mirror of https://github.com/vladmandic/human
4007 lines
1.1 MiB
4007 lines
1.1 MiB
var Np=Object.defineProperty;var ge=(n,t)=>()=>(t||(t={exports:{}},n(t.exports,t)),t.exports),xI=n=>Np(n,"__esModule",{value:!0}),xp=(n,t)=>{xI(n);for(var e in t)Np(n,e,{get:t[e],enumerable:!0})};var Cp=ge(()=>{});var Rp=ge(()=>{});var ps=ge(()=>{});var Gi=ge(I=>{"use strict";Object.defineProperty(I,"__esModule",{value:!0});var Zo=function(n,t){return Zo=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,i){e.__proto__=i}||function(e,i){for(var r in i)i.hasOwnProperty(r)&&(e[r]=i[r])},Zo(n,t)};function Pn(n,t){Zo(n,t);function e(){this.constructor=n}n.prototype=t===null?Object.create(t):(e.prototype=t.prototype,new e)}function de(n,t,e,i){return new(e||(e=Promise))(function(r,a){function s(u){try{l(i.next(u))}catch(c){a(c)}}function o(u){try{l(i.throw(u))}catch(c){a(c)}}function l(u){u.done?r(u.value):new e(function(c){c(u.value)}).then(s,o)}l((i=i.apply(n,t||[])).next())})}function pe(n,t){var e={label:0,sent:function(){if(a[0]&1)throw a[1];return a[1]},trys:[],ops:[]},i,r,a,s;return s={next:o(0),throw:o(1),return:o(2)},typeof Symbol=="function"&&(s[Symbol.iterator]=function(){return this}),s;function o(u){return function(c){return l([u,c])}}function l(u){if(i)throw new TypeError("Generator is already executing.");for(;e;)try{if(i=1,r&&(a=u[0]&2?r.return:u[0]?r.throw||((a=r.return)&&a.call(r),0):r.next)&&!(a=a.call(r,u[1])).done)return a;(r=0,a)&&(u=[u[0]&2,a.value]);switch(u[0]){case 0:case 1:a=u;break;case 4:return e.label++,{value:u[1],done:!1};case 5:e.label++,r=u[1],u=[0];continue;case 7:u=e.ops.pop(),e.trys.pop();continue;default:if(!(a=e.trys,a=a.length>0&&a[a.length-1])&&(u[0]===6||u[0]===2)){e=0;continue}if(u[0]===3&&(!a||u[1]>a[0]&&u[1]<a[3])){e.label=u[1];break}if(u[0]===6&&e.label<a[1]){e.label=a[1],a=u;break}if(a&&e.label<a[2]){e.label=a[2],e.ops.push(u);break}a[2]&&e.ops.pop(),e.trys.pop();continue}u=t.call(n,e)}catch(c){u=[6,c],r=0}finally{i=a=0}if(u[0]&5)throw u[1];return{value:u[0]?u[1]:void 0,done:!0}}}var CI=1e-7,RI=1e-4,OI=function(){function n(t,e){this.backend=t,this.dataMover=e,this.data=new WeakMap,this.dataIdsCount=0}return n.prototype.get=function(t){return this.data.has(t)||this.dataMover.moveData(this.backend,t),this.data.get(t)},n.prototype.set=function(t,e){this.dataIdsCount++,this.data.set(t,e)},n.prototype.has=function(t){return this.data.has(t)},n.prototype.delete=function(t){return this.dataIdsCount--,this.data.delete(t)},n.prototype.numDataIds=function(){return this.dataIdsCount},n}(),Op=function(){function n(){}return n.prototype.time=function(t){return $("time")},n.prototype.read=function(t){return $("read")},n.prototype.readSync=function(t){return $("readSync")},n.prototype.numDataIds=function(){return $("numDataIds")},n.prototype.disposeData=function(t){return $("disposeData")},n.prototype.write=function(t,e,i){return $("write")},n.prototype.move=function(t,e,i,r){return $("move")},n.prototype.memory=function(){return $("memory")},n.prototype.floatPrecision=function(){return $("floatPrecision")},n.prototype.epsilon=function(){return this.floatPrecision()===32?CI:RI},n.prototype.batchMatMul=function(t,e,i,r){return $("batchMatMul")},n.prototype.fusedBatchMatMul=function(t){var e=t.a,i=t.b,r=t.transposeA,a=t.transposeB,s=t.bias,o=t.activation,l=t.preluActivationWeights;return $("fusedBatchMatMul")},n.prototype.slice=function(t,e,i){return $("slice")},n.prototype.stridedSlice=function(t,e,i,r){return $("stridedSlice")},n.prototype.unstack=function(t,e){return $("unstack")},n.prototype.reverse=function(t,e){return $("reverse")},n.prototype.concat=function(t,e){return $("concat")},n.prototype.neg=function(t){return $("neg")},n.prototype.add=function(t,e){return $("add")},n.prototype.addN=function(t){return $("addN")},n.prototype.subtract=function(t,e){return $("subtract")},n.prototype.multiply=function(t,e){return $("multiply")},n.prototype.realDivide=function(t,e){return $("realDivide")},n.prototype.floorDiv=function(t,e){return $("floorDiv")},n.prototype.sum=function(t,e){return $("sum")},n.prototype.prod=function(t,e){return $("prod")},n.prototype.unsortedSegmentSum=function(t,e,i){return $("unsortedSegmentSum")},n.prototype.argMin=function(t,e){return $("argMin")},n.prototype.argMax=function(t,e){return $("argMax")},n.prototype.equal=function(t,e){return $("equal")},n.prototype.notEqual=function(t,e){return $("notEqual")},n.prototype.less=function(t,e){return $("less")},n.prototype.lessEqual=function(t,e){return $("lessEqual")},n.prototype.greater=function(t,e){return $("greater")},n.prototype.greaterEqual=function(t,e){return $("greaterEqual")},n.prototype.logicalNot=function(t){return $("logicalNot")},n.prototype.logicalAnd=function(t,e){return $("logicalAnd")},n.prototype.logicalOr=function(t,e){return $("logicalOr")},n.prototype.where=function(t){return $("where")},n.prototype.select=function(t,e,i){return $("select")},n.prototype.topk=function(t,e,i){return $("topk")},n.prototype.min=function(t,e){return $("min")},n.prototype.minimum=function(t,e){return $("minimum")},n.prototype.mod=function(t,e){return $("mod")},n.prototype.max=function(t,e){return $("max")},n.prototype.maximum=function(t,e){return $("maximum")},n.prototype.all=function(t,e){return $("all")},n.prototype.any=function(t,e){return $("any")},n.prototype.squaredDifference=function(t,e){return $("squaredDifference")},n.prototype.ceil=function(t){return $("ceil")},n.prototype.floor=function(t){return $("floor")},n.prototype.round=function(t){return $("round")},n.prototype.sign=function(t){return $("sign")},n.prototype.isNaN=function(t){return $("isNaN")},n.prototype.isInf=function(t){return $("isInf")},n.prototype.isFinite=function(t){return $("isFinite")},n.prototype.pow=function(t,e){return $("pow")},n.prototype.exp=function(t){return $("exp")},n.prototype.expm1=function(t){return $("expm1")},n.prototype.softmax=function(t,e){return $("softmax")},n.prototype.log=function(t){return $("log")},n.prototype.log1p=function(t){return $("log1p")},n.prototype.sqrt=function(t){return $("sqrt")},n.prototype.rsqrt=function(t){return $("rsqrt")},n.prototype.square=function(t){return $("square")},n.prototype.reciprocal=function(t){return $("reciprocal")},n.prototype.relu=function(t){return $("relu")},n.prototype.relu6=function(t){return $("relu6")},n.prototype.prelu=function(t,e){return $("prelu")},n.prototype.elu=function(t){return $("elu")},n.prototype.eluDer=function(t,e){return $("eluDer")},n.prototype.selu=function(t){return $("selu")},n.prototype.int=function(t){return $("int")},n.prototype.clip=function(t,e,i){return $("clip")},n.prototype.abs=function(t){return $("abs")},n.prototype.complexAbs=function(t){return $("complexAbs")},n.prototype.sigmoid=function(t){return $("sigmoid")},n.prototype.softplus=function(t){return $("softplus")},n.prototype.sin=function(t){return $("sin")},n.prototype.cos=function(t){return $("cos")},n.prototype.tan=function(t){return $("tan")},n.prototype.asin=function(t){return $("asin")},n.prototype.acos=function(t){return $("acos")},n.prototype.atan=function(t){return $("atan")},n.prototype.atan2=function(t,e){return $("atan2")},n.prototype.sinh=function(t){return $("sinh")},n.prototype.cosh=function(t){return $("cosh")},n.prototype.tanh=function(t){return $("tanh")},n.prototype.asinh=function(t){return $("asinh")},n.prototype.acosh=function(t){return $("acosh")},n.prototype.atanh=function(t){return $("atanh")},n.prototype.erf=function(t){return $("erf")},n.prototype.step=function(t,e){return $("step")},n.prototype.fusedConv2d=function(t){var e=t.input,i=t.filter,r=t.convInfo,a=t.bias,s=t.activation,o=t.preluActivationWeights;return $("fusedConv2d")},n.prototype.conv2d=function(t,e,i){return $("conv2d")},n.prototype.conv2dDerInput=function(t,e,i){return $("conv2dDerInput")},n.prototype.conv2dDerFilter=function(t,e,i){return $("conv2dDerFilter")},n.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,i=t.filter,r=t.convInfo,a=t.bias,s=t.activation,o=t.preluActivationWeights;return $("fusedDepthwiseConv2D")},n.prototype.depthwiseConv2D=function(t,e,i){return $("depthwiseConv2D")},n.prototype.depthwiseConv2DDerInput=function(t,e,i){return $("depthwiseConv2DDerInput")},n.prototype.depthwiseConv2DDerFilter=function(t,e,i){return $("depthwiseConv2DDerFilter")},n.prototype.conv3d=function(t,e,i){return $("conv3d")},n.prototype.conv3dDerInput=function(t,e,i){return $("conv3dDerInput")},n.prototype.conv3dDerFilter=function(t,e,i){return $("conv3dDerFilter")},n.prototype.maxPool=function(t,e){return $("maxPool")},n.prototype.maxPoolBackprop=function(t,e,i,r){return $("maxPoolBackprop")},n.prototype.avgPool=function(t,e){return $("avgPool")},n.prototype.avgPoolBackprop=function(t,e,i){return $("avgPoolBackprop")},n.prototype.avgPool3d=function(t,e){return $("avgPool3d")},n.prototype.avgPool3dBackprop=function(t,e,i){return $("avgPool3dBackprop")},n.prototype.maxPool3d=function(t,e){return $("maxPool3d")},n.prototype.maxPool3dBackprop=function(t,e,i,r){return $("maxPool3dBackprop")},n.prototype.reshape=function(t,e){return $("reshape")},n.prototype.cast=function(t,e){return $("cast")},n.prototype.tile=function(t,e){return $("tile")},n.prototype.pad=function(t,e,i){return $("pad")},n.prototype.transpose=function(t,e){return $("transpose")},n.prototype.gather=function(t,e,i){return $("gather")},n.prototype.gatherND=function(t,e){return $("gatherND")},n.prototype.scatterND=function(t,e,i){return $("scatterND")},n.prototype.batchToSpaceND=function(t,e,i){return $("batchToSpaceND")},n.prototype.spaceToBatchND=function(t,e,i){return $("spaceToBatchND")},n.prototype.resizeBilinear=function(t,e,i,r){return $("resizeBilinear")},n.prototype.resizeBilinearBackprop=function(t,e,i){return $("resizeBilinearBackprop")},n.prototype.resizeNearestNeighbor=function(t,e,i,r){return $("resizeNearestNeighbor")},n.prototype.resizeNearestNeighborBackprop=function(t,e,i){return $("resizeNearestNeighborBackprop")},n.prototype.batchNorm=function(t,e,i,r,a,s){return $("batchNorm")},n.prototype.localResponseNormalization4D=function(t,e,i,r,a){return $("localResponseNormalization4D")},n.prototype.LRNGrad=function(t,e,i,r,a,s,o){return $("LRNGrad")},n.prototype.multinomial=function(t,e,i,r){return $("multinomial")},n.prototype.oneHot=function(t,e,i,r){return $("oneHot")},n.prototype.cumsum=function(t,e,i,r){return $("cumsum")},n.prototype.nonMaxSuppression=function(t,e,i,r,a){return $("nonMaxSuppression")},n.prototype.fft=function(t){return $("fft")},n.prototype.ifft=function(t){return $("ifft")},n.prototype.complex=function(t,e){return $("complex")},n.prototype.real=function(t){return $("real")},n.prototype.imag=function(t){return $("imag")},n.prototype.cropAndResize=function(t,e,i,r,a,s){return $("cropAndResize")},n.prototype.depthToSpace=function(t,e,i){return $("depthToSpace")},n.prototype.split=function(t,e,i){return $("split")},n.prototype.sparseToDense=function(t,e,i,r){return $("sparseToDense")},n.prototype.diag=function(t){return $("diag")},n.prototype.fill=function(t,e,i){return $("fill")},n.prototype.onesLike=function(t){return $("onesLike")},n.prototype.zerosLike=function(t){return $("zerosLike")},n.prototype.linspace=function(t,e,i){return $("linspace")},n.prototype.dispose=function(){return $("dispose")},n}();function $(n){throw new Error("'"+n+"' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen")}var Ep="tfjsflags",Dp=function(){function n(t){this.global=t,this.flags={},this.flagRegistry={},this.urlFlags={},this.populateURLFlags()}return n.prototype.setPlatform=function(t,e){this.platform!=null&&console.warn("Platform "+this.platformName+" has already been set. "+("Overwriting the platform with "+e+".")),this.platformName=t,this.platform=e},n.prototype.registerFlag=function(t,e,i){if(this.flagRegistry[t]={evaluationFn:e,setHook:i},this.urlFlags[t]!=null){var r=this.urlFlags[t];console.warn("Setting feature override from URL "+t+": "+r+"."),this.set(t,r)}},n.prototype.getAsync=function(t){return de(this,void 0,void 0,function(){var e,i;return pe(this,function(r){switch(r.label){case 0:return t in this.flags?[2,this.flags[t]]:(e=this.flags,i=t,[4,this.evaluateFlag(t)]);case 1:return e[i]=r.sent(),[2,this.flags[t]]}})})},n.prototype.get=function(t){if(t in this.flags)return this.flags[t];var e=this.evaluateFlag(t);if(e instanceof Promise)throw new Error("Flag "+t+" cannot be synchronously evaluated. Please use getAsync() instead.");return this.flags[t]=e,this.flags[t]},n.prototype.getNumber=function(t){return this.get(t)},n.prototype.getBool=function(t){return this.get(t)},n.prototype.getFlags=function(){return this.flags},Object.defineProperty(n.prototype,"features",{get:function(){return this.flags},enumerable:!0,configurable:!0}),n.prototype.set=function(t,e){if(this.flagRegistry[t]==null)throw new Error("Cannot set flag "+t+" as it has not been registered.");this.flags[t]=e,this.flagRegistry[t].setHook!=null&&this.flagRegistry[t].setHook(e)},n.prototype.evaluateFlag=function(t){if(this.flagRegistry[t]==null)throw new Error("Cannot evaluate flag '"+t+"': no evaluation function found.");return this.flagRegistry[t].evaluationFn()},n.prototype.setFlags=function(t){this.flags=Object.assign({},t)},n.prototype.reset=function(){this.flags={},this.urlFlags={},this.populateURLFlags()},n.prototype.populateURLFlags=function(){var t=this;if(typeof this.global=="undefined"||typeof this.global.location=="undefined"||typeof this.global.location.search=="undefined")return;var e=EI(this.global.location.search);if(Ep in e){var i=e[Ep].split(",");i.forEach(function(r){var a=r.split(":"),s=a[0],o=a[1];t.urlFlags[s]=DI(s,o)})}},n}();function EI(n){var t={};return n.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g,function(e){for(var i=[],r=1;r<arguments.length;r++)i[r-1]=arguments[r];return kI(t,i[0],i[1]),i.join("=")}),t}function kI(n,t,e){n[decodeURIComponent(t)]=decodeURIComponent(e||"")}function DI(n,t){if(t=t.toLowerCase(),t==="true"||t==="false")return t==="true";if(""+ +t===t)return+t;throw new Error("Could not parse value flag value "+t+" for flag "+n+".")}function He(){return I.ENV}I.ENV=null;function FI(n){I.ENV=n}var Qo;function kp(){if(Qo==null){var n=void 0;if(typeof window!="undefined")n=window;else if(typeof global!="undefined")n=global;else if(typeof process!="undefined")n=process;else if(typeof self!="undefined")n=self;else throw new Error("Could not find a global object");Qo=n}return Qo}function WI(){var n=kp();return n._tfGlobals==null&&(n._tfGlobals=new Map),n._tfGlobals}function Fp(n,t){var e=WI();if(e.has(n))return e.get(n);var i=t();return e.set(n,i),e.get(n)}var el="Abs",tl="Acos",nl="Acosh",fs="Add",il="AddN",Wp="All",Up="Any",rl="ArgMax",al="ArgMin",sl="Asin",ol="Asinh",ll="Atan",ul="Atanh",cl="Atan2",hl="AvgPool",Bp="AvgPoolBackprop",dl="AvgPool3D",zp="AvgPool3DBackprop",pl="BatchMatMul",fl="BatchToSpaceND",ml="BroadcastTo",ms="Cast",gl="Ceil",vl="ClipByValue",Pp="Complex",yl="Concat",bl="Conv2D",_p="Conv2DBackpropFilter",wl="Conv2DBackpropInput",Sl="Conv3D",Mp="Conv3DBackpropFilterV2",Hp="Conv3DBackpropInputV2",Ll="Cos",Il="Cosh",Al="Cumsum",Vp="CropAndResize",qp="DepthToSpace",Tl="DepthwiseConv2dNative",Gp="DepthwiseConv2dNativeBackpropFilter",Yp="DepthwiseConv2dNativeBackpropInput",Kp="Diag",Nl="Dilation2D",jp="Dilation2DBackpropInput",$p="Dilation2DBackpropFilter",xl="Div",Cl="Elu",Xp="EluGrad",Rl="Erf",Jp="Equal",Ol="Exp",El="Expm1",Zp="FFT",Qp="Fill",ef="FlipLeftRight",Dl="Floor",kl="FloorDiv",Fl="FusedBatchNorm",Wl="GatherV2",tf="GatherNd",nf="Greater",Ul="GreaterEqual",Bl="Identity",rf="IFFT",af="Imag",zl="IsFinite",Pl="IsInf",_l="IsNan",sf="Less",of="LessEqual",lf="LinSpace",Ml="Log",Hl="Log1p",uf="LogicalAnd",cf="LogicalNot",hf="LogicalOr",Vl="LogSoftmax",ql="LRN",df="LRNBackprop",Gl="Max",Yl="Maximum",Kl="MaxPool",pf="MaxPoolBackprop",jl="MaxPool3D",ff="MaxPool3DBackprop",mf="MaxPoolWithArgmax",UI="Mean",$l="Min",Xl="Minimum",Jl="Mod",Zl="Multiply",Ql="Negate",gf="NotEqual",vf="NonMaxSuppressionV3",yf="NonMaxSuppressionV4",bf="NonMaxSuppressionV5",eu="OnesLike",tu="OneHot",nu="PadV2",BI="Pool",iu="Pow",ru="Prelu",wf="Prod",Sf="Range",Lf="Real",au="Reciprocal",su="Relu",ou="Reshape",lu="ResizeNearestNeighbor",If="ResizeNearestNeighborGrad",uu="ResizeBilinear",Af="ResizeBilinearGrad",cu="Relu6",hu="Reverse",du="Round",pu="Rsqrt",Tf="ScatterNd",fu="SelectV2",mu="Selu",gu="Slice",vu="Sin",yu="Sinh",bu="Sign",wu="Sigmoid",Su="Softplus",Lu="Sqrt",Iu="Sum",Au="SpaceToBatchND",Tu="SplitV",Nu="Softmax",xu="SquaredDifference",Nf="Square",Cu="Sub",xf="SparseToDense",Cf="StridedSlice",Ru="Tan",Ou="Tanh",Eu="Tile",Rf="TopK",Du="Transpose",Of="Unique",ku="Unpack",Fu="UnsortedSegmentSum",Wu="ZerosLike",Uu="Step",Bu="FromPixels",Ef="RotateWithOffset",zu="_FusedMatMul",Pu="FusedConv2D",_u="FusedDepthwiseConv2D";var mr=Fp("kernelRegistry",function(){return new Map}),da=Fp("gradRegistry",function(){return new Map});function Hu(n,t){var e=Mu(n,t);return mr.get(e)}function Vu(n){return da.get(n)}function gs(n){for(var t=mr.entries(),e=[];;){var i=t.next(),r=i.done,a=i.value;if(r)break;var s=a[0],o=a[1],l=s.split("_")[0];l===n&&e.push(o)}return e}function Df(n){var t=n.kernelName,e=n.backendName,i=Mu(t,e);mr.has(i)&&console.warn("The kernel '"+t+"' for backend "+("'"+e+"' is already registered")),mr.set(i,n)}function kf(n){var t=n.kernelName;da.has(t)&&(He().getBool("DEBUG")&&console.warn("Overriding the gradient for '"+t+"'")),da.set(t,n)}function zI(n,t){var e=Mu(n,t);if(!mr.has(e))throw new Error("The kernel '"+n+"' for backend "+("'"+t+"' is not registered"));mr.delete(e)}function PI(n){if(!da.has(n))throw new Error("The gradient '"+n+"' for backend is not registered");da.delete(n)}function _I(n,t){var e=gs(n);e.forEach(function(i){var r=Object.assign({},i,{backendName:t});Df(r)})}function Mu(n,t){return t+"_"+n}function Ff(n){for(var t=n.length,e=0,i=0;t>0;)i=Math.random()*t|0,t--,e=n[t],n[t]=n[i],n[i]=e}function pa(n,t,e){return Math.max(n,Math.min(t,e))}function MI(n){return n%2===0?n:n+1}function HI(n){for(var t=0,e=0;e<n.length;e++)t+=n[e];return t}function VI(n,t){var e=Math.random();return t*e+(1-e)*n}function qI(n,t){for(var e=0,i=0;i<n.length;i++){var r=Number(n[i])-Number(t[i]);e+=r*r}return e}function E(n,t){if(!n)throw new Error(typeof t=="string"?t:t())}function Be(n,t,e){e===void 0&&(e=""),E(rn(n,t),function(){return e+(" Shapes "+n+" and "+t+" must match")})}function Ri(n){E(n!=null,function(){return"The input to the tensor constructor must be a non-null value."})}function Oi(n,t,e){if(t===void 0&&(t=[]),e===void 0&&(e=!1),t==null&&(t=[]),Array.isArray(n)||Rt(n)&&!e)for(var i=0;i<n.length;++i)Oi(n[i],t,e);else t.push(n);return t}function st(n){if(n.length===0)return 1;for(var t=n[0],e=1;e<n.length;e++)t*=n[e];return t}function GI(n){return n.length===0}function rn(n,t){if(n===t)return!0;if(n==null||t==null)return!1;if(n.length!==t.length)return!1;for(var e=0;e<n.length;e++)if(n[e]!==t[e])return!1;return!0}function it(n){return n%1===0}function YI(n){if(Math.tanh!=null)return Math.tanh(n);if(n===Infinity)return 1;if(n===-Infinity)return-1;var t=Math.exp(2*n);return(t-1)/(t+1)}function KI(n){var t=Math.ceil(Math.sqrt(n));return[t,Math.ceil(n/t)]}function jI(n){for(var t=new Uint32Array(n),e=0;e<n;++e)t[e]=e;return Ff(t),t}function fa(n,t){return t<=n.length?n:n+" ".repeat(t-n.length)}function $I(n,t,e){return t===void 0&&(t=function(i){return 0}),new Promise(function(i,r){var a=0,s=function(){if(n()){i();return}a++;var o=t(a);if(e!=null&&a>=e){r();return}setTimeout(s,o)};s()})}function Wf(n,t){for(var e=1,i=-1,r=0;r<n.length;++r)if(n[r]>=0)e*=n[r];else if(n[r]===-1){if(i!==-1)throw Error("Shapes can only have 1 implicit size. "+("Found -1 at dim "+i+" and dim "+r));i=r}else if(n[r]<0)throw Error("Shapes can not be < 0. Found "+n[r]+" at dim "+r);if(i===-1){if(t>0&&t!==e)throw Error("Size("+t+") must match the product of shape "+n);return n}if(e===0)throw Error("Cannot infer the missing size in ["+n+"] when there are 0 elements");if(t%e!==0)throw Error("The implicit shape can't be a fractional number. "+("Got "+t+" / "+e));var a=n.slice();return a[i]=t/e,a}function Ze(n,t){var e=t.length;return n=n==null?t.map(function(i,r){return r}):[].concat(n),E(n.every(function(i){return i>=-e&&i<e}),function(){return"All values in axis param must be in range [-"+e+", "+e+") but "+("got axis "+n)}),E(n.every(function(i){return it(i)}),function(){return"All values in axis param must be integers but "+("got axis "+n)}),n.map(function(i){return i<0?e+i:i})}function Uf(n,t){for(var e=[],i=[],r=t!=null&&Array.isArray(t)&&t.length===0,a=t==null||r?null:Ze(t,n).sort(),s=0,o=0;o<n.length;++o){if(a!=null){if(a[s]===o&&n[o]!==1)throw new Error("Can't squeeze axis "+o+" since its dim '"+n[o]+"' is not 1");(a[s]==null||a[s]>o)&&n[o]===1&&(e.push(n[o]),i.push(o)),a[s]<=o&&s++}n[o]!==1&&(e.push(n[o]),i.push(o))}return{newShape:e,keptDims:i}}function vs(n,t){var e=null;if(n==null||n==="float32")e=new Float32Array(t);else if(n==="int32")e=new Int32Array(t);else if(n==="bool")e=new Uint8Array(t);else throw new Error("Unknown data type "+n);return e}function Bf(n,t){var e=null;if(n==null||n==="float32")e=new Float32Array(t);else if(n==="int32")e=new Int32Array(t);else if(n==="bool")e=new Uint8Array(t);else if(n==="string")e=new Array(t);else throw new Error("Unknown data type "+n);return e}function zf(n,t){for(var e=0;e<n.length;e++){var i=n[e];if(isNaN(i)||!isFinite(i))throw Error("A tensor of type "+t+" being uploaded contains "+i+".")}}function Pf(n){return n==="bool"||n==="complex64"||n==="float32"||n==="int32"||n==="string"}function _f(n,t){return t==="complex64"||(t==="float32"&&n!=="complex64"||t==="int32"&&n!=="float32"&&n!=="complex64")?!1:!(t==="bool"&&n==="bool")}function Rt(n){return n instanceof Float32Array||n instanceof Int32Array||n instanceof Uint8Array}function Mf(n){if(n==="float32"||n==="int32")return 4;if(n==="complex64")return 8;if(n==="bool")return 1;throw new Error("Unknown dtype "+n)}function Hf(n){if(n==null)return 0;var t=0;return n.forEach(function(e){return t+=e.length}),t}function Qn(n){return typeof n=="string"||n instanceof String}function Vf(n){return typeof n=="boolean"}function qf(n){return typeof n=="number"}function ys(n){return Array.isArray(n)?ys(n[0]):n instanceof Float32Array?"float32":n instanceof Int32Array||n instanceof Uint8Array?"int32":qf(n)?"float32":Qn(n)?"string":Vf(n)?"bool":"float32"}function ei(n){return!!(n&&n.constructor&&n.call&&n.apply)}function bs(n,t){for(var e=t;e<n;++e)if(n%e===0)return e;return n}function gr(n){var t=n.length;if(t<2)return[];var e=new Array(t-1);e[t-2]=n[t-1];for(var i=t-3;i>=0;--i)e[i]=e[i+1]*n[i+1];return e}function XI(n,t){return t==="string"?qu(n):ws([n],t)}function ws(n,t){if(t==="string")throw new Error("Cannot convert a string[] to a TypedArray");if(Array.isArray(n)&&(n=Oi(n)),He().getBool("DEBUG")&&zf(n,t),JI(n,t))return n;if(t==null||t==="float32"||t==="complex64")return new Float32Array(n);if(t==="int32")return new Int32Array(n);if(t==="bool"){for(var e=new Uint8Array(n.length),i=0;i<e.length;++i)Math.round(n[i])!==0&&(e[i]=1);return e}else throw new Error("Unknown data type "+t)}function Gf(n,t,e){var i=new Array;if(t.length===1)for(var r=t[0],a=0;a<r;a++)i[a]=e[n+a];else for(var r=t[0],s=t.slice(1),o=s.reduce(function(u,c){return u*c}),a=0;a<r;a++)i[a]=Gf(n+a*o,s,e);return i}function vr(n,t){if(n.length===0)return t[0];var e=n.reduce(function(i,r){return i*r});if(e===0)return[];if(e!==t.length)throw new Error("["+n+"] does not match the input size "+t.length+".");return Gf(0,n,t)}function JI(n,t){return n instanceof Float32Array&&t==="float32"||n instanceof Int32Array&&t==="int32"||n instanceof Uint8Array&&t==="bool"}function Gu(n,t){for(var e=yr(n,t),i=0;i<e.length;i++)e[i]=1;return e}function yr(n,t){if(t==null||t==="float32"||t==="complex64")return new Float32Array(n);if(t==="int32")return new Int32Array(n);if(t==="bool")return new Uint8Array(n);throw new Error("Unknown data type "+t)}function ZI(n,t){var e=n.reduce(function(i,r){return i*r},1);if(t==null||t==="float32")return vr(n,new Float32Array(e));if(t==="int32")return vr(n,new Int32Array(e));if(t==="bool")return vr(n,new Uint8Array(e));throw new Error("Unknown data type "+t)}function Yu(){return He().platform.now()}function Ku(n){n.forEach(function(t){E(Number.isInteger(t)&&t>=0,function(){return"Tensor must have a shape comprised of positive integers but got "+("shape ["+n+"].")})})}function QI(n,t){return He().platform.fetch(n,t)}function qu(n,t){return t===void 0&&(t="utf-8"),t=t||"utf-8",He().platform.encode(n,t)}function ju(n,t){return t===void 0&&(t="utf-8"),t=t||"utf-8",He().platform.decode(n,t)}function e2(n,t,e){if(t===0)return 0;if(t===1)return n[0];for(var i=n[n.length-1],r=0;r<n.length-1;++r)i+=e[r]*n[r];return i}function t2(n,t,e){if(t===0)return[];if(t===1)return[n];for(var i=new Array(t),r=0;r<i.length-1;++r)i[r]=Math.floor(n/e[r]),n-=i[r]*e[r];return i[i.length-1]=n,i}var n2={__proto__:null,shuffle:Ff,clamp:pa,nearestLargerEven:MI,sum:HI,randUniform:VI,distSquared:qI,assert:E,assertShapesMatch:Be,assertNonNull:Ri,flatten:Oi,sizeFromShape:st,isScalarShape:GI,arraysEqual:rn,isInt:it,tanh:YI,sizeToSquarishShape:KI,createShuffledIndices:jI,rightPad:fa,repeatedTry:$I,inferFromImplicitShape:Wf,parseAxisParam:Ze,squeezeShape:Uf,getTypedArrayFromDType:vs,getArrayFromDType:Bf,checkConversionForErrors:zf,isValidDtype:Pf,hasEncodingLoss:_f,isTypedArray:Rt,bytesPerElement:Mf,bytesFromStringArray:Hf,isString:Qn,isBoolean:Vf,isNumber:qf,inferDtype:ys,isFunction:ei,nearestDivisor:bs,computeStrides:gr,createScalarValue:XI,toTypedArray:ws,toNestedArray:vr,makeOnesTypedArray:Gu,makeZerosTypedArray:yr,makeZerosNestedTypedArray:ZI,now:Yu,assertNonNegativeIntegerDimensions:Ku,fetch:QI,encodeString:qu,decodeString:ju,locToIndex:e2,indexToLoc:t2};var a2=function(){function n(t,e){this.backendTimer=t,this.logger=e,e==null&&(this.logger=new r2)}return n.prototype.profileKernel=function(t,e,i){for(var r,a=function(){r=i()},s=this.backendTimer.time(a),o=function(c){var h=r[c];h.data().then(function(d){i2(d,h.dtype,t)})},l=0;l<r.length;l++)o(l);var u={kernelName:t,outputs:r,inputs:e,timeMs:s.then(function(c){return c.kernelMs}),extraInfo:s.then(function(c){return c.getExtraProfileInfo!=null?c.getExtraProfileInfo():""})};return u},n.prototype.logKernelProfile=function(t){var e=this,i=t.kernelName,r=t.outputs,a=t.timeMs,s=t.inputs,o=t.extraInfo;r.forEach(function(l){Promise.all([l.data(),a,o]).then(function(u){e.logger.logKernelProfile(i,l,u[0],u[1],s,u[2])})})},n}();function i2(n,t,e){if(t!=="float32")return!1;for(var i=0;i<n.length;i++){var r=n[i];if(isNaN(r)||!isFinite(r))return console.warn("Found "+r+" in the result of '"+e+"'"),!0}return!1}var r2=function(){function n(){}return n.prototype.logKernelProfile=function(t,e,i,r,a,s){var o=typeof r=="number"?fa(r+"ms",9):r.error,l=fa(t,25),u=e.rank,c=e.size,h=fa(e.shape.toString(),14),d="";for(var p in a){var f=a[p];if(f!=null){var m=f.shape||e.shape,g=m.length;d+=p+": "+g+"D "+(g>0?m:"")+" "}}console.log("%c"+l+" %c"+o+" %c"+u+"D "+h+" %c"+c+" %c"+d+" %c"+s,"font-weight:bold","color:red","color:blue","color: orange","color: green","color: steelblue")},n}();function s2(n,t,e){for(var i={},r={},a=0;a<t.length;a++)i[t[a].id]=!0;for(var a=0;a<n.length;a++){var s=n[a],o=s.inputs;for(var l in o){for(var u=o[l],c=!1,h=0;h<t.length;h++)if(i[u.id]){s.outputs.forEach(function(w){return i[w.id]=!0}),c=!0,r[s.id]=!0;break}if(c)break}}var d={};d[e.id]=!0;for(var p={},a=n.length-1;a>=0;a--)for(var s=n[a],o=s.inputs,h=0;h<s.outputs.length;h++)if(d[s.outputs[h].id]){for(var l in o)d[o[l].id]=!0,p[s.id]=!0;break}for(var f=[],a=0;a<n.length;a++){var s=n[a];if(r[s.id]&&p[s.id]){var m={};for(var l in s.inputs){var g=s.inputs[l];i[g.id]&&(m[l]=g)}var v=Object.assign({},s);v.inputs=m,v.outputs=s.outputs,f.push(v)}}return f}function o2(n,t,e,i){for(var r=function(s){var o=t[s],l=[];if(o.outputs.forEach(function(d){var p=n[d.id];p!=null?l.push(p):l.push(null)}),o.gradient==null)throw new Error("Cannot compute gradient: gradient function not found "+("for "+o.kernelName+"."));var u=o.gradient(l),c=function(d){if(!(d in u))throw new Error("Cannot backprop through input "+d+". "+("Available gradients found: "+Object.keys(u)+"."));var p=e(function(){return u[d]()});if(p.dtype!=="float32")throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input "+(d+" must have 'float32' dtype, but has '"+p.dtype+"'"));var f=o.inputs[d];if(!rn(p.shape,f.shape))throw new Error("Error in gradient for op "+o.kernelName+". The gradient of input "+("'"+d+"' has shape '"+p.shape+"', which does not match ")+("the shape of the input '"+f.shape+"'"));if(n[f.id]==null)n[f.id]=p;else{var m=n[f.id];n[f.id]=i(m,p),m.dispose()}};for(var h in o.inputs)c(h)},a=t.length-1;a>=0;a--)r(a)}var Yf=20,ma=3,$u=7;function u2(n,t,e,i){var r=gr(t),a=l2(n,t,e,r),s=t.length,o=Ss(n,t,e,r,a),l=["Tensor"];return i&&(l.push(" dtype: "+e),l.push(" rank: "+s),l.push(" shape: ["+t+"]"),l.push(" values:")),l.push(o.map(function(u){return" "+u}).join(`
|
|
`)),l.join(`
|
|
`)}function l2(n,t,e,i){var r=st(t),a=i[i.length-1],s=new Array(a).fill(0),o=t.length,l=e==="complex64"?va(n):n;if(o>1)for(var u=0;u<r/a;u++)for(var c=u*a,h=0;h<a;h++)s[h]=Math.max(s[h],ga(l[c+h],0,e).length);return s}function ga(n,t,e){var i;return Array.isArray(n)?i=parseFloat(n[0].toFixed($u))+" + "+(parseFloat(n[1].toFixed($u))+"j"):Qn(n)?i="'"+n+"'":e==="bool"?i=Kf(n):i=parseFloat(n.toFixed($u)).toString(),fa(i,t)}function Kf(n){return n===0?"false":"true"}function Ss(n,t,e,i,r,a){a===void 0&&(a=!0);var s=e==="complex64"?2:1,o=t[0],l=t.length;if(l===0){if(e==="complex64"){var u=va(n);return[ga(u[0],0,e)]}return e==="bool"?[Kf(n[0])]:[n[0].toString()]}if(l===1){if(o>Yf){var c=ma*s,h=Array.from(n.slice(0,c)),d=Array.from(n.slice((o-ma)*s,o*s));return e==="complex64"&&(h=va(h),d=va(d)),["["+h.map(function(C,R){return ga(C,r[R],e)}).join(", ")+", ..., "+d.map(function(C,R){return ga(C,r[o-ma+R],e)}).join(", ")+"]"]}var p=e==="complex64"?va(n):Array.from(n);return["["+p.map(function(C,R){return ga(C,r[R],e)}).join(", ")+"]"]}var f=t.slice(1),m=i.slice(1),g=i[0]*s,v=[];if(o>Yf){for(var b=0;b<ma;b++){var w=b*g,S=w+g;v.push.apply(v,Ss(n.slice(w,S),f,e,m,r,!1))}v.push("...");for(var b=o-ma;b<o;b++){var w=b*g,S=w+g;v.push.apply(v,Ss(n.slice(w,S),f,e,m,r,b===o-1))}}else for(var b=0;b<o;b++){var w=b*g,S=w+g;v.push.apply(v,Ss(n.slice(w,S),f,e,m,r,b===o-1))}var L=l===2?",":"";v[0]="["+v[0]+L;for(var b=1;b<v.length-1;b++)v[b]=" "+v[b]+L;for(var x=`,
|
|
`,b=2;b<l;b++)x+=`
|
|
`;return v[v.length-1]=" "+v[v.length-1]+"]"+(a?"":x),v}function va(n){for(var t=[],e=0;e<n.length;e+=2)t.push([n[e],n[e+1]]);return t}var Ls=function(){function n(t,e,i){var r=this;if(this.dtype=e,this.shape=t.slice(),this.size=st(t),i!=null){var a=i.length;E(a===this.size,function(){return"Length of values '"+a+"' does not match the size "+("inferred by the shape '"+r.size+"'.")})}if(e==="complex64")throw new Error("complex64 dtype TensorBuffers are not supported. Please create a TensorBuffer for the real and imaginary parts separately and call tf.complex(real, imag).");this.values=i||Bf(e,this.size),this.strides=gr(t)}return n.prototype.set=function(t){for(var e=this,i=[],r=1;r<arguments.length;r++)i[r-1]=arguments[r];i.length===0&&(i=[0]),E(i.length===this.rank,function(){return"The number of provided coordinates ("+i.length+") must "+("match the rank ("+e.rank+")")});var a=this.locToIndex(i);this.values[a]=t},n.prototype.get=function(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e];t.length===0&&(t=[0]);for(var i=0,r=0,a=t;r<a.length;r++){var s=a[r];if(s<0||s>=this.shape[i]){var o="Requested out of range element at "+t+". "+(" Buffer shape="+this.shape);throw new Error(o)}i++}for(var l=t[t.length-1],u=0;u<t.length-1;++u)l+=this.strides[u]*t[u];return this.values[l]},n.prototype.locToIndex=function(t){if(this.rank===0)return 0;if(this.rank===1)return t[0];for(var e=t[t.length-1],i=0;i<t.length-1;++i)e+=this.strides[i]*t[i];return e},n.prototype.indexToLoc=function(t){if(this.rank===0)return[];if(this.rank===1)return[t];for(var e=new Array(this.shape.length),i=0;i<e.length-1;++i)e[i]=Math.floor(t/this.strides[i]),t-=e[i]*this.strides[i];return e[e.length-1]=t,e},Object.defineProperty(n.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),n.prototype.toTensor=function(){return In().makeTensor(this.values,this.shape,this.dtype)},n}(),In=null,br=null;function c2(n){In=n}function h2(n){br=n}var Y=function(){function n(t,e,i,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=e||"float32",this.size=st(t),this.strides=gr(t),this.dataId=i,this.id=r,this.rankType=this.rank<5?this.rank.toString():"higher"}return Object.defineProperty(n.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),n.prototype.buffer=function(){return de(this,void 0,void 0,function(){var t;return pe(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,br.buffer(this.shape,this.dtype,t)]}})})},n.prototype.bufferSync=function(){return br.buffer(this.shape,this.dtype,this.dataSync())},n.prototype.array=function(){return de(this,void 0,void 0,function(){var t;return pe(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,vr(this.shape,t)]}})})},n.prototype.arraySync=function(){return vr(this.shape,this.dataSync())},n.prototype.data=function(){return de(this,void 0,void 0,function(){var t,e;return pe(this,function(i){switch(i.label){case 0:return this.throwIfDisposed(),t=In().read(this.dataId),this.dtype==="string"?[4,t]:[3,2];case 1:e=i.sent();try{return[2,e.map(function(r){return ju(r)})]}catch(r){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}i.label=2;case 2:return[2,t]}})})},n.prototype.dataSync=function(){this.throwIfDisposed();var t=In().readSync(this.dataId);if(this.dtype==="string")try{return t.map(function(e){return ju(e)})}catch(e){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t},n.prototype.bytes=function(){return de(this,void 0,void 0,function(){var t;return pe(this,function(e){switch(e.label){case 0:return this.throwIfDisposed(),[4,In().read(this.dataId)];case 1:return t=e.sent(),this.dtype==="string"?[2,t]:[2,new Uint8Array(t.buffer)]}})})},n.prototype.dispose=function(){if(this.isDisposed)return;In().disposeTensor(this),this.isDisposedInternal=!0},Object.defineProperty(n.prototype,"isDisposed",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),n.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error("Tensor is disposed.")},n.prototype.print=function(t){return t===void 0&&(t=!1),br.print(this,t)},n.prototype.clone=function(){return this.throwIfDisposed(),br.clone(this)},n.prototype.toString=function(t){t===void 0&&(t=!1);var e=this.dataSync();return u2(e,this.shape,this.dtype,t)},n.prototype.cast=function(t){return this.throwIfDisposed(),br.cast(this,t)},n.prototype.variable=function(t,e,i){return t===void 0&&(t=!0),this.throwIfDisposed(),In().makeVariable(this,t,e,i)},n}();Object.defineProperty(Y,Symbol.hasInstance,{value:function(n){return!!n&&n.data!=null&&n.dataSync!=null&&n.throwIfDisposed!=null}});var ya=function(n){Pn(t,n);function t(e,i,r,a){var s=n.call(this,e.shape,e.dtype,e.dataId,a)||this;return s.trainable=i,s.name=r,s}return t.prototype.assign=function(e){if(e.dtype!==this.dtype)throw new Error("dtype of the new value ("+e.dtype+") and "+("previous value ("+this.dtype+") must match"));if(!rn(e.shape,this.shape))throw new Error("shape of the new value ("+e.shape+") and "+("previous value ("+this.shape+") must match"));In().disposeTensor(this),this.dataId=e.dataId,In().incRef(this,null)},t.prototype.dispose=function(){In().disposeVariable(this),this.isDisposedInternal=!0},t}(Y);Object.defineProperty(ya,Symbol.hasInstance,{value:function(n){return n instanceof Y&&n.assign!=null&&n.assign instanceof Function}});(function(n){n.R0="R0",n.R1="R1",n.R2="R2",n.R3="R3",n.R4="R4",n.R5="R5",n.R6="R6"})(I.Rank||(I.Rank={}));var Xu;(function(n){n.float32="float32",n.int32="int32",n.bool="int32",n.complex64="complex64"})(Xu||(Xu={}));var Ju;(function(n){n.float32="float32",n.int32="int32",n.bool="bool",n.complex64="complex64"})(Ju||(Ju={}));var Zu;(function(n){n.float32="float32",n.int32="float32",n.bool="float32",n.complex64="complex64"})(Zu||(Zu={}));var Qu;(function(n){n.float32="complex64",n.int32="complex64",n.bool="complex64",n.complex64="complex64"})(Qu||(Qu={}));var d2={float32:Zu,int32:Xu,bool:Ju,complex64:Qu};function Is(n,t){if(n==="string"||t==="string"){if(n==="string"&&t==="string")return"string";throw new Error("Can not upcast "+n+" with "+t)}return d2[n][t]}function p2(n){return Is(n,"int32")}function rt(n,t){if(n.dtype===t.dtype)return[n,t];var e=Is(n.dtype,t.dtype);return[n.cast(e),t.cast(e)]}function jf(n,t){E(n.dtype===t.dtype,function(){return"The dtypes of the first("+n.dtype+") and"+(" second("+t.dtype+") input must match")})}function f2(n,t){return t.some(function(e){return e.id===n.id})}function ec(n){var t=[],e=new Set;return $f(n,t,e),t}function $f(n,t,e){if(n==null)return;if(n instanceof Y){t.push(n);return}if(!m2(n))return;var i=n;for(var r in i){var a=i[r];e.has(a)||(e.add(a),$f(a,t,e))}}function m2(n){return Array.isArray(n)||typeof n=="object"}var g2={__proto__:null,makeTypesMatch:rt,assertTypesMatch:jf,isTensorInList:f2,getTensorsInContainer:ec};var Xf=function(){function n(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return n.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},n}(),b2=function(){function n(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Xf}return n.prototype.ready=function(){return de(this,void 0,void 0,function(){var t,e,i,r;return pe(this,function(a){switch(a.label){case 0:if(this.pendingBackendInit!=null)return[2,this.pendingBackendInit.then(function(){})];if(this.backendInstance!=null)return[2];t=this.getSortedBackends(),e=0,a.label=1;case 1:return e<t.length?(i=t[e],[4,this.initializeBackend(i).success]):[3,5];case 2:return r=a.sent(),r?[4,this.setBackend(i)]:[3,4];case 3:return a.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}})})},Object.defineProperty(n.prototype,"backend",{get:function(){if(this.pendingBackendInit!=null)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");if(this.backendInstance==null){var t=this.initializeBackendsAndReturnBest(),e=t.name,i=t.asyncInit;if(i)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),n.prototype.backendNames=function(){return Object.keys(this.registryFactory)},n.prototype.findBackend=function(t){if(!(t in this.registry))if(t in this.registryFactory){var e=this.initializeBackend(t).asyncInit;if(e)return null}else return null;return this.registry[t]},n.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},n.prototype.registerBackend=function(t,e,i){return i===void 0&&(i=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:i},!0)},n.prototype.setBackend=function(t){return de(this,void 0,void 0,function(){var e,i,r,a,s;return pe(this,function(o){switch(o.label){case 0:if(this.registryFactory[t]==null)throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,this.registry[t]==null?(this.backendInstance=null,e=this.initializeBackend(t),i=e.success,r=e.asyncInit,r?[4,i]:[3,2]):[3,4];case 1:return s=o.sent(),[3,3];case 2:s=i,o.label=3;case 3:if(a=s,!a)return[2,!1];o.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new a2(this.backendInstance),[2,!0]}})})},n.prototype.setupRegisteredKernels=function(){var t=this,e=gs(this.backendName);e.forEach(function(i){i.setupFunc!=null&&i.setupFunc(t.backendInstance)})},n.prototype.disposeRegisteredKernels=function(t){var e=this,i=gs(t);i.forEach(function(r){r.disposeFunc!=null&&r.disposeFunc(e.registry[t])})},n.prototype.initializeBackend=function(t){var e=this,i=this.registryFactory[t];if(i==null)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=i.factory();if(r&&!(r instanceof Op)&&typeof r.then=="function"){var a=++this.pendingBackendInitId,s=r.then(function(o){return a<e.pendingBackendInitId?!1:(e.registry[t]=o,e.pendingBackendInit=null,!0)}).catch(function(o){return a<e.pendingBackendInitId||(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(o.stack||o.message)),!1});return this.pendingBackendInit=s,{success:s,asyncInit:!0}}else return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(o){return console.warn("Initialization of backend "+t+" failed"),console.warn(o.stack||o.message),{success:!1,asyncInit:!1}}},n.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&this.pendingBackendInit!=null&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},n.prototype.getSortedBackends=function(){var t=this;if(Object.keys(this.registryFactory).length===0)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(e,i){return t.registryFactory[i].priority-t.registryFactory[e].priority})},n.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var i=t[e],r=this.initializeBackend(i),a=r.success,s=r.asyncInit;if(s||a)return{name:i,asyncInit:s}}throw new Error("Could not initialize any backends, all backend initializations failed.")},n.prototype.moveData=function(t,e){var i=this.state.tensorInfo.get(e),r=i.backend,a=this.readSync(e);r.disposeData(e),i.backend=t,t.move(e,a,i.shape,i.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},n.prototype.tidy=function(t,e){var i=this,r=null;if(e==null){if(typeof t!="function")throw new Error("Please provide a function to tidy()");e=t}else{if(typeof t!="string"&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if(typeof e!="function")throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");r=t}var a;return this.scopedRun(function(){return i.startScope(r)},function(){return i.endScope(a)},function(){return a=e(),a instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),a})},n.prototype.scopedRun=function(t,e,i){t();try{var r=i();return e(),r}catch(a){throw e(),a}},n.prototype.nextTensorId=function(){return n.nextTensorId++},n.prototype.nextVariableId=function(){return n.nextVariableId++},n.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),i={x:t},r=function(s){return{x:function(){var o="float32",l={x:s},u={dtype:o};return z.runKernelFunc(function(c){return c.cast(s,o)},l,null,ms,u)}}},a=[];return this.addTapeNode(this.state.activeScope.name,i,[e],r,a,{}),e},n.prototype.runKernel=function(t,e,i,r,a){var s=null,o=null;return this.runKernelFunc(s,e,o,t,i,r,a)},n.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},n.prototype.checkKernelForMemLeak=function(t,e,i){var r=this.backend.numDataIds(),a=0;i.forEach(function(l){a+=l.dtype==="complex64"?3:1});var s=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-e-a-s;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak "+("("+o+" data ids) after running '"+t+"'"))},n.prototype.runKernelFunc=function(t,e,i,r,a,s,o){var l=this,u,c=[],h=this.isTapeOn();r==null&&(r=this.state.activeScope!=null?this.state.activeScope.name:"");var d=this.state.numBytes,p=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var f,m=Hu(r,this.backendName),g;if(m!=null)f=function(){var w=l.backend.numDataIds();g=m.kernelFunc({inputs:e,attrs:a,backend:l.backend});var S=Array.isArray(g)?g:[g];l.shouldCheckForMemLeaks()&&l.checkKernelForMemLeak(r,w,S);var L=S.map(function(R){var D=R.dataId,k=R.shape,W=R.dtype;return l.makeTensorFromDataId(D,k,W)});if(h){var x=l.getTensorsForGradient(r,e,L);if(x==null){o==null&&(o=[]);var C=L.filter(function(R,D){return o[D]});x=(s||[]).slice().concat(C)}c=l.saveTensorsForBackwardMode(x)}return L};else{var v=function(w){if(!h)return;c=w.map(function(S){return l.keep(l.clone(S))})};f=function(){var w=l.backend.numDataIds();g=l.tidy(function(){return t(l.backend,v)});var S=Array.isArray(g)?g:[g];return l.shouldCheckForMemLeaks()&&l.checkKernelForMemLeak(r,w,S),S}}var b;return this.scopedRun(function(){return l.state.kernelDepth++},function(){return l.state.kernelDepth--},function(){!l.ENV.getBool("DEBUG")&&!l.state.profiling?u=f():(b=l.profiler.profileKernel(r,e,function(){return f()}),l.ENV.getBool("DEBUG")&&l.profiler.logKernelProfile(b),u=b.outputs)}),h&&this.addTapeNode(r,e,u,i,c,a),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-d,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(w){return e[w]!=null?e[w].shape:null}),outputShapes:u.map(function(w){return w.shape}),kernelTimeMs:b.timeMs,extraInfo:b.extraInfo}),Array.isArray(g)?u:u[0]},n.prototype.saveTensorsForBackwardMode=function(t){var e=this,i=t.map(function(r){return e.keep(e.clone(r))});return i},n.prototype.getTensorsForGradient=function(t,e,i){var r=Vu(t);if(r!=null){var a=r.inputsToSave||[],s=r.outputsToSave||[],o=void 0;r.saveAllInputs?(E(Array.isArray(e),function(){return"saveAllInputs is true, expected inputs to be an array."}),o=Object.keys(e).map(function(u){return e[u]})):o=a.map(function(u){return e[u]});var l=i.filter(function(u,c){return s[c]});return o.concat(l)}return null},n.prototype.makeTensor=function(t,e,i,r){if(t==null)throw new Error("Values passed to engine.makeTensor() are null");i=i||"float32",r=r||this.backend;var a=t;i==="string"&&Qn(t[0])&&(a=t.map(function(c){return qu(c)}));var s=r.write(a,e,i),o=new Y(e,i,s,this.nextTensorId());if(this.incRef(o,r),i==="string"){var l=this.state.tensorInfo.get(s),u=Hf(a);this.state.numBytes+=u-l.bytes,l.bytes=u}return o},n.prototype.makeTensorFromDataId=function(t,e,i,r){i=i||"float32";var a=new Y(e,i,t,this.nextTensorId());return this.incRef(a,r),a},n.prototype.makeVariable=function(t,e,i,r){e===void 0&&(e=!0),i=i||this.nextVariableId().toString(),r!=null&&r!==t.dtype&&(t=t.cast(r));var a=new ya(t,e,i,this.nextTensorId());if(this.state.registeredVariables[a.name]!=null)throw new Error("Variable with name "+a.name+" was already registered");return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},n.prototype.incRef=function(t,e){var i=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,t.dtype==="string"&&this.state.numStringTensors++,i===0){this.state.numDataBuffers++;var r=0;t.dtype!=="complex64"&&t.dtype!=="string"&&(r=t.size*Mf(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof ya||this.track(t)},n.prototype.disposeTensor=function(t){if(!this.state.tensorInfo.has(t.dataId))return;this.state.numTensors--,t.dtype==="string"&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId),i=e.refCount;i<=1?(t.dtype!=="complex64"&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--},n.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},n.prototype.disposeVariable=function(t){this.disposeTensor(t),this.state.registeredVariables[t.name]!=null&&delete this.state.registeredVariables[t.name]},n.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,t.reasons==null&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},n.prototype.profile=function(t){return de(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u;return pe(this,function(c){switch(c.label){case 0:return this.state.profiling=!0,e=this.state.numBytes,i=this.state.numTensors,this.state.activeProfile.kernels=[],r=this.state.activeProfile,[4,t()];case 1:r.result=c.sent(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map(function(h){return h.totalBytesSnapshot})),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-i,a=0,s=this.state.activeProfile.kernels,c.label=2;case 2:return a<s.length?(o=s[a],l=o,[4,o.kernelTimeMs]):[3,6];case 3:return l.kernelTimeMs=c.sent(),u=o,[4,o.extraInfo];case 4:u.extraInfo=c.sent(),c.label=5;case 5:return a++,[3,2];case 6:return[2,this.state.activeProfile]}})})},n.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&this.state.kernelDepth===0},n.prototype.addTapeNode=function(t,e,i,r,a,s){var o=this,l={id:this.state.nextTapeNodeId++,kernelName:t,inputs:e,outputs:i,saved:a},u=Vu(t);u!=null&&(r=u.gradFunc),r!=null&&(l.gradient=function(c){return c=c.map(function(h,d){if(h==null){var p=i[d],f=yr(p.size,p.dtype);return o.makeTensor(f,p.shape,p.dtype)}return h}),r(c.length>1?c:c[0],a,s)}),this.state.activeTape.push(l)},n.prototype.keep=function(t){return t.kept=!0,t},n.prototype.startTape=function(){this.state.gradientDepth===0&&(this.state.activeTape=[]),this.state.gradientDepth++},n.prototype.endTape=function(){this.state.gradientDepth--},n.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},n.prototype.endScope=function(t){for(var e=this,i=ec(t),r=new Set(i.map(function(l){return l.id})),a=0;a<this.state.activeScope.track.length;a++){var s=this.state.activeScope.track[a];!s.kept&&!r.has(s.id)&&s.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=this.state.scopeStack.length===0?null:this.state.scopeStack[this.state.scopeStack.length-1],i.forEach(function(l){!l.kept&&l.scopeId===o.id&&e.track(l)})},n.prototype.gradients=function(t,e,i,r){var a=this;if(r===void 0&&(r=!1),E(e.length>0,function(){return"gradients() received an empty list of xs."}),i!=null&&i.dtype!=="float32")throw new Error("dy must have 'float32' dtype, but has '"+i.dtype+"'");var s=this.scopedRun(function(){return a.startTape()},function(){return a.endTape()},function(){return a.tidy("forward",t)});E(s instanceof Y,function(){return"The result y returned by f() must be a tensor."});var o=s2(this.state.activeTape,e,s);if(!r&&o.length===0&&e.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.");return this.tidy("backward",function(){var l={};l[s.id]=i??v2(s.shape),o2(l,o,function(c){return a.tidy(c)},y2);var u=e.map(function(c){return l[c.id]});return a.state.gradientDepth===0&&(a.state.activeTape.forEach(function(c){for(var h=0,d=c.saved;h<d.length;h++){var p=d[h];p.dispose()}}),a.state.activeTape=null),{value:s,grads:u}})},n.prototype.customGrad=function(t){var e=this;return E(ei(t),function(){return"The f passed in customGrad(f) must be a function."}),function(){for(var i=[],r=0;r<arguments.length;r++)i[r]=arguments[r];E(i.every(function(o){return o instanceof Y}),function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"});var a,s={};return i.forEach(function(o,l){s[l]=o}),e.runKernelFunc(function(o,l){return a=t.apply(void 0,i.concat([l])),E(a.value instanceof Y,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"}),E(ei(a.gradFunc),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."}),a.value},s,function(o,l){var u=a.gradFunc(o,l),c=Array.isArray(u)?u:[u];E(c.length===i.length,function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."}),E(c.every(function(d){return d instanceof Y}),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."});var h={};return c.forEach(function(d,p){h[p]=function(){return d}}),h})}},n.prototype.readSync=function(t){var e=this.state.tensorInfo.get(t);return e.backend.readSync(t)},n.prototype.read=function(t){var e=this.state.tensorInfo.get(t);return e.backend.read(t)},n.prototype.time=function(t){return de(this,void 0,void 0,function(){var e,i;return pe(this,function(r){switch(r.label){case 0:return e=Yu(),[4,this.backend.time(t)];case 1:return i=r.sent(),i.wallMs=Yu()-e,[2,i]}})})},n.prototype.track=function(t){return this.state.activeScope!=null&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t},Object.defineProperty(n.prototype,"registeredVariables",{get:function(){return this.state.registeredVariables},enumerable:!0,configurable:!0}),n.prototype.reset=function(){this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Xf;for(var t in this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},n.nextTensorId=0,n.nextVariableId=0,n}();function v2(n){var t=Gu(st(n),"float32");return z.makeTensor(t,n,"float32")}function Jf(){var n=kp();if(n._tfengine==null){var t=new Dp(n);n._tfengine=new b2(t)}return FI(n._tfengine.ENV),c2(function(){return n._tfengine}),n._tfengine}var z=Jf();function y2(n,t){var e={a:n,b:t};return z.runKernelFunc(function(i,r){var a=i.add(n,t);return r([n,t]),a},e,null,fs)}function w2(){return typeof navigator!="undefined"&&navigator!=null}function S2(){if(w2()){var n=navigator.userAgent||navigator.vendor||window.opera;return/(android|bb\d+|meego).+mobile|avantgo|bada\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\/|plucker|pocket|psp|series(4|6)0|symbian|treo|up\.(browser|link)|vodafone|wap|windows ce|xda|xiino/i.test(n)||/1207|6310|6590|3gso|4thp|50[1-6]i|770s|802s|a wa|abac|ac(er|oo|s\-)|ai(ko|rn)|al(av|ca|co)|amoi|an(ex|ny|yw)|aptu|ar(ch|go)|as(te|us)|attw|au(di|\-m|r |s )|avan|be(ck|ll|nq)|bi(lb|rd)|bl(ac|az)|br(e|v)w|bumb|bw\-(n|u)|c55\/|capi|ccwa|cdm\-|cell|chtm|cldc|cmd\-|co(mp|nd)|craw|da(it|ll|ng)|dbte|dc\-s|devi|dica|dmob|do(c|p)o|ds(12|\-d)|el(49|ai)|em(l2|ul)|er(ic|k0)|esl8|ez([4-7]0|os|wa|ze)|fetc|fly(\-|_)|g1 u|g560|gene|gf\-5|g\-mo|go(\.w|od)|gr(ad|un)|haie|hcit|hd\-(m|p|t)|hei\-|hi(pt|ta)|hp( i|ip)|hs\-c|ht(c(\-| |_|a|g|p|s|t)|tp)|hu(aw|tc)|i\-(20|go|ma)|i230|iac( |\-|\/)|ibro|idea|ig01|ikom|im1k|inno|ipaq|iris|ja(t|v)a|jbro|jemu|jigs|kddi|keji|kgt( |\/)|klon|kpt |kwc\-|kyo(c|k)|le(no|xi)|lg( g|\/(k|l|u)|50|54|\-[a-w])|libw|lynx|m1\-w|m3ga|m50\/|ma(te|ui|xo)|mc(01|21|ca)|m\-cr|me(rc|ri)|mi(o8|oa|ts)|mmef|mo(01|02|bi|de|do|t(\-| |o|v)|zz)|mt(50|p1|v )|mwbp|mywa|n10[0-2]|n20[2-3]|n30(0|2)|n50(0|2|5)|n7(0(0|1)|10)|ne((c|m)\-|on|tf|wf|wg|wt)|nok(6|i)|nzph|o2im|op(ti|wv)|oran|owg1|p800|pan(a|d|t)|pdxg|pg(13|\-([1-8]|c))|phil|pire|pl(ay|uc)|pn\-2|po(ck|rt|se)|prox|psio|pt\-g|qa\-a|qc(07|12|21|32|60|\-[2-7]|i\-)|qtek|r380|r600|raks|rim9|ro(ve|zo)|s55\/|sa(ge|ma|mm|ms|ny|va)|sc(01|h\-|oo|p\-)|sdk\/|se(c(\-|0|1)|47|mc|nd|ri)|sgh\-|shar|sie(\-|m)|sk\-0|sl(45|id)|sm(al|ar|b3|it|t5)|so(ft|ny)|sp(01|h\-|v\-|v )|sy(01|mb)|t2(18|50)|t6(00|10|18)|ta(gt|lk)|tcl\-|tdg\-|tel(i|m)|tim\-|t\-mo|to(pl|sh)|ts(70|m\-|m3|m5)|tx\-9|up(\.b|g1|si)|utst|v400|v750|veri|vi(rg|te)|vk(40|5[0-3]|\-v)|vm40|voda|vulc|vx(52|53|60|61|70|80|81|83|85|98)|w3c(\-| )|webc|whit|wi(g |nc|nw)|wmlb|wonu|x700|yas\-|your|zeto|zte\-/i.test(n.substr(0,4))}return!1}function Zf(){return typeof window!="undefined"&&window.document!=null||typeof WorkerGlobalScope!="undefined"}var L2={__proto__:null,isMobile:S2,isBrowser:Zf};var _n=He();_n.registerFlag("DEBUG",function(){return!1},function(n){n&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")});_n.registerFlag("IS_BROWSER",function(){return Zf()});_n.registerFlag("IS_NODE",function(){return typeof process!="undefined"&&typeof process.versions!="undefined"&&typeof process.versions.node!="undefined"});_n.registerFlag("IS_CHROME",function(){return typeof navigator!="undefined"&&navigator!=null&&navigator.userAgent!=null&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)});_n.registerFlag("PROD",function(){return!1});_n.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",function(){return _n.getBool("DEBUG")});_n.registerFlag("DEPRECATION_WARNINGS_ENABLED",function(){return!0});_n.registerFlag("IS_TEST",function(){return!1});function An(n,t){var e=n;if(Rt(n))return t==="string"?[]:[n.length];if(!Array.isArray(n))return[];for(var i=[];Array.isArray(e)||Rt(e)&&t!=="string";)i.push(e.length),e=e[0];return Array.isArray(n)&&He().getBool("TENSORLIKE_CHECK_SHAPE_CONSISTENCY")&&Qf(n,i,[]),i}function Qf(n,t,e){if(e=e||[],!Array.isArray(n)&&!Rt(n)){E(t.length===0,function(){return"Element arr["+e.join("][")+"] is a primitive, "+("but should be an array/TypedArray of "+t[0]+" elements")});return}E(t.length>0,function(){return"Element arr["+e.join("][")+"] should be a primitive, "+("but is an array of "+n.length+" elements")}),E(n.length===t[0],function(){return"Element arr["+e.join("][")+"] should have "+t[0]+" "+("elements, but has "+n.length+" elements")});for(var i=t.slice(1),r=0;r<n.length;++r)Qf(n[r],i,e.concat(r))}function em(n,t,e,i){if(n==null)return;if(n!=="numeric"&&n!==t||n==="numeric"&&t==="string")throw new Error("Argument '"+e+"' passed to '"+i+"' must "+("be "+n+" tensor, but got "+t+" tensor"))}function O(n,t,e,i){if(i===void 0&&(i="numeric"),n instanceof Y)return em(i,n.dtype,t,e),n;var r=ys(n);if(r!=="string"&&["bool","int32","float32"].indexOf(i)>=0&&(r=i),em(i,r,t,e),n==null||!Rt(n)&&!Array.isArray(n)&&typeof n!="number"&&typeof n!="boolean"&&typeof n!="string"){var a=n==null?"null":n.constructor.name;throw new Error("Argument '"+t+"' passed to '"+e+"' must be a "+("Tensor or TensorLike, but got '"+a+"'"))}var s=An(n,r);!Rt(n)&&!Array.isArray(n)&&(n=[n]);var o=!0,l=r!=="string"?ws(n,r):Oi(n,[],o);return z.makeTensor(l,s,r)}function ba(n,t,e,i){if(i===void 0&&(i="numeric"),!Array.isArray(n))throw new Error("Argument "+t+" passed to "+e+" must be a `Tensor[]` or `TensorLike[]`");var r=n;return r.map(function(a,s){return O(a,t+"["+s+"]",e)},i)}var tm="__op";function U(n){var t=Object.keys(n);if(t.length!==1)throw new Error("Please provide an object with a single key (operation name) mapping to a function. Got an object with "+(t.length+" keys."));var e=t[0],i=n[e];e.endsWith("_")&&(e=e.substring(0,e.length-1)),e=e+tm;var r=function(){for(var a=[],s=0;s<arguments.length;s++)a[s]=arguments[s];z.startScope(e);try{var o=i.apply(void 0,a);return o instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),z.endScope(o),o}catch(l){throw z.endScope(null),l}};return Object.defineProperty(r,"name",{value:e,configurable:!0}),r}function I2(n,t){var e=O(n,"real","complex"),i=O(t,"imag","complex");Be(e.shape,i.shape,"real and imag shapes, "+e.shape+" and "+i.shape+", must match in call to tf.complex().");var r=function(s){return s.complex(e,i)},a={real:e,imag:i};return z.runKernelFunc(r,a,null,Pp)}var ti=U({complex_:I2});function ni(n,t,e,i){if(i==null&&(i=ys(n)),i==="complex64")throw new Error("Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).");if(!Rt(n)&&!Array.isArray(n)&&typeof n!="number"&&typeof n!="boolean"&&typeof n!="string")throw new Error("values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray");if(t!=null){Ku(t);var r=st(t),a=st(e);E(r===a,function(){return"Based on the provided shape, ["+t+"], the tensor should have "+(r+" values but has "+a)});for(var s=0;s<e.length;++s){var o=e[s],l=s===e.length-1?o!==st(t.slice(s)):!0;E(e[s]===t[s]||!l,function(){return"Error creating a new Tensor. Inferred shape "+("("+e+") does not match the provided ")+("shape ("+t+"). ")})}}return!Rt(n)&&!Array.isArray(n)&&(n=[n]),t=t||e,n=i!=="string"?ws(n,i):Oi(n,[],!0),z.makeTensor(n,t,i)}function ii(n,t,e){var i=An(n,e);return ni(n,t,i,e)}var tc={float32:4,float16:2,int32:4,uint16:2,uint8:1,bool:1,complex64:8};var As=4;function T2(n,t){return de(this,void 0,void 0,function(){var e,i,r,a,s,o,l=this;return pe(this,function(u){switch(u.label){case 0:for(e=[],i=[],r=Array.isArray(n)?n.map(function(c){return c.name}):Object.keys(n),a=function(c){var h=r[c],d=Array.isArray(n)?n[c].tensor:n[h];if(d.dtype!=="float32"&&d.dtype!=="int32"&&d.dtype!=="bool"&&d.dtype!=="string"&&d.dtype!=="complex64")throw new Error("Unsupported dtype in weight '"+h+"': "+d.dtype);var p={name:h,shape:d.shape,dtype:d.dtype};if(d.dtype==="string"){var f=new Promise(function(m){return de(l,void 0,void 0,function(){var g,v,b,w,S,L,x;return pe(this,function(C){switch(C.label){case 0:return[4,d.bytes()];case 1:for(g=C.sent(),v=g.reduce(function(R,D){return R+D.length},0)+As*g.length,b=new Uint8Array(v),w=0,S=0;S<g.length;S++)L=g[S],x=new Uint8Array(new Uint32Array([L.length]).buffer),b.set(x,w),w+=As,b.set(L,w),w+=L.length;return m(b),[2]}})})});i.push(f)}else i.push(d.data());t!=null&&(p.group=t),e.push(p)},s=0;s<r.length;++s)a(s);return[4,Promise.all(i)];case 1:return o=u.sent(),[2,{data:A2(o),specs:e}]}})})}function nm(n,t){for(var e={},i,r=0,a=0,s=t;a<s.length;a++){var o=s[a],l=o.name,u=o.dtype,c=o.shape,h=st(c),d=void 0;if("quantization"in o){var p=o.quantization;if(p.dtype==="uint8"||p.dtype==="uint16"){if(!("min"in p&&"scale"in p))throw new Error("Weight "+o.name+" with quantization "+p.dtype+" doesn't have corresponding metadata min and scale.")}else if(p.dtype==="float16"){if(u!=="float32")throw new Error("Weight "+o.name+" is quantized with "+p.dtype+" "+("which only supports weights of type float32 not "+u+"."))}else throw new Error("Weight "+o.name+" has unknown "+("quantization dtype "+p.dtype+". ")+"Supported quantization dtypes are: 'uint8', 'uint16', and 'float16'.");var f=tc[p.dtype],m=n.slice(r,r+h*f),g=p.dtype==="uint8"?new Uint8Array(m):new Uint16Array(m);if(u==="float32")if(p.dtype==="uint8"||p.dtype==="uint16"){d=new Float32Array(g.length);for(var v=0;v<g.length;v++){var b=g[v];d[v]=b*p.scale+p.min}}else if(p.dtype==="float16")i===void 0&&(i=N2()),d=i(g);else throw new Error("Unsupported quantization type "+p.dtype+" for weight type float32.");else if(u==="int32"){if(p.dtype!=="uint8"&&p.dtype!=="uint16")throw new Error("Unsupported quantization type "+p.dtype+" for weight type int32.");d=new Int32Array(g.length);for(var v=0;v<g.length;v++){var b=g[v];d[v]=Math.round(b*p.scale+p.min)}}else throw new Error("Unsupported dtype in weight '"+l+"': "+u);r+=h*f}else if(u==="string"){var w=st(o.shape);d=[];for(var v=0;v<w;v++){var S=new Uint32Array(n.slice(r,r+As))[0];r+=As;var L=new Uint8Array(n.slice(r,r+S));d.push(L),r+=S}}else{var x=tc[u],m=n.slice(r,r+h*x);if(u==="float32")d=new Float32Array(m);else if(u==="int32")d=new Int32Array(m);else if(u==="bool")d=new Uint8Array(m);else if(u==="complex64"){d=new Float32Array(m);for(var C=new Float32Array(d.length/2),R=new Float32Array(d.length/2),v=0;v<C.length;v++)C[v]=d[v*2],R[v]=d[v*2+1];var D=ii(C,c,"float32"),k=ii(R,c,"float32");e[l]=ti(D,k)}else throw new Error("Unsupported dtype in weight '"+l+"': "+u);r+=h*x}u!=="complex64"&&(e[l]=ii(d,c,u))}return e}function A2(n){if(n===null)throw new Error("Invalid input value: "+JSON.stringify(n));var t=0,e=[];n.forEach(function(a){if(t+=a.byteLength,e.push(a.byteLength===a.buffer.byteLength?a:new a.constructor(a)),!(a instanceof Float32Array||a instanceof Int32Array||a instanceof Uint8Array))throw new Error("Unsupported TypedArray subtype: "+a.constructor.name)});var i=new Uint8Array(t),r=0;return e.forEach(function(a){i.set(new Uint8Array(a.buffer),r),r+=a.byteLength}),i.buffer}var nc=typeof Buffer!="undefined"&&(typeof Blob=="undefined"||typeof atob=="undefined"||typeof btoa=="undefined");function im(n){return nc?Buffer.byteLength(n):new Blob([n]).size}function x2(n){if(nc)return Buffer.from(n).toString("base64");for(var t=new Uint8Array(n),e="",i=0,r=t.length;i<r;i++)e+=String.fromCharCode(t[i]);return btoa(e)}function C2(n){if(nc){var t=Buffer.from(n,"base64");return t.buffer.slice(t.byteOffset,t.byteOffset+t.byteLength)}for(var e=atob(n),i=new Uint8Array(e.length),r=0;r<e.length;++r)i.set([e.charCodeAt(r)],r);return i.buffer}function ic(n){if(n.length===1)return n[0];var t=0;n.forEach(function(r){t+=r.byteLength});var e=new Uint8Array(t),i=0;return n.forEach(function(r){e.set(new Uint8Array(r),i),i+=r.byteLength}),e.buffer}function rm(n){var t="/";for(n=n.trim();n.endsWith(t);)n=n.slice(0,n.length-1);var e=n.split(t);return e[e.length-1]}function wa(n){if(n.modelTopology instanceof ArrayBuffer)throw new Error("Expected JSON model topology, received ArrayBuffer.");return{dateSaved:new Date,modelTopologyType:"JSON",modelTopologyBytes:n.modelTopology==null?0:im(JSON.stringify(n.modelTopology)),weightSpecsBytes:n.weightSpecs==null?0:im(JSON.stringify(n.weightSpecs)),weightDataBytes:n.weightData==null?0:n.weightData.byteLength}}function R2(){var n=function(i){for(var r=i<<13,a=0;(r&8388608)===0;)a-=8388608,r<<=1;return r&=~8388608,a+=947912704,r|a},t=new Uint32Array(2048);t[0]=0;for(var e=1;e<1024;e++)t[e]=n(e);for(var e=1024;e<2048;e++)t[e]=939524096+(e-1024<<13);return t}function O2(){var n=new Uint32Array(64);n[0]=0,n[31]=1199570944,n[32]=2147483648,n[63]=3347054592;for(var t=1;t<31;t++)n[t]=t<<23;for(var t=33;t<63;t++)n[t]=2147483648+(t-32<<23);return n}function E2(){for(var n=new Uint32Array(64),t=0;t<64;t++)n[t]=1024;return n[0]=n[32]=0,n}function N2(){var n=R2(),t=O2(),e=E2();return function(i){for(var r=new ArrayBuffer(4*i.length),a=new Uint32Array(r),s=0;s<i.length;s++){var o=i[s],l=n[e[o>>10]+(o&1023)]+t[o>>10];a[s]=l}return new Float32Array(r)}}var Xt=function(){function n(){this.saveRouters=[],this.loadRouters=[]}return n.getInstance=function(){return n.instance==null&&(n.instance=new n),n.instance},n.registerSaveRouter=function(t){n.getInstance().saveRouters.push(t)},n.registerLoadRouter=function(t){n.getInstance().loadRouters.push(t)},n.getSaveHandlers=function(t){return n.getHandlers(t,"save")},n.getLoadHandlers=function(t,e){return n.getHandlers(t,"load",e)},n.getHandlers=function(t,e,i){var r=[],a=e==="load"?n.getInstance().loadRouters:n.getInstance().saveRouters;return a.forEach(function(s){var o=s(t,i);o!==null&&r.push(o)}),r},n}(),D2=function(n){return Xt.registerSaveRouter(n)},k2=function(n){return Xt.registerLoadRouter(n)},F2=function(n){return Xt.getSaveHandlers(n)},W2=function(n,t){return Xt.getLoadHandlers(n,t)};var rc="tensorflowjs",ac=1,Ei="models_store",ri="model_info_store";function am(){if(!He().getBool("IS_BROWSER"))throw new Error("Failed to obtain IndexedDB factory because the current environmentis not a web browser.");var n=typeof window=="undefined"?self:window,t=n.indexedDB||n.mozIndexedDB||n.webkitIndexedDB||n.msIndexedDB||n.shimIndexedDB;if(t==null)throw new Error("The current browser does not appear to support IndexedDB.");return t}function sc(n){var t=n.result;t.createObjectStore(Ei,{keyPath:"modelPath"}),t.createObjectStore(ri,{keyPath:"modelPath"})}var wr=function(){function n(t){if(this.indexedDB=am(),t==null||!t)throw new Error("For IndexedDB, modelPath must not be null, undefined or empty.");this.modelPath=t}return n.prototype.save=function(t){return de(this,void 0,void 0,function(){return pe(this,function(e){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");return[2,this.databaseAction(this.modelPath,t)]})})},n.prototype.load=function(){return de(this,void 0,void 0,function(){return pe(this,function(t){return[2,this.databaseAction(this.modelPath)]})})},n.prototype.databaseAction=function(t,e){var i=this;return new Promise(function(r,a){var s=i.indexedDB.open(rc,ac);s.onupgradeneeded=function(){return sc(s)},s.onsuccess=function(){var o=s.result;if(e==null){var l=o.transaction(Ei,"readonly"),u=l.objectStore(Ei),c=u.get(i.modelPath);c.onsuccess=function(){if(c.result==null)return o.close(),a(new Error("Cannot find model with path '"+i.modelPath+"' in IndexedDB."));r(c.result.modelArtifacts)},c.onerror=function(g){return o.close(),a(c.error)},l.oncomplete=function(){return o.close()}}else{var h=wa(e),d=o.transaction(ri,"readwrite"),p=d.objectStore(ri),f=p.put({modelPath:i.modelPath,modelArtifactsInfo:h}),m;f.onsuccess=function(){m=o.transaction(Ei,"readwrite");var g=m.objectStore(Ei),v=g.put({modelPath:i.modelPath,modelArtifacts:e,modelArtifactsInfo:h});v.onsuccess=function(){return r({modelArtifactsInfo:h})},v.onerror=function(b){p=d.objectStore(ri);var w=p.delete(i.modelPath);w.onsuccess=function(){return o.close(),a(v.error)},w.onerror=function(S){return o.close(),a(v.error)}}},f.onerror=function(g){return o.close(),a(f.error)},d.oncomplete=function(){m==null?o.close():m.oncomplete=function(){return o.close()}}}},s.onerror=function(o){return a(s.error)}})},n.URL_SCHEME="indexeddb://",n}(),sm=function(n){return He().getBool("IS_BROWSER")&&(!Array.isArray(n)&&n.startsWith(wr.URL_SCHEME))?U2(n.slice(wr.URL_SCHEME.length)):null};Xt.registerSaveRouter(sm);Xt.registerLoadRouter(sm);function U2(n){return new wr(n)}function B2(n){return n.startsWith(wr.URL_SCHEME)?n.slice(wr.URL_SCHEME.length):n}var z2=function(){function n(){this.indexedDB=am()}return n.prototype.listModels=function(){return de(this,void 0,void 0,function(){var t=this;return pe(this,function(e){return[2,new Promise(function(i,r){var a=t.indexedDB.open(rc,ac);a.onupgradeneeded=function(){return sc(a)},a.onsuccess=function(){var s=a.result,o=s.transaction(ri,"readonly"),l=o.objectStore(ri),u=l.getAll();u.onsuccess=function(){for(var c={},h=0,d=u.result;h<d.length;h++){var p=d[h];c[p.modelPath]=p.modelArtifactsInfo}i(c)},u.onerror=function(c){return s.close(),r(u.error)},o.oncomplete=function(){return s.close()}},a.onerror=function(s){return r(a.error)}})]})})},n.prototype.removeModel=function(t){return de(this,void 0,void 0,function(){var e=this;return pe(this,function(i){return t=B2(t),[2,new Promise(function(r,a){var s=e.indexedDB.open(rc,ac);s.onupgradeneeded=function(){return sc(s)},s.onsuccess=function(){var o=s.result,l=o.transaction(ri,"readwrite"),u=l.objectStore(ri),c=u.get(t),h;c.onsuccess=function(){if(c.result==null)return o.close(),a(new Error("Cannot find model with path '"+t+"' in IndexedDB."));var d=u.delete(t),p=function(){h=o.transaction(Ei,"readwrite");var f=h.objectStore(Ei),m=f.delete(t);m.onsuccess=function(){return r(c.result.modelArtifactsInfo)},m.onerror=function(g){return a(c.error)}};d.onsuccess=p,d.onerror=function(f){return p(),o.close(),a(c.error)}},c.onerror=function(d){return o.close(),a(c.error)},l.oncomplete=function(){h==null?o.close():h.oncomplete=function(){return o.close()}}},s.onerror=function(o){return a(s.error)}})]})})},n}();var Mn="/",Sr="tensorflowjs_models",om="info",P2="model_topology",_2="weight_specs",M2="weight_data",H2="model_metadata";function lm(n){return{info:[Sr,n,om].join(Mn),topology:[Sr,n,P2].join(Mn),weightSpecs:[Sr,n,_2].join(Mn),weightData:[Sr,n,M2].join(Mn),modelMetadata:[Sr,n,H2].join(Mn)}}function V2(n){var t=n.split(Mn);if(t.length<3)throw new Error("Invalid key format: "+n);return t.slice(1,t.length-1).join(Mn)}function q2(n){return n.startsWith(Lr.URL_SCHEME)?n.slice(Lr.URL_SCHEME.length):n}var Lr=function(){function n(t){if(!He().getBool("IS_BROWSER")||typeof window=="undefined"||typeof window.localStorage=="undefined")throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,t==null||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=lm(this.modelPath)}return n.prototype.save=function(t){return de(this,void 0,void 0,function(){var e,i,r;return pe(this,function(a){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");e=JSON.stringify(t.modelTopology),i=JSON.stringify(t.weightSpecs),r=wa(t);try{return this.LS.setItem(this.keys.info,JSON.stringify(r)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,i),this.LS.setItem(this.keys.weightData,x2(t.weightData)),this.LS.setItem(this.keys.modelMetadata,JSON.stringify({format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,userDefinedMetadata:t.userDefinedMetadata})),[2,{modelArtifactsInfo:r}]}catch(s){throw this.LS.removeItem(this.keys.info),this.LS.removeItem(this.keys.topology),this.LS.removeItem(this.keys.weightSpecs),this.LS.removeItem(this.keys.weightData),this.LS.removeItem(this.keys.modelMetadata),new Error("Failed to save model '"+this.modelPath+"' to local storage: size quota being exceeded is a possible cause of this failure: "+("modelTopologyBytes="+r.modelTopologyBytes+", ")+("weightSpecsBytes="+r.weightSpecsBytes+", ")+("weightDataBytes="+r.weightDataBytes+"."))}return[2]})})},n.prototype.load=function(){return de(this,void 0,void 0,function(){var t,e,i,r,a,s,o;return pe(this,function(l){if(t=JSON.parse(this.LS.getItem(this.keys.info)),t==null)throw new Error("In local storage, there is no model with name '"+this.modelPath+"'");if(t.modelTopologyType!=="JSON")throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");if(e={},i=JSON.parse(this.LS.getItem(this.keys.topology)),i==null)throw new Error("In local storage, the topology of model '"+this.modelPath+"' is missing.");if(e.modelTopology=i,r=JSON.parse(this.LS.getItem(this.keys.weightSpecs)),r==null)throw new Error("In local storage, the weight specs of model '"+this.modelPath+"' are missing.");if(e.weightSpecs=r,a=this.LS.getItem(this.keys.modelMetadata),a!=null&&(s=JSON.parse(a),e.format=s.format,e.generatedBy=s.generatedBy,e.convertedBy=s.convertedBy,e.userDefinedMetadata=s.userDefinedMetadata),o=this.LS.getItem(this.keys.weightData),o==null)throw new Error("In local storage, the binary weight values of model "+("'"+this.modelPath+"' are missing."));return e.weightData=C2(o),[2,e]})})},n.URL_SCHEME="localstorage://",n}(),um=function(n){return He().getBool("IS_BROWSER")&&(!Array.isArray(n)&&n.startsWith(Lr.URL_SCHEME))?G2(n.slice(Lr.URL_SCHEME.length)):null};Xt.registerSaveRouter(um);Xt.registerLoadRouter(um);function G2(n){return new Lr(n)}var Y2=function(){function n(){E(He().getBool("IS_BROWSER"),function(){return"Current environment is not a web browser"}),E(typeof window=="undefined"||typeof window.localStorage!="undefined",function(){return"Current browser does not appear to support localStorage"}),this.LS=window.localStorage}return n.prototype.listModels=function(){return de(this,void 0,void 0,function(){var t,e,i,r,a,s;return pe(this,function(o){for(t={},e=Sr+Mn,i=Mn+om,r=0;r<this.LS.length;++r)a=this.LS.key(r),a.startsWith(e)&&a.endsWith(i)&&(s=V2(a),t[s]=JSON.parse(this.LS.getItem(a)));return[2,t]})})},n.prototype.removeModel=function(t){return de(this,void 0,void 0,function(){var e,i;return pe(this,function(r){if(t=q2(t),e=lm(t),this.LS.getItem(e.info)==null)throw new Error("Cannot find model at path '"+t+"'");return i=JSON.parse(this.LS.getItem(e.info)),this.LS.removeItem(e.info),this.LS.removeItem(e.topology),this.LS.removeItem(e.weightSpecs),this.LS.removeItem(e.weightData),[2,i]})})},n}();var Ir="://",ai=function(){function n(){this.managers={}}return n.getInstance=function(){return n.instance==null&&(n.instance=new n),n.instance},n.registerManager=function(t,e){E(t!=null,function(){return"scheme must not be undefined or null."}),t.endsWith(Ir)&&(t=t.slice(0,t.indexOf(Ir))),E(t.length>0,function(){return"scheme must not be an empty string."});var i=n.getInstance();E(i.managers[t]==null,function(){return"A model store manager is already registered for scheme '"+t+"'."}),i.managers[t]=e},n.getManager=function(t){var e=this.getInstance().managers[t];if(e==null)throw new Error("Cannot find model manager for scheme '"+t+"'");return e},n.getSchemes=function(){return Object.keys(this.getInstance().managers)},n}();function Ts(n){if(n.indexOf(Ir)===-1)throw new Error("The url string provided does not contain a scheme. Supported schemes are: "+(""+ai.getSchemes().join(",")));return{scheme:n.split(Ir)[0],path:n.split(Ir)[1]}}function cm(n,t,e){return e===void 0&&(e=!1),de(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h;return pe(this,function(d){switch(d.label){case 0:return E(n!==t,function(){return"Old path and new path are the same: '"+n+"'"}),i=Xt.getLoadHandlers(n),E(i.length>0,function(){return"Copying failed because no load handler is found for source URL "+n+"."}),E(i.length<2,function(){return"Copying failed because more than one ("+i.length+") "+("load handlers for source URL "+n+".")}),r=i[0],a=Xt.getSaveHandlers(t),E(a.length>0,function(){return"Copying failed because no save handler is found for destination "+("URL "+t+".")}),E(a.length<2,function(){return"Copying failed because more than one ("+i.length+") "+("save handlers for destination URL "+t+".")}),s=a[0],o=Ts(n).scheme,l=Ts(n).path,u=o===Ts(n).scheme,[4,r.load()];case 1:return c=d.sent(),e&&u?[4,ai.getManager(o).removeModel(l)]:[3,3];case 2:d.sent(),d.label=3;case 3:return[4,s.save(c)];case 4:return h=d.sent(),e&&!u?[4,ai.getManager(o).removeModel(l)]:[3,6];case 5:d.sent(),d.label=6;case 6:return[2,h.modelArtifactsInfo]}})})}function K2(){return de(this,void 0,void 0,function(){var n,t,e,i,r,a,s,o;return pe(this,function(l){switch(l.label){case 0:n=ai.getSchemes(),t={},e=0,i=n,l.label=1;case 1:return e<i.length?(r=i[e],[4,ai.getManager(r).listModels()]):[3,4];case 2:a=l.sent();for(s in a)o=r+Ir+s,t[o]=a[s];l.label=3;case 3:return e++,[3,1];case 4:return[2,t]}})})}function j2(n){return de(this,void 0,void 0,function(){var t,e;return pe(this,function(i){return t=Ts(n),e=ai.getManager(t.scheme),[2,e.removeModel(t.path)]})})}function $2(n,t){return de(this,void 0,void 0,function(){var e;return pe(this,function(i){return e=!1,[2,cm(n,t,e)]})})}function X2(n,t){return de(this,void 0,void 0,function(){var e;return pe(this,function(i){return e=!0,[2,cm(n,t,e)]})})}var J2=function(){function n(){}return n.prototype.fetch=function(t,e){return fetch(t,e)},n.prototype.now=function(){return performance.now()},n.prototype.encode=function(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error("Browser's encoder only supports utf-8, but got "+e);return this.textEncoder==null&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)},n.prototype.decode=function(t,e){return new TextDecoder(e).decode(t)},n}();if(He().get("IS_BROWSER")){He().setPlatform("browser",new J2);try{ai.registerManager(Lr.URL_SCHEME,new Y2)}catch(n){}try{ai.registerManager(wr.URL_SCHEME,new z2)}catch(n){}}var Z2={importFetch:function(){return Cp()}},oc,Q2=function(){function n(){this.util=Rp(),this.textEncoder=new this.util.TextEncoder}return n.prototype.fetch=function(t,e){return He().global.fetch!=null?He().global.fetch(t,e):(oc==null&&(oc=Z2.importFetch()),oc(t,e))},n.prototype.now=function(){var t=process.hrtime();return t[0]*1e3+t[1]/1e6},n.prototype.encode=function(t,e){if(e!=="utf-8"&&e!=="utf8")throw new Error("Node built-in encoder only supports utf-8, but got "+e);return this.textEncoder.encode(t)},n.prototype.decode=function(t,e){return t.length===0?"":new this.util.TextDecoder(e).decode(t)},n}();He().get("IS_NODE")&&He().setPlatform("node",new Q2);function Tn(n,t,e){return t===void 0&&(t="float32"),t=t||"float32",Ku(n),new Ls(n,t,e)}function eA(n,t){var e=O(n,"x","cast");if(!Pf(t))throw new Error("Failed to cast to unknown dtype "+t);if(t==="string"&&e.dtype!=="string"||t!=="string"&&e.dtype==="string")throw new Error("Only strings can be casted to strings");var i={x:e},r={dtype:t};return z.runKernelFunc(function(a){return a.cast(e,t)},i,null,ms,r)}var ue=U({cast_:eA});function tA(n){var t=O(n,"x","clone",null),e=function(){return z.makeTensorFromDataId(t.dataId,t.shape,t.dtype)},i={x:t};return z.runKernelFunc(e,i,null,Bl)}var Di=U({clone_:tA});function hm(n,t){t===void 0&&(t=!1),console.log(n.toString(t))}Jf();var nA={buffer:Tn,cast:ue,clone:Di,print:hm};h2(nA);var iA="model",rA=".json",aA=".weights.bin";function dm(n){return new Promise(function(t){return setTimeout(t)}).then(n)}var lc=function(){function n(t){if(!He().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");t.startsWith(n.URL_SCHEME)&&(t=t.slice(n.URL_SCHEME.length)),(t==null||t.length===0)&&(t=iA),this.modelTopologyFileName=t+rA,this.weightDataFileName=t+aA}return n.prototype.save=function(t){return de(this,void 0,void 0,function(){var e,i,r,a,s,o;return pe(this,function(l){switch(l.label){case 0:if(typeof document=="undefined")throw new Error("Browser downloads are not supported in this environment since `document` is not present");if(e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer))return[3,1];throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 1:return i=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:i},a=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:"application/json"})),s=this.jsonAnchor==null?document.createElement("a"):this.jsonAnchor,s.download=this.modelTopologyFileName,s.href=a,[4,dm(function(){return s.dispatchEvent(new MouseEvent("click"))})];case 2:return l.sent(),t.weightData!=null?(o=this.weightDataAnchor==null?document.createElement("a"):this.weightDataAnchor,o.download=this.weightDataFileName,o.href=e,[4,dm(function(){return o.dispatchEvent(new MouseEvent("click"))})]):[3,4];case 3:l.sent(),l.label=4;case 4:return[2,{modelArtifactsInfo:wa(t)}]}})})},n.URL_SCHEME="downloads://",n}(),sA=function(){function n(t){if(t==null||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, "+("but received "+t));this.files=t}return n.prototype.load=function(){return de(this,void 0,void 0,function(){var t,e,i=this;return pe(this,function(r){return t=this.files[0],e=this.files.slice(1),[2,new Promise(function(a,s){var o=new FileReader;o.onload=function(l){var u=JSON.parse(l.target.result),c=u.modelTopology;if(c==null){s(new Error("modelTopology field is missing from file "+t.name));return}e.length===0&&a({modelTopology:c});var h=u.weightsManifest;if(h==null){s(new Error("weightManifest field is missing from file "+t.name));return}var d;try{d=i.checkManifestAndWeightFiles(h,e)}catch(g){s(g);return}var p=[],f=[],m=[];h.forEach(function(g){g.paths.forEach(function(v){f.push(v),m.push(null)}),p.push.apply(p,g.weights)}),h.forEach(function(g){g.paths.forEach(function(v){var b=new FileReader;b.onload=function(w){var S=w.target.result,L=f.indexOf(v);m[L]=S,m.indexOf(null)===-1&&a({modelTopology:c,weightSpecs:p,weightData:ic(m),format:u.format,generatedBy:u.generatedBy,convertedBy:u.convertedBy,userDefinedMetadata:u.userDefinedMetadata})},b.onerror=function(w){return s("Failed to weights data from file of path '"+v+"'.")},b.readAsArrayBuffer(d[v])})})},o.onerror=function(l){return s("Failed to read model topology and weights manifest JSON "+("from file '"+t.name+"'. BrowserFiles supports loading ")+"Keras-style tf.Model artifacts only.")},o.readAsText(t)})]})})},n.prototype.checkManifestAndWeightFiles=function(t,e){for(var i=[],r=e.map(function(u){return rm(u.name)}),a={},s=0,o=t;s<o.length;s++){var l=o[s];l.paths.forEach(function(u){var c=rm(u);if(i.indexOf(c)!==-1)throw new Error("Duplicate file basename found in weights manifest: "+("'"+c+"'"));if(i.push(c),r.indexOf(c)===-1)throw new Error("Weight file with basename '"+c+"' is not provided.");a[u]=e[r.indexOf(c)]})}if(i.length!==e.length)throw new Error("Mismatch in the number of files in weights manifest "+("("+i.length+") and the number of weight files provided ")+("("+e.length+")."));return a},n}(),lA=function(n){return He().getBool("IS_BROWSER")&&(!Array.isArray(n)&&n.startsWith(lc.URL_SCHEME))?oA(n.slice(lc.URL_SCHEME.length)):null};Xt.registerSaveRouter(lA);function oA(n){return n===void 0&&(n="model"),new lc(n)}function uA(n){return new sA(n)}function pm(n,t,e,i){s(n),e=e??0,i=i??1,o(e,i);var r=0,a=function(l){return l.then(function(u){var c=e+ ++r/n.length*(i-e);return t(c),u}),l};function s(l){E(l!=null&&Array.isArray(l)&&l.length>0,function(){return"promises must be a none empty array"})}function o(l,u){E(l>=0&&l<=1,function(){return"Progress fraction must be in range [0, 1], but "+("got startFraction "+l)}),E(u>=0&&u<=1,function(){return"Progress fraction must be in range [0, 1], but "+("got endFraction "+u)}),E(u>=l,function(){return"startFraction must be no more than endFraction, but "+("got startFraction "+l+" and endFraction ")+(""+u)})}return Promise.all(n.map(a))}function fm(n,t){return de(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u,c,h,d;return pe(this,function(p){switch(p.label){case 0:return t==null&&(t={}),e=t.fetchFunc==null?He().platform.fetch:t.fetchFunc,i=n.map(function(f){return e(f,t.requestInit,{isBinary:!0})}),r=0,a=.5,t.onProgress==null?[4,Promise.all(i)]:[3,2];case 1:return o=p.sent(),[3,4];case 2:return[4,pm(i,t.onProgress,r,a)];case 3:o=p.sent(),p.label=4;case 4:return s=o,l=s.map(function(f){return f.arrayBuffer()}),u=.5,c=1,t.onProgress==null?[4,Promise.all(l)]:[3,6];case 5:return d=p.sent(),[3,8];case 6:return[4,pm(l,t.onProgress,u,c)];case 7:d=p.sent(),p.label=8;case 8:return h=d,[2,h]}})})}function cA(n,t,e,i){return t===void 0&&(t=""),de(this,void 0,void 0,function(){var r,a;return pe(this,function(s){return r=function(o){return fm(o,{requestInit:i})},a=mm(r),[2,a(n,t,e)]})})}function mm(n){var t=this;return function(e,i,r){return i===void 0&&(i=""),de(t,void 0,void 0,function(){var a,s,o,l,u,c,h,d,p,f;return pe(this,function(m){switch(m.label){case 0:if(a=e.map(function(){return!1}),s={},o=r!=null?r.map(function(){return!1}):[],l=[],e.forEach(function(g,v){var b=0;g.weights.forEach(function(w){var S="quantization"in w?w.quantization.dtype:w.dtype,L=tc[S]*st(w.shape),x=function(){a[v]=!0,s[v]==null&&(s[v]=[]),s[v].push({manifestEntry:w,groupOffset:b,sizeBytes:L})};r!=null?r.forEach(function(C,R){C===w.name&&(x(),o[R]=!0)}):x(),l.push(w.name),b+=L})}),!o.every(function(g){return g}))throw u=r.filter(function(g,v){return!o[v]}),new Error("Could not find weights in manifest with names: "+(u.join(", ")+`.
