face-api/dist/face-api.esm.js

4883 lines
1.2 MiB
JavaScript
Raw Normal View History

2021-09-08 19:51:28 +02:00
/*
Face-API
homepage: <https://github.com/vladmandic/face-api>
author: <https://github.com/vladmandic>'
2021-09-08 19:51:28 +02:00
*/
2022-12-01 20:56:40 +01:00
var iF=Object.defineProperty;var jr=(e=>typeof require!="undefined"?require:typeof Proxy!="undefined"?new Proxy(e,{get:(t,n)=>(typeof require!="undefined"?require:t)[n]}):e)(function(e){if(typeof require!="undefined")return require.apply(this,arguments);throw new Error('Dynamic require of "'+e+'" is not supported')});var ib=(e,t)=>{for(var n in t)iF(e,n,{get:t[n],enumerable:!0})};var Oe={};ib(Oe,{Abs:()=>Sl,Acos:()=>Tl,Acosh:()=>Nl,AdadeltaOptimizer:()=>lf,AdagradOptimizer:()=>uf,AdamOptimizer:()=>pf,AdamaxOptimizer:()=>cf,Add:()=>fs,AddN:()=>bi,All:()=>Cl,Any:()=>El,ArgMax:()=>xi,ArgMin:()=>ic,Asin:()=>_l,Asinh:()=>Al,Atan:()=>$l,Atan2:()=>Dl,Atanh:()=>Fl,AvgPool:()=>vi,AvgPool3D:()=>oc,AvgPool3DGrad:()=>Zh,AvgPoolGrad:()=>Yh,BackendWasm:()=>TA,BatchMatMul:()=>wi,BatchToSpaceND:()=>Rl,Bincount:()=>Jh,BroadcastArgs:()=>Qh,BroadcastTo:()=>OI,Callback:()=>t2,CallbackList:()=>sN,Cast:()=>ki,Ceil:()=>Ii,ClipByValue:()=>gs,Complex:()=>em,ComplexAbs:()=>lc,Concat:()=>Ml,Conv2D:()=>Si,Conv2DBackpropFilter:()=>tm,Conv2DBackpropInput:()=>Ti,Conv3D:()=>uc,Conv3DBackpropFilterV2:()=>nm,Conv3DBackpropInputV2:()=>am,Cos:()=>Ni,Cosh:()=>Ci,CropAndResize:()=>Ol,Cumprod:()=>Pl,Cumsum:()=>Ei,CustomCallback:()=>oN,DataStorage:()=>qh,DenseBincount:()=>rm,DepthToSpace:()=>Ll,DepthwiseConv2dNative:()=>_i,DepthwiseConv2dNativeBackpropFilter:()=>sm,DepthwiseConv2dNativeBackpropInput:()=>im,Diag:()=>om,Dilation2D:()=>pc,Dilation2DBackpropFilter:()=>yh,Dilation2DBackpropInput:()=>gh,ENV:()=>Nx,EarlyStopping:()=>n2,Einsum:()=>lm,Elu:()=>$i,EluGrad:()=>um,Environment:()=>MI,Equal:()=>Wl,Erf:()=>zl,Exp:()=>Fi,ExpandDims:()=>Bl,Expm1:()=>Vl,FFT:()=>pm,Fill:()=>cc,FlipLeftRight:()=>Ul,Floor:()=>Di,FloorDiv:()=>Ri,FromPixels:()=>bh,FusedBatchNorm:()=>Mi,FusedConv2D:()=>ni,FusedDepthwiseConv2D:()=>ai,GPGPUContext:()=>ch,GatherNd:()=>Hl,GatherV2:()=>Gl,GraphModel:()=>T0,Greater:()=>jl,GreaterEqual:()=>Pi,History:()=>iN,IFFT:()=>cm,Identity:()=>Oi,Imag:()=>dm,InputSpec:()=>zt,IsFinite:()=>ql,IsInf:()=>Kl,IsNan:()=>Li,KernelBackend:()=>sc,LRN:()=>dc,LRNGrad:()=>mm,LayerVariable:()=>JT,LayersModel:()=>Er,LeakyRelu:()=>zi,Less:()=>Xl,LessEqual:()=>Yl,LinSpace:()=>hm,Log:()=>Wi,Log1p:()=>Zl,LogSoftmax:()=>zI,LogicalAnd:()=>Jl,LogicalNot:()=>Ql,LogicalOr:()=>eu,LogicalXor:()=>LI,LowerBound:()=>YF,MathBackendWebGL:()=>Mf,Max:()=>Bi,MaxPool:()=>Ui,MaxPool3D:()=>hc,MaxPool3DGrad:()=>gm,MaxPoolGrad:()=>fm,MaxPoolWithArgmax:()=>ym,Maximum:()=>Vi,Mean:()=>Gi,Min:()=>Hi,Minimum:()=>ji,MirrorPad:()=>qi,Mod:()=>tu,MomentumOptimizer:()=>df,Multinomial:()=>bm,Multiply:()=>Ki,Neg:()=>nu,NonMaxSuppressionV3:()=>ru,NonMaxSuppressionV4:()=>su,NonMaxSuppressionV5:()=>iu,NotEqual:()=>au,OP_SCOPE_SUFFIX:()=>Ax,OneHot:()=>Xi,OnesLike:()=>ou,Optimizer:()=>Dr,OptimizerConstructors:()=>qr,Pack:()=>lu,PadV2:()=>Yi,Pool:()=>ZF,Pow:()=>Zi,Prelu:()=>Ji,Prod:()=>Qi,RMSPropOptimizer:()=>hf,RNN:()=>mr,RaggedGather:()=>xm,RaggedRange:()=>vm,RaggedTensorToTensor:()=>wm,Range:()=>mc,Rank:()=>Nb,Real:()=>km,RealDiv:()=>Ai,Reciprocal:()=>eo,Reduction:()=>vn,Relu:()=>to,Relu6:()=>ro,Reshape:()=>uu,ResizeBilinear:()=>ao,ResizeBilinearGrad:()=>Sm,ResizeNearestNeighbor:()=>no,ResizeNearestNeighborGrad:()=>Im,Reverse:()=>so,RotateWithOffset:()=>Tu,Round:()=>io,Rsqrt:()=>oo,SGDOptimizer:()=>Vc,ScatterNd:()=>pu,SearchSorted:()=>Tm,Select:()=>cu,Selu:()=>du,Sequential:()=>gl,Sigmoid:()=>uo,Sign:()=>fu,Sin:()=>lo,Sinh:()=>mu,Slice:()=>hu,Softmax:()=>ho,Softplus:()=>gu,SpaceToBatchND:()=>yu,SparseFillEmptyRows:()=>fc,SparseReshape:()=>xu,SparseSegmentMean:()=>gc,SparseSegmentSum:()=>yc,SparseToDense:()=>Nm,SplitV:()=>bu,Sqrt:()=>po,Square:()=>bc,SquaredDifference:()=>mo,Step:()=>bs,StridedSlice:()=>vu,StringNGrams:()=>xc,StringSplit:()=>vc,StringToHashBucketFast:()=>wc,Sub:()=>fo,Sum:()=>co,SymbolicTensor:()=>Va,Tan:()=>go,Tanh:()=>yo,Tensor:()=>Te,TensorBuffer:()=>qt,Tile:()=>ys,TopK:()=>wu,Transform:()=>ku,Transpose:()=>Cr,Unique:()=>Cm,Unpack:()=>Iu,UnsortedSegmentSum:()=>kc,UpperBound:()=>JF,Variable:()=>ss,ZerosLike:()=>Su,_FusedMatMul:()=>ti,abs:()=>Lt,acos:()=>Gx,acosh:()=>Hx,add:()=>Y,addN:()=
2022-10-18 13:23:49 +02:00
`),K=D=>U.writeSync(2,D+`
2022-12-01 20:56:40 +01:00
`));var Z=c.print||q,J=c.printErr||K;Object.assign(c,g),g=null,c.arguments&&(y=c.arguments),c.thisProgram&&(b=c.thisProgram),c.quit&&(x=c.quit);var ee=4,ae=Atomics.load,te=Atomics.store,ie=Atomics.compareExchange,oe;c.wasmBinary&&(oe=c.wasmBinary);var ye=c.noExitRuntime||!0;typeof WebAssembly!="object"&&Uo("no native wasm support detected");var ue,be,ke=!1,Se;function Le(D,j){D||Uo(j)}var Ue=typeof TextDecoder!="undefined"?new TextDecoder("utf8"):void 0;function nt(D,j,re){for(var de=j+re,Ie=j;D[Ie]&&!(Ie>=de);)++Ie;if(Ie-j>16&&D.buffer&&Ue)return Ue.decode(D.buffer instanceof SharedArrayBuffer?D.slice(j,Ie):D.subarray(j,Ie));for(var je="";j<Ie;){var Ce=D[j++];if(!(Ce&128)){je+=String.fromCharCode(Ce);continue}var De=D[j++]&63;if((Ce&224)==192){je+=String.fromCharCode((Ce&31)<<6|De);continue}var Ot=D[j++]&63;if((Ce&240)==224?Ce=(Ce&15)<<12|De<<6|Ot:Ce=(Ce&7)<<18|De<<12|Ot<<6|D[j++]&63,Ce<65536)je+=String.fromCharCode(Ce);else{var la=Ce-65536;je+=String.fromCharCode(55296|la>>10,56320|la&1023)}}return je}function st(D,j){return D?nt(i(),D,j):""}function Qe(D,j,re,de){if(!(de>0))return 0;for(var Ie=re,je=re+de-1,Ce=0;Ce<D.length;++Ce){var De=D.charCodeAt(Ce);if(De>=55296&&De<=57343){var Ot=D.charCodeAt(++Ce);De=65536+((De&1023)<<10)|Ot&1023}if(De<=127){if(re>=je)break;j[re++]=De}else if(De<=2047){if(re+1>=je)break;j[re++]=192|De>>6,j[re++]=128|De&63}else if(De<=65535){if(re+2>=je)break;j[re++]=224|De>>12,j[re++]=128|De>>6&63,j[re++]=128|De&63}else{if(re+3>=je)break;j[re++]=240|De>>18,j[re++]=128|De>>12&63,j[re++]=128|De>>6&63,j[re++]=128|De&63}}return j[re]=0,re-Ie}function at(D,j,re){return Qe(D,i(),j,re)}var ze,dt,Hn,Mt,sa,on,Fn,ia,Dn;C&&(ze=c.buffer);function it(D){ze=D,c.HEAP8=dt=new Int8Array(D),c.HEAP16=Mt=new Int16Array(D),c.HEAP32=on=new Int32Array(D),c.HEAPU8=Hn=new Uint8Array(D),c.HEAPU16=sa=new Uint16Array(D),c.HEAPU32=Fn=new Uint32Array(D),c.HEAPF32=ia=new Float32Array(D),c.HEAPF64=Dn=new Float64Array(D)}var Rn=c.INITIAL_MEMORY||16777216;if(C)ue=c.wasmMemory,ze=c.buffer;else if(c.wasmMemory)ue=c.wasmMemory;else if(ue=new WebAssembly.Memory({initial:Rn/65536,maximum:32768,shared:!0}),!(ue.buffer instanceof SharedArrayBuffer))throw J("requested a shared WebAssembly.Memory but the returned buffer is not a SharedArrayBuffer, indicating that while the browser has SharedArrayBuffer it does not have WebAssembly threads support - you may need to set a flag"),T&&console.log("(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)"),Error("bad memory");ue&&(ze=ue.buffer),Rn=ze.byteLength,it(ze);var jn,br=[],Wo=[],Qa=[],fp=!1;function ka(){return ye}function Bo(){if(c.preRun)for(typeof c.preRun=="function"&&(c.preRun=[c.preRun]);c.preRun.length;)xg(c.preRun.shift());xp(br)}function Zt(){fp=!0,!C&&xp(Wo)}function xd(){if(!C){if(c.postRun)for(typeof c.postRun=="function"&&(c.postRun=[c.postRun]);c.postRun.length;)N1(c.postRun.shift());xp(Qa)}}function xg(D){br.unshift(D)}function vg(D){Wo.unshift(D)}function N1(D){Qa.unshift(D)}var Ur=0,Vo=null,xr=null;function C1(D){Ur++,c.monitorRunDependencies&&c.monitorRunDependencies(Ur)}function E1(D){if(Ur--,c.monitorRunDependencies&&c.monitorRunDependencies(Ur),Ur==0&&(Vo!==null&&(clearInterval(Vo),Vo=null),xr)){var j=xr;xr=null,j()}}function Uo(D){C?postMessage({cmd:"onAbort",arg:D}):c.onAbort&&c.onAbort(D),D="Aborted("+D+")",J(D),ke=!0,Se=1,D+=". Build with -sASSERTIONS for more info.";var j=new WebAssembly.RuntimeError(D);throw m(j),j}var wg="data:application/octet-stream;base64,";function vd(D){return D.startsWith(wg)}function gp(D){return D.startsWith("file://")}var bn;bn="tfjs-backend-wasm-threaded-simd.wasm",vd(bn)||(bn=$(bn));function wd(D){try{if(D==bn&&oe)return new Uint8Array(oe);if(S)return S(D);throw"both async and sync fetching of the wasm failed"}catch(j){Uo(j)}}function kg(){if(!oe&&(w||I)){if(typeof fetch=="function"&&!gp(bn))return fetch(bn,{credentials:"same-origin"}).then(function(D){if(!D.ok)throw"failed to load wasm binary file at '"+bn+"'";return D.arrayBuffer()}).catch(function(){return wd(bn)});if(F)
");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}WasmBackendModuleThreadedSimd(Module).then(function(instance){Module=instance})}else if(e.data.cmd==="run"){Module["__performance_now_clock_drift"]=performance.now()-e.data.time;Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};`}),_F=Bt((e,t)=>{var n=(()=>{var a=typeof document!="undefined"&&document.currentScript?document.currentScript.src:void 0;return typeof __filename!="undefined"&&(a=a||__filename),function(r){r=r||{};var s=typeof r!="undefined"?r:{},i,o;s.ready=new Promise(function(X,se){i=X,o=se});var l;typeof process!="undefined"&&process.listeners&&(l={uncaughtException:process.listeners("uncaughtException"),unhandledRejection:process.listeners("unhandledRejection")});var u=Object.assign({},s),p=[],d="./this.program",c=(X,se)=>{throw se},h=typeof window=="object",m=typeof importScripts=="function",f=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string",g="";function y(X){return s.locateFile?s.locateFile(X,g):g+X}var b,x,w,I;function T(X){X instanceof Vo||R("exiting due to exception: "+X)}if(f){m?g=hh().dirname(g)+"/":g=__dirname+"/";var C,_;typeof II=="function"&&(C=Ix(),_=hh()),b=(X,se)=>(X=_.normalize(X),C.readFileSync(X,se?void 0:"utf8")),w=X=>{var se=b(X,!0);return se.buffer||(se=new Uint8Array(se)),se},x=(X,se,we)=>{X=_.normalize(X),C.readFile(X,function(He,wt){He?we(He):se(wt.buffer)})},process.argv.length>1&&(d=process.argv[1].replace(/\\/g,"/")),p=process.argv.slice(2),process.on("uncaughtException",function(X){if(!(X instanceof Vo))throw X}),process.on("unhandledRejection",function(X){throw X}),c=(X,se)=>{if(Hn())throw process.exitCode=X,se;T(se),process.exit(X)},s.inspect=function(){return"[Emscripten Module object]"}}else(h||m)&&(m?g=self.location.href:typeof document!="undefined"&&document.currentScript&&(g=document.currentScript.src),a&&(g=a),g.indexOf("blob:")!==0?g=g.substr(0,g.replace(/[?#].*/,"").lastIndexOf("/")+1):g="",b=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.send(null),se.responseText},m&&(w=X=>{var se=new XMLHttpRequest;return se.open("GET",X,!1),se.responseType="arraybuffer",se.send(null),new Uint8Array(se.response)}),x=(X,se,we)=>{var He=new XMLHttpRequest;He.open("GET",X
2022-10-18 13:23:49 +02:00
`)),l.join(`
2022-12-01 20:56:40 +01:00
`)}function yD(e,t,n,a){let r=mt(t),s=a[a.length-1],i=new Array(s).fill(0),o=t.length,l=n==="complex64"?Ap(e):e;if(o>1)for(let u=0;u<r/s;u++){let p=u*s;for(let d=0;d<s;d++)i[d]=Math.max(i[d],_p(l[p+d],0,n).length)}return i}function _p(e,t,n){let a;return Array.isArray(e)?a=`${parseFloat(e[0].toFixed(lb))} + ${parseFloat(e[1].toFixed(lb))}j`:Zr(e)?a=`'${e}'`:n==="bool"?a=UI(e):a=parseFloat(e.toFixed(lb)).toString(),zp(a,t)}function UI(e){return e===0?"false":"true"}function rh(e,t,n,a,r,s=!0){let i=n==="complex64"?2:1,o=t[0],l=t.length;if(l===0){if(n==="complex64"){let f=Ap(e);return[_p(f[0],0,n)]}return n==="bool"?[UI(e[0])]:[e[0].toString()]}if(l===1){if(o>j1){let f=Sp*i,g=Array.from(e.slice(0,f)),y=Array.from(e.slice((o-Sp)*i,o*i));return n==="complex64"&&(g=Ap(g),y=Ap(y)),["["+g.map((b,x)=>_p(b,r[x],n)).join(", ")+", ..., "+y.map((b,x)=>_p(b,r[o-Sp+x],n)).join(", ")+"]"]}return["["+(n==="complex64"?Ap(e):Array.from(e)).map((f,g)=>_p(f,r[g],n)).join(", ")+"]"]}let u=t.slice(1),p=a.slice(1),d=a[0]*i,c=[];if(o>j1){for(let f=0;f<Sp;f++){let g=f*d,y=g+d;c.push(...rh(e.slice(g,y),u,n,p,r,!1))}c.push("...");for(let f=o-Sp;f<o;f++){let g=f*d,y=g+d;c.push(...rh(e.slice(g,y),u,n,p,r,f===o-1))}}else for(let f=0;f<o;f++){let g=f*d,y=g+d;c.push(...rh(e.slice(g,y),u,n,p,r,f===o-1))}let h=l===2?",":"";c[0]="["+c[0]+h;for(let f=1;f<c.length-1;f++)c[f]=" "+c[f]+h;let m=`,
2022-10-18 13:23:49 +02:00
`;for(let f=2;f<l;f++)m+=`
2022-12-01 20:56:40 +01:00
`;return c[c.length-1]=" "+c[c.length-1]+"]"+(s?"":m),c}function Ap(e){let t=[];for(let n=0;n<e.length;n+=2)t.push([e[n],e[n+1]]);return t}var qt=class{constructor(e,t,n){if(this.dtype=t,this.shape=e.slice(),this.size=mt(e),n!=null){let a=n.length;A(a===this.size,()=>`Length of values '${a}' does not match the size inferred by the shape '${this.size}'.`)}if(t==="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||EI(t,this.size),this.strides=Il(e)}set(e,...t){t.length===0&&(t=[0]),A(t.length===this.rank,()=>`The number of provided coordinates (${t.length}) must match the rank (${this.rank})`);let n=this.locToIndex(t);this.values[n]=e}get(...e){e.length===0&&(e=[0]);let t=0;for(let a of e){if(a<0||a>=this.shape[t]){let r=`Requested out of range element at ${e}. Buffer shape=${this.shape}`;throw new Error(r)}t++}let n=e[e.length-1];for(let a=0;a<e.length-1;++a)n+=this.strides[a]*e[a];return this.values[n]}locToIndex(e){if(this.rank===0)return 0;if(this.rank===1)return e[0];let t=e[e.length-1];for(let n=0;n<e.length-1;++n)t+=this.strides[n]*e[n];return t}indexToLoc(e){if(this.rank===0)return[];if(this.rank===1)return[e];let t=new Array(this.shape.length);for(let n=0;n<t.length-1;++n)t[n]=Math.floor(e/this.strides[n]),e-=t[n]*this.strides[n];return t[t.length-1]=e,t}get rank(){return this.shape.length}toTensor(){return Wa().makeTensor(this.values,this.shape,this.dtype)}},Wa=null,Jo=null,bD=null;function xD(e){Wa=e}function vD(e){Jo=e}function wD(e){bD=e}var Te=class{constructor(e,t,n,a){this.kept=!1,this.isDisposedInternal=!1,this.shape=e.slice(),this.dtype=t||"float32",this.size=mt(e),this.strides=Il(e),this.dataId=n,this.id=a,this.rankType=this.rank<5?this.rank.toString():"higher"}get rank(){return this.shape.length}async buffer(){let e=await this.data();return Jo.buffer(this.shape,this.dtype,e)}bufferSync(){return Jo.buffer(this.shape,this.dtype,this.dataSync())}async array(){let e=await this.data();return tl(this.shape,e,this.dtype==="complex64")}arraySync(){return tl(this.shape,this.dataSync(),this.dtype==="complex64")}async data(){this.throwIfDisposed();let e=Wa().read(this.dataId);if(this.dtype==="string"){let t=await e;try{return t.map(n=>wh(n))}catch(n){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}}return e}dataToGPU(e){return this.throwIfDisposed(),Wa().readToGPU(this.dataId,e)}dataSync(){this.throwIfDisposed();let e=Wa().readSync(this.dataId);if(this.dtype==="string")try{return e.map(t=>wh(t))}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return e}async bytes(){this.throwIfDisposed();let e=await Wa().read(this.dataId);return this.dtype==="string"?e:new Uint8Array(e.buffer)}dispose(){this.isDisposed||(Wa().disposeTensor(this),this.isDisposedInternal=!0)}get isDisposed(){return this.isDisposedInternal}throwIfDisposed(){if(this.isDisposed)throw new Error("Tensor is disposed.")}print(e=!1){return Jo.print(this,e)}clone(){return this.throwIfDisposed(),Jo.clone(this)}toString(e=!1){let t=this.dataSync();return gD(t,this.shape,this.dtype,e)}cast(e){return this.throwIfDisposed(),Jo.cast(this,e)}variable(e=!0,t,n){return this.throwIfDisposed(),Wa().makeVariable(this,e,t,n)}};Object.defineProperty(Te,Symbol.hasInstance,{value:e=>!!e&&e.data!=null&&e.dataSync!=null&&e.throwIfDisposed!=null});function Q(){return Cx("Tensor",()=>Te)}Q();var ss=class extends Te{constructor(e,t,n,a){super(e.shape,e.dtype,e.dataId,a),this.trainable=t,this.name=n}assign(e){if(e.dtype!==this.dtype)throw new Error(`dtype of the new value (${e.dtype}) and previous value (${this.dtype}) must match`);if(!ms(e.shape,this.shape))throw new Error(`shape of the new value (${e.shape}) and previous value (${this.shape}) must match`);Wa().disposeTensor(this),this.dataId=e.dataId,Wa().incRef(this,null)}dispose(){Wa().disposeVariable(this),this.isDisposedInternal=!0}};Obje
Manifest JSON has weights with names: ${o.join(", ")}.`)}let l=r.reduce((h,m,f)=>(m&&h.push(f),h),[]),u=[];l.forEach(h=>{t[h].paths.forEach(m=>{let f=n+(n.endsWith("/")?"":"/")+m;u.push(f)})});let p=await e(u),d={},c=0;return l.forEach(h=>{let m=t[h].paths.length,f=0;for(let x=0;x<m;x++)f+=p[c+x].byteLength;let g=new ArrayBuffer(f),y=new Uint8Array(g),b=0;for(let x=0;x<m;x++){let w=new Uint8Array(p[c+x]);y.set(w,b),b+=w.byteLength}s[h].forEach(x=>{let w=g.slice(x.groupOffset,x.groupOffset+x.sizeBytes),I=XI(w,[x.manifestEntry]);for(let T in I)d[T]=I[T]}),c+=m}),d}}var bR="application/octet-stream",xR="application/json",Mx=class{constructor(e,t){if(this.DEFAULT_METHOD="POST",t==null&&(t={}),this.weightPathPrefix=t.weightPathPrefix,this.onProgress=t.onProgress,this.weightUrlConverter=t.weightUrlConverter,t.fetchFunc!=null?(A(typeof t.fetchFunc=="function",()=>"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"),this.fetch=t.fetchFunc):this.fetch=H().platform.fetch,A(e!=null&&e.length>0,()=>"URL path for http must not be null, undefined or empty."),Array.isArray(e)&&A(e.length===2,()=>`URL paths for http must have a length of 2, (actual length is ${e.length}).`),this.path=e,t.requestInit!=null&&t.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=t.requestInit||{}}async save(e){if(e.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");let t=Object.assign({method:this.DEFAULT_METHOD},this.requestInit);t.body=new FormData;let n=[{paths:["./model.weights.bin"],weights:e.weightSpecs}],a=YI(e,n);t.body.append("model.json",new Blob([JSON.stringify(a)],{type:xR}),"model.json"),e.weightData!=null&&t.body.append("model.weights.bin",new Blob([e.weightData],{type:bR}),"model.weights.bin");let r=await this.fetch(this.path,t);if(r.ok)return{modelArtifactsInfo:Cc(e),responses:[r]};throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${r.status}.`)}async load(){let e=await this.fetch(this.path,this.requestInit);if(!e.ok)throw new Error(`Request to ${this.path} failed with status code ${e.status}. Please verify this URL points to the model JSON of the model to load.`);let t;try{t=await e.json()}catch(r){let s=`Failed to parse model JSON of response from ${this.path}.`;throw this.path.endsWith(".pb")?s+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":s+=" Please make sure the server is serving valid JSON for this request.",new Error(s)}let n=t.modelTopology,a=t.weightsManifest;if(n==null&&a==null)throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);return Dx(t,r=>this.loadWeights(r))}async loadWeights(e){let t=Array.isArray(this.path)?this.path[1]:this.path,[n,a]=vR(t),r=this.weightPathPrefix||n,s=JI(e),i=[],o=[];for(let u of e)for(let p of u.paths)this.weightUrlConverter!=null?o.push(this.weightUrlConverter(p)):i.push(r+p+a);this.weightUrlConverter&&i.push(...await Promise.all(o));let l=await iS(i,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress});return[s,Fx(l)]}};Mx.URL_SCHEME_REGEX=/^https?:\/\//;function vR(e){let t=e.lastIndexOf("/"),n=e.lastIndexOf("?"),a=e.substring(0,t),r=n>t?e.substring(n):"";return[a+"/",r]}function Pb(e){return e.match(Mx.URL_SCHEME_REGEX)!=null}var lS=(e,t)=>{if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;{let n=!0;if(Array.isArray(e)?n=e.every(a=>Pb(a)):n=Pb(e),n)return Px(e,t)}return null};At.registerSaveRouter(lS);At.registerLoadRouter(lS);function Px(e,t){return new Mx(e,t)}function wR(e,t){return Px(e,t)}var cb=class{constructor(e){this.modelArtifacts=e}
2022-10-18 13:23:49 +02:00
Actual: ${r}.
Expected: ${s}.`);for(let i=0;i<s.length;++i){let o=r[i],l=s[i];if(!n(o,l))throw new Error(`Arrays differ: actual[${i}] = ${o}, expected[${i}] = ${l}.
Actual: ${r}.
2022-12-01 20:56:40 +01:00
Expected: ${s}.`)}typeof expect!="undefined"&&expect().nothing()}function cM(e,t){e().then(()=>t.fail(),()=>t()),typeof expect!="undefined"&&expect().nothing()}function dM(e,t){let n=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Zr(e)||Zr(e[0])||Zr(t)||Zr(t[0])?Lb(e,n,(a,r)=>a==r):Lb(e,t,(a,r)=>Ux(a,r,0))}function hM(e,t,n){if(n==null&&(n=Vx()),!Ux(e,t,n))throw new Error(`Numbers differ: actual === ${e}, expected === ${t}`);typeof expect!="undefined"&&expect().nothing()}function Ux(e,t,n){return!isFinite(e)&&!isFinite(t)?!0:!(isNaN(e)||isNaN(t)||Math.abs(e-t)>n)}function mM(e,t,n){for(let a=0;a<e.length;a++)if(e[a]<t||e[a]>n)throw new Error(`Value out of range:${e[a]} low: ${t}, high: ${n}`)}function fM(e,t){let n=new Float32Array(e),a=new Float32Array(t);if(n.length!==a.length)throw new Error(`Expected ArrayBuffer to be of length ${a.length}, but it was ${n.length}`);for(let r=0;r<a.length;r++)if(n[r]!==a[r])throw new Error(`Expected ArrayBuffer value at ${r} to be ${a[r]} but got ${n[r]} instead`)}function _S(e){for(let t=0;t<e.length;t++){let n=e[t];Array.isArray(n)?_S(n):e[t]=Tc(n)}return e}function gM(e){let t=document.createElement("video");return"playsInline"in t&&(t.playsInline=!0),t.muted=!0,t.loop=!0,t.style.position="fixed",t.style.left="0px",t.style.top="0px",t.preload="auto",t.appendChild(e),new Promise(n=>{t.addEventListener("loadeddata",a=>n(t)),t.load()})}async function yM(e){await e.play(),"requestVideoFrameCallback"in e&&await new Promise(t=>{e.requestVideoFrameCallback(t)})}var bM="4.1.0";function xM(e,t){let n=E(e,"a","add"),a=E(t,"b","add");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(fs,r)}var Y=L({add_:xM});function vM(e,t){let n=E(e,"a","floorDiv"),a=E(t,"b","floorDiv");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Ri,r)}var $m=L({floorDiv_:vM});function wM(e,t){let n=E(e,"a","div"),a=E(t,"b","div");if([n,a]=Et(n,a),n.dtype==="int32"&&a.dtype==="int32")return $m(n,a);let r={a:n,b:a},s={};return O.runKernel(Ai,r,s)}var me=L({div_:wM});function kM(e,t){let n=E(e,"a","mul"),a=E(t,"b","mul");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Ki,r)}var z=L({mul_:kM});function IM(e){let t=E(e,"x","abs");if(t.dtype==="complex64"){let n={x:t};return O.runKernel(lc,n)}else{let n={x:t};return O.runKernel(Sl,n)}}var Lt=L({abs_:IM});function SM(e){let t={x:E(e,"x","acos")};return O.runKernel(Tl,t)}var Gx=L({acos_:SM});function TM(e){let t={x:E(e,"x","acosh")};return O.runKernel(Nl,t)}var Hx=L({acosh_:TM});function NM(e){A(Array.isArray(e),()=>"The argument passed to tf.addN() must be a list of tensors"),A(e.length>=1,()=>`Must pass at least one tensor to tf.addN(), but got ${e.length}`);let t=e.map((r,s)=>E(r,`tensors${s}`,"addN")),n=t[0];t.forEach(r=>{if(r.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(r=>{if(!ms(r.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});let a=t;return O.runKernel(bi,a)}var AS=L({addN_:NM});function CM(e,t=null,n=!1){let a={x:E(e,"x","all","bool")},r={axis:t,keepDims:n};return O.runKernel(Cl,a,r)}var Fm=L({all_:CM});function EM(e,t=null,n=!1){let a={x:E(e,"x","any","bool")},r={axis:t,keepDims:n};return O.runKernel(El,a,r)}var Kp=L({any_:EM});function _M(e,t=0){let n={x:E(e,"x","argMax")},a={axis:t};return O.runKernel(xi,n,a)}var ii=L({argMax_:_M});function AM(e,t=0){let n={x:E(e,"x","argMin")},a={axis:t};return O.runKernel(ic,n,a)}var jx=L({argMin_:AM});function $M(e){let t={x:E(e,"x","asin")};return O.runKernel(_l,t)}var qx=L({asin_:$M});function FM(e){let t={x:E(e,"x","asinh")};return O.runKernel(Al,t)}var Kx=L({asinh_:FM});function DM(e){let t={x:E(e,"x","atan")};return O.runKernel($l,t)}var Xx=L({atan_:DM});function RM(e,t){let n=E(e,"a","atan2"),a=E(t,"b","atan2");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(Dl,r)}var Yx=L({atan2_:RM});function MM(e){let t={x:E(e,"x","atanh")};return O.runKernel(Fl,t)}var Zx=L({atanh_:MM});function PM(e,t,n,a,r="NHWC",s){let i=e[3],o=[...t,i],l=DS(r);return Ac(e,o,n,s,a,null,null,l)}function $S(e,t,n,a,r,s,i=
with dtype ${s.dtype}. `)}),n.length===1)return sr(n[0]);let a=n,r={axis:t};return O.runKernel(Ml,a,r)}var Ze=L({concat_:HM});function jM(e){let t={x:E(e,"x","sigmoid","float32")};return O.runKernel(uo,t)}var da=L({sigmoid_:jM});function qM(e,t,n){let a=E(e,"x","slice","string_or_numeric");if(a.rank===0)throw new Error("Slicing scalar is not possible");let r={x:a},s={begin:t,size:n};return O.runKernel(hu,r,s)}var Be=L({slice_:qM});function KM(e){let t={x:E(e,"x","tanh","float32")};return O.runKernel(yo,t)}var oi=L({tanh_:KM});function XM(e,t,n,a,r,s){let i=E(e,"forgetBias","basicLSTMCell"),o=E(t,"lstmKernel","basicLSTMCell"),l=E(n,"lstmBias","basicLSTMCell"),u=E(a,"data","basicLSTMCell"),p=E(r,"c","basicLSTMCell"),d=E(s,"h","basicLSTMCell"),c=Ze([u,d],1),h=Fe(c,o),m=Y(h,l),f=m.shape[0],g=m.shape[1]/4,y=[f,g],b=Be(m,[0,0],y),x=Be(m,[0,g],y),w=Be(m,[0,g*2],y),I=Be(m,[0,g*3],y),T=Y(z(da(b),oi(x)),z(p,da(Y(i,w)))),C=z(oi(T),da(I));return[T,C]}var RS=L({basicLSTMCell_:XM});function YM(e,t,n){let a=E(e,"x","batchToSpaceND"),r=t.reduce((o,l)=>o*l);A(a.rank>=1+t.length,()=>`input rank is ${a.rank} but should be > than blockShape.length ${t.length}`),A(n.length===t.length,()=>`crops.length is ${n.length} but should be equal to blockShape.length ${t.length}`),A(a.shape[0]%r===0,()=>`input tensor batch is ${a.shape[0]} but is not divisible by the product of the elements of blockShape ${t.join(" * ")} === ${r}`);let s={x:a},i={blockShape:t,crops:n};return O.runKernel(Rl,s,i)}var $c=L({batchToSpaceND_:YM});function ZM(e){let t;return e.rank===0||e.rank===1?t=W(e,[1,1,1,e.size]):e.rank===2?t=W(e,[1,1,e.shape[0],e.shape[1]]):e.rank===3?t=W(e,[1,e.shape[0],e.shape[1],e.shape[2]]):t=e,t}function JM(e,t,n,a,r,s){s==null&&(s=.001);let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(n,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;a!=null&&(p=E(a,"offset","batchNorm")),A(o.rank===l.rank,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),A(p==null||o.rank===p.rank,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),A(u==null||o.rank===u.rank,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let d={x:ZM(i),scale:u,offset:p,mean:o,variance:l},c={varianceEpsilon:s},h=O.runKernel(Mi,d,c);return W(h,i.shape)}var ws=L({batchNorm_:JM});function QM(e,t,n,a,r,s){let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(n,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;return a!=null&&(p=E(a,"offset","batchNorm")),A(i.rank===2,()=>`Error in batchNorm2D: x must be rank 2 but got rank ${i.rank}.`),A(o.rank===2||o.rank===1,()=>`Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank ${o.rank}.`),A(l.rank===2||l.rank===1,()=>`Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank ${l.rank}.`),u!=null&&A(u.rank===2||u.rank===1,()=>`Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank ${u.rank}.`),p!=null&&A(p.rank===2||p.rank===1,()=>`Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank ${p.rank}.`),ws(i,o,l,p,u,s)}var ev=L({batchNorm2d_:QM});function eP(e,t,n,a,r,s){let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(n,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm"));let p;return a!=null&&(p=E(a,"offset","batchNorm")),A(i.rank===3,()=>`Error in batchNorm3D: x must be rank 3 but got rank ${i.rank}.`),A(o.rank===3||o.rank===1,()=>`Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank ${o.rank}.`),A(l.rank===3||l.rank===1,()=>`Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank ${l.rank}.`),u!=null&&A(u.rank===3||u.rank===1,()=>`Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank ${u.rank}.`),p!=null&&A(p.rank===3||p.rank===1,()=>`Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank ${p.rank}.`),ws(i,o,l,p,u,s)}var tv=L({batchNorm3d_:eP});function tP(e,t,n,a,r,s){let i=E(e,"x","batchNorm"),o=E(t,"mean","batchNorm"),l=E(n,"variance","batchNorm"),u;r!=null&&(u=E(r,"scale","batchNorm")
2022-10-18 13:23:49 +02:00
${r} and ${t} for depthToSpace with input shape
2022-11-12 17:54:00 +01:00
${a.shape}`),A(s*t>=0,()=>`Negative dimension size caused by overflow when multiplying
2022-10-18 13:23:49 +02:00
${s} and ${t} for depthToSpace with input shape
2022-12-01 20:56:40 +01:00
${a.shape}`),A(i%(t*t)===0,()=>`Dimension size must be evenly divisible by ${t*t} but is ${i} for depthToSpace with input shape ${a.shape}`);let o={x:a},l={blockSize:t,dataFormat:n};return O.runKernel(Ll,o,l)}var dv=L({depthToSpace_:IP});function SP(e,t,n,a,r="NHWC",s=[1,1],i){let o=E(e,"x","depthwiseConv2d","float32"),l=E(t,"filter","depthwiseConv2d","float32"),u=o,p=!1;o.rank===3&&(p=!0,u=W(o,[1,o.shape[0],o.shape[1],o.shape[2]])),A(u.rank===4,()=>`Error in depthwiseConv2d: input must be rank 4, but got rank ${u.rank}.`),A(l.rank===4,()=>`Error in depthwiseConv2d: filter must be rank 4, but got rank ${l.rank}.`);let d=r==="NHWC"?u.shape[3]:u.shape[1];A(d===l.shape[2],()=>`Error in depthwiseConv2d: number of input channels (${d}) must match the inChannels dimension in filter ${l.shape[2]}.`),Tn("depthwiseConv2d",a,i);let c={x:u,filter:l},h={strides:n,pad:a,dataFormat:r,dilations:s,dimRoundingMode:i},m=O.runKernel(_i,c,h);return p?W(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var ks=L({depthwiseConv2d_:SP});function TP(e){let t={x:E(e,"x","diag")};return O.runKernel(om,t)}var OS=L({diag_:TP});function NP(e,t,n,a,r=[1,1],s="NHWC"){let i=E(e,"x","dilation2d"),o=E(t,"filter","dilation2d");A(i.rank===3||i.rank===4,()=>`Error in dilation2d: input must be rank 3 or 4, but got rank ${i.rank}.`),A(o.rank===3,()=>`Error in dilation2d: filter must be rank 3, but got rank ${o.rank}.`),A(s==="NHWC",()=>`Error in dilation2d: Only NHWC is currently supported, but got dataFormat of ${s}`);let l=i,u=!1;i.rank===3&&(l=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),u=!0);let p={x:l,filter:o},d={strides:n,pad:a,dilations:r},c=O.runKernel(pc,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var hv=L({dilation2d_:NP});function CP(e,t){let n=E(e,"a","equal","string_or_numeric"),a=E(t,"b","equal","string_or_numeric");[n,a]=Et(n,a),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Wl,r)}var Jn=L({equal_:CP});function EP(e,t,n){let a=E(t,"a","where"),r=E(n,"b","where"),s=E(e,"condition","where","bool"),i=lt(lt(s.shape,a.shape),r.shape),o=Zs(s,i),l=Zs(a,i),u=Zs(r,i),p={condition:o,t:l,e:u};return O.runKernel(cu,p)}var fn=L({where_:EP});function _P(e){let t={x:E(e,"x","zerosLike")};return O.runKernel(Su,t)}var qe=L({zerosLike_:_P});function AP(e,t){let n=E(e,"a","div"),a=E(t,"b","div");[n,a]=Et(n,a);let r=me(n,a),s=qe(r),i=Jn(a,s);return fn(i,s,r)}var mv=L({divNoNan_:AP});function $P(e,t){let n=E(e,"t1","dot"),a=E(t,"t2","dot");A((n.rank===1||n.rank===2)&&(a.rank===1||a.rank===2),()=>`Error in dot: inputs must all be rank 1 or 2, but got ranks ${n.rank} and ${a.rank}.`);let r=n.rank===1?n.size:n.shape[1],s=a.rank===1?a.size:a.shape[0];if(A(r===s,()=>`Error in dot: inner dimensions of inputs must match, but got ${r} and ${s}.`),n.rank===1&&a.rank===1){let i=W(n,[1,-1]),o=W(a,[-1,1]),l=Fe(i,o);return W(l,[])}else if(n.rank===1&&a.rank===2){let i=W(n,[1,-1]),o=W(a,[a.shape[0],a.shape[1]]),l=Fe(i,o);return W(l,[l.size])}else if(n.rank===2&&a.rank===1){let i=W(a,[-1,1]),o=Fe(n,i);return W(o,[o.size])}else{let i=W(a,[a.shape[0],a.shape[1]]);return Fe(n,i)}}var fv=L({dot_:$P});function FP(e,...t){let n=t.map((r,s)=>E(r,`tensors${s}`,"einsum")),a={equation:e};return O.runKernel(lm,n,a)}var LS=L({einsum_:FP});function DP(e){let t={x:E(e,"x","elu","float32")};return O.runKernel($i,t)}var Cu=L({elu_:DP});function RP(e){let t=E(e,"x","erf");A(t.dtype==="int32"||t.dtype==="float32",()=>"Input dtype must be `int32` or `float32`."),t.dtype==="int32"&&(t=le(t,"float32"));let n={x:t};return O.runKernel(zl,n)}var gv=L({erf_:RP});function yv(e,t){for(let n=0;n<e.length;++n)if(e[e.length-n-1]!==t-1-n)return!1;return!0}function zS(e,t,n){let a=e.length+t.length,r=[],s=0,i=0;for(let o=0;o<a;o++)n.indexOf(o)===-1?r.push(e[s++]):r.push(t[i++]);return r}function WS(e,t){let n=[],a=e.length;for(let s=0;s<a;s++)t.indexOf(s)===-1&&n.push(e[s]);let r=t.map(s=>e[s]);return[n,r]}function li(e,t){let n=t.map(a=>1);return zS(e,n,t)}function MP(e,t,n){A(yv(t,n),()=>`${e} supports only inner-most axes for now. Got axes ${t} and rank-${n} input.`)}function BS(e,t){if(yv(e
rank ${s.rank}.`),A(sl(t),()=>`Error in localResponseNormalization: depthRadius must be an integer but got depthRadius ${t}.`);let i=s,o=!1;s.rank===3&&(o=!0,i=W(s,[1,s.shape[0],s.shape[1],s.shape[2]]));let l={x:i},u={depthRadius:t,bias:n,alpha:a,beta:r},p=O.runKernel(dc,l,u);return o?W(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var Sv=L({localResponseNormalization_:iO});function oO(e){let t={x:E(e,"x","log","float32")};return O.runKernel(Wi,t)}var Qn=L({log_:oO});function lO(e){let t={x:E(e,"x","log1p")};return O.runKernel(Zl,t)}var Rc=L({log1p_:lO});function uO(e){return A(rs(e),()=>"The f passed in grad(f) must be a function"),(t,n)=>{let a=E(t,"x","tf.grad","string_or_numeric"),r=n!=null?E(n,"dy","tf.grad"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(a),[a],r);return r!=null&&Sn(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),zm(i),i[0]})}}function pO(e){return A(rs(e),()=>"The f passed in grads(f) must be a function"),(t,n)=>{A(Array.isArray(t),()=>"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s");let a=qp(t,"args","tf.grads","string_or_numeric"),r=n!=null?E(n,"dy","tf.grads"):null;return O.tidy(()=>{let{value:s,grads:i}=O.gradients(()=>e(...a),a,r);return r!=null&&Sn(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),zm(i),i})}}function cO(e){return A(rs(e),()=>"The f passed in valueAndGrad(f) must be a function"),(t,n)=>{A(t instanceof Te,()=>"The x passed in valueAndGrad(f)(x) must be a tensor"),A(n==null||n instanceof Te,()=>"The dy passed in valueAndGrad(f)(x, dy) must be a tensor");let{grads:a,value:r}=O.gradients(()=>e(t),[t],n);return zm(a),{grad:a[0],value:r}}}function dO(e){return A(rs(e),()=>"The f passed in valueAndGrads(f) must be a function"),(t,n)=>{A(Array.isArray(t)&&t.every(r=>r instanceof Te),()=>"The args passed in valueAndGrads(f)(args) must be array of tensors"),A(n==null||n instanceof Te,()=>"The dy passed in valueAndGrads(f)(args, dy) must be a tensor");let a=O.gradients(()=>e(...t),t,n);return n!=null&&Sn(a.value.shape,n.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),zm(a.grads),a}}function GS(e,t){A(rs(e),()=>"The f passed in variableGrads(f) must be a function"),A(t==null||Array.isArray(t)&&t.every(u=>u instanceof ss),()=>"The varList passed in variableGrads(f, varList) must be an array of variables");let n=t!=null;if(!n){t=[];for(let u in O.registeredVariables)t.push(O.registeredVariables[u])}let a=n?t.filter(u=>!u.trainable):null,r=t.length;t=t.filter(u=>u.trainable),A(t.length>0,()=>`variableGrads() expects at least one of the input variables to be trainable, but none of the ${r} variables is trainable.`);let s=!0,{value:i,grads:o}=O.gradients(e,t,null,s);A(o.some(u=>u!=null),()=>"Cannot find a connection between any variable and the result of the loss function y=f(x). Please make sure the operations that use variables are inside the function f passed to minimize()."),A(i.rank===0,()=>`The f passed in variableGrads(f) must return a scalar, but it returned a rank-${i.rank} tensor`);let l={};return t.forEach((u,p)=>{o[p]!=null&&(l[u.name]=o[p])}),a!=null&&a.forEach(u=>l[u.name]=null),{value:i,grads:l}}function ur(e){return O.customGrad(e)}function zm(e){if(e.filter(t=>t==null).length>0)throw new Error(`Cannot compute gradient of y=f(x) with respect to x. Make sure that
the f you passed encloses all operations that lead from x to y.`)}function hO(e){let t={x:E(e,"x","softplus")};return O.runKernel(gu,t)}var xo=L({softplus_:hO});function mO(e){let t=E(e,"x","logSigmoid");return ur(n=>({value:bt(xo(bt(n))),gradFunc:a=>z(a,da(bt(n)))}))(t)}var Tv=L({logSigmoid_:mO});function fO(e,t){let n=E(e,"a","sub"),a=E(t,"b","sub");[n,a]=Et(n,a);let r={a:n,b:a};return O.runKernel(fo,r)}var pe=L({sub_:fO});function gO(e,t=-1){let n=E(e,"logits","logSoftmax");if(t===-1&&(t=n.rank-1),t!==n.rank-1)throw Error(`Log Softmax along a non-last dimension is not yet supported. Logits was rank ${n.rank} and axis was ${t}`);return ur((a,r)=>{let s=ha(a,t,!0),i=pe(a,s),o=pe(le(i,"float32"),Qn(fe(gn(i),t,!0)));return r([o]),{value:o,gradFunc:(l,u)=>{let[p]=u,d=!0,c=gn(p);return pe(l,z(fe(l,t,d),c))}}})(n)}var Wm=L({logSoftmax_:gO});function yO(e,t=null,n=!1){let a=E(e,"x","logSumExp"),r=Fa(t,a.shape),s=ha(a,r,!0),i=pe(a,s),o=gn(i),l=fe(o,r),u=Qn(l),p=Y(W(s,u.shape),u);if(n){let d=li(p.shape,r);return W(p,d)}return p}var Bm=L({logSumExp_:yO});function bO(e,t){let n=E(e,"a","logicalAnd","bool"),a=E(t,"b","logicalAnd","bool");lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Jl,r)}var $a=L({logicalAnd_:bO});function xO(e){let t={x:E(e,"x","logicalNot","bool")};return O.runKernel(Ql,t)}var Mc=L({logicalNot_:xO});function vO(e,t){let n=E(e,"a","logicalOr","bool"),a=E(t,"b","logicalOr","bool");lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(eu,r)}var Vm=L({logicalOr_:vO});function wO(e,t){let n=E(e,"a","logicalXor","bool"),a=E(t,"b","logicalXor","bool");return lt(n.shape,a.shape),$a(Vm(e,t),Mc($a(e,t)))}var Nv=L({logicalXor_:wO}),jd=2147483648;function kO(e,t,n="left"){let a=E(e,"sortedSequence","searchSorted"),r=E(t,"values","searchSorted"),s=a.shape[a.shape.length-1],i=r.shape[r.shape.length-1],o=W(a,[-1,s]),l=W(r,[-1,i]);if(o.rank<2)throw new Error("Sorted input argument must be at least 2-dimensional");if(o.shape[0]!==l.shape[0])throw new Error("Leading dimension of 'sortedSequence' and 'values' must match.");if(mt(l.shape)>=jd)throw new Error(`values tensor size must less than ${jd}`);if(o.shape[1]>=jd)throw new Error(`trailing dim_size must less than ${jd} for int32 output type, was ${o.shape[1]}`);let u={sortedSequence:o,values:l},p={side:n};return O.runKernel(Tm,u,p)}var Um=L({searchSorted_:kO});function HS(e,t){return Um(e,t,"left")}function IO(e,t,n,a,r){let s=E(e,"x","maxPool"),i=1,o=s,l=!1;s.rank===3&&(l=!0,o=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(o.rank===4,()=>`Error in maxPool: input must be rank 4 but got rank ${o.rank}.`),A(cr(n,i),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${n} and dilations '${i}'`),Tn("maxPool",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r},d=O.runKernel(Ui,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Dt=L({maxPool_:IO});function SO(e,t=[1,1,1],n,a,r,s="NDHWC"){let i=E(e,"x","maxPool3d"),o=i,l=!1;i.rank===4&&(l=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]])),A(o.rank===5,()=>`Error in maxPool3d: x must be rank 5 but got rank ${o.rank}.`),A(s==="NDHWC",()=>`Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of ${s}`),Tn("maxPool3d",a,r);let u={x:o},p={filterSize:t,strides:n,pad:a,dimRoundingMode:r,dataFormat:s},d=O.runKernel(hc,u,p);return l?W(d,[d.shape[1],d.shape[2],d.shape[3],d.shape[4]]):d}var Cv=L({maxPool3d_:SO});function TO(e,t,n,a,r=!1){let s={x:E(e,"x","maxPoolWithArgmax")},i={filterSize:t,strides:n,pad:a,includeBatchInIndex:r},o=O.runKernel(ym,s,i);return{result:o[0],indexes:o[1]}}var jS=L({maxPoolWithArgmax_:TO});function NO(e,t){let n=E(e,"a","maximum"),a=E(t,"b","maximum");[n,a]=Et(n,a),n.dtype==="bool"&&(n=le(n,"int32"),a=le(a,"int32")),lt(n.shape,a.shape);let r={a:n,b:a};return O.runKernel(Vi,r)}var dr=L({maximum_:NO});function CO(e,t=null,n=!1){let a={x:E(e,"x","mean")},r={axis:t,keepDims:n};return O.runKernel(Gi,a,r)}var Nt=L({mean_:CO});function It(e,t="float32"){if(na(e),t==="complex64"){let a=It(e,"float32"),r=It(e,"float32");return _r(a,r)}let
