d,f);if(x.sizeFromShape(d)===0)return h;let g=new Uint8Array(new Int32Array(l.shape).buffer),y=new Uint8Array(new Int32Array(c.shape).buffer),b=a.dataIdMap.get(h.d
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$ { n . shape } ` );if(o.shape.length!==1)throw new Error( ` Input shape should be a vector but received shape
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$ { o . shape } ` );if(s.shape.length!==1)throw new Error( ` Target shape should be a vector but received shape $ { s . shape } ` );let i=t.dataIdMap.get(n.dataId).id,a=t.dataIdMap.get(o.dataId).id,u=t.dataIdMap.get(s.dataId).id,l=n.shape[0],c=x.sizeFromShape(s.shape),p=t.makeOutput([l,c],n.dtype),m=t.dataIdMap.get(p.dataId).id,f=t.makeOutput([c],s.dtype),d=t.dataIdMap.get(f.dataId).id,h=t.makeOutput([3],"int32"),g=t.dataIdMap.get(h.dataId).id;rW(i,a,u,l,m,d,g);let y=t.readSync(h.dataId),b;switch(y[0]){case 0:{b=S.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(y[1],y[2]);break}case 1:{b=S.getSparseReshapeNegativeOutputDimErrorMessage(y[1],y[2]);break}case 2:b=S.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let w=Array.from(t.readSync(o.dataId)),v=Array.from(t.readSync(f.dataId));b=S.getSparseReshapeInputOutputMultipleErrorMessage(w,v);break}case 4:{let w=Array.from(t.readSync(o.dataId)),v=Array.from(t.readSync(f.dataId));b=S.getSparseReshapeInputOutputMismatchErrorMessage(w,v);break}default:b=""}if(t.disposeData(h.dataId),b)throw t.disposeData(p.dataId),t.disposeData(f.dataId),new Error(b);return[p,f]}var nW={kernelName:za,backendName:"wasm",setupFunc:oat,kernelFunc:sat};var oW;function yC(r){oW=r.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function bC(r,t){let{backend:e,inputs:n}=r,{data:o,indices:s,segmentIds:i}=n,a=s.shape[0],u=e.readSync(i.dataId,a-1,a)[0],c=a>0?u+1:0;if(c<0)throw new Error(S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=o.shape.slice();p[0]=c;let m=e.dataIdMap.get(o.dataId).id,f=e.dataIdMap.get(s.dataId).id,d=e.dataIdMap.get(i.dataId).id,h=e.makeOutput(p,o.dtype),g=e.dataIdMap.get(h.dataId).id,y=e.makeOutput([4],"int32"),b=e.dataIdMap.get(y.dataId).id;oW(m,Zt[o.dtype],o.shape[0],f,d,g,b,t,0);let w=e.readSync(y.dataId),v;switch(w[0]){case 0:{v=S.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{v=S.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:v=S.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(w[1],w[2]);break;case 3:v=S.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(w[1],w[2],w[3]);break;default:v=""}if(e.disposeData(y.dataId),v)throw e.disposeData(h.dataId),new Error(v);return h}function iat(r){return bC(r,!0)}var sW={kernelName:Dl,backendName:"wasm",setupFunc:yC,kernelFunc:iat};function aat(r){return bC(r,!1)}var iW={kernelName:Fl,backendName:"wasm",setupFunc:yC,kernelFunc:aat};function lat(r){let{inputs:t,attrs:e,backend:n}=r,{x:o}=t,{numOrSizeSplits:s,axis:i}=e,a=x.parseAxisParam(i,o.shape)[0],u=S.prepareSplitSize(o,s,a),l=new Array(o.shape.length).fill(0),c=o.shape.slice();return u.map(p=>{let m=[...c];m[a]=p;let f=Oo({inputs:{x:o},attrs:{begin:l,size:m},backend:n});return l[a]+=p,f})}var aW={kernelName:Ci,backendName:"wasm",kernelFunc:lat};var lW=ae(Os);var uW=ae(Rl);var uat=!0,cW=pe(Ms,uat);var pW;function cat(r){pW=r.wasm.cwrap(uo,null,["number","number","number","number"])}function pat(r){let{backend:t,inputs:e,attrs:n}=r,{alpha:o}=n,{x:s}=e,i=t.dataIdMap.get(s.dataId).id,a=t.makeOutput(s.shape,s.dtype),u=t.dataIdMap.get(a.dataId).id;return pW(i,o,Zt[s.dtype],u),a}var mW={kernelName:uo,backendName:"wasm",setupFunc:cat,kernelFunc:pat};var fW;function mat(r){fW=r.wasm.cwrap(Ba,null,["number","array","number","array","array","array","array","array","number","number"])}function fat(r){let{backend:t,inputs:e,attrs:n}=r,{x:o}=e,{begin:s,end:i,strides:a,beginMask:u,endMask:l,ellipsisMask:c,newAxisMask:p,shrinkAxisMask:m}=n,{finalShapeSparse:f,finalShape:d,isIdentity:h,sliceDim0:g,isSimpleSlice:y,begin:b,end:w,strides:v}=Be.sliceInfo(o.shape,s,i,a,u,l,c,p,m),N;if(h)N=lr({inputs:{x:o},backend:t,attrs:{shape:d}});else if(g||y){x.assert(o.shape.length>=1,()=> ` Input must have rank at least 1 , got : $ { o . shape . length } ` );let E=Be.computeOutShape(b,w,v), $ =Oo({inputs:{x:o},backend:t,attrs:{begin:b,size:E}});N=lr({inputs:{x: $ },backend:t,attrs:{shape:d}}),t.disposeData( $ .dataId)}else{let E=t.makeOutput(f,"float32"), $ =
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/ * *
* @ 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 .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2022-07-25 14:23:57 +02:00
/ * *
* @ 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 .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-04-26 20:45:49 +02:00
/ * *
* @ license
* Copyright 2020 Google Inc . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC
*
* Use of this source code is governed by an MIT - style
* license that can be found in the LICENSE file or at
* https : //opensource.org/licenses/MIT.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2020 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the License ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an AS IS BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
/ * *
* @ license
* Copyright 2021 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2021-04-30 18:01:04 +02:00
/ * *
* @ license
* Copyright 2021 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* https : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
2022-01-14 16:04:13 +01:00
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2022-05-09 14:12:24 +02:00
/ * *
* @ license
* Copyright 2022 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 2022 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.
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2022-01-14 16:04:13 +01:00
/ * *
* @ license
* Copyright 2022 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the "License" ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an "AS IS" BASIS ,
2021-04-30 18:01:04 +02:00
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
2022-04-01 15:16:17 +02:00
/ * *
* @ license
* Copyright 2022 Google LLC . All Rights Reserved .
* Licensed under the Apache License , Version 2.0 ( the 'License' ) ;
* you may not use this file except in compliance with the License .
* You may obtain a copy of the License at
*
* http : //www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing , software
* distributed under the License is distributed on an 'AS IS' BASIS ,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND , either express or implied .
* See the License for the specific language governing permissions and
* limitations under the License .
* === === === === === === === === === === === === === === === === === === === === === === === === === ==
* /
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/** @license See the LICENSE file. */