|
|
`)+"Manifest JSON has weights with names: "+(l.join(", ")+"."));return c=a.reduce(function(g,v,b){return v&&g.push(b),g},[]),h=[],c.forEach(function(g){e[g].paths.forEach(function(v){var b=i+(i.endsWith("/")?"":"/")+v;h.push(b)})}),[4,n(h)];case 1:return d=m.sent(),p={},f=0,c.forEach(function(g){for(var v=e[g].paths.length,b=0,w=0;w<v;w++)b+=d[f+w].byteLength;for(var S=new ArrayBuffer(b),L=new Uint8Array(S),x=0,C=0;C<v;C++){var R=new Uint8Array(d[f+C]);L.set(R,x),x+=R.byteLength}var D=s[g];D.forEach(function(k){var W=S.slice(k.groupOffset,k.groupOffset+k.sizeBytes),F=nm(W,[k.manifestEntry]);for(var P in F)p[P]=F[P]}),f+=v}),[2,p]}})})}}var hA="application/octet-stream",dA="application/json",gm=function(){function n(t,e){if(this.DEFAULT_METHOD="POST",e==null&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,this.weightUrlConverter=e.weightUrlConverter,e.fetchFunc!=null?(E(typeof e.fetchFunc=="function",function(){return"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"}),this.fetch=e.fetchFunc):this.fetch=He().platform.fetch,E(t!=null&&t.length>0,function(){return"URL path for http must not be null, undefined or empty."}),Array.isArray(t)&&E(t.length===2,function(){return"URL paths for http must have a length of 2, "+("(actual length is "+t.length+").")}),this.path=t,e.requestInit!=null&&e.requestInit.body!=null)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{}}return n.prototype.save=function(t){return de(this,void 0,void 0,function(){var e,i,r,a;return pe(this,function(s){switch(s.label){case 0:if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");return e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit),e.body=new FormData,i=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,userDefinedMetadata:t.userDefinedMetadata,weightsManifest:i},e.body.append("model.json",new Blob([JSON.stringify(r)],{type:dA}),"model.json"),t.weightData!=null&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:hA}),"model.weights.bin"),[4,this.fetch(this.path,e)];case 1:if(a=s.sent(),a.ok)return[2,{modelArtifactsInfo:wa(t),responses:[a]}];throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status "+(a.status+"."))}})})},n.prototype.load=function(){return de(this,void 0,void 0,function(){var t,e,i,r,a,s,o,l,u,c,h,d,p,f,m;return pe(this,function(g){switch(g.label){case 0:return[4,this.fetch(this.path,this.requestInit)];case 1:if(t=g.sent(),!t.ok)throw new Error("Request to "+this.path+" failed with status code "+(t.status+". Please verify this URL points to ")+"the model JSON of the model to load.");g.label=2;case 2:return g.trys.push([2,4,,5]),[4,t.json()];case 3:return e=g.sent(),[3,5];case 4:throw i=g.sent(),r="Failed to parse model JSON of response from "+this.path+".",this.path.endsWith(".pb")?r+=" 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.":r+=" Please make sure the server is serving valid JSON for this request.",new Error(r);case 5:if(a=e.modelTopology,s=e.weightsManifest,o=e.generatedBy,l=e.convertedBy,u=e.format,c=e.userDefinedMetadata,a==null&&s==null)throw new Error("The JSON from HTTP path "+this.path+" contains neither model topology or manifest for weights.");return s!=null?[4,this.loadWeights(s)]:[3,7];case 6:p=g.sent(),h=p[0],d=p[1],g.label=7;case 7:return f={modelTopology:a,weightSpecs:h,weightData:d,userDefinedMetadata:c,generatedBy:o,convertedBy:l,format:u},m=e.modelInitializer,m&&(f.modelInitializer=m),[2,f]}})})},n.prototype.loadWeights=function(t){return de(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,x;return pe(this,function(C){switch(C.label){case 0:for(e=Array.isArray(this.path)?this.path[1]:this.path,i=pA(e),r=i[0],a=i[1],s=this.weightPathPrefix||r,o=[],l=0,u=t;l<u.length;l++)c=u[l],o.push.apply(o,c.weights);for(h=[],d=[],p=0,f=t;p<f.length;p++)for(m=f[p],g=0,v=m.paths;g<v.length;g++)b=v[g],this.weightUrlConverter!=null?d.push(this.weightUrlConverter(b)):h.push(s+b+a);return this.weightUrlConverter?(S=(w=h.push).apply,L=[h],[4,Promise.all(d)]):[3,2];case 1:S.apply(w,L.concat([C.sent()])),C.label=2;case 2:return[4,fm(h,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress})];case 3:return x=C.sent(),[2,[o,ic(x)]]}})})},n.URL_SCHEME_REGEX=/^https?:\/\//,n}();function pA(n){var t=n.lastIndexOf("/"),e=n.lastIndexOf("?"),i=n.substring(0,t),r=e>t?n.substring(e):"";return[i+"/",r]}function uc(n){return n.match(gm.URL_SCHEME_REGEX)!=null}var vm=function(n,t){if(typeof fetch=="undefined"&&(t==null||t.fetchFunc==null))return null;var e=!0;return Array.isArray(n)?e=n.every(function(i){return uc(i)}):e=uc(n),e?cc(n,t):null};Xt.registerSaveRouter(vm);Xt.registerLoadRouter(vm);function cc(n,t){return new gm(n,t)}function fA(n,t){return cc(n,t)}var hc=function(){function n(t){this.modelArtifacts=t}return n.prototype.load=function(){return de(this,void 0,void 0,function(){return pe(this,function(t){return[2,this.modelArtifacts]})})},n}(),mA=function(){function n(t){this.saveHandler=t}return n.prototype.save=function(t){return de(this,void 0,void 0,function(){return pe(this,function(e){return[2,this.saveHandler(t)]})})},n}();function gA(n,t,e,i){if(arguments.length===1){var r=n.modelTopology!=null||n.weightSpecs!=null;return r?new hc(n):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new hc({modelTopology:n}))}else return console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new hc({modelTopology:n,weightSpecs:t,weightData:e,trainingConfig:i})}function vA(n){return new mA(n)}var yA={__proto__:null,browserFiles:uA,browserHTTPRequest:fA,concatenateArrayBuffers:ic,decodeWeights:nm,encodeWeights:T2,fromMemory:gA,getLoadHandlers:W2,getModelArtifactsInfoForJSON:wa,getSaveHandlers:F2,http:cc,isHTTPScheme:uc,loadWeights:cA,registerLoadRouter:k2,registerSaveRouter:D2,weightsLoaderFactory:mm,withSaveHandler:vA,copyModel:$2,listModels:K2,moveModel:X2,removeModel:j2};function bA(n,t){var e=O(n,"x","reshape",null),i={x:e},r={shape:t},a=function(s,o){return t=Wf(t,e.size),E(e.size===st(t),function(){return"new shape and old shape must have the same number of elements."}),o([e]),s.reshape(e,t)};return z.runKernelFunc(a,i,null,ou,r)}var V=U({reshape_:bA});function wA(n,t,e,i){var r;e===void 0&&(e=!1),i===void 0&&(i=!1);var a=O(n,"a","matMul"),s=O(t,"b","matMul");r=rt(a,s),a=r[0],s=r[1],E(a.rank>=2&&s.rank>=2&&a.rank===s.rank,function(){return"Error in matMul: inputs must have the same rank of at least 2, "+("got ranks "+a.rank+" and "+s.rank+".")});var o=e?a.shape[a.rank-2]:a.shape[a.rank-1],l=i?s.shape[s.rank-1]:s.shape[s.rank-2],u=e?a.shape[a.rank-1]:a.shape[a.rank-2],c=i?s.shape[s.rank-2]:s.shape[s.rank-1],h=a.shape.slice(0,-2),d=s.shape.slice(0,-2),p=st(h),f=st(d);E(rn(h,d),function(){return"Error in matMul: outer dimensions ("+h+") and ("+(d+") of Tensors with shapes "+a.shape+" and ")+(s.shape+" must match.")}),E(o===l,function(){return"Error in matMul: inner shapes ("+o+") and ("+(l+") of Tensors with shapes "+a.shape+" and ")+(s.shape+" and transposeA="+e)+(" and transposeB="+i+" must match.")});var m=a.shape.slice(0,-2).concat([u,c]),g=e?V(a,[p,o,u]):V(a,[p,u,o]),v=i?V(s,[f,c,l]):V(s,[f,l,c]),b=function(x,C){return C([g,v]),x.batchMatMul(g,v,e,i)},w={a:g,b:v},S={transposeA:e,transposeB:i},L=z.runKernelFunc(b,w,null,pl,S);return V(L,m)}var Fe=U({matMul_:wA});function SA(n,t,e,i){if(e===void 0&&(e=1),i===void 0&&(i=0),t<2)throw new Error("Error in oneHot: depth must be >=2, but it is "+t);var r=O(n,"indices","oneHot","int32"),a=r.shape.concat([t]),s=function(u,c){return c([r]),V(u.oneHot(V(r,[r.size]),t,e,i),a)},o={indices:r},l={depth:t,onValue:e,offValue:i};return z.runKernelFunc(s,o,null,tu,l)}var Ns=U({oneHot_:SA});function LA(n,t){var e=O(n,"x","transpose");if(t==null&&(t=e.shape.map(function(a,s){return s}).reverse()),E(e.rank===t.length,function(){return"Error in transpose: rank of input "+e.rank+" "+("must match length of perm "+t+".")}),t.forEach(function(a){E(a>=0&&a<e.rank,function(){return"All entries in 'perm' must be between 0 and "+(e.rank-1)+(" but got "+t)})}),e.rank<=1)return e.clone();var i={x:e},r={perm:t};return z.runKernelFunc(function(a){return a.transpose(e,t)},i,null,Du,r)}var lt=U({transpose_:LA});function IA(n,t,e){var i=O(n,"labels","confusionMatrix"),r=O(t,"predictions","confusionMatrix");E(e==null||e>0&&Number.isInteger(e),function(){return"If provided, numClasses must be a positive integer, "+("but got "+e)}),E(i.rank===1,function(){return"Expected the rank of labels to be 1, but got "+i.rank}),E(r.rank===1,function(){return"Expected the rank of predictions to be 1, "+("but got "+r.rank)}),E(i.shape[0]===r.shape[0],function(){return"Mismatch in the number of examples: "+(i.shape[0]+" vs. "+r.shape[0]+". ")+"Labels and predictions should have the same number of elements."}),E(e>0&&Number.isInteger(e),function(){return"numClasses is required to be a positive integer, but got "+(""+e)});var a=Ns(ue(i,"int32"),e),s=Ns(ue(r,"int32"),e),o=lt(a);return ue(Fe(o,s),"int32")}var AA=U({confusionMatrix_:IA});var TA={__proto__:null,confusionMatrix:AA};function ym(n,t,e){if(Ri(n),t!=null&&t.length!==3)throw new Error("tensor3d() requires shape to have three numbers");var i=An(n,e);if(i.length!==3&&i.length!==1)throw new Error("tensor3d() requires values to be number[][][] or flat/TypedArray");if(i.length===1&&t==null)throw new Error("tensor3d() requires shape to be provided when `values` are a flat array");return ni(n,t,i,e)}var Ar;function NA(n,t){if(t===void 0&&(t=3),t>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");if(n==null)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var e=!1,i=!1,r=!1,a=!1,s=!1;if(n.data instanceof Uint8Array)e=!0;else if(typeof ImageData!="undefined"&&n instanceof ImageData)i=!0;else if(typeof HTMLVideoElement!="undefined"&&n instanceof HTMLVideoElement)r=!0;else if(typeof HTMLImageElement!="undefined"&&n instanceof HTMLImageElement)a=!0;else if(n.getContext!=null)s=!0;else throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, "+("but was "+n.constructor.name));if(r){var o=2;if(r&&n.readyState<o)throw new Error("The video element has not loaded data yet. Please wait for `loadeddata` event on the <video> element.")}var l=Hu(Bu,z.backendName);if(l!=null){var u={pixels:n},c={numChannels:t};return z.runKernel(Bu,u,c)}var h=r?[n.videoWidth,n.videoHeight]:[n.width,n.height],d=h[0],p=h[1],f;s?f=n.getContext("2d").getImageData(0,0,d,p).data:i||e?f=n.data:(a||r)&&(Ar==null&&(Ar=document.createElement("canvas").getContext("2d")),Ar.canvas.width=d,Ar.canvas.height=p,Ar.drawImage(n,0,0,d,p),f=Ar.getImageData(0,0,d,p).data);var m;if(t===4)m=new Int32Array(f);else{var g=d*p;m=new Int32Array(g*t);for(var v=0;v<g;v++)for(var b=0;b<t;++b)m[v*t+b]=f[v*4+b]}var w=[p,d,t];return ym(m,w,"int32")}function xA(n,t){return de(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u,c,h,d,p,f,m,g,v;return pe(this,function(b){switch(b.label){case 0:if(e=O(n,"img","toPixels"),n instanceof Y||(i=e,e=ue(i,"int32"),i.dispose()),e.rank!==2&&e.rank!==3)throw new Error("toPixels only supports rank 2 or 3 tensors, got rank "+e.rank+".");if(r=e.shape.slice(0,2),a=r[0],s=r[1],o=e.rank===2?1:e.shape[2],o>4||o===2)throw new Error("toPixels only supports depth of size "+("1, 3 or 4 but got "+o));if(e.dtype!=="float32"&&e.dtype!=="int32")throw new Error("Unsupported type for toPixels: "+e.dtype+". Please use float32 or int32 tensors.");return[4,e.data()];case 1:for(l=b.sent(),u=e.dtype==="float32"?255:1,c=new Uint8ClampedArray(s*a*4),h=0;h<a*s;++h){for(d=[0,0,0,255],p=0;p<o;p++){if(f=l[h*o+p],e.dtype==="float32"){if(f<0||f>1)throw new Error("Tensor values for a float32 Tensor must be in the "+("range [0 - 1] but encountered "+f+"."))}else if(e.dtype==="int32"&&(f<0||f>255))throw new Error("Tensor values for a int32 Tensor must be in the "+("range [0 - 255] but encountered "+f+"."));o===1?(d[0]=f*u,d[1]=f*u,d[2]=f*u):d[p]=f*u}m=h*4,c[m+0]=Math.round(d[0]),c[m+1]=Math.round(d[1]),c[m+2]=Math.round(d[2]),c[m+3]=Math.round(d[3])}return t!=null&&(t.width=s,t.height=a,g=t.getContext("2d"),v=new ImageData(c,s,a),g.putImageData(v,0,0)),e!==n&&e.dispose(),[2,c]}})})}var CA=U({fromPixels_:NA}),RA={__proto__:null,toPixels:xA,fromPixels:CA};function bm(n,t){if(n.rank<1)throw new Error("tf.gatherND() expects the input to be rank 1 or higher,"+(" but the rank was "+n.rank+"."));if(t.rank<1)throw new Error("tf.gatherND() expects the indices to be rank 1 or higher,"+(" but the rank was "+t.rank+"."));if(t.dtype!=="int32")throw new Error("tf.gatherND() expects the indices to be int32 type,"+(" but the dtype was "+t.dtype+"."));if(t.shape[t.rank-1]>n.rank)throw new Error("index innermost dimension length must be <= tensor rank; saw: "+(t.shape[t.rank-1]+" vs. "+n.rank));if(n.size===0)throw new Error("Requested more than 0 entries, but input is empty."+(" Input shape: "+n.shape+"."));for(var e=t.shape,i=e[e.length-1],r=1,a=0;a<e.length-1;++a)r*=e[a];var s=n.shape,o=e.slice();o.pop();for(var l=1,a=i;a<n.rank;++a)l*=s[a],o.push(s[a]);var u=gr(n.shape).map(function(c){return c/l}).concat([1]).slice(0,i);return[o,r,l,u]}var OA={__proto__:null,prepareAndValidate:bm};function dc(n,t,e){var i=t.rank>1?t.shape[t.rank-1]:1,r=t.rank>1?t.rank-1:1,a="Must have updates.shape = indices.shape[:batchDim] + "+("shape[sliceDim:], got updates.shape: "+e.shape)+(", indices.shape: "+t.shape+", shape: "+n)+(", sliceDim: "+i+", and batchDim: "+r+".");if(e.rank<r)throw new Error(a+(" update.rank < "+r+". "));if(n.length<i+(e.rank-r))throw new Error(a+(" Output shape length < "+(i+(e.rank-r))));if(e.rank!==r+n.length-i)throw new Error(a+(" update.rank != "+(r+n.length-i)));for(var s=0;s<r;++s)if(e.shape[s]!==t.shape[s])throw new Error(a+(" updates.shape["+s+"] ("+e.shape[s]+") != indices.shape["+s+"] ("+t.shape[s]+")."));for(var s=0;s<e.rank-r;++s)if(e.shape[s+r]!==n[s+i])throw new Error(a+(" updates.shape["+(s+r)+"] ("+e.shape[s+r]+") != shape["+(s+r)+"] ("+n[s+r]+")"))}function pc(n,t,e){if(t.rank<1)throw new Error("tf.scatterND() expects the indices to be rank 1 or higher,"+(" but the rank was "+t.rank+"."));if(n.rank<1)throw new Error("tf.scatterND() expects the updates to be rank 1 or higher,"+(" but the rank was "+n.rank+"."));if(t.dtype!=="int32")throw new Error("The dtype of 'indices' should be int32, but got dtype: "+t.dtype);if(e.length<1)throw new Error("Output rank must be greater or equal to 1, but got shape: "+e);if(e.length===0){if(t.size===0)throw new Error("Indices specified for empty output. indices shape: "+t.shape);if(n.size===0)throw new Error("Updates specified for empty output. updates shape: "+n.shape)}dc(e,t,n)}function wm(n,t,e){for(var i=t.shape.length,r=i>1?t.shape[i-1]:1,a=e.length,s=1,o=r;o<a;++o)s*=e[o];var l=r<1?1:r,u=st(t.shape)/l,c=gr(e.slice(0,r)).concat([1]),h=st(e);return{sliceRank:r,numUpdates:u,sliceSize:s,strides:c,outputSize:h}}var EA={__proto__:null,validateUpdateShape:dc,validateInput:pc,calculateShapes:wm};function Sm(n,t,e){var i=n.shape.length;E(i===t.length,function(){return"Error in slice"+i+"D: Length of begin "+t+" must "+("match the rank of the array ("+i+").")}),E(i===e.length,function(){return"Error in slice"+i+"D: Length of size "+e+" must "+("match the rank of the array ("+i+").")});for(var r=function(s){E(t[s]+e[s]<=n.shape[s],function(){return"Error in slice"+i+"D: begin["+s+"] + size["+s+"] "+("("+(t[s]+e[s])+") would overflow input.shape["+s+"] ("+n.shape[s]+")")})},a=0;a<i;++a)r(a)}function xs(n){for(var t=[],e=0;n>0;)n&1&&t.push(e),n/=2,e++;return t}function Lm(n,t,e){for(var i=[],r=0;r<n.length;r++)i[r]=Math.ceil((t[r]-n[r])/e[r]);return i}function Im(n,t,e,i){for(var r=n.slice(),a=r.length;a<i.length;a++)r.push(1);for(var a=0;a<e;a++)a===0?r[t]=1:(r.splice(t,0,1),r.pop());return r}function Am(n,t,e){return e<=n?e:e-(t-1)}function Tm(n,t){for(var e=[],i=0;i<n;i++)e.push(t+i);return e}function Em(n,t,e,i,r,a,s,o,l){var u=n.length,c=new Array(u),h=new Array(u),d=new Array(u);if(t.length&&e>0){var p=t[0],f=e+1;c=Nm(s,p,f,i,n),h=xm(o,p,f,r,n),d=Im(a,p,f,n)}else for(var m=0;m<u;m++)c[m]=Rm(s,i,a,n,m,l),h[m]=Om(o,r,a,n,m,l),d[m]=Cm(a,m,l);return{begin:c,end:h,strides:d}}function Nm(n,t,e,i,r){for(var a=r.slice(),s=Tm(e,t),o=0;o<a.length;o++)if(s.indexOf(o)>-1)a[o]=0;else{var l=Am(t,e,o),u=i[l];n&1<<l&&(u=0),a[o]=u}return a}function xm(n,t,e,i,r){for(var a=r.slice(),s=Tm(e,t),o=0;o<a.length;o++)if(s.indexOf(o)>-1)a[o]=Number.MAX_SAFE_INTEGER;else{var l=Am(t,e,o),u=i[l];n&1<<l&&(u=Number.MAX_SAFE_INTEGER),a[o]=u}for(var c=0;c<a.length;c++){var h=r[c];a[c]<0&&(a[c]+=h),a[c]=pa(0,a[c],r[c])}return a}function Cm(n,t,e){var i=n[t];return(e&1<<t||i==null)&&(i=1),i}function Rm(n,t,e,i,r,a){var s=t[r],o=e[r]||1;(n&1<<r||a&1<<r||s==null)&&(o>0?s=Number.MIN_SAFE_INTEGER:s=Number.MAX_SAFE_INTEGER);var l=i[r];return s<0&&(s+=l),s=pa(0,s,l-1),s}function Om(n,t,e,i,r,a){var s=t[r],o=e[r]||1;(n&1<<r||a&1<<r||s==null)&&(o>0?s=Number.MAX_SAFE_INTEGER:s=Number.MIN_SAFE_INTEGER);var l=i[r];return s<0&&(s+=l),o>0?s=pa(0,s,l):s=pa(-1,s,l-1),s}function DA(n,t,e){for(var i=e.length,r=0;r<e.length;r++)if(e[r]>1){i=r;break}for(var r=i+1;r<e.length;r++)if(t[r]>0||e[r]!==n[r])return!1;return!0}function kA(n,t){for(var e=n.length>0?n[n.length-1]:1,i=0;i<n.length-1;i++)e+=n[i]*t[i];return e}function fc(n,t,e){var i,r=n.shape.length;typeof t=="number"?i=[t].concat(new Array(r-1).fill(0)):t.length<r?i=t.concat(new Array(r-t.length).fill(0)):i=t.slice(),i.forEach(function(s){E(s!==-1,function(){return"slice() does not support negative begin indexing."})});var a;return e==null?a=new Array(r).fill(-1):typeof e=="number"?a=[e].concat(new Array(r-1).fill(-1)):e.length<r?a=e.concat(new Array(r-e.length).fill(-1)):a=e,a=a.map(function(s,o){return s>=0?s:(E(s===-1,function(){return"Negative size values should be exactly -1 but got "+(s+" for the slice() size at index "+o+".")}),n.shape[o]-i[o])}),[i,a]}var Dm={__proto__:null,assertParamsValid:Sm,maskToAxes:xs,computeOutShape:Lm,stridesWithElidedDims:Im,getNormalizedAxes:Em,startIndicesWithElidedDims:Nm,stopIndicesWithElidedDims:xm,stridesForAxis:Cm,startForAxis:Rm,stopForAxis:Om,isSliceContinous:DA,computeFlatOffset:kA,parseSliceParams:fc};var km=function(){function n(){}return n.prototype.getClassName=function(){return this.constructor.className},n.fromConfig=function(t,e){return new t(e)},n}(),Fm=function(){function n(){this.classNameMap={}}return n.getMap=function(){return n.instance==null&&(n.instance=new n),n.instance},n.register=function(t){n.getMap().classNameMap[t.className]=[t,t.fromConfig]},n}();function si(n){E(n.className!=null,function(){return"Class being registered does not have the static className property defined."}),E(typeof n.className=="string",function(){return"className is required to be a string, but got type "+typeof n.className}),E(n.className.length>0,function(){return"Class being registered has an empty-string as its className, which is disallowed."}),Fm.register(n)}var FA={__proto__:null,Serializable:km,SerializationMap:Fm,registerClass:si};var WA=.001,Wm=.1;function UA(n,t,e){return e==null&&(e=mc()),gc(n,t,function(i,r){return vc(i,r,e)})}function mc(){return z.backend.floatPrecision()===32?WA:Wm}function gc(n,t,e){var i=!0;if((Rt(n)||Rt(t))&&(i=!1),Rt(n)&&Rt(t)&&(i=!0),i){var r=n.constructor.name,a=t.constructor.name;if(r!==a)throw new Error("Arrays are of different type. Actual: "+r+". "+("Expected: "+a))}if(Array.isArray(n)&&Array.isArray(t)){var s=An(n),o=An(t);if(!rn(s,o))throw new Error("Arrays have different shapes. "+("Actual: ["+s+"]. Expected: ["+o+"]"))}var l=Rt(n)?n:Oi(n),u=Rt(t)?t:Oi(t);if(l.length!==u.length)throw new Error("Arrays have different lengths actual: "+l.length+" vs "+("expected: "+u.length+`.
|
|
`)+("Actual: "+l+`.
|
|
`)+("Expected: "+u+"."));for(var c=0;c<u.length;++c){var h=l[c],d=u[c];if(!e(h,d))throw new Error("Arrays differ: actual["+c+"] = "+h+", expected["+c+"] = "+d+`.
|
|
`+("Actual: "+l+`.
|
|
`)+("Expected: "+u+"."))}}function BA(n,t){n().then(function(){return t.fail()},function(){return t()})}function zA(n,t){var e=typeof t=="string"||typeof t=="number"||typeof t=="boolean"?[t]:t;return Qn(n)||Qn(n[0])||Qn(t)||Qn(t[0])?gc(n,e,function(i,r){return i==r}):gc(n,t,function(i,r){return vc(i,r,0)})}function PA(n,t,e){if(e==null&&(e=mc()),!vc(n,t,e))throw new Error("Numbers differ: actual === "+n+", expected === "+t)}function vc(n,t,e){return!isFinite(n)&&!isFinite(t)?!0:!(isNaN(n)||isNaN(t)||Math.abs(n-t)>e)}function _A(n,t,e){for(var i=0;i<n.length;i++)if(n[i]<t||n[i]>e)throw new Error("Value out of range:"+n[i]+" low: "+t+", high: "+e)}function MA(n,t){expect(new Float32Array(n)).toEqual(new Float32Array(t))}var HA={__proto__:null,TEST_EPSILON_FLOAT16:Wm,expectArraysClose:UA,testEpsilon:mc,expectPromiseToFail:BA,expectArraysEqual:zA,expectNumbersClose:PA,expectValuesInRange:_A,expectArrayBuffersEqual:MA};var VA="2.6.0";function qA(){He().set("PROD",!0)}function GA(){He().set("DEBUG",!0)}function YA(){He().set("DEPRECATION_WARNINGS_ENABLED",!1),console.warn("TensorFlow.js deprecation warnings have been disabled.")}function Lt(n){He().getBool("DEPRECATION_WARNINGS_ENABLED")&&console.warn(n+" You can disable deprecation warnings with tf.disableDeprecationWarnings().")}function KA(){z.disposeVariables()}function jA(){return z}function $A(){return z.memory()}function XA(n){return z.profile(n)}function pt(n,t){return z.tidy(n,t)}function Wt(n){var t=ec(n);t.forEach(function(e){return e.dispose()})}function Um(n){return z.keep(n)}function JA(n){return z.time(n)}function ZA(n){return z.setBackend(n)}function QA(){return z.ready()}function eT(){return z.backendName}function tT(n){z.removeBackend(n)}function nT(n){return z.findBackend(n)}function iT(n){return z.findBackendFactory(n)}function rT(n,t,e){return e===void 0&&(e=1),z.registerBackend(n,t,e)}function aT(){return z.backend}function sT(n,t){He().setPlatform(n,t)}function oT(n,t){var e,i=O(n,"a","add"),r=O(t,"b","add");e=rt(i,r),i=e[0],r=e[1];var a=function(o,l){var u=o.add(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,fs)}var fe=U({add_:oT});function lT(n,t){var e,i=O(n,"a","floorDiv"),r=O(t,"b","floorDiv");e=rt(i,r),i=e[0],r=e[1];var a=function(o,l){var u=o.floorDiv(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,kl)}var yc=U({floorDiv_:lT});function uT(n,t){var e,i=O(n,"a","div"),r=O(t,"b","div");if(e=rt(i,r),i=e[0],r=e[1],i.dtype==="int32"&&r.dtype==="int32")return yc(i,r);var a=function(l,u){var c=l.realDivide(i,r);return u([i,r]),c},s={a:i,b:r},o={};return z.runKernelFunc(a,s,null,xl,o)}var Ie=U({div_:uT});function cT(n,t){var e,i=O(n,"a","mul"),r=O(t,"b","mul");e=rt(i,r),i=e[0],r=e[1];var a=function(o,l){var u=o.multiply(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,Zl)}var J=U({mul_:cT});function hT(n){var t=O(n,"x","abs"),e={x:t};return z.runKernelFunc(function(i,r){return r([t]),t.dtype==="complex64"?i.complexAbs(t):i.abs(t)},e,null,el)}var Ht=U({abs_:hT});function dT(n){var t=O(n,"x","acos"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.acos(t);return r([t]),a},e,null,tl)}var Bm=U({acos_:dT});function pT(n){var t=O(n,"x","acosh"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.acosh(t);return r([t]),a},e,null,nl)}var zm=U({acosh_:pT});function fT(n){E(Array.isArray(n),function(){return"The argument passed to tf.addN() must be a list of tensors"}),E(n.length>=1,function(){return"Must pass at least one tensor to tf.addN(), but got "+(""+n.length)});var t=n.map(function(a,s){return O(a,"tensors"+s,"addN")}),e=t[0];t.forEach(function(a){if(a.dtype!==e.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),t.forEach(function(a){if(!rn(a.shape,e.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});var i=function(a,s){var o=a.addN(t);return s(t),o},r=t;return z.runKernelFunc(i,r,null,il)}var mT=U({addN_:fT});function bc(n,t){for(var e=0;e<n.length;++e)if(n[n.length-e-1]!==t-1-e)return!1;return!0}function Pm(n,t,e){for(var i=n.length+t.length,r=[],a=0,s=0,o=0;o<i;o++)e.indexOf(o)===-1?r.push(n[a++]):r.push(t[s++]);return r}function _m(n,t){for(var e=[],i=n.length,r=0;r<i;r++)t.indexOf(r)===-1&&e.push(n[r]);var a=t.map(function(s){return n[s]});return[e,a]}function Jt(n,t){var e=t.map(function(i){return 1});return Pm(n,e,t)}function gT(n,t,e){E(bc(t,e),function(){return n+" supports only inner-most axes for now. "+("Got axes "+t+" and rank-"+e+" input.")})}function Zt(n,t){if(bc(n,t))return null;for(var e=[],i=0;i<t;++i)n.indexOf(i)===-1&&e.push(i);return n.forEach(function(r){return e.push(r)}),e}function Cs(n){return n.map(function(t,e){return[e,t]}).sort(function(t,e){return t[1]-e[1]}).map(function(t){return t[0]})}function Nn(n,t){for(var e=[],i=t-n;i<t;++i)e.push(i);return e}function vT(n,t,e){t===void 0&&(t=null),e===void 0&&(e=!1);var i=O(n,"x","all","bool"),r=function(o){var l=Ze(t,i.shape),u=l,c=Zt(u,i.rank);c!=null&&(i=lt(i,c),u=Nn(u.length,i.rank));var h=o.all(i,u);if(e){var d=Jt(h.shape,l);return V(h,d)}return h},a={x:i},s={axis:t,keepDims:e};return z.runKernelFunc(r,a,null,Wp,s)}var Mm=U({all_:vT});function yT(n,t,e){t===void 0&&(t=null),e===void 0&&(e=!1);var i=O(n,"x","any","bool"),r=function(o){var l=Ze(t,i.shape),u=l,c=Zt(u,i.rank);c!=null&&(i=lt(i,c),u=Nn(u.length,i.rank));var h=o.any(i,u);if(e){var d=Jt(h.shape,l);return V(h,d)}return h},a={x:i},s={axis:t,keepDims:e};return z.runKernelFunc(r,a,null,Up,s)}var Hm=U({any_:yT});function bT(n,t){t===void 0&&(t=0);var e=O(n,"x","argMax"),i=function(s,o){o([e]);var l=Ze(t,e.shape),u=Zt(l,e.rank);return u!=null&&(e=lt(e,u),l=Nn(l.length,e.rank)),s.argMax(e,l[0])},r={x:e},a={axis:t};return z.runKernelFunc(i,r,null,rl,a)}var Vm=U({argMax_:bT});function wT(n,t){t===void 0&&(t=0);var e=O(n,"x","argMin"),i=function(s,o){o([e]),t==null&&(t=0);var l=Ze(t,e.shape),u=Zt(l,e.rank);return u!=null&&(e=lt(e,u),l=Nn(l.length,e.rank)),s.argMin(e,l[0])},r={x:e},a={axis:t};return z.runKernelFunc(i,r,null,al,a)}var qm=U({argMin_:wT});function ST(n){var t=O(n,"x","asin"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.asin(t);return r([t]),a},e,null,sl)}var Gm=U({asin_:ST});function LT(n){var t=O(n,"x","asinh"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.asinh(t);return r([t]),a},e,null,ol)}var Ym=U({asinh_:LT});function IT(n){var t=O(n,"x","atan"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.atan(t);return r([t]),a},e,null,ll)}var Km=U({atan_:IT});function AT(n,t){var e,i=O(n,"a","atan2"),r=O(t,"b","atan2");e=rt(i,r),i=e[0],r=e[1];var a=function(o,l){var u=o.atan2(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,cl)}var jm=U({atan2_:AT});function TT(n){var t=O(n,"x","atanh"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.atanh(t);return r([t]),a},e,null,ul)}var $m=U({atanh_:TT});function NT(n,t,e,i,r,a){r===void 0&&(r="NHWC");var s=n[3],o=t.concat([s]),l=Sa(r);return xn(n,o,e,a,i,null,null,l)}function Tr(n,t,e,i,r,a,s){s===void 0&&(s="channelsLast");var o=Rs(t),l=o[0],u=o[1],c;if(s==="channelsLast")c=[l,u,n[3],n[3]];else if(s==="channelsFirst")c=[l,u,n[1],n[1]];else throw new Error("Unknown dataFormat "+s);return xn(n,c,e,i,r,a,!1,s)}function Ia(n,t,e,i,r,a,s){s===void 0&&(s="NDHWC");var o=wc(t),l=o[0],u=o[1],c=o[2],h,d;if(s==="NDHWC")d="channelsLast",h=[l,u,c,n[4],n[4]];else if(s==="NCDHW")d="channelsFirst",h=[l,u,c,n[1],n[1]];else throw new Error("Unknown dataFormat "+s);return La(n,h,e,i,r,!1,d,a)}function xn(n,t,e,i,r,a,s,o){s===void 0&&(s=!1),o===void 0&&(o="channelsLast");var l=[-1,-1,-1,-1],u=l[0],c=l[1],h=l[2],d=l[3];if(o==="channelsLast")u=n[0],c=n[1],h=n[2],d=n[3];else if(o==="channelsFirst")u=n[0],d=n[1],c=n[2],h=n[3];else throw new Error("Unknown dataFormat "+o);var p=t[0],f=t[1],m=t[3],g=Rs(e),v=g[0],b=g[1],w=Rs(i),S=w[0],L=w[1],x=Nr(p,S),C=Nr(f,L),R=xT(r,c,h,v,b,x,C,a,o),D=R.padInfo,k=R.outHeight,W=R.outWidth,F=s?m*d:m,P;return o==="channelsFirst"?P=[u,F,k,W]:o==="channelsLast"&&(P=[u,k,W,F]),{batchSize:u,dataFormat:o,inHeight:c,inWidth:h,inChannels:d,outHeight:k,outWidth:W,outChannels:F,padInfo:D,strideHeight:v,strideWidth:b,filterHeight:p,filterWidth:f,effectiveFilterHeight:x,effectiveFilterWidth:C,dilationHeight:S,dilationWidth:L,inShape:n,outShape:P,filterShape:t}}function La(n,t,e,i,r,a,s,o){a===void 0&&(a=!1),s===void 0&&(s="channelsLast");var l=[-1,-1,-1,-1,-1],u=l[0],c=l[1],h=l[2],d=l[3],p=l[4];if(s==="channelsLast")u=n[0],c=n[1],h=n[2],d=n[3],p=n[4];else if(s==="channelsFirst")u=n[0],p=n[1],c=n[2],h=n[3],d=n[4];else throw new Error("Unknown dataFormat "+s);var f=t[0],m=t[1],g=t[2],v=t[4],b=wc(e),w=b[0],S=b[1],L=b[2],x=wc(i),C=x[0],R=x[1],D=x[2],k=Nr(f,C),W=Nr(m,R),F=Nr(g,D),P=CT(r,c,h,d,w,S,L,k,W,F,o),H=P.padInfo,_=P.outDepth,K=P.outHeight,j=P.outWidth,q=a?v*p:v,G;return s==="channelsFirst"?G=[u,q,_,K,j]:s==="channelsLast"&&(G=[u,_,K,j,q]),{batchSize:u,dataFormat:s,inDepth:c,inHeight:h,inWidth:d,inChannels:p,outDepth:_,outHeight:K,outWidth:j,outChannels:q,padInfo:H,strideDepth:w,strideHeight:S,strideWidth:L,filterDepth:f,filterHeight:m,filterWidth:g,effectiveFilterDepth:k,effectiveFilterHeight:W,effectiveFilterWidth:F,dilationDepth:C,dilationHeight:R,dilationWidth:D,inShape:n,outShape:G,filterShape:t}}function RT(n,t,e,i,r){i==null&&(i=Sc(n,t,e));var a=n[0],s=n[1],o=ki((a-t+2*i)/e+1,r);E(it(o),function(){return"The output # of rows ("+o+") must be an integer. Change the stride and/or zero pad parameters"});var l=ki((s-t+2*i)/e+1,r);return E(it(l),function(){return"The output # of columns ("+l+") must be an integer. Change the stride and/or zero pad parameters"}),[o,l]}function OT(n,t,e,i,r,a){r==null&&(r=Sc(n,t,i));var s=n[0],o=n[1],l=n[2],u=ki((s-t+2*r)/i+1,a);E(it(u),function(){return"The output # of depths ("+u+") must be an integer. Change the stride and/or zero pad parameters"});var c=ki((o-t+2*r)/i+1,a);E(it(c),function(){return"The output # of rows ("+c+") must be an integer. Change the stride and/or zero pad parameters"});var h=ki((l-t+2*r)/i+1,a);return E(it(h),function(){return"The output # of columns ("+h+") must be an integer. Change the stride and/or zero pad parameters"}),[u,c,h,e]}function Sc(n,t,e,i){i===void 0&&(i=1);var r=Nr(t,i);return Math.floor((n[0]*(e-1)-e+r)/2)}function Rs(n){return typeof n=="number"?[n,n,n]:n.length===2?[n[0],n[1],1]:n}function wc(n){return typeof n=="number"?[n,n,n]:n}function Nr(n,t){return t<=1?n:n+(n-1)*(t-1)}function xT(n,t,e,i,r,a,s,o,l){var u,c,h;if(typeof n=="number"){var d=n===0?"VALID":"NUMBER";u={top:n,bottom:n,left:n,right:n,type:d};var p=RT([t,e],a,i,n,o);c=p[0],h=p[1]}else if(n==="same"){c=Math.ceil(t/i),h=Math.ceil(e/r);var f=Math.max(0,(c-1)*i+a-t),m=Math.max(0,(h-1)*r+s-e),g=Math.floor(f/2),v=f-g,b=Math.floor(m/2),w=m-b;u={top:g,bottom:v,left:b,right:w,type:"SAME"}}else if(n==="valid")u={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((t-a+1)/i),h=Math.ceil((e-s+1)/r);else if(typeof n=="object"){var S=l==="channelsLast"?n[1][0]:n[2][0],v=l==="channelsLast"?n[1][1]:n[2][1],b=l==="channelsLast"?n[2][0]:n[3][0],w=l==="channelsLast"?n[2][1]:n[3][1],d=S===0&&v===0&&b===0&&w===0?"VALID":"EXPLICIT";u={top:S,bottom:v,left:b,right:w,type:d},c=ki((t-a+S+v)/i+1,o),h=ki((e-s+b+w)/r+1,o)}else throw Error("Unknown padding parameter: "+n);return{padInfo:u,outHeight:c,outWidth:h}}function CT(n,t,e,i,r,a,s,o,l,u,c){var h,d,p,f;if(typeof n=="number"){var m=n===0?"VALID":"NUMBER";h={top:n,bottom:n,left:n,right:n,front:n,back:n,type:m};var g=OT([t,e,i,1],o,1,r,n,c);d=g[0],p=g[1],f=g[2]}else if(n==="same"){d=Math.ceil(t/r),p=Math.ceil(e/a),f=Math.ceil(i/s);var v=(d-1)*r+o-t,b=(p-1)*a+l-e,w=(f-1)*s+u-i,S=Math.floor(v/2),L=v-S,x=Math.floor(b/2),C=b-x,R=Math.floor(w/2),D=w-R;h={top:x,bottom:C,left:R,right:D,front:S,back:L,type:"SAME"}}else if(n==="valid")h={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},d=Math.ceil((t-o+1)/r),p=Math.ceil((e-l+1)/a),f=Math.ceil((i-u+1)/s);else throw Error("Unknown padding parameter: "+n);return{padInfo:h,outDepth:d,outHeight:p,outWidth:f}}function ki(n,t){if(!t)return n;switch(t){case"round":return Math.round(n);case"ceil":return Math.ceil(n);case"floor":return Math.floor(n);default:throw new Error("Unknown roundingMode "+t)}}function oi(n){var t=Rs(n),e=t[0],i=t[1],r=t[2];return e===1&&i===1&&r===1}function Ut(n,t){return oi(n)||oi(t)}function Sa(n){if(n==="NHWC")return"channelsLast";if(n==="NCHW")return"channelsFirst";throw new Error("Unknown dataFormat "+n)}function ET(n,t,e,i,r){var a=O(n,"x","avgPool","float32"),s=1;E(Ut(e,s),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+e+" and dilations '"+s+"'")});var o=a,l=!1;a.rank===3&&(l=!0,o=V(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(o.rank===4,function(){return"Error in avgPool: x must be rank 4 but got rank "+o.rank+"."}),r!=null&&E(it(i),function(){return"Error in avgPool: pad must be an integer when using, "+("dimRoundingMode "+r+" but got pad "+i+".")});var u=function(p,f){var m=Tr(o.shape,t,e,1,i,r);return f([o]),m.filterWidth===1&&m.filterHeight===1&&rn(m.inShape,m.outShape)?o.clone():p.avgPool(o,m)},c={x:o},h={filterSize:t,strides:e,pad:i,dimRoundingMode:r},d=z.runKernelFunc(u,c,null,hl,h);return d=ue(d,a.dtype),l?V(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var Lc=U({avgPool_:ET});function DT(n,t,e,i,r,a,s){a===void 0&&(a="NDHWC"),s==null?s=[1,1,1]:Lt("dilations is deprecated, this field will be gone in v3.0.0.");var o=O(n,"x","avgPool3d","float32"),l=o,u=!1;o.rank===4&&(u=!0,l=V(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),E(l.rank===5,function(){return"Error in avgPool3d: x must be rank 5 but got rank "+l.rank+"."}),E(a==="NDHWC",function(){return"Error in avgPool3d: Only NDHWC is currently supported, "+("but got dataFormat of "+a)}),E(Ut(e,s),function(){return"Error in avgPool3d: Either strides or dilations must be 1. "+("Got strides "+e+" and dilations '"+s+"'")}),r!=null&&E(it(i),function(){return"Error in avgPool3d: pad must be an integer when using, "+("dimRoundingMode "+r+" but got pad "+i+".")});var c=function(f,m){s==null&&(s=[1,1,1]);var g=Ia(l.shape,t,e,s,i,r,a);return m([l]),f.avgPool3d(l,g)},h={x:l},d={filterSize:t,strides:e,pad:i,dimRoundingMode:r,dataFormat:a,dilations:s},p=z.runKernelFunc(c,h,null,dl,d);return p=ue(p,l.dtype),u?V(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var kT=U({avgPool3d_:DT});function Xm(n,t){var e=n[0].length;n.forEach(function(r,a){E(r.length===e,function(){return"Error in concat"+e+"D: rank of tensors["+a+"] must be the same "+("as the rank of the rest ("+e+")")})}),E(t>=0&&t<e,function(){return"Error in concat"+e+"D: axis must be between 0 and "+(e-1)+"."});var i=n[0];n.forEach(function(r,a){for(var s=0;s<e;s++)E(s===t||r[s]===i[s],function(){return"Error in concat"+e+"D: Shape of tensors["+a+"] ("+r+") "+("does not match the shape of the rest ("+i+") ")+("along the non-concatenated axis "+a+".")})})}function Jm(n,t){for(var e=n[0].slice(),i=1;i<n.length;i++)e[t]+=n[i][t];return e}function FT(n,t){t===void 0&&(t=0),E(n.length>=1,function(){return"Pass at least one tensor to concat"});var e=ba(n,"tensors","concat");e[0].dtype==="complex64"&&e.forEach(function(s){if(s.dtype!=="complex64")throw new Error(`Cannot concatenate complex64 tensors with a tensor
|
|
with dtype `+s.dtype+". ")});var i=function(s,o){var l=Ze(t,e[0].shape)[0],u=Jm(e.map(function(d){return d.shape}),l);if(st(u)===0)return ii([],u);if(e=e.filter(function(d){return d.size>0}),e.length===1)return e[0];var c=e.map(function(d){return d.shape});Xm(c,l);var h=s.concat(e,l);return o(e),h},r=e,a={axis:t};return z.runKernelFunc(i,r,null,yl,a)}var Nt=U({concat_:FT});function WT(n){var t=O(n,"x","sigmoid"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.sigmoid(t);return r([a]),a},e,null,wu)}var Fi=U({sigmoid_:WT});function UT(n,t,e){var i=O(n,"x","slice");if(i.rank===0)throw new Error("Slicing scalar is not possible");var r=function(o,l){var u=fc(i,t,e),c=u[0],h=u[1];return Sm(i,c,h),l([i]),o.slice(i,c,h)},a={x:i},s={begin:t,size:e};return z.runKernelFunc(r,a,null,gu,s)}var Pe=U({slice_:UT});function BT(n){var t=O(n,"x","tanh"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.tanh(t);return r([a]),a},e,null,Ou)}var Os=U({tanh_:BT});function zT(n,t,e,i,r,a){var s=O(n,"forgetBias","basicLSTMCell"),o=O(t,"lstmKernel","basicLSTMCell"),l=O(e,"lstmBias","basicLSTMCell"),u=O(i,"data","basicLSTMCell"),c=O(r,"c","basicLSTMCell"),h=O(a,"h","basicLSTMCell"),d=Nt([u,h],1),p=Fe(d,o),f=fe(p,l),m=f.shape[0],g=f.shape[1]/4,v=[m,g],b=Pe(f,[0,0],v),w=Pe(f,[0,g],v),S=Pe(f,[0,g*2],v),L=Pe(f,[0,g*3],v),x=fe(J(Fi(b),Os(w)),J(c,Fi(fe(s,S)))),C=J(Os(x),Fi(L));return[x,C]}var PT=U({basicLSTMCell_:zT});function _T(n,t,e){var i=O(n,"x","batchToSpaceND"),r=t.reduce(function(l,u){return l*u});E(i.rank>=1+t.length,function(){return"input rank is "+i.rank+" but should be > than blockShape.length "+t.length}),E(e.length===t.length,function(){return"crops.length is "+e.length+" but should be equal to blockShape.length "+t.length}),E(i.shape[0]%r===0,function(){return"input tensor batch is "+i.shape[0]+" but is not divisible by the product of "+("the elements of blockShape "+t.join(" * ")+" === "+r)});var a=function(l){return l.batchToSpaceND(i,t,e)},s={x:i},o={blockShape:t,crops:e};return z.runKernelFunc(a,s,null,fl,o)}var Es=U({batchToSpaceND_:_T});function MT(n){var t;return n.rank===0||n.rank===1?t=V(n,[1,1,1,n.size]):n.rank===2?t=V(n,[1,1,n.shape[0],n.shape[1]]):n.rank===3?t=V(n,[1,n.shape[0],n.shape[1],n.shape[2]]):t=n,t}function HT(n,t,e,i,r,a){a==null&&(a=.001);var s=O(n,"x","batchNorm"),o=O(t,"mean","batchNorm"),l=O(e,"variance","batchNorm"),u;r!=null&&(u=O(r,"scale","batchNorm"));var c;i!=null&&(c=O(i,"offset","batchNorm")),E(o.rank===l.rank,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),E(c==null||o.rank===c.rank,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),E(u==null||o.rank===u.rank,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."});var h=MT(s),d=function(g,v){return v([h,o,l,u]),g.batchNorm(h,Ds(o),Ds(l),Ds(c),Ds(u),a)},p={x:h,scale:u,offset:c,mean:o,variance:l},f={varianceEpsilon:a},m=z.runKernelFunc(d,p,null,Fl,f);return V(m,s.shape)}function Ds(n){return n==null?null:n.rank===0?V(n,[n.size]):n.rank===1?n:n.rank===2?V(n,[1,1,n.shape[0],n.shape[1]]):n.rank===3?V(n,[1,n.shape[0],n.shape[1],n.shape[2]]):n}var Aa=U({batchNorm_:HT});function VT(n,t,e,i,r,a){var s=O(n,"x","batchNorm"),o=O(t,"mean","batchNorm"),l=O(e,"variance","batchNorm"),u;r!=null&&(u=O(r,"scale","batchNorm"));var c;return i!=null&&(c=O(i,"offset","batchNorm")),E(s.rank===2,function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+(s.rank+".")}),E(o.rank===2||o.rank===1,function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but "+("got rank "+o.rank+".")}),E(l.rank===2||l.rank===1,function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 "+("but got rank "+l.rank+".")}),u!=null&&E(u.rank===2||u.rank===1,function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 "+("but got rank "+u.rank+".")}),c!=null&&E(c.rank===2||c.rank===1,function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 "+("but got rank "+c.rank+".")}),Aa(s,o,l,c,u,a)}var qT=U({batchNorm2d_:VT});function GT(n,t,e,i,r,a){var s=O(n,"x","batchNorm"),o=O(t,"mean","batchNorm"),l=O(e,"variance","batchNorm"),u;r!=null&&(u=O(r,"scale","batchNorm"));var c;return i!=null&&(c=O(i,"offset","batchNorm")),E(s.rank===3,function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+(s.rank+".")}),E(o.rank===3||o.rank===1,function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but "+("got rank "+o.rank+".")}),E(l.rank===3||l.rank===1,function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 "+("but got rank "+l.rank+".")}),u!=null&&E(u.rank===3||u.rank===1,function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 "+("but got rank "+u.rank+".")}),c!=null&&E(c.rank===3||c.rank===1,function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 "+("but got rank "+c.rank+".")}),Aa(s,o,l,c,u,a)}var YT=U({batchNorm3d_:GT});function KT(n,t,e,i,r,a){var s=O(n,"x","batchNorm"),o=O(t,"mean","batchNorm"),l=O(e,"variance","batchNorm"),u;r!=null&&(u=O(r,"scale","batchNorm"));var c;return i!=null&&(c=O(i,"offset","batchNorm")),E(s.rank===4,function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+(s.rank+".")}),E(o.rank===4||o.rank===1,function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but "+("got rank "+o.rank+".")}),E(l.rank===4||l.rank===1,function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 "+("but got rank "+l.rank+".")}),u!=null&&E(u.rank===4||u.rank===1,function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 "+("but got rank "+u.rank+".")}),c!=null&&E(c.rank===4||c.rank===1,function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 "+("but got rank "+c.rank+".")}),Aa(s,o,l,c,u,a)}var jT=U({batchNorm4d_:KT});function $T(n,t){var e=O(n,"broadcastTo","x"),i=e.shape;if(t.some(function(d){return!(d>0)||d%1!==0}))throw new Error("broadcastTo(): Invalid broadcast shape ["+t+"].");if(t.length<e.rank)throw new Error("broadcastTo(): shape.length="+t.length+" < input.rank="+e.rank+".");if(t.length>e.rank){for(var r=e.shape.slice();r.length<t.length;)r.unshift(1);e=V(e,r)}for(var a=e.shape,s=Array.from(t),o=t.length-1;o>=0;o--)if(a[o]===t[o])s[o]=1;else if(e.shape[o]!==1)throw new Error("broadcastTo(): ["+i+"] cannot be broadcast to ["+t+"].");var l=s.map(function(d,p){return d>1?p:-1}).filter(function(d){return d>=0});if(l.length===0)return Di(e);var u=function(d){return d.tile(e,s)},c={x:e},h={shape:t,inputShape:a};return z.runKernelFunc(u,c,null,ml,h)}var ks=U({broadcastTo_:$T});function XT(n){var t=O(n,"x","ceil"),e={x:t};return z.runKernelFunc(function(i){return i.ceil(t)},e,null,gl)}var Zm=U({ceil_:XT});function JT(n,t,e){var i=O(n,"x","clipByValue");E(t<=e,function(){return"Error in clip: min ("+t+") must be "+("less than or equal to max ("+e+").")});var r={x:i},a={clipValueMin:t,clipValueMax:e};return z.runKernelFunc(function(s,o){var l=s.clip(i,t,e);return o([i]),l},r,null,vl,a)}var Qm=U({clipByValue_:JT});function ZT(n){return Nt(n,0)}var QT=U({concat1d_:ZT});function e1(n,t){return Nt(n,t)}var t1=U({concat2d_:e1});function n1(n,t){return Nt(n,t)}var i1=U({concat3d_:n1});function r1(n,t){return Nt(n,t)}var a1=U({concat4d_:r1});function s1(n,t,e,i,r,a,s){r===void 0&&(r="NHWC"),a===void 0&&(a=[1,1]);var o=O(n,"x","conv2d"),l=O(t,"filter","conv2d"),u=o,c=!1;o.rank===3&&(c=!0,u=V(o,[1,o.shape[0],o.shape[1],o.shape[2]])),E(u.rank===4,function(){return"Error in conv2d: input must be rank 4, but got rank "+u.rank+"."}),E(l.rank===4,function(){return"Error in conv2d: filter must be rank 4, but got rank "+(l.rank+".")}),s!=null&&E(it(i),function(){return"Error in conv2d: pad must be an integer when using, "+("dimRoundingMode "+s+" but got pad "+i+".")});var h=r==="NHWC"?u.shape[3]:u.shape[1];E(h===l.shape[2],function(){return"Error in conv2d: depth of input ("+h+") must match "+("input depth for filter "+l.shape[2]+".")}),E(Ut(e,a),function(){return"Error in conv2D: Either strides or dilations must be 1. "+("Got strides "+e+" and dilations '"+a+"'")});var d=function(g,v){var b=Sa(r),w=xn(u.shape,l.shape,e,a,i,s,!1,b),S=g.conv2d(u,l,w);return v([u,l]),S},p={x:u,filter:l},f={strides:e,pad:i,dataFormat:r,dilations:a,dimRoundingMode:s},m=z.runKernelFunc(d,p,null,bl,f);return c?V(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var xr=U({conv2d_:s1});function o1(n,t,e,i,r,a,s){r===void 0&&(r="NWC"),a===void 0&&(a=1);var o=O(n,"x","conv1d"),l=O(t,"filter","conv1d"),u=o,c=!1;o.rank===2&&(c=!0,u=V(o,[1,o.shape[0],o.shape[1]])),E(u.rank===3,function(){return"Error in conv1d: input must be rank 3, but got rank "+u.rank+"."}),E(l.rank===3,function(){return"Error in conv1d: filter must be rank 3, but got rank "+(l.rank+".")}),s!=null&&E(it(i),function(){return"Error in conv1d: pad must be an integer when using, "+("dimRoundingMode "+s+" but got pad "+i+".")}),E(u.shape[2]===l.shape[1],function(){return"Error in conv1d: depth of input ("+u.shape[2]+") must match "+("input depth for filter "+l.shape[1]+".")}),E(Ut(e,a),function(){return"Error in conv1D: Either stride or dilation must be 1. "+("Got stride "+e+" and dilation '"+a+"'")}),E(r==="NWC",function(){return"Error in conv1d: got dataFormat of "+r+" but only NWC is currently supported."});var h=V(l,[1,l.shape[0],l.shape[1],l.shape[2]]),d=V(u,[u.shape[0],1,u.shape[1],u.shape[2]]),p=[1,e],f=[1,a],m="NHWC",g=xr(d,h,p,i,m,f,s);return c?V(g,[g.shape[2],g.shape[3]]):V(g,[g.shape[0],g.shape[2],g.shape[3]])}var eg=U({conv1d_:o1});function l1(n,t,e,i,r,a,s){a===void 0&&(a="NHWC"),E(n.length===t.rank,function(){return"Length of inShape "+("("+n.length+") and rank of dy ("+t.rank+") must match")});var o=n,l=t,u=!1;t.rank===3&&(u=!0,l=V(t,[1,t.shape[0],t.shape[1],t.shape[2]]),o=[1,n[0],n[1],n[2]]),E(o.length===4,function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+(o.length+".")}),E(l.rank===4,function(){return"Error in conv2dDerInput: dy must be rank 4, but got "+("rank "+l.rank)}),E(e.rank===4,function(){return"Error in conv2dDerInput: filter must be rank 4, but got "+("rank "+e.rank)});var c=a==="NHWC"?o[3]:o[1],h=a==="NHWC"?l.shape[3]:l.shape[1];E(c===e.shape[2],function(){return"Error in conv2dDerInput: depth of input ("+c+") must "+("match input depth for filter "+e.shape[2]+".")}),E(h===e.shape[3],function(){return"Error in conv2dDerInput: depth of output ("+h+") must "+("match output depth for filter "+e.shape[3]+".")}),s!=null&&E(it(r),function(){return"Error in conv2dDerInput: pad must be an integer when using, "+("dimRoundingMode "+s+" but got pad "+r+".")});var d=function(g,v){var b=1,w=Sa(a),S=xn(o,e.shape,i,b,r,s,!1,w),L=g.conv2dDerInput(l,e,S);return v([l,e]),L},p={dy:l,filter:e},f={strides:i,pad:r,dataFormat:a,dimRoundingMode:s,inputShape:o},m=z.runKernelFunc(d,p,null,wl,f);return u?V(m,[m.shape[1],m.shape[2],m.shape[3]]):m}var Ic=U({conv2DBackpropInput_:l1});function u1(n,t,e,i,r,a){var s=O(n,"x","conv2dTranspose"),o=O(t,"filter","conv2dTranspose");return Ic(e,s,o,i,r,"NHWC",a)}var tg=U({conv2dTranspose_:u1});function c1(n,t,e,i,r,a){r===void 0&&(r="NDHWC"),a===void 0&&(a=[1,1,1]);var s=O(n,"x","conv3d"),o=O(t,"filter","conv3d"),l=s,u=!1;s.rank===4&&(u=!0,l=V(s,[1,s.shape[0],s.shape[1],s.shape[2],s.shape[3]])),E(l.rank===5,function(){return"Error in conv3d: input must be rank 5, but got rank "+l.rank+"."}),E(o.rank===5,function(){return"Error in conv3d: filter must be rank 5, but got rank "+(o.rank+".")}),E(l.shape[4]===o.shape[3],function(){return"Error in conv3d: depth of input ("+l.shape[4]+") must match "+("input depth for filter "+o.shape[3]+".")}),E(Ut(e,a),function(){return"Error in conv3D: Either strides or dilations must be 1. "+("Got strides "+e+" and dilations '"+a+"'")}),E(r==="NDHWC",function(){return"Error in conv3d: got dataFormat of "+r+" but only NDHWC is currently supported."});var c=function(f,m){var g=La(l.shape,o.shape,e,a,i),v=f.conv3d(l,o,g);return m([l,o]),v},h={x:l,filter:o},d={strides:e,pad:i,dataFormat:r,dilations:a},p=z.runKernelFunc(c,h,null,Sl,d);return u?V(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var h1=U({conv3d_:c1});function d1(n,t,e,i,r){E(n.length===t.rank,function(){return"Length of inShape "+("("+n.length+") and rank of dy ("+t.rank+") must match")});var a=n,s=t,o=!1;t.rank===4&&(o=!0,s=V(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),a=[1,n[0],n[1],n[2],n[3]]);var l=a[4],u=s.shape[4];E(a.length===5,function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+(a.length+".")}),E(s.rank===5,function(){return"Error in conv3dDerInput: dy must be rank 5, but got "+("rank "+s.rank)}),E(e.rank===5,function(){return"Error in conv3dDerInput: filter must be rank 5, but got "+("rank "+e.rank)}),E(l===e.shape[3],function(){return"Error in conv3dDerInput: depth of input ("+l+") must "+("match input depth for filter "+e.shape[3]+".")}),E(u===e.shape[4],function(){return"Error in conv3dDerInput: depth of output ("+u+") must "+("match output depth for filter "+e.shape[4]+".")});var c=function(f){var m=1,g=La(a,e.shape,i,m,r);return f.conv3dDerInput(s,e,g)},h={dy:s},d={pad:r},p=z.runKernelFunc(c,h,null,Hp,d);return o?V(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var ng=U({conv3DBackpropInput_:d1});function p1(n,t,e,i,r){var a=O(n,"x","conv3dTranspose"),s=O(t,"filter","conv3dTranspose");return ng(e,a,s,i,r)}var f1=U({conv3dTranspose_:p1});function m1(n){var t=O(n,"x","cos"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.cos(t);return r([t]),a},e,null,Ll)}var Fs=U({cos_:m1});function g1(n){var t=O(n,"x","cosh"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.cosh(t);return r([t]),a},e,null,Il)}var Ac=U({cosh_:g1});function v1(n,t,e,i){t===void 0&&(t=0),e===void 0&&(e=!1),i===void 0&&(i=!1);var r=O(n,"x","cumsum"),a=function(l,u){var c=Zt([t],r.rank),h=r;c!=null&&(h=lt(r,c));var d=Nn(1,r.rank)[0],p=l.cumsum(h,d,e,i);if(u([r]),c!=null){var f=Cs(c);p=lt(p,f)}return p},s={x:r},o={axis:t,exclusive:e,reverse:i};return z.runKernelFunc(a,s,null,Al,o)}var Tc=U({cumsum_:v1});function y1(n,t,e){e===void 0&&(e="NHWC");var i=O(n,"x","depthToSpace"),r=e==="NHWC"?i.shape[1]:i.shape[2],a=e==="NHWC"?i.shape[2]:i.shape[3],s=e==="NHWC"?i.shape[3]:i.shape[1];E(r*t>=0,function(){return`Negative dimension size caused by overflow when multiplying
|
|
`+r+" and "+t+` for depthToSpace with input shape
|
|
`+i.shape}),E(a*t>=0,function(){return`Negative dimension size caused by overflow when multiplying
|
|
`+a+" and "+t+` for depthToSpace with input shape
|
|
`+i.shape}),E(s%(t*t)===0,function(){return"Dimension size must be evenly divisible by "+t*t+" but is "+s+" for depthToSpace with input shape "+i.shape});var o=function(c){return c.depthToSpace(i,t,e)},l={x:i},u={blockSize:t,dataFormat:e};return z.runKernelFunc(o,l,null,qp,u)}var ig=U({depthToSpace_:y1});function b1(n,t,e,i,r,a,s){r===void 0&&(r="NHWC"),a===void 0&&(a=[1,1]);var o=O(n,"x","depthwiseConv2d"),l=O(t,"filter","depthwiseConv2d"),u=o,c=!1;o.rank===3&&(c=!0,u=V(o,[1,o.shape[0],o.shape[1],o.shape[2]])),E(u.rank===4,function(){return"Error in depthwiseConv2d: input must be rank 4, but got "+("rank "+u.rank+".")}),E(l.rank===4,function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+(l.rank+".")}),E(u.shape[3]===l.shape[2],function(){return"Error in depthwiseConv2d: number of input channels "+("("+u.shape[3]+") must match the inChannels dimension in ")+("filter "+l.shape[2]+".")}),s!=null&&E(it(i),function(){return"Error in depthwiseConv2d: pad must be an integer when using, "+("dimRoundingMode "+s+" but got pad "+i+".")});var h=function(m,g){a==null&&(a=[1,1]),E(Ut(e,a),function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+("1. Got strides "+e+" and dilations '"+a+"'")});var v=xn(u.shape,l.shape,e,a,i,s,!0),b=m.depthwiseConv2D(u,l,v);return g([u,l]),b},d={x:u,filter:l},p={strides:e,pad:i,dataFormat:r,dilations:a,dimRoundingMode:s},f=z.runKernelFunc(h,d,null,Tl,p);return c?V(f,[f.shape[1],f.shape[2],f.shape[3]]):f}var Ta=U({depthwiseConv2d_:b1});function w1(n){var t=O(n,"x","diag"),e=function(r){var a=V(t,[t.size]),s=r.diag(a),o=n.shape.concat(n.shape);return V(s,o)},i={x:t};return z.runKernelFunc(e,i,null,Kp)}var S1=U({diag_:w1});function L1(n,t,e,i,r,a){r===void 0&&(r=[1,1]),a===void 0&&(a="NHWC");var s=O(n,"x","dilation2d"),o=O(t,"filter","dilation2d");E(s.rank===3||s.rank===4,function(){return"Error in dilation2d: input must be rank 3 or 4, but got rank "+(s.rank+".")}),E(o.rank===3,function(){return"Error in dilation2d: filter must be rank 3, but got rank "+(o.rank+".")}),E(a==="NHWC",function(){return"Error in dilation2d: Only NHWC is currently supported, "+("but got dataFormat of "+a)});var l=s,u=!1;s.rank===3&&(l=V(s,[1,s.shape[0],s.shape[1],s.shape[2]]),u=!0);var c={x:l,filter:o},h={strides:e,pad:i,dilations:r},d=z.runKernel(Nl,c,h);return u?V(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var rg=U({dilation2d_:L1});function I1(n,t){for(var e=n.length,i=[],r=0;r<e;r++){var a=e-1-r,s=n[a]||1,o=t[t.length-1-r]||1;o>1&&s===1&&i.unshift(a)}return i}function ft(n,t){for(var e=[],i=0;i<t.length;i++){var r=n[n.length-i-1],a=t.length-i-1,s=t[a];(r==null||r===1&&s>1)&&e.unshift(a)}return e}function Qe(n,t){for(var e=[],i=Math.max(n.length,t.length),r=0;r<i;r++){var a=n[n.length-r-1];a==null&&(a=1);var s=t[t.length-r-1];if(s==null&&(s=1),a===1)e.unshift(s);else if(s===1)e.unshift(a);else if(a!==s){var o="Operands could not be broadcast together with shapes "+(n+" and "+t+".");throw Error(o)}else e.unshift(a)}return e}function A1(n,t){var e,i=O(n,"a","equal"),r=O(t,"b","equal");e=rt(i,r),i=e[0],r=e[1],Qe(i.shape,r.shape);var a=function(o){return o.equal(i,r)},s={a:i,b:r};return z.runKernelFunc(a,s,null,Jp)}var Na=U({equal_:A1});function T1(n,t,e){var i=O(t,"a","where"),r=O(e,"b","where"),a=O(n,"condition","where","bool"),s=Qe(i.shape,r.shape),o=ks(i,s),l=ks(r,s);a.rank===1&&E(a.shape[0]===i.shape[0],function(){return"The first dimension of `a` must match the size of `condition`."}),a.rank!==1&&Be(a.shape,l.shape,"Error in where: ");var u=function(h,d){var p=h.select(a,o,l);return d([a]),p},c={condition:a,t:o,e:l};return z.runKernelFunc(u,c,null,fu)}var un=U({where_:T1});function N1(n){var t=O(n,"x","zerosLike"),e={x:t};return z.runKernelFunc(function(i){return i.zerosLike(t)},e,null,Wu)}var Ee=U({zerosLike_:N1});function x1(n,t){var e,i=O(n,"a","div"),r=O(t,"b","div");e=rt(i,r),i=e[0],r=e[1];var a=Ie(i,r),s=Ee(a),o=Na(r,s);return un(o,s,a)}var ag=U({divNoNan_:x1});function C1(n,t){var e=O(n,"t1","dot"),i=O(t,"t2","dot");E((e.rank===1||e.rank===2)&&(i.rank===1||i.rank===2),function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+(e.rank+" and "+i.rank+".")});var r=e.rank===1?e.size:e.shape[1],a=i.rank===1?i.size:i.shape[0];if(E(r===a,function(){return"Error in dot: inner dimensions of inputs must match, but got "+(r+" and "+a+".")}),e.rank===1&&i.rank===1){var s=V(e,[1,-1]),o=V(i,[-1,1]),l=Fe(s,o);return V(l,[])}else if(e.rank===1&&i.rank===2){var s=V(e,[1,-1]),o=V(i,[i.shape[0],i.shape[1]]),l=Fe(s,o);return V(l,[l.size])}else if(e.rank===2&&i.rank===1){var o=V(i,[-1,1]),l=Fe(e,o);return V(l,[l.size])}else{var o=V(i,[i.shape[0],i.shape[1]]),l=Fe(e,o);return l}}var sg=U({dot_:C1});function R1(n){var t=O(n,"x","elu"),e=function(r,a){var s=r.elu(t);return a([s]),s},i={x:t};return z.runKernelFunc(e,i,null,Cl)}var Nc=U({elu_:R1});function O1(n){var t=O(n,"x","erf");E(t.dtype==="int32"||t.dtype==="float32",function(){return"Input dtype must be `int32` or `float32`."}),t.dtype==="int32"&&(t=ue(t,"float32"));var e={x:t};return z.runKernelFunc(function(i,r){var a=i.erf(t);return r([t]),a},e,null,Rl)}var og=U({erf_:O1});function E1(n){var t=O(n,"x","exp"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.exp(t);return r([a]),a},e,null,Ol)}var cn=U({exp_:E1});function D1(n,t){t===void 0&&(t=0);var e=null,i=O(n,"x","expandDims",e);E(t<=i.rank,function(){return"Axis must be <= rank of the tensor"});var r=i.shape.slice();return t<0&&(E(-(i.rank+1)<=t,function(){return"Axis must be in the interval ["+-(i.rank+1)+", "+i.rank+"]"}),t=i.rank+t+1),r.splice(t,0,1),V(i,r)}var hn=U({expandDims_:D1});function k1(n){var t=O(n,"x","expm1"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.expm1(t);return r([t]),a},e,null,El)}var lg=U({expm1_:k1});function F1(n,t){var e=null,i=O(n,"x","tile",e);E(i.rank===t.length,function(){return"Error in transpose: rank of input "+i.rank+" "+("must match length of reps "+t+".")});var r=function(l,u){var c=l.tile(i,t);return u([i]),c},a=[i],s={x:i},o={reps:t};return z.runKernelFunc(r,s,null,Eu,o,a)}var Cr=U({tile_:F1});function W1(n,t,e,i){i===void 0&&(i="float32"),t==null&&(t=n);for(var r=Tn([n,t],i),a=n<=t?n:t,s=0;s<a;++s)r.set(1,s,s);var o=V(r.toTensor(),[n,t]);if(e==null)return o;if(e.length===1)return Cr(hn(o,0),[e[0],1,1]);if(e.length===2)return Cr(hn(hn(o,0),0),[e[0],e[1],1,1]);if(e.length===3)return Cr(hn(hn(hn(o,0),0),0),[e[0],e[1],e[2],1,1]);throw new Error("eye() currently supports only 1D and 2D "+("batchShapes, but received "+e.length+"D."))}var ug=U({eye_:W1});function xc(n,t,e){var i={shape:n,value:t,dtype:e};return z.runKernelFunc(function(r){return r.fill(n,t,e)},{},null,Qp,i)}function U1(n){var t=O(n,"x","floor"),e={x:t};return z.runKernelFunc(function(i){return i.floor(t)},e,null,Dl)}var Ws=U({floor_:U1});var Cc=30;function B1(n){return n<=Cc?n:bs(n,Math.floor(Math.sqrt(n)))}function z1(n,t){var e=!1,i;for(n<=Cc?(i=n,e=!0):i=bs(n,Math.floor(Math.sqrt(n)));!e;)i>t||i===n?e=!0:i=bs(n,i+1);return i}function P1(n,t,e){for(var i=[],r=n.length,a=0;a<r;a++)a!==t?i.push(n[a]):i.push(e);return i}function cg(n,t,e){for(var i=n.shape[e],r=[],a=1,s=1,o=0;o<e;o++)r.push(n.shape[o]),a*=n.shape[o];for(var o=0;o<t.rank;o++)r.push(t.shape[o]);for(var o=e+1;o<n.rank;o++)r.push(n.shape[o]),s*=n.shape[o];return{batchSize:a,sliceSize:s,dimSize:i,outputShape:r}}var _1={__proto__:null,segOpComputeOptimalWindowSize:z1,computeOutShape:P1,collectGatherOpShapeInfo:cg};function M1(n,t,e){e===void 0&&(e=0);var i=O(n,"x","gather"),r=O(t,"indices","gather","int32"),a={x:i,indices:r},s={axis:e},o=function(l,u){var c=Ze(e,i.shape)[0],h=cg(i,r,c),d=l.gather(i,V(r,[r.size]),c);return u([i,r]),V(d,h.outputShape)};return z.runKernelFunc(o,a,null,Wl,s)}var Us=U({gather_:M1});function H1(n,t){var e,i=O(n,"a","greater"),r=O(t,"b","greater");e=rt(i,r),i=e[0],r=e[1],Qe(i.shape,r.shape);var a=function(o){return o.greater(i,r)},s={a:i,b:r};return z.runKernelFunc(a,s,null,nf)}var li=U({greater_:H1});function V1(n,t){var e,i=O(n,"a","greaterEqual"),r=O(t,"b","greaterEqual");e=rt(i,r),i=e[0],r=e[1],Qe(i.shape,r.shape);var a=function(o,l){var u=o.greaterEqual(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,Ul)}var Wi=U({greaterEqual_:V1});function q1(n){var t=O(n,"input","imag"),e=function(r){return r.imag(t)},i={input:t};return z.runKernelFunc(e,i,null,af)}var Bs=U({imag_:q1});function G1(n){var t=O(n,"x","isFinite"),e={x:t};return z.runKernelFunc(function(i){return i.isFinite(t)},e,null,zl)}var hg=U({isFinite_:G1});function Y1(n){var t=O(n,"x","isInf"),e={x:t};return z.runKernelFunc(function(i){return i.isInf(t)},e,null,Pl)}var dg=U({isInf_:Y1});function K1(n){var t=O(n,"x","isNaN"),e={x:t};return z.runKernelFunc(function(i){return i.isNaN(t)},e,null,_l)}var pg=U({isNaN_:K1});function j1(n,t){var e,i=O(n,"a","maximum"),r=O(t,"b","maximum");e=rt(i,r),i=e[0],r=e[1],i.dtype==="bool"&&(i=ue(i,"int32"),r=ue(r,"int32")),Qe(i.shape,r.shape);var a=function(o,l){var u=o.maximum(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,Yl)}var Rr=U({maximum_:j1});function we(n,t){if((Rt(n)&&t!=="string"||Array.isArray(n))&&t!=="complex64")throw new Error("Error creating a new Scalar: value must be a primitive (number|boolean|string)");if(t==="string"&&Rt(n)&&!(n instanceof Uint8Array))throw new Error("When making a scalar from encoded string, the value must be `Uint8Array`.");var e=[],i=[];return ni(n,e,i,t)}function $1(n,t){t===void 0&&(t=.2);var e=O(n,"x","leakyRelu");return Rr(J(we(t),e),e)}var fg=U({leakyRelu_:$1});function X1(n,t){var e,i=O(n,"a","less"),r=O(t,"b","less");e=rt(i,r),i=e[0],r=e[1],Qe(i.shape,r.shape);var a=function(o){return o.less(i,r)},s={a:i,b:r};return z.runKernelFunc(a,s,null,sf)}var zs=U({less_:X1});function J1(n,t){var e,i=O(n,"a","lessEqual"),r=O(t,"b","lessEqual");e=rt(i,r),i=e[0],r=e[1],Qe(i.shape,r.shape);var a=function(o,l){var u=o.lessEqual(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,of)}var Ui=U({lessEqual_:J1});function Z1(n,t,e){if(e<=0)throw new Error("The number of values should be positive.");var i={start:n,stop:t,num:e};return z.runKernelFunc(function(r){return r.linspace(n,t,e)},{},null,lf,i)}function Q1(n,t,e,i,r){t===void 0&&(t=5),e===void 0&&(e=1),i===void 0&&(i=1),r===void 0&&(r=.5);var a=O(n,"x","localResponseNormalization");E(a.rank===4||a.rank===3,function(){return`Error in localResponseNormalization: x must be rank 3 or 4 but got
|
|
rank `+a.rank+"."}),E(it(t),function(){return"Error in localResponseNormalization: depthRadius must be an "+("integer but got depthRadius "+t+".")});var s=a,o=!1;a.rank===3&&(o=!0,s=V(a,[1,a.shape[0],a.shape[1],a.shape[2]]));var l=function(d,p){var f=d.localResponseNormalization4D(s,t,e,i,r);return p([s,f]),f},u={x:s},c={depthRadius:t,bias:e,alpha:i,beta:r},h=z.runKernelFunc(l,u,null,ql,c);return o?V(h,[h.shape[1],h.shape[2],h.shape[3]]):h}var mg=U({localResponseNormalization_:Q1});function eN(n){var t=O(n,"x","log"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.log(t);return r([t]),a},e,null,Ml)}var Bi=U({log_:eN});function tN(n){var t=O(n,"x","log1p"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.log1p(t);return r([t]),a},e,null,Hl)}var Rc=U({log1p_:tN});function nN(n){return E(ei(n),function(){return"The f passed in grad(f) must be a function"}),function(t,e){var i=O(t,"x","tf.grad",null),r=e!=null?O(e,"dy","tf.grad"):null;return z.tidy(function(){var a=z.gradients(function(){return n(i)},[i],r),s=a.value,o=a.grads;return r!=null&&Be(s.shape,r.shape,"The shape of dy passed in grad(f)(x, dy) must match the shape returned by f(x)"),Ps(o),o[0]})}}function iN(n){return E(ei(n),function(){return"The f passed in grads(f) must be a function"}),function(t,e){E(Array.isArray(t),function(){return"The args passed in grads(f)(args) must be an array of `Tensor`s or `TensorLike`s"});var i=ba(t,"args","tf.grads",null),r=e!=null?O(e,"dy","tf.grads"):null;return z.tidy(function(){var a=z.gradients(function(){return n.apply(void 0,i)},i,r),s=a.value,o=a.grads;return r!=null&&Be(s.shape,r.shape,"The shape of dy passed in grads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Ps(o),o})}}function rN(n){return E(ei(n),function(){return"The f passed in valueAndGrad(f) must be a function"}),function(t,e){E(t instanceof Y,function(){return"The x passed in valueAndGrad(f)(x) must be a tensor"}),E(e==null||e instanceof Y,function(){return"The dy passed in valueAndGrad(f)(x, dy) must be a tensor"});var i=z.gradients(function(){return n(t)},[t],e),r=i.grads,a=i.value;return Ps(r),{grad:r[0],value:a}}}function aN(n){return E(ei(n),function(){return"The f passed in valueAndGrads(f) must be a function"}),function(t,e){E(Array.isArray(t)&&t.every(function(r){return r instanceof Y}),function(){return"The args passed in valueAndGrads(f)(args) must be array of tensors"}),E(e==null||e instanceof Y,function(){return"The dy passed in valueAndGrads(f)(args, dy) must be a tensor"});var i=z.gradients(function(){return n.apply(void 0,t)},t,e);return e!=null&&Be(i.value.shape,e.shape,"The shape of dy passed in valueAndGrads(f)([x1,...], dy) must match the shape returned by f([x1,...])"),Ps(i.grads),i}}function gg(n,t){E(ei(n),function(){return"The f passed in variableGrads(f) must be a function"}),E(t==null||Array.isArray(t)&&t.every(function(h){return h instanceof ya}),function(){return"The varList passed in variableGrads(f, varList) must be an array of variables"});var e=t!=null;if(!e){t=[];for(var i in z.registeredVariables)t.push(z.registeredVariables[i])}var r=e?t.filter(function(h){return!h.trainable}):null,a=t.length;t=t.filter(function(h){return h.trainable}),E(t.length>0,function(){return"variableGrads() expects at least one of the input variables to "+("be trainable, but none of the "+a+" variables is ")+"trainable."});var s=!0,o=z.gradients(n,t,null,s),l=o.value,u=o.grads;E(u.some(function(h){return h!=null}),function(){return"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()."}),E(l.rank===0,function(){return"The f passed in variableGrads(f) must return a scalar, but it "+("returned a rank-"+l.rank+" tensor")});var c={};return t.forEach(function(h,d){u[d]!=null&&(c[h.name]=u[d])}),r!=null&&r.forEach(function(h){return c[h.name]=null}),{value:l,grads:c}}function Cn(n){return z.customGrad(n)}function Ps(n){var t=n.filter(function(e){return e==null}).length;if(t>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 sN(n){var t=O(n,"x","neg"),e={x:t};return z.runKernelFunc(function(i){return i.neg(t)},e,null,Ql)}var mt=U({neg_:sN});function oN(n){var t=O(n,"x","softplus"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.softplus(t);return r([t]),a},e,null,Su)}var Oc=U({softplus_:oN});function lN(n){var t=O(n,"x","logSigmoid"),e=Cn(function(i){var r=mt(Oc(mt(i))),a=function(s){var o=J(s,Fi(mt(i)));return o};return{value:r,gradFunc:a}});return e(t)}var vg=U({logSigmoid_:lN});function uN(n,t,e){t===void 0&&(t=null),e===void 0&&(e=!1);var i=O(n,"x","max"),r=function(o,l){var u=Ze(t,i.shape),c=u,h=Zt(c,i.rank),d=i;h!=null&&(d=lt(i,h),c=Nn(c.length,d.rank));var p=o.max(d,c);h!=null&&d.dispose();var f=p;if(e){var m=Jt(f.shape,Ze(t,i.shape));f=V(f,m),p.dispose()}return l([i,f]),f},a={x:i},s={reductionIndices:t,keepDims:e};return z.runKernelFunc(r,a,null,Gl,s)}var zi=U({max_:uN});function cN(n,t){var e,i=O(n,"a","sub"),r=O(t,"b","sub");e=rt(i,r),i=e[0],r=e[1];var a=function(o,l){var u=o.subtract(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,Cu)}var ve=U({sub_:cN});function hN(n,t,e){t===void 0&&(t=null),e===void 0&&(e=!1);var i=O(n,"x","sum");i.dtype==="bool"&&(i=ue(i,"int32"));var r=function(o,l){l([i]);var u=Ze(t,i.shape),c=Zt(u,i.rank),h=u,d=i;c!=null&&(d=lt(i,c),h=Nn(h.length,i.rank));var p=o.sum(d,h);if(e){var f=Jt(p.shape,u);p=V(p,f)}return p},a={x:i},s={axis:t,keepDims:e};return z.runKernelFunc(r,a,null,Iu,s)}var Ae=U({sum_:hN});function dN(n,t){t===void 0&&(t=-1);var e=O(n,"logits","logSoftmax");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error("Log Softmax along a non-last dimension is not yet supported. "+("Logits was rank "+e.rank+" and axis was "+t));var i=function(s,o){var l=!0,u=zi(n,t,!0),c=ve(n,u),h=ve(ue(c,"float32"),Bi(Ae(cn(c),t,l)));return o([h]),h},r={logits:e},a={axis:t};return z.runKernelFunc(i,r,null,Vl,a)}var yg=U({logSoftmax_:dN});function pN(n,t,e){t===void 0&&(t=null),e===void 0&&(e=!1);var i=O(n,"x","logSumExp"),r=Ze(t,i.shape),a=zi(i,r,!0),s=ve(i,a),o=cn(s),l=Ae(o,r),u=Bi(l),c=fe(V(a,u.shape),u);if(e){var h=Jt(c.shape,r);return V(c,h)}return c}var Ec=U({logSumExp_:pN});function fN(n,t){var e=O(n,"a","logicalAnd","bool"),i=O(t,"b","logicalAnd","bool");Qe(e.shape,i.shape);var r={a:e,b:i};return z.runKernelFunc(function(a){return a.logicalAnd(e,i)},r,null,uf)}var Pi=U({logicalAnd_:fN});function mN(n){var t=O(n,"x","logicalNot","bool"),e={x:t};return z.runKernelFunc(function(i){return i.logicalNot(t)},e,null,cf)}var _s=U({logicalNot_:mN});function gN(n,t){var e=O(n,"a","logicalOr","bool"),i=O(t,"b","logicalOr","bool");Qe(e.shape,i.shape);var r={a:e,b:i};return z.runKernelFunc(function(a){return a.logicalOr(e,i)},r,null,hf)}var Dc=U({logicalOr_:gN});function vN(n,t){var e=O(n,"a","logicalXor","bool"),i=O(t,"b","logicalXor","bool");return Qe(e.shape,i.shape),Pi(Dc(n,t),_s(Pi(n,t)))}var bg=U({logicalXor_:vN});function yN(n,t,e,i,r){var a=O(n,"x","maxPool"),s=1,o=a,l=!1;a.rank===3&&(l=!0,o=V(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(o.rank===4,function(){return"Error in maxPool: input must be rank 4 but got rank "+o.rank+"."}),E(Ut(e,s),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+e+" and dilations '"+s+"'")}),r!=null&&E(it(i),function(){return"Error in maxPool: pad must be an integer when using, "+("dimRoundingMode "+r+" but got pad "+i+".")});var u=function(p,f){var m=Tr(o.shape,t,e,1,i,r),g;return m.filterWidth===1&&m.filterHeight===1&&rn(m.inShape,m.outShape)?g=o.clone():g=p.maxPool(o,m),f([o,g]),g},c={x:o},h={filterSize:t,strides:e,pad:i,dimRoundingMode:r},d=z.runKernelFunc(u,c,null,Kl,h);return l?V(d,[d.shape[1],d.shape[2],d.shape[3]]):d}var kc=U({maxPool_:yN});function bN(n,t,e,i,r,a,s){t===void 0&&(t=[1,1,1]),a===void 0&&(a="NDHWC"),s==null?s=[1,1,1]:Lt("dilations is deprecated, this field will be gone in v3.0.0.");var o=O(n,"x","maxPool3d"),l=o,u=!1;o.rank===4&&(u=!0,l=V(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),E(l.rank===5,function(){return"Error in maxPool3d: x must be rank 5 but got rank "+l.rank+"."}),E(a==="NDHWC",function(){return"Error in maxPool3d: Only NDHWC is currently supported, "+("but got dataFormat of "+a)}),E(Ut(e,s),function(){return"Error in maxPool3d: Either strides or dilations must be 1. "+("Got strides "+e+" and dilations '"+s+"'")}),r!=null&&E(it(i),function(){return"Error in maxPool3d: pad must be an integer when using, "+("dimRoundingMode "+r+" but got pad "+i+".")});var c=function(f,m){s==null&&(s=[1,1,1]);var g=Ia(l.shape,t,e,s,i,r,a),v=f.maxPool3d(l,g);return m([l,v]),v},h={x:l},d={filterSize:t,strides:e,pad:i,dimRoundingMode:r,dataFormat:a,dilations:s},p=z.runKernelFunc(c,h,null,jl,d);return u?V(p,[p.shape[1],p.shape[2],p.shape[3],p.shape[4]]):p}var wN=U({maxPool3d_:bN});function SN(n,t,e,i,r){r===void 0&&(r=!1);var a=O(n,"x","maxPoolWithArgmax"),s={x:a},o={filterSize:t,strides:e,pad:i,includeBatchInIndex:r},l=z.runKernel(mf,s,o);return{result:l[0],indexes:l[1]}}var LN=U({maxPoolWithArgmax_:SN});function Hn(n,t){if(t===void 0&&(t="float32"),t==="complex64"){var e=Hn(n,"float32"),i=Hn(n,"float32");return ti(e,i)}var r=yr(st(n),t);return z.makeTensor(r,n,t)}function Or(n,t){if(t===void 0&&(t="float32"),t==="complex64"){var e=Or(n,"float32"),i=Hn(n,"float32");return ti(e,i)}var r=Gu(st(n),t);return z.makeTensor(r,n,t)}function IN(n,t,e){t===void 0&&(t=null),e===void 0&&(e=!1);var i=O(n,"x","mean"),r=Ze(t,i.shape),a=_m(i.shape,r),s=a[1],o=st(s),l=Cn(function(u){var c=we(o),h=c.dtype===u.dtype?u:ue(u,c.dtype),d=Ie(h,c),p=Ae(d,t,e),f=function(m){var g=u.shape.slice();r.forEach(function(w){g[w]=1});var v=V(m,g),b=Ie(J(v,Or(u.shape,"float32")),o);return b};return{value:p,gradFunc:f}});return l(i)}var xa=U({mean_:IN});function AN(n,t,e){t===void 0&&(t=null),e===void 0&&(e=!1);var i=O(n,"x","min"),r=function(o,l){var u=Ze(t,i.shape),c=u,h=Zt(c,i.rank),d=i;h!=null&&(d=lt(i,h),c=Nn(c.length,i.rank));var p=o.min(d,c);h!=null&&d.dispose();var f=p;if(e){var m=Jt(f.shape,u);f=V(p,m),p.dispose()}return l([i,f]),f},a={x:i},s={axis:t,keepDims:e};return z.runKernelFunc(r,a,null,$l,s)}var Ms=U({min_:AN});function TN(n,t){var e,i=O(n,"a","minimum"),r=O(t,"b","minimum");e=rt(i,r),i=e[0],r=e[1],i.dtype==="bool"&&(i=ue(i,"int32"),r=ue(r,"int32")),Qe(i.shape,r.shape);var a=function(o,l){var u=o.minimum(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,Xl)}var Hs=U({minimum_:TN});function NN(n,t){var e,i=O(n,"a","mod"),r=O(t,"b","mod");e=rt(i,r),i=e[0],r=e[1];var a=function(o,l){var u=o.mod(i,r);return l([i,r]),u},s={a:i,b:r};return z.runKernelFunc(a,s,null,Jl)}var Fc=U({mod_:NN});function xN(n){var t=O(n,"x","square"),e={},i=[t],r=[];return z.runKernelFunc(function(a,s){return s([t]),a.square(t)},{x:t},null,"Square",e,i,r)}var Ge=U({square_:xN});function CN(n,t,e){t===void 0&&(t=null),e===void 0&&(e=!1),n=O(n,"x","moments");var i=Ze(t,n.shape),r=xa(n,i,e),a=r.shape;e||(a=Jt(r.shape,i));var s=Ge(ve(ue(n,"float32"),V(r,a))),o=xa(s,i,e);return{mean:r,variance:o}}var RN=U({moments_:CN});function ON(n,t,e,i){for(var r=O(t,"data","multiRNNCell"),a=ba(e,"c","multiRNNCell"),s=ba(i,"h","multiRNNCell"),o=r,l=[],u=0;u<n.length;u++){var c=n[u](o,a[u],s[u]);l.push(c[0]),l.push(c[1]),o=c[1]}for(var h=[],d=[],u=0;u<l.length;u+=2)h.push(l[u]),d.push(l[u+1]);return[h,d]}var EN=U({multiRNNCell_:ON});function DN(n,t,e,i){i===void 0&&(i=!1);var r=O(n,"logits","multinomial"),a=r.size,s=r.rank;if(a<2)throw new Error("Error in multinomial: you need at least 2 outcomes, but got "+(a+"."));if(s>2)throw new Error("Rank of probabilities must be 1 or 2, but is "+s);e=e||Math.random();var o=s===1?V(r,[1,-1]):r,l=z.runKernelFunc(function(u){return u.multinomial(o,i,t,e)},{logits2D:o});return s===1?V(l,[l.size]):l}var kN=U({multinomial_:DN});function FN(n,t){var e,i=O(n,"a","notEqual"),r=O(t,"b","notEqual");e=rt(i,r),i=e[0],r=e[1],Qe(i.shape,r.shape);var a=function(o){return o.notEqual(i,r)},s={a:i,b:r};return z.runKernelFunc(a,s,null,gf)}var Vs=U({notEqual_:FN});function WN(n){var t=O(n,"input","real"),e=function(r){return r.real(t)},i={input:t};return z.runKernelFunc(e,i,null,Lf)}var Ca=U({real_:WN});function UN(n){var t=O(n,"x","onesLike"),e=function(r,a){if(t.dtype==="complex64"){var s=Wc(Ca(t)),o=Ee(Bs(t));return ti(s,o)}return r.onesLike(t)},i={x:t};return z.runKernelFunc(e,i,null,eu)}var Wc=U({onesLike_:UN});function BN(n,t){var e=O(n,"v1","outerProduct"),i=O(t,"v2","outerProduct");E(e.rank===1&&i.rank===1,function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+(e.rank+" and "+i.rank+".")});var r=V(e,[-1,1]),a=V(i,[1,-1]);return Fe(r,a)}var zN=U({outerProduct_:BN});function PN(n,t,e){e===void 0&&(e=0);var i=O(n,"x","pad");if(i.rank===0)throw new Error("pad(scalar) is not defined. Pass non-scalar to pad");var r=function(o,l){return l([i]),o.pad(i,t,e)},a={paddings:t,constantValue:e},s={x:i};return z.runKernelFunc(r,s,null,nu,a)}var _i=U({pad_:PN});function _N(n,t,e){return e===void 0&&(e=0),E(t.length===2,function(){return"Invalid number of paddings. Must be length of 2."}),_i(n,[t],e)}var MN=U({pad1d_:_N});function HN(n,t,e){return e===void 0&&(e=0),E(t.length===2&&t[0].length===2&&t[1].length===2,function(){return"Invalid number of paddings. Must be length of 2 each."}),_i(n,t,e)}var VN=U({pad2d_:HN});function qN(n,t,e){return e===void 0&&(e=0),E(t.length===3&&t[0].length===2&&t[1].length===2&&t[2].length===2,function(){return"Invalid number of paddings. Must be length of 2 each."}),_i(n,t,e)}var GN=U({pad3d_:qN});function YN(n,t,e){return e===void 0&&(e=0),E(t.length===4&&t[0].length===2&&t[1].length===2&&t[2].length===2&&t[3].length===2,function(){return"Invalid number of paddings. Must be length of 2 each."}),_i(n,t,e)}var KN=U({pad4d_:YN});function jN(n,t,e){var i=O(n,"x","spaceToBatchND");E(i.rank>=1+t.length,function(){return"input rank "+i.rank+" should be > than [blockShape] "+t.length}),E(e.length===t.length,function(){return"paddings.shape[0] "+e.length+" must be equal to [blockShape] "+t.length}),E(i.shape.reduce(function(o,l,u){return u>0&&u<=t.length?o&&(l+e[u-1][0]+e[u-1][1])%t[u-1]===0:o},!0),function(){return"input spatial dimensions "+i.shape.slice(1)+" with paddings "+e.toString()+" must be divisible by blockShapes "+t.toString()});var r=function(o){return o.spaceToBatchND(i,t,e)},a={x:i},s={blockShape:t,paddings:e};return z.runKernelFunc(r,a,null,Au,s)}var qs=U({spaceToBatchND_:jN});function JN(n,t,e,i,r,a){r==null&&(r=[1,1]),a==null&&(a=1),i===0&&(i="valid");var s=O(n,"x","maxPool"),o=s,l=!1;s.rank===3&&(l=!0,o=V(s,[1,s.shape[0],s.shape[1],s.shape[2]])),E(Ut(a,r),function(){return"Error in pool: Either strides or dilations must be 1. "+("Got strides "+a+" and dilations '"+r+"'")});var u=Tr(o.shape,t,a,r,i),c=[u.dilationHeight,u.dilationWidth],h;i==="same"?h=XN([u.filterHeight,u.filterWidth],c):h=[[0,0],[0,0]];var d=c[0]===1&&c[1]===1,p=$N([u.inHeight,u.inWidth],c,h),f=p[0],m=p[1],g=d?i:"valid",v=d?o:qs(o,c,f),b=e==="avg"?function(){return Lc(v,t,a,g)}:function(){return kc(v,t,a,g)},w=b(),S=d?w:Es(w,c,m);return l?V(S,[S.shape[1],S.shape[2],S.shape[3]]):S}function $N(n,t,e){var i=e.map(function(c){return c[0]}),r=e.map(function(c){return c[1]}),a=n.concat(i,r),s=t.map(function(c,h){return(c-a[h]%c)%c}),o=r.map(function(c,h){return c+s[h]}),l=t.map(function(c,h){return[i[h],o[h]]}),u=t.map(function(c,h){return[0,s[h]]});return[l,u]}function XN(n,t){var e=n.map(function(s,o){return s+(s-1)*(t[o]-1)}),i=e.map(function(s){return s-1}),r=i.map(function(s){return Math.floor(s/2)}),a=i.map(function(s,o){return s-r[o]});return i.map(function(s,o){return[r[o],a[o]]})}var wg=U({pool_:JN});function ZN(n,t){var e,i=O(n,"base","pow"),r=O(t,"exp","pow");e=rt(i,r),i=e[0],r=e[1];var a={a:i,b:r},s=function(o,l){var u=o.pow(i,r);return l([i,r,u]),u};return z.runKernelFunc(s,a,null,iu)}var Vn=U({pow_:ZN});function QN(n,t){var e=O(n,"x","prelu"),i=O(t,"alpha","prelu"),r=function(s,o){var l=s.prelu(e,i);return o([e,i]),l},a={x:e,alpha:i};return z.runKernelFunc(r,a,null,ru)}var Uc=U({prelu_:QN});function ex(n,t,e){t===void 0&&(t=null),e===void 0&&(e=!1);var i=O(n,"x","prod"),r=function(o){i.dtype==="bool"&&(i=ue(i,"int32"));var l=Ze(t,i.shape),u=Zt(l,i.rank),c=l,h=i;u!=null&&(h=lt(i,u),c=Nn(c.length,i.rank));var d=o.prod(h,c);if(e){var p=Jt(d.shape,l);d=V(d,p)}return d},a={x:i},s={axis:t,keepDims:e};return z.runKernelFunc(r,a,null,wf,s)}var Sg=U({prod_:ex});function tx(n,t,e){var i=st(n),r=null;if(e==null||e==="float32")r=new Float32Array(i);else if(e==="int32")r=new Int32Array(i);else if(e==="bool")r=new Uint8Array(i);else throw new Error("Unknown data type "+e);for(var a=0;a<i;a++)r[a]=t();return z.makeTensor(r,n,e)}var nx=U({rand_:tx}),Er=typeof globalThis!="undefined"?globalThis:typeof window!="undefined"?window:typeof global!="undefined"?global:typeof self!="undefined"?self:{};function Mi(n,t){return t={exports:{}},n(t,t.exports),t.exports}var ix=Mi(function(n){(function(t,e,i){function r(l){var u=this,c=o();u.next=function(){var h=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=h-(u.c=h|0)},u.c=1,u.s0=c(" "),u.s1=c(" "),u.s2=c(" "),u.s0-=c(l),u.s0<0&&(u.s0+=1),u.s1-=c(l),u.s1<0&&(u.s1+=1),u.s2-=c(l),u.s2<0&&(u.s2+=1),c=null}function a(l,u){return u.c=l.c,u.s0=l.s0,u.s1=l.s1,u.s2=l.s2,u}function s(l,u){var c=new r(l),h=u&&u.state,d=c.next;return d.int32=function(){return c.next()*4294967296|0},d.double=function(){return d()+(d()*2097152|0)*11102230246251565e-32},d.quick=d,h&&(typeof h=="object"&&a(h,c),d.state=function(){return a(c,{})}),d}function o(){var l=4022871197,u=function(c){c=c.toString();for(var h=0;h<c.length;h++){l+=c.charCodeAt(h);var d=.02519603282416938*l;l=d>>>0,d-=l,d*=l,l=d>>>0,d-=l,l+=d*4294967296}return(l>>>0)*23283064365386963e-26};return u}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.alea=s})(Er,n,!1)}),rx=Mi(function(n){(function(t,e,i){function r(o){var l=this,u="";l.x=0,l.y=0,l.z=0,l.w=0,l.next=function(){var h=l.x^l.x<<11;return l.x=l.y,l.y=l.z,l.z=l.w,l.w^=l.w>>>19^h^h>>>8},o===(o|0)?l.x=o:u+=o;for(var c=0;c<u.length+64;c++)l.x^=u.charCodeAt(c)|0,l.next()}function a(o,l){return l.x=o.x,l.y=o.y,l.z=o.z,l.w=o.w,l}function s(o,l){var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(typeof c=="object"&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.xor128=s})(Er,n,!1)}),ax=Mi(function(n){(function(t,e,i){function r(o){var l=this,u="";l.next=function(){var h=l.x^l.x>>>2;return l.x=l.y,l.y=l.z,l.z=l.w,l.w=l.v,(l.d=l.d+362437|0)+(l.v=l.v^l.v<<4^(h^h<<1))|0},l.x=0,l.y=0,l.z=0,l.w=0,l.v=0,o===(o|0)?l.x=o:u+=o;for(var c=0;c<u.length+64;c++)l.x^=u.charCodeAt(c)|0,c==u.length&&(l.d=l.x<<10^l.x>>>4),l.next()}function a(o,l){return l.x=o.x,l.y=o.y,l.z=o.z,l.w=o.w,l.v=o.v,l.d=o.d,l}function s(o,l){var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(typeof c=="object"&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.xorwow=s})(Er,n,!1)}),sx=Mi(function(n){(function(t,e,i){function r(o){var l=this;l.next=function(){var c=l.x,h=l.i,d,p;return d=c[h],d^=d>>>7,p=d^d<<24,d=c[h+1&7],p^=d^d>>>10,d=c[h+3&7],p^=d^d>>>3,d=c[h+4&7],p^=d^d<<7,d=c[h+7&7],d=d^d<<13,p^=d^d<<9,c[h]=p,l.i=h+1&7,p};function u(c,h){var d,p,f=[];if(h===(h|0))p=f[0]=h;else for(h=""+h,d=0;d<h.length;++d)f[d&7]=f[d&7]<<15^h.charCodeAt(d)+f[d+1&7]<<13;for(;f.length<8;)f.push(0);for(d=0;d<8&&f[d]===0;++d);for(d==8?p=f[7]=-1:p=f[d],c.x=f,c.i=0,d=256;d>0;--d)c.next()}u(l,o)}function a(o,l){return l.x=o.x.slice(),l.i=o.i,l}function s(o,l){o==null&&(o=+new Date);var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(c.x&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.xorshift7=s})(Er,n,!1)}),ox=Mi(function(n){(function(t,e,i){function r(o){var l=this;l.next=function(){var c=l.w,h=l.X,d=l.i,p,f;return l.w=c=c+1640531527|0,f=h[d+34&127],p=h[d=d+1&127],f^=f<<13,p^=p<<17,f^=f>>>15,p^=p>>>12,f=h[d]=f^p,l.i=d,f+(c^c>>>16)|0};function u(c,h){var d,p,f,m,g,v=[],b=128;for(h===(h|0)?(p=h,h=null):(h=h+"\0",p=0,b=Math.max(b,h.length)),f=0,m=-32;m<b;++m)h&&(p^=h.charCodeAt((m+32)%h.length)),m===0&&(g=p),p^=p<<10,p^=p>>>15,p^=p<<4,p^=p>>>13,m>=0&&(g=g+1640531527|0,d=v[m&127]^=p+g,f=d==0?f+1:0);for(f>=128&&(v[(h&&h.length||0)&127]=-1),f=127,m=4*128;m>0;--m)p=v[f+34&127],d=v[f=f+1&127],p^=p<<13,d^=d<<17,p^=p>>>15,d^=d>>>12,v[f]=p^d;c.w=g,c.X=v,c.i=f}u(l,o)}function a(o,l){return l.i=o.i,l.w=o.w,l.X=o.X.slice(),l}function s(o,l){o==null&&(o=+new Date);var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(c.X&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.xor4096=s})(Er,n,!1)}),lx=Mi(function(n){(function(t,e,i){function r(o){var l=this,u="";l.next=function(){var h=l.b,d=l.c,p=l.d,f=l.a;return h=h<<25^h>>>7^d,d=d-p|0,p=p<<24^p>>>8^f,f=f-h|0,l.b=h=h<<20^h>>>12^d,l.c=d=d-p|0,l.d=p<<16^d>>>16^f,l.a=f-h|0},l.a=0,l.b=0,l.c=2654435769|0,l.d=1367130551,o===Math.floor(o)?(l.a=o/4294967296|0,l.b=o|0):u+=o;for(var c=0;c<u.length+20;c++)l.b^=u.charCodeAt(c)|0,l.next()}function a(o,l){return l.a=o.a,l.b=o.b,l.c=o.c,l.d=o.d,l}function s(o,l){var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(typeof c=="object"&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.tychei=s})(Er,n,!1)}),Hi=Mi(function(n){(function(t,e){var i=this,r=256,a=6,s=52,o="random",l=e.pow(r,a),u=e.pow(2,s),c=u*2,h=r-1,d;function p(S,L,x){var C=[];L=L==!0?{entropy:!0}:L||{};var R=v(g(L.entropy?[S,w(t)]:S??b(),3),C),D=new f(C),k=function(){for(var W=D.g(a),F=l,P=0;W<u;)W=(W+P)*r,F*=r,P=D.g(1);for(;W>=c;)W/=2,F/=2,P>>>=1;return(W+P)/F};return k.int32=function(){return D.g(4)|0},k.quick=function(){return D.g(4)/4294967296},k.double=k,v(w(D.S),t),(L.pass||x||function(W,F,P,H){return H&&(H.S&&m(H,D),W.state=function(){return m(D,{})}),P?(e[o]=W,F):W})(k,R,"global"in L?L.global:this==e,L.state)}e["seed"+o]=p;function f(S){var L,x=S.length,C=this,R=0,D=C.i=C.j=0,k=C.S=[];for(x||(S=[x++]);R<r;)k[R]=R++;for(R=0;R<r;R++)k[R]=k[D=h&D+S[R%x]+(L=k[R])],k[D]=L;(C.g=function(W){for(var F,P=0,H=C.i,_=C.j,K=C.S;W--;)F=K[H=h&H+1],P=P*r+K[h&(K[H]=K[_=h&_+F])+(K[_]=F)];return C.i=H,C.j=_,P})(r)}function m(S,L){return L.i=S.i,L.j=S.j,L.S=S.S.slice(),L}function g(S,L){var x=[],C=typeof S,R;if(L&&C=="object")for(R in S)try{x.push(g(S[R],L-1))}catch(D){}return x.length?x:C=="string"?S:S+"\0"}function v(S,L){for(var x=S+"",C,R=0;R<x.length;)L[h&R]=h&(C^=L[h&R]*19)+x.charCodeAt(R++);return w(L)}function b(){try{var S;return d&&(S=d.randomBytes)?S=S(r):(S=new Uint8Array(r),(i.crypto||i.msCrypto).getRandomValues(S)),w(S)}catch(C){var L=i.navigator,x=L&&L.plugins;return[+new Date,i,x,i.screen,w(t)]}}function w(S){return String.fromCharCode.apply(0,S)}if(v(e.random(),t),n.exports){n.exports=p;try{d=ps()}catch(S){}}})([],Math)});Hi.alea=ix;Hi.xor128=rx;Hi.xorwow=ax;Hi.xorshift7=sx;Hi.xor4096=ox;Hi.tychei=lx;var ux=Hi,Bc=ux.alea;var zc=function(){function n(t,e,i,r,a){this.mean=t,this.stdDev=e,this.dtype=i,this.nextVal=NaN,this.truncated=r,this.truncated&&(this.upper=this.mean+this.stdDev*2,this.lower=this.mean-this.stdDev*2);var s=a||Math.random();this.random=Bc(s.toString())}return n.prototype.nextValue=function(){if(!isNaN(this.nextVal)){var t=this.nextVal;return this.nextVal=NaN,t}for(var e,i,r=!1;!r;){var a=void 0,s=void 0,o=void 0;do a=2*this.random()-1,s=2*this.random()-1,o=a*a+s*s;while(o>=1||o===0);var l=Math.sqrt(-2*Math.log(o)/o);e=this.mean+this.stdDev*a*l,i=this.mean+this.stdDev*s*l,(!this.truncated||this.isValidTruncated(e))&&(r=!0)}return(!this.truncated||this.isValidTruncated(i))&&(this.nextVal=this.convertValue(i)),this.convertValue(e)},n.prototype.convertValue=function(t){return this.dtype==null||this.dtype==="float32"?t:Math.round(t)},n.prototype.isValidTruncated=function(t){return t<=this.upper&&t>=this.lower},n}(),cx=function(){function n(t,e,i,r){this.alpha=t,this.beta=1/e,this.dtype=i;var a=r||Math.random();this.randu=Bc(a.toString()),this.randn=new zc(0,1,i,!1,this.randu()),t<1?this.d=t+2/3:this.d=t-1/3,this.c=1/Math.sqrt(9*this.d)}return n.prototype.nextValue=function(){for(var t,e,i,r,a,s;;){do r=this.randn.nextValue(),s=1+this.c*r;while(s<=0);if(s*=s*s,t=r*r,e=1-.331*t*t,i=.5*t+this.d*(1-s+Math.log(s)),a=this.randu(),a<e||Math.log(a)<i)break}return s=1/this.beta*this.d*s,this.alpha<1&&(s*=Math.pow(this.randu(),1/this.alpha)),this.convertValue(s)},n.prototype.convertValue=function(t){return this.dtype==="float32"?t:Math.round(t)},n}(),hx=function(){function n(t,e,i,r){var a=this;if(t===void 0&&(t=0),e===void 0&&(e=1),this.canReturnFloat=function(){return a.dtype==null||a.dtype==="float32"},this.min=t,this.range=e-t,this.dtype=i,r==null&&(r=Math.random()),typeof r=="number"&&(r=r.toString()),!this.canReturnFloat()&&this.range<=1)throw new Error("The difference between "+t+" - "+e+" <= 1 and dtype is not float");this.random=Bc(r)}return n.prototype.convertValue=function(t){return this.canReturnFloat()?t:Math.round(t)},n.prototype.nextValue=function(){return this.convertValue(this.min+this.range*this.random())},n}();function dx(n,t,e,i,r){if(e===void 0&&(e=1),i===void 0&&(i="float32"),e==null&&(e=1),i==null&&(i="float32"),i!=="float32"&&i!=="int32")throw new Error("Unsupported data type "+i);for(var a=new cx(t,e,i,r),s=Tn(n,i),o=0;o<s.values.length;o++)s.values[o]=a.nextValue();return s.toTensor()}var px=U({randomGamma_:dx});function fx(n,t,e,i,r){if(t===void 0&&(t=0),e===void 0&&(e=1),i!=null&&i==="bool")throw new Error("Unsupported data type "+i);for(var a=new zc(t,e,i,!1,r),s=Tn(n,i),o=0;o<s.values.length;o++)s.values[o]=a.nextValue();return s.toTensor()}var mx=U({randomNormal_:fx});function gx(n,t,e,i,r){t===void 0&&(t=0),e===void 0&&(e=1),i===void 0&&(i="float32");for(var a=Tn(n,i),s=new hx(t,e,null,r),o=0;o<a.values.length;o++)a.values[o]=s.nextValue();return a.toTensor()}var Lg=U({randomUniform_:gx});function Dr(n,t){Ri(n);var e=An(n,t);if(e.length!==1)throw new Error("tensor1d() requires values to be a flat/TypedArray");var i=null;return ni(n,i,e,t)}function Pc(n,t,e,i){if(e===void 0&&(e=1),i===void 0&&(i="float32"),e===0)throw new Error("Cannot have a step of zero");var r=function(){var s=n===t,o=n<t&&e<0,l=t<n&&e>1;if(s||o||l)return Hn([0],i);var u=Math.abs(Math.ceil((t-n)/e)),c=yr(u,i);t<n&&e===1&&(e=-1),c[0]=n;for(var h=1;h<c.length;h++)c[h]=c[h-1]+e;return Dr(c,i)},a={start:n,stop:t,step:e,dtype:i};return z.runKernelFunc(r,{},null,Sf,a)}function vx(n){var t=O(n,"x","reciprocal"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.reciprocal(t);return r([t]),a},e,null,au)}var Ig=U({reciprocal_:vx});function yx(n){var t=O(n,"x","relu"),e=function(r,a){return a([t]),t.dtype==="bool"?ue(t,"int32"):r.relu(t)},i={x:t};return z.runKernelFunc(e,i,null,su)}var Ra=U({relu_:yx});function bx(n){var t=O(n,"x","relu6"),e=function(r,a){return a([t]),t.dtype==="bool"?ue(t,"int32"):r.relu6(t)},i={x:t};return z.runKernelFunc(e,i,null,cu)}var _c=U({relu6_:bx});function wx(n,t){var e=O(n,"x","reverse"),i=function(s){var o=Ze(t,e.shape);if(e.rank===0)return Di(e);var l=s.reverse(e,o);return V(l,e.shape)},r={x:e},a={dims:t};return z.runKernelFunc(i,r,null,hu,a)}var qn=U({reverse_:wx});function Sx(n){var t=O(n,"x","reverse");return E(t.rank===1,function(){return"Error in reverse1D: x must be rank 1 but got rank "+t.rank+"."}),qn(t,0)}var Lx=U({reverse1d_:Sx});function Ix(n,t){var e=O(n,"x","reverse");return E(e.rank===2,function(){return"Error in reverse2D: x must be rank 2 but got rank "+e.rank+"."}),qn(e,t)}var Ax=U({reverse2d_:Ix});function Tx(n,t){var e=O(n,"x","reverse");return E(e.rank===3,function(){return"Error in reverse3D: x must be rank 3 but got rank "+e.rank+"."}),qn(e,t)}var Nx=U({reverse3d_:Tx});function xx(n,t){var e=O(n,"x","reverse");return E(e.rank===4,function(){return"Error in reverse4D: x must be rank 4 but got rank "+e.rank+"."