${r.shape}`);if(s.rank!==1)throw new Error(`Values should be Tensor1D but received shape ${s.shape}`);if(i.rank!==1)throw new Error(`Dense shape should be Tensor1D but received shape ${i.shape}`);if(o.rank!==0)throw new Error(`Default value should be a scalar but received shape ${o.shape}`);let l={indices:r,values:s,denseShape:i,defaultValue:o},u=O.runKernel(fc,l);return{outputIndices:u[0],outputValues:u[1],emptyRowIndicator:u[2],reverseIndexMap:u[3]}}var yz=L({sparseFillEmptyRows_:gz});function bz(e,t,n){let a=E(e,"inputIndices","sparseReshape","int32"),r=E(t,"inputShape","sparseReshape","int32"),s=E(n,"newShape","sparseReshape","int32");if(a.rank!==2)throw new Error(`Input indices should be Tensor2D but received shape
${a.shape}`);if(r.rank!==1)throw new Error(`Input shape should be Tensor1D but received shape ${r.shape}`);if(s.rank!==1)throw new Error(`New shape should be Tensor1D but received shape ${s.shape}`);let i={inputIndices:a,inputShape:r,newShape:s},o=O.runKernel(xu,i);return{outputIndices:o[0],outputShape:o[1]}}var xz=L({sparseReshape_:bz});function vz(e,t,n){let a=E(e,"data","sparseSegmentMean"),r=E(t,"indices","sparseSegmentMean","int32"),s=E(n,"segmentIds","sparseSegmentMean","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape
2022-10-18 13:23:49 +02:00
${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape
2022-12-01 20:56:40 +01:00
${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(gc,i)}var wz=L({sparseSegmentMean_:vz});function kz(e,t,n){let a=E(e,"data","sparseSegmentSum"),r=E(t,"indices","sparseSegmentSum","int32"),s=E(n,"segmentIds","sparseSegmentSum","int32");if(a.rank<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.rank!==1)throw new Error(`Indices should be Tensor1D but received shape
2022-10-18 13:23:49 +02:00
${r.shape}`);if(s.rank!==1)throw new Error(`Segment ids should be Tensor1D but received shape
2022-12-01 20:56:40 +01:00
${s.shape}`);let i={data:a,indices:r,segmentIds:s};return O.runKernel(yc,i)}var Iz=L({sparseSegmentSum_:kz});function Sz(e,t,n,a,r,s,i,o){let l=E(e,"data","stringNGrams","string");if(l.dtype!=="string")throw new Error("Data must be of datatype string");if(l.shape.length!==1)throw new Error(`Data must be a vector, saw: ${l.shape}`);let u=E(t,"dataSplits","stringNGrams");if(u.dtype!=="int32")throw new Error("Data splits must be of datatype int32");let p={separator:n,nGramWidths:a,leftPad:r,rightPad:s,padWidth:i,preserveShortSequences:o},d={data:l,dataSplits:u},c=O.runKernel(xc,d,p);return{nGrams:c[0],nGramsSplits:c[1]}}var Tz=L({stringNGrams_:Sz});function Nz(e,t,n=!0){let a=E(e,"input","stringSplit","string"),r=E(t,"delimiter","stringSplit","string");if(a.rank!==1)throw new Error(`Input should be Tensor1D but received shape ${a.shape}`);if(r.rank!==0)throw new Error(`Delimiter should be a scalar but received shape ${r.shape}`);let s={skipEmpty:n},i={input:a,delimiter:r},o=O.runKernel(vc,i,s);return{indices:o[0],values:o[1],shape:o[2]}}var Cz=L({stringSplit_:Nz});function Ez(e,t){let n=E(e,"input","stringToHashBucketFast","string"),a={numBuckets:t};if(t<=0)throw new Error("Number of buckets must be at least 1");let r={input:n};return O.runKernel(wc,r,a)}var _z=L({stringToHashBucketFast_:Ez}),$T={fft:Wc,ifft:dl,rfft:Bc,irfft:Jm},FT={hammingWindow:oL,hannWindow:ST,frame:TT,stft:cL},_a={flipLeftRight:fL,grayscaleToRGB:yL,resizeNearestNeighbor:AT,resizeBilinear:_T,rotateWithOffset:xL,cropAndResize:hL,nonMaxSuppression:wL,nonMaxSuppressionAsync:_L,nonMaxSuppressionWithScore:$L,nonMaxSuppressionWithScoreAsync:DL,nonMaxSuppressionPadded:ML,nonMaxSuppressionPaddedAsync:OL,threshold:VL,transform:GL},jv={bandPart:jL,gramSchmidt:KL,qr:YL},DT={absoluteDifference:QL,computeWeightedLoss:Fr,cosineDistance:tz,hingeLoss:az,huberLoss:sz,logLoss:oz,meanSquaredError:uz,sigmoidCrossEntropy:dz,softmaxCrossEntropy:fz},RT={sparseFillEmptyRows:yz,sparseReshape:xz,sparseSegmentMean:wz,sparseSegmentSum:Iz},MT={stringNGrams:Tz,stringSplit:Cz,stringToHashBucketFast:_z},Dr=class extends NS{minimize(e,t=!1,n){let{value:a,grads:r}=this.computeGradients(e,n);if(n!=null){let s=n.map(i=>({name:i.name,tensor:r[i.name]}));this.applyGradients(s)}else this.applyGradients(r);return Ee(r),t?a:(a.dispose(),null)}get iterations(){return this.iterations_==null&&(this.iterations_=0),this.iterations_}incrementIterations(){this.iterations_=this.iterations+1}computeGradients(e,t){return GS(e,t)}dispose(){this.iterations_!=null&&Ee(this.iterations_)}async saveIterations(){return this.iterations_==null&&(this.iterations_=0),{name:"iter",tensor:xe(this.iterations_,"int32")}}async getWeights(){throw new Error("getWeights() is not implemented for this optimizer yet.")}async setWeights(e){throw new Error(`setWeights() is not implemented for this optimizer class ${this.getClassName()}`)}async extractIterations(e){return this.iterations_=(await e[0].tensor.data())[0],e.slice(1)}};Object.defineProperty(Dr,Symbol.hasInstance,{value:e=>e.minimize!=null&&e.computeGradients!=null&&e.applyGradients!=null});var lf=class extends Dr{constructor(e,t,n=null){super(),this.learningRate=e,this.rho=t,this.epsilon=n,this.accumulatedGrads=[],this.accumulatedUpdates=[],n==null&&(this.epsilon=O.backend.epsilon())}applyGradients(e){(Array.isArray(e)?e.map(t=>t.name):Object.keys(e)).forEach((t,n)=>{let a=O.registeredVariables[t],r=!1;this.accumulatedGrads[n]==null&&(this.accumulatedGrads[n]={originalName:`${t}/accum_grad`,variable:P(()=>qe(a).variable(r))}),this.accumulatedUpdates[n]==null&&(this.accumulatedUpdates[n]={originalName:`${t}/accum_var`,variable:P(()=>qe(a).variable(r))});let s=Array.isArray(e)?e[n].tensor:e[t];if(s==null)return;let i=this.accumulatedGrads[n].variable,o=this.accumulatedUpdates[n].variable;P(()=>{let l=Y(z(i,this.rho),z(ot(s),1-this.rho)),u=z(me(un(Y(o,this.epsilon)),un(Y(i,this.epsilon))),s),p=Y(z(o,this.rho),z(ot(u),1-this.rho));i.assign(l),o.assign(p);let d=Y(z(u,-this.learningRate),a);a.assign(d)})}),this.incrementIterations()}dispose(){this.accumulatedUpda
indices.shape[0] = ${e}`}function hW(e,t){return`indices(${e}, 0) is invalid: ${t} < 0`}function mW(e,t,n){return`indices(${e}, 0) is invalid: ${t} >= ${n}`}function fW(e,t){return`only one output dimension may be -1, not both ${e} and ${t}`}function gW(e,t){return`size ${e} must be non-negative, not ${t}`}function yW(){return"reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero"}function bW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a SparseTensor with ${n}
dense values, but the requested shape requires a multiple of ${a}. inputShape=${e} outputShape= ${t}`}function xW(e,t){let n=mt(e),a=mt(t);return`Input to reshape is a tensor with ${n} dense values, but the requested shape has ${a}. inputShape=${e} outputShape=${t}`}function vW(){return"segment ids must be >= 0"}function wW(){return"segment ids are not increasing"}function kW(e,t){return`Segment id ${e} out of range [0, ${t}), possibly because segmentIds input is not sorted.`}function IW(e,t,n){return`Bad: indices[${e}] == ${t} out of range [0, ${n})`}var LT={};Ae(LT,{collectGatherOpShapeInfo:()=>NW,computeOutShape:()=>TW,segOpComputeOptimalWindowSize:()=>SW});function SW(e,t){let n=!1,a;for(e<=Kv?(a=e,n=!0):a=fh(e,Math.floor(Math.sqrt(e)));!n;)a>t||a===e?n=!0:a=fh(e,a+1);return a}function TW(e,t,n){let a=[],r=e.length;for(let s=0;s<r;s++)s!==t?a.push(e[s]):a.push(n);return a}function NW(e,t,n,a){let r=t.shape.length,s=e.shape.length;if(a!==0&&(a<-r||a>r))throw new Error(`Expect batchDims in the range of [-${r}, ${r}], but got ${a}`);if(a<0&&(a+=r),a>s)throw new Error(`batchDims (${a}) must be less than rank(x) (
${s}).`);if(n<a)throw new Error(`batchDims (${a}) must be less than or equal to axis (${n}).`);for(let d=0;d<a;++d)if(e.shape[d]!==t.shape[d])throw new Error(`x.shape[${d}]: ${e.shape[d]} should be equal to indices.shape[${d}]: ${t.shape[d]}.`);let i=e.shape[n],o=[],l=1,u=1,p=1;for(let d=0;d<a;++d)o.push(e.shape[d]),l*=e.shape[d];for(let d=a;d<n;d++)o.push(e.shape[d]),u*=e.shape[d];for(let d=a;d<r;d++)o.push(t.shape[d]);for(let d=n+1;d<s;d++)o.push(e.shape[d]),p*=e.shape[d];return{batchSize:l,sliceSize:p,outerSize:u,dimSize:i,outputShape:o}}function CW(e){try{return e.map(t=>wh(t))}catch(t){throw new Error(`Failed to decode encoded string bytes into utf-8, error: ${t}`)}}function EW(e){return e.map(t=>Tc(t))}var hr={};Ae(hr,{nonMaxSuppressionV3Impl:()=>NT,nonMaxSuppressionV4Impl:()=>CT,nonMaxSuppressionV5Impl:()=>ET,whereImpl:()=>fT});var zT={kernelName:Sl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>z(e,wo(le(n,"float32"),-1))}}},_W={kernelName:Tl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=ot(le(n,"float32")),r=un(pe(xe(1),a));return bt(me(e,r))}}}},AW={kernelName:Nl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=un(pe(ot(le(n,"float32")),1));return me(e,a)}}}},$W={kernelName:fs,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=e,i=Wt(n.shape,r);return i.length>0&&(s=fe(s,i)),W(s,n.shape)},b:()=>{let s=e,i=Wt(a.shape,r);return i.length>0&&(s=fe(s,i)),W(s,a.shape)}}}},FW={kernelName:bi,saveAllInputs:!0,gradFunc:(e,t)=>{let n={};return t.forEach((a,r)=>{n[r]=()=>e.clone()}),n}},DW={kernelName:xi,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},RW={kernelName:ic,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>qe(n)}}},MW={kernelName:_l,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>me(e,un(pe(xe(1),ot(le(n,"float32")))))}}},PW={kernelName:Al,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>{let a=un(Y(xe(1),ot(le(n,"float32"))));return me(e,a)}}}},OW={kernelName:Dl,inputsToSave:["a","b"],gradFunc:(e,t)=>{let[n,a]=t,r=lt(n.shape,a.shape);return{a:()=>{let s=Y(ot(n),ot(a)),i=z(e,me(a,s)),o=Wt(n.shape,r);return o.length>0&&(i=fe(i,o)),W(i,n.shape)},b:()=>{let s=Y(ot(n),ot(a)),i=bt(z(e,me(n,s))),o=Wt(a.shape,r);return o.length>0&&(i=fe(i,o)),W(i,a.shape)}}}},LW={kernelName:$l,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>me(e,Y(ot(le(n,"float32")),1))}}},zW={kernelName:Fl,inputsToSave:["x"],gradFunc:(e,t)=>{let[n]=t;return{x:()=>me(e,pe(xe(1),ot(le(n,"float32"))))}}};function WW(e,t,n,a,r,s){let i=E(e,"dy","avgPool3dGrad"),o=E(t,"input","avgPool3dGrad"),l=i,u=o,p=!1;o.rank===4&&(p=!0,l=W(i,[1,i.shape[0],i.shape[1],i.shape[2],i.shape[3]]),u=W(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),A(l.rank===5,()=>`Error in avgPool3dGrad: dy must be rank 5 but got rank ${l.rank}.`),A(u.rank===5,()=>`Error in avgPool3dGrad: input must be rank 5 but got rank ${u.rank}.`),Tn("avgPool3dGrad",r,s);let d={dy:l,input:u},c={filterSize:n,strides:a,pad:r,dimRoundingMode:s},h=O.runKernel(Zh,d,c);return p?W(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}var BW=L({avgPool3dGrad_:WW}),VW={kernelName:oc,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i,dimRoundingMode:o}=n;return{x:()=>BW(e,a,r,s,i,o)}}};function UW(e,t,n,a,r){let s=E(e,"dy","avgPoolGrad"),i=E(t,"input","avgPoolGrad");A(i.rank===s.rank,()=>`Rank of input (${i.rank}) does not match rank of dy (${s.rank})`);let o=i,l=s,u=!1;i.rank===3&&(u=!0,o=W(i,[1,i.shape[0],i.shape[1],i.shape[2]]),l=W(s,[1,s.shape[0],s.shape[1],s.shape[2]])),A(l.rank===4,()=>`Error in avgPoolGrad: dy must be rank 4 but got rank ${l.rank}.`),A(o.rank===4,()=>`Error in avgPoolGrad: input must be rank 4 but got rank ${o.rank}.`);let p={dy:l,input:o},d={filterSize:n,strides:a,pad:r},c=O.runKernel(Yh,p,d);return u?W(c,[c.shape[1],c.shape[2],c.shape[3]]):c}var GW=L({avgPoolGrad_:UW}),HW={kernelName:vi,inputsToSave:["x"],gradFunc:(e,t,n)=>{let[a]=t,{filterSize:r,strides:s,pad:i}=n;return{x:()=>GW(e,a,r,s,i)}}},jW={kernelName:wi,i
2022-10-18 13:23:49 +02:00
1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);return i}else{let s=e;if(s.className==null||s.config==null)throw new V(`${a}: Improper config format: ${JSON.stringify(s)}.
2022-12-01 20:56:40 +01:00
'className' and 'config' must set.`);let i=s.className,o,l;if(i in n?[o,l]=n[i]:i in Ia?[o,l]=Ia.className:i in t&&([o,l]=t[i]),o==null)throw new V(`Unknown ${a}: ${i}. This may be due to one of the following reasons:
2022-10-18 13:23:49 +02:00
1. The ${a} is defined in Python, in which case it needs to be ported to TensorFlow.js or your JavaScript code.
2022-12-01 20:56:40 +01:00
2. The custom ${a} is defined in JavaScript, but is not registered properly with tf.serialization.registerClass().`);if(l!=null){let u={};for(let h of Object.keys(Ia))u[h]=Ia[h];for(let h of Object.keys(n))u[h]=n[h];let p=s.config;p.customObjects=u;let d=Object.assign({},Ia);for(let h of Object.keys(n))Ia[h]=n[h];Wb(s.config);let c=l(o,s.config,n,r);return Ia=Object.assign({},d),c}else{let u=Object.assign({},Ia);for(let d of Object.keys(n))Ia[d]=n[d];let p=new o(s.config);return Ia=Object.assign({},u),p}}}function D4(e,t){return e<t?-1:e>t?1:0}function qd(e,t){return-1*D4(e,t)}function ns(e){if(e==null)return e;let t=[];for(let n of e)t.indexOf(n)===-1&&t.push(n);return t}function R4(e){if(e==null)throw new V(`Invalid value in obj: ${JSON.stringify(e)}`);for(let t in e)if(e.hasOwnProperty(t))return!1;return!0}function ko(e,t,n){if(n!=null&&e.indexOf(n)<0)throw new V(`${n} is not a valid ${t}. Valid values are ${e} or null/undefined.`)}function Yv(e,t,n=0,a=1/0){return nr(n>=0),nr(a>=n),Array.isArray(e)&&e.length>=n&&e.length<=a&&e.every(r=>typeof r===t)}function en(e,t){Array.isArray(e)?(v.assert(e.length>0,()=>`${t} is unexpectedly an empty array.`),e.forEach((n,a)=>en(n,`element ${a+1} of ${t}`))):v.assert(Number.isInteger(e)&&e>0,()=>`Expected ${t} to be a positive integer, but got ${UT(e)}.`)}function UT(e){return e===null?"null":Array.isArray(e)?"["+e.map(t=>UT(t)).join(",")+"]":typeof e=="string"?`"${e}"`:`${e}`}function M4(e,t,n){let a=n!=null?n():v.now(),r;return(...s)=>{let i=n!=null?n():v.now();return i-a<t||(a=i,r=e(...s)),r}}function GT(e){return e==="relu"?"relu":e==="linear"?"linear":e==="elu"?"elu":null}var P4=0;function HT(){return P4++}var Kd={};function mf(e=""){return e in Kd||(Kd[e]=0),Kd[e]+=1,e+Kd[e].toString()}var O4=["channelsFirst","channelsLast"],L4=["nearest","bilinear"],z4=["valid","same","causal"],W4=["max","avg"],B4=["sum","mul","concat","ave"],Yo=new Map;function Rt(e){ko(O4,"DataFormat",e)}function V4(e){ko(L4,"InterpolationFormat",e)}function xa(e){ko(z4,"PaddingMode",e)}function jT(e){ko(W4,"PoolMode",e)}var Wp=[],ck="/";function Js(e,t){Wp.push(e);try{let n=t();return Wp.pop(),n}catch(n){throw Wp.pop(),n}}function U4(){return Wp.length===0?"":Wp.join(ck)+ck}function qT(e){if(!XT(e))throw new Error("Not a valid tensor name: '"+e+"'");return U4()+e}function KT(e){if(!XT(e))throw new Error("Not a valid tensor name: '"+e+"'");Yo.has(e)||Yo.set(e,0);let t=Yo.get(e);if(Yo.set(e,Yo.get(e)+1),t>0){let n=`${e}_${t}`;return Yo.set(n,1),n}else return e}var G4=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function XT(e){return!!e.match(G4)}function H4(e){return e===parseInt(e.toString(),10)}function as(e,t,n){t==null&&(t=0),n==null&&(n=e.length);let a=1;for(let r=t;r<n;++r)a*=e[r];return a}function ml(e){if(e.length===0)return Number.NaN;let t=Number.POSITIVE_INFINITY;for(let n=0;n<e.length;n++){let a=e[n];a<t&&(t=a)}return t}function os(e){if(e.length===0)return Number.NaN;let t=Number.NEGATIVE_INFINITY;for(let n=0;n<e.length;n++){let a=e[n];a>t&&(t=a)}return t}function ja(e,t){if(t<e)throw new V(`end (${t}) < begin (${e}) is forbidden.`);let n=[];for(let a=e;a<t;++a)n.push(a);return n}var hb;function jt(){return hb==null&&(hb=dS().epsilon()),hb}function qa(){return"channelsLast"}function ir(e,t){return le(e,t)}function Gc(e,t=-1){let n=e.shape.slice();return t<0&&(t=n.length+t+1),n.splice(t,0,1),W(e,n)}function j4(e,t){return P(()=>{if(e.shape.length!==2)throw new V(`repeat() expects a rank-2 tensor, but received a rank-${e.shape.length} tensor.`);let n=Gc(e,1);return Bb(n,[1,t,1])})}function q4(e){let t=[as(e.shape)];return W(e,t)}function K4(e){if(e.rank<=1)throw new V(`batchFlatten requires a minimum rank of 2. Got rank: ${e.rank}.`);let t=[e.shape[0],as(e.shape,1)];return W(e,t)}function Qs(e,t,n){return P(()=>{switch(e.rank){case 1:return zc(e,t,n);case 2:return Zm(e,[t,0],[n,e.shape[1]]);case 3:return vo(e,[t,0,0],[n,e.shape[1],e.shape[2]]);case 4:return cl(e,[t,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3]]);case 5:return Be(e,[t,0,0,0,0],[n,e.shape[1],e.shape[2],e.shape[3],e.shape[4]]);cas
Received countWeights=${t.countWeights}`);n=Ne(t.countWeights)}let a=ha(e),r=pl(e),s=Nn(this.numTokens,a).bufferSync().get(0),i=$r(r,0).bufferSync().get(0);if(!(s&&i))throw new V(`Input values must be between 0 < values <= numTokens with numTokens=${this.numTokens}`);return BU(e,this.outputMode,this.numTokens,n)})}};b0.className="CategoryEncoding";ne.registerClass(b0);var VU=["bilinear","nearest"],_k=new Set(VU),x0=class extends Ve{constructor(e){if(super(e),this.height=e.height,this.width=e.width,e.interpolation)if(_k.has(e.interpolation))this.interpolation=e.interpolation;else throw new V(`Invalid interpolation parameter: ${e.interpolation} is not implemented`);else this.interpolation="bilinear";this.cropToAspectRatio=Boolean(e.cropToAspectRatio)}computeOutputShape(e){e=Je(e);let t=e[2];return[this.height,this.width,t]}getConfig(){let e={height:this.height,width:this.width,interpolation:this.interpolation,cropToAspectRatio:this.cropToAspectRatio},t=super.getConfig();return Object.assign(e,t),e}call(e,t){return P(()=>{let n=[this.height,this.width];if(this.interpolation==="bilinear")return _a.resizeBilinear(e,n,!this.cropToAspectRatio);if(this.interpolation==="nearest")return _a.resizeNearestNeighbor(e,n,!this.cropToAspectRatio);throw new Error(`Interpolation is ${this.interpolation} but only ${[..._k]} are supported`)})}};x0.className="Resizing";ne.registerClass(x0);function UU(e){return new Ru(e)}function GU(e){return new ww(e)}function HU(e){return new bw(e)}function jU(e){return new xw(e)}function qU(e){return new vw(e)}function KU(e){return new Iw(e)}function XU(e){return new kw(e)}function YU(e){return new Nf(e)}function ZU(e){return new Yc(e)}function JU(e){return new Nw(e)}function QU(e){return new Zc(e)}function eG(e){return new Cw(e)}function tG(e){return new Ew(e)}function nG(e){return new _w(e)}function aG(e){return new Aw(e)}function rG(e){return new $w(e)}function sG(e){return new zw(e)}function iG(e){return new Ow(e)}function oG(e){return new $f(e)}function lG(e){return new Pw(e)}function uG(e){return new Lw(e)}function pG(e){return new Ww(e)}function cG(e){return new Bw(e)}function dG(e){return new Vw(e)}function hG(e){return new Gw(e)}function mG(e){return new Hw(e)}function fG(e){return new qw(e)}function gG(e){return new Yw(e)}function yG(e){return new Kw(e)}function bG(e){return new Xw(e)}function xG(e){return new jw(e)}function vG(e){return new Zw(e)}function wG(e){return new t0(e)}function kG(e){return new n0(e)}function IG(e){return new a0(e)}function v0(e){return new s0(e)}function SG(e){return v0(e)}function TG(e){return v0(e)}function w0(e){return new o0(e)}function NG(e){return w0(e)}function CG(e){return w0(e)}function k0(e){return new u0(e)}function EG(e){return k0(e)}function _G(e){return k0(e)}function AG(e){return new p0(e)}function $G(e){return new d0(e)}function KN(e){return new c0(e)}function XN(e){return new h0(e)}function YN(e){return new r0(e)}function ZN(e){return new i0(e)}function FG(e){return new l0(e)}function DG(e){return new Dw(e)}function RG(e){return new Ef(e)}function MG(e){return new Rw(e)}function PG(e){return new Qc(e)}function OG(e){return new Fw(e)}function LG(e){return new Cf(e)}function zG(e){return new Mw(e)}function WG(e){return new Af(e)}function BG(e){return new mr(e)}function VG(e){return new _f(e)}function UG(e){return new f0(e)}function GG(e){return new m0(e)}var HG=KN,jG=XN,qG=YN,KG=ZN;function XG(e){return new Jw(e)}function YG(e){return new Qw(e)}function ZG(e){return new e0(e)}function JG(e){return new Uw(e)}function QG(e){return new g0(e)}function eH(e){return new y0(e)}function tH(e){return new x0(e)}function nH(e){return new b0(e)}var JN={};Ae(JN,{MAPE:()=>hH,MSE:()=>gH,binaryAccuracy:()=>aH,binaryCrossentropy:()=>rH,categoricalAccuracy:()=>iH,categoricalCrossentropy:()=>oH,cosineProximity:()=>pH,mape:()=>mH,meanAbsoluteError:()=>cH,meanAbsolutePercentageError:()=>dH,meanSquaredError:()=>fH,mse:()=>yH,precision:()=>lH,recall:()=>uH,sparseCategoricalAccuracy:()=>sH});function aH(e,t){return dw(e,t)}function rH(e,t){return dN(e,t)}function
because the value dtype is ${t.dtype}, but TensorArray dtype is ${this.dtype}.`);if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=t.shape),Ea(this.elementShape,t.shape,`TensorArray ${this.name}: Could not write to TensorArray index ${e}.`),n.read)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been read.`);if(n.written)throw new Error(`TensorArray ${this.name}: Could not write to TensorArray index ${e}, because it has already been written.`);n.tensor=t,Ht(t),n.written=!0,this.tensors[e]=n}writeMany(e,t){if(e.length!==t.length)throw new Error(`TensorArray ${this.name}: could not write multiple tensors,because the index size: ${e.length} is not the same as tensors size: ${t.length}.`);e.forEach((n,a)=>this.write(n,t[a]))}gather(e,t){if(!!t&&t!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but gather requested dtype ${t}`);if(e)e=e.slice(0,this.size());else{e=[];for(let a=0;a<this.size();a++)e.push(a)}if(e.length===0)return mn([],[0].concat(this.elementShape));let n=this.readMany(e);return Ea(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),$t(n,0)}concat(e){if(!!e&&e!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but concat requested dtype ${e}`);if(this.size()===0)return mn([],[0].concat(this.elementShape));let t=[];for(let a=0;a<this.size();a++)t.push(a);let n=this.readMany(t);return Ea(this.elementShape,n[0].shape,`TensorArray shape mismatch: tensor array shape (${this.elementShape}) vs first tensor shape (${n[0].shape})`),Ze(n,0)}scatter(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);if(e.length!==t.shape[0])throw new Error(`Expected len(indices) == tensor.shape[0], but saw: ${e.length} vs. ${t.shape[0]}`);let n=Math.max(...e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error(`Max index must be < array size (${n} vs. ${this.maxSize})`);this.writeMany(e,ut(t,0))}split(e,t){if(t.dtype!==this.dtype)throw new Error(`TensorArray dtype is ${this.dtype} but tensor has dtype ${t.dtype}`);let n=0,a=e.map(o=>(n+=o,n));if(n!==t.shape[0])throw new Error(`Expected sum of lengths to be equal to
2022-10-18 13:23:49 +02:00
tensor.shape[0], but sum of lengths is
2022-12-01 20:56:40 +01:00
${n}, and tensor's shape is: ${t.shape}`);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error(`TensorArray's size is not equal to the size of lengths (${this.maxSize} vs. ${e.length}), and the TensorArray is not marked as dynamically resizeable`);let r=n===0?0:t.size/n,s=[];P(()=>{t=W(t,[1,n,r]);for(let o=0;o<e.length;++o){let l=[0,o===0?0:a[o-1],0],u=[1,e[o],r];s[o]=W(Be(t,l,u),this.elementShape)}return s});let i=[];for(let o=0;o<e.length;o++)i[o]=o;this.writeMany(i,s)}},yl=class{constructor(e,t,n,a=-1){this.tensors=e,this.elementShape=t,this.elementDtype=n,e!=null&&e.forEach(r=>{if(n!==r.dtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${r.dtype}`);Ea(t,r.shape,"TensorList shape mismatch: "),Ht(r)}),this.idTensor=xe(0),this.maxNumElements=a,Ht(this.idTensor)}get id(){return this.idTensor.id}copy(){return new yl([...this.tensors],this.elementShape,this.elementDtype)}clearAndClose(e){this.tensors.forEach(t=>{(e==null||!e.has(t.id))&&t.dispose()}),this.tensors.length=0,this.idTensor.dispose()}size(){return this.tensors.length}stack(e,t,n=-1){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(n!==-1&&this.tensors.length!==n)throw new Error(`Operation expected a list with ${n} elements but got a list with ${this.tensors.length} elements.`);Ea(e,this.elementShape,"TensorList shape mismatch: ");let a=Cp(this.elementShape,this.tensors,e);return P(()=>{let r=this.tensors.map(s=>W(s,a));return $t(r,0)})}popBack(e,t){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);if(this.size()===0)throw new Error("Trying to pop from an empty list.");let n=Cp(this.elementShape,this.tensors,e),a=this.tensors.pop();return a.kept=!1,Ea(a.shape,e,"TensorList shape mismatch: "),W(a,n)}pushBack(e){if(e.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${e.dtype}, but list elements ${this.elementDtype}`);if(Ea(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");Ht(e),this.tensors.push(e)}resize(e){if(e<0)throw new Error(`TensorListResize expects size to be non-negative. Got: ${e}`);if(this.maxNumElements!==-1&&e>this.maxNumElements)throw new Error(`TensorListResize input size ${e} is greater maxNumElement ${this.maxNumElements}.`);let t=new yl([],this.elementShape,this.elementDtype,this.maxNumElements);t.tensors.length=e;for(let n=0;n<Math.min(this.tensors.length,e);++n)t.tensors[n]=this.tensors[n];return t}getItem(e,t,n){if(n!==this.elementDtype)throw new Error(`Invalid data types; op elements ${n}, but list elements ${this.elementDtype}`);if(e<0||e>this.tensors.length)throw new Error(`Trying to access element ${e} in a list with ${this.tensors.length} elements.`);if(this.tensors[e]==null)throw new Error(`element at index ${e} is null.`);Ea(this.tensors[e].shape,t,"TensorList shape mismatch: ");let a=Cp(this.elementShape,this.tensors,t);return W(this.tensors[e],a)}setItem(e,t){if(t.dtype!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t.dtype}, but list elements ${this.elementDtype}`);if(e<0||this.maxNumElements!==-1&&e>=this.maxNumElements)throw new Error(`Trying to set element ${e} in a list with max ${this.maxNumElements} elements.`);Ea(this.elementShape,t.shape,"TensorList shape mismatch: "),Ht(t),this.tensors[e]!=null&&(this.tensors[e].kept=!1),this.tensors[e]=t}gather(e,t,n){if(t!==this.elementDtype)throw new Error(`Invalid data types; op elements ${t}, but list elements ${this.elementDtype}`);Ea(this.elementShape,n,"TensorList shape mismatch: "),e=e.slice(0,this.size());let a=Cp(this.elementShape,this.tensors,n);return e.length===0?mn([],[0].concat(a)):P(()=>{let r=e.map(s=>W(this.tensors[s],a));return $t(r,0)})}concat(e,t){if(!!e&&e!==this.elementDtype)throw new Error(`TensorList dtype is ${this.elementDtype} but concat requested dtype ${e}`);Ea(this.elementShape,t,"TensorList shape mismatch: ");let n=Cp(thi
2022-10-18 13:23:49 +02:00
tensor.shape[0], but sum of lengths is
2022-12-01 20:56:40 +01:00
${a}, and tensor's shape is: ${e.shape}`);let s=e.shape.slice(1),i=sx(s,n),o=a===0?0:e.size/a,l=P(()=>{let p=[];e=W(e,[1,a,o]);for(let d=0;d<t.length;++d){let c=[0,d===0?0:r[d-1],0],h=[1,t[d],o];p[d]=W(Be(e,c,h),i)}return e.dispose(),p}),u=new yl([],n,e.dtype,t.length);for(let p=0;p<l.length;p++)u.setItem(p,l[p]);return u}var t6=async(e,t,n)=>{switch(e.op){case"If":case"StatelessIf":{let a=k("thenBranch",e,t,n),r=k("elseBranch",e,t,n),s=k("cond",e,t,n),i=k("args",e,t,n);return(await s.data())[0]?n.functionMap[a].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap):n.functionMap[r].executeFunctionAsync(i,n.tensorArrayMap,n.tensorListMap)}case"While":case"StatelessWhile":{let a=k("body",e,t,n),r=k("cond",e,t,n),s=k("args",e,t,n),i=await n.functionMap[r].executeFunctionAsync(s,n.tensorArrayMap,n.tensorListMap),o=s.map(p=>p.id),l=await i[0].data();i.forEach(p=>{!p.kept&&o.indexOf(p.id)===-1&&p.dispose()});let u=s;for(;l[0];){let p=u;u=await n.functionMap[a].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);let d=u.map(h=>h.id);p.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()});let c=await n.functionMap[r].executeFunctionAsync(u,n.tensorArrayMap,n.tensorListMap);l=await c[0].data(),c.forEach(h=>{!h.kept&&o.indexOf(h.id)===-1&&d.indexOf(h.id)===-1&&h.dispose()})}return u}case"LoopCond":{let a=k("pred",e,t,n);return[Tr(a)]}case"Switch":{let a=k("pred",e,t,n),r=k("data",e,t,n);return r.kept||(r=Tr(r)),(await a.data())[0]?[void 0,r]:[r,void 0]}case"Merge":{let a=e.inputNames.find(r=>wn(r,t,n)!==void 0);if(a){let r=wn(a,t,n);return[Tr(r)]}return}case"Enter":{let a=k("frameName",e,t,n),r=k("tensor",e,t,n);return n.enterFrame(a),[Tr(r)]}case"Exit":{let a=k("tensor",e,t,n);return n.exitFrame(),[Tr(a)]}case"NextIteration":{let a=k("tensor",e,t,n);return n.nextIteration(),[Tr(a)]}case"TensorArrayV3":{let a=k("size",e,t,n),r=k("dtype",e,t,n),s=k("elementShape",e,t,n),i=k("dynamicSize",e,t,n),o=k("clearAfterRead",e,t,n),l=k("identicalElementShapes",e,t,n),u=k("name",e,t,n),p=new YH(u,r,a,s,l,i,o);return n.addTensorArray(p),[p.idTensor,xe(1)]}case"TensorArrayWriteV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.write(r,s),[i.idTensor]}case"TensorArrayReadV3":{let a=k("tensorArrayId",e,t,n),r=k("index",e,t,n);return[n.getTensorArray(a.id).read(r)]}case"TensorArrayGatherV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("dtype",e,t,n);return[n.getTensorArray(a.id).gather(r,s)]}case"TensorArrayScatterV3":{let a=k("tensorArrayId",e,t,n),r=k("indices",e,t,n),s=k("tensor",e,t,n),i=n.getTensorArray(a.id);return i.scatter(r,s),[i.idTensor]}case"TensorArrayConcatV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id),s=k("dtype",e,t,n);return[r.concat(s)]}case"TensorArraySplitV3":{let a=k("tensorArrayId",e,t,n),r=k("tensor",e,t,n),s=k("lengths",e,t,n),i=n.getTensorArray(a.id);return i.split(s,r),[i.idTensor]}case"TensorArraySizeV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return[xe(r.size(),"int32")]}case"TensorArrayCloseV3":{let a=k("tensorArrayId",e,t,n),r=n.getTensorArray(a.id);return r.clearAndClose(),[r.idTensor]}case"TensorListSetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("tensor",e,t,n),i=n.getTensorList(a.id);return i.setItem(r,s),[i.idTensor]}case"TensorListGetItem":{let a=k("tensorListId",e,t,n),r=k("index",e,t,n),s=k("elementShape",e,t,n),i=k("elementDType",e,t,n);return[n.getTensorList(a.id).getItem(r,s,i)]}case"TensorListScatterV2":case"TensorListScatter":{let a=k("indices",e,t,n),r=k("tensor",e,t,n),s=k("elementShape",e,t,n),i=k("numElements",e,t,n),o=QH(r,a,s,i);return n.addTensorList(o),[o.idTensor]}case"TensorListReserve":case"EmptyTensorList":{let a=k("elementShape",e,t,n),r=k("elementDType",e,t,n),s;e.op==="TensorListReserve"?s="numElements":s="maxNumElements";let i=k(s,e,t,n),o=e.op==="TensorListReserve"?-1:i,l=JH(a,r,i,o);return n.addTensorList(l),[l.idTensor]}case"TensorListGather":{let a=k("tensorListId",e,t,n),r=k("indices",e,t,n),s=k("elementShape",e,t,n),i=k("element
${e}`);let a;return this.size===1/0||this.size==null?a=this.size:t?a=Math.ceil(this.size/e):a=Math.floor(this.size/e),Kn(async()=>(await n.iterator()).columnMajorBatch(e,t,aj),a)}concatenate(e){let t=this,n;return this.size===1/0||e.size===1/0?n=1/0:this.size!=null&&e.size!=null?n=this.size+e.size:n=null,Kn(async()=>(await t.iterator()).concatenate(await e.iterator()),n)}filter(e){let t=this,n;return this.size===1/0?n=1/0:n=null,Kn(async()=>(await t.iterator()).filter(a=>P(()=>e(a))),n)}async forEachAsync(e){return(await this.iterator()).forEachAsync(e)}map(e){let t=this;return Kn(async()=>(await t.iterator()).map(n=>P(()=>e(n))),this.size)}mapAsync(e){let t=this;return Kn(async()=>(await t.iterator()).mapAsync(e),this.size)}prefetch(e){if(e==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");let t=this;return Kn(async()=>(await t.iterator()).prefetch(e),this.size)}repeat(e){let t=this,n;return this.size!=null&&e>0?n=this.size*e:e===0?n=0:this.size!=null&&(e===void 0||e<0)?n=1/0:n=null,Kn(async()=>{let a=C0(async()=>({value:await t.iterator(),done:!1}));return B6(a.take(e))},n)}skip(e){let t=this,n;return this.size!=null&&e>=0&&this.size>=e?n=this.size-e:this.size!=null&&(this.size<e||e===void 0||e<0)?n=0:n=null,Kn(async()=>(await t.iterator()).skip(e),n)}shuffle(e,t,n=!0){if(e==null||e<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError(`\`Dataset.shuffle()\` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for \`tf.Tensor\`s), consider setting bufferSize to the dataset size (${this.size} elements)`);let a=this,r=D6.alea(t||v.now().toString());return Kn(async()=>{let s=r.int32();return n&&(s+=r.int32()),(await a.iterator()).shuffle(e,s.toString())},this.size)}take(e){let t=this,n;return this.size!=null&&this.size>e?n=e:this.size!=null&&this.size<=e?n=this.size:n=null,Kn(async()=>(await t.iterator()).take(e),n)}async toArray(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArray()}async toArrayForTest(){if(this.size===1/0)throw new Error("Can not convert infinite data stream to array.");return(await this.iterator()).toArrayForTest()}};Pu.MAX_BUFFER_SIZE=1e4;function Kn(e,t=null){return new class extends Pu{constructor(){super(...arguments),this.size=t}async iterator(){return e()}}}function tj(e){return Kn(async()=>$2(e),e.length)}function nj(e){if(!bl(e))throw new Error("The argument to zip() must be an object or array.");let t;if(Array.isArray(e))for(let n=0;n<e.length;n++)t=t==null?e[n].size:Math.min(t,e[n].size);else if(e instanceof Object)for(let n in e)t=t==null?e[n].size:Math.min(t,e[n].size);return Kn(async()=>{let n=await _2(e,a=>{if(a instanceof Pu)return{value:a.iterator(),recurse:!1};if(bl(a))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")});return V6(n,Qr.SHORTEST)},t)}function aj(e){if(e===null)return null;let t=e[0];return O6(t)?{value:rj(e),recurse:!1}:{value:null,recurse:!0}}function rj(e){if(e.length===0)throw new Error("Can't make a batch of zero elements.");return e[0]instanceof Te?$t(e):mn(e)}var R2=class extends Pu{constructor(e){super(),this.input=e}async iterator(){return(await this.input.iterator()).decodeUTF8().split(`
`).map(e=>(e.endsWith("\r")&&(e=e.slice(0,-1)),e))}},Jd='"',Ep=Symbol("out"),Wk=Symbol("field"),Qd=Symbol("quote"),vb=Symbol("quoteafterquote"),Bk=Symbol("quoteinquote"),M2=class extends Pu{constructor(e,t){super(),this.input=e,this.hasHeader=!0,this.fullColumnNames=null,this.columnNamesValidated=!1,this.columnConfigs=null,this.configuredColumnsOnly=!1,this.delimiter=",",this.delimWhitespace=!1,this.base=new R2(e),t||(t={}),this.hasHeader=t.hasHeader!==!1,this.fullColumnNames=t.columnNames,this.columnConfigs=t.columnConfigs,this.configuredColumnsOnly=t.configuredColumnsOnly,t.delimWhitespace?(v.assert(t.delimiter==null,()=>"Delimiter should not be provided when delimWhitespace is true."),this.delimWhitespace=!0,this.delimiter=" "):this.delimiter=t.delimiter?t.delimiter:","}async columnNames(){return this.columnNamesValidated||await this.setColumnNames(),this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames}async setColumnNames(){let e=await this.maybeReadHeaderLine();if(!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");this.fullColumnNames&&e&&v.assert(e.length===this.fullColumnNames.length,()=>"The length of provided columnNames ("+this.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."),this.fullColumnNames||(this.fullColumnNames=e);let t=this.fullColumnNames.reduce((a,r)=>(a[r]=a[r]+1||1,a),{}),n=Object.keys(t).filter(a=>t[a]>1);if(v.assert(n.length===0,()=>"Duplicate column names found: "+n.toString()),this.columnConfigs){for(let a of Object.keys(this.columnConfigs))if(this.fullColumnNames.indexOf(a)===-1)throw new Error('The key "'+a+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}this.columnNamesValidated=!0}async maybeReadHeaderLine(){if(this.hasHeader){let e=await(await this.base.iterator()).next();if(e.done)throw new Error("No data was found for CSV parsing.");let t=e.value;return this.parseRow(t,!1)}else return null}async iterator(){this.columnNamesValidated||await this.setColumnNames();let e=await this.base.iterator();return this.hasHeader&&(e=e.skip(1)),e.map(t=>this.makeDataElement(t))}makeDataElement(e){let t=this.parseRow(e),n={},a={};for(let r=0;r<this.fullColumnNames.length;r++){let s=this.fullColumnNames[r],i=this.columnConfigs?this.columnConfigs[s]:null;if(!(this.configuredColumnsOnly&&!i)){let o=t[r],l=null;if(o==="")if(i&&i.default!==void 0)l=i.default;else{if(i&&(i.required||i.isLabel))throw new Error(`Required column ${s} is empty in this line: ${e}`);l=void 0}else{let u=Number(o);if(isNaN(u))i&&i.dtype==="bool"?l=this.getBoolean(o):l=o;else if(!i||!i.dtype)l=u;else switch(i.dtype){case"float32":l=u;break;case"int32":l=Math.floor(u);break;case"bool":l=this.getBoolean(o);break;default:l=u}}i&&i.isLabel?a[s]=l:n[s]=l}}return Object.keys(a).length===0?n:{xs:n,ys:a}}getBoolean(e){return e==="1"||e.toLowerCase()==="true"?1:0}parseRow(e,t=!0){let n=[],a=0,r=e.length,s=Ep;for(let i=0;i<r;i++)switch(s){case Ep:switch(e.charAt(i)){case Jd:a=i+1,s=Qd;break;case this.delimiter:if(a=i+1,this.delimiter===" "&&this.delimWhitespace)break;n.push(""),s=Ep;break;default:s=Wk,a=i;break}break;case Wk:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(a,i)),s=Ep,a=i+1;break;default:}break;case Qd:switch(e.charAt(i)){case Jd:s=vb;break;default:}break;case vb:switch(e.charAt(i)){case this.delimiter:n.push(e.substring(a,i-1)),s=Ep,a=i+1;break;case Jd:s=Qd;break;default:s=Bk;break}break;case Bk:switch(e.charAt(i)){case Jd:s=Qd;break;default:}break;default:}if(s===vb?n.push(e.substring(a,r-1)):n.push(e.substring(a)),t&&n.length!==this.fullColumnNames.length)throw new Error(`Invalid row in csv file. Should have ${this.fullColumnNames.length} elements in a row, but got ${n}`);return n}},P2=class extends nn{constructor(e){super(),this.microphoneConfig=e,this.isClosed=!1,this.fftSize=e.fftSize||1024;let t=Math.log2(this.fftSize);if(this.fftSize<0||t<4||t>14||!Number.isInteger(t))throw new Error(`Invalid fftSi
2022-10-18 13:23:49 +02:00
============================
Hi, looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, visit https://github.com/tensorflow/tfjs-node for more details.