}),qn(e,t)}var Cx=U({reverse4d_:xx});function Rx(n){var t=O(n,"x","round"),e={x:t};return z.runKernelFunc(function(i){return i.round(t)},e,null,du)}var Ag=U({round_:Rx});function Ox(n){var t=O(n,"x","rsqrt"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.rsqrt(t);return r([t]),a},e,null,pu)}var Mc=U({rsqrt_:Ox});function Ex(n){var t=O(n,"x","selu"),e=function(r,a){var s=r.selu(t);return a([t]),s},i={x:t};return z.runKernelFunc(e,i,null,mu)}var Tg=U({selu_:Ex});function Dx(n,t,e,i,r,a,s){a===void 0&&(a=[1,1]),s===void 0&&(s="NHWC");var o=O(n,"x","separableConv2d"),l=O(t,"depthwiseFilter","separableConv2d"),u=O(e,"pointwiseFilter","separableConv2d"),c=o,h=!1;if(o.rank===3&&(h=!0,c=V(o,[1,o.shape[0],o.shape[1],o.shape[2]])),s==="NCHW")throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");E(c.rank===4,function(){return"Error in separableConv2d: input must be rank 4, but got "+("rank "+c.rank+".")}),E(l.rank===4,function(){return"Error in separableConv2d: depthwise filter must be rank 4, but "+("got rank "+l.rank+".")}),E(u.rank===4,function(){return"Error in separableConv2d: pointwise filter must be rank 4, but "+("got rank "+l.rank+".")}),E(u.shape[0]===1,function(){return"Error in separableConv2d: the first dimension of pointwise filter "+(" must be 1, but got "+u.shape[0]+".")}),E(u.shape[1]===1,function(){return"Error in separableConv2d: the second dimension of pointwise "+("filter must be 1, but got "+u.shape[1]+".")});var d=l.shape[2],p=l.shape[3];E(u.shape[2]===d*p,function(){return"Error in separableConv2d: the third dimension of pointwise filter "+("must be "+d*p+", ")+("but got "+u.shape[2]+".")});var f=Ta(c,l,i,r,s,a),m=1,g=xr(f,u,m,"valid",s);return h?V(g,[g.shape[1],g.shape[2],g.shape[3]]):g}var Ng=U({separableConv2d_:Dx});function kx(n,t){return de(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u,c,l,h;return pe(this,function(d){switch(d.label){case 0:return e=O(n,"x","setdiff1d"),i=O(t,"y","setdiff1d"),E(e.dtype===i.dtype,function(){return"x and y should have the same dtype, but got x ("+e.dtype+") and y ("+i.dtype+")."}),E(e.rank===1,function(){return"x should be 1D tensor, but got x ("+e.shape+")."}),E(i.rank===1,function(){return"y should be 1D tensor, but got y ("+i.shape+")."}),[4,e.data()];case 1:return r=d.sent(),[4,i.data()];case 2:for(a=d.sent(),s=new Set(a),o=0,l=0;l<r.length;l++)s.has(r[l])||o++;for(u=new Ls([o],e.dtype),c=new Ls([o],"int32"),l=0,h=0;l<r.length;l++)s.has(r[l])||(u.values[h]=r[l],c.values[h]=l,h++);return[2,[u.toTensor(),c.toTensor()]]}})})}var Fx=kx;function Wx(n){var t=O(n,"x","sign"),e={x:t};return z.runKernelFunc(function(i){return i.sign(t)},e,null,bu)}var xg=U({sign_:Wx});function Ux(n){var t=O(n,"x","sin"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.sin(t);return r([t]),a},e,null,vu)}var Hc=U({sin_:Ux});function Bx(n){var t=O(n,"x","sinh"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.sinh(t);return r([t]),a},e,null,yu)}var Vc=U({sinh_:Bx});function zx(n,t,e){var i=O(n,"x","slice1d");return E(i.rank===1,function(){return"slice1d expects a rank-1 tensor, but got a rank-"+i.rank+" tensor"}),Pe(i,[t],[e])}var Px=U({slice1d_:zx});function _x(n,t,e){var i=O(n,"x","slice2d");return E(i.rank===2,function(){return"slice2d expects a rank-2 tensor, but got a rank-"+i.rank+" tensor"}),Pe(i,t,e)}var Mx=U({slice2d_:_x});function Hx(n,t,e){var i=O(n,"x","slice3d");return E(i.rank===3,function(){return"slice3d expects a rank-3 tensor, but got a rank-"+i.rank+" tensor"}),Pe(i,t,e)}var Vx=U({slice3d_:Hx});function qx(n,t,e){var i=O(n,"x","slice4d");return E(i.rank===4,function(){return"slice4d expects a rank-4 tensor, but got a rank-"+i.rank+" tensor"}),Pe(i,t,e)}var Gx=U({slice4d_:qx});function Yx(n,t){t===void 0&&(t=-1);var e=O(n,"logits","softmax","float32");if(t===-1&&(t=e.rank-1),t!==e.rank-1)throw Error("Softmax along a non-last dimension is not yet supported. "+("Logits was rank "+e.rank+" and dim was "+t));var i={logits:e},r={dim:t};return z.runKernelFunc(function(a,s){var o=a.softmax(e,t);return s([o]),o},i,null,Nu,r)}var Cg=U({softmax_:Yx});function Kx(n){E(n.dtype==="complex64",function(){return"The dtype for tf.spectral.fft() must be complex64 "+("but got "+n.dtype+".")});var t={input:n};return z.runKernelFunc(function(e){var i=n.shape[n.shape.length-1],r=n.size/i,a=n.as2D(r,i),s=e.fft(a);return s.reshape(n.shape)},t,null,Zp)}var Gs=U({fft_:Kx});function jx(n){E(n.dtype==="complex64",function(){return"The dtype for tf.spectral.ifft() must be complex64 "+("but got "+n.dtype+".")});var t={input:n};return z.runKernelFunc(function(e){var i=n.shape[n.shape.length-1],r=n.size/i,a=V(n,[r,i]),s=e.ifft(a);return V(s,n.shape)},t,null,rf)}var Oa=U({ifft_:jx});function $x(n){var t=n.shape[n.shape.length-1],e=n.size/t,i;if(t<=2){var r=V(n,[e,t]);i=Oa(r)}else{var a=[e,2*(t-1)],s=V(Ca(n),[e,t]),o=V(Bs(n),[e,t]),l=qn(Pe(s,[0,1],[e,t-2]),1),u=J(qn(Pe(o,[0,1],[e,t-2]),1),we(-1)),c=Nt([s,l],1),h=Nt([o,u],1),r=V(ti(c,h),[a[0],a[1]]);i=Oa(r)}if(i=Ca(i),n.rank===3&&n.shape[0]!==0){var d=i,p=n.shape[0];i=V(i,[p,i.shape[0]/p,i.shape[1]]),d.dispose()}return i}var qc=U({irfft_:$x});function Rg(n,t,e){e===void 0&&(e=0);var i=[];if(typeof t=="number")E(n.shape[e]%t===0,function(){return"Number of splits must evenly divide the axis."}),i=new Array(t).fill(n.shape[e]/t);else{var r=t.reduce(function(o,l){return l===-1&&(o+=1),o},0);E(r<=1,function(){return"There should be only one negative value in split array."});var a=t.indexOf(-1);if(a!==-1){var s=t.reduce(function(o,l){return l>0?o+l:o});t[a]=n.shape[e]-s}E(n.shape[e]===t.reduce(function(o,l){return o+l}),function(){return"The sum of sizes must match the size of the axis dimension."}),i=t}return i}function Xx(n,t,e){e===void 0&&(e=0);var i=O(n,"x","split"),r=function(o,l){var u=Ze(e,i.shape)[0],c=Rg(i,t,u);return o.split(i,c,u)},a={x:i},s={numOrSizeSplits:t,axis:e};return z.runKernelFunc(r,a,null,Tu,s)}var kr=U({split_:Xx});function Jx(n,t){E(n.dtype==="float32",function(){return"The dtype for rfft() must be real value but got "+n.dtype});var e=n.shape[n.shape.length-1],i=n.size/e,r;if(t!=null&&t<e){var a=n.shape.map(function(v){return 0}),s=n.shape.map(function(v){return v});s[n.shape.length-1]=t,r=Pe(n,a,s),e=t}else if(t!=null&&t>e){var o=n.shape.map(function(v){return v});o[n.shape.length-1]=t-e,r=Nt([n,Hn(o)],n.shape.length-1),e=t}else r=n;var l=Ee(r),u=V(ti(r,l),[i,e]),c=Gs(u),h=Math.floor(e/2)+1,d=Ca(c),p=Bs(c),f=kr(d,[h,e-h],d.shape.length-1),m=kr(p,[h,e-h],p.shape.length-1),g=r.shape.slice();return g[r.shape.length-1]=h,V(ti(f[0],m[0]),g)}var Ys=U({rfft_:Jx});function Zx(n){var t=O(n,"x","sqrt"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.sqrt(t);return r([t]),a},e,null,Lu)}var Bt=U({sqrt_:Zx});function Qx(n,t){var e,i=O(n,"a","squaredDifference"),r=O(t,"b","squaredDifference");e=rt(i,r),i=e[0],r=e[1],Qe(i.shape,r.shape);var a=function(l,u){var c=l.squaredDifference(i,r);return u([i,r]),c},s={a:i,b:r},o={};return z.runKernelFunc(a,s,null,xu,o)}var Ks=U({squaredDifference_:Qx});function eC(n,t){var e=O(n,"x","squeeze");return V(e,Uf(e.shape,t).newShape)}var js=U({squeeze_:eC});function tC(n,t){t===void 0&&(t=0);var e=ba(n,"tensors","stack");if(E(e.length>=1,function(){return"Pass at least one tensor to tf.stack"}),e.length===1)return hn(e[0],t);var i=e[0].rank,r=e[0].shape,a=e[0].dtype;E(t<=i,function(){return"Axis must be <= rank of the tensor"}),e.forEach(function(o){Be(r,o.shape,"All tensors passed to stack must have matching shapes"),E(a===o.dtype,function(){return"All tensors passed to stack must have matching dtypes"})});var s=e.map(function(o){return hn(o,t)});return Nt(s,t)}var Vi=U({stack_:tC});function nC(n,t){t===void 0&&(t=0);var e=O(n,"x","step"),i={x:e},r={alpha:t};return z.runKernelFunc(function(a){return a.step(e,t)},i,null,Uu,r)}var Fr=U({step_:nC});function iC(n,t,e,i,r,a,s,o,l){r===void 0&&(r=0),a===void 0&&(a=0),s===void 0&&(s=0),o===void 0&&(o=0),l===void 0&&(l=0);var u=O(n,"x","stridedSlice"),c=function(p){i==null&&(i=new Array(t.length));var f=xs(s);if(f.length>1)throw new Error("Multiple ellipses in slice is not allowed.");if(s!==0&&o!==0)throw new Error("Using both ellipsisMask and newAxisMask is not yet supported.");if(s!==0&&l!==0)throw new Error("Using both ellipsisMask and shrinkAxisMask is not yet supported.");var m=u.rank-t.length,g=xs(o),v=u.shape.slice();g.forEach(function(W){t[W]=0,e[W]=1,v.splice(W,0,1)}),u=V(u,v);var b=Em(u.shape,f,m,t,e,i,r,a,s),w=b.begin,S=b.end,L=b.strides;t=w,e=S,i=L;var x=xs(l);x.forEach(function(W){e[W]=t[W]+1,i[W]=1});var C=Lm(t,e,i),R=C.filter(function(W,F){return x.indexOf(F)===-1}),D=i.every(function(W){return W===1});if(D)return V(Pe(u,t,C),R);var k=p.stridedSlice(u,t,e,i);return V(k,R)},h={x:u},d={begin:t,end:e,strides:i,beginMask:r,endMask:a,ellipsisMask:s,newAxisMask:o,shrinkAxisMask:l};return z.runKernelFunc(c,h,null,Cf,d)}var Og=U({stridedSlice_:iC});function rC(n){var t=O(n,"x","tan"),e={x:t};return z.runKernelFunc(function(i,r){var a=i.tan(t);return r([t]),a},e,null,Ru)}var Eg=U({tan_:rC});function Ea(n,t,e){if(Ri(n),t!=null&&t.length!==2)throw new Error("tensor2d() requires shape to have two numbers");var i=An(n,e);if(i.length!==2&&i.length!==1)throw new Error("tensor2d() requires values to be number[][] or flat/TypedArray");if(i.length===1&&t==null)throw new Error("tensor2d() requires shape to be provided when `values` are a flat/TypedArray");return ni(n,t,i,e)}function aC(n,t,e){if(Ri(n),t!=null&&t.length!==4)throw new Error("tensor4d() requires shape to have four numbers");var i=An(n,e);if(i.length!==4&&i.length!==1)throw new Error("tensor4d() requires values to be number[][][][] or flat/TypedArray");if(i.length===1&&t==null)throw new Error("tensor4d() requires shape to be provided when `values` are a flat array");return ni(n,t,i,e)}function sC(n,t,e){if(Ri(n),t!=null&&t.length!==5)throw new Error("tensor5d() requires shape to have five numbers");var i=An(n,e);if(i.length!==5&&i.length!==1)throw new Error("tensor5d() requires values to be number[][][][][] or flat/TypedArray");if(i.length===1&&t==null)throw new Error("tensor5d() requires shape to be provided when `values` are a flat array");return ni(n,t,i,e)}function oC(n,t,e){if(Ri(n),t!=null&&t.length!==6)throw new Error("tensor6d() requires shape to have six numbers");var i=An(n,e);if(i.length!==6&&i.length!==1)throw new Error("tensor6d() requires values to be number[][][][][][] or flat/TypedArray");if(i.length===1&&t==null)throw new Error("tensor6d() requires shape to be provided when `values` are a flat array");return t=t||i,ni(n,t,i,e)}function lC(n,t,e){t===void 0&&(t=1),e===void 0&&(e=!0);var i=O(n,"x","topk");if(i.rank===0)throw new Error("topk() expects the input to be of rank 1 or higher");var r=i.shape[i.shape.length-1];if(t>r)throw new Error("'k' passed to topk() must be <= the last dimension ("+r+") "+("but got "+t));var a={x:i},s={k:t,sorted:e},o=z.runKernelFunc(function(c){return c.topk(i,t,e)},a,null,Rf,s),l=o[0],u=o[1];return{values:l,indices:u}}var Dg=U({topk_:lC});function uC(n,t,e,i,r){if(t===void 0&&(t=0),e===void 0&&(e=1),i!=null&&i==="bool")throw new Error("Unsupported data type $ { dtype }");for(var a=new zc(t,e,i,!0,r),s=Tn(n,i),o=0;o<s.values.length;o++)s.values[o]=a.nextValue();return s.toTensor()}var cC=U({truncatedNormal_:uC});function hC(n,t){t===void 0&&(t=0);var e=O(n,"x","unique",null);E(e.rank>0,function(){return"The input tensor must be at least 1D"});var i={x:e},r={axis:t},a=z.runKernel(Of,i,r),s=a[0],o=a[1];return{values:s,indices:o}}var kg=U({unique_:hC});function dC(n,t,e){var i=O(n,"x","unsortedSegmentSum"),r=O(t,"segmentIds","unsortedSegmentSum","int32");E(it(e),function(){return"numSegments must be of dtype int"});var a={x:i,segmentIds:r},s={numSegments:e},o=function(l,u){var c=l.unsortedSegmentSum(i,r,e);return u([r]),c};return z.runKernelFunc(o,a,null,Fu,s)}var Gc=U({unsortedSegmentSum_:dC});function pC(n,t){t===void 0&&(t=0);var e=O(n,"x","unstack");E(t>=-e.shape.length&&t<e.shape.length,function(){return"Axis = "+t+" is not in [-"+e.shape.length+", "+e.shape.length+")"}),t<0&&(t+=e.shape.length);var i={value:e},r={axis:t},a=function(s){return s.unstack(e,t)};return z.runKernelFunc(a,i,null,ku,r)}var $s=U({unstack_:pC});function fC(n,t,e,i){return t===void 0&&(t=!0),z.makeVariable(n,t,e,i)}function Fg(n,t){for(var e=[],i=0;i<t.length;i++)t[i]&&e.push(i);for(var r=Tn(n,"int32"),a=Tn([e.length,n.length],"int32"),i=0;i<e.length;i++){var s=r.indexToLoc(e[i]),o=i*n.length;a.values.set(s,o)}return a.toTensor()}function mC(n){return de(this,void 0,void 0,function(){var t,e,i;return pe(this,function(r){switch(r.label){case 0:return t=O(n,"condition","whereAsync","bool"),[4,t.data()];case 1:return e=r.sent(),i=Fg(t.shape,e),n!==t&&t.dispose(),[2,i]}})})}var Wg=mC;function gC(n,t,e){return de(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p,f,m;return pe(this,function(g){switch(g.label){case 0:for(i=O(n,"tensor","boolMask"),r=O(t,"mask","boolMask","bool"),a=e??0,s=r.rank,o=i.shape,E(s>0,function(){return"mask cannot be scalar"}),Be(o.slice(a,a+s),r.shape,"mask's shape must match the first K dimensions of tensor's shape,"),l=1,u=a;u<a+s;u++)l*=o[u];return c=o.slice(0,a).concat([l],o.slice(a+s)),h=V(i,c),d=V(r,[-1]),[4,Wg(d)];case 1:return p=g.sent(),f=js(p,[1]),m=Us(h,f,a),n!==i&&i.dispose(),t!==r&&r.dispose(),f.dispose(),h.dispose(),d.dispose(),p.dispose(),[2,m]}})})}var vC=gC;function yC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","notEqualStrict"),i=O(t,"b","notEqualStrict");return Be(e.shape,i.shape,"Error in notEqualStrict: "),Vs(e,i)}function bC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","lessStrict"),i=O(t,"b","lessStrict");return Be(e.shape,i.shape,"Error in lessStrict: "),zs(e,i)}function wC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","equalStrict"),i=O(t,"b","equalStrict");return Be(e.shape,i.shape,"Error in equalStrict: "),Na(e,i)}function SC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","lessEqualStrict"),i=O(t,"b","lessEqualStrict");return Be(e.shape,i.shape,"Error in lessEqualStrict: "),Ui(e,i)}function LC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","greaterStrict"),i=O(t,"b","greaterStrict");return Be(e.shape,i.shape,"Error in greaterStrict: "),li(e,i)}function IC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","greaterEqualStrict"),i=O(t,"b","greaterEqualStrict");return Be(e.shape,i.shape,"Error in greaterEqualStrict: "),Wi(e,i)}var Ug=U({equalStrict_:wC}),Bg=U({greaterEqualStrict_:IC}),zg=U({greaterStrict_:LC}),Pg=U({lessEqualStrict_:SC}),_g=U({lessStrict_:bC}),Mg=U({notEqualStrict_:yC});function AC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","addStrict"),i=O(t,"b","addStrict");return Be(e.shape,i.shape,"Error in addStrict: "),fe(e,i)}function TC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","subStrict"),i=O(t,"b","subStrict");return Be(e.shape,i.shape,"Error in subStrict: "),ve(e,i)}function NC(n,t){return Lt("strict variants of ops have been deprecated and will be removed in future"),Be(n.shape,t.shape,"Error in powStrict: "),Vn(n,t)}function xC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","mul"),i=O(t,"b","mul");return Be(e.shape,i.shape,"Error in multiplyStrict: "),J(e,i)}function CC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","div"),i=O(t,"b","div");return Be(e.shape,i.shape,"Error in divideStrict: "),Ie(e,i)}function RC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","modStrict"),i=O(t,"b","modStrict");return Be(e.shape,i.shape,"Error in modStrict: "),Fc(e,i)}function OC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","minimumStrict"),i=O(t,"b","minimumStrict");return Be(e.shape,i.shape,"Error in minimumStrict: "),Hs(e,i)}function EC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","maximumStrict"),i=O(t,"b","maximumStrict");return Be(e.shape,i.shape,"Error in maximumStrict: "),Rr(e,i)}function DC(n,t){Lt("strict variants of ops have been deprecated and will be removed in future");var e=O(n,"a","squaredDifferenceStrict"),i=O(t,"b","squaredDifferenceStrict");return Be(e.shape,i.shape,"Error in squaredDifferenceStrict: "),Ks(e,i)}var Hg=U({addStrict_:AC}),Vg=U({divStrict_:CC}),qg=U({maximumStrict_:EC}),Gg=U({minimumStrict_:OC}),Yg=U({modStrict_:RC}),Kg=U({mulStrict_:xC}),jg=U({powStrict_:NC}),$g=U({squaredDifferenceStrict_:DC}),Xg=U({subStrict_:TC});function kC(n,t,e,i){t===void 0&&(t="euclidean"),e===void 0&&(e=null),i===void 0&&(i=!1),n=O(n,"x","norm");var r=Jg(n,t,e),a=r.shape;if(i){var s=Ze(e,n.shape);a=Jt(r.shape,s)}return V(r,a)}function Jg(n,t,e){if(e===void 0&&(e=null),n.rank===0)return Ht(n);if(n.rank!==1&&e===null)return Jg(V(n,[-1]),t,e);if(n.rank===1||typeof e=="number"||Array.isArray(e)&&e.length===1){if(t===1)return Ae(Ht(n),e);if(t===Infinity)return zi(Ht(n),e);if(t===-Infinity)return Ms(Ht(n),e);if(t==="euclidean"||t===2)return Bt(Ae(Vn(Ht(n),we(2,"int32")),e));throw new Error("Error in norm: invalid ord value: "+t)}if(Array.isArray(e)&&e.length===2){if(t===1)return zi(Ae(Ht(n),e[0]),e[1]-1);if(t===Infinity)return zi(Ae(Ht(n),e[1]),e[0]);if(t===-Infinity)return Ms(Ae(Ht(n),e[1]),e[0]);if(t==="fro"||t==="euclidean")return Bt(Ae(Ge(n),e));throw new Error("Error in norm: invalid ord value: "+t)}throw new Error("Error in norm: invalid axis: "+e)}var Xs=U({norm_:kC});function FC(n,t,e,i,r){r===void 0&&(r=!0);var a=O(n,"v","movingAverage"),s=O(t,"x","movingAverage"),o=O(e,"decay","movingAverage");jf(a,s),E(rn(a.shape,s.shape),function(){return"Shape mismatch in v and x"});var l=we(1),u=ve(l,o),c=J(ve(s,a),u);if(r){E(i!=null,function(){return"When using zeroDebias: true, step is required."});var h=O(i,"step","movingAverage");c=Ie(c,ve(l,Vn(o,h)))}return fe(a,c)}var WC=U({movingAverage_:FC});function UC(n,t,e){var i=O(n,"indices","scatterND","int32"),r=O(t,"updates","scatterND");pc(r,i,e);var a=function(l){return l.scatterND(i,r,e)},s={indices:i,updates:r},o={shape:e};return z.runKernelFunc(a,s,null,Tf,o)}var BC=U({scatterND_:UC});function zC(n,t,e,i){if(n.dtype!=="int32")throw new Error("tf.sparseToDense() expects the indices to be int32 type,"+(" but the dtype was "+n.dtype+"."));if(n.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix,"+(" but got shape "+n.shape+"."));var r=n.rank>0?n.shape[0]:1,a=n.rank>1?n.shape[1]:1;if(e.length!==a)throw new Error("outputShape has incorrect number of elements:,"+(" "+e.length+", should be: "+a+"."));var s=t.size;if(!(t.rank===0||t.rank===1&&s===r))throw new Error("sparseValues has incorrect shape "+(t.shape+", should be [] or ["+r+"]"));if(t.dtype!==i.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}function PC(n,t,e,i){i===void 0&&(i=0);var r=O(n,"sparseIndices","sparseToDense","int32"),a=O(t,"sparseValues","sparseToDense"),s=O(i,"defaultValue","sparseToDense",a.dtype);zC(r,a,e,s);var o={sparseIndices:r,sparseValues:a,defaultValue:s},l={outputShape:e};return z.runKernelFunc(function(u){return u.sparseToDense(r,a,e,s)},o,null,xf,l)}var _C=U({sparseToDense_:PC});function MC(n,t){var e=O(t,"indices","gatherND","int32"),i=O(n,"x","gatherND"),r=function(s){return s.gatherND(i,e)},a={params:i,indices:e};return z.runKernelFunc(r,a,null,tf)}var HC=U({gatherND_:MC});function VC(n,t){if(t==null)return n.shape.slice();if(rn(n.shape,t))return t;if(n.shape.length===t.length){for(var e=[],i=0;i<n.shape.length;i++)t[i]==null&&n.shape[i]!=null?e.push(n.shape[i]):e.push(t[i]);return e}return t}function qC(n,t,e,i){var r=O(n,"x","dropout");if(E(r.dtype==="float32",function(){return"x has to be a floating point tensor since it's going to be "+("scaled, but got a "+r.dtype+" tensor instead.")}),E(t>=0&&t<1,function(){return"rate must be a float in the range [0, 1), but got "+t+"."}),t===0)return n instanceof Y?r.clone():r;var a=VC(r,e),s=1-t,o=Ie(Ws(fe(Lg(a,0,1,"float32",i),s)),s);return J(r,o)}var GC=U({dropout_:qC});function Zg(n){return Math.floor(Math.pow(2,Math.ceil(Math.log(n)/Math.log(2))))}function Yc(n,t,e){for(var i=1-n%2,r=new Float32Array(n),a=0;a<n;++a){var s=2*Math.PI*a/(n+i-1);r[a]=t-e*Math.cos(s)}return Dr(r,"float32")}function YC(n,t,e){return e===void 0&&(e=1),de(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p,f,m,g,g;return pe(this,function(v){switch(v.label){case 0:return i=O(n,"predictions","inTopK"),r=O(t,"targets","inTopK"),E(i.rank>1,function(){return"inTopK() expects the predictions to be of rank 2 or higher, "+("but got "+i.rank)}),E(i.rank-1===r.rank,function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+(i.rank+" and targets rank "+r.rank)}),Be(i.shape.slice(0,i.shape.length-1),r.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),a=i.shape[i.shape.length-1],E(e>0&&e<=a,function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last "+("dimension ("+a+"), but got "+e)}),[4,i.data()];case 1:return s=v.sent(),[4,r.data()];case 2:for(o=v.sent(),l=[s.length/a,a],u=l[0],c=l[1],h=vs("bool",u),d=0;d<u;d++){for(p=d*c,f=s.subarray(p,p+c),m=[],g=0;g<f.length;g++)m.push({value:f[g],index:g});for(m.sort(function(b,w){return w.value-b.value}),h[d]=0,g=0;g<e;g++)if(m[g].index===o[d]){h[d]=1;break}}return n!==i&&i.dispose(),t!==r&&r.dispose(),[2,ii(h,r.shape,"bool")]}})})}var KC=YC;function jC(n,t,e,i,r,a,s){a===void 0&&(a="NHWC");var o=n;n.rank===3&&(o=V(n,[1,n.shape[0],n.shape[1],n.shape[2]]));var l=t;l.rank===3&&(l=V(t,[1,t.shape[0],t.shape[1],t.shape[2]])),E(o.rank===4,function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+(o.shape+".")}),E(l.rank===4,function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+(l.shape+".")}),E(e.length===4,function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+(e+".")});var u=a==="NHWC"?o.shape[3]:o.shape[1],c=a==="NHWC"?l.shape[3]:l.shape[1];E(u===e[2],function(){return"Error in conv2dDerFilter: depth of input "+u+") must "+("match input depth in filter ("+e[2]+".")}),E(c===e[3],function(){return"Error in conv2dDerFilter: depth of dy ("+c+") must "+("match output depth for filter ("+e[3]+").")}),s!=null&&E(it(r),function(){return"Error in conv2dDerFilter: pad must be an integer when using, "+("dimRoundingMode "+s+" but got pad "+r+".")});var h=function(f){var m=1,g=Sa(a),v=xn(o.shape,e,i,m,r,s,!1,g);return f.conv2dDerFilter(o,l,v)},d={x:o,dy:l},p={strides:i,pad:r,dataFormat:a,dimRoundingMode:s};return z.runKernelFunc(h,d,null,_p,p)}var Kc=U({conv2DBackpropFilter_:jC});function Js(n,t,e){if(e==null||e==="linear")return n;if(e==="relu")return J(n,Fr(t));throw new Error("Cannot compute gradient for fused activation "+e+".")}function Zs(n,t){var e=t,i=ft(n.shape,t.shape);return i.length>0&&(e=Ae(e,i)),V(e,n.shape)}function Qs(n,t,e){if(t==="linear")return n;if(t==="relu")return Ra(n);if(t==="elu")return Nc(n);if(t==="relu6")return _c(n);if(t==="prelu")return Uc(n,e);throw new Error("Unknown fused activation "+t+".")}var eo=function(n,t){var e=n>0;return!e||t==="linear"};function $C(n){var t=n.x,e=n.filter,i=n.strides,r=n.pad,a=n.dataFormat,s=a===void 0?"NHWC":a,o=n.dilations,l=o===void 0?[1,1]:o,u=n.dimRoundingMode,c=n.bias,h=n.activation,d=h===void 0?"linear":h,p=n.preluActivationWeights;if(d=d||"linear",eo(z.state.gradientDepth,d)===!1){var f=xr(t,e,i,r,s,l,u);return c!=null&&(f=fe(f,c)),Qs(f,d,p)}var m=O(t,"x","conv2d"),g=O(e,"filter","conv2d"),v=m,b=!1;m.rank===3&&(b=!0,v=V(m,[1,m.shape[0],m.shape[1],m.shape[2]])),E(v.rank===4,function(){return"Error in fused conv2d: input must be rank 4, but got rank "+(v.rank+".")}),E(g.rank===4,function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+(g.rank+".")}),u!=null&&E(it(r),function(){return"Error in fused conv2d: pad must be an integer when using, "+("dimRoundingMode "+u+" but got pad "+r+".")}),E(v.shape[3]===g.shape[2],function(){return"Error in conv2d: depth of input ("+v.shape[3]+") must match "+("input depth for filter "+g.shape[2]+".")}),E(Ut(i,l),function(){return"Error in conv2D: Either strides or dilations must be 1. "+("Got strides "+i+" and dilations '"+l+"'")}),E(s==="NHWC",function(){return"Error in conv2d: got dataFormat of "+s+" but only NHWC is currently supported."});var w=xn(v.shape,g.shape,i,l,r,u),S;c!=null&&(S=O(c,"bias","fused conv2d"),S=rt(S,m)[0],Qe(w.outShape,S.shape));var L;p!=null&&(L=O(p,"prelu weights","fused conv2d"));var x=function(F,P){var H=P,_=H[0],K=H[1],j=H[2],q=H[3],G=Js(F,j,d);E(oi(l),function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 "+("are not yet supported in gradients. Got dilations '"+l+"'")});var Z=Ic(K.shape,G,_,i,r),X=Kc(K,G,_.shape,i,r),ee=[Z,X];if(q!=null){var ne=Zs(q,G);ee.push(ne)}return ee},C=function(F){var P=F.fusedConv2d({input:v,filter:g,convInfo:w,bias:S,activation:d,preluActivationWeights:L});return P},R={x:v,filter:g,bias:S,preluActivationWeights:L},D={strides:i,pad:r,dataFormat:s,dilations:l,dimRoundingMode:u,activation:d};if(c==null){var k=Cn(function(F,P,H){var _=z.runKernelFunc(C,R,null,Pu,D);return H([P,F,_]),b&&(_=V(_,[_.shape[1],_.shape[2],_.shape[3]])),{value:_,gradFunc:x}});return k(v,g)}else{var W=Cn(function(F,P,H,_){var K=z.runKernelFunc(C,R,null,Pu,D);return _([P,F,K,H]),b&&(K=V(K,[K.shape[1],K.shape[2],K.shape[3]])),{value:K,gradFunc:x}});return W(v,g,S)}}var XC=U({fusedConv2d_:$C});function JC(n,t,e,i){var r=n;n.rank===3&&(r=V(n,[1,n.shape[0],n.shape[1],n.shape[2]]));var a=t;a.rank===3&&(a=V(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var s=function(l){return l.depthwiseConv2DDerFilter(r,a,i)},o={x:r,dy:a};return z.runKernelFunc(s,o,null,Gp)}var Qg=U({depthwiseConv2dNativeBackpropFilter_:JC});function ZC(n,t,e,i){var r=t,a=!1;t.rank===3&&(a=!0,r=V(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var s=function(u){return u.depthwiseConv2DDerInput(r,e,i)},o={dy:r},l=z.runKernelFunc(s,o,null,Yp);return a?V(l,[l.shape[1],l.shape[2],l.shape[3]]):l}var ev=U({depthwiseConv2dNativeBackpropInput_:ZC});function QC(n){var t=n.x,e=n.filter,i=n.strides,r=n.pad,a=n.dataFormat,s=a===void 0?"NHWC":a,o=n.dilations,l=o===void 0?[1,1]:o,u=n.dimRoundingMode,c=n.bias,h=n.activation,d=h===void 0?"linear":h,p=n.preluActivationWeights;if(eo(z.state.gradientDepth,d)===!1){var f=Ta(t,e,i,r,s,l,u);return c!=null&&(f=fe(f,c)),Qs(f,d,p)}var m=O(t,"x","depthwiseConv2d"),g=O(e,"filter","depthwiseConv2d"),v=m,b=!1;m.rank===3&&(b=!0,v=V(m,[1,m.shape[0],m.shape[1],m.shape[2]])),E(v.rank===4,function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got "+("rank "+v.rank+".")}),E(g.rank===4,function(){return"Error in fused depthwiseConv2d: filter must be rank 4, "+("but got rank "+g.rank+".")}),E(v.shape[3]===g.shape[2],function(){return"Error in fused depthwiseConv2d: number of input channels "+("("+v.shape[3]+") must match the inChannels dimension in ")+("filter "+g.shape[2]+".")}),l==null&&(l=[1,1]),E(Ut(i,l),function(){return"Error in fused depthwiseConv2d: Either strides or dilations must "+("be 1. Got strides "+i+" and dilations '"+l+"'")}),u!=null&&E(it(r),function(){return"Error in fused depthwiseConv2d: pad must be an integer when "+("using dimRoundingMode "+u+" but got pad "+r+".")});var w=xn(v.shape,g.shape,i,l,r,u,!0),S;c!=null&&(S=O(c,"bias","fused conv2d"),S=rt(S,m)[0],Qe(w.outShape,S.shape));var L;p!=null&&(L=O(p,"prelu weights","fused depthwiseConv2d"));var x=function(F,P){E(oi(l),function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations "+("'"+l+"'")});var H=P[0],_=P[1],K=P[2],j=P[3],q=Js(F,K,d),G=ev(_.shape,q,H,w),Z=Qg(_,q,H.shape,w);if(j!=null){var X=Zs(S,q);return[G,Z,X]}return[G,Z]},C=function(F){var P=F.fusedDepthwiseConv2D({input:v,filter:g,convInfo:w,bias:S,activation:d,preluActivationWeights:L});return P},R={x:v,filter:g,bias:S,preluActivationWeights:L},D={strides:i,pad:r,dataFormat:s,dilations:l,dimRoundingMode:u,activation:d};if(c==null){var k=Cn(function(F,P,H){var _=z.runKernelFunc(C,R,null,_u,D);return H([P,F,_]),b&&(_=V(_,[_.shape[1],_.shape[2],_.shape[3]])),{value:_,gradFunc:x}});return k(v,g)}else{var W=Cn(function(F,P,H,_){var K=z.runKernelFunc(C,R,null,_u,D);return _([P,F,K,H]),b&&(K=V(K,[K.shape[1],K.shape[2],K.shape[3]])),{value:K,gradFunc:x}});return W(v,g,S)}}var eR=U({fusedDepthwiseConv2d_:QC});function tR(n){var t,e=n.a,i=n.b,r=n.transposeA,a=r===void 0?!1:r,s=n.transposeB,o=s===void 0?!1:s,l=n.bias,u=n.activation,c=u===void 0?"linear":u,h=n.preluActivationWeights;if(eo(z.state.gradientDepth,c)===!1){var d=Fe(e,i,a,o);return l!=null&&(d=fe(d,l)),Qs(d,c,h)}var p=O(e,"a","fused matMul"),f=O(i,"b","fused matMul");t=rt(p,f),p=t[0],f=t[1];var m=a?p.shape[p.rank-2]:p.shape[p.rank-1],g=o?f.shape[f.rank-1]:f.shape[f.rank-2],v=a?p.shape[p.rank-1]:p.shape[p.rank-2],b=o?f.shape[f.rank-2]:f.shape[f.rank-1],w=p.shape.slice(0,-2),S=f.shape.slice(0,-2),L=st(w),x=st(S);E(p.rank>=2&&f.rank>=2&&p.rank===f.rank,function(){return"Error in fused matMul: inputs must have the same rank of at least "+("2, got ranks "+p.rank+" and "+f.rank+".")}),E(rn(w,S),function(){return"Error in fused matMul: outer dimensions ("+w+") and ("+(S+") of Tensors with shapes "+p.shape+" and ")+(f.shape+" must match.")}),E(m===g,function(){return"Error in fused matMul: inner shapes ("+m+") and ("+(g+") of Tensors with shapes "+p.shape+" and ")+(f.shape+" and transposeA="+a)+(" and transposeB="+o+" must match.")});var C=p.shape.slice(0,-2).concat([v,b]),R=a?V(p,[L,m,v]):V(p,[L,v,m]),D=o?V(f,[x,b,g]):V(f,[x,g,b]),k;l!=null&&(k=O(l,"bias","fused matMul"),k=rt(k,p)[0],Qe(C,k.shape));var W;h!=null&&(W=O(h,"prelu weights","fused matMul"));var F=function(q,G){var Z=G[0],X=G[1],ee=G[2],ne=G[3],ie=Js(V(q,ee.shape),ee,c),te,re;if(!a&&!o?(te=Fe(ie,X,!1,!0),re=Fe(Z,ie,!0,!1)):!a&&o?(te=Fe(ie,X,!1,!1),re=Fe(ie,Z,!0,!1)):a&&!o?(te=Fe(X,ie,!1,!0),re=Fe(Z,ie,!1,!1)):(te=Fe(X,ie,!0,!0),re=Fe(ie,Z,!0,!0)),l!=null){var le=Zs(ne,ie);return[te,re,le]}else return[te,re]},P=function(q){var G=q.fusedBatchMatMul({a:R,b:D,transposeA:a,transposeB:o,bias:k,activation:c,preluActivationWeights:W});return G},H={a:R,b:D,bias:k,preluActivationWeights:W},_={transposeA:a,transposeB:o,activation:c};if(l==null){var K=Cn(function(q,G,Z){var X=z.runKernelFunc(P,H,null,zu,_);return Z([q,G,X]),{value:V(X,C),gradFunc:F}});return K(R,D)}else{var j=Cn(function(q,G,Z,X){var ee=z.runKernelFunc(P,H,null,zu,_);return X([q,G,ee,Z]),{value:V(ee,C),gradFunc:F}});return j(R,D,k)}}var nR=U({fusedMatMul_:tR});var iR={__proto__:null,conv2d:XC,depthwiseConv2d:eR,matMul:nR};function rR(n){return Yc(n,.54,.46)}var aR=U({hammingWindow_:rR});function sR(n){return Yc(n,.5,.5)}var tv=U({hannWindow_:sR});function oR(n,t,e,i,r){i===void 0&&(i=!1),r===void 0&&(r=0);for(var a=0,s=[];a+t<=n.size;)s.push(Pe(n,a,t)),a+=e;if(i)for(;a<n.size;){var o=a+t-n.size,l=Nt([Pe(n,a,t-o),xc([o],r)]);s.push(l),a+=e}return s.length===0?Ea([],[0,t]):V(Nt(s),[s.length,t])}var nv=U({frame_:oR});function lR(n,t,e,i,r){r===void 0&&(r=tv),i==null&&(i=Zg(t));for(var a=nv(n,t,e),s=J(a,r(t)),o=[],l=0;l<a.shape[0];l++)o.push(Ys(Pe(s,[l,0],[1,t]),i));return Nt(o)}var uR=U({stft_:lR});function cR(n,t,e,i,r,a){var s=O(n,"image","cropAndResize"),o=O(t,"boxes","cropAndResize","float32"),l=O(e,"boxInd","cropAndResize","int32");r=r||"bilinear",a=a||0;var u=o.shape[0];E(s.rank===4,function(){return"Error in cropAndResize: image must be rank 4,"+("but got rank "+s.rank+".")}),E(o.rank===2&&o.shape[1]===4,function(){return"Error in cropAndResize: boxes must be have size ["+u+",4] "+("but had shape "+o.shape+".")}),E(l.rank===1&&l.shape[0]===u,function(){return"Error in cropAndResize: boxInd must be have size ["+u+"] "+("but had shape "+o.shape+".")}),E(i.length===2,function(){return"Error in cropAndResize: cropSize must be of length 2, but got "+("length "+i.length+".")}),E(i[0]>=1&&i[1]>=1,function(){return"cropSize must be atleast [1,1], but was "+i}),E(r==="bilinear"||r==="nearest",function(){return"method must be bilinear or nearest, but was "+r});var c=function(f){return f.cropAndResize(s,o,l,i,r,a)},h={image:s,boxes:o,boxInd:l},d={method:r,extrapolationValue:a,cropSize:i},p=z.runKernelFunc(c,h,null,Vp,d);return p}var hR=U({cropAndResize_:cR});function dR(n){var t=O(n,"image","flipLeftRight","float32");E(t.rank===4,function(){return"Error in flipLeftRight: image must be rank 4,"+("but got rank "+t.rank+".")});var e={image:t},i=z.runKernel(ef,e,{});return i}var pR=U({flipLeftRight_:dR});function fR(n,t,e,i){e===void 0&&(e=0),i===void 0&&(i=.5);var r=O(n,"image","rotateWithOffset","float32");E(r.rank===4,function(){return"Error in rotateWithOffset: image must be rank 4,"+("but got rank "+r.rank+".")});var a={image:r},s={radians:t,fillValue:e,center:i},o=z.runKernel(Ef,a,s);return o}var mR=U({rotateWithOffset_:fR});function Wr(n,t,e,i,r,a){i==null&&(i=.5),r==null&&(r=Number.NEGATIVE_INFINITY),a==null&&(a=0);var s=n.shape[0];return e=Math.min(e,s),E(0<=i&&i<=1,function(){return"iouThreshold must be in [0, 1], but was '"+i+"'"}),E(n.rank===2,function(){return"boxes must be a 2D tensor, but was of rank '"+n.rank+"'"}),E(n.shape[1]===4,function(){return"boxes must have 4 columns, but 2nd dimension was "+n.shape[1]}),E(t.rank===1,function(){return"scores must be a 1D tensor"}),E(t.shape[0]===s,function(){return"scores has incompatible shape with boxes. Expected "+s+", "+("but was "+t.shape[0])}),E(0<=a&&a<=1,function(){return"softNmsSigma must be in [0, 1], but was '"+a+"'"}),{maxOutputSize:e,iouThreshold:i,scoreThreshold:r,softNmsSigma:a}}function gR(n,t,e,i,r){i===void 0&&(i=.5),r===void 0&&(r=Number.NEGATIVE_INFINITY);var a=O(n,"boxes","nonMaxSuppression"),s=O(t,"scores","nonMaxSuppression"),o=Wr(a,s,e,i,r);e=o.maxOutputSize,i=o.iouThreshold,r=o.scoreThreshold;var l={maxOutputSize:e,iouThreshold:i,scoreThreshold:r};return z.runKernelFunc(function(u){return u.nonMaxSuppression(a,s,e,i,r)},{boxes:a,scores:s},null,vf,l)}var vR=U({nonMaxSuppression_:gR});function bR(n,t,e){var i=yR(n,t,e),r=i<0?-(i+1):i;n.splice(r,0,t)}function yR(n,t,e){return SR(n,t,e||wR)}function wR(n,t){return n>t?1:n<t?-1:0}function SR(n,t,e){for(var i=0,r=n.length,a=0,s=!1;i<r;){a=i+(r-i>>>1);var o=e(t,n[a]);o>0?i=a+1:(r=a,s=!o)}return s?i:-i-1}function iv(n,t,e,i,r){return jc(n,t,e,i,r,0).selectedIndices}function rv(n,t,e,i,r,a){return jc(n,t,e,i,r,0,!1,a,!0)}function av(n,t,e,i,r,a){return jc(n,t,e,i,r,a,!0)}function jc(n,t,e,i,r,a,s,o,l){s===void 0&&(s=!1),o===void 0&&(o=!1),l===void 0&&(l=!1);for(var u=[],c=0;c<t.length;c++)t[c]>r&&u.push({score:t[c],boxIndex:c,suppressBeginIndex:0});u.sort(sv);for(var h=a>0?-.5/a:0,d=[],p=[];d.length<e&&u.length>0;){var f=u.pop(),m=f.score,g=f.boxIndex,v=f.suppressBeginIndex;if(m<r)break;for(var b=!1,w=d.length-1;w>=v;--w){var S=LR(n,g,d[w]);if(S>=i){b=!0;break}if(f.score=f.score*IR(i,h,S),f.score<=r)break}f.suppressBeginIndex=d.length,b||(f.score===m?(d.push(g),p.push(f.score)):f.score>r&&bR(u,f,sv))}var L=d.length,x=e-L;o&&x>0&&(d.push.apply(d,new Array(x).fill(0)),p.push.apply(p,new Array(x).fill(0)));var C={selectedIndices:Dr(d,"int32")};return s&&(C.selectedScores=Dr(p,"float32")),l&&(C.validOutputs=we(L,"int32")),C}function LR(n,t,e){var i=n.subarray(t*4,t*4+4),r=n.subarray(e*4,e*4+4),a=Math.min(i[0],i[2]),s=Math.min(i[1],i[3]),o=Math.max(i[0],i[2]),l=Math.max(i[1],i[3]),u=Math.min(r[0],r[2]),c=Math.min(r[1],r[3]),h=Math.max(r[0],r[2]),d=Math.max(r[1],r[3]),p=(o-a)*(l-s),f=(h-u)*(d-c);if(p<=0||f<=0)return 0;var m=Math.max(a,u),g=Math.max(s,c),v=Math.min(o,h),b=Math.min(l,d),w=Math.max(v-m,0)*Math.max(b-g,0);return w/(p+f-w)}function IR(n,t,e){var i=Math.exp(t*e*e);return e<=n?i:0}function sv(n,t){return n.score-t.score||n.score===t.score&&t.boxIndex-n.boxIndex}function AR(n,t,e,i,r){return i===void 0&&(i=.5),r===void 0&&(r=Number.NEGATIVE_INFINITY),de(this,void 0,void 0,function(){var a,s,o,l,u,c,h;return pe(this,function(d){switch(d.label){case 0:return a=O(n,"boxes","nonMaxSuppressionAsync"),s=O(t,"scores","nonMaxSuppressionAsync"),o=Wr(a,s,e,i,r),e=o.maxOutputSize,i=o.iouThreshold,r=o.scoreThreshold,[4,Promise.all([a.data(),s.data()])];case 1:return l=d.sent(),u=l[0],c=l[1],h=iv(u,c,e,i,r),a!==n&&a.dispose(),s!==t&&s.dispose(),[2,h]}})})}var TR=AR;function NR(n,t,e,i,r,a){i===void 0&&(i=.5),r===void 0&&(r=Number.NEGATIVE_INFINITY),a===void 0&&(a=0);var s=O(n,"boxes","nonMaxSuppression"),o=O(t,"scores","nonMaxSuppression"),l=Wr(s,o,e,i,r,a);e=l.maxOutputSize,i=l.iouThreshold,r=l.scoreThreshold,a=l.softNmsSigma;var u={boxes:s,scores:o},c={maxOutputSize:e,iouThreshold:i,scoreThreshold:r,softNmsSigma:a},h=z.runKernel(bf,u,c);return{selectedIndices:h[0],selectedScores:h[1]}}var xR=U({nonMaxSuppressionWithScore_:NR});function CR(n,t,e,i,r,a){return i===void 0&&(i=.5),r===void 0&&(r=Number.NEGATIVE_INFINITY),a===void 0&&(a=0),de(this,void 0,void 0,function(){var s,o,l,u,c,h,d;return pe(this,function(p){switch(p.label){case 0:return s=O(n,"boxes","nonMaxSuppressionAsync"),o=O(t,"scores","nonMaxSuppressionAsync"),l=Wr(s,o,e,i,r,a),e=l.maxOutputSize,i=l.iouThreshold,r=l.scoreThreshold,a=l.softNmsSigma,[4,Promise.all([s.data(),o.data()])];case 1:return u=p.sent(),c=u[0],h=u[1],d=av(c,h,e,i,r,a),s!==n&&s.dispose(),o!==t&&o.dispose(),[2,d]}})})}var RR=CR;function OR(n,t,e,i,r,a){i===void 0&&(i=.5),r===void 0&&(r=Number.NEGATIVE_INFINITY),a===void 0&&(a=!1);var s=O(n,"boxes","nonMaxSuppression"),o=O(t,"scores","nonMaxSuppression"),l=Wr(s,o,e,i,r,null),u=l.maxOutputSize,c=l.iouThreshold,h=l.scoreThreshold,d={boxes:s,scores:o},p={maxOutputSize:u,iouThreshold:c,scoreThreshold:h,padToMaxOutputSize:a},f=z.runKernel(yf,d,p);return{selectedIndices:f[0],validOutputs:f[1]}}var ER=U({nonMaxSuppressionPadded_:OR});function DR(n,t,e,i,r,a){return i===void 0&&(i=.5),r===void 0&&(r=Number.NEGATIVE_INFINITY),a===void 0&&(a=!1),de(this,void 0,void 0,function(){var s,o,l,u,c,h,d,p,f,m;return pe(this,function(g){switch(g.label){case 0:return s=O(n,"boxes","nonMaxSuppressionAsync"),o=O(t,"scores","nonMaxSuppressionAsync"),l=Wr(s,o,e,i,r,null),u=l.maxOutputSize,c=l.iouThreshold,h=l.scoreThreshold,[4,Promise.all([s.data(),o.data()])];case 1:return d=g.sent(),p=d[0],f=d[1],m=rv(p,f,u,c,h,a),s!==n&&s.dispose(),o!==t&&o.dispose(),[2,m]}})})}var kR=DR;function FR(n,t,e){e===void 0&&(e=!1);var i=O(n,"images","resizeBilinear");E(i.rank===3||i.rank===4,function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got "+("rank "+i.rank+".")}),E(t.length===2,function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+(t+".")});var r=i,a=!1;i.rank===3&&(a=!0,r=V(i,[1,i.shape[0],i.shape[1],i.shape[2]]));var s=t[0],o=t[1],l=function(d,p){return p([r]),d.resizeBilinear(r,s,o,e)},u={images:r},c={alignCorners:e,size:t},h=z.runKernelFunc(l,u,null,uu,c);return a?V(h,[h.shape[1],h.shape[2],h.shape[3]]):h}var ov=U({resizeBilinear_:FR});function WR(n,t,e){e===void 0&&(e=!1);var i=O(n,"images","resizeNearestNeighbor");E(i.rank===3||i.rank===4,function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got "+("rank "+i.rank+".")}),E(t.length===2,function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+(t+".")}),E(i.dtype==="float32"||i.dtype==="int32",function(){return"`images` must have `int32` or `float32` as dtype"});var r=i,a=!1;i.rank===3&&(a=!0,r=V(i,[1,i.shape[0],i.shape[1],i.shape[2]]));var s=t[0],o=t[1],l={images:r},u={alignCorners:e,size:t},c=function(d,p){return p([r]),d.resizeNearestNeighbor(r,s,o,e)},h=z.runKernelFunc(c,l,null,lu,u);return a?V(h,[h.shape[1],h.shape[2],h.shape[3]]):h}var lv=U({resizeNearestNeighbor_:WR});function UR(n,t,e){E(t%1===0,function(){return"bandPart(): numLower must be an integer, got "+t+"."}),E(e%1===0,function(){return"bandPart(): numUpper must be an integer, got "+e+"."});var i=O(n,"a","bandPart");E(i.rank>=2,function(){return"bandPart(): Rank must be at least 2, got "+i.rank+"."});var r=i.shape,a=i.shape.slice(-2),s=a[0],o=a[1];if(!(t<=s))throw new Error("bandPart(): numLower ("+t+")"+(" must not be greater than the number of rows ("+s+")."));if(!(e<=o))throw new Error("bandPart(): numUpper ("+e+")"+(" must not be greater than the number of columns ("+o+")."));t<0&&(t=s),e<0&&(e=o);var l=V(Pc(0,s,1,"int32"),[-1,1]),u=Pc(0,o,1,"int32"),c=ve(l,u),h=Pi(Ui(c,we(+t,"int32")),Wi(c,we(-e,"int32"))),d=Hn([s,o],i.dtype);return V(Vi($s(V(i,[-1,s,o])).map(function(p){return un(h,p,d)})),r)}var BR=U({bandPart_:UR});function zR(n){var t;if(Array.isArray(n)){t=!1,E(n!=null&&n.length>0,function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"});for(var e=n[0].shape[0],i=function(l){E(n[l].shape[0]===e,function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: "+("("+n[l].shape[0]+" vs. "+e+")")})},r=1;r<n.length;++r)i(r)}else t=!0,n=kr(n,n.shape[0],0).map(function(l){return js(l,[0])});E(n.length<=n[0].shape[0],function(){return"Gram-Schmidt: Number of vectors ("+n.length+") exceeds "+("number of dimensions ("+n[0].shape[0]+").")});for(var a=[],s=n,o=function(l){a.push(z.tidy(function(){var u=s[l];if(l>0)for(var c=0;c<l;++c){var h=J(Ae(J(a[c],u)),a[c]);u=ve(u,h)}return Ie(u,Xs(u,"euclidean"))}))},r=0;r<n.length;++r)o(r);return t?Vi(a,0):a}var PR=U({gramSchmidt_:zR});function _R(n,t){if(t===void 0&&(t=!1),E(n.rank>=2,function(){return"qr() requires input tensor to have a rank >= 2, but got rank "+n.rank}),n.rank===2)return uv(n,t);var e=n.shape.slice(0,n.shape.length-2).reduce(function(l,u){return l*u}),i=$s(V(n,[e,n.shape[n.shape.length-2],n.shape[n.shape.length-1]]),0),r=[],a=[];i.forEach(function(l){var u=uv(l,t),c=u[0],h=u[1];r.push(c),a.push(h)});var s=V(Vi(r,0),n.shape),o=V(Vi(a,0),n.shape);return[s,o]}function uv(n,t){return t===void 0&&(t=!1),z.tidy(function(){E(n.shape.length===2,function(){return"qr2d() requires a 2D Tensor, but got a "+n.shape.length+"D Tensor."});for(var e=n.shape[0],i=n.shape[1],r=ug(e),a=Di(n),s=Ea([[1]],[1,1]),o=Di(s),l=e>=i?i:e,u=function(h){var d,p=a,f=o,m=r;d=z.tidy(function(){var g=Pe(a,[h,h],[e-h,1]),v=Xs(g),b=Pe(a,[h,h],[1,1]),w=un(li(b,0),Ea([[-1]]),Ea([[1]])),S=ve(b,J(w,v)),L=Ie(g,S);L.shape[0]===1?o=Di(s):o=Nt([s,Pe(L,[1,0],[L.shape[0]-1,L.shape[1]])],0);var x=mt(Ie(Fe(w,S),v)),C=Pe(a,[h,0],[e-h,i]),R=J(x,o),D=lt(o);if(h===0)a=ve(C,Fe(R,Fe(D,C)));else{var k=ve(C,Fe(R,Fe(D,C)));a=Nt([Pe(a,[0,0],[h,i]),k],0)}var W=lt(R),F=Pe(r,[0,h],[e,r.shape[1]-h]);if(h===0)r=ve(F,Fe(Fe(F,o),W));else{var P=ve(F,Fe(Fe(F,o),W));r=Nt([Pe(r,[0,0],[e,h]),P],1)}return[o,a,r]}),o=d[0],a=d[1],r=d[2],Wt([p,f,m])},c=0;c<l;++c)u(c);return!t&&e>i&&(r=Pe(r,[0,0],[e,i]),a=Pe(a,[0,0],[i,i])),[r,a]})}var MR=U({qr_:_R});(function(n){n[n.NONE=0]="NONE",n[n.MEAN=1]="MEAN",n[n.SUM=2]="SUM",n[n.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"})(I.Reduction||(I.Reduction={}));function HR(n,t,e){e===void 0&&(e=I.Reduction.SUM_BY_NONZERO_WEIGHTS);var i=O(n,"losses","computeWeightedLoss"),r=null;t!=null&&(r=O(t,"weights","computeWeightedLoss"));var a=r==null?i:J(i,r);if(e===I.Reduction.NONE)return a;if(e===I.Reduction.SUM)return Ae(a);if(e===I.Reduction.MEAN){if(r==null)return xa(a);var s=i.size/r.size,o=Ie(Ae(a),Ae(r));return s>1?Ie(o,we(s)):o}if(e===I.Reduction.SUM_BY_NONZERO_WEIGHTS){if(r==null)return Ie(Ae(a),we(i.size));var l=J(r,Or(i.shape)),u=ue(Ae(Vs(l,we(0))),"float32");return Ie(Ae(a),u)}throw Error("Unknown reduction: "+e)}var Gn=U({computeWeightedLoss_:HR});function VR(n,t,e,i){i===void 0&&(i=I.Reduction.SUM_BY_NONZERO_WEIGHTS);var r=O(n,"labels","absoluteDifference"),a=O(t,"predictions","absoluteDifference"),s=null;e!=null&&(s=O(e,"weights","absoluteDifference")),Be(r.shape,a.shape,"Error in absoluteDifference: ");var o=Ht(ve(r,a));return Gn(o,s,i)}var qR=U({absoluteDifference_:VR});function GR(n,t,e,i,r){r===void 0&&(r=I.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=O(n,"labels","cosineDistance"),s=O(t,"predictions","cosineDistance"),o=null;i!=null&&(o=O(i,"weights","cosineDistance")),Be(a.shape,s.shape,"Error in cosineDistance: ");var l=we(1),u=ve(l,Ae(J(a,s),e,!0));return Gn(u,o,r)}var YR=U({cosineDistance_:GR});function KR(n,t,e,i){i===void 0&&(i=I.Reduction.SUM_BY_NONZERO_WEIGHTS);var r=O(n,"labels","hingeLoss"),a=O(t,"predictions","hingeLoss"),s=null;e!=null&&(s=O(e,"weights","hingeLoss")),Be(r.shape,a.shape,"Error in hingeLoss: ");var o=we(1);r=ve(J(we(2),r),o);var l=Ra(ve(o,J(r,a)));return Gn(l,s,i)}var jR=U({hingeLoss_:KR});function $R(n,t,e,i,r){i===void 0&&(i=1),r===void 0&&(r=I.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=O(n,"labels","huberLoss"),s=O(t,"predictions","huberLoss"),o=null;e!=null&&(o=O(e,"weights","huberLoss")),Be(a.shape,s.shape,"Error in huberLoss: ");var l=we(i),u=Ht(ve(s,a)),c=Hs(u,l),h=ve(u,c),d=fe(J(we(.5),Ge(c)),J(l,h));return Gn(d,o,r)}var XR=U({huberLoss_:$R});function JR(n,t,e,i,r){i===void 0&&(i=1e-7),r===void 0&&(r=I.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=O(n,"labels","logLoss"),s=O(t,"predictions","logLoss"),o=null;e!=null&&(o=O(e,"weights","logLoss")),Be(a.shape,s.shape,"Error in logLoss: ");var l=we(1),u=we(i),c=mt(J(a,Bi(fe(s,u)))),h=J(ve(l,a),Bi(fe(ve(l,s),u))),d=ve(c,h);return Gn(d,o,r)}var ZR=U({logLoss_:JR});function QR(n,t,e,i){i===void 0&&(i=I.Reduction.SUM_BY_NONZERO_WEIGHTS);var r=O(n,"labels","meanSquaredError"),a=O(t,"predictions","meanSquaredError"),s=null;e!=null&&(s=O(e,"weights","meanSquaredError")),Be(r.shape,a.shape,"Error in meanSquaredError: ");var o=Ks(r,a);return Gn(o,s,i)}var eO=U({meanSquaredError_:QR});function tO(n,t){var e=O(n,"labels","sigmoidCrossEntropyWithLogits"),i=O(t,"logits","sigmoidCrossEntropyWithLogits");Be(e.shape,i.shape,"Error in sigmoidCrossEntropyWithLogits: ");var r=Ra(i),a=J(i,e),s=Rc(cn(mt(Ht(i))));return fe(ve(r,a),s)}function nO(n,t,e,i,r){i===void 0&&(i=0),r===void 0&&(r=I.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=O(n,"multiClassLabels","sigmoidCrossEntropy"),s=O(t,"logits","sigmoidCrossEntropy"),o=null;if(e!=null&&(o=O(e,"weights","sigmoidCrossEntropy")),Be(a.shape,s.shape,"Error in sigmoidCrossEntropy: "),i>0){var l=we(i),u=we(1),c=we(.5);a=fe(J(a,ve(u,l)),J(c,l))}var h=tO(a,s);return Gn(h,o,r)}var iO=U({sigmoidCrossEntropy_:nO});function rO(n,t,e){if(e===void 0&&(e=-1),e===-1&&(e=t.rank-1),e!==t.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet "+("supported. Labels / logits was rank "+t.rank+" ")+("and dim was "+e));var i=Cn(function(r,a,s){var o=!0,l=Ec(a,[e],o),u=ve(ue(a,"float32"),l);s([r,u]);var c=mt(J(u,r)),h=Ae(c,[e]),d=function(p,f){var m=f[0],g=f[1],v=Jt(p.shape,[e]);return[J(V(p,v),ve(ue(m,"float32"),cn(g))),J(V(p,v),ve(cn(g),ue(m,"float32")))]};return{value:h,gradFunc:d}});return i(n,t)}function aO(n,t,e,i,r){i===void 0&&(i=0),r===void 0&&(r=I.Reduction.SUM_BY_NONZERO_WEIGHTS);var a=O(n,"onehotLabels","softmaxCrossEntropy"),s=O(t,"logits","softmaxCrossEntropy"),o=null;if(e!=null&&(o=O(e,"weights","softmaxCrossEntropy")),Be(a.shape,s.shape,"Error in softmaxCrossEntropy: "),i>0){var l=we(i),u=we(1),c=we(a.shape[1]);a=fe(J(a,ve(u,l)),Ie(l,c))}var h=rO(a,s);return Gn(h,o,r)}var sO=U({softmaxCrossEntropy_:aO});var oO={fft:Gs,ifft:Oa,rfft:Ys,irfft:qc},lO={hammingWindow:aR,hannWindow:tv,frame:nv,stft:uR},uO={flipLeftRight:pR,resizeNearestNeighbor:lv,resizeBilinear:ov,rotateWithOffset:mR,cropAndResize:hR,nonMaxSuppression:vR,nonMaxSuppressionAsync:TR,nonMaxSuppressionWithScore:xR,nonMaxSuppressionWithScoreAsync:RR,nonMaxSuppressionPadded:ER,nonMaxSuppressionPaddedAsync:kR},cO={bandPart:BR,gramSchmidt:PR,qr:MR},hO={absoluteDifference:qR,computeWeightedLoss:Gn,cosineDistance:YR,hingeLoss:jR,huberLoss:XR,logLoss:ZR,meanSquaredError:eO,sigmoidCrossEntropy:iO,softmaxCrossEntropy:sO};var ui=function(n){Pn(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.minimize=function(e,i,r){i===void 0&&(i=!1);var a=this.computeGradients(e,r),s=a.value,o=a.grads;if(r!=null){var l=r.map(function(u){return{name:u.name,tensor:o[u.name]}});this.applyGradients(l)}else this.applyGradients(o);return Wt(o),i?s:(s.dispose(),null)},Object.defineProperty(t.prototype,"iterations",{get:function(){return this.iterations_==null&&(this.iterations_=0),this.iterations_},enumerable:!0,configurable:!0}),t.prototype.incrementIterations=function(){this.iterations_=this.iterations+1},t.prototype.computeGradients=function(e,i){return gg(e,i)},t.prototype.dispose=function(){this.iterations_!=null&&Wt(this.iterations_)},t.prototype.saveIterations=function(){return de(this,void 0,void 0,function(){return pe(this,function(e){return this.iterations_==null&&(this.iterations_=0),[2,{name:"iter",tensor:we(this.iterations_,"int32")}]})})},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){return pe(this,function(e){throw new Error("getWeights() is not implemented for this optimizer yet.")})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){return pe(this,function(i){throw new Error("setWeights() is not implemented for this optimizer class "+(""+this.getClassName()))})})},t.prototype.extractIterations=function(e){return de(this,void 0,void 0,function(){var i;return pe(this,function(r){switch(r.label){case 0:return i=this,[4,e[0].tensor.data()];case 1:return i.iterations_=r.sent()[0],[2,e.slice(1)]}})})},t}(km);Object.defineProperty(ui,Symbol.hasInstance,{value:function(n){return n.minimize!=null&&n.computeGradients!=null&&n.applyGradients!=null}});var $c=function(n){Pn(t,n);function t(e,i,r){r===void 0&&(r=null);var a=n.call(this)||this;return a.learningRate=e,a.rho=i,a.epsilon=r,a.accumulatedGrads=[],a.accumulatedUpdates=[],r==null&&(a.epsilon=z.backend.epsilon()),a}return t.prototype.applyGradients=function(e){var i=this,r=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);r.forEach(function(a,s){var o=z.registeredVariables[a],l=!1;i.accumulatedGrads[s]==null&&(i.accumulatedGrads[s]={originalName:a+"/accum_grad",variable:pt(function(){return Ee(o).variable(l)})}),i.accumulatedUpdates[s]==null&&(i.accumulatedUpdates[s]={originalName:a+"/accum_var",variable:pt(function(){return Ee(o).variable(l)})});var u=Array.isArray(e)?e[s].tensor:e[a];if(u==null)return;var c=i.accumulatedGrads[s].variable,h=i.accumulatedUpdates[s].variable;pt(function(){var d=fe(J(c,i.rho),J(Ge(u),1-i.rho)),p=J(Ie(Bt(fe(h,i.epsilon)),Bt(fe(c,i.epsilon))),u),f=fe(J(h,i.rho),J(Ge(p),1-i.rho));c.assign(d),h.assign(f);var m=fe(J(p,-i.learningRate),o);o.assign(m)})}),this.incrementIterations()},t.prototype.dispose=function(){this.accumulatedUpdates!=null&&(Wt(this.accumulatedGrads.map(function(e){return e.variable})),Wt(this.accumulatedUpdates.map(function(e){return e.variable})))},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){var e;return pe(this,function(i){switch(i.label){case 0:return e=this.accumulatedGrads.concat(this.accumulatedUpdates),[4,this.saveIterations()];case 1:return[2,[i.sent()].concat(e.map(function(r){return{name:r.originalName,tensor:r.variable}}))]}})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){var i,r;return pe(this,function(a){switch(a.label){case 0:return[4,this.extractIterations(e)];case 1:return e=a.sent(),i=e.length/2,r=!1,this.accumulatedGrads=e.slice(0,i).map(function(s){return{originalName:s.name,variable:s.tensor.variable(r)}}),this.accumulatedUpdates=e.slice(i,i*2).map(function(s){return{originalName:s.name,variable:s.tensor.variable(r)}}),[2]}})})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},t.fromConfig=function(e,i){return new e(i.learningRate,i.rho,i.epsilon)},t.className="Adadelta",t}(ui);si($c);var Xc=function(n){Pn(t,n);function t(e,i){i===void 0&&(i=.1);var r=n.call(this)||this;return r.learningRate=e,r.initialAccumulatorValue=i,r.accumulatedGrads=[],r}return t.prototype.applyGradients=function(e){var i=this,r=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);r.forEach(function(a,s){var o=z.registeredVariables[a];if(i.accumulatedGrads[s]==null){var l=!1;i.accumulatedGrads[s]={originalName:a+"/accumulator",variable:pt(function(){return xc(o.shape,i.initialAccumulatorValue).variable(l)})}}var u=Array.isArray(e)?e[s].tensor:e[a];if(u==null)return;var c=i.accumulatedGrads[s].variable;pt(function(){var h=fe(c,Ge(u));c.assign(h);var d=fe(J(Ie(u,Bt(fe(h,z.backend.epsilon()))),-i.learningRate),o);o.assign(d)})}),this.incrementIterations()},t.prototype.dispose=function(){this.accumulatedGrads!=null&&Wt(this.accumulatedGrads.map(function(e){return e.variable}))},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){return pe(this,function(e){switch(e.label){case 0:return[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(this.accumulatedGrads.map(function(i){return{name:i.originalName,tensor:i.variable}}))]}})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){var i;return pe(this,function(r){switch(r.label){case 0:return[4,this.extractIterations(e)];case 1:return e=r.sent(),i=!1,this.accumulatedGrads=e.map(function(a){return{originalName:a.name,variable:a.tensor.variable(i)}}),[2]}})})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},t.fromConfig=function(e,i){return new e(i.learningRate,i.initialAccumulatorValue)},t.className="Adagrad",t}(ui);si(Xc);var Jc=function(n){Pn(t,n);function t(e,i,r,a){a===void 0&&(a=null);var s=n.call(this)||this;return s.learningRate=e,s.beta1=i,s.beta2=r,s.epsilon=a,s.accumulatedFirstMoment=[],s.accumulatedSecondMoment=[],pt(function(){s.accBeta1=we(i).variable(),s.accBeta2=we(r).variable()}),a==null&&(s.epsilon=z.backend.epsilon()),s}return t.prototype.applyGradients=function(e){var i=this,r=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);pt(function(){var a=ve(1,i.accBeta1),s=ve(1,i.accBeta2);r.forEach(function(o,l){var u=z.registeredVariables[o],c=!1;i.accumulatedFirstMoment[l]==null&&(i.accumulatedFirstMoment[l]={originalName:o+"/m",variable:pt(function(){return Ee(u).variable(c)})}),i.accumulatedSecondMoment[l]==null&&(i.accumulatedSecondMoment[l]={originalName:o+"/v",variable:pt(function(){return Ee(u).variable(c)})});var h=Array.isArray(e)?e[l].tensor:e[o];if(h==null)return;var d=i.accumulatedFirstMoment[l].variable,p=i.accumulatedSecondMoment[l].variable,f=fe(J(d,i.beta1),J(h,1-i.beta1)),m=fe(J(p,i.beta2),J(Ge(h),1-i.beta2)),g=Ie(f,a),v=Ie(m,s);d.assign(f),p.assign(m);var b=fe(J(Ie(g,fe(Bt(v),i.epsilon)),-i.learningRate),u);u.assign(b)}),i.accBeta1.assign(J(i.accBeta1,i.beta1)),i.accBeta2.assign(J(i.accBeta2,i.beta2))}),this.incrementIterations()},t.prototype.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),this.accumulatedFirstMoment!=null&&Wt(this.accumulatedFirstMoment.map(function(e){return e.variable})),this.accumulatedSecondMoment!=null&&Wt(this.accumulatedSecondMoment.map(function(e){return e.variable}))},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){var e;return pe(this,function(i){switch(i.label){case 0:return e=this.accumulatedFirstMoment.concat(this.accumulatedSecondMoment),[4,this.saveIterations()];case 1:return[2,[i.sent()].concat(e.map(function(r){return{name:r.originalName,tensor:r.variable}}))]}})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){var i,r,a=this;return pe(this,function(s){switch(s.label){case 0:return[4,this.extractIterations(e)];case 1:return e=s.sent(),pt(function(){a.accBeta1.assign(Vn(a.beta1,a.iterations_+1)),a.accBeta2.assign(Vn(a.beta2,a.iterations_+1))}),i=e.length/2,r=!1,this.accumulatedFirstMoment=e.slice(0,i).map(function(o){return{originalName:o.name,variable:o.tensor.variable(r)}}),this.accumulatedSecondMoment=e.slice(i,i*2).map(function(o){return{originalName:o.name,variable:o.tensor.variable(r)}}),[2]}})})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},t.fromConfig=function(e,i){return new e(i.learningRate,i.beta1,i.beta2,i.epsilon)},t.className="Adam",t}(ui);si(Jc);var Zc=function(n){Pn(t,n);function t(e,i,r,a,s){a===void 0&&(a=null),s===void 0&&(s=0);var o=n.call(this)||this;return o.learningRate=e,o.beta1=i,o.beta2=r,o.epsilon=a,o.decay=s,o.accumulatedFirstMoment=[],o.accumulatedWeightedInfNorm=[],pt(function(){o.iteration=we(0).variable(),o.accBeta1=we(i).variable()}),a==null&&(o.epsilon=z.backend.epsilon()),o}return t.prototype.applyGradients=function(e){var i=this,r=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);pt(function(){var a=ve(1,i.accBeta1),s=Ie(-i.learningRate,fe(J(i.iteration,i.decay),1));r.forEach(function(o,l){var u=z.registeredVariables[o],c=!1;i.accumulatedFirstMoment[l]==null&&(i.accumulatedFirstMoment[l]={originalName:o+"/m",variable:Ee(u).variable(c)}),i.accumulatedWeightedInfNorm[l]==null&&(i.accumulatedWeightedInfNorm[l]={originalName:o+"/v",variable:Ee(u).variable(c)});var h=Array.isArray(e)?e[l].tensor:e[o];if(h==null)return;var d=i.accumulatedFirstMoment[l].variable,p=i.accumulatedWeightedInfNorm[l].variable,f=fe(J(d,i.beta1),J(h,1-i.beta1)),m=J(p,i.beta2),g=Ht(h),v=Rr(m,g);d.assign(f),p.assign(v);var b=fe(J(Ie(s,a),Ie(f,fe(v,i.epsilon))),u);u.assign(b)}),i.iteration.assign(fe(i.iteration,1)),i.accBeta1.assign(J(i.accBeta1,i.beta1))}),this.incrementIterations()},t.prototype.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),this.accumulatedFirstMoment!=null&&Wt(this.accumulatedFirstMoment.map(function(e){return e.variable})),this.accumulatedWeightedInfNorm!=null&&Wt(this.accumulatedWeightedInfNorm.map(function(e){return e.variable}))},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){return pe(this,function(e){throw new Error("getWeights() is not implemented for Adamax yet.")})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){return pe(this,function(i){throw new Error("setWeights() is not implemented for Adamax yet.")})})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},t.fromConfig=function(e,i){return new e(i.learningRate,i.beta1,i.beta2,i.epsilon,i.decay)},t.className="Adamax",t}(ui);si(Zc);var to=function(n){Pn(t,n);function t(e){var i=n.call(this)||this;return i.learningRate=e,i.setLearningRate(e),i}return t.prototype.applyGradients=function(e){var i=this,r=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);r.forEach(function(a,s){var o=Array.isArray(e)?e[s].tensor:e[a];if(o==null)return;var l=z.registeredVariables[a];pt(function(){var u=fe(J(i.c,o),l);l.assign(u)})}),this.incrementIterations()},t.prototype.setLearningRate=function(e){this.learningRate=e,this.c!=null&&this.c.dispose(),this.c=Um(we(-e))},t.prototype.dispose=function(){this.c.dispose()},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){return pe(this,function(e){switch(e.label){case 0:return[4,this.saveIterations()];case 1:return[2,[e.sent()]]}})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){return pe(this,function(i){switch(i.label){case 0:return[4,this.extractIterations(e)];case 1:if(e=i.sent(),e.length!==0)throw new Error("SGD optimizer does not have settable weights.");return[2]}})})},t.prototype.getConfig=function(){return{learningRate:this.learningRate}},t.fromConfig=function(e,i){return new e(i.learningRate)},t.className="SGD",t}(ui);si(to);var Qc=function(n){Pn(t,n);function t(e,i,r){r===void 0&&(r=!1);var a=n.call(this,e)||this;return a.learningRate=e,a.momentum=i,a.useNesterov=r,a.accumulations=[],a.m=we(a.momentum),a}return t.prototype.applyGradients=function(e){var i=this,r=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);r.forEach(function(a,s){var o=z.registeredVariables[a];if(i.accumulations[s]==null){var l=!1;i.accumulations[s]={originalName:a+"/momentum",variable:pt(function(){return Ee(o).variable(l)})}}var u=i.accumulations[s].variable,c=Array.isArray(e)?e[s].tensor:e[a];if(c==null)return;pt(function(){var h,d=fe(J(i.m,u),c);i.useNesterov?h=fe(J(i.c,fe(c,J(d,i.m))),o):h=fe(J(i.c,d),o),u.assign(d),o.assign(h)})}),this.incrementIterations()},t.prototype.dispose=function(){this.m.dispose(),this.accumulations!=null&&Wt(this.accumulations.map(function(e){return e.variable}))},t.prototype.setMomentum=function(e){this.momentum=e},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){return pe(this,function(e){switch(e.label){case 0:return[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(this.accumulations.map(function(i){return{name:i.originalName,tensor:i.variable}}))]}})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){var i;return pe(this,function(r){switch(r.label){case 0:return[4,this.extractIterations(e)];case 1:return e=r.sent(),i=!1,this.accumulations=e.map(function(a){return{originalName:a.name,variable:a.tensor.variable(i)}}),[2]}})})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},t.fromConfig=function(e,i){return new e(i.learningRate,i.momentum,i.useNesterov)},t.className="Momentum",t}(to);si(Qc);var eh=function(n){Pn(t,n);function t(e,i,r,a,s){i===void 0&&(i=.9),r===void 0&&(r=0),a===void 0&&(a=null),s===void 0&&(s=!1);var o=n.call(this)||this;if(o.learningRate=e,o.decay=i,o.momentum=r,o.epsilon=a,o.accumulatedMeanSquares=[],o.accumulatedMoments=[],o.accumulatedMeanGrads=[],o.centered=s,a==null&&(o.epsilon=z.backend.epsilon()),e==null)throw new Error("learningRate for RMSPropOptimizer must be defined.");return o}return t.prototype.applyGradients=function(e){var i=this,r=Array.isArray(e)?e.map(function(a){return a.name}):Object.keys(e);r.forEach(function(a,s){var o=z.registeredVariables[a],l=!1;i.accumulatedMeanSquares[s]==null&&(i.accumulatedMeanSquares[s]={originalName:a+"/rms",variable:pt(function(){return Ee(o).variable(l)})}),i.accumulatedMoments[s]==null&&(i.accumulatedMoments[s]={originalName:a+"/momentum",variable:pt(function(){return Ee(o).variable(l)})}),i.accumulatedMeanGrads[s]==null&&i.centered&&(i.accumulatedMeanGrads[s]={originalName:a+"/mg",variable:pt(function(){return Ee(o).variable(l)})});var u=Array.isArray(e)?e[s].tensor:e[a];if(u==null)return;var c=i.accumulatedMeanSquares[s].variable,h=i.accumulatedMoments[s].variable;pt(function(){var d=fe(J(c,i.decay),J(Ge(u),1-i.decay));if(i.centered){var p=i.accumulatedMeanGrads[s].variable,f=fe(J(p,i.decay),J(u,1-i.decay)),m=Ie(J(u,i.learningRate),Bt(ve(d,fe(Ge(f),i.epsilon)))),g=fe(J(h,i.momentum),m);c.assign(d),p.assign(f),h.assign(g);var v=ve(o,g);o.assign(v)}else{var b=fe(J(c,i.decay),J(Ge(u),1-i.decay)),g=fe(J(h,i.momentum),Ie(J(u,i.learningRate),Bt(fe(b,i.epsilon))));c.assign(b),h.assign(g);var v=ve(o,g);o.assign(v)}})}),this.incrementIterations()},t.prototype.dispose=function(){this.accumulatedMeanSquares!=null&&Wt(this.accumulatedMeanSquares.map(function(e){return e.variable})),this.accumulatedMeanGrads!=null&&this.centered&&Wt(this.accumulatedMeanGrads.map(function(e){return e.variable})),this.accumulatedMoments!=null&&Wt(this.accumulatedMoments.map(function(e){return e.variable}))},t.prototype.getWeights=function(){return de(this,void 0,void 0,function(){var e;return pe(this,function(i){switch(i.label){case 0:return e=this.accumulatedMeanSquares.concat(this.accumulatedMoments),this.centered&&e.push.apply(e,this.accumulatedMeanGrads),[4,this.saveIterations()];case 1:return[2,[i.sent()].concat(e.map(function(r){return{name:r.originalName,tensor:r.variable}}))]}})})},t.prototype.setWeights=function(e){return de(this,void 0,void 0,function(){var i,r;return pe(this,function(a){switch(a.label){case 0:return[4,this.extractIterations(e)];case 1:return e=a.sent(),i=this.centered?e.length/3:e.length/2,r=!1,this.accumulatedMeanSquares=e.slice(0,i).map(function(s){return{originalName:s.name,variable:s.tensor.variable(r)}}),this.accumulatedMoments=e.slice(i,i*2).map(function(s){return{originalName:s.name,variable:s.tensor.variable(r)}}),this.centered&&(this.accumulatedMeanGrads=e.slice(i*2,i*3).map(function(s){return{originalName:s.name,variable:s.tensor.variable(r)}})),[2]}})})},t.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},t.fromConfig=function(e,i){return new e(i.learningRate,i.decay,i.momentum,i.epsilon,i.centered)},t.className="RMSProp",t}(ui);si(eh);var qi=function(){function n(){}return n.sgd=function(t){return new to(t)},n.momentum=function(t,e,i){return i===void 0&&(i=!1),new Qc(t,e,i)},n.rmsprop=function(t,e,i,r,a){return e===void 0&&(e=.9),i===void 0&&(i=0),r===void 0&&(r=null),a===void 0&&(a=!1),new eh(t,e,i,r,a)},n.adam=function(t,e,i,r){return t===void 0&&(t=.001),e===void 0&&(e=.9),i===void 0&&(i=.999),r===void 0&&(r=null),new Jc(t,e,i,r)},n.adadelta=function(t,e,i){return t===void 0&&(t=.001),e===void 0&&(e=.95),i===void 0&&(i=null),new $c(t,e,i)},n.adamax=function(t,e,i,r,a){return t===void 0&&(t=.002),e===void 0&&(e=.9),i===void 0&&(i=.999),r===void 0&&(r=null),a===void 0&&(a=0),new Zc(t,e,i,r,a)},n.adagrad=function(t,e){return e===void 0&&(e=.1),new Xc(t,e)},n}();var dO={sgd:qi.sgd,momentum:qi.momentum,adadelta:qi.adadelta,adagrad:qi.adagrad,rmsprop:qi.rmsprop,adamax:qi.adamax,adam:qi.adam};var pO=function(){return typeof requestAnimationFrame!="undefined"?requestAnimationFrame:typeof setImmediate!="undefined"?setImmediate:function(n){return n()}}();function fO(){return new Promise(function(n){return pO(function(){return n()})})}function mO(n,t,e){var i=e*(typeof n=="number"?n:n[0]),r=t*(typeof n=="number"?n:n[1]);return[i,r]}function gO(n,t,e,i){i===void 0&&(i=!0);var r=[];if(i)r=r.concat(t.slice(0)),r.push(n[0]/e),r=r.concat(n.slice(1));else{r=r.concat(n[0]);for(var a=t.length,s=0;s<a;++s)r=r.concat([n[s+1]/t[s],t[s]]);r=r.concat(n.slice(a+1))}return r}function vO(n,t,e){e===void 0&&(e=!0);var i=[];if(e){i.push(t);for(var r=t+1;r<n;++r)r<=2*t?(i.push(r),i.push(r-(t+1))):i.push(r)}else{for(var a=[],s=[],r=1;r<n;++r)r>=t*2+1||r%2===1?s.push(r):a.push(r);i.push.apply(i,a),i.push(0),i.push.apply(i,s)}return i}function yO(n,t,e,i){i===void 0&&(i=!0);var r=[];i?r.push(n[0]/e):r.push(n[0]*e);for(var a=1;a<n.length;++a)a<=t.length?i?r.push(t[a-1]*n[a]):r.push(n[a]/t[a-1]):r.push(n[a]);return r}function bO(n,t){for(var e=[0],i=0;i<t;++i)e.push(n[i][0]);return e}function wO(n,t,e){for(var i=n.slice(0,1),r=0;r<e;++r)i.push(n[r+1]-t[r][0]-t[r][1]);return i}var cv=1.7580993408473768,hv=1.0507009873554805;var SO=.3275911,LO=.254829592,IO=-.284496736,AO=1.421413741,TO=-1.453152027,NO=1.061405429;function xO(){for(var n=[],t=0;t<arguments.length;t++)n[t]=arguments[t];He().getBool("IS_TEST")||console.warn.apply(console,n)}function CO(){for(var n=[],t=0;t<arguments.length;t++)n[t]=arguments[t];He().getBool("IS_TEST")||console.log.apply(console,n)}function RO(n,t){if(n.length!==t.length)throw new Error("Cannot merge real and imag arrays of different lengths. real:"+(n.length+", imag: "+t.length+"."));for(var e=new Float32Array(n.length*2),i=0;i<e.length;i+=2)e[i]=n[i/2],e[i+1]=t[i/2];return e}function OO(n){for(var t=new Float32Array(n.length/2),e=new Float32Array(n.length/2),i=0;i<n.length;i+=2)t[i/2]=n[i],e[i/2]=n[i+1];return{real:t,imag:e}}function EO(n){for(var t=Math.ceil(n.length/4),e=new Float32Array(t),i=new Float32Array(t),r=0;r<n.length;r+=4)e[Math.floor(r/4)]=n[r],i[Math.floor(r/4)]=n[r+1];return{real:e,imag:i}}function DO(n){for(var t=Math.floor(n.length/4),e=new Float32Array(t),i=new Float32Array(t),r=2;r<n.length;r+=4)e[Math.floor(r/4)]=n[r],i[Math.floor(r/4)]=n[r+1];return{real:e,imag:i}}function kO(n,t){var e=n[t*2],i=n[t*2+1];return{real:e,imag:i}}function FO(n,t,e,i){n[i*2]=t,n[i*2+1]=e}function WO(n,t){for(var e=new Float32Array(n/2),i=new Float32Array(n/2),r=0;r<Math.ceil(n/2);r++){var a=(t?2:-2)*Math.PI*(r/n);e[r]=Math.cos(a),i[r]=Math.sin(a)}return{real:e,imag:i}}function UO(n,t,e){var i=(e?2:-2)*Math.PI*(n/t),r=Math.cos(i),a=Math.sin(i);return{real:r,imag:a}}function BO(n,t,e){if(t==="complex64"){if(n.dtype==="complex64")return n.clone();var i=Hn(n.shape),r=ue(n,"float32"),a=e.complex(r,i);return i.dispose(),r.dispose(),a}if(!_f(n.dtype,t))return z.makeTensorFromDataId(n.dataId,n.shape,t);if(n.dtype==="complex64"){var s=e.real(n),a=ue(s,t);return s.dispose(),a}if(t==="int32")return e.int(n);if(t==="bool"){var o=we(0,n.dtype),a=e.notEqual(n,o);return o.dispose(),a}else throw new Error("Error in Cast: failed to cast "+n.dtype+" to "+t)}function zO(n,t){return z.makeTensorFromDataId(n.dataId,t,n.dtype)}function PO(n,t,e){var i=(t-n)/(e-1),r=yr(e,"float32");r[0]=n;for(var a=1;a<r.length;a++)r[a]=r[a-1]+i;return Dr(r,"float32")}var _O={__proto__:null,slice_util:Dm,segment_util:_1,castTensor:BO,reshapeTensor:zO,linspaceImpl:PO,upcastType:Is,axesAreInnerMostDims:bc,combineLocations:Pm,computeOutAndReduceShapes:_m,expandShapeToKeepDim:Jt,assertAxesAreInnerMostDims:gT,getAxesPermutation:Zt,getUndoAxesPermutation:Cs,getInnerMostAxes:Nn,getBroadcastDims:I1,getReductionAxes:ft,assertAndGetBroadcastShape:Qe,assertParamsConsistent:Xm,computeOutShape:Jm,computeDilation2DInfo:NT,computePool2DInfo:Tr,computePool3DInfo:Ia,computeConv2DInfo:xn,computeConv3DInfo:La,computeDefaultPad:Sc,tupleValuesAreOne:oi,eitherStridesOrDilationsAreOne:Ut,convertConv2DDataFormat:Sa,getFusedDyActivation:Js,getFusedBiasGradient:Zs,applyActivation:Qs,shouldFuse:eo,PARALLELIZE_THRESHOLD:Cc,computeOptimalWindowSize:B1,getImageCenter:mO,getReshaped:gO,getPermuted:vO,getReshapedPermuted:yO,getSliceBeginCoords:bO,getSliceSize:wO,prepareAndValidate:bm,validateUpdateShape:dc,validateInput:pc,calculateShapes:wm,SELU_SCALEALPHA:cv,SELU_SCALE:hv,ERF_P:SO,ERF_A1:LO,ERF_A2:IO,ERF_A3:AO,ERF_A4:TO,ERF_A5:NO,warn:xO,log:CO,mergeRealAndImagArrays:RO,splitRealAndImagArrays:OO,complexWithEvenIndex:EO,complexWithOddIndex:DO,getComplexWithIndex:kO,assignToTypedArray:FO,exponents:WO,exponent:UO,prepareSplitSize:Rg};function MO(n,t,e){var i=new Array(n.rank).fill(0),r=n.shape.slice();return t.map(function(a){var s=r.slice();s[e]=a;var o=Pe(n,i,s);return i[e]+=a,o})}function HO(n,t){for(var e=new Array(n.rank),i=0;i<e.length;i++)e[i]=n.shape[i]*t[i];for(var r=Tn(e,n.dtype),i=0;i<r.values.length;++i){for(var a=r.indexToLoc(i),s=new Array(n.rank),o=0;o<s.length;o++)s[o]=a[o]%n.shape[o];var l=n.locToIndex(s);r.values[i]=n.values[l]}return r.toTensor()}function VO(n,t,e,i,r){for(var a=t[t.length-1],s=[n.length/a,a],o=s[0],l=s[1],u=vs(e,o*i),c=vs("int32",o*i),h=0;h<o;h++){for(var d=h*l,p=n.subarray(d,d+l),f=[],m=0;m<p.length;m++)f.push({value:p[m],index:m});f.sort(function(S,L){return L.value-S.value});for(var g=h*i,v=u.subarray(g,g+i),b=c.subarray(g,g+i),m=0;m<i;m++)v[m]=f[m].value,b[m]=f[m].index}var w=t.slice();return w[w.length-1]=i,[ii(u,w,e),ii(c,w,"int32")]}var qO={__proto__:null,nonMaxSuppressionV3Impl:iv,nonMaxSuppressionV4Impl:rv,nonMaxSuppressionV5Impl:av,split:MO,tile:HO,topkImpl:VO,whereImpl:Fg};var GO={kernelName:el,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(n,Fr(ue(e,"float32"),-1))}}}};var YO={kernelName:tl,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){var i=Ge(ue(e,"float32")),r=Bt(ve(we(1),i));return mt(Ie(n,r))}}}};var KO={kernelName:nl,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){var i=Bt(ve(Ge(ue(e,"float32")),1));return Ie(n,i)}}}};var jO={kernelName:fs,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=Qe(e.shape,i.shape),a=function(){var o=n,l=ft(e.shape,r);return l.length>0&&(o=Ae(o,l)),V(o,e.shape)},s=function(){var o=n,l=ft(i.shape,r);return l.length>0&&(o=Ae(o,l)),V(o,i.shape)};return{a,b:s}}};var $O={kernelName:il,saveAllInputs:!0,gradFunc:function(n,t){var e={};return t.forEach(function(i,r){e[r]=function(){return n.clone()}}),e}};var XO={kernelName:rl,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ee(e)}}}};var JO={kernelName:al,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ee(e)}}}};var ZO={kernelName:sl,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ie(n,Bt(ve(we(1),Ge(ue(e,"float32")))))}}}};var QO={kernelName:ol,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){var i=Bt(fe(we(1),Ge(ue(e,"float32"))));return Ie(n,i)}}}};var eE={kernelName:cl,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=Qe(e.shape,i.shape),a=function(){var o=fe(Ge(e),Ge(i)),l=J(n,Ie(i,o)),u=ft(e.shape,r);return u.length>0&&(l=Ae(l,u)),V(l,e.shape)},s=function(){var o=fe(Ge(e),Ge(i)),l=mt(J(n,Ie(e,o))),u=ft(i.shape,r);return u.length>0&&(l=Ae(l,u)),V(l,i.shape)};return{a,b:s}}};var tE={kernelName:ll,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ie(n,fe(Ge(ue(e,"float32")),1))}}}};var nE={kernelName:ul,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ie(n,ve(we(1),Ge(ue(e,"float32"))))}}}};function iE(n,t,e,i,r,a,s){r===void 0&&(r=[1,1,1]);var o=O(n,"dy","avgPool3dBackprop"),l=O(t,"input","avgPool3dBackprop"),u=o,c=l,h=!1;l.rank===4&&(h=!0,u=V(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]]),c=V(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]])),E(u.rank===5,function(){return"Error in avgPool3dBackprop: dy must be rank 5 but got rank "+(u.rank+".")}),E(c.rank===5,function(){return"Error in avgPool3dBackprop: input must be rank 5 but got rank "+(c.rank+".")}),E(Ut(i,r),function(){return"Error in avgPool3dBackprop: Either strides or dilations "+("must be 1. Got strides "+i+" and dilations '"+r+"'")}),s!=null&&E(it(a),function(){return"Error in maxPool3dBackprop: pad must be an integer when "+("using, dimRoundingMode "+s+" but got pad "+a+".")});var d=function(g){var v=Ia(c.shape,e,i,r,a,s);return g.avgPool3dBackprop(u,c,v)},p={dy:u,input:c},f={filterSize:e,strides:i,dilations:r,pad:a,dimRoundingMode:s},m=z.runKernelFunc(d,p,null,zp,f);return h?V(m,[m.shape[1],m.shape[2],m.shape[3],m.shape[4]]):m}var rE=U({avgPool3dBackprop_:iE});var aE={kernelName:dl,inputsToSave:["x"],gradFunc:function(n,t,e){var i=t[0],r=e,a=r.filterSize,s=r.strides,o=r.dilations,l=r.pad,u=r.dimRoundingMode,c=o??[1,1,1];return{x:function(){return rE(n,i,a,s,c,l,u)}}}};function sE(n,t,e,i,r){var a=O(n,"dy","avgPoolBackprop"),s=O(t,"input","avgPoolBackprop");E(s.rank===a.rank,function(){return"Rank of input ("+s.rank+") does not match rank of dy ("+a.rank+")"});var o=s,l=a,u=!1;s.rank===3&&(u=!0,o=V(s,[1,s.shape[0],s.shape[1],s.shape[2]]),l=V(a,[1,a.shape[0],a.shape[1],a.shape[2]])),E(l.rank===4,function(){return"Error in avgPoolBackprop: dy must be rank 4 but got rank "+(l.rank+".")}),E(o.rank===4,function(){return"Error in avgPoolBackprop: input must be rank 4 but got rank "+(o.rank+".")});var c=function(f){var m=Tr(o.shape,e,i,1,r);return f.avgPoolBackprop(l,o,m)},h={dy:l,input:o},d={filterSize:e,strides:i,pad:r},p=z.runKernelFunc(c,h,null,Bp,d);return u?V(p,[p.shape[1],p.shape[2],p.shape[3]]):p}var oE=U({avgPoolBackprop_:sE});var lE={kernelName:hl,inputsToSave:["x"],gradFunc:function(n,t,e){var i=t[0],r=e,a=r.filterSize,s=r.strides,o=r.pad;return{x:function(){return oE(n,i,a,s,o)}}}};var uE={kernelName:pl,inputsToSave:["a","b"],gradFunc:function(n,t,e){var i=t,r=i[0],a=i[1],s=e,o=s.transposeA,l=s.transposeB;return!o&&!l?{a:function(){return Fe(n,a,!1,!0)},b:function(){return Fe(r,n,!0,!1)}}:!o&&l?{a:function(){return Fe(n,a,!1,!1)},b:function(){return Fe(n,r,!0,!1)}}:o&&!l?{a:function(){return Fe(a,n,!1,!0)},b:function(){return Fe(r,n,!1,!1)}}:{a:function(){return Fe(a,n,!0,!0)},b:function(){return Fe(n,r,!0,!0)}}}};var cE={kernelName:fl,gradFunc:function(n,t,e){var i=e,r=i.blockShape,a=i.crops;return{x:function(){return qs(n,r,a)}}}};var hE={kernelName:ml,gradFunc:function(n,t,e){for(var i=e,r=i.inputShape,a=i.shape,s=Array.from(a),o=r.length-1;o>=0;o--)if(r[o]===a[o])s[o]=1;else if(r[o]!==1)throw new Error("broadcastTo(): ["+r+"] cannot be broadcast to ["+a+"].");for(var l=[],o=0;o<s.length;o++)s[o]>1&&l.push(o);return{x:function(){return Ae(n,l,!0)}}}};var dE={kernelName:ms,gradFunc:function(n){return{x:function(){return n.clone()}}}};var pE={kernelName:gl,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var fE={kernelName:vl,inputsToSave:["x"],gradFunc:function(n,t,e){var i=t[0],r=e,a=r.clipValueMin,s=r.clipValueMax;return{x:function(){return un(Pi(Wi(i,a),Ui(i,s)),n,Ee(n))}}}};var mE={kernelName:yl,saveAllInputs:!0,gradFunc:function(n,t,e){var i=t.map(function(l){return l.shape}),r=e.axis,a=Ze(r,t[0].shape)[0],s=i.map(function(l){return l[a]}),o=kr(n,s,a);return o.map(function(l){return function(){return l}})}};var gE={kernelName:bl,inputsToSave:["x","filter"],gradFunc:function(n,t,e){var i=t,r=i[0],a=i[1],s=e,o=s.dilations,l=s.strides,u=s.pad,c=s.dataFormat;return E(oi(o),function(){return"Error in gradient of conv2D: dilation rates greater than 1 "+("are not yet supported in gradients. Got dilations '"+o+"'")}),{x:function(){return Ic(r.shape,n,a,l,u,c)},filter:function(){return Kc(r,n,a.shape,l,u,c)}}}};var vE={kernelName:wl,inputsToSave:["dy","filter"],gradFunc:function(n,t,e){var i=t,r=i[0],a=i[1],s=e,o=s.strides,l=s.pad,u=s.dataFormat,c=s.dimRoundingMode;return{dy:function(){return xr(n,a,o,l,u,1,c)},filter:function(){return Kc(n,r,a.shape,o,l,u,c)}}}};function yE(n,t,e,i,r){var a=n;n.rank===4&&(a=V(n,[1,n.shape[0],n.shape[1],n.shape[2],n.shape[3]]));var s=t;s.rank===4&&(s=V(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]])),E(a.rank===5,function(){return"Error in conv3dDerFilter: input must be rank 5, but got shape "+(a.shape+".")}),E(s.rank===5,function(){return"Error in conv3dDerFilter: dy must be rank 5, but got shape "+(s.shape+".")}),E(e.length===5,function(){return"Error in conv3dDerFilter: filterShape must be length 5, but got "+(e+".")}),E(a.shape[4]===e[3],function(){return"Error in conv3dDerFilter: depth of input "+a.shape[4]+") must "+("match input depth in filter ("+e[3]+".")}),E(s.shape[4]===e[4],function(){return"Error in conv3dDerFilter: depth of dy ("+s.shape[4]+") must "+("match output depth for filter ("+e[4]+").")});var o=function(c){var h=1,d=La(a.shape,e,i,h,r);return c.conv3dDerFilter(a,s,d)},l={x:a,y:s},u={strides:i,pad:r};return z.runKernelFunc(o,l,null,Mp,u)}var bE=U({conv3DBackpropFilter_:yE});var wE={kernelName:Sl,inputsToSave:["x","filter"],gradFunc:function(n,t,e){var i=e,r=i.dilations,a=i.strides,s=i.pad;E(oi(r),function(){return"Error in gradient of conv3D: dilation rates greater than 1 are "+("not yet supported in gradients. Got dilations '"+r+"'")});var o=t[0],l=t[1];return{x:function(){return ng(o.shape,n,l,a,s)},filter:function(){return bE(o,n,l.shape,a,s)}}}};var SE={kernelName:Ll,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(mt(Hc(ue(e,"float32"))),n)}}}};var LE={kernelName:Il,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(Vc(ue(e,"float32")),n)}}}};var IE={kernelName:Al,inputsToSave:["x"],gradFunc:function(n,t,e){var i=t[0],r=e,a=r.axis,s=r.exclusive,o=r.reverse;return{x:function(){var l=Zt([a],i.rank),u=Tc(n,a,s,!o);return l!=null&&(u=lt(u,l)),u}}}};var AE={kernelName:Tl,inputsToSave:["x","filter"],gradFunc:function(n,t,e){var i=e,r=i.dilations,a=i.strides,s=i.pad,o=i.dimRoundingMode,l=r??[1,1];E(oi(l),function(){return"Error in gradient of depthwiseConv2dNative: dilation rates greater than 1 are not yet supported. Got dilations "+("'"+l+"'")});var u=t,c=u[0],h=u[1];E(c.rank===4,function(){return"Error in gradient of depthwiseConv2dNative: input must be "+("rank 4, but got rank "+c.rank+".")}),E(h.rank===4,function(){return"Error in gradient of depthwiseConv2dNative: filter must be "+("rank 4, but got rank "+h.rank+".")}),E(c.shape[3]===h.shape[2],function(){return"Error in gradient of depthwiseConv2d: number of input "+("channels ("+c.shape[3]+") must match the inChannels dimension ")+("in filter "+h.shape[2]+".")}),E(Ut(a,l),function(){return"Error in gradient of depthwiseConv2d: Either strides or "+("dilations must be 1. Got strides "+a+" and dilations ")+("'"+l+"'.")}),o!=null&&E(it(s),function(){return"Error in depthwiseConv2d: pad must be an integer when using, "+("dimRoundingMode "+o+" but got pad "+s+".")});var d=xn(c.shape,h.shape,a,l,s,o,!0);return{x:function(){return ev(c.shape,n,h,d)},filter:function(){return Qg(c,n,h.shape,d)}}}};var TE={kernelName:Nl,inputsToSave:["x","filter"],gradFunc:function(n,t,e){var i=t,r=i[0],a=i[1],s={x:r,filter:a,dy:n},o={x:r,filter:a,dy:n};return{x:function(){return z.runKernel(jp,s,e)},filter:function(){return z.runKernel($p,o,e)}}}};var NE={kernelName:xl,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=Qe(e.shape,i.shape),a=function(){var o=Ie(n,ue(i,"float32")),l=ft(e.shape,r);return l.length>0?V(Ae(o,l),e.shape):o},s=function(){var o=J(n,ue(e,"float32")),l=ft(i.shape,r);l.length>0&&(o=V(Ae(o,l),i.shape));var u=Ge(i);return mt(Ie(o,ue(u,"float32")))};return{a,b:s}}};var xE={kernelName:Cl,outputsToSave:[!0],gradFunc:function(n,t){var e=t[0],i=function(a){return a.eluDer(n,e)},r={dy:n,y:e};return{x:function(){return z.runKernelFunc(i,r,null,Xp)}}}};var CE={kernelName:Rl,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0],i=J(cn(mt(Ge(e))),2/Math.sqrt(Math.PI));return{x:function(){return J(n,i)}}}};var RE={kernelName:Ol,outputsToSave:[!0],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(n,e)}}}};var OE={kernelName:El,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(n,cn(e))}}}};var EE={kernelName:Dl,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var DE={kernelName:kl,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=Qe(e.shape,i.shape),a=function(){var o=Ie(n,ue(i,"float32")),l=ft(e.shape,r);return l.length>0?V(Ae(o,l),e.shape):o},s=function(){var o=J(n,ue(e,"float32")),l=ft(i.shape,r);l.length>0&&(o=V(Ae(o,l),i.shape));var u=Ge(i);return mt(Ie(o,ue(u,"float32")))};return{a,b:s}}};var kE={kernelName:Fl,inputsToSave:["x","mean","variance","scale"],gradFunc:function(n,t,e){var i=e.varianceEpsilon,r=t[0],a=t[1],s=t[2],o=t[3],l=o??we(1),u=ft(a.shape,r.shape),c=[];if(a.rank===1){for(var h=0;h<r.shape.length-1;++h)c.push(r.shape[h]);c.push(1)}var d=ve(r,a),p=J(n,l),f=Mc(fe(s,we(i))),m=J(J(J(f,f),f),we(-.5)),g=function(){return a.rank===1?V(J(J(n,Cr(V(f,[1,1,1,a.shape[0]]),c)),l),r.shape):V(J(J(n,f),l),r.shape)},v=function(){var L=J(J(f,we(-1)),p);return a.rank===1&&(L=Ae(L,u)),V(L,a.shape)},b=function(){var L=J(J(m,d),p);return a.rank===1&&(L=Ae(L,u)),V(L,a.shape)},w=function(){var L=J(d,f),x=J(n,L);return a.rank===1&&(x=Ae(x,u)),V(x,a.shape)},S=function(){var L=n;return a.rank===1&&(L=Ae(L,u)),V(L,a.shape)};return{x:g,mean:v,variance:b,scale:w,offset:S}}};var FE={kernelName:Wl,inputsToSave:["x","indices"],gradFunc:function(n,t,e){var i=t[0],r=t[1],a=e.axis,s=Ze(a,i.shape)[0],o=function(){var l=i.shape,u=r.size,c=l.slice(0,s),h=c.length,d=l.slice(a,l.length).slice(1),p=d.length,f=dv(0,h),m=dv(h+1,h+1+p),g=pv([c,[u],d]),v=V(n,g),b=V(r,[u]),w=pv([[h],f,m]),S=lt(v,w),L=Gc(S,b,i.shape[s]),x=Cs(w);return L=lt(L,x),L};return{x:o,indices:function(){return r}}}};function dv(n,t){for(var e=[],i=n;i<t;++i)e.push(i);return e}function pv(n){for(var t=[],e=0;e<n.length;++e)for(var i=0;i<n[e].length;++i)t.push(n[e][i]);return t}var WE={kernelName:Ul,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1];return{a:function(){return Ee(e)},b:function(){return Ee(i)}}}};var UE={kernelName:Bl,gradFunc:function(n){return{x:function(){return ue(n,"float32")}}}};var BE={kernelName:zl,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var zE={kernelName:Pl,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var PE={kernelName:_l,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var _E={kernelName:Hl,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ie(n,fe(e,1))}}}};var ME={kernelName:Ml,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ie(n,ue(e,"float32"))}}}};var HE={kernelName:Vl,inputsToSave:[],outputsToSave:[!0],gradFunc:function(n,t,e){var i=t[0],r=e.axis;return{logits:function(){var a=!0,s=cn(i);return ve(n,J(Ae(n,r,a),s))}}}};function VE(n,t,e,i,r,a,s){i===void 0&&(i=5),r===void 0&&(r=1),a===void 0&&(a=1),s===void 0&&(s=.5);var o=function(c){return c.LRNGrad(e,n,t,i,r,a,s)},l={x:n,y:t,dy:e},u={depthRadius:i,bias:r,alpha:a,beta:s};return z.runKernelFunc(o,l,null,df,u)}var qE=U({localResponseNormalizationBackprop_:VE});var GE={kernelName:ql,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(n,t,e){var i=t,r=i[0],a=i[1],s=e,o=s.depthRadius,l=s.bias,u=s.alpha,c=s.beta;return{x:function(){return qE(r,a,n,o,l,u,c)}}}};function fv(n,t,e,i,r){return t.rank<e.rank&&(t=V(t,Jt(t.shape,i))),n.rank<e.rank&&(n=V(n,Jt(n.shape,i))),{x:function(){var a=J(n,ue(Na(e,t),n.dtype));return r==null?a:lt(a,r)}}}var mv={kernelName:Gl,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(n,t,e){var i=e,r=i.reductionIndices,a=t[0],s=t[1],o=Ze(r,a.shape),l=Zt(o,a.rank),u=fv(n,s,a,o,l);return{x:function(){var c=u.x();return l!=null&&(c=lt(c)),c}}}};var YE={kernelName:Yl,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=function(){return J(n,ue(Wi(e,i),"float32"))},a=function(){return J(n,ue(zs(e,i),"float32"))};return{a:r,b:a}}};function KE(n,t,e,i,r,a,s,o){a===void 0&&(a=[1,1,1]);var l=O(n,"dy","maxPool3dBackprop"),u=O(t,"input","maxPool3dBackprop"),c=O(e,"output","maxPool3dBackprop"),h=l,d=u,p=c,f=!1;u.rank===4&&(f=!0,h=V(l,[1,l.shape[0],l.shape[1],l.shape[2],l.shape[3]]),d=V(u,[1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]]),p=V(c,[1,c.shape[0],c.shape[1],c.shape[2],c.shape[3]])),E(h.rank===5,function(){return"Error in maxPool3dBackprop: dy must be rank 5 but got rank "+(h.rank+".")}),E(d.rank===5,function(){return"Error in maxPool3dBackprop: input must be rank 5 but got rank "+(d.rank+".")}),E(p.rank===5,function(){return"Error in maxPool3dBackprop: output must be rank 5 but got rank "+(p.rank+".")}),E(Ut(r,a),function(){return"Error in maxPool3dBackprop: Either strides or dilations "+("must be 1. Got strides "+r+" and dilations '"+a+"'")}),o!=null&&E(it(s),function(){return"Error in maxPool3dBackprop: pad must be an integer when "+("using, dimRoundingMode "+o+" but got pad "+s+".")});var m=function(w){var S=Ia(d.shape,i,r,a,s,o);return w.maxPool3dBackprop(h,d,p,S)},g={dy:h,input:d,output:p},v={filterSize:i,strides:r,dilations:a,pad:s,dimRoundingMode:o},b=z.runKernelFunc(m,g,null,ff,v);return f?V(b,[b.shape[1],b.shape[2],b.shape[3],b.shape[4]]):b}var jE=U({maxPool3dBackprop_:KE});var $E={kernelName:jl,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(n,t,e){var i=t,r=i[0],a=i[1],s=e,o=s.filterSize,l=s.strides,u=s.dilations,c=s.pad,h=s.dimRoundingMode,d=u??[1,1,1];return{x:function(){return jE(n,r,a,o,l,d,c,h)}}}};function XE(n,t,e,i,r,a,s){var o=O(n,"dy","maxPoolBackprop"),l=O(t,"input","maxPoolBackprop"),u=O(e,"output","maxPoolBackprop");E(l.rank===o.rank,function(){return"Rank of input ("+l.rank+") does not match rank of dy "+("("+o.rank+")")}),E(o.rank===4,function(){return"Error in maxPoolBackprop: dy must be rank 4 but got rank "+(o.rank+".")}),E(l.rank===4,function(){return"Error in maxPoolBackprop: input must be rank 4 but got rank "+(l.rank+".")}),s!=null&&E(it(a),function(){return"Error in maxPoolBackprop: pad must be an integer when using, "+("dimRoundingMode "+s+" but got pad "+a+".")});var c=function(p){var f=Tr(l.shape,i,r,1,a,s);return p.maxPoolBackprop(o,l,u,f)},h={dy:o,input:l,output:u},d={filterSize:i,strides:r,pad:a,dimRoundingMode:s};return z.runKernelFunc(c,h,null,pf,d)}var JE=U({maxPoolBackprop_:XE});var ZE={kernelName:Kl,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(n,t,e){var i=t,r=i[0],a=i[1],s=e,o=s.filterSize,l=s.strides,u=s.pad;return{x:function(){return JE(n,r,a,o,l,u)}}}};var QE={kernelName:$l,inputsToSave:["x"],outputsToSave:[!0],gradFunc:function(n,t,e){var i=e,r=i.axis,a=t[0],s=t[1],o=Ze(r,a.shape),l=Zt(o,a.rank),u=fv(n,s,a,o,l);return{x:function(){var c=u.x();return l!=null&&(c=lt(c)),c}}}};var eD={kernelName:Xl,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=function(){return J(n,ue(Ui(e,i),"float32"))},a=function(){return J(n,ue(li(e,i),"float32"))};return{a:r,b:a}}};var tD={kernelName:Jl,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=Qe(e.shape,i.shape),a=function(){var o=ft(e.shape,r);return o.length>0?V(Ae(n,o),e.shape):n},s=function(){var o=J(n,mt(Ws(Ie(e,i)))),l=ft(i.shape,r);return l.length>0?V(Ae(o,l),i.shape):o};return{a,b:s}}};var nD={kernelName:Zl,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=Qe(e.shape,i.shape),a=function(){var o=J(n,ue(i,"float32")),l=ft(e.shape,r);return l.length>0?V(Ae(o,l),e.shape):o},s=function(){var o=J(n,ue(e,"float32")),l=ft(i.shape,r);return l.length>0?V(Ae(o,l),i.shape):o};return{a,b:s}}};var iD={kernelName:Ql,gradFunc:function(n){return{x:function(){return mt(n)}}}};var rD={kernelName:tu,inputsToSave:["indices"],gradFunc:function(n,t){var e=t[0];return{indices:function(){return Hn(e.shape,"float32")}}}};var aD={kernelName:eu,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var gv={kernelName:nu,inputsToSave:["x"],gradFunc:function(n,t,e){var i=t[0],r=e.paddings,a=r.map(function(s){return s[0]});return{x:function(){return Pe(n,a,i.shape)}}}};var sD={kernelName:iu,inputsToSave:["a","b"],outputsToSave:[!0],gradFunc:function(n,t){var e=t[0],i=t[1],r=t[2],a=e,s=i,o=Qe(a.shape,s.shape),l=function(){var c=ue(s,"float32"),h=J(n,J(c,Vn(a,ve(c,we(1))))),d=ft(a.shape,o);return d.length>0&&(h=Ae(h,d)),V(h,a.shape)},u=function(){var c=li(a,0),h=un(c,Bi(a),Ee(a)),d=J(n,J(r,h)),p=ft(s.shape,o);return p.length>0&&(d=Ae(d,p)),V(d,s.shape)};return{a:l,b:u}}};var oD={kernelName:ru,inputsToSave:["x","alpha"],gradFunc:function(n,t){var e=t[0],i=t[1],r=li(e,0);return{x:function(){return un(r,n,J(n,i))},alpha:function(){var a=un(r,Ee(n),J(n,e)),s=ft(i.shape,n.shape);return s.length>0&&(a=Ae(a,s)),V(a,i.shape)}}}};var lD={kernelName:au,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ie(n,mt(Ge(e)))}}}};var uD={kernelName:cu,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0],i=J(Ui(e,6),Fr(e));return{x:function(){return J(n,ue(i,"float32"))}}}};var cD={kernelName:su,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(n,ue(Fr(e),"float32"))}}}};var hD={kernelName:ou,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return V(n,e.shape)}}}};var dD={kernelName:uu,inputsToSave:["images"],gradFunc:function(n,t,e){var i=t[0],r=function(o){var l=e.alignCorners;return o.resizeBilinearBackprop(n,i,l)},a={images:i},s=function(){return z.runKernelFunc(r,a,null,Af,e)};return{images:s}}};var pD={kernelName:lu,inputsToSave:["images"],gradFunc:function(n,t,e){var i=t[0],r=function(o){var l=e.alignCorners;return o.resizeNearestNeighborBackprop(n,i,l)},a={images:i},s=function(){return z.runKernelFunc(r,a,null,If,e)};return{images:s}}};var fD={kernelName:hu,gradFunc:function(n,t,e){var i=e.dims,r=Ze(i,n.shape);return{x:function(){return qn(n,r)}}}};var mD={kernelName:du,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var gD={kernelName:pu,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return mt(Ie(n,J(Vn(e,1.5),2)))}}}};var vD={kernelName:fu,inputsToSave:["condition"],gradFunc:function(n,t){var e=t[0];return{condition:function(){return ue(Ee(e),"float32")},t:function(){return J(n,ue(e,n.dtype))},e:function(){return J(n,ue(_s(e),n.dtype))}}}};var yD={kernelName:mu,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){var i=li(e,we(0)),r=we(cv),a=we(hv),s=J(n,a),o=J(J(n,r),cn(ue(e,"float32")));return un(i,s,o)}}}};var bD={kernelName:wu,outputsToSave:[!0],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(n,J(e,ve(we(1),e)))}}}};var wD={kernelName:bu,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var SD={kernelName:vu,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(Fs(ue(e,"float32")),n)}}}};var LD={kernelName:yu,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(Ac(ue(e,"float32")),n)}}}};var ID={kernelName:gu,inputsToSave:["x"],gradFunc:function(n,t,e){for(var i=t[0],r=e,a=r.begin,s=r.size,o=i.shape,l=fc(i,a,s),u=l[0],c=l[1],h=[],d=0;d<n.rank;d++)h.push([u[d],o[d]-u[d]-c[d]]);return{x:function(){return _i(n,h)}}}};var AD={kernelName:Nu,outputsToSave:[!0],gradFunc:function(n,t,e){var i=t[0],r=e.dim,a=!0,s=J(n,i);return{logits:function(){return ve(s,J(Ae(s,[r],a),i))}}}};var TD={kernelName:Su,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(n,Fi(e))}}}};var vv={kernelName:Au,gradFunc:function(n,t,e){var i=e,r=i.blockShape,a=i.paddings;return{x:function(){return Es(n,r,a)}}}};var yv={kernelName:Tu,gradFunc:function(n,t,e){var i=e.axis;return{x:function(){return Nt(n,i)}}}};var ND={kernelName:Lu,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ie(n,J(Bt(ue(e,"float32")),2))}}}};var xD={kernelName:Nf,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(n,J(ue(e,"float32"),2))}}}};var CD={kernelName:xu,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=we(2),a=function(){return J(n,J(r,ve(e,i)))},s=function(){return J(n,J(r,ve(i,e)))};return{a,b:s}}};var RD={kernelName:Uu,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var OD={kernelName:Cu,inputsToSave:["a","b"],gradFunc:function(n,t){var e=t[0],i=t[1],r=Qe(e.shape,i.shape),a=function(){var o=n,l=ft(e.shape,r);return l.length>0&&(o=Ae(o,l)),V(o,e.shape)},s=function(){var o=n,l=ft(i.shape,r);return l.length>0&&(o=Ae(o,l)),V(mt(o),i.shape)};return{a,b:s}}};var ED={kernelName:Iu,inputsToSave:["x"],gradFunc:function(n,t,e){var i=t[0],r=i.shape.slice(),a=e.axis,s=Ze(a,i.shape);s.forEach(function(u){r[u]=1});var o=V(n,r),l=J(o,Or(i.shape,"float32"));return{x:function(){return l}}}};var DD={kernelName:Ru,inputsToSave:["x"],gradFunc:function(n,t){var e=t[0];return{x:function(){return Ie(n,Ge(Fs(e)))}}}};var kD={kernelName:Ou,outputsToSave:[!0],gradFunc:function(n,t){var e=t[0];return{x:function(){return J(ve(we(1),Ge(e)),n)}}}};var FD={kernelName:Eu,inputsToSave:["x"],gradFunc:function(n,t,e){var i=t[0],r=e.reps,a=function(){var s=Ee(i);if(i.rank===1)for(var o=0;o<r[0];++o)s=fe(s,Pe(n,[o*i.shape[0]],[i.shape[0]]));else if(i.rank===2)for(var o=0;o<r[0];++o)for(var l=0;l<r[1];++l)s=fe(s,Pe(n,[o*i.shape[0],l*i.shape[1]],[i.shape[0],i.shape[1]]));else if(i.rank===3)for(var o=0;o<r[0];++o)for(var l=0;l<r[1];++l)for(var u=0;u<r[2];++u)s=fe(s,Pe(n,[o*i.shape[0],l*i.shape[1],u*i.shape[2]],[i.shape[0],i.shape[1],i.shape[2]]));else if(i.rank===4)for(var o=0;o<r[0];++o)for(var l=0;l<r[1];++l)for(var u=0;u<r[2];++u)for(var c=0;c<r[3];++c)s=fe(s,Pe(n,[o*i.shape[0],l*i.shape[1],u*i.shape[2],c*i.shape[3]],[i.shape[0],i.shape[1],i.shape[2],i.shape[3]]));else throw new Error("Gradient for tile operation is not implemented for rank-"+(i.rank+" tensors yet."));return s};return{x:a}}};var WD={kernelName:Du,gradFunc:function(n,t,e){var i=e,r=i.perm,a=Cs(r);return{x:function(){return lt(n,a)}}}};var UD={kernelName:ku,gradFunc:function(n,t,e){var i=e,r=i.axis;return{value:function(){return Vi(n,r)}}}};var zD={kernelName:Fu,inputsToSave:["segmentIds"],gradFunc:function(n,t){var e=t[0],i=function(){return BD(n,e)};return{x:i}}};function BD(n,t){for(var e=Rr(t,Ee(t)),i=Us(n,e),r=Wi(t,we(0,"int32")),a=i.rank-r.rank,s=0;s<a;++s)r=hn(r,s+1);r=Pi(r,Or(i.shape,"bool"));var o=Ee(i);return un(r,i,o)}var PD={kernelName:Wu,gradFunc:function(n){return{x:function(){return Ee(n)}}}};var _D=[GO,YO,KO,jO,$O,XO,JO,ZO,QO,eE,tE,nE,aE,lE,uE,cE,hE,dE,pE,fE,mE,vE,gE,wE,SE,LE,IE,AE,TE,NE,xE,CE,RE,OE,DE,EE,kE,FE,WE,UE,BE,zE,PE,_E,ME,HE,GE,mv,mv,YE,$E,ZE,QE,eD,tD,nD,iD,rD,aD,gv,gv,sD,oD,lD,uD,cD,hD,dD,pD,fD,mD,gD,vD,yD,bD,wD,SD,LD,ID,AD,TD,vv,vv,yv,yv,ND,CD,xD,RD,OD,ED,DD,kD,FD,WD,UD,zD,PD];for(var th=0,bv=_D;th<bv.length;th++){var MD=bv[th];kf(MD)}Y.prototype.abs=function(){return this.throwIfDisposed(),Ht(this)};Y.prototype.acos=function(){return this.throwIfDisposed(),Bm(this)};Y.prototype.acosh=function(){return this.throwIfDisposed(),zm(this)};Y.prototype.addStrict=function(n){return this.throwIfDisposed(),Hg(this,n)};Y.prototype.add=function(n){return this.throwIfDisposed(),fe(this,n)};Y.prototype.all=function(n,t){return this.throwIfDisposed(),Mm(this,n,t)};Y.prototype.any=function(n,t){return this.throwIfDisposed(),Hm(this,n,t)};Y.prototype.argMax=function(n){return this.throwIfDisposed(),Vm(this,n)};Y.prototype.argMin=function(n){return this.throwIfDisposed(),qm(this,n)};Y.prototype.asScalar=function(){return this.throwIfDisposed(),E(this.size===1,function(){return"The array must have only 1 element."}),V(this,[])};Y.prototype.asType=function(n){return this.throwIfDisposed(),ue(this,n)};Y.prototype.as1D=function(){return this.throwIfDisposed(),V(this,[this.size])};Y.prototype.as2D=function(n,t){return this.throwIfDisposed(),V(this,[n,t])};Y.prototype.as3D=function(n,t,e){return this.throwIfDisposed(),V(this,[n,t,e])};Y.prototype.as4D=function(n,t,e,i){return this.throwIfDisposed(),V(this,[n,t,e,i])};Y.prototype.as5D=function(n,t,e,i,r){return this.throwIfDisposed(),V(this,[n,t,e,i,r])};Y.prototype.asin=function(){return this.throwIfDisposed(),Gm(this)};Y.prototype.asinh=function(){return this.throwIfDisposed(),Ym(this)};Y.prototype.atan=function(){return this.throwIfDisposed(),Km(this)};Y.prototype.atan2=function(n){return this.throwIfDisposed(),jm(this,n)};Y.prototype.atanh=function(){return this.throwIfDisposed(),$m(this)};Y.prototype.avgPool=function(n,t,e,i){return this.throwIfDisposed(),Lc(this,n,t,e,i)};Y.prototype.batchToSpaceND=function(n,t){return this.throwIfDisposed(),Es(this,n,t)};Y.prototype.batchNorm=function(n,t,e,i,r){return this.throwIfDisposed(),Aa(this,n,t,e,i,r)};Y.prototype.broadcastTo=function(n){return this.throwIfDisposed(),ks(this,n)};Y.prototype.cast=function(n){return this.throwIfDisposed(),ue(this,n)};Y.prototype.ceil=function(){return this.throwIfDisposed(),Zm(this)};Y.prototype.clipByValue=function(n,t){return this.throwIfDisposed(),Qm(this,n,t)};Y.prototype.concat=function(n,t){return this.throwIfDisposed(),n instanceof Y&&(n=[n]),Nt([this].concat(n),t)};Y.prototype.conv1d=function(n,t,e,i,r,a){return this.throwIfDisposed(),eg(this,n,t,e,i,r,a)};Y.prototype.conv2dTranspose=function(n,t,e,i,r){return this.throwIfDisposed(),tg(this,n,t,e,i,r)};Y.prototype.conv2d=function(n,t,e,i,r,a){return this.throwIfDisposed(),xr(this,n,t,e,i,r,a)};Y.prototype.cos=function(){return this.throwIfDisposed(),Fs(this)};Y.prototype.cosh=function(){return this.throwIfDisposed(),Ac(this)};Y.prototype.cumsum=function(n,t,e){return this.throwIfDisposed(),Tc(this,n,t,e)};Y.prototype.depthToSpace=function(n,t){return this.throwIfDisposed(),ig(this,n,t)};Y.prototype.depthwiseConv2D=function(n,t,e,i,r,a){return Lt("depthwiseConv2D is deprecated, use depthwiseConv2d instead"),this.throwIfDisposed(),Ta(this,n,t,e,i,r,a)};Y.prototype.depthwiseConv2d=function(n,t,e,i,r,a){return this.throwIfDisposed(),Ta(this,n,t,e,i,r,a)};Y.prototype.dilation2d=function(n,t,e,i,r){return this.throwIfDisposed(),rg(this,n,t,e,i,r)};Y.prototype.divNoNan=function(n){return this.throwIfDisposed(),ag(this,n)};Y.prototype.divStrict=function(n){return this.throwIfDisposed(),Vg(this,n)};Y.prototype.div=function(n){return this.throwIfDisposed(),Ie(this,n)};Y.prototype.dot=function(n){return this.throwIfDisposed(),sg(this,n)};Y.prototype.elu=function(){return this.throwIfDisposed(),Nc(this)};Y.prototype.equalStrict=function(n){return this.throwIfDisposed(),Ug(this,n)};Y.prototype.equal=function(n){return this.throwIfDisposed(),Na(this,n)};Y.prototype.erf=function(){return this.throwIfDisposed(),og(this)};Y.prototype.exp=function(){return this.throwIfDisposed(),cn(this)};Y.prototype.expandDims=function(n){return this.throwIfDisposed(),hn(this,n)};Y.prototype.expm1=function(){return this.throwIfDisposed(),lg(this)};Y.prototype.fft=function(){return this.throwIfDisposed(),Gs(this)};Y.prototype.flatten=function(){return this.throwIfDisposed(),V(this,[this.size])};Y.prototype.floor=function(){return this.throwIfDisposed(),Ws(this)};Y.prototype.floorDiv=function(n){return this.throwIfDisposed(),yc(this,n)};Y.prototype.gather=function(n,t){return this.throwIfDisposed(),Us(this,n,t)};Y.prototype.greaterEqualStrict=function(n){return this.throwIfDisposed(),Bg(this,n)};Y.prototype.greaterEqual=function(n){return this.throwIfDisposed(),Wi(this,n)};Y.prototype.greaterStrict=function(n){return this.throwIfDisposed(),zg(this,n)};Y.prototype.greater=function(n){return this.throwIfDisposed(),li(this,n)};Y.prototype.ifft=function(){return this.throwIfDisposed(),Oa(this)};Y.prototype.irfft=function(){return this.throwIfDisposed(),qc(this)};Y.prototype.isFinite=function(){return this.throwIfDisposed(),hg(this)};Y.prototype.isInf=function(){return this.throwIfDisposed(),dg(this)};Y.prototype.isNaN=function(){return this.throwIfDisposed(),pg(this)};Y.prototype.leakyRelu=function(n){return this.throwIfDisposed(),fg(this,n)};Y.prototype.lessEqualStrict=function(n){return this.throwIfDisposed(),Pg(this,n)};Y.prototype.lessEqual=function(n){return this.throwIfDisposed(),Ui(this,n)};Y.prototype.lessStrict=function(n){return this.throwIfDisposed(),_g(this,n)};Y.prototype.less=function(n){return this.throwIfDisposed(),zs(this,n)};Y.prototype.localResponseNormalization=function(n,t,e,i){return this.throwIfDisposed(),mg(this,n,t,e,i)};Y.prototype.logSigmoid=function(){return this.throwIfDisposed(),vg(this)};Y.prototype.logSoftmax=function(n){return this.throwIfDisposed(),yg(this,n)};Y.prototype.logSumExp=function(n,t){return this.throwIfDisposed(),Ec(this,n,t)};Y.prototype.log=function(){return this.throwIfDisposed(),Bi(this)};Y.prototype.log1p=function(){return this.throwIfDisposed(),Rc(this)};Y.prototype.logicalAnd=function(n){return this.throwIfDisposed(),Pi(this,n)};Y.prototype.logicalNot=function(){return this.throwIfDisposed(),_s(this)};Y.prototype.logicalOr=function(n){return this.throwIfDisposed(),Dc(this,n)};Y.prototype.logicalXor=function(n){return this.throwIfDisposed(),bg(this,n)};Y.prototype.matMul=function(n,t,e){return this.throwIfDisposed(),Fe(this,n,t,e)};Y.prototype.maxPool=function(n,t,e,i){return this.throwIfDisposed(),kc(this,n,t,e,i)};Y.prototype.max=function(n,t){return this.throwIfDisposed(),zi(this,n,t)};Y.prototype.maximumStrict=function(n){return this.throwIfDisposed(),qg(this,n)};Y.prototype.maximum=function(n){return this.throwIfDisposed(),Rr(this,n)};Y.prototype.mean=function(n,t){return this.throwIfDisposed(),xa(this,n,t)};Y.prototype.min=function(n,t){return this.throwIfDisposed(),Ms(this,n,t)};Y.prototype.minimumStrict=function(n){return this.throwIfDisposed(),Gg(this,n)};Y.prototype.minimum=function(n){return this.throwIfDisposed(),Hs(this,n)};Y.prototype.modStrict=function(n){return this.throwIfDisposed(),Yg(this,n)};Y.prototype.mod=function(n){return this.throwIfDisposed(),Fc(this,n)};Y.prototype.mulStrict=function(n){return this.throwIfDisposed(),Kg(this,n)};Y.prototype.mul=function(n){return this.throwIfDisposed(),J(this,n)};Y.prototype.neg=function(){return this.throwIfDisposed(),mt(this)};Y.prototype.norm=function(n,t,e){return this.throwIfDisposed(),Xs(this,n,t,e)};Y.prototype.notEqualStrict=function(n){return this.throwIfDisposed(),Mg(this,n)};Y.prototype.notEqual=function(n){return this.throwIfDisposed(),Vs(this,n)};Y.prototype.oneHot=function(n,t,e){return t===void 0&&(t=1),e===void 0&&(e=0),this.throwIfDisposed(),Ns(this,n,t,e)};Y.prototype.onesLike=function(){return this.throwIfDisposed(),Wc(this)};Y.prototype.pad=function(n,t){return this.throwIfDisposed(),_i(this,n,t)};Y.prototype.pool=function(n,t,e,i,r){return this.throwIfDisposed(),wg(this,n,t,e,i,r)};Y.prototype.powStrict=function(n){return this.throwIfDisposed(),jg(this,n)};Y.prototype.pow=function(n){return this.throwIfDisposed(),Vn(this,n)};Y.prototype.prelu=function(n){return this.throwIfDisposed(),Uc(this,n)};Y.prototype.prod=function(n,t){return this.throwIfDisposed(),Sg(this,n,t)};Y.prototype.reciprocal=function(){return this.throwIfDisposed(),Ig(this)};Y.prototype.relu=function(){return this.throwIfDisposed(),Ra(this)};Y.prototype.relu6=function(){return this.throwIfDisposed(),_c(this)};Y.prototype.reshapeAs=function(n){return this.throwIfDisposed(),V(this,n.shape)};Y.prototype.reshape=function(n){return this.throwIfDisposed(),V(this,n)};Y.prototype.resizeBilinear=function(n,t){return this.throwIfDisposed(),ov(this,n,t)};Y.prototype.resizeNearestNeighbor=function(n,t){return this.throwIfDisposed(),lv(this,n,t)};Y.prototype.reverse=function(n){return this.throwIfDisposed(),qn(this,n)};Y.prototype.rfft=function(){return this.throwIfDisposed(),Ys(this)};Y.prototype.round=function(){return this.throwIfDisposed(),Ag(this)};Y.prototype.rsqrt=function(){return this.throwIfDisposed(),Mc(this)};Y.prototype.selu=function(){return this.throwIfDisposed(),Tg(this)};Y.prototype.separableConv2d=function(n,t,e,i,r,a){return this.throwIfDisposed(),Ng(this,n,t,e,i,r,a)};Y.prototype.sigmoid=function(){return this.throwIfDisposed(),Fi(this)};Y.prototype.sign=function(){return this.throwIfDisposed(),xg(this)};Y.prototype.sin=function(){return this.throwIfDisposed(),Hc(this)};Y.prototype.sinh=function(){return this.throwIfDisposed(),Vc(this)};Y.prototype.slice=function(n,t){return this.throwIfDisposed(),Pe(this,n,t)};Y.prototype.softmax=function(n){return this.throwIfDisposed(),Cg(this,n)};Y.prototype.softplus=function(){return this.throwIfDisposed(),Oc(this)};Y.prototype.spaceToBatchND=function(n,t){return this.throwIfDisposed(),qs(this,n,t)};Y.prototype.split=function(n,t){return this.throwIfDisposed(),kr(this,n,t)};Y.prototype.sqrt=function(){return this.throwIfDisposed(),Bt(this)};Y.prototype.square=function(){return this.throwIfDisposed(),Ge(this)};Y.prototype.squaredDifference=function(n){return this.throwIfDisposed(),Ks(this,n)};Y.prototype.squaredDifferenceStrict=function(n){return this.throwIfDisposed(),$g(this,n)};Y.prototype.squeeze=function(n){return this.throwIfDisposed(),js(this,n)};Y.prototype.stack=function(n,t){this.throwIfDisposed();var e=n instanceof Y?[this,n]:[this].concat(n);return Vi(e,t)};Y.prototype.step=function(n){return this.throwIfDisposed(),Fr(this,n)};Y.prototype.stridedSlice=function(n,t,e,i,r,a,s,o){return this.throwIfDisposed(),Og(this,n,t,e,i,r,a,s,o)};Y.prototype.subStrict=function(n){return this.throwIfDisposed(),Xg(this,n)};Y.prototype.sub=function(n){return this.throwIfDisposed(),ve(this,n)};Y.prototype.sum=function(n,t){return this.throwIfDisposed(),Ae(this,n,t)};Y.prototype.tan=function(){return this.throwIfDisposed(),Eg(this)};Y.prototype.tanh=function(){return this.throwIfDisposed(),Os(this)};Y.prototype.tile=function(n){return this.throwIfDisposed(),Cr(this,n)};Y.prototype.toBool=function(){return this.throwIfDisposed(),ue(this,"bool")};Y.prototype.toFloat=function(){return this.throwIfDisposed(),ue(this,"float32")};Y.prototype.toInt=function(){return this.throwIfDisposed(),ue(this,"int32")};Y.prototype.topk=function(n,t){return this.throwIfDisposed(),Dg(this,n,t)};Y.prototype.transpose=function(n){return this.throwIfDisposed(),lt(this,n)};Y.prototype.unique=function(n){return this.throwIfDisposed(),kg(this,n)};Y.prototype.unsortedSegmentSum=function(n,t){return this.throwIfDisposed(),Gc(this,n,t)};Y.prototype.unstack=function(n){return this.throwIfDisposed(),$s(this,n)};Y.prototype.where=function(n,t){return this.throwIfDisposed(),un(n,this,t)};Y.prototype.zerosLike=function(){return this.throwIfDisposed(),Ee(this)};I.Abs=el;I.Acos=tl;I.Acosh=nl;I.AdadeltaOptimizer=$c;I.AdagradOptimizer=Xc;I.AdamOptimizer=Jc;I.AdamaxOptimizer=Zc;I.Add=fs;I.AddN=il;I.All=Wp;I.Any=Up;I.ArgMax=rl;I.ArgMin=al;I.Asin=sl;I.Asinh=ol;I.Atan=ll;I.Atan2=cl;I.Atanh=ul;I.AvgPool=hl;I.AvgPool3D=dl;I.AvgPool3DBackprop=zp;I.AvgPoolBackprop=Bp;I.BatchMatMul=pl;I.BatchToSpaceND=fl;I.BroadcastTo=ml;I.Cast=ms;I.Ceil=gl;I.ClipByValue=vl;I.Complex=Pp;I.Concat=yl;I.Conv2D=bl;I.Conv2DBackpropFilter=_p;I.Conv2DBackpropInput=wl;I.Conv3D=Sl;I.Conv3DBackpropFilterV2=Mp;I.Conv3DBackpropInputV2=Hp;I.Cos=Ll;I.Cosh=Il;I.CropAndResize=Vp;I.Cumsum=Al;I.DataStorage=OI;I.DepthToSpace=qp;I.DepthwiseConv2dNative=Tl;I.DepthwiseConv2dNativeBackpropFilter=Gp;I.DepthwiseConv2dNativeBackpropInput=Yp;I.Diag=Kp;I.Dilation2D=Nl;I.Dilation2DBackpropFilter=$p;I.Dilation2DBackpropInput=jp;I.Div=xl;I.Elu=Cl;I.EluGrad=Xp;I.Environment=Dp;I.Equal=Jp;I.Erf=Rl;I.Exp=Ol;I.Expm1=El;I.FFT=Zp;I.Fill=Qp;I.FlipLeftRight=ef;I.Floor=Dl;I.FloorDiv=kl;I.FromPixels=Bu;I.FusedBatchNorm=Fl;I.FusedConv2D=Pu;I.FusedDepthwiseConv2D=_u;I.GatherNd=tf;I.GatherV2=Wl;I.Greater=nf;I.GreaterEqual=Ul;I.IFFT=rf;I.Identity=Bl;I.Imag=af;I.IsFinite=zl;I.IsInf=Pl;I.IsNan=_l;I.KernelBackend=Op;I.LRN=ql;I.LRNBackprop=df;I.Less=sf;I.LessEqual=of;I.LinSpace=lf;I.Log=Ml;I.Log1p=Hl;I.LogSoftmax=Vl;I.LogicalAnd=uf;I.LogicalNot=cf;I.LogicalOr=hf;I.Max=Gl;I.MaxPool=Kl;I.MaxPool3D=jl;I.MaxPool3DBackprop=ff;I.MaxPoolBackprop=pf;I.MaxPoolWithArgmax=mf;I.Maximum=Yl;I.Mean=UI;I.Min=$l;I.Minimum=Xl;I.Mod=Jl;I.MomentumOptimizer=Qc;I.Multiply=Zl;I.Negate=Ql;I.NonMaxSuppressionV3=vf;I.NonMaxSuppressionV4=yf;I.NonMaxSuppressionV5=bf;I.NotEqual=gf;I.OP_SCOPE_SUFFIX=tm;I.OneHot=tu;I.OnesLike=eu;I.Optimizer=ui;I.PadV2=nu;I.Pool=BI;I.Pow=iu;I.Prelu=ru;I.Prod=wf;I.RMSPropOptimizer=eh;I.Range=Sf;I.Real=Lf;I.Reciprocal=au;I.Relu=su;I.Relu6=cu;I.Reshape=ou;I.ResizeBilinear=uu;I.ResizeBilinearGrad=Af;I.ResizeNearestNeighbor=lu;I.ResizeNearestNeighborGrad=If;I.Reverse=hu;I.RotateWithOffset=Ef;I.Round=du;I.Rsqrt=pu;I.SGDOptimizer=to;I.ScatterNd=Tf;I.SelectV2=fu;I.Selu=mu;I.Sigmoid=wu;I.Sign=bu;I.Sin=vu;I.Sinh=yu;I.Slice=gu;I.Softmax=Nu;I.Softplus=Su;I.SpaceToBatchND=Au;I.SparseToDense=xf;I.SplitV=Tu;I.Sqrt=Lu;I.Square=Nf;I.SquaredDifference=xu;I.Step=Uu;I.StridedSlice=Cf;I.Sub=Cu;I.Sum=Iu;I.Tan=Ru;I.Tanh=Ou;I.Tensor=Y;I.TensorBuffer=Ls;I.Tile=Eu;I.TopK=Rf;I.Transpose=Du;I.Unique=Of;I.Unpack=ku;I.UnsortedSegmentSum=Fu;I.Variable=ya;I.ZerosLike=Wu;I._FusedMatMul=zu;I.abs=Ht;I.acos=Bm;I.acosh=zm;I.add=fe;I.addN=mT;I.addStrict=Hg;I.all=Mm;I.any=Hm;I.argMax=Vm;I.argMin=qm;I.asin=Gm;I.asinh=Ym;I.atan=Km;I.atan2=jm;I.atanh=$m;I.avgPool=Lc;I.avgPool3d=kT;I.backend=aT;I.backend_util=_O;I.basicLSTMCell=PT;I.batchNorm=Aa;I.batchNorm2d=qT;I.batchNorm3d=YT;I.batchNorm4d=jT;I.batchToSpaceND=Es;I.booleanMaskAsync=vC;I.broadcastTo=ks;I.browser=RA;I.buffer=Tn;I.cast=ue;I.ceil=Zm;I.clipByValue=Qm;I.clone=Di;I.complex=ti;I.concat=Nt;I.concat1d=QT;I.concat2d=t1;I.concat3d=i1;I.concat4d=a1;I.conv1d=eg;I.conv2d=xr;I.conv2dTranspose=tg;I.conv3d=h1;I.conv3dTranspose=f1;I.copyRegisteredKernels=_I;I.cos=Fs;I.cosh=Ac;I.cosineWindow=Yc;I.cumsum=Tc;I.customGrad=Cn;I.deprecationWarn=Lt;I.depthToSpace=ig;I.depthwiseConv2d=Ta;I.device_util=L2;I.diag=S1;I.dilation2d=rg;I.disableDeprecationWarnings=YA;I.dispose=Wt;I.disposeVariables=KA;I.div=Ie;I.divNoNan=ag;I.divStrict=Vg;I.dot=sg;I.dropout=GC;I.elu=Nc;I.enableDebugMode=GA;I.enableProdMode=qA;I.enclosingPowerOfTwo=Zg;I.engine=jA;I.env=He;I.equal=Na;I.equalStrict=Ug;I.erf=og;I.exp=cn;I.expandDims=hn;I.expm1=lg;I.eye=ug;I.fft=Gs;I.fill=xc;I.findBackend=nT;I.findBackendFactory=iT;I.floor=Ws;I.floorDiv=yc;I.fused=iR;I.gather=Us;I.gatherND=HC;I.gather_util=OA;I.getBackend=eT;I.getGradient=Vu;I.getKernel=Hu;I.getKernelsForBackend=gs;I.grad=nN;I.grads=iN;I.greater=li;I.greaterEqual=Wi;I.greaterEqualStrict=Bg;I.greaterStrict=zg;I.ifft=Oa;I.imag=Bs;I.image=uO;I.inTopKAsync=KC;I.io=yA;I.irfft=qc;I.isFinite=hg;I.isInf=dg;I.isNaN=pg;I.keep=Um;I.kernel_impls=qO;I.leakyRelu=fg;I.less=zs;I.lessEqual=Ui;I.lessEqualStrict=Pg;I.lessStrict=_g;I.linalg=cO;I.linspace=Z1;I.localResponseNormalization=mg;I.log=Bi;I.log1p=Rc;I.logSigmoid=vg;I.logSoftmax=yg;I.logSumExp=Ec;I.logicalAnd=Pi;I.logicalNot=_s;I.logicalOr=Dc;I.logicalXor=bg;I.losses=hO;I.matMul=Fe;I.math=TA;I.max=zi;I.maxPool=kc;I.maxPool3d=wN;I.maxPoolWithArgmax=LN;I.maximum=Rr;I.maximumStrict=qg;I.mean=xa;I.memory=$A;I.min=Ms;I.minimum=Hs;I.minimumStrict=Gg;I.mod=Fc;I.modStrict=Yg;I.moments=RN;I.movingAverage=WC;I.mul=J;I.mulStrict=Kg;I.multiRNNCell=EN;I.multinomial=kN;I.neg=mt;I.nextFrame=fO;I.norm=Xs;I.notEqual=Vs;I.notEqualStrict=Mg;I.oneHot=Ns;I.ones=Or;I.onesLike=Wc;I.op=U;I.outerProduct=zN;I.pad=_i;I.pad1d=MN;I.pad2d=VN;I.pad3d=GN;I.pad4d=KN;I.pool=wg;I.pow=Vn;I.powStrict=jg;I.prelu=Uc;I.print=hm;I.prod=Sg;I.profile=XA;I.rand=nx;I.randomGamma=px;I.randomNormal=mx;I.randomUniform=Lg;I.range=Pc;I.ready=QA;I.real=Ca;I.reciprocal=Ig;I.registerBackend=rT;I.registerGradient=kf;I.registerKernel=Df;I.relu=Ra;I.relu6=_c;I.removeBackend=tT;I.reshape=V;I.reverse=qn;I.reverse1d=Lx;I.reverse2d=Ax;I.reverse3d=Nx;I.reverse4d=Cx;I.rfft=Ys;I.round=Ag;I.rsqrt=Mc;I.scalar=we;I.scatterND=BC;I.scatter_util=EA;I.selu=Tg;I.separableConv2d=Ng;I.serialization=FA;I.setBackend=ZA;I.setPlatform=sT;I.setdiff1dAsync=Fx;I.sigmoid=Fi;I.sign=xg;I.signal=lO;I.sin=Hc;I.sinh=Vc;I.slice=Pe;I.slice1d=Px;I.slice2d=Mx;I.slice3d=Vx;I.slice4d=Gx;I.slice_util=Dm;I.softmax=Cg;I.softplus=Oc;I.spaceToBatchND=qs;I.sparseToDense=_C;I.spectral=oO;I.split=kr;I.sqrt=Bt;I.square=Ge;I.squaredDifference=Ks;I.squaredDifferenceStrict=$g;I.squeeze=js;I.stack=Vi;I.step=Fr;I.stridedSlice=Og;I.sub=ve;I.subStrict=Xg;I.sum=Ae;I.sumOutType=p2;I.tan=Eg;I.tanh=Os;I.tensor=ii;I.tensor1d=Dr;I.tensor2d=Ea;I.tensor3d=ym;I.tensor4d=aC;I.tensor5d=sC;I.tensor6d=oC;I.tensor_util=g2;I.test_util=HA;I.tidy=pt;I.tile=Cr;I.time=JA;I.topk=Dg;I.train=dO;I.transpose=lt;I.truncatedNormal=cC;I.unique=kg;I.unregisterGradient=PI;I.unregisterKernel=zI;I.unsortedSegmentSum=Gc;I.unstack=$s;I.upcastType=Is;I.util=n2;I.valueAndGrad=rN;I.valueAndGrads=aN;I.variable=fC;I.variableGrads=gg;I.version_core=VA;I.where=un;I.whereAsync=Wg;I.zeros=Hn;I.zerosLike=Ee});var Yb=ge($e=>{"use strict";Object.defineProperty($e,"__esModule",{value:!0});var y=Gi();var nh=function(n,t){return nh=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,i){e.__proto__=i}||function(e,i){for(var r in i)i.hasOwnProperty(r)&&(e[r]=i[r])},nh(n,t)};function Q(n,t){nh(n,t);function e(){this.constructor=n}n.prototype=t===null?Object.create(t):(e.prototype=t.prototype,new e)}var Vt=function(){return Vt=Object.assign||function(t){for(var e,i=1,r=arguments.length;i<r;i++){e=arguments[i];for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&(t[a]=e[a])}return t},Vt.apply(this,arguments)};function HD(n,t){var e={};for(var i in n)Object.prototype.hasOwnProperty.call(n,i)&&t.indexOf(i)<0&&(e[i]=n[i]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var r=0,i=Object.getOwnPropertySymbols(n);r<i.length;r++)t.indexOf(i[r])<0&&(e[i[r]]=n[i[r]]);return e}function Le(n,t,e,i){return new(e||(e=Promise))(function(r,a){function s(u){try{l(i.next(u))}catch(c){a(c)}}function o(u){try{l(i.throw(u))}catch(c){a(c)}}function l(u){u.done?r(u.value):new e(function(c){c(u.value)}).then(s,o)}l((i=i.apply(n,t||[])).next())})}function ye(n,t){var e={label:0,sent:function(){if(a[0]&1)throw a[1];return a[1]},trys:[],ops:[]},i,r,a,s;return s={next:o(0),throw:o(1),return:o(2)},typeof Symbol=="function"&&(s[Symbol.iterator]=function(){return this}),s;function o(u){return function(c){return l([u,c])}}function l(u){if(i)throw new TypeError("Generator is already executing.");for(;e;)try{if(i=1,r&&(a=u[0]&2?r.return:u[0]?r.throw||((a=r.return)&&a.call(r),0):r.next)&&!(a=a.call(r,u[1])).done)return a;(r=0,a)&&(u=[u[0]&2,a.value]);switch(u[0]){case 0:case 1:a=u;break;case 4:return e.label++,{value:u[1],done:!1};case 5:e.label++,r=u[1],u=[0];continue;case 7:u=e.ops.pop(),e.trys.pop();continue;default:if(!(a=e.trys,a=a.length>0&&a[a.length-1])&&(u[0]===6||u[0]===2)){e=0;continue}if(u[0]===3&&(!a||u[1]>a[0]&&u[1]<a[3])){e.label=u[1];break}if(u[0]===6&&e.label<a[1]){e.label=a[1],a=u;break}if(a&&e.label<a[2]){e.label=a[2],e.ops.push(u);break}a[2]&&e.ops.pop(),e.trys.pop();continue}u=t.call(n,e)}catch(c){u=[6,c],r=0}finally{i=a=0}if(u[0]&5)throw u[1];return{value:u[0]?u[1]:void 0,done:!0}}}var ih;function gt(){return ih==null&&(ih=y.backend().epsilon()),ih}function dn(){return"channelsLast"}var ci=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return Object.setPrototypeOf(i,t.prototype),i}return t}(Error),Rn=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return Object.setPrototypeOf(i,t.prototype),i}return t}(Error),M=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return Object.setPrototypeOf(i,t.prototype),i}return t}(Error),Te=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return Object.setPrototypeOf(i,t.prototype),i}return t}(Error),VD=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return Object.setPrototypeOf(i,t.prototype),i}return t}(Error),xH=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return Object.setPrototypeOf(i,t.prototype),i}return t}(Error);function Yi(n,t){if(Array.isArray(n)){for(var e=[],i=0;i<t;i++)e=e.concat(n);return e}else{var e=new Array(t);return e.fill(n),e}}function On(n,t){if(!n)throw new VD(t)}function wv(n,t){for(var e=0,i=0,r=n;i<r.length;i++){var a=r[i];a===t&&e++}return e}function zt(n){return n.length===1?n[0]:n}function Xe(n){return Array.isArray(n)?n:[n]}function Yn(n){var t=n.replace(/(.)([A-Z][a-z0-9]+)/g,"$1_$2"),e=t.replace(/([a-z])([A-Z])/g,"$1_$2").toLowerCase();return e[0]!=="_"?e:"private"+e}function Ki(n){return n.length<=1||n.indexOf("_")===-1?n:n.replace(/[_]+(\w|$)/g,function(t,e){return e.toUpperCase()})}var an={};function rh(n){if(n==null)return null;var t={};return t.className=n.getClassName(),t.config=n.getConfig(),t}function ah(n){if(n==null||typeof n!="object")return;if(Array.isArray(n))n.forEach(function(s){return ah(s)});else for(var t=Object.keys(n),e=0,i=t;e<i.length;e++){var r=i[e],a=n[r];a!=null&&typeof a=="object"&&(!Array.isArray(a)&&a.type==="ndarray"&&typeof a.value=="number"?n[r]=a.value:ah(a))}}function Da(n,t,e,i,r){var a,s,o;if(t===void 0&&(t={}),e===void 0&&(e={}),i===void 0&&(i="object"),r===void 0&&(r=!1),typeof n=="string"){var l=n,u=void 0;if(l in e)u=e[l];else if(l in an)u=an[l];else if(u=t[l],u==null)throw new M("Unknown "+i+": "+n+`. This may be due to one of the following reasons:
|
|
`+("1. The "+i+" is defined in Python, in which ")+`case it needs to be ported to TensorFlow.js or your JavaScript code.
|
|
`+("2. The custom "+i+" is defined in JavaScript, ")+"but is not registered properly with tf.serialization.registerClass().");return u}else{var c=n;if(c.className==null||c.config==null)throw new M(i+": Improper config format: "+(JSON.stringify(c)+`.
|
|
`)+"'className' and 'config' must set.");var h=c.className,d=void 0,p=void 0;if(h in e?(a=e[h],d=a[0],p=a[1]):h in an?(s=an.className,d=s[0],p=s[1]):h in t&&(o=t[h],d=o[0],p=o[1]),d==null)throw new M("Unknown "+i+": "+h+`. This may be due to one of the following reasons:
|
|
`+("1. The "+i+" is defined in Python, in which ")+`case it needs to be ported to TensorFlow.js or your JavaScript code.
|
|
`+("2. The custom "+i+" is defined in JavaScript, ")+"but is not registered properly with tf.serialization.registerClass().");if(p!=null){for(var f={},m=0,g=Object.keys(an);m<g.length;m++){var v=g[m];f[v]=an[v]}for(var b=0,w=Object.keys(e);b<w.length;b++){var v=w[b];f[v]=e[v]}var S=c.config;S.customObjects=f;for(var L=Vt({},an),x=0,C=Object.keys(e);x<C.length;x++){var v=C[x];an[v]=e[v]}ah(c.config);var R=p(d,c.config,e,r);return an=Vt({},L),R}else{for(var L=Vt({},an),D=0,k=Object.keys(e);D<k.length;D++){var v=k[D];an[v]=e[v]}var R=new d(c.config);return an=Vt({},L),R}}}function qD(n,t){return n<t?-1:n>t?1:0}function no(n,t){return-1*qD(n,t)}function hi(n){if(n==null)return n;for(var t=[],e=0,i=n;e<i.length;e++){var r=i[e];t.indexOf(r)===-1&&t.push(r)}return t}function GD(n){if(n==null)throw new M("Invalid value in obj: "+JSON.stringify(n));for(var t in n)if(n.hasOwnProperty(t))return!1;return!0}function Ur(n,t,e){if(e==null)return;if(n.indexOf(e)<0)throw new M(e+" is not a valid "+t+". Valid values are "+n+" or null/undefined.")}function sh(n,t,e,i){return e===void 0&&(e=0),i===void 0&&(i=Infinity),On(e>=0),On(i>=e),Array.isArray(n)&&n.length>=e&&n.length<=i&&n.every(function(r){return typeof r===t})}function It(n,t){Array.isArray(n)?(y.util.assert(n.length>0,function(){return t+" is unexpectedly an empty array."}),n.forEach(function(e,i){return It(e,"element "+(i+1)+" of "+t)})):y.util.assert(Number.isInteger(n)&&n>0,function(){return"Expected "+t+" to be a positive integer, but got "+(Sv(n)+".")})}function Sv(n){return n===null?"null":Array.isArray(n)?"["+n.map(function(t){return Sv(t)}).join(",")+"]":typeof n=="string"?'"'+n+'"':""+n}function YD(n,t){var e=y.util.now(),i,r=function(){for(var a=[],s=0;s<arguments.length;s++)a[s]=arguments[s];var o=y.util.now();return o-e<t||(e=o,i=n.apply(void 0,a)),i};return r}function Lv(n){return n==="relu"?"relu":n==="linear"?"linear":n==="elu"?"elu":null}function oh(n,t){return y.tidy(function(){return y.sqrt(y.sum(y.mul(n,n),t,!0))})}var ka=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.getConfig=function(){return{}},t}(y.serialization.Serializable),Iv=function(n){Q(t,n);function t(e){var i=n.call(this)||this;return i.defaultMaxValue=2,i.defaultAxis=0,i.maxValue=e.maxValue!=null?e.maxValue:i.defaultMaxValue,i.axis=e.axis!=null?e.axis:i.defaultAxis,i}return t.prototype.apply=function(e){var i=this;return y.tidy(function(){var r=oh(e,i.axis),a=y.clipByValue(r,0,i.maxValue);return y.mul(e,y.div(a,y.add(gt(),r)))})},t.prototype.getConfig=function(){return{maxValue:this.maxValue,axis:this.axis}},t.className="MaxNorm",t}(ka);y.serialization.registerClass(Iv);var Av=function(n){Q(t,n);function t(e){var i=n.call(this)||this;return i.defaultAxis=0,i.axis=e.axis!=null?e.axis:i.defaultAxis,i}return t.prototype.apply=function(e){var i=this;return y.tidy(function(){return y.div(e,y.add(gt(),oh(e,i.axis)))})},t.prototype.getConfig=function(){return{axis:this.axis}},t.className="UnitNorm",t}(ka);y.serialization.registerClass(Av);var Tv=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return y.relu(e)},t.className="NonNeg",t}(ka);y.serialization.registerClass(Tv);var Nv=function(n){Q(t,n);function t(e){var i=n.call(this)||this;return i.defaultMinValue=0,i.defaultMaxValue=1,i.defaultRate=1,i.defaultAxis=0,i.minValue=e.minValue!=null?e.minValue:i.defaultMinValue,i.maxValue=e.maxValue!=null?e.maxValue:i.defaultMaxValue,i.rate=e.rate!=null?e.rate:i.defaultRate,i.axis=e.axis!=null?e.axis:i.defaultAxis,i}return t.prototype.apply=function(e){var i=this;return y.tidy(function(){var r=oh(e,i.axis),a=y.add(y.mul(i.rate,y.clipByValue(r,i.minValue,i.maxValue)),y.mul(1-i.rate,r));return y.mul(e,y.div(a,y.add(gt(),r)))})},t.prototype.getConfig=function(){return{minValue:this.minValue,maxValue:this.maxValue,rate:this.rate,axis:this.axis}},t.className="MinMaxNorm",t}(ka);y.serialization.registerClass(Nv);var xv={maxNorm:"MaxNorm",minMaxNorm:"MinMaxNorm",nonNeg:"NonNeg",unitNorm:"UnitNorm"};function vt(n){return rh(n)}function Cv(n,t){return t===void 0&&(t={}),Da(n,y.serialization.SerializationMap.getMap().classNameMap,t,"constraint")}function yt(n){if(n==null)return null;if(typeof n=="string"){var t=n in xv?xv[n]:n,e={className:t,config:{}};return Cv(e)}else return n instanceof ka?n:Cv(n)}function KD(n){return new Iv(n)}function jD(n){return new Av(n)}function $D(){return new Tv}function XD(n){return new Nv(n)}var JD={__proto__:null,maxNorm:KD,unitNorm:jD,nonNeg:$D,minMaxNorm:XD};var ZD=["channelsFirst","channelsLast"],QD=["valid","same","causal"],ek=["max","avg"],tk=["sum","mul","concat","ave"];var Br=new Map;function ut(n){Ur(ZD,"DataFormat",n)}function Qt(n){Ur(QD,"PaddingMode",n)}function Rv(n){Ur(ek,"PoolMode",n)}var Fa=[],Ov="/";function ji(n,t){Fa.push(n);try{var e=t();return Fa.pop(),e}catch(i){throw Fa.pop(),i}}function nk(){return Fa.length===0?"":Fa.join(Ov)+Ov}function Dv(n){if(!Ev(n))throw new Error("Not a valid tensor name: '"+n+"'");return nk()+n}function kv(n){if(!Ev(n))throw new Error("Not a valid tensor name: '"+n+"'");Br.has(n)||Br.set(n,0);var t=Br.get(n);if(Br.set(n,Br.get(n)+1),t>0){var e=n+"_"+t;return Br.set(e,1),e}else return n}var ik=new RegExp(/^[A-Za-z0-9][-A-Za-z0-9\._\/]*$/);function Ev(n){return!!n.match(ik)}function rk(n){return n===parseInt(n.toString(),10)}function di(n,t,e){t==null&&(t=0),e==null&&(e=n.length);for(var i=1,r=t;r<e;++r)i*=n[r];return i}function Fv(n){return n=Array.isArray(n)?new Float32Array(n):n,y.tensor1d(n)}function zr(n){return y.min(Fv(n)).dataSync()[0]}function pi(n){return y.max(Fv(n)).dataSync()[0]}function pn(n,t){if(t<n)throw new M("end ("+t+") < begin ("+n+") is forbidden.");for(var e=[],i=n;i<t;++i)e.push(i);return e}function Wa(n,t){return n.asType(t)}function Ua(n,t){t===void 0&&(t=-1);var e=n.shape.slice();return t<0&&(t=e.length+t+1),e.splice(t,0,1),n.reshape(e)}function ak(n,t){return y.tidy(function(){if(n.shape.length!==2)throw new M("repeat() expects a rank-2 tensor, but received a "+("rank-"+n.shape.length+" tensor."));var e=Ua(n,1);return lh(e,[1,t,1])})}function sk(n){var t=[di(n.shape)];return n.reshape(t)}function ok(n){if(n.rank<=1)throw new M("batchFlatten requires a minimum rank of 2. Got rank: "+n.rank+".");var t=[n.shape[0],di(n.shape,1)];return n.reshape(t)}function $i(n,t,e){return y.tidy(function(){switch(n.rank){case 1:return y.slice1d(n,t,e);case 2:return y.slice2d(n,[t,0],[e,n.shape[1]]);case 3:return y.slice3d(n,[t,0,0],[e,n.shape[1],n.shape[2]]);case 4:return y.slice4d(n,[t,0,0,0],[e,n.shape[1],n.shape[2],n.shape[3]]);case 5:return y.slice(n,[t,0,0,0,0],[e,n.shape[1],n.shape[2],n.shape[3],n.shape[4]]);case 6:return y.slice(n,[t,0,0,0,0,0],[e,n.shape[1],n.shape[2],n.shape[3],n.shape[4],n.shape[5]]);default:throw new M("sliceAlongFirstAxis() received an unsupported tensor rank: "+(""+n.rank))}})}function uh(n,t,e){return y.tidy(function(){switch(n.rank){case 1:return y.slice1d(n,t,e);case 2:return y.slice2d(n,[0,t],[n.shape[0],e]);case 3:return y.slice3d(n,[0,0,t],[n.shape[0],n.shape[1],e]);case 4:return y.slice4d(n,[0,0,0,t],[n.shape[0],n.shape[1],n.shape[2],e]);default:throw new M("sliceAlongLastAxis() received an unsupported tensor rank: "+(""+n.rank))}})}function io(n,t,e,i){return y.tidy(function(){switch(n.rank){case 1:return y.slice1d(n,t,e);case 2:switch(i){case 1:return $i(n,t,e);case 2:return uh(n,t,e);default:throw new M("The axis is not within the rank of the tensor "+(""+i))}case 3:switch(i){case 1:return $i(n,t,e);case 2:return y.slice3d(n,[0,t,0],[n.shape[0],e,n.shape[2]]);case 3:return uh(n,t,e);default:throw new M("The axis is not within the rank of the tensor "+(""+i))}case 4:switch(i){case 1:return $i(n,t,e);case 2:return y.slice4d(n,[0,t,0,0],[n.shape[0],e,n.shape[2],n.shape[3]]);case 3:return y.slice4d(n,[0,0,t,0],[n.shape[0],n.shape[1],e,n.shape[3]]);case 4:return uh(n,t,e);default:throw new M("The axis is not within the rank of the tensor "+(""+i))}default:throw new M("sliceAlongLastAxis() received an unsupported tensor rank: "+(""+n.rank))}})}function ch(n,t){t===void 0&&(t=-1);var e;return t<0&&(e=n[0].rank,e!==0?t=e:t=0),t===n[0].rank&&(t=-1),y.concat(n,t)}function Wv(n,t){switch(n.rank){case 1:return y.concat1d([n,t]);case 2:return y.concat2d([n,t],0);case 3:return y.concat3d([n,t],0);case 4:return y.concat4d([n,t],0);default:throw new M("concatAlongFirstAxis() received an unsupported "+("tensor rank: "+n.rank))}}function lh(n,t){if(Array.isArray(t)||(t=[t]),n.rank!==t.length)throw new M("The length of input n ("+t.length+") does not match "+("the number of dimensions in input x ("+n.rank+")"));return y.tile(n,t)}function ro(n,t,e,i,r){return t===void 0&&(t=0),e===void 0&&(e=1),y.randomNormal(n,t,e,i,r)}function En(n,t,e,i){if(n.rank<2||t.rank<2)throw new Te("dot requires both inputs to be rank >= 2"+(" but got x shape = "+n.shape+" and y shape = "+t.shape));if(t.rank>=3){var r=n.shape.slice(-1)[0],a=t.shape.slice(-2)[0];if(r!==a)throw new Te("If rank y >= 3, then the second last dim"+(" of y must equal the last dim of x but got x shape = "+n.shape+" and ")+(" y shape = "+t.shape))}if(n.rank===2&&t.rank===2){var s=!1,o=!1;return y.fused.matMul({a:n,b:t,transposeA:s,transposeB:o,bias:i?hh(n.rank,i,dn()):null,activation:e})}else{var l=n.shape.slice(),u=l.pop();n=n.reshape([-1,u]);var c=t.shape.slice(),h=c.pop(),a=c.pop(),d=c.concat([h]),p=Array.from({length:t.rank},function(b,w){return w===0?t.rank-2:w<=t.rank-2?w-1:w});t=t.transpose(p).reshape([a,-1]);var f=l.concat(d),s=!1,o=!1;return y.fused.matMul({a:n,b:t,transposeA:s,transposeB:o,bias:i?hh(n.rank,i,dn()):null,activation:e}).reshape(f)}}function Uv(n,t,e){return y.tidy(function(){return Array.isArray(t)?t=y.tensor1d(t,"int32"):t=t.toInt(),y.gather(n,t,e)})}function Ba(n){return y.mul(n,n)}function hh(n,t,e){var i=t.shape;if(t.rank!==1&&t.rank!==n)throw new M("Unexpected bias dimensions: "+t.rank+("; expected it to be 1 or "+n));if(n===5){if(e==="channelsFirst")return i.length===1?t.reshape([1,i[0],1,1,1]):t.reshape([1,i[3],i[0],i[1],i[2]]);if(e==="channelsLast")return i.length===1?t.reshape([1,1,1,1,i[0]]):t.reshape([1].concat(i))}else if(n===4){if(e==="channelsFirst")return i.length===1?t.reshape([1,i[0],1,1]):t.reshape([1,i[2],i[0],i[1]]);if(e==="channelsLast")return i.length===1?t.reshape([1,1,1,i[0]]):t.reshape([1].concat(i))}else if(n===3){if(e==="channelsFirst")return i.length===1?t.reshape([1,i[0],1]):t.reshape([1,i[1],i[0]]);if(e==="channelsLast")return i.length===1?t.reshape([1,1,i[0]]):t.reshape([1].concat(i))}else if(n<3)return t;throw new M("Unsupported input rank by biasAdd: "+t.rank)}function Dn(n,t,e){return y.tidy(function(){return e==null&&(e=dn()),ut(e),n.add(hh(n.rank,t,e))})}function lk(n,t){if(t===void 0&&(t=1),t!==1)throw new Te("Support for alpha values other than 1 ("+t+") is not implemented yet.");return y.elu(n)}function uk(n){return y.tidy(function(){return y.div(n,y.abs(n).add(1))})}function Bv(n,t,e,i){return y.tidy(function(){return y.dropout(n,t,e,i)})}function ck(n){return y.tidy(function(){var t=y.add(.5,y.mul(.2,n));return y.clipByValue(t,0,1)})}function za(n,t,e){return e===void 0&&(e=!1),e?n():t()}var hk=["fanIn","fanOut","fanAvg"],dk=["normal","uniform","truncatedNormal"];function pk(n){Ur(hk,"FanMode",n)}function fk(n){Ur(dk,"Distribution",n)}var sn=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.fromConfigUsesCustomObjects=function(){return!1},t.prototype.getConfig=function(){return{}},t}(y.serialization.Serializable),zv=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e,i){return y.zeros(e,i)},t.className="Zeros",t}(sn);y.serialization.registerClass(zv);var dh=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e,i){return y.ones(e,i)},t.className="Ones",t}(sn);y.serialization.registerClass(dh);var Pv=function(n){Q(t,n);function t(e){var i=n.call(this)||this;if(typeof e!="object")throw new M("Expected argument of type ConstantConfig but got "+e);if(e.value===void 0)throw new M("config must have value set but got "+e);return i.value=e.value,i}return t.prototype.apply=function(e,i){var r=this;return y.tidy(function(){return y.mul(y.scalar(r.value),y.ones(e,i))})},t.prototype.getConfig=function(){return{value:this.value}},t.className="Constant",t}(sn);y.serialization.registerClass(Pv);var _v=function(n){Q(t,n);function t(e){var i=n.call(this)||this;return i.DEFAULT_MINVAL=-.05,i.DEFAULT_MAXVAL=.05,i.minval=e.minval||i.DEFAULT_MINVAL,i.maxval=e.maxval||i.DEFAULT_MAXVAL,i.seed=e.seed,i}return t.prototype.apply=function(e,i){return y.randomUniform(e,this.minval,this.maxval,i)},t.prototype.getConfig=function(){return{minval:this.minval,maxval:this.maxval,seed:this.seed}},t.className="RandomUniform",t}(sn);y.serialization.registerClass(_v);var Mv=function(n){Q(t,n);function t(e){var i=n.call(this)||this;return i.DEFAULT_MEAN=0,i.DEFAULT_STDDEV=.05,i.mean=e.mean||i.DEFAULT_MEAN,i.stddev=e.stddev||i.DEFAULT_STDDEV,i.seed=e.seed,i}return t.prototype.apply=function(e,i){if(i=i||"float32",i!=="float32"&&i!=="int32")throw new Te("randomNormal does not support dType "+i+".");return ro(e,this.mean,this.stddev,i,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className="RandomNormal",t}(sn);y.serialization.registerClass(Mv);var Hv=function(n){Q(t,n);function t(e){var i=n.call(this)||this;return i.DEFAULT_MEAN=0,i.DEFAULT_STDDEV=.05,i.mean=e.mean||i.DEFAULT_MEAN,i.stddev=e.stddev||i.DEFAULT_STDDEV,i.seed=e.seed,i}return t.prototype.apply=function(e,i){if(i=i||"float32",i!=="float32"&&i!=="int32")throw new Te("truncatedNormal does not support dType "+i+".");return y.truncatedNormal(e,this.mean,this.stddev,i,this.seed)},t.prototype.getConfig=function(){return{mean:this.mean,stddev:this.stddev,seed:this.seed}},t.className="TruncatedNormal",t}(sn);y.serialization.registerClass(Hv);var Vv=function(n){Q(t,n);function t(e){var i=n.call(this)||this;return i.gain=e.gain!=null?e.gain:1,i}return t.prototype.apply=function(e,i){var r=this;return y.tidy(function(){if(e.length!==2||e[0]!==e[1])throw new M("Identity matrix initializer can only be used for 2D square matrices.");return y.mul(r.gain,y.eye(e[0]))})},t.prototype.getConfig=function(){return{gain:this.gain}},t.className="Identity",t}(sn);y.serialization.registerClass(Vv);function mk(n,t){t===void 0&&(t="channelsLast");var e,i;if(ut(t),n.length===2)e=n[0],i=n[1];else if([3,4,5].indexOf(n.length)!==-1){if(t==="channelsFirst"){var r=di(n,2);e=n[1]*r,i=n[0]*r}else if(t==="channelsLast"){var r=di(n,0,n.length-2);e=n[n.length-2]*r,i=n[n.length-1]*r}}else{var a=di(n);e=Math.sqrt(a),i=Math.sqrt(a)}return[e,i]}var qt=function(n){Q(t,n);function t(e){var i=n.call(this)||this;if(e.scale<0)throw new M("scale must be a positive float. Got: "+e.scale);return i.scale=e.scale==null?1:e.scale,i.mode=e.mode==null?"fanIn":e.mode,pk(i.mode),i.distribution=e.distribution==null?"normal":e.distribution,fk(i.distribution),i.seed=e.seed,i}return t.prototype.apply=function(e,i){var r=mk(e),a=r[0],s=r[1],o=this.scale;if(this.mode==="fanIn"?o/=Math.max(1,a):this.mode==="fanOut"?o/=Math.max(1,s):o/=Math.max(1,(a+s)/2),this.distribution==="normal"){var l=Math.sqrt(o);if(i=i||"float32",i!=="float32"&&i!=="int32")throw new Te(this.getClassName()+" does not support dType "+i+".");return y.truncatedNormal(e,0,l,i,this.seed)}else{var u=Math.sqrt(3*o);return y.randomUniform(e,-u,u,i)}},t.prototype.getConfig=function(){return{scale:this.scale,mode:this.mode,distribution:this.distribution,seed:this.seed}},t.className="VarianceScaling",t}(sn);y.serialization.registerClass(qt);var ph=function(n){Q(t,n);function t(e){return n.call(this,{scale:1,mode:"fanAvg",distribution:"uniform",seed:e==null?null:e.seed})||this}return t.prototype.getClassName=function(){return qt.className},t.className="GlorotUniform",t}(qt);y.serialization.registerClass(ph);var fh=function(n){Q(t,n);function t(e){return n.call(this,{scale:1,mode:"fanAvg",distribution:"normal",seed:e==null?null:e.seed})||this}return t.prototype.getClassName=function(){return qt.className},t.className="GlorotNormal",t}(qt);y.serialization.registerClass(fh);var mh=function(n){Q(t,n);function t(e){return n.call(this,{scale:2,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})||this}return t.prototype.getClassName=function(){return qt.className},t.className="HeNormal",t}(qt);y.serialization.registerClass(mh);var gh=function(n){Q(t,n);function t(e){return n.call(this,{scale:2,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})||this}return t.prototype.getClassName=function(){return qt.className},t.className="HeUniform",t}(qt);y.serialization.registerClass(gh);var vh=function(n){Q(t,n);function t(e){return n.call(this,{scale:1,mode:"fanIn",distribution:"normal",seed:e==null?null:e.seed})||this}return t.prototype.getClassName=function(){return qt.className},t.className="LeCunNormal",t}(qt);y.serialization.registerClass(vh);var yh=function(n){Q(t,n);function t(e){return n.call(this,{scale:1,mode:"fanIn",distribution:"uniform",seed:e==null?null:e.seed})||this}return t.prototype.getClassName=function(){return qt.className},t.className="LeCunNormal",t}(qt);y.serialization.registerClass(yh);var qv=function(n){Q(t,n);function t(e){var i=n.call(this)||this;if(i.DEFAULT_GAIN=1,i.gain=e.gain==null?i.DEFAULT_GAIN:e.gain,i.seed=e.seed,i.seed!=null)throw new Te("Random seed is not implemented for Orthogonal Initializer yet.");return i}return t.prototype.apply=function(e,i){var r=this;return y.tidy(function(){if(e.length<2)throw new Te("Shape must be at least 2D.");e[0]*e[1]>2e3&&console.warn("Orthogonal initializer is being called on a matrix with more "+("than 2000 ("+e[0]*e[1]+") elements: ")+"Slowness may result.");var a=e[0]>e[1]?[e[1],e[0]]:e,s=ro(a,0,1,"float32"),o=y.linalg.gramSchmidt(s);return e[0]>e[1]&&(o=o.transpose()),y.mul(r.gain,o)})},t.prototype.getConfig=function(){return{gain:this.gain,seed:this.seed}},t.className="Orthogonal",t}(sn);y.serialization.registerClass(qv);var Gv={constant:"Constant",glorotNormal:"GlorotNormal",glorotUniform:"GlorotUniform",heNormal:"HeNormal",heUniform:"HeUniform",identity:"Identity",leCunNormal:"LeCunNormal",leCunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function Yv(n,t){return t===void 0&&(t={}),Da(n,y.serialization.SerializationMap.getMap().classNameMap,t,"initializer")}function at(n){return rh(n)}function et(n){if(typeof n=="string"){var t=n in Gv?Gv[n]:n;if(t==="GlorotNormal")return new fh;if(t==="GlorotUniform")return new ph;if(t==="HeNormal")return new mh;if(t==="HeUniform")return new gh;if(t==="LeCunNormal")return new vh;if(t==="LeCunUniform")return new yh;var e={};return e.className=t,e.config={},Yv(e)}else return n instanceof sn?n:Yv(n)}function gk(){return new zv}function vk(){return new dh}function yk(n){return new Pv(n)}function bk(n){return new _v(n)}function wk(n){return new Mv(n)}function Sk(n){return new Hv(n)}function Lk(n){return new Vv(n)}function Ik(n){return new qt(n)}function Ak(n){return new ph(n)}function Tk(n){return new fh(n)}function Nk(n){return new mh(n)}function xk(n){return new gh(n)}function Ck(n){return new vh(n)}function Rk(n){return new yh(n)}function Ok(n){return new qv(n)}var Ek={__proto__:null,zeros:gk,ones:vk,constant:yk,randomUniform:bk,randomNormal:wk,truncatedNormal:Sk,identity:Lk,varianceScaling:Ik,glorotUniform:Ak,glorotNormal:Tk,heNormal:Nk,heUniform:xk,leCunNormal:Ck,leCunUniform:Rk,orthogonal:Ok};var Dk=0;function Kv(){return Dk++}var ao={};function so(n){return n===void 0&&(n=""),n in ao||(ao[n]=0),ao[n]+=1,n+ao[n].toString()}function bh(n){return Array.isArray(n)&&Array.isArray(n[0])}function oo(n){return n.length===0?[]:Array.isArray(n[0])?n:[n]}function xe(n){var t;if(Array.isArray(n)){if(n.length!==1)throw new M("Expected Tensor length to be 1; got "+n.length);t=n[0]}else t=n;return t}function Ye(n){if(Array.isArray(n)&&Array.isArray(n[0])){if(n.length===1)return n=n,n[0];throw new M("Expected exactly 1 Shape; got "+n.length)}else return n}function lo(n){for(var t=0,e=0,i=n;e<i.length;e++){var r=i[e];r.shape.length===0?t+=1:t+=r.shape.reduce(function(a,s){return a*s})}return t}var jv="Variable",$v=function(){function n(t,e,i,r,a){e===void 0&&(e="float32"),i===void 0&&(i=jv),r===void 0&&(r=!0),a===void 0&&(a=null),this.dtype=e??"float32",this.shape=t.shape,this.id=Kv(),i=i??jv,this.originalName=Dv(i),this.name=kv(this.originalName),this.trainable_=r,this.constraint=a,this.val=y.variable(t,this.trainable_,this.name,this.dtype)}return n.prototype.read=function(){return this.assertNotDisposed(),this.val},n.prototype.write=function(t){return this.assertNotDisposed(),kk(this.val,t),this.val.id!==t.id&&(this.val.assign(t),this.constraint!=null&&this.val.assign(this.constraint.apply(this.val))),this},n.prototype.dispose=function(){this.assertNotDisposed(),this.val.dispose()},n.prototype.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error("LayersVariable "+this.name+" is already disposed.")},Object.defineProperty(n.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this.trainable_=t,this.val.trainable=t},enumerable:!0,configurable:!0}),n}();function kk(n,t){if(n.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(n.shape)+" vs. "+JSON.stringify(t.shape))}function wh(n){return n.map(function(t){return t.read()})}function Sh(n){n.forEach(function(t){var e=t[0];e.write(t[1])})}var At=function(){function n(t){this.dtype=t.dtype,this.shape=t.shape,t.shape!=null?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}}return n}(),fn=function(){function n(t,e,i,r,a,s,o){this.dtype=t,this.shape=e,this.sourceLayer=i,this.inputs=r,this.callArgs=a,this.outputTensorIndex=o,this.id=Kv(),s!=null&&(this.originalName=Dv(s),this.name=kv(this.originalName)),this.rank=e.length}return n}(),Fk=0,uo=function(){function n(t,e){this.callArgs=e,this.id=Fk++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(var i=0,r=t.inboundLayers;i<r.length;i++){var a=r[i];a!=null&&a.outboundNodes.push(this)}t.outboundLayer.inboundNodes.push(this)}return n.prototype.getConfig=function(){for(var t=[],e=0,i=this.inboundLayers;e<i.length;e++){var r=i[e];r!=null?t.push(r.name):t.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},n}(),Wk=0,De=function(n){Q(t,n);function t(e){e===void 0&&(e={});var i=n.call(this)||this;i._callHook=null,i._addedWeightNames=[],i._stateful=!1,i.id=Wk++,i.activityRegularizer=null,i.inputSpec=null,i.supportsMasking=!1,i._trainableWeights=[],i._nonTrainableWeights=[],i._losses=[],i._updates=[],i._built=!1,i.inboundNodes=[],i.outboundNodes=[];var r=e.name;if(!r){var a=i.getClassName();r=Yn(a)+"_"+so(a)}if(i.name=r,i.trainable_=e.trainable==null?!0:e.trainable,e.inputShape!=null||e.batchInputShape!=null){var s=void 0;if(e.batchInputShape!=null)s=e.batchInputShape;else if(e.inputShape!=null){var o=null;e.batchSize!=null&&(o=e.batchSize),s=[o].concat(e.inputShape)}i.batchInputShape=s;var l=e.dtype;l==null&&(l=e.inputDType),l==null&&(l="float32"),i.dtype=l}return e.weights!=null?i.initialWeights=e.weights:i.initialWeights=null,i._refCount=null,i.fastWeightInitDuringBuild=!1,i}return t.nodeKey=function(e,i){return e.name+"_ib-"+i.toString()},t.prototype.getNodeAtIndex=function(e,i){if(this.inboundNodes.length===0)throw new Rn("The layer has never been called "+("and thus has no defined "+i+"."));if(this.inboundNodes.length<=e)throw new M("Asked to get "+i+" at node "+e+", "+("but the layer has only "+this.inboundNodes.length+" inbound nodes."));return this.inboundNodes[e]},t.prototype.getInputAt=function(e){return zt(this.getNodeAtIndex(e,"input").inputTensors)},t.prototype.getOutputAt=function(e){return zt(this.getNodeAtIndex(e,"output").outputTensors)},Object.defineProperty(t.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new ci("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(this.inboundNodes.length===0)throw new ci("Layer "+this.name+" is not connected, no input to return.");return zt(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"output",{get:function(){if(this.inboundNodes.length===0)throw new ci("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new ci("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return zt(this.getNodeAtIndex(0,"output").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"losses",{get:function(){return this._losses},enumerable:!0,configurable:!0}),t.prototype.calculateLosses=function(){return this.losses.map(function(e){return e()})},Object.defineProperty(t.prototype,"updates",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"built",{get:function(){return this._built},set:function(e){this._built=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"trainable",{get:function(){return this.trainable_},set:function(e){this._trainableWeights.forEach(function(i){return i.trainable=e}),this.trainable_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable_?this._trainableWeights.filter(function(e){return e.trainable}):[]},set:function(e){this._trainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this._trainableWeights.filter(function(e){return!e.trainable}).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"stateful",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")},t.prototype.assertInputCompatibility=function(e){if(e=Xe(e),this.inputSpec==null||this.inputSpec.length===0)return;var i=Xe(this.inputSpec);if(e.length!==i.length)throw new M("Layer "+this.name+" expects "+i.length+" inputs, "+("but it received "+e.length+" input tensors. ")+("Input received: "+e));for(var r=0;r<e.length;r++){var a=e[r],s=i[r];if(s==null)continue;var o=a.rank;if(s.ndim!=null&&o!==s.ndim)throw new M("Input "+r+" is incompatible with layer "+this.name+": "+("expected ndim="+s.ndim+", found ndim="+o));if(s.maxNDim!=null&&o>s.maxNDim)throw new M("Input "+r+" is incompatible with layer "+this.name+(": expected max_ndim="+s.maxNDim+", found ndim="+o));if(s.minNDim!=null&&o<s.minNDim)throw new M("Input "+r+" is incompatible with layer "+this.name+(": expected min_ndim="+s.minNDim+", found ndim="+o+"."));if(s.dtype!=null&&a.dtype!==s.dtype)throw new M("Input "+r+" is incompatible with layer "+this.name+" "+(": expected dtype="+s.dtype+", found dtype="+a.dtype+"."));if(s.axes){var l=a.shape;for(var u in s.axes){var c=Number(u),h=s.axes[u],d=c>=0?l[c]:l[l.length+c];if(h!=null&&[h,null].indexOf(d)===-1)throw new M("Input "+r+" is incompatible with layer "+(this.name+": expected axis "+c+" of input shape to ")+("have value "+h+" but got shape "+l+"."))}}if(s.shape!=null)for(var p=0;p<s.shape.length;++p){var f=s.shape[p],m=a.shape[p];if(f!=null&&m!=null&&f!==m)throw new M("Input "+r+" is incompatible with layer "+(this.name+": expected shape="+s.shape+", ")+("found shape="+a.shape+"."))}}},t.prototype.call=function(e,i){return e},t.prototype.invokeCallHook=function(e,i){this._callHook!=null&&this._callHook(e,i)},t.prototype.setCallHook=function(e){this._callHook=e},t.prototype.clearCallHook=function(){this._callHook=null},t.prototype.apply=function(e,i){var r=this;i=i||{},this.assertNotDisposed();for(var a=Xe(e),s=!0,o=0,l=a;o<l.length;o++){var u=l[o];if(!(u instanceof fn)){s=!1;break}}for(var c=!0,h=0,d=a;h<d.length;h++){var u=d[h];if(u instanceof fn){c=!1;break}}if(s===c)throw new M("Arguments to apply() must be all SymbolicTensors or all Tensors");return ji(this.name,function(){if(!r.built){r.assertInputCompatibility(e);for(var p=[],f=0,m=Xe(e);f<m.length;f++){var g=m[f];p.push(g.shape)}r.build(zt(p)),r.built=!0,r.initialWeights&&r.setWeights(r.initialWeights),r._refCount===null&&c&&(r._refCount=1)}if(r.assertInputCompatibility(e),c){for(var v=r.call(e,i),b=Xe(v),w=[],S=0,L=b;S<L.length;S++){var x=L[S];a.indexOf(x)!==-1&&(x=x.clone()),w.push(x)}if(v=zt(w),r.activityRegularizer!=null)throw new Te("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return v}else{var C=Uk(e),R=r.computeOutputShape(C),v=void 0,D=Bk(e);if(r.warnOnIncompatibleInputShape(Array.isArray(e)?C[0]:C),R!=null&&R.length>0&&Array.isArray(R[0])?v=R.map(function(W,F){return new fn(D,W,r,Xe(e),i,r.name,F)}):v=new fn(D,R,r,Xe(e),i,r.name),r.addInboundNode(e,v,null,null,C,R,i),r._refCount++,r.activityRegularizer!=null)throw new Te("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return v}})},t.prototype.warnOnIncompatibleInputShape=function(e){if(this.batchInputShape==null)return;if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+(JSON.stringify(e)+") does not match that of the ")+("batchInputShape ("+JSON.stringify(this.batchInputShape)+") ")+("of the layer "+this.name));else{var i=!1;this.batchInputShape.forEach(function(r,a){r!=null&&e[a]!=null&&e[a]!==r&&(i=!0)}),i&&console.warn("The shape of the input tensor "+("("+JSON.stringify(e)+") does not ")+("match the expectation of layer "+this.name+": ")+(""+JSON.stringify(this.batchInputShape)))}},Object.defineProperty(t.prototype,"outputShape",{get:function(){if(this.inboundNodes==null||this.inboundNodes.length===0)throw new ci("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var e=[],i=0,r=this.inboundNodes;i<r.length;i++){var a=r[i],s=JSON.stringify(a.outputShapes);e.indexOf(s)===-1&&e.push(s)}if(e.length===1){var o=this.inboundNodes[0].outputShapes;return Array.isArray(o)&&Array.isArray(o[0])&&o.length===1?o[0]:o}else throw new ci("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "output shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),t.prototype.countParams=function(){if(!this.built)throw new Rn("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return lo(this.weights)},t.prototype.build=function(e){this.built=!0},t.prototype.getWeights=function(e){return e===void 0&&(e=!1),wh(e?this.trainableWeights:this.weights)},t.prototype.setWeights=function(e){var i=this;y.tidy(function(){var r=i.weights;if(r.length!==e.length)throw new M('You called setWeights(weights) on layer "'+i.name+'" '+("with a weight list of length "+e.length+", ")+("but the layer was expecting "+r.length+" weights. ")+("Provided weights: "+e+"..."));if(r.length===0)return;for(var a=[],s=wh(r),o=0;o<s.length;++o){var l=s[o],u=r[o],c=e[o];if(!y.util.arraysEqual(l.shape,c.shape))throw new M("Layer weight shape "+l.shape+" "+("not compatible with provided weight shape "+c.shape));a.push([u,c])}Sh(a)})},t.prototype.addWeight=function(e,i,r,a,s,o,l){if(this._addedWeightNames.indexOf(e)!==-1)throw new M("Duplicate weight name "+e+" for layer "+this.name);this._addedWeightNames.push(e),r==null&&(r="float32"),this.fastWeightInitDuringBuild&&(a=et("zeros"));var u=a.apply(i,r),c=new $v(u,r,e,o,l);return u.dispose(),s!=null&&this.addLoss(function(){return s.apply(c.read())}),o==null&&(o=!0),o?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c},t.prototype.setFastWeightInitDuringBuild=function(e){this.fastWeightInitDuringBuild=e},t.prototype.addLoss=function(e){var i;if(e==null||Array.isArray(e)&&e.length===0)return;e=Xe(e),this._losses!==void 0&&this._losses!==null&&(i=this.losses).push.apply(i,e)},t.prototype.computeOutputShape=function(e){return e},t.prototype.computeMask=function(e,i){var r=this;if(!this.supportsMasking){if(i!=null)if(Array.isArray(i))i.forEach(function(a){if(a!=null)throw new TypeError("Layer "+r.name+" does not support masking, but was passed an inputMask.")});else throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");return null}return i},t.prototype.addInboundNode=function(e,i,r,a,s,o,l){l===void 0&&(l=null);var u=Xe(e);i=Xe(i),r=Xe(r),a=Xe(a),s=oo(s),o=oo(o);for(var c=[],h=[],d=[],p=0,f=u;p<f.length;p++){var m=f[p];c.push(m.sourceLayer),h.push(m.nodeIndex),d.push(m.tensorIndex)}new uo({outboundLayer:this,inboundLayers:c,nodeIndices:h,tensorIndices:d,inputTensors:u,outputTensors:i,inputMasks:r,outputMasks:a,inputShapes:s,outputShapes:o},l);for(var g=0;g<i.length;g++)i[g].sourceLayer=this,i[g].nodeIndex=this.inboundNodes.length-1,i[g].tensorIndex=g},t.prototype.getConfig=function(){var e={name:this.name,trainable:this.trainable};return this.batchInputShape!=null&&(e.batchInputShape=this.batchInputShape),this.dtype!=null&&(e.dtype=this.dtype),e},t.prototype.disposeWeights=function(){return this.weights.forEach(function(e){return e.dispose()}),this.weights.length},t.prototype.assertNotDisposed=function(){if(this._refCount===0)throw new Error("Layer '"+this.name+"' is already disposed.")},t.prototype.dispose=function(){if(!this.built)throw new Error("Cannot dispose Layer "+this.name+" because it has not been built yet.");if(this._refCount===null)throw new Error("Cannot dispose Layer "+this.name+" because it has not been used yet.");this.assertNotDisposed();var e=0;return--this._refCount===0&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}},t}(y.serialization.Serializable);function Uk(n){n=Xe(n);for(var t=[],e=0,i=n;e<i.length;e++){var r=i[e];t.push(r.shape)}return zt(t)}function Bk(n){return"float32"}function Xv(n,t,e){if((t==null||e!=null&&e>0)&&(t=n.sourceLayer,e=n.nodeIndex),t.inboundNodes.length===0)return[n];var i=t.inboundNodes[e];if(i.inboundLayers.length===0)return i.inputTensors;for(var r=[],a=0;a<i.inboundLayers.length;a++)for(var s=i.inputTensors[a],o=i.inboundLayers[a],l=i.nodeIndices[a],u=Xv(s,o,l),c=0,h=u;c<h.length;c++){var d=h[c];r.indexOf(d)===-1&&r.push(d)}return r}var Pa=function(n){Q(t,n);function t(e){var i=n.call(this,{dtype:e.dtype,name:e.name!=null?e.name:so("input").toString()})||this;if(e.batchSize==null&&(e.batchSize=null),e.sparse==null&&(e.sparse=!1),i.trainable=!1,i.built=!0,i.sparse=e.sparse,e.inputShape!=null&&e.batchInputShape!=null)throw new M("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=e.batchInputShape;if(r==null){if(e.inputShape==null)throw new M("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[e.batchSize].concat(e.inputShape)}else if(e.batchSize!=null)throw new M("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var a=e.dtype||"float32";i.batchInputShape=r,i.dtype=a,i.inputSpec=[{shape:r}];var s=new fn(i.dtype,i.batchInputShape,i,[],{},i.name);return s.nodeIndex=0,s.tensorIndex=0,new uo({outboundLayer:i,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[s],outputTensors:[s],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),i}return t.prototype.apply=function(e,i){throw new M("Cannot pass any input to an "+("InputLayer's apply() method. InputLayer name: "+this.name))},t.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},t.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},t.className="InputLayer",t}(De);y.serialization.registerClass(Pa);function Jv(n){if(n.batchShape==null&&n.shape==null)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(n.batchShape!=null&&n.shape!=null)throw new M("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=n.batchShape;n.shape!=null&&t==null&&(t=[null].concat(n.shape));var e=n.dtype;e==null&&(e="float32");var i=new Pa({batchInputShape:t,name:n.name,dtype:e,sparse:n.sparse}),r=i.inboundNodes[0].outputTensors;return r[0]}function fi(n){return Le(this,void 0,void 0,function(){var t,e,i,r,a,s,o,l;return ye(this,function(u){switch(u.label){case 0:if(n==null)return[2];t=[],e=[],i=[];for(r in n)a=n[r],typeof a!="number"&&(s=a,t.push(s.data()),e.push(r),i.push(s));return t.length>0?[4,Promise.all(t)]:[3,2];case 1:for(o=u.sent(),l=0;l<o.length;++l)n[e[l]]=o[l][0];y.dispose(i),u.label=2;case 2:return[2]}})})}function Zv(n){if(n==null)return;for(var t in n){var e=n[t];typeof e!="number"&&e.dispose()}}var Qv;(function(n){n[n.SILENT=0]="SILENT",n[n.VERBOSE=1]="VERBOSE"})(Qv||(Qv={}));var zk=125,Pr=function(){function n(){this.validationData=null}return n.prototype.setParams=function(t){this.params=t},n.prototype.onEpochBegin=function(t,e){return Le(this,void 0,void 0,function(){return ye(this,function(i){return[2]})})},n.prototype.onEpochEnd=function(t,e){return Le(this,void 0,void 0,function(){return ye(this,function(i){return[2]})})},n.prototype.onBatchBegin=function(t,e){return Le(this,void 0,void 0,function(){return ye(this,function(i){return[2]})})},n.prototype.onBatchEnd=function(t,e){return Le(this,void 0,void 0,function(){return ye(this,function(i){return[2]})})},n.prototype.onTrainBegin=function(t){return Le(this,void 0,void 0,function(){return ye(this,function(e){return[2]})})},n.prototype.onTrainEnd=function(t){return Le(this,void 0,void 0,function(){return ye(this,function(e){return[2]})})},n.prototype.setModel=function(t){},n}(),ey=function(){function n(t,e){e===void 0&&(e=10),t==null&&(t=[]),this.callbacks=t,this.queueLength=e}return n.prototype.append=function(t){this.callbacks.push(t)},n.prototype.setParams=function(t){for(var e=0,i=this.callbacks;e<i.length;e++){var r=i[e];r.setParams(t)}},n.prototype.setModel=function(t){for(var e=0,i=this.callbacks;e<i.length;e++){var r=i[e];r.setModel(t)}},n.prototype.onEpochBegin=function(t,e){return Le(this,void 0,void 0,function(){var i,r,a;return ye(this,function(s){switch(s.label){case 0:e==null&&(e={}),i=0,r=this.callbacks,s.label=1;case 1:return i<r.length?(a=r[i],[4,a.onEpochBegin(t,e)]):[3,4];case 2:s.sent(),s.label=3;case 3:return i++,[3,1];case 4:return[2]}})})},n.prototype.onEpochEnd=function(t,e){return Le(this,void 0,void 0,function(){var i,r,a;return ye(this,function(s){switch(s.label){case 0:e==null&&(e={}),i=0,r=this.callbacks,s.label=1;case 1:return i<r.length?(a=r[i],[4,a.onEpochEnd(t,e)]):[3,4];case 2:s.sent(),s.label=3;case 3:return i++,[3,1];case 4:return[2]}})})},n.prototype.onBatchBegin=function(t,e){return Le(this,void 0,void 0,function(){var i,r,a;return ye(this,function(s){switch(s.label){case 0:e==null&&(e={}),i=0,r=this.callbacks,s.label=1;case 1:return i<r.length?(a=r[i],[4,a.onBatchBegin(t,e)]):[3,4];case 2:s.sent(),s.label=3;case 3:return i++,[3,1];case 4:return[2]}})})},n.prototype.onBatchEnd=function(t,e){return Le(this,void 0,void 0,function(){var i,r,a;return ye(this,function(s){switch(s.label){case 0:e==null&&(e={}),i=0,r=this.callbacks,s.label=1;case 1:return i<r.length?(a=r[i],[4,a.onBatchEnd(t,e)]):[3,4];case 2:s.sent(),s.label=3;case 3:return i++,[3,1];case 4:return[2]}})})},n.prototype.onTrainBegin=function(t){return Le(this,void 0,void 0,function(){var e,i,r;return ye(this,function(a){switch(a.label){case 0:t==null&&(t={}),e=0,i=this.callbacks,a.label=1;case 1:return e<i.length?(r=i[e],[4,r.onTrainBegin(t)]):[3,4];case 2:a.sent(),a.label=3;case 3:return e++,[3,1];case 4:return[2]}})})},n.prototype.onTrainEnd=function(t){return Le(this,void 0,void 0,function(){var e,i,r;return ye(this,function(a){switch(a.label){case 0:t==null&&(t={}),e=0,i=this.callbacks,a.label=1;case 1:return e<i.length?(r=i[e],[4,r.onTrainEnd(t)]):[3,4];case 2:a.sent(),a.label=3;case 3:return e++,[3,1];case 4:return[2]}})})},n}(),Pk=function(n){Q(t,n);function t(){return n.call(this)||this}return t.prototype.onEpochBegin=function(e){return Le(this,void 0,void 0,function(){return ye(this,function(i){return this.seen=0,this.totals={},[2]})})},t.prototype.onBatchEnd=function(e,i){return Le(this,void 0,void 0,function(){var r,a,s,o,l=this;return ye(this,function(u){i==null&&(i={}),r=i.size==null?0:i.size,this.seen+=r,a=function(c){var h=i[c];if(typeof h=="number")s.totals.hasOwnProperty(c)||(s.totals[c]=0),s.totals[c]=s.totals[c]+h*r;else{var d=void 0;c in s.totals?d=s.totals[c]:s.totals[c]=0;var p=y.tidy(function(){return y.add(l.totals[c],y.mul(h,r))});s.totals[c]=p,d!=null&&d.dispose()}},s=this;for(o in i)a(o);return[2]})})},t.prototype.onEpochEnd=function(e,i){return Le(this,void 0,void 0,function(){var r,a,s,o,l,u=this;return ye(this,function(c){if(i!=null)for(r=function(h){if(a.totals[h]==null)return"continue";typeof a.totals[h]=="number"?i[h]=a.totals[h]/a.seen:y.tidy(function(){var d=y.mul(y.div(1,u.seen),u.totals[h]);i[h]=d,u.totals[h].dispose(),y.keep(i[h])})},a=this,s=0,o=this.params.metrics;s<o.length;s++)l=o[s],r(l);return[2]})})},t}(Pr),ty=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.onTrainBegin=function(e){return Le(this,void 0,void 0,function(){return ye(this,function(i){return this.epoch=[],this.history={},[2]})})},t.prototype.onEpochEnd=function(e,i){return Le(this,void 0,void 0,function(){var r;return ye(this,function(a){i==null&&(i={}),this.epoch.push(e);for(r in i)this.history[r]==null&&(this.history[r]=[]),this.history[r].push(i[r]);return[2]})})},t.prototype.syncData=function(){return Le(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u,c,h;return ye(this,function(d){switch(d.label){case 0:e=[],i=[],r=[];for(a in this.history)for(s=this.history[a],o=0;o<s.length;++o)typeof s[o]!="number"&&(l=s[o],e.push(l.data()),i.push(a),r.push(o));return[4,Promise.all(e)];case 1:for(u=d.sent(),c=0;c<u.length;++c)h=this.history[i[c]][r[c]],h.dispose(),this.history[i[c]][r[c]]=u[c][0];return[2]}})})},t}(Pr),ny=function(n){Q(t,n);function t(e,i){var r=n.call(this)||this;if(r.currentEpoch=0,r.yieldEvery=i||"auto",r.yieldEvery==="auto"&&(r.yieldEvery=zk),r.yieldEvery==="never"&&e.onYield!=null)throw new Error("yieldEvery is `never` but you provided an `onYield` callback. Either change `yieldEvery` or remove the callback");return y.util.isNumber(r.yieldEvery)&&(r.maybeWait=YD(r.maybeWait.bind(r),r.yieldEvery)),r.trainBegin=e.onTrainBegin,r.trainEnd=e.onTrainEnd,r.epochBegin=e.onEpochBegin,r.epochEnd=e.onEpochEnd,r.batchBegin=e.onBatchBegin,r.batchEnd=e.onBatchEnd,r.yield=e.onYield,r}return t.prototype.maybeWait=function(e,i,r){return Le(this,void 0,void 0,function(){var a;return ye(this,function(s){switch(s.label){case 0:return a=[],this.yield!=null?[4,fi(r)]:[3,2];case 1:s.sent(),a.push(this.yield(e,i,r)),s.label=2;case 2:return a.push(y.nextFrame()),[4,Promise.all(a)];case 3:return s.sent(),[2]}})})},t.prototype.onEpochBegin=function(e,i){return Le(this,void 0,void 0,function(){return ye(this,function(r){switch(r.label){case 0:return this.currentEpoch=e,this.epochBegin!=null?[4,fi(i)]:[3,3];case 1:return r.sent(),[4,this.epochBegin(e,i)];case 2:r.sent(),r.label=3;case 3:return[2]}})})},t.prototype.onEpochEnd=function(e,i){return Le(this,void 0,void 0,function(){var r;return ye(this,function(a){switch(a.label){case 0:return r=[],this.epochEnd!=null?[4,fi(i)]:[3,2];case 1:a.sent(),r.push(this.epochEnd(e,i)),a.label=2;case 2:return this.yieldEvery==="epoch"&&r.push(y.nextFrame()),[4,Promise.all(r)];case 3:return a.sent(),[2]}})})},t.prototype.onBatchBegin=function(e,i){return Le(this,void 0,void 0,function(){return ye(this,function(r){switch(r.label){case 0:return this.batchBegin!=null?[4,fi(i)]:[3,3];case 1:return r.sent(),[4,this.batchBegin(e,i)];case 2:r.sent(),r.label=3;case 3:return[2]}})})},t.prototype.onBatchEnd=function(e,i){return Le(this,void 0,void 0,function(){var r;return ye(this,function(a){switch(a.label){case 0:return r=[],this.batchEnd!=null?[4,fi(i)]:[3,2];case 1:a.sent(),r.push(this.batchEnd(e,i)),a.label=2;case 2:return this.yieldEvery==="batch"?r.push(y.nextFrame()):y.util.isNumber(this.yieldEvery)&&r.push(this.maybeWait(this.currentEpoch,e,i)),[4,Promise.all(r)];case 3:return a.sent(),[2]}})})},t.prototype.onTrainBegin=function(e){return Le(this,void 0,void 0,function(){return ye(this,function(i){switch(i.label){case 0:return this.trainBegin!=null?[4,fi(e)]:[3,3];case 1:return i.sent(),[4,this.trainBegin(e)];case 2:i.sent(),i.label=3;case 3:return[2]}})})},t.prototype.onTrainEnd=function(e){return Le(this,void 0,void 0,function(){return ye(this,function(i){switch(i.label){case 0:return this.trainEnd!=null?[4,fi(e)]:[3,3];case 1:return i.sent(),[4,this.trainEnd(e)];case 2:i.sent(),i.label=3;case 3:return[2]}})})},t}(Pr);function iy(n,t){if(n==null&&(n={}),n instanceof Pr)return[n];if(Array.isArray(n)&&n[0]instanceof Pr)return n;var e=Xe(n);return e.map(function(i){return new ny(i,t)})}var ry=function(){function n(){}return n.registerCallbackConstructor=function(t,e){y.util.assert(t>=0&&Number.isInteger(t),function(){return"Verbosity level is expected to be an integer >= 0, "+("but got "+t)}),n.checkForDuplicate(e),n.constructors[t]==null&&(n.constructors[t]=[]),n.constructors[t].push(e)},n.checkForDuplicate=function(t){for(var e in n.constructors){var i=n.constructors[+e];i.forEach(function(r){if(r===t)throw new M("Duplicate callback constructor.")})}},n.clear=function(){n.constructors={}},n.createCallbacks=function(t){var e=[];for(var i in n.constructors){var r=+i;t>=r&&e.push.apply(e,n.constructors[r])}return e.map(function(a){return new a})},n.constructors={},n}();function ay(n,t,e,i,r,a,s,o,l){var u=new ty,c=[new Pk].concat(ry.createCallbacks(t));n!=null&&c.push.apply(c,n),c.push(u);var h=new ey(c);return h.setParams({epochs:e,initialEpoch:i,samples:r,steps:a,batchSize:s,verbose:t,doValidation:o,metrics:l}),{callbackList:h,history:u}}function mn(n,t,e){return t===void 0&&(t={}),e===void 0&&(e=!1),Da(n,y.serialization.SerializationMap.getMap().classNameMap,t,"layer",e)}function co(n,t){return y.tidy(function(){n.dtype!=="float32"&&(n=n.asType("float32"));var e=y.sum(Ba(n),t,!0),i=y.fill(e.shape,gt()),r=y.sqrt(y.maximum(e,i));return y.div(n,r)})}function Xi(n,t){return y.tidy(function(){return y.mean(Ba(y.sub(t,n)),-1)})}function ho(n,t){return y.tidy(function(){return y.mean(y.abs(y.sub(t,n)),-1)})}function _r(n,t){return y.tidy(function(){var e=y.sub(n,t),i=y.clipByValue(y.abs(n),gt(),Number.MAX_VALUE),r=y.abs(y.div(e,i));return y.mul(100,y.mean(r,-1))})}function _k(n,t){return y.tidy(function(){var e=y.clipByValue(t,gt(),Number.MAX_VALUE),i=y.log(y.add(1,e)),r=y.clipByValue(n,gt(),Number.MAX_VALUE),a=y.log(y.add(1,r));return y.mean(Ba(y.sub(i,a)),-1)})}function Mk(n,t){return y.tidy(function(){var e=y.maximum(0,y.sub(1,y.mul(n,t)));return y.mean(Ba(e),-1)})}function Hk(n,t){return y.tidy(function(){var e=y.maximum(0,y.sub(1,y.mul(n,t)));return y.mean(e,-1)})}function Vk(n,t){return y.tidy(function(){var e=y.sum(y.mul(n,t),-1),i=y.max(y.mul(y.sub(1,n),t),-1);return y.maximum(0,y.add(1,y.sub(i,e)))})}function qk(n,t){return y.tidy(function(){var e=Math.log(2),i=y.sub(t,n),r=y.sub(y.add(i,y.softplus(y.mul(-2,i))),e);return y.mean(r,-1)})}function _a(n,t,e){return e===void 0&&(e=!1),y.tidy(function(){if(e)t=y.softmax(t);else{var i=y.sum(t,t.shape.length-1,!0);t=y.div(t,i)}return t=y.clipByValue(t,gt(),1-gt()),y.neg(y.sum(y.mul(n.toFloat(),y.log(t)),t.shape.length-1))})}function po(n,t,e){return e===void 0&&(e=!1),y.tidy(function(){var i=y.floor(sk(n)).toInt();t=y.clipByValue(t,gt(),1-gt());var r=t.shape,a=y.oneHot(i,r[r.length-1]).reshape(r);return _a(a,t,e)})}function Gk(n,t){if(!y.util.arraysEqual(n.shape,t.shape))throw new M("logits and labels must have the same shape, but got shapes "+(JSON.stringify(n.shape)+" and "+JSON.stringify(t.shape)));return y.tidy(function(){var e=t.relu(),i=t.abs().neg();return e.sub(t.mul(n)).add(i.exp().log1p())})}function fo(n,t){return y.tidy(function(){var e;return e=y.clipByValue(t,gt(),1-gt()),e=y.log(y.div(e,y.sub(1,e))),y.mean(Gk(n,e),-1)})}function Yk(n,t){return y.tidy(function(){var e=y.clipByValue(n,gt(),1),i=y.clipByValue(t,gt(),1);return y.sum(y.mul(n,y.log(y.div(e,i))),-1)})}function Kk(n,t){return y.tidy(function(){var e=y.log(y.add(gt(),t));return y.mean(y.sub(t,y.mul(n,e)),-1)})}function Lh(n,t){return y.tidy(function(){var e=co(n,-1),i=co(t,-1),r=y.mul(e,i);return y.neg(y.sum(r,-1))})}var mo={meanSquaredError:Xi,meanAbsoluteError:ho,meanAbsolutePercentageError:_r,meanSquaredLogarithmicError:_k,squaredHinge:Mk,hinge:Hk,categoricalHinge:Vk,logcosh:qk,categoricalCrossentropy:_a,sparseCategoricalCrossentropy:po,binaryCrossentropy:fo,kullbackLeiblerDivergence:Yk,poisson:Kk,cosineProximity:Lh};function Ih(n){if(typeof n=="string"){if(n in mo)return mo[n];var t="Unknown loss "+n;throw n.toLowerCase().includes("softmaxcrossentropy")&&(t="Unknown loss "+n+'. Use "categoricalCrossentropy" as the string name for tf.losses.softmaxCrossEntropy'),new M(t)}else return n}function Ah(n,t){return y.tidy(function(){var e=y.mul(.5,y.onesLike(t)),i=Wa(y.greater(t,e),n.dtype);return y.mean(y.equal(n,i),-1)})}function Th(n,t){return y.tidy(function(){return Wa(y.equal(y.argMax(n,-1),y.argMax(t,-1)),"float32")})}function sy(n,t){return y.tidy(function(){return y.logicalAnd(n.equal(1),t.equal(1)).sum().cast("float32")})}function jk(n,t){return y.tidy(function(){return y.logicalAnd(n.equal(1),t.equal(0)).sum().cast("float32")})}function $k(n,t){return y.tidy(function(){return y.logicalAnd(n.equal(0),t.equal(1)).sum().cast("float32")})}function oy(n,t){return y.tidy(function(){var e=sy(n,t),i=$k(n,t),r=e.add(i);return y.where(y.greater(r,0),e.div(r),0).cast("float32")})}function Xk(n,t){return y.tidy(function(){var e=sy(n,t),i=jk(n,t),r=e.add(i);return y.where(y.greater(r,0),e.div(r),0).cast("float32")})}function ly(n,t){return fo(n,t)}function uy(n,t){return n.rank===t.rank&&(n=n.squeeze([n.rank-1])),t=t.argMax(-1),t.dtype!==n.dtype&&(t=t.asType(n.dtype)),y.equal(n,t).asType("float32")}var Jk=Xi,Zk=Xi,Qk=ho,e3=ho,t3=_r,n3=_r,Nh=_a,i3=Lh,cy=po,go={binaryAccuracy:Ah,categoricalAccuracy:Th,precision:oy,categoricalCrossentropy:Nh,sparseCategoricalCrossentropy:cy,mse:Jk,MSE:Zk,mae:Qk,MAE:e3,mape:t3,MAPE:n3,cosine:i3};function r3(n){if(typeof n=="string"&&n in go)return go[n];if(typeof n!="string"&&n!=null)return n;throw new M("Unknown metric "+n)}function vo(n){if(On(n!==null,"Unknown LossOrMetricFn "+n),typeof n=="string")return n;for(var t=void 0,e=0,i=Object.keys(mo);e<i.length;e++){var r=i[e];if(mo[r]===n){t=r;break}}if(t!==void 0)return t;for(var a=0,s=Object.keys(go);a<s.length;a++){var r=s[a];if(go[r]===n){t=r;break}}return t!==void 0?t:n.name}function a3(n){var t={Adagrad:function(){return y.train.adagrad(.01)},Adadelta:function(){return y.train.adadelta(1,.95,gt())},Adam:function(){return y.train.adam(.001,.9,.999,gt())},Adamax:function(){return y.train.adamax(.002,.9,.999,gt(),0)},RMSProp:function(){return y.train.rmsprop(.001,.9,0,gt())},SGD:function(){return y.train.sgd(.01)}};if(t.adagrad=t.Adagrad,t.adadelta=t.Adadelta,t.adam=t.Adam,t.adamax=t.Adamax,t.rmsprop=t.RMSProp,t.sgd=t.SGD,n in t)return t[n]();throw new M("Unknown Optimizer "+n)}var hy=1*1024*1024;function dy(n,t,e){if(e===void 0&&(e=!1),n==null||typeof n!="object"||Object.getPrototypeOf(n)!==Object.prototype||!xh(n))throw new Error("User-defined metadata is expected to be a JSON object, but is not.");if(e){var i=JSON.stringify(n);i.length>hy&&console.warn('User-defined metadata of model "'+t+'" is too large in '+("size (length="+i.length+" when serialized). It is not ")+"recommended to store such large objects in user-defined metadata. Please make sure its serialized length is <= "+(hy+"."))}}function xh(n){if(n===null)return!0;if(typeof n=="object")if(Object.getPrototypeOf(n)===Object.prototype){for(var t=Object.keys(n),e=0,i=t;e<i.length;e++){var r=i[e];if(typeof r!="string")return!1;if(!xh(n[r]))return!1}return!0}else if(Array.isArray(n)){for(var a=0,s=n;a<s.length;a++){var o=s[a];if(!xh(o))return!1}return!0}else return!1;else{var l=typeof n;return l==="string"||l==="number"||l==="boolean"}}function c3(n,t,e,i){i===void 0&&(i=console.log);var r=o3(n),a=["Layer (type)","Output shape","Param #"];r?(t=t||65,e=e||[.45,.85,1]):(t=t||98,e=e||[.33,.55,.67,1]),e[e.length-1]<=1&&(e=e.map(function(d){return Math.floor(t*d)}));var s;if(!r){a.push("Receives inputs"),s=[];for(var o in n.nodesByDepth)s.push.apply(s,n.nodesByDepth[o])}i("_".repeat(t)),yo(a,e,i),i("=".repeat(t));for(var l=n.layers,u=0;u<l.length;++u)r?l3(l[u],e,i):u3(l[u],e,s,i),i((u===l.length-1?"=":"_").repeat(t));n.checkTrainableWeightsConsistency();var c=s3(n),h=lo(n.nonTrainableWeights);i("Total params: "+(c+h)),i("Trainable params: "+c),i("Non-trainable params: "+h),i("_".repeat(t))}function s3(n){var t;return n.collectedTrainableWeights!=null?t=lo(n.collectedTrainableWeights):t=lo(n.trainableWeights),t}function o3(n){var t=!0,e=[],i=[];for(var r in n.nodesByDepth)e.push(n.nodesByDepth[r]);for(var a=0,s=e;a<s.length;a++){var o=s[a];if(o.length>1||o.length===1&&o[0].inboundLayers.length>1){t=!1;break}i.push.apply(i,o)}if(t)for(var l=0,u=n.layers;l<u.length;l++){for(var c=u[l],h=!1,d=0,p=c.inboundNodes;d<p.length;d++){var f=p[d];if(i.indexOf(f)!==-1)if(h){t=!1;break}else h=!0}if(!t)break}return t}function yo(n,t,e){e===void 0&&(e=console.log);for(var i="",r=0;r<n.length;++r)r>0&&(i=i.slice(0,i.length-1)+" "),i+=n[r],i=i.slice(0,t[r]),i+=" ".repeat(t[r]-i.length);e(i)}function l3(n,t,e){var i;try{i=JSON.stringify(n.outputShape)}catch(o){i="multiple"}var r=n.name,a=n.getClassName(),s=[r+" ("+a+")",i,n.countParams().toString()];yo(s,t,e)}function u3(n,t,e,i){var r;try{r=JSON.stringify(n.outputShape)}catch(v){r="multiple"}for(var a=[],s=0,o=n.inboundNodes;s<o.length;s++){var l=o[s];if(e!=null&&e.length>0&&e.indexOf(l)===-1)continue;for(var u=0;u<l.inboundLayers.length;++u){var c=l.inboundLayers[u].name,h=l.nodeIndices[u],d=l.tensorIndices[u];a.push(c+"["+h+"]["+d+"]")}}var p=n.name,f=n.getClassName(),m=a.length===0?"":a[0],g=[p+" ("+f+")",r,n.countParams().toString(),m];yo(g,t,i);for(var u=1;u<a.length;++u)yo(["","","",a[u]],t,i)}function py(n,t,e){return(n==="inboundNodes"||n==="outputLayers"||n==="inputLayers")&&t===0&&typeof e=="string"}function Ma(n,t){if(n===null)return null;if(typeof n=="string")return Ki(n);if(typeof n=="number"||typeof n=="boolean")return n;if(n instanceof Array){for(var e=[],i=n.length,r=0;r<i;++r){var a=n[r];py(t,r,a)?e.push(a):e.push(Ma(a,t))}return e}else{for(var s={},o=0,l=Object.keys(n);o<l.length;o++){var u=l[o],c=n[u];if(u==="name"&&typeof c=="string")s[u]=c;else{var h=Ki(u);s[h]=Ma(c,h)}}return s}}function Ch(n,t){if(n==null)return null;if(typeof n=="string")return Yn(n);if(typeof n=="number"||typeof n=="boolean")return n;if(n instanceof Array){for(var e=[],i=n.length,r=0;r<i;++r){var a=n[r];py(t,r,a)?e.push(a):e.push(Ch(a,t))}return e}else{for(var s={},o=0,l=Object.keys(n);o<l.length;o++){var u=l[o],c=n[u],h=Yn(u);(u==="name"||u==="className")&&typeof c=="string"?s[h]=c:s[h]=Ch(c,u)}return s}}var Rh="2.6.0";function h3(n,t){if(n.dtype==null||n.dtype===t.dtype)return t;try{return y.cast(t,n.dtype)}catch(e){throw new M("The dtype of the feed ("+t.dtype+") can not be cast to the dtype "+("of the key '"+n.name+"' ("+n.dtype+")."))}}var Mr=function(){function n(t){if(this.id2Value={},this.id2Mask={},this.name2Id={},t instanceof n)for(var e in t.id2Value)this.id2Value[e]=t.id2Value[e],e in t.id2Mask&&(this.id2Mask[e]=t.id2Mask[e]);else{if(t==null)return;for(var i=0,r=t;i<r.length;i++){var a=r[i];this.add(a.key,a.value)}}}return n.prototype.add=function(t,e,i){if(this.id2Value[t.id]==null)this.id2Value[t.id]=h3(t,e),this.name2Id[t.name]=t.id,i!=null&&(this.id2Mask[t.id]=i);else throw new M("Duplicate key: name="+t.name+", id="+t.id);return this},n.prototype.addFeed=function(t){this.add(t.key,t.value)},n.prototype.hasKey=function(t){return this.id2Value[t.id]!=null},n.prototype.names=function(){return Object.keys(this.name2Id)},n.prototype.getValue=function(t){if(t instanceof fn){if(this.id2Value[t.id]==null)throw new M("Nonexistent key: "+t.name);return this.id2Value[t.id]}else{var e=this.name2Id[t];if(e==null)throw new M("Feed dict has no SymbolicTensor name: "+t);return this.id2Value[e]}},n.prototype.getMask=function(t){if(t instanceof fn){if(this.id2Value[t.id]==null)throw new M("Nonexistent key: "+t.name);return this.id2Mask[t.id]}else{var e=this.name2Id[t];if(e==null)throw new M("Feed dict has no SymbolicTensor name: "+t);return this.id2Mask[e]}},n.prototype.disposeMasks=function(){this.id2Mask!=null&&y.dispose(this.id2Mask)},n}(),Oh={},fy={};function Ha(n,t,e,i){for(var r=e==null?!1:e.training,a=Array.isArray(n),s=a?n:[n],o=s.map(function(X){return X.name}),l=[],u=t.names(),c=0,h=o;c<h.length;c++){var d=h[c];u.indexOf(d)!==-1?l.push(t.getValue(d)):l.push(null)}i!=null&&(i.maxNumTensors=-Infinity,i.minNumTensors=Infinity);var p=o.join(",")+"|"+t.names().join(","),f,m;if(Oh[p]==null){var g=d3(s,t);f=g.sorted,m=g.recipientCounts,Oh[p]=f,fy[p]=m}f=Oh[p],m={},r||Object.assign(m,fy[p]);for(var v=new Mr(t),b=0;b<f.length;++b){if(i!=null){var w=y.memory().numTensors;w>i.maxNumTensors&&(i.maxNumTensors=w),w<i.minNumTensors&&(i.minNumTensors=w)}var S=f[b],L=S.sourceLayer;if(L instanceof Pa)continue;for(var x=[],C=[],R=[],D=!1,k=0,W=S.inputs;k<W.length;k++){var F=W[k],P=v.getValue(F),H=v.getMask(F);x.push(P),C.push(H),H!=null&&(D=!0),r||(m[F.name]--,m[F.name]===0&&!t.hasKey(F)&&o.indexOf(F.name)===-1&&!P.isDisposed&&F.sourceLayer.stateful!==!0&&R.push(P))}D&&(e=e||{},e.mask=C[0]);var _=Xe(L.apply(x,e)),K=null;L.supportsMasking&&(K=L.computeMask(x,C));for(var j=p3(S),q=Array.isArray(j)?j:[j],G=0;G<q.length;++G){v.hasKey(q[G])||v.add(q[G],_[G],Array.isArray(K)?K[0]:K);var Z=o.indexOf(q[G].name);Z!==-1&&(l[Z]=_[G])}r||y.dispose(R)}return v.disposeMasks(),a?l:l[0]}function d3(n,t){y.util.assert(n!=null&&n.length>0,function(){return"Expected at least one fetch, got none"});var e=[],i={};if(n.length===1){var r=my(n[0],t);e=r.sorted,i=r.recipientMap}else for(var a=new Set,s=0,o=n;s<o.length;s++){for(var l=o[s],u=my(l,t),c=u.sorted,h=u.recipientMap,d=0,p=c;d<p.length;d++){var f=p[d];a.has(f.name)||(e.push(f),a.add(f.name))}var m=function(v){i[v]==null&&(i[v]=new Set),h[v].forEach(function(b){return i[v].add(b)})};for(var g in h)m(g)}return{sorted:e,recipientCounts:f3(i)}}function f3(n){var t={};for(var e in n)t[e]=n[e].size;return t}function my(n,t){for(var e=new Set,i=[],r={},a=0,s=t.names();a<s.length;a++){var o=s[a];e.add(o)}var l=[],u=[];for(l.push(n);l.length>0;){var c=l[l.length-1];if(e.has(c.name)){l.pop();continue}var h=u[u.length-1]===l.length-1;if(c.inputs.length===0||h)l.pop(),i.push(c),e.add(c.name),h&&u.pop();else{u.push(l.length-1);for(var d=0,p=c.inputs;d<p.length;d++){var f=p[d];if(r[f.name]==null&&(r[f.name]=new Set),r[f.name].add(c.name),e.has(f.name))continue;l.push(f)}}}return{sorted:i,recipientMap:r}}function p3(n){var t;if(n.sourceLayer.inboundNodes.length===1)t=n.sourceLayer.output;else{for(var e=null,i=0;i<n.sourceLayer.inboundNodes.length;++i)for(var r=0,a=n.sourceLayer.inboundNodes[i].outputTensors;r<a.length;r++){var s=a[r];if(s.id===n.id){e=i;break}}t=n.sourceLayer.getOutputAt(e)}return t}var m3=function(n){Q(t,n);function t(e){var i=n.call(this,{})||this;if(i.containerNodes=new Set,i.name=e.name,i.name==null){var r=i.getClassName().toLowerCase();i.name=so(r)}if(i.supportsMasking=!1,i.trainable_=!0,Array.isArray(e.inputs)?i.inputs=e.inputs.slice():i.inputs=[e.inputs],Array.isArray(e.outputs)?i.outputs=e.outputs.slice():i.outputs=[e.outputs],hi(i.inputs).length!