2022-12-01 20:56:40 +01:00
============================`));let a={id:this.nextDataId()};return this.data.set(a,{values:e,dtype:n,refCount:1}),a}makeTensorInfo(e,t,n){let a;if(t==="string"&&n!=null&&n.length>0&&v.isString(n[0])){let r=n.map(s=>v.encodeString(s));a=this.write(r,e,t)}else a=this.write(n,e,t);return{dataId:a,shape:e,dtype:t}}refCount(e){return this.data.has(e)?this.data.get(e).refCount:0}incRef(e){let t=this.data.get(e);t.refCount++}decRef(e){if(this.data.has(e)){let t=this.data.get(e);t.refCount--}}move(e,t,n,a,r){this.data.set(e,{values:t,dtype:a,refCount:r})}numDataIds(){return this.data.numDataIds()}async read(e){return this.readSync(e)}readSync(e){let{dtype:t,complexTensorInfos:n}=this.data.get(e);if(t==="complex64"){let a=this.readSync(n.real.dataId),r=this.readSync(n.imag.dataId);return N.mergeRealAndImagArrays(a,r)}return this.data.get(e).values}bufferSync(e){let t=this.readSync(e.dataId);if(e.dtype==="string")try{let n=t.map(a=>v.decodeString(a));return Pe(e.shape,e.dtype,n)}catch(n){throw new Error("Failed to decode encoded string bytes into utf-8")}return Pe(e.shape,e.dtype,t)}makeOutput(e,t,n){return Ca().makeTensorFromTensorInfo(this.makeTensorInfo(t,n,e),this)}disposeData(e,t=!1){if(this.data.has(e)){if(this.data.get(e).refCount--,!t&&this.data.get(e).refCount>0)return!1;let{complexTensorInfos:n}=this.data.get(e);n!=null&&(this.disposeData(n.real.dataId,!0),this.disposeData(n.imag.dataId,!0)),this.data.delete(e)}return!0}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}async time(e){let t=v.now();return e(),{kernelMs:v.now()-t}}memory(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}}where(e){ge([e],"where");let t=this.readSync(e.dataId);return bj(e.shape,t)}dispose(){}floatPrecision(){return 32}epsilon(){return super.epsilon()}};_0.nextDataId=0;var G2={};Ae(G2,{addImpl:()=>q2,bincountImpl:()=>$0,bincountReduceImpl:()=>K2,castImpl:()=>j2,ceilImpl:()=>X2,concatImpl:()=>F0,equalImpl:()=>Y2,expImpl:()=>J2,expm1Impl:()=>eC,floorImpl:()=>tC,gatherNdImpl:()=>nC,gatherV2Impl:()=>aC,greaterEqualImpl:()=>sC,greaterImpl:()=>rC,lessEqualImpl:()=>oC,lessImpl:()=>iC,linSpaceImpl:()=>lC,logImpl:()=>uC,maxImpl:()=>pC,maximumImpl:()=>cC,minimumImpl:()=>dC,multiplyImpl:()=>D0,negImpl:()=>hC,notEqualImpl:()=>mC,prodImpl:()=>fC,raggedGatherImpl:()=>gC,raggedRangeImpl:()=>yC,raggedTensorToTensorImpl:()=>bC,rangeImpl:()=>M0,rsqrtImpl:()=>xC,scatterImpl:()=>el,sigmoidImpl:()=>dq,simpleAbsImpl:()=>H2,sliceImpl:()=>Lh,sparseFillEmptyRowsImpl:()=>wC,sparseReshapeImpl:()=>kC,sparseSegmentReductionImpl:()=>P0,sqrtImpl:()=>fq,squaredDifferenceImpl:()=>IC,stridedSliceImpl:()=>SC,stringNGramsImpl:()=>O0,stringSplitImpl:()=>L0,stringToHashBucketFastImpl:()=>z0,subImpl:()=>TC,tileImpl:()=>NC,topKImpl:()=>EC,transposeImpl:()=>R0,uniqueImpl:()=>_C});function H2(e){let t=new Float32Array(e.length);for(let n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var xj=e=>{let{x:t}=e.inputs,n=e.backend;ge(t,"abs");let a=new Float32Array(v.sizeFromShape(t.shape)),r=n.data.get(t.dataId).values;return a=H2(r),n.makeOutput(a,t.shape,t.dtype)},vj={kernelName:Sl,backendName:"cpu",kernelFunc:xj};function Vt(e){return(t,n,a,r,s)=>{let i=N.assertAndGetBroadcastShape(t,n),o=i.length,l=v.computeStrides(i),u=v.sizeFromShape(i),p=v.getTypedArrayFromDType(s,u),d=t.length,c=n.length,h=v.computeStrides(t),m=v.computeStrides(n),f=N.getBroadcastDims(t,i),g=N.getBroadcastDims(n,i);if(f.length+g.length===0)for(let y=0;y<p.length;++y)p[y]=e(a[y%a.length],r[y%r.length]);else for(let y=0;y<p.length;++y){let b=v.indexToLoc(y,o,l),x=b.slice(-d);f.forEach(C=>x[C]=0);let w=v.locToIndex(x,d,h),I=b.slice(-c);g.forEach(C=>I[C]=0);let T=v.locToIndex(I,c,m);p[y]=e(a[w],r[T])}return[p,i]}}function Yn(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.data.get(a.dataId).values,i=n.data.get(r.dataId).values,o=n.makeTensorInfo(a.shape,"complex64"),l=n.data.get(o.dataId);return l.complexTensorInfos={real:n.makeTensorInfo(a.shape,"float32",s),imag:n.makeTensorInfo(r.shape,"float32",i)},o}var
2022-10-18 13:23:49 +02:00
${s.shape}`);if(a.shape.length!==2)throw new Error(`Indices must be a matrix, saw:
${a.shape}`);if(r.shape.length!==1)throw new Error(`Values must be a vector, saw:
${r.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw:
2022-12-01 20:56:40 +01:00
${i.shape}`);let o=n.data.get(a.dataId).values,l=n.data.get(r.dataId).values,u=n.data.get(s.dataId).values,p=n.data.get(i.dataId).values[0],[d,c,h,m,f]=wC(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var XX={kernelName:fc,backendName:"cpu",kernelFunc:KX};function YX(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape
2022-10-18 13:23:49 +02:00
${a.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape
2022-12-01 20:56:40 +01:00
${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.data.get(r.dataId).values),o=n.data.get(a.dataId).values,l=Array.from(n.data.get(s.dataId).values),[u,p,d]=kC(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var ZX={kernelName:xu,backendName:"cpu",kernelFunc:YX};function JX(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape
2022-10-18 13:23:49 +02:00
${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
2022-12-01 20:56:40 +01:00
${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=P0(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var QX={kernelName:gc,backendName:"cpu",kernelFunc:JX};function eY(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape
2022-10-18 13:23:49 +02:00
${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
2022-12-01 20:56:40 +01:00
${s.shape}`);if(r.shape[0]!==s.shape[0])throw new Error("segmentIds and indices should have same size.");let i=n.data.get(a.dataId).values,o=n.data.get(r.dataId).values,l=n.data.get(s.dataId).values,[u,p]=P0(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var tY={kernelName:yc,backendName:"cpu",kernelFunc:eY};function nY(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1,m=n.bufferSync(r),f;switch(s.dtype){case"bool":{let g=n.bufferSync(s),y=Boolean(n.data.get(i.dataId).values[0]);f=el(m,g,o,c,p,u,l,d,y,h);break}case"float32":{let g=n.bufferSync(s),y=n.data.get(i.dataId).values[0];f=el(m,g,o,c,p,u,l,d,y,h);break}case"int32":{let g=n.bufferSync(s),y=n.data.get(i.dataId).values[0];f=el(m,g,o,c,p,u,l,d,y,h);break}case"string":{let g=n.bufferSync(s),y=v.decodeString(n.data.get(i.dataId).values[0]);f=el(m,g,o,c,p,u,l,d,y,h);break}default:throw new Error(`Unsupported type ${s.dtype}`)}return n.makeTensorInfo(o,f.dtype,f.values)}var aY={kernelName:Nm,backendName:"cpu",kernelFunc:nY};function rY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=hi({inputs:{x:r},backend:n,attrs:{begin:u,size:c}});return u[o]+=d,h})}var sY={kernelName:bu,backendName:"cpu",kernelFunc:rY},iY={kernelName:bc,backendName:"cpu",kernelFunc:({inputs:e,backend:t})=>{let{x:n}=e,a=t;ge(n,"square");let r=a.data.get(n.dataId).values,s=new Float32Array(r.length);for(let i=0;i<r.length;++i){let o=r[i];s[i]=o*o}return{dataId:a.write(s,n.shape,n.dtype),shape:n.shape,dtype:n.dtype}}},oY=rt(bs,(e,t)=>{let n=t;return isNaN(e)?NaN:e>0?1:n.alpha}),lY={kernelName:bs,backendName:"cpu",kernelFunc:oY};function uY(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a;ge(r,"stridedSlice");let{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=ft({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=Kt.computeOutShape(b,x,w),C=hi({inputs:{x:r},backend:n,attrs:{begin:b,size:T}});I=ft({inputs:{x:C},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(C)}else{let T=n.bufferSync(r),C=SC(h,T,w,b);I=n.makeTensorInfo(m,C.dtype,C.values)}return I}var pY={kernelName:vu,backendName:"cpu",kernelFunc:uY};function cY(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.data.get(p.dataId).values,h=n.data.get(d.dataId).values,[m,f]=O0(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var dY={kernelName:xc,backendName:"cpu",kernelFunc:cY};function hY(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.data.get(s.dataId).values,l=n.data.get(i.dataId).values[0],[u,p,d]=L0(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var mY={kernelName:vc,backendName:"cpu",kernelFunc:hY};function fY(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.data.get(s.dataId).values,o=z0(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var gY={kernelName:wc,backendName:"cpu",kernelFunc:fY},yY=rt(go,e=>Math.tan(e)),bY=
2022-10-18 13:23:49 +02:00
`),s=r.length.toString().length+2,i=r.map((d,c)=>v.rightPad((c+1).toString(),s)+d),o=0;for(let d=0;d<i.length;d++)o=Math.max(i[d].length,o);let l=i.slice(0,a-1),u=i.slice(a-1,a),p=i.slice(a);console.log(l.join(`
`)),console.log(t.split(`
`)[0]),console.log(`%c ${v.rightPad(u[0],o)}`,"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(p.join(`
2022-12-01 20:56:40 +01:00
`))}function JC(e){return Rr(e,()=>e.createProgram(),"Unable to create WebGLProgram.")}function QC(e,t){if(ce(e,()=>e.linkProgram(t)),!H().get("ENGINE_COMPILE_ONLY")&&e.getProgramParameter(t,e.LINK_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function oh(e,t){if(ce(e,()=>e.validateProgram(t)),e.getProgramParameter(t,e.VALIDATE_STATUS)===!1)throw console.log(e.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function eE(e,t){let n=Rr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ce(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),ce(e,()=>e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function tE(e,t){let n=Rr(e,()=>e.createBuffer(),"Unable to create WebGLBuffer");return ce(e,()=>e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)),ce(e,()=>e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)),n}function KY(){return H().getNumber("WEBGL_VERSION")===2?1:4}function nE(e){return Rr(e,()=>e.createTexture(),"Unable to create WebGLTexture.")}function aE(e,t){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0){let a=`[${e}x${t}]`;throw new Error("Requested texture size "+a+" is invalid.")}if(e>n||t>n){let a=`[${e}x${t}]`,r=`[${n}x${n}]`;throw new Error("Requested texture size "+a+" greater than WebGL maximum on this browser / GPU "+r+".")}}function rE(e){return Rr(e,()=>e.createFramebuffer(),"Unable to create WebGLFramebuffer.")}function px(e,t,n,a,r,s,i){let o=e.getAttribLocation(t,n);return o===-1?!1:(ce(e,()=>e.bindBuffer(e.ARRAY_BUFFER,a)),ce(e,()=>e.vertexAttribPointer(o,r,e.FLOAT,!1,s,i)),ce(e,()=>e.enableVertexAttribArray(o)),!0)}function sE(e,t,n){pE(e,n),ce(e,()=>e.activeTexture(e.TEXTURE0+n)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,t))}function XY(e,t){pE(e,t),ce(e,()=>e.activeTexture(e.TEXTURE0+t)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function iE(e,t,n){return Rr(e,()=>e.getUniformLocation(t,n),'uniform "'+n+'" not present in program.')}function oE(e,t,n){return e.getUniformLocation(t,n)}function lE(e,t,n,a){ce(e,()=>sE(e,t,a)),ce(e,()=>e.uniform1i(n,a))}function YY(e){ce(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,null)),ce(e,()=>e.viewport(0,0,e.canvas.width,e.canvas.height)),ce(e,()=>e.scissor(0,0,e.canvas.width,e.canvas.height))}function lh(e,t,n){ce(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,n)),ce(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0))}function cx(e,t){ce(e,()=>e.bindFramebuffer(e.FRAMEBUFFER,t)),ce(e,()=>e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,null,0))}function Mp(e){let t=e.checkFramebufferStatus(e.FRAMEBUFFER);if(t!==e.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+uE(e,t))}function uE(e,t){switch(t){case e.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case e.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case e.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return`unknown error ${t}`}}function Rr(e,t,n){let a=ce(e,()=>t());if(a==null)throw new Error(n);return a}function pE(e,t){let n=e.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,a=t+e.TEXTURE0;if(a<e.TEXTURE0||a>n){let r=`[gl.TEXTURE0, gl.TEXTURE${n}]`;throw new Error(`textureUnit must be in ${r}.`)}}function mi(e,t=2){return v.sizeFromShape(e.slice(0,e.length-t))}function fi(e){if(e.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[e.length>1?e[e.length-2]:1,e[e.length-1]]}function Pp(e){let t=[1,1,1];return e.length===0||e.length===1&&e[0]===1||(t=[mi(e),...fi(e)]),t}function cE(e,t=!1){let n=H().getNumber("WEBGL_MAX_TEXTURE_SIZE"),a=H().getNumber("WEBGL_MAX_SIZE_FOR_NARROW_TEXTURE");a===1/0&&H().getBool("WEBGL_AUTO_SQUARIFY_NARROW_TEXTURE_SHAPE")&&(a=n/2),t&&(n=n*2,a=a*2,e=e.map((o,l)=>l>=e.length-2?v.nearestLargerEven(e[l]):e[l]),e.length===1&&(e=[2,e[0]])),e.length!==2&&(e=v.squeezeShape(e).newShape);let r=v.sizeFromShape(e),s=null;e.length<=1&&r<=n?s=[1,r]:e.length===2&&e[0]<=n&&e[1]
2022-10-18 13:23:49 +02:00
bool isnan_custom(float val) {
uint floatToUint = floatBitsToUint(val);
return (floatToUint & 0x7fffffffu) > 0x7f800000u;
2021-06-04 14:54:48 +02:00
}
2022-10-18 13:23:49 +02:00
bvec4 isnan_custom(vec4 val) {
return bvec4(isnan_custom(val.x),
isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
#define isnan(value) isnan_custom(value)
`:"",l="",u=`
#define round(value) newRound(value)
int newRound(float value) {
return int(floor(value + 0.5));
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
ivec4 newRound(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
`):(e="",t="attribute",n="varying",a="varying",r="texture2D",s="gl_FragColor",i="",o=`
#define isnan(value) isnan_custom(value)
bool isnan_custom(float val) {
return (val > 0. || val < 1. || val == 0.) ? false : true;
2020-12-15 14:15:43 +01:00
}
2022-10-18 13:23:49 +02:00
bvec4 isnan_custom(vec4 val) {
return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));
2021-04-01 19:39:54 +02:00
}
2022-10-18 13:23:49 +02:00
`,l=`
uniform float INFINITY;
bool isinf(float val) {
return abs(val) == INFINITY;
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
bvec4 isinf(vec4 val) {
return equal(abs(val), vec4(INFINITY));
2021-04-01 19:39:54 +02:00
}
2022-10-18 13:23:49 +02:00
`,u=`
int round(float value) {
return int(floor(value + 0.5));
2021-04-01 19:39:54 +02:00
}
2022-10-18 13:23:49 +02:00
ivec4 round(vec4 value) {
return ivec4(floor(value + vec4(0.5)));
2020-10-12 20:28:19 +02:00
}
2022-12-01 20:56:40 +01:00
`),{version:e,attribute:t,varyingVs:n,varyingFs:a,texture2D:r,output:s,defineOutput:i,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function To(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / ${r}`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * ${r}`:`index -= ${e[s]} * ${r}`;return`${i}; ${o};`}).join("")}function Rf(e,t,n="index"){let a=v.computeStrides(t);return a.map((r,s)=>{let i=`int ${e[s]} = ${n} / outShapeStrides[${s}]`,o=s===a.length-1?`int ${e[s+1]} = ${n} - ${e[s]} * outShapeStrides[${s}]`:`index -= ${e[s]} * outShapeStrides[${s}]`;return`${i}; ${o};`}).join("")}function eZ(e,t){let n=e.length,a=e.map(s=>`${t}[${s}]`),r=new Array(n-1);r[n-2]=a[n-1];for(let s=n-3;s>=0;--s)r[s]=`(${r[s+1]} * ${a[s+1]})`;return r}function tZ(e,t,n="index"){let a=e.map((s,i)=>i),r=eZ(a,t);return r.map((s,i)=>{let o=`int ${e[i]} = ${n} / ${r[i]}`,l=i===r.length-1?`int ${e[i+1]} = ${n} - ${e[i]} * ${r[i]}`:`index -= ${e[i]} * ${r[i]}`;return`${o}; ${l};`}).join("")}function j0(e){let t=v.computeStrides(e).map(n=>n.toString());return`
2022-10-18 13:23:49 +02:00
int getFlatIndex(ivec3 coords) {
return coords.x * ${t[0]} + coords.y * ${t[1]} + coords.z;
}
2022-12-01 20:56:40 +01:00
`}function q0(){return`
2022-10-18 13:23:49 +02:00
int getFlatIndex(ivec3 coords) {
return coords.x * outShapeStrides[0] + coords.y * outShapeStrides[1] + coords.z;
}
2022-12-01 20:56:40 +01:00
`}var bE=`
2022-10-18 13:23:49 +02:00
const float FLOAT_MAX = 1.70141184e38;
const float FLOAT_MIN = 1.17549435e-38;
lowp vec4 encode_float(highp float v) {
if (isnan(v)) {
return vec4(255, 255, 255, 255);
}
highp float av = abs(v);
if(av < FLOAT_MIN) {
return vec4(0.0, 0.0, 0.0, 0.0);
} else if(v > FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;
} else if(v < -FLOAT_MAX) {
return vec4(0.0, 0.0, 128.0, 255.0) / 255.0;
}
highp vec4 c = vec4(0,0,0,0);
highp float e = floor(log2(av));
highp float m = exp2(fract(log2(av))) - 1.0;
c[2] = floor(128.0 * m);
m -= c[2] / 128.0;
c[1] = floor(32768.0 * m);
m -= c[1] / 32768.0;
c[0] = floor(8388608.0 * m);
highp float ebias = e + 127.0;
c[3] = floor(ebias / 2.0);
ebias -= c[3] * 2.0;
c[2] += floor(ebias) * 128.0;
c[3] += 128.0 * step(0.0, -v);
return c / 255.0;
}
2022-12-01 20:56:40 +01:00
`,{getBroadcastDims:xE}=N;function nZ(e,t,n){let a=[];if(e.forEach(c=>{let h=v.sizeFromShape(c.shapeInfo.logicalShape);if(c.shapeInfo.isUniform?a.push(`uniform float ${c.name}${h>1?`[${h}]`:""};`):(a.push(`uniform sampler2D ${c.name};`),a.push(`uniform int offset${c.name};`)),n.enableShapeUniforms){let{uniformShape:m}=K0(n.packedInputs,c.shapeInfo.logicalShape,c.shapeInfo.texShape);switch(m.length){case 1:a.push(`uniform int ${c.name}Shape;`);break;case 2:a.push(`uniform ivec2 ${c.name}Shape;`);break;case 3:a.push(`uniform ivec3 ${c.name}Shape;`);break;case 4:a.push(`uniform ivec4 ${c.name}Shape;`);break;default:break}a.push(`uniform ivec2 ${c.name}TexShape;`)}}),n.enableShapeUniforms){switch(t.logicalShape.length){case 1:a.push("uniform int outShape;");break;case 2:a.push("uniform ivec2 outShape;"),a.push("uniform int outShapeStrides;");break;case 3:a.push("uniform ivec3 outShape;"),a.push("uniform ivec2 outShapeStrides;");break;case 4:a.push("uniform ivec4 outShape;"),a.push("uniform ivec3 outShapeStrides;");break;default:break}a.push("uniform ivec2 outTexShape;")}n.customUniforms&&n.customUniforms.forEach(c=>{a.push(`uniform ${c.type} ${c.name}${c.arrayIndex?`[${c.arrayIndex}]`:""};`)});let r=a.join(`
`),s=e.map(c=>aZ(c,t,n.packedInputs,n.enableShapeUniforms)).join(`
`),i=t.texShape,o=Cn(),l=iZ(o),u,p,d=uZ(o);return t.isPacked?(u=rZ(t.logicalShape,i,n.enableShapeUniforms),p=lZ(o)):(u=sZ(t.logicalShape,i,n.enableShapeUniforms),p=oZ(o)),n.packedInputs&&(d+=hZ),[d,l,p,r,u,s,n.userCode].join(`
`)}function Wu(e,t=!1){let n=e.shapeInfo.logicalShape;switch(n.length){case 0:return TZ(e,t);case 1:return CZ(e,t);case 2:return _Z(e,t);case 3:return $Z(e,t);case 4:return DZ(e,t);case 5:return RZ(e);case 6:return MZ(e);default:throw new Error(`${n.length}-D input sampling is not yet supported`)}}function vE(e,t){switch(e.shapeInfo.logicalShape.length){case 0:return SZ(e);case 1:return NZ(e,t);case 2:return EZ(e,t);case 3:return AZ(e,t);default:return FZ(e,t)}}function aZ(e,t,n=!1,a){let r="";n?r+=vE(e,a):r+=Wu(e,a);let s=e.shapeInfo.logicalShape,i=t.logicalShape;return s.length<=i.length&&(n?r+=PZ(e,t):r+=OZ(e,t)),r}function rZ(e,t,n){switch(e.length){case 0:return wE();case 1:return mZ(e,t,n);case 2:return kZ(e,t,n);case 3:return gZ(e,t,n);default:return bZ(e,t,n)}}function sZ(e,t,n){switch(e.length){case 0:return wE();case 1:return fZ(e,t,n);case 2:return IZ(e,t,n);case 3:return yZ(e,t,n);case 4:return xZ(e,t,n);case 5:return vZ(e,t);case 6:return wZ(e,t);default:throw new Error(`${e.length}-D output sampling is not yet supported`)}}function iZ(e){return`
2022-10-18 13:23:49 +02:00
float sampleTexture(sampler2D textureSampler, vec2 uv) {
return ${e.texture2D}(textureSampler, uv).r;
}
2022-12-01 20:56:40 +01:00
`}function oZ(e){return`
2022-10-18 13:23:49 +02:00
void setOutput(float val) {
${e.output} = vec4(val, 0, 0, 0);
}
2022-12-01 20:56:40 +01:00
`}function lZ(e){return`
2022-10-18 13:23:49 +02:00
void setOutput(vec4 val) {
${e.output} = val;
}
2022-12-01 20:56:40 +01:00
`}function uZ(e){return`${e.version}
2022-10-18 13:23:49 +02:00
precision highp float;
precision highp int;
precision highp sampler2D;
${e.varyingFs} vec2 resultUV;
${e.defineOutput}
const vec2 halfCR = vec2(0.5, 0.5);
struct ivec5
{
int x;
int y;
int z;
int w;
int u;
2022-10-18 13:10:36 +02:00
};
2022-10-18 13:23:49 +02:00
struct ivec6
{
int x;
int y;
int z;
int w;
int u;
int v;
2022-10-18 13:10:36 +02:00
};
2022-10-18 13:23:49 +02:00
uniform float NAN;
${e.defineSpecialNaN}
${e.defineSpecialInf}
${e.defineRound}
int imod(int x, int y) {
return x - y * (x / y);
}
int idiv(int a, int b, float sign) {
int res = a / b;
int mod = imod(a, b);
if (sign < 0. && mod != 0) {
res -= 1;
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
return res;
}
//Based on the work of Dave Hoskins
//https://www.shadertoy.com/view/4djSRW
#define HASHSCALE1 443.8975
float random(float seed){
vec2 p = resultUV * seed;
vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);
p3 += dot(p3, p3.yzx + 19.19);
return fract((p3.x + p3.y) * p3.z);
}
2022-12-01 20:56:40 +01:00
${pZ}
${cZ}
${dZ}
`}var pZ=`
2022-10-18 13:23:49 +02:00
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);
}
2022-12-01 20:56:40 +01:00
`,cZ=`
2022-10-18 13:23:49 +02:00
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);
}
2022-12-01 20:56:40 +01:00
`,dZ=`
2022-10-18 13:23:49 +02:00
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);
}
2022-12-01 20:56:40 +01:00
`,hZ=`
2022-10-18 13:23:49 +02:00
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);
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
float getChannel(vec4 frag, int dim) {
float modCoord = mod(float(dim), 2.);
return modCoord == 0. ? frag.r : frag.g;
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`;function wE(){return`
2022-10-18 13:23:49 +02:00
int getOutputCoords() {
return 0;
}
2022-12-01 20:56:40 +01:00
`}function mZ(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return a[0]===1?n?`
2022-10-18 13:23:49 +02:00
int getOutputCoords() {
return 2 * int(resultUV.x * ceil(float(outTexShape[1]) / 2.0));
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
`:`
int getOutputCoords() {
return 2 * int(resultUV.x * ${a[1]}.0);
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
`:a[1]===1?n?`
int getOutputCoords() {
return 2 * int(resultUV.y * ceil(float(outTexShape[0]) / 2.0));
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
`:`
int getOutputCoords() {
return 2 * int(resultUV.y * ${a[0]}.0);
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
`:n?`
int getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
return 2 * (resTexRC.x * packedTexShape[1] + resTexRC.y);
}
`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${a[0]}, ${a[1]}));
return 2 * (resTexRC.x * ${a[1]} + resTexRC.y);
}
2022-12-01 20:56:40 +01:00
`}function fZ(e,t,n){return t[0]===1?n?`
2022-10-18 13:23:49 +02:00
int getOutputCoords() {
return int(resultUV.x * float(outTexShape[1]));
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
`:`
int getOutputCoords() {
return int(resultUV.x * ${t[1]}.0);
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
`:t[1]===1?n?`
int getOutputCoords() {
return int(resultUV.y * float(outTexShape[0]));
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
`:`
int getOutputCoords() {
return int(resultUV.y * ${t[0]}.0);
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
`:n?`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
return resTexRC.x * outTexShape[1] + resTexRC.y;
}
`:`
int getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
return resTexRC.x * ${t[1]} + resTexRC.y;
}
2022-12-01 20:56:40 +01:00
`}function gZ(e,t,n){if(n)return`
2022-10-18 13:23:49 +02:00
ivec3 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
int texelsInLogicalRow = int(ceil(float(outShape[2]) / 2.0));
int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int b = index / texelsInBatch;
index -= b * texelsInBatch;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
return ivec3(b, r, c);
}
`;let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),s=r*Math.ceil(e[1]/2);return`
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${a[0]}, ${a[1]}));
int index = resTexRC.x * ${a[1]} + resTexRC.y;
int b = index / ${s};
index -= b * ${s};
int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
return ivec3(b, r, c);
}
2022-12-01 20:56:40 +01:00
`}function yZ(e,t,n){if(n)return`
2022-10-18 13:23:49 +02:00
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
2022-12-01 20:56:40 +01:00
${Rf(["r","c","d"],e)}
2022-10-18 13:23:49 +02:00
return ivec3(r, c, d);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`;let a=To(["r","c","d"],e);return`
2022-10-18 13:23:49 +02:00
ivec3 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${a}
return ivec3(r, c, d);
}
2022-12-01 20:56:40 +01:00
`}function bZ(e,t,n){if(n)return`
2022-10-18 13:23:49 +02:00
ivec4 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int texelsInLogicalRow = int(ceil(float(outShape[3]) / 2.0));
int texelsInBatch = texelsInLogicalRow * int(ceil(float(outShape[2]) / 2.0));
int texelsInBatchN = texelsInBatch * outShape[1];
int b2 = index / texelsInBatchN;
index -= b2 * texelsInBatchN;
int b = index / texelsInBatch;
index -= b * texelsInBatch;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
return ivec4(b2, b, r, c);
}
`;let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),s=r*Math.ceil(e[e.length-2]/2),i=s,o="",l="b, r, c";for(let u=2;u<e.length-1;u++)i*=e[e.length-u-1],o=`
int b${u} = index / ${i};
index -= b${u} * ${i};
`+o,l=`b${u}, `+l;return`
ivec${e.length} getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${a[0]}, ${a[1]}));
int index = resTexRC.x * ${a[1]} + resTexRC.y;
${o}
int b = index / ${s};
index -= b * ${s};
int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
return ivec${e.length}(${l});
}
2022-12-01 20:56:40 +01:00
`}function xZ(e,t,n){if(n)return`
2022-10-18 13:23:49 +02:00
ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
2022-12-01 20:56:40 +01:00
${Rf(["r","c","d","d2"],e)}
2022-10-18 13:23:49 +02:00
return ivec4(r, c, d, d2);
}
2022-12-01 20:56:40 +01:00
`;let a=To(["r","c","d","d2"],e);return`
2022-10-18 13:23:49 +02:00
ivec4 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${a}
return ivec4(r, c, d, d2);
}
2022-12-01 20:56:40 +01:00
`}function vZ(e,t){let n=To(["r","c","d","d2","d3"],e);return`
2022-10-18 13:23:49 +02:00
ivec5 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(${t[0]},
${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
ivec5 outShape = ivec5(r, c, d, d2, d3);
return outShape;
}
2022-12-01 20:56:40 +01:00
`}function wZ(e,t){let n=To(["r","c","d","d2","d3","d4"],e);return`
2022-10-18 13:23:49 +02:00
ivec6 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
${n}
ivec6 result = ivec6(r, c, d, d2, d3, d4);
return result;
}
2022-12-01 20:56:40 +01:00
`}function kZ(e,t,n){let a=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(v.arraysEqual(e,t))return n?`
2022-10-18 13:23:49 +02:00
ivec2 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
return 2 * ivec2(resultUV.yx * vec2(packedTexShape[0], packedTexShape[1]));
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
`:`
ivec2 getOutputCoords() {
return 2 * ivec2(resultUV.yx * vec2(${a[0]}, ${a[1]}));
2021-04-01 19:39:54 +02:00
}
2022-10-18 13:23:49 +02:00
`;let r=Math.ceil(e[1]/2);return n?`
ivec2 getOutputCoords() {
ivec2 packedTexShape = ivec2(ceil(float(outTexShape[0]) / 2.0), ceil(float(outTexShape[1]) / 2.0));
int texelsInLogicalRow = int(ceil(float(outShape[1]) / 2.0));
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(packedTexShape[0], packedTexShape[1]));
int index = resTexRC.x * packedTexShape[1] + resTexRC.y;
int r = 2 * (index / texelsInLogicalRow);
int c = imod(index, texelsInLogicalRow) * 2;
return ivec2(r, c);
}
`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${a[0]}, ${a[1]}));
int index = resTexRC.x * ${a[1]} + resTexRC.y;
int r = 2 * (index / ${r});
int c = imod(index, ${r}) * 2;
return ivec2(r, c);
}
2022-12-01 20:56:40 +01:00
`}function IZ(e,t,n){return v.arraysEqual(e,t)?n?`
2022-10-18 13:23:49 +02:00
ivec2 getOutputCoords() {
return ivec2(resultUV.yx * vec2(outTexShape[0], outTexShape[1]));
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
`:`
ivec2 getOutputCoords() {
return ivec2(resultUV.yx * vec2(${t[0]}, ${t[1]}));
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
`:e[1]===1?n?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
return ivec2(index, 0);
2020-12-15 14:15:43 +01:00
}
2022-10-18 13:23:49 +02:00
`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
return ivec2(index, 0);
2020-12-15 14:15:43 +01:00
}
2022-10-18 13:23:49 +02:00
`:e[0]===1?n?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
return ivec2(0, index);
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
return ivec2(0, index);
2020-10-12 20:28:19 +02:00
}
2022-10-18 13:23:49 +02:00
`:n?`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(outTexShape[0], outTexShape[1]));
int index = resTexRC.x * outTexShape[1] + resTexRC.y;
int r = index / outShape[1];
int c = index - r * outShape[1];
return ivec2(r, c);
}
`:`
ivec2 getOutputCoords() {
ivec2 resTexRC = ivec2(resultUV.yx *
vec2(${t[0]}, ${t[1]}));
int index = resTexRC.x * ${t[1]} + resTexRC.y;
int r = index / ${e[1]};
int c = index - r * ${e[1]};
return ivec2(r, c);
}
2022-12-01 20:56:40 +01:00
`}function No(e){return`offset${e}`}function SZ(e){let t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),a=Cn();return`
2022-10-18 13:23:49 +02:00
vec4 ${n}() {
return ${a.texture2D}(${t}, halfCR);
}
2022-12-01 20:56:40 +01:00
`}function TZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return`float ${a}() {return ${n};}`;let[r,s]=e.shapeInfo.texShape;if(r===1&&s===1)return`
2022-10-18 13:23:49 +02:00
float ${a}() {
return sampleTexture(${n}, halfCR);
2021-12-06 12:34:50 +01:00
}
2022-12-01 20:56:40 +01:00
`;let i=No(n);if(t)return`
2022-10-18 13:23:49 +02:00
float ${a}() {
vec2 uv = uvFromFlat(${n}TexShape[0], ${n}TexShape[1], ${i});
return sampleTexture(${n}, uv);
}
`;let[o,l]=e.shapeInfo.texShape;return`
float ${a}() {
vec2 uv = uvFromFlat(${o}, ${l}, ${i});
return sampleTexture(${n}, uv);
}
2022-12-01 20:56:40 +01:00
`}function NZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=e.shapeInfo.texShape,s=Cn();if(t)return`
2022-10-18 13:23:49 +02:00
vec4 ${a}(int index) {
ivec2 packedTexShape = ivec2(ceil(float(${n}TexShape[0]) / 2.0), ceil(float(${n}TexShape[1]) / 2.0));
vec2 uv = packedUVfrom1D(
packedTexShape[0], packedTexShape[1], index);
return ${s.texture2D}(${n}, uv);
}
`;let i=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];return`
vec4 ${a}(int index) {
vec2 uv = packedUVfrom1D(
${i[0]}, ${i[1]}, index);
return ${s.texture2D}(${n}, uv);
}
2022-12-01 20:56:40 +01:00
`}function CZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1);if(e.shapeInfo.isUniform)return`
2022-10-18 13:23:49 +02:00
float ${a}(int index) {
2022-12-01 20:56:40 +01:00
${Bu(e)}
2022-10-18 13:23:49 +02:00
}
`;let r=e.shapeInfo.texShape,s=r[0],i=r[1];if(i===1&&s===1)return`
float ${a}(int index) {
return sampleTexture(${n}, halfCR);
}
2022-12-01 20:56:40 +01:00
`;let o=No(n);return i===1?t?`
2022-10-18 13:23:49 +02:00
float ${a}(int index) {
vec2 uv = vec2(0.5, (float(index + ${o}) + 0.5) / float(${n}TexShape[0]));
return sampleTexture(${n}, uv);
}
`:`
float ${a}(int index) {
vec2 uv = vec2(0.5, (float(index + ${o}) + 0.5) / ${s}.0);
return sampleTexture(${n}, uv);
}
`:s===1?t?`
float ${a}(int index) {
vec2 uv = vec2((float(index + ${o}) + 0.5) / float(${n}TexShape[1]), 0.5);
return sampleTexture(${n}, uv);
}
`:`
float ${a}(int index) {
vec2 uv = vec2((float(index + ${o}) + 0.5) / ${i}.0, 0.5);
return sampleTexture(${n}, uv);
}
`:t?`
float ${a}(int index) {
vec2 uv = uvFromFlat(${n}TexShape[0], ${n}TexShape[1], index + ${o});
return sampleTexture(${n}, uv);
}
`:`
float ${a}(int index) {
vec2 uv = uvFromFlat(${s}, ${i}, index + ${o});
return sampleTexture(${n}, uv);
}
2022-12-01 20:56:40 +01:00
`}function EZ(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape,i=s[0],o=s[1],l=Cn();if(s!=null&&v.arraysEqual(n,s))return t?`
2022-10-18 13:23:49 +02:00
vec4 ${r}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${a}TexShape[1], ${a}TexShape[0]);
return ${l.texture2D}(${a}, uv);
}
`:`
vec4 ${r}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${o}.0, ${i}.0);
return ${l.texture2D}(${a}, uv);
}
`;if(t)return`
vec4 ${r}(int row, int col) {
ivec2 packedTexShape = ivec2(ceil(float(${a}TexShape[0]) / 2.0), ceil(float(${a}TexShape[1]) / 2.0));
int valuesPerRow = int(ceil(float(${a}Shape[1]) / 2.0));
vec2 uv = packedUVfrom2D(valuesPerRow, packedTexShape[0], packedTexShape[1], row, col);
return ${l.texture2D}(${a}, uv);
}
`;let u=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)],p=Math.ceil(n[1]/2);return`
vec4 ${r}(int row, int col) {
vec2 uv = packedUVfrom2D(${p}, ${u[0]}, ${u[1]}, row, col);
return ${l.texture2D}(${a}, uv);
}
2022-12-01 20:56:40 +01:00
`}function _Z(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape;if(s!=null&&v.arraysEqual(n,s)){if(t)return`
2022-10-18 13:23:49 +02:00
float ${r}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${a}TexShape[1], ${a}TexShape[0]);
return sampleTexture(${a}, uv);
}
`;let c=s[0],h=s[1];return`
float ${r}(int row, int col) {
vec2 uv = (vec2(col, row) + halfCR) / vec2(${h}.0, ${c}.0);
return sampleTexture(${a}, uv);
}
2022-12-01 20:56:40 +01:00
`}let{newShape:i,keptDims:o}=v.squeezeShape(n),l=i;if(l.length<n.length){let c=Vu(e,l),h=["row","col"];return`
${Wu(c,t)}
2022-10-18 13:23:49 +02:00
float ${r}(int row, int col) {
2022-12-01 20:56:40 +01:00
return ${r}(${Uu(h,o)});
2022-10-18 13:23:49 +02:00
}
`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col) {
int index = round(dot(vec2(row, col), vec2(${n[1]}, 1)));
2022-12-01 20:56:40 +01:00
${Bu(e)}
2022-10-18 13:23:49 +02:00
}
2022-12-01 20:56:40 +01:00
`;let u=s[0],p=s[1],d=No(a);return p===1?t?`
2022-10-18 13:23:49 +02:00
float ${r}(int row, int col) {
float index = dot(vec3(row, col, ${d}), vec3(${a}Shape[1], 1, 1));
vec2 uv = vec2(0.5, (index + 0.5) / float(${a}TexShape[0]));
return sampleTexture(${a}, uv);
}
`:`
float ${r}(int row, int col) {
float index = dot(vec3(row, col, ${d}), vec3(${n[1]}, 1, 1));
vec2 uv = vec2(0.5, (index + 0.5) / ${u}.0);
return sampleTexture(${a}, uv);
}
`:u===1?t?`
float ${r}(int row, int col) {
float index = dot(vec3(row, col, ${d}), vec3(${a}Shape[1], 1, 1));
vec2 uv = vec2((index + 0.5) / float(${a}TexShape[1]), 0.5);
return sampleTexture(${a}, uv);
}
`:`
float ${r}(int row, int col) {
float index = dot(vec3(row, col, ${d}), vec3(${n[1]}, 1, 1));
vec2 uv = vec2((index + 0.5) / ${p}.0, 0.5);
return sampleTexture(${a}, uv);
}
`:t?`
float ${r}(int row, int col) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${a}Shape[1] + col + ${d};
vec2 uv = uvFromFlat(${a}TexShape[0], ${a}TexShape[1], index);
return sampleTexture(${a}, uv);
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`:`
float ${r}(int row, int col) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${n[1]} + col + ${d};
vec2 uv = uvFromFlat(${u}, ${p}, index);
return sampleTexture(${a}, uv);
}
2022-12-01 20:56:40 +01:00
`}function AZ(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=e.shapeInfo.texShape,i=[Math.ceil(s[0]/2),Math.ceil(s[1]/2)];if(n[0]===1){let c=n.slice(1),h=[1,2],m=Vu(e,c),f=["b","row","col"];return`
${vE(m,t)}
2022-10-18 13:23:49 +02:00
vec4 ${r}(int b, int row, int col) {
2022-12-01 20:56:40 +01:00
return ${r}(${Uu(f,h)});
2022-10-18 13:23:49 +02:00
}
`}let o=Cn();if(t)return`
vec4 ${r}(int b, int row, int col) {
ivec2 packedTexShape = ivec2(ceil(float(${a}TexShape[0]) / 2.0), ceil(float(${a}TexShape[1]) / 2.0));
int valuesPerRow = int(ceil(float(${a}Shape[2]) / 2.0));
int texelsInBatch = valuesPerRow * int(ceil(float(${a}Shape[1]) / 2.0));
vec2 uv = packedUVfrom3D(
packedTexShape[0], packedTexShape[1], texelsInBatch, valuesPerRow, b, row, col);
return ${o.texture2D}(${a}, uv);
}
`;let l=i[0],u=i[1],p=Math.ceil(n[2]/2),d=p*Math.ceil(n[1]/2);return`
vec4 ${r}(int b, int row, int col) {
vec2 uv = packedUVfrom3D(
${l}, ${u}, ${d}, ${p}, b, row, col);
return ${o.texture2D}(${a}, uv);
}
2022-12-01 20:56:40 +01:00
`}function $Z(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=n[1]*n[2],i=n[2],{newShape:o,keptDims:l}=v.squeezeShape(n),u=o;if(u.length<n.length){let f=Vu(e,u),g=["row","col","depth"];return`
${Wu(f,t)}
2022-10-18 13:23:49 +02:00
float ${r}(int row, int col, int depth) {
2022-12-01 20:56:40 +01:00
return ${r}(${Uu(g,l)});
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col, int depth) {
int index = round(dot(vec3(row, col, depth),
vec3(${s}, ${i}, 1)));
2022-12-01 20:56:40 +01:00
${Bu(e)}
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`;let p=e.shapeInfo.texShape,d=p[0],c=p[1],h=e.shapeInfo.flatOffset;if(c===s&&h==null)return t?`
float ${r}(int row, int col, int depth) {
int stride1 = ${a}Shape[2];
float texR = float(row);
float texC = dot(vec2(col, depth), vec2(stride1, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${a}TexShape[1], ${a}TexShape[0]);
return sampleTexture(${a}, uv);
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`:`
float ${r}(int row, int col, int depth) {
float texR = float(row);
float texC = dot(vec2(col, depth), vec2(${i}, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${c}.0, ${d}.0);
return sampleTexture(${a}, uv);
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
`;if(c===i&&h==null)return t?`
float ${r}(int row, int col, int depth) {
float texR = dot(vec2(row, col), vec2(${a}Shape[1], 1));
float texC = float(depth);
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${a}TexShape[1], ${a}TexShape[0]);
return sampleTexture(${a}, uv);
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`:`
float ${r}(int row, int col, int depth) {
float texR = dot(vec2(row, col), vec2(${n[1]}, 1));
float texC = float(depth);
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${c}.0, ${d}.0);
return sampleTexture(${a}, uv);
}
2022-12-01 20:56:40 +01:00
`;let m=No(a);return t?`
2022-10-18 13:23:49 +02:00
float ${r}(int row, int col, int depth) {
// Explicitly use integer operations as dot() only works on floats.
int stride0 = ${a}Shape[1] * ${a}Shape[2];
int stride1 = ${a}Shape[2];
int index = row * stride0 + col * stride1 + depth + ${m};
vec2 uv = uvFromFlat(${a}TexShape[0], ${a}TexShape[1], index);
return sampleTexture(${a}, uv);
}
`:`
float ${r}(int row, int col, int depth) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${s} + col * ${i} + depth + ${m};
vec2 uv = uvFromFlat(${d}, ${c}, index);
return sampleTexture(${a}, uv);
}
2022-12-01 20:56:40 +01:00
`}function FZ(e,t){let n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=Cn();if(t)return`
2022-10-18 13:23:49 +02:00
vec4 ${a}(int b2, int b, int row, int col) {
int valuesPerRow = int(ceil(float(${n}Shape[3]) / 2.0));
int texelsInBatch = valuesPerRow * int(ceil(float(${n}Shape[2]) / 2.0));
int index = b * texelsInBatch + (row / 2) * valuesPerRow + (col / 2);
texelsInBatch *= ${n}Shape[1];
index = b2 * texelsInBatch + index;
ivec2 packedTexShape = ivec2(ceil(float(${n}TexShape[0]) / 2.0), ceil(float(${n}TexShape[1]) / 2.0));
int texR = index / packedTexShape[1];
int texC = index - texR * packedTexShape[1];
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(packedTexShape[1], packedTexShape[0]); return ${r.texture2D}(${n}, uv);
}
`;let s=e.shapeInfo.logicalShape,i=s.length,o=e.shapeInfo.texShape,l=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)],u=l[0],p=l[1],d=Math.ceil(s[i-1]/2),c=d*Math.ceil(s[i-2]/2),h="int b, int row, int col",m=`b * ${c} + (row / 2) * ${d} + (col / 2)`;for(let f=2;f<i-1;f++)h=`int b${f}, `+h,c*=s[i-f-1],m=`b${f} * ${c} + `+m;return`
vec4 ${a}(${h}) {
int index = ${m};
int texR = index / ${p};
int texC = index - texR * ${p};
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${p}, ${u});
return ${r.texture2D}(${n}, uv);
}
2022-12-01 20:56:40 +01:00
`}function DZ(e,t){let n=e.shapeInfo.logicalShape,a=e.name,r="get"+a.charAt(0).toUpperCase()+a.slice(1),s=n[3],i=n[2]*s,o=n[1]*i,{newShape:l,keptDims:u}=v.squeezeShape(n);if(l.length<n.length){let b=Vu(e,l),x=["row","col","depth","depth2"];return`
${Wu(b,t)}
2022-10-18 13:23:49 +02:00
float ${r}(int row, int col, int depth, int depth2) {
2022-12-01 20:56:40 +01:00
return ${r}(${Uu(x,u)});
2022-10-18 13:23:49 +02:00
}
`}if(e.shapeInfo.isUniform)return`
float ${r}(int row, int col, int depth, int depth2) {
int index = round(dot(vec4(row, col, depth, depth2),
vec4(${o}, ${i}, ${s}, 1)));
2022-12-01 20:56:40 +01:00
${Bu(e)}
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`;let p=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,c=d[0],h=d[1],m=`int stride2 = ${a}Shape[3];`,f=`int stride1 = ${a}Shape[2] * stride2;`,g=`int stride0 = ${a}Shape[1] * stride1;`;if(h===o&&p==null)return t?`
float ${r}(int row, int col, int depth, int depth2) {
${m}
${f}
float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
vec3(stride1, stride2, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${a}TexShape[1], ${a}TexShape[0]);
return sampleTexture(${a}, uv);
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`:`
float ${r}(int row, int col, int depth, int depth2) {
float texR = float(row);
float texC =
dot(vec3(col, depth, depth2),
vec3(${i}, ${s}, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${h}.0, ${c}.0);
return sampleTexture(${a}, uv);
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`;if(h===s&&p==null)return t?`
float ${r}(int row, int col, int depth, int depth2) {
float texR = dot(vec3(row, col, depth),
vec3(${a}Shape[1] * ${a}Shape[2], ${a}Shape[2], 1));
float texC = float(depth2);
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${a}TexShape[1], ${a}TexShape[0]);
return sampleTexture(${a}, uv);
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`:`
float ${r}(int row, int col, int depth, int depth2) {
float texR = dot(vec3(row, col, depth),
vec3(${n[1]*n[2]}, ${n[2]}, 1));
float texC = float(depth2);
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${h}.0, ${c}.0);
return sampleTexture(${a}, uv);
2021-12-06 12:34:50 +01:00
}
2022-12-01 20:56:40 +01:00
`;let y=No(a);return t?`
2022-10-18 13:23:49 +02:00
float ${r}(int row, int col, int depth, int depth2) {
// Explicitly use integer operations as dot() only works on floats.
${m}
${f}
${g}
int index = row * stride0 + col * stride1 +
depth * stride2 + depth2;
vec2 uv = uvFromFlat(${a}TexShape[0], ${a}TexShape[1], index + ${y});
return sampleTexture(${a}, uv);
}
`:`
float ${r}(int row, int col, int depth, int depth2) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${o} + col * ${i} +
depth * ${s} + depth2;
vec2 uv = uvFromFlat(${c}, ${h}, index + ${y});
return sampleTexture(${a}, uv);
}
2022-12-01 20:56:40 +01:00
`}function RZ(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),r=t[4],s=t[3]*r,i=t[2]*s,o=t[1]*i,{newShape:l,keptDims:u}=v.squeezeShape(t);if(l.length<t.length){let f=Vu(e,l),g=["row","col","depth","depth2","depth3"];return`
${Wu(f)}
2022-10-18 13:23:49 +02:00
float ${a}(int row, int col, int depth, int depth2, int depth3) {
2022-12-01 20:56:40 +01:00
return ${a}(${Uu(g,u)});
2022-10-18 13:23:49 +02:00
}
`}if(e.shapeInfo.isUniform)return`
float ${a}(int row, int col, int depth, int depth2, int depth3) {
float index = dot(
vec4(row, col, depth, depth2),
vec4(${o}, ${i}, ${s}, ${r})) +
depth3;
2022-12-01 20:56:40 +01:00
${Bu(e)}
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`;let p=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,c=d[0],h=d[1];if(h===o&&p==null)return`
float ${a}(int row, int col, int depth, int depth2, int depth3) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
vec4(${i}, ${s}, ${r}, 1));
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${h}.0, ${c}.0);
return sampleTexture(${n}, uv);
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`;if(h===r&&p==null)return`
float ${a}(int row, int col, int depth, int depth2, int depth3) {
float texR = dot(
vec4(row, col, depth, depth2),
vec4(${t[1]*t[2]*t[3]},
${t[2]*t[3]}, ${t[3]}, 1));
int texC = depth3;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${h}.0, ${c}.0);
return sampleTexture(${n}, uv);
2021-12-06 12:34:50 +01:00
}
2022-12-01 20:56:40 +01:00
`;let m=No(n);return`
2022-10-18 13:23:49 +02:00
float ${a}(int row, int col, int depth, int depth2, int depth3) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${o} + col * ${i} + depth * ${s} +
depth2 * ${r} + depth3 + ${m};
vec2 uv = uvFromFlat(${c}, ${h}, index);
return sampleTexture(${n}, uv);
}
2022-12-01 20:56:40 +01:00
`}function MZ(e){let t=e.shapeInfo.logicalShape,n=e.name,a="get"+n.charAt(0).toUpperCase()+n.slice(1),{newShape:r,keptDims:s}=v.squeezeShape(t);if(r.length<t.length){let g=Vu(e,r),y=["row","col","depth","depth2","depth3","depth4"];return`
${Wu(g)}
2022-10-18 13:23:49 +02:00
float ${a}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
2022-12-01 20:56:40 +01:00
return ${a}(${Uu(y,s)});
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`}let i=t[5],o=t[4]*i,l=t[3]*o,u=t[2]*l,p=t[1]*u;if(e.shapeInfo.isUniform)return`
float ${a}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
int index = round(dot(
vec4(row, col, depth, depth2),
vec4(${p}, ${u}, ${l}, ${o})) +
dot(
vec2(depth3, depth4),
vec2(${i}, 1)));
2022-12-01 20:56:40 +01:00
${Bu(e)}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
`;let d=e.shapeInfo.flatOffset,c=e.shapeInfo.texShape,h=c[0],m=c[1];if(m===p&&d==null)return`
float ${a}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
int texR = row;
float texC = dot(vec4(col, depth, depth2, depth3),
vec4(${u}, ${l}, ${o}, ${i})) +
float(depth4);
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${m}.0, ${h}.0);
return sampleTexture(${n}, uv);
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
`;if(m===i&&d==null)return`
float ${a}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
float texR = dot(vec4(row, col, depth, depth2),
vec4(${t[1]*t[2]*t[3]*t[4]},
${t[2]*t[3]*t[4]},
${t[3]*t[4]},
${t[4]})) + float(depth3);
int texC = depth4;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${m}.0, ${h}.0);
return sampleTexture(${n}, uv);
}
2022-12-01 20:56:40 +01:00
`;let f=No(n);return`
2022-10-18 13:23:49 +02:00
float ${a}(int row, int col, int depth,
int depth2, int depth3, int depth4) {
// Explicitly use integer operations as dot() only works on floats.
int index = row * ${p} + col * ${u} + depth * ${l} +
depth2 * ${o} + depth3 * ${i} + depth4 + ${f};
vec2 uv = uvFromFlat(${h}, ${m}, index);
return sampleTexture(${n}, uv);
}
2022-12-01 20:56:40 +01:00
`}function Bu(e){let t=e.name,n=v.sizeFromShape(e.shapeInfo.logicalShape);return n<2?`return ${t};`:`
2022-10-18 13:23:49 +02:00
for (int i = 0; i < ${n}; i++) {
if (i == index) {
return ${t}[i];
}
}
2022-12-01 20:56:40 +01:00
`}function PZ(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=e.shapeInfo.logicalShape.length,i=t.logicalShape.length,o=xE(e.shapeInfo.logicalShape,t.logicalShape),l=gt(i),u=i-s,p,d=["x","y","z","w","u","v"];s===0?p="":i<2&&o.length>=1?p="coords = 0;":p=o.map(g=>`coords.${d[g+u]} = 0;`).join(`
2022-10-18 13:23:49 +02:00
`);let c="";i<2&&s>0?c="coords":c=e.shapeInfo.logicalShape.map((g,y)=>`coords.${d[y+u]}`).join(", ");let h="return outputValue;",m=v.sizeFromShape(e.shapeInfo.logicalShape)===1,f=v.sizeFromShape(t.logicalShape)===1;if(s===1&&!m&&!f)h=`
return vec4(outputValue.xy, outputValue.xy);
`;else if(m&&!f)i===1?h=`
return vec4(outputValue.x, outputValue.x, 0., 0.);
`:h=`
return vec4(outputValue.x);
`;else if(o.length){let g=s-2,y=s-1;o.indexOf(g)>-1&&o.indexOf(y)>-1?h="return vec4(outputValue.x);":o.indexOf(g)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(y)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}return`
vec4 ${r}() {
${l} coords = getOutputCoords();
${p}
vec4 outputValue = get${a}(${c});
${h}
}
2022-12-01 20:56:40 +01:00
`}function OZ(e,t){let n=e.name,a=n.charAt(0).toUpperCase()+n.slice(1),r="get"+a+"AtOutCoords",s=t.texShape,i=e.shapeInfo.texShape,o=e.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!e.shapeInfo.isUniform&&o===l&&e.shapeInfo.flatOffset==null&&v.arraysEqual(i,s))return`
2022-10-18 13:23:49 +02:00
float ${r}() {
return sampleTexture(${n}, resultUV);
}
2022-12-01 20:56:40 +01:00
`;let u=gt(l),p=xE(e.shapeInfo.logicalShape,t.logicalShape),d=l-o,c,h=["x","y","z","w","u","v"];o===0?c="":l<2&&p.length>=1?c="coords = 0;":c=p.map(f=>`coords.${h[f+d]} = 0;`).join(`
2022-10-18 13:23:49 +02:00
`);let m="";return l<2&&o>0?m="coords":m=e.shapeInfo.logicalShape.map((f,g)=>`coords.${h[g+d]}`).join(", "),`
float ${r}() {
${u} coords = getOutputCoords();
${c}
return get${a}(${m});
}
2022-12-01 20:56:40 +01:00
`}function gt(e){if(e<=1)return"int";if(e===2)return"ivec2";if(e===3)return"ivec3";if(e===4)return"ivec4";if(e===5)return"ivec5";if(e===6)return"ivec6";throw Error(`GPU for rank ${e} is not yet supported`)}function K0(e,t,n){let{newShape:a,keptDims:r}=v.squeezeShape(t),s=t.length,i=e&&s===3&&t[0]===1,o=i?t.slice(1):a,l=!e&&s>1&&!v.arraysEqual(t,n)&&a.length<s||i;return{useSqueezeShape:l,uniformShape:l?o:t,keptDims:r}}function Vu(e,t){let n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function Uu(e,t){return t.map(n=>e[n]).join(", ")}function LZ(e,t,n,a){let r=n.map((p,d)=>{let c={logicalShape:p.shape,texShape:p.isUniform?null:p.texData.texShape,isUniform:p.isUniform,isPacked:p.isUniform?!1:p.texData.isPacked,flatOffset:null};return p.texData!=null&&p.texData.slice!=null&&p.texData.slice.flatOffset>0&&(c.flatOffset=p.texData.slice.flatOffset),{name:t.variableNames[d],shapeInfo:c}}),s=r.map(p=>p.shapeInfo),i={logicalShape:a.shape,texShape:a.texData.texShape,isUniform:!1,isPacked:a.texData.isPacked,flatOffset:null},o=nZ(r,i,t),l=ZC(e.gl,o),u=e.createProgram(l);return H().get("ENGINE_COMPILE_ONLY")?{program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i,uniformLocations:null,customUniformLocations:null,infLoc:null,nanLoc:null,inShapesLocations:null,inTexShapesLocations:null,outShapeLocation:null,outShapeStridesLocation:null,outTexShapeLocation:null}:Object.assign({program:t,fragmentShader:l,source:o,webGLProgram:u,inShapeInfos:s,outShapeInfo:i},kE(e,t,u))}function kE(e,t,n){let a={},r={},s={},i=[],o,l,u,p=null,d=null;d=e.getUniformLocation(n,"NAN",!1),H().getNumber("WEBGL_VERSION")===1&&(p=e.getUniformLocation(n,"INFINITY",!1));let c=!1;for(let h=0;h<t.variableNames.length;h++){let m=t.variableNames[h];a[m]=e.getUniformLocation(n,m,c),a[`offset${m}`]=e.getUniformLocation(n,`offset${m}`,c),t.enableShapeUniforms&&(r[`${m}Shape`]=e.getUniformLocation(n,`${m}Shape`,c),s[`${m}TexShape`]=e.getUniformLocation(n,`${m}TexShape`,c))}return t.enableShapeUniforms&&(o=e.getUniformLocation(n,"outShape",c),u=e.getUniformLocation(n,"outShapeStrides",c),l=e.getUniformLocation(n,"outTexShape",c)),t.customUniforms&&t.customUniforms.forEach((h,m)=>{i[m]=e.getUniformLocation(n,h.name,c)}),{uniformLocations:a,customUniformLocations:i,infLoc:p,nanLoc:d,inShapesLocations:r,inTexShapesLocations:s,outShapeLocation:o,outShapeStridesLocation:u,outTexShapeLocation:l}}function Kk(e,t){if(e.length!==t.length)throw Error(`Binary was compiled with ${e.length} inputs, but was executed with ${t.length} inputs`);e.forEach((n,a)=>{let r=n.logicalShape,s=t[a],i=s.shape;if(!v.arraysEqual(r,i))throw Error(`Binary was compiled with different shapes than the current args. Shapes ${r} and ${i} must match`);if(n.isUniform&&s.isUniform)return;let o=n.texShape,l=s.isUniform?null:s.texData.texShape;if(!v.arraysEqual(o,l))throw Error(`Binary was compiled with different texture shapes than the current args. Shape ${o} and ${l} must match`)})}function zZ(e,t,n,a,r){t.program.enableShapeUniforms||(Kk(t.inShapeInfos,n),Kk([t.outShapeInfo],[a]));let s=a.texData.texture,i=a.texData.texShape;a.texData.isPacked?e.setOutputPackedMatrixTexture(s.texture,i[0],i[1]):e.setOutputMatrixTexture(s.texture,i[0],i[1]),e.setProgram(t.webGLProgram),H().getNumber("WEBGL_VERSION")===1&&t.infLoc!==null&&e.gl.uniform1f(t.infLoc,1/0),t.nanLoc!==null&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((l,u)=>{let p=t.program.variableNames[u],d=t.uniformLocations[p],c=t.uniformLocations[`offset${p}`],h=t.inShapesLocations[`${p}Shape`],m=t.inTexShapesLocations[`${p}TexShape`];if(h){let{uniformShape:f}=K0(t.program.packedInputs,l.shape,l.texData.texShape);switch(f.length){case 1:e.gl.uniform1iv(h,new Int32Array(f));break;case 2:e.gl.uniform2iv(h,new Int32Array(f));break;case 3:e.gl.uniform3iv(h,new Int32Array(f));break;case 4:e.gl.uniform4iv(h,new Int32Array(f));break;default:break}}if(m&&e.gl.uniform2i(m,l.texData.texShape[0],l.texData.texShape[1]),d!=null){if(l.isUniform){if(v.sizeFromShape(l.shape)<2)e.gl.uniform1f(d,l.uniformValues[0]);else{let f=l.uniformValu
2022-10-18 13:23:49 +02:00
ivec3 outCoordsFromFlatIndex(int index) {
2022-12-01 20:56:40 +01:00
${this.enableShapeUniforms?Rf(["r","c","d"],e):To(["r","c","d"],e)}
2022-10-18 13:23:49 +02:00
return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));
int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getA(rc.x, rc.y, rc.z);
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
${t.output} = result;
}
2022-12-01 20:56:40 +01:00
`}},VZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Qp.DENSE,this.customUniforms=[{name:"texShape",type:"ivec2"}];let t=Cn();this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length),this.userCode=`
2022-10-18 13:23:49 +02:00
ivec3 outCoordsFromFlatIndex(int index) {
2022-12-01 20:56:40 +01:00
${this.enableShapeUniforms?Rf(["r","c","d"],e):To(["r","c","d"],e)}
2022-10-18 13:23:49 +02:00
return ivec3(r, c, d);
}
void main() {
ivec2 resTexRC = ivec2(resultUV.yx * vec2(texShape[0], texShape[1]));
int index = 4 * (resTexRC.x * texShape[1] + resTexRC.y);
vec4 result = vec4(0.);
for (int i=0; i<4; i++) {
int flatIndex = index + i;
ivec3 rc = outCoordsFromFlatIndex(flatIndex);
result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
${t.output} = result;
}
2022-12-01 20:56:40 +01:00
`}},UZ=class{constructor(e){this.variableNames=["A"],this.outTexUsage=pa.DOWNLOAD;let t=Cn();this.outputShape=e,this.userCode=`
${bE}
2022-10-18 13:23:49 +02:00
void main() {
float x = getAAtOutCoords();
${t.output} = encode_float(x);
}
2022-12-01 20:56:40 +01:00
`}},GZ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=pa.DOWNLOAD;let t=Cn();this.outputShape=e,this.userCode=`
${bE}
2022-10-18 13:23:49 +02:00
void main() {
ivec3 coords = getOutputCoords();
float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
${t.output} = encode_float(x);
}
2022-12-01 20:56:40 +01:00
`}},HZ={R:0,G:1,B:2,A:3},Xk=class{constructor(e,t=!1,n="RGBA"){this.variableNames=["A"],this.customUniforms=[{name:"texShape",type:"ivec2"}];let a=Cn();this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length);let r="result";t&&(r="floor(result * 255. + 0.5)");let s="";for(let i=0;i<n.length;i++){let o=n[i];s+=`
2022-10-18 13:23:49 +02:00
if(offset == ${i}) {
2022-12-01 20:56:40 +01:00
result = values[${HZ[o]}];
2022-10-18 13:23:49 +02:00
}`}this.userCode=`
2022-12-01 20:56:40 +01:00
${this.enableShapeUniforms?q0():j0(e)}
2022-10-18 13:23:49 +02:00
void main() {
ivec3 coords = getOutputCoords();
int flatIndex = getFlatIndex(coords);
float result = 0.;
int offset = imod(flatIndex, ${n.length});
flatIndex = idiv(flatIndex, ${n.length}, 1.);
int r = flatIndex / texShape[1];
if (r < texShape[0]) {
int c = imod(flatIndex, texShape[1]);
vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);
vec4 values = ${a.texture2D}(A, uv);
${s}
2021-12-06 12:34:50 +01:00
}
2022-10-18 13:23:49 +02:00
${a.output} = vec4(${r}, 0., 0., 0.);
}
2022-12-01 20:56:40 +01:00
`}},jZ=class{constructor(e,t=!1){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.customUniforms=[{name:"texShape",type:"ivec2"}];let n=Cn();this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length);let a="",r="result";t&&(r="floor(result * 255. + 0.5)");for(let s=0;s<=1;s++)for(let i=0;i<=1;i++){let o=s*2+i;a+=`
2022-10-18 13:23:49 +02:00
localCoords = coords;
if(localCoords[2] + ${i} < ${this.enableShapeUniforms?"outShape[2]":`${e[2]}`}) {
localCoords[2] += ${i};
if (localCoords[1] + ${s} < ${this.enableShapeUniforms?"outShape[1]":`${e[1]}`}) {
localCoords[1] += ${s};
flatIndex = getFlatIndex(localCoords);
offset = imod(flatIndex, 4);
flatIndex = idiv(flatIndex, 4, 1.);
int r = flatIndex / texShape[1];
int c = imod(flatIndex, texShape[1]);
vec2 uv = (vec2(c, r) + halfCR) / vec2(texShape[1], texShape[0]);
values = ${n.texture2D}(A, uv);
if (offset == 0) {
result[${o}] = values[0];
} else if (offset == 1) {
result[${o}] = values[1];
} else if (offset == 2) {
result[${o}] = values[2];
2022-10-18 13:10:36 +02:00
} else {
2022-10-18 13:23:49 +02:00
result[${o}] = values[3];
2022-10-18 13:10:36 +02:00
}
2021-05-18 14:11:17 +02:00
}
}
2022-10-18 13:23:49 +02:00
`}this.userCode=`
2022-12-01 20:56:40 +01:00
${this.enableShapeUniforms?q0():j0(e)}
2022-10-18 13:23:49 +02:00
void main() {
ivec3 coords = getOutputCoords();
vec4 result = vec4(0.);
int flatIndex, r, c, offset;
ivec3 localCoords;
vec2 uv;
vec4 values;
${a}
${n.output} = ${r};
2021-05-18 14:11:17 +02:00
}
2022-12-01 20:56:40 +01:00
`}},IE={};Ae(IE,{bindVertexProgramAttributeStreams:()=>FE,createBufferFromOutputTexture:()=>ME,createFloat16MatrixTexture:()=>EE,createFloat16PackedMatrixTexture:()=>$E,createFloat32MatrixTexture:()=>CE,createIndexBuffer:()=>NE,createPackedMatrixTexture:()=>AE,createUnsignedBytesMatrixTexture:()=>_E,createVertexBuffer:()=>TE,createVertexShader:()=>SE,downloadByteEncodedFloatMatrixFromOutputTexture:()=>OE,downloadFloat32MatrixFromBuffer:()=>PE,downloadMatrixFromPackedOutputTexture:()=>zE,downloadPackedMatrixFromBuffer:()=>LE,getInternalFormatForFloat16MatrixTexture:()=>Y0,getInternalFormatForFloat16PackedMatrixTexture:()=>Q0,getInternalFormatForFloat32MatrixTexture:()=>X0,getInternalFormatForPackedMatrixTexture:()=>J0,getInternalFormatForUnsignedBytesMatrixTexture:()=>Z0,uploadDenseMatrixToTexture:()=>DE,uploadPixelDataToTexture:()=>RE});function SE(e){let t=Cn(),n=`${t.version}
2022-10-18 13:23:49 +02:00
precision highp float;
${t.attribute} vec3 clipSpacePos;
${t.attribute} vec2 uv;
${t.varyingVs} vec2 resultUV;
void main() {
gl_Position = vec4(clipSpacePos, 1);
resultUV = uv;
2022-12-01 20:56:40 +01:00
}`;return YC(e,n)}function TE(e){let t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return eE(e,t)}function NE(e){let t=new Uint16Array([0,1,2,2,1,3]);return tE(e,t)}function nd(e,t,n,a,r,s){aE(t,n);let i=nE(e),o=e.TEXTURE_2D;return ce(e,()=>e.bindTexture(o,i)),ce(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)),ce(e,()=>e.texParameteri(o,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)),ce(e,()=>e.texParameteri(o,e.TEXTURE_MIN_FILTER,e.NEAREST)),ce(e,()=>e.texParameteri(o,e.TEXTURE_MAG_FILTER,e.NEAREST)),H().getNumber("WEBGL_VERSION")===1?ce(e,()=>e.texImage2D(o,0,a,t,n,0,r,s,null)):ce(e,()=>e.texStorage2D(o,1,a,t,n)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,null)),{texture:i,texShape:[n,t]}}function X0(e){return e.internalFormatFloat}function CE(e,t,n,a){let[r,s]=td(t,n);return nd(e,r,s,X0(a),a.textureFormatFloat,e.FLOAT)}function Y0(e){return e.internalFormatHalfFloat}function EE(e,t,n,a){let[r,s]=td(t,n);return nd(e,r,s,Y0(a),a.textureFormatFloat,a.textureTypeHalfFloat)}function Z0(e){return e.downloadTextureFormat}function _E(e,t,n,a){let[r,s]=td(t,n);return nd(e,r,s,Z0(a),e.RGBA,e.UNSIGNED_BYTE)}function J0(e){return e.internalFormatPackedFloat}function AE(e,t,n,a){let[r,s]=Lu(t,n);return nd(e,r,s,J0(a),e.RGBA,e.FLOAT)}function Q0(e){return e.internalFormatPackedHalfFloat}function $E(e,t,n,a){let[r,s]=Lu(t,n);return nd(e,r,s,Q0(a),e.RGBA,a.textureTypeHalfFloat)}function FE(e,t,n){return ce(e,()=>e.bindBuffer(e.ARRAY_BUFFER,n)),px(e,t,"clipSpacePos",n,3,20,0)&&px(e,t,"uv",n,2,20,12)}function DE(e,t,n,a,r,s){ce(e,()=>e.bindTexture(e.TEXTURE_2D,t));let i,o,l;r instanceof Uint8Array?(i=new Uint8Array(n*a*4),o=e.UNSIGNED_BYTE,l=e.RGBA):(i=new Float32Array(n*a*4),o=e.FLOAT,l=s.internalFormatPackedFloat),i.set(r),H().getNumber("WEBGL_VERSION")===2?ce(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n,a,e.RGBA,o,i)):ce(e,()=>e.texImage2D(e.TEXTURE_2D,0,l,n,a,0,e.RGBA,o,i)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function RE(e,t,n){ce(e,()=>e.bindTexture(e.TEXTURE_2D,t)),n.data instanceof Uint8Array?H().getNumber("WEBGL_VERSION")===2?ce(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,n.width,n.height,e.RGBA,e.UNSIGNED_BYTE,n.data)):ce(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)):H().getNumber("WEBGL_VERSION")===2?ce(e,()=>e.texSubImage2D(e.TEXTURE_2D,0,0,0,e.RGBA,e.UNSIGNED_BYTE,n)):ce(e,()=>e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)),ce(e,()=>e.bindTexture(e.TEXTURE_2D,null))}function ME(e,t,n,a){let r=e.createBuffer();ce(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,r));let s=4*4*t*n;return ce(e,()=>e.bufferData(e.PIXEL_PACK_BUFFER,s,e.STREAM_READ)),ce(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)),ce(e,()=>e.bindBuffer(e.PIXEL_PACK_BUFFER,null)),r}function PE(e,t,n){let a=e,r=new Float32Array(n);return a.bindBuffer(a.PIXEL_PACK_BUFFER,t),a.getBufferSubData(a.PIXEL_PACK_BUFFER,0,r),a.bindBuffer(a.PIXEL_PACK_BUFFER,null),r}function OE(e,t,n,a){let[r,s]=td(t,n),i=4,o=new Uint8Array(VY(t*n,i));return ce(e,()=>e.readPixels(0,0,r,s,a.downloadTextureFormat,e.UNSIGNED_BYTE,o)),new Float32Array(o.buffer)}function LE(e,t,n,a,r,s,i,o){let l=e,u=new Float32Array(UY(s,i));return l.bindBuffer(l.PIXEL_PACK_BUFFER,t),l.getBufferSubData(l.PIXEL_PACK_BUFFER,0,u),l.bindBuffer(l.PIXEL_PACK_BUFFER,null),u}function zE(e,t,n){let a=new Float32Array(t*n*4);return ce(e,()=>e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,a)),a}var ch=class{constructor(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.itemsToPoll=[];let t=H().getNumber("WEBGL_VERSION");if(e!=null?(this.gl=e,qC(t,e)):this.gl=Ka(t),e=this.gl,H().getNumber("WEBGL_VERSION")===2){let r=e;this.createVertexArray=()=>ce(r,()=>r.createVertexArray()),this.bindVertexArray=s=>ce(r,()=>r.bindVertexArray(s)),this.deleteVertexArray=s=>ce(r,()=>r.deleteVertexArray(s)),this.getVertexArray=()=>ce(r,()=>r.getParameter(r.VERTEX_ARRAY_BINDING))}else if(e!=null){let r=e.getExtension("OES_vertex_array_object");if(r==null)throw new Error("All WebGL1 implementations are expected to offer OES_vertex_array_object.");this.createVertexArray=()=>c
2022-10-18 13:23:49 +02:00
void main() {
setOutput(vec4(getA(), 0., 0., 0.));
2021-03-26 15:26:02 +01:00
}
2022-12-01 20:56:40 +01:00
`;else{let t=kn("rc",this.rank),n=gt(this.rank),a=this.getOutOfBoundsCondition(t),r=this.getSetup(t),s=this.getOutput(t);this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${n} rc = getOutputCoords();
if(${a}) {
setOutput(vec4(0));
2022-10-18 13:10:36 +02:00
} else {
2022-10-18 13:23:49 +02:00
${r}
setOutput(vec4(${s}));
2022-10-18 13:10:36 +02:00
}
}
2022-10-18 13:23:49 +02:00
`}}getSourceCoordsArr(e){let t=[];for(let n=0;n<=1;n++)for(let a=0;a<=1;a++){let r=`${n===0?"r":"rp1"}, ${a===0?"c":"cp1"}`;for(let s=2;s<this.rank;s++)r=`${e[e.length-1-s]},`+r;t.push(r)}return t}getOutOfBoundsCondition(e){if(this.rank===1)return`rc > ${this.enableShapeUniforms?"outShape":this.outputShape[0]}`;let t="";for(let n=this.rank-2;n<this.rank;n++)t+=`${e[n]} >= ${this.enableShapeUniforms?`outShape[${n}]`:this.outputShape[n]}`,n<this.rank-1&&(t+="||");return t}getSetup(e){if(this.rank===1)return"";let t=e.slice(-2),n=this.enableShapeUniforms?`outShape[${this.rank} - 1]`:this.outputShape[this.rank-1],a=this.enableShapeUniforms?`outShape[${this.rank} - 2]`:this.outputShape[this.rank-2];return`
int r = ${t[0]};
int c = ${t[1]};
int rp1 = r + 1;
int cp1 = c + 1;
bool cEdge = cp1 >= ${n};
bool rEdge = rp1 >= ${a};
`}getOutput(e){let t=this.getSourceCoordsArr(e);return this.rank===1?`getA(rc), (rc + 1 >= ${this.enableShapeUniforms?"outShape":this.outputShape[0]} ? 0. : getA(rc + 1)), 0, 0`:`getA(${t[0]}),
cEdge ? 0. : getA(${t[1]}),
rEdge ? 0. : getA(${t[2]}),
2022-12-01 20:56:40 +01:00
rEdge || cEdge ? 0. : getA(${t[3]})`}},GE=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec3"}],this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length);let n="";for(let a=0;a<4;a++){let r="thisRC = rc;";a%2===1&&(r+="thisRC.z += 1;"),a>1&&(r+="thisRC.y += 1;"),n+=`
2022-10-18 13:23:49 +02:00
${r}
${a>0?"if(thisRC.y < rows && thisRC.z < cols){":""}
int flatIndex = getFlatIndex(thisRC);
ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);
vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));
result[${a}] =
getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
${a>0?"}":""}
`}this.userCode=`
2022-12-01 20:56:40 +01:00
${z7(t,this.enableShapeUniforms)}
${this.enableShapeUniforms?q0():j0(e)}
2022-10-18 13:23:49 +02:00
void main() {
ivec3 rc = getOutputCoords();
vec4 result = vec4(0.);
ivec3 thisRC;
int rows = ${this.enableShapeUniforms?"outShape[1]":e[1]};
int cols = ${this.enableShapeUniforms?"outShape[2]":e[2]};
${n}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}};function z7(e,t){return`
2022-10-18 13:23:49 +02:00
ivec3 inputCoordsFromReshapedOutCoords(int index) {
2022-12-01 20:56:40 +01:00
${t?tZ(["r","c","d"],"inputShape"):To(["r","c","d"],e)}
2022-10-18 13:23:49 +02:00
return ivec3(r, c, d);
}
2022-12-01 20:56:40 +01:00
`}var W7=class{constructor(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}acquireTexture(e,t,n){let a=Zk(t,n),r=Jk(e,a,n);r in this.freeTextures||(this.freeTextures[r]=[]),r in this.usedTextures||(this.usedTextures[r]=[]);let s=Yk(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[r].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();let o=this.freeTextures[r].shift();return this.usedTextures[r].push(o),o}let i;return a===ln.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):a===ln.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):a===ln.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):a===ln.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):a===ln.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[r].push(i),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),i}releaseTexture(e,t,n,a){if(this.freeTextures==null)return;let r=Zk(n,a),s=Jk(t,r,a);s in this.freeTextures||(this.freeTextures[s]=[]);let i=Yk(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,a),o=H().get("WEBGL_DELETE_TEXTURE_THRESHOLD");o!==-1&&this._numBytesAllocated>o?(this.gpgpu.deleteMatrixTexture(e.texture),this._numBytesAllocated-=i):(this.freeTextures[s].push(e),this.numFreeTextures++,this._numBytesFree+=i),this.numUsedTextures--;let l=this.usedTextures[s],u=l.indexOf(e);if(u<0)throw new Error("Cannot release a texture that was never provided by this texture manager");l.splice(u,1),this.log()}log(){if(!this.logEnabled)return;let e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",`${this.numFreeTextures} / ${this.numUsedTextures}`,`(${e})`);let t=this._numBytesFree/this._numBytesAllocated;console.log(`Bytes allocated: ${this._numBytesAllocated}`),console.log(`Bytes unused: ${this._numBytesFree} (${Math.round(100*t)}%)`)}get numBytesAllocated(){return this._numBytesAllocated}get numBytesFree(){return this._numBytesFree}getNumUsedTextures(){return this.numUsedTextures}getNumFreeTextures(){return this.numFreeTextures}dispose(){if(this.freeTextures!=null){for(let e in this.freeTextures)this.freeTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});for(let e in this.usedTextures)this.usedTextures[e].forEach(t=>{this.gpgpu.deleteMatrixTexture(t.texture)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}};function B7(e,t){let n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F||t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;if(t===n.RGBA8)return 4;throw new Error(`Unknown internal format ${t}`)}function Yk(e,t,n,a,r){let s=V7(t,a),i;if(r){let[l,u]=Lu(e[0],e[1]);i=l*u}else{let[l,u]=td(e[0],e[1]);i=l*u}let o=B7(n,s);return i*o}function V7(e,t){switch(e){case ln.PACKED_2X2_FLOAT32:return J0(t);case ln.PACKED_2X2_FLOAT16:return Q0(t);case ln.UNPACKED_FLOAT32:return X0(t);case ln.UNPACKED_FLOAT16:return Y0(t);case ln.PACKED_4X1_UNSIGNED_BYTE:return Z0(t);default:throw new Error(`Unknown physical texture type ${e}`)}}function U7(e){return H().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?ln.PACKED_2X2_FLOAT32:ln.UNPACKED_FLOAT32:e?ln.PACKED_2X2_FLOAT16:ln.UNPACKED_FLOAT16}function Zk(e,t){if(e===pa.UPLOAD)return ln.PACKED_2X2_FLOAT32;if(e===pa.RENDER||e==null)return U7(t);if(e===pa.DOWNLOAD||e===pa.PIXELS)return ln.PACKED_4X1_UNSIGNED_BYTE;throw new Error(`Unknown logical texture type ${e}`)}function Jk(e,t,n){return`${e[0]}_${e[1]}_${t}_${n}`}var rr=class{constructor(e,t){this.variableNames=["A"],this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length),this.userCode=`
2022-10-18 13:23:49 +02:00
float unaryOperation(float x) {
${t}
}
void main() {
float x = getAAtOutCoords();
float y = unaryOperation(x);
setOutput(y);
}
2022-12-01 20:56:40 +01:00
`}},Ma="if (isnan(x)) return x;",G7="return x;",Qk="return abs(x);",H7="return (x >= 0.0) ? x : (exp(x) - 1.0);",j7=Ma+`
2022-10-18 13:23:49 +02:00
return (x < 0.0) ? 0.0 : x;
2022-12-01 20:56:40 +01:00
`,q7=Ma+`
2022-10-18 13:23:49 +02:00
return (x < 0.0) ? 0.0 : min(6.0, x);
2022-12-01 20:56:40 +01:00
`,Xr="return x;",K7="return 1.0 / (1.0 + exp(-1.0 * x));",X7="return x;",Y7=`
2022-10-18 13:23:49 +02:00
vec4 result;
result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
return result;
2022-12-01 20:56:40 +01:00
`,Z7=`
2022-10-18 13:23:49 +02:00
vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
2022-12-01 20:56:40 +01:00
`,J7=`
2022-10-18 13:23:49 +02:00
vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
2022-12-01 20:56:40 +01:00
`,Q7="return 1.0 / (1.0 + exp(-1.0 * x));",es=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length),this.userCode=`
2022-10-18 13:23:49 +02:00
vec4 unaryOperation(vec4 x) {
${t}
}
void main() {
vec4 x = getAAtOutCoords();
vec4 y = unaryOperation(x);
setOutput(y);
}
2022-12-01 20:56:40 +01:00
`}},eJ=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length);let t=e.length,n=kn("rc",t),a=gt(t),r=O7(t,n),s=n.slice(-2),i=t<=1?"rc":`vec2(${s.join(",")})`;this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${a} rc = getOutputCoords();
vec4 packedInput = getA(${r});
setOutput(getChannel(packedInput, ${i}));
}
2022-12-01 20:56:40 +01:00
`}},tJ=hr.whereImpl,nJ=1e-7,aJ=1e-4,wb={};function rJ(e){return e in wb||(wb[e]={}),wb[e]}var sJ=H().getNumber("CPU_HANDOFF_SIZE_THRESHOLD"),iJ=600;function oJ(){return H().global.screen==null?1024:H().global.screen.height*H().global.screen.width*window.devicePixelRatio*iJ/1024/1024}var Mf=class extends sc{constructor(e){if(super(),this.pendingRead=new WeakMap,this.pendingDisposal=new WeakSet,this.dataRefCount=new WeakMap,this.numBytesInGPU=0,this.uploadWaitMs=0,this.downloadWaitMs=0,this.lastGlFlushTime=0,this.warnedAboutMemory=!1,this.pendingDeletes=0,this.disposed=!1,!H().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");let t;if(e!=null){if(e instanceof ch)t=e;else{let n=Ka(H().getNumber("WEBGL_VERSION"),e);t=new ch(n)}this.binaryCache={},this.gpgpuCreatedLocally=!1}else{let n=Ka(H().getNumber("WEBGL_VERSION"));t=new ch(n),this.binaryCache=rJ(H().getNumber("WEBGL_VERSION")),this.gpgpuCreatedLocally=!0}this.gpgpu=t,this.canvas=this.gpgpu.gl.canvas,this.textureManager=new W7(this.gpgpu),this.numMBBeforeWarning=oJ(),this.texData=new qh(this,Ca())}nextDataId(){return Mf.nextDataId++}numDataIds(){return this.texData.numDataIds()-this.pendingDeletes}writeTexture(e,t,n,a,r,s){let i=this.makeTensorInfo(t,n),o=this.texData.get(i.dataId);o.isPacked=!1,o.texture={texture:e,texShape:[a,r]},o.texShape=[a,r];let l=Pp(t),u=new Xk(l,!1,s),p=this.runWebGLProgram(u,[i],n,[[a,r]]);return p.shape=t,o.texture=null,this.disposeIntermediateTensorInfo(i),p.dataId}write(e,t,n){if((H().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||H().getBool("DEBUG"))&&this.checkNumericalProblems(e),n==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");let a={id:this.nextDataId()};return this.texData.set(a,{shape:t,dtype:n,values:e,usage:pa.UPLOAD,refCount:1}),a}refCount(e){return this.texData.has(e)?this.texData.get(e).refCount:0}incRef(e){let t=this.texData.get(e);t.refCount++}decRef(e){if(this.texData.has(e)){let t=this.texData.get(e);t.refCount--}}move(e,t,n,a,r){if(H().getBool("DEBUG")&&this.checkNumericalProblems(t),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:a,values:t,usage:pa.UPLOAD,refCount:r})}disposeIntermediateTensorInfo(e){this.disposeData(e.dataId)}readSync(e){let t=this.texData.get(e),{values:n,dtype:a,complexTensorInfos:r,slice:s,shape:i,isPacked:o}=t;if(s!=null){let d;o?d=new es(i,Xr):d=new rr(i,Xr);let c=this.runWebGLProgram(d,[{dataId:e,shape:i,dtype:a}],a),h=this.readSync(c.dataId);return this.disposeIntermediateTensorInfo(c),h}if(n!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return n;let l=this.activeTimers!=null,u;l&&(u=v.now());let p;if(a==="complex64"){let d=this.readSync(r.real.dataId),c=this.readSync(r.imag.dataId);p=N.mergeRealAndImagArrays(d,c)}else p=this.getValuesFromTexture(e);return l&&(this.downloadWaitMs+=v.now()-u),this.convertAndCacheOnCPU(e,p)}async read(e){if(this.pendingRead.has(e)){let h=this.pendingRead.get(e);return new Promise(m=>h.push(m))}let t=this.texData.get(e),{values:n,shape:a,slice:r,dtype:s,complexTensorInfos:i,isPacked:o}=t;if(r!=null){let h;o?h=new es(a,Xr):h=new rr(a,Xr);let m=this.runWebGLProgram(h,[{dataId:e,shape:a,dtype:s}],s),f=this.read(m.dataId);return this.disposeIntermediateTensorInfo(m),f}if(n!=null)return this.convertAndCacheOnCPU(e);if(H().getBool("DEBUG")&&!H().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&H().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");let l=null,u;if(s!=="complex64"&&H().get("WEBGL_BUFFER_SUPPORTED")){u=this.decode(e);let h=this.texData.get(u.dataId);l=this.gpgpu.createBufferFromTexture(h.texture.texture,...th(a))}this.pendingRead.set(e,[]),s!=="complex64"&&await this.gpgpu.createAndWaitForFence();let p;if(s==="complex64"){let h=await Promise.all([this.read(i.real.dataId),this.read(i.imag.dataId)]),m=h[0],f=h[1];p=N.mergeRealAndImagArrays(m,f)}else if(l==null)p=this.getValuesFromTextu
2022-10-18 13:23:49 +02:00
if (isnan(a)) return a;
if (isnan(b)) return b;
2022-12-01 20:56:40 +01:00
`,kl=class{constructor(e,t,n){this.variableNames=["A","B"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.enableShapeUniforms=En(this.outputShape.length),this.userCode=`
2022-10-18 13:23:49 +02:00
float binaryOperation(float a, float b) {
${e}
}
void main() {
float a = getAAtOutCoords();
float b = getBAtOutCoords();
setOutput(binaryOperation(a, b));
}
2022-12-01 20:56:40 +01:00
`}},ad=`
2022-10-18 13:23:49 +02:00
result.r = isNaN.r ? NAN : result.r;
result.g = isNaN.g ? NAN : result.g;
result.b = isNaN.b ? NAN : result.b;
result.a = isNaN.a ? NAN : result.a;
2022-12-01 20:56:40 +01:00
`,rd=class{constructor(e,t,n,a=!1){this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=N.assertAndGetBroadcastShape(t,n);let r=this.outputShape.length;this.enableShapeUniforms=En(r);let s="";if(a)if(r===0||v.sizeFromShape(this.outputShape)===1)s=`
2022-10-18 13:23:49 +02:00
result.y = 0.;
result.z = 0.;
result.w = 0.;
`;else if(s=`
${gt(r)} coords = getOutputCoords();
`,r===1)this.enableShapeUniforms?s+=`
result.y = (coords + 1) >= outShape ? 0. : result.y;
result.z = 0.;
result.w = 0.;
`:s+=`
result.y = (coords + 1) >= ${this.outputShape[0]} ? 0. : result.y;
result.z = 0.;
result.w = 0.;
2022-12-01 20:56:40 +01:00
`;else{let i=kn("coords",r);this.enableShapeUniforms?s+=`
2022-10-18 13:23:49 +02:00
bool nextRowOutOfBounds =
(${i[r-2]} + 1) >= outShape[${r} - 2];
bool nextColOutOfBounds =
(${i[r-1]} + 1) >= outShape[${r} - 1];
result.y = nextColOutOfBounds ? 0. : result.y;
result.z = nextRowOutOfBounds ? 0. : result.z;
result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
`:s+=`
bool nextRowOutOfBounds =
(${i[r-2]} + 1) >= ${this.outputShape[r-2]};
bool nextColOutOfBounds =
(${i[r-1]} + 1) >= ${this.outputShape[r-1]};
result.y = nextColOutOfBounds ? 0. : result.y;
result.z = nextRowOutOfBounds ? 0. : result.z;
result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
`}this.userCode=`
vec4 binaryOperation(vec4 a, vec4 b) {
${e}
}
void main() {
vec4 a = getAAtOutCoords();
vec4 b = getBAtOutCoords();
vec4 result = binaryOperation(a, b);
${s}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}};function ta(e){let{inputs:t,backend:n}=e,{x:a}=t;return n.incRef(a.dataId),{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}var cJ={kernelName:Oi,backendName:"webgl",kernelFunc:ta};function Cs(e){let{inputs:t,backend:n}=e,{real:a,imag:r}=t,s=n.makeTensorInfo(a.shape,"complex64"),i=n.texData.get(s.dataId),o=ta({inputs:{x:a},backend:n}),l=ta({inputs:{x:r},backend:n});return i.complexTensorInfos={real:o,imag:l},s}var dJ={kernelName:em,backendName:"webgl",kernelFunc:Cs},jE="return (a < 0.) ? b * a : a;",qE=`
2022-10-18 13:23:49 +02:00
vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
2022-12-01 20:56:40 +01:00
`;function hJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{alpha:s}=a,i=n.makeTensorInfo([],"float32",v.createScalarValue(s,"float32")),o=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new rd(qE,r.shape,i.shape):new kl(jE,r.shape,i.shape),l=n.runWebGLProgram(o,[r,i],"float32");return n.disposeIntermediateTensorInfo(i),l}var mJ={kernelName:zi,backendName:"webgl",kernelFunc:hJ},KE="return (a < 0.) ? b * a : a;",XE=`
2022-10-18 13:23:49 +02:00
vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
2022-12-01 20:56:40 +01:00
`;function fJ(e){let{inputs:t,backend:n}=e,{x:a,alpha:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new rd(XE,a.shape,r.shape):new kl(KE,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],"float32")}var gJ={kernelName:Ji,backendName:"webgl",kernelFunc:fJ},Gu="if (isnan(x)) return x;";function Ye({opSnippet:e,packedOpSnippet:t,cpuKernelImpl:n,dtype:a}){return({inputs:r,backend:s})=>{let{x:i}=r,o=s,l=a||i.dtype;if(o.shouldExecuteOnCPU([i])&&n!=null){let d=o.texData.get(i.dataId),c=n(d.values,l);return o.makeTensorInfo(i.shape,l,c)}let u=H().getBool("WEBGL_PACK_UNARY_OPERATIONS")&&t!=null,p;return u?p=new es(i.shape,t):p=new rr(i.shape,e),o.runWebGLProgram(p,[i],l)}}function pn({opSnippet:e,packedOpSnippet:t,checkOutOfBounds:n=!1,supportsComplex:a=!1,cpuKernelImpl:r,dtype:s}){return({inputs:i,backend:o})=>{let{a:l,b:u}=i,p=o;if(a&&l.dtype==="complex64"){let m=p.texData.get(l.dataId),f=p.texData.get(u.dataId),[g,y]=[[m.complexTensorInfos.real,f.complexTensorInfos.real],[m.complexTensorInfos.imag,f.complexTensorInfos.imag]].map(x=>{let[w,I]=x,T={dataId:w.dataId,dtype:w.dtype,shape:l.shape},C={dataId:I.dataId,dtype:I.dtype,shape:u.shape},_=new kl(e,l.shape,u.shape);return p.runWebGLProgram(_,[T,C],ma(w.dtype,I.dtype))}),b=Cs({inputs:{real:g,imag:y},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(y),b}let d=s||ma(l.dtype,u.dtype);if((l.dtype==="string"||u.dtype==="string"||p.shouldExecuteOnCPU([l,u]))&&r!=null){let m=p.texData.get(l.dataId).values,f=p.texData.get(u.dataId).values,g=l.dtype==="string"?N.fromUint8ToStringArray(m):m,y=l.dtype==="string"?N.fromUint8ToStringArray(f):f,[b,x]=r(l.shape,u.shape,g,y,d),w=p.makeTensorInfo(x,d),I=p.texData.get(w.dataId);return I.values=b,w}let c=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&t!=null,h;return c?h=new rd(t,l.shape,u.shape,n):h=new kl(e,l.shape,u.shape),p.runWebGLProgram(h,[l,u],d)}}function tc(e,t=!1){if(e==="linear")return t?X7:G7;if(e==="relu")return t?Z7:j7;if(e==="elu")return t?Y7:H7;if(e==="relu6")return t?J7:q7;if(e==="prelu")return t?XE:KE;if(e==="leakyrelu")return t?qE:jE;if(e==="sigmoid")return t?Q7:K7;throw new Error(`Activation ${e} has not been implemented for the WebGL backend.`)}var YE=class{constructor(e,t,n,a=!1,r=!1,s=!1,i=null,o=!1,l=!1){this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n,this.enableShapeUniforms=En(this.outputShape.length);let u=a?e[1]:e[2],p=Math.ceil(u/2),d=a?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",h=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],m=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",g="";i&&(o?f=`vec4 activation(vec4 a) {
2022-10-18 13:23:49 +02:00
vec4 b = getPreluActivationWeightsAtOutCoords();
${i}
}`:l?f=`vec4 activation(vec4 a) {
vec4 b = getLeakyreluAlphaAtOutCoords();
${i}
}`:f=`vec4 activation(vec4 x) {
${i}
}`,g="result = activation(result);");let y=s?"result += getBiasAtOutCoords();":"";s&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),l&&this.variableNames.push("leakyreluAlpha");let b="rc.x",x="rc.x";e[0]<t[0]?b=`int(min(float(rc.x), ${e[0]-1}.))`:t[0]<e[0]&&(x=`int(min(float(rc.x), ${t[0]-1}.))`),this.userCode=`
${f}
// Don't use uniform for sharedDimensionPacked for performance.
const float sharedDimension = ${p}.0;
vec4 dot2x2ARowBCol(ivec3 rc) {
vec4 result = vec4(0);
for (int i = 0; i < ${p}; i++) {
int batchA = ${b};
int batchB = ${x};
vec4 a = getMatrixA(batchA, ${d});
vec4 b = getMatrixB(batchB, ${c});
// These swizzled products need to be separately added.