==i.inputs.length)throw new M("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+(""+i.inputs.map(function(Ce){return Ce.name})));hi(i.outputs).length!==i.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+(""+i.outputs.map(function(Ce){return Ce.name}))),i.inputLayers=[],i.inputLayersNodeIndices=[],i.inputLayersTensorIndices=[],i.outputLayers=[],i.outputLayersNodeIndices=[],i.outputLayersTensorIndices=[],i.layers=[],i.internalContainerRefs=[];for(var a=0,s=i.outputs;a<s.length;a++){var o=s[a],l=o.sourceLayer,u=o.nodeIndex,c=o.tensorIndex;i.outputLayers.push(l),i.outputLayersNodeIndices.push(u),i.outputLayersTensorIndices.push(c)}for(var h=0,d=i.inputs;h<d.length;h++){var o=d[h],l=o.sourceLayer,u=o.nodeIndex,c=o.tensorIndex;On(u===0,"input layer has >1 nodes"),On(c===0,"input layer has >1 tensors"),i.inputLayers.push(l),i.inputLayersNodeIndices.push(u),i.inputLayersTensorIndices.push(c)}i.inputNames=[],i.outputNames=[],i.feedInputShapes=[],i.feedInputNames=[],i.feedOutputNames=[];for(var p=0;p<i.inputLayers.length;p++){var l=i.inputLayers[p];if(!(l instanceof Pa))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. "+("Received inputs: "+e.inputs+". ")+("Input "+p+" (0-based) originates ")+("from layer type "+l.getClassName()+"."));i.inputNames.push(l.name),i.feedInputShapes.push(l.batchInputShape),i.feedInputNames.push(l.name)}for(var f=0,m=i.outputLayers;f<m.length;f++){var l=m[f];i.outputNames.push(l.name)}i.internalInputShapes=i.inputs.map(function(Ce){return Ce.shape}),i.internalOutputShapes=i.outputs.map(function(Ce){return Ce.shape});for(var g={},v={},b={},w={},S={},L=[],x=function(Ce,Et,dt,nt,nn,ds){(nt==null||nn==null||ds==null)&&(nt=Ce.sourceLayer,nn=Ce.nodeIndex,ds=Ce.tensorIndex);var Ft=nt.inboundNodes[nn];if(dt.indexOf(Ft)!==-1)throw new Rn("The tensor "+Ce.name+' at layer "'+nt.name+'" is part of a cycle.');if(Et.indexOf(Ft)!==-1)return;i.containerNodes.add(t.nodeKey(nt,nn)),nt.id in S||(S[nt.id]=Object.keys(S).length),dt.indexOf(Ft)===-1&&dt.push(Ft);for(var LI=Ft.inboundLayers.length,fr=0;fr<LI;fr++){var II=Ft.inputTensors[fr],AI=Ft.inboundLayers[fr],TI=Ft.nodeIndices[fr],NI=Ft.tensorIndices[fr];x(II,Et,dt,AI,TI,NI)}for(Et.push(Ft);dt.indexOf(Ft)>=0;)dt.splice(dt.indexOf(Ft),1);L.push(Ft)},C=[],R=[],D=0,k=i.outputs;D<k.length;D++){var o=k[D];x(o,C,R)}for(var W=L.slice().reverse(),F=0,P=W;F<P.length;F++){var H=P[F];v[H.id]=H,H.id in g||(g[H.id]=0);var _=g[H.id],K=b[H.outboundLayer.id]==null?0:b[H.outboundLayer.id];_=Math.max(_,K),b[H.outboundLayer.id]=_,w[H.outboundLayer.id]=H.outboundLayer,g[H.id]=_;for(var p=0;p<H.inboundLayers.length;p++){var j=H.inboundLayers[p],u=H.nodeIndices[p],q=j.inboundNodes[u],G=g[q.id]==null?0:g[q.id];g[q.id]=Math.max(_+1,G),v[q.id]=q}}var Z={};for(var X in g){var _=g[X];_ in Z||(Z[_]=[]),Z[_].push(v[X])}var ee={};for(var ne in b){var _=b[ne];_ in ee||(ee[_]=[]),ee[_].push(w[ne])}var ie=Object.keys(ee).map(function(Ce){return parseInt(Ce,10)}).sort(no);i.layers=[];for(var te=0,re=ie;te<re.length;te++){var _=re[te],le=ee[_];le.sort(function(Et,dt){var nt=S[Et.id],nn=S[dt.id];return nt<nn?-1:nt>nn?1:0});for(var he=0,be=le;he<be.length;he++){var l=be[he];l instanceof t&&i.internalContainerRefs.push(l),i.layers.push(l)}}i.layersByDepth=ee,ie=Object.keys(Z).map(function(Ce){return parseInt(Ce,10)}).sort(no);for(var Oe=i.inputs.slice(),ke=[],_e=0,Me=ie;_e<Me.length;_e++)for(var _=Me[_e],ct=0,wt=Z[_];ct<wt.length;ct++){var H=wt[ct],l=H.outboundLayer;if(l!=null){for(var qe=0,We=H.inputTensors;qe<We.length;qe++){var o=We[qe];if(Oe.indexOf(o)===-1)throw new Rn("Graph disconnected: cannot obtain value for tensor "+o+(' at layer "'+l.name+'". ')+"The following previous layers were accessed without "+("issue: "+ke))}for(var me=0,Ot=H.outputTensors;me<Ot.length;me++){var o=Ot[me];Oe.push(o)}ke.push(l.name)}}i.nodesByDepth=Z;for(var ot=i.layers.map(function(Ce){return Ce.name}),ht=function(Ce){var Et=ot.filter(function(dt){return dt===Ce}).length;if(Et!==1)throw new Rn('The name "'+Ce+'" is used '+Et+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(ot))},Ln=0,Ct=ot;Ln<Ct.length;Ln++){var St=Ct[Ln];ht(St)}return i.outboundNodes=[],i.inboundNodes=[],new uo({outboundLayer:i,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:i.inputs,outputTensors:i.outputs,inputMasks:i.inputs.map(function(Ce){return null}),outputMasks:i.outputs.map(function(Ce){return null}),inputShapes:i.inputs.map(function(Ce){return Ce.shape}),outputShapes:i.outputs.map(function(Ce){return Ce.shape})}),i.built=!0,i._refCount=1,i}return t.prototype.assertNotDisposed=function(){if(this._refCount===0)throw new Error("Container '"+this.name+"' is already disposed.")},t.prototype.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(--this._refCount===0){for(var i=0,r=this.layers;i<r.length;i++){var a=r[i];e.numDisposedVariables+=a.dispose().numDisposedVariables}for(var s=0,o=this.internalContainerRefs;s<o.length;s++){var l=o[s];e.numDisposedVariables+=l.dispose().numDisposedVariables}}return e.refCountAfterDispose=this._refCount,e},Object.defineProperty(t.prototype,"trainable",{get:function(){return this.trainable_},set:function(e){this.layers.forEach(function(i){i._trainableWeights.forEach(function(r){return r.trainable=e})}),this.trainable_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new M("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var e=[],i=0,r=this.layers;i<r.length;i++){var a=r[i];e=e.concat(a.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],i=0,r=this.layers;i<r.length;i++){var a=r[i];e.push.apply(e,a.nonTrainableWeights)}if(!this.trainable){for(var s=[],o=0,l=this.layers;o<l.length;o++){var a=l[o];s.push.apply(s,a.trainableWeights)}return s.concat(e)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.loadWeights=function(e,i){i===void 0&&(i=!0);for(var r={},a=0,s=0,o=this.layers;s<o.length;s++)for(var l=o[s],u=0,c=l.weights;u<c.length;u++){var h=c[u];if(r[h.originalName]!=null)throw new M("Duplicate weight name: "+h.originalName);r[h.originalName]=h,a++}var d=[];for(var p in e){var f=p;if(r[p]==null){var m=p.split("/"),g=m.slice(0,-2).concat([m[m.length-1]]);f=g.join("/")}if(r[f]!=null)d.push([r[f],e[p]]);else if(i)throw new M("Provided weight data has no target variable: "+p);delete r[f]}if(i){var v=[];for(var b in r)v.push(b);if(v.length>0)throw new M(v.length+" of "+a+" weights are not set: "+(""+v))}Sh(d)},t.prototype.updatedConfig=function(){var e=this.getConfig(),i={};return i.className=this.getClassName(),i.config=e,i.kerasVersion="tfjs-layers "+Rh,i.backend="TensorFlow.js",i},t.prototype.toJSON=function(e,i){i===void 0&&(i=!0);var r=Ch(this.updatedConfig());return i?JSON.stringify(r):r},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=Xe(e);for(var a=new Mr,s=0;s<r.inputs.length;++s)a.add(r.inputs[s],e[s]);return Ha(r.outputs,a,i)})},t.prototype.computeMask=function(e,i){var r=this;return y.tidy(function(){e=Xe(e);var a;return i==null?a=Yi(null,e.length):a=Xe(i),r.runInternalGraph(e,a)[1]})},t.prototype.computeOutputShape=function(e){var i=oo(e);if(i.length!==this.inputLayers.length)throw new M("Invalid inputShape argument "+e+": "+("model has "+this.inputLayers.length+" tensor inputs."));for(var r={},a=0;a<i.length;a++){var s=this.inputLayers[a],o=i[a],l=s.name+"_0_0";r[l]=o}var u=Object.keys(this.nodesByDepth).map(function(P){return parseInt(P,10)}).sort(no);if(u.length>1)for(var c=0,h=u;c<h.length;c++)for(var d=h[c],p=this.nodesByDepth[d],f=0,m=p;f<m.length;f++){var g=m[f],s=g.outboundLayer;if(this.inputLayers.map(function(H){return H.id}).indexOf(s.id)!==-1)continue;for(var v=[],b=0;b<g.inboundLayers.length;b++){var w=g.inboundLayers[b],S=g.nodeIndices[b],L=g.tensorIndices[b],l=w.name+"_"+S+"_"+L,x=r[l];v.push(x)}for(var C=s.computeOutputShape(zt(v)),R=oo(C),D=s.inboundNodes.indexOf(g),b=0;b<R.length;b++){var l=s.name+"_"+D+"_"+b;r[l]=R[b]}}for(var k=[],W=[],a=0;a<this.outputLayers.length;a++){var s=this.outputLayers[a],D=this.outputLayersNodeIndices[a],L=this.outputLayersTensorIndices[a],l=s.name+"_"+D+"_"+L;W.push(l)}for(var a=0;a<W.length;a++){var F=W[a];On(F in r),k.push(r[F])}return zt(k)},t.prototype.runInternalGraph=function(e,i){i==null&&(i=Yi(null,e.length));for(var r={},a=0;a<this.inputs.length;++a){var s=this.inputs[a],o=e[a],l=i[a];r[s.id]=[o,l]}for(var u=Object.keys(this.nodesByDepth).map(function(ee){return parseInt(ee,10)}).sort(no),c=0,h=u;c<h.length;c++)for(var d=h[c],p=this.nodesByDepth[d],f=0,m=p;f<m.length;f++){for(var g=m[f],v=g.outboundLayer,b=g.inputTensors,w=g.outputTensors,S=new Array,L=0,x=b;L<x.length;L++){var s=x[L];s.id in r&&S.push(r[s.id])}if(S.length===b.length){var C={},R=void 0,D=void 0,k=void 0,W=void 0;if(g.callArgs!=null&&(C=g.callArgs),S.length===1){var F=S[0],P=F[0],H=F[1];C.mask==null&&(C.mask=H),k=Xe(v.call(P,C)),W=Xe(v.computeMask(P,H)),R=[P],D=[H]}else R=S.map(function(ee){return ee[0]}),D=S.map(function(ee){return ee[1]}),C.mask==null&&(C.mask=D),k=Xe(v.call(R,C)),W=Xe(v.computeMask(R,D));if(v.activityRegularizer)throw new Te("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var a=0;a<w.length;++a){var s=w[a],o=k[a],l=W[a];r[s.id]=[o,l]}}}for(var _=[],K=[],j=[],q=0,G=this.outputs;q<G.length;q++){var s=G[q];On(s.id in r,"Could not compute output "+s.name+" : "+s.id);var Z=r[s.id],X=Z[0],l=Z[1];j.push(X.shape),_.push(X),K.push(l)}return[_,K,j]},t.prototype.buildNodeConversionMap=function(e){for(var i={},r,a=0,s=this.layers;a<s.length;a++){var o=s[a];r=o instanceof t?1:0;for(var l=0;l<o.inboundNodes.length;l++){var u=t.nodeKey(o,l);this.containerNodes.has(u)&&(i[u]=r,r+=1)}}return i},t.prototype.getLayer=function(e,i){if(i!=null){if(this.layers.length<=i)throw new M("Was asked to retrieve layer at index "+i+", but model only "+("has "+this.layers.length+" layer(s)."));return this.layers[i]}else if(e==null)throw new M("Provide either a layer name or layer index");for(var r=0,a=this.layers;r<a.length;r++){var s=a[r];if(s.name===e)return s}throw new M("No such layer: "+e)},t.prototype.calculateLosses=function(){var e=this;return y.tidy(function(){for(var i=[],r=0,a=e.layers;r<a.length;r++)for(var s=a[r],o=0;o<s.inboundNodes.length;++o){var l=t.nodeKey(s,o);e.containerNodes.has(l)&&i.push.apply(i,s.calculateLosses())}return i})},t.prototype.getConfig=function(){for(var e={name:this.name},i=this.buildNodeConversionMap(this.layers),r=[],a=0,s=this.layers;a<s.length;a++){for(var o=s[a],l=o.getClassName(),u=o.getConfig(),c=[],h=0;h<o.inboundNodes.length;h++){var d=o.inboundNodes[h],p=t.nodeKey(o,h),f={};if(this.containerNodes.has(p)){if(d.callArgs)try{JSON.stringify(d.callArgs),f=d.callArgs}catch(D){console.warn("Layer "+o.name+" was passed non-serializable keyword arguments: "+(d.callArgs+". They will not be included ")+"in the serialized model (and thus will be missing at deserialization time)."),f={}}if(d.inboundLayers.length>0){for(var m=[],g=0;g<d.inboundLayers.length;g++){var v=d.inboundLayers[g],b=d.nodeIndices[g],w=d.tensorIndices[g],S=t.nodeKey(v,b),L=i[S];L==null&&(L=0),m.push([v.name,L,w,f])}c.push(m)}}}var x={};x.name=o.name,x.className=l,x.config=u,x.inboundNodes=c,r.push(x)}e.layers=r;for(var C=[],g=0;g<this.inputLayers.length;g++){var o=this.inputLayers[g],b=this.inputLayersNodeIndices[g],p=t.nodeKey(o,b);if(!this.containerNodes.has(p))continue;var L=i[p];L==null&&(L=0);var w=this.inputLayersTensorIndices[g];C.push([o.name,L,w])}e.inputLayers=C;for(var R=[],g=0;g<this.outputLayers.length;g++){var o=this.outputLayers[g],b=this.outputLayersNodeIndices[g],p=t.nodeKey(o,b);if(!this.containerNodes.has(p))continue;var L=i[p];L==null&&(L=0);var w=this.outputLayersTensorIndices[g];R.push([o.name,L,w])}return e.outputLayers=R,e},t.fromConfig=function(e,i,r,a){a===void 0&&(a=!1);var s={},o={};function l(G,Z){G.name in o?o[G.name].push(Z):o[G.name]=[Z]}function u(G,Z){for(var X=[],ee,ne=0,ie=Z;ne<ie.length;ne++){var te=ie[ne],re=te[0],le=te[1],he=te[2];if(ee=te[3]==null?{}:te[3],!(re in s)){l(G,Z);return}var be=s[re];if(be.inboundNodes.length<=le){l(G,Z);return}var Oe=be.inboundNodes[le];X.push(Oe.outputTensors[he])}X.length>0&&G.apply(zt(X),ee)}function c(G){var Z=G.name,X=mn(G,i.customObjects!=null?i.customObjects:{});X.setFastWeightInitDuringBuild(a),s[Z]=X;var ee=G.inboundNodes;ee.forEach(function(ne){if(!(ne instanceof Array))throw new M("Corrupted configuration, expected array for nodeData: "+ne);l(X,ne)})}for(var h=i.name,d=i.layers,p=0,f=d;p<f.length;p++){var m=f[p];c(m)}for(;!GD(o);)for(var g=0,v=d;g<v.length;g++){var m=v[g],b=s[m.name];if(b.name in o){var w=o[b.name];delete o[b.name];for(var S=0,L=w;S<L.length;S++){var x=L[S];u(b,x)}}}for(var C=[],R=[],D=i.inputLayers,k=0,W=D;k<W.length;k++){var m=W[k],F=m[0],P=m[1],H=m[2];On(F in s);var b=s[F],_=b.inboundNodes[P].outputTensors;C.push(_[H])}for(var K=i.outputLayers,j=0,q=K;j<q.length;j++){var m=q[j],F=m[0],P=m[1],H=m[2];On(F in s);var b=s[F],_=b.inboundNodes[P].outputTensors;R.push(_[H])}return new e({inputs:C,outputs:R,name:h})},Object.defineProperty(t.prototype,"stateful",{get:function(){if(this._stateful)throw new M("Container instance unexpectedly has _stateful = true. The statefulness of a Container is determined by the Layers it contains. Its _stateful property must remain the default false.");for(var e=0,i=this.layers;e<i.length;e++){var r=i[e];if(r.stateful)return!0}return!1},enumerable:!0,configurable:!0}),t.prototype.resetStates=function(){var e=this;y.tidy(function(){e.layers.forEach(function(i){i.stateful&&i.resetStates()})})},t}(De);function g3(n,t,e){var i=t.length;if(n==null||Array.isArray(n)&&n.length===0)return t.map(function(a){return null});if(i===1)return Array.isArray(n)&&n.length===1?n:typeof n=="object"&&t[0]in n?[n[t[0]]]:[n];if(Array.isArray(n)){if(n.length!==i)throw new Error("Provided "+e+" is an array of "+n.length+" "+("element(s), but the model has "+i+" outputs. ")+"Make sure a set of weights is provided for each model output.");return n}else if(typeof n=="object"&&Object.keys(n).length>0&&typeof n[Object.keys(n)[0]]=="object"){var r=[];return t.forEach(function(a){a in n?r.push(n[a]):r.push(null)}),r}else throw new Error("The model has multiple ("+i+") outputs, "+("so "+e+" must be either an array with ")+(i+" elements or an object with "+t+" keys. ")+("Provided "+e+" not understood: "+JSON.stringify(n)))}function gy(n,t){return g3(n,t,"classWeight")}function vy(n,t,e,i){return Le(this,void 0,void 0,function(){var r,a,s,o,l;return ye(this,function(u){switch(u.label){case 0:if(t!=null||i!=null)throw new Error("Support sampleWeight is not implemented yet");return e!=null?(r=y.tidy(function(){if(n.shape.length===1)return n.clone();if(n.shape.length===2)if(n.shape[1]>1){var c=1;return n.argMax(c)}else{if(n.shape[1]===1)return n.reshape([n.shape[0]]);throw new Error("Encountered unexpected last-dimension size ("+n.shape[1]+") during handling of class weights. The size is expected to be >= 1.")}else throw new Error("Unexpected rank of target (y) tensor ("+n.rank+") during handling of class weights. The rank is expected to be 1 or 2.")}),o=(s=Array).from,[4,r.data()]):[3,2];case 1:return a=o.apply(s,[u.sent()]),y.dispose(r),l=[],a.forEach(function(c){if(e[c]==null)throw new Error("classWeight must contain all classes in the training data. "+("The class "+c+" exists in the data but not in ")+"classWeight");l.push(e[c])}),[2,y.tensor1d(l,"float32")];case 2:return[2,null]}})})}function v3(n,t){return y.mul(n,t)}var y3=32;function by(n,t){var e,i,r=t;e=r.xs,i=r.ys,y.util.assert(e!=null&&i!=null,function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor. The provided Dataset instead generates "+(""+t)});var a=yy("input",n.inputNames,e),s=yy("output",n.outputNames,i),o=a[0].shape[0];y.util.assert(a.length===n.inputs.length,function(){return"LayersModel has "+n.inputs.length+" inputs, but the dataset "+("provides "+a.length+" inputs. (Expected input keys: ")+(JSON.stringify(n.inputNames)+")")}),y.util.assert(s.length===n.outputs.length,function(){return"LayersModel has "+n.outputs.length+" outputs, but the dataset "+("provides "+s.length+" outputs. (Expected output keys: ")+(JSON.stringify(n.outputNames)+")")});for(var l=function(d){y.util.assert(a[d].shape[0]===o,function(){return"Batch size mismatch: input "+(n.inputNames[d]+" has "+a[d].shape[0]+"; ")+("expected "+o+" based on input "+n.inputNames[0]+".")})},u=0;u<a.length;u++)l(u);for(var c=function(d){y.util.assert(s[d].shape[0]===o,function(){return"Batch size mismatch: output "+(n.outputNames[d]+" has "+s[d].shape[0]+"; ")+("expected "+o+" based on input "+n.inputNames[0]+".")})},h=0;h<s.length;h++)c(h);return{xs:a,ys:s}}function yy(n,t,e){if(e instanceof y.Tensor)return[e];if(Array.isArray(e))return y.util.assert(e.length===t.length,function(){return"Received an array of "+e.length+" Tensors, but expected "+t.length+" to match the "+n+" keys "+t+"."}),e;for(var i=[],r=0,a=t;r<a.length;r++){var s=a[r];if(e[s]==null)throw new M("The feature data generated by the dataset lacks the required "+(n+" key '"+s+"'."));i.push(e[s])}return i}function b3(n){if(n.length===3)throw new Te("Validation with sample weights is not implemented yet.");return{xs:n[0],ys:n[1]}}function S3(n,t,e){return Le(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,x,C,R,D,k,W,F,P,H,_,K,F,j,q,G,Z,F;return ye(this,function(X){switch(X.label){case 0:if(i=e.batchesPerEpoch!=null,y.util.assert(n.optimizer!=null,function(){return"You must compile a model before training/testing. Use LayersModel.compile(modelCompileConfig)."}),y.util.assert(e!=null,function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."}),y.util.assert(e.epochs!=null&&e.epochs>0&&Number.isInteger(e.epochs),function(){return"For fitDataset(), config.epochs is expected to be a positive "+("integer, but got "+e.epochs)}),y.util.assert(!i||e.batchesPerEpoch>0&&Number.isInteger(e.batchesPerEpoch),function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a "+("positive integer if specified, but got "+e.batchesPerEpoch)}),y.util.assert(e.validationSplit==null,function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."}),n.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");n.isTraining=!0,X.label=1;case 1:return X.trys.push([1,,26,27]),r=e.validationData!=null,a=void 0,s=void 0,r&&(wy(e.validationData)?y.util.assert(e.validationBatches==null||e.validationBatches>0&&Number.isInteger(e.validationBatches),function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, "+("but got "+e.validationBatches)}):(o=b3(e.validationData),a=o.xs,s=o.ys)),l=n.makeTrainFunction(),u=n.getDedupedMetricsNames(),c=void 0,r?c=u.slice().concat(u.map(function(ee){return"val_"+ee})):c=u.slice(),h=iy(e.callbacks,e.yieldEvery),d=e.verbose==null?1:e.verbose,p=ay(h,d,e.epochs,null,null,w3(t,e),null,r,c),f=p.callbackList,m=p.history,f.setModel(n),n.history=m,[4,f.onTrainBegin()];case 2:return X.sent(),n.stopTraining_=!1,g=e.initialEpoch==null?0:e.initialEpoch,[4,t.iterator()];case 3:v=X.sent(),X.label=4;case 4:return g<e.epochs?(b={},[4,f.onEpochBegin(g)]):[3,23];case 5:return X.sent(),w=0,S=0,i?[3,7]:[4,t.iterator()];case 6:v=X.sent(),X.label=7;case 7:return(i?w<e.batchesPerEpoch:!0)?[4,v.next()]:[3,21];case 8:return L=X.sent(),i&&L.done?(console.warn("You provided `batchesPerEpoch` as "+(e.batchesPerEpoch+", ")+"but your dataset iterator ran out of data after "+(w+" batches; ")+"interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+(e.batchesPerEpoch*e.epochs+" batches). ")+"You may need to use the repeat() function when building your dataset."),[3,21]):L.value!=null?(x=by(n,L.value),C=x.xs,R=x.ys,D={},D.batch=S,D.size=C[0].shape[0],[4,f.onBatchBegin(S,D)]):[3,15];case 9:if(X.sent(),k=[],!(e.classWeight!=null))return[3,13];W=gy(e.classWeight,n.outputNames),F=0,X.label=10;case 10:return F<W.length?(H=(P=k).push,[4,vy(R[F],null,W[F])]):[3,13];case 11:H.apply(P,[X.sent()]),X.label=12;case 12:return++F,[3,10];case 13:for(_=C.concat(R).concat(k),K=l(_),y.dispose(_),F=0;F<u.length;++F)j=u[F],q=K[F],D[j]=q,y.keep(q);return[4,f.onBatchEnd(S,D)];case 14:X.sent(),Zv(D),S++,w++,X.label=15;case 15:return(i?w>=e.batchesPerEpoch:L.done)?r?(G=void 0,wy(e.validationData)?(Z=Xe,[4,n.evaluateDataset(e.validationData,{batches:e.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return G=Z.apply(void 0,[X.sent()]),[3,18];case 17:G=Xe(n.evaluate(a,s,{batchSize:e.validationBatchSize==null?y3:e.validationBatchSize,verbose:0})),X.label=18;case 18:for(F=0;F<n.metricsNames.length;++F)b["val_"+n.metricsNames[F]]=G[F];X.label=19;case 19:return[3,21];case 20:return n.stopTraining_?[3,21]:[3,7];case 21:return[4,f.onEpochEnd(g,b)];case 22:return X.sent(),g++,n.stopTraining_?[3,23]:[3,4];case 23:return[4,f.onTrainEnd()];case 24:return X.sent(),[4,n.history.syncData()];case 25:return X.sent(),[2,n.history];case 26:return n.isTraining=!1,[7];case 27:return[2]}})})}function w3(n,t){var e=null;return t.batchesPerEpoch!=null?e=t.batchesPerEpoch:Number.isFinite(n.size)&&(e=n.size),e}function wy(n){return typeof n.iterator=="function"}function L3(n){return typeof n.next=="function"}function I3(n,t,e){return Le(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p;return ye(this,function(f){switch(f.label){case 0:if(e=e||{},i=e.batches!=null,r=n.testFunction,a=[],e.verbose>0)throw new Te("Verbose mode is not implemented yet.");return y.util.assert(!i||e.batches>0&&Number.isInteger(e.batches),function(){return"Test loop expects `batches` to be a positive integer, but "+("received "+JSON.stringify(e.batches))}),L3(t)?(o=t,[3,3]):[3,1];case 1:return[4,t.iterator()];case 2:o=f.sent(),f.label=3;case 3:s=o,l=0,u=0,c=function(){var m;return ye(this,function(g){switch(g.label){case 0:return[4,s.next()];case 1:return m=g.sent(),a=y.tidy(function(){if(m.value){var v=by(n,m.value),b=v.xs,w=v.ys,S=b.concat(w),L=y.tidy(function(){return r(S)});if(y.dispose(S),u===0)for(var x=0;x<L.length;++x)a.push(y.scalar(0));for(var C=S[0].shape[0],R=function(D){var k=L[D],W=a[D];a[D]=y.tidy(function(){return y.add(a[D],y.mul(C,k))}),u>0&&y.dispose(W)},x=0;x<L.length;++x)R(x);y.dispose(L),l+=C,++u}return a}),m.done?(i&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). Interrupting evalution. Make sure that your dataset can generate at least `batches` "+("batches (in this case, "+e.batches+" batches). ")+"You may need to use the repeat() function when building your dataset."),[2,"break"]):[2]}})},f.label=4;case 4:return(i?u<e.batches:!0)?[5,c()]:[3,6];case 5:return h=f.sent(),h==="break"?[3,6]:[3,4];case 6:for(d=0;d<a.length;++d)p=a[d],a[d]=y.div(a[d],l),y.dispose(p);return[2,zt(a)]}})})}function Eh(n){y.util.assert(n>0&&Number.isInteger(n),function(){return"batchSize is required to be a positive integer, but got "+n})}function Va(n,t,e){return n==null?[null]:Array.isArray(n)?n.map(function(i){return $i(i,t,e-t)}):$i(n,t,e-t)}function Dh(n,t){return y.tidy(function(){return n==null?null:Array.isArray(n)?n.map(function(e){return Dh(e,t)}):Uv(n,t.dtype==="int32"?t:t.toInt())})}function kh(n,t){for(var e=[],i=0,r=null;i<n;)r=i+t,r>=n&&(r=n),e.push([i,r]),i=r;return e}function A3(n,t,e,i,r,a,s,o,l,u,c,h,d,p,f){return Le(this,void 0,void 0,function(){var m,g,v,b,w,S,L,x,C;return ye(this,function(R){switch(R.label){case 0:if(r==null&&(r=32),a==null&&(a=1),c==null&&(c=!0),d==null&&(d=0),m=!1,l!=null&&u!=null&&(m=!0),f!=null&&(m=!0,p==null))throw new M("Can only use `validationSteps` when doing step-wise training, i.e., `stepsPerEpoch` must be set.");return g=n.checkNumSamples(e,r,p,"steps_per_epoch"),g!=null&&(v=pn(0,g)),s==null&&(s=1),b=ay(o,s,a,d,g,p,r,m,h),w=b.callbackList,S=b.history,w.setModel(n),n.history=S,[4,w.onTrainBegin()];case 1:R.sent(),n.stopTraining_=!1,L=function(D){var k,W,F,P,H,_;return ye(this,function(K){switch(K.label){case 0:return[4,w.onEpochBegin(D)];case 1:if(K.sent(),k={},!(p!=null))return[3,2];throw new Te("stepsPerEpoch mode is not implemented yet.");case 2:if(c==="batch")throw new Te("batch shuffling is not implemneted yet");c&&y.util.shuffle(v),W=y.tensor1d(v),F=kh(g,r),P=function(j){var q;return ye(this,function(G){switch(G.label){case 0:return q={},[4,w.onBatchBegin(j,q)];case 1:return G.sent(),y.tidy(function(){var Z=F[j][0],X=F[j][1],ee=$i(W,Z,X-Z);q.batch=j,q.size=X-Z;for(var ne=Dh(e,ee),ie=t(ne),te=0;te<i.length;++te){var re=i[te],le=ie[te];q[re]=le,y.keep(le)}if(j===F.length-1&&m)for(var he=n.testLoop(l,u,r),te=0;te<i.length;++te){var re=i[te],le=he[te];y.keep(le),k["val_"+re]=le}}),[4,w.onBatchEnd(j,q)];case 2:return G.sent(),Zv(q),n.stopTraining_?[2,"break"]:[2]}})},H=0,K.label=3;case 3:return H<F.length?[5,P(H)]:[3,6];case 4:if(_=K.sent(),_==="break")return[3,6];K.label=5;case 5:return++H,[3,3];case 6:W.dispose(),K.label=7;case 7:return[4,w.onEpochEnd(D,k)];case 8:return K.sent(),n.stopTraining_?[2,"break"]:[2]}})},x=d,R.label=2;case 2:return x<a?[5,L(x)]:[3,5];case 3:if(C=R.sent(),C==="break")return[3,5];R.label=4;case 4:return++x,[3,2];case 5:return[4,w.onTrainEnd()];case 6:return R.sent(),[4,n.history.syncData()];case 7:return R.sent(),[2,n.history]}})})}function T3(n,t,e,i){return i===void 0&&(i={}),Le(this,void 0,void 0,function(){var r,a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,x,C,R,D,k;return ye(this,function(W){switch(W.label){case 0:if(n.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");n.isTraining=!0,W.label=1;case 1:return W.trys.push([1,,7,8]),h=i.batchSize==null?32:i.batchSize,Eh(h),d=!1,[4,n.standardizeUserData(t,e,i.sampleWeight,i.classWeight,d,h)];case 2:if(p=W.sent(),r=p[0],a=p[1],c=p[2],f=!1,m=void 0,!(i.validationData!=null&&i.validationData.length>0))return[3,4];if(f=!0,i.validationData.length===2)s=i.validationData[0],o=i.validationData[1];else throw i.validationData.length===3?new Te("validationData including sample weights is not supported yet."):new M("When passing validation data, it must contain 2 (valX, valY) or 3 (valX, valY, valSampleWeight) items; "+(i.validationData+" is invalid."));return g=!0,[4,n.standardizeUserData(s,o,null,null,g,h)];case 3:return v=W.sent(),l=v[0],u=v[1],m=l.concat(u),[3,5];case 4:i.validationSplit!=null&&i.validationSplit>0&&i.validationSplit<1?(f=!0,b=Math.floor(r[0].shape[0]*(1-i.validationSplit)),w=r[0].shape[0],l=Va(r,b,w),r=Va(r,0,b),u=Va(a,b,w),a=Va(a,0,b),m=l.concat(u)):i.validationSteps!=null&&(f=!0),W.label=5;case 5:return S=r.concat(a).concat(c),n.checkTrainableWeightsConsistency(),L=n.makeTrainFunction(),x=n.getDedupedMetricsNames(),C=void 0,R=void 0,f?(n.makeTestFunction(),C=n.testFunction,R=x.slice().concat(x.map(function(F){return"val_"+F}))):(C=null,m=[],R=x.slice()),D=iy(i.callbacks,i.yieldEvery),[4,A3(n,L,S,x,h,i.epochs,i.verbose,D,C,m,i.shuffle,R,i.initialEpoch,null,null)];case 6:return k=W.sent(),[2,k];case 7:return n.isTraining=!1,Ji(r,t),Ji(a,e),Ji(l,s),Ji(u,o),c!=null&&y.dispose(c),[7];case 8:return[2]}})})}function Sy(n){var t=[];n instanceof y.Tensor&&(n=[n]);for(var e=0;e<n.length;++e){var i=n[e];if(i.rank===1)t.push(Ua(i,1));else{if(i.rank===0)throw new Error("Expected tensor to be at least 1D, but received a 0D tensor (scalar).");t.push(i)}}return t}function Ji(n,t){if(n==null)return;var e=[];if(t instanceof y.Tensor)e.push(t.id);else if(Array.isArray(t))t.forEach(function(l){return e.push(l.id)});else if(t!=null)for(var i in t){var r=t[i];e.push(r.id)}var a=[];if(n instanceof y.Tensor)e.indexOf(n.id)===-1&&a.push(n);else if(Array.isArray(n))n.forEach(function(l){e.indexOf(l.id)===-1&&a.push(l)});else if(n!=null)for(var s in n){var o=n[s];e.indexOf(o.id)===-1&&a.push(o)}a.forEach(function(l){l.isDisposed||l.dispose()})}function N3(n){return n instanceof y.Tensor}function Fh(n){return Array.isArray(n)}function Ly(n){return!N3(n)&&!Fh(n)}function Iy(n,t,e,i,r){if(i===void 0&&(i=!0),r===void 0&&(r=""),t==null||t.length===0){if(n!=null){var a=!1;if(Fh(n)&&n.length>0)a=!0;else if(Ly(n)){for(var s in n)if(n.hasOwnProperty(s)){a=!0;break}}else a=!0;if(a)throw new M("Error when checking model "+r+" expected no data, "+("but got "+n))}return[]}if(n==null)return t.map(function(g){return null});var o;if(Ly(n)){n=n,o=[];for(var l=0,u=t;l<u.length;l++){var c=u[l];if(n[c]==null)throw new M('No data provided for "'+c+'". Need data for each key in: '+(""+t));o.push(n[c])}}else if(Fh(n)){if(n=n,n.length!==t.length)throw new M("Error when checking model "+r+": the Array of Tensors that you are passing to your model is not the size the "+("model expected. Expected to see "+t.length+" Tensor(s), but ")+("instead got the following list of Tensor(s): "+n));o=n}else{if(n=n,t.length>1)throw new M("The model "+r+" expects "+t.length+" Tensor(s), "+("but only received one Tensor. Found: Tensor with shape "+n.shape));o=[n]}if(o=Sy(o),e!=null)for(var h=0;h<t.length;++h){if(e[h]==null)continue;var d=o[h];if(d.shape.length!==e[h].length)throw new M("Error when checking "+r+": expected "+t[h]+" "+("to have "+e[h].length+" dimension(s). but got array with ")+("shape "+d.shape));for(var p=0;p<e[h].length;++p){if(p===0&&!i)continue;var f=d.shape[p],m=e[h][p];if(m!=null&&m>=0&&f!==m)throw new M("Error when checking "+r+": expected "+t[h]+" "+("to have shape ["+e[h]+"], but got array with shape ")+("["+d.shape+"]."))}}return o}function x3(n,t,e){var i=hi(n.map(function(a){return a.shape[0]}));i.sort();var r=hi(t.map(function(a){return a.shape[0]}));if(r.sort(),i.length>1)throw new M("All input Tensors (x) should have the same number of samples. Got array shapes: "+(""+JSON.stringify(n.map(function(a){return a.shape}))));if(r.length>1)throw new M("All target Tensors (y) should have the same number of samples. Got array shapes: "+(""+JSON.stringify(t.map(function(a){return a.shape}))));if(i.length>0&&r.length>0&&!y.util.arraysEqual(i,r))throw new M("Input Tensors should have the same number of samples as target "+("Tensors. Found "+i[0]+" input sample(s) and "+r[0]+" target ")+"sample(s).")}function C3(n,t,e){for(var i=[Xi,fo,_a],r=0;r<n.length;++r){var a=n[r],s=t[r],o=e[r];if(s==null)continue;if(s===_a&&a.shape[a.shape.length-1]===1)throw new M("You are passing a target array of shape "+a.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(i.indexOf(s)!==-1)for(var l=a.shape.slice(1),u=o.slice(1),c=0;c<l.length;++c){var h=l[c],d=u[c];if(d!=null&&h!==d)throw new M("A target Tensor with shape "+a.shape+" was passed for an "+("output of shape "+o+", while using a loss function that ")+"expects targets to have the same shape as the output.")}}}function Ay(n,t,e,i,r){i===void 0&&(i=!0),r===void 0&&(r="");var a;if(Array.isArray(n)){if(n.length!==t.length)throw new M("Error when checking model "+r+": the Array of Tensors that you are passing to your model is not the size the "+("the model expected. Expected to see "+t.length+" Tensor(s),")+(" but instead got "+n.length+" Tensors(s)."));a=n}else{if(t.length>1)throw new M("The model expects "+t.length+" "+r+" Tensors, but only received one Tensor. Found: array with shape "+(JSON.stringify(n.shape)+"."));a=[n]}if(e!=null)for(var s=0;s<t.length;++s){if(e[s]==null)continue;var o=a[s];if(o.shape.length!==e[s].length)throw new M("Error when checking "+r+": expected "+t[s]+" "+("to have "+e[s].length+" dimension(s), but got array with ")+("shape "+JSON.stringify(o.shape)));for(var l=0;l<e[s].length;++l){if(l===0&&!i)continue;var u=o.shape[l],c=e[s][l];if(c!=null&&c!==u)throw new M("Error when checking "+r+": expected "+(t[s]+" to have shape "+JSON.stringify(e[s])+" but ")+("got array with shape "+JSON.stringify(o.shape)+"."))}}}function R3(n,t){if(n==null||Array.isArray(n)&&n.length===0)return t.map(function(l){return[]});var e;if(typeof n=="string"||typeof n=="function")e=[n];else if(Array.isArray(n)||typeof n=="object")e=n;else throw new TypeError("Type of metrics argument not understood. Expected an string,"+("function, Array, or Object, found: "+n));if(Array.isArray(e))return t.map(function(l){return e});for(var i=[],r=0,a=t;r<a.length;r++){var s=a[r],o=e.hasOwnProperty(s)?e[s]:[];Array.isArray(o)||(o=[o]),i.push(o)}return i}var O3="layers-model",mi=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.isTraining=!1,i}return t.prototype.summary=function(e,i,r){if(r===void 0&&(r=console.log),!this.built)throw new M("This model has never been called, thus its weights have not been created yet. So no summary can be displayed. Build the model first (e.g., by calling it on some test data).");c3(this,e,i,r)},t.prototype.compile=function(e){var i=this;if(e.loss==null&&(e.loss=[]),this.loss=e.loss,typeof e.optimizer=="string")this.optimizer_=a3(e.optimizer),this.isOptimizerOwned=!0;else{if(!(e.optimizer instanceof y.Optimizer))throw new M("User-defined optimizer must be an instance of tf.Optimizer.");this.optimizer_=e.optimizer,this.isOptimizerOwned=!1}var r=[];if(!Array.isArray(e.loss)&&typeof e.loss!="string"&&typeof e.loss!="function"){e.loss=e.loss;for(var a in e.loss)if(this.outputNames.indexOf(a)===-1)throw new M('Unknown entry in loss dictionary: "'+a+'". '+("Only expected the following keys: "+this.outputNames));for(var s=0,o=this.outputNames;s<o.length;s++){var l=o[s];e.loss[l]==null&&console.warn('Output "'+l+'" is missing from loss dictionary. We assume this was done on purpose, and we will not be expecting data '+("to be passed to "+l+" during training")),r.push(Ih(e.loss[l]))}}else if(Array.isArray(e.loss)){if(e.loss.length!==this.outputs.length)throw new M("When passing an Array as loss, it should have one entry per "+("model output. The model has "+this.outputs.length+" output(s), ")+("but you passed loss="+e.loss+"."));var u=e.loss;r=u.map(function(v){return Ih(v)})}else{var c=Ih(e.loss);this.outputs.forEach(function(v){r.push(c)})}this.lossFunctions=r,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var h=0;h<this.outputs.length;++h){var d=this.internalOutputShapes[h],p=this.outputNames[h];this.feedOutputNames.push(p),this.feedOutputShapes.push(d),this.feedLossFns.push(this.lossFunctions[h])}var f=[];this.metrics=e.metrics,this.metricsNames=["loss"],this.metricsTensors=[],ji("loss",function(){for(var v=0;v<i.outputs.length;++v){if(f.indexOf(v)!==-1)continue;var b=i.lossFunctions[v];i.outputs.length>1&&(i.metricsTensors.push([b,v]),i.metricsNames.push(i.outputNames[v]+"_loss"))}});var m=R3(e.metrics,this.outputNames),g=function(v,b,w){i.outputNames.length>1&&(b=i.outputNames[v]+"_"+b),i.metricsNames.push(b),i.metricsTensors.push([w,v])};ji("metric",function(){for(var v=function(w){if(f.indexOf(w)!==-1)return"continue";var S=m[w],L=function(x){for(var C="",R,D,k,W=function(_){if(typeof _=="string"&&["accuracy","acc","crossentropy","ce"].indexOf(_)!==-1){var K=i.internalOutputShapes[w];K[K.length-1]===1||i.lossFunctions[w]===fo?["accuracy","acc"].indexOf(_)!==-1?D=Ah:["crossentropy","ce"].indexOf(_)!==-1&&(D=ly):i.lossFunctions[w]===po?["accuracy","acc"].indexOf(_)!==-1?D=uy:["crossentropy","ce"].indexOf(_)!==-1&&(D=cy):["accuracy","acc"].indexOf(_)!==-1?D=Th:["crossentropy","ce"].indexOf(_)!==-1&&(D=Nh);var j=void 0;["accuracy","acc"].indexOf(_)!==-1?j="acc":["crossentropy","ce"].indexOf(_)!==-1&&(j="ce"),k=D,R=C+j}else{var q=r3(_);k=q,R=C+vo(_)}var G;ji(R,function(){G=k}),g(w,R,G)},F=0,P=x;F<P.length;F++){var H=P[F];W(H)}};L(S)},b=0;b<i.outputs.length;++b)v(b)}),this.collectedTrainableWeights=this.trainableWeights},t.prototype.checkTrainableWeightsConsistency=function(){if(this.collectedTrainableWeights==null)return;this.trainableWeights.length!==this.collectedTrainableWeights.length&&console.warn("Discrepancy between trainableweights and collected trainable weights. Did you set `model.trainable` without calling `model.compile()` afterwards?")},t.prototype.evaluate=function(e,i,r){r===void 0&&(r={});var a=r.batchSize==null?32:r.batchSize;Eh(a);var s=!0,o=this.standardizeUserDataXY(e,i,s,a);try{var l=o[0].concat(o[1]);this.makeTestFunction();var u=this.testFunction,c=this.testLoop(u,l,a,r.verbose,r.steps);return zt(c)}finally{Ji(o[0],e),Ji(o[1],i)}},t.prototype.evaluateDataset=function(e,i){return Le(this,void 0,void 0,function(){return ye(this,function(r){return this.makeTestFunction(),[2,I3(this,e,i)]})})},t.prototype.checkNumSamples=function(e,i,r,a){a===void 0&&(a="steps");var s;if(r!=null){if(s=null,i!=null)throw new M("If "+a+" is set, batchSize must be null or undefined."+("Got batchSize = "+i))}else if(e!=null)Array.isArray(e)?s=e[0].shape[0]:s=e.shape[0];else throw new M("Either the input data should have a defined shape, or "+(a+" shoud be specified."));return s},t.prototype.execute=function(e,i){if(Array.isArray(i)&&i.length===0)throw new M("`outputs` is an empty Array, which is not allowed.");var r=Array.isArray(i),a=r?i:[i],s=this.retrieveSymbolicTensors(a),o=new Mr;if(e instanceof y.Tensor&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new M("The number of inputs provided ("+e.length+") does not match the number of inputs of this model "+("("+this.inputs.length+")."));for(var l=0;l<this.inputs.length;++l)o.add(this.inputs[l],e[l])}else for(var u=0,c=this.inputs;u<c.length;u++){var h=c[u],d=e[h.name];if(d==null)throw new M("No value is provided for the model's input "+h.name);o.add(h,d)}var p=Ha(s,o);return r?p:p[0]},t.prototype.retrieveSymbolicTensors=function(e){for(var i=Yi(null,e.length),r=e.length,a=0,s=this.layers;a<s.length;a++){for(var o=s[a],l=Array.isArray(o.output)?o.output:[o.output],u=l.map(function(p){return p.name}),c=0;c<e.length;++c){var h=u.indexOf(e[c]);if(h!==-1&&(i[c]=l[h],r--),r===0)break}if(r===0)break}if(r>0){var d=[];throw i.forEach(function(p,f){p==null&&d.push(e[f])}),new M("Cannot find SymbolicTensors for output name(s): "+(""+JSON.stringify(d)))}return i},t.prototype.predictLoop=function(e,i,r){var a=this;return i===void 0&&(i=32),r===void 0&&(r=!1),y.tidy(function(){var s=a.checkNumSamples(e);if(r)throw new Te("Verbose predictLoop() is not implemented yet.");for(var o=kh(s,i),l=a.outputs.map(function(h){return[]}),u=function(h){var d=y.tidy(function(){var p=o[h][0],f=o[h][1],m=Va(e,p,f),g=[];if(Array.isArray(m))for(var v=0;v<m.length;++v)g.push({key:a.inputs[v],value:m[v]});else g.push({key:a.inputs[0],value:m});var b=new Mr(g);return Ha(a.outputs,b)});d.forEach(function(p,f){return l[f].push(p)})},c=0;c<o.length;++c)u(c);return zt(l.map(function(h){return y.concat(h,0)}))})},t.prototype.predict=function(e,i){i===void 0&&(i={});var r=Sy(e);Ay(r,this.inputNames,this.feedInputShapes,!1);try{var a=i.batchSize==null?32:i.batchSize;return Eh(a),this.predictLoop(r,a)}finally{Ji(r,e)}},t.prototype.predictOnBatch=function(e){Ay(e,this.inputNames,this.feedInputShapes,!0);var i=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,i)},t.prototype.standardizeUserDataXY=function(e,i,r,a){if(this.optimizer_==null)throw new Rn("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var s=[],o=0;o<this.feedOutputShapes.length;++o){var l=this.feedOutputShapes[o],u=this.feedLossFns[o];u===po?s.push(l.slice(0,l.length-1).concat([1])):s.push(l)}if(e=Iy(e,this.feedInputNames,this.feedInputShapes,!1,"input"),i=Iy(i,this.feedOutputNames,s,!1,"target"),x3(e,i),C3(i,this.feedLossFns,this.feedOutputShapes),this.stateful&&a!=null&&a>0&&e[0].shape[0]%a!==0)throw new M("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+(a+". Found: "+e[0].shape[0]+" sample(s)."));return[e,i]},t.prototype.standardizeUserData=function(e,i,r,a,s,o){return s===void 0&&(s=!0),Le(this,void 0,void 0,function(){var l,u,c,h,d,p,f,m;return ye(this,function(g){switch(g.label){case 0:if(l=this.standardizeUserDataXY(e,i,s,o),u=l[0],c=l[1],r!=null)throw new Error("sample weight is not supported yet.");if(h=null,!(a!=null))return[3,4];d=gy(a,this.outputNames),h=[],p=0,g.label=1;case 1:return p<d.length?(m=(f=h).push,[4,vy(c[p],null,d[p])]):[3,4];case 2:m.apply(f,[g.sent()]),g.label=3;case 3:return++p,[3,1];case 4:return[2,[u,c,h]]}})})},t.prototype.testLoop=function(e,i,r,a,s){var o=this;return a===void 0&&(a=0),y.tidy(function(){var l=o.checkNumSamples(i,r,s,"steps"),u=[];if(a>0)throw new Te("Verbose mode is not implemented yet.");if(s!=null)throw new Te("steps mode in testLoop() is not implemented yet");for(var c=kh(l,r),h=y.tensor1d(pn(0,l)),d=0;d<c.length;++d){var p=c[d][0],f=c[d][1],m=$i(h,p,f-p),g=Dh(i,m),v=e(g);if(d===0)for(var b=0;b<v.length;++b)u.push(y.scalar(0));for(var b=0;b<v.length;++b){var w=v[b];u[b]=y.add(u[b],y.mul(f-p,w))}}for(var b=0;b<u.length;++b)u[b]=y.div(u[b],l);return u})},t.prototype.getDedupedMetricsNames=function(){for(var e=this.metricsNames,i=[],r=0;r<e.length;++r){var a=e[r],s=a;if(wv(e,a)>1){var o=wv(e.slice(0,r),a);s+="_"+o}i.push(s)}return i},t.prototype.makeTrainFunction=function(){var e=this;return function(i){var r=[],a=i.slice(0,e.inputs.length),s=i.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=i.slice(e.inputs.length+e.outputs.length,e.inputs.length+e.outputs.length*2),l=[],u=function(){for(var p=[],f=0;f<e.inputs.length;++f)p.push({key:e.inputs[f],value:a[f]});for(var m=new Mr(p),g=Ha(e.outputs,m,{training:!0}),v,f=0;f<e.lossFunctions.length;++f){var b=e.lossFunctions[f],w=b(s[f],g[f]);o[f]!=null&&(w=v3(w,o[f]));var S=y.mean(w);r.push(S),f===0?v=w:v=y.add(v,w)}for(var f=0;f<e.metricsTensors.length;++f){var L=void 0;if(e.outputs.length>1&&f<e.outputs.length)L=r[f];else{var x=e.metricsTensors[f][0],C=e.metricsTensors[f][1];L=y.mean(x(s[C],g[C]))}y.keep(L),l.push(L)}return v=y.mean(v),e.calculateLosses().forEach(function(R){v=y.add(v,R)}),v},c=e.collectedTrainableWeights.map(function(p){return p.read()}),h=!0,d=e.optimizer_.minimize(u,h,c);return[d].concat(l)}},t.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(i){return y.tidy(function(){for(var r=[],a,s=i.slice(0,e.inputs.length),o=i.slice(e.inputs.length,e.inputs.length+e.outputs.length),l=[],u=0;u<e.inputs.length;++u)l.push({key:e.inputs[u],value:s[u]});for(var c=new Mr(l),h=Ha(e.outputs,c),u=0;u<e.lossFunctions.length;++u){var d=e.lossFunctions[u],p=y.mean(d(o[u],h[u]));u===0?a=p:a=y.add(a,p),r.push(a)}for(var u=0;u<e.metricsTensors.length;++u){var f=e.metricsTensors[u][0],m=e.metricsTensors[u][1],g=y.mean(f(o[m],h[m]));r.push(g)}return r})}},t.prototype.fit=function(e,i,r){return r===void 0&&(r={}),Le(this,void 0,void 0,function(){return ye(this,function(a){return[2,T3(this,e,i,r)]})})},t.prototype.fitDataset=function(e,i){return Le(this,void 0,void 0,function(){return ye(this,function(r){return[2,S3(this,e,i)]})})},t.prototype.trainOnBatch=function(e,i){return Le(this,void 0,void 0,function(){var r,a,s,o,l,u,c,h,d,p;return ye(this,function(f){switch(f.label){case 0:return[4,this.standardizeUserData(e,i)];case 1:r=f.sent(),a=r[0],s=r[1],o=this.makeTrainFunction(),l=o(a.concat(s)),u=[],c=0,h=l,f.label=2;case 2:return c<h.length?(d=h[c],[4,d.data()]):[3,5];case 3:p=f.sent(),u.push(p[0]),f.label=4;case 4:return c++,[3,2];case 5:return y.dispose(l),[2,zt(u)]}})})},t.prototype.getNamedWeights=function(e){for(var i=[],r=e!=null&&e.trainableOnly,a=r?this.trainableWeights:this.weights,s=this.getWeights(r),o=0;o<a.length;++o){if(r&&!a[o].trainable)continue;i.push({name:a[o].originalName,tensor:s[o]})}return i},Object.defineProperty(t.prototype,"stopTraining",{get:function(){return this.stopTraining_},set:function(e){this.stopTraining_=e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var e=n.prototype.dispose.call(this);if(e.refCountAfterDispose===0&&this.optimizer!=null&&this.isOptimizerOwned){var i=y.memory().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=i-y.memory().numTensors}return e},t.prototype.getLossIdentifiers=function(){var e;if(typeof this.loss=="string")e=Yn(this.loss);else if(Array.isArray(this.loss)){for(var i=0,r=this.loss;i<r.length;i++){var a=r[i];if(typeof a!="string")throw new Error("Serialization of non-string loss is not supported.")}e=this.loss.map(function(h){return Yn(h)})}else{var s=Object.keys(this.loss);e={};for(var o=this.loss,l=0,u=s;l<u.length;l++){var c=u[l];if(typeof o[c]=="string")e[c]=Yn(o[c]);else throw new Error("Serialization of non-string loss is not supported.")}}return e},t.prototype.getMetricIdentifiers=function(){if(typeof this.metrics=="string"||typeof this.metrics=="function")return[Yn(vo(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(r){return Yn(vo(r))});var e={};for(var i in this.metrics)e[i]=Yn(vo(this.metrics[i]));return e},t.prototype.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},t.prototype.loadTrainingConfig=function(e){if(e.weighted_metrics!=null)throw new Error("Loading weight_metrics is not supported yet.");if(e.loss_weights!=null)throw new Error("Loading loss_weights is not supported yet.");if(e.sample_weight_mode!=null)throw new Error("Loading sample_weight_mode is not supported yet.");var i=Ma(e.optimizer_config),r=mn(i),a;if(typeof e.loss=="string")a=Ki(e.loss);else if(Array.isArray(e.loss))a=e.loss.map(function(l){return Ki(l)});else if(e.loss!=null){a={};for(var s in e.loss)a[s]=Ki(e.loss[s])}var o;if(Array.isArray(e.metrics))o=e.metrics.map(function(l){return Ki(l)});else if(e.metrics!=null){o={};for(var s in e.metrics)o[s]=Ki(e.metrics[s])}this.compile({loss:a,metrics:o,optimizer:r})},t.prototype.save=function(e,i){return Le(this,void 0,void 0,function(){var r,a,s,o,l,u,c,h,d,p,f,m,g,v,b;return ye(this,function(w){switch(w.label){case 0:if(typeof e=="string"){if(r=y.io.getSaveHandlers(e),r.length===0)throw new M("Cannot find any save handlers for URL '"+e+"'");if(r.length>1)throw new M("Found more than one ("+r.length+") save handlers for "+("URL '"+e+"'"));e=r[0]}if(e.save==null)throw new M("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,y.io.encodeWeights(this.getNamedWeights(i))];case 1:return a=w.sent(),s=!1,o=null,l=this.toJSON(o,s),u={modelTopology:l,format:O3,generatedBy:"TensorFlow.js tfjs-layers v"+Rh,convertedBy:null},c=i==null?!1:i.includeOptimizer,c&&this.optimizer!=null?(u.trainingConfig=this.getTrainingConfig(),h="optimizer",g=(m=y.io).encodeWeights,[4,this.optimizer.getWeights()]):[3,4];case 2:return[4,g.apply(m,[w.sent(),h])];case 3:d=w.sent(),p=d.data,f=d.specs,(b=a.specs).push.apply(b,f),a.data=y.io.concatenateArrayBuffers([a.data,p]),w.label=4;case 4:return this.userDefinedMetadata!=null&&(v=!0,dy(this.userDefinedMetadata,this.name,v),u.userDefinedMetadata=this.userDefinedMetadata),u.weightData=a.data,u.weightSpecs=a.specs,[2,e.save(u)]}})})},t.prototype.setUserDefinedMetadata=function(e){dy(e,this.name),this.userDefinedMetadata=e},t.prototype.getUserDefinedMetadata=function(){return this.userDefinedMetadata},t.className="Model",t}(m3);y.serialization.registerClass(mi);var E3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.className="Functional",t}(mi);y.serialization.registerClass(E3);function D3(n,t){return Le(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u;return ye(this,function(c){switch(c.label){case 0:return"modelTopology"in n||(n={modelTopology:n}),n=n,e=n.modelTopology,e.model_config!=null&&(e=e.model_config),i=Ma(e),r=mn(i,t),n.weightsManifest!=null?[4,y.io.loadWeights(n.weightsManifest,n.pathPrefix,r.weights.map(function(h){return h.originalName}))]:[3,2];case 1:for(a=c.sent(),s={},o=0,l=r.weights;o<l.length;o++)u=l[o],s[u.originalName]=a[u.originalName];r.loadWeights(s),y.dispose(a),c.label=2;case 2:return[2,r]}})})}function F3(n,t){return Le(this,void 0,void 0,function(){var e;return ye(this,function(i){if(t==null&&(t={}),typeof n=="string"){if(e=y.io.getLoadHandlers(n,t),e.length===0)e.push(y.io.browserHTTPRequest(n,t));else if(e.length>1)throw new M("Found more than one ("+e.length+") load handlers for "+("URL '"+n+"'"));n=e[0]}return[2,k3(n,void 0,t)]})})}function k3(n,t,e){return Le(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h;return ye(this,function(d){switch(d.label){case 0:if(e==null&&(e={}),n.load==null)throw new M("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,n.load()];case 1:if(i=d.sent(),r=i.modelTopology,r.model_config!=null&&(r=r.model_config),a=e.strict==null?!0:e.strict,s=i.weightData!=null&&i.weightSpecs!=null&&a,o=mn(Ma(r),t,s),l=i.trainingConfig,l!=null&&o.loadTrainingConfig(l),i.userDefinedMetadata!=null&&o.setUserDefinedMetadata(i.userDefinedMetadata),!(i.weightData!=null))return[3,4];if(i.weightSpecs==null)throw new M("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");return u=W3(i.weightData,i.weightSpecs),c=u.modelWeights,h=u.optimizerWeights,o.loadWeights(c,a),o.optimizer!=null&&h.length>0?[4,o.optimizer.setWeights(h)]:[3,3];case 2:d.sent(),d.label=3;case 3:y.dispose(c),y.dispose(h.map(function(p){return p.tensor})),d.label=4;case 4:return[2,o]}})})}function W3(n,t){var e=y.io.decodeWeights(n,t),i={},r=[];return t.forEach(function(a){a.group==="optimizer"?r.push({name:a.name,tensor:e[a.name]}):i[a.name]=e[a.name]}),{modelWeights:i,optimizerWeights:r}}var Wh=function(n){Q(t,n);function t(e){var i=n.call(this,{inputs:[],outputs:[]})||this;if(e=e||{},i.trainable=!0,i.built=!1,i.name=e.name!=null?e.name:so("sequential_"),e.layers!=null)for(var r=0,a=e.layers;r<a.length;r++){var s=a[r];i.add(s)}return i}return t.prototype.checkShape=function(e){var i=e.inboundNodes[0].outputTensors[0].shape;if(i.some(function(r){return r<0}))throw new M("Negative dimension size caused by adding layer "+(e.name+" with input shape [")+(e.inboundNodes[0].inputTensors[0].shape+"]"))},t.prototype.add=function(e){var i=e instanceof t||e instanceof mi,r;if(i){if(r=e,r.outputs.length!==1)throw new M("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(r.inputs.length!==1)throw new M("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(this.outputs.length===0){if(e.inboundNodes.length===0){if(e.batchInputShape==null)throw new M("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var a=Jv({batchShape:e.batchInputShape,dtype:e.dtype,name:e.name+"_input"});e.apply(a)}if(i)this.outputs=r.outputs,this.inputs=r.inputs;else{if(e.inboundNodes.length!==1)throw new M("A layer added to a Sequential model must not already be "+("connected somewhere else. LayersModel received layer "+e.name+" ")+("which has "+e.inboundNodes.length+" pre-existing inbound ")+"connections.");if(e.inboundNodes[0].outputTensors.length!==1)throw new M("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[e.inboundNodes[0].outputTensors[0]],this.inputs=Xv(this.outputs[0])}this.inboundNodes=[],new uo({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:Yi(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(o){return o.shape}),outputShapes:this.outputs[0].shape})}else{var s=e.apply(this.outputs[0]);if(Array.isArray(s))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(e),this.outputs=[s],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(e),this.built=!1},t.prototype.pop=function(){if(this.layers.length===0)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),this.layers.length===0)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var e=this.layers.length-1;this.layers[e].outboundNodes=[],this.outputs=[this.layers[e].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},t.prototype.call=function(e,i){return this.model==null&&this.build(),this.model.call(e,i)},t.prototype.build=function(e){if(Ye(e),this.inputs.length===0||this.outputs.length===0)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new mi({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},t.prototype.countParams=function(){return this.built||this.build(),n.prototype.countParams.call(this)},t.prototype.summary=function(e,i,r){r===void 0&&(r=console.log),this.built||this.build(),n.prototype.summary.call(this,e,i,r)},t.prototype.setWeights=function(e){this.model==null&&this.build(),this.model.setWeights(e)},t.prototype.evaluate=function(e,i,r){if(r===void 0&&(r={}),!this.built)throw new Rn("The model needs to be compiled before being used.");return this.model.evaluate(e,i,r)},t.prototype.evaluateDataset=function(e,i){return Le(this,void 0,void 0,function(){return ye(this,function(r){if(!this.built)throw new Rn("The model needs to be compiled before being used.");return[2,this.model.evaluateDataset(e,i)]})})},t.prototype.predict=function(e,i){return i===void 0&&(i={}),this.model==null&&this.build(),this.model.predict(e,i)},t.prototype.predictOnBatch=function(e){return this.model==null&&this.build(),this.model.predictOnBatch(e)},t.prototype.compile=function(e){this.build(),this.model.compile(e),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},Object.defineProperty(t.prototype,"optimizer",{get:function(){return this.model==null?void 0:this.model.optimizer},set:function(e){this.model.optimizer=e},enumerable:!0,configurable:!0}),t.prototype.fit=function(e,i,r){return r===void 0&&(r={}),Le(this,void 0,void 0,function(){return ye(this,function(a){if(!this.built)throw new Rn("The model needs to be compiled before being used.");return[2,this.model.fit(e,i,r)]})})},t.prototype.fitDataset=function(e,i){return Le(this,void 0,void 0,function(){return ye(this,function(r){if(!this.built)throw new Rn("The model needs to be compiled before being used.");return[2,this.model.fitDataset(e,i)]})})},t.prototype.trainOnBatch=function(e,i){return Le(this,void 0,void 0,function(){return ye(this,function(r){return[2,this.model.trainOnBatch(e,i)]})})},t.fromConfig=function(e,i,r,a){a===void 0&&(a=!1);var s,o={};if(i instanceof Array){if(!(i[0].className!=null)||i[0].className==="Merge")throw new M("Legacy serialization format not supported yet.");s=i}else y.util.assert(i.layers!=null,function(){return"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."}),s=i.layers,delete i.layers,o=i;var l=new e(o);if(!(l instanceof t))throw new Te("Sequential.fromConfig called on non-Sequential input: "+l);for(var u=0,c=s;u<c.length;u++){var h=c[u],d=void 0,p=mn(h,d,a);a&&p.setFastWeightInitDuringBuild(!0),l.add(p)}return l},Object.defineProperty(t.prototype,"stopTraining",{get:function(){if(this.model==null)throw new M("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining},set:function(e){if(this.model==null)throw new M("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=e},enumerable:!0,configurable:!0}),t.prototype.getConfig=function(){for(var e=[],i=0,r=this.layers;i<r.length;i++){var a=r[i],s={};s.className=a.getClassName(),s.config=a.getConfig(),e.push(s)}return{name:this.name,layers:e}},t.className="Sequential",t}(mi);y.serialization.registerClass(Wh);function U3(n){return new mi(n)}function B3(n){return new Wh(n)}function z3(n,t){return t==null&&(t={}),F3(n,t)}function Ty(n){return Jv(n)}function P3(n,t){ry.registerCallbackConstructor(n,t)}var Gt=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.getConfig=function(){return{}},t}(y.serialization.Serializable),_3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e,i){return i===void 0&&(i=1),lk(e,i)},t.className="elu",t}(Gt);y.serialization.registerClass(_3);var M3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return y.selu(e)},t.className="selu",t}(Gt);y.serialization.registerClass(M3);var H3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return y.relu(e)},t.className="relu",t}(Gt);y.serialization.registerClass(H3);var V3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return y.tidy(function(){return y.minimum(6,y.relu(e))})},t.className="relu6",t}(Gt);y.serialization.registerClass(V3);var q3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return e},t.className="linear",t}(Gt);y.serialization.registerClass(q3);var G3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return y.sigmoid(e)},t.className="sigmoid",t}(Gt);y.serialization.registerClass(G3);var Y3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return ck(e)},t.className="hardSigmoid",t}(Gt);y.serialization.registerClass(Y3);var K3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return y.softplus(e)},t.className="softplus",t}(Gt);y.serialization.registerClass(K3);var j3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return uk(e)},t.className="softsign",t}(Gt);y.serialization.registerClass(j3);var $3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e){return y.tanh(e)},t.className="tanh",t}(Gt);y.serialization.registerClass($3);var Ny=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e,i){return i===void 0&&(i=-1),y.softmax(e,i)},t.className="softmax",t}(Gt);y.serialization.registerClass(Ny);var X3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e,i){return i===void 0&&(i=-1),y.logSoftmax(e,i)},t.className="logSoftmax",t}(Gt);y.serialization.registerClass(X3);var J3=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.apply=function(e,i){return i===void 0&&(i=1),y.tidy(function(){return y.sigmoid(e.mul(i)).mul(e)})},t.className="swish",t}(Gt);y.serialization.registerClass(J3);function gi(n){return n.getClassName()}function Uh(n,t){return t===void 0&&(t={}),Da(n,y.serialization.SerializationMap.getMap().classNameMap,t,"activation")}function vi(n){if(n==null){var t={};return t.className="linear",t.config={},Uh(t)}if(typeof n=="string"){var t={};return t.className=n,t.config={},Uh(t)}else return n instanceof Gt?n:Uh(n)}function Bh(n){if(n!=null&&typeof n!="object")throw new Error("Argument to L1L2 regularizer's constructor is expected to be an "+("object, but received: "+n))}var xy=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(y.serialization.Serializable),bo=function(n){Q(t,n);function t(e){var i=n.call(this)||this;return Bh(e),i.l1=e==null||e.l1==null?.01:e.l1,i.l2=e==null||e.l2==null?.01:e.l2,i.hasL1=i.l1!==0,i.hasL2=i.l2!==0,i}return t.prototype.apply=function(e){var i=this;return y.tidy(function(){var r=y.zeros([1]);return i.hasL1&&(r=y.add(r,y.sum(y.mul(i.l1,y.abs(e))))),i.hasL2&&(r=y.add(r,y.sum(y.mul(i.l2,Ba(e))))),r.asScalar()})},t.prototype.getConfig=function(){return{l1:this.l1,l2:this.l2}},t.fromConfig=function(e,i){return new e({l1:i.l1,l2:i.l2})},t.className="L1L2",t}(xy);y.serialization.registerClass(bo);function Z3(n){return Bh(n),new bo({l1:n!=null?n.l1:null,l2:0})}function Q3(n){return Bh(n),new bo({l2:n!=null?n.l2:null,l1:0})}var Cy={l1l2:"L1L2"};function Ke(n){return rh(n)}function Ry(n,t){return t===void 0&&(t={}),Da(n,y.serialization.SerializationMap.getMap().classNameMap,t,"regularizer")}function tt(n){if(n==null)return null;if(typeof n=="string"){var t=n in Cy?Cy[n]:n,e={className:t,config:{}};return Ry(e)}else return n instanceof xy?n:Ry(n)}var Oy=function(n){Q(t,n);function t(e){var i=n.call(this,e??{})||this;return i.supportsMasking=!0,e!=null&&(i.maxValue=e.maxValue),i}return t.prototype.call=function(e,i){e=xe(e);var r=y.relu(e);return this.maxValue!=null&&(r=y.clipByValue(r,0,this.maxValue)),r},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e={maxValue:this.maxValue},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="ReLU",t}(De);y.serialization.registerClass(Oy);var Ey=function(n){Q(t,n);function t(e){var i=n.call(this,e??{})||this;return i.DEFAULT_ALPHA=.3,e==null&&(e={}),i.alpha=e.alpha==null?i.DEFAULT_ALPHA:e.alpha,i}return t.prototype.call=function(e,i){var r=xe(e);return y.leakyRelu(r,this.alpha)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e={alpha:this.alpha},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="LeakyReLU",t}(De);y.serialization.registerClass(Ey);var Dy=function(n){Q(t,n);function t(e){var i=n.call(this,e??{})||this;if(i.DEFAULT_ALPHA_INITIALIZER="zeros",e==null&&(e={}),i.supportsMasking=!0,i.alphaInitializer=et(e.alphaInitializer||i.DEFAULT_ALPHA_INITIALIZER),i.alphaRegularizer=tt(e.alphaRegularizer),i.alphaConstraint=yt(e.alphaConstraint),e.sharedAxes==null)i.sharedAxes=null;else if(Array.isArray(e.sharedAxes))i.sharedAxes=e.sharedAxes;else if(typeof e.sharedAxes=="number")i.sharedAxes=[e.sharedAxes];else throw new M("Expected sharedAxes to be a number or an array of numbers, "+("but got "+e.sharedAxes));return i}return t.prototype.build=function(e){e=Ye(e);var i=e.slice(1);if(this.sharedAxes!=null)for(var r=0,a=this.sharedAxes;r<a.length;r++){var s=a[r];i[s-1]=1}this.alpha=this.addWeight("alpha",i,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var o={};if(this.sharedAxes!=null)for(var s=1;s<e.length;++s)o[s]=e[s];this.inputSpec=[new At({ndim:e.length,axes:o})],this.built=!0},t.prototype.call=function(e,i){return e=xe(e),y.prelu(e,this.alpha.read())},t.prototype.getConfig=function(){var e={alphaInitializer:at(this.alphaInitializer),alphaRegularizer:Ke(this.alphaRegularizer),alphaConstraint:vt(this.alphaConstraint),sharedAxes:this.sharedAxes},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="PReLU",t}(De);y.serialization.registerClass(Dy);var ky=function(n){Q(t,n);function t(e){var i=n.call(this,e??{})||this;if(i.DEFAULT_ALPHA=1,e==null&&(e={}),e.alpha!=null&&e.alpha!==i.DEFAULT_ALPHA)throw new Te("Non-default alpha value ("+e.alpha+") is not supported by the ELU layer yet.");return i.alpha=e.alpha==null?i.DEFAULT_ALPHA:e.alpha,i}return t.prototype.call=function(e,i){var r=xe(e);return y.elu(r)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e={alpha:this.alpha},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="ELU",t}(De);y.serialization.registerClass(ky);var Fy=function(n){Q(t,n);function t(e){var i=n.call(this,e??{})||this;return i.DEFAULT_THETA=1,e==null&&(e={}),i.theta=e.theta==null?i.DEFAULT_THETA:e.theta,i}return t.prototype.call=function(e,i){var r=xe(e);return r.mul(Wa(r.greater(this.theta),"float32"))},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e={theta:this.theta},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="ThresholdedReLU",t}(De);y.serialization.registerClass(Fy);var Wy=function(n){Q(t,n);function t(e){var i=n.call(this,e??{})||this;return i.DEFAULT_AXIS=1,e==null&&(e={}),i.softmax=new Ny().apply,i.axis=e.axis==null?i.DEFAULT_AXIS:e.axis,i}return t.prototype.call=function(e,i){var r=xe(e);return this.softmax(r,this.axis)},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e={axis:this.axis},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Softmax",t}(De);y.serialization.registerClass(Wy);function Hr(n,t,e){if(typeof n=="number")return Yi(n,t);if(n.length!==t)throw new M("The "+e+" argument must be an integer or tuple of "+t+" integers."+(" Received: "+n.length+" elements."));for(var i=0;i<t;++i){var r=n[i];if(!rk(r))throw new M("The "+e+" argument must be an integer or tuple of "+t+(" integers. Received: "+JSON.stringify(n)+" including a")+(" non-integer number "+r))}return n}function gn(n,t,e,i,r){if(r===void 0&&(r=1),n==null)return n;var a=t+(t-1)*(r-1),s;return e==="same"?s=n:s=n-a+1,Math.floor((s+i-1)/i)}function wo(n,t,e,i){if(n==null)return null;if(i==="valid")n=n*t+pi([e-t,0]);else if(i==="same")n=n*t;else throw new M("Unsupport padding mode: "+i+".");return n}function zh(n,t){return y.tidy(function(){return ut(t),t==="channelsFirst"?y.transpose(n,[0,2,3,1]):n})}function Uy(n,t){return y.tidy(function(){return ut(t),t==="channelsFirst"?y.transpose(n,[0,2,3,4,1]):n})}function e4(n,t,e,i,r,a,s){return i===void 0&&(i=1),r===void 0&&(r="valid"),s===void 0&&(s=1),y.tidy(function(){if(a==null&&(a=dn()),ut(a),n.shape.length!==3)throw new M("The input of a conv1dWithBias operation should be 3, but is "+(n.shape.length+" instead."));if(t.shape.length!==3)throw new M("The kernel for a conv1dWithBias operation should be 3, but is "+(t.shape.length+" instead"));if(e!=null&&e.shape.length!==1)throw new M("The bias for a conv1dWithBias operation should be 1, but is "+(t.shape.length+" instead"));if(a==="channelsFirst"&&(n=y.transpose(n,[0,2,1])),r==="causal")throw new Te("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var o=y.conv1d(n,t,i,r==="same"?"same":"valid","NWC",s);return e!=null&&(o=Dn(o,e)),o})}function By(n,t,e,i,r,a,s,o){return i===void 0&&(i=[1,1]),r===void 0&&(r="valid"),o===void 0&&(o=null),y.tidy(function(){if(a==null&&(a=dn()),ut(a),n.rank!==3&&n.rank!==4)throw new M("conv2dWithBiasActivation expects input to be of rank 3 or 4, "+("but received "+n.rank+"."));if(t.rank!==3&&t.rank!==4)throw new M("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, "+("but received "+n.rank+"."));var l=zh(n,a);if(r==="causal")throw new Te("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return l=y.fused.conv2d({x:l,filter:t,strides:i,pad:r==="same"?"same":"valid",dilations:s,dataFormat:"NHWC",bias:e,activation:o}),a==="channelsFirst"&&(l=y.transpose(l,[0,3,1,2])),l})}function t4(n,t,e,i,r,a,s){return i===void 0&&(i=[1,1,1]),r===void 0&&(r="valid"),y.tidy(function(){if(a==null&&(a=dn()),ut(a),n.rank!==4&&n.rank!==5)throw new M("conv3dWithBias expects input to be of rank 4 or 5, but received "+(n.rank+"."));if(t.rank!==4&&t.rank!==5)throw new M("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+(n.rank+"."));var o=Uy(n,a);if(r==="causal")throw new Te("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return o=y.conv3d(o,t,i,r==="same"?"same":"valid","NDHWC",s),e!=null&&(o=Dn(o,e)),a==="channelsFirst"&&(o=y.transpose(o,[0,4,1,2,3])),o})}var zy=function(n){Q(t,n);function t(e,i){var r=n.call(this,i)||this;if(r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",t.verifyArgs(i),r.rank=e,It(r.rank,"rank"),r.rank!==1&&r.rank!==2&&r.rank!==3)throw new Te("Convolution layer for rank other than 1, 2, or 3 ("+r.rank+") is not implemented yet.");if(r.kernelSize=Hr(i.kernelSize,e,"kernelSize"),r.strides=Hr(i.strides==null?1:i.strides,e,"strides"),r.padding=i.padding==null?"valid":i.padding,Qt(r.padding),r.dataFormat=i.dataFormat==null?"channelsLast":i.dataFormat,ut(r.dataFormat),r.activation=vi(i.activation),r.useBias=i.useBias==null?!0:i.useBias,r.biasInitializer=et(i.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.biasConstraint=yt(i.biasConstraint),r.biasRegularizer=tt(i.biasRegularizer),r.activityRegularizer=tt(i.activityRegularizer),r.dilationRate=Hr(i.dilationRate==null?1:i.dilationRate,e,"dilationRate"),r.rank===1&&Array.isArray(r.dilationRate)&&r.dilationRate.length!==1)throw new M("dilationRate must be a number or an array of a single number for 1D convolution, but received "+(""+JSON.stringify(r.dilationRate)));if(r.rank===2){if(typeof r.dilationRate=="number")r.dilationRate=[r.dilationRate,r.dilationRate];else if(r.dilationRate.length!==2)throw new M("dilationRate must be a number or array of two numbers for 2D "+("convolution, but received "+JSON.stringify(r.dilationRate)))}else if(r.rank===3){if(typeof r.dilationRate=="number")r.dilationRate=[r.dilationRate,r.dilationRate,r.dilationRate];else if(r.dilationRate.length!==3)throw new M("dilationRate must be a number or array of three numbers for 3D "+("convolution, but received "+JSON.stringify(r.dilationRate)))}return r}return t.verifyArgs=function(e){if(On("kernelSize"in e,"required key 'kernelSize' not in config"),typeof e.kernelSize!="number"&&!sh(e.kernelSize,"number",1,3))throw new M("BaseConv expects config.kernelSize to be number or number[] with "+("length 1, 2, or 3, but received "+JSON.stringify(e.kernelSize)+"."))},t.prototype.getConfig=function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:gi(this.activation),useBias:this.useBias,biasInitializer:at(this.biasInitializer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),biasConstraint:vt(this.biasConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t}(De),So=function(n){Q(t,n);function t(e,i){var r=n.call(this,e,i)||this;return r.kernel=null,t.verifyArgs(i),r.filters=i.filters,It(r.filters,"filters"),r.kernelInitializer=et(i.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.kernelConstraint=yt(i.kernelConstraint),r.kernelRegularizer=tt(i.kernelRegularizer),r}return t.prototype.build=function(e){var i;e=Ye(e);var r=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[r]==null)throw new M("The channel dimension of the input should be defined. "+("Found "+e[r]));var a=e[r],s=this.kernelSize.concat([a,this.filters]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(i={},i[r]=a,i)}],this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=xe(e);var a,s=r.bias==null?null:r.bias.read(),o=Lv(r.activation.getClassName());if(o!=null&&r.rank===2)a=By(e,r.kernel.read(),s,r.strides,r.padding,r.dataFormat,r.dilationRate,o);else{if(r.rank===1)a=e4(e,r.kernel.read(),s,r.strides[0],r.padding,r.dataFormat,r.dilationRate[0]);else if(r.rank===2)a=By(e,r.kernel.read(),s,r.strides,r.padding,r.dataFormat,r.dilationRate);else if(r.rank===3)a=t4(e,r.kernel.read(),s,r.strides,r.padding,r.dataFormat,r.dilationRate);else throw new Te("convolutions greater than 3D are not implemented yet.");r.activation!=null&&(a=r.activation.apply(a))}return a})},t.prototype.computeOutputShape=function(e){e=Ye(e);for(var i=[],r=this.dataFormat==="channelsLast"?e.slice(1,e.length-1):e.slice(2),a=0;a<r.length;++a){var s=gn(r[a],this.kernelSize[a],this.padding,this.strides[a],typeof this.dilationRate=="number"?this.dilationRate:this.dilationRate[a]);i.push(s)}var o=[e[0]];return this.dataFormat==="channelsLast"?(o=o.concat(i),o.push(this.filters)):(o.push(this.filters),o=o.concat(i)),o},t.prototype.getConfig=function(){var e={filters:this.filters,kernelInitializer:at(this.kernelInitializer),kernelRegularizer:Ke(this.kernelRegularizer),kernelConstraint:vt(this.kernelConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.verifyArgs=function(e){if(!("filters"in e)||typeof e.filters!="number"||e.filters<1)throw new M("Convolution layer expected config.filters to be a 'number' > 0 "+("but got "+JSON.stringify(e.filters)))},t}(zy),Ph=function(n){Q(t,n);function t(e){var i=n.call(this,2,e)||this;return t.verifyArgs(e),i}return t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,e},t.verifyArgs=function(e){if(typeof e.kernelSize!="number"&&!sh(e.kernelSize,"number",1,2))throw new M("Conv2D expects config.kernelSize to be number or number[] with "+("length 1 or 2, but received "+JSON.stringify(e.kernelSize)+"."))},t.className="Conv2D",t}(So);y.serialization.registerClass(Ph);var Py=function(n){Q(t,n);function t(e){var i=n.call(this,3,e)||this;return t.verifyArgs(e),i}return t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,e},t.verifyArgs=function(e){if(typeof e.kernelSize!="number"&&!(Array.isArray(e.kernelSize)&&(e.kernelSize.length===1||e.kernelSize.length===3)))throw new M("Conv3D expects config.kernelSize to be number or"+(" [number, number, number], but received "+JSON.stringify(e.kernelSize)+"."))},t.className="Conv3D",t}(So);y.serialization.registerClass(Py);var _y=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;if(i.inputSpec=[new At({ndim:4})],i.padding!=="same"&&i.padding!=="valid")throw new M("Conv2DTranspose currently supports only padding modes 'same' "+("and 'valid', but received padding mode "+i.padding));return i}return t.prototype.build=function(e){var i;if(e=Ye(e),e.length!==4)throw new M("Input should have rank 4; Received input shape: "+JSON.stringify(e));var r=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[r]==null)throw new M("The channel dimension of the inputs should be defined. Found `None`.");var a=e[r],s=this.kernelSize.concat([this.filters,a]);this.kernel=this.addWeight("kernel",s,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new At({ndim:4,axes:(i={},i[r]=a,i)})],this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=xe(e);if(a.shape.length!==4)throw new M("Conv2DTranspose.call() expects input tensor to be rank-4, but "+("received a tensor of rank-"+a.shape.length));var s=a.shape,o=s[0],l,u;r.dataFormat==="channelsFirst"?(l=2,u=3):(l=1,u=2);var c=s[l],h=s[u],d=r.kernelSize[0],p=r.kernelSize[1],f=r.strides[0],m=r.strides[1],g=wo(c,f,d,r.padding),v=wo(h,m,p,r.padding),b=[o,g,v,r.filters];r.dataFormat!=="channelsLast"&&(a=y.transpose(a,[0,2,3,1]));var w=y.conv2dTranspose(a,r.kernel.read(),b,r.strides,r.padding);return r.dataFormat!=="channelsLast"&&(w=y.transpose(w,[0,3,1,2])),r.bias!=null&&(w=Dn(w,r.bias.read(),r.dataFormat)),r.activation!=null&&(w=r.activation.apply(w)),w})},t.prototype.computeOutputShape=function(e){e=Ye(e);var i=e.slice(),r,a,s;this.dataFormat==="channelsFirst"?(r=1,a=2,s=3):(r=3,a=1,s=2);var o=this.kernelSize[0],l=this.kernelSize[1],u=this.strides[0],c=this.strides[1];return i[r]=this.filters,i[a]=wo(i[a],u,o,this.padding),i[s]=wo(i[s],c,l,this.padding),i},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.dilationRate,e},t.className="Conv2DTranspose",t}(Ph);y.serialization.registerClass(_y);var n4=function(n){Q(t,n);function t(e,i){var r=n.call(this,e,i)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,i.filters==null)throw new M("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(i.kernelInitializer!=null||i.kernelRegularizer!=null||i.kernelConstraint!=null)throw new M("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(i.padding!=null&&i.padding!=="same"&&i.padding!=="valid")throw new M("SeparableConv"+r.rank+"D supports only padding modes: "+("'same' and 'valid', but received "+JSON.stringify(i.padding)));return r.depthMultiplier=i.depthMultiplier==null?1:i.depthMultiplier,r.depthwiseInitializer=et(i.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=tt(i.depthwiseRegularizer),r.depthwiseConstraint=yt(i.depthwiseConstraint),r.pointwiseInitializer=et(i.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=tt(i.pointwiseRegularizer),r.pointwiseConstraint=yt(i.pointwiseConstraint),r}return t.prototype.build=function(e){var i;if(e=Ye(e),e.length<this.rank+2)throw new M("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2+", but received input shape: ")+(""+JSON.stringify(e)));var r=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[r]==null||e[r]<0)throw new M("The channel dimension of the inputs should be defined, "+("but found "+JSON.stringify(e[r])));for(var a=e[r],s=this.kernelSize.concat([a,this.depthMultiplier]),o=[],l=0;l<this.rank;++l)o.push(1);o.push(a*this.depthMultiplier,this.filters);var u=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",s,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,u,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",o,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,u,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,u,this.biasConstraint):this.bias=null,this.inputSpec=[new At({ndim:this.rank+2,axes:(i={},i[r]=a,i)})],this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=xe(e);var a;if(r.rank===1)throw new Te("1D separable convolution is not implemented yet.");return r.rank===2&&(r.dataFormat==="channelsFirst"&&(e=y.transpose(e,[0,2,3,1])),a=y.separableConv2d(e,r.depthwiseKernel.read(),r.pointwiseKernel.read(),r.strides,r.padding,r.dilationRate,"NHWC")),r.useBias&&(a=Dn(a,r.bias.read(),r.dataFormat)),r.activation!=null&&(a=r.activation.apply(a)),r.dataFormat==="channelsFirst"&&(a=y.transpose(a,[0,3,1,2])),a})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=at(this.depthwiseInitializer),e.pointwiseInitializer=at(this.pointwiseInitializer),e.depthwiseRegularizer=Ke(this.depthwiseRegularizer),e.pointwiseRegularizer=Ke(this.pointwiseRegularizer),e.depthwiseConstraint=vt(this.depthwiseConstraint),e.pointwiseConstraint=vt(this.pointwiseConstraint),e},t.className="SeparableConv",t}(So),My=function(n){Q(t,n);function t(e){return n.call(this,2,e)||this}return t.className="SeparableConv2D",t}(n4);y.serialization.registerClass(My);var Hy=function(n){Q(t,n);function t(e){var i=n.call(this,1,e)||this;return t.verifyArgs(e),i.inputSpec=[{ndim:3}],i}return t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return delete e.rank,delete e.dataFormat,e},t.verifyArgs=function(e){if(typeof e.kernelSize!="number"&&!sh(e.kernelSize,"number",1,1))throw new M("Conv1D expects config.kernelSize to be number or number[] with "+("length 1, but received "+JSON.stringify(e.kernelSize)+"."))},t.className="Conv1D",t}(So);y.serialization.registerClass(Hy);var Vy=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return typeof e.cropping=="number"?i.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:typeof e.cropping[0]=="number"?i.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:i.cropping=e.cropping,i.dataFormat=e.dataFormat===void 0?"channelsLast":e.dataFormat,i.inputSpec=[{ndim:4}],i}return t.prototype.computeOutputShape=function(e){return this.dataFormat==="channelsFirst"?[e[0],e[1],e[2]-this.cropping[0][0]-this.cropping[0][1],e[3]-this.cropping[1][0]-this.cropping[1][1]]:[e[0],e[1]-this.cropping[0][0]-this.cropping[0][1],e[2]-this.cropping[1][0]-this.cropping[1][1],e[3]]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(e=xe(e),r.dataFormat==="channelsLast"){var a=io(e,r.cropping[0][0],e.shape[1]-r.cropping[0][0]-r.cropping[0][1],2);return io(a,r.cropping[1][0],e.shape[2]-r.cropping[1][1]-r.cropping[1][0],3)}else{var a=io(e,r.cropping[0][0],e.shape[2]-r.cropping[0][0]-r.cropping[0][1],3);return io(a,r.cropping[1][0],e.shape[3]-r.cropping[1][1]-r.cropping[1][0],4)}})},t.prototype.getConfig=function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Cropping2D",t}(De);y.serialization.registerClass(Vy);var qy=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.DEFAULT_SIZE=[2,2],i.inputSpec=[{ndim:4}],i.size=e.size==null?i.DEFAULT_SIZE:e.size,i.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,i}return t.prototype.computeOutputShape=function(e){if(this.dataFormat==="channelsFirst"){var i=e[2]==null?null:this.size[0]*e[2],r=e[3]==null?null:this.size[1]*e[3];return[e[0],e[1],i,r]}else{var i=e[1]==null?null:this.size[0]*e[1],r=e[2]==null?null:this.size[1]*e[2];return[e[0],i,r,e[3]]}},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=xe(e),s=a.shape;if(r.dataFormat==="channelsFirst"){a=y.transpose(a,[0,2,3,1]);var o=r.size[0]*s[2],l=r.size[1]*s[3],u=a.resizeNearestNeighbor([o,l]);return y.transpose(u,[0,3,1,2])}else{var o=r.size[0]*s[1],l=r.size[1]*s[2];return a.resizeNearestNeighbor([o,l])}})},t.prototype.getConfig=function(){var e={size:this.size,dataFormat:this.dataFormat},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="UpSampling2D",t}(De);y.serialization.registerClass(qy);function i4(n,t,e,i,r,a){return e===void 0&&(e=[1,1]),i===void 0&&(i="valid"),y.tidy(function(){r==null&&(r=dn()),ut(r);var s=zh(n,r);if(n.rank!==4)throw new M("Input for depthwiseConv2d is required to be 4-D, but is instead "+(n.rank+"-D"));if(t.rank!==4)throw new M("depthwiseKernel is required to be 4-D, but is instead "+(t.rank+"-D"));return s=y.depthwiseConv2d(s,t,e,i==="same"?"same":"valid","NHWC",a),r==="channelsFirst"&&(s=y.transpose(s,[0,3,1,2])),s})}var Gy=function(n){Q(t,n);function t(e){var i=n.call(this,2,e)||this;return i.depthwiseKernel=null,i.depthMultiplier=e.depthMultiplier==null?1:e.depthMultiplier,i.depthwiseInitializer=et(e.depthwiseInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.depthwiseConstraint=yt(e.depthwiseConstraint),i.depthwiseRegularizer=tt(e.depthwiseRegularizer),i}return t.prototype.build=function(e){if(e=Ye(e),e.length<4)throw new M("Inputs to DepthwiseConv2D should have rank 4. "+("Received input shape: "+JSON.stringify(e)+"."));var i=this.dataFormat==="channelsFirst"?1:3;if(e[i]==null||e[i]<0)throw new M("The channel dimension of the inputs to DepthwiseConv2D should "+("be defined, but is not ("+e[i]+")."));var r=e[i],a=[this.kernelSize[0],this.kernelSize[1],r,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",a,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[r*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=xe(e);var a=i4(e,r.depthwiseKernel.read(),r.strides,r.padding,r.dataFormat,null);return r.useBias&&(a=Dn(a,r.bias.read(),r.dataFormat)),r.activation!=null&&(a=r.activation.apply(a)),a})},t.prototype.computeOutputShape=function(e){e=Ye(e);var i=this.dataFormat==="channelsFirst"?e[2]:e[1],r=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,s=gn(i,this.kernelSize[0],this.padding,this.strides[0]),o=gn(r,this.kernelSize[1],this.padding,this.strides[1]);return this.dataFormat==="channelsFirst"?[e[0],a,s,o]:[e[0],s,o,a]},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=at(this.depthwiseInitializer),e.depthwiseRegularizer=Ke(this.depthwiseRegularizer),e.depthwiseConstraint=vt(this.depthwiseRegularizer),e},t.className="DepthwiseConv2D",t}(zy);y.serialization.registerClass(Gy);function Yy(n,t,e,i){if(Array.isArray(n)){if(t!=null||e!=null)throw new M("When inputs is an array, neither initialState or constants should be provided");i!=null&&(e=n.slice(n.length-i,n.length),n=n.slice(0,n.length-i)),n.length>1&&(t=n.slice(1,n.length)),n=n[0]}function r(a){return a==null||Array.isArray(a)?a:[a]}return t=r(t),e=r(e),{inputs:n,initialState:t,constants:e}}function Ky(n,t,e,i,r,a,s,o){return i===void 0&&(i=!1),s===void 0&&(s=!1),o===void 0&&(o=!1),y.tidy(function(){var l=t.shape.length;if(l<3)throw new M("Input should be at least 3D, but is "+l+"D.");var u=[1,0].concat(pn(2,l));if(t=y.transpose(t,u),a!=null)throw new Te("The rnn() functoin of the deeplearn.js backend does not support constants yet.");s&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),r!=null&&(r=r.asType("bool").asType("float32"),r.rank===l-1&&(r=y.expandDims(r,-1)),r=y.transpose(r,u)),i&&(t=y.reverse(t,0),r!=null&&(r=y.reverse(r,0)));var c=[],h,d=e,p=t.shape[0],f=y.unstack(t),m;r!=null&&(m=y.unstack(r));for(var g=function(S){var L=f[S],x=y.tidy(function(){return n(L,d)});if(r==null)h=x[0],d=x[1];else{var C=y.tidy(function(){var R=m[S],D=y.onesLike(R).sub(R),k=x[0].mul(R).add(d[0].mul(D)),W=d.map(function(F,P){return x[1][P].mul(R).add(F.mul(D))});return{output:k,newStates:W}});h=C.output,d=C.newStates}o&&c.push(h)},v=0;v<p;++v)g(v);var b;if(o){var w=1;b=y.stack(c,w)}return[h,b,d]})}var yi=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this,r;if(e.cell==null)throw new M("cell property is missing for the constructor of RNN.");if(Array.isArray(e.cell)?r=new _h({cells:e.cell}):r=e.cell,r.stateSize==null)throw new M("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return i.cell=r,i.returnSequences=e.returnSequences==null?!1:e.returnSequences,i.returnState=e.returnState==null?!1:e.returnState,i.goBackwards=e.goBackwards==null?!1:e.goBackwards,i._stateful=e.stateful==null?!1:e.stateful,i.unroll=e.unroll==null?!1:e.unroll,i.supportsMasking=!0,i.inputSpec=[new At({ndim:3})],i.stateSpec=null,i.states_=null,i.numConstants=null,i.keptStates=[],i}return t.prototype.getStates=function(){if(this.states_==null){var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1;return pn(0,e).map(function(i){return null})}else return this.states_},t.prototype.setStates=function(e){this.states_=e},t.prototype.computeOutputShape=function(e){bh(e)&&(e=e[0]),e=e;var i=this.cell.stateSize;Array.isArray(i)||(i=[i]);var r=i[0],a;if(this.returnSequences?a=[e[0],e[1],r]:a=[e[0],r],this.returnState){for(var s=[],o=0,l=i;o<l.length;o++){var u=l[o];s.push([e[0],u])}return[a].concat(s)}else return a},t.prototype.computeMask=function(e,i){var r=this;return y.tidy(function(){Array.isArray(i)&&(i=i[0]);var a=r.returnSequences?i:null;if(r.returnState){var s=r.states.map(function(o){return null});return[a].concat(s)}else return a})},Object.defineProperty(t.prototype,"states",{get:function(){if(this.states_==null){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,i=[],r=0;r<e;++r)i.push(null);return i}else return this.states_},set:function(e){this.states_=e},enumerable:!0,configurable:!0}),t.prototype.build=function(e){if(this.numConstants!=null)throw new Te("Constants support is not implemented in RNN yet.");bh(e)&&(e=e[0]),e=e;var i=this.stateful?e[0]:null,r=e.slice(2);this.inputSpec[0]=new At({shape:[i,null].concat(r)});var a=[e[0]].concat(e.slice(2));this.cell.build(a);var s;if(Array.isArray(this.cell.stateSize)?s=this.cell.stateSize:s=[this.cell.stateSize],this.stateSpec!=null){if(!y.util.arraysEqual(this.stateSpec.map(function(o){return o.shape[o.shape.length-1]}),s))throw new M("An initialState was passed that is not compatible with "+("cell.stateSize. Received stateSpec="+this.stateSpec+"; ")+("However cell.stateSize is "+this.cell.stateSize))}else this.stateSpec=s.map(function(o){return new At({shape:[null,o]})});this.stateful&&this.resetStates()},t.prototype.resetStates=function(e,i){var r=this;i===void 0&&(i=!1),y.tidy(function(){if(!r.stateful)throw new ci("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=r.inputSpec[0].shape[0];if(a==null)throw new M("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(r.states_==null)Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(c){return y.zeros([a,c])}):r.states_=[y.zeros([a,r.cell.stateSize])];else if(e==null)y.dispose(r.states_),r.keptStates!=null&&(y.dispose(r.keptStates),r.keptStates=[]),Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(c){return y.zeros([a,c])}):r.states_[0]=y.zeros([a,r.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==r.states_.length)throw new M("Layer "+r.name+" expects "+r.states_.length+" state(s), "+("but it received "+e.length+" state value(s). Input ")+("received: "+e));i===!0?r.keptStates.push(r.states_.slice()):y.dispose(r.states_);for(var s=0;s<r.states_.length;++s){var o=e[s],l=Array.isArray(r.cell.stateSize)?r.cell.stateSize[s]:r.cell.stateSize,u=[a,l];if(!y.util.arraysEqual(o.shape,u))throw new M("State "+s+" is incompatible with layer "+r.name+": "+("expected shape="+u+", received shape="+o.shape));r.states_[s]=o}}r.states_=r.states_.map(function(c){return y.keep(c.clone())})})},t.prototype.apply=function(e,i){var r=i==null?null:i.initialState,a=i==null?null:i.constants;i==null&&(i={});var s=Yy(e,r,a,this.numConstants);e=s.inputs,r=s.initialState,a=s.constants;var o=[],l=[];if(r!=null){i.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u=0,c=r;u<c.length;u++){var h=c[u];this.stateSpec.push(new At({shape:h.shape}))}l=l.concat(this.stateSpec)}a!=null&&(i.constants=a,o=o.concat(a),this.numConstants=a.length);var d=o[0]instanceof fn;if(d){var p=[e].concat(o),f=this.inputSpec.concat(l),m=this.inputSpec;this.inputSpec=f;var g=n.prototype.apply.call(this,p,i);return this.inputSpec=m,g}else return n.prototype.apply.call(this,e,i)},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;e=xe(e),o==null&&(r.stateful?o=r.states_:o=r.getInitialState(e));var l=Array.isArray(r.cell.stateSize)?r.cell.stateSize.length:1;if(o.length!==l)throw new M("RNN Layer has "+l+" state(s) but was passed "+(o.length+" initial state(s)."));r.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var u={training:s},c=function(g,v){var b=r.cell.call([g].concat(v),u);return[b[0],b.slice(1)]},h=Ky(c,e,o,r.goBackwards,a,null,r.unroll,r.returnSequences),d=h[0],p=h[1],f=h[2];r.stateful&&r.resetStates(f,s);var m=r.returnSequences?p:d;return r.returnState?[m].concat(f):m})},t.prototype.getInitialState=function(e){var i=this;return y.tidy(function(){var r=y.zeros(e.shape);return r=y.sum(r,[1,2]),r=Ua(r),Array.isArray(i.cell.stateSize)?i.cell.stateSize.map(function(a){return a>1?lh(r,[1,a]):r}):i.cell.stateSize>1?[lh(r,[1,i.cell.stateSize])]:[r]})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),t.prototype.setFastWeightInitDuringBuild=function(e){n.prototype.setFastWeightInitDuringBuild.call(this,e),this.cell!=null&&this.cell.setFastWeightInitDuringBuild(e)},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};this.numConstants!=null&&(i.numConstants=this.numConstants);var r=this.cell.getConfig();return this.getClassName()===t.className&&(i.cell={className:this.cell.getClassName(),config:r}),Vt({},r,e,i)},t.fromConfig=function(e,i,r){r===void 0&&(r={});var a=i.cell,s=mn(a,r);return new e(Object.assign(i,{cell:s}))},t.className="RNN",t}(De);y.serialization.registerClass(yi);var Vr=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(De),Mh=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.DEFAULT_ACTIVATION="tanh",i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_RECURRENT_INITIALIZER="orthogonal",i.DEFAULT_BIAS_INITIALIZER="zeros",i.units=e.units,It(i.units,"units"),i.activation=vi(e.activation==null?i.DEFAULT_ACTIVATION:e.activation),i.useBias=e.useBias==null?!0:e.useBias,i.kernelInitializer=et(e.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.recurrentInitializer=et(e.recurrentInitializer||i.DEFAULT_RECURRENT_INITIALIZER),i.biasInitializer=et(e.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.kernelRegularizer=tt(e.kernelRegularizer),i.recurrentRegularizer=tt(e.recurrentRegularizer),i.biasRegularizer=tt(e.biasRegularizer),i.kernelConstraint=yt(e.kernelConstraint),i.recurrentConstraint=yt(e.recurrentConstraint),i.biasConstraint=yt(e.biasConstraint),i.dropout=zr([1,pi([0,e.dropout==null?0:e.dropout])]),i.recurrentDropout=zr([1,pi([0,e.recurrentDropout==null?0:e.recurrentDropout])]),i.stateSize=i.units,i.dropoutMask=null,i.recurrentDropoutMask=null,i}return t.prototype.build=function(e){e=Ye(e),this.kernel=this.addWeight("kernel",[e[e.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(e=e,e.length!==2)throw new M("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var a=e[1];e=e[0];var s=i.training==null?!1:i.training;0<r.dropout&&r.dropout<1&&r.dropoutMask==null&&(r.dropoutMask=bi({ones:function(){return y.onesLike(e)},rate:r.dropout,training:s})),0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=bi({ones:function(){return y.onesLike(a)},rate:r.recurrentDropout,training:s}));var o,l=r.dropoutMask,u=r.recurrentDropoutMask;l!=null?o=En(y.mul(e,l),r.kernel.read()):o=En(e,r.kernel.read()),r.bias!=null&&(o=Dn(o,r.bias.read())),u!=null&&(a=y.mul(a,u));var c=y.add(o,En(a,r.recurrentKernel.read()));return r.activation!=null&&(c=r.activation.apply(c)),[c,c]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={units:this.units,activation:gi(this.activation),useBias:this.useBias,kernelInitializer:at(this.kernelInitializer),recurrentInitializer:at(this.recurrentInitializer),biasInitializer:at(this.biasInitializer),kernelRegularizer:Ke(this.kernelRegularizer),recurrentRegularizer:Ke(this.recurrentRegularizer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),kernelConstraint:vt(this.kernelConstraint),recurrentConstraint:vt(this.recurrentConstraint),biasConstraint:vt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Vt({},e,i)},t.className="SimpleRNNCell",t}(Vr);y.serialization.registerClass(Mh);var jy=function(n){Q(t,n);function t(e){var i=this;return e.cell=new Mh(e),i=n.call(this,e)||this,i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.cell.dropoutMask!=null&&(y.dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),r.cell.recurrentDropoutMask!=null&&(y.dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;return n.prototype.call.call(r,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,i){return new e(i)},t.className="SimpleRNN",t}(yi);y.serialization.registerClass(jy);var Hh=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;if(i.DEFAULT_ACTIVATION="tanh",i.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_RECURRENT_INITIALIZER="orthogonal",i.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new M("GRUCell does not support reset_after parameter set to true.");return i.units=e.units,It(i.units,"units"),i.activation=vi(e.activation===void 0?i.DEFAULT_ACTIVATION:e.activation),i.recurrentActivation=vi(e.recurrentActivation===void 0?i.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),i.useBias=e.useBias==null?!0:e.useBias,i.kernelInitializer=et(e.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.recurrentInitializer=et(e.recurrentInitializer||i.DEFAULT_RECURRENT_INITIALIZER),i.biasInitializer=et(e.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.kernelRegularizer=tt(e.kernelRegularizer),i.recurrentRegularizer=tt(e.recurrentRegularizer),i.biasRegularizer=tt(e.biasRegularizer),i.kernelConstraint=yt(e.kernelConstraint),i.recurrentConstraint=yt(e.recurrentConstraint),i.biasConstraint=yt(e.biasConstraint),i.dropout=zr([1,pi([0,e.dropout==null?0:e.dropout])]),i.recurrentDropout=zr([1,pi([0,e.recurrentDropout==null?0:e.recurrentDropout])]),i.implementation=e.implementation,i.stateSize=i.units,i.dropoutMask=null,i.recurrentDropoutMask=null,i}return t.prototype.build=function(e){e=Ye(e);var i=e[e.length-1];this.kernel=this.addWeight("kernel",[i,this.units*3],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*3],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units*3],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(e=e,e.length!==2)throw new M("GRUCell expects 2 input Tensors (inputs, h, c), got "+(e.length+"."));var a=i.training==null?!1:i.training,s=e[1];e=e[0],0<r.dropout&&r.dropout<1&&r.dropoutMask==null&&(r.dropoutMask=bi({ones:function(){return y.onesLike(e)},rate:r.dropout,training:a,count:3})),0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=bi({ones:function(){return y.onesLike(s)},rate:r.recurrentDropout,training:a,count:3}));var o=r.dropoutMask,l=r.recurrentDropoutMask,u,c,h;0<r.dropout&&r.dropout<1&&(e=y.mul(e,o[0]));var d=En(e,r.kernel.read());r.useBias&&(d=Dn(d,r.bias.read())),0<r.recurrentDropout&&r.recurrentDropout<1&&(s=y.mul(s,l[0]));var p=r.recurrentKernel.read(),f=y.split(p,[2*r.units,r.units],p.rank-1),m=f[0],g=f[1],v=En(s,m),b=y.split(d,3,d.rank-1),w=b[0],S=b[1],L=b[2],x=y.split(v,2,v.rank-1),C=x[0],R=x[1];u=r.recurrentActivation.apply(y.add(w,C)),c=r.recurrentActivation.apply(y.add(S,R));var D=En(y.mul(c,s),g);h=r.activation.apply(y.add(L,D));var k=y.add(y.mul(u,s),y.mul(y.add(1,y.neg(u)),h));return[k,k]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={units:this.units,activation:gi(this.activation),recurrentActivation:gi(this.recurrentActivation),useBias:this.useBias,kernelInitializer:at(this.kernelInitializer),recurrentInitializer:at(this.recurrentInitializer),biasInitializer:at(this.biasInitializer),kernelRegularizer:Ke(this.kernelRegularizer),recurrentRegularizer:Ke(this.recurrentRegularizer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),kernelConstraint:vt(this.kernelConstraint),recurrentConstraint:vt(this.recurrentConstraint),biasConstraint:vt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Vt({},e,i)},t.className="GRUCell",t}(Vr);y.serialization.registerClass(Hh);var $y=function(n){Q(t,n);function t(e){var i=this;return e.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new Hh(e),i=n.call(this,e)||this,i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.cell.dropoutMask!=null&&(y.dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),r.cell.recurrentDropoutMask!=null&&(y.dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;return n.prototype.call.call(r,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,i){return i.implmentation===0&&(i.implementation=1),new e(i)},t.className="GRU",t}(yi);y.serialization.registerClass($y);var Lo=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.DEFAULT_ACTIVATION="tanh",i.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_RECURRENT_INITIALIZER="orthogonal",i.DEFAULT_BIAS_INITIALIZER="zeros",i.units=e.units,It(i.units,"units"),i.activation=vi(e.activation===void 0?i.DEFAULT_ACTIVATION:e.activation),i.recurrentActivation=vi(e.recurrentActivation===void 0?i.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),i.useBias=e.useBias==null?!0:e.useBias,i.kernelInitializer=et(e.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.recurrentInitializer=et(e.recurrentInitializer||i.DEFAULT_RECURRENT_INITIALIZER),i.biasInitializer=et(e.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.unitForgetBias=e.unitForgetBias,i.kernelRegularizer=tt(e.kernelRegularizer),i.recurrentRegularizer=tt(e.recurrentRegularizer),i.biasRegularizer=tt(e.biasRegularizer),i.kernelConstraint=yt(e.kernelConstraint),i.recurrentConstraint=yt(e.recurrentConstraint),i.biasConstraint=yt(e.biasConstraint),i.dropout=zr([1,pi([0,e.dropout==null?0:e.dropout])]),i.recurrentDropout=zr([1,pi([0,e.recurrentDropout==null?0:e.recurrentDropout])]),i.implementation=e.implementation,i.stateSize=[i.units,i.units],i.dropoutMask=null,i.recurrentDropoutMask=null,i}return t.prototype.build=function(e){var i;e=Ye(e);var r=e[e.length-1];this.kernel=this.addWeight("kernel",[r,this.units*4],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units*4],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint);var a;if(this.useBias){if(this.unitForgetBias){var s=this.biasInitializer,o=this.units;a=new(i=function(l){Q(u,l);function u(){return l!==null&&l.apply(this,arguments)||this}return u.prototype.apply=function(c,h){var d=s.apply([o]),p=new dh().apply([o]),f=s.apply([o*2]);return Wv(Wv(d,p),f)},u}(sn),i.className="CustomInit",i)}else a=this.biasInitializer;this.bias=this.addWeight("bias",[this.units*4],null,a,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=i.training==null?!1:i.training;if(e=e,e.length!==3)throw new M("LSTMCell expects 3 input Tensors (inputs, h, c), got "+(e.length+"."));var s=e[1],o=e[2];e=e[0],0<r.dropout&&r.dropout<1&&r.dropoutMask==null&&(r.dropoutMask=bi({ones:function(){return y.onesLike(e)},rate:r.dropout,training:a,count:4})),0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=bi({ones:function(){return y.onesLike(s)},rate:r.recurrentDropout,training:a,count:4}));var l=r.dropoutMask,u=r.recurrentDropoutMask,c,h,d,p;0<r.dropout&&r.dropout<1&&(e=y.mul(e,l[0]));var f=En(e,r.kernel.read());0<r.recurrentDropout&&r.recurrentDropout<1&&(s=y.mul(s,u[0])),f=y.add(f,En(s,r.recurrentKernel.read())),r.useBias&&(f=Dn(f,r.bias.read()));var m=y.split(f,4,f.rank-1),g=m[0],v=m[1],b=m[2],w=m[3];c=r.recurrentActivation.apply(g),h=r.recurrentActivation.apply(v),d=y.add(y.mul(h,o),y.mul(c,r.activation.apply(b))),p=r.recurrentActivation.apply(w);var S=y.mul(p,r.activation.apply(d));return[S,S,d]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={units:this.units,activation:gi(this.activation),recurrentActivation:gi(this.recurrentActivation),useBias:this.useBias,kernelInitializer:at(this.kernelInitializer),recurrentInitializer:at(this.recurrentInitializer),biasInitializer:at(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Ke(this.kernelRegularizer),recurrentRegularizer:Ke(this.recurrentRegularizer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),kernelConstraint:vt(this.kernelConstraint),recurrentConstraint:vt(this.recurrentConstraint),biasConstraint:vt(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Vt({},e,i)},t.className="LSTMCell",t}(Vr);y.serialization.registerClass(Lo);var Xy=function(n){Q(t,n);function t(e){var i=this;return e.implementation===0&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new Lo(e),i=n.call(this,e)||this,i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.cell.dropoutMask!=null&&(y.dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),r.cell.recurrentDropoutMask!=null&&(y.dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;return n.prototype.call.call(r,e,{mask:a,training:s,initialState:o})})},t.fromConfig=function(e,i){return i.implmentation===0&&(i.implementation=1),new e(i)},t.className="LSTM",t}(yi);y.serialization.registerClass(Xy);var _h=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.cells=e.cells,i}return Object.defineProperty(t.prototype,"stateSize",{get:function(){for(var e=[],i=0,r=this.cells.slice().reverse();i<r.length;i++){var a=r[i];Array.isArray(a.stateSize)?e.push.apply(e,a.stateSize):e.push(a.stateSize)}return e},enumerable:!0,configurable:!0}),t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=e;for(var a=e.slice(1),s=[],o=0,l=r.cells.slice().reverse();o<l.length;o++){var u=l[o];Array.isArray(u.stateSize)?s.push(a.splice(0,u.stateSize.length)):s.push(a.splice(0,1))}s.reverse();for(var c=[],h,d=0;d<r.cells.length;++d){var u=r.cells[d];a=s[d],d===0?h=[e[0]].concat(a):h=[h[0]].concat(a),h=u.call(h,i),c.push(h.slice(1))}a=[];for(var p=0,f=c.slice().reverse();p<f.length;p++){var m=f[p];a.push.apply(a,m)}return[h[0]].concat(a)})},t.prototype.build=function(e){bh(e)&&(e=e[0]),e=e;var i;this.cells.forEach(function(r,a){ji("RNNCell_"+a,function(){r.build(e),Array.isArray(r.stateSize)?i=r.stateSize[0]:i=r.stateSize,e=[e[0],i]})}),this.built=!0},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i=function(s){return{className:s.getClassName(),config:s.getConfig()}},r=this.cells.map(i),a={cells:r};return Vt({},e,a)},t.fromConfig=function(e,i,r){r===void 0&&(r={});for(var a=[],s=0,o=i.cells;s<o.length;s++){var l=o[s];a.push(mn(l,r))}return new e({cells:a})},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){if(!this.trainable)return[];for(var e=[],i=0,r=this.cells;i<r.length;i++){var a=r[i];e.push.apply(e,a.trainableWeights)}return e},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){for(var e=[],i=0,r=this.cells;i<r.length;i++){var a=r[i];e.push.apply(e,a.nonTrainableWeights)}if(!this.trainable){for(var s=[],o=0,l=this.cells;o<l.length;o++){var a=l[o];s.push.apply(s,a.trainableWeights)}return s.concat(e)}return e},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){for(var e=[],i=0,r=this.cells;i<r.length;i++){var a=r[i];e.push.apply(e,a.weights)}return wh(e)},t.prototype.setWeights=function(e){for(var i=[],r=0,a=this.cells;r<a.length;r++)for(var s=a[r],o=s.weights.length,l=e.splice(o),u=0;u<s.weights.length;++u)i.push([s.weights[u],l[u]]);Sh(i)},t.className="StackedRNNCells",t}(Vr);y.serialization.registerClass(_h);function bi(n){var t=n.ones,e=n.rate,i=n.training,r=i===void 0?!1:i,a=n.count,s=a===void 0?1:a,o=function(){return Bv(t(),e)},l=function(){return za(o,t,r)};if(!s||s<=1)return y.keep(l().clone());var u=Array(s).fill(void 0).map(l);return u.map(function(c){return y.keep(c.clone())})}var CH=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t}(Vr),r4=function(n){Q(t,n);function t(e){var i=this;if(e.unroll)throw new Te("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new Te("It is not possible at the moment to stack convolutional cells.");return i=n.call(this,e)||this,i.inputSpec=[new At({ndim:5})],i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(r.cell.dropoutMask!=null&&(y.dispose(r.cell.dropoutMask),r.cell.dropoutMask=null),r.cell.recurrentDropoutMask!=null&&(y.dispose(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),i&&i.constants)throw new M("ConvRNN2D cell does not support constants");var a=i==null?null:i.mask,s=i==null?null:i.training,o=i==null?null:i.initialState;return n.prototype.call.call(r,e,{mask:a,training:s,initialState:o})})},t.prototype.computeOutputShape=function(e){var i=this.computeSingleOutputShape(e);return this.returnSequences||(i=[i[0]].concat(i.slice(2))),this.returnState&&(i=[i].concat(Array(2).fill([e[0]].concat(i.slice(-3))))),i},t.prototype.getInitialState=function(e){var i=this;return y.tidy(function(){var r=i.cell.stateSize,a=e.shape,s=i.computeSingleOutputShape(a),o=[s[0]].concat(s.slice(2)),l=y.zeros(o);return Array.isArray(r)?Array(r.length).fill(l):[l]})},t.prototype.resetStates=function(e,i){var r=this;i===void 0&&(i=!1),y.tidy(function(){if(!r.stateful)throw new ci("Cannot call resetStates() on an RNN Layer that is not stateful.");var a=r.inputSpec[0].shape,s=r.computeSingleOutputShape(a),o=[s[0]].concat(s.slice(2)),l=a[0];if(l==null)throw new M("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(r.getStates()==null)Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(){return y.zeros(o)}):r.states_=[y.zeros(o)];else if(e==null)y.dispose(r.states_),r.keptStates!=null&&(y.dispose(r.keptStates),r.keptStates=[]),Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(){return y.zeros(o)}):r.states_[0]=y.zeros(o);else{if(Array.isArray(e)||(e=[e]),e.length!==r.states_.length)throw new M("Layer "+r.name+" expects "+r.states_.length+" state(s), "+("but it received "+e.length+" state value(s). Input ")+("received: "+e));i?r.keptStates.push(r.states_.slice()):y.dispose(r.states_);for(var u=0;u<r.states_.length;++u){var c=e[u],h=o;if(!y.util.arraysEqual(c.shape,h))throw new M("State "+u+" is incompatible with layer "+r.name+": "+("expected shape="+h+", received shape="+c.shape));r.states_[u]=c}}r.states_=r.states_.map(function(d){return y.keep(d.clone())})})},t.prototype.computeSingleOutputShape=function(e){var i=this.cell,r=i.dataFormat,a=i.filters,s=i.kernelSize,o=i.padding,l=i.strides,u=i.dilationRate,c=r==="channelsFirst",h=e[c?3:2],d=e[c?4:3],p=gn(h,s[0],o,l[0],u[0]),f=gn(d,s[1],o,l[1],u[1]),m=e.slice(0,2).concat(c?[a,p,f]:[p,f,a]);return m},t.className="ConvRNN2D",t}(yi),Vh=function(n){Q(t,n);function t(e){var i=this,r=e.filters,a=e.kernelSize,s=e.strides,o=e.padding,l=e.dataFormat,u=e.dilationRate;return i=n.call(this,Vt({},e,{units:r}))||this,i.filters=r,It(i.filters,"filters"),i.kernelSize=Hr(a,2,"kernelSize"),i.kernelSize.forEach(function(c){return It(c,"kernelSize")}),i.strides=Hr(s||1,2,"strides"),i.strides.forEach(function(c){return It(c,"strides")}),i.padding=o||"valid",Qt(i.padding),i.dataFormat=l||"channelsLast",ut(i.dataFormat),i.dilationRate=Hr(u||1,2,"dilationRate"),i.dilationRate.forEach(function(c){return It(c,"dilationRate")}),i}return t.prototype.build=function(e){var i;e=Ye(e);var r=this.dataFormat==="channelsFirst"?1:e.length-1;if(e[r]==null)throw new M("The channel dimension of the input should be defined. "+("Found "+e[r]));var a=e[r],s=4,o=this.kernelSize.concat([a,this.filters*s]);this.kernel=this.addWeight("kernel",o,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var l=this.kernelSize.concat([this.filters,this.filters*s]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",l,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var u=void 0;if(this.unitForgetBias){var c=this.biasInitializer,h=this.filters;u=new(i=function(d){Q(p,d);function p(){return d!==null&&d.apply(this,arguments)||this}return p.prototype.apply=function(f,m){var g=c.apply([h]),v=y.ones([h]),b=c.apply([h*2]);return ch([g,v,b])},p}(sn),i.className="CustomInit",i)}else u=this.biasInitializer;this.bias=this.addWeight("bias",[this.filters*s],null,u,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(e.length!==3)throw new M("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+(e.length+"."));var a=i.training||!1,s=e[0],o=e[1],l=e[2],u=4;0<r.dropout&&r.dropout<1&&r.dropoutMask==null&&(r.dropoutMask=bi({ones:function(){return y.onesLike(s)},rate:r.dropout,training:a,count:u}));var c=r.dropoutMask,h=function(te,re,le){return!re||!re[le]?te:y.mul(re[le],te)},d=h(s,c,0),p=h(s,c,1),f=h(s,c,2),m=h(s,c,3);0<r.recurrentDropout&&r.recurrentDropout<1&&r.recurrentDropoutMask==null&&(r.recurrentDropoutMask=bi({ones:function(){return y.onesLike(o)},rate:r.recurrentDropout,training:a,count:u}));var g=r.recurrentDropoutMask,v=h(o,g,0),b=h(o,g,1),w=h(o,g,2),S=h(o,g,3),L=3,x=y.split(r.kernel.read(),u,L),C=x[0],R=x[1],D=x[2],k=x[3],W=r.useBias?y.split(r.bias.read(),u):[null,null,null,null],F=W[0],P=W[1],H=W[2],_=W[3];d=r.inputConv(d,C,F,r.padding),p=r.inputConv(p,R,P,r.padding),f=r.inputConv(f,D,H,r.padding),m=r.inputConv(m,k,_,r.padding);var K=y.split(r.recurrentKernel.read(),u,L),j=K[0],q=K[1],G=K[2],Z=K[3];v=r.recurrentConv(v,j),b=r.recurrentConv(b,q),w=r.recurrentConv(w,G),S=r.recurrentConv(S,Z);var X=r.recurrentActivation.apply(y.add(d,v)),ee=r.recurrentActivation.apply(y.add(p,b)),ne=y.add(y.mul(ee,l),y.mul(X,r.activation.apply(y.add(f,w)))),ie=y.mul(r.recurrentActivation.apply(y.add(m,S)),r.activation.apply(ne));return[ie,ie,ne]})},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i=e.units,r=HD(e,["units"]),a={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Vt({},r,a)},t.prototype.inputConv=function(e,i,r,a){var s=y.conv2d(e,i,this.strides,a||"valid",this.dataFormat==="channelsFirst"?"NCHW":"NHWC",this.dilationRate);return r?Dn(s,r,this.dataFormat):s},t.prototype.recurrentConv=function(e,i){var r=1;return y.conv2d(e,i,r,"same",this.dataFormat==="channelsFirst"?"NCHW":"NHWC")},t.className="ConvLSTM2DCell",t}(Lo);y.serialization.registerClass(Vh);var Jy=function(n){Q(t,n);function t(e){var i=this,r=new Vh(e);return i=n.call(this,Vt({},e,{cell:r}))||this,i}return t.fromConfig=function(e,i){return new e(i)},t.className="ConvLSTM2D",t}(r4);y.serialization.registerClass(Jy);var qh=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.rate=Math.max(Math.min(e.rate,1),0),i.noiseShape=e.noiseShape,i.seed=e.seed,i.supportsMasking=!0,i}return t.prototype.getNoiseShape=function(e){if(this.noiseShape==null)return this.noiseShape;for(var i=e.shape,r=[],a=0;a<this.noiseShape.length;++a)r.push(this.noiseShape[a]==null?i[a]:this.noiseShape[a]);return r},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e);if(0<r.rate&&r.rate<1){var s=i.training==null?!1:i.training,o=r.getNoiseShape(a),l=za(function(){return Bv(a,r.rate,o,r.seed)},function(){return a},s);return l}return e})},t.prototype.getConfig=function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.prototype.dispose=function(){return n.prototype.dispose.call(this)},t.className="Dropout",t}(De);y.serialization.registerClass(qh);var Zy=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.inputSpec=[{ndim:3}],i}return t.prototype.getNoiseShape=function(e){var i=e.shape;return[i[0],1,i[2]]},t.className="SpatialDropout1D",t}(qh);y.serialization.registerClass(Zy);var Qy=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;if(i.activation=null,i.useBias=!0,i.kernel=null,i.bias=null,i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_BIAS_INITIALIZER="zeros",e.batchInputShape==null&&e.inputShape==null&&e.inputDim!=null){var r=null;e.batchSize!=null&&(r=e.batchSize),i.batchInputShape=[r,e.inputDim]}return i.units=e.units,It(i.units,"units"),i.activation=vi(e.activation),e.useBias!=null&&(i.useBias=e.useBias),i.kernelInitializer=et(e.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.biasInitializer=et(e.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.kernelConstraint=yt(e.kernelConstraint),i.biasConstraint=yt(e.biasConstraint),i.kernelRegularizer=tt(e.kernelRegularizer),i.biasRegularizer=tt(e.biasRegularizer),i.activityRegularizer=tt(e.activityRegularizer),i.supportsMasking=!0,i.inputSpec=[{minNDim:2}],i}return t.prototype.build=function(e){var i;e=Ye(e);var r=e[e.length-1];this.kernel==null&&(this.kernel=this.addWeight("kernel",[r,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(i={},i[-1]=r,i)}],this.built=!0},t.prototype.computeOutputShape=function(e){e=Ye(e);var i=e.slice();return i[i.length-1]=this.units,i},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e),s=Lv(r.activation.getClassName()),o;return s!=null?o=En(a,r.kernel.read(),s,r.bias?r.bias.read():null):(o=En(a,r.kernel.read()),r.bias!=null&&(o=Dn(o,r.bias.read())),r.activation!=null&&(o=r.activation.apply(o))),o})},t.prototype.getConfig=function(){var e={units:this.units,activation:gi(this.activation),useBias:this.useBias,kernelInitializer:at(this.kernelInitializer),biasInitializer:at(this.biasInitializer),kernelRegularizer:Ke(this.kernelRegularizer),biasRegularizer:Ke(this.biasRegularizer),activityRegularizer:Ke(this.activityRegularizer),kernelConstraint:vt(this.kernelConstraint),biasConstraint:vt(this.biasConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Dense",t}(De);y.serialization.registerClass(Qy);var eb=function(n){Q(t,n);function t(e){var i=this;return e=e||{},i=n.call(this,e)||this,i.inputSpec=[{minNDim:3}],i.dataFormat=e.dataFormat,i}return t.prototype.computeOutputShape=function(e){e=Ye(e);for(var i=0,r=e.slice(1);i<r.length;i++){var a=r[i];if(a==null)throw new M('The shape of the input to "Flatten" is not fully defined '+("(got "+e.slice(1)+"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}return[e[0],di(e,1)]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e);if(r.dataFormat==="channelsFirst"&&a.rank>1){for(var s=[0],o=2;o<a.rank;++o)s.push(o);s.push(1),a=a.transpose(s)}return ok(a)})},t.prototype.getConfig=function(){var e={};this.dataFormat!=null&&(e.dataFormat=this.dataFormat);var i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Flatten",t}(De);y.serialization.registerClass(eb);var tb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.supportsMasking=!0,i.activation=vi(e.activation),i}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e);return r.activation.apply(a)})},t.prototype.getConfig=function(){var e={activation:gi(this.activation)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Activation",t}(De);y.serialization.registerClass(tb);var nb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.n=e.n,i.inputSpec=[{ndim:2}],i}return t.prototype.computeOutputShape=function(e){return[e[0],this.n,e[1]]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){return e=xe(e),ak(e,r.n)})},t.prototype.getConfig=function(){var e={n:this.n},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="RepeatVector",t}(De);y.serialization.registerClass(nb);var ib=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;i.targetShape=e.targetShape;for(var r=0;r<i.targetShape.length;++r)i.isUnknown(i.targetShape[r])&&(i.targetShape[r]=null);return i}return t.prototype.isUnknown=function(e){return e<0||e==null},t.prototype.fixUnknownDimension=function(e,i){for(var r="Total size of new array must be unchanged.",a=i.slice(),s=1,o=null,l=0;l<a.length;++l){var u=a[l];if(this.isUnknown(u))if(o===null)o=l;else throw new M("Can only specifiy one unknown dimension.");else s*=u}var c=di(e);if(o!==null){if(s===0||c%s!==0)throw new M(r);a[o]=c/s}else if(c!==s)throw new M(r);return a},t.prototype.computeOutputShape=function(e){for(var i=!1,r=0;r<e.length;++r)if(this.isUnknown(e[r])){i=!0;break}return i?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e),s=a.shape,o=s.slice(0,1).concat(r.fixUnknownDimension(s.slice(1),r.targetShape));return a.reshape(o)})},t.prototype.getConfig=function(){var e={targetShape:this.targetShape},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Reshape",t}(De);y.serialization.registerClass(ib);var rb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;if(e.dims==null)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+(e.dims+" instead."));var r=pn(1,e.dims.length+1);if(!y.util.arraysEqual(e.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return i.dims=e.dims,i.dimsIncludingBatch=[0].concat(i.dims),i.inputSpec=[new At({ndim:i.dims.length+1})],i}return t.prototype.computeOutputShape=function(e){e=Ye(e);var i=e.slice();return this.dims.forEach(function(r,a){i[a+1]=e[r]}),i},t.prototype.call=function(e,i){return y.transpose(xe(e),this.dimsIncludingBatch)},t.prototype.getConfig=function(){var e={dims:this.dims},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Permute",t}(De);y.serialization.registerClass(rb);var ab=function(n){Q(t,n);function t(e){var i=n.call(this,e??{})||this;return i.supportsMasking=!0,e!=null?i.maskValue=e.maskValue==null?0:e.maskValue:i.maskValue=0,i}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={maskValue:this.maskValue};return Object.assign(i,e),i},t.prototype.computeMask=function(e,i){var r=xe(e),a=-1;return y.any(y.notEqual(r,this.maskValue),a)},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e),s=-1,o=!0,l=y.any(y.notEqual(a,r.maskValue),s,o),u=a.mul(l.asType(a.dtype));return u})},t.className="Masking",t}(De);y.serialization.registerClass(ab);var sb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;if(i.embeddings=null,i.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",e.batchInputShape==null&&e.inputShape==null){var r=null;e.batchSize!=null&&(r=e.batchSize),e.inputLength==null?i.batchInputShape=[r,null]:i.batchInputShape=[r].concat(Xe(e.inputLength))}return i.inputDim=e.inputDim,It(i.inputDim,"inputDim"),i.outputDim=e.outputDim,It(i.outputDim,"outputDim"),i.embeddingsInitializer=et(e.embeddingsInitializer||i.DEFAULT_EMBEDDINGS_INITIALIZER),i.embeddingsRegularizer=tt(e.embeddingsRegularizer),i.activityRegularizer=tt(e.activityRegularizer),i.embeddingsConstraint=yt(e.embeddingsConstraint),i.maskZero=e.maskZero,i.supportsMasking=e.maskZero,i.inputLength=e.inputLength,i}return t.prototype.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},t.prototype.warnOnIncompatibleInputShape=function(e){},t.prototype.computeMask=function(e,i){var r=this;return y.tidy(function(){return r.maskZero?(e=xe(e),y.notEqual(e,y.zerosLike(e))):null})},t.prototype.computeOutputShape=function(e){if(e=Ye(e),this.inputLength==null)return e.concat([this.outputDim]);var i=Xe(this.inputLength);if(i.length!==e.length-1)throw new M('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+e));for(var r=0,a=0;a<i.length;++a){var s=i[a],o=e[a+1];if(s!=null&&o!=null&&s!==o)throw new M('"inputLength" is '+this.inputLength+", but received "+("input shape has shape "+e));s==null&&(i[r]=o),r++}return[e[0]].concat(i,[this.outputDim])},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e);a.dtype!=="int32"&&(a=Wa(a,"int32"));var s=Uv(r.embeddings.read(),a.as1D());return s.reshape(Ye(r.computeOutputShape(a.shape)))})},t.prototype.getConfig=function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:at(this.embeddingsInitializer),embeddingsRegularizer:Ke(this.embeddingsRegularizer),activityRegularizer:Ke(this.activityRegularizer),embeddingsConstraint:vt(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Embedding",t}(De);y.serialization.registerClass(sb);var Zi=function(n){Q(t,n);function t(e){var i=n.call(this,e||{})||this;return i.supportsMasking=!0,i}return t.prototype.mergeFunction=function(e){throw new Te},t.prototype.computeElementwiseOpOutputShape=function(e,i){if(e==null||i==null)return null;if(e.length<i.length)return this.computeElementwiseOpOutputShape(i,e);if(i.length===0)return e;for(var r=e.slice(0,e.length-i.length),a=0;a<i.length;++a){var s=e[e.length-i.length+a],o=i[a];if(s==null||o==null||s<0||o<0)r.push(null);else if(s===1)r.push(o);else if(o===1)r.push(s);else{if(s!==o)throw new M("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(i));r.push(s)}}return r},t.prototype.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[Ye(e)]),e=e,e.length<2)throw new M("A merge layer should be called on an Array of at least 2 inputs."+(" Got "+e.length+" input(s)."));for(var i=[],r=0,a=e;r<a.length;r++){var s=a[r];s!=null&&s[0]!==null&&i.push(s[0])}if(i=hi(i),i.length>1)throw new M("Can not merge tensors with different batch sizes. "+("Got tensors with shapes: "+JSON.stringify(e)+"."));for(var o=e[0]==null?null:e[0].slice(1),l=1;l<e.length;++l){var s=e[l]==null?null:e[l].slice(1);o=this.computeElementwiseOpOutputShape(o,s)}var u=e.map(function(c){return c.length});e.indexOf(null)===-1&&hi(u).length===1?this.reshapeRequired=!1:this.reshapeRequired=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(e=e,r.reshapeRequired){var a=[],s=e.map(function(D){return D.rank});if(s.indexOf(null)===-1){for(var o=pi(s),l=0,u=e;l<u.length;l++){for(var c=u[l],h=c.rank,d=0;d<o-h;++d)c=Ua(c,1);a.push(c)}return r.mergeFunction(a)}else{for(var p=!1,f=0,m=e;f<m.length;f++){var c=m[f],h=c.rank;if(h==null){var g=c.shape,v=g[0],b=g.slice(1).concat([v]),w=c.reshape([v].concat(di(g.slice(1))));w=y.transpose(w,[1,0]),w=w.reshape(b),a.push(w),p=!0}else if(h>1){var S=pn(1,h).concat([0]);a.push(y.transpose(c,S)),p=!0}else a.push(c)}var L=r.mergeFunction(a),x=L.rank;if(p){if(x==null){var C=L.shape,R=C.length,v=C[R-1],b=[v].concat(C.slice(0,C.length-1));L=y.transpose(L.reshape([-1,v]),[1,0]).reshape(b)}else if(x>1){var S=[x-1].concat(pn(0,x-1));L=y.transpose(L,S)}}return L}}else return r.mergeFunction(e)})},t.prototype.computeOutputShape=function(e){e=e;var i;e[0]==null?i=null:i=e[0].slice(1);for(var r=1;r<e.length;++r){var a=e[r]==null?null:e[r].slice(1);i=this.computeElementwiseOpOutputShape(i,a)}for(var s=[],o=0,l=e;o<l.length;o++){var a=l[o];a!=null&&a[0]!==null&&s.push(a[0])}return s=hi(s),s.length===1?i=s.concat(i):i=[null].concat(i),i},t.prototype.computeMask=function(e,i){return y.tidy(function(){if(i==null)return null;if(!Array.isArray(i))throw new M("`mask` should be an Array");if(!Array.isArray(e))throw new M("`inputs` should be an Array");if(i.length!==e.length)throw new M("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths "+("("+e.length+" vs "+i.length+")"));if(i.every(function(s){return s==null}))return null;i=i.map(function(s){return s==null?s:y.expandDims(s,0)});for(var r=i[0],a=1;a<i.length-1;++a)r=y.logicalAnd(r,i[a]);return r})},t}(De),ob=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return y.tidy(function(){for(var i=e[0].clone(),r=1;r<e.length;++r)i=y.add(i,e[r]);return i})},t.className="Add",t}(Zi);y.serialization.registerClass(ob);var lb=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return y.tidy(function(){for(var i=e[0].clone(),r=1;r<e.length;++r)i=y.mul(i,e[r]);return i})},t.className="Multiply",t}(Zi);y.serialization.registerClass(lb);var ub=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return y.tidy(function(){for(var i=e[0].clone(),r=1;r<e.length;++r)i=y.add(i,e[r]);return y.mul(1/e.length,i)})},t.className="Average",t}(Zi);y.serialization.registerClass(ub);var cb=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return y.tidy(function(){for(var i=e[0],r=1;r<e.length;++r)i=y.maximum(i,e[r]);return i})},t.className="Maximum",t}(Zi);y.serialization.registerClass(cb);var hb=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.mergeFunction=function(e){return y.tidy(function(){for(var i=e[0],r=1;r<e.length;++r)i=y.minimum(i,e[r]);return i})},t.className="Minimum",t}(Zi);y.serialization.registerClass(hb);var db=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.DEFAULT_AXIS=-1,e==null&&(e={}),i.axis=e.axis==null?i.DEFAULT_AXIS:e.axis,i.supportsMasking=!0,i.reshapeRequired=!1,i}return t.prototype.build=function(e){if(!(Array.isArray(e)&&Array.isArray(e[0]))||e.length===1)throw new M("A `Concatenate` layer should be called on a list of at least 2 inputs");e=e;for(var i=!0,r=0,a=e;r<a.length;r++){var s=a[r];if(s!=null){i=!1;break}}if(i)return;for(var o=[],l=0;l<e.length;++l){var u=e[l].slice();u.splice(this.axis,1);for(var c=!1,h=0,d=o;h<d.length;h++){var s=d[h];if(y.util.arraysEqual(s,u)){c=!0;break}}c||o.push(u)}if(o.length>1)throw new M("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))},t.prototype.mergeFunction=function(e){var i=this;return y.tidy(function(){return ch(e,i.axis)})},t.prototype.computeOutputShape=function(e){if(!(Array.isArray(e)&&Array.isArray(e[0])))throw new M("A `Concatenate` layer should be called on a list of inputs.");for(var i=e,r=i[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,s=0,o=i.slice(1);s<o.length;s++){var l=o[s];if(r[a]==null||l[a]==null){r[a]=null;break}r[a]+=l[a]}return r},t.prototype.computeMask=function(e,i){var r=this;if(i==null)return null;if(!Array.isArray(i))throw new M("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new M("`inputs` should be an array for Concatenate");if(i.length!==e.length)throw new M("Mismatch in the length of mask ("+i.length+") "+("and the legnth of inputs ("+e.length+")"));return y.tidy(function(){var a=!0;if(i.forEach(function(u){if(u!=null){a=!1;return}}),a)return null;for(var s=[],o=0;o<e.length;++o)i[o]==null?s.push(y.onesLike(e[o]).asType("bool")):i[o].rank<e[o].rank?s.push(y.expandDims(i[o],-1)):s.push(i[o]);var l=y.concat(s,r.axis);return y.all(l,-1,!1)})},t.prototype.getConfig=function(){var e={axis:this.axis},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Concatenate",t}(Zi);y.serialization.registerClass(db);function qa(n,t){for(;n<0;)n+=t;return n}function a4(n,t,e){if(n.shape.length>3||t.shape.length>3)throw new Te("batchDot is not implemented for tensors of 4D or higher rank yet");if(y.util.assert(n.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, "+("but got "+n.shape.length)}),y.util.assert(n.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, "+("but got "+t.shape.length)}),typeof e=="number"&&(e=[e,e]),n.dtype==="complex64"||t.dtype==="complex64")throw new Te("batchDot is not implemented for complex64-type Tensors yet.");var i=n.shape.length,r=t.shape.length;e==null&&(e=[i-1,r-2]);var a=e;return y.tidy(function(){var s;if(i>r){s=i-r;for(var o=[],l=0;l<s;++l)o.push(1);t=t.reshape(t.shape.concat(o))}else if(r>i){s=r-i;for(var o=[],l=0;l<s;++l)o.push(1);n=n.reshape(n.shape.concat(o))}else s=0;var u;if(n.shape.length===2&&t.shape.length===2)a[0]===a[1]?u=n.mul(t).sum(a[0]):u=n.transpose([1,0]).mul(t).sum(a[1]);else{var c=a[0]!==n.shape.length-1,h=a[1]===t.shape.length-1;u=n.matMul(t,c,h)}if(s>0){var d=void 0;i>r?d=i+r-3:d=i-1;for(var p=[],l=d;l<d+s;++l)p.push(l);u=u.squeeze(p)}return u.shape.length===1&&(u=u.expandDims(1)),u})}var pb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.axes=e.axes,i.normalize=e.normalize==null?!1:e.normalize,i.supportsMasking=!0,i.reshapeRequired=!1,i}return t.prototype.build=function(e){y.util.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var i=e[0],r=e[1];if(i.length>3||r.length>3)throw new Te("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(i,r);if(i[a[0]]!==r[a[1]])throw new M("Dimension incompatibility: "+(i[a[0]]+" !== "+r[a[1]]))},t.prototype.mergeFunction=function(e){if(e.length!==2)throw new M("A `Dot` layer must be called on exactly 2 inputs, "+("but received "+e.length+" input(s)."));var i=e[0],r=e[1],a;return Array.isArray(this.axes)?a=this.axes.map(function(s,o){return qa(s,e[o].shape.length)}):a=[qa(this.axes,i.shape.length),qa(this.axes,r.shape.length)],this.normalize&&(i=co(i,a[0]),r=co(r,a[1])),a4(i,r,a)},t.prototype.interpretAxes=function(e,i){var r;return Array.isArray(this.axes)?r=this.axes:r=[qa(this.axes,e.length),qa(this.axes,i.length)],r},t.prototype.computeOutputShape=function(e){y.util.assert(Array.isArray(e)&&e.length===2&&Array.isArray(e[0])&&Array.isArray(e[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var i=e[0].slice(),r=e[1].slice();if(i.length>3||r.length>3)throw new Te("Dot layer does not support tensors of 4D or higher rank yet.");var a=this.interpretAxes(i,r);i.splice(a[0],1),r.splice(a[1],1),r.splice(0,1);var s=i.concat(r);return s.length===1&&s.push(1),s},t.prototype.computeMask=function(e,i){return null},t.prototype.getConfig=function(){var e={axes:this.axes,normalize:this.normalize},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="Dot",t}(Zi);y.serialization.registerClass(pb);var fb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.supportsMasking=!0,i.stddev=e.stddev,i}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={stddev:this.stddev};return Object.assign(i,e),i},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e),s=function(){return ro(a.shape,0,r.stddev).add(a)},o=za(s,function(){return a},i.training||!1);return o})},t.className="GaussianNoise",t}(De);y.serialization.registerClass(fb);var mb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.supportsMasking=!0,i.rate=e.rate,i}return t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={rate:this.rate};return Object.assign(i,e),i},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i);var a=xe(e);if(r.rate>0&&r.rate<1){var s=function(){var o=Math.sqrt(r.rate/(1-r.rate));return a.mul(ro(a.shape,1,o))};return za(s,function(){return a},i.training||!1)}return a})},t.className="GaussianDropout",t}(De);y.serialization.registerClass(mb);var gb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.supportsMasking=!0,i.rate=e.rate,i.noiseShape=e.noiseShape,i}return t.prototype._getNoiseShape=function(e){return this.noiseShape||xe(e).shape},t.prototype.computeOutputShape=function(e){return e},t.prototype.getConfig=function(){var e=n.prototype.getConfig.call(this),i={rate:this.rate};return Object.assign(i,e),i},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){if(r.rate<1&&r.rate>0){var a=r._getNoiseShape(e),s=function(){var o=xe(e),l=1.6732632423543772,u=1.0507009873554805,c=-l*u,h=y.greaterEqual(y.randomUniform(a),r.rate);h=Wa(h,"float32");var d=Math.pow((1-r.rate)*(1+r.rate*Math.pow(c,2)),-.5),p=-d*c*r.rate,f=o.mul(h).add(h.add(-1).mul(c));return f.mul(d).add(p)};return za(s,function(){return xe(e)},i.training||!1)}return e})},t.className="AlphaDropout",t}(De);y.serialization.registerClass(gb);function Ga(n,t,e,i,r,a){a===void 0&&(a=.001);var s;if(n.rank===2)s=y.batchNorm2d(n,t,e,i,r,a);else if(n.rank===3)s=y.batchNorm3d(n,t,e,i,r,a);else if(n.rank===4)s=y.batchNorm4d(n,t,e,i,r,a);else throw new Te("batchNormalization is not implemented for array of rank "+n.rank+" yet");return s}function s4(n,t,e,i,r){return r===void 0&&(r=.001),y.tidy(function(){var a=y.moments(n,i),s=a.mean,o=a.variance,l=Ga(n,s,o,e,t,r);return[l,s,o]})}function o4(n,t,e,i,r){return r===void 0&&(r=.001),y.tidy(function(){for(var a=y.moments(n,i),s=a.mean,o=a.variance,l=[],u=0,c=pn(0,n.rank);u<c.length;u++){var h=c[u];i.indexOf(h)!==-1?l.push(1):l.push(n.shape[h])}var d=s.reshape(l),p=o.reshape(l),f=t==null?null:t.reshape(l),m=e==null?null:e.reshape(l),g=Ga(n,d,p,m,f,r);return[g,s,o]})}function l4(n,t,e,i,r){return r===void 0&&(r=.001),y.util.arraysEqual(i.slice().sort(),pn(0,n.rank-1))?s4(n,t,e,i,r):o4(n,t,e,i,r)}var vb=function(n){Q(t,n);function t(e){var i=this;return e==null&&(e={}),i=n.call(this,e)||this,i.supportsMasking=!0,i.axis=e.axis==null?-1:e.axis,i.momentum=e.momentum==null?.99:e.momentum,i.epsilon=e.epsilon==null?.001:e.epsilon,i.center=e.center==null?!0:e.center,i.scale=e.scale==null?!0:e.scale,i.betaInitializer=et(e.betaInitializer||"zeros"),i.gammaInitializer=et(e.gammaInitializer||"ones"),i.movingMeanInitializer=et(e.movingMeanInitializer||"zeros"),i.movingVarianceInitializer=et(e.movingVarianceInitializer||"ones"),i.betaConstraint=yt(e.betaConstraint),i.gammaConstraint=yt(e.gammaConstraint),i.betaRegularizer=tt(e.betaRegularizer),i.gammaRegularizer=tt(e.gammaRegularizer),i}return t.prototype.build=function(e){var i;e=Ye(e);var r=this.axis>=0?this.axis:this.axis+e.length,a=e[r];if(a==null)throw new M("Axis "+r+" of input tensor should have a defined dimension but the layer received an input with shape "+(JSON.stringify(e)+"."));this.inputSpec=[new At({ndim:e.length,axes:(i={},i[r]=a,i)})];var s=[a];this.scale&&(this.gamma=this.addWeight("gamma",s,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",s,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",s,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",s,null,this.movingVarianceInitializer,null,!1),this.built=!0},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=i.training==null?!1:i.training,s=xe(e),o=s.shape,l=o.length,u=pn(0,l),c=r.axis>=0?r.axis:r.axis+l;u.splice(c,1);var h=Yi(1,l);h[c]=o[c];var d=u.slice();d.sort();var p=!y.util.arraysEqual(d,pn(0,l).slice(0,l-1)),f=function(){if(p){var L=r.movingMean.read().reshape(h),x=r.movingVariance.read().reshape(h),C=r.center?r.beta.read().reshape(h):null,R=r.scale?r.gamma.read().reshape(h):null;return Ga(s,L,x,C,R,r.epsilon)}else return Ga(s,r.movingMean.read(),r.movingVariance.read(),r.beta==null?null:r.beta.read(),r.gamma==null?null:r.gamma.read(),r.epsilon)};if(!a)return f();var m=l4(s,r.gamma.read(),r.beta.read(),u,r.epsilon),g=m[0],v=m[1],b=m[2],w=function(L,x,C){y.tidy(function(){var R=1-C,D=L.read(),k=D.sub(x).mul(R);L.write(D.sub(k))})},S=function(){w(r.movingMean,v,r.momentum),w(r.movingVariance,b,r.momentum)};return S(),g})},t.prototype.getConfig=function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:at(this.betaInitializer),gammaInitializer:at(this.gammaInitializer),movingMeanInitializer:at(this.movingMeanInitializer),movingVarianceInitializer:at(this.movingVarianceInitializer),betaRegularizer:Ke(this.betaRegularizer),gammaRegularizer:Ke(this.gammaRegularizer),betaConstraint:vt(this.betaConstraint),gammaConstraint:vt(this.gammaConstraint)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="BatchNormalization",t}(De);y.serialization.registerClass(vb);var yb=function(n){Q(t,n);function t(e){var i=this;if(e==null&&(e={}),i=n.call(this,e)||this,i.axis=e.axis==null?-1:e.axis,typeof i.axis=="number"){if(!Number.isInteger(i.axis))throw new Error("Expected axis to be an integer, but received "+i.axis)}else if(Array.isArray(i.axis))for(var r=0,a=i.axis;r<a.length;r++){var s=a[r];if(!Number.isInteger(s))throw new Error("Expected axis to be an array of integers, "+("but received "+JSON.stringify(i.axis)))}else throw new Error("Expected axis to be an integer or an array of integers, "+("but received "+JSON.stringify(i.axis)));return i.epsilon=e.epsilon==null?.001:e.epsilon,i.center=e.center==null?!0:e.center,i.scale=e.scale==null?!0:e.scale,i.betaInitializer=et(e.betaInitializer||"zeros"),i.gammaInitializer=et(e.gammaInitializer||"ones"),i.betaRegularizer=tt(e.betaRegularizer),i.gammaRegularizer=tt(e.gammaRegularizer),i.supportsMasking=!0,i}return t.prototype.build=function(e){e=Ye(e);var i=e.length;typeof this.axis=="number"&&(this.axis=[this.axis]);for(var r=0;r<this.axis.length;++r)this.axis[r]<0&&(this.axis[r]+=i);for(var a=0,s=this.axis;a<s.length;a++){var o=s[a];if(o<0||o>=i)throw new Error("Invalid axis: "+o)}if(this.axis.length!==hi(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var l=this.axis.map(function(c){return e[c]}),u=!0;this.scale?this.gamma=this.addWeight("gamma",l,"float32",this.gammaInitializer,this.gammaRegularizer,u):this.gamma=null,this.center?this.beta=this.addWeight("beta",l,"float32",this.betaInitializer,this.betaRegularizer,u):this.beta=null,this.built=!0},t.prototype.call=function(e,i){var r=this,a=xe(e),s=a.shape,o=s.length;return y.tidy(function(){for(var l=!0,u=y.moments(a,r.axis,l),c=u.mean,h=u.variance,d=Yi(1,o),p=0,f=r.axis;p<f.length;p++){var m=f[p];d[m]=s[m]}for(var g=function(x){return x!=null&&x.shape.length!==o&&r.axis!==[o-1]?x.reshape(d):x},v=g(r.gamma.read()),b=g(r.beta.read()),w=[],S=[],L=0;L<o;++L)r.axis.indexOf(L)!==-1?(w.push(s[L]),S.push(1)):(w.push(1),S.push(s[L]));return c=c.tile(w),h=h.tile(w),v=v.tile(S),b=b.tile(S),Ga(a,c,h,b,v,r.epsilon)})},t.prototype.getConfig=function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:at(this.betaInitializer),gammaInitializer:at(this.gammaInitializer),betaRegularizer:Ke(this.betaRegularizer),gammaRegularizer:Ke(this.gammaRegularizer)},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="LayerNormalization",t}(De);y.serialization.registerClass(yb);function u4(n,t,e){return y.tidy(function(){if(n.rank!==4)throw new M("temporalPadding expects input tensor to be 4-D, but received a "+(n.rank+"-D tensor."));if(t==null&&(t=[[1,1],[1,1]]),t.length!==2||t[0].length!==2||t[1].length!==2)throw new M("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(e==null&&(e=dn()),e!=="channelsLast"&&e!=="channelsFirst")throw new M("Unknown data format: "+e+". Supported data formats are 'channelsLast' and 'channelsFirst.");var i;return e==="channelsFirst"?i=[[0,0],[0,0],t[0],t[1]]:i=[[0,0],t[0],t[1],[0,0]],y.pad(n,i)})}var bb=function(n){Q(t,n);function t(e){var i=this;if(e==null&&(e={}),i=n.call(this,e)||this,i.dataFormat=e.dataFormat==null?dn():e.dataFormat,e.padding==null)i.padding=[[1,1],[1,1]];else if(typeof e.padding=="number")i.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,e.padding.length!==2)throw new M("ZeroPadding2D expects padding to be a length-2 array, but "+("received a length-"+e.padding.length+" array."));var r=void 0,a=void 0;if(typeof e.padding[0]=="number")r=[e.padding[0],e.padding[0]],a=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,e.padding[0].length!==2)throw new M("ZeroPadding2D expects height padding to be a length-2 array, "+("but received a length-"+e.padding[0].length+" array."));if(r=e.padding[0],e.padding[1].length!==2)throw new M("ZeroPadding2D expects width padding to be a length-2 array, "+("but received a length-"+e.padding[1].length+" array."));a=e.padding[1]}i.padding=[r,a]}return i.inputSpec=[new At({ndim:4})],i}return t.prototype.computeOutputShape=function(e){e=Ye(e);var i,r;return this.dataFormat==="channelsFirst"?(e[2]!=null&&e[2]>=0?i=e[2]+this.padding[0][0]+this.padding[0][1]:i=null,e[3]!=null&&e[3]>=0?r=e[3]+this.padding[1][0]+this.padding[1][1]:r=null,[e[0],e[1],i,r]):(e[1]!=null&&e[1]>=0?i=e[1]+this.padding[0][0]+this.padding[0][1]:i=null,e[2]!=null&&e[2]>=0?r=e[2]+this.padding[1][0]+this.padding[1][1]:r=null,[e[0],i,r,e[3]])},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){return u4(xe(e),r.padding,r.dataFormat)})},t.prototype.getConfig=function(){var e={padding:this.padding,dataFormat:this.dataFormat},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.className="ZeroPadding2D",t}(De);y.serialization.registerClass(bb);function Io(n,t,e,i,r,a){return y.tidy(function(){ut(r),Rv(a),Qt(i),e==null&&(e=[1,1]),i==null&&(i="valid"),r==null&&(r=dn()),a==null&&(a="max"),n=zh(n,r);var s,o=i==="same"?"same":"valid";return a==="max"?s=y.maxPool(n,t,e,o):s=y.avgPool(n,t,e,o),r==="channelsFirst"&&(s=y.transpose(s,[0,3,1,2])),s})}function wb(n,t,e,i,r,a){return y.tidy(function(){ut(r),Rv(a),Qt(i),e==null&&(e=[1,1,1]),i==null&&(i="valid"),r==null&&(r=dn()),a==null&&(a="max"),n=Uy(n,r);var s,o=i==="same"?"same":"valid";return a==="max"?s=y.maxPool3d(n,t,e,o):s=y.avgPool3d(n,t,e,o),r==="channelsFirst"&&(s=y.transpose(s,[0,4,1,2,3])),s})}var Sb=function(n){Q(t,n);function t(e){var i=this;if(e.poolSize==null&&(e.poolSize=2),i=n.call(this,e)||this,typeof e.poolSize=="number")i.poolSize=[e.poolSize];else if(Array.isArray(e.poolSize)&&e.poolSize.length===1&&typeof e.poolSize[0]=="number")i.poolSize=e.poolSize;else throw new M("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+(""+JSON.stringify(e.poolSize)));if(It(i.poolSize,"poolSize"),e.strides==null)i.strides=i.poolSize;else if(typeof e.strides=="number")i.strides=[e.strides];else if(Array.isArray(e.strides)&&e.strides.length===1&&typeof e.strides[0]=="number")i.strides=e.strides;else throw new M("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+(""+JSON.stringify(e.strides)));return It(i.strides,"strides"),i.padding=e.padding==null?"valid":e.padding,Qt(i.padding),i.inputSpec=[new At({ndim:3})],i}return t.prototype.computeOutputShape=function(e){e=Ye(e);var i=gn(e[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],i,e[2]]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){r.invokeCallHook(e,i),e=Ua(xe(e),2);var a=r.poolingFunction(xe(e),[r.poolSize[0],1],[r.strides[0],1],r.padding,"channelsLast");return y.squeeze(a,[2])})},t.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t}(De),Lb=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ut(s),Qt(a),Io(e,i,r,a,s,"max")},t.className="MaxPooling1D",t}(Sb);y.serialization.registerClass(Lb);var Ib=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ut(s),Qt(a),Io(e,i,r,a,s,"avg")},t.className="AveragePooling1D",t}(Sb);y.serialization.registerClass(Ib);var Ab=function(n){Q(t,n);function t(e){var i=this;if(e.poolSize==null&&(e.poolSize=[2,2]),i=n.call(this,e)||this,i.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],e.strides==null)i.strides=i.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==2)throw new M("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+(e.strides.length+"."));i.strides=e.strides}else i.strides=[e.strides,e.strides];return It(i.poolSize,"poolSize"),It(i.strides,"strides"),i.padding=e.padding==null?"valid":e.padding,i.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,ut(i.dataFormat),Qt(i.padding),i.inputSpec=[new At({ndim:4})],i}return t.prototype.computeOutputShape=function(e){e=Ye(e);var i=this.dataFormat==="channelsFirst"?e[2]:e[1],r=this.dataFormat==="channelsFirst"?e[3]:e[2];return i=gn(i,this.poolSize[0],this.padding,this.strides[0]),r=gn(r,this.poolSize[1],this.padding,this.strides[1]),this.dataFormat==="channelsFirst"?[e[0],e[1],i,r]:[e[0],i,r,e[3]]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){return r.invokeCallHook(e,i),r.poolingFunction(xe(e),r.poolSize,r.strides,r.padding,r.dataFormat)})},t.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t}(De),Tb=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ut(s),Qt(a),Io(e,i,r,a,s,"max")},t.className="MaxPooling2D",t}(Ab);y.serialization.registerClass(Tb);var Nb=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ut(s),Qt(a),Io(e,i,r,a,s,"avg")},t.className="AveragePooling2D",t}(Ab);y.serialization.registerClass(Nb);var xb=function(n){Q(t,n);function t(e){var i=this;if(e.poolSize==null&&(e.poolSize=[2,2,2]),i=n.call(this,e)||this,i.poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],e.strides==null)i.strides=i.poolSize;else if(Array.isArray(e.strides)){if(e.strides.length!==3)throw new M("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+(e.strides.length+"."));i.strides=e.strides}else i.strides=[e.strides,e.strides,e.strides];return It(i.poolSize,"poolSize"),It(i.strides,"strides"),i.padding=e.padding==null?"valid":e.padding,i.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,ut(i.dataFormat),Qt(i.padding),i.inputSpec=[new At({ndim:5})],i}return t.prototype.computeOutputShape=function(e){e=Ye(e);var i=this.dataFormat==="channelsFirst"?e[2]:e[1],r=this.dataFormat==="channelsFirst"?e[3]:e[2],a=this.dataFormat==="channelsFirst"?e[4]:e[3];return i=gn(i,this.poolSize[0],this.padding,this.strides[0]),r=gn(r,this.poolSize[1],this.padding,this.strides[1]),a=gn(a,this.poolSize[2],this.padding,this.strides[2]),this.dataFormat==="channelsFirst"?[e[0],e[1],i,r,a]:[e[0],i,r,a,e[4]]},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){return r.invokeCallHook(e,i),r.poolingFunction(xe(e),r.poolSize,r.strides,r.padding,r.dataFormat)})},t.prototype.getConfig=function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t}(De),Cb=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ut(s),Qt(a),wb(e,i,r,a,s,"max")},t.className="MaxPooling3D",t}(xb);y.serialization.registerClass(Cb);var Rb=function(n){Q(t,n);function t(e){return n.call(this,e)||this}return t.prototype.poolingFunction=function(e,i,r,a,s){return ut(s),Qt(a),wb(e,i,r,a,s,"avg")},t.className="AveragePooling3D",t}(xb);y.serialization.registerClass(Rb);var Ob=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.inputSpec=[new At({ndim:3})],i}return t.prototype.computeOutputShape=function(e){return[e[0],e[2]]},t.prototype.call=function(e,i){throw new Te},t}(De),Eb=function(n){Q(t,n);function t(e){return n.call(this,e||{})||this}return t.prototype.call=function(e,i){return y.tidy(function(){var r=xe(e);return y.mean(r,1)})},t.className="GlobalAveragePooling1D",t}(Ob);y.serialization.registerClass(Eb);var Db=function(n){Q(t,n);function t(e){return n.call(this,e||{})||this}return t.prototype.call=function(e,i){return y.tidy(function(){var r=xe(e);return y.max(r,1)})},t.className="GlobalMaxPooling1D",t}(Ob);y.serialization.registerClass(Db);var kb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.dataFormat=e.dataFormat==null?"channelsLast":e.dataFormat,ut(i.dataFormat),i.inputSpec=[new At({ndim:4})],i}return t.prototype.computeOutputShape=function(e){return e=e,this.dataFormat==="channelsLast"?[e[0],e[3]]:[e[0],e[1]]},t.prototype.call=function(e,i){throw new Te},t.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t}(De),Fb=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=xe(e);return r.dataFormat==="channelsLast"?y.mean(a,[1,2]):y.mean(a,[2,3])})},t.className="GlobalAveragePooling2D",t}(kb);y.serialization.registerClass(Fb);var Wb=function(n){Q(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=xe(e);return r.dataFormat==="channelsLast"?y.max(a,[1,2]):y.max(a,[2,3])})},t.className="GlobalMaxPooling2D",t}(kb);y.serialization.registerClass(Wb);var Ub=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.layer=e.layer,i}return t.prototype.build=function(e){this.built=!0},Object.defineProperty(t.prototype,"trainable",{get:function(){return this.layer!=null?this.layer.trainable:!1},set:function(e){this.layer!=null&&(this.layer.trainable=e)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.layer.trainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.layer.nonTrainableWeights},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"updates",{get:function(){return this.layer._updates},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"losses",{get:function(){return this.layer.losses},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.layer.getWeights()},t.prototype.setWeights=function(e){this.layer.setWeights(e)},t.prototype.getConfig=function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.prototype.setFastWeightInitDuringBuild=function(e){n.prototype.setFastWeightInitDuringBuild.call(this,e),this.layer!=null&&this.layer.setFastWeightInitDuringBuild(e)},t.fromConfig=function(e,i,r){r===void 0&&(r={});var a=i.layer,s=mn(a,r);delete i.layer;var o={layer:s};return Object.assign(o,i),new e(o)},t}(De),Bb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this;return i.supportsMasking=!0,i}return t.prototype.build=function(e){if(e=Ye(e),e.length<3)throw new M("TimeDistributed layer expects an input shape >= 3D, but received "+("input shape "+JSON.stringify(e)));this.inputSpec=[{shape:e}];var i=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(i),this.layer.built=!0),n.prototype.build.call(this,e)},t.prototype.computeOutputShape=function(e){e=Ye(e);var i=[e[0]].concat(e.slice(2)),r=this.layer.computeOutputShape(i),a=e[1];return[r[0],a].concat(r.slice(1))},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){e=xe(e);var a=function(l,u){var c=xe(r.layer.call(l,i));return[c,[]]},s=Ky(a,e,[],!1,null,null,!1,!0),o=s[1];return o})},t.className="TimeDistributed",t}(Ub);y.serialization.registerClass(Bb);function c4(n){Ur(tk,"BidirectionalMergeMode",n)}var h4="concat",zb=function(n){Q(t,n);function t(e){var i=n.call(this,e)||this,r=e.layer.getConfig(),a={};a.className=e.layer.getClassName(),a.config=r,i.forwardLayer=mn(a),r.goBackwards=!(r.goBackwards===!0);var s={};if(s.className=e.layer.getClassName(),s.config=r,i.backwardLayer=mn(s),i.forwardLayer.name="forward_"+i.forwardLayer.name,i.backwardLayer.name="backward_"+i.backwardLayer.name,i.mergeMode=e.mergeMode===void 0?h4:e.mergeMode,c4(i.mergeMode),e.weights)throw new Te("weights support is not implemented for Bidirectional layer yet.");return i._stateful=e.layer.stateful,i.returnSequences=e.layer.returnSequences,i.returnState=e.layer.returnState,i.supportsMasking=!0,i._trainable=!0,i.inputSpec=e.layer.inputSpec,i.numConstants=null,i}return Object.defineProperty(t.prototype,"trainable",{get:function(){return this._trainable},set:function(e){this._trainable=e,this.forwardLayer!=null&&(this.forwardLayer.trainable=e),this.backwardLayer!=null&&(this.backwardLayer.trainable=e)},enumerable:!0,configurable:!0}),t.prototype.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},t.prototype.setWeights=function(e){var i=e.length,r=Math.floor(i/2);this.forwardLayer.setWeights(e.slice(0,r)),this.backwardLayer.setWeights(e.slice(r))},t.prototype.computeOutputShape=function(e){var i=this.forwardLayer.computeOutputShape(e);Array.isArray(i)&&Array.isArray(i[0])||(i=[i]),i=i;var r,a,s;return this.returnState&&(s=i.slice(1)),r=i[0],r=r,this.mergeMode==="concat"?(r[r.length-1]*=2,a=[r]):this.mergeMode==null?a=[r,r.slice()]:a=[r],this.returnState?this.mergeMode==null?a.concat(s).concat(s.slice()):[r].concat(s).concat(s.slice()):zt(a)},t.prototype.apply=function(e,i){var r=i==null?null:i.initialState,a=i==null?null:i.constants;i==null&&(i={});var s=Yy(e,r,a,this.numConstants);if(e=s.inputs,r=s.initialState,a=s.constants,Array.isArray(e)&&(r=e.slice(1),e=e[0]),(r==null||r.length===0)&&a==null)return n.prototype.apply.call(this,e,i);var o=[],l=[];if(r!=null){var u=r.length;if(u%2>0)throw new M("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");i.initialState=r,o.push.apply(o,r);var c=r.map(function(w){return new At({shape:w.shape})});this.forwardLayer.stateSpec=c.slice(0,u/2),this.backwardLayer.stateSpec=c.slice(u/2),l.push.apply(l,c)}if(a!=null)throw new Te("Support for constants in Bidirectional layers is not implemented yet.");for(var h=o[0]instanceof fn,d=0,p=o;d<p.length;d++){var f=p[d];if(f instanceof fn!==h)throw new M("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(h){var m=[e].concat(o),g=this.inputSpec.concat(l),v=this.inputSpec;this.inputSpec=g;var b=n.prototype.apply.call(this,m,i);return this.inputSpec=v,b}else return n.prototype.apply.call(this,e,i)},t.prototype.call=function(e,i){var r=this;return y.tidy(function(){var a=i.initialState,s,o;if(a==null)s=r.forwardLayer.call(e,i),o=r.backwardLayer.call(e,i);else{var l=a.slice(0,a.length/2),u=a.slice(a.length/2);s=r.forwardLayer.call(e,Object.assign(i,{initialState:l})),o=r.backwardLayer.call(e,Object.assign(i,{initialState:u}))}var c;r.returnState&&(Array.isArray(s)&&(c=s.slice(1).concat(o.slice(1))),s=s[0],o=o[0]),r.returnSequences&&(o=y.reverse(o,1));var h;return r.mergeMode==="concat"?h=ch([s,o]):r.mergeMode==="sum"?h=y.add(s,o):r.mergeMode==="ave"?h=y.mul(.5,y.add(s,o)):r.mergeMode==="mul"?h=y.mul(s,o):r.mergeMode==null&&(h=[s,o]),r.returnState?r.mergeMode==null?h.concat(c):[h].concat(c):h})},t.prototype.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},t.prototype.build=function(e){var i=this;ji(this.forwardLayer.name,function(){i.forwardLayer.build(e)}),ji(this.backwardLayer.name,function(){i.backwardLayer.build(e)}),this.built=!0},t.prototype.computeMask=function(e,i){Array.isArray(i)&&(i=i[0]);var r;if(this.returnSequences?this.mergeMode==null?r=[i,i]:r=i:this.mergeMode==null?r=[null,null]:r=null,this.returnState){var a=this.forwardLayer.states,s=a.map(function(o){return null});return Array.isArray(r)?r.concat(s).concat(s):[r].concat(s).concat(s)}else return r},Object.defineProperty(t.prototype,"trainableWeights",{get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,"nonTrainableWeights",{get:function(){return this.forwardLayer.nonTrainableWeights.concat(this.backwardLayer.nonTrainableWeights)},enumerable:!0,configurable:!0}),t.prototype.setFastWeightInitDuringBuild=function(e){n.prototype.setFastWeightInitDuringBuild.call(this,e),this.forwardLayer!=null&&this.forwardLayer.setFastWeightInitDuringBuild(e),this.backwardLayer!=null&&this.backwardLayer.setFastWeightInitDuringBuild(e)},t.prototype.getConfig=function(){var e={mergeMode:this.mergeMode},i=n.prototype.getConfig.call(this);return Object.assign(e,i),e},t.fromConfig=function(e,i){var r=mn(i.layer);if(delete i.layer,i.numConstants!=null)throw new Te("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var a=i;return a.layer=r,new e(a)},t.className="Bidirectional",t}(Ub);y.serialization.registerClass(zb);function d4(n){return new Pa(n)}function p4(n){return new ky(n)}function f4(n){return new Oy(n)}function m4(n){return new Ey(n)}function g4(n){return new Dy(n)}function v4(n){return new Wy(n)}function y4(n){return new Fy(n)}function b4(n){return new Hy(n)}function w4(n){return new Ph(n)}function S4(n){return new _y(n)}function L4(n){return new Py(n)}function I4(n){return new My(n)}function A4(n){return new Vy(n)}function T4(n){return new qy(n)}function N4(n){return new Gy(n)}function x4(n){return new tb(n)}function C4(n){return new Qy(n)}function R4(n){return new qh(n)}function O4(n){return new Zy(n)}function E4(n){return new eb(n)}function D4(n){return new nb(n)}function k4(n){return new ib(n)}function F4(n){return new rb(n)}function W4(n){return new sb(n)}function U4(n){return new ob(n)}function B4(n){return new ub(n)}function z4(n){return new db(n)}function P4(n){return new cb(n)}function _4(n){return new hb(n)}function M4(n){return new lb(n)}function H4(n){return new pb(n)}function V4(n){return new vb(n)}function q4(n){return new yb(n)}function G4(n){return new bb(n)}function Gh(n){return new Ib(n)}function Y4(n){return Gh(n)}function K4(n){return Gh(n)}function Yh(n){return new Nb(n)}function j4(n){return Yh(n)}function $4(n){return Yh(n)}function Kh(n){return new Rb(n)}function X4(n){return Kh(n)}function J4(n){return Kh(n)}function Z4(n){return new Eb(n)}function Q4(n){return new Fb(n)}function Pb(n){return new Db(n)}function _b(n){return new Wb(n)}function Mb(n){return new Lb(n)}function Hb(n){return new Tb(n)}function eF(n){return new Cb(n)}function tF(n){return new $y(n)}function nF(n){return new Hh(n)}function iF(n){return new Xy(n)}function rF(n){return new Lo(n)}function aF(n){return new jy(n)}function sF(n){return new Mh(n)}function oF(n){return new Jy(n)}function lF(n){return new Vh(n)}function uF(n){return new yi(n)}function cF(n){return new _h(n)}function hF(n){return new zb(n)}function dF(n){return new Bb(n)}var pF=Pb,fF=_b,mF=Mb,gF=Hb;function vF(n){return new fb(n)}function yF(n){return new mb(n)}function bF(n){return new gb(n)}function wF(n){return new ab(n)}var SF={__proto__:null,inputLayer:d4,elu:p4,reLU:f4,leakyReLU:m4,prelu:g4,softmax:v4,thresholdedReLU:y4,conv1d:b4,conv2d:w4,conv2dTranspose:S4,conv3d:L4,separableConv2d:I4,cropping2D:A4,upSampling2d:T4,depthwiseConv2d:N4,activation:x4,dense:C4,dropout:R4,spatialDropout1d:O4,flatten:E4,repeatVector:D4,reshape:k4,permute:F4,embedding:W4,add:U4,average:B4,concatenate:z4,maximum:P4,minimum:_4,multiply:M4,dot:H4,batchNormalization:V4,layerNormalization:q4,zeroPadding2d:G4,averagePooling1d:Gh,avgPool1d:Y4,avgPooling1d:K4,averagePooling2d:Yh,avgPool2d:j4,avgPooling2d:$4,averagePooling3d:Kh,avgPool3d:X4,avgPooling3d:J4,globalAveragePooling1d:Z4,globalAveragePooling2d:Q4,globalMaxPooling1d:Pb,globalMaxPooling2d:_b,maxPooling1d:Mb,maxPooling2d:Hb,maxPooling3d:eF,gru:tF,gruCell:nF,lstm:iF,lstmCell:rF,simpleRNN:aF,simpleRNNCell:sF,convLstm2d:oF,convLstm2dCell:lF,rnn:uF,stackedRNNCells:cF,bidirectional:hF,timeDistributed:dF,globalMaxPool1d:pF,globalMaxPool2d:fF,maxPool1d:mF,maxPool2d:gF,Layer:De,RNN:yi,RNNCell:Vr,input:Ty,gaussianNoise:vF,gaussianDropout:yF,alphaDropout:bF,masking:wF};function LF(n,t){return Ah(n,t)}function IF(n,t){return ly(n,t)}function AF(n,t){return uy(n,t)}function TF(n,t){return Th(n,t)}function NF(n,t){return Nh(n,t)}function xF(n,t){return oy(n,t)}function CF(n,t){return Xk(n,t)}function RF(n,t){return Lh(n,t)}function OF(n,t){return ho(n,t)}function EF(n,t){return _r(n,t)}function DF(n,t){return _r(n,t)}function kF(n,t){return _r(n,t)}function FF(n,t){return Xi(n,t)}function WF(n,t){return Xi(n,t)}function UF(n,t){return Xi(n,t)}var BF={__proto__:null,binaryAccuracy:LF,binaryCrossentropy:IF,sparseCategoricalAccuracy:AF,categoricalAccuracy:TF,categoricalCrossentropy:NF,precision:xF,recall:CF,cosineProximity:RF,meanAbsoluteError:OF,meanAbsolutePercentageError:EF,MAPE:DF,mape:kF,meanSquaredError:FF,MSE:WF,mse:UF};var zF={__proto__:null,modelFromJSON:D3};function PF(n){return new bo(n)}function _F(n){return Z3(n)}function MF(n){return Q3(n)}var HF={__proto__:null,l1l2:PF,l1:_F,l2:MF};var Vb=function(n){Q(t,n);function t(){var e=n!==null&&n.apply(this,arguments)||this;return e.model=null,e}return t.prototype.setModel=function(e){if(!(e instanceof mi))throw new Error("model must be a LayersModel, not some other Container");this.model=e},t}(Pr);function Ao(n,t){return n<t}function qb(n,t){return n>t}var Gb=function(n){Q(t,n);function t(e){var i=n.call(this)||this;if(e==null&&(e={}),e.restoreBestWeights)throw new Te("restoreBestWeights = True is not implemented in EarlyStopping yet.");return i.monitor=e.monitor||"val_loss",i.minDelta=Math.abs(e.minDelta||0),i.patience=e.patience||0,i.verbose=e.verbose||0,i.mode=e.mode||"auto",i.baseline=e.baseline,["auto","min","max"].indexOf(i.mode)===-1&&(console.warn("EarlyStopping mode '"+i.mode+"' is invalid. Falling back to mode 'auto'."),i.mode="auto"),i.mode==="min"?i.monitorFunc=Ao:i.mode==="max"||i.monitor.indexOf("acc")!==-1?i.monitorFunc=qb:i.monitorFunc=Ao,i.monitorFunc===Ao&&(i.minDelta*=-1),i}return t.prototype.onTrainBegin=function(e){return Le(this,void 0,void 0,function(){return ye(this,function(i){return this.wait=0,this.stoppedEpoch=0,this.baseline!=null?this.best=this.baseline:this.best=this.monitorFunc===Ao?Infinity:-Infinity,[2]})})},t.prototype.onEpochEnd=function(e,i){return Le(this,void 0,void 0,function(){var r;return ye(this,function(a){switch(a.label){case 0:return[4,fi(i)];case 1:return a.sent(),r=this.getMonitorValue(i),r==null?[2]:(this.monitorFunc(r-this.minDelta,this.best)?(this.best=r,this.wait=0):(this.wait++,this.wait>=this.patience&&(this.stoppedEpoch=e,this.model.stopTraining=!0)),[2])}})})},t.prototype.onTrainEnd=function(e){return Le(this,void 0,void 0,function(){return ye(this,function(i){return this.stoppedEpoch>0&&this.verbose&&console.log("Epoch "+this.stoppedEpoch+": early stopping."),[2]})})},t.prototype.getMonitorValue=function(e){e==null&&(e={});var i=e[this.monitor];return i==null&&console.warn("Metric for EarlyStopping "+this.monitor+" is not available. "+("Available metrics are: "+Object.keys(e))),i},t}(Vb);function VF(n){return new Gb(n)}var qF={earlyStopping:VF};$e.Callback=Vb;$e.CallbackList=ey;$e.CustomCallback=ny;$e.EarlyStopping=Gb;$e.History=ty;$e.InputSpec=At;$e.LayerVariable=$v;$e.LayersModel=mi;$e.RNN=yi;$e.Sequential=Wh;$e.SymbolicTensor=fn;$e.callbacks=qF;$e.constraints=JD;$e.initializers=Ek;$e.input=Ty;$e.layers=SF;$e.loadLayersModel=z3;$e.metrics=BF;$e.model=U3;$e.models=zF;$e.registerCallbackConstructor=P3;$e.regularizers=HF;$e.sequential=B3;$e.version_layers=Rh});var ow=ge(Qi=>{"use strict";Object.defineProperty(Qi,"__esModule",{value:!0});var B=Gi();var Kb=Object.assign||function(t){for(var e,i=1,r=arguments.length;i<r;i++){e=arguments[i];for(var a in e)Object.prototype.hasOwnProperty.call(e,a)&&(t[a]=e[a])}return t};function kn(n,t,e,i){return new(e||(e=Promise))(function(r,a){function s(u){try{l(i.next(u))}catch(c){a(c)}}function o(u){try{l(i.throw(u))}catch(c){a(c)}}function l(u){u.done?r(u.value):new e(function(c){c(u.value)}).then(s,o)}l((i=i.apply(n,t||[])).next())})}function vn(n,t){var e={label:0,sent:function(){if(a[0]&1)throw a[1];return a[1]},trys:[],ops:[]},i,r,a,s;return s={next:o(0),throw:o(1),return:o(2)},typeof Symbol=="function"&&(s[Symbol.iterator]=function(){return this}),s;function o(u){return function(c){return l([u,c])}}function l(u){if(i)throw new TypeError("Generator is already executing.");for(;e;)try{if(i=1,r&&(a=r[u[0]&2?"return":u[0]?"throw":"next"])&&!(a=a.call(r,u[1])).done)return a;(r=0,a)&&(u=[0,a.value]);switch(u[0]){case 0:case 1:a=u;break;case 4:return e.label++,{value:u[1],done:!1};case 5:e.label++,r=u[1],u=[0];continue;case 7:u=e.ops.pop(),e.trys.pop();continue;default:if(!(a=e.trys,a=a.length>0&&a[a.length-1])&&(u[0]===6||u[0]===2)){e=0;continue}if(u[0]===3&&(!a||u[1]>a[0]&&u[1]<a[3])){e.label=u[1];break}if(u[0]===6&&e.label<a[1]){e.label=a[1],a=u;break}if(a&&e.label<a[2]){e.label=a[2],e.ops.push(u);break}a[2]&&e.ops.pop(),e.trys.pop();continue}u=t.call(n,e)}catch(c){u=[6,c],r=0}finally{i=a=0}if(u[0]&5)throw u[1];return{value:u[0]?u[1]:void 0,done:!0}}}var yn;(function(n){n[n.DT_INVALID=0]="DT_INVALID",n[n.DT_FLOAT=1]="DT_FLOAT",n[n.DT_DOUBLE=2]="DT_DOUBLE",n[n.DT_INT32=3]="DT_INT32",n[n.DT_UINT8=4]="DT_UINT8",n[n.DT_INT16=5]="DT_INT16",n[n.DT_INT8=6]="DT_INT8",n[n.DT_STRING=7]="DT_STRING",n[n.DT_COMPLEX64=8]="DT_COMPLEX64",n[n.DT_INT64=9]="DT_INT64",n[n.DT_BOOL=10]="DT_BOOL",n[n.DT_QINT8=11]="DT_QINT8",n[n.DT_QUINT8=12]="DT_QUINT8",n[n.DT_QINT32=13]="DT_QINT32",n[n.DT_BFLOAT16=14]="DT_BFLOAT16",n[n.DT_FLOAT_REF=101]="DT_FLOAT_REF",n[n.DT_DOUBLE_REF=102]="DT_DOUBLE_REF",n[n.DT_INT32_REF=103]="DT_INT32_REF",n[n.DT_UINT8_REF=104]="DT_UINT8_REF",n[n.DT_INT16_REF=105]="DT_INT16_REF",n[n.DT_INT8_REF=106]="DT_INT8_REF",n[n.DT_STRING_REF=107]="DT_STRING_REF",n[n.DT_COMPLEX64_REF=108]="DT_COMPLEX64_REF",n[n.DT_INT64_REF=109]="DT_INT64_REF",n[n.DT_BOOL_REF=110]="DT_BOOL_REF",n[n.DT_QINT8_REF=111]="DT_QINT8_REF",n[n.DT_QUINT8_REF=112]="DT_QUINT8_REF",n[n.DT_QINT32_REF=113]="DT_QINT32_REF",n[n.DT_BFLOAT16_REF=114]="DT_BFLOAT16_REF"})(yn||(yn={}));var jb;(function(n){var t;(function(e){e[e.LEGACY=0]="LEGACY",e[e.V1=1]="V1",e[e.V2=2]="V2"})(t=n.CheckpointFormatVersion||(n.CheckpointFormatVersion={}))})(jb||(jb={}));var jh={};function GF(n,t){var e={tfOpName:n,category:"custom",inputs:[],attrs:[],customExecutor:t};jh[n]=e}function $b(n){return jh[n]}function YF(n){delete jh[n]}function A(n,t,e,i){var r=t.inputParams[n];if(r&&r.inputIndexStart!==void 0){var a=r.inputIndexStart,s=r.inputIndexEnd===0?void 0:r.inputIndexEnd===void 0?a+1:r.inputIndexEnd;if(r.type==="tensor")return Pt(t.inputNames[r.inputIndexStart],e,i);if(r.type==="tensors"){var o=t.inputNames.slice(a,s);return o.map(function(h){return Pt(h,e,i)})}var l=Pt(t.inputNames.slice(a)[0],e,i),u=l.dataSync();return r.type==="number"?u[0]:B.util.toNestedArray(l.shape,u)}var c=t.attrParams[n];return c&&c.value}function Pt(n,t,e){var i=Yt(n),r=i[0],a=i[1],s=e.currentContextIds.find(function(o){return!!t[To(r,o)]});return s!==void 0?t[To(r,s)][a]:void 0}function KF(n,t,e){return t[To(n,e.currentContextId)]}function Kn(n,t){var e=Yt(n),i=e[0],r=e[1];return[To(i,t&&t.currentContextId),r]}function To(n,t){return t?n+"-"+t:n}function Yt(n){var t=n.split(":");if(t.length===1)return[n,0];var e=t[0];return[e,Number(t[t.length-1])]}function No(n,t,e){var i=A("pad",n,t,e);if(i==="explicit"){i=A("explicitPaddings",n,t,e);for(var r=[[0,0],[0,0],[0,0],[0,0]],a=0;a<4;a++)r[a][0]=i[a*2],r[a][1]=i[a*2+1];return r}return i}function jn(n){return n.kept?n:B.clone(n)}var jF=[{tfOpName:"Add",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddV2",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AddN",category:"arithmetic",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"BiasAdd",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sub",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"RealDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Div",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"DivNoNan",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorDiv",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mul",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Maximum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Minimum",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}]},{tfOpName:"Pow",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SquaredDifference",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Mod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"FloorMod",category:"arithmetic",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],$F={__proto__:null,json:jF};var XF=[{tfOpName:"Abs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atan2",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ceil",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ClipByValue",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"clip_value_min",name:"clipValueMin",type:"number"},{tfName:"clip_value_max",name:"clipValueMax",type:"number"}]},{tfOpName:"Complex",category:"basic_math",inputs:[{start:0,name:"real",type:"tensor"},{start:1,name:"imag",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ComplexAbs",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cos",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Cosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Elu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Exp",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Floor",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Imag",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Neg",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Real",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"Tout",name:"outputType",type:"dtype",notSupported:!0}]},{tfOpName:"Prelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"alpha",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Relu6",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"clipValueMin",name:"clipValueMin",type:"number",defaultValue:0},{tfName:"clipValueMax",name:"clipValueMax",type:"number",defaultValue:6}]},{tfOpName:"Selu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sigmoid",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sin",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Rsqrt",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Square",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tan",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Tanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Sign",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Round",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Expm1",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Log1p",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Reciprocal",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Softplus",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Asinh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Acosh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Atanh",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Erf",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Prod",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axes",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LeakyRelu",category:"basic_math",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"alpha",name:"alpha",type:"number",defaultValue:.2},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],JF={__proto__:null,json:XF};var ZF=[{tfOpName:"LoopCond",category:"control",inputs:[{start:0,name:"pred",type:"tensor"}]},{tfOpName:"Switch",category:"control",inputs:[{start:0,name:"data",type:"tensor"},{start:1,name:"pred",type:"tensor"}]},{tfOpName:"Merge",category:"control",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}]},{tfOpName:"Enter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"frame_name",name:"frameName",type:"string"},{tfName:"is_constant",name:"isConstant",type:"bool"}]},{tfOpName:"Exit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NextIteration",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayV3",category:"control",inputs:[{start:0,name:"size",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"dynamic_size",name:"dynamicSize",type:"bool"},{tfName:"clear_after_read",name:"clearAfterRead",type:"bool"},{tfName:"identical_element_shapes",name:"identicalElementShapes",type:"bool"},{tfName:"tensor_array_name",name:"name",type:"string"}]},{tfOpName:"TensorArrayWriteV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayReadV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"TensorArrayGatherV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape",name:"elementShape",type:"shape"}]},{tfOpName:"TensorArrayScatterV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"tensor",type:"tensor"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArrayConcatV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"element_shape_except0",name:"elementShapeExcept0",type:"shape",notSupported:!0}]},{tfOpName:"TensorArraySplitV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"tensor",type:"tensor"},{start:2,name:"lengths",type:"number[]"},{start:3,name:"flowIn",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"TensorArraySizeV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"},{start:1,name:"flowIn",type:"number"}]},{tfOpName:"TensorArrayCloseV3",category:"control",inputs:[{start:0,name:"tensorArrayId",type:"tensor"}]},{tfOpName:"StatelessIf",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"If",category:"control",inputs:[{start:0,name:"cond",type:"tensor"},{start:1,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"then_branch",name:"thenBranch",type:"func"},{tfName:"else_branch",name:"elseBranch",type:"func"}]},{tfOpName:"StatelessWhile",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"While",category:"control",inputs:[{start:0,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"cond",name:"cond",type:"func"},{tfName:"body",name:"body",type:"func"}]},{tfOpName:"TensorListScatter",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListScatterV2",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"},{start:3,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGather",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"indices",type:"number[]"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListGetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListSetItem",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"index",type:"number"},{start:2,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListReserve",category:"control",inputs:[{start:0,name:"elementShape",type:"shape"},{start:1,name:"numElements",type:"number"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListFromTensor",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListStack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"},{tfName:"num_elements",name:"numElements",type:"dtype"}]},{tfOpName:"TensorListSplit",category:"control",inputs:[{start:0,name:"tensor",type:"tensor"},{start:1,name:"elementShape",type:"shape"},{start:2,name:"lengths",type:"number[]"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListConcat",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"}],attrs:[{tfName:"element_shape",name:"elementShape",type:"shape"},{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPopBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"elementShape",type:"shape"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]},{tfOpName:"TensorListPushBack",category:"control",inputs:[{start:0,name:"tensorListId",type:"tensor"},{start:1,name:"tensor",type:"tensor"}],attrs:[{tfName:"element_dtype",name:"elementDType",type:"dtype"}]}],QF={__proto__:null,json:ZF};var eW=[{tfOpName:"AvgPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPoolWithArgmax",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"include_batch_in_index",name:"includeBatchInIndex",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"AvgPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MaxPool3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"ksize",name:"kernelSize",type:"number[]"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Conv1D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"stride",name:"stride",type:"number"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NWC"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"dilation",name:"dilation",type:"number",defaultValue:1}]},{tfOpName:"Conv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"useCudnnOnGpu",name:"useCudnnOnGpu",type:"bool"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"_FusedConv2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"use_cudnn_on_gpu",name:"useCudnnOnGpu",type:"bool",defaultValue:!0},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4}]},{tfOpName:"Conv2DBackpropInput",category:"convolution",inputs:[{start:2,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:0,name:"outputShape",type:"number[]"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]}]},{tfOpName:"DepthwiseConv2d",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"DepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"input",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"explicit_paddings",name:"explicitPaddings",type:"number[]",defaultValue:[]},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"FusedDepthwiseConv2dNative",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]",defaultValue:[1,1,1,1]},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]}]},{tfOpName:"Conv3D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"padding",name:"pad",type:"string"},{tfName:"data_format",name:"dataFormat",type:"string",defaultValue:"NHWC"},{tfName:"dilations",name:"dilations",type:"number[]"}]},{tfOpName:"Dilation2D",category:"convolution",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"filter",type:"tensor"}],attrs:[{tfName:"strides",name:"strides",type:"number[]"},{tfName:"rates",name:"dilations",type:"number[]"},{tfName:"padding",name:"pad",type:"string"}]}],tW={__proto__:null,json:eW};var nW=[{tfOpName:"Fill",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"},{start:1,name:"value",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"LinSpace",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"num",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"OneHot",category:"creation",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"depth",type:"number"},{start:2,name:"onValue",type:"number",defaultValue:1},{start:3,name:"offValue",type:"number",defaultValue:0}],attrs:[{tfName:"axis",name:"axis",type:"number",notSupported:!0},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Ones",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"OnesLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"RandomUniform",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"minval",name:"minval",type:"number",defaultValue:0},{tfName:"maxval",name:"maxval",type:"number",defaultValue:1},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"seed",name:"seed",type:"number",defaultValue:0},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Range",category:"creation",inputs:[{start:0,name:"start",type:"number"},{start:1,name:"stop",type:"number"},{start:2,name:"step",type:"number",defaultValue:0}],attrs:[{tfName:"Tidx",name:"dtype",type:"dtype"}]},{tfOpName:"TruncatedNormal",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"means",name:"mean",type:"number",defaultValue:0},{tfName:"stddev",name:"stdDev",type:"number",defaultValue:1},{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number",defaultValue:0,notSupported:!0},{tfName:"dtype",name:"dtype",type:"dtype"},{tfName:"T",name:"T",type:"number",notSupported:!0}]},{tfOpName:"Zeros",category:"creation",inputs:[{start:0,name:"shape",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"ZerosLike",category:"creation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype"}]},{tfOpName:"Multinomial",category:"creation",inputs:[{start:0,name:"logits",type:"tensor"},{start:1,name:"numSamples",type:"number"}],attrs:[{tfName:"seed",name:"seed",type:"number"},{tfName:"seed2",name:"seed2",type:"number"},{tfName:"T",name:"dtype",type:"dtype"},{tfName:"output_dtype",name:"output_dtype",type:"dtype"}]}],iW={__proto__:null,json:nW};var rW=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],aW={__proto__:null,json:rW};var sW=[{tfOpName:"TopKV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"k",type:"number"}],attrs:[{tfName:"sorted",name:"sorted",type:"bool"}]},{tfOpName:"Unique",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"UniqueV2",category:"evaluation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]}],oW={__proto__:null,json:sW};var lW=[{tfOpName:"PlaceholderWithDefault",category:"graph",inputs:[{start:0,name:"default",type:"tensor"}],attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Placeholder",category:"graph",attrs:[{tfName:"shape",name:"shape",type:"shape"},{tfName:"dtype",name:"dtype",type:"dtype"}]},{tfOpName:"Const",category:"graph"},{tfOpName:"Identity",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IdentityN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Snapshot",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Rank",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Size",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"Shape",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"ShapeN",category:"graph",inputs:[{start:0,end:0,name:"x",type:"tensors"}]},{tfOpName:"Print",category:"graph",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"data",type:"tensors"}],attrs:[{tfName:"message",name:"message",type:"string"},{tfName:"first_n",name:"firstN",type:"number",notSupported:!0},{tfName:"summarize",name:"summarize",type:"number",defaultValue:3}]},{tfOpName:"NoOp",category:"graph",inputs:[]},{tfOpName:"StopGradient",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"FakeQuantWithMinMaxVars",category:"graph",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"min",name:"min",type:"number"},{tfName:"max",name:"max",type:"number"}]}],uW={__proto__:null,json:lW};var cW=[{tfOpName:"ResizeBilinear",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ResizeNearestNeighbor",category:"image",inputs:[{start:0,name:"images",type:"tensor"},{start:1,name:"size",type:"number[]"}],attrs:[{tfName:"align_corners",name:"alignCorners",type:"bool"},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"CropAndResize",category:"image",inputs:[{start:0,name:"image",type:"tensor"},{start:1,name:"boxes",type:"tensor"},{start:2,name:"boxInd",type:"tensor"},{start:3,name:"cropSize",type:"number[]"}],attrs:[{tfName:"method",name:"method",type:"string"},{tfName:"extrapolation_value",name:"extrapolationValue",type:"number"}]}],hW={__proto__:null,json:cW};var dW=[{tfOpName:"Equal",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"NotEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Greater",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"GreaterEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Less",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LessEqual",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalAnd",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalNot",category:"logical",inputs:[{start:0,name:"a",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"LogicalOr",category:"logical",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Select",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"SelectV2",category:"logical",inputs:[{start:0,name:"condition",type:"tensor"},{start:1,name:"a",type:"tensor"},{start:2,name:"b",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],pW={__proto__:null,json:dW};var fW=[{tfOpName:"_FusedMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"},{start:2,end:0,name:"args",type:"tensors"}],attrs:[{tfName:"num_args",name:"numArgs",type:"number"},{tfName:"fused_ops",name:"fusedOps",type:"string[]",defaultValue:[]},{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:1e-4},{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"MatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"transpose_a",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"transpose_b",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMul",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"BatchMatMulV2",category:"matrices",inputs:[{start:0,name:"a",type:"tensor"},{start:1,name:"b",type:"tensor"}],attrs:[{tfName:"adj_x",name:"transposeA",type:"bool",defaultValue:!1},{tfName:"adj_y",name:"transposeB",type:"bool",defaultValue:!1},{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"Transpose",category:"matrices",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"perm",type:"number[]"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}],mW={__proto__:null,json:fW};var gW=[{tfOpName:"FusedBatchNorm",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV2",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"FusedBatchNormV3",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"scale",type:"tensor"},{start:2,name:"offset",type:"tensor"},{start:3,name:"mean",type:"tensor"},{start:4,name:"variance",type:"tensor"}],attrs:[{tfName:"epsilon",name:"epsilon",type:"number",defaultValue:.001},{tfName:"data_format",name:"dataFormat",type:"string",notSupported:!0}]},{tfOpName:"LRN",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"depth_radius",name:"radius",type:"number",defaultValue:5},{tfName:"bias",name:"bias",type:"number",defaultValue:1},{tfName:"alpha",name:"alpha",type:"number",defaultValue:1},{tfName:"beta",name:"beta",type:"number",defaultValue:.5}]},{tfOpName:"Softmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"LogSoftmax",category:"normalization",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"SparseToDense",category:"normalization",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!0,notSupported:!0}]}],vW={__proto__:null,json:gW};var yW=[{tfOpName:"Max",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Mean",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Min",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Sum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"All",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Any",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"ArgMax",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"ArgMin",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Prod",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}],attrs:[{tfName:"keep_dims",name:"keepDims",type:"bool"}]},{tfOpName:"Cumsum",category:"reduction",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}],attrs:[{tfName:"exclusive",name:"exclusive",type:"bool"},{tfName:"reverse",name:"reverse",type:"bool"}]}],bW={__proto__:null,json:yW};var wW=[{tfOpName:"ConcatV2",category:"slice_join",inputs:[{start:0,end:-1,name:"tensors",type:"tensors"},{start:-1,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"Concat",category:"slice_join",inputs:[{start:1,end:0,name:"tensors",type:"tensors"},{start:0,name:"axis",type:"number"}],attrs:[{tfName:"N",name:"n",type:"number",defaultValue:2}]},{tfOpName:"GatherV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Gather",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"validate_indices",name:"validateIndices",type:"bool",notSupported:!0}]},{tfOpName:"Reverse",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"dims",type:"bool",notSupported:!0}]},{tfOpName:"ReverseV2",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number[]"}]},{tfOpName:"Slice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"size",type:"number[]"}]},{tfOpName:"StridedSlice",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"begin",type:"number[]"},{start:2,name:"end",type:"number[]"},{start:3,name:"strides",type:"number[]"}],attrs:[{tfName:"begin_mask",name:"beginMask",type:"number",defaultValue:0},{tfName:"end_mask",name:"endMask",type:"number",defaultValue:0},{tfName:"new_axis_mask",name:"newAxisMask",type:"number",defaultValue:0},{tfName:"ellipsis_mask",name:"ellipsisMask",type:"number",defaultValue:0},{tfName:"shrink_axis_mask",name:"shrinkAxisMask",type:"number",defaultValue:0}]},{tfOpName:"Pack",category:"slice_join",inputs:[{start:0,end:0,name:"tensors",type:"tensors"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0}]},{tfOpName:"Unpack",category:"slice_join",inputs:[{start:0,name:"tensor",type:"tensor"}],attrs:[{tfName:"axis",name:"axis",type:"number",defaultValue:0},{tfName:"num",name:"num",type:"number",defaultValue:0,notSupported:!0}]},{tfOpName:"Tile",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"reps",type:"number[]"}]},{tfOpName:"Split",category:"slice_join",inputs:[{start:0,name:"axis",type:"number",defaultValue:0},{start:1,name:"x",type:"tensor"}],attrs:[{tfName:"num_split",name:"numOrSizeSplits",type:"number",defaultValue:1}]},{tfOpName:"SplitV",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"numOrSizeSplits",type:"number[]"},{start:2,name:"axis",type:"number",defaultValue:0}]},{tfOpName:"ScatterNd",category:"slice_join",inputs:[{start:0,name:"indices",type:"tensor"},{start:1,name:"values",type:"tensor"},{start:2,name:"shape",type:"number[]"}]},{tfOpName:"GatherNd",category:"slice_join",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"indices",type:"tensor"}]},{tfOpName:"SparseToDense",category:"slice_join",inputs:[{start:0,name:"sparseIndices",type:"tensor"},{start:1,name:"outputShape",type:"number[]"},{start:2,name:"sparseValues",type:"tensor"},{start:3,name:"defaultValue",type:"tensor"}],attrs:[{tfName:"validate_indices",name:"validateIndices",type:"bool",defaultValue:!1,notSupported:!0}]}],SW={__proto__:null,json:wW};var LW=[{tfOpName:"FFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"IFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"}]},{tfOpName:"RFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]},{tfOpName:"IRFFT",category:"spectral",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"fft_length",type:"number",notSupported:!0}]}],IW={__proto__:null,json:LW};var AW=[{tfOpName:"Cast",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"SrcT",name:"sdtype",type:"dtype",notSupported:!0},{tfName:"DstT",name:"dtype",type:"dtype"}]},{tfOpName:"ExpandDims",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"axis",type:"number"}]},{tfOpName:"Pad",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"}],attrs:[{tfName:"constant_value",name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"PadV2",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"padding",type:"number[]"},{start:2,name:"constantValue",type:"number",defaultValue:0}]},{tfOpName:"Reshape",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}]},{tfOpName:"Squeeze",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"axis",tfDeprecatedName:"squeeze_dims",name:"axis",type:"number[]"}]},{tfOpName:"SpaceToBatchND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"paddings",type:"number[]"}]},{tfOpName:"BatchToSpaceND",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"blockShape",type:"number[]"},{start:2,name:"crops",type:"number[]"}]},{tfOpName:"DepthToSpace",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"}],attrs:[{tfName:"block_size",name:"blockSize",type:"number"},{tfName:"data_format",name:"dataFormat",type:"string"}]},{tfOpName:"BroadcastTo",category:"transformation",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"shape",type:"number[]"}],attrs:[]}],TW={__proto__:null,json:AW};var Jb=function(){function n(){var t=[$F,JF,QF,tW,iW,aW,oW,pW,hW,uW,mW,vW,bW,SW,IW,TW],e=[].concat.apply([],t.map(function(i){return i.json}));this.opMappers=e.reduce(function(i,r){return i[r.tfOpName]=r,i},{})}return Object.defineProperty(n,"Instance",{get:function(){return this._instance||(this._instance=new this)},enumerable:!0,configurable:!0}),n.prototype.transformGraph=function(t,e){var i=this;e===void 0&&(e={});var r=t.node,a=[],s=[],o=[],l=r.reduce(function(g,v){return g[v.name]=i.mapNode(v),v.op.startsWith("Placeholder")?a.push(g[v.name]):v.op==="Const"?s.push(g[v.name]):(v.input==null||v.input.length===0)&&o.push(g[v.name]),g},{}),u=[],c=[],h={},d={};e!