// See: https://github.com/tensorflow/tfjs/issues/1735
result += (${h[0]} * ${m[0]});
result += (${h[1]} * ${m[1]});
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
return result;
}
void main() {
ivec3 rc = getOutputCoords();
vec4 result = dot2x2ARowBCol(rc);
${y}
${g}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}},eI={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},tI=class{constructor(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=N.assertAndGetBroadcastShape(t,n),this.userCode=`
2022-10-18 13:23:49 +02:00
float binaryOpComplex(
float areal, float aimag, float breal, float bimag) {
${e}
}
void main() {
float areal = getARealAtOutCoords();
float aimag = getAImagAtOutCoords();
float breal = getBRealAtOutCoords();
float bimag = getBImagAtOutCoords();
setOutput(binaryOpComplex(areal, aimag, breal, bimag));
}
2022-12-01 20:56:40 +01:00
`}},nI="return a * b;";function n1(e){let{inputs:t,backend:n}=e,{a,b:r}=t,s=N.upcastType(a.dtype,r.dtype);if(a.dtype==="complex64"){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),u=new tI(eI.REAL,a.shape,r.shape),p=new tI(eI.IMAG,a.shape,r.shape),d=[{dataId:o.complexTensorInfos.real.dataId,dtype:o.complexTensorInfos.real.dtype,shape:a.shape},{dataId:o.complexTensorInfos.imag.dataId,dtype:o.complexTensorInfos.imag.dtype,shape:a.shape},{dataId:l.complexTensorInfos.real.dataId,dtype:l.complexTensorInfos.real.dtype,shape:r.shape},{dataId:l.complexTensorInfos.imag.dataId,dtype:l.complexTensorInfos.imag.dtype,shape:r.shape}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=Cs({inputs:{real:c,imag:h},backend:n});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}if(n.shouldExecuteOnCPU([a,r])){let o=n.texData.get(a.dataId),l=n.texData.get(r.dataId),[u,p]=m7(a.shape,r.shape,o.values,l.values,s),d=n.makeTensorInfo(p,s),c=n.texData.get(d.dataId);return c.values=u,d}let i;return H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?i=new rd(nI,a.shape,r.shape):i=new kl(nI,a.shape,r.shape),n.runWebGLProgram(i,[a,r],s)}var yJ={kernelName:Ki,backendName:"webgl",kernelFunc:n1};function bJ(e,t,n){let a=[mi(e.shape),...fi(e.shape)],r={dtype:e.dtype,shape:a,dataId:e.dataId},s=[mi(t),...fi(t)],i=new GE(s,a),o=!0,l=[a],u=n.runWebGLProgram(i,[r],e.dtype,l,o);return{dataId:u.dataId,shape:t,dtype:u.dtype}}function he(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{shape:s}=a,i=n,o=v.sizeFromShape(r.shape),l=v.inferFromImplicitShape(s,o),u=v.sizeFromShape(l);v.assert(o===u,()=>`The new shape (${l}) has ${u} elements and the old shape (${r.shape}) has ${o} elements. The new shape and old shape must have the same number of elements.`);let p=i.texData.get(r.dataId);return p.isPacked&&!ec(r.shape,l)&&!(p.texture!==null&&ec(p.shape,l))?bJ(r,l,i):(i.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var xJ={kernelName:uu,backendName:"webgl",kernelFunc:he},aI=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i=Math.floor(n/4)*4,o=n%4,l="sumValue += dot(values, ones);";if(t!=null){let p=1/t;l=`sumValue += dot(values * ${v.isInt(p)?p.toPrecision(2):p}, ones);`}let u="";r%n>0&&(u=`
2022-10-18 13:23:49 +02:00
if (inIdx < 0 || inIdx >= ${r}) {
return 0.0;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
`),this.userCode=`
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float getValue(int batch, int inIdx) {
${u}
return getX(batch, inIdx);
}
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * ${n};
float sumValue = 0.0;
for (int i = 0; i < ${i}; i += 4) {
int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
${l}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
int inIdx = inOffset + ${i};
if (${o===1}) {
vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);
${l}
} else if (${o===2}) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1), 0.0, 0.0);
${l}
} else if (${o===3}) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2), 0.0);
${l}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
setOutput(sumValue);
}
2022-12-01 20:56:40 +01:00
`}},vJ=class{constructor(e,t){this.variableNames=["x"];let{windowSize:n,batchSize:a,inSize:r,outSize:s}=e;this.outputShape=[a,s];let i="0.0",o="";t==="prod"?i="1.0":t==="min"?(i="1.0 / 1e-20",o="min"):t==="max"&&(i="-1.0 / 1e-20",o="max");let l=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="sum"?l="sumValue":t==="prod"?l="prodValue":t==="all"?l="allValue":t==="any"&&(l="anyValue");let u=Math.floor(n/4)*4,p=n%4,d=`
2022-10-18 13:23:49 +02:00
if (${t==="sum"}) {
sumValue += dot(values, ones);
} else if (${t==="prod"}) {
vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);
prodValue *= tmp[0] * tmp[1];
} else {
minMaxValue = ${o}(values, minMaxValue);
if (${t==="min"} || ${t==="max"}) {
minMaxValue = ${o}(values, minMaxValue);
bvec4 isNaN = isnan(values);
if (isNaN.r || isNaN.g || isNaN.b || isNaN.a) {
minMaxValue = vec4(NAN);
2021-05-18 14:11:17 +02:00
}
2021-03-26 15:26:02 +01:00
}
2022-10-18 13:23:49 +02:00
}
`,c="vec4";t==="all"?(i="1.0",d=`
bool reducedAllValue = all(values);
float floatedReducedAllValue = float(reducedAllValue);
allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
`,c="bvec4"):t==="any"&&(i="0.0",d=`
bool reducedAnyValue = any(values);
float floatedReducedAnyValue = float(reducedAnyValue);
anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
`,c="bvec4");let h="";r%n>0&&(h=`
if (inIdx < 0 || inIdx >= ${r}) {
return initializationValue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
`),this.userCode=`
const float initializationValue = ${i};
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float getValue(int batch, int inIdx) {
${h}
return getX(batch, inIdx);
}
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * ${n};
vec4 minMaxValue = vec4(${i});
float prodValue = 1.0;
float sumValue = 0.0;
float allValue = 1.0;
float anyValue = 0.0;
for (int i = 0; i < ${u}; i += 4) {
int inIdx = inOffset + i;
${c} values = ${c}(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
${d}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
int inIdx = inOffset + ${u};
if (${p===1}) {
${c} values = ${c}(
getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
${d}
} else if (${p===2}) {
${c} values = ${c}(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
${d}
} else if (${p===3}) {
${c} values = ${c}(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
${d}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
setOutput(${l});
}
2022-12-01 20:56:40 +01:00
`}};function wJ(e){let t=[];for(;t.length===0||t[t.length-1].outSize!==1;){let n=t.length?t[t.length-1].outSize:e[1],a=N.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:a,outSize:Math.ceil(n/a)})}return t}function Co(e,t,n,a){let r=wJ(e.shape),s=e;for(let i=0;i<r.length;i++){let{inSize:o,windowSize:l,outSize:u}=r[i],p,d;n==="mean"?p=i===0?new aI({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:u},o):new aI({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:u}):p=new vJ({windowSize:l,inSize:o,batchSize:e.shape[0],outSize:u},n),d=s,s=a.runWebGLProgram(p,[s],t),d.dataId!==e.dataId&&a.disposeIntermediateTensorInfo(d)}return s}var kJ=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[t[s]];this.outputShape=n,this.rank=n.length;let a=gt(this.rank),r=IJ(t);this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${a} resRC = getOutputCoords();
setOutput(getA(${r}));
}
2022-12-01 20:56:40 +01:00
`}};function IJ(e){let t=e.length;if(t>6)throw Error(`Transpose for rank ${t} is not yet supported`);let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],a=new Array(t);for(let r=0;r<e.length;r++)a[e[r]]=n[r];return a.join()}var SJ=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;let n=new Array(e.length);for(let u=0;u<n.length;u++)n[u]=e[t[u]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error(`Packed transpose for rank ${this.rank} is not yet supported.`);let a=gt(this.rank),r=UE("rc",this.rank),s=new Array(this.rank);for(let u=0;u<t.length;u++)s[t[u]]=r[u];let i=`vec2(${s.slice(-2).join()})`,o=`++${r[this.rank-1]} < ${n[this.rank-1]}`,l=`getChannel(getA(${s.join()}), ${i})`;this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${a} rc = getOutputCoords();
vec4 result = vec4(0.);
result[0] = ${l};
if(${o}) {
result[1] = ${l};
}
--${r[this.rank-1]};
if(++${r[this.rank-2]} < ${n[this.rank-2]}) {
result[2] = ${l};
if(${o}) {
result[3] = ${l};
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}};function Pf(e,t,n){let a=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new SJ(e.shape,t):new kJ(e.shape,t);return n.runWebGLProgram(a,[e],e.dtype)}function TJ(e,t,n,a){let r=t,s=e.shape.length,i=v.parseAxisParam(r,e.shape),o=i,l=N.getAxesPermutation(o,s),u=l!=null,p=e;u&&(p=Pf(e,l,a),o=N.getInnerMostAxes(o.length,s)),N.assertAxesAreInnerMostDims("sum",o,s);let[d,c]=N.computeOutAndReduceShapes(p.shape,o),h=d;n&&(h=N.expandShapeToKeepDim(d,i));let m=v.sizeFromShape(c),f=v.sizeFromShape(e.shape)/m,g=he({inputs:{x:p},attrs:{shape:[f,m]},backend:a}),y=_m(e.dtype),b=Co(g,y,"sum",a),x=he({inputs:{x:b},attrs:{shape:h},backend:a});return a.disposeIntermediateTensorInfo(g),a.disposeIntermediateTensorInfo(b),u&&a.disposeIntermediateTensorInfo(p),x}function Of(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a;return TJ(r,s,i,n)}var NJ={kernelName:co,backendName:"webgl",kernelFunc:Of};function In(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{perm:s}=a,i=n,o=r.shape.length,l=new Array(o);for(let p=0;p<l.length;p++)l[p]=r.shape[s[p]];let u;if(i.shouldExecuteOnCPU([r])){let p=i.texData.get(r.dataId).values,d=e1(p,r.shape,r.dtype,s,l);u=i.makeTensorInfo(l,r.dtype);let c=i.texData.get(u.dataId);c.values=d}else u=Pf(r,s,i);return u}var CJ={kernelName:Cr,backendName:"webgl",kernelFunc:In},ZE=1e3;function Vh({a:e,b:t,transposeA:n,transposeB:a,backend:r,bias:s=null,preluActivationWeights:i=null,leakyreluAlpha:o=0,activation:l=null}){let u=e.shape.length,p=t.shape.length,d=n?e.shape[u-2]:e.shape[u-1],c=a?t.shape[p-1]:t.shape[p-2],h=n?e.shape[u-1]:e.shape[u-2],m=a?t.shape[p-2]:t.shape[p-1],f=e.shape.slice(0,-2),g=t.shape.slice(0,-2),y=v.sizeFromShape(f),b=v.sizeFromShape(g),x=Nu.assertAndGetBroadcastShape(e.shape.slice(0,-2),t.shape.slice(0,-2)).concat([h,m]);v.assert(d===c,()=>`Error in matMul: inner shapes (${d}) and (${c}) of Tensors with shapes ${e.shape} and ${t.shape} and transposeA=${n} and transposeB=${a} must match.`);let w=n?[y,d,h]:[y,h,d],I=a?[b,m,c]:[b,c,m],T=he({inputs:{x:e},backend:r,attrs:{shape:w}}),C=he({inputs:{x:t},backend:r,attrs:{shape:I}}),_=[T,C],$=Math.max(y,b),R=n?T.shape[1]:T.shape[2],F=s!=null,S=i!=null,M=l==="leakyrelu",B=l!=null?tc(l,!0):null,U=F||S||M||B!=null,G;if((h===1||m===1)&&R>ZE&&U===!1){let K=T,Z=C;n&&(K=In({inputs:{x:T},backend:r,attrs:{perm:[0,2,1]}}),_.push(K)),a&&(Z=In({inputs:{x:C},backend:r,attrs:{perm:[0,2,1]}}),_.push(Z));let J=m!==1,ee=m===1,ae=K;J&&(ae=he({inputs:{x:K},backend:r,attrs:{shape:[$,R,1]}}),_.push(ae));let te=m===1?2:1,ie=Z;ee&&(ie=he({inputs:{x:Z},backend:r,attrs:{shape:[$,1,R]}}),_.push(ie));let oe=n1({inputs:{a:ae,b:ie},backend:r});G=Of({inputs:{x:oe},backend:r,attrs:{axis:te,keepDims:!0}}),_.push(oe)}else{let K=ma(e.dtype,t.dtype),Z=new YE(w,I,[$,h,m],n,a,F,B,S,M),J=[T,C];if(s!=null&&J.push(s),S&&J.push(i),M){let ee=r.makeTensorInfo([],"float32",v.createScalarValue(o,"float32"));J.push(ee),_.push(ee)}G=r.runWebGLProgram(Z,J,K)}let q=he({inputs:{x:G},backend:r,attrs:{shape:x}});_.push(G);for(let K of _)r.disposeIntermediateTensorInfo(K);return q}function EJ(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t,{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a;return Vh({a:r,b:s,transposeA:l,transposeB:u,backend:n,bias:i,preluActivationWeights:o,leakyreluAlpha:d,activation:p})}var _J={kernelName:ti,backendName:"webgl",kernelFunc:EJ},rI="return abs(x);";function AJ(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])&&a.dtype!=="complex64"){let s=n.texData.get(a.dataId),i=BE(s.values);return n.makeTensorInfo(a.shape,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new es(a.shape,rI):r=new rr(a.shape,rI),n.runWebGLProgram(r,[a],a.dtype)}var $J={kernelName:Sl,backendName:"webgl",kernelFunc:AJ},FJ=Ma+`
2022-10-18 13:23:49 +02:00
if (abs(x) > 1.) {
return NAN;
}
return acos(x);
2022-12-01 20:56:40 +01:00
`,DJ=Ye({opSnippet:FJ}),RJ={kernelName:Tl,backendName:"webgl",kernelFunc:DJ},MJ=Ma+`
2022-10-18 13:23:49 +02:00
if (x < 1.0) return NAN;
2022-12-01 20:56:40 +01:00
return log(x + sqrt(x * x - 1.0));`,PJ=Ye({opSnippet:MJ}),OJ={kernelName:Nl,backendName:"webgl",kernelFunc:PJ},sI="return a + b;",LJ=pn({opSnippet:sI,packedOpSnippet:sI,supportsComplex:!0,cpuKernelImpl:KZ}),zJ={kernelName:fs,backendName:"webgl",kernelFunc:LJ},WJ=class{constructor(e,t){this.outputShape=[],this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`float v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${n.join(`
`)}
float result = ${a};
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}},BJ=class{constructor(e,t){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.variableNames=t.map((r,s)=>`T${s}`);let n=[];this.variableNames.forEach(r=>{n.push(`vec4 v${r} = get${r}AtOutCoords();`)});let a=this.variableNames.map(r=>`v${r}`).join(" + ");this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${n.join(`
`)}
vec4 result = ${a};
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}};function dh(e){let{inputs:t,backend:n}=e,a=t;if(a.length===1)return ta({inputs:{x:a[0]},backend:n});if(a.length>H().get("WEBGL_MAX_TEXTURES_IN_SHADER")){let o=Math.floor(a.length/2),l=dh({inputs:a.slice(0,o),backend:n}),u=dh({inputs:a.slice(o),backend:n});return dh({inputs:[l,u],backend:n})}let r=a.map(o=>o.dtype).reduce((o,l)=>ma(o,l)),s=a.map(o=>o.shape),i=H().getBool("WEBGL_PACK")?new BJ(a[0].shape,s):new WJ(a[0].shape,s);return n.runWebGLProgram(i,a,r)}var VJ={kernelName:bi,backendName:"webgl",kernelFunc:dh};function UJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("all",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=he({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=Co(f,f.dtype,"all",n),y;if(i){let b=N.expandShapeToKeepDim(c,l);y=he({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=he({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),y}var GJ={kernelName:Cl,backendName:"webgl",kernelFunc:UJ};function HJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,o)),N.assertAxesAreInnerMostDims("any",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=he({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=Co(f,f.dtype,"any",n),y;if(i){let b=N.expandShapeToKeepDim(c,l);y=he({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=he({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),y}var jJ={kernelName:El,backendName:"webgl",kernelFunc:HJ},qJ=class{constructor(e,t,n){this.variableNames=["A"];let{windowSize:a,batchSize:r,outSize:s}=e;n||this.variableNames.push("bestIndicesA"),this.outputShape=[r,s];let i=t==="max"?">":"<",o=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = outIdx * ${a};
int bestIndex = inOffset;
float bestValue = getA(batch, bestIndex);
for (int i = 0; i < ${a}; i++) {
int inIdx = ${o};
float candidate = getA(batch, inIdx);
if (candidate ${i} bestValue) {
bestValue = candidate;
bestIndex = inIdx;
2022-10-18 13:10:36 +02:00
}
}
2022-10-18 13:23:49 +02:00
setOutput(float(bestIndex));
}
2022-12-01 20:56:40 +01:00
`}},KJ=class{constructor(e,t,n,a){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,v.assert(e.length>2,()=>`Packed arg${n.charAt(0).toUpperCase()+n.slice(1)} supports only inputs with rank above 2.`);let r=e[e.length-1],s=Math.ceil(r/t);this.outputShape=e.slice(0,-1),s>1&&this.outputShape.push(s),a||this.variableNames.push("bestIndicesA");let i=this.outputShape,o=i.length,l=gt(o),u=kn("coords",o),p,d;if(s===1){d=o+1;let C=gt(d);p=`
2022-10-18 13:23:49 +02:00
${C} sourceLocR = ${C}(${u.join()}, 0);
++${u[o-1]};
${C} sourceLocG = ${C}(${u.join()}, 0);
++${u[o-2]};
${C} sourceLocA = ${C}(${u.join()}, 0);
--${u[o-1]};
${C} sourceLocB = ${C}(${u.join()}, 0);
--${u[o-2]};`}else d=o,p=`
${l} sourceLocR = coords;
++${u[o-1]};
${l} sourceLocG = coords;
++${u[o-2]};
${l} sourceLocA = coords;
--${u[o-1]};
${l} sourceLocB = coords;
2022-12-01 20:56:40 +01:00
--${u[o-2]};`;let c=["x","y","z","w","u","v"].slice(0,d),h="."+c[d-1],m=c.map(C=>"int "+C),f=kn("sourceLocR",d-1).concat("inIdx.r"),g=kn("sourceLocG",d-1).concat("inIdx.g"),y=kn("sourceLocB",d-1).concat("inIdx.b"),b=kn("sourceLocA",d-1).concat("inIdx.a"),x=n==="max"?"greaterThan":"lessThan",w=a?"":`
2022-10-18 13:23:49 +02:00
inIdx = round(vec4(getBestIndicesAChannel(${f.join()}),
getBestIndicesAChannel(${g.join()}),
getBestIndicesAChannel(${y.join()}),
getBestIndicesAChannel(${b.join()})));`,I=`vec4(
getAChannel(${f.join()}),
hasNextCol ? getAChannel(${g.join()}) : 0.,
hasNextRow ? getAChannel(${y.join()}) : 0.,
hasNextRow && hasNextCol ? getAChannel(${b.join()}) : 0.)`,T=a?"":`
float getBestIndicesAChannel(${m.join()}) {
return getChannel(getBestIndicesA(${c.join()}),
vec2(${c.slice(-2).join()}));
}`;this.userCode=`
float getAChannel(${m.join()}) {
return getChannel(getA(${c.join()}),
vec2(${c.slice(-2).join()}));
}
${T}
void main() {
${l} coords = getOutputCoords();
bool hasNextCol = ${u[o-1]} < ${i[o-1]-1};
bool hasNextRow = ${u[o-2]} < ${i[o-2]-1};
${p}
ivec4 srcIdx = ivec4(sourceLocR${h}, sourceLocG${h},
sourceLocB${h}, sourceLocA${h}) * ${t};
ivec4 inIdx = srcIdx;
vec4 bestIndex = vec4(inIdx);
vec4 bestValue = ${I};
for (int i = 0; i < ${t}; i++) {
inIdx = srcIdx;
${w}
vec4 candidate = ${I};
bvec4 nan = isnan(candidate);
bvec4 replace = bvec4(
vec4(${x}(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));
bestValue = vec4(replace.x ? candidate.x : bestValue.x,
replace.y ? candidate.y : bestValue.y,
replace.z ? candidate.z : bestValue.z,
replace.w ? candidate.w : bestValue.w);
bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));
srcIdx++;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
setOutput(bestIndex);
}
2022-12-01 20:56:40 +01:00
`}};function JE(e,t,n,a=null){let r=t.shape[0],s=t.shape[1];a!=null&&(r=a.shape[0],s=a.shape[1]);let i=N.computeOptimalWindowSize(s),o={windowSize:i,inSize:s,batchSize:r,outSize:Math.ceil(s/i)},l=new qJ(o,n,a==null),u=[t];a!=null&&u.push(a);let p=e.runWebGLProgram(l,u,"int32");if(p.shape[1]===1)return p;let d=JE(e,t,n,p);return e.disposeIntermediateTensorInfo(p),d}function QE(e,t,n,a=null){let r=a!=null?a.shape:t.shape,s=r[r.length-1],i=N.computeOptimalWindowSize(s),o=new KJ(r,i,n,a==null),l=a==null?[t]:[t,a],u=e.runWebGLProgram(o,l,"int32");if(u.shape.length===t.shape.length){let p=QE(e,t,n,u);return e.disposeIntermediateTensorInfo(u),p}return u}function e_(e,t,n,a){let r=[n];if(N.assertAxesAreInnerMostDims("arg"+a.charAt(0).toUpperCase()+a.slice(1),r,t.shape.length),!H().getBool("WEBGL_PACK_REDUCE")||t.shape.length<=2){let s=[],i=e.texData.get(t.dataId),o=i!==null&&i.isPacked,l=t;o&&(l=e.unpackTensor(t),s.push(l));let[u,p]=N.computeOutAndReduceShapes(l.shape,r),d=v.sizeFromShape(p),c=he({inputs:{x:l},backend:e,attrs:{shape:[-1,d]}});s.push(c);let h=JE(e,c,a);s.push(h);let m=he({inputs:{x:h},backend:e,attrs:{shape:u}});return s.forEach(f=>e.disposeIntermediateTensorInfo(f)),m}return QE(e,t,a)}function XJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=In({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMax",[i[0]],l.shape.length);let p=e_(n,l,i[0],"max");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var YJ={kernelName:xi,backendName:"webgl",kernelFunc:XJ};function ZJ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s}=a,i=v.parseAxisParam(s,r.shape),o=N.getAxesPermutation(i,r.shape.length),l=r,u=[];o!=null&&(l=In({inputs:{x:r},backend:n,attrs:{perm:o}}),u.push(l),i=N.getInnerMostAxes(i.length,l.shape.length)),N.assertAxesAreInnerMostDims("argMin",[i[0]],l.shape.length);let p=e_(n,l,i[0],"min");return u.forEach(d=>n.disposeIntermediateTensorInfo(d)),p}var JJ={kernelName:ic,backendName:"webgl",kernelFunc:ZJ},QJ=Ma+`
2022-10-18 13:23:49 +02:00
if (abs(x) > 1.) {
return NAN;
}
return asin(x);
2022-12-01 20:56:40 +01:00
`,e9=Ye({opSnippet:QJ}),t9={kernelName:_l,backendName:"webgl",kernelFunc:e9},n9=Ma+"return log(x + sqrt(x * x + 1.0));",a9=Ye({opSnippet:n9}),r9={kernelName:Al,backendName:"webgl",kernelFunc:a9},s9=Ma+`
2022-10-18 13:23:49 +02:00
return atan(x);
2022-12-01 20:56:40 +01:00
`,i9=Ye({opSnippet:s9}),o9={kernelName:$l,backendName:"webgl",kernelFunc:i9},l9=t1+`
2022-10-18 13:23:49 +02:00
return atan(a, b);
2022-12-01 20:56:40 +01:00
`,u9=`
2022-10-18 13:23:49 +02:00
vec4 result = atan(a, b);
bvec4 isNaNA = isnan(a);
bvec4 isNaNB = isnan(b);
bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);
2022-12-01 20:56:40 +01:00
`+ad+`
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,p9=pn({opSnippet:l9,packedOpSnippet:u9}),c9={kernelName:Dl,backendName:"webgl",kernelFunc:p9},d9=Ma+`
2022-10-18 13:23:49 +02:00
if ((x < -1.0) || (x > 1.0)) return NAN;
2022-12-01 20:56:40 +01:00
return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,h9=Ye({opSnippet:d9}),m9={kernelName:Fl,backendName:"webgl",kernelFunc:h9},nc=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideHeight,o=e.strideWidth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterHeight,d=e.effectiveFilterWidth,c=e.padInfo.top,h=e.padInfo.left;this.outputShape=e.outShape;let m=t==="avg",f=`((batch * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + d`,g=`(xR * ${e.inWidth} + xC) * ${e.inChannels} + d`,y="0.0";if(m||(y="-1.0 / 1e-20"),n){let C=">=";this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec2 strides = ivec2(${i}, ${o});
const ivec2 pads = ivec2(${c}, ${h});
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d = coords[3];
ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
float minMaxValue = 0.0;
float minMaxValueFound = 0.0;
int minMaxPosition = 0;
float avgValue = 0.0;
for (int wR = 0; wR < ${p};
wR += ${l}) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
for (int wC = 0; wC < ${d};
wC += ${u}) {
int xC = xCCorner + wC;
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
float value = getX(batch, xR, xC, d);
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix(
value, minMaxValue, minMaxValueFound);
if (value ${C} currMinMaxValue) {
minMaxValue = value;
minMaxValueFound = 1.0;
minMaxPosition = ${a?r?f:g:`wR * ${d} + wC`};
}
2022-10-18 13:10:36 +02:00
}
}
2022-10-18 13:23:49 +02:00
setOutput(float(minMaxPosition));
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
`;return}let b="max",x=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(x="avgValue / count");let w=Math.floor(s/4)*4,I=s%4,T=`
if (${m}) {
avgValue += dot(values, ones);
} else {
minMaxValue = ${b}(values, minMaxValue);
}
`;this.userCode=`
const ivec2 strides = ivec2(${i}, ${o});
const ivec2 pads = ivec2(${c}, ${h});
const float initializationValue = ${y};
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float count = 0.0;
float getValue(int batch, int xR, int xC, int d) {
if (xC < 0 || xC >= ${e.inWidth}) {
return initializationValue;
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
count += 1.0;
return getX(batch, xR, xC, d);
}
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d = coords[3];
ivec2 xRCCorner = coords.yz * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// max/min x(?, ?, d) to get y(yR, yC, d).
// ? = to be determined
vec4 minMaxValue = vec4(${y});
float avgValue = 0.0;
count = 0.0;
for (int wR = 0; wR < ${p};
wR += ${l}) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
for (int wC = 0; wC < ${w}; wC += 4) {
int xC = xCCorner + wC * ${u};
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${u}, d),
getValue(batch, xR, xC + 2 * ${u}, d),
getValue(batch, xR, xC + 3 * ${u}, d)
);
${T}
}
int xC = xCCorner + ${w};
if (${I===1}) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
initializationValue,
initializationValue,
initializationValue
);
${T}
} else if (${I===2}) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${u}, d),
initializationValue,
initializationValue
);
${T}
} else if (${I===3}) {
vec4 values = vec4(
getValue(batch, xR, xC, d),
getValue(batch, xR, xC + ${u}, d),
getValue(batch, xR, xC + 2 * ${u}, d),
initializationValue
);
${T}
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
setOutput(${x});
}
2022-12-01 20:56:40 +01:00
`}},a1=class{constructor(e,t,n,a=!1,r=!1){if(this.variableNames=["x"],t==="avg"&&n)throw new Error("Cannot compute positions for average pool.");let s=e.filterWidth,i=e.strideDepth,o=e.strideHeight,l=e.strideWidth,u=e.dilationDepth,p=e.dilationHeight,d=e.dilationWidth,c=e.effectiveFilterDepth,h=e.effectiveFilterHeight,m=e.effectiveFilterWidth,f=e.padInfo.front,g=e.padInfo.top,y=e.padInfo.left;this.outputShape=e.outShape;let b=t==="avg",x="0.0";if(b||(x="-1.0 / 1e-20"),n){let $=">=";this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec3 strides =
ivec3(${i}, ${o}, ${l});
const ivec3 pads = ivec3(${f}, ${g}, ${y});
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
// max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).
// ? = to be determined
float minMaxValue = 0.0;
float minMaxValueFound = 0.0;
int minMaxPosition = 0;
for (int wD = 0; wD < ${c};
wD += ${u}) {
int xD = xDCorner + wD;
if (xD < 0 || xD >= ${e.inDepth}) {
continue;
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
for (int wR = 0; wR < ${h};
wR += ${p}) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
for (int wC = 0; wC < ${m};
wC += ${d}) {
int xC = xCCorner + wC;
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
float value = getX(batch, xD, xR, xC, ch);
// If a min / max value has already been found, use it. If not,
// use the current value.
float currMinMaxValue = mix(
value, minMaxValue, minMaxValueFound);
2022-11-12 17:54:00 +01:00
if (value ${$} currMinMaxValue) {
2022-10-18 13:23:49 +02:00
minMaxValue = value;
minMaxValueFound = 1.0;
minMaxPosition = ${a?r?`(((batch * ${e.inDepth} + xD) * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`((xD * ${e.inHeight} + xR) * ${e.inWidth} + xC) * ${e.inChannels} + ch`:`wD * ${h} * ${m} +
wR * ${m} + wC`};
}
2021-05-18 14:11:17 +02:00
}
}
}
2022-10-18 13:23:49 +02:00
setOutput(float(minMaxPosition));
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`;return}let w="max",I=`${t}(${t}(${t}(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])`;t==="avg"&&(I="avgValue / count");let T=Math.floor(s/4)*4,C=s%4,_=`
2022-10-18 13:23:49 +02:00
if (${b}) {
avgValue += dot(values, ones);
} else {
minMaxValue = ${w}(values, minMaxValue);
}
`;this.userCode=`
const ivec3 strides =
ivec3(${i}, ${o}, ${l});
const ivec3 pads = ivec3(${f}, ${g}, ${y});
const float initializationValue = ${x};
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
float count = 0.0;
float getValue(int batch, int xD, int xR, int xC, int ch) {
if (xC < 0 || xC >= ${e.inWidth}) {
return initializationValue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
count += 1.0;
return getX(batch, xD, xR, xC, ch);
}
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xDCorner = xCorner.x;
int xRCorner = xCorner.y;
int xCCorner = xCorner.z;
// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
// ? = to be determined
vec4 minMaxValue = vec4(${x});
float avgValue = 0.0;
count = 0.0;
for (int wD = 0; wD < ${c};
wD += ${u}) {
int xD = xDCorner + wD;
if (xD < 0 || xD >= ${e.inDepth}) {
continue;
2022-03-07 19:17:31 +01:00
}
2022-10-18 13:23:49 +02:00
for (int wR = 0; wR < ${h};
wR += ${p}) {
int xR = xRCorner + wR;
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
2021-05-18 14:11:17 +02:00
}
2022-10-18 13:23:49 +02:00
for (int wC = 0; wC < ${T}; wC += 4) {
int xC = xCCorner + wC * ${d};
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + ${d}, ch),
getValue(batch, xD, xR, xC + 2 * ${d}, ch),
getValue(batch, xD, xR, xC + 3 * ${d}, ch)
);
2022-12-01 20:56:40 +01:00
${_}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
int xC = xCCorner + ${T};
if (${C===1}) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
initializationValue,
initializationValue,
initializationValue
);
2022-12-01 20:56:40 +01:00
${_}
2022-10-18 13:23:49 +02:00
} else if (${C===2}) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + ${d}, ch),
initializationValue,
initializationValue
);
2022-12-01 20:56:40 +01:00
${_}
2022-10-18 13:23:49 +02:00
} else if (${C===3}) {
vec4 values = vec4(
getValue(batch, xD, xR, xC, ch),
getValue(batch, xD, xR, xC + ${d}, ch),
getValue(batch, xD, xR, xC + 2 * ${d}, ch),
initializationValue
);
2022-12-01 20:56:40 +01:00
${_}
2021-05-18 14:11:17 +02:00
}
}
2022-10-18 13:23:49 +02:00
setOutput(${I});
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
}
2022-12-01 20:56:40 +01:00
`}};function f9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;zu(r,"avgPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in avgPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return ta({inputs:{x:r},backend:n});let d=new nc(p,"avg",!1);return n.runWebGLProgram(d,[r],"float32")}var g9={kernelName:vi,backendName:"webgl",kernelFunc:f9};function y9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dimRoundingMode:l,dataFormat:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,l,u),c=new a1(d,"avg",!1);return n.runWebGLProgram(c,[r],"float32")}var b9={kernelName:oc,backendName:"webgl",kernelFunc:y9},x9=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterHeight,l=e.effectiveFilterWidth,u=o-1-e.padInfo.top,p=l-1-e.padInfo.left,d=1/(t*n);this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec2 pads = ivec2(${u}, ${p});
const float avgMultiplier = float(${d});
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 dyRCCorner = coords.yz - pads;
int dyRCorner = dyRCCorner.x;
int dyCCorner = dyRCCorner.y;
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < ${o};
wR += ${s}) {
float dyR = float(dyRCorner + wR) / ${a}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
continue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
int idyR = int(dyR);
for (int wC = 0; wC < ${l};
wC+= ${i}) {
float dyC = float(dyCCorner + wC) / ${r}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
2022-10-18 13:10:36 +02:00
continue;
}
2022-10-18 13:23:49 +02:00
int idyC = int(dyC);
float dyValue = getDy(b, idyR, idyC, d);
dotProd += dyValue * avgMultiplier;
2021-05-18 14:11:17 +02:00
}
}
2022-10-18 13:23:49 +02:00
setOutput(dotProd);
}
2022-12-01 20:56:40 +01:00
`}},v9=class{constructor(e){this.variableNames=["dy"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.effectiveFilterDepth,d=e.effectiveFilterHeight,c=e.effectiveFilterWidth,h=p-1-e.padInfo.front,m=d-1-e.padInfo.top,f=c-1-e.padInfo.left,g=1/(t*n*a);this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec3 pads = ivec3(${h}, ${m}, ${f});
const float avgMultiplier = float(${g});
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
// Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get
// dx(xD, xR, xC, ch).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wD = 0; wD < ${p};
wD += ${o}) {
float dyD = float(dyDCorner + wD) / ${r}.0;
if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
continue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
int idyD = int(dyD);
for (int wR = 0; wR < ${d};
wR += ${l}) {
float dyR = float(dyRCorner + wR) / ${s}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
fract(dyR) > 0.0) {
continue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
int idyR = int(dyR);
for (int wC = 0; wC < ${c};
wC += ${u}) {
float dyC = float(dyCCorner + wC) / ${i}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
float dyValue = getDy(batch, idyD, idyR, idyC, ch);
dotProd += dyValue * avgMultiplier;
2022-10-18 13:10:36 +02:00
}
}
}
2022-10-18 13:23:49 +02:00
setOutput(dotProd);
}
2022-12-01 20:56:40 +01:00
`}};function w9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new v9(c);return n.runWebGLProgram(h,[r],i.dtype)}var k9={kernelName:Zh,backendName:"webgl",kernelFunc:w9};function I9(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s;zu([r,s],"avgPoolGrad");let{filterSize:o,strides:l,pad:u}=a,p=N.computePool2DInfo(i.shape,o,l,1,u),d=new x9(p);return n.runWebGLProgram(d,[r],i.dtype)}var S9={kernelName:Yh,backendName:"webgl",kernelFunc:I9};function T9(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s}=t,{transposeA:i,transposeB:o}=a;return Vh({a:r,b:s,transposeA:i,transposeB:o,backend:n})}var N9={kernelName:wi,backendName:"webgl",kernelFunc:T9},C9=class{constructor(e,t,n,a,r,s){this.outputShape=[],this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="0.0";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="1.0";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
float x = getXAtOutCoords();
float mean = getMeanAtOutCoords();
float variance = getVarianceAtOutCoords();
float offset = ${i};
float scale = ${o};
float inv = scale * inversesqrt(variance + float(${s}));
setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
}
2022-12-01 20:56:40 +01:00
`}},E9=class{constructor(e,t,n,a,r,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.assertAndGetBroadcastShape(e,t),N.assertAndGetBroadcastShape(e,n);let i="vec4(0.0)";a!=null&&(N.assertAndGetBroadcastShape(e,a),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");let o="vec4(1.0)";r!=null&&(N.assertAndGetBroadcastShape(e,r),this.variableNames.push("scale"),o="getScaleAtOutCoords()"),this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
vec4 offset = ${i};
vec4 scale = ${o};
vec4 x = getXAtOutCoords();
vec4 mean = getMeanAtOutCoords();
vec4 variance = getVarianceAtOutCoords();
vec4 inv = scale * inversesqrt(variance + vec4(${s}));
setOutput((x - mean) * inv + offset);
}
2022-12-01 20:56:40 +01:00
`}},_9=({inputs:e,backend:t,attrs:n})=>{let{x:a,mean:r,variance:s,offset:i,scale:o}=e;v.assert(r.shape.length===s.shape.length,()=>"Batch normalization gradient requires mean and variance to have equal ranks."),v.assert(i==null||r.shape.length===i.shape.length,()=>"Batch normalization gradient requires mean and offset to have equal ranks."),v.assert(o==null||r.shape.length===o.shape.length,()=>"Batch normalization gradient requires mean and scale to have equal ranks.");let{varianceEpsilon:l}=n;l==null&&(l=.001);let u=[a,r,s],p=null;i!=null&&(p=i.shape,u.push(i));let d=null;o!=null&&(d=o.shape,u.push(o));let c=H().getBool("WEBGL_PACK_NORMALIZATION")?new E9(a.shape,r.shape,s.shape,p,d,l):new C9(a.shape,r.shape,s.shape,p,d,l);return t.runWebGLProgram(c,u,u[0].dtype)},A9={kernelName:Mi,backendName:"webgl",kernelFunc:_9},$9=class{constructor(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;let t=gt(this.rank);this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let n=F9(this.rank),a,r=e.map((s,i)=>`sourceLoc.${mx[i]} = start[${i}] + coords.${mx[i]};`);a=`
2022-10-18 13:23:49 +02:00
${t} sourceLoc;
${t} coords = getOutputCoords();
${r.join(`
`)}
`,this.userCode=`
void main() {
${a}
setOutput(getSource(${n}));
}
2022-12-01 20:56:40 +01:00
`}},mx=["x","y","z","w","u","v"];function F9(e){if(e===1)return"sourceLoc";if(e<=6)return mx.slice(0,e).map(t=>"sourceLoc."+t).join(",");throw Error(`Slicing for rank ${e} is not yet supported`)}var D9=class{constructor(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length,this.customUniforms=[{name:"start",arrayIndex:this.rank,type:"int"}];let t=gt(this.rank),n=kn("coords",this.rank),a=kn("sourceLoc",this.rank),r=this.rank===1?"sourceLoc":`vec2(${a.slice(-2).join()})`,s=`getChannel(getSource(${a.join()}), ${r})`,i=`
2022-10-18 13:23:49 +02:00
result.x = ${s};
if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
++${a[this.rank-1]};
result.y = ${s};
--${a[this.rank-1]};
}
`,o=this.rank===1?"":`
--${n[this.rank-1]};
if (++${n[this.rank-2]} < ${e[this.rank-2]}) {
++${a[this.rank-2]};
result.z = ${s};
if (++${n[this.rank-1]} < ${e[this.rank-1]}) {
++${a[this.rank-1]};
result.w = ${s};
}
}
`,l=this.rank<=4?`sourceLoc = coords +
${t}(${e.map((u,p)=>`start[${p}]`).join()});`:e.map((u,p)=>`${a[p]} = ${n[p]} + start[${p}];`).join(`
`);this.userCode=`
void main() {
${t} coords = getOutputCoords();
${t} sourceLoc;
${l}
vec4 result = vec4(0.);
${i}
${o}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}};function R9(e,t,n,a){let r=a.texData.get(e.dataId),s=a.makeTensorInfo(n,e.dtype),i=a.texData.get(s.dataId);Object.assign(i,r),i.refCount=1,i.shape=n,i.dtype=e.dtype;let o=Kt.computeFlatOffset(t,v.computeStrides(e.shape));r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};let l=a.dataRefCount.get(i.slice.origDataId)||1;return a.dataRefCount.set(i.slice.origDataId,l+1),s}function Hu(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,size:i}=a,[o,l]=Kt.parseSliceParams(r,s,i);if(Kt.assertParamsValid(r,o,l),v.sizeFromShape(l)===0)return n.makeTensorInfo(l,r.dtype,[]);if(n.shouldExecuteOnCPU([r])||r.dtype==="string"){let d=n.texData.get(r.dataId),c=T7(d.values,o,l,r.shape,r.dtype);return n.makeTensorInfo(l,r.dtype,c)}let{isPacked:u}=n.texData.get(r.dataId),p=Kt.isSliceContinous(r.shape,o,l);if(u||!p){let d=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new D9(l):new $9(l),c=[o];return n.runWebGLProgram(d,[r],r.dtype,c)}return n.uploadToGPU(r.dataId),R9(r,o,l,n)}var M9={kernelName:hu,backendName:"webgl",kernelFunc:Hu},P9=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,crops:i}=a;v.assert(r.shape.length<=4,()=>"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((b,x)=>b*x),l=N.getReshaped(r.shape,s,o),u=N.getPermuted(l.length,s.length),p=N.getReshapedPermuted(r.shape,s,o),d=N.getSliceBeginCoords(i,s.length),c=N.getSliceSize(p,i,s.length),h=[],m=he({inputs:{x:r},backend:n,attrs:{shape:l}}),f=In({inputs:{x:m},backend:n,attrs:{perm:u}}),g=he({inputs:{x:f},backend:n,attrs:{shape:p}}),y=Hu({inputs:{x:g},backend:n,attrs:{begin:d,size:c}});return h.push(m),h.push(f),h.push(g),h.forEach(b=>n.disposeIntermediateTensorInfo(b)),y},O9={kernelName:Rl,backendName:"webgl",kernelFunc:P9};function L9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i}=a,o=n.readSync(r.dataId),l=n.readSync(s.dataId),u=WE(o,l,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,u)}var z9={kernelName:Jh,backendName:"webgl",kernelFunc:L9};function W9(e){let{inputs:t,backend:n}=e,{s0:a,s1:r}=t,s=n.readSync(a.dataId),i=n.readSync(r.dataId),o=N.assertAndGetBroadcastShape(Array.from(s),Array.from(i));return n.makeTensorInfo([o.length],"int32",Int32Array.from(o))}var B9={kernelName:Qh,backendName:"webgl",kernelFunc:W9},V9="return float(a != b);",t_=pn({opSnippet:V9,cpuKernelImpl:g7,dtype:"bool"}),U9={kernelName:au,backendName:"webgl",kernelFunc:t_};function sd(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return ta({inputs:{x:r.complexTensorInfos.real},backend:n})}var G9={kernelName:km,backendName:"webgl",kernelFunc:sd},H9="return float(int(x));";function j9(e,t){let n=new rr(e.shape,H9),a=t.runWebGLProgram(n,[e],"int32");return{dataId:a.dataId,shape:a.shape,dtype:a.dtype}}function fx(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dtype:s}=a;if(s==="complex64"){if(r.dtype==="complex64")return ta({inputs:{x:r},backend:n});let i=It(r.shape),o=fx({inputs:{x:r},backend:n,attrs:{dtype:"float32"}}),l=Cs({inputs:{real:o,imag:i},backend:n});return i.dispose(),n.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){let i=sd({inputs:{input:r},backend:n}),o=fx({inputs:{x:i},backend:n,attrs:{dtype:s}});return n.disposeIntermediateTensorInfo(i),o}if(!v.hasEncodingLoss(r.dtype,s)){let i=ta({inputs:{x:r},backend:n});return{dataId:i.dataId,shape:i.shape,dtype:s}}if(n.shouldExecuteOnCPU([r])){let i=n.texData.get(r.dataId).values,[o,l,u]=YZ(i,r.shape,r.dtype,s);return n.makeTensorInfo(o,l,u)}if(s==="int32")return j9(r,n);if(s==="bool"){let i=n.makeTensorInfo([],"bool",v.getTypedArrayFromDType("bool",1)),o=t_({inputs:{a:r,b:i},backend:n});return n.disposeIntermediateTensorInfo(i),o}throw new Error(`Error in Cast: failed to cast ${r.dtype} to ${s}`)}var q9={kernelName:ki,backendName:"webgl",kernelFunc:fx},iI="return ceil(x);",K9=Ye({opSnippet:iI,packedOpSnippet:iI,cpuKernelImpl:ZZ}),X9={kernelName:Ii,backendName:"webgl",kernelFunc:K9},Y9=class{constructor(e){this.variableNames=["A"],this.customUniforms=[{name:"minVal",type:"float"},{name:"max
2022-10-18 13:23:49 +02:00
void main() {
float value = getAAtOutCoords();
if (isnan(value)) {
setOutput(value);
return;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
setOutput(clamp(value, minVal, maxVal));
}
2022-12-01 20:56:40 +01:00
`}},Z9=class{constructor(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"minVal",type:"float"},{name:"maxVal",type:"float"}],this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
vec4 value = getAAtOutCoords();
if (any(isnan(value))) {
setOutput(value);
return;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
}
2022-12-01 20:56:40 +01:00
`}};function J9(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{clipValueMin:s,clipValueMax:i}=a,o;H().getBool("WEBGL_PACK_CLIP")?o=new Z9(r.shape):o=new Y9(r.shape);let l=[[s],[i]];return n.runWebGLProgram(o,[r],r.dtype,l)}var Q9={kernelName:gs,backendName:"webgl",kernelFunc:J9},eQ=class{constructor(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
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))
);
}
2022-12-01 20:56:40 +01:00
`}};function oI(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}function tQ(e){let{inputs:t,backend:n}=e,{x:a}=t,r=n.texData.get(a.dataId),s=new eQ(a.shape),i=[oI(a,r.complexTensorInfos.real),oI(a,r.complexTensorInfos.imag)];return n.runWebGLProgram(s,i,i[0].dtype)}var nQ={kernelName:lc,backendName:"webgl",kernelFunc:tQ},aQ=class{constructor(e){this.outputShape=[],this.outputShape=N.computeOutShape(e,1),this.variableNames=e.map((s,i)=>`T${i}`);let t=new Array(e.length-1);t[0]=e[0][1];for(let s=1;s<t.length;s++)t[s]=t[s-1]+e[s][1];let n=[`if (yC < ${t[0]}) setOutput(getT0(yR, yC));`];for(let s=1;s<t.length;s++){let i=t[s-1];n.push(`else if (yC < ${t[s]}) setOutput(getT${s}(yR, yC-${i}));`)}let a=t.length,r=t[t.length-1];n.push(`else setOutput(getT${a}(yR, yC-${r}));`),this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec2 coords = getOutputCoords();
int yR = coords.x;
int yC = coords.y;
${n.join(`
`)}
}
2022-12-01 20:56:40 +01:00
`}},rQ=class{constructor(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=N.computeOutShape(e,t);let n=this.outputShape,a=n.length,r=gt(a),s=kn("coords",a),i=["x","y","z","w","u","v"].slice(0,a);this.variableNames=e.map((m,f)=>`T${f}`);let o=new Array(e.length-1);o[0]=e[0][t];for(let m=1;m<o.length;m++)o[m]=o[m-1]+e[m][t];let l=i[t],u=i.slice(-2),p=i.join(),d=`if (${l} < ${o[0]}) {
2022-10-18 13:23:49 +02:00
return getChannel(
getT0(${p}), vec2(${u.join()}));
}`;for(let m=1;m<o.length;m++){let f=o[m-1];d+=`
if (${l} < ${o[m]} && ${l} >= ${o[m-1]}) {
return getChannel(
2022-12-01 20:56:40 +01:00
getT${m}(${ah(i,l,f)}),
vec2(${ah(u,l,f)}));
2022-10-18 13:23:49 +02:00
}`}let c=o.length,h=o[o.length-1];d+=`
return getChannel(
2022-12-01 20:56:40 +01:00
getT${c}(${ah(i,l,h)}),
vec2(${ah(u,l,h)}));`,this.userCode=`
2022-10-18 13:23:49 +02:00
float getValue(${i.map(m=>"int "+m)}) {
${d}
}
void main() {
${r} coords = getOutputCoords();
vec4 result = vec4(getValue(${s}), 0., 0., 0.);
${s[a-1]} = ${s[a-1]} + 1;
if (${s[a-1]} < ${n[a-1]}) {
result.g = getValue(${s});
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
${s[a-2]} = ${s[a-2]} + 1;
if (${s[a-2]} < ${n[a-2]}) {
result.a = getValue(${s});
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
${s[a-1]} = ${s[a-1]} - 1;
if (${s[a-2]} < ${n[a-2]} &&
${s[a-1]} < ${n[a-1]}) {
result.b = getValue(${s});
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}};function ah(e,t,n){let a=e.indexOf(t);return e.map((r,s)=>s===a?`${r} - ${n}`:r).join()}function Lf(e){let{inputs:t,backend:n}=e,{input:a}=t,r=n.texData.get(a.dataId);return ta({inputs:{x:r.complexTensorInfos.imag},backend:n})}var sQ={kernelName:dm,backendName:"webgl",kernelFunc:Lf};function Op(e,t,n){let a=e[0].dtype;if(a==="complex64"){let h=e.map(b=>sd({inputs:{input:b},backend:n})),m=e.map(b=>Lf({inputs:{input:b},backend:n})),f=Op(h,t,n),g=Op(m,t,n),y=Cs({inputs:{real:f,imag:g},backend:n});return h.forEach(b=>n.disposeIntermediateTensorInfo(b)),m.forEach(b=>n.disposeIntermediateTensorInfo(b)),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),y}let r=n.shouldExecuteOnCPU(e);if(a==="string"&&(r=!0),r){let h=e.map(w=>{let I=[-1,v.sizeFromShape(w.shape.slice(t))];return he({inputs:{x:w},backend:n,attrs:{shape:I}})}),m=h.map(w=>({vals:n.readSync(w.dataId),shape:w.shape})),f=N.computeOutShape(h.map(w=>w.shape),1),g=h[0].shape[0]===1,y=JZ(m,f,a,g),b=N.computeOutShape(e.map(w=>w.shape),t),x=n.makeTensorInfo(b,a,y);return h.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}let s=e.filter(h=>v.sizeFromShape(h.shape)>0),i=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&s[0].shape.length>1;if(s.length===1){let h=i?new rr(e[0].shape,Xr):new es(e[0].shape,Xr);return n.runWebGLProgram(h,e,a)}let o=H().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER");if(s.length>o){let h=[];for(let f=0;f<s.length;f+=o){let g=s.slice(f,f+o);h.push(Op(g,t,n))}let m=Op(h,t,n);for(let f of h)n.disposeIntermediateTensorInfo(f);return m}if(i){let h=new rQ(s.map(m=>m.shape),t);return n.runWebGLProgram(h,s,a)}let{tensors2D:l,outShape:u}=iQ(s,t,n),p=new aQ(l.map(h=>h.shape)),d=n.runWebGLProgram(p,l,a);l.forEach(h=>n.disposeIntermediateTensorInfo(h));let c=he({inputs:{x:d},attrs:{shape:u},backend:n});return n.disposeIntermediateTensorInfo(d),c}function iQ(e,t,n){let a=N.computeOutShape(e.map(r=>r.shape),t);return{tensors2D:e.map(r=>he({inputs:{x:r},attrs:{shape:[-1,v.sizeFromShape(r.shape.slice(t))]},backend:n})),outShape:a}}function n_(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a,s=v.parseAxisParam(r,t[0].shape)[0],i=t.map(u=>u.shape);N.assertParamsConsistent(i,s);let o=N.computeOutShape(t.map(u=>u.shape),s);if(v.sizeFromShape(o)===0)return n.makeTensorInfo(o,t[0].dtype,[]);let l=t.filter(u=>v.sizeFromShape(u.shape)>0);return l.length===1?ta({inputs:{x:l[0]},backend:n}):Op(l,s,n)}var oQ={kernelName:Ml,backendName:"webgl",kernelFunc:n_},a_=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.outputShape=e.outShape;let s=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,l=e.strideWidth,u=e.dilationHeight,p=e.dilationWidth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4,f=e.dataFormat==="channelsLast",g=f?1:2,y=f?2:3,b=f?3:1,x="",w="";n&&(a?x=`float activation(float a) {
2022-10-18 13:23:49 +02:00
float b = getPreluActivationWeightsAtOutCoords();
${n}
}`:r?x=`float activation(float a) {
float b = getLeakyreluAlphaAtOutCoords();
${n}
}`:x=`
float activation(float x) {
${n}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
`,w="result = activation(result);");let I=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${x}
const ivec2 strides = ivec2(${o}, ${l});
const ivec2 pads = ivec2(${s}, ${i});
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d2 = coords[${b}];
ivec2 xRCCorner =
ivec2(coords[${g}], coords[${y}]) * strides - pads;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < ${d}; wR++) {
int xR = xRCorner + wR * ${u};
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
for (int wC = 0; wC < ${c}; wC++) {
int xC = xCCorner + wC * ${p};
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
for (int d1 = 0; d1 < ${h}; d1 += 4) {
vec4 wValues = vec4(
getW(wR, wC, d1, d2),
getW(wR, wC, d1 + 1, d2),
getW(wR, wC, d1 + 2, d2),
getW(wR, wC, d1 + 3, d2)
);
if (${f}) {
vec4 xValues = vec4(
getX(batch, xR, xC, d1),
getX(batch, xR, xC, d1 + 1),
getX(batch, xR, xC, d1 + 2),
getX(batch, xR, xC, d1 + 3)
);
dotProd += dot(xValues, wValues);
} else {
vec4 xValues = vec4(
getX(batch, d1, xR, xC),
getX(batch, d1 + 1, xR, xC),
getX(batch, d1 + 2, xR, xC),
getX(batch, d1 + 3, xR, xC)
);
dotProd += dot(xValues, wValues);
}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
if (${m===1}) {
if (${f}) {
dotProd +=
getX(batch, xR, xC, ${h}) *
getW(wR, wC, ${h}, d2);
} else {
dotProd +=
getX(batch, ${h}, xR, xC) *
getW(wR, wC, ${h}, d2);
}
} else if (${m===2}) {
vec2 wValues = vec2(
getW(wR, wC, ${h}, d2),
getW(wR, wC, ${h} + 1, d2)
);
if (${f}) {
vec2 xValues = vec2(
getX(batch, xR, xC, ${h}),
getX(batch, xR, xC, ${h} + 1)
);
dotProd += dot(xValues, wValues);
} else {
vec2 xValues = vec2(
getX(batch, ${h}, xR, xC),
getX(batch, ${h} + 1, xR, xC)
);
dotProd += dot(xValues, wValues);
}
} else if (${m===3}) {
vec3 wValues = vec3(
getW(wR, wC, ${h}, d2),
getW(wR, wC, ${h} + 1, d2),
getW(wR, wC, ${h} + 2, d2)
);
if (${f}) {
vec3 xValues = vec3(
getX(batch, xR, xC, ${h}),
getX(batch, xR, xC, ${h} + 1),
getX(batch, xR, xC, ${h} + 2)
);
dotProd += dot(xValues, wValues);
} else {
vec3 xValues = vec3(
getX(batch, ${h}, xR, xC),
getX(batch, ${h} + 1, xR, xC),
getX(batch, ${h} + 2, xR, xC)
);
dotProd += dot(xValues, wValues);
}
2021-05-18 14:11:17 +02:00
}
2021-04-01 19:39:54 +02:00
}
2022-03-07 19:17:31 +01:00
}
2022-10-18 13:23:49 +02:00
float result = dotProd;
${I}
${w}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}},lQ=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let t=e.padInfo.front,n=e.padInfo.top,a=e.padInfo.left,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=e.dilationDepth,l=e.dilationHeight,u=e.dilationWidth,p=e.filterDepth,d=e.filterHeight,c=e.filterWidth,h=Math.floor(e.inChannels/4)*4,m=e.inChannels%4;this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec3 strides = ivec3(${r}, ${s}, ${i});
const ivec3 pads = ivec3(${t}, ${n}, ${a});
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int d2 = coords.u;
ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
int xFCorner = xFRCCorner.x;
int xRCorner = xFRCCorner.y;
int xCCorner = xFRCCorner.z;
// Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get
// y(yF, yR, yC, d2). ? = to be determined. : = across all
// values in that axis.
float dotProd = 0.0;
for (int wF = 0; wF < ${p}; wF++) {
int xF = xFCorner + wF * ${o};
if (xF < 0 || xF >= ${e.inDepth}) {
continue;
2022-03-07 19:17:31 +01:00
}
2022-10-18 13:23:49 +02:00
for (int wR = 0; wR < ${d}; wR++) {
int xR = xRCorner + wR * ${l};
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
2022-03-07 19:17:31 +01:00
}
2022-10-18 13:23:49 +02:00
for (int wC = 0; wC < ${c}; wC++) {
int xC = xCCorner + wC * ${u};
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
for (int d1 = 0; d1 < ${h}; d1 += 4) {
vec4 xValues = vec4(
getX(batch, xF, xR, xC, d1),
getX(batch, xF, xR, xC, d1 + 1),
getX(batch, xF, xR, xC, d1 + 2),
getX(batch, xF, xR, xC, d1 + 3)
);
vec4 wValues = vec4(
getW(wF, wR, wC, d1, d2),
getW(wF, wR, wC, d1 + 1, d2),
getW(wF, wR, wC, d1 + 2, d2),
getW(wF, wR, wC, d1 + 3, d2)
);
dotProd += dot(xValues, wValues);
}
if (${m===1}) {
dotProd +=
getX(batch, xF, xR, xC, ${h}) *
getW(wF, wR, wC, ${h}, d2);
} else if (${m===2}) {
vec2 xValues = vec2(
getX(batch, xF, xR, xC, ${h}),
getX(batch, xF, xR, xC, ${h} + 1)
);
vec2 wValues = vec2(
getW(wF, wR, wC, ${h}, d2),
getW(wF, wR, wC, ${h} + 1, d2)
);
dotProd += dot(xValues, wValues);
} else if (${m===3}) {
vec3 xValues = vec3(
getX(batch, xF, xR, xC, ${h}),
getX(batch, xF, xR, xC, ${h} + 1),
getX(batch, xF, xR, xC, ${h} + 2)
);
vec3 wValues = vec3(
getW(wF, wR, wC, ${h}, d2),
getW(wF, wR, wC, ${h} + 1, d2),
getW(wF, wR, wC, ${h} + 2, d2)
);
dotProd += dot(xValues, wValues);
2022-03-07 19:17:31 +01:00
}
}
}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
setOutput(dotProd);
2022-03-07 19:17:31 +01:00
}
2022-12-01 20:56:40 +01:00
`}},r_=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=En(this.outputShape.length);let s=e.padInfo.left,i=e.strideWidth,o=e.dilationWidth,l=e.filterHeight,u=e.filterWidth,p=u,d=`
2022-10-18 13:23:49 +02:00
int xR; int xC; int xCOffset;
vec4 wTexel; vec4 previous; vec4 final;`;for(let f=0;f<u;f++)d+=`
vec4 xTexelC${f*2};
int xTexelC${f*2}Ready;
vec4 xTexelC${f*2+1};
int xTexelC${f*2+1}Ready;
vec4 xC${f};`;d+=`
for (int r = 0; r < ${l}; r++) {
for (int d1 = 0; d1 < ${e.inChannels}; d1 += 2) {
`;for(let f=0;f<u;f++)d+=`
xTexelC${f*2} = vec4(0.0);
xTexelC${f*2}Ready = 0;
xTexelC${f*2+1} = vec4(0.0);
xTexelC${f*2+1}Ready = 0;
xC${f} = vec4(0.0);`;d+=`
xR = xRCorner + r * dilations[0];
if (xR >=0 && xR < inDims[0]) {
`;for(let f=0;f<(p+1)/2;f++){let g=f*2;if(d+=`
xC = xCCorner + ${g*o};
`,i===1){if(g<u&&(s%2===1?(d+=`
xCOffset = xC + 1;
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${g}Ready == 0) {
xTexelC${g} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${g}.zw = vec2(0.0);
}
xTexelC${g}Ready = 1;
}
`,o===1&&g>0?d+=`
xC${g} = vec4(xTexelC${g-2}.zw, xTexelC${g}.xy);
`:d+=`
xCOffset = xC + 1 - 2;
if (xCOffset >= 0 && xCOffset < inDims[1]) {
previous = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
previous.zw = vec2(0.0);
}
xC${g} = vec4(previous.zw, xTexelC${g}.xy);
} else {
xC${g} = vec4(0.0, 0.0, xTexelC${g}.xy);
}
`):d+=`
if (xC >= 0 && xC < inDims[1] && xTexelC${g}Ready == 0) {
xTexelC${g} = getX(batch, xR, xC, d1);
if (xC + 1 >= inDims[1]) {
xTexelC${g}.zw = vec2(0.0);
}
xTexelC${g}Ready = 1;
}
xC${g} = xTexelC${g};
`,g+1<u)){let y=s%2===0?v.nearestLargerEven(o):o;o%2===0&&s%2===1||o%2!==0&&s%2!==1?(d+=`
xCOffset = xC + imod(pads[1], 2) + ${y};
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${g+1}Ready == 0) {
xTexelC${g+1} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${g+1}.zw = vec2(0.0);
}
xTexelC${g+1}Ready = 1;
}
`,o>1?d+=`
xCOffset -= 2;
if (xCOffset >= 0 && xCOffset < inDims[1]) {
previous = getX(batch, xR, xCOffset, d1);
xC${g+1} = vec4(previous.zw, xTexelC${g+1}.xy);
} else {
xC${g+1} = vec4(0.0, 0.0, xTexelC${g+1}.xy);
}
`:d+=`
xC${g+1} = vec4(xTexelC${g}.zw, xTexelC${g+1}.xy);
`):y===1?d+=`
xC${g+1} = xTexelC${g};
`:d+=`
xCOffset = xC + ${y};
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${g+1}Ready == 0) {
xTexelC${g+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= inDims[1]) {
xTexelC${g+1}.zw = vec2(0.0);
}
xTexelC${g+1}Ready = 1;
}
xC${g+1} = xTexelC${g+1};
`}}else g<u&&(s%2===1?(d+=`
xCOffset = xC + 1 - strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${g}Ready == 0) {
xTexelC${g} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${g}.zw = vec2(0.0);
}
xTexelC${g}Ready = 1;
}
if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${g+1}Ready == 0) {
xTexelC${g+1} = getX(batch, xR, xC + 1, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xC + 2 >= inDims[1]) {
xTexelC${g+1}.zw = vec2(0.0);
}
xTexelC${g+1}Ready = 1;
}
xC${g} = vec4(xTexelC${g}.zw, xTexelC${g+1}.zw);
`,g+1<u&&(d+=`
final = vec4(0.0);
xCOffset = xC + 1 + strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1]) {
final = getX(batch, xR, xCOffset, d1);
}
xC${g+1} = vec4(xTexelC${g+1}.xy, final.xy);
`)):(d+=`
if(xC >= 0 && xC < inDims[1] && xTexelC${g}Ready == 0) {
xTexelC${g} = getX(batch, xR, xC, d1);
if (xC + 1 >= inDims[1]) {
xTexelC${g}.zw = vec2(0.0);
}
xTexelC${g}Ready = 1;
}
xCOffset = xC + strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${g+1}Ready == 0) {
xTexelC${g+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= inDims[1]) {
xTexelC${g+1}.zw = vec2(0.);
}
xTexelC${g+1}Ready = 1;
}
xC${g} = vec4(
xTexelC${g}.xy, xTexelC${g+1}.xy);
`,g+1<u&&(d+=`
xC${g+1} = vec4(xTexelC${g}.zw, xTexelC${g+1}.zw);
`)));g<u&&(d+=`
wTexel = getW(r, ${g}, d1, d2);
dotProd += xC${g}.xxzz * vec4(wTexel.xy, wTexel.xy);
if(d1 + 1 < ${e.inChannels}) {
dotProd += xC${g}.yyww * vec4(wTexel.zw, wTexel.zw);
}
`,g+1<u&&(d+=`
wTexel = getW(r, ${g+1}, d1, d2);
dotProd += xC${g+1}.xxzz * vec4(wTexel.xy, wTexel.xy);
if(d1 + 1 < ${e.inChannels}) {
dotProd += xC${g+1}.yyww * vec4(wTexel.zw, wTexel.zw);
}
`))}d+=`
}
`,d+=`
}
`,d+=`
}
`;let c="",h="";n&&(a?c=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
${n}
}`:r?c=`vec4 activation(vec4 a) {
vec4 b = getLeakyreluAlphaAtOutCoords();
${n}
}`:c=`vec4 activation(vec4 x) {
${n}
}`,h="result = activation(result);");let m=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${c}
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
//intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.
vec4 dotProd = vec4(0.000000000000001);
${d}
vec4 result = dotProd - vec4(0.000000000000001);
${m}
${h}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}},uQ=class{constructor(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"inputShape",type:"ivec4"},{name:"pad",type:"ivec2"},{name:"stride",type:"ivec2"},{name:"dilation",type:"ivec2"},{name:"inChannels",type:"int"},{name:"itemsPerBlockRow",type:"int"},{name:"outWidth",type:"int"}],this.outputShape=e,this.enableShapeUniforms=En(this.outputShape.length);let{dataFormat:n}=t,a=Cn(),r=n==="channelsLast",s=r?1:2,i=r?2:3,o=this.enableShapeUniforms?"if(blockIndex < outShape[2] && pos < outShape[1]) {":`if(blockIndex < ${e[2]} && pos < ${e[1]}) {`,l="";for(let u=0;u<=1;u++)for(let p=0;p<=1;p++)l+=`
2022-10-18 13:23:49 +02:00
blockIndex = rc.z + ${p};
pos = rc.y + ${u};
${o}
offsetY = int(blockIndex / outWidth) * stride[0] - pad[0];
d0 = offsetY + dilation[0] * (pos / itemsPerBlockRow);
if(d0 < inputShape[${s}] && d0 >= 0) {
// Use custom imod instead mod. On Intel GPU, mod may generate
// unexpected value.