=null&&(h=this.mapSignatureEntries(e.inputs),d=this.mapSignatureEntries(e.outputs));var p=Object.keys(l);p.forEach(function(g){var v=l[g];v.inputNames.forEach(function(b){var w=Kn(b)[0];v.inputs.push(l[w]),l[w].children.push(v)})}),Object.keys(d).length===0?p.forEach(function(g){var v=l[g];v.children.length===0&&c.push(v)}):Object.keys(d).forEach(function(g){var v=Kn(g)[0],b=l[v];b!=null&&(b.signatureKey=d[g],c.push(b))}),Object.keys(h).length>0?Object.keys(h).forEach(function(g){var v=Kn(g)[0],b=l[v];b&&(b.signatureKey=h[g],u.push(b))}):u=a;var f={};t.library!=null&&t.library.function!=null&&(f=t.library.function.reduce(function(g,v){return g[v.signature.name]=i.mapFunction(v),g},{}));var m={nodes:l,inputs:u,outputs:c,weights:s,placeholders:a,signature:e,functions:f};return o.length>0&&(m.initNodes=o),m},n.prototype.mapSignatureEntries=function(t){return Object.keys(t||{}).reduce(function(e,i){return e[t[i].name]=i,e},{})},n.prototype.mapNode=function(t){var e=$b(t.op)||this.opMappers[t.op]||{};t.attr==null&&(t.attr={});var i={name:t.name,op:t.op,category:e.category,inputNames:(t.input||[]).map(function(r){return r.startsWith("^")?r.substr(1):r}),inputs:[],children:[],inputParams:{},attrParams:{},rawAttrs:t.attr};return e.inputs!=null&&(i.inputParams=e.inputs.reduce(function(r,a){return r[a.name]={type:a.type,inputIndexStart:a.start,inputIndexEnd:a.end},r},{})),e.attrs!=null&&(i.attrParams=e.attrs.reduce(function(r,a){var s=a.type,o=void 0;switch(a.type){case"string":o=$h(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=$h(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"string[]":o=id(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=id(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"number":o=Jh(t.attr,a.tfName,a.defaultValue||0),o===void 0&&!!a.tfDeprecatedName&&(o=Jh(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"number[]":o=nd(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=nd(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"bool":o=Xh(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=Xh(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"bool[]":o=ad(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=ad(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"shape":o=td(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=td(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"shape[]":o=rd(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=rd(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"dtype":o=Qh(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=Qh(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"dtype[]":o=ed(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=ed(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"func":o=Xb(t.attr,a.tfName,a.defaultValue),o===void 0&&!!a.tfDeprecatedName&&(o=Xb(t.attr,a.tfDeprecatedName,a.defaultValue));break;case"tensor":case"tensors":break;default:throw new Error("Unsupported param type: "+a.type+" for op: "+t.op)}return r[a.name]={value:o,type:s},r},{})),i},n.prototype.mapFunction=function(t){var e=this,i=t.nodeDef,r=[],a=[],s={};i!=null&&(s=i.reduce(function(d,p){return d[p.name]=e.mapNode(p),p.op==="Const"&&a.push(d[p.name]),d},{}));var o=[],l=[];t.signature.inputArg.forEach(function(d){var p=Kn(d.name)[0],f={name:p,op:"Placeholder",inputs:[],inputNames:[],category:"graph",inputParams:{},attrParams:{dtype:{value:Zh(d.type),type:"dtype"}},children:[]};f.signatureKey=d.name,o.push(f),s[p]=f});var u=Object.keys(s);u.forEach(function(d){var p=s[d];p.inputNames.forEach(function(f){var m=Kn(f)[0];p.inputs.push(s[m]),s[m].children.push(p)})});var c=t.ret;t.signature.outputArg.forEach(function(d){var p=Kn(c[d.name]),f=p[0],m=p[1],g=s[f];g!=null&&(g.defaultOutput=m,l.push(g))});var h=this.mapArgsToSignature(t);return{nodes:s,inputs:o,outputs:l,weights:a,placeholders:r,signature:h}},n.prototype.mapArgsToSignature=function(t){var e=this;return{methodName:t.signature.name,inputs:t.signature.inputArg.reduce(function(i,r){return i[r.name]=e.mapArgToTensorInfo(r),i},{}),outputs:t.signature.outputArg.reduce(function(i,r){return i[r.name]=e.mapArgToTensorInfo(r,t.ret),i},{})}},n.prototype.mapArgToTensorInfo=function(t,e){var i=t.name;return e!=null&&(i=e[i]),{name:i,dtype:t.type}},n}();function NW(n){var t=B.env().global;if(typeof t.atob!="undefined")return t.atob(n);if(typeof Buffer!="undefined")return new Buffer(n,"base64").toString();throw new Error("Unable to decode base64 in this environment. Missing built-in atob() or Buffer()")}function Zb(n,t){var e=Array.isArray(n)?String.fromCharCode.apply(null,n):NW(n);return t?e:e.toLowerCase()}function $h(n,t,e,i){i===void 0&&(i=!1);var r=n[t];return r!=null?Zb(r.s,i):e}function Xh(n,t,e){var i=n[t];return i?i.b:e}function Jh(n,t,e){var i=n[t]||{},r=i.i!=null?i.i:i.f!=null?i.f:e;return typeof r=="number"?r:parseInt(r,10)}function Zh(n){typeof n=="string"&&(n=yn[n]);switch(n){case yn.DT_FLOAT:return"float32";case yn.DT_INT32:case yn.DT_INT64:case yn.DT_INT8:case yn.DT_UINT8:return"int32";case yn.DT_BOOL:return"bool";case yn.DT_DOUBLE:return"float32";case yn.DT_STRING:return"string";default:return null}}function Xb(n,t,e){var i=n[t];return i&&i.func?i.func.name:e}function Qh(n,t,e){var i=n[t];return i&&i.type?Zh(i.type):e}function ed(n,t,e){var i=n[t];return i&&i.list&&i.list.type?i.list.type.map(function(r){return Zh(r)}):e}function Qb(n){return n.unknownRank?void 0:n.dim!=null?n.dim.map(function(t){return typeof t.size=="number"?t.size:parseInt(t.size,10)}):[]}function td(n,t,e){var i=n[t];return i&&i.shape?Qb(i.shape):e}function nd(n,t,e){var i=n[t];return i?((i.list.f&&i.list.f.length?i.list.f:i.list.i)||[]).map(function(r){return typeof r=="number"?r:parseInt(r,10)}):e}function id(n,t,e,i){i===void 0&&(i=!1);var r=n[t];return r&&r.list&&r.list.s?r.list.s.map(function(a){return Zb(a,i)}):e}function rd(n,t,e){var i=n[t];return i&&i.list&&i.list.shape?i.list.shape.map(function(r){return Qb(r)}):e}function ad(n,t,e){var i=n[t];return i&&i.list&&i.list.b?i.list.b:e}var xW=function(){function n(t,e,i){var r=this;this.node=t,this.tensorMap=e,this.context=i,this.inputs=[],this.attrs={},this.inputs=t.inputNames.map(function(a){return r.getInput(a)}),t.rawAttrs!=null&&(this.attrs=Object.keys(t.rawAttrs).reduce(function(a,s){return a[s]=r.getAttr(s),a},{}))}return n.prototype.getInput=function(t){return Pt(t,this.tensorMap,this.context)},n.prototype.getAttr=function(t,e){var i=this.node.rawAttrs[t];if(i.tensor!=null)return Pt(t,this.tensorMap,this.context);if(i.i!=null||i.f!=null)return Jh(this.node.rawAttrs,t,e);if(i.s!=null)return $h(this.node.rawAttrs,t,e);if(i.b!=null)return Xh(this.node.rawAttrs,t,e);if(i.shape!=null)return td(this.node.rawAttrs,t,e);if(i.type!=null)return Qh(this.node.rawAttrs,t,e);if(i.list!=null){if(i.list.i!=null||i.list.f!=null)return nd(this.node.rawAttrs,t,e);if(i.list.s!=null)return id(this.node.rawAttrs,t,e);if(i.list.shape!=null)return rd(this.node.rawAttrs,t,e);if(i.list.b!=null)return ad(this.node.rawAttrs,t,e);if(i.list.type!=null)return ed(this.node.rawAttrs,t,e)}return e},n}();var CW=function(n,t,e){switch(n.op){case"BiasAdd":case"AddV2":case"Add":return[B.add(A("a",n,t,e),A("b",n,t,e))];case"AddN":return[B.addN(A("tensors",n,t,e))];case"FloorMod":case"Mod":return[B.mod(A("a",n,t,e),A("b",n,t,e))];case"Mul":return[B.mul(A("a",n,t,e),A("b",n,t,e))];case"RealDiv":case"Div":return[B.div(A("a",n,t,e),A("b",n,t,e))];case"DivNoNan":return[B.divNoNan(A("a",n,t,e),A("b",n,t,e))];case"FloorDiv":return[B.floorDiv(A("a",n,t,e),A("b",n,t,e))];case"Sub":return[B.sub(A("a",n,t,e),A("b",n,t,e))];case"Minimum":return[B.minimum(A("a",n,t,e),A("b",n,t,e))];case"Maximum":return[B.maximum(A("a",n,t,e),A("b",n,t,e))];case"Pow":return[B.pow(A("a",n,t,e),A("b",n,t,e))];case"SquaredDifference":return[B.squaredDifference(A("a",n,t,e),A("b",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var RW=function(n,t,e){switch(n.op){case"Abs":case"ComplexAbs":return[B.abs(A("x",n,t,e))];case"Acos":return[B.acos(A("x",n,t,e))];case"Acosh":return[B.acosh(A("x",n,t,e))];case"Asin":return[B.asin(A("x",n,t,e))];case"Asinh":return[B.asinh(A("x",n,t,e))];case"Atan":return[B.atan(A("x",n,t,e))];case"Atan2":return[B.atan2(A("x",n,t,e),A("y",n,t,e))];case"Atanh":return[B.atanh(A("x",n,t,e))];case"Ceil":return[B.ceil(A("x",n,t,e))];case"Complex":return[B.complex(A("real",n,t,e),A("imag",n,t,e))];case"Cos":return[B.cos(A("x",n,t,e))];case"Cosh":return[B.cosh(A("x",n,t,e))];case"Elu":return[B.elu(A("x",n,t,e))];case"Erf":return[B.erf(A("x",n,t,e))];case"Exp":return[B.exp(A("x",n,t,e))];case"Expm1":return[B.expm1(A("x",n,t,e))];case"Floor":return[B.floor(A("x",n,t,e))];case"Log":return[B.log(A("x",n,t,e))];case"Log1p":return[B.log1p(A("x",n,t,e))];case"Imag":return[B.imag(A("x",n,t,e))];case"Neg":return[B.neg(A("x",n,t,e))];case"Reciprocal":return[B.reciprocal(A("x",n,t,e))];case"Real":return[B.real(A("x",n,t,e))];case"Relu":return[B.relu(A("x",n,t,e))];case"Round":return[B.round(A("x",n,t,e))];case"Selu":return[B.selu(A("x",n,t,e))];case"Sigmoid":return[B.sigmoid(A("x",n,t,e))];case"Sin":return[B.sin(A("x",n,t,e))];case"Sign":return[B.sign(A("x",n,t,e))];case"Sinh":return[B.sinh(A("x",n,t,e))];case"Softplus":return[B.softplus(A("x",n,t,e))];case"Sqrt":return[B.sqrt(A("x",n,t,e))];case"Square":return[B.square(A("x",n,t,e))];case"Tanh":return[B.tanh(A("x",n,t,e))];case"Tan":return[B.tan(A("x",n,t,e))];case"Relu6":case"ClipByValue":return[B.clipByValue(A("x",n,t,e),A("clipValueMin",n,t,e),A("clipValueMax",n,t,e))];case"Rsqrt":return[B.rsqrt(Pt(n.inputNames[0],t,e))];case"Prod":return[B.prod(A("x",n,t,e),A("axes",n,t,e))];case"LeakyRelu":return[B.leakyRelu(A("x",n,t,e),A("alpha",n,t,e))];case"Prelu":return[B.prelu(A("x",n,t,e),A("alpha",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};function on(n,t,e){e===void 0&&(e=""),B.util.assert(OW(n,t),function(){return e+(" Shapes "+n+" and "+t+" must match")})}function OW(n,t){if(n.length!==t.length)return!1;for(var e=0;e<n.length;e++)if(n[e]!==-1&&t[e]!==-1&&n[e]!==t[e])return!1;return!0}var EW=function(){function n(t,e,i,r,a,s,o){this.name=t,this.dtype=e,this.maxSize=i,this.elementShape=r,this.identicalElementShapes=a,this.dynamicSize=s,this.clearAfterRead=o,this.tensors=[],this.closed_=!1,this.idTensor=B.scalar(0),B.keep(this.idTensor)}return Object.defineProperty(n.prototype,"id",{get:function(){return this.idTensor.id},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),n.prototype.clearAndClose=function(t){this.tensors.forEach(function(e){(t==null||!t.has(e.tensor.id))&&e.tensor.dispose()}),this.tensors=[],this.closed_=!0,this.idTensor.dispose()},n.prototype.size=function(){return this.tensors.length},n.prototype.read=function(t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||t>=this.size())throw new Error("Tried to read from index "+t+", but array size is: "+this.size());var e=this.tensors[t];if(e.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+t+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(e.cleared=!0),e.read=!0,e.tensor},n.prototype.readMany=function(t){var e=this;return t.map(function(i){return e.read(i)})},n.prototype.write=function(t,e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(t<0||!this.dynamicSize&&t>=this.maxSize)throw new Error("Tried to write to index "+t+", but array is not resizeable and size is: "+this.maxSize);var i=this.tensors[t]||{};if(e.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+`,
|
|
because the value dtype is `+e.dtype+", but TensorArray dtype is "+this.dtype+".");if(this.size()===0&&(this.elementShape==null||this.elementShape.length===0)&&(this.elementShape=e.shape),on(this.elementShape,e.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+t+"."),i.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been read.");if(i.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+t+", because it has already been written.");i.tensor=e,B.keep(e),i.written=!0,this.tensors[t]=i},n.prototype.writeMany=function(t,e){var i=this;if(t.length!==e.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,"+("because the index size: "+t.length+" is not the same as tensors size: "+e.length+"."));t.forEach(function(r,a){return i.write(r,e[a])})},n.prototype.gather=function(t,e){if(!!e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+e);if(t)t=t.slice(0,this.size());else{t=[];for(var i=0;i<this.size();i++)t.push(i)}if(t.length===0)return B.tensor([],[0].concat(this.elementShape));var r=this.readMany(t);return on(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),B.stack(r,0)},n.prototype.concat=function(t){if(!!t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+t);if(this.size()===0)return B.tensor([],[0].concat(this.elementShape));for(var e=[],i=0;i<this.size();i++)e.push(i);var r=this.readMany(e);return on(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),B.concat(r,0)},n.prototype.scatter=function(t,e){if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+e.shape[0]);var i=Math.max.apply(Math,t);if(!this.dynamicSize&&i>=this.maxSize)throw new Error("Max index must be < array size ("+i+" vs. "+this.maxSize+")");this.writeMany(t,B.unstack(e,0))},n.prototype.split=function(t,e){var i=this;if(e.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+e.dtype);var r=0,a=t.map(function(c){return r+=c,r});if(r!==e.shape[0])throw new Error(`Expected sum of lengths to be equal to
|
|
tensor.shape[0], but sum of lengths is
|
|
`+r+", and tensor's shape is: "+e.shape);if(!this.dynamicSize&&t.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+t.length+"), and the TensorArray is not marked as dynamically resizeable");var s=r===0?0:e.size/r,o=[];B.tidy(function(){e=B.reshape(e,[1,r,s]);for(var c=0;c<t.length;++c){var h=c===0?0:a[c-1],d=[0,h,0],p=[1,t[c],s];o[c]=B.reshape(B.slice(e,d,p),i.elementShape)}return o});for(var l=[],u=0;u<t.length;u++)l[u]=u;this.writeMany(l,o)},n}();var xo=function(){function n(t,e,i,r){r===void 0&&(r=-1),this.tensors=t,this.elementShape=e,this.elementDtype=i,t!=null&&t.forEach(function(a){if(i!==a.dtype)throw new Error("Invalid data types; op elements "+i+", but list elements "+a.dtype);on(e,a.shape,"TensorList shape mismatch: "),B.keep(a)}),this.idTensor=B.scalar(0),this.maxNumElements=r,B.keep(this.idTensor)}return Object.defineProperty(n.prototype,"id",{get:function(){return this.idTensor.id},enumerable:!0,configurable:!0}),n.prototype.copy=function(){return new n(this.tensors.slice(),this.elementShape,this.elementDtype)},n.prototype.clearAndClose=function(t){this.tensors.forEach(function(e){(t==null||!t.has(e.id))&&e.dispose()}),this.tensors.length=0,this.idTensor.dispose()},n.prototype.size=function(){return this.tensors.length},n.prototype.stack=function(t,e,i){var r=this;if(i===void 0&&(i=-1),e!==this.elementDtype)throw new Error("Invalid data types; op elements "+e+", but list elements "+this.elementDtype);if(i!==-1&&this.tensors.length!==i)throw new Error("Operation expected a list with "+i+" elements but got a list with "+this.tensors.length+" elements.");return on(t,this.elementShape,"TensorList shape mismatch: "),B.tidy(function(){var a=r.tensors.map(function(s){return B.reshape(s,t)});return B.stack(a,0)})},n.prototype.popBack=function(t,e){if(e!==this.elementDtype)throw new Error("Invalid data types; op elements "+e+", but list elements "+this.elementDtype);if(this.size()===0)throw new Error("Trying to pop from an empty list.");var i=this.tensors.pop();return on(i.shape,t,"TensorList shape mismatch: "),B.reshape(i,t)},n.prototype.pushBack=function(t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+t.dtype+", but list elements "+this.elementDtype);if(on(t.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");B.keep(t),this.tensors.push(t)},n.prototype.resize=function(t){if(t<0)throw new Error("TensorListResize expects size to be non-negative. Got: "+t);if(this.maxNumElements!==-1&&t>this.maxNumElements)throw new Error("TensorListResize input size "+t+" is greater maxNumElement "+this.maxNumElements+".");this.tensors.length=t},n.prototype.getItem=function(t,e,i){if(i!==this.elementDtype)throw new Error("Invalid data types; op elements "+i+", but list elements "+this.elementDtype);if(t<0||t>this.tensors.length)throw new Error("Trying to access element "+t+" in a list with "+this.tensors.length+" elements.");if(this.tensors[t]==null)throw new Error("element at index "+t+" is null.");return on(this.tensors[t].shape,e,"TensorList shape mismatch: "),this.tensors[t]},n.prototype.setItem=function(t,e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+e.dtype+", but list elements "+this.elementDtype);if(t<0||this.maxNumElements!==-1&&t>=this.maxNumElements)throw new Error("Trying to set element "+t+" in a list with max "+this.maxNumElements+" elements.");on(this.elementShape,e.shape,"TensorList shape mismatch: "),B.keep(e),this.tensors[t]=e},n.prototype.gather=function(t,e,i){var r=this;if(e!==this.elementDtype)throw new Error("Invalid data types; op elements "+e+", but list elements "+this.elementDtype);return on(this.elementShape,i,"TensorList shape mismatch: "),t=t.slice(0,this.size()),t.length===0?B.tensor([],[0].concat(this.elementShape)):B.tidy(function(){var a=t.map(function(s){return B.reshape(r.tensors[s],i)});return B.stack(a,0)})},n.prototype.concat=function(t,e){var i=this;if(!!t&&t!==this.elementDtype)throw new Error("TensorList dtype is "+this.elementDtype+" but concat requested dtype "+t);return on(this.elementShape,e,"TensorList shape mismatch: "),this.size()===0?B.tensor([],[0].concat(this.elementShape)):B.tidy(function(){var r=i.tensors.map(function(a){return B.reshape(a,e)});return B.concat(r,0)})},n}();function DW(n,t,e){var i=n.dtype;if(n.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: "+n.shape);if(n.dtype!==e)throw new Error("Invalid data types; op elements "+n.dtype+", but list elements "+e);var r=n.shape.slice(1);on(r,t,"TensorList shape mismatch: ");var a=B.unstack(n);return new xo(a,t,i)}function kW(n,t,e){return new xo([],n,t,e)}function FW(n,t,e,i){if(t.length!==n.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+n.shape[0]);var r=Math.max.apply(Math,t);if(i!=null&&i!==-1&&r>=i)throw new Error("Max index must be < array size ("+r+" vs. "+i+")");var a=new xo([],e,n.dtype,i),s=B.unstack(n,0);return t.forEach(function(o,l){a.setItem(o,s[l])}),a}function WW(n,t,e){var i=0,r=t.map(function(u){return i+=u,i});if(i!==n.shape[0])throw new Error(`Expected sum of lengths to be equal to
|
|
tensor.shape[0], but sum of lengths is
|
|
`+i+", and tensor's shape is: "+n.shape);for(var a=i===0?0:n.size/i,s=B.tidy(function(){var u=[];n=B.reshape(n,[1,i,a]);for(var c=0;c<t.length;++c){var h=c===0?0:r[c-1],d=[0,h,0],p=[1,t[c],a];u[c]=B.reshape(B.slice(n,d,p),e)}return n.dispose(),u}),o=new xo([],e,n.dtype,t.length),l=0;l<s.length;l++)o.setItem(l,s[l]);return o}var UW=void 0,BW=function(n,t,e){return kn(UW,void 0,void 0,function(){var i,r,a,s,o,l,u,c,o,h,d,l,p,f,m,m,g,v,g,b,g,g,g,w,S,L,x,C,R,D,k,W,F,P,H,_,K,j,q,G,Z,X,ee,ne,ie,te,re,le,he,be,Oe,ke,_e,Me,ct,wt,qe,We,F,P,me,We,K,L,Ot,me,ne,ie,L,ot,me,L,ht,ot,me,q,G,L,ht,me,We,L,ht,ot,me,Ln,L,ht,me,re,me,he,L,We,P,me,We,L,Ot,me,Oe,L,ke,me;return vn(this,function(Ct){switch(Ct.label){case 0:i=n.op;switch(i){case"If":return[3,1];case"StatelessIf":return[3,1];case"While":return[3,3];case"StatelessWhile":return[3,3];case"LoopCond":return[3,9];case"Switch":return[3,10];case"Merge":return[3,12];case"Enter":return[3,13];case"Exit":return[3,14];case"NextIteration":return[3,15];case"TensorArrayV3":return[3,16];case"TensorArrayWriteV3":return[3,17];case"TensorArrayReadV3":return[3,18];case"TensorArrayGatherV3":return[3,19];case"TensorArrayScatterV3":return[3,20];case"TensorArrayConcatV3":return[3,21];case"TensorArraySplitV3":return[3,22];case"TensorArraySizeV3":return[3,23];case"TensorArrayCloseV3":return[3,24];case"TensorListSetItem":return[3,25];case"TensorListGetItem":return[3,26];case"TensorListScatterV2":return[3,27];case"TensorListScatter":return[3,27];case"TensorListReserve":return[3,28];case"TensorListGather":return[3,29];case"TensorListStack":return[3,30];case"TensorListFromTensor":return[3,31];case"TensorListConcat":return[3,32];case"TensorListPushBack":return[3,33];case"TensorListPopBack":return[3,34];case"TensorListSplit":return[3,35]}return[3,36];case 1:return r=A("thenBranch",n,t,e),a=A("elseBranch",n,t,e),s=A("cond",n,t,e),o=A("args",n,t,e),[4,s.data()];case 2:return l=Ct.sent(),l[0]?[2,e.functionMap[r].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)]:[2,e.functionMap[a].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)];case 3:return u=A("body",n,t,e),c=A("cond",n,t,e),o=A("args",n,t,e),[4,e.functionMap[c].executeFunctionAsync(o,e.tensorArrayMap,e.tensorListMap)];case 4:return h=Ct.sent(),d=o.map(function(St){return St.id}),[4,h[0].data()];case 5:l=Ct.sent(),h.forEach(function(St){!St.kept&&d.indexOf(St.id)===-1&&St.dispose()}),p=o,f=function(){var St,Ce,Et;return vn(this,function(dt){switch(dt.label){case 0:return St=p,[4,e.functionMap[u].executeFunctionAsync(p,e.tensorArrayMap,e.tensorListMap)];case 1:return p=dt.sent(),Ce=p.map(function(nt){return nt.id}),St.forEach(function(nt){!nt.kept&&d.indexOf(nt.id)===-1&&Ce.indexOf(nt.id)===-1&&nt.dispose()}),[4,e.functionMap[c].executeFunctionAsync(p,e.tensorArrayMap,e.tensorListMap)];case 2:return Et=dt.sent(),[4,Et[0].data()];case 3:return l=dt.sent(),Et.forEach(function(nt){!nt.kept&&d.indexOf(nt.id)===-1&&Ce.indexOf(nt.id)===-1&&nt.dispose()}),[2]}})},Ct.label=6;case 6:return l[0]?[5,f()]:[3,8];case 7:return Ct.sent(),[3,6];case 8:return[2,p];case 9:return m=A("pred",n,t,e),[2,[jn(m)]];case 10:return m=A("pred",n,t,e),g=A("data",n,t,e),g.kept||(g=jn(g)),[4,m.data()];case 11:return[2,Ct.sent()[0]?[void 0,g]:[g,void 0]];case 12:return v=n.inputNames.find(function(St){return Pt(St,t,e)!==void 0}),v?(g=Pt(v,t,e),[2,[jn(g)]]):[2,void 0];case 13:return b=A("frameName",n,t,e),g=A("tensor",n,t,e),e.enterFrame(b),[2,[jn(g)]];case 14:return g=A("tensor",n,t,e),e.exitFrame(),[2,[jn(g)]];case 15:return g=A("tensor",n,t,e),e.nextIteration(),[2,[jn(g)]];case 16:return w=A("size",n,t,e),S=A("dtype",n,t,e),L=A("elementShape",n,t,e),x=A("dynamicSize",n,t,e),C=A("clearAfterRead",n,t,e),R=A("identicalElementShapes",n,t,e),D=A("name",n,t,e),k=new EW(D,S,w,L,R,x,C),e.addTensorArray(k),[2,[k.idTensor,B.scalar(1)]];case 17:return W=A("tensorArrayId",n,t,e),F=A("index",n,t,e),P=A("tensor",n,t,e),H=e.getTensorArray(W.id),H.write(F,P),[2,[H.idTensor]];case 18:return _=A("tensorArrayId",n,t,e),K=A("index",n,t,e),j=e.getTensorArray(_.id),[2,[j.read(K)]];case 19:return q=A("tensorArrayId",n,t,e),G=A("indices",n,t,e),Z=A("dtype",n,t,e),X=e.getTensorArray(q.id),[2,[X.gather(G,Z)]];case 20:return ee=A("tensorArrayId",n,t,e),ne=A("indices",n,t,e),ie=A("tensor",n,t,e),te=e.getTensorArray(ee.id),te.scatter(ne,ie),[2,[te.idTensor]];case 21:return re=A("tensorArrayId",n,t,e),le=e.getTensorArray(re.id),he=A("dtype",n,t,e),[2,[le.concat(he)]];case 22:return be=A("tensorArrayId",n,t,e),Oe=A("tensor",n,t,e),ke=A("lengths",n,t,e),_e=e.getTensorArray(be.id),_e.split(ke,Oe),[2,[_e.idTensor]];case 23:return Me=A("tensorArrayId",n,t,e),ct=e.getTensorArray(Me.id),[2,[B.scalar(ct.size(),"int32")]];case 24:return wt=A("tensorArrayId",n,t,e),qe=e.getTensorArray(wt.id),qe.clearAndClose(),[2,[qe.idTensor]];case 25:return We=A("tensorListId",n,t,e),F=A("index",n,t,e),P=A("tensor",n,t,e),me=e.getTensorList(We.id),me.setItem(F,P),[2,[me.idTensor]];case 26:return We=A("tensorListId",n,t,e),K=A("index",n,t,e),L=A("elementShape",n,t,e),Ot=A("elementDType",n,t,e),me=e.getTensorList(We.id),[2,[me.getItem(K,L,Ot)]];case 27:return ne=A("indices",n,t,e),ie=A("tensor",n,t,e),L=A("elementShape",n,t,e),ot=A("numElements",n,t,e),me=FW(ie,ne,L,ot),e.addTensorList(me),[2,[me.idTensor]];case 28:return L=A("elementShape",n,t,e),ht=A("elementDType",n,t,e),ot=A("numElements",n,t,e),me=kW(L,ht,ot),e.addTensorList(me),[2,[me.idTensor]];case 29:return q=A("tensorListId",n,t,e),G=A("indices",n,t,e),L=A("elementShape",n,t,e),ht=A("elementDType",n,t,e),me=e.getTensorList(q.id),[2,[me.gather(G,ht,L)]];case 30:return We=A("tensorListId",n,t,e),L=A("elementShape",n,t,e),ht=A("elementDType",n,t,e),ot=A("numElements",n,t,e),me=e.getTensorList(We.id),[2,[me.stack(L,ht,ot)]];case 31:return Ln=A("tensor",n,t,e),L=A("elementShape",n,t,e),ht=A("elementDType",n,t,e),me=DW(Ln,L,ht),e.addTensorList(me),[2,[me.idTensor]];case 32:return re=A("tensorListId",n,t,e),me=e.getTensorList(re.id),he=A("dtype",n,t,e),L=A("elementShape",n,t,e),[2,[me.concat(he,L)]];case 33:return We=A("tensorListId",n,t,e),P=A("tensor",n,t,e),me=e.getTensorList(We.id),me.pushBack(P),[2,[me.idTensor]];case 34:return We=A("tensorListId",n,t,e),L=A("elementShape",n,t,e),Ot=A("elementDType",n,t,e),me=e.getTensorList(We.id),[2,[me.popBack(L,Ot)]];case 35:return Oe=A("tensor",n,t,e),L=A("elementShape",n,t,e),ke=A("lengths",n,t,e),me=WW(Oe,ke,L),e.addTensorList(me),[2,[me.idTensor]];case 36:throw TypeError("Node type "+n.op+" is not implemented")}})})};function ew(n,t,e){var i=A("fusedOps",n,t,e),r=i[0],a=i[1],s=r==="biasadd",o=a==="prelu",l=r==="fusedbatchnorm",u=A("numArgs",n,t,e);if(s){if(o&&u!==2)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&u!==1)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(l)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");var c=A("strides",n,t,e),h=No(n,t,e),d=A("dataFormat",n,t,e).toUpperCase(),p=A("dilations",n,t,e),f=A("args",n,t,e),m=f[0],g=f[1];return{stride:c,pad:h,dataFormat:d,dilations:p,biasArg:m,preluArg:g,activationFunc:a}}var zW=function(n,t,e){switch(n.op){case"Conv1D":{var i=A("stride",n,t,e),r=A("pad",n,t,e),a=A("dataFormat",n,t,e).toUpperCase(),s=A("dilation",n,t,e);return[B.conv1d(A("x",n,t,e),A("filter",n,t,e),i,r,a,s)]}case"Conv2D":{var i=A("strides",n,t,e),r=No(n,t,e),a=A("dataFormat",n,t,e).toUpperCase(),o=A("dilations",n,t,e);return[B.conv2d(A("x",n,t,e),A("filter",n,t,e),[i[1],i[2]],r,a,[o[1],o[2]])]}case"_FusedConv2D":{var l=ew(n,t,e),i=l.stride,r=l.pad,a=l.dataFormat,o=l.dilations,u=l.biasArg,c=l.preluArg,h=l.activationFunc;return[B.fused.conv2d({x:A("x",n,t,e),filter:A("filter",n,t,e),strides:[i[1],i[2]],pad:r,dataFormat:a,dilations:[o[1],o[2]],bias:u,activation:h,preluActivationWeights:c})]}case"FusedDepthwiseConv2dNative":{var d=ew(n,t,e),i=d.stride,r=d.pad,a=d.dataFormat,o=d.dilations,u=d.biasArg,c=d.preluArg,h=d.activationFunc;return[B.fused.depthwiseConv2d({x:A("x",n,t,e),filter:A("filter",n,t,e),strides:[i[1],i[2]],pad:r,dataFormat:a,dilations:[o[1],o[2]],bias:u,activation:h,preluActivationWeights:c})]}case"Conv2DBackpropInput":case"Conv2dTranspose":{var p=A("outputShape",n,t,e),i=A("strides",n,t,e),r=No(n,t,e);return[B.conv2dTranspose(A("x",n,t,e),A("filter",n,t,e),p,[i[1],i[2]],r)]}case"DepthwiseConv2dNative":case"DepthwiseConv2d":{var i=A("strides",n,t,e),r=No(n,t,e),o=A("dilations",n,t,e),a=A("dataFormat",n,t,e).toUpperCase();return[B.depthwiseConv2d(A("input",n,t,e),A("filter",n,t,e),[i[1],i[2]],r,a,[o[1],o[2]])]}case"Conv3D":{var i=A("strides",n,t,e),r=A("pad",n,t,e),a=A("dataFormat",n,t,e).toUpperCase(),o=A("dilations",n,t,e);return[B.conv3d(A("x",n,t,e),A("filter",n,t,e),[i[1],i[2],i[3]],r,a,[o[1],o[2],o[3]])]}case"AvgPool":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e);return[B.avgPool(A("x",n,t,e),[f[1],f[2]],[i[1],i[2]],r)]}case"MaxPool":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e);return[B.maxPool(A("x",n,t,e),[f[1],f[2]],[i[1],i[2]],r)]}case"MaxPoolWithArgmax":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e),m=A("includeBatchInIndex",n,t,e),g=B.maxPoolWithArgmax(A("x",n,t,e),[f[1],f[2]],[i[1],i[2]],r,m),v=g.result,b=g.indexes;return[v,b]}case"AvgPool3D":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e);return[B.avgPool3d(A("x",n,t,e),[f[1],f[2],f[3]],[i[1],i[2],i[3]],r)]}case"MaxPool3D":{var i=A("strides",n,t,e),r=A("pad",n,t,e),f=A("kernelSize",n,t,e);return[B.maxPool3d(A("x",n,t,e),[f[1],f[2],f[3]],[i[1],i[2],i[3]],r)]}case"Dilation2D":{var w=A("strides",n,t,e),r=A("pad",n,t,e),o=A("dilations",n,t,e),S=w[1],L=w[2],x=o[1],C=o[2];return[B.dilation2d(A("x",n,t,e),A("filter",n,t,e),[S,L],r,[x,C],"NHWC")]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var PW=function(n,t,e){switch(n.op){case"Fill":{var i=A("shape",n,t,e),r=A("dtype",n,t,e),a=A("value",n,t,e);return[B.fill(i,a,r)]}case"LinSpace":{var s=A("start",n,t,e),o=A("stop",n,t,e),l=A("num",n,t,e);return[B.linspace(s,o,l)]}case"Multinomial":{var u=A("logits",n,t,e),c=A("numSamples",n,t,e),h=A("seed",n,t,e);return[B.multinomial(u,c,h)]}case"OneHot":{var d=A("indices",n,t,e),p=A("depth",n,t,e),f=A("onValue",n,t,e),m=A("offValue",n,t,e);return[B.oneHot(d,p,f,m)]}case"Ones":return[B.ones(A("shape",n,t,e),A("dtype",n,t,e))];case"OnesLike":return[B.onesLike(A("x",n,t,e))];case"RandomUniform":return[B.randomUniform(A("shape",n,t,e),A("minval",n,t,e),A("maxval",n,t,e),A("dtype",n,t,e))];case"Range":{var s=A("start",n,t,e),g=A("stop",n,t,e),v=A("step",n,t,e);return[B.range(s,g,v,A("dtype",n,t,e))]}case"TruncatedNormal":{var i=A("shape",n,t,e),b=A("mean",n,t,e),w=A("stdDev",n,t,e),h=A("seed",n,t,e);return[B.truncatedNormal(i,b,w,A("dtype",n,t,e),h)]}case"Zeros":return[B.zeros(A("shape",n,t,e),A("dtype",n,t,e))];case"ZerosLike":return[B.zerosLike(A("x",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var _W=void 0;function sd(n,t,e){var i=A("boxes",n,t,e),r=A("scores",n,t,e),a=A("maxOutputSize",n,t,e),s=A("iouThreshold",n,t,e),o=A("scoreThreshold",n,t,e),l=A("softNmsSigma",n,t,e);return{boxes:i,scores:r,maxOutputSize:a,iouThreshold:s,scoreThreshold:o,softNmsSigma:l}}var MW=function(n,t,e){return kn(_W,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,a,s,o,l,u,p,h,f,a,s,o,l,u,m,h;return vn(this,function(g){switch(g.label){case 0:i=n.op;switch(i){case"NonMaxSuppressionV5":return[3,1];case"NonMaxSuppressionV4":return[3,3];case"NonMaxSuppressionV3":return[3,5];case"NonMaxSuppressionV2":return[3,5];case"Where":return[3,7];case"ListDiff":return[3,9]}return[3,10];case 1:return r=sd(n,t,e),a=r.boxes,s=r.scores,o=r.maxOutputSize,l=r.iouThreshold,u=r.scoreThreshold,c=r.softNmsSigma,[4,B.image.nonMaxSuppressionWithScoreAsync(a,s,o,l,u,c)];case 2:return h=g.sent(),[2,[h.selectedIndices,h.selectedScores]];case 3:return d=sd(n,t,e),a=d.boxes,s=d.scores,o=d.maxOutputSize,l=d.iouThreshold,u=d.scoreThreshold,p=A("padToMaxOutputSize",n,t,e),[4,B.image.nonMaxSuppressionPaddedAsync(a,s,o,l,u,p)];case 4:return h=g.sent(),[2,[h.selectedIndices,h.validOutputs]];case 5:return f=sd(n,t,e),a=f.boxes,s=f.scores,o=f.maxOutputSize,l=f.iouThreshold,u=f.scoreThreshold,[4,B.image.nonMaxSuppressionAsync(a,s,o,l,u)];case 6:return[2,[g.sent()]];case 7:return m=B.cast(A("condition",n,t,e),"bool"),[4,B.whereAsync(m)];case 8:return h=[g.sent()],m.dispose(),[2,h];case 9:return[2,B.setdiff1dAsync(A("x",n,t,e),A("y",n,t,e))];case 10:throw TypeError("Node type "+n.op+" is not implemented")}})})};var HW=function(n,t,e){switch(n.op){case"TopKV2":{var i=A("x",n,t,e),r=A("k",n,t,e),a=A("sorted",n,t,e),s=B.topk(i,r,a);return[s.values,s.indices]}case"Unique":{var i=A("x",n,t,e),s=B.unique(i);return[s.values,s.indices]}case"UniqueV2":{var i=A("x",n,t,e),o=A("axis",n,t,e),s=B.unique(i,o);return[s.values,s.indices]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var VW=function(n,t,e){switch(n.op){case"Const":return t[n.name];case"PlaceholderWithDefault":var i=A("default",n,t,e);return[Pt(n.name,t,e)||i];case"Placeholder":return[Pt(n.name,t,e)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":{var r=A("x",n,t,e);return[jn(r)]}case"IdentityN":return A("x",n,t,e).map(function(h){return jn(h)});case"Snapshot":var a=A("x",n,t,e);return[jn(a)];case"Shape":return[B.tensor1d(A("x",n,t,e).shape,"int32")];case"ShapeN":return A("x",n,t,e).map(function(h){return B.tensor1d(h.shape)});case"Size":return[B.scalar(A("x",n,t,e).size,"int32")];case"Rank":return[B.scalar(A("x",n,t,e).rank,"int32")];case"NoOp":return[B.scalar(1)];case"Print":var s=A("x",n,t,e),o=A("data",n,t,e),l=A("message",n,t,e),u=A("summarize",n,t,e);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(l);for(var c=0;c<o.length;c++)console.log(Array.prototype.slice.call(o[c].dataSync()).slice(0,u));return[s];default:throw TypeError("Node type "+n.op+" is not implemented")}};var qW=function(n,t,e){switch(n.op){case"ResizeBilinear":{var i=A("images",n,t,e),r=A("size",n,t,e),a=A("alignCorners",n,t,e);return[B.image.resizeBilinear(i,[r[0],r[1]],a)]}case"ResizeNearestNeighbor":{var i=A("images",n,t,e),r=A("size",n,t,e),a=A("alignCorners",n,t,e);return[B.image.resizeNearestNeighbor(i,[r[0],r[1]],a)]}case"CropAndResize":{var s=A("image",n,t,e),o=A("boxes",n,t,e),l=A("boxInd",n,t,e),u=A("cropSize",n,t,e),c=A("method",n,t,e),h=A("extrapolationValue",n,t,e);return[B.image.cropAndResize(s,o,l,u,c,h)]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var GW=function(n,t,e){switch(n.op){case"Equal":return[B.equal(A("a",n,t,e),A("b",n,t,e))];case"NotEqual":return[B.notEqual(A("a",n,t,e),A("b",n,t,e))];case"Greater":return[B.greater(A("a",n,t,e),A("b",n,t,e))];case"GreaterEqual":return[B.greaterEqual(A("a",n,t,e),A("b",n,t,e))];case"Less":return[B.less(A("a",n,t,e),A("b",n,t,e))];case"LessEqual":return[B.lessEqual(A("a",n,t,e),A("b",n,t,e))];case"LogicalAnd":return[B.logicalAnd(A("a",n,t,e),A("b",n,t,e))];case"LogicalNot":return[B.logicalNot(A("a",n,t,e))];case"LogicalOr":return[B.logicalOr(A("a",n,t,e),A("b",n,t,e))];case"Select":case"SelectV2":return[B.where(A("condition",n,t,e),A("a",n,t,e),A("b",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var YW=function(n,t,e){switch(n.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[B.matMul(A("a",n,t,e),A("b",n,t,e),A("transposeA",n,t,e),A("transposeB",n,t,e))];case"Transpose":return[B.transpose(A("x",n,t,e),A("perm",n,t,e))];case"_FusedMatMul":var i=A("fusedOps",n,t,e),r=i[0],a=i[1],s=r==="biasadd",o=a==="prelu",l=A("numArgs",n,t,e);if(s){if(o&&l!==2)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!o&&l!==1)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var u=A("args",n,t,e),c=u[0],h=u[1];return[B.fused.matMul({a:A("a",n,t,e),b:A("b",n,t,e),transposeA:A("transposeA",n,t,e),transposeB:A("transposeB",n,t,e),bias:c,activation:a,preluActivationWeights:h})];default:throw TypeError("Node type "+n.op+" is not implemented")}};var KW=function(n,t,e){switch(n.op){case"FusedBatchNorm":case"FusedBatchNormV2":return[B.batchNorm(A("x",n,t,e),A("mean",n,t,e),A("variance",n,t,e),A("offset",n,t,e),A("scale",n,t,e),A("epsilon",n,t,e))];case"FusedBatchNormV3":return[B.batchNorm(A("x",n,t,e),A("mean",n,t,e),A("variance",n,t,e),A("offset",n,t,e),A("scale",n,t,e),A("epsilon",n,t,e))];case"LRN":return[B.localResponseNormalization(A("x",n,t,e),A("radius",n,t,e),A("bias",n,t,e),A("alpha",n,t,e),A("beta",n,t,e))];case"Softmax":return[B.softmax(A("x",n,t,e))];case"LogSoftmax":return[B.logSoftmax(A("x",n,t,e))];case"SparseToDense":return[B.sparseToDense(A("sparseIndices",n,t,e),A("outputShape",n,t,e),A("sparseValues",n,t,e),A("defaultValue",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var jW=function(n,t,e){switch(n.op){case"Max":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.max(A("x",n,t,e),i,r)]}case"Mean":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.mean(A("x",n,t,e),i,r)]}case"Min":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.min(A("x",n,t,e),i,r)]}case"Sum":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.sum(A("x",n,t,e),i,r)]}case"All":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.all(A("x",n,t,e),i,r)]}case"Any":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.any(A("x",n,t,e),i,r)]}case"ArgMax":{var i=A("axis",n,t,e);return[B.argMax(A("x",n,t,e),i)]}case"ArgMin":{var i=A("axis",n,t,e);return[B.argMin(A("x",n,t,e),i)]}case"Prod":{var i=A("axis",n,t,e),r=A("keepDims",n,t,e);return[B.prod(A("x",n,t,e),i,r)]}case"Cumsum":{var i=A("axis",n,t,e),a=A("exclusive",n,t,e),s=A("reverse",n,t,e);return[B.cumsum(A("x",n,t,e),i,a,s)]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var $W=function(n,t,e){switch(n.op){case"ConcatV2":case"Concat":{var i=A("n",n,t,e),r=A("axis",n,t,e),a=A("tensors",n,t,e);return a=a.slice(0,i),[B.concat(a,r)]}case"GatherV2":case"Gather":{var r=A("axis",n,t,e),s=A("x",n,t,e),o=A("indices",n,t,e);return[B.gather(s,B.cast(o,"int32"),r)]}case"ReverseV2":case"Reverse":{var r=A("axis",n,t,e),s=A("x",n,t,e);return[B.reverse(s,r)]}case"Slice":{var l=A("begin",n,t,e),u=A("size",n,t,e);return[B.slice(A("x",n,t,e),l,u)]}case"StridedSlice":{var l=A("begin",n,t,e),c=A("end",n,t,e),h=A("strides",n,t,e),d=A("beginMask",n,t,e),p=A("endMask",n,t,e),f=A("ellipsisMask",n,t,e),m=A("newAxisMask",n,t,e),g=A("shrinkAxisMask",n,t,e),v=A("x",n,t,e);return[B.stridedSlice(v,l,c,h,d,p,f,m,g)]}case"Pack":return B.tidy(function(){var D=A("axis",n,t,e),k=A("tensors",n,t,e),W=k[0].shape,F=B.squeeze(k[0]).shape,P=k.map(function(H){var _=B.util.arraysEqual(H.shape,W);if(!_&&!B.util.arraysEqual(B.squeeze(H).shape,F))throw new Error("the input tensors shape does not match");return _?H:B.reshape(H,W)});return[B.stack(P,D)]});case"Unpack":{var r=A("axis",n,t,e),v=A("tensor",n,t,e);return B.unstack(v,r)}case"Tile":{var b=A("reps",n,t,e);return[B.tile(A("x",n,t,e),b)]}case"Split":case"SplitV":{var r=A("axis",n,t,e),w=A("numOrSizeSplits",n,t,e),v=A("x",n,t,e);return B.split(v,w,r)}case"ScatterNd":{var o=A("indices",n,t,e),S=A("values",n,t,e),L=A("shape",n,t,e);return[B.scatterND(o,S,L)]}case"GatherNd":{var x=A("x",n,t,e),o=A("indices",n,t,e);return[B.gatherND(x,o)]}case"SparseToDense":{var o=A("sparseIndices",n,t,e),L=A("outputShape",n,t,e),C=A("sparseValues",n,t,e),R=A("defaultValue",n,t,e);return[B.sparseToDense(o,C,L,C.dtype===R.dtype?R:B.cast(R,C.dtype))]}default:throw TypeError("Node type "+n.op+" is not implemented")}};var XW=function(n,t,e){switch(n.op){case"FFT":return[B.fft(A("x",n,t,e))];case"IFFT":return[B.ifft(A("x",n,t,e))];case"RFFT":return[B.rfft(A("x",n,t,e))];case"IRFFT":return[B.irfft(A("x",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};var JW=function(n,t,e){switch(n.op){case"Cast":return[B.cast(A("x",n,t,e),A("dtype",n,t,e))];case"ExpandDims":{var i=A("axis",n,t,e);return[B.expandDims(A("x",n,t,e),i)]}case"Squeeze":{var i=A("axis",n,t,e);return[B.squeeze(A("x",n,t,e),i)]}case"Reshape":return[B.reshape(A("x",n,t,e),A("shape",n,t,e))];case"PadV2":case"Pad":return[B.pad(A("x",n,t,e),A("padding",n,t,e),A("constantValue",n,t,e))];case"SpaceToBatchND":{var r=A("blockShape",n,t,e),a=A("paddings",n,t,e);return[B.spaceToBatchND(A("x",n,t,e),r,a)]}case"BatchToSpaceND":{var r=A("blockShape",n,t,e),s=A("crops",n,t,e);return[B.batchToSpaceND(A("x",n,t,e),r,s)]}case"DepthToSpace":{var o=A("blockSize",n,t,e),l=A("dataFormat",n,t,e).toUpperCase();return[B.depthToSpace(A("x",n,t,e),o,l)]}case"BroadcastTo":return[B.broadcastTo(A("x",n,t,e),A("shape",n,t,e))];default:throw TypeError("Node type "+n.op+" is not implemented")}};function tw(n,t,e){var i=function(r,a,s){switch(r.category){case"arithmetic":return B.tidy(function(){return CW(r,a,s)});case"basic_math":return B.tidy(function(){return RW(r,a,s)});case"control":return BW(r,a,s);case"convolution":return B.tidy(function(){return zW(r,a,s)});case"creation":return B.tidy(function(){return PW(r,a,s)});case"dynamic":return MW(r,a,s);case"evaluation":return B.tidy(function(){return HW(r,a,s)});case"image":return B.tidy(function(){return qW(r,a,s)});case"graph":return B.tidy(function(){return VW(r,a,s)});case"logical":return B.tidy(function(){return GW(r,a,s)});case"matrices":return B.tidy(function(){return YW(r,a,s)});case"normalization":return B.tidy(function(){return KW(r,a,s)});case"reduction":return B.tidy(function(){return jW(r,a,s)});case"slice_join":return B.tidy(function(){return $W(r,a,s)});case"spectral":return B.tidy(function(){return XW(r,a,s)});case"transformation":return B.tidy(function(){return JW(r,a,s)});case"custom":var o=$b(r.op);if(o&&o.customExecutor)return o.customExecutor(new xW(r,a,s));throw TypeError("Custom op "+r.op+" is not registered.");default:throw TypeError("Unknown op '"+r.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(n,t,e);return i instanceof Promise?i.then(function(r){return[].concat(r)}):[].concat(i)}var nw=function(){function n(t,e,i,r){t===void 0&&(t={}),e===void 0&&(e={}),i===void 0&&(i={}),r===void 0&&(r={}),this.weightMap=t,this.tensorArrayMap=e,this.tensorListMap=i,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return n.prototype.newFrame=function(t,e){return{id:t,frameName:e,iterationId:0}},Object.defineProperty(n.prototype,"currentContext",{get:function(){return this.contexts},set:function(t){this.contexts!==t&&(this.contexts=t,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),n.prototype.generateCurrentContextIds=function(){for(var t=[],e=0;e<this.contexts.length-1;e++){var i=this.contexts.slice(0,this.contexts.length-e);t.push(this.contextIdforContexts(i))}t.push(""),this._currentContextIds=t},n.prototype.contextIdforContexts=function(t){return t?t.map(function(e){return e.id===0&&e.iterationId===0?"":e.frameName+"-"+e.iterationId}).join("/"):""},n.prototype.enterFrame=function(t){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,t)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},n.prototype.exitFrame=function(){if(this.contexts&&this.contexts.length>1)this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift();else throw new Error("Cannot exit frame, the context is empty")},n.prototype.nextIteration=function(){if(this.contexts&&this.contexts.length>0){this.contexts=this.contexts.slice(),this.lastId++;var t=Object.assign({},this.contexts[this.contexts.length-1]);t.iterationId+=1,t.id=this.lastId,this.contexts.splice(-1,1,t),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))}else throw new Error("Cannot increase frame iteration, the context is empty")},n.prototype.getWeight=function(t){return this.weightMap[t]},n.prototype.addTensorArray=function(t){this.tensorArrayMap[t.id]=t},n.prototype.getTensorArray=function(t){return this.tensorArrayMap[t]},n.prototype.addTensorList=function(t){this.tensorListMap[t.id]=t},n.prototype.getTensorList=function(t){return this.tensorListMap[t]},n.prototype.dispose=function(t){for(var e in this.tensorArrayMap)this.tensorArrayMap[e].clearAndClose(t);for(var e in this.tensorListMap)this.tensorListMap[e].clearAndClose(t)},n}();function rw(n,t,e,i){var r=new Set,a=[],s=null,o=null,l=new Set,u=Object.keys(n).map(function(p){return Yt(p)[0]}),c=[];i!=null&&(c=i.map(function(p){return Yt(p.name)[0]}));for(var h=t.slice();h.length>0;){var d=h.pop();if((iw(d)||ZW(d))&&(s==null&&(s=d,o=s.children.map(function(p){return p.name}).filter(function(p){return r.has(p)}))),r.add(d.name),e[d.name]!=null)continue;if(u.indexOf(d.name)!==-1)continue;if(c.indexOf(d.name)!==-1)continue;if(d.inputs.length===0){a.push(d.name);continue}d.inputs.forEach(function(p){if(l.has(p.name))return;l.add(p.name),h.push(p)})}return{inputs:n,outputs:t,usedNodes:r,missingInputs:a,dynamicNode:s,syncInputs:o}}function QW(n,t,e){var i=e.usedNodes,r=e.inputs,a=[],s=Object.keys(r).map(function(h){return Yt(h)[0]}).map(function(h){return n.nodes[h]}),o=n.initNodes;s.forEach(function(h){i.has(h.name)&&a.push(h)}),n.weights.forEach(function(h){i.has(h.name)&&a.push(h)}),o!=null&&o.forEach(function(h){i.has(h.name)&&a.push(h)});for(var l=new Set,u=[];a.length>0;){var c=a.pop();l.add(c.name),t[c.name]||u.push(c),c.children.forEach(function(h){!l.has(h.name)&&i.has(h.name)&&h.inputs.every(function(d){return l.has(d.name)})&&a.push(h)})}return u}var eU=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],tU=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function iw(n){return eU.indexOf(n.op)>=0}function ZW(n){return tU.indexOf(n.op)>=0}var aw=function(){function n(t,e){var i=this;this.graph=t,this.parent=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this._functions={},this._functionExecutorMap={},this._outputs=t.outputs,this._inputs=t.inputs,this._initNodes=t.initNodes,this._signature=t.signature,this._functions=t.functions,t.functions!=null&&Object.keys(t.functions).forEach(function(r){i._functionExecutorMap[r]=new n(t.functions[r],i)})}return Object.defineProperty(n.prototype,"weightIds",{get:function(){return this.parent?this.parent.weightIds:this._weightIds},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"functionExecutorMap",{get:function(){return this.parent?this.parent.functionExecutorMap:this._functionExecutorMap},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"weightMap",{get:function(){return this.parent?this.parent.weightMap:this._weightMap},set:function(t){var e=Object.keys(t).map(function(i){return t[i].map(function(r){return r.id})});this._weightIds=[].concat.apply([],e),this._weightMap=t},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputs",{get:function(){return this._inputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputs",{get:function(){return this._outputs.map(function(t){return{name:t.name,shape:t.attrParams.shape?t.attrParams.shape.value:void 0,dtype:t.attrParams.dtype?t.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputNodes",{get:function(){return this._inputs.map(function(t){return t.signatureKey||t.name})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputNodes",{get:function(){return this._outputs.map(function(t){var e=t.signatureKey||t.name;return t.defaultOutput?e+":"+t.defaultOutput:e})},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"functions",{get:function(){var t=this;return Object.keys(this._functions).reduce(function(e,i){return e[i]=t._functions[i].signature,e},{})},enumerable:!0,configurable:!0}),n.prototype.getCompilationKey=function(t,e){var i=t.map(function(a){return a.name}).sort(),r=e.map(function(a){return a.name}).sort();return i.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},n.prototype.compile=function(t,e){var i=rw(t,e,this.weightMap,this._initNodes),r=i.missingInputs,a=i.dynamicNode,s=i.syncInputs;if(a!=null)throw new Error("This execution contains the node '"+a.name+"', which has "+("the dynamic op '"+a.op+"'. Please use ")+"model.executeAsync() instead. Alternatively, to avoid the "+("dynamic ops, specify the inputs ["+s+"]"));if(r.length>0){var o=e.map(function(u){return u.name}),l=Object.keys(t);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs "+("["+l+"]. Missing the following inputs: ["+r+"]"))}return QW(this.graph,this.weightMap,i)},n.prototype.execute=function(t,e){var i=this;t=this.mapInputs(t);var r=Object.keys(t).sort();this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e);var a=r.map(function(d){return i.graph.nodes[Yt(d)[0]]}),s=e.map(function(d){return Yt(d)[0]}),o=s.map(function(d){return i.graph.nodes[d]});o.length===0&&(o=this._outputs);var l=this.getCompilationKey(a,o),u=this.compiledMap.get(l);u==null&&(u=this.compile(t,o),this.compiledMap.set(l,u));var c={},h={};return B.tidy(function(){var d=new nw(i.weightMap,c,h,i.functionExecutorMap),p=Kb({},i.weightMap);Object.keys(t).forEach(function(w){var S=Yt(w),L=S[0],x=S[1],C=[];C[x]=t[w],p[L]=C});for(var f=i.getFrozenTensorIds(p),m={},g=0;g<u.length;g++){var v=u[g];if(!p[v.name]){var b=tw(v,p,d);if(b instanceof Promise)throw new Error("The execution of the op '"+v.op+"' returned a promise. Please use model.executeAsync() instead.");p[v.name]=b,i.checkTensorForDisposal(v.name,v,p,d,f,s,m)}}return i.parent==null&&d.dispose(f),e.map(function(w){return Pt(w,p,d)})})},n.prototype.getFrozenTensorIds=function(t){var e=[].concat.apply([],Object.keys(t).map(function(i){return t[i]}).map(function(i){return i.map(function(r){return r.id})}));return new Set(e)},n.prototype.checkTensorForDisposal=function(t,e,i,r,a,s,o){if(e.category==="control"||s.indexOf(t)!==-1)return;i[t].forEach(function(l){l!=null&&(o[l.id]=(o[l.id]||0)+e.children.length)}),e.inputs.forEach(function(l){if(l.category!=="control"){var u=KF(l.name,i,r);u!=null&&u.forEach(function(c){if(c&&!a.has(c.id)){var h=o[c.id];h===1?(c.dispose(),delete o[c.id]):h!=null&&o[c.id]--}})}})},n.prototype.executeAsync=function(t,e){return kn(this,void 0,void 0,function(){return vn(this,function(i){return[2,this._executeAsync(t,e)]})})},n.prototype._executeAsync=function(t,e,i,r,a){return i===void 0&&(i=!1),r===void 0&&(r={}),a===void 0&&(a={}),kn(this,void 0,void 0,function(){var s,o,l,u,c,h;return vn(this,function(d){switch(d.label){case 0:return i||(t=this.mapInputs(t),this.checkInputs(t),this.checkInputShapeAndType(t),e=this.mapOutputs(e),this.checkOutputs(e)),s=new nw(this.weightMap,r,a,this.functionExecutorMap),[4,this.executeWithControlFlow(t,s,e,i)];case 1:return o=d.sent(),l=e.map(function(p){return Pt(p,o,s)}),u=l.map(function(p){return p.id}),c=Object.keys(t).map(function(p){return t[p].id}),h=new Set(u.concat(c,this.weightIds)),Object.keys(o).forEach(function(p){var f=o[p];f.forEach(function(m){m&&!m.isDisposed&&!h.has(m.id)&&m.dispose()})}),this.parent==null&&s.dispose(h),[2,l]}})})},n.prototype.executeFunctionAsync=function(t,e,i){return kn(this,void 0,void 0,function(){var r,a=this;return vn(this,function(s){return r=t.reduce(function(o,l,u){return o[a.inputs[u].name]=l,o},{}),[2,this._executeAsync(r,this.outputNodes,!0,e,i)]})})},n.prototype.executeWithControlFlow=function(t,e,i,r){return kn(this,void 0,void 0,function(){var a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,x=this;return vn(this,function(C){switch(C.label){case 0:a=Object.keys(t),s=a.map(function(R){return x.graph.nodes[Yt(R)[0]]}),o=i.map(function(R){return Yt(R)[0]}),l=o.map(function(R){return x.graph.nodes[R]}),u=rw(t,l,this.weightMap),c=u.usedNodes,h=u.missingInputs,d=u.dynamicNode,p=u.syncInputs,f=s.concat(this.graph.weights).map(function(R){return{node:R,contexts:e.currentContext}}),m=Kb({},this.weightMap),Object.keys(t).forEach(function(R){var D=Yt(R),k=D[0],W=D[1],F=[];F[W]=t[R],m[k]=F}),g={},v=this.getFrozenTensorIds(m),b={},C.label=1;case 1:return f.length>0?(w=this.processStack(s,f,e,m,b,v,o,g,c),[4,Promise.all(w)]):[3,3];case 2:return C.sent(),[3,1];case 3:if(d==null&&!r&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),S=l.filter(function(R){return!iw(R)&&!Pt(R.name,m,e)}).map(function(R){return R.name}),S.length>0)throw L="",d!=null&&(L="Alternatively, to avoid the dynamic ops, use model.execute() "+("and specify the inputs ["+p+"]")),new Error("Cannot compute the outputs ["+S+"] from the provided "+("inputs ["+a+"]. Consider providing the following inputs: ")+("["+h+"]. "+L));return[2,m]}})})},n.prototype.processStack=function(t,e,i,r,a,s,o,l,u){for(var c=this,h=[],d=function(){var f=e.pop();i.currentContext=f.contexts;var m="";if(f.node.op==="Enter"&&A("isConstant",f.node,r,i)&&(m=Kn(f.node.name,i)[0]),t.indexOf(f.node)===-1){var g=tw(f.node,r,i);m||(m=Kn(f.node.name,i)[0]);var v=i.currentContext;g instanceof Promise?h.push(g.then(function(b){return r[m]=b,i.currentContext=v,c.checkTensorForDisposal(m,f.node,r,i,s,o,l),c.processChildNodes(f.node,e,i,r,a,u),b})):(r[m]=g,p.checkTensorForDisposal(m,f.node,r,i,s,o,l),p.processChildNodes(f.node,e,i,r,a,u))}else p.processChildNodes(f.node,e,i,r,a,u)},p=this;e.length>0;)d();return h},n.prototype.processChildNodes=function(t,e,i,r,a,s){t.children.forEach(function(o){var l=Kn(o.name,i)[0];if(a[l]||!s.has(o.name))return;o.op==="Merge"?o.inputNames.some(function(u){return!!Pt(u,r,i)})&&(a[l]=!0,e.push({contexts:i.currentContext,node:o})):o.inputNames.every(function(u){return!!Pt(u,r,i)})&&(a[l]=!0,e.push({contexts:i.currentContext,node:o}))})},n.prototype.dispose=function(){var t=this;Object.keys(this.weightMap).forEach(function(e){return t.weightMap[e].forEach(function(i){return i.dispose()})})},n.prototype.checkInputShapeAndType=function(t){var e=this;Object.keys(t).forEach(function(i){var r=t[i],a=Yt(i)[0],s=e.graph.nodes[a];if(s.attrParams.shape&&s.attrParams.shape.value){var o=s.attrParams.shape.value,l=o.length===r.shape.length&&r.shape.every(function(u,c){return o[c]===-1||o[c]===u});B.util.assert(l,function(){return"The shape of dict['"+s.name+"'] provided in "+("model.execute(dict) must be ["+o+"], but was ")+("["+r.shape+"]")})}s.attrParams.dtype&&s.attrParams.dtype.value&&B.util.assert(r.dtype===s.attrParams.dtype.value,function(){return"The dtype of dict['"+s.name+"'] provided in model.execute(dict) must be "+(s.attrParams.dtype.value+", but was "+r.dtype)})})},n.prototype.mapInputs=function(t){var e={};for(var i in t)if(this._signature!=null&&this._signature.inputs!=null&&this._signature.inputs[i]!=null){var r=this._signature.inputs[i];e[r.name]=t[i]}else e[i]=t[i];return e},n.prototype.checkInputs=function(t){var e=this,i=Object.keys(t).filter(function(r){var a=Yt(r)[0];return e.graph.nodes[a]==null});if(i.length>0)throw new Error("The dict provided in model.execute(dict) has "+("keys: ["+i+"] that are not part of graph"))},n.prototype.mapOutputs=function(t){var e=this;return t.map(function(i){if(e._signature!=null&&e._signature.outputs!=null&&e._signature.outputs[i]!=null){var r=e._signature.outputs[i];return r.name}return i},{})},n.prototype.checkOutputs=function(t){var e=this;t.forEach(function(i){var r=Yt(i)[0];if(!e.graph.nodes[r])throw new Error("The output '"+i+"' is not found in the graph")})},n}();var nU="?tfjs-format=file",iU="model.json",sw=function(){function n(t,e){e===void 0&&(e={}),this.modelUrl=t,this.loadOptions=e,this.version="n/a",e==null&&(this.loadOptions={})}return Object.defineProperty(n.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),n.prototype.findIOHandler=function(){var t=this.modelUrl;if(t.load!=null)this.handler=t;else if(this.loadOptions.requestInit!=null)this.handler=B.io.browserHTTPRequest(t,this.loadOptions);else{var e=B.io.getLoadHandlers(t,this.loadOptions);if(e.length===0)e.push(B.io.browserHTTPRequest(t,this.loadOptions));else if(e.length>1)throw new Error("Found more than one ("+e.length+") load handlers for "+("URL '"+[t]+"'"));this.handler=e[0]}},n.prototype.load=function(){return kn(this,void 0,void 0,function(){var t;return vn(this,function(e){switch(e.label){case 0:if(this.findIOHandler(),this.handler.load==null)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,this.handler.load()];case 1:return t=e.sent(),[2,this.loadSync(t)]}})})},n.prototype.loadSync=function(t){this.artifacts=t;var e=this.artifacts.modelTopology,i={};this.artifacts.userDefinedMetadata!=null&&(i=this.artifacts.userDefinedMetadata.signature),this.version=e.versions.producer+"."+e.versions.minConsumer;var r=B.io.decodeWeights(this.artifacts.weightData,this.artifacts.weightSpecs);if(this.executor=new aw(Jb.Instance.transformGraph(e,i)),this.executor.weightMap=this.convertTensorMapToTensorsMap(r),t.modelInitializer!=null){var a=Jb.Instance.transformGraph(t.modelInitializer);this.initializer=new aw(a),this.initializer.weightMap=this.executor.weightMap,this.initializer.execute({},[])}return!0},n.prototype.save=function(t,e){return kn(this,void 0,void 0,function(){var i;return vn(this,function(r){if(typeof t=="string"){if(i=B.io.getSaveHandlers(t),i.length===0)throw new Error("Cannot find any save handlers for URL '"+t+"'");if(i.length>1)throw new Error("Found more than one ("+i.length+") save handlers for "+("URL '"+t+"'"));t=i[0]}if(t.save==null)throw new Error("GraphModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[2,t.save(this.artifacts)]})})},n.prototype.predict=function(t,e){return this.execute(t,this.outputNodes)},n.prototype.normalizeInputs=function(t){if(!(t instanceof B.Tensor)&&!Array.isArray(t))return t;if(t=Array.isArray(t)?t:[t],t.length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,"+("the graph model has "+this.inputNodes.length+" placeholders, ")+("while there are "+t.length+" input tensors."));return this.inputNodes.reduce(function(e,i,r){return e[i]=t[r],e},{})},n.prototype.normalizeOutputs=function(t){return t=t||this.outputNodes,Array.isArray(t)?t:[t]},n.prototype.execute=function(t,e){t=this.normalizeInputs(t),e=this.normalizeOutputs(e);var i=this.executor.execute(t,e);return i.length>1?i:i[0]},n.prototype.executeAsync=function(t,e){return kn(this,void 0,void 0,function(){var i;return vn(this,function(r){switch(r.label){case 0:return t=this.normalizeInputs(t),e=this.normalizeOutputs(e),[4,this.executor.executeAsync(t,e)];case 1:return i=r.sent(),[2,i.length>1?i:i[0]]}})})},n.prototype.convertTensorMapToTensorsMap=function(t){return Object.keys(t).reduce(function(e,i){return e[i]=[t[i]],e},{})},n.prototype.dispose=function(){this.executor.dispose(),this.initializer&&this.initializer.dispose()},n}();function rU(n,t){return t===void 0&&(t={}),kn(this,void 0,void 0,function(){var e;return vn(this,function(i){switch(i.label){case 0:if(n==null)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return t==null&&(t={}),t.fromTFHub&&(n.load==null&&(n.endsWith("/")||(n=n+"/"),n=""+n+iU+nU)),e=new sw(n,t),[4,e.load()];case 1:return i.sent(),[2,e]}})})}var aU="2.6.0";Qi.GraphModel=sw;Qi.deregisterOp=YF;Qi.loadGraphModel=rU;Qi.registerOp=GF;Qi.version_converter=aU});var lw=ge(()=>{});var uw=ge(()=>{});var Rw=ge(_t=>{"use strict";Object.defineProperty(_t,"__esModule",{value:!0});var Ne=Gi();var od=function(n,t){return od=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,i){e.__proto__=i}||function(e,i){for(var r in i)i.hasOwnProperty(r)&&(e[r]=i[r])},od(n,t)};function Ve(n,t){od(n,t);function e(){this.constructor=n}n.prototype=t===null?Object.create(t):(e.prototype=t.prototype,new e)}function se(n,t,e,i){return new(e||(e=Promise))(function(r,a){function s(u){try{l(i.next(u))}catch(c){a(c)}}function o(u){try{l(i.throw(u))}catch(c){a(c)}}function l(u){u.done?r(u.value):new e(function(c){c(u.value)}).then(s,o)}l((i=i.apply(n,t||[])).next())})}function oe(n,t){var e={label:0,sent:function(){if(a[0]&1)throw a[1];return a[1]},trys:[],ops:[]},i,r,a,s;return s={next:o(0),throw:o(1),return:o(2)},typeof Symbol=="function"&&(s[Symbol.iterator]=function(){return this}),s;function o(u){return function(c){return l([u,c])}}function l(u){if(i)throw new TypeError("Generator is already executing.");for(;e;)try{if(i=1,r&&(a=u[0]&2?r.return:u[0]?r.throw||((a=r.return)&&a.call(r),0):r.next)&&!(a=a.call(r,u[1])).done)return a;(r=0,a)&&(u=[u[0]&2,a.value]);switch(u[0]){case 0:case 1:a=u;break;case 4:return e.label++,{value:u[1],done:!1};case 5:e.label++,r=u[1],u=[0];continue;case 7:u=e.ops.pop(),e.trys.pop();continue;default:if(!(a=e.trys,a=a.length>0&&a[a.length-1])&&(u[0]===6||u[0]===2)){e=0;continue}if(u[0]===3&&(!a||u[1]>a[0]&&u[1]<a[3])){e.label=u[1];break}if(u[0]===6&&e.label<a[1]){e.label=a[1],a=u;break}if(a&&e.label<a[2]){e.label=a[2],e.ops.push(u);break}a[2]&&e.ops.pop(),e.trys.pop();continue}u=t.call(n,e)}catch(c){u=[6,c],r=0}finally{i=a=0}if(u[0]&5)throw u[1];return{value:u[0]?u[1]:void 0,done:!0}}}var qr=typeof globalThis!="undefined"?globalThis:typeof window!="undefined"?window:typeof global!="undefined"?global:typeof self!="undefined"?self:{};function er(n,t){return t={exports:{}},n(t,t.exports),t.exports}var sU=er(function(n){(function(t,e,i){function r(l){var u=this,c=o();u.next=function(){var h=2091639*u.s0+u.c*23283064365386963e-26;return u.s0=u.s1,u.s1=u.s2,u.s2=h-(u.c=h|0)},u.c=1,u.s0=c(" "),u.s1=c(" "),u.s2=c(" "),u.s0-=c(l),u.s0<0&&(u.s0+=1),u.s1-=c(l),u.s1<0&&(u.s1+=1),u.s2-=c(l),u.s2<0&&(u.s2+=1),c=null}function a(l,u){return u.c=l.c,u.s0=l.s0,u.s1=l.s1,u.s2=l.s2,u}function s(l,u){var c=new r(l),h=u&&u.state,d=c.next;return d.int32=function(){return c.next()*4294967296|0},d.double=function(){return d()+(d()*2097152|0)*11102230246251565e-32},d.quick=d,h&&(typeof h=="object"&&a(h,c),d.state=function(){return a(c,{})}),d}function o(){var l=4022871197,u=function(c){c=c.toString();for(var h=0;h<c.length;h++){l+=c.charCodeAt(h);var d=.02519603282416938*l;l=d>>>0,d-=l,d*=l,l=d>>>0,d-=l,l+=d*4294967296}return(l>>>0)*23283064365386963e-26};return u}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.alea=s})(qr,n,!1)}),oU=er(function(n){(function(t,e,i){function r(o){var l=this,u="";l.x=0,l.y=0,l.z=0,l.w=0,l.next=function(){var h=l.x^l.x<<11;return l.x=l.y,l.y=l.z,l.z=l.w,l.w^=l.w>>>19^h^h>>>8},o===(o|0)?l.x=o:u+=o;for(var c=0;c<u.length+64;c++)l.x^=u.charCodeAt(c)|0,l.next()}function a(o,l){return l.x=o.x,l.y=o.y,l.z=o.z,l.w=o.w,l}function s(o,l){var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(typeof c=="object"&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.xor128=s})(qr,n,!1)}),lU=er(function(n){(function(t,e,i){function r(o){var l=this,u="";l.next=function(){var h=l.x^l.x>>>2;return l.x=l.y,l.y=l.z,l.z=l.w,l.w=l.v,(l.d=l.d+362437|0)+(l.v=l.v^l.v<<4^(h^h<<1))|0},l.x=0,l.y=0,l.z=0,l.w=0,l.v=0,o===(o|0)?l.x=o:u+=o;for(var c=0;c<u.length+64;c++)l.x^=u.charCodeAt(c)|0,c==u.length&&(l.d=l.x<<10^l.x>>>4),l.next()}function a(o,l){return l.x=o.x,l.y=o.y,l.z=o.z,l.w=o.w,l.v=o.v,l.d=o.d,l}function s(o,l){var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(typeof c=="object"&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.xorwow=s})(qr,n,!1)}),uU=er(function(n){(function(t,e,i){function r(o){var l=this;l.next=function(){var c=l.x,h=l.i,d,p;return d=c[h],d^=d>>>7,p=d^d<<24,d=c[h+1&7],p^=d^d>>>10,d=c[h+3&7],p^=d^d>>>3,d=c[h+4&7],p^=d^d<<7,d=c[h+7&7],d=d^d<<13,p^=d^d<<9,c[h]=p,l.i=h+1&7,p};function u(c,h){var d,p,f=[];if(h===(h|0))p=f[0]=h;else for(h=""+h,d=0;d<h.length;++d)f[d&7]=f[d&7]<<15^h.charCodeAt(d)+f[d+1&7]<<13;for(;f.length<8;)f.push(0);for(d=0;d<8&&f[d]===0;++d);for(d==8?p=f[7]=-1:p=f[d],c.x=f,c.i=0,d=256;d>0;--d)c.next()}u(l,o)}function a(o,l){return l.x=o.x.slice(),l.i=o.i,l}function s(o,l){o==null&&(o=+new Date);var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(c.x&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.xorshift7=s})(qr,n,!1)}),cU=er(function(n){(function(t,e,i){function r(o){var l=this;l.next=function(){var c=l.w,h=l.X,d=l.i,p,f;return l.w=c=c+1640531527|0,f=h[d+34&127],p=h[d=d+1&127],f^=f<<13,p^=p<<17,f^=f>>>15,p^=p>>>12,f=h[d]=f^p,l.i=d,f+(c^c>>>16)|0};function u(c,h){var d,p,f,m,g,v=[],b=128;for(h===(h|0)?(p=h,h=null):(h=h+"\0",p=0,b=Math.max(b,h.length)),f=0,m=-32;m<b;++m)h&&(p^=h.charCodeAt((m+32)%h.length)),m===0&&(g=p),p^=p<<10,p^=p>>>15,p^=p<<4,p^=p>>>13,m>=0&&(g=g+1640531527|0,d=v[m&127]^=p+g,f=d==0?f+1:0);for(f>=128&&(v[(h&&h.length||0)&127]=-1),f=127,m=4*128;m>0;--m)p=v[f+34&127],d=v[f=f+1&127],p^=p<<13,d^=d<<17,p^=p>>>15,d^=d>>>12,v[f]=p^d;c.w=g,c.X=v,c.i=f}u(l,o)}function a(o,l){return l.i=o.i,l.w=o.w,l.X=o.X.slice(),l}function s(o,l){o==null&&(o=+new Date);var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(c.X&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.xor4096=s})(qr,n,!1)}),hU=er(function(n){(function(t,e,i){function r(o){var l=this,u="";l.next=function(){var h=l.b,d=l.c,p=l.d,f=l.a;return h=h<<25^h>>>7^d,d=d-p|0,p=p<<24^p>>>8^f,f=f-h|0,l.b=h=h<<20^h>>>12^d,l.c=d=d-p|0,l.d=p<<16^d>>>16^f,l.a=f-h|0},l.a=0,l.b=0,l.c=2654435769|0,l.d=1367130551,o===Math.floor(o)?(l.a=o/4294967296|0,l.b=o|0):u+=o;for(var c=0;c<u.length+20;c++)l.b^=u.charCodeAt(c)|0,l.next()}function a(o,l){return l.a=o.a,l.b=o.b,l.c=o.c,l.d=o.d,l}function s(o,l){var u=new r(o),c=l&&l.state,h=function(){return(u.next()>>>0)/4294967296};return h.double=function(){do var d=u.next()>>>11,p=(u.next()>>>0)/4294967296,f=(d+p)/(1<<21);while(f===0);return f},h.int32=u.next,h.quick=h,c&&(typeof c=="object"&&a(c,u),h.state=function(){return a(u,{})}),h}e&&e.exports?e.exports=s:i&&i.amd?i(function(){return s}):this.tychei=s})(qr,n,!1)}),tr=er(function(n){(function(t,e){var i=this,r=256,a=6,s=52,o="random",l=e.pow(r,a),u=e.pow(2,s),c=u*2,h=r-1,d;function p(S,L,x){var C=[];L=L==!0?{entropy:!0}:L||{};var R=v(g(L.entropy?[S,w(t)]:S??b(),3),C),D=new f(C),k=function(){for(var W=D.g(a),F=l,P=0;W<u;)W=(W+P)*r,F*=r,P=D.g(1);for(;W>=c;)W/=2,F/=2,P>>>=1;return(W+P)/F};return k.int32=function(){return D.g(4)|0},k.quick=function(){return D.g(4)/4294967296},k.double=k,v(w(D.S),t),(L.pass||x||function(W,F,P,H){return H&&(H.S&&m(H,D),W.state=function(){return m(D,{})}),P?(e[o]=W,F):W})(k,R,"global"in L?L.global:this==e,L.state)}e["seed"+o]=p;function f(S){var L,x=S.length,C=this,R=0,D=C.i=C.j=0,k=C.S=[];for(x||(S=[x++]);R<r;)k[R]=R++;for(R=0;R<r;R++)k[R]=k[D=h&D+S[R%x]+(L=k[R])],k[D]=L;(C.g=function(W){for(var F,P=0,H=C.i,_=C.j,K=C.S;W--;)F=K[H=h&H+1],P=P*r+K[h&(K[H]=K[_=h&_+F])+(K[_]=F)];return C.i=H,C.j=_,P})(r)}function m(S,L){return L.i=S.i,L.j=S.j,L.S=S.S.slice(),L}function g(S,L){var x=[],C=typeof S,R;if(L&&C=="object")for(R in S)try{x.push(g(S[R],L-1))}catch(D){}return x.length?x:C=="string"?S:S+"\0"}function v(S,L){for(var x=S+"",C,R=0;R<x.length;)L[h&R]=h&(C^=L[h&R]*19)+x.charCodeAt(R++);return w(L)}function b(){try{var S;return d&&(S=d.randomBytes)?S=S(r):(S=new Uint8Array(r),(i.crypto||i.msCrypto).getRandomValues(S)),w(S)}catch(C){var L=i.navigator,x=L&&L.plugins;return[+new Date,i,x,i.screen,w(t)]}}function w(S){return String.fromCharCode.apply(0,S)}if(v(e.random(),t),n.exports){n.exports=p;try{d=ps()}catch(S){}}})([],Math)});tr.alea=sU;tr.xor128=oU;tr.xorwow=lU;tr.xorshift7=uU;tr.xor4096=cU;tr.tychei=hU;var dU=tr,cw=dU.alea;function pU(n,t){return Co(n,t)}function Co(n,t,e,i){if(e===void 0&&(e=new Map),i===void 0&&(i=new Set),n==null)return null;if(i.has(n))throw new Error("Circular references are not supported.");if(e.has(n))return e.get(n);var r=t(n);if(r.recurse&&r.value!==null)throw new Error("A deep map function may not return both a value and recurse=true.");if(r.recurse)if(Gr(n)){var a=Array.isArray(n)?[]:{};i.add(n);for(var s in n){var o=n[s],l=Co(o,t,e,i);a[s]=l}return i.delete(n),a}else throw new Error("Can't recurse into non-iterable type: "+n);else return e.set(n,r.value),r.value}function fU(n,t){return t===void 0&&(t=dw),hw(n,t)}function hw(n,t,e){e===void 0&&(e=new Set);var i=n[0];if(e.has(i))throw new Error("Circular references are not supported.");var r=t(n);if(r.recurse&&r.value!==null)throw new Error("A deep zip function may not return both a value and recurse=true.");if(r.recurse)if(Gr(i)){var a=Array.isArray(i)?[]:{};e.add(i);var s=function(l){var u=n.map(function(h){return h[l]}),c=hw(u,t,e);a[l]=c};for(var o in i)s(o);return e.delete(i),a}else throw new Error("Can't recurse into non-iterable type: "+i);else return r.value}function dw(n){return n===null?null:Gr(n[0])?{value:null,recurse:!0}:{value:n,recurse:!1}}function pw(n,t){return se(this,void 0,void 0,function(){var e,i,r,a,s,o,l;return oe(this,function(u){switch(u.label){case 0:e=new Map,Co(n,t,e),i=0,r=Array.from(e.keys()),u.label=1;case 1:return i<r.length?(a=r[i],s=e.get(a),s instanceof Promise?[4,s]:[3,3]):[3,4];case 2:o=u.sent(),e.set(a,o),u.label=3;case 3:return i++,[3,1];case 4:return l=Co(n,t,e),[2,l]}})})}function Gr(n){return n!=null&&!ArrayBuffer.isView(n)&&(Array.isArray(n)||typeof n=="object"&&!(n instanceof Ne.Tensor))}function gU(n){return n==null||mU(n)||Array.isArray(n)||typeof n=="object"&&n instanceof Ne.Tensor||Ne.util.isTypedArray(n)}function mU(n){return n===null||typeof n!="object"&&typeof n!="function"}function yU(n){return pU(n,vU)}function vU(n){return n instanceof Ne.Tensor?{value:n.clone(),recurse:!1}:Gr(n)?{value:null,recurse:!0}:{value:n,recurse:!1}}var fw=function(){function n(t){if(this.capacity=t,this.begin=0,this.end=0,t==null)throw new RangeError("Can't create a ring buffer of unknown capacity.");if(t<1)throw new RangeError("Can't create ring buffer of capacity < 1.");this.data=new Array(t),this.doubledCapacity=2*t}return n.prototype.wrap=function(t){for(;t<0;)t+=this.doubledCapacity;return t%this.doubledCapacity},n.prototype.get=function(t){if(t<0)throw new RangeError("Can't get item at a negative index.");return this.data[t%this.capacity]},n.prototype.set=function(t,e){if(t<0)throw new RangeError("Can't set item at a negative index.");this.data[t%this.capacity]=e},n.prototype.length=function(){var t=this.end-this.begin;return t<0&&(t=this.doubledCapacity+t),t},n.prototype.isFull=function(){return this.length()===this.capacity},n.prototype.isEmpty=function(){return this.length()===0},n.prototype.push=function(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.set(this.end,t),this.end=this.wrap(this.end+1)},n.prototype.pushAll=function(t){for(var e=0,i=t;e<i.length;e++){var r=i[e];this.push(r)}},n.prototype.pop=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");this.end=this.wrap(this.end-1);var t=this.get(this.end);return this.set(this.end,void 0),t},n.prototype.unshift=function(t){if(this.isFull())throw new RangeError("Ring buffer is full.");this.begin=this.wrap(this.begin-1),this.set(this.begin,t)},n.prototype.shift=function(){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var t=this.get(this.begin);return this.set(this.begin,void 0),this.begin=this.wrap(this.begin+1),t},n.prototype.shuffleExcise=function(t){if(this.isEmpty())throw new RangeError("Ring buffer is empty.");var e=this.wrap(this.begin+t),i=this.get(e);return this.set(e,this.pop()),i},n}();var bU=function(n){Ve(t,n);function t(){return n.call(this,t.INITIAL_CAPACITY)||this}return t.prototype.isFull=function(){return!1},t.prototype.push=function(e){n.prototype.isFull.call(this)&&this.expand(),n.prototype.push.call(this,e)},t.prototype.unshift=function(e){n.prototype.isFull.call(this)&&this.expand(),n.prototype.unshift.call(this,e)},t.prototype.expand=function(){for(var e=this.capacity*2,i=new Array(e),r=this.length(),a=0;a<r;a++)i[a]=this.get(this.wrap(this.begin+a));this.data=i,this.capacity=e,this.doubledCapacity=2*this.capacity,this.begin=0,this.end=r},t.INITIAL_CAPACITY=32,t}(fw);function mw(n){return new wU(n)}function ld(n){return new SU(n)}function LU(n,t){return new gw(n,t)}function AU(n,t){return t===void 0&&(t=wi.FAIL),new IU(n,t)}var Tt=function(){function n(){}return n.prototype.toArray=function(){return se(this,void 0,void 0,function(){var t,e;return oe(this,function(i){switch(i.label){case 0:return t=[],[4,this.next()];case 1:e=i.sent(),i.label=2;case 2:return e.done?[3,4]:(t.push(e.value),[4,this.next()]);case 3:return e=i.sent(),[3,2];case 4:return[2,t]}})})},n.prototype.toArrayForTest=function(){return se(this,void 0,void 0,function(){var t,e,i;return oe(this,function(r){switch(r.label){case 0:return t=this.prefetch(100),e=[],[4,t.next()];case 1:i=r.sent(),r.label=2;case 2:return i.done?[3,4]:(e.push(i.value),[4,t.next()]);case 3:return i=r.sent(),[3,2];case 4:return[2,e]}})})},n.prototype.resolveFully=function(){return se(this,void 0,void 0,function(){var t;return oe(this,function(e){switch(e.label){case 0:return[4,this.next()];case 1:t=e.sent(),e.label=2;case 2:return t.done?[3,4]:[4,this.next()];case 3:return t=e.sent(),[3,2];case 4:return[2]}})})},n.prototype.resolveWhile=function(t){return se(this,void 0,void 0,function(){var e,i;return oe(this,function(r){switch(r.label){case 0:return[4,this.next()];case 1:e=r.sent(),i=t(e.value),r.label=2;case 2:return!e.done&&i?[4,this.next()]:[3,4];case 3:return e=r.sent(),i=t(e.value),[3,2];case 4:return[2]}})})},n.prototype.handleErrors=function(t){return new EU(this,t)},n.prototype.filter=function(t){return new RU(this,t)},n.prototype.map=function(t){return new OU(this,t)},n.prototype.mapAsync=function(t){return new vw(this,t)},n.prototype.serialMapAsync=function(t){return new vw(this,t).serial()},n.prototype.flatmap=function(t){return new DU(this,t)},n.prototype.forEachAsync=function(t){return se(this,void 0,void 0,function(){return oe(this,function(e){return[2,this.map(t).resolveFully()]})})},n.prototype.serialForEach=function(t){return se(this,void 0,void 0,function(){return oe(this,function(e){return[2,this.serialMapAsync(t).resolveWhile(function(i){return i===!0})]})})},n.prototype.rowMajorBatch=function(t,e){return e===void 0&&(e=!0),new CU(this,t,e)},n.prototype.columnMajorBatch=function(t,e,i){e===void 0&&(e=!0),i===void 0&&(i=dw);var r=this.rowMajorBatch(t,e);return r.map(function(a){return fU(a,i)})},n.prototype.concatenate=function(t,e){return new gw(mw([this,t]),e)},n.prototype.take=function(t){return t<0||t==null?this:new xU(this,t)},n.prototype.skip=function(t){return t<0||t==null?this:new NU(this,t)},n.prototype.prefetch=function(t){return new yw(this,t)},n.prototype.shuffle=function(t,e){return new kU(this,t,e)},n.prototype.serial=function(){return new TU(this)},n}(),wU=function(n){Ve(t,n);function t(e){var i=n.call(this)||this;return i.items=e,i.trav=0,i}return t.prototype.summary=function(){return"Array of "+this.items.length+" items"},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e;return oe(this,function(i){return this.trav>=this.items.length?[2,{value:null,done:!0}]:(e=this.items[this.trav],this.trav++,[2,{value:yU(e),done:!1}])})})},t}(Tt),SU=function(n){Ve(t,n);function t(e){var i=n.call(this)||this;return i.nextFn=e,i}return t.prototype.summary=function(){return"Function call"},t.prototype.next=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){try{return[2,this.nextFn()]}catch(i){throw i.message="Error thrown while iterating through a dataset: "+i.message,i}return[2]})})},t}(Tt),TU=function(n){Ve(t,n);function t(e){var i=n.call(this)||this;return i.upstream=e,i.lastRead=Promise.resolve({value:null,done:!1}),i}return t.prototype.summary=function(){return this.upstream.summary()+" -> Serial"},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e=this;return oe(this,function(i){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){return[2,this.upstream.next()]})})},t}(Tt),NU=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.maxCount=i,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}return t.prototype.summary=function(){return this.upstream.summary()+" -> Skip"},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e=this;return oe(this,function(i){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return se(this,void 0,void 0,function(){var e;return oe(this,function(i){switch(i.label){case 0:return this.count++<this.maxCount?[4,this.upstream.next()]:[3,2];case 1:return e=i.sent(),e.done?[2,e]:(Ne.dispose(e.value),[3,0]);case 2:return[2,this.upstream.next()]}})})},t}(Tt),xU=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.maxCount=i,r.count=0,r}return t.prototype.summary=function(){return this.upstream.summary()+" -> Take"},t.prototype.next=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){return this.count++>=this.maxCount?[2,{value:null,done:!0}]:[2,this.upstream.next()]})})},t}(Tt),CU=function(n){Ve(t,n);function t(e,i,r){r===void 0&&(r=!0);var a=n.call(this)||this;return a.upstream=e,a.batchSize=i,a.enableSmallLastBatch=r,a.lastRead=Promise.resolve({value:null,done:!1}),a}return t.prototype.summary=function(){return this.upstream.summary()+" -> RowMajorBatch"},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e=this;return oe(this,function(i){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return se(this,void 0,void 0,function(){var e,i;return oe(this,function(r){switch(r.label){case 0:e=[],r.label=1;case 1:return e.length<this.batchSize?[4,this.upstream.next()]:[3,3];case 2:return i=r.sent(),i.done?this.enableSmallLastBatch&&e.length>0?[2,{value:e,done:!1}]:[2,{value:null,done:!0}]:(e.push(i.value),[3,1]);case 3:return[2,{value:e,done:!1}]}})})},t}(Tt),RU=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.predicate=i,r.lastRead=Promise.resolve({value:null,done:!1}),r}return t.prototype.summary=function(){return this.upstream.summary()+" -> Filter"},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e=this;return oe(this,function(i){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return se(this,void 0,void 0,function(){var e;return oe(this,function(i){switch(i.label){case 0:return[4,this.upstream.next()];case 1:return e=i.sent(),e.done||this.predicate(e.value)?[2,e]:(Ne.dispose(e.value),[3,0]);case 2:return[2]}})})},t}(Tt),OU=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.transform=i,r}return t.prototype.summary=function(){return this.upstream.summary()+" -> Map"},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e,i,r,a,s,o,l;return oe(this,function(u){switch(u.label){case 0:return[4,this.upstream.next()];case 1:if(e=u.sent(),e.done)return[2,{value:null,done:!0}];for(i=Ne.tensor_util.getTensorsInContainer(e.value),r=this.transform(e.value),a=Ne.tensor_util.getTensorsInContainer(r),s=0,o=i;s<o.length;s++)l=o[s],Ne.tensor_util.isTensorInList(l,a)||l.dispose();return[2,{value:r,done:!1}]}})})},t}(Tt),EU=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.handler=i,r.count=0,r.lastRead=Promise.resolve({value:null,done:!1}),r}return t.prototype.summary=function(){return this.upstream.summary()+" -> handleErrors"},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e=this;return oe(this,function(i){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return se(this,void 0,void 0,function(){var e;return oe(this,function(i){switch(i.label){case 0:i.label=1;case 1:return i.trys.push([1,3,,4]),[4,this.upstream.next()];case 2:return[2,i.sent()];case 3:return e=i.sent(),this.handler(e)?[3,4]:[2,{value:null,done:!0}];case 4:return[3,0];case 5:return[2]}})})},t}(Tt),vw=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.transform=i,r}return t.prototype.summary=function(){return this.upstream.summary()+" -> AsyncMap"},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e,i,r,a,s,o,l;return oe(this,function(u){switch(u.label){case 0:return[4,this.upstream.next()];case 1:return e=u.sent(),e.done?[2,{value:null,done:!0}]:(i=Ne.tensor_util.getTensorsInContainer(e.value),[4,this.transform(e.value)]);case 2:for(r=u.sent(),a=Ne.tensor_util.getTensorsInContainer(r),s=0,o=i;s<o.length;s++)l=o[s],Ne.tensor_util.isTensorInList(l,a)||l.dispose();return[2,{value:r,done:!1}]}})})},t}(Tt),ud=function(n){Ve(t,n);function t(){var e=n.call(this)||this;return e.outputQueue=new bU,e.lastRead=Promise.resolve({value:null,done:!1}),e}return t.prototype.next=function(){return se(this,void 0,void 0,function(){var e=this;return oe(this,function(i){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.serialNext=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){switch(e.label){case 0:return this.outputQueue.length()===0?[4,this.pump()]:[3,2];case 1:return e.sent()?[3,0]:[2,{value:null,done:!0}];case 2:return[2,{value:this.outputQueue.shift(),done:!1}]}})})},t}(Tt),DU=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.transform=i,r}return t.prototype.summary=function(){return this.upstream.summary()+" -> Flatmap"},t.prototype.pump=function(){return se(this,void 0,void 0,function(){var e,i,r,a,s,o,l;return oe(this,function(u){switch(u.label){case 0:return[4,this.upstream.next()];case 1:if(e=u.sent(),e.done)return[2,!1];for(i=Ne.tensor_util.getTensorsInContainer(e.value),r=this.transform(e.value),a=Ne.tensor_util.getTensorsInContainer(r),this.outputQueue.pushAll(r),s=0,o=i;s<o.length;s++)l=o[s],Ne.tensor_util.isTensorInList(l,a)||l.dispose();return[2,!0]}})})},t}(ud),gw=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.baseErrorHandler=i,r.lastRead=null,r.iterator=null,r.moreIterators=e,r}return t.prototype.summary=function(){var e="TODO: fill in upstream of chained summaries";return e+" -> Chained"},t.prototype.next=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){return this.lastRead=this.readFromChain(this.lastRead),[2,this.lastRead]})})},t.prototype.readFromChain=function(e){return se(this,void 0,void 0,function(){var i,r;return oe(this,function(a){switch(a.label){case 0:return[4,e];case 1:return a.sent(),this.iterator==null?[4,this.moreIterators.next()]:[3,3];case 2:if(i=a.sent(),i.done)return[2,{value:null,done:!0}];this.iterator=i.value,this.baseErrorHandler!=null&&(this.iterator=this.iterator.handleErrors(this.baseErrorHandler)),a.label=3;case 3:return[4,this.iterator.next()];case 4:return r=a.sent(),r.done?(this.iterator=null,[2,this.readFromChain(e)]):[2,r]}})})},t}(Tt),wi;(function(n){n[n.FAIL=0]="FAIL",n[n.SHORTEST=1]="SHORTEST",n[n.LONGEST=2]="LONGEST"})(wi||(wi={}));var IU=function(n){Ve(t,n);function t(e,i){i===void 0&&(i=wi.FAIL);var r=n.call(this)||this;return r.iterators=e,r.mismatchMode=i,r.count=0,r.currentPromise=null,r}return t.prototype.summary=function(){var e="TODO: fill in upstream of zip summaries";return"{"+e+"} -> Zip"},t.prototype.nextState=function(e){return se(this,void 0,void 0,function(){function i(o){if(o instanceof Tt){var l=o.next();return{value:l.then(function(u){return r++,u.done&&a++,u.value}),recurse:!1}}else return{value:null,recurse:!0}}var r,a,s;return oe(this,function(o){switch(o.label){case 0:return[4,e];case 1:return o.sent(),r=0,a=0,[4,pw(this.iterators,i)];case 2:if(s=o.sent(),r===a)return[2,{value:null,done:!0}];if(a>0)switch(this.mismatchMode){case wi.FAIL:throw new Error("Zipped streams should have the same length. "+("Mismatched at element "+this.count+"."));case wi.SHORTEST:return[2,{value:null,done:!0}];case wi.LONGEST:}return this.count++,[2,{value:s,done:!1}]}})})},t.prototype.next=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){return this.currentPromise=this.nextState(this.currentPromise),[2,this.currentPromise]})})},t}(Tt),yw=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.bufferSize=i,r.buffer=new fw(i),r}return t.prototype.summary=function(){return this.upstream.summary()+" -> Prefetch"},t.prototype.refill=function(){for(;!this.buffer.isFull();){var e=this.upstream.next();this.buffer.push(e)}},t.prototype.next=function(){return this.refill(),this.buffer.shift()},t}(Tt),kU=function(n){Ve(t,n);function t(e,i,r){var a=n.call(this,e,i)||this;return a.upstream=e,a.windowSize=i,a.upstreamExhausted=!1,a.random=cw(r||Ne.util.now().toString()),a.lastRead=Promise.resolve({value:null,done:!1}),a}return t.prototype.next=function(){return se(this,void 0,void 0,function(){var e=this;return oe(this,function(i){return this.lastRead=this.lastRead.then(function(){return e.serialNext()}),[2,this.lastRead]})})},t.prototype.randomInt=function(e){return Math.floor(this.random()*e)},t.prototype.chooseIndex=function(){return this.randomInt(this.buffer.length())},t.prototype.serialNext=function(){return se(this,void 0,void 0,function(){var e,i;return oe(this,function(r){switch(r.label){case 0:this.upstreamExhausted||this.refill(),r.label=1;case 1:return this.buffer.isEmpty()?[3,3]:(e=this.chooseIndex(),[4,this.buffer.shuffleExcise(e)]);case 2:if(i=r.sent(),i.done)this.upstreamExhausted=!0;else return this.refill(),[2,i];return[3,1];case 3:return[2,{value:null,done:!0}]}})})},t}(yw);var Ya=function(){function n(){this.size=null}return n.prototype.batch=function(t,e){var i=this;e===void 0&&(e=!0);var r=this;Ne.util.assert(t>0,function(){return`batchSize needs to be positive, but it is