// https://github.com/tensorflow/tfjs/issues/5447
offsetX = imod(blockIndex, outWidth) * stride[1] - pad[1];
d1 = offsetX + dilation[1] * (imod(pos, itemsPerBlockRow) /
inChannels);
if(d1 < inputShape[${i}] && d1 >= 0) {
ch = imod(pos, inChannels);
if (${r}) {
innerDims = vec2(d1, ch);
result[${u*2+p}] = getChannel(
getA(rc.x, d0, int(innerDims.x),
int(innerDims.y)), innerDims);
} else {
innerDims = vec2(d0, d1);
result[${u*2+p}] = getChannel(
getA(rc.x, ch, int(innerDims.x),
int(innerDims.y)), innerDims);
}
}
}
}
`;this.userCode=`
void main() {
ivec3 rc = getOutputCoords();
vec4 result = vec4(0);
int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
vec2 innerDims;
${l}
${a.output} = result;
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}};function Uh(e,t){let n=e.length;return n>=3?t?[...e.slice(0,-3),e[n-3]*e[n-2],e[n-1]]:[...e.slice(0,-3),e[n-3],e[n-2]*e[n-1]]:!t&&n===1&&e[0]>1?[e[0],1]:null}function s_({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let l=e.shape,u=a.texData.get(e.dataId),p=n.inChannels,d=l[0]*l[1]*l[2],c=n.outChannels,h=n.dataFormat==="channelsLast",m=!1,f=!1,g,y=[];if(s!=null){let b=Uh(s.shape,h);b!=null&&(s=he({inputs:{x:s},backend:a,attrs:{shape:b}}),y.push(s))}if(r!=null){let b=Uh(r.shape,h);b!=null&&(r=he({inputs:{x:r},backend:a,attrs:{shape:b}}),y.push(r))}if(!((d===1||c===1)&&p>ZE)&&u.isPacked&&h&&u.texture!=null&&l[2]%2!==0&&v.arraysEqual(u.shape.slice(-3),l.slice(-3))){let b=l[0]*l[1]*(l[2]+1),x={dataId:e.dataId,shape:[1,b,n.inChannels],dtype:e.dtype},w=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,v.assert(ec(u.shape,x.shape),()=>`packed reshape ${u.shape} to ${x.shape} isn't free`);let I=he({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}});y.push(I);let T=Vh({a:x,b:I,backend:a,transposeA:m,transposeB:f,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i}),C=a.texData.get(T.dataId);v.assert(C.isPacked,()=>"batchMatMul result is expected to be packed"),u.shape=w,C.shape=n.outShape,g=ta({inputs:{x:T},backend:a}),g.shape=n.outShape,y.push(T)}else{let b=n.outHeight*n.outWidth,x=he({inputs:{x:e},backend:a,attrs:{shape:h?[n.batchSize,b,n.inChannels]:[n.batchSize,n.inChannels,b]}}),w=he({inputs:{x:t},backend:a,attrs:{shape:[1,n.inChannels,n.outChannels]}}),I=Vh({a:h?x:w,b:h?w:x,transposeA:!h,transposeB:f,backend:a,bias:r,activation:o,preluActivationWeights:s,leakyreluAlpha:i});g=he({inputs:{x:I},backend:a,attrs:{shape:n.outShape}}),y.push(x),y.push(w),y.push(I)}for(let b of y)a.disposeIntermediateTensorInfo(b);return g}function i_({x:e,filter:t,convInfo:n,backend:a,bias:r=null,preluActivationWeights:s=null,leakyreluAlpha:i=0,activation:o=null}){let{filterWidth:l,filterHeight:u,inChannels:p,outWidth:d,outHeight:c,dataFormat:h}=n,m=h==="channelsLast",f=l*u*p,g=c*d,y=[n.batchSize,f,g],b=!0,x=!1,w=[];if(s!=null){let K=Uh(s.shape,m);K!=null&&(s=he({inputs:{x:s},backend:a,attrs:{shape:K}}),w.push(s))}if(r!=null){let K=Uh(r.shape,m);K!=null&&(r=he({inputs:{x:r},backend:a,attrs:{shape:K}}),w.push(r))}let I=he({inputs:{x:t},backend:a,attrs:{shape:[1,f,v.sizeFromShape(t.shape)/f]}});w.push(I);let T=new uQ(y,n),C=[e.shape,[n.padInfo.top,n.padInfo.left],[n.strideHeight,n.strideWidth],[n.dilationHeight,n.dilationWidth],[n.inChannels],[n.filterWidth*n.inChannels],[n.outWidth]],_=a.runWebGLProgram(T,[e],"float32",C),$=he({inputs:{x:_},backend:a,attrs:{shape:y}});w.push(_),w.push($);let R=r!=null,F=s!=null,S=o==="leakyrelu",M=o?tc(o,!0):null,B=new YE(m?$.shape:I.shape,m?I.shape:$.shape,m?[n.batchSize,g,n.outChannels]:[n.batchSize,n.outChannels,g],b,x,R,M,F,S),U=m?[$,I]:[I,$];if(r&&U.push(r),F&&U.push(s),S){let K=a.makeTensorInfo([],"float32",v.createScalarValue(i,"float32"));U.push(K),w.push(K)}let G=a.runWebGLProgram(B,U,"float32"),q=he({inputs:{x:G},backend:a,attrs:{shape:n.outShape}});w.push(G);for(let K of w)a.disposeIntermediateTensorInfo(K);return q}function pQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dataFormat:l,dilations:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,s.shape,i,u,o,p,!1,d),h;if(c.filterHeight===1&&c.filterWidth===1&&c.dilationHeight===1&&c.dilationWidth===1&&c.strideHeight===1&&c.strideWidth===1&&(c.padInfo.type==="SAME"||c.padInfo.type==="VALID"))h=s_({x:r,filter:s,convInfo:c,backend:n});else if(c.strideWidth<=2&&d==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let f=new r_(c),g=[[c.padInfo.top,c.padInfo.left],[c.strideHeight,c.strideWidth],[c.dilationHeight,c.dilationWidth],[c.inHeight,c.inWidth]];h=n.runWebGLProgram(f,[r,s],"float32",g)}else if(H().getBool("WEBGL_CONV_IM2COL"))h=i_({x:r,filter:s,convInfo:c,backend:n});else{let f=new a_(c);h=n.runWebGLProgram(f,[r,s],"float32")}let m=he({inputs:{x:h},backend:n,attrs:{shape:c.outShape
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int d2 = coords.w;
// Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int b = 0; b < ${e.batchSize}; b++) {
for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${t} - ${a};
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${r};
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
if (${s}) {
float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
} else {
float dyValue = getDy(b, d2, yR, yC);
float xValue = getX(b, d1, xR, xC);
dotProd += (xValue * dyValue);
}
}
}
}
setOutput(dotProd);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}},hQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=e.dataFormat==="channelsLast",i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,l=s?1:2,u=s?2:3,p=s?3:1;this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec2 pads = ivec2(${i}, ${o});
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d1 = coords[${p}];
ivec2 dyCorner = ivec2(coords[${l}], coords[${u}]) - pads;
int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
// Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < ${t}; wR++) {
float dyR = float(dyRCorner + wR) / ${a}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
int wRPerm = ${t} - 1 - wR;
for (int wC = 0; wC < ${n}; wC++) {
float dyC = float(dyCCorner + wC) / ${r}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
int wCPerm = ${n} - 1 - wC;
for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
if (${s}) {
float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
} else {
float xValue = getDy(batch, d2, idyR, idyC);
float wValue = getW(wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
}
}
}
}
setOutput(dotProd);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}},mQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.padInfo.front,s=e.padInfo.top,i=e.padInfo.left;this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec5 coords = getOutputCoords();
int wF = coords.x;
int wR = coords.y;
int wC = coords.z;
int d1 = coords.w;
int d2 = coords.u;
float dotProd = 0.0;
for (int b = 0; b < ${e.batchSize}; b++) {
for (int yF = 0; yF < ${e.outDepth}; yF++) {
int xF = wF + yF * ${t} - ${r};
if (xF < 0 || xF >= ${e.inDepth}) {
continue;
}
for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${n} - ${s};
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${a} - ${i};
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
float dyValue = getDy(b, yF, yR, yC, d2);
float xValue = getX(b, xF, xR, xC, d1);
dotProd += (xValue * dyValue);
}
}
}
}
setOutput(dotProd);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}},fQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterDepth,n=e.filterHeight,a=e.filterWidth,r=e.strideDepth,s=e.strideHeight,i=e.strideWidth,o=t-1-e.padInfo.front,l=n-1-e.padInfo.top,u=a-1-e.padInfo.left;this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec3 pads = ivec3(${o}, ${l}, ${u});
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int d1 = coords.u;
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyFCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
float dotProd = 0.0;
for (int wF = 0; wF < ${t}; wF++) {
float dyF = float(dyFCorner + wF) / ${r}.0;
if (dyF < 0.0 || dyF >= ${e.outDepth}.0 || fract(dyF) > 0.0) {
continue;
}
int idyF = int(dyF);
int wFPerm = ${t} - 1 - wF;
for (int wR = 0; wR < ${n}; wR++) {
float dyR = float(dyRCorner + wR) / ${s}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
int wRPerm = ${n} - 1 - wR;
for (int wC = 0; wC < ${a}; wC++) {
float dyC = float(dyCCorner + wC) / ${i}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
int wCPerm = ${a} - 1 - wC;
for (int d2 = 0; d2 < ${e.outChannels}; d2++) {
float xValue = getDy(batch, idyF, idyR, idyC, d2);
float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);
dotProd += xValue * wValue;
}
}
}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
setOutput(dotProd);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}};function gQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,dataFormat:l,dimRoundingMode:u,filterShape:p}=a,d=N.convertConv2DDataFormat(l),c=N.computeConv2DInfo(r.shape,p,i,1,o,u,!1,d),h=new dQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var yQ={kernelName:tm,backendName:"webgl",kernelFunc:gQ};function bQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{inputShape:i,strides:o,pad:l,dataFormat:u,dimRoundingMode:p}=a,d=N.convertConv2DDataFormat(u),c=N.computeConv2DInfo(i,s.shape,o,1,l,p,!1,d),h=new hQ(c);return n.runWebGLProgram(h,[r,s],"float32")}var xQ={kernelName:Ti,backendName:"webgl",kernelFunc:bQ};function vQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeConv3DInfo(r.shape,s.shape,i,l,o),p=new lQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var wQ={kernelName:uc,backendName:"webgl",kernelFunc:vQ};function kQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,pad:o,filterShape:l}=a,u=N.computeConv3DInfo(r.shape,l,i,1,o),p=new mQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var IQ={kernelName:nm,backendName:"webgl",kernelFunc:kQ};function SQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{pad:i,strides:o,inputShape:l}=a,u=N.computeConv3DInfo(l,s.shape,o,1,i),p=new fQ(u);return n.runWebGLProgram(p,[r,s],"float32")}var TQ={kernelName:am,backendName:"webgl",kernelFunc:SQ},NQ=Gu+`
2022-10-18 13:23:49 +02:00
return cos(x);
2022-12-01 20:56:40 +01:00
`,CQ=Ye({opSnippet:NQ}),EQ={kernelName:Ni,backendName:"webgl",kernelFunc:CQ},_Q=`
2022-10-18 13:23:49 +02:00
float e2x = exp(-x);
return (e2x + 1.0 / e2x) / 2.0;
2022-12-01 20:56:40 +01:00
`,AQ=Ye({opSnippet:_Q}),$Q={kernelName:Ci,backendName:"webgl",kernelFunc:AQ},FQ=class{constructor(e,t,n,a,r){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];let[s,i,o,l]=e,[u]=t,[p,d]=n;this.outputShape=[u,p,d,l];let c=a==="bilinear"?1:0,[h,m]=[`${i-1}.0`,`${o-1}.0`],[f,g,y]=p>1?[`${(i-1)/(p-1)}`,"(y2-y1) * height_ratio",`y1*${h} + float(y)*(height_scale)`]:["0.0","0.0",`0.5 * (y1+y2) * ${h}`],[b,x,w]=d>1?[`${(o-1)/(d-1)}`,"(x2-x1) * width_ratio",`x1*${m} + float(x)*(width_scale)`]:["0.0","0.0",`0.5 * (x1+x2) * ${m}`];this.userCode=`
2022-10-18 13:23:49 +02:00
const float height_ratio = float(${f});
const float width_ratio = float(${b});
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int y = coords[1];
int x = coords[2];
int d = coords[3];
// get box vals
float y1 = getBoxes(b,0);
float x1 = getBoxes(b,1);
float y2 = getBoxes(b,2);
float x2 = getBoxes(b,3);
// get image in batch index
int bInd = round(getBoxInd(b));
if(bInd < 0 || bInd >= ${s}) {
return;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
float height_scale = ${g};
float width_scale = ${x};
float in_y = ${y};
if( in_y < 0.0 || in_y > ${h} ) {
setOutput(float(${r}));
return;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
float in_x = ${w};
if( in_x < 0.0 || in_x > ${m} ) {
setOutput(float(${r}));
return;
}
vec2 sourceFracIndexCR = vec2(in_x,in_y);
if(${c} == 1) {
// Compute the four integer indices.
ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);
ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));
float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);
float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);
float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);
float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);
vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);
float top = topLeft + (topRight - topLeft) * fracCR.x;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;
float newValue = top + (bottom - top) * fracCR.y;
setOutput(newValue);
} else {
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestCR = ivec2(floor(
sourceFracIndexCR + vec2(0.5,0.5)));
float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);
setOutput(newValue);
2022-10-18 13:10:36 +02:00
}
}
2022-12-01 20:56:40 +01:00
`}},DQ=e=>{let{inputs:t,backend:n,attrs:a}=e,{image:r,boxes:s,boxInd:i}=t,{cropSize:o,method:l,extrapolationValue:u}=a,p=new FQ(r.shape,s.shape,o,l,u);return n.runWebGLProgram(p,[r,s,i],"float32")},RQ={kernelName:Ol,backendName:"webgl",kernelFunc:DQ},ac;(function(e){e.Prod="*",e.Sum="+"})(ac||(ac={}));var lI=class{constructor(e,t,n,a){this.op=e,this.outputShape=t,this.variableNames=["x"],this.customUniforms=[{name:"index",type:"float"}];let r=this.outputShape.length,s=this.op===ac.Prod?"1.0":"0.0",i=n?s:`getX(${uI(r,"coords",this.op)})`,o=this.outputShape[this.outputShape.length-1],l="",u="";n?(l=a?`end != ${o-1}`:"end != 0",u=a?"end + 1":"end - 1"):(l=a?`end + pow2 < ${o}`:"end >= pow2",u=a?"end + pow2":"end - pow2"),this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${gt(r)} coords = getOutputCoords();
2022-12-01 20:56:40 +01:00
int end = ${pI(r,"coords",this.op)};
2022-10-18 13:23:49 +02:00
float val = ${i};
int pow2 = int(pow(2.0, index));
if (${l}) {
int idx = ${u};
2022-12-01 20:56:40 +01:00
${pI(r,"coords",this.op)} = idx;
val ${this.op}= getX(${uI(r,"coords",this.op)});
2022-10-18 13:23:49 +02:00
}
setOutput(val);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}};function uI(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.x, ${t}.y`;if(e===3)return`${t}.x, ${t}.y, ${t}.z`;if(e===4)return`${t}.x, ${t}.y, ${t}.z, ${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function pI(e,t,n){if(e===1)return`${t}`;if(e===2)return`${t}.y`;if(e===3)return`${t}.z`;if(e===4)return`${t}.w`;throw new Error(`Cumulative ${n} for rank ${e} is not yet supported`)}function o_(e,t,n,a,r,s){let i=t.shape.length,o=N.getAxesPermutation([a],i),l=t;o!=null&&(l=In({inputs:{x:t},backend:n,attrs:{perm:o}}));let u=N.getInnerMostAxes(1,i)[0];if(u!==i-1)throw new Error(`WebGL cumprod shader expects an inner-most axis=${t.shape.length-1} but got axis=${a}`);let p=l.shape[u],d=ta({inputs:{x:l},backend:n});for(let c=0;c<=Math.ceil(Math.log2(p))-1;c++){let h=new lI(e,l.shape,!1,s),m=[[c]],f=d;d=n.runWebGLProgram(h,[d],d.dtype,m),n.disposeIntermediateTensorInfo(f)}if(r){let c=new lI(e,l.shape,r,s),h=d;d=n.runWebGLProgram(c,[d],d.dtype),n.disposeIntermediateTensorInfo(h)}if(o!=null){let c=N.getUndoAxesPermutation(o),h=In({inputs:{x:d},backend:n,attrs:{perm:c}});return n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(l),h}return d}function MQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return o_(ac.Prod,r,n,s,i,o)}var PQ={kernelName:Pl,backendName:"webgl",kernelFunc:MQ};function OQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,exclusive:i,reverse:o}=a;return o_(ac.Sum,r,n,s,i,o)}var LQ={kernelName:Ei,backendName:"webgl",kernelFunc:OQ};function zQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,weights:s}=t,{size:i,binaryOutput:o}=a;if(r.shape.length===1){let l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=WE(l,u,s.dtype,s.shape,i);return n.makeTensorInfo([i],s.dtype,p)}else if(r.shape.length===2){let l=n.bufferSync(r),u=n.bufferSync(s),p=XZ(l,u,i,o);return n.makeTensorInfo(p.shape,s.dtype,p.values)}throw new Error(`Error in denseBincount: input must be at most rank 2, but got rank${r.shape.length}.`)}var WQ={kernelName:rm,backendName:"webgl",kernelFunc:zQ},BQ=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int h = ${this.getHeightCoordString()};
int w = ${this.getWidthCoordString()};
int d = ${this.getDepthCoordString()};
int in_h = h / ${t};
int offset_h = imod(h, ${t});
int in_w = w / ${t};
int offset_w = imod(w, ${t});
int offset_d = (offset_h * ${t} + offset_w) *
${this.getOutputDepthSize()};
int in_d = d + offset_d;
float result = ${this.getInputSamplingString()};
setOutput(result);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}getHeightCoordString(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"}getWidthCoordString(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"}getDepthCoordString(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"}getOutputDepthSize(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]}getInputSamplingString(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}};function VQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockSize:s,dataFormat:i}=a,o=r.shape[0],l=i==="NHWC"?r.shape[1]:r.shape[2],u=i==="NHWC"?r.shape[2]:r.shape[3],p=i==="NHWC"?r.shape[3]:r.shape[1],d=l*s,c=u*s,h=p/(s*s),m=i==="NHWC"?[o,d,c,h]:[o,h,d,c],f=new BQ(m,s,i);return n.runWebGLProgram(f,[r],r.dtype)}var UQ={kernelName:Ll,backendName:"webgl",kernelFunc:VQ},l_=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=En(this.outputShape.length);let s=e.filterHeight,i=e.filterWidth,o=e.outChannels/e.inChannels,l="",u="";n&&(a?l=`float activation(float a) {
2022-10-18 13:23:49 +02:00
float b = getPreluActivationWeightsAtOutCoords();
${n}
}`:r?l=`float activation(float a) {
float b = getLeakyreluAlphaAtOutCoords();
${n}
}`:l=`
float activation(float x) {
${n}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
`,u="result = activation(result);");let p=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${l}
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
int d1 = d2 / ${o};
int q = d2 - d1 * ${o};
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
// Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
// TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.
for (int wR = 0; wR < ${s}; wR++) {
int xR = xRCorner + wR * dilations[0];
if (xR < 0 || xR >= inDims[0]) {
continue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
for (int wC = 0; wC < ${i}; wC++) {
int xC = xCCorner + wC * dilations[1];
if (xC < 0 || xC >= inDims[1]) {
continue;
}
float xVal = getX(batch, xR, xC, d1);
float wVal = getW(wR, wC, d1, q);
dotProd += xVal * wVal;
2022-10-18 13:10:36 +02:00
}
}
2022-10-18 13:23:49 +02:00
float result = dotProd;
${p}
${u}
setOutput(result);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}},u_=class{constructor(e,t=!1,n=null,a=!1,r=!1){this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"pads",type:"ivec2"},{name:"strides",type:"ivec2"},{name:"dilations",type:"ivec2"},{name:"inDims",type:"ivec2"}],this.outputShape=e.outShape,this.enableShapeUniforms=En(this.outputShape.length);let s=e.outChannels/e.inChannels,i=e.padInfo.left,o=e.strideWidth,l=e.dilationWidth,u=e.filterHeight,p=e.filterWidth,d=p,c=`
2022-10-18 13:23:49 +02:00
int xR; int xC; int xCOffset;
vec4 wTexel; vec4 previous; vec4 final;`;for(let g=0;g<p;g++)c+=`
vec4 xTexelC${g*2};
int xTexelC${g*2}Ready;
vec4 xTexelC${g*2+1};
int xTexelC${g*2+1}Ready;
vec4 xC${g};`;c+=`
for (int r = 0; r < ${u}; r++) {
`;for(let g=0;g<p;g++)c+=`
xTexelC${g*2} = vec4(0.0);
xTexelC${g*2}Ready = 0;
xTexelC${g*2+1} = vec4(0.0);
xTexelC${g*2+1}Ready = 0;
xC${g} = vec4(0.0);`;c+=`
xR = xRCorner + r * dilations[0];
if (xR >=0 && xR < inDims[0]) {
`;for(let g=0;g<(d+1)/2;g++){let y=g*2;if(c+=`
xC = xCCorner + ${y*l};
`,o===1){if(y<p&&(i%2===1?(c+=`
xCOffset = xC + 1;
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y}Ready == 0) {
xTexelC${y} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y}.zw = vec2(0.0);
}
xTexelC${y}Ready = 1;
}
`,l===1&&y>0?c+=`
xC${y} = vec4(xTexelC${y-2}.zw, xTexelC${y}.xy);
`:c+=`
xCOffset = xC + 1 - 2;
if (xCOffset >= 0 && xCOffset < inDims[1]) {
previous = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
previous.zw = vec2(0.0);
}
xC${y} = vec4(previous.zw, xTexelC${y}.xy);
} else {
xC${y} = vec4(0.0, 0.0, xTexelC${y}.xy);
}
`):c+=`
if (xC >= 0 && xC < inDims[1] && xTexelC${y}Ready == 0) {
xTexelC${y} = getX(batch, xR, xC, d1);
if (xC + 1 >= inDims[1]) {
xTexelC${y}.zw = vec2(0.0);
}
xTexelC${y}Ready = 1;
}
xC${y} = xTexelC${y};
`,y+1<p)){let b=i%2===0?v.nearestLargerEven(l):l;l%2===0&&i%2===1||l%2!==0&&i%2!==1?(c+=`
xCOffset = xC + imod(pads[1], 2) + ${b};
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y+1}Ready == 0) {
xTexelC${y+1} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y+1}.zw = vec2(0.0);
}
xTexelC${y+1}Ready = 1;
}
`,l>1?c+=`
xCOffset -= 2;
if (xCOffset >= 0 && xCOffset < inDims[1]) {
previous = getX(batch, xR, xCOffset, d1);
xC${y+1} = vec4(previous.zw, xTexelC${y+1}.xy);
} else {
xC${y+1} = vec4(0.0, 0.0, xTexelC${y+1}.xy);
}
`:c+=`
xC${y+1} = vec4(xTexelC${y}.zw, xTexelC${y+1}.xy);
`):b===1?c+=`
xC${y+1} = xTexelC${y};
`:c+=`
xCOffset = xC + ${b};
if (xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y+1}Ready == 0) {
xTexelC${y+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y+1}.zw = vec2(0.0);
}
xTexelC${y+1}Ready = 1;
}
xC${y+1} = xTexelC${y+1};
`}}else y<p&&(i%2===1?(c+=`
xCOffset = xC + 1 - strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y}Ready == 0) {
xTexelC${y} = getX(batch, xR, xCOffset, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y}.zw = vec2(0.0);
}
xTexelC${y}Ready = 1;
}
if(xC + 1 >= 0 && xC + 1 < inDims[1] && xTexelC${y+1}Ready == 0) {
xTexelC${y+1} = getX(batch, xR, xC + 1, d1);
// Need to manually clear unused channels in case
// we're reading from recycled texture.
if (xC + 2 >= inDims[1]) {
xTexelC${y+1}.zw = vec2(0.0);
}
xTexelC${y+1}Ready = 1;
}
xC${y} = vec4(xTexelC${y}.zw, xTexelC${y+1}.zw);
`,y+1<p&&(c+=`
final = vec4(0.0);
xCOffset = xC + 1 + strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1]) {
final = getX(batch, xR, xCOffset, d1);
}
xC${y+1} = vec4(xTexelC${y+1}.xy, final.xy);
`)):(c+=`
if(xC >= 0 && xC < inDims[1] && xTexelC${y}Ready == 0) {
xTexelC${y} = getX(batch, xR, xC, d1);
if (xC + 1 >= inDims[1]) {
xTexelC${y}.zw = vec2(0.0);
}
xTexelC${y}Ready = 1;
}
xCOffset = xC + strides[1];
if(xCOffset >= 0 && xCOffset < inDims[1] && xTexelC${y+1}Ready == 0) {
xTexelC${y+1} = getX(batch, xR, xCOffset, d1);
if (xCOffset + 1 >= inDims[1]) {
xTexelC${y+1}.zw = vec2(0.);
}
xTexelC${y+1}Ready = 1;
}
xC${y} = vec4(
xTexelC${y}.xy, xTexelC${y+1}.xy);
`,y+1<p&&(c+=`
xC${y+1} = vec4(xTexelC${y}.zw, xTexelC${y+1}.zw);
`)));y<p&&(c+=`
wTexel = getW(r, ${y}, d1, q);
dotProd += xC${y} * vec4(wTexel.xz, wTexel.xz);
`,y+1<p&&(c+=`
wTexel = getW(r, ${y+1}, d1, q);
dotProd += xC${y+1} * vec4(wTexel.xz, wTexel.xz);
`))}c+=`
}
`,c+=`
}
`;let h="",m="";n&&(a?h=`vec4 activation(vec4 a) {
vec4 b = getPreluActivationWeightsAtOutCoords();
${n}
}`:r?h=`vec4 activation(vec4 a) {
vec4 b = getLeakyreluAlphaAtOutCoords();
${n}
}`:h=`vec4 activation(vec4 x) {
${n}
}`,m="result = activation(result);");let f=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),r&&this.variableNames.push("leakyreluAlpha"),this.userCode=`
${h}
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
ivec2 xRCCorner = coords.yz * strides - pads;
int d2 = coords.w;
int d1 = d2 / ${s};
int q = d2 - d1 * ${s};
int xRCorner = xRCCorner.x;
int xCCorner = xRCCorner.y;
//intialize dotProd with a small epsilon seems to reduce GPU accuracy loss.
vec4 dotProd = vec4(0.000000000000001);
${c}
vec4 result = dotProd - vec4(0.000000000000001);
${f}
${m}
setOutput(result);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}};function GQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l,dimRoundingMode:u}=a,p=l;p==null&&(p=[1,1]),v.assert(N.eitherStridesOrDilationsAreOne(i,p),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${i} and dilations '${p}'`);let d=N.computeConv2DInfo(r.shape,s.shape,i,p,o,u,!0),c;H().getBool("WEBGL_PACK_DEPTHWISECONV")&&d.strideWidth<=2&&d.outChannels/d.inChannels===1?c=new u_(d):c=new l_(d);let h=[[d.padInfo.top,d.padInfo.left],[d.strideHeight,d.strideWidth],[d.dilationHeight,d.dilationWidth],[d.inHeight,d.inWidth]];return n.runWebGLProgram(c,[r,s],"float32",h)}var HQ={kernelName:_i,backendName:"webgl",kernelFunc:GQ},jQ=class{constructor(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;let t=e.strideHeight,n=e.strideWidth,a=e.padInfo.top,r=e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int wR = coords.x;
int wC = coords.y;
int d1 = coords.z;
int dm = coords.w;
int d2 = d1 * ${s} + dm;
float dotProd = 0.0;
// TO DO: Vec4 over the batch size
for (int b = 0; b < ${e.batchSize}; b++) {
for (int yR = 0; yR < ${e.outHeight}; yR++) {
int xR = wR + yR * ${t} - ${a};
if (xR < 0 || xR >= ${e.inHeight}) {
continue;
}
for (int yC = 0; yC < ${e.outWidth}; yC++) {
int xC = wC + yC * ${n} - ${r};
if (xC < 0 || xC >= ${e.inWidth}) {
continue;
}
float dyValue = getDy(b, yR, yC, d2);
float xValue = getX(b, xR, xC, d1);
dotProd += (xValue * dyValue);
}
2022-10-18 13:10:36 +02:00
}
}
2022-10-18 13:23:49 +02:00
setOutput(dotProd);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}},qQ=class{constructor(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;let t=e.filterHeight,n=e.filterWidth,a=e.strideHeight,r=e.strideWidth,s=t-1-e.padInfo.top,i=n-1-e.padInfo.left,o=e.outChannels/e.inChannels;this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec2 pads = ivec2(${s}, ${i});
void main() {
ivec4 coords = getOutputCoords();
int batch = coords[0];
int d1 = coords[3];
ivec2 dyCorner = coords.yz - pads;
int dyRCorner = dyCorner.x;
int dyCCorner = dyCorner.y;
float dotProd = 0.0;
for (int wR = 0; wR < ${t}; wR++) {
float dyR = float(dyRCorner + wR) / ${a}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
continue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
int idyR = int(dyR);
int wRPerm = ${t} - 1 - wR;
for (int wC = 0; wC < ${n}; wC++) {
float dyC = float(dyCCorner + wC) / ${r}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
int idyC = int(dyC);
int wCPerm = ${n} - 1 - wC;
// TO DO: Vec4 over the channelMul
for (int dm = 0; dm < ${o}; dm++) {
int d2 = d1 * ${o} + dm;
float xValue = getDy(batch, idyR, idyC, d2);
float wValue = getW(wRPerm, wCPerm, d1, dm);
dotProd += xValue * wValue;
}
}
}
setOutput(dotProd);
2022-03-07 19:17:31 +01:00
}
2022-12-01 20:56:40 +01:00
`}};function KQ(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,dy:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,filterShape:p}=a,d=N.computeConv2DInfo(r.shape,p,i,o,l,u,!0),c=new jQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var XQ={kernelName:sm,backendName:"webgl",kernelFunc:KQ};function YQ(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,filter:s}=t,{strides:i,dilations:o,pad:l,dimRoundingMode:u,inputShape:p}=a,d=N.computeConv2DInfo(p,s.shape,i,o,l,u,!0),c=new qQ(d);return n.runWebGLProgram(c,[r,s],"float32")}var ZQ={kernelName:im,backendName:"webgl",kernelFunc:YQ},JQ=class{constructor(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec2 coords = getOutputCoords();
float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
setOutput(val);
2022-03-07 19:17:31 +01:00
}
2022-12-01 20:56:40 +01:00
`}};function QQ(e){let{inputs:t,backend:n}=e,{x:a}=t,r=[...a.shape,...a.shape],s=v.sizeFromShape(a.shape),i=he({inputs:{x:a},backend:n,attrs:{shape:[s]}}),o=new JQ(s),l=n.runWebGLProgram(o,[i],i.dtype),u=he({inputs:{x:l},backend:n,attrs:{shape:r}});return n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(l),u}var eee={kernelName:om,backendName:"webgl",kernelFunc:QQ},tee=class{constructor(e){this.variableNames=["x","W"],this.outputShape=e.outShape;let{inHeight:t,inWidth:n,padInfo:a,strideHeight:r,strideWidth:s,filterHeight:i,filterWidth:o,dilationHeight:l,dilationWidth:u}=e,{top:p,left:d}=a;this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec2 strides = ivec2(${r}, ${s});
const ivec2 pads = ivec2(${p}, ${d});
const float neg_infinity = -3.4e38;
void main() {
ivec4 coords = getOutputCoords();
int batch = coords.x;
int d1 = coords.w;
ivec2 outTopLeftCorner =
coords.yz * strides - pads;
int hBeg = outTopLeftCorner.x;
int wBeg = outTopLeftCorner.y;
float curVal = neg_infinity;
for (int h = 0; h < ${i}; h++) {
int hIn = hBeg + h * ${l};
if (hIn >= 0 && hIn < ${t}) {
for (int w = 0; w < ${o}; w++) {
int wIn = wBeg + w * ${u};
if (wIn >= 0 && wIn < ${n}) {
float xVal = getX(batch, hIn, wIn, d1);
float wVal = getW(h, w, d1);
float val = xVal + wVal;
if (val > curVal) {
curVal = val;
}
}
}
}
}
float result = curVal;
setOutput(result);
2022-03-07 19:17:31 +01:00
}
2022-12-01 20:56:40 +01:00
`}};function nee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s}=t,{strides:i,pad:o,dilations:l}=a,u=N.computeDilation2DInfo(r.shape,s.shape,i,o,"NHWC",l),p,d=new tee(u);p=n.runWebGLProgram(d,[r,s],"float32");let c=he({inputs:{x:p},backend:n,attrs:{shape:u.outShape}});return n.disposeIntermediateTensorInfo(p),c}var aee={kernelName:pc,backendName:"webgl",kernelFunc:nee};function ree(e){let{inputs:t,backend:n,attrs:a}=e,{equation:r}=a,s=t,{allDims:i,summedDims:o,idDims:l}=N.decodeEinsumEquation(r,s.length);N.checkEinsumDimSizes(i.length,l,s);let{path:u,steps:p}=N.getEinsumComputePath(o,l),d=p.length,c=null,h=i.length,m=[];for(let f=0;f<d;++f){for(let g of p[f]){let{permutationIndices:y,expandDims:b}=N.getEinsumPermutation(h,l[g]),x;N.isIdentityPermutation(y)?x=s[g]:(x=In({inputs:{x:s[g]},backend:n,attrs:{perm:y}}),m.push(x));let w=x.shape.slice();for(let I=0;I<b.length;++I)w.splice(b[I],0,1);v.arraysEqual(x.shape,w)||(x=he({inputs:{x},backend:n,attrs:{shape:w}}),m.push(x)),c===null?c=x:(c=n1({inputs:{a:x,b:c},backend:n}),m.push(c))}f<d-1&&(u[f]>=0&&(c=Of({inputs:{x:c},backend:n,attrs:{axis:u[f]-(i.length-h),keepDims:!1}}),m.push(c)),h--)}for(let f of m)f!==c&&n.disposeIntermediateTensorInfo(f);return c}var see={kernelName:lm,backendName:"webgl",kernelFunc:ree},iee="return (x >= 0.0) ? x : (exp(x) - 1.0);",oee=`
2022-10-18 13:23:49 +02:00
vec4 result;
result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);
result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);
result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);
result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);
return result;
2022-12-01 20:56:40 +01:00
`,lee=Ye({opSnippet:iee,packedOpSnippet:oee}),uee={kernelName:$i,backendName:"webgl",kernelFunc:lee},pee="return (b >= 1.0) ? a : a * (b + 1.0);",cee=`
2022-10-18 13:23:49 +02:00
vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
2022-12-01 20:56:40 +01:00
`,dee=e=>{let{inputs:t,backend:n}=e,{dy:a,y:r}=t,s=H().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new rd(cee,a.shape,r.shape):new kl(pee,a.shape,r.shape);return n.runWebGLProgram(s,[a,r],a.dtype)},hee={kernelName:um,backendName:"webgl",kernelFunc:dee},mee=`
2022-10-18 13:23:49 +02:00
return vec4(equal(a, b));
2022-12-01 20:56:40 +01:00
`,fee="return float(a == b);",gee=pn({opSnippet:fee,packedOpSnippet:mee,dtype:"bool",cpuKernelImpl:QZ}),yee={kernelName:Wl,backendName:"webgl",kernelFunc:gee},bee=`
2022-10-18 13:23:49 +02:00
// Error function is calculated approximately with elementary function.
// See "Handbook of Mathematical Functions with Formulas,
// Graphs, and Mathematical Tables", Abramowitz and Stegun.
float p = ${N.ERF_P};
float a1 = ${N.ERF_A1};
float a2 = ${N.ERF_A2};
float a3 = ${N.ERF_A3};
float a4 = ${N.ERF_A4};
float a5 = ${N.ERF_A5};
float sign = sign(x);
x = abs(x);
float t = 1.0 / (1.0 + p * x);
return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));
2022-12-01 20:56:40 +01:00
`,xee=Ye({opSnippet:bee}),vee={kernelName:zl,backendName:"webgl",kernelFunc:xee},wee=Gu+`
2022-10-18 13:23:49 +02:00
return exp(x);
2022-12-01 20:56:40 +01:00
`,kee=`
2022-10-18 13:23:49 +02:00
vec4 result = exp(x);
bvec4 isNaN = isnan(x);
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
return result;
2022-12-01 20:56:40 +01:00
`,p_=Ye({opSnippet:wee,packedOpSnippet:kee,cpuKernelImpl:e7,dtype:"float32"}),Iee={kernelName:Fi,backendName:"webgl",kernelFunc:p_};function gx(e){let{inputs:t,attrs:n,backend:a}=e,{dim:r}=n,{input:s}=t,i=s.shape.length,o=s.shape.slice(),l=r;return r<0&&(v.assert(-(i+1)<=r,()=>`Axis must be in the interval [${-(i+1)}, ${i}]`),l=i+r+1),o.splice(l,0,1),he({inputs:{x:s},backend:a,attrs:{shape:o}})}var See={kernelName:Bl,backendName:"webgl",kernelFunc:gx},cI="return exp(x) - 1.0;",Tee=Ye({opSnippet:cI,packedOpSnippet:cI,cpuKernelImpl:t7}),Nee={kernelName:Vl,backendName:"webgl",kernelFunc:Tee},dI=class{constructor(e,t,n){this.variableNames=["real","imag"];let a=t[1];this.outputShape=t;let r=n?`2.0 * ${Math.PI}`:`-2.0 * ${Math.PI}`,s=n?`${a}.0`:"1.0",i;if(e==="real")i="return real * expR - imag * expI;";else if(e==="imag")i="return real * expI + imag * expR;";else throw new Error(`FFT component must be either "real" or "imag", got ${e}.`);this.userCode=`
2022-10-18 13:23:49 +02:00
const float exponentMultiplier = ${r};
float unaryOpComplex(float real, float expR, float imag, float expI) {
${i}
}
float mulMatDFT(int batch, int index) {
float indexRatio = float(index) / float(${a});
float exponentMultiplierTimesIndexRatio =
exponentMultiplier * indexRatio;
float result = 0.0;
for (int i = 0; i < ${a}; i++) {
// x = (-2|2 * PI / N) * index * i;
float x = exponentMultiplierTimesIndexRatio * float(i);
float expR = cos(x);
float expI = sin(x);
float real = getReal(batch, i);
float imag = getImag(batch, i);
result +=
unaryOpComplex(real, expR, imag, expI) / ${s};
}
return result;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
void main() {
ivec2 coords = getOutputCoords();
setOutput(mulMatDFT(coords[0], coords[1]));
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}};function c_(e,t,n){let a=n.texData.get(e.dataId),r=v.sizeFromShape(e.shape),s=e.shape[e.shape.length-1],i=r/s,o=he({inputs:{x:e},backend:n,attrs:{shape:[i,s]}}),l=o.shape,u=new dI("real",l,t),p=new dI("imag",l,t),d=[{dataId:a.complexTensorInfos.real.dataId,dtype:a.complexTensorInfos.real.dtype,shape:l},{dataId:a.complexTensorInfos.imag.dataId,dtype:a.complexTensorInfos.imag.dtype,shape:l}],c=n.runWebGLProgram(u,d,"float32"),h=n.runWebGLProgram(p,d,"float32"),m=Cs({inputs:{real:c,imag:h},backend:n});n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h);let f=he({inputs:{x:m},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(m),f}function Cee(e){let{inputs:t,backend:n}=e,{input:a}=t;return c_(a,!1,n)}var Eee={kernelName:pm,backendName:"webgl",kernelFunc:Cee},_ee=class{constructor(e,t){this.outputShape=[],this.customUniforms=[{name:"value",type:"float"}],this.variableNames=["x"],this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
// Input can be obtained from uniform value.
setOutput(value);
}
2022-12-01 20:56:40 +01:00
`}};function id(e){let{backend:t,attrs:n}=e,{shape:a,value:r}=n,{dtype:s}=n;if(s=s||v.inferDtype(r),s==="string"){let i=v.getArrayFromDType(s,v.sizeFromShape(a));return i.fill(r),t.makeTensorInfo(a,s,i)}else{let i=new _ee(a,r),o=[[r]];return t.runWebGLProgram(i,[],s,o)}}var Aee={kernelName:cc,backendName:"webgl",kernelFunc:id},$ee=class{constructor(e){this.variableNames=["Image"],this.outputShape=[];let t=e[2];this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
int coordX = ${t} - x - 1;
float outputValue;
if(coordX >= 0 && coordX < ${t}) {
outputValue = getImage(coords[0], coords[1], coordX, coords[3]);
} else {
outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);
}
setOutput(outputValue);
}
2022-12-01 20:56:40 +01:00
`}},Fee={kernelName:Ul,backendName:"webgl",kernelFunc:({inputs:e,backend:t})=>{let{image:n}=e,a=t,r=new $ee(n.shape);return a.runWebGLProgram(r,[n],n.dtype)}},hI="return floor(x);",Dee=Ye({opSnippet:hI,packedOpSnippet:hI,cpuKernelImpl:n7}),Ree={kernelName:Di,backendName:"webgl",kernelFunc:Dee},Mee=`
2022-10-18 13:23:49 +02:00
float s = sign(a) * sign(b);
int ia = round(a);
int ib = round(b);
if (ib != 0) {
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
return float(idiv(ia, ib, s));
} else {
return NAN;
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`,Pee=`
2022-10-18 13:23:49 +02:00
ivec4 ia = round(a);
ivec4 ib = round(b);
bvec4 cond = notEqual(ib, ivec4(0));
ivec4 result = ivec4(0);
vec4 s = sign(a) * sign(b);
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
if (cond[0]) {
result[0] = idiv(ia[0], ib[0], s[0]);
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
if (cond[1]) {
result[1] = idiv(ia[1], ib[1], s[1]);
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
if (cond[2]) {
result[2] = idiv(ia[2], ib[2], s[2]);
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
if (cond[3]) {
result[3] = idiv(ia[3], ib[3], s[3]);
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
return vec4(result);
2022-12-01 20:56:40 +01:00
`,Oee=pn({opSnippet:Mee,packedOpSnippet:Pee,dtype:"int32"}),Lee={kernelName:Ri,backendName:"webgl",kernelFunc:Oee},zee=class{constructor(e){this.variableNames=["A"];let t=Cn(),[n,a]=e;this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(${a}.0, ${n}.0);
2020-08-29 20:56:29 +02:00
2022-10-18 13:23:49 +02:00
vec4 values = ${t.texture2D}(A, uv);
float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
setOutput(floor(value * 255.0 + 0.5));
}
2022-12-01 20:56:40 +01:00
`}},Wee=class{constructor(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;let t=Cn(),[n,a]=e;this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec3 coords = getOutputCoords();
int texR = coords[0];
int texC = coords[1];
int depth = coords[2];
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
vec4 result = vec4(0.);
for(int row=0; row<=1; row++) {
for(int col=0; col<=1; col++) {
texC = coords[1] + row;
depth = coords[2] + col;
vec2 uv = (vec2(texC, texR) + halfCR) /
vec2(${a}.0, ${n}.0);
vec4 values = ${t.texture2D}(A, uv);
float value;
if (depth == 0) {
value = values.r;
} else if (depth == 1) {
value = values.g;
} else if (depth == 2) {
value = values.b;
} else if (depth == 3) {
value = values.a;
}
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
result[row * 2 + col] = floor(value * 255.0 + 0.5);
}
}
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
${t.output} = result;
}
2022-12-01 20:56:40 +01:00
`}},Bee={kernelName:bh,backendName:"webgl",kernelFunc:Vee},Zo,kb=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");function Vee(e){let{inputs:t,backend:n,attrs:a}=e,{pixels:r}=t,{numChannels:s}=a,i=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,[l,u]=i?[r.videoWidth,r.videoHeight]:[r.width,r.height],p=[u,l],d=[u,l,s];if(o||i){let f=H().getBool("CANVAS2D_WILL_READ_FREQUENTLY_FOR_GPU");(Zo==null||f!==kb)&&(kb=f,Zo=document.createElement("canvas").getContext("2d",{willReadFrequently:kb})),Zo.canvas.width=l,Zo.canvas.height=u,Zo.drawImage(r,0,0,l,u),r=Zo.canvas}let c=n.makeTensorInfo(p,"int32");n.texData.get(c.dataId).usage=pa.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(c.dataId),r);let h=H().getBool("WEBGL_PACK")?new Wee(d):new zee(d),m=n.runWebGLProgram(h,[c],"int32");return n.disposeData(c.dataId),m}function Uee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dataFormat:p,dilations:d,dimRoundingMode:c,activation:h,leakyreluAlpha:m}=a,f=N.convertConv2DDataFormat(p),g=N.computeConv2DInfo(r.shape,s.shape,l,d,u,c,!1,f),y,b=[],x=i!=null,w=o!=null,I=h==="leakyrelu",T=()=>{let _=[r,s],$=(R,F)=>{if(F==="NCHW"&&R.shape.length===1&&R.shape[0]!==1){let S=he({inputs:{x:R},backend:n,attrs:{shape:[R.shape[0],1,1]}});return b.push(S),S}return R};if(x&&_.push($(i,p)),w&&_.push($(o,p)),I){let R=n.makeTensorInfo([],"float32",v.createScalarValue(m,"float32"));_.push(R),b.push(R)}return _};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=s_({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else if(g.strideWidth<=2&&f==="channelsLast"&&H().getBool("WEBGL_EXP_CONV")){let _=h?tc(h,!0):null,$=new r_(g,x,_,w,I),R=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],F=T();y=n.runWebGLProgram($,F,"float32",R)}else if(H().getBool("WEBGL_CONV_IM2COL"))y=i_({x:r,filter:s,convInfo:g,backend:n,bias:i,activation:h,preluActivationWeights:o,leakyreluAlpha:m});else{let _=h?tc(h,!1):null,$=new a_(g,x,_,w,I),R=T();y=n.runWebGLProgram($,R,"float32")}let C=he({inputs:{x:y},backend:n,attrs:{shape:g.outShape}});return b.push(y),b.forEach(_=>n.disposeIntermediateTensorInfo(_)),C}var Gee={kernelName:ni,backendName:"webgl",kernelFunc:Uee};function Hee(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,filter:s,bias:i,preluActivationWeights:o}=t,{strides:l,pad:u,dilations:p,dimRoundingMode:d,activation:c,leakyreluAlpha:h}=a,m=[],f=p;f==null&&(f=[1,1]),v.assert(N.eitherStridesOrDilationsAreOne(l,f),()=>`Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides ${l} and dilations '${f}'`);let g=N.computeConv2DInfo(r.shape,s.shape,l,f,u,d,!0),y=H().getBool("WEBGL_PACK_DEPTHWISECONV")&&g.strideWidth<=2&&g.outChannels/g.inChannels===1,b=c?tc(c,y):null,x=[r,s],w=i!=null,I=o!=null,T=c==="leakyrelu";if(w&&x.push(i),I&&x.push(o),T){let R=n.makeTensorInfo([],"float32",v.createScalarValue(h,"float32"));x.push(R),m.push(R)}let C;y?C=new u_(g,w,b,I,T):C=new l_(g,w,b,I,T);let _=[[g.padInfo.top,g.padInfo.left],[g.strideHeight,g.strideWidth],[g.dilationHeight,g.dilationWidth],[g.inHeight,g.inWidth]],$=n.runWebGLProgram(C,x,"float32",_);return m.forEach(R=>n.disposeIntermediateTensorInfo(R)),$}var jee={kernelName:ai,backendName:"webgl",kernelFunc:Hee},qee=class{constructor(e,t,n,a){this.sliceDim=e,this.strides=t,this.paramsShape=a,this.variableNames=["x","indices"],this.outputShape=n;let r=gt(n.length),s=`
2022-10-18 13:23:49 +02:00
int index;`;for(let i=0;i<this.sliceDim;i++)s+=`
index = round(getIndices(coords[0], ${i}));
out_of_bounds = out_of_bounds || index < 0;
out_of_bounds = out_of_bounds || index >= ${this.paramsShape[i]};
flattenIndex += index * ${this.strides[i]};`;this.userCode=`
void main() {
${r} coords = getOutputCoords();
int flattenIndex = 0;
bool out_of_bounds = false;
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
${s}
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
setOutput(out_of_bounds ? 0.0 : getX(flattenIndex, coords[1]));
}
2022-12-01 20:56:40 +01:00
`}};function Kee(e){let{inputs:t,backend:n}=e,{params:a,indices:r}=t,s=r.shape,i=s[s.length-1],o=v.sizeFromShape(a.shape),[l,u,p,d]=N.prepareAndValidate(a,r),c=he({inputs:{x:r},backend:n,attrs:{shape:[u,i]}}),h=he({inputs:{x:a},backend:n,attrs:{shape:[v.sizeFromShape(a.shape)/p,p]}});if(n.shouldExecuteOnCPU([a,r])||a.dtype==="string"){let y=n.readSync(r.dataId),b=n.bufferSync(a),x=a7(y,b,a.dtype,u,i,p,d,a.shape,o);return n.makeTensorInfo(l,a.dtype,x.values)}let m=new qee(i,d,[u,p],a.shape),f=n.runWebGLProgram(m,[h,c],h.dtype),g=he({inputs:{x:f},backend:n,attrs:{shape:l}});return n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(f),g}var Xee={kernelName:Hl,backendName:"webgl",kernelFunc:Kee},Yee=class{constructor(e,t){this.variableNames=["A","indices"],this.outputShape=t,this.rank=t.length;let n=gt(this.rank),a=Zee(e,2);this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${n} resRC = getOutputCoords();
int index = int(getIndices(resRC.x, resRC.z));
float inBounds = (index >= 0) && (index < ${e[2]}) ? 1.0 : 0.0;
setOutput(inBounds * getA(${a}));
}
2022-12-01 20:56:40 +01:00
`}};function Zee(e,t){let n=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[];for(let r=0;r<e.length;r++)r===2?a.push("index"):a.push(`${n[r]}`);return a.join()}function d_(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,indices:s}=t,{axis:i,batchDims:o}=a,l=v.parseAxisParam(i,r.shape)[0];if(H().get("DEBUG")){let b=n.readSync(s.dataId),x=r.shape[l];for(let w=0;w<b.length;++w){let I=b[w];v.assert(I<=x-1&&I>=0,()=>`GatherV2: the index value ${I} is not in [0, ${x-1}]`)}}let u=N.segment_util.collectGatherOpShapeInfo(r,s,l,o),p=v.sizeFromShape(s.shape),d=[],c=he({inputs:{x:r},backend:n,attrs:{shape:[u.batchSize,u.outerSize,u.dimSize,u.sliceSize]}}),h=he({inputs:{x:s},backend:n,attrs:{shape:[u.batchSize,p/u.batchSize]}});d.push(c),d.push(h);let m=[u.batchSize,u.outerSize,p/u.batchSize,u.sliceSize];if(n.shouldExecuteOnCPU([r,s])||r.dtype==="string"){let b=n.bufferSync(h),x=n.bufferSync(c),w=r7(x,b,m);return d.forEach(I=>n.disposeIntermediateTensorInfo(I)),n.makeTensorInfo(u.outputShape,w.dtype,w.values)}let f=new Yee(c.shape,m),g=n.runWebGLProgram(f,[c,h],c.dtype);d.push(g);let y=he({inputs:{x:g},backend:n,attrs:{shape:u.outputShape}});return d.forEach(b=>n.disposeIntermediateTensorInfo(b)),y}var Jee={kernelName:Gl,backendName:"webgl",kernelFunc:d_},Qee="return float(a > b);",ete=`
2022-10-18 13:23:49 +02:00
return vec4(greaterThan(a, b));
2022-12-01 20:56:40 +01:00
`,tte=pn({opSnippet:Qee,packedOpSnippet:ete,cpuKernelImpl:s7,dtype:"bool"}),nte={kernelName:jl,backendName:"webgl",kernelFunc:tte},ate="return float(a >= b);",rte=`
2022-10-18 13:23:49 +02:00
return vec4(greaterThanEqual(a, b));
2022-12-01 20:56:40 +01:00
`,ste=pn({opSnippet:ate,packedOpSnippet:rte,dtype:"bool",cpuKernelImpl:i7}),ite={kernelName:Pi,backendName:"webgl",kernelFunc:ste};function ote(e){let{inputs:t,backend:n}=e,{input:a}=t;return c_(a,!0,n)}var lte={kernelName:cm,backendName:"webgl",kernelFunc:ote},ute="return float(!isnan(x) && !isinf(x));",pte=Ye({opSnippet:ute,dtype:"bool"}),cte={kernelName:ql,backendName:"webgl",kernelFunc:pte},dte="return float(isinf(x));",hte=Ye({opSnippet:dte,dtype:"bool"}),mte={kernelName:Kl,backendName:"webgl",kernelFunc:hte},fte="return float(isnan(x));",gte=Ye({opSnippet:fte,dtype:"bool"}),yte={kernelName:Li,backendName:"webgl",kernelFunc:gte},bte="return float(a < b);",xte=`
2022-10-18 13:23:49 +02:00
return vec4(lessThan(a, b));
2022-12-01 20:56:40 +01:00
`,vte=pn({opSnippet:bte,packedOpSnippet:xte,cpuKernelImpl:o7,dtype:"bool"}),wte={kernelName:Xl,backendName:"webgl",kernelFunc:vte},kte="return float(a <= b);",Ite=`
2022-10-18 13:23:49 +02:00
return vec4(lessThanEqual(a, b));
2022-12-01 20:56:40 +01:00
`,Ste=pn({opSnippet:kte,packedOpSnippet:Ite,cpuKernelImpl:l7,dtype:"bool"}),Tte={kernelName:Yl,backendName:"webgl",kernelFunc:Ste};function Nte(e){let{backend:t,attrs:n}=e,{start:a,stop:r,num:s}=n,i=u7(a,r,s);return t.makeTensorInfo([i.length],"float32",i)}var Cte={kernelName:hm,backendName:"webgl",kernelFunc:Nte},Ete=Gu+`
2022-10-18 13:23:49 +02:00
return x < 0.0 ? 0./0. : log(x);
2022-12-01 20:56:40 +01:00
`,_te=`
2022-10-18 13:23:49 +02:00
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;
2022-12-01 20:56:40 +01:00
`,Ate=Ye({opSnippet:Ete,packedOpSnippet:_te,cpuKernelImpl:p7}),$te={kernelName:Wi,backendName:"webgl",kernelFunc:Ate},Fte=Gu+`
2022-10-18 13:23:49 +02:00
return log(1.0 + x);
2022-12-01 20:56:40 +01:00
`,Dte=Ye({opSnippet:Fte}),Rte={kernelName:Zl,backendName:"webgl",kernelFunc:Dte},Mte="return float(a >= 1.0 && b >= 1.0);",Pte=`
2022-10-18 13:23:49 +02:00
return vec4(
vec4(greaterThanEqual(a, vec4(1.0))) *
vec4(greaterThanEqual(b, vec4(1.0))));
2022-12-01 20:56:40 +01:00
`,Ote=pn({opSnippet:Mte,packedOpSnippet:Pte,dtype:"bool"}),Lte={kernelName:Jl,backendName:"webgl",kernelFunc:Ote},zte="return float(!(x >= 1.0));",Wte=Ye({opSnippet:zte}),Bte={kernelName:Ql,backendName:"webgl",kernelFunc:Wte},Vte="return float(a >= 1.0 || b >= 1.0);",Ute=`
2022-10-18 13:23:49 +02:00
return min(
vec4(greaterThanEqual(a, vec4(1.0))) +
vec4(greaterThanEqual(b, vec4(1.0))),
vec4(1.0));
2022-12-01 20:56:40 +01:00
`,Gte=pn({opSnippet:Vte,packedOpSnippet:Ute,dtype:"bool"}),Hte={kernelName:eu,backendName:"webgl",kernelFunc:Gte},jte=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[];let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
int d = coords[3];
float x = getX(b, r, c, d);
float sum = 0.0;
for (int j = -${s}; j <= ${s}; j++) {
int idx = d + j;
if (idx >= 0 && idx <= ${i}) {
float z = getX(b, r, c, idx);
sum += z * z;
}
}
float val = x * ${o};
setOutput(val);
}
2022-12-01 20:56:40 +01:00
`}},qte=class{constructor(e,t,n,a,r){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;let s=t,i=e[3]-1;this.outputShape=e;let o,l=`float(${n}) + float(${a}) * sum`;r===.5?o=`inversesqrt(${l})`:r===1?o=`1.0/(${l})`:o=`exp(log(${l}) * float(-${r}));`,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int b = coords.x;
int r = coords.y;
int c = coords.z;
int d = coords.w;
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
bool hasNextCol = d < ${this.outputShape[3]};
bool hasNextRow = c < ${this.outputShape[2]};
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
vec4 sum = vec4(0.);
vec4 xFragAtOutputCoords = getX(b, r, c, d);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
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
);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
int firstChannel = d - ${s};
vec2 cache = vec2(0.);
if(firstChannel >= 0){
vec4 firstChannelFrag = getX(b, r, c, firstChannel);
cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));
if(hasNextRow){
cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));
}
}
2021-03-31 13:01:22 +02:00
2022-10-18 13:23:49 +02:00
ivec2 depth = ivec2(d, d + 1);
for (int j = - ${s}; j <= ${s}; j++) {
ivec2 idx = depth + j;
bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));
bvec2 belowUpperBound = lessThanEqual(idx, ivec2(${i}));
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
bool depthInRange = aboveLowerBound.x && belowUpperBound.x;
bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
if(depthInRange || depthPlusOneInRange){
vec4 z = vec4(0.);
vec4 xFragAtCurrentDepth;
z.xz = cache.xy;
if(depthPlusOneInRange && hasNextCol){
xFragAtCurrentDepth = idx.y != d ?
getX(b, r, c, idx.y) : xFragAtOutputCoords;
z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));
if(hasNextRow){
z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));
}
}
cache.xy = z.yw;
sum += z * z;
}
}
vec4 result = xAtOutputCoords * ${o};
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}},Kte=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{depthRadius:s,bias:i,alpha:o,beta:l}=a,u=H().getBool("WEBGL_PACK_NORMALIZATION")?new qte(r.shape,s,i,o,l):new jte(r.shape,s,i,o,l);return n.runWebGLProgram(u,[r],r.dtype)},Xte={kernelName:dc,backendName:"webgl",kernelFunc:Kte},Yte=class{constructor(e,t,n,a,r){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=a,this.beta=r,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int r = coords[1];
int c = coords[2];
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
float result = 0.0;
for (int d = 0; d < ${this.depth}; ++d) {
int depthBegin = int(max(0.0, float(d - ${t})));
int depthEnd = int(min(float(${this.depth}),
float(d + ${t} + 1)));
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
const int MIN_DEPTH_BEGIN = 0;
const int MAX_DEPTH_END = ${this.depth};
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
float norm = 0.0;
for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd) {
norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);
}
else {
break;
}
}
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
norm = float(${a}) * norm + float(${n});
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){
if (k < depthBegin){
continue;
}
else if (k >= depthBegin && k < depthEnd){
float dyi = -2.0 * float(${a})
* float(${r})
* getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
/ norm;
if (k == d) {
dyi += pow(norm, -1.0 * ${r});
}
if (k == coords[3]) {
dyi *= getDy(b, r, c, d);
result += dyi;
}
}
else {
break;
}
}
}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}},Zte=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r,y:s,dy:i}=t,{depthRadius:o,bias:l,alpha:u,beta:p}=a,d=new Yte(r.shape,o,l,u,p);return n.runWebGLProgram(d,[r,s,i],r.dtype)},Jte={kernelName:mm,backendName:"webgl",kernelFunc:Zte};function Qte(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=he({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=Co(i,e.dtype,"max",a),l=he({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}function h_(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reductionIndices:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=n.shouldExecuteOnCPU([r]),h=r;if(d){if(c){let b=n.texData.get(h.dataId).values,x=new Array(o);for(let T=0;T<x.length;T++)x[T]=r.shape[p[T]];let w=e1(b,r.shape,r.dtype,p,x);h=n.makeTensorInfo(x,r.dtype);let I=n.texData.get(h.dataId);I.values=w}else h=Pf(r,p,n);u=N.getInnerMostAxes(u.length,o)}N.assertAxesAreInnerMostDims("max",u,o);let[m,f]=N.computeOutAndReduceShapes(h.shape,u),g=m;i&&(g=N.expandShapeToKeepDim(m,l));let y;if(c){let b=n.texData.get(h.dataId).values,x=c7(b,v.sizeFromShape(f),g,r.dtype);y=n.makeTensorInfo(g,r.dtype);let w=n.texData.get(y.dataId);w.values=x}else y=Qte(h,f,g,n);return d&&n.disposeIntermediateTensorInfo(h),y}var ene={kernelName:Bi,backendName:"webgl",kernelFunc:h_},tne=t1+`
2022-10-18 13:23:49 +02:00
return max(a, b);
2022-12-01 20:56:40 +01:00
`,nne=`
2022-10-18 13:23:49 +02:00
vec4 result = vec4(max(a, b));
bvec4 isNaNA = isnan(a);
bvec4 isNaNB = isnan(b);
bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);
2022-12-01 20:56:40 +01:00
`+ad+`
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,ane=pn({opSnippet:tne,packedOpSnippet:nne,cpuKernelImpl:d7}),rne={kernelName:Vi,backendName:"webgl",kernelFunc:ane};function sne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t;zu(r,"maxPool");let{filterSize:s,strides:i,pad:o,dimRoundingMode:l}=a,u=1;v.assert(N.eitherStridesOrDilationsAreOne(i,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${i} and dilations '${u}'`);let p=N.computePool2DInfo(r.shape,s,i,u,o,l);if(p.filterWidth===1&&p.filterHeight===1&&v.arraysEqual(p.inShape,p.outShape))return ta({inputs:{x:r},backend:n});let d=new nc(p,"max",!1);return n.runWebGLProgram(d,[r],r.dtype)}var ine={kernelName:Ui,backendName:"webgl",kernelFunc:sne};function one(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{filterSize:s,strides:i,pad:o,dataFormat:l,dimRoundingMode:u}=a,p=[1,1,1],d=N.computePool3DInfo(r.shape,s,i,p,o,u,l),c=new a1(d,"max",!1);return n.runWebGLProgram(c,[r],r.dtype)}var lne={kernelName:hc,backendName:"webgl",kernelFunc:one},une=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideHeight,n=e.strideWidth,a=e.dilationHeight,r=e.effectiveFilterHeight,s=e.effectiveFilterWidth,i=r-1-e.padInfo.top,o=s-1-e.padInfo.left,l=r*s-1;this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec2 pads = ivec2(${i}, ${o});
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
ivec2 dyRCCorner = coords.yz - pads;
int dyRCorner = dyRCCorner.x;
int dyCCorner = dyRCCorner.y;
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
// Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).
// ? = to be determined. : = across all values in that axis.
float dotProd = 0.0;
for (int wR = 0; wR < ${r};
wR += ${a}) {
float dyR = float(dyRCorner + wR) / ${t}.0;
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 || fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
for (int wC = 0; wC < ${s}; wC++) {
float dyC = float(dyCCorner + wC) / ${n}.0;
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
float dyValue = getDy(b, idyR, idyC, d);
int maxPosValue = ${l} - int(getMaxPos(b, idyR, idyC, d));
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
// Get the current value, check it against the value from the
// position matrix.
int curPosValue = wR * ${s} + wC;
float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
dotProd += dyValue * mask;
}
}
setOutput(dotProd);
}
2022-12-01 20:56:40 +01:00
`}},pne=class{constructor(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;let t=e.strideDepth,n=e.strideHeight,a=e.strideWidth,r=e.dilationDepth,s=e.dilationHeight,i=e.dilationWidth,o=e.effectiveFilterDepth,l=e.effectiveFilterHeight,u=e.effectiveFilterWidth,p=o-1-e.padInfo.front,d=l-1-e.padInfo.top,c=u-1-e.padInfo.left,h=o*l*u-1;this.userCode=`
2022-10-18 13:23:49 +02:00
const ivec3 pads = ivec3(${p}, ${d}, ${c});
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
void main() {
ivec5 coords = getOutputCoords();
int batch = coords.x;
int ch = coords.u;
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
int dyDCorner = dyCorner.x;
int dyRCorner = dyCorner.y;
int dyCCorner = dyCorner.z;
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
// 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;
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
for (int wD = 0; wD < ${o};
wD += ${r}) {
float dyD = float(dyDCorner + wD) / ${t}.0;
2021-03-26 15:26:02 +01:00
2022-10-18 13:23:49 +02:00
if (dyD < 0.0 || dyD >= ${e.outDepth}.0 || fract(dyD) > 0.0) {
continue;
}
int idyD = int(dyD);
2021-03-26 15:26:02 +01:00
2022-10-18 13:23:49 +02:00
for (int wR = 0; wR < ${l};
wR += ${s}) {
float dyR = float(dyRCorner + wR) / ${n}.0;
2021-03-26 15:26:02 +01:00
2022-10-18 13:23:49 +02:00
if (dyR < 0.0 || dyR >= ${e.outHeight}.0 ||
fract(dyR) > 0.0) {
continue;
}
int idyR = int(dyR);
2021-03-26 15:26:02 +01:00
2022-10-18 13:23:49 +02:00
for (int wC = 0; wC < ${u};
wC += ${i}) {
float dyC = float(dyCCorner + wC) / ${a}.0;
2021-03-26 15:26:02 +01:00
2022-10-18 13:23:49 +02:00
if (dyC < 0.0 || dyC >= ${e.outWidth}.0 ||
fract(dyC) > 0.0) {
continue;
}
int idyC = int(dyC);
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
float dyValue = getDy(batch, idyD, idyR, idyC, ch);
int maxPosValue = ${h} -
int(getMaxPos(batch, idyD, idyR, idyC, ch));
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
// Get the current value, check it against the value from the
// position matrix.
int curPosValue =
wD * ${l} * ${u} +
wR * ${u} + wC;
float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
2022-10-18 13:23:49 +02:00
dotProd += dyValue * mask;
}
}
}
setOutput(dotProd);
}
2022-12-01 20:56:40 +01:00
`}};function cne(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s}=t,i=s,{filterSize:o,strides:l,pad:u,dimRoundingMode:p}=a,d=[1,1,1],c=N.computePool3DInfo(i.shape,o,l,d,u,p),h=new a1(c,"max",!0),m=n.runWebGLProgram(h,[i],i.dtype),f=new pne(c),g=n.runWebGLProgram(f,[r,m],i.dtype);return n.disposeIntermediateTensorInfo(m),g}var dne={kernelName:gm,backendName:"webgl",kernelFunc:cne};function hne(e){let{inputs:t,backend:n,attrs:a}=e,{dy:r,input:s,output:i}=t,o=s;zu([s,i],"maxPoolGrad");let{filterSize:l,strides:u,pad:p,dimRoundingMode:d}=a,c=N.computePool2DInfo(o.shape,l,u,1,p,d),h=!0,m=new nc(c,"max",h),f=n.runWebGLProgram(m,[o],o.dtype),g=new une(c),y=n.runWebGLProgram(g,[r,f],o.dtype);return n.disposeIntermediateTensorInfo(f),y}var mne={kernelName:fm,backendName:"webgl",kernelFunc:hne};function fne(e,t,n,a){let r=new nc(n,"max",!1),s=a.runWebGLProgram(r,[e],"float32");r=new nc(n,"max",!0,!0,t);let i=a.runWebGLProgram(r,[e],"float32");return[s,i]}var gne={kernelName:ym,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{filterSize:r,strides:s,pad:i,includeBatchInIndex:o}=t,l=n;v.assert(a.shape.length===4,()=>`Error in maxPool: input must be rank 4 but got rank ${a.shape.length}.`);let u=[1,1];v.assert(N.eitherStridesOrDilationsAreOne(s,u),()=>`Error in maxPool: Either strides or dilations must be 1. Got strides ${s} and dilations '${u}'`);let p=N.computePool2DInfo(a.shape,r,s,u,i),[d,c]=fne(a,o,p,l);return[d,c]}};function yne(e,t,n,a){let r=v.sizeFromShape(t),s=v.sizeFromShape(e.shape)/r,i=he({inputs:{x:e},attrs:{shape:[s,r]},backend:a}),o=Co(i,"float32","mean",a),l=he({inputs:{x:o},attrs:{shape:n},backend:a});return a.disposeIntermediateTensorInfo(i),a.disposeIntermediateTensorInfo(o),l}var bne={kernelName:Gi,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{x:a}=e,{keepDims:r,axis:s}=t,i=n,o=a.shape.length,l=v.parseAxisParam(s,a.shape),u=l,p=N.getAxesPermutation(u,o),d=p!=null,c=i.shouldExecuteOnCPU([a]),h=[],m=a;if(d){if(c){let x=i.texData.get(m.dataId).values,w=new Array(o);for(let C=0;C<w.length;C++)w[C]=a.shape[p[C]];let I=e1(x,a.shape,a.dtype,p,w);m=i.makeTensorInfo(w,a.dtype);let T=i.texData.get(m.dataId);T.values=I}else m=Pf(a,p,i);h.push(m),u=N.getInnerMostAxes(u.length,o)}N.assertAxesAreInnerMostDims("sum",u,o);let[f,g]=N.computeOutAndReduceShapes(m.shape,u),y=f;r&&(y=N.expandShapeToKeepDim(f,l));let b=yne(m,g,y,i);for(let x of h)i.disposeIntermediateTensorInfo(x);return b}};function xne(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=v.parseAxisParam(s,r.shape),u=l,p=N.getAxesPermutation(u,o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),u=N.getInnerMostAxes(u.length,r.shape.length)),N.assertAxesAreInnerMostDims("min",u,o);let[c,h]=N.computeOutAndReduceShapes(d.shape,u),m=v.sizeFromShape(h),f=he({inputs:{x:d},backend:n,attrs:{shape:[-1,m]}}),g=Co(f,f.dtype,"min",n),y;if(i){let b=N.expandShapeToKeepDim(c,l);y=he({inputs:{x:g},backend:n,attrs:{shape:b}})}else y=he({inputs:{x:g},backend:n,attrs:{shape:c}});return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(g),p!=null&&n.disposeIntermediateTensorInfo(d),y}var vne={kernelName:Hi,backendName:"webgl",kernelFunc:xne},wne=t1+`
2022-10-18 13:23:49 +02:00
return min(a, b);
2022-12-01 20:56:40 +01:00
`,kne=`
2022-10-18 13:23:49 +02:00
vec4 result = vec4(min(a, b));
bvec4 isNaNA = isnan(a);
bvec4 isNaNB = isnan(b);
bvec4 isNaN = bvec4(isNaNA.x || isNaNB.x, isNaNA.y || isNaNB.y, isNaNA.z || isNaNB.z, isNaNA.w || isNaNB.w);
2022-12-01 20:56:40 +01:00
`+ad+`
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,Ine=pn({opSnippet:wne,packedOpSnippet:kne,cpuKernelImpl:h7}),Sne={kernelName:ji,backendName:"webgl",kernelFunc:Ine},Tne=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=t.map((u,p)=>u[0]+e[p]+u[1]);let a=e.length,r=gt(a),s=t.map(u=>u[0]).join(","),i=t.map((u,p)=>u[0]+e[p]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),l=n==="reflect"?0:1;if(a===1){this.userCode=`
2022-10-18 13:23:49 +02:00
int start = ${s};
int end = ${i};
2022-10-18 13:23:49 +02:00
void main() {
int outC = getOutputCoords();
if (outC < start) {
outC = start * 2 - outC - ${l};
} else if(outC >= end) {
outC = (end - 1) * 2 - outC + ${l};
}
setOutput(getX(outC - start));
}
`;return}this.userCode=`
${r} start = ${r}(${s});
${r} end = ${r}(${i});
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
void main() {
${r} outC = getOutputCoords();
for (int i = 0; i < ${a}; i++) {
if (outC[i] < start[i]) {
outC[i] = start[i] * 2 - outC[i] - ${l};
} else if(outC[i] >= end[i]) {
outC[i] = (end[i] - 1) * 2 - outC[i] + ${l};
}
}
${r} coords = outC - start;
setOutput(getX(${o}));
}
2022-12-01 20:56:40 +01:00
`}},Nne=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((h,m)=>h[0]+e[m]+h[1]);let a=e.length,r=gt(a),s=t.map(h=>h[0]).join(","),i=t.map((h,m)=>h[0]+e[m]).join(","),o=kn("rc",a),l=kn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=n==="reflect"?0:1,c="";if(a===1){let h=`
2022-10-18 13:23:49 +02:00
${r} source = rc;
if (source < start) {
source = start * 2 - source - ${d};
} else if (source >= end) {
source = (end - 1) * 2 - source + ${d};
}
source -= start;
`;c=`
${r} rc = outputLoc;
${h}
result[0] = getChannel(getX(${l.join()}), ${p});
${o[a-1]} += 1;
if(${u}) {
${h}
result[1] = getChannel(getX(${l.join()}), ${p});
}
`}else{let h=`
${r} source = rc;
${r} lt = ${r}(lessThan(source, start));
${r} gte = ${r}(greaterThanEqual(source, end));
${r} orig = 1 - (lt + gte);
source = orig * source +
lt * (start * 2 - source - ${d}) +
gte * ((end - 1) * 2 - source + ${d});
source -= start;
`;c=`
${r} rc = outputLoc;
${h}
result[0] = getChannel(getX(${l.join()}), ${p});
${o[a-1]} += 1;
if(${u}) {
${h}
result[1] = getChannel(getX(${l.join()}), ${p});
}
rc = outputLoc;
${o[a-2]} += 1;
if(${o[a-2]} < ${this.outputShape[a-2]}) {
${h}
result[2] = getChannel(getX(${l.join()}), ${p});
${o[a-1]} += 1;
if(${u}) {
${h}
result[3] = getChannel(getX(${l.join()}), ${p});
}
}
`}this.userCode=`
const ${r} start = ${r}(${s});
const ${r} end = ${r}(${i});
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
void main() {
${r} outputLoc = getOutputCoords();
vec4 result = vec4(0.);
${c}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}},Cne=({inputs:e,backend:t,attrs:n})=>{let{x:a}=e,{paddings:r,mode:s}=n,i=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Nne(a.shape,r,s):new Tne(a.shape,r,s);return t.runWebGLProgram(i,[a],a.dtype)},Ene={kernelName:qi,backendName:"webgl",kernelFunc:Cne},_ne=`if (b == 0.0) return NAN;
return mod(a, b);`,Ane=`
2022-10-18 13:23:49 +02:00
vec4 result = mod(a, b);
bvec4 isNaN = equal(b, vec4(0.0));
2022-12-01 20:56:40 +01:00
`+ad+`
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,$ne=pn({opSnippet:_ne,packedOpSnippet:Ane}),Fne={kernelName:tu,backendName:"webgl",kernelFunc:$ne},Dne=class{constructor(e,t,n){this.variableNames=["probs"],this.customUniforms=[{name:"seed",type:"float"}],this.outputShape=[e,n],this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
float r = random(seed);
float cdf = 0.0;
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
for (int i = 0; i < ${t-1}; i++) {
cdf += getProbs(batch, i);
if (r < cdf) {
setOutput(float(i));
return;
}
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
// If no other event happened, last event happened.
setOutput(float(${t-1}));
2021-03-31 13:01:22 +02:00
}
2022-12-01 20:56:40 +01:00
`}},Rne=`
2022-10-18 13:23:49 +02:00
if (a == b) {
return 1.0;
};
2022-12-01 20:56:40 +01:00
return a / b;`,Mne=`
2022-10-18 13:23:49 +02:00
// 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.;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
if(a.y == b.y) {
result.y = 1.;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
if(a.z == b.z) {
result.z = 1.;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
if(a.w == b.w) {
result.w = 1.;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,m_=pn({opSnippet:Rne,packedOpSnippet:Mne,checkOutOfBounds:!0}),Pne={kernelName:Ai,backendName:"webgl",kernelFunc:m_},mI="return a - b;",f_=pn({opSnippet:mI,packedOpSnippet:mI,supportsComplex:!0,cpuKernelImpl:D7}),One={kernelName:fo,backendName:"webgl",kernelFunc:f_};function g_(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{dim:s}=a,i=v.parseAxisParam([s],r.shape),o=h_({inputs:{x:r},backend:n,attrs:{reductionIndices:i,keepDims:!1}}),l=N.expandShapeToKeepDim(o.shape,i),u=he({inputs:{x:o},backend:n,attrs:{shape:l}}),p=f_({inputs:{a:r,b:u},backend:n}),d=p_({inputs:{x:p},backend:n}),c=Of({inputs:{x:d},backend:n,attrs:{axis:i,keepDims:!1}}),h=he({inputs:{x:c},backend:n,attrs:{shape:l}}),m=m_({inputs:{a:d,b:h},backend:n});return n.disposeIntermediateTensorInfo(o),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(c),n.disposeIntermediateTensorInfo(h),m}var Lne={kernelName:ho,backendName:"webgl",kernelFunc:g_};function zne(e){let{inputs:t,backend:n,attrs:a}=e,{logits:r}=t,{numSamples:s,seed:i,normalized:o}=a,l=o?r:g_({inputs:{logits:r},backend:n,attrs:{dim:r.shape.length-1}}),u=l.shape[0],p=l.shape[1],d=new Dne(u,p,s),c=[[i]],h=n.runWebGLProgram(d,[l],"int32",c);return o||n.disposeIntermediateTensorInfo(l),h}var Wne={kernelName:bm,backendName:"webgl",kernelFunc:zne},Bne=Ma+`
2022-10-18 13:23:49 +02:00
return -x;
2022-12-01 20:56:40 +01:00
`,Vne=`
2022-10-18 13:23:49 +02:00
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;
2022-12-01 20:56:40 +01:00
`;function Une(e){let{inputs:t,backend:n}=e,{x:a}=t;if(n.shouldExecuteOnCPU([a])){let s=n.texData.get(a.dataId),[i,o]=f7(s.values,a.shape,a.dtype);return n.makeTensorInfo(o,a.dtype,i)}let r;return H().getBool("WEBGL_PACK_UNARY_OPERATIONS")?r=new es(a.shape,Vne):r=new rr(a.shape,Bne),n.runWebGLProgram(r,[a],a.dtype)}var Gne={kernelName:nu,backendName:"webgl",kernelFunc:Une},Hne=hr.nonMaxSuppressionV3Impl;function jne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),{selectedIndices:d}=Hne(u,p,i,o,l);return n.makeTensorInfo([d.length],"int32",new Int32Array(d))}var qne={kernelName:ru,backendName:"webgl",kernelFunc:jne},Kne=hr.nonMaxSuppressionV4Impl;function Xne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,padToMaxOutputSize:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),{selectedIndices:c,validOutputs:h}=Kne(p,d,i,o,l,u);return[n.makeTensorInfo([c.length],"int32",new Int32Array(c)),n.makeTensorInfo([],"int32",new Int32Array([h]))]}var Yne={kernelName:su,backendName:"webgl",kernelFunc:Xne},Zne=hr.nonMaxSuppressionV5Impl;function Jne(e){N.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");let{inputs:t,backend:n,attrs:a}=e,{boxes:r,scores:s}=t,{maxOutputSize:i,iouThreshold:o,scoreThreshold:l,softNmsSigma:u}=a,p=n.readSync(r.dataId),d=n.readSync(s.dataId),c=i,h=o,m=l,f=u,{selectedIndices:g,selectedScores:y}=Zne(p,d,c,h,m,f);return[n.makeTensorInfo([g.length],"int32",new Int32Array(g)),n.makeTensorInfo([y.length],"float32",new Float32Array(y))]}var Qne={kernelName:iu,backendName:"webgl",kernelFunc:Jne},eae=class{constructor(e,t,n,a){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec2 coords = getOutputCoords();
int index = round(getIndices(coords.x));
setOutput(mix(float(${a}), float(${n}),
float(index == coords.y)));
}
2022-12-01 20:56:40 +01:00
`}},tae=e=>{let{inputs:t,backend:n,attrs:a}=e,{indices:r}=t,{dtype:s,depth:i,onValue:o,offValue:l}=a,u=v.sizeFromShape(r.shape),p=new eae(u,i,o,l),d=he({inputs:{x:r},backend:n,attrs:{shape:[u]}}),c=n.runWebGLProgram(p,[d],s);n.disposeIntermediateTensorInfo(d);let h=[...r.shape,i],m=he({inputs:{x:c},backend:n,attrs:{shape:h}});return n.disposeIntermediateTensorInfo(c),m},nae={kernelName:Xi,backendName:"webgl",kernelFunc:tae};function Gh(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="complex64"){let r=sd({inputs:{input:a},backend:n}),s=Gh({inputs:{x:r},backend:n}),i=Lf({inputs:{input:a},backend:n}),o=Gh({inputs:{x:i},backend:n}),l=Cs({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return id({attrs:{shape:a.shape,dtype:a.dtype,value:a.dtype==="string"?"":0},backend:n})}var aae={kernelName:Su,backendName:"webgl",kernelFunc:Gh};function y_(e){let{inputs:t,backend:n}=e,{x:a}=t;if(a.dtype==="string")throw new Error("onesLike is not supported under string dtype");if(a.dtype==="complex64"){let r=sd({inputs:{input:a},backend:n}),s=y_({inputs:{x:r},backend:n}),i=Lf({inputs:{input:a},backend:n}),o=Gh({inputs:{x:i},backend:n}),l=Cs({inputs:{real:s,imag:o},backend:n});return n.disposeIntermediateTensorInfo(r),n.disposeIntermediateTensorInfo(s),n.disposeIntermediateTensorInfo(i),n.disposeIntermediateTensorInfo(o),l}else return id({attrs:{shape:a.shape,dtype:a.dtype,value:1},backend:n})}var rae={kernelName:ou,backendName:"webgl",kernelFunc:y_};function sae(e){let{inputs:t,backend:n,attrs:a}=e,{axis:r}=a;if(t.length===1)return gx({inputs:{input:t[0]},backend:n,attrs:{dim:r}});let s=t[0].shape,i=t[0].dtype;t.forEach(p=>{v.assertShapesMatch(s,p.shape,"All tensors passed to stack must have matching shapes"),v.assert(i===p.dtype,()=>"All tensors passed to stack must have matching dtypes")});let o=[],l=t.map(p=>{let d=gx({inputs:{input:p},backend:n,attrs:{dim:r}});return o.push(d),d}),u=n_({inputs:l,backend:n,attrs:{axis:r}});return o.forEach(p=>n.disposeIntermediateTensorInfo(p)),u}var iae={kernelName:lu,backendName:"webgl",kernelFunc:sae},oae=class{constructor(e,t,n){this.variableNames=["x"],this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((l,u)=>l[0]+e[u]+l[1]);let a=e.length,r=gt(a),s=t.map(l=>l[0]).join(","),i=t.map((l,u)=>l[0]+e[u]).join(","),o=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);if(a===1){this.userCode=`
2022-10-18 13:23:49 +02:00
int start = ${s};
int end = ${i};
void main() {
int outC = getOutputCoords();
if (outC < start || outC >= end) {
setOutput(value);
} else {
setOutput(getX(outC - start));
2022-10-18 13:10:36 +02:00
}
}
2022-10-18 13:23:49 +02:00
`;return}this.userCode=`
${r} start = ${r}(${s});
${r} end = ${r}(${i});
void main() {
${r} outC = getOutputCoords();
if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
setOutput(value);
} else {
${r} coords = outC - start;
setOutput(getX(${o}));
}
}
2022-12-01 20:56:40 +01:00
`}},lae=class{constructor(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.customUniforms=[{name:"value",type:"float"}],this.outputShape=t.map((m,f)=>m[0]+e[f]+m[1]);let a=e.length,r=gt(a),s=t.map(m=>m[0]).join(","),i=t.map((m,f)=>m[0]+e[f]).join(","),o=kn("rc",a),l=kn("source",a),u=`${o[a-1]} < ${this.outputShape[a-1]}`,p=a===1?"source":`vec2(${l.slice(-2).join()})`,d=[`${r} rc = outputLoc;`,`${o[a-1]} += 1;
2022-10-18 13:23:49 +02:00
if(${u}) {
`,a===1?"":`}
rc = outputLoc;
${o[a-2]} += 1;
if(${o[a-2]} < ${this.outputShape[a-2]}) {`,a===1?"":` ${o[a-1]} += 1;
if(${u}) {`],c=a===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",h="";for(let m=0,f=a===1?2:4;m<f;m++)h+=`
${d[m]}
if (${c}) {
result[${m}] = float(value);
} else {
${r} source = rc - start;
result[${m}] = getChannel(getX(${l.join()}), ${p});
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
`;h+=a===1?"} ":"}}",this.userCode=`
const ${r} start = ${r}(${s});
const ${r} end = ${r}(${i});
void main() {
${r} outputLoc = getOutputCoords();
vec4 result = vec4(0.);
${h}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`}},b_=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{paddings:s,constantValue:i}=a;if(v.sizeFromShape(r.shape)===0){let u=s.map((p,d)=>p[0]+r.shape[d]+p[1]);return id({backend:n,attrs:{shape:u,value:i,dtype:r.dtype}})}let o=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new lae(r.shape,s,i):new oae(r.shape,s,i),l=[[i]];return n.runWebGLProgram(o,[r],r.dtype,l)},uae={kernelName:Yi,backendName:"webgl",kernelFunc:b_},pae=`
2022-10-18 13:23:49 +02:00
if(a < 0.0 && floor(b) < b){
return NAN;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
if (b == 0.0) {
return 1.0;
}
return (round(mod(b, 2.0)) != 1) ?
pow(abs(a), b) : sign(a) * pow(abs(a), b);
2022-12-01 20:56:40 +01:00
`,cae=`
2022-10-18 13:23:49 +02:00
// 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);
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
// 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;
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
bvec4 isNaN1 = lessThan(a, vec4(0.0));
bvec4 isNaN2 = lessThan(floor(b), b);
bvec4 isNaN = bvec4(isNaN1.x && isNaN2.x, isNaN1.y && isNaN2.y, isNaN1.z && isNaN2.z, isNaN1.w && isNaN2.w);
2022-12-01 20:56:40 +01:00
`+ad+`
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,dae=pn({opSnippet:pae,packedOpSnippet:cae}),hae={kernelName:Zi,backendName:"webgl",kernelFunc:dae};function mae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{axis:s,keepDims:i}=a,o=r.shape.length,l=[],u=v.parseAxisParam(s,r.shape),p=u,d=N.getAxesPermutation(p,o),c=r;d!=null&&(c=In({inputs:{x:r},backend:n,attrs:{perm:d}}),p=N.getInnerMostAxes(p.length,o),l.push(c)),N.assertAxesAreInnerMostDims("prod",p,o);let h;if(n.shouldExecuteOnCPU([c])){let m=n.texData.get(c.dataId).values,{outVals:f,outShape:g,outDtype:y}=y7(c.shape,c.dtype,m,p);h=n.makeTensorInfo(g,y,f)}else{let[m,f]=N.computeOutAndReduceShapes(c.shape,p),g=v.sizeFromShape(f),y=he({inputs:{x:c},backend:n,attrs:{shape:[-1,g]}}),b=_m(r.dtype),x=Co(y,b,"prod",n);h=he({inputs:{x},backend:n,attrs:{shape:m}}),l.push(y),l.push(x)}if(i){l.push(h);let m=N.expandShapeToKeepDim(h.shape,u);h=he({inputs:{x:h},backend:n,attrs:{shape:m}})}return l.forEach(m=>n.disposeIntermediateTensorInfo(m)),h}var fae={kernelName:Qi,backendName:"webgl",kernelFunc:mae};function gae(e){let{inputs:t,backend:n,attrs:a}=e,{paramsNestedSplits:r,paramsDenseValues:s,indices:i}=t,{outputRaggedRank:o}=a,l=r.map(y=>n.readSync(y.dataId)),u=r.map(y=>y.shape),p=n.readSync(s.dataId),d=n.readSync(i.dataId),[c,h,m]=b7(l,u,p,s.shape,s.dtype,d,i.shape,o),f=c.map(y=>n.makeTensorInfo([y.length],"int32",y)),g=n.makeTensorInfo(m,s.dtype,h);return f.concat([g])}var yae={kernelName:xm,backendName:"webgl",kernelFunc:gae};function bae(e){let{inputs:t,backend:n}=e,{starts:a,limits:r,deltas:s}=t,i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=x7(i,a.shape,a.dtype,o,r.shape,l,s.shape),d=n.makeTensorInfo([u.length],"int32",u),c=n.makeTensorInfo([p.length],a.dtype,p);return[d,c]}var xae={kernelName:vm,backendName:"webgl",kernelFunc:bae};function vae(e){let{inputs:t,backend:n,attrs:a}=e,{shape:r,values:s,defaultValue:i,rowPartitionTensors:o}=t,{rowPartitionTypes:l}=a,u=n.readSync(r.dataId),p=n.readSync(s.dataId),d=n.readSync(i.dataId),c=o.map(g=>n.readSync(g.dataId)),h=o.map(g=>g.shape),[m,f]=v7(u,r.shape,p,s.shape,s.dtype,d,i.shape,c,h,l);return n.makeTensorInfo(m,s.dtype,f)}var wae={kernelName:wm,backendName:"webgl",kernelFunc:vae},x_=e=>{let{backend:t,attrs:n}=e,{start:a,stop:r,step:s,dtype:i}=n,o=w7(a,r,s,i);return t.makeTensorInfo([o.length],i,o)},kae={kernelName:mc,backendName:"webgl",kernelFunc:x_},Iae="return 1.0 / x;",Sae=Ye({opSnippet:Iae}),Tae={kernelName:eo,backendName:"webgl",kernelFunc:Sae},Nae=Ma+`
2022-10-18 13:23:49 +02:00
return (x < 0.0) ? 0.0 : x;
2022-12-01 20:56:40 +01:00
`,Cae=`
2022-10-18 13:23:49 +02:00
vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
2021-03-26 15:26:02 +01:00
2022-10-18 13:23:49 +02:00
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;
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,Eae=Ye({opSnippet:Nae,packedOpSnippet:Cae}),_ae={kernelName:to,backendName:"webgl",kernelFunc:Eae},Aae=Ma+`
2022-10-18 13:23:49 +02:00
return (x < 0.0) ? 0.0 : min(6.0, x);
2022-12-01 20:56:40 +01:00
`,$ae=`
2022-10-18 13:23:49 +02:00
vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));
bvec4 isNaN = isnan(x);
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
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;
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,Fae=Ye({opSnippet:Aae,packedOpSnippet:$ae}),Dae={kernelName:ro,backendName:"webgl",kernelFunc:Fae},Rae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC - vec2(0.5)":d="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
2022-10-18 13:23:49 +02:00
const vec2 effectiveInputOverOutputRatioRC = vec2(
${u[0]/p[0]},
${u[1]/p[1]});
const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
// Fractional source index.
vec2 sourceFracIndexRC = ${d};
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
// Compute the four integer indices.
ivec2 sourceFloorRC = ivec2(max(sourceFracIndexRC, vec2(0.0)));
ivec2 sourceCeilRC = ivec2(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
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);
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
float top = topLeft + (topRight - topLeft) * fracRC.y;
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;
float newValue = top + (bottom - top) * fracRC.x;
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
setOutput(newValue);
2022-10-18 13:10:36 +02:00
}
2022-12-01 20:56:40 +01:00
`}},Mae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d;r?d="(vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC - vec3(0.5)":d="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
2022-10-18 13:23:49 +02:00
const vec3 effectiveInputOverOutputRatioRC = vec3(
${u[0]/p[0]},
${u[1]/p[1]},
${u[1]/p[1]});
const vec3 inputShapeRC = vec3(${i}.0, ${o}.0,
${o}.0);
float getAValue(int b, int r, int c, int d) {
return getChannel(getA(b, r, c, d), vec2(c, d));
2022-10-18 13:10:36 +02:00
}
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
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);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Fractional source index.
vec3 sourceFracIndexRC = ${d};
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Compute the four integer indices.
ivec3 sourceFloorRC = ivec3(max(sourceFracIndexRC, vec3(0.0)));
ivec3 sourceCeilRC = ivec3(
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < ${l-1};
bool hasNextRow = coords.z < ${n-1};
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// 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);
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
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);
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
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);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
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);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
vec4 top = mix(topLeft, topRight, fracRC.yyzz);
vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);
vec4 newValue = mix(top, bottom, fracRC.x);
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
setOutput(newValue);
}
2022-12-01 20:56:40 +01:00
`}};function Pae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Mae(r.shape,l,u,s,i):new Rae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],"float32")}var Oae={kernelName:ao,backendName:"webgl",kernelFunc:Pae},Lae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
float accumulator = 0.0;
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
const float heightScale = float(${u});
const float widthScale = float(${p});
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
const float invHeightScale = float(${d});
const float invWidthScale = float(${c});
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
const int winHeight = int(${h});
const int winWidth = int(${m});
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(startRLerp - float(winHeight / 2));
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(startCLerp - float(winWidth / 2));
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
// Guard against the window exceeding the bounds of dy
if (dyR < 0 || dyR >= ${s}) {
continue;
}
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
int dyC = dyCOffset + startDyC;
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Guard against the window exceeding the bounds of dy
if (dyC < 0 || dyC >= ${i}) {
continue;
}
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
float dxR = float(dyR) * heightScale;
int topDxRIndex = int(floor(dxR));
int bottomDxRIndex = int(min(ceil(dxR), ${a-1}.0));
float dxRLerp = dxR - float(topDxRIndex);
float inverseDxRLerp = 1.0 - dxRLerp;
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
float dxC = float(dyC) * widthScale;
int leftDxCIndex = int(floor(dxC));
int rightDxCIndex = int(min(ceil(dxC), ${r-1}.0));
float dxCLerp = dxC - float(leftDxCIndex);
float inverseDxCLerp = 1.0 - dxCLerp;
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
if (r == topDxRIndex && c == leftDxCIndex) {
// topLeft
accumulator +=
getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;
}
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
if (r == topDxRIndex && c == rightDxCIndex) {
// topRight
accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;
}
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
if (r == bottomDxRIndex && c == leftDxCIndex) {
// bottomLeft
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;
}
if (r == bottomDxRIndex && c == rightDxCIndex) {
// bottomRight
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;
}
}
}
// End loop over dy
setOutput(accumulator);
}
2022-12-01 20:56:40 +01:00
`}};function zae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Lae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var Wae={kernelName:Sm,backendName:"webgl",kernelFunc:zae},Bae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec2(yRC) + vec2(0.5)) * effectiveInputOverOutputRatioRC, vec2(0.0))":c="vec2(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
2022-10-18 13:23:49 +02:00
const vec2 effectiveInputOverOutputRatioRC = vec2(
${u[0]/p[0]},
${u[1]/p[1]});
const vec2 inputShapeRC = vec2(${i}.0, ${o}.0);
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
ivec2 yRC = coords.yz;
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Fractional source index.
vec2 sourceFracIndexRC = ${c};
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Compute the coordinators of nearest neighbor point.
ivec2 sourceNearestRC = ivec2(
min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${d})));
float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
setOutput(newValue);
}
2022-12-01 20:56:40 +01:00
`}},Vae=class{constructor(e,t,n,a,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];let[s,i,o,l]=e;this.outputShape=[s,t,n,l];let u=[a&&t>1?i-1:i,a&&n>1?o-1:o],p=[a&&t>1?t-1:t,a&&n>1?n-1:n],d=a?"0.5":"0.0",c;r?c="max((vec3(yRC) + vec3(0.5)) * effectiveInputOverOutputRatioRC, vec3(0.0))":c="vec3(yRC) * effectiveInputOverOutputRatioRC",this.userCode=`
2022-10-18 13:23:49 +02:00
const vec3 effectiveInputOverOutputRatioRC = vec3(
${u[0]/p[0]},
${u[1]/p[1]},
${u[1]/p[1]});
const vec3 inputShapeRC = vec3(${i}.0, ${o}.0,
${o}.0);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
float getAValue(int b, int r, int c, int d) {
return getChannel(getA(b, r, c, d), vec2(c, d));
}
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
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);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Fractional source index.
vec3 sourceFracIndexRC = ${c};
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Compute the coordinators of nearest neighbor point.
ivec3 sourceNearestRC = ivec3(
min(inputShapeRC - 1.0, floor(sourceFracIndexRC + ${d})));
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
// Should we calculate next column and row elements in 2x2 packed cell.
bool hasNextCol = d < ${l-1};
bool hasNextRow = coords.z < ${n-1};
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
vec4 newValue = vec4(
getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d),
hasNextCol ? getAValue(b, sourceNearestRC.x, sourceNearestRC.y, d + 1)
: 0.0,
hasNextRow ? getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d)
: 0.0,
(hasNextRow && hasNextCol) ?
getAValue(b, sourceNearestRC.x, sourceNearestRC.z, d + 1) : 0.0);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
setOutput(newValue);
}
2022-12-01 20:56:40 +01:00
`}};function Uae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r}=t,{alignCorners:s,halfPixelCenters:i,size:o}=a,[l,u]=o,p=H().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Vae(r.shape,l,u,s,i):new Bae(r.shape,l,u,s,i);return n.runWebGLProgram(p,[r],r.dtype)}var Gae={kernelName:no,backendName:"webgl",kernelFunc:Uae},Hae=class{constructor(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t;let[,a,r]=t,[,s,i]=e,o=[n&&s>1?a-1:a,n&&i>1?r-1:r],l=[n&&s>1?s-1:s,n&&i>1?i-1:i],u=o[0]/l[0],p=o[1]/l[1],d=1/u,c=1/p,h=Math.ceil(d)*2+2,m=Math.ceil(c)*2+2;this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
int b = coords[0];
int d = coords[3];
int r = coords[1];
int c = coords[2];
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
float accumulator = 0.0;
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
const float heightScale = float(${u});
const float widthScale = float(${p});
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
const float invHeightScale = float(${d});
const float invWidthScale = float(${c});
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
const int winHeight = int(${h});
const int winWidth = int(${m});
2020-10-11 18:41:17 +02:00
2022-10-18 13:23:49 +02:00
// Compute bounds for where in dy we will look
float startRLerp = floor(float(r) * invHeightScale);
int startDyR = int(floor(startRLerp - float(winHeight / 2)));
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
float startCLerp = floor(float(c) * invWidthScale);
int startDyC = int(floor(startCLerp - float(winWidth / 2)));
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
// Loop over dy
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
int dyR = dyROffset + startDyR;
2022-05-18 14:36:05 +02:00
2022-10-18 13:23:49 +02:00
// Guard against the window exceeding the bounds of dy
if (dyR < 0 || dyR >= ${s}) {
continue;
}
2022-05-18 14:36:05 +02:00
2022-10-18 13:23:49 +02:00
for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
int dyC = dyCOffset + startDyC;
2022-05-18 14:36:05 +02:00
2022-10-18 13:23:49 +02:00
// Guard against the window exceeding the bounds of dy
if (dyC < 0 || dyC >= ${i}) {
continue;
}
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
float sourceFracRow =
float(${o[0]}) *
(float(dyR) / float(${l[0]}));
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
float sourceFracCol =
float(${o[1]}) *
(float(dyC) / float(${l[1]}));
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
int sourceNearestRow = int(min(
float(int(${a}) - 1),
${n} ? float(round(sourceFracRow)) :
float(floor(sourceFracRow))));
2020-10-12 20:28:19 +02:00
2022-10-18 13:23:49 +02:00
int sourceNearestCol = int(min(
float(int(${r}) - 1),
${n} ? float(round(sourceFracCol)) :
float(floor(sourceFracCol))));
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
if (r == sourceNearestRow && c == sourceNearestCol) {
accumulator += getDy(b, dyR, dyC, d);
}
}
}
// End loop over dy
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
setOutput(accumulator);
}
2022-12-01 20:56:40 +01:00
`}};function jae(e){let{inputs:t,backend:n,attrs:a}=e,{images:r,dy:s}=t,{alignCorners:i}=a,o=new Hae(s.shape,r.shape,i);return n.runWebGLProgram(o,[s],s.dtype)}var qae={kernelName:Im,backendName:"webgl",kernelFunc:jae},Kae=class{constructor(e,t){this.variableNames=["x"];let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);if(this.outputShape=e,n===1){this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
int coord = getOutputCoords();
setOutput(getX(${e[0]} - coord - 1));
}
`;return}let a=i=>t.indexOf(i)!==-1&&e[i]!==1?`${e[i]} - coords[${i}] - 1`:`coords[${i}]`,r=e.map((i,o)=>a(o)).join(","),s=gt(n);this.userCode=`
void main() {
${s} coords = getOutputCoords();
setOutput(getX(${r}));
}
2022-12-01 20:56:40 +01:00
`}},Xae=class{constructor(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;let n=e.length;if(n>4)throw new Error(`WebGL backend: Reverse of rank-${n} tensor is not yet supported`);this.outputShape=e;let a=kn("rc",n),r=`${a[n-1]} + 1 < ${this.outputShape[n-1]}`,s=`${a[n-2]} + 1 < ${this.outputShape[n-2]}`,i=gt(n);n===1?this.userCode=`
2022-10-18 13:23:49 +02:00
void main(){
int rc = getOutputCoords();
vec4 result = vec4(0.);
result.r = getChannel(getX(${e[0]} - rc - 1),
${e[0]} - rc - 1);
if(${r}){
result.g = getChannel(getX(${e[0]} - (rc + 1) - 1),
${e[0]} - (rc + 1) - 1);
}
setOutput(result);
}
`:this.userCode=`
void main() {
${i} rc = getOutputCoords();
vec4 result = vec4(0.);
result.r = ${o(a.slice())};
if(${r}){
result.g = ${l(a.slice())};
}
if(${s}) {
result.b = ${u(a.slice())};
if(${r}) {
result.a = ${p(a.slice())};
}
}
setOutput(result);
}
2022-12-01 20:56:40 +01:00
`;function o(h){return d(h)}function l(h){return h[n-1]="("+h[n-1]+" + 1)",d(h)}function u(h){return h[n-2]="("+h[n-2]+" + 1)",d(h)}function p(h){return h[n-1]="("+h[n-1]+" + 1)",h[n-2]="("+h[n-2]+" + 1)",d(h)}function d(h){let m=e.map((y,b)=>c(b,h)),f=m.join(","),g=m.slice(-2).join(",");return`getChannel(getX(${f}), vec2(${g}))`}function c(h,m){return t.indexOf(h)!==-1&&e[h]!==1?`${e[h]} - ${m[h]} - 1`:`${m[h]}`}}};function Yae(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{dims:s}=a,i=r.shape.length,o=v.parseAxisParam(s,r.shape);if(i===0)return ta({inputs:{x:r},backend:n});let l=H().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Xae(r.shape,o):new Kae(r.shape,o);return n.runWebGLProgram(l,[r],r.dtype)}var Zae={kernelName:so,backendName:"webgl",kernelFunc:Yae},Jae=class{constructor(e,t){this.variableNames=["Image"],this.outputShape=[],this.customUniforms=[{name:"params",type:"vec4"}];let n=e[1],a=e[2];this.outputShape=e;let r="";typeof t=="number"?r=`float outputValue = ${t.toFixed(2)};`:r=`
2022-10-18 13:23:49 +02:00
vec3 fill = vec3(${t.join(",")});
float outputValue = fill[coords[3]];`,this.userCode=`
void main() {
ivec4 coords = getOutputCoords();
int x = coords[2];
int y = coords[1];
float coordXFloat = (float(x) - params[0]) * params[3] -
(float(y) - params[1]) * params[2];
float coordYFloat = (float(x) - params[0]) * params[2] +
(float(y) - params[1]) * params[3];
int coordX = int(round(coordXFloat + params[0]));
int coordY = int(round(coordYFloat + params[1]));
${r}
if(coordX >= 0 && coordX < ${a} && coordY >= 0 && coordY < ${n}) {
outputValue = getImage(coords[0], coordY, coordX, coords[3]);
}
setOutput(outputValue);
}
2022-12-01 20:56:40 +01:00
`}},Qae={kernelName:Tu,backendName:"webgl",kernelFunc:({inputs:e,attrs:t,backend:n})=>{let{image:a}=e,{radians:r,fillValue:s,center:i}=t,o=n,l=new Jae(a.shape,s),[u,p]=N.getImageCenter(i,a.shape[1],a.shape[2]),d=[[u,p,Math.sin(r),Math.cos(r)]];return o.runWebGLProgram(l,[a],a.dtype,d)}},ere=`
2022-10-18 13:23:49 +02:00
// OpenGL ES does not support round function.
// The algorithm is based on banker's rounding.
float base = floor(x);
if ((x - base) < 0.5) {
return floor(x);
} else if ((x - base) > 0.5) {
return ceil(x);
} else {
if (mod(base, 2.0) == 0.0) {
return base;
} else {
return base + 1.0;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
}
2022-12-01 20:56:40 +01:00
`,tre=Ye({opSnippet:ere}),nre={kernelName:io,backendName:"webgl",kernelFunc:tre},are="return inversesqrt(x);",rre=Ye({opSnippet:are,cpuKernelImpl:k7}),sre={kernelName:oo,backendName:"webgl",kernelFunc:rre},v_=class{constructor(e,t,n,a,r,s,i=!0){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;let o=gt(r.length),l=gt(s.length),u="";n===1?u="i":n===2&&(u="i, j");let p=`getIndices(${u})`,d="";a===1?d="i":a===2&&(d="i, coords[1]");let c=`getUpdates(${d})`,h=t>1?"strides[j]":"strides";this.userCode=`
2022-10-18 13:23:49 +02:00
${o} strides = ${o}(${r});
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
void main() {
${l} coords = getOutputCoords();
float sum = 0.0;
bool found = false;
for (int i = 0; i < ${e}; i++) {
int flattenedIndex = 0;
for (int j = 0; j < ${t}; j++) {
int index = round(${p});
flattenedIndex += index * ${h};
}
if (flattenedIndex == coords[0]) {
sum += ${c};
found = true;
}
}
setOutput(mix(getDefaultValue(), sum, float(found)));
}
2022-12-01 20:56:40 +01:00
`}};function ire(e){let{inputs:t,backend:n,attrs:a}=e,{indices:r,updates:s}=t,{shape:i}=a,{sliceRank:o,numUpdates:l,sliceSize:u,strides:p,outputSize:d}=N.calculateShapes(s,r,i),c=[d/u,u];if(d===0)return n.makeTensorInfo(i,r.dtype);let h=he({inputs:{x:r},backend:n,attrs:{shape:[l,o]}}),m=he({inputs:{x:s},backend:n,attrs:{shape:[l,u]}}),f=n.makeTensorInfo([],"float32",new Float32Array([0])),g=new v_(l,o,h.shape.length,m.shape.length,p,c),y=n.runWebGLProgram(g,[m,h,f],m.dtype),b=he({inputs:{x:y},backend:n,attrs:{shape:i}});return n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(m),n.disposeIntermediateTensorInfo(y),n.disposeIntermediateTensorInfo(f),b}var ore={kernelName:pu,backendName:"webgl",kernelFunc:ire},lre=class{constructor(e,t,n,a){this.variableNames=["sortedSequence","values"],this.customUniforms=[{name:"numInputs",type:"int"}],this.outputShape=[e,n];let r="while (left < right) {",s=`for (int i = 0; i < ${Math.ceil(Math.log2(t+1))}; ++i) { if (left >= right) break;`,i=H().getNumber("WEBGL_VERSION")===2?r:s,o=a==="left"?"<":"<=";this.userCode=`
2022-10-18 13:23:49 +02:00
int findBound(int batch, float value) {
int left = 0;
int right = numInputs;
int mid;
${i}
mid = (left + right) / 2;
if (getSortedSequence(batch, mid) ${o} value) {
left = mid + 1;
} else {
right = mid;
}
}
return right;
}
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int valueIndex = coords[1];
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
float value = getValues(batch, valueIndex);
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
setOutput(float(findBound(batch, value)));
}
2022-12-01 20:56:40 +01:00
`}};function ure(e){let{inputs:t,backend:n,attrs:a}=e,{sortedSequence:r,values:s}=t,{side:i}=a,o=new lre(r.shape[0],r.shape[1],s.shape[1],i),l=[[r.shape[1]]];return n.runWebGLProgram(o,[r,s],"int32",l)}var pre={kernelName:Tm,backendName:"webgl",kernelFunc:ure},cre=class{constructor(e,t,n){this.variableNames=["c","a","b"],this.outputShape=t;let a,r;if(n>4)throw Error(`Where for rank ${n} is not yet supported`);if(n===1)r="resRC",a="resRC";else{let i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[];for(let u=0;u<t.length;u++)l.push(`${i[u]}`),u<e&&o.push(`${i[u]}`);a=o.join(),r=l.join()}let s=gt(n);this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${s} resRC = getOutputCoords();
float cVal = getC(${a});
if (cVal >= 1.0) {
setOutput(getA(${r}));
} else {
setOutput(getB(${r}));
}
}
2022-12-01 20:56:40 +01:00
`}};function dre(e){let{inputs:t,backend:n}=e,{condition:a,t:r,e:s}=t,i=new cre(a.shape.length,r.shape,r.shape.length);return n.runWebGLProgram(i,[a,r,s],ma(r.dtype,s.dtype))}var hre={kernelName:cu,backendName:"webgl",kernelFunc:dre},mre=`
2022-10-18 13:23:49 +02:00
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
// see: https://arxiv.org/abs/1706.02515
float scaleAlpha = ${N.SELU_SCALEALPHA};
float scale = ${N.SELU_SCALE};
return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
2022-12-01 20:56:40 +01:00
`,fre=Ye({opSnippet:mre}),gre={kernelName:du,backendName:"webgl",kernelFunc:fre},yre=Gu+`
2022-10-18 13:23:49 +02:00
return 1.0 / (1.0 + exp(-1.0 * x));
2022-12-01 20:56:40 +01:00
`,bre=`
2022-10-18 13:23:49 +02:00
vec4 result = 1.0 / (1.0 + exp(-1.0 * x));
bvec4 isNaN = isnan(x);
2021-03-26 15:26:02 +01:00
2022-10-18 13:23:49 +02:00
result.r = isNaN.r ? x.r : result.r;
result.g = isNaN.g ? x.g : result.g;
result.b = isNaN.b ? x.b : result.b;
result.a = isNaN.a ? x.a : result.a;
2021-03-26 15:26:02 +01:00
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,xre=Ye({opSnippet:yre,packedOpSnippet:bre,cpuKernelImpl:S7}),vre={kernelName:uo,backendName:"webgl",kernelFunc:xre},wre=`
2022-10-18 13:23:49 +02:00
if (isnan(x)) { return 0.0; }
return sign(x);
2022-12-01 20:56:40 +01:00
`,kre=Ye({opSnippet:wre}),Ire={kernelName:fu,backendName:"webgl",kernelFunc:kre},Sre=Gu+`
2022-10-18 13:23:49 +02:00
return sin(x);
2022-12-01 20:56:40 +01:00
`,Tre=Ye({opSnippet:Sre}),Nre={kernelName:lo,backendName:"webgl",kernelFunc:Tre},Cre=`
2022-10-18 13:23:49 +02:00
float e2x = exp(x);
return (e2x - 1.0 / e2x) / 2.0;
2022-12-01 20:56:40 +01:00
`,Ere=Ye({opSnippet:Cre}),_re={kernelName:mu,backendName:"webgl",kernelFunc:Ere},Are=`
2022-10-18 13:23:49 +02:00
float epsilon = 1.1920928955078125e-7;
float threshold = log(epsilon) + 2.0;
2021-03-31 13:01:22 +02:00
2022-10-18 13:23:49 +02:00
bool too_large = x > -threshold;
bool too_small = x < threshold;
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
float result;
float exp_x = exp(x);
if (too_large){
result = x;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
else if (too_small){
result = exp_x;
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
else{
result = log(exp_x + 1.0);
2022-10-18 13:10:36 +02:00
}
2022-10-18 13:23:49 +02:00
return result;
2022-12-01 20:56:40 +01:00
`,$re=Ye({opSnippet:Are}),Fre={kernelName:gu,backendName:"webgl",kernelFunc:$re},Dre=e=>{let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{blockShape:s,paddings:i}=a;v.assert(r.shape.length<=4,()=>"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet");let o=s.reduce((y,b)=>y*b),l=[[0,0]];l.push(...i);for(let y=1+s.length;y<r.shape.length;++y)l.push([0,0]);let u=[],p=b_({inputs:{x:r},backend:n,attrs:{paddings:l,constantValue:0}}),d=N.getReshaped(p.shape,s,o,!1),c=N.getPermuted(d.length,s.length,!1),h=N.getReshapedPermuted(p.shape,s,o,!1),m=he({inputs:{x:p},backend:n,attrs:{shape:d}}),f=In({inputs:{x:m},backend:n,attrs:{perm:c}}),g=he({inputs:{x:f},backend:n,attrs:{shape:h}});return u.push(p),u.push(m),u.push(f),u.forEach(y=>n.disposeIntermediateTensorInfo(y)),g},Rre={kernelName:yu,backendName:"webgl",kernelFunc:Dre};function Mre(e){let{inputs:t,backend:n}=e,{indices:a,values:r,denseShape:s,defaultValue:i}=t;if(s.shape.length!==1)throw new Error(`Dense shape must be a vector, saw:
2022-10-18 13:23:49 +02:00
${s.shape}`);if(a.shape.length!==2)throw new Error(`Indices must be a matrix, saw:
${a.shape}`);if(r.shape.length!==1)throw new Error(`Values must be a vector, saw:
${r.shape}`);if(i.shape.length!==0)throw new Error(`Default value must be a scalar, saw:
2022-12-01 20:56:40 +01:00
${i.shape}`);let o=n.readSync(a.dataId),l=n.readSync(r.dataId),u=n.readSync(s.dataId),p=n.readSync(i.dataId)[0],[d,c,h,m,f]=N7(o,a.shape,a.dtype,l,r.dtype,u,p);return[n.makeTensorInfo(c,a.dtype,d),n.makeTensorInfo([c[0]],r.dtype,h),n.makeTensorInfo([m.length],"bool",new Uint8Array(m.map(g=>Number(g)))),n.makeTensorInfo([f.length],a.dtype,new Int32Array(f))]}var Pre={kernelName:fc,backendName:"webgl",kernelFunc:Mre};function Ore(e){let{inputs:t,backend:n}=e,{inputIndices:a,inputShape:r,newShape:s}=t;if(a.shape.length!==2)throw new Error(`Input indices should be a matrix but received shape ${a.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape ${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=Array.from(n.readSync(r.dataId)),o=n.readSync(a.dataId),l=Array.from(n.readSync(s.dataId)),[u,p,d]=C7(o,a.shape,a.dtype,i,l);return[n.makeTensorInfo(p,a.dtype,u),n.makeTensorInfo([d.length],s.dtype,new Int32Array(d))]}var Lre={kernelName:xu,backendName:"webgl",kernelFunc:Ore};function zre(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape
2022-10-18 13:23:49 +02:00
${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
2022-12-01 20:56:40 +01:00
${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=VE(i,a.shape,a.dtype,o,l,!0);return n.makeTensorInfo(p,a.dtype,u)}var Wre={kernelName:gc,backendName:"webgl",kernelFunc:zre};function Bre(e){let{inputs:t,backend:n}=e,{data:a,indices:r,segmentIds:s}=t;if(a.shape.length<1)throw new Error("Data should be at least 1 dimensional but received scalar");if(r.shape.length!==1)throw new Error(`Indices should be a vector but received shape
2022-10-18 13:23:49 +02:00
${r.shape}`);if(s.shape.length!==1)throw new Error(`Segment ids should be a vector but received shape
2022-12-01 20:56:40 +01:00
${s.shape}`);let i=n.readSync(a.dataId),o=n.readSync(r.dataId),l=n.readSync(s.dataId),[u,p]=VE(i,a.shape,a.dtype,o,l);return n.makeTensorInfo(p,a.dtype,u)}var Vre={kernelName:yc,backendName:"webgl",kernelFunc:Bre};function Ure(e){let{inputs:t,backend:n,attrs:a}=e,{sparseIndices:r,sparseValues:s,defaultValue:i}=t,{outputShape:o}=a,{sliceRank:l,numUpdates:u,sliceSize:p,strides:d,outputSize:c}=N.calculateShapes(s,r,o),h=!1;if(s.dtype==="string"){let y=n.bufferSync(r),b=n.bufferSync(s),x=v.decodeString(n.readSync(i.dataId)[0]),w=I7(y,b,o,c,p,u,l,d,x,h);return n.makeTensorInfo(o,w.dtype,w.values)}let m=new v_(u,l,r.shape.length,s.shape.length,d,[c,1],h),f=n.runWebGLProgram(m,[s,r,i],s.dtype),g=he({inputs:{x:f},backend:n,attrs:{shape:o}});return n.disposeIntermediateTensorInfo(f),g}var Gre={kernelName:Nm,backendName:"webgl",kernelFunc:Ure};function Hre(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=a,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=r.shape.length,p=new Array(u).fill(0),d=r.shape.slice();return l.map(c=>{let h=[...d];h[o]=c;let m=Hu({inputs:{x:r},backend:n,attrs:{begin:p,size:h}});return p[o]+=c,m})}var jre={kernelName:bu,backendName:"webgl",kernelFunc:Hre},fI="return sqrt(x);",qre=Ye({opSnippet:fI,packedOpSnippet:fI,cpuKernelImpl:E7}),Kre={kernelName:po,backendName:"webgl",kernelFunc:qre},Xre="return x * x;",Yre=Ye({opSnippet:Xre}),Zre={kernelName:bc,backendName:"webgl",kernelFunc:Yre},gI="return (a - b) * (a - b);",Jre=pn({opSnippet:gI,packedOpSnippet:gI}),Qre={kernelName:mo,backendName:"webgl",kernelFunc:Jre};function ese({inputs:e,attrs:t,backend:n}){let{x:a}=e,r=Ma+`
2022-10-18 13:23:49 +02:00
return x > 0.0 ? 1.0 : float(${t.alpha});
2022-12-01 20:56:40 +01:00
`,s=new rr(a.shape,r);return n.runWebGLProgram(s,[a],a.dtype)}var tse={kernelName:bs,backendName:"webgl",kernelFunc:ese},nse=class{constructor(e,t,n){this.variableNames=["x"],this.outputShape=n;let a=n.length,r=gt(n.length),s=gt(n.length),i="";if(a===1)i="coords * strides + begin";else{let o=0;i=n.map((l,u)=>(o++,n.length===1?`coords * strides[${u}] + begin[${u}]`:`coords[${o-1}] * strides[${u}] + begin[${u}]`)).join(",")}this.userCode=`
2022-10-18 13:23:49 +02:00
${r} begin = ${r}(${e});
${r} strides = ${r}(${t});
2022-03-07 19:17:31 +01:00
2022-10-18 13:23:49 +02:00
void main() {
${s} coords = getOutputCoords();
setOutput(getX(${i}));
}
2022-12-01 20:56:40 +01:00
`}};function ase(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=he({inputs:{x:r},backend:n,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let C=Kt.computeOutShape(b,x,w),_=Hu({inputs:{x:r},backend:n,attrs:{begin:b,size:C}});I=he({inputs:{x:_},backend:n,attrs:{shape:m}}),n.disposeIntermediateTensorInfo(_)}else if(n.shouldExecuteOnCPU([r])){let C=n.readSync(r.dataId),_=Pe(r.shape,r.dtype,C),$=_7(h,_,w,b);I=n.makeTensorInfo(m,r.dtype,$.values)}else{let C=new nse(b,w,h);I=n.runWebGLProgram(C,[r],r.dtype)}let T=he({inputs:{x:I},backend:n,attrs:{shape:m}});return n.disposeIntermediateTensorInfo(I),T}var rse={kernelName:vu,backendName:"webgl",kernelFunc:ase};function sse(e){let{inputs:t,backend:n,attrs:a}=e,{separator:r,nGramWidths:s,leftPad:i,rightPad:o,padWidth:l,preserveShortSequences:u}=a,{data:p,dataSplits:d}=t,c=n.readSync(p.dataId),h=n.readSync(d.dataId),[m,f]=A7(c,h,r,s,i,o,l,u);return[n.makeTensorInfo([m.length],"string",m),n.makeTensorInfo(d.shape,"int32",f)]}var ise={kernelName:xc,backendName:"webgl",kernelFunc:sse};function ose(e){let{inputs:t,backend:n,attrs:a}=e,{skipEmpty:r}=a,{input:s,delimiter:i}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(s.shape.length!==1)throw new Error(`Input must be a vector, got shape: ${s.shape}`);if(i.shape.length!==0)throw new Error(`Delimiter must be a scalar, got shape: ${i.shape}`);let o=n.readSync(s.dataId),l=n.readSync(i.dataId)[0],[u,p,d]=$7(o,l,r),c=p.length;return[n.makeTensorInfo([c,2],"int32",u),n.makeTensorInfo([c],"string",p),n.makeTensorInfo([2],"int32",new Int32Array(d))]}var lse={kernelName:vc,backendName:"webgl",kernelFunc:ose};function use(e){let{inputs:t,backend:n,attrs:a}=e,{numBuckets:r}=a,{input:s}=t;if(s.dtype!=="string")throw new Error("Input must be of datatype string");if(r<=0)throw new Error("Number of buckets must be at least 1");let i=n.readSync(s.dataId),o=F7(i,r);return n.makeTensorInfo(s.shape,"int32",o)}var pse={kernelName:wc,backendName:"webgl",kernelFunc:use},cse="return tan(x);",dse=Ye({opSnippet:cse}),hse={kernelName:go,backendName:"webgl",kernelFunc:dse},mse=`
2022-10-18 13:23:49 +02:00
float e2x = exp(-2.0 * abs(x));
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
2022-12-01 20:56:40 +01:00
`,fse=Ye({opSnippet:mse}),gse={kernelName:yo,backendName:"webgl",kernelFunc:fse},yse=class{constructor(e,t){this.variableNames=["A"];let n=new Array(e.length);for(let s=0;s<n.length;s++)n[s]=e[s]*t[s];this.outputShape=n,this.rank=n.length;let a=gt(this.rank),r=bse(e);this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
${a} resRC = getOutputCoords();
setOutput(getA(${r}));
}
2022-12-01 20:56:40 +01:00
`}};function bse(e){let t=e.length;if(t>5)throw Error(`Tile for rank ${t} is not yet supported`);if(t===1)return`imod(resRC, ${e[0]})`;let n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],a=[];for(let r=0;r<e.length;r++)a.push(`imod(${n[r]}, ${e[r]})`);return a.join()}function w_(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{reps:s}=a;if(r.dtype==="string"||r.shape.length>5){let o=n.readSync(r.dataId),l=r.dtype==="string"?o.map(d=>v.decodeString(d)):o,u=Pe(r.shape,r.dtype,l),p=R7(u,s);return n.makeTensorInfo(p.shape,p.dtype,p.values)}let i=new yse(r.shape,s);return n.runWebGLProgram(i,[r],r.dtype)}var xse={kernelName:ys,backendName:"webgl",kernelFunc:w_},vse=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"negativeInf",type:"float"},{name:"dir",type:"int"},{name:"inc",type:"int"}],this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int elemIdx = coords[1];
2021-04-01 19:39:54 +02:00
2022-10-18 13:23:49 +02:00
// 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.
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;
int i = isFirstInPair ? elemIdx : elemIdx - inc;
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
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;
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
// 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));
}
}
2022-12-01 20:56:40 +01:00
`}},wse=class{constructor(e){this.variableNames=["x","indices"],this.customUniforms=[{name:"n",type:"int"},{name:"firstPass",type:"int"},{name:"k",type:"int"}],this.outputShape=e,this.userCode=`
2022-10-18 13:23:49 +02:00
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];
2021-03-09 23:32:33 +01:00
2022-10-18 13:23:49 +02:00
// 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.
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
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));
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
float x0 = getX(batch, i0);
float x1 = i1 < n ? getX(batch, i1) : x0;
setOutput(x0 >= x1 ? float(i0) : float(i1));
}
2022-12-01 20:56:40 +01:00
`}};function Bs(e,t){t!==null&&e.disposeIntermediateTensorInfo(t)}function yI(e){let t=1;for(;t<e;)t*=2;return t}function kse(e){let{inputs:t,backend:n,attrs:a}=e,{x:r}=t,{k:s,sorted:i}=a,o=H().getNumber("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD"),l=H().getNumber("TOPK_K_CPU_HANDOFF_THRESHOLD"),u=r.shape,p=u[u.length-1];if(n.shouldExecuteOnCPU([r])||p<o||s>l){let $=n.readSync(r.dataId),[R,F]=M7($,u,r.dtype,s,i);return[n.makeTensorInfo(R.shape,R.dtype,R.values),n.makeTensorInfo(F.shape,F.dtype,F.values)]}if(s===0)return u[u.length-1]=0,[n.makeTensorInfo(u,r.dtype,[]),n.makeTensorInfo(u,"int32",[])];if(p===1)return[r,id({attrs:{shape:u,dtype:"int32",value:0},backend:n})];let d=n.texData.get(r.dataId),c=d!==null&&d.isPacked,h=c?n.unpackTensor(r):r,m=v.sizeFromShape(u)/p,f=he({inputs:{x:h},attrs:{shape:[m,p]},backend:n});c&&Bs(n,h);let g=yI(s),y=yI(p),b=null,x=()=>b===null?[f,f]:[f,b],w=($,R,F)=>{let S=x(),M=new vse(F),B=[[p],[b===null?1:0],[Number.NEGATIVE_INFINITY],[$],[R]],U=b;b=n.runWebGLProgram(M,S,"int32",B),Bs(n,U)};for(let $=1;$<g;$*=2){let R=$*2;for(let F=$;F>=1;F/=2)w(R,F,[m,y])}for(let $=y;$>g;$/=2){let R=x(),F=new wse([m,$/2]),S=[[p],[b===null?1:0],[g]],M=b;b=n.runWebGLProgram(F,R,"int32",S),Bs(n,M);let B=g/2,U=B*2;for(let G=B;G>=1;G/=2)w(U,G,b.shape)}let I=b;b=Hu({inputs:{x:b},backend:n,attrs:{begin:0,size:[m,s]}}),Bs(n,I);let T=d_({inputs:{x:f,indices:b},backend:n,attrs:{axis:1,batchDims:1}});Bs(n,f);let C=u.slice(0,-1);C.push(s),I=b,b=he({inputs:{x:b},attrs:{shape:C},backend:n}),Bs(n,I);let _=T;return T=he({inputs:{x:T},attrs:{shape:C},backend:n}),Bs(n,_),[T,b]}var Ise={kernelName:wu,backendName:"webgl",kernelFunc:kse},Sse=class{constructor(e,t,n,a,r,s){this.variableNames=["Image","Transforms"],this.outputShape=s;let i=n==="nearest"?1:2,o;switch(a){case"constant":o=1;break;case"reflect":o=2;break;case"wrap":o=3;break;case"nearest":o=4;break;default:o=1;break}this.userCode=`
2022-10-18 13:23:49 +02:00
float mapCoord(float outCoord, float len) {
float inCoord = outCoord;
if(${o} == 2) {
if (inCoord < 0.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz2 = 2.0 * len;
if (inCoord < sz2) {
inCoord = sz2 * float(int(float(-inCoord / sz2))) +
inCoord;
}
inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1.0;
}
} else if (inCoord > len - 1.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz2 = 2.0 * len;
inCoord -= sz2 * float(int(float(inCoord / sz2)));
if (inCoord >= len) {
inCoord = sz2 - inCoord - 1.0;
}
}
}
return clamp(inCoord, 0.0, len - 1.0);
} else if (${o} == 3) {
if (inCoord < 0.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz = len - 1.0;
inCoord += len * (float(int(float(-inCoord / sz))) + 1.0);
}
} else if (inCoord > len - 1.0) {
if (len <= 1.0) {
inCoord = 0.0;
} else {
float sz = len - 1.0;
inCoord -= len * float(int(float(inCoord / sz)));
}
}
return clamp(inCoord, 0.0, len - 1.0);
} else if (${o} == 4) {
return clamp(outCoord, 0.0, len - 1.0);
} else {
return outCoord;
}
}
float readWithFillValue(int batch, int coordY, int coordX,
int channel) {
float outputValue;
if (0 <= coordY && coordY < ${e} && 0 <= coordX && coordX < ${t}) {
outputValue = getImage(batch, coordY, coordX, channel);
} else {
outputValue = float(${r});
}
return outputValue;
}
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
void main() {
ivec4 coords = getOutputCoords();
float outputValue;
int batch = coords[0];
int x = coords[2];
int y = coords[1];
int channel = coords[3];
float xf = float(x);
float yf = float(y);
float a1 = getTransforms(batch, 0);
float a2 = getTransforms(batch, 1);
float a3 = getTransforms(batch, 2);
float b1 = getTransforms(batch, 3);
float b2 = getTransforms(batch, 4);
float b3 = getTransforms(batch, 5);
float c1 = getTransforms(batch, 6);
float c2 = getTransforms(batch, 7);
float projection = c1 * xf + c2 * yf + 1.0;
if (projection == 0.0) {
outputValue = float(${r});
} else {
float inX = (a1 * xf + a2 * yf + a3) / projection;
float inY = (b1 * xf + b2 * yf + b3) / projection;
float mapX = mapCoord(inX, float(${t}));
float mapY = mapCoord(inY, float(${e}));
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
if (${i} == 1) {
int coordY = int(round(mapY));
int coordX = int(round(mapX));
outputValue = readWithFillValue(batch, coordY, coordX,
channel);
} else {
float yFloor = floor(mapY);
float xFloor = floor(mapX);
float yCeil = yFloor + 1.0;
float xCeil = xFloor + 1.0;
float valueYFloor = (xCeil - mapX) *
readWithFillValue(batch, int(yFloor), int(xFloor), channel) +
(mapX - xFloor) *
readWithFillValue(batch, int(yFloor), int(xCeil), channel);
float valueYCeil = (xCeil - mapX) *
readWithFillValue(batch, int(yCeil), int(xFloor), channel) +
(mapX - xFloor) *
readWithFillValue(batch, int(yCeil), int(xCeil), channel);
outputValue = (yCeil - mapY) * valueYFloor +
(mapY - yFloor) * valueYCeil;
}
}
setOutput(outputValue);
}
2022-12-01 20:56:40 +01:00
`}};function Tse(e){let{inputs:t,backend:n,attrs:a}=e,{image:r,transforms:s}=t,{interpolation:i,fillMode:o,fillValue:l,outputShape:u}=a,[p,d,c,h]=r.shape,[m,f]=u!=null?u:[d,c],g=[p,m,f,h],y=new Sse(d,c,i,o,l,g);return n.runWebGLProgram(y,[r,s],"float32")}var Nse={kernelName:ku,backendName:"webgl",kernelFunc:Tse};function Cse(e){let{inputs:t,attrs:n,backend:a}=e,{axis:r}=n,{x:s}=t;zu(s,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");let i=a.readSync(s.dataId),{outputValues:o,outputShape:l,indices:u}=P7(i,r,s.shape,s.dtype);return[a.makeTensorInfo(l,s.dtype,o),a.makeTensorInfo([u.length],"int32",u)]}var Ese={kernelName:Cm,backendName:"webgl",kernelFunc:Cse};function _se(e){let{inputs:t,backend:n,attrs:a}=e,{value:r}=t,{axis:s}=a;s<0&&(s+=r.shape.length);let i=r,o=i.shape.length,l=r.shape[s],u=new Array(o-1),p=0;for(let f=0;f<o;f++)f!==s&&(u[p++]=i.shape[f]);let d=[],c=new Array(o).fill(0),h=i.shape.slice();h[s]=1;let m=new Array(l);for(let f=0;f<m.length;f++){c[s]=f;let g=Hu({inputs:{x:i},backend:n,attrs:{begin:c,size:h}}),y=he({inputs:{x:g},backend:n,attrs:{shape:u}});m[f]=y,d.push(g)}return d.forEach(f=>n.disposeIntermediateTensorInfo(f)),m}var Ase={kernelName:Iu,backendName:"webgl",kernelFunc:_se},$se=class{constructor(e,t){this.variableNames=["x","segmentIds"];let n=e.windowSize,a=e.batchSize,r=e.inSize,s=e.numSegments,i=s*Math.ceil(r/n);this.outputShape=[a,i];let o="0.0",l="sumValue",u=Math.floor(n/4)*4,p=n%4,d=`
2022-10-18 13:23:49 +02:00
sumValue += dot(values, segFilter);
`,c="";r%n>0&&(c=`
if (inIdx < 0 || inIdx >= ${r}) {
return initializationValue;
}
`);let h="";r%n>0&&(h=`
if (inIdx < 0 || inIdx >= ${r}) {
return -1.0;
}
`),this.userCode=`
const float initializationValue = ${o};
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
float getValue(int batch, int inIdx) {
${c}
return getX(batch, inIdx);
}
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
float getSegmentIdAtIndex(int inIdx) {
${h}
return getSegmentIds(inIdx);
}
2021-03-31 13:01:22 +02:00
2022-10-18 13:23:49 +02:00
void main() {
ivec2 coords = getOutputCoords();
int batch = coords[0];
int outIdx = coords[1];
int inOffset = int(floor(float(outIdx) / float(
${s})) * float(${n}));
int currentSeg = int(mod(float(outIdx), float(${s})));
2021-03-31 13:01:22 +02:00
2022-10-18 13:23:49 +02:00
float sumValue = 0.0;
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
for (int i = 0; i < ${u}; i += 4) {
int inIdx = inOffset + i;
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
getValue(batch, inIdx + 3)
);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
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
);
2020-12-15 14:15:43 +01:00
2022-10-18 13:23:49 +02:00
${d}
}
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
int inIdx = inOffset + ${u};
if (${p===1}) {
vec4 values = vec4(
getValue(batch, inIdx),
initializationValue,
initializationValue,
initializationValue
);
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
int inIdxSeg = int(getSegmentIdAtIndex(inIdx));
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
0,
0,
0
);
2020-10-29 05:16:50 +01:00
2022-10-18 13:23:49 +02:00
${d}
} else if (${p===2}) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
initializationValue,
initializationValue
);
2021-03-31 13:01:22 +02:00
2022-10-18 13:23:49 +02:00
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
0,
0
);
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
${d}
} else if (${p===3}) {
vec4 values = vec4(
getValue(batch, inIdx),
getValue(batch, inIdx + 1),
getValue(batch, inIdx + 2),
initializationValue
);
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
vec4 segFilter = vec4(
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
0
);
2022-10-18 13:10:36 +02:00
2022-10-18 13:23:49 +02:00
${d}
}
setOutput(${l});
}
2022-12-01 20:56:40 +01:00
`}};function Fse(e){let{inputs:t,backend:n,attrs:a}=e,{x:r,segmentIds:s}=t,{numSegments:i}=a,o=r.shape.length,l=[],u=0,p=N.getAxesPermutation([u],o),d=r;p!=null&&(d=In({inputs:{x:r},backend:n,attrs:{perm:p}}),l.push(d),u=N.getInnerMostAxes(1,o)[0]);let c=N.segment_util.computeOutShape(d.shape,u,i),h=v.sizeFromShape([d.shape[u]]),m=he({inputs:{x:d},backend:n,attrs:{shape:[-1,h]}});l.push(m);let f=_m(r.dtype),g=(w,I,T,C,_)=>{let $=w.shape[0],R=w.shape[1],F=N.segment_util.segOpComputeOptimalWindowSize(R,_),S={windowSize:F,inSize:R,batchSize:$,numSegments:_},M=new $se(S,I),B=n.compileAndRun(M,[w,T],C);if(l.push(B),B.shape[1]===_)return B;let U=x_({backend:n,attrs:{start:0,stop:_,step:1,dtype:"float32"}}),G=w_({inputs:{x:U},backend:n,attrs:{reps:[R/F]}});return l.push(U),l.push(G),g(B,I,G,C,_)},y=g(m,"unsortedSegmentSum",s,f,i),b=he({inputs:{x:y},backend:n,attrs:{shape:c}}),x=b;if(p!=null){l.push(b);let w=N.getUndoAxesPermutation(p);x=In({inputs:{x},backend:n,attrs:{perm:w}})}return l.forEach(w=>n.disposeIntermediateTensorInfo(w)),x}var Dse={kernelName:kc,backendName:"webgl",kernelFunc:Fse},Rse=[_J,$J,RJ,OJ,zJ,VJ,GJ,jJ,YJ,JJ,t9,r9,o9,c9,m9,g9,b9,k9,S9,N9,A9,O9,z9,B9,q9,X9,Q9,dJ,nQ,oQ,cQ,yQ,xQ,wQ,IQ,TQ,EQ,$Q,RQ,PQ,LQ,WQ,UQ,HQ,XQ,ZQ,eee,aee,see,uee,hee,yee,vee,Iee,See,Nee,Eee,Aee,Fee,Ree,Lee,Bee,Gee,jee,Xee,Jee,nte,ite,cJ,lte,sQ,cte,mte,yte,mJ,wte,Tte,Cte,$te,Rte,Lte,Bte,Hte,Xte,Jte,ene,rne,ine,lne,dne,mne,gne,bne,vne,Sne,Ene,Fne,Wne,yJ,Gne,qne,Yne,Qne,U9,nae,rae,iae,uae,hae,gJ,fae,yae,xae,wae,kae,G9,Pne,Tae,_ae,Dae,xJ,Oae,Wae,Gae,qae,Zae,Qae,nre,sre,ore,pre,hre,gre,vre,Ire,Nre,_re,M9,Lne,Fre,Rre,Pre,Lre,Wre,Vre,Gre,jre,Kre,Zre,Qre,tse,rse,ise,lse,pse,One,NJ,hse,gse,xse,Ise,Nse,CJ,Ese,Ase,Dse,aae];for(let e of Rse)Ic(e);var _t;(function(e){e[e.float32=0]="float32",e[e.int32=1]="int32",e[e.bool=2]="bool",e[e.string=3]="string",e[e.complex64=4]="complex64"})(_t||(_t={}));var rc;(function(e){e[e.linear=0]="linear",e[e.relu=1]="relu",e[e.relu6=2]="relu6",e[e.prelu=3]="prelu",e[e.leakyrelu=4]="leakyrelu",e[e.sigmoid=5]="sigmoid",e[e.elu=6]="elu"})(rc||(rc={}));var k_;function Mse(e){k_=e.wasm.cwrap(ti,null,["number","array","number","number","array","number","number","number","number","number","number","number","number"])}function Pse(e){let{inputs:t,backend:n,attrs:a}=e,{a:r,b:s,bias:i,preluActivationWeights:o}=t;if(r.dtype!=="float32"||s.dtype!=="float32")throw new Error("_FusedMatMul for non non-float32 tensors not yet supported.");let{transposeA:l,transposeB:u,activation:p,leakyreluAlpha:d}=a,c=n.dataIdMap.get(r.dataId).id,h=n.dataIdMap.get(s.dataId).id,m=0;if(i!=null){let _=n.dataIdMap.get(i.dataId);if(_.shape.length!==1)throw new Error(`_FusedMatMul only supports rank-1 bias but got rank ${_.shape.length}.`);m=_.id}let f=o==null?0:n.dataIdMap.get(o.dataId).id,g=rc[p];if(g==null)throw new Error(`${p} activation not yet supported for FusedConv2D in the wasm backend.`);let y=l?r.shape[2]:r.shape[1],b=u?s.shape[1]:s.shape[2],x=Nu.assertAndGetBroadcastShape(r.shape.slice(0,-2),s.shape.slice(0,-2)),w=n.makeOutput([...x,y,b],r.dtype),I=n.dataIdMap.get(w.dataId).id,T=new Uint8Array(new Int32Array(r.shape).buffer),C=new Uint8Array(new Int32Array(s.shape).buffer);return k_(c,T,r.shape.length,h,C,s.shape.length,l,u,g,m,f,d||0,I),w}var Ose={kernelName:ti,backendName:"wasm",setupFunc:Mse,kernelFunc:Pse};function Ut(e,t){let n;function a(s){n=s.wasm.cwrap(e,null,["number","number","number"])}function r(s){let{backend:i,inputs:{x:o}}=s,l=i.dataIdMap.get(o.dataId).id,u=i.makeOutput(o.shape,t||o.dtype),p=i.dataIdMap.get(u.dataId).id;return v.sizeFromShape(u.shape)===0||n(l,_t[o.dtype],p),u}return{kernelName:e,backendName:"wasm",setupFunc:a,kernelFunc:r}}var Lse=Ut(Sl);function cn(e,t,n){let a;function r(i){a=i.wasm.cwrap(e,null,["number","array","number","number","array","number","number","number"])}function s(i){let{backend:o,inputs:l}=i,{a:u,b:p}=l,d=o.dataIdMap.get(u.dataId).id,c=o.dataIdMap.get(p.dataId).id,h=n!=null?n:u.dtype,m=N.assertAndGetBroadcastShape(u.shape,p.shape),f=o.makeOutput(m,h);if(v.sizeFromShape(m)===0)return f;let g=
2022-10-18 13:23:49 +02:00
${a.shape}`);if(r.shape.length!==1)throw new Error(`Input shape should be a vector but received shape
2022-12-01 20:56:40 +01:00
${r.shape}`);if(s.shape.length!==1)throw new Error(`Target shape should be a vector but received shape ${s.shape}`);let i=t.dataIdMap.get(a.dataId).id,o=t.dataIdMap.get(r.dataId).id,l=t.dataIdMap.get(s.dataId).id,u=a.shape[0],p=v.sizeFromShape(s.shape),d=t.makeOutput([u,p],a.dtype),c=t.dataIdMap.get(d.dataId).id,h=t.makeOutput([p],s.dtype),m=t.dataIdMap.get(h.dataId).id,f=t.makeOutput([3],"int32"),g=t.dataIdMap.get(f.dataId).id;fA(i,o,l,u,c,m,g);let y=t.readSync(f.dataId),b;switch(y[0]){case 0:{b=N.getSparseReshapeMultipleNegativeOneOutputDimErrorMessage(y[1],y[2]);break}case 1:{b=N.getSparseReshapeNegativeOutputDimErrorMessage(y[1],y[2]);break}case 2:b=N.getSparseReshapeEmptyTensorZeroOutputDimErrorMessage();break;case 3:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));b=N.getSparseReshapeInputOutputMultipleErrorMessage(x,w);break}case 4:{let x=Array.from(t.readSync(r.dataId)),w=Array.from(t.readSync(h.dataId));b=N.getSparseReshapeInputOutputMismatchErrorMessage(x,w);break}default:b=""}if(t.disposeData(f.dataId),b)throw t.disposeData(d.dataId),t.disposeData(h.dataId),new Error(b);return[d,h]}var kue={kernelName:xu,backendName:"wasm",setupFunc:vue,kernelFunc:wue},gA;function yA(e){gA=e.wasm.cwrap("SparseSegmentReduction",null,["number","number","number","number","number","number","number","number","number"])}function bA(e,t){let{backend:n,inputs:a}=e,{data:r,indices:s,segmentIds:i}=a,o=s.shape[0],l=n.readSync(i.dataId,o-1,o)[0],u=o>0?l+1:0;if(u<0)throw new Error(N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage());let p=r.shape.slice();p[0]=u;let d=n.dataIdMap.get(r.dataId).id,c=n.dataIdMap.get(s.dataId).id,h=n.dataIdMap.get(i.dataId).id,m=n.makeOutput(p,r.dtype),f=n.dataIdMap.get(m.dataId).id,g=n.makeOutput([4],"int32"),y=n.dataIdMap.get(g.dataId).id;gA(d,_t[r.dtype],r.shape[0],c,h,f,y,t,0);let b=n.readSync(g.dataId),x;switch(b[0]){case 0:{x=N.getSparseSegmentReductionNegativeSegmentIdsErrorMessage();break}case 1:{x=N.getSparseSegmentReductionNonIncreasingSegmentIdsErrorMessage();break}case 2:x=N.getSparseSegmentReductionSegmentIdOutOfRangeErrorMessage(b[1],b[2]);break;case 3:x=N.getSparseSegmentReductionIndicesOutOfRangeErrorMessage(b[1],b[2],b[3]);break;default:x=""}if(n.disposeData(g.dataId),x)throw n.disposeData(m.dataId),new Error(x);return m}function Iue(e){return bA(e,!0)}var Sue={kernelName:gc,backendName:"wasm",setupFunc:yA,kernelFunc:Iue};function Tue(e){return bA(e,!1)}var Nue={kernelName:yc,backendName:"wasm",setupFunc:yA,kernelFunc:Tue};function Cue(e){let{inputs:t,attrs:n,backend:a}=e,{x:r}=t,{numOrSizeSplits:s,axis:i}=n,o=v.parseAxisParam(i,r.shape)[0],l=N.prepareSplitSize(r,s,o),u=new Array(r.shape.length).fill(0),p=r.shape.slice();return l.map(d=>{let c=[...p];c[o]=d;let h=gi({inputs:{x:r},attrs:{begin:u,size:c},backend:a});return u[o]+=d,h})}var Eue={kernelName:bu,backendName:"wasm",kernelFunc:Cue},_ue=Ut(po),Aue=Ut(bc),$ue=!0,Fue=cn(mo,$ue),xA;function Due(e){xA=e.wasm.cwrap(bs,null,["number","number","number","number"])}function Rue(e){let{backend:t,inputs:n,attrs:a}=e,{alpha:r}=a,{x:s}=n,i=t.dataIdMap.get(s.dataId).id,o=t.makeOutput(s.shape,s.dtype),l=t.dataIdMap.get(o.dataId).id;return xA(i,r,_t[s.dtype],l),o}var Mue={kernelName:bs,backendName:"wasm",setupFunc:Due,kernelFunc:Rue},vA;function Pue(e){vA=e.wasm.cwrap(vu,null,["number","array","number","array","array","array","array","array","number","number"])}function Oue(e){let{backend:t,inputs:n,attrs:a}=e,{x:r}=n,{begin:s,end:i,strides:o,beginMask:l,endMask:u,ellipsisMask:p,newAxisMask:d,shrinkAxisMask:c}=a,{finalShapeSparse:h,finalShape:m,isIdentity:f,sliceDim0:g,isSimpleSlice:y,begin:b,end:x,strides:w}=Kt.sliceInfo(r.shape,s,i,o,l,u,p,d,c),I;if(f)I=Wn({inputs:{x:r},backend:t,attrs:{shape:m}});else if(g||y){v.assert(r.shape.length>=1,()=>`Input must have rank at least 1, got: ${r.shape.length}`);let T=Kt.computeOutShape(b,x,w),C=gi({inputs:{x:r},backend:t,attrs:{begin:b,size:T}});I=Wn({inputs:{x:C},backend:t,attrs:{shape:m}}),t.disposeData(C.dataId)}else{let T=t.makeOutput(h,"float32"),C=t.dataIdMap.get(
//# sourceMappingURL=face-api.esm.js.map