|
|
`+t});var a;return this.size===Infinity||this.size==null?a=this.size:e?a=Math.ceil(this.size/t):a=Math.floor(this.size/t),Kt(function(){return se(i,void 0,void 0,function(){return oe(this,function(s){switch(s.label){case 0:return[4,r.iterator()];case 1:return[2,s.sent().columnMajorBatch(t,e,FU)]}})})},a)},n.prototype.concatenate=function(t){var e=this,i=this,r;return this.size===Infinity||t.size===Infinity?r=Infinity:this.size!=null&&t.size!=null?r=this.size+t.size:r=null,Kt(function(){return se(e,void 0,void 0,function(){var a,s;return oe(this,function(o){switch(o.label){case 0:return[4,i.iterator()];case 1:return s=(a=o.sent()).concatenate,[4,t.iterator()];case 2:return[2,s.apply(a,[o.sent()])]}})})},r)},n.prototype.filter=function(t){var e=this,i=this,r;return this.size===Infinity?r=Infinity:r=null,Kt(function(){return se(e,void 0,void 0,function(){return oe(this,function(a){switch(a.label){case 0:return[4,i.iterator()];case 1:return[2,a.sent().filter(function(s){return Ne.tidy(function(){return t(s)})})]}})})},r)},n.prototype.forEachAsync=function(t){return se(this,void 0,void 0,function(){return oe(this,function(e){switch(e.label){case 0:return[4,this.iterator()];case 1:return[2,e.sent().forEachAsync(t)]}})})},n.prototype.map=function(t){var e=this,i=this;return Kt(function(){return se(e,void 0,void 0,function(){return oe(this,function(r){switch(r.label){case 0:return[4,i.iterator()];case 1:return[2,r.sent().map(function(a){return Ne.tidy(function(){return t(a)})})]}})})},this.size)},n.prototype.mapAsync=function(t){var e=this,i=this;return Kt(function(){return se(e,void 0,void 0,function(){return oe(this,function(r){switch(r.label){case 0:return[4,i.iterator()];case 1:return[2,r.sent().mapAsync(t)]}})})},this.size)},n.prototype.prefetch=function(t){var e=this;if(t==null)throw new RangeError("`Dataset.prefetch()` requires bufferSize to be specified.");var i=this;return Kt(function(){return se(e,void 0,void 0,function(){return oe(this,function(r){switch(r.label){case 0:return[4,i.iterator()];case 1:return[2,r.sent().prefetch(t)]}})})},this.size)},n.prototype.repeat=function(t){var e=this,i=this,r;return this.size!=null&&t>0?r=this.size*t:t===0?r=0:this.size!=null&&(t===void 0||t<0)?r=Infinity:r=null,Kt(function(){return se(e,void 0,void 0,function(){var a,s=this;return oe(this,function(o){return a=ld(function(){return se(s,void 0,void 0,function(){var l;return oe(this,function(u){switch(u.label){case 0:return l={},[4,i.iterator()];case 1:return[2,(l.value=u.sent(),l.done=!1,l)]}})})}),[2,LU(a.take(t))]})})},r)},n.prototype.skip=function(t){var e=this,i=this,r;return this.size!=null&&t>=0&&this.size>=t?r=this.size-t:this.size!=null&&(this.size<t||t===void 0||t<0)?r=0:r=null,Kt(function(){return se(e,void 0,void 0,function(){return oe(this,function(a){switch(a.label){case 0:return[4,i.iterator()];case 1:return[2,a.sent().skip(t)]}})})},r)},n.prototype.shuffle=function(t,e,i){var r=this;if(i===void 0&&(i=!0),t==null||t<0)throw this.size==null?new RangeError("`Dataset.shuffle()` requires bufferSize to be specified."):new RangeError("`Dataset.shuffle()` requires bufferSize to be specified. If your data fits in main memory (for regular JS objects), and/or GPU memory (for `tf.Tensor`s), consider setting "+("bufferSize to the dataset size ("+this.size+" elements)"));var a=this,s=cw(e||Ne.util.now().toString());return Kt(function(){return se(r,void 0,void 0,function(){var o;return oe(this,function(l){switch(l.label){case 0:return o=s.int32(),i&&(o+=s.int32()),[4,a.iterator()];case 1:return[2,l.sent().shuffle(t,o.toString())]}})})},this.size)},n.prototype.take=function(t){var e=this,i=this,r;return this.size!=null&&this.size>t?r=t:this.size!=null&&this.size<=t?r=this.size:r=null,Kt(function(){return se(e,void 0,void 0,function(){return oe(this,function(a){switch(a.label){case 0:return[4,i.iterator()];case 1:return[2,a.sent().take(t)]}})})},r)},n.prototype.toArray=function(){return se(this,void 0,void 0,function(){return oe(this,function(t){switch(t.label){case 0:if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,t.sent().toArray()]}})})},n.prototype.toArrayForTest=function(){return se(this,void 0,void 0,function(){return oe(this,function(t){switch(t.label){case 0:if(this.size===Infinity)throw new Error("Can not convert infinite data stream to array.");return[4,this.iterator()];case 1:return[2,t.sent().toArrayForTest()]}})})},n.MAX_BUFFER_SIZE=1e4,n}();function Kt(n,t){return t===void 0&&(t=null),new(function(e){Ve(i,e);function i(){var r=e!==null&&e.apply(this,arguments)||this;return r.size=t,r}return i.prototype.iterator=function(){return se(this,void 0,void 0,function(){return oe(this,function(r){return[2,n()]})})},i}(Ya))}function WU(n){var t=this;return Kt(function(){return se(t,void 0,void 0,function(){return oe(this,function(e){return[2,mw(n)]})})},n.length)}function UU(n){var t=this;if(!Gr(n))throw new Error("The argument to zip() must be an object or array.");var e;if(Array.isArray(n))for(var i=0;i<n.length;i++)e=e==null?n[i].size:Math.min(e,n[i].size);else if(n instanceof Object)for(var r in n)e=e==null?n[r].size:Math.min(e,n[r].size);return Kt(function(){return se(t,void 0,void 0,function(){var a;return oe(this,function(s){switch(s.label){case 0:return[4,pw(n,function(o){if(o instanceof Ya)return{value:o.iterator(),recurse:!1};if(Gr(o))return{value:null,recurse:!0};throw new Error("Leaves of the structure passed to zip() must be Datasets, not primitives.")})];case 1:return a=s.sent(),[2,AU(a,wi.SHORTEST)]}})})},e)}function FU(n){if(n===null)return null;var t=n[0];if(gU(t)){var e=BU(n);return{value:e,recurse:!1}}return{value:null,recurse:!0}}function BU(n){if(n.length===0)throw new Error("Can't make a batch of zero elements.");return n[0]instanceof Ne.Tensor?Ne.stack(n):Ne.tensor(n)}var bw=function(n){Ve(t,n);function t(e){var i=n.call(this)||this;return i.input=e,i}return t.prototype.iterator=function(){return se(this,void 0,void 0,function(){var e,i,r;return oe(this,function(a){switch(a.label){case 0:return[4,this.input.iterator()];case 1:return e=a.sent(),i=e.decodeUTF8(),r=i.split(`
|
|
`).map(function(s){return s.endsWith("\r")&&(s=s.slice(0,-1)),s}),[2,r]}})})},t}(Ya);var Ro='"',Ka=Symbol("out"),ww=Symbol("field"),Oo=Symbol("quote"),cd=Symbol("quoteafterquote"),Sw=Symbol("quoteinquote"),Lw=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.input=e,r.hasHeader=!0,r.fullColumnNames=null,r.columnNamesValidated=!1,r.columnConfigs=null,r.configuredColumnsOnly=!1,r.delimiter=",",r.delimWhitespace=!1,r.base=new bw(e),i||(i={}),r.hasHeader=!(i.hasHeader===!1),r.fullColumnNames=i.columnNames,r.columnConfigs=i.columnConfigs,r.configuredColumnsOnly=i.configuredColumnsOnly,i.delimWhitespace?(Ne.util.assert(i.delimiter==null,function(){return"Delimiter should not be provided when delimWhitespace is true."}),r.delimWhitespace=!0,r.delimiter=" "):r.delimiter=i.delimiter?i.delimiter:",",r}return t.prototype.columnNames=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){switch(e.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:e.sent(),e.label=2;case 2:return[2,this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames]}})})},t.prototype.setColumnNames=function(){return se(this,void 0,void 0,function(){var e,i,r,a,s,o,l,u=this;return oe(this,function(c){switch(c.label){case 0:return[4,this.maybeReadHeaderLine()];case 1:if(e=c.sent(),!this.fullColumnNames&&!e)throw new Error("Column names must be provided if there is no header line.");if(this.fullColumnNames&&e&&Ne.util.assert(e.length===this.fullColumnNames.length,function(){return"The length of provided columnNames ("+u.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+e.length.toString()+")."}),this.fullColumnNames||(this.fullColumnNames=e),i=this.fullColumnNames.reduce(function(h,d){return h[d]=h[d]+1||1,h},{}),r=Object.keys(i).filter(function(h){return i[h]>1}),Ne.util.assert(r.length===0,function(){return"Duplicate column names found: "+r.toString()}),this.columnConfigs){for(a=0,s=Object.keys(this.columnConfigs);a<s.length;a++)if(o=s[a],l=this.fullColumnNames.indexOf(o),l===-1)throw new Error('The key "'+o+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").")}return this.columnNamesValidated=!0,[2]}})})},t.prototype.maybeReadHeaderLine=function(){return se(this,void 0,void 0,function(){var e,i,r,a;return oe(this,function(s){switch(s.label){case 0:return this.hasHeader?[4,this.base.iterator()]:[3,3];case 1:return e=s.sent(),[4,e.next()];case 2:if(i=s.sent(),i.done)throw new Error("No data was found for CSV parsing.");return r=i.value,a=this.parseRow(r,!1),[2,a];case 3:return[2,null]}})})},t.prototype.iterator=function(){return se(this,void 0,void 0,function(){var e,i=this;return oe(this,function(r){switch(r.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:r.sent(),r.label=2;case 2:return[4,this.base.iterator()];case 3:return e=r.sent(),this.hasHeader&&(e=e.skip(1)),[2,e.map(function(a){return i.makeDataElement(a)})]}})})},t.prototype.makeDataElement=function(e){for(var i=this.parseRow(e),r={},a={},s=0;s<this.fullColumnNames.length;s++){var o=this.fullColumnNames[s],l=this.columnConfigs?this.columnConfigs[o]:null;if(this.configuredColumnsOnly&&!l)continue;var u=i[s],c=null;if(u==="")if(l&&l.default!==void 0)c=l.default;else{if(l&&(l.required||l.isLabel))throw new Error("Required column "+o+" is empty in this line: "+e);c=void 0}else{var h=Number(u);if(isNaN(h))l&&l.dtype==="bool"?c=this.getBoolean(u):c=u;else if(!l||!l.dtype)c=h;else switch(l.dtype){case"float32":c=h;break;case"int32":c=Math.floor(h);break;case"bool":c=this.getBoolean(u);break;default:c=h}}l&&l.isLabel?a[o]=c:r[o]=c}return Object.keys(a).length===0?r:{xs:r,ys:a}},t.prototype.getBoolean=function(e){return e==="1"||e.toLowerCase()==="true"?1:0},t.prototype.parseRow=function(e,i){i===void 0&&(i=!0);for(var r=[],a=0,s=e.length,o=Ka,l=0;l<s;l++)switch(o){case Ka:switch(e.charAt(l)){case Ro:a=l+1,o=Oo;break;case this.delimiter:if(a=l+1,this.delimiter===" "&&this.delimWhitespace)break;r.push(""),o=Ka;break;default:o=ww,a=l;break}break;case ww:switch(e.charAt(l)){case this.delimiter:r.push(e.substring(a,l)),o=Ka,a=l+1;break}break;case Oo:switch(e.charAt(l)){case Ro:o=cd;break}break;case cd:switch(e.charAt(l)){case this.delimiter:r.push(e.substring(a,l-1)),o=Ka,a=l+1;break;case Ro:o=Oo;break;default:o=Sw;break}break;case Sw:switch(e.charAt(l)){case Ro:o=Oo;break}break}if(o===cd?r.push(e.substring(a,s-1)):r.push(e.substring(a)),i&&r.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. Should have "+this.fullColumnNames.length+" elements in a row, but got "+r);return r},t}(Ya);var zU=function(n){Ve(t,n);function t(e){var i=n.call(this)||this;i.microphoneConfig=e,i.isClosed=!1,i.fftSize=e.fftSize||1024;var r=Math.log2(i.fftSize);if(i.fftSize<0||r<4||r>14||!Number.isInteger(r))throw new Error("Invalid fftSize: it must be a power of 2 between "+("2 to 4 and 2 to 14, but got "+i.fftSize));if(i.numFrames=e.numFramesPerSpectrogram||43,i.sampleRateHz=e.sampleRateHz,i.columnTruncateLength=e.columnTruncateLength||i.fftSize,i.audioTrackConstraints=e.audioTrackConstraints,i.smoothingTimeConstant=e.smoothingTimeConstant||0,i.includeSpectrogram=!(e.includeSpectrogram===!1),i.includeWaveform=e.includeWaveform===!0,!i.includeSpectrogram&&!i.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.");return i}return t.prototype.summary=function(){return"microphone"},t.create=function(e){return e===void 0&&(e={}),se(this,void 0,void 0,function(){var i;return oe(this,function(r){switch(r.label){case 0:if(Ne.env().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");return i=new t(e),[4,i.start()];case 1:return r.sent(),[2,i]}})})},t.prototype.start=function(){return se(this,void 0,void 0,function(){var e,i,r,a;return oe(this,function(s){switch(s.label){case 0:return s.trys.push([0,2,,3]),e=this,[4,navigator.mediaDevices.getUserMedia({audio:this.audioTrackConstraints==null?!0:this.audioTrackConstraints,video:!1})];case 1:return e.stream=s.sent(),[3,3];case 2:throw i=s.sent(),new Error("Error thrown while initializing video stream: "+i.message);case 3:if(!this.stream)throw new Error("Could not obtain audio from microphone.");if(r=window.AudioContext||window.webkitAudioContext,this.audioContext=new r,!this.sampleRateHz)this.sampleRateHz=this.audioContext.sampleRate;else if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error("Mismatch in sampling rate: "+("Expected: "+this.sampleRateHz+"; ")+("Actual: "+this.audioContext.sampleRate));return a=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=this.fftSize*2,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,a.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),[2]}})})},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e,i,r,a,s;return oe(this,function(o){switch(o.label){case 0:return this.isClosed?[2,{value:null,done:!0}]:[4,this.getAudioData()];case 1:return r=o.sent(),this.includeSpectrogram&&(a=this.flattenQueue(r.freqDataQueue),e=this.getTensorFromAudioDataArray(a,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(s=this.flattenQueue(r.timeDataQueue),i=this.getTensorFromAudioDataArray(s,[this.numFrames*this.fftSize,1])),[2,{value:{spectrogram:e,waveform:i},done:!1}]}})})},t.prototype.capture=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){switch(e.label){case 0:return[4,this.next()];case 1:return[2,e.sent().value]}})})},t.prototype.getAudioData=function(){return se(this,void 0,void 0,function(){var e,i,r,a=this;return oe(this,function(s){return e=[],i=[],r=0,[2,new Promise(function(o){var l=setInterval(function(){a.includeSpectrogram&&(a.analyser.getFloatFrequencyData(a.freqData),a.freqData[0]===-Infinity&&o({freqDataQueue:e,timeDataQueue:i}),e.push(a.freqData.slice(0,a.columnTruncateLength))),a.includeWaveform&&(a.analyser.getFloatTimeDomainData(a.timeData),i.push(a.timeData.slice())),++r===a.numFrames&&(clearInterval(l),o({freqDataQueue:e,timeDataQueue:i}))},a.fftSize/a.sampleRateHz*1e3)})]})})},t.prototype.stop=function(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),this.stream!=null&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())},t.prototype.toArray=function(){throw new Error("Can not convert infinite audio stream to array.")},t.prototype.getSampleRate=function(){return this.sampleRateHz},t.prototype.flattenQueue=function(e){var i=e[0].length,r=new Float32Array(e.length*i);return e.forEach(function(a,s){return r.set(a,s*i)}),r},t.prototype.getTensorFromAudioDataArray=function(e,i){var r=new Float32Array(Ne.util.sizeFromShape(i));return r.set(e,r.length-e.length),Ne.tensor(r,i)},t}(Tt);var PU=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;if(r.webcamVideoElement=e,r.webcamConfig=i,r.isClosed=!0,r.resize=!1,r.needToResize())if(r.resize=!0,r.cropSize=[r.webcamConfig.resizeHeight,r.webcamConfig.resizeWidth],r.cropBoxInd=Ne.tensor1d([0],"int32"),r.webcamConfig.centerCrop){var a=r.webcamConfig.resizeWidth*1/r.webcamVideoElement.width,s=r.webcamConfig.resizeHeight*1/r.webcamVideoElement.height,o=(1-a)/2,l=(1-s)/2,u=o+a,c=s+l;r.cropBox=Ne.tensor2d([l,o,c,u],[1,4])}else r.cropBox=Ne.tensor2d([0,0,1,1],[1,4]);return r}return t.prototype.summary=function(){return"webcam"},t.create=function(e,i){return i===void 0&&(i={}),se(this,void 0,void 0,function(){var r;return oe(this,function(a){switch(a.label){case 0:if(Ne.env().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!e){if(e=document.createElement("video"),!i.resizeWidth||!i.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");e.width=i.resizeWidth,e.height=i.resizeHeight}return r=new t(e,i),[4,r.start()];case 1:return a.sent(),[2,r]}})})},t.prototype.start=function(){return se(this,void 0,void 0,function(){var e,i,r=this;return oe(this,function(a){switch(a.label){case 0:this.webcamConfig.facingMode&&Ne.util.assert(this.webcamConfig.facingMode==="user"||this.webcamConfig.facingMode==="environment",function(){return"Invalid webcam facing mode: "+r.webcamConfig.facingMode+". Please provide 'user' or 'environment'"}),a.label=1;case 1:return a.trys.push([1,3,,4]),e=this,[4,navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})];case 2:return e.stream=a.sent(),[3,4];case 3:throw i=a.sent(),i.message="Error thrown while initializing video stream: "+i.message,i;case 4:if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(s){console.log(s),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,[2,new Promise(function(s){r.webcamVideoElement.onloadedmetadata=function(){s()}})]}})})},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e;return oe(this,function(i){if(this.isClosed)return[2,{value:null,done:!0}];try{e=Ne.browser.fromPixels(this.webcamVideoElement)}catch(r){throw new Error("Error thrown converting video to pixels: "+JSON.stringify(r))}if(this.resize)try{return[2,{value:this.cropAndResizeFrame(e),done:!1}]}catch(r){throw new Error("Error thrown cropping the video: "+r.message)}finally{e.dispose()}else return[2,{value:e,done:!1}];return[2]})})},t.prototype.needToResize=function(){return!!(this.webcamConfig.resizeWidth&&this.webcamConfig.resizeHeight&&(this.webcamVideoElement.width!==this.webcamConfig.resizeWidth||this.webcamVideoElement.height!==this.webcamConfig.resizeHeight))},t.prototype.cropAndResizeFrame=function(e){var i=this;return Ne.tidy(function(){var r=e.toFloat().expandDims(0),a;a=Ne.image.cropAndResize(r,i.cropBox,i.cropBoxInd,i.cropSize,"bilinear");var s=a.shape;return a.reshape(s.slice(1))})},t.prototype.capture=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){switch(e.label){case 0:return[4,this.next()];case 1:return[2,e.sent().value]}})})},t.prototype.stop=function(){var e=this.stream.getTracks();e.forEach(function(i){return i.stop()});try{this.webcamVideoElement.srcObject=null}catch(i){console.log(i),this.webcamVideoElement.src=null}this.isClosed=!0},t.prototype.toArray=function(){throw new Error("Can not convert infinite video stream to array.")},t}(Tt);var Iw=function(){function n(){}return n}();var Aw=function(n){Ve(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.split=function(e){return new _U(this,e)},t}(Tt),_U=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.impl=new MU(e,i),r}return t.prototype.summary=function(){return this.impl.summary()},t.prototype.next=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){return[2,this.impl.next()]})})},t}(Aw),MU=function(n){Ve(t,n);function t(e,i){var r=n.call(this)||this;return r.upstream=e,r.separator=i,r.carryover="",r}return t.prototype.summary=function(){return this.upstream.summary()+" -> Split('"+this.separator+"')"},t.prototype.pump=function(){return se(this,void 0,void 0,function(){var e,i,r,a,s;return oe(this,function(o){switch(o.label){case 0:return[4,this.upstream.next()];case 1:if(e=o.sent(),e.done)return this.carryover===""?[2,!1]:(this.outputQueue.push(this.carryover),this.carryover="",[2,!0]);for(i=e.value.split(this.separator),i[0]=this.carryover+i[0],r=0,a=i.slice(0,-1);r<a.length;r++)s=a[r],this.outputQueue.push(s);return this.carryover=i[i.length-1],[2,!0]}})})},t}(ud);var VU=function(n){Ve(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.decodeUTF8=function(){return new HU(this)},t}(Tt),HU=function(n){Ve(t,n);function t(e){var i=n.call(this)||this;return i.upstream=e,i.impl=new qU(e),i}return t.prototype.summary=function(){return this.impl.summary()},t.prototype.next=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){return[2,this.impl.next()]})})},t}(Aw),qU=function(n){Ve(t,n);function t(e){var i=n.call(this)||this;if(i.upstream=e,Ne.env().get("IS_BROWSER"))i.decoder=new TextDecoder("utf-8");else{var r=lw().StringDecoder;i.decoder=new r("utf8")}return i}return t.prototype.summary=function(){return this.upstream.summary()+" -> Utf8"},t.prototype.pump=function(){return se(this,void 0,void 0,function(){var e,i,r;return oe(this,function(a){switch(a.label){case 0:return[4,this.upstream.next()];case 1:return e=a.sent(),e.done?[2,!1]:(i=e.value,Ne.env().get("IS_BROWSER")?r=this.decoder.decode(i,{stream:!0}):r=this.decoder.write(Buffer.from(i.buffer)),this.outputQueue.push(r),[2,!0])}})})},t}(ud);var Tw=function(n){Ve(t,n);function t(e,i){i===void 0&&(i={});var r=n.call(this)||this;return r.file=e,r.options=i,Ne.util.assert(e instanceof Uint8Array||(Ne.env().get("IS_BROWSER")?e instanceof File||e instanceof Blob:!1),function(){return"FileChunkIterator only supports File, Blob and Uint8Array right now."}),r.offset=i.offset||0,r.chunkSize=i.chunkSize||1024*1024,r}return t.prototype.summary=function(){return"FileChunks "+this.file},t.prototype.next=function(){return se(this,void 0,void 0,function(){var e,i,r=this;return oe(this,function(a){switch(a.label){case 0:return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?[2,{value:null,done:!0}]:(e=new Promise(function(s,o){var l=r.offset+r.chunkSize;if(r.file instanceof Uint8Array)s(new Uint8Array(r.file.slice(r.offset,l)));else{var u=new FileReader;u.onload=function(h){var d=u.result;if(d instanceof ArrayBuffer&&(d=new Uint8Array(d)),!(d instanceof Uint8Array))return o(new TypeError("FileReader returned unknown type."));s(d)},u.onabort=function(h){return o(new Error("Aborted"))},u.onerror=function(h){return o(new Error(h.type))};var c=r.file.slice(r.offset,l);u.readAsArrayBuffer(c)}r.offset=l}),i={},[4,e]);case 1:return[2,(i.value=a.sent(),i.done=!1,i)]}})})},t}(VU);function YU(n,t){return t===void 0&&(t={}),se(this,void 0,void 0,function(){var e,i,r,a,s;return oe(this,function(o){switch(o.label){case 0:return typeof n=="string"?e=n:(e=n.url,i=GU(n)),[4,Ne.util.fetch(e,i)];case 1:return r=o.sent(),r.ok?(s=Uint8Array.bind,[4,r.arrayBuffer()]):[3,3];case 2:return a=new(s.apply(Uint8Array,[void 0,o.sent()])),[2,new Tw(a,t)];case 3:throw new Error(r.statusText)}})})}var GU=function(n){var t={method:n.method,headers:n.headers,body:n.body,mode:n.mode,credentials:n.credentials,cache:n.cache,redirect:n.redirect,referrer:n.referrer,integrity:n.integrity};return t};function Nw(n){return typeof n=="string"&&n.substr(0,7)==="file://"}var xw=function(n){Ve(t,n);function t(e,i){i===void 0&&(i={});var r=n.call(this)||this;return r.input=e,r.options=i,r}return t.prototype.iterator=function(){return se(this,void 0,void 0,function(){var e;return oe(this,function(i){return Nw(this.input)&&Ne.env().get("IS_NODE")&&(e=uw(),this.input=e.readFileSync(this.input.substr(7))),[2,new Tw(this.input,this.options)]})})},t}(Iw);var Cw=function(n){Ve(t,n);function t(e,i){i===void 0&&(i={});var r=n.call(this)||this;return r.url=e,r.fileOptions=i,r}return t.prototype.iterator=function(){return se(this,void 0,void 0,function(){return oe(this,function(e){return Nw(this.url)?[2,new xw(this.url,this.fileOptions).iterator()]:[2,YU(this.url,this.fileOptions)]})})},t}(Iw);function KU(n,t){return t===void 0&&(t={}),new Lw(new Cw(n),t)}function jU(n){var t=this,e=ld(n);return Kt(function(){return se(t,void 0,void 0,function(){return oe(this,function(i){return[2,e]})})})}function $U(n){var t=this;return Kt(function(){return se(t,void 0,void 0,function(){var e;return oe(this,function(i){switch(i.label){case 0:return[4,n()];case 1:return e=i.sent(),[2,ld(function(){return e.next()})]}})})})}function XU(n,t){return se(this,void 0,void 0,function(){return oe(this,function(e){return[2,PU.create(n,t)]})})}function JU(n){return se(this,void 0,void 0,function(){return oe(this,function(t){return[2,zU.create(n)]})})}var ZU="2.6.0";_t.CSVDataset=Lw;_t.Dataset=Ya;_t.FileDataSource=xw;_t.TextLineDataset=bw;_t.URLDataSource=Cw;_t.array=WU;_t.csv=KU;_t.func=jU;_t.generator=$U;_t.microphone=JU;_t.version_data=ZU;_t.webcam=XU;_t.zip=UU});var Ew=ge((Ow,hd)=>{(function(n,t,e){function i(o){var l=this,u=s();l.next=function(){var c=2091639*l.s0+l.c*23283064365386963e-26;return l.s0=l.s1,l.s1=l.s2,l.s2=c-(l.c=c|0)},l.c=1,l.s0=u(" "),l.s1=u(" "),l.s2=u(" "),l.s0-=u(o),l.s0<0&&(l.s0+=1),l.s1-=u(o),l.s1<0&&(l.s1+=1),l.s2-=u(o),l.s2<0&&(l.s2+=1),u=null}function r(o,l){return l.c=o.c,l.s0=o.s0,l.s1=o.s1,l.s2=o.s2,l}function a(o,l){var u=new i(o),c=l&&l.state,h=u.next;return h.int32=function(){return u.next()*4294967296|0},h.double=function(){return h()+(h()*2097152|0)*11102230246251565e-32},h.quick=h,c&&(typeof c=="object"&&r(c,u),h.state=function(){return r(u,{})}),h}function s(){var o=4022871197,l=function(u){u=u.toString();for(var c=0;c<u.length;c++){o+=u.charCodeAt(c);var h=.02519603282416938*o;o=h>>>0,h-=o,h*=o,o=h>>>0,h-=o,o+=h*4294967296}return(o>>>0)*23283064365386963e-26};return l}t&&t.exports?t.exports=a:e&&e.amd?e(function(){return a}):this.alea=a})(Ow,typeof hd=="object"&&hd,typeof define=="function"&&define)});var kw=ge((Dw,dd)=>{(function(n,t,e){function i(s){var o=this,l="";o.x=0,o.y=0,o.z=0,o.w=0,o.next=function(){var c=o.x^o.x<<11;return o.x=o.y,o.y=o.z,o.z=o.w,o.w^=o.w>>>19^c^c>>>8},s===(s|0)?o.x=s:l+=s;for(var u=0;u<l.length+64;u++)o.x^=l.charCodeAt(u)|0,o.next()}function r(s,o){return o.x=s.x,o.y=s.y,o.z=s.z,o.w=s.w,o}function a(s,o){var l=new i(s),u=o&&o.state,c=function(){return(l.next()>>>0)/4294967296};return c.double=function(){do var h=l.next()>>>11,d=(l.next()>>>0)/4294967296,p=(h+d)/(1<<21);while(p===0);return p},c.int32=l.next,c.quick=c,u&&(typeof u=="object"&&r(u,l),c.state=function(){return r(l,{})}),c}t&&t.exports?t.exports=a:e&&e.amd?e(function(){return a}):this.xor128=a})(Dw,typeof dd=="object"&&dd,typeof define=="function"&&define)});var Ww=ge((Fw,pd)=>{(function(n,t,e){function i(s){var o=this,l="";o.next=function(){var c=o.x^o.x>>>2;return o.x=o.y,o.y=o.z,o.z=o.w,o.w=o.v,(o.d=o.d+362437|0)+(o.v=o.v^o.v<<4^(c^c<<1))|0},o.x=0,o.y=0,o.z=0,o.w=0,o.v=0,s===(s|0)?o.x=s:l+=s;for(var u=0;u<l.length+64;u++)o.x^=l.charCodeAt(u)|0,u==l.length&&(o.d=o.x<<10^o.x>>>4),o.next()}function r(s,o){return o.x=s.x,o.y=s.y,o.z=s.z,o.w=s.w,o.v=s.v,o.d=s.d,o}function a(s,o){var l=new i(s),u=o&&o.state,c=function(){return(l.next()>>>0)/4294967296};return c.double=function(){do var h=l.next()>>>11,d=(l.next()>>>0)/4294967296,p=(h+d)/(1<<21);while(p===0);return p},c.int32=l.next,c.quick=c,u&&(typeof u=="object"&&r(u,l),c.state=function(){return r(l,{})}),c}t&&t.exports?t.exports=a:e&&e.amd?e(function(){return a}):this.xorwow=a})(Fw,typeof pd=="object"&&pd,typeof define=="function"&&define)});var Bw=ge((Uw,fd)=>{(function(n,t,e){function i(s){var o=this;o.next=function(){var u=o.x,c=o.i,h,d,p;return h=u[c],h^=h>>>7,d=h^h<<24,h=u[c+1&7],d^=h^h>>>10,h=u[c+3&7],d^=h^h>>>3,h=u[c+4&7],d^=h^h<<7,h=u[c+7&7],h=h^h<<13,d^=h^h<<9,u[c]=d,o.i=c+1&7,d};function l(u,c){var h,d,p=[];if(c===(c|0))d=p[0]=c;else for(c=""+c,h=0;h<c.length;++h)p[h&7]=p[h&7]<<15^c.charCodeAt(h)+p[h+1&7]<<13;for(;p.length<8;)p.push(0);for(h=0;h<8&&p[h]===0;++h);for(h==8?d=p[7]=-1:d=p[h],u.x=p,u.i=0,h=256;h>0;--h)u.next()}l(o,s)}function r(s,o){return o.x=s.x.slice(),o.i=s.i,o}function a(s,o){s==null&&(s=+new Date);var l=new i(s),u=o&&o.state,c=function(){return(l.next()>>>0)/4294967296};return c.double=function(){do var h=l.next()>>>11,d=(l.next()>>>0)/4294967296,p=(h+d)/(1<<21);while(p===0);return p},c.int32=l.next,c.quick=c,u&&(u.x&&r(u,l),c.state=function(){return r(l,{})}),c}t&&t.exports?t.exports=a:e&&e.amd?e(function(){return a}):this.xorshift7=a})(Uw,typeof fd=="object"&&fd,typeof define=="function"&&define)});var Pw=ge((zw,md)=>{(function(n,t,e){function i(s){var o=this;o.next=function(){var u=o.w,c=o.X,h=o.i,d,p;return o.w=u=u+1640531527|0,p=c[h+34&127],d=c[h=h+1&127],p^=p<<13,d^=d<<17,p^=p>>>15,d^=d>>>12,p=c[h]=p^d,o.i=h,p+(u^u>>>16)|0};function l(u,c){var h,d,p,f,m,g=[],v=128;for(c===(c|0)?(d=c,c=null):(c=c+"\0",d=0,v=Math.max(v,c.length)),p=0,f=-32;f<v;++f)c&&(d^=c.charCodeAt((f+32)%c.length)),f===0&&(m=d),d^=d<<10,d^=d>>>15,d^=d<<4,d^=d>>>13,f>=0&&(m=m+1640531527|0,h=g[f&127]^=d+m,p=h==0?p+1:0);for(p>=128&&(g[(c&&c.length||0)&127]=-1),p=127,f=4*128;f>0;--f)d=g[p+34&127],h=g[p=p+1&127],d^=d<<13,h^=h<<17,d^=d>>>15,h^=h>>>12,g[p]=d^h;u.w=m,u.X=g,u.i=p}l(o,s)}function r(s,o){return o.i=s.i,o.w=s.w,o.X=s.X.slice(),o}function a(s,o){s==null&&(s=+new Date);var l=new i(s),u=o&&o.state,c=function(){return(l.next()>>>0)/4294967296};return c.double=function(){do var h=l.next()>>>11,d=(l.next()>>>0)/4294967296,p=(h+d)/(1<<21);while(p===0);return p},c.int32=l.next,c.quick=c,u&&(u.X&&r(u,l),c.state=function(){return r(l,{})}),c}t&&t.exports?t.exports=a:e&&e.amd?e(function(){return a}):this.xor4096=a})(zw,typeof md=="object"&&md,typeof define=="function"&&define)});var Mw=ge((_w,gd)=>{(function(n,t,e){function i(s){var o=this,l="";o.next=function(){var c=o.b,h=o.c,d=o.d,p=o.a;return c=c<<25^c>>>7^h,h=h-d|0,d=d<<24^d>>>8^p,p=p-c|0,o.b=c=c<<20^c>>>12^h,o.c=h=h-d|0,o.d=d<<16^h>>>16^p,o.a=p-c|0},o.a=0,o.b=0,o.c=2654435769|0,o.d=1367130551,s===Math.floor(s)?(o.a=s/4294967296|0,o.b=s|0):l+=s;for(var u=0;u<l.length+20;u++)o.b^=l.charCodeAt(u)|0,o.next()}function r(s,o){return o.a=s.a,o.b=s.b,o.c=s.c,o.d=s.d,o}function a(s,o){var l=new i(s),u=o&&o.state,c=function(){return(l.next()>>>0)/4294967296};return c.double=function(){do var h=l.next()>>>11,d=(l.next()>>>0)/4294967296,p=(h+d)/(1<<21);while(p===0);return p},c.int32=l.next,c.quick=c,u&&(typeof u=="object"&&r(u,l),c.state=function(){return r(l,{})}),c}t&&t.exports?t.exports=a:e&&e.amd?e(function(){return a}):this.tychei=a})(_w,typeof gd=="object"&&gd,typeof define=="function"&&define)});var Hw=ge((UH,Eo)=>{(function(n,t){var e=this,i=256,r=6,a=52,s="random",o=t.pow(i,r),l=t.pow(2,a),u=l*2,c=i-1,h;function d(w,S,L){var x=[];S=S==!0?{entropy:!0}:S||{};var C=g(m(S.entropy?[w,b(n)]:w??v(),3),x),R=new p(x),D=function(){for(var k=R.g(r),W=o,F=0;k<l;)k=(k+F)*i,W*=i,F=R.g(1);for(;k>=u;)k/=2,W/=2,F>>>=1;return(k+F)/W};return D.int32=function(){return R.g(4)|0},D.quick=function(){return R.g(4)/4294967296},D.double=D,g(b(R.S),n),(S.pass||L||function(k,W,F,P){return P&&(P.S&&f(P,R),k.state=function(){return f(R,{})}),F?(t[s]=k,W):k})(D,C,"global"in S?S.global:this==t,S.state)}t["seed"+s]=d;function p(w){var S,L=w.length,x=this,C=0,R=x.i=x.j=0,D=x.S=[];for(L||(w=[L++]);C<i;)D[C]=C++;for(C=0;C<i;C++)D[C]=D[R=c&R+w[C%L]+(S=D[C])],D[R]=S;(x.g=function(k){for(var W,F=0,P=x.i,H=x.j,_=x.S;k--;)W=_[P=c&P+1],F=F*i+_[c&(_[P]=_[H=c&H+W])+(_[H]=W)];return x.i=P,x.j=H,F})(i)}function f(w,S){return S.i=w.i,S.j=w.j,S.S=w.S.slice(),S}function m(w,S){var L=[],x=typeof w,C;if(S&&x=="object")for(C in w)try{L.push(m(w[C],S-1))}catch(R){}return L.length?L:x=="string"?w:w+"\0"}function g(w,S){for(var L=w+"",x,C=0;C<L.length;)S[c&C]=c&(x^=S[c&C]*19)+L.charCodeAt(C++);return b(S)}function v(){try{var w;return h&&(w=h.randomBytes)?w=w(i):(w=new Uint8Array(i),(e.crypto||e.msCrypto).getRandomValues(w)),b(w)}catch(x){var S=e.navigator,L=S&&S.plugins;return[+new Date,e,L,e.screen,b(n)]}}function b(w){return String.fromCharCode.apply(0,w)}if(g(t.random(),n),typeof Eo=="object"&&Eo.exports){Eo.exports=d;try{h=ps()}catch(w){}}else typeof define=="function"&&define.amd&&define(function(){return d})})([],Math)});var qw=ge((BH,Vw)=>{var QU=Ew(),eB=kw(),tB=Ww(),nB=Bw(),iB=Pw(),rB=Mw(),nr=Hw();nr.alea=QU;nr.xor128=eB;nr.xorwow=tB;nr.xorshift7=nB;nr.xor4096=iB;nr.tychei=rB;Vw.exports=nr});var g0=ge(ja=>{"use strict";Object.defineProperty(ja,"__esModule",{value:!0});var T=Gi(),aB=qw();var vd=function(n,t){return vd=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,i){e.__proto__=i}||function(e,i){for(var r in i)i.hasOwnProperty(r)&&(e[r]=i[r])},vd(n,t)};function sB(n,t){vd(n,t);function e(){this.constructor=n}n.prototype=t===null?Object.create(t):(e.prototype=t.prototype,new e)}function Gw(n,t,e,i){function r(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(c){try{u(i.next(c))}catch(h){s(h)}}function l(c){try{u(i.throw(c))}catch(h){s(h)}}function u(c){c.done?a(c.value):r(c.value).then(o,l)}u((i=i.apply(n,t||[])).next())})}function Yw(n,t){var e={label:0,sent:function(){if(a[0]&1)throw a[1];return a[1]},trys:[],ops:[]},i,r,a,s;return s={next:o(0),throw:o(1),return:o(2)},typeof Symbol=="function"&&(s[Symbol.iterator]=function(){return this}),s;function o(u){return function(c){return l([u,c])}}function l(u){if(i)throw new TypeError("Generator is already executing.");for(;e;)try{if(i=1,r&&(a=u[0]&2?r.return:u[0]?r.throw||((a=r.return)&&a.call(r),0):r.next)&&!(a=a.call(r,u[1])).done)return a;(r=0,a)&&(u=[u[0]&2,a.value]);switch(u[0]){case 0:case 1:a=u;break;case 4:return e.label++,{value:u[1],done:!1};case 5:e.label++,r=u[1],u=[0];continue;case 7:u=e.ops.pop(),e.trys.pop();continue;default:if(!(a=e.trys,a=a.length>0&&a[a.length-1])&&(u[0]===6||u[0]===2)){e=0;continue}if(u[0]===3&&(!a||u[1]>a[0]&&u[1]<a[3])){e.label=u[1];break}if(u[0]===6&&e.label<a[1]){e.label=a[1],a=u;break}if(a&&e.label<a[2]){e.label=a[2],e.ops.push(u);break}a[2]&&e.ops.pop(),e.trys.pop();continue}u=t.call(n,e)}catch(c){u=[6,c],r=0}finally{i=a=0}if(u[0]&5)throw u[1];return{value:u[0]?u[1]:void 0,done:!0}}}function ae(n,t){Array.isArray(n)||(n=[n]),n.forEach(function(e){e!=null&&T.util.assert(e.dtype!=="complex64",function(){return t+" does not support complex64 tensors in the CPU backend."})})}var oB=T.kernel_impls.nonMaxSuppressionV3Impl,lB=T.kernel_impls.split,uB=T.kernel_impls.tile,cB=T.kernel_impls.topkImpl,hB=T.kernel_impls.whereImpl;function yd(n,t,e,i){if(e==="linear")return n.linear(t);if(e==="relu")return n.relu(t);if(e==="elu")return T.elu(t);if(e==="relu6")return n.relu6(t);if(e==="prelu")return n.prelu(t,i);throw new Error("Activation "+e+" has not been implemented for the CPU backend.")}var Kw=function(n){sB(t,n);function t(){var e=n.call(this)||this;return e.blockSize=48,e.firstUse=!0,e.data=new T.DataStorage(e,T.engine()),e}return t.prototype.write=function(e,i,r){this.firstUse&&(this.firstUse=!1,T.env().get("IS_NODE")&&T.backend_util.warn(`
|
|
============================
|
|
Hi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.
|
|
============================`));var a={};return this.data.set(a,{values:e,dtype:r,refCount:1}),a},t.prototype.makeTensorInfo=function(e,i,r){var a=this.write(r,e,i);return{dataId:a,shape:e,dtype:i}},t.prototype.incRef=function(e){var i=this.data.get(e);i.refCount++},t.prototype.decRef=function(e){if(this.data.has(e)){var i=this.data.get(e);i.refCount--}},t.prototype.move=function(e,i,r,a){this.data.set(e,{values:i,dtype:a,refCount:1})},t.prototype.numDataIds=function(){return this.data.numDataIds()},t.prototype.read=function(e){return Gw(this,void 0,void 0,function(){return Yw(this,function(i){return[2,this.readSync(e)]})})},t.prototype.readSync=function(e){var i=this.data.get(e),r=i.dtype,a=i.complexTensorInfos;if(r==="complex64"){var s=this.readSync(a.real.dataId),o=this.readSync(a.imag.dataId);return T.backend_util.mergeRealAndImagArrays(s,o)}return this.data.get(e).values},t.prototype.bufferSync=function(e){var i=this.readSync(e.dataId),r=i;if(e.dtype==="string")try{r=i.map(function(a){return T.util.decodeString(a)})}catch(a){throw new Error("Failed to decode encoded string bytes into utf-8")}return T.buffer(e.shape,e.dtype,r)},t.prototype.makeOutput=function(e,i,r){var a=this.write(e,i,r);return T.engine().makeTensorFromDataId(a,i,r,this)},t.prototype.disposeData=function(e){if(this.data.has(e)){var i=this.data.get(e).complexTensorInfos;i!=null&&(this.disposeData(i.real.dataId),this.disposeData(i.imag.dataId)),this.data.delete(e)}},t.prototype.disposeIntermediateTensorInfo=function(e){var i=e.dataId;if(this.data.has(i)){var r=this.data.get(i);r.refCount--,r.refCount<1&&this.disposeData(i)}},t.prototype.time=function(e){return Gw(this,void 0,void 0,function(){var i,r;return Yw(this,function(a){return i=T.util.now(),e(),r=T.util.now()-i,[2,{kernelMs:r}]})})},t.prototype.memory=function(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}},t.prototype.stridedSlice=function(e,i,r,a){ae(e,"stridedSlice");var s=T.slice_util.computeOutShape(i,r,a);if(s.some(function(p){return p===0}))return T.tensor([],s);for(var o=T.buffer(s,e.dtype),l=this.bufferSync(e),u=0;u<o.size;u++){for(var c=o.indexToLoc(u),h=new Array(c.length),d=0;d<h.length;d++)h[d]=c[d]*a[d]+i[d];o.set.apply(o,[l.get.apply(l,h)].concat(c))}return o.toTensor()},t.prototype.diag=function(e){for(var i=this.readSync(e.dataId),r=T.buffer([e.size,e.size],e.dtype),a=r.values,s=0;s<i.length;s++)a[s*e.size+s]=i[s];return r.toTensor()},t.prototype.unstack=function(e,i){for(var r=e.shape[i],a=new Array(e.rank-1),s=0,o=0;o<e.rank;o++)o!==i&&(a[s++]=e.shape[o]);var l=new Array(e.rank).fill(0),u=e.shape.slice();u[i]=1;for(var c=new Array(r),o=0;o<c.length;o++)l[i]=o,c[o]=T.slice(e,l,u).reshape(a);return c},t.prototype.reverse=function(e,i){ae(e,"reverse");for(var r=T.buffer(e.shape,e.dtype),a=this.bufferSync(e),s=function(l){var u=r.indexToLoc(l),c=u.slice();i.forEach(function(h){return c[h]=e.shape[h]-1-c[h]}),r.set.apply(r,[a.get.apply(a,c)].concat(u))},o=0;o<r.size;o++)s(o);return r.toTensor()},t.prototype.neg=function(e){return ae(e,"neg"),T.mul(T.scalar(-1),e)},t.prototype.addN=function(e){var i=this;ae(e,"addN");for(var r=e.map(function(c){return i.readSync(c.dataId)}),a=T.buffer(e[0].shape,e[0].dtype),s=a.values,o=0;o<e.length;o++)for(var l=r[o],u=0;u<s.length;u++)s[u]+=l[u];return a.toTensor()},t.prototype.softmax=function(e,i){var r=T.util.parseAxisParam([i],e.shape),a=T.max(e,r),s=T.backend_util.expandShapeToKeepDim(a.shape,r),o=T.sub(e,a.reshape(s)),l=T.exp(o),u=this.sum(l,r).reshape(s);return T.div(l,u)},t.prototype.pow=function(e,i){return ae([e,i],"pow"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){return Math.pow(r,a)})},t.prototype.batchMatMul=function(e,i,r,a){ae([e,i],"matMul");for(var s=r?e.shape[1]:e.shape[2],o=r?e.shape[2]:e.shape[1],l=a?i.shape[1]:i.shape[2],u=e.shape[0],c=this.readSync(e.dataId),h=this.readSync(i.dataId),d=r?[e.strides[0],1,e.strides[1]]:[e.strides[0],e.strides[1],1],p=d[0],f=d[1],m=d[2],g=a?[1,i.strides[1],i.strides[0]]:[i.strides[1],1,i.strides[0]],v=g[0],b=g[1],w=g[2],S=o*l,L=T.buffer([u,o,l],e.dtype),x=L.values,C=this.blockSize,R=0;R<u;R++)for(var D=0;D<o;D+=C)for(var k=0;k<l;k+=C)for(var W=0;W<s;W+=C)for(var F=Math.min(D+C,o),P=Math.min(k+C,l),H=Math.min(W+C,s),_=D;_<F;_++)for(var K=k;K<P;K++){for(var j=0,q=W;q<H;q++)j+=c[R*p+_*f+q*m]*h[q*v+K*b+R*w];x[R*S+(_*l+K)]+=j}return L.toTensor()},t.prototype.fusedBatchMatMul=function(e){var i=e.a,r=e.b,a=e.transposeA,s=e.transposeB,o=e.bias,l=e.activation,u=e.preluActivationWeights,c=this.batchMatMul(i,r,a,s);return o&&(c=T.add(c,o)),l&&(c=yd(this,c,l,u)),c},t.prototype.floorDiv=function(e,i){ae([e,i],"floorDiv");var r=function(s,o){return Math.floor(s/o)},a="int32";return this.broadcastedBinaryOp(e,i,a,r)},t.prototype.sum=function(e,i){ae(e,"sum"),T.backend_util.assertAxesAreInnerMostDims("sum",i,e.rank);for(var r=T.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=T.upcastType(e.dtype,"int32"),l=T.zeros(a,o),u=T.util.sizeFromShape(s),c=this.readSync(l.dataId),h=this.readSync(e.dataId),d=0;d<c.length;++d){for(var p=d*u,f=0,m=0;m<u;++m)f+=h[p+m];c[d]=f}return l},t.prototype.prod=function(e,i){ae(e,"sum");for(var r=T.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=T.upcastType(e.dtype,"int32"),l=T.zeros(a,o),u=T.util.sizeFromShape(s),c=this.readSync(l.dataId),h=this.readSync(e.dataId),d=0;d<c.length;++d){for(var p=d*u,f=1,m=0;m<u;++m)f*=h[p+m];c[d]=f}return l},t.prototype.unsortedSegmentSum=function(e,i,r){ae(e,"unsortedSegmentSum");for(var a=[],s=e.rank-i.rank,o=0;o<s;++o)i=i.expandDims(o+1);for(var o=0;o<r;++o){var l=T.scalar(o,"int32"),u=T.equal(l,i).asType("float32"),c=u.mul(e).sum(0);a.push(c)}return T.stack(a)},t.prototype.argMin=function(e,i){ae(e,"argMin");var r=[i];T.backend_util.assertAxesAreInnerMostDims("argMin",r,e.rank);for(var a=T.backend_util.computeOutAndReduceShapes(e.shape,r),s=a[0],o=a[1],l=T.zeros(s,"int32"),u=T.util.sizeFromShape(o),c=this.readSync(l.dataId),h=this.readSync(e.dataId),d=0;d<c.length;++d){for(var p=d*u,f=h[p],m=0,g=0;g<u;++g){var v=h[p+g];v<f&&(f=v,m=g)}c[d]=m}return l},t.prototype.argMax=function(e,i){ae(e,"argMax");var r=[i];T.backend_util.assertAxesAreInnerMostDims("argMax",r,e.rank);for(var a=T.backend_util.computeOutAndReduceShapes(e.shape,r),s=a[0],o=a[1],l=T.zeros(s,"int32"),u=T.util.sizeFromShape(o),c=this.readSync(l.dataId),h=this.readSync(e.dataId),d=0;d<c.length;++d){for(var p=d*u,f=h[p],m=0,g=0;g<u;++g){var v=h[p+g];v>f&&(f=v,m=g)}c[d]=m}return l},t.prototype.cumsum=function(e,i,r,a){if(ae(e,"cumsum"),i!==e.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(e.rank-1)+" "+("but got axis="+i));for(var s=T.upcastType(e.dtype,"int32"),o=T.zeros(e.shape,s),l=this.readSync(o.dataId),u=this.readSync(e.dataId),c=e.shape[e.rank-1],h=a?function(g,v){return g+c-v-1}:function(g,v){return g+v},d=0;d<u.length;d+=c)for(var p=0;p<c;p++){var f=h(d,p);if(p===0)l[f]=r?0:u[f];else{var m=h(d,p-1);l[f]=r?u[m]+l[m]:u[f]+l[m]}}return o},t.prototype.equal=function(e,i){return ae([e,i],"equal"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r===a?1:0})},t.prototype.notEqual=function(e,i){return ae([e,i],"notEqual"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r!==a?1:0})},t.prototype.less=function(e,i){return ae([e,i],"less"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r<a?1:0})},t.prototype.lessEqual=function(e,i){return ae([e,i],"lessEqual"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r<=a?1:0})},t.prototype.greater=function(e,i){return ae([e,i],"greater"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r>a?1:0})},t.prototype.greaterEqual=function(e,i){return ae([e,i],"greaterEqual"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r>=a?1:0})},t.prototype.logicalAnd=function(e,i){return ae([e,i],"logicalAnd"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r&&a})},t.prototype.logicalOr=function(e,i){return ae([e,i],"logicalOr"),this.broadcastedBinaryOp(e,i,"bool",function(r,a){return r||a})},t.prototype.select=function(e,i,r){ae([e,i,r],"select");for(var a=this.readSync(e.dataId),s=this.readSync(i.dataId),o=this.readSync(r.dataId),l=T.zeros(i.shape,T.upcastType(i.dtype,r.dtype)),u=this.readSync(l.dataId),c=0,h=e.rank===0||e.rank>1||i.rank===1?1:T.util.sizeFromShape(i.shape.slice(1)),d=0;d<a.length;d++)for(var p=0;p<h;p++)a[d]===1?u[c++]=s[d]:u[c++]=o[d];return l},t.prototype.where=function(e){ae([e],"where");var i=this.readSync(e.dataId);return hB(e.shape,i)},t.prototype.topk=function(e,i,r){ae(e,"topk");var a=this.readSync(e.dataId);return cB(a,e.shape,e.dtype,i,r)},t.prototype.min=function(e,i){ae(e,"min"),T.backend_util.assertAxesAreInnerMostDims("min",i,e.rank);for(var r=T.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=T.zeros(a,e.dtype),l=T.util.sizeFromShape(s),u=this.readSync(o.dataId),c=this.readSync(e.dataId),h=0;h<u.length;++h){for(var d=h*l,p=c[d],f=0;f<l;++f){var m=c[d+f];m<p&&(p=m)}u[h]=p}return o},t.prototype.minimum=function(e,i){return ae([e,i],"minimum"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){return Math.min(r,a)})},t.prototype.mod=function(e,i){return ae([e,i],"mod"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){var s=r%a;return r<0&&a<0||r>=0&&a>=0?s:(s+a)%a})},t.prototype.maximum=function(e,i){return ae([e,i],"maximum"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){return Math.max(r,a)})},t.prototype.all=function(e,i){ae(e,"all"),T.backend_util.assertAxesAreInnerMostDims("all",i,e.rank);for(var r=T.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=T.zeros(a,e.dtype),l=T.util.sizeFromShape(s),u=this.readSync(o.dataId),c=this.readSync(e.dataId),h=0;h<u.length;++h){for(var d=h*l,p=c[d],f=0;f<l;++f){var m=c[d+f];p=p&&m}u[h]=p}return o},t.prototype.any=function(e,i){ae(e,"any"),T.backend_util.assertAxesAreInnerMostDims("any",i,e.rank);for(var r=T.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=T.zeros(a,e.dtype),l=T.util.sizeFromShape(s),u=this.readSync(o.dataId),c=this.readSync(e.dataId),h=0;h<u.length;++h){for(var d=h*l,p=c[d],f=0;f<l;++f){var m=c[d+f];p=p||m}u[h]=p}return o},t.prototype.squaredDifference=function(e,i){return ae([e,i],"squaredDifference"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){var s=r-a;return s*s})},t.prototype.linear=function(e){return e},t.prototype.relu=function(e){ae(e,"relu");for(var i=T.zeros(e.shape,e.dtype),r=this.readSync(i.dataId),a=this.readSync(e.dataId),s=0;s<a.length;++s)r[s]=Math.max(0,a[s]);return i},t.prototype.relu6=function(e){ae(e,"relu");for(var i=T.zeros(e.shape,e.dtype),r=this.readSync(i.dataId),a=this.readSync(e.dataId),s=0;s<a.length;++s)r[s]=Math.min(Math.max(0,a[s]),6);return i},t.prototype.prelu=function(e,i){return ae([e,i],"prelu"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){return r<0?a*r:r})},t.prototype.eluDer=function(e,i){ae([e,i],"eluDer");for(var r=new Float32Array(i.size),a=this.readSync(i.dataId),s=this.readSync(e.dataId),o=0;o<a.length;++o){var l=a[o];l>=1?r[o]=s[o]:r[o]=s[o]*(l+1)}return this.makeOutput(r,i.shape,"float32")},t.prototype.atan2=function(e,i){return ae([e,i],"atan2"),this.broadcastedBinaryOp(e,i,e.dtype,function(r,a){return Math.atan2(r,a)})},t.prototype.fusedConv2d=function(e){var i=e.input,r=e.filter,a=e.convInfo,s=e.bias,o=e.activation,l=e.preluActivationWeights,u=this.conv2d(i,r,a);return s&&(u=T.add(u,s)),o&&(u=yd(this,u,o,l)),u},t.prototype.conv2d=function(e,i,r){ae([e,i],"conv2d");for(var a=r.filterHeight,s=r.filterWidth,o=r.dilationHeight,l=r.dilationWidth,u=r.padInfo.left,c=r.padInfo.top,h=r.dataFormat==="channelsLast",d=T.buffer(r.outShape,e.dtype),p=e.strides[0],f=h?e.strides[1]:e.strides[2],m=h?e.strides[2]:1,g=h?1:e.strides[1],v=d.strides[0],b=h?d.strides[1]:d.strides[2],w=h?d.strides[2]:1,S=h?1:d.strides[1],L=this.readSync(e.dataId),x=this.readSync(i.dataId),C=d.values,R=0;R<r.batchSize;++R)for(var D=R*p,k=R*v,W=0;W<r.outHeight;++W)for(var F=k+W*b,P=W*r.strideHeight-c,H=0;H<a;H++){var _=P+H*o;if(_<0||_>=r.inHeight)continue;for(var K=H*i.strides[0],j=D+_*f,q=0;q<r.outWidth;++q)for(var G=F+q*w,Z=q*r.strideWidth-u,X=0;X<s;X++){var ee=Z+X*l;if(ee<0||ee>=r.inWidth)continue;for(var ne=K+X*i.strides[1],ie=j+ee*m,te=ne,re=0;re<r.inChannels;++re){for(var le=L[ie+re*g],he=0;he<r.outChannels;++he)C[G+he*S]+=le*x[te+he];te+=r.outChannels}}}return d.toTensor()},t.prototype.conv3d=function(e,i,r){for(var a=r.filterDepth,s=r.filterHeight,o=r.filterWidth,l=r.dilationDepth,u=r.dilationHeight,c=r.dilationWidth,h=r.padInfo.front,d=r.padInfo.left,p=r.padInfo.top,f=T.buffer(r.outShape,e.dtype),m=this.readSync(e.dataId),g=this.readSync(i.dataId),v=f.values,b=0;b<r.batchSize;++b)for(var w=b*e.strides[0],S=b*f.strides[0],L=0;L<r.outDepth;++L)for(var x=S+L*f.strides[1],C=L*r.strideDepth-h,R=0;R<a;R++){var D=C+R*l;if(D<0||D>=r.inDepth)continue;for(var k=R*i.strides[0],W=w+D*e.strides[1],F=0;F<r.outHeight;++F)for(var P=x+F*f.strides[2],H=F*r.strideHeight-p,_=0;_<s;_++){var K=H+_*u;if(K<0||K>=r.inHeight)continue;for(var j=k+_*i.strides[1],q=W+K*e.strides[2],G=0;G<r.outWidth;++G)for(var Z=P+G*r.outChannels,X=G*r.strideWidth-d,ee=0;ee<o;ee++){var ne=X+ee*c;if(ne<0||ne>=r.inWidth)continue;for(var ie=j+ee*i.strides[2],te=q+ne*r.inChannels,re=ie,le=0;le<r.inChannels;++le){for(var he=m[te+le],be=0;be<r.outChannels;++be)v[Z+be]+=he*g[re+be];re+=r.outChannels}}}}return f.toTensor()},t.prototype.conv2dDerInput=function(e,i,r){ae([e,i],"conv2dDerInput");for(var a=T.buffer(r.inShape,"float32"),s=a.values,o=this.readSync(e.dataId),l=this.readSync(i.dataId),u=i.strides,c=u[0],h=u[1],d=u[2],p=r.batchSize,f=r.filterHeight,m=r.filterWidth,g=r.inChannels,v=r.inHeight,b=r.inWidth,w=r.outChannels,S=r.outHeight,L=r.outWidth,x=r.strideHeight,C=r.strideWidth,R=r.dataFormat,D=f-1-r.padInfo.top,k=m-1-r.padInfo.left,W=R==="channelsLast",F=a.strides[0],P=W?a.strides[1]:a.strides[2],H=W?a.strides[2]:1,_=W?1:a.strides[1],K=e.strides[0],j=W?e.strides[1]:e.strides[2],q=W?e.strides[2]:1,G=W?1:e.strides[1],Z=0;Z<p;++Z)for(var X=0;X<g;++X)for(var ee=0;ee<v;++ee)for(var ne=ee-D,ie=Math.max(0,Math.ceil(ne/x)),te=Math.min(S,(f+ne)/x),re=0;re<b;++re){for(var le=re-k,he=Math.max(0,Math.ceil(le/C)),be=Math.min(L,(m+le)/C),Oe=0,ke=ie;ke<te;++ke)for(var _e=ke*x-ne,Me=he;Me<be;++Me)for(var ct=Me*C-le,wt=K*Z+j*ke+q*Me,qe=c*(f-1-_e)+h*(m-1-ct)+d*X,We=0;We<w;++We){var me=o[wt+G*We],Ot=l[qe+We];Oe+=me*Ot}var ot=F*Z+P*ee+H*re+_*X;s[ot]=Oe}return a.toTensor()},t.prototype.conv3dDerInput=function(e,i,r){for(var a=T.buffer(r.inShape,"float32"),s=a.values,o=a.strides,l=o[0],u=o[1],c=o[2],h=o[3],d=this.readSync(e.dataId),p=e.strides,f=p[0],m=p[1],g=p[2],v=p[3],b=this.readSync(i.dataId),w=i.strides,S=w[0],L=w[1],x=w[2],C=w[3],R=r.batchSize,D=r.filterDepth,k=r.filterHeight,W=r.filterWidth,F=r.inChannels,P=r.inDepth,H=r.inHeight,_=r.inWidth,K=r.outChannels,j=r.outDepth,q=r.outHeight,G=r.outWidth,Z=r.strideDepth,X=r.strideHeight,ee=r.strideWidth,ne=D-1-r.padInfo.front,ie=k-1-r.padInfo.top,te=W-1-r.padInfo.left,re=0;re<R;++re)for(var le=0;le<F;++le)for(var he=0;he<P;++he)for(var be=he-ne,Oe=Math.max(0,Math.ceil(be/Z)),ke=Math.min(j,(D+be)/Z),_e=0;_e<H;++_e)for(var Me=_e-ie,ct=Math.max(0,Math.ceil(Me/X)),wt=Math.min(q,(k+Me)/X),qe=0;qe<_;++qe){for(var We=qe-te,me=Math.max(0,Math.ceil(We/ee)),Ot=Math.min(G,(W+We)/ee),ot=0,ht=Oe;ht<ke;++ht)for(var Ln=ht*Z-be,Ct=ct;Ct<wt;++Ct)for(var St=Ct*X-Me,Ce=me;Ce<Ot;++Ce)for(var Et=Ce*ee-We,dt=f*re+m*ht+g*Ct+v*Ce,nt=S*(D-1-Ln)+L*(k-1-St)+x*(W-1-Et)+C*le,nn=0;nn<K;++nn){var ds=d[dt+nn],Ft=b[nt+nn];ot+=ds*Ft}s[l*re+u*he+c*_e+h*qe+le]=ot}return a.toTensor()},t.prototype.conv2dDerFilter=function(e,i,r){ae([e,i],"conv2dDerFilter");for(var a=r.strideHeight,s=r.strideWidth,o=r.filterHeight,l=r.filterWidth,u=r.dataFormat==="channelsLast",c=T.buffer(r.filterShape,"float32"),h=r.padInfo.left,d=r.padInfo.top,p=this.bufferSync(e),f=this.bufferSync(i),m=0;m<o;++m)for(var g=Math.max(0,Math.ceil((d-m)/a)),v=Math.min(r.outHeight,(r.inHeight+d-m)/a),b=0;b<l;++b)for(var w=Math.max(0,Math.ceil((h-b)/s)),S=Math.min(r.outWidth,(r.inWidth+h-b)/s),L=0;L<r.inChannels;++L)for(var x=0;x<r.outChannels;++x){for(var C=0,R=0;R<r.batchSize;++R)for(var D=g;D<v;++D)for(var k=m+D*a-d,W=w;W<S;++W){var F=b+W*s-h;u?C+=p.get(R,k,F,L)*f.get(R,D,W,x):C+=p.get(R,L,k,F)*f.get(R,x,D,W)}c.set(C,m,b,L,x)}return c.toTensor()},t.prototype.conv3dDerFilter=function(e,i,r){for(var a=r.strideDepth,s=r.strideHeight,o=r.strideWidth,l=r.filterDepth,u=r.filterHeight,c=r.filterWidth,h=T.buffer(r.filterShape,"float32"),d=h.values,p=h.strides,f=p[0],m=p[1],g=p[2],v=p[3],b=this.readSync(i.dataId),w=i.strides,S=w[0],L=w[1],x=w[2],C=w[3],R=this.readSync(e.dataId),D=e.strides,k=D[0],W=D[1],F=D[2],P=D[3],H=r.padInfo.front,_=r.padInfo.left,K=r.padInfo.top,j=0;j<l;++j)for(var q=Math.max(0,Math.ceil((H-j)/a)),G=Math.min(r.outDepth,(r.inDepth+H-j)/a),Z=j*f,X=0;X<u;++X)for(var ee=Math.max(0,Math.ceil((K-X)/s)),ne=Math.min(r.outHeight,(r.inHeight+K-X)/s),ie=X*m+Z,te=0;te<c;++te)for(var re=Math.max(0,Math.ceil((_-te)/o)),le=Math.min(r.outWidth,(r.inWidth+_-te)/o),he=te*g+ie,be=0;be<r.inChannels;++be)for(var Oe=be*v+he,ke=0;ke<r.outChannels;++ke){for(var _e=0,Me=0;Me<r.batchSize;++Me)for(var ct=Me*k,wt=Me*S,qe=q;qe<G;++qe)for(var We=j+qe*a-H,me=We*W+ct,Ot=qe*L+wt,ot=ee;ot<ne;++ot)for(var ht=X+ot*s-K,Ln=ht*F+me,Ct=ot*x+Ot,St=re;St<le;++St){var Ce=te+St*o-_,Et=Ce*P+Ln,dt=St*C+Ct;_e+=R[Et+be]*b[dt+ke]}d[Oe+ke]=_e}return h.toTensor()},t.prototype.fusedDepthwiseConv2D=function(e){var i=e.input,r=e.filter,a=e.convInfo,s=e.bias,o=e.activation,l=e.preluActivationWeights,u=this.depthwiseConv2D(i,r,a);return s&&(u=T.add(u,s)),o&&(u=yd(this,u,o,l)),u},t.prototype.depthwiseConv2D=function(e,i,r){ae([e,i],"depthwiseConv2D");for(var a=r.filterHeight,s=r.filterWidth,o=r.dilationHeight,l=r.dilationWidth,u=r.padInfo.left,c=r.padInfo.top,h=r.outChannels/r.inChannels,d=T.buffer(r.outShape,e.dtype),p=this.readSync(e.dataId),f=this.readSync(i.dataId),m=d.values,g=0;g<r.batchSize;++g)for(var v=g*e.strides[0],b=g*d.strides[0],w=0;w<r.outHeight;++w)for(var S=b+w*d.strides[1],L=w*r.strideHeight-u,x=0;x<a;++x){var C=L+x*o;if(C<0||C>=r.inHeight)continue;for(var R=x*i.strides[0],D=v+C*e.strides[1],k=0;k<r.outWidth;++k)for(var W=S+k*d.strides[2],F=k*r.strideWidth-c,P=0;P<s;++P){var H=F+P*l;if(H<0||H>=r.inWidth)continue;for(var _=R+P*i.strides[1],K=D+H*r.inChannels,j=W,q=_,G=0;G<r.inChannels;++G){for(var Z=p[K+G],X=0;X<h;++X)m[j+X]+=Z*f[q+X];j+=h,q+=h}}}return d.toTensor()},t.prototype.depthwiseConv2DDerInput=function(e,i,r){ae([e,i],"depthwiseConv2DDerInput");for(var a=T.buffer(r.inShape,"float32"),s=a.values,o=a.strides,l=o[0],u=o[1],c=o[2],h=this.readSync(e.dataId),d=e.strides,p=d[0],f=d[1],m=d[2],g=this.readSync(i.dataId),v=i.strides,b=v[0],w=v[1],S=v[2],L=r.batchSize,x=r.filterHeight,C=r.filterWidth,R=r.inChannels,D=r.inHeight,k=r.inWidth,W=r.outChannels,F=r.outHeight,P=r.outWidth,H=r.strideHeight,_=r.strideWidth,K=x-1-r.padInfo.top,j=C-1-r.padInfo.left,q=W/R,G=0;G<L;++G)for(var Z=0;Z<R;++Z)for(var X=0;X<D;++X)for(var ee=X-K,ne=Math.max(0,Math.ceil(ee/H)),ie=Math.min(F,(x+ee)/H),te=0;te<k;++te){for(var re=te-j,le=Math.max(0,Math.ceil(re/_)),he=Math.min(P,(C+re)/_),be=0,Oe=ne;Oe<ie;++Oe)for(var ke=Oe*H-ee,_e=le;_e<he;++_e)for(var Me=_e*_-re,ct=p*G+f*Oe+m*_e,wt=b*(x-1-ke)+w*(C-1-Me)+S*Z,qe=0;qe<q;++qe){var We=Z*q+qe,me=h[ct+We],Ot=g[wt+qe];be+=me*Ot}s[l*G+u*X+c*te+Z]=be}return a.toTensor()},t.prototype.depthwiseConv2DDerFilter=function(e,i,r){ae([e,i],"depthwiseConv2DDerFilter");for(var a=r.strideHeight,s=r.strideWidth,o=r.filterHeight,l=r.filterWidth,u=T.buffer(r.filterShape,"float32"),c=r.padInfo.left,h=r.padInfo.top,d=r.outChannels/r.inChannels,p=this.bufferSync(e),f=this.bufferSync(i),m=0;m<o;++m)for(var g=Math.max(0,Math.ceil((h-m)/a)),v=Math.min(r.outHeight,(r.inHeight+h-m)/a),b=0;b<l;++b)for(var w=Math.max(0,Math.ceil((c-b)/s)),S=Math.min(r.outWidth,(r.inWidth+c-b)/s),L=0;L<r.outChannels;++L){for(var x=Math.trunc(L/d),C=L%d,R=0,D=0;D<r.batchSize;++D)for(var k=g;k<v;++k)for(var W=m+k*a-h,F=w;F<S;++F){var P=b+F*s-c;R+=p.get(D,W,P,x)*f.get(D,k,F,L)}u.set(R,m,b,x,C)}return u.toTensor()},t.prototype.tile=function(e,i){return ae(e,"tile"),uB(this.bufferSync(e),i)},t.prototype.gather=function(e,i,r){ae([e,i],"gather");var a=e.shape.slice(),s=this.readSync(i.dataId);a[r]=s.length;for(var o=T.buffer(a,e.dtype),l=this.bufferSync(e),u=0;u<o.size;++u){var c=o.indexToLoc(u),h=c.slice();h[r]=s[c[r]];var d=l.locToIndex(h);o.values[u]=l.values[d]}return o.toTensor()},t.prototype.batchToSpaceND=function(e,i,r){ae([e],"batchToSpaceND");var a=i.reduce(function(h,d){return h*d}),s=T.backend_util.getReshaped(e.shape,i,a),o=T.backend_util.getPermuted(s.length,i.length),l=T.backend_util.getReshapedPermuted(e.shape,i,a),u=T.backend_util.getSliceBeginCoords(r,i.length),c=T.backend_util.getSliceSize(l,r,i.length);return T.transpose(e.reshape(s),o).reshape(l).slice(u,c)},t.prototype.pool3d=function(e,i,r){ae(e,"pool3d");for(var a=i.strideDepth,s=i.strideHeight,o=i.strideWidth,l=i.dilationDepth,u=i.dilationHeight,c=i.dilationWidth,h=i.effectiveFilterDepth,d=i.effectiveFilterHeight,p=i.effectiveFilterWidth,f=i.padInfo.front,m=i.padInfo.top,g=i.padInfo.left,v=r==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,b=this.readSync(e.dataId),w=T.buffer(i.outShape,e.dtype),S=w.values,L=i.outShape[1]*i.outShape[2]*i.outShape[3]*i.outShape[4],x=i.outShape[2]*i.outShape[3]*i.outShape[4],C=i.outShape[3]*i.outShape[4],R=i.outShape[4],D=0;D<i.batchSize;++D)for(var k=D*L,W=D*e.strides[0],F=0;F<i.inChannels;++F)for(var P=0;P<i.outDepth;++P){for(var H=P*a-f,_=H;_<0;)_+=l;for(var K=Math.min(i.inDepth,h+H),j=k+P*x,q=0;q<i.outHeight;++q){for(var G=q*s-m,Z=G;Z<0;)Z+=u;for(var X=Math.min(i.inHeight,d+G),ee=j+q*C,ne=0;ne<i.outWidth;++ne){for(var ie=ne*o-g,te=ie;te<0;)te+=c;for(var re=Math.min(i.inWidth,p+ie),le=ee+ne*R,he=v,be=0,Oe=0,ke=_;ke<K;ke+=l){for(var _e=W+ke*e.strides[1],Me=Z;Me<X;Me+=u){for(var ct=_e+Me*e.strides[2],wt=te;wt<re;wt+=c){var qe=ct+wt*e.strides[3],We=b[qe+F];if(r==="max"&&We>he?he=We:r==="avg"&&(be+=We,Oe++),isNaN(he))break}if(isNaN(he))break}if(isNaN(he))break}var me=le+F;S[me]=r==="avg"?be/Oe:he}}}return w.toTensor()},t.prototype.avgPool3d=function(e,i){return ae(e,"avgPool3d"),this.pool3d(e,i,"avg").toFloat()},t.prototype.avgPool3dBackprop=function(e,i,r){ae([e,i],"avgPool3dBackprop");for(var a=r.strideDepth,s=r.strideHeight,o=r.strideWidth,l=r.filterDepth,u=r.filterHeight,c=r.filterWidth,h=r.dilationDepth,d=r.dilationHeight,p=r.dilationWidth,f=r.effectiveFilterDepth,m=r.effectiveFilterHeight,g=r.effectiveFilterWidth,v=f-1-r.padInfo.front,b=g-1-r.padInfo.left,w=m-1-r.padInfo.top,S=T.buffer(i.shape,"float32"),L=1/(l*u*c),x=this.bufferSync(e),C=0;C<r.batchSize;++C)for(var R=0;R<r.inChannels;++R)for(var D=0;D<r.inDepth;++D)for(var k=0;k<r.inHeight;++k)for(var W=0;W<r.inWidth;++W){for(var F=D-v,P=k-w,H=W-b,_=0,K=0;K<f;K+=h){var j=(F+K)/a;if(j<0||j>=r.outDepth||Math.floor(j)!==j)continue;for(var q=0;q<m;q+=d){var G=(P+q)/s;if(G<0||G>=r.outHeight||Math.floor(G)!==G)continue;for(var Z=0;Z<g;Z+=p){var X=(H+Z)/o;if(X<0||X>=r.outWidth||Math.floor(X)!==X)continue;var ee=x.get(C,j,G,X,R);_+=ee}}}S.set(_*L,C,D,k,W,R)}return S.toTensor()},t.prototype.maxPool3d=function(e,i){return ae(e,"maxPool3d"),this.pool3d(e,i,"max").toFloat()},t.prototype.maxPool3dPositions=function(e,i){for(var r=T.buffer(i.outShape,"int32"),a=i.strideDepth,s=i.strideHeight,o=i.strideWidth,l=i.dilationDepth,u=i.dilationHeight,c=i.dilationWidth,h=i.effectiveFilterDepth,d=i.effectiveFilterHeight,p=i.effectiveFilterWidth,f=i.padInfo.front,m=i.padInfo.top,g=i.padInfo.left,v=this.bufferSync(e),b=0;b<i.batchSize;++b)for(var w=0;w<i.inChannels;++w)for(var S=0;S<i.outDepth;++S){for(var L=S*a-f,x=L;x<0;)x+=l;for(var C=Math.min(i.inDepth,h+L),R=0;R<i.outHeight;++R){for(var D=R*s-m,k=D;k<0;)k+=u;for(var W=Math.min(i.inHeight,d+D),F=0;F<i.outWidth;++F){for(var P=F*o-g,H=P;H<0;)H+=c;for(var _=Math.min(i.inWidth,p+P),K=Number.NEGATIVE_INFINITY,j=-1,q=x;q<C;q+=l)for(var G=q-L,Z=k;Z<W;Z+=u)for(var X=Z-D,ee=H;ee<_;ee+=c){var ne=ee-P,ie=v.get(b,q,Z,ee,w);ie>=K&&(K=ie,j=G*d*p+X*d+ne)}r.set(j,b,S,R,F,w)}}}return r.toTensor()},t.prototype.maxPool3dBackprop=function(e,i,r,a){ae([i,r],"maxPool3dBackprop");for(var s=this.maxPool3dPositions(i,a),o=a.strideDepth,l=a.strideHeight,u=a.strideWidth,c=a.dilationDepth,h=a.dilationHeight,d=a.dilationWidth,p=a.effectiveFilterDepth,f=a.effectiveFilterHeight,m=a.effectiveFilterWidth,g=p-1-a.padInfo.front,v=m-1-a.padInfo.left,b=f-1-a.padInfo.top,w=T.buffer(i.shape,"float32"),S=this.bufferSync(s),L=this.bufferSync(e),x=0;x<a.batchSize;++x)for(var C=0;C<a.inChannels;++C)for(var R=0;R<a.inDepth;++R)for(var D=0;D<a.inHeight;++D)for(var k=0;k<a.inWidth;++k){for(var W=R-g,F=D-b,P=k-v,H=0,_=0;_<p;_+=c){var K=(W+_)/o;if(K<0||K>=a.outDepth||Math.floor(K)!==K)continue;for(var j=0;j<f;j+=h){var q=(F+j)/l;if(q<0||q>=a.outHeight||Math.floor(q)!==q)continue;for(var G=0;G<m;G+=d){var Z=(P+G)/u;if(Z<0||Z>=a.outWidth||Math.floor(Z)!==Z)continue;var X=p*f*m-1-S.get(x,K,q,Z,C),ee=_*f*m+j*m+G,ne=X===ee?1:0;if(ne===0)continue;var ie=L.get(x,K,q,Z,C);H+=ie*ne}}}w.set(H,x,R,D,k,C)}return w.toTensor()},t.prototype.resizeBilinear=function(e,i,r,a){ae(e,"resizeBilinear");for(var s=e.shape,o=s[0],l=s[1],u=s[2],c=s[3],h=this.readSync(e.dataId),d=new Float32Array(T.util.sizeFromShape([o,i,r,c])),p=[a&&i>1?l-1:l,a&&r>1?u-1:u],f=[a&&i>1?i-1:i,a&&r>1?r-1:r],m=0,g=p[0]/f[0],v=p[1]/f[1],b=0;b<o;b++)for(var w=0;w<i;w++)for(var S=g*w,L=Math.floor(S),x=S-L,C=Math.min(l-1,Math.ceil(S)),R=b*e.strides[0]+L*e.strides[1],D=b*e.strides[0]+C*e.strides[1],k=0;k<r;k++)for(var W=v*k,F=Math.floor(W),P=W-F,H=Math.min(u-1,Math.ceil(W)),_=R+F*e.strides[2],K=D+F*e.strides[2],j=R+H*e.strides[2],q=D+H*e.strides[2],G=0;G<c;G++){var Z=h[_+G],X=h[K+G],ee=h[j+G],ne=h[q+G],ie=Z+(ee-Z)*P,te=X+(ne-X)*P,re=ie+(te-ie)*x;d[m++]=re}return T.tensor(d,[o,i,r,c])},t.prototype.resizeBilinearBackprop=function(e,i,r){ae([e,i],"resizeBilinearBackprop");for(var a=i.shape,s=a[0],o=a[1],l=a[2],u=a[3],c=e.shape,h=c[1],d=c[2],p=new Float32Array(s*o*l*u),f=[r&&h>1?o-1:o,r&&d>1?l-1:l],m=[r&&h>1?h-1:h,r&&d>1?d-1:d],g=f[0]/m[0],v=f[1]/m[1],b=this.readSync(e.dataId),w=0,S=0;S<s;S++)for(var L=S*i.strides[0],x=0;x<h;x++)for(var C=x*g,R=Math.floor(C),D=Math.min(Math.ceil(C),o-1),k=L+R*i.strides[1],W=L+D*i.strides[1],F=C-R,P=1-F,H=0;H<d;H++)for(var _=H*v,K=Math.floor(_),j=Math.min(Math.ceil(_),l-1),q=_-K,G=1-q,Z=k+K*i.strides[2],X=k+j*i.strides[2],ee=W+K*i.strides[2],ne=W+j*i.strides[2],ie=P*G,te=P*q,re=F*G,le=F*q,he=0;he<u;he++){var be=b[w++];p[Z+he]+=be*ie,p[X+he]+=be*te,p[ee+he]+=be*re,p[ne+he]+=be*le}return T.tensor4d(p,[s,l,o,u],i.dtype)},t.prototype.resizeNearestNeighbor=function(e,i,r,a){ae(e,"resizeNearestNeighbor");for(var s=e.shape,o=s[0],l=s[1],u=s[2],c=s[3],h=this.readSync(e.dataId),d=new Float32Array(o*i*r*c),p=[a&&i>1?l-1:l,a&&r>1?u-1:u],f=[a&&i>1?i-1:i,a&&r>1?r-1:r],m=p[0]/f[0],g=p[1]/f[1],v=0,b=0;b<o;b++)for(var w=b*e.strides[0],S=0;S<i;S++)for(var L=m*S,x=Math.min(l-1,a?Math.round(L):Math.floor(L)),C=w+x*e.strides[1],R=0;R<r;R++)for(var D=g*R,k=Math.min(u-1,a?Math.round(D):Math.floor(D)),W=C+k*e.strides[2],F=0;F<c;F++){var P=h[W+F];d[v++]=P}return T.tensor(d,[o,i,r,c],e.dtype)},t.prototype.resizeNearestNeighborBackprop=function(e,i,r){ae([e,i],"resizeNearestNeighborBackprop");for(var a=i.shape,s=a[0],o=a[1],l=a[2],u=a[3],c=e.shape,h=c[1],d=c[2],p=new Float32Array(s*o*l*u),f=this.readSync(e.dataId),m=[r&&h>1?o-1:o,r&&d>1?l-1:l],g=[r&&h>1?h-1:h,r&&d>1?d-1:d],v=m[0]/g[0],b=m[1]/g[1],w=1/v,S=1/b,L=Math.ceil(w)*2+2,x=Math.ceil(S)*2+2,C=0;C<s;C++)for(var R=C*i.strides[0],D=0;D<o;D++)for(var k=R+D*i.strides[1],W=Math.floor(D*w),F=Math.floor(W-L/2),P=0;P<l;P++)for(var H=k+P*i.strides[2],_=Math.floor(P*S),K=Math.floor(_-x/2),j=0;j<u;j++){for(var q=0,G=0;G<L;G++){var Z=G+F;if(Z<0||Z>=h)continue;var X=R+Z*e.strides[1],ee=Z*v,ne=Math.min(o-1,r?Math.round(ee):Math.floor(ee));if(D!==ne)continue;for(var ie=0;ie<x;ie++){var te=ie+K;if(te<0||te>=d)continue;var re=X+te*e.strides[2],le=te*b,he=Math.min(l-1,r?Math.round(le):Math.floor(le));P===he&&(q+=f[re+j])}}p[H+j]=q}return T.tensor4d(p,i.shape,i.dtype)},t.prototype.localResponseNormalization4D=function(e,i,r,a,s){ae(e,"localResponseNormalization4D");var o=e.shape[3],l=o-1,u=this.readSync(e.dataId),c=e.size,h=new Float32Array(c);function d(g){for(var v=g%o,b=g-v+Math.max(0,v-i),w=g-v+Math.min(v+i,l),S=0;b<=w;b++){var L=u[b];S+=L*L}return S}for(var p=0;p<c;p++){var f=d(p),m=u[p]*Math.pow(r+a*f,-s);h[p]=m}return T.tensor4d(h,e.shape)},t.prototype.LRNGrad=function(e,i,r,a,s,o,l){ae(e,"LRNGrad");for(var u=e.shape[3],c=this.readSync(e.dataId),h=this.readSync(i.dataId),d=this.readSync(r.dataId),p=new Float32Array(e.size),f=e.size,m=0;m<f;m++){for(var g=m%u,v=m-g+Math.max(0,g-a),b=m-g+Math.min(u,g+a+1),w=0,S=v;S<b;S++)w+=Math.pow(h[S],2);w=o*w+s;for(var S=v;S<b;S++){var L=-2*o*l*h[S]*d[m]/w;m===S&&(L+=Math.pow(w,-l)),L*=c[m],p[S]+=L}}return T.tensor4d(p,e.shape)},t.prototype.multinomial=function(e,i,r,a){ae(e,"multinomial");for(var s=i?e:T.softmax(e),o=s.shape[0],l=s.shape[1],u=T.zeros([o,r],"int32"),c=this.readSync(u.dataId),h=this.readSync(s.dataId),d=0;d<o;++d){var p=d*l,f=new Float32Array(l-1);f[0]=h[p];for(var m=1;m<f.length;++m)f[m]=f[m-1]+h[p+m];for(var g=aB.alea(a.toString()),v=d*r,b=0;b<r;++b){var w=g();c[v+b]=f.length;for(var S=0;S<f.length;S++)if(w<f[S]){c[v+b]=S;break}}}return u},t.prototype.oneHot=function(e,i,r,a){ae(e,"oneHot");var s=new Float32Array(e.size*i);s.fill(a);for(var o=this.readSync(e.dataId),l=0;l<e.size;++l)o[l]>=0&&o[l]<i&&(s[l*i+o[l]]=r);return T.tensor2d(s,[e.size,i],"int32")},t.prototype.nonMaxSuppression=function(e,i,r,a,s){ae(e,"nonMaxSuppression");var o=this.readSync(e.dataId),l=this.readSync(i.dataId);return oB(o,l,r,a,s)},t.prototype.depthToSpace=function(e,i,r){T.util.assert(r==="NHWC",function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+r}),T.util.assert(i>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+i});for(var a=e.shape[0],s=e.shape[1],o=e.shape[2],l=e.shape[3],u=s*i,c=o*i,h=l/(i*i),d=this.readSync(e.dataId),p=new Float32Array(a*u*c*h),f=0,m=0;m<a;++m)for(var g=0;g<u;++g)for(var v=Math.floor(g/i),b=g%i,w=0;w<c;++w)for(var S=Math.floor(w/i),L=w%i,x=(b*i+L)*h,C=0;C<h;++C){var R=C+x,D=R+l*(S+o*(v+s*m));p[f++]=d[D]}return T.tensor4d(p,[a,u,c,h])},t.prototype.broadcastedBinaryOp=function(e,i,r,a){var s=T.backend_util.assertAndGetBroadcastShape(e.shape,i.shape),o=T.buffer(s,r),l=this.readSync(e.dataId),u=this.readSync(i.dataId),c=T.backend_util.getBroadcastDims(e.shape,s),h=T.backend_util.getBroadcastDims(i.shape,s),d=o.values;if(c.length+h.length===0)for(var p=0;p<d.length;++p)d[p]=a(l[p%l.length],u[p%u.length]);else for(var f=this.bufferSync(e),m=this.bufferSync(i),g=function(v){var b=o.indexToLoc(v),w=b.slice(-e.rank);c.forEach(function(C){return w[C]=0});var S=f.locToIndex(w),L=b.slice(-i.rank);h.forEach(function(C){return L[C]=0});var x=m.locToIndex(L);d[v]=a(l[S],u[x])},p=0;p<d.length;++p)g(p);return o.toTensor()},t.prototype.split=function(e,i,r){return lB(e,i,r)},t.prototype.dispose=function(){},t.prototype.floatPrecision=function(){return 32},t.prototype.epsilon=function(){return n.prototype.epsilon.call(this)},t.prototype.cropAndResize=function(e,i,r,a,s,o){for(var l=e.shape,u=l[0],c=l[1],h=l[2],d=l[3],p=i.shape[0],f=a[0],m=a[1],g=T.buffer([p,f,m,d],"float32"),v=this.readSync(i.dataId),b=this.readSync(r.dataId),w=this.readSync(e.dataId),S=e.strides,L=g.strides,x=0;x<p;x++){var C=x*4,R=v[C],D=v[C+1],k=v[C+2],W=v[C+3],F=b[x];if(F>=u)continue;for(var P=f>1?(k-R)*(c-1)/(f-1):0,H=m>1?(W-D)*(h-1)/(m-1):0,_=0;_<f;_++){var K=f>1?R*(c-1)+_*P:.5*(R+k)*(c-1);if(K<0||K>c-1){for(var j=0;j<m;j++)for(var q=0;q<d;q++){var G=q+j*L[2]+_*L[1]+x*L[0];g.values[G]=o}continue}if(s==="bilinear")for(var Z=Math.floor(K),X=Math.ceil(K),ee=K-Z,j=0;j<m;j++){var ne=m>1?D*(h-1)+j*H:.5*(D+W)*(h-1);if(ne<0||ne>h-1){for(var q=0;q<d;q++){var G=q+j*L[2]+_*L[1]+x*L[0];g.values[G]=o}continue}for(var ie=Math.floor(ne),te=Math.ceil(ne),re=ne-ie,q=0;q<d;q++){var G=q+ie*S[2]+Z*S[1]+F*S[0],le=w[G];G=q+te*S[2]+Z*S[1]+F*S[0];var he=w[G];G=q+ie*S[2]+X*S[1]+F*S[0];var be=w[G];G=q+te*S[2]+X*S[1]+F*S[0];var Oe=w[G],ke=le+(he-le)*re,_e=be+(Oe-be)*re;G=q+j*L[2]+_*L[1]+x*L[0],g.values[G]=ke+(_e-ke)*ee}}else for(var j=0;j<m;++j){var ne=m>1?D*(h-1)+j*H:.5*(D+W)*(h-1);if(ne<0||ne>h-1){for(var q=0;q<d;q++){var G=q+j*L[2]+_*L[1]+x*L[0];g.values[G]=o}continue}for(var Me=Math.round(ne),ct=Math.round(K),q=0;q<d;q++){var wt=q+Me*S[2]+ct*S[1]+F*S[0],qe=q+j*L[2]+_*L[1]+x*L[0];g.values[qe]=w[wt]}}}}return g.toTensor()},t.prototype.sparseToDense=function(e,i,r,a){var s=T.backend_util.calculateShapes(i,e,r),o=s.sliceRank,l=s.numUpdates,u=s.sliceSize,c=s.strides,h=s.outputSize,d=!1;return this.scatter(e,i,r,h,u,l,o,c,a,d)},t.prototype.gatherND=function(e,i){var r=i.shape,a=r[r.length-1],s=T.backend_util.prepareAndValidate(e,i),o=s[0],l=s[1],u=s[2],c=s[3];if(l===0)return T.tensor([],o,e.dtype);for(var h=new T.TensorBuffer([l,u],e.dtype),d=this.readSync(i.dataId),p=this.readSync(e.dataId),f=0;f<l;f++){for(var m=[],g=0,v=0;v<a;v++){var b=d[f*a+v];g+=b*c[v],m.push(b)}if(g<0||g>=e.size/u)throw new Error("Invalid indices: "+m+" does not index into "+e.shape);for(var w=0;w<u;w++)h.values[f*u+w]=p[g*u+w]}return h.toTensor().reshape(o)},t.prototype.scatterND=function(e,i,r){var a=T.backend_util.calculateShapes(i,e,r),s=a.sliceRank,o=a.numUpdates,l=a.sliceSize,u=a.strides,c=a.outputSize,h=T.scalar(0),d=!0;return this.scatter(e,i,r,c,l,o,s,u,h,d)},t.prototype.fill=function(e,i,r){r=r||T.util.inferDtype(i);var a=T.util.getArrayFromDType(r,T.util.sizeFromShape(e));return a.fill(i),T.engine().makeTensor(a,e,r,this)},t.prototype.onesLike=function(e){if(e.dtype==="string")throw new Error("onesLike is not supported for string tensors");return this.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){var i=T.util.getArrayFromDType(e.dtype,T.util.sizeFromShape(e.shape));return this.makeOutput(i,e.shape,e.dtype)},t.prototype.linspace=function(e,i,r){return T.backend_util.linspaceImpl(e,i,r)},t.prototype.scatter=function(e,i,r,a,s,o,l,u,c,h){var d=[a/s,s],p=this.readSync(e.dataId),f=this.readSync(i.dataId);if(a===0)return T.tensor([],r,i.dtype);var m=new T.TensorBuffer(d,i.dtype);m.values.fill(this.readSync(c.dataId)[0]);for(var g=0;g<o;g++){for(var v=[],b=0,w=0;w<l;w++){var S=p[g*l+w];v.push(S),b+=S*u[w]}if(b<0||b>=a/s)throw new Error("Invalid indices: "+v+" does not index into "+r);for(var L=0;L<s;L++)h?m.values[b*s+L]+=f[g*s+L]:m.values[b*s+L]=i.rank===0?f[0]:f[g*s+L]}return m.toTensor().reshape(r)},t}(T.KernelBackend);function jw(n){for(var t=new Float32Array(n.length),e=0;e<n.length;++e)t[e]=Math.abs(n[e]);return t}var dB=function(n){var t=n.inputs.x,e=n.backend,i=new Float32Array(T.util.sizeFromShape(t.shape));if(t.dtype!=="complex64"){var r=e.data.get(t.dataId).values;i=jw(r)}else for(var a=e.data.get(t.dataId),s=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,l=e.data.get(s.dataId).values,u=e.data.get(o.dataId).values,c=0;c<l.length;c++){var h=l[c],d=u[c];i[c]=Math.hypot(h,d)}return e.makeOutput(i,t.shape,"float32")},pB={kernelName:T.Abs,backendName:"cpu",kernelFunc:dB};function ir(n){return function(t,e,i,r,a){var s=T.backend_util.assertAndGetBroadcastShape(t,e),o=s.length,l=T.util.computeStrides(s),u=T.util.sizeFromShape(s),c=T.util.getTypedArrayFromDType(a,u),h=t.length,d=e.length,p=T.util.computeStrides(t),f=T.util.computeStrides(e),m=T.backend_util.getBroadcastDims(t,s),g=T.backend_util.getBroadcastDims(e,s);if(m.length+g.length===0)for(var v=0;v<c.length;++v)c[v]=n(i[v%i.length],r[v%r.length]);else for(var b=function(w){var S=T.util.indexToLoc(w,o,l),L=S.slice(-h);m.forEach(function(D){return L[D]=0});var x=T.util.locToIndex(L,h,p),C=S.slice(-d);g.forEach(function(D){return C[D]=0});var R=T.util.locToIndex(C,d,f);c[w]=n(i[x],r[R])},v=0;v<c.length;++v)b(v);return[c,s]}}function bn(n){var t=n.inputs,e=n.backend,i=t.real,r=t.imag,a=e.data.get(i.dataId).values,s=e.data.get(r.dataId).values,o=e.makeTensorInfo(i.shape,"complex64"),l=e.data.get(o.dataId);return l.complexTensorInfos={real:e.makeTensorInfo(i.shape,"float32",a),imag:e.makeTensorInfo(r.shape,"float32",s)},o}var fB={kernelName:T.Complex,backendName:"cpu",kernelFunc:bn};function Yr(n){var t=n.inputs,e=n.backend,i=t.x;return e.incRef(i.dataId),{dataId:i.dataId,shape:i.shape,dtype:i.dtype}}var mB={kernelName:T.Identity,backendName:"cpu",kernelFunc:Yr};function $a(n){var t=n.inputs,e=n.backend,i=t.input,r=e.data.get(i.dataId).complexTensorInfos.real,a=e.data.get(r.dataId).values;return e.makeTensorInfo(r.shape,r.dtype,a)}var gB={kernelName:T.Real,backendName:"cpu",kernelFunc:$a};function Xa(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.dtype;if(a==="complex64"){if(r.dtype==="complex64")return Yr({inputs:{x:r},backend:e});var s=T.zeros(r.shape),o=Xa({inputs:{x:r},backend:e,attrs:{dtype:"float32"}}),l=bn({inputs:{real:o,imag:s},backend:e});return s.dispose(),e.disposeIntermediateTensorInfo(o),l}if(r.dtype==="complex64"){var u=$a({inputs:{input:r},backend:e}),l=Xa({inputs:{x:u},backend:e,attrs:{dtype:a}});return e.disposeIntermediateTensorInfo(u),l}if(!T.util.hasEncodingLoss(r.dtype,a)){var l=Yr({inputs:{x:r},backend:e});return{dataId:l.dataId,shape:l.shape,dtype:a}}if(a==="int32"){var c=e.data.get(r.dataId).values,h=Int32Array.from(c);return e.makeTensorInfo(r.shape,"int32",h)}if(a==="bool"){var d=e.data.get(r.dataId).values,p=T.util.toTypedArray([0],r.dtype),f=ir(function(v,b){return v!==b?1:0})(r.shape,[],d,p,"bool"),m=f[0],g=f[1];return e.makeTensorInfo(g,"bool",m)}throw new Error("Error in Cast: failed to cast "+r.dtype+" to "+a)}var vB={kernelName:T.Cast,backendName:"cpu",kernelFunc:Xa};function Kr(n,t,e,i){return e==null?function(r){var a=r.inputs,s=r.backend,o=a,l=o.a,u=o.b,c=s;ae([l,u],n);var h=c.data.get(l.dataId).values,d=c.data.get(u.dataId).values,p=i||l.dtype,f=t(l.shape,u.shape,h,d,p),m=f[0],g=f[1];return c.makeTensorInfo(g,p,m)}:function(r){var a=r.inputs,s=r.backend,o=a,l=o.a,u=o.b,c=s;if(l.dtype==="complex64"||u.dtype==="complex64"){var h=Xa({inputs:{x:l},backend:c,attrs:{dtype:"complex64"}}),d=c.data.get(h.dataId),p=d.complexTensorInfos.real,f=d.complexTensorInfos.imag,m=c.data.get(p.dataId).values,g=c.data.get(f.dataId).values,v=Xa({inputs:{x:u},backend:c,attrs:{dtype:"complex64"}}),b=c.data.get(v.dataId),w=b.complexTensorInfos.real,S=b.complexTensorInfos.imag,L=c.data.get(w.dataId).values,x=c.data.get(S.dataId).values,C=e(l.shape,u.shape,m,g,L,x),R=C[0],D=C[1],k=C[2],W=c.makeTensorInfo(k,"float32",R),F=c.makeTensorInfo(k,"float32",D),P=bn({inputs:{real:W,imag:F},backend:c});return c.disposeIntermediateTensorInfo(h),c.disposeIntermediateTensorInfo(v),c.disposeIntermediateTensorInfo(W),c.disposeIntermediateTensorInfo(F),P}else{var H=c.data.get(l.dataId).values,_=c.data.get(u.dataId).values,K=i||l.dtype,j=t(l.shape,u.shape,H,_,K),q=j[0],k=j[1];return c.makeTensorInfo(k,K,q)}}}function bd(n){return function(t,e,i,r,a,s){var o=T.backend_util.assertAndGetBroadcastShape(t,e),l=T.util.sizeFromShape(o),u=o.length,c=T.util.computeStrides(o),h=T.util.getTypedArrayFromDType("float32",l),d=T.util.getTypedArrayFromDType("float32",l),p=T.backend_util.getBroadcastDims(t,o),f=T.backend_util.getBroadcastDims(e,o),m=T.backend_util.mergeRealAndImagArrays(i,r),g=T.backend_util.mergeRealAndImagArrays(a,s),v=t.length,b=T.util.computeStrides(t),w=e.length,S=T.util.computeStrides(e);if(p.length+f.length===0)for(var L=0;L<h.length;L++){var x=L%m.length,C=L%g.length,R=n(m[x*2],m[x*2+1],g[C*2],g[C*2+1]);h[L]=R.real,d[L]=R.imag}else for(var D=function(k){var W=T.util.indexToLoc(k,u,c),F=W.slice(-v);p.forEach(function(j){return F[j]=0});var P=T.util.locToIndex(F,v,b),H=W.slice(-w);f.forEach(function(j){return H[j]=0});var _=T.util.locToIndex(H,w,S),K=n(m[P*2],m[P*2+1],g[_*2],g[_*2+1]);h[k]=K.real,d[k]=K.imag},L=0;L<h.length;L++)D(L);return[h,d,o]}}var $w=ir(function(n,t){return n+t}),yB=bd(function(n,t,e,i){return{real:n+e,imag:t+i}}),Xw=Kr(T.Add,$w,yB),bB={kernelName:T.Add,backendName:"cpu",kernelFunc:Xw};function jr(n){return function(t,e,i){for(var r=T.util.getTypedArrayFromDType(e,t.length),a=0;a<t.length;++a)r[a]=n(t[a],i);return r}}function je(n,t,e){return function(i){var r=i.inputs,a=i.attrs,s=i.backend,o=r.x;if(ae(o,n),o.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");for(var l=s,u=l.data.get(o.dataId).values,c=T.util.sizeFromShape(o.shape),h=e||o.dtype,d=T.util.getArrayFromDType(h,c),p=0;p<c;++p)d[p]=t(u[p],a);return l.makeTensorInfo(o.shape,h,d)}}function $r(n,t,e){return function(i){var r=i.inputs,a=i.attrs,s=i.backend,o=r.x;if(ae(o,n),o.dtype==="string"||e==="string")throw new Error("unaryKernelFunc does not support string input/output");var l=s,u=l.data.get(o.dataId).values,c=e||o.dtype,h=t(u,c,a);return l.makeTensorInfo(o.shape,c,h)}}var Jw=jr(function(n){return Math.ceil(n)}),wB=$r(T.Ceil,Jw),SB={kernelName:T.Ceil,backendName:"cpu",kernelFunc:wB};var Zw=jr(function(n){return Math.exp(n)}),LB=$r(T.Exp,Zw),IB={kernelName:T.Exp,backendName:"cpu",kernelFunc:LB};var Qw=jr(function(n){return Math.expm1(n)}),AB=$r(T.Expm1,Qw),TB={kernelName:T.Expm1,backendName:"cpu",kernelFunc:AB};var e0=jr(function(n){return Math.floor(n)}),NB=$r(T.Floor,e0),xB={kernelName:T.Floor,backendName:"cpu",kernelFunc:NB};var t0=jr(function(n){return Math.log(n)}),CB=$r(T.Log,t0),RB={kernelName:T.Log,backendName:"cpu",kernelFunc:CB};function n0(n,t,e,i){for(var r=T.util.getTypedArrayFromDType(i,T.util.sizeFromShape(e)),a=0;a<r.length;++a){for(var s=a*t,o=n[s],l=0;l<t;++l){var u=n[s+l];u>o&&(o=u)}r[a]=o}return r}var i0=ir(function(n,t){return n*t}),OB=bd(function(n,t,e,i){return{real:n*e-t*i,imag:n*i+t*e}}),r0=Kr(T.Multiply,i0,OB),EB={kernelName:T.Multiply,backendName:"cpu",kernelFunc:r0};var a0=jr(function(n){return 1/Math.sqrt(n)}),DB=$r(T.Rsqrt,a0),kB={kernelName:T.Rsqrt,backendName:"cpu",kernelFunc:DB};function s0(n,t,e,i,r){var a=T.slice_util.isSliceContinous(i,t,e),s=T.util.sizeFromShape(e),o=T.util.computeStrides(i);if(a){var l=T.slice_util.computeFlatOffset(t,o);return n.subarray(l,l+s)}for(var u=T.util.getTypedArrayFromDType(r,s),c=0;c<s;++c){var h=e.length,d=T.util.computeStrides(e),p=T.util.indexToLoc(c,h,d),f=p.map(function(g,v){return g+t[v]}),m=T.util.locToIndex(f,i.length,o);u[c]=n[m]}return u}function wd(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.begin,s=i.size;ae(r,"slice");var o=T.slice_util.parseSliceParams(r,a,s),l=o[0],u=o[1];T.slice_util.assertParamsValid(r,l,u);var c=e.data.get(r.dataId).values,h=s0(c,l,u,r.shape,r.dtype);return e.makeTensorInfo(u,r.dtype,h)}var FB={kernelName:T.Slice,backendName:"cpu",kernelFunc:wd};var o0=ir(function(n,t){return n-t}),WB=bd(function(n,t,e,i){return{real:n-e,imag:t-i}}),l0=Kr(T.Sub,o0,WB),UB={kernelName:T.Sub,backendName:"cpu",kernelFunc:l0};function Sd(n,t,e,i,r){for(var a=t.length,s=T.util.sizeFromShape(t),o=T.util.computeStrides(t),l=T.util.computeStrides(r),u=T.util.getTypedArrayFromDType(e,T.util.sizeFromShape(r)),c=0;c<s;++c){for(var h=T.util.indexToLoc(c,a,o),d=new Array(h.length),p=0;p<d.length;p++)d[p]=h[i[p]];var f=T.util.locToIndex(d,a,l);u[f]=n[c]}return u}function u0(n,t,e,i){for(var r=T.util.parseAxisParam(t,e)[0],a=[1,e[0],1],s=0;s<r;s++)a[0]*=e[s];a[1]=e[r];for(var s=r+1;s<e.length;s++)a[2]*=e[s];for(var o={},l=new Int32Array(e[r]),u=new T.TensorBuffer(a,i,n),c=[],h=a[0]===1&&a[2]===1,s=0;s<e[r];s++){var d=void 0;if(h)d=n[s].toString();else{for(var p=[],f=0;f<a[0];f++)for(var m=0;m<a[2];m++)p.push(u.get(f,s,m));d=p.join(",")}if(o[d]!==void 0)l[s]=o[d];else{var g=Object.keys(o).length;o[d]=g,l[s]=g,c.push(s)}}var v=a.slice();v[1]=Object.keys(o).length;var b=new T.TensorBuffer(v,i);c.forEach(function(S,L){for(var x=0;x<a[0];x++)for(var C=0;C<a[2];C++)b.set(u.get(x,S,C),x,L,C)});var w=e.slice();return w[r]=v[1],{outputValues:b.values,outputShape:w,indices:l}}var BB={__proto__:null,simpleAbsImpl:jw,addImpl:$w,ceilImpl:Jw,expImpl:Zw,expm1Impl:Qw,floorImpl:e0,logImpl:t0,maxImpl:n0,multiplyImpl:i0,rsqrtImpl:a0,sliceImpl:s0,subImpl:o0,transposeImpl:Sd,uniqueImpl:u0};var zB="2.6.0";T.registerBackend("cpu",function(){return new Kw},1);var PB=je(T.Acos,function(n){return Math.acos(n)}),_B={kernelName:T.Acos,backendName:"cpu",kernelFunc:PB};var MB=je(T.Acosh,function(n){return Math.acosh(n)}),HB={kernelName:T.Acosh,backendName:"cpu",kernelFunc:MB};var VB=je(T.Asin,function(n){return Math.asin(n)}),qB={kernelName:T.Asin,backendName:"cpu",kernelFunc:VB};var GB=je(T.Asinh,function(n){return Math.asinh(n)}),YB={kernelName:T.Asinh,backendName:"cpu",kernelFunc:GB};var KB=je(T.Atan,function(n){return Math.atan(n)}),jB={kernelName:T.Atan,backendName:"cpu",kernelFunc:KB};var $B=je(T.Atanh,function(n){return Math.atanh(n)}),XB={kernelName:T.Atanh,backendName:"cpu",kernelFunc:$B};function Ld(n,t,e,i,r,a){for(var s=r.strideHeight,o=r.strideWidth,l=r.dilationHeight,u=r.dilationWidth,c=r.effectiveFilterHeight,h=r.effectiveFilterWidth,d=r.padInfo.top,p=r.padInfo.left,f=a==="max"?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=T.buffer(r.outShape,e),g=m.values,v=r.outShape[1]*r.outShape[2]*r.outShape[3],b=r.outShape[2]*r.outShape[3],w=r.outShape[3],S=0;S<r.batchSize;++S)for(var L=S*v,x=S*i[0],C=0;C<r.inChannels;++C)for(var R=0;R<r.outHeight;++R)for(var D=R*s-d,k=Math.max(0,D),W=Math.min(r.inHeight,c+D),F=L+R*b,P=0;P<r.outWidth;++P){for(var H=P*o-p,_=Math.max(0,H),K=Math.min(r.inWidth,h+H),j=f,q=0,G=0,Z=k;Z<W;Z+=l){for(var X=x+Z*i[1],ee=_;ee<K;ee+=u){var ne=X+ee*i[2],ie=n[ne+C];a==="max"&&ie>j?j=ie:a==="avg"&&(q+=ie,G++)}if(isNaN(j))break}var te=F+P*w+C;g[te]=a==="avg"?q/G:j}return m}function c0(n,t,e,i,r,a){r===void 0&&(r=!1),a===void 0&&(a=!1);for(var s=T.buffer(i.outShape,"int32"),o=i.strideHeight,l=i.strideWidth,u=i.dilationHeight,c=i.dilationWidth,h=i.effectiveFilterHeight,d=i.effectiveFilterWidth,p=i.padInfo.top,f=i.padInfo.left,m=T.buffer(t,e,n),g=0;g<i.batchSize;++g)for(var v=0;v<i.inChannels;++v)for(var b=0;b<i.outHeight;++b){for(var w=b*o-p,S=w;S<0;)S+=u;for(var L=Math.min(i.inHeight,h+w),x=0;x<i.outWidth;++x){for(var C=x*l-f,R=C;R<0;)R+=c;for(var D=Math.min(i.inWidth,d+C),k=Number.NEGATIVE_INFINITY,W=-1,F=S;F<L;F+=u)for(var P=F-w,H=R;H<D;H+=c){var _=H-C,K=m.get(g,F,H,v);K>k&&(k=K,r?W=a?((g*i.inHeight+F)*i.inWidth+H)*i.inChannels+v:(F*i.inWidth+H)*i.inChannels+v:W=P*d+_)}s.set(W,g,b,x,v)}}return s}function JB(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x;ae(r,"avgPool");var a=i.filterSize,s=i.strides,o=i.pad,l=i.dimRoundingMode,u=1;T.util.assert(T.backend_util.eitherStridesOrDilationsAreOne(s,u),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+u+"'")});var c=T.backend_util.computePool2DInfo(r.shape,a,s,u,o,l),h;if(c.filterWidth===1&&c.filterHeight===1&&T.util.arraysEqual(c.inShape,c.outShape))h=Yr({inputs:{x:r},backend:e});else{var d=e.data.get(r.dataId).values,p=T.util.computeStrides(r.shape),f=Ld(d,r.shape,r.dtype,p,c,"avg");h=e.makeTensorInfo(c.outShape,r.dtype,f.values)}return h}var ZB={kernelName:T.AvgPool,backendName:"cpu",kernelFunc:JB};function QB(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.dy,a=t.input,s=a;ae([r,a],"avgPoolBackprop");for(var o=i.filterSize,l=i.strides,u=i.pad,c=T.backend_util.computePool2DInfo(s.shape,o,l,1,u),h=c.strideHeight,d=c.strideWidth,p=c.filterHeight,f=c.filterWidth,m=c.dilationHeight,g=c.dilationWidth,v=c.effectiveFilterHeight,b=c.effectiveFilterWidth,w=b-1-c.padInfo.left,S=v-1-c.padInfo.top,L=T.buffer(s.shape,"float32"),x=1/(p*f),C=e.data.get(r.dataId).values,R=T.buffer(r.shape,"float32",C),D=0;D<c.batchSize;++D)for(var k=0;k<c.inChannels;++k)for(var W=0;W<c.inHeight;++W)for(var F=0;F<c.inWidth;++F){for(var P=W-S,H=F-w,_=0,K=0;K<v;K+=m){var j=(P+K)/h;if(j<0||j>=c.outHeight||Math.floor(j)!==j)continue;for(var q=0;q<b;q+=g){var G=(H+q)/d;if(G<0||G>=c.outWidth||Math.floor(G)!==G)continue;var Z=R.get(D,j,G,k);_+=Z}}L.set(_*x,D,W,F,k)}return e.makeTensorInfo(L.shape,L.dtype,L.values)}var ez={kernelName:T.AvgPoolBackprop,backendName:"cpu",kernelFunc:QB};function tz(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=t.scale,s=t.offset,o=t.mean,l=t.variance;T.util.assert(o.shape.length===l.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),T.util.assert(s==null||o.shape.length===s.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),T.util.assert(a==null||o.shape.length===a.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}),ae([r,o,l,a,s],"batchNorm");var u=i.varianceEpsilon;u==null&&(u=.001);for(var c=e.data.get(r.dataId).values,h=e.data.get(o.dataId).values,d=e.data.get(l.dataId).values,p=a?e.data.get(a.dataId).values:new Float32Array([1]),f=s?e.data.get(s.dataId).values:new Float32Array([0]),m=new Float32Array(c.length),g=f.length,v=p.length,b=d.length,w=h.length,S=0,L=0,x=0,C=0,R=0;R<c.length;++R)m[R]=f[S++]+(c[R]-h[L++])*p[x++]/Math.sqrt(d[C++]+u),S>=g&&(S=0),L>=w&&(L=0),x>=v&&(x=0),C>=b&&(C=0);return e.makeTensorInfo(r.shape,r.dtype,m)}var nz={kernelName:T.FusedBatchNorm,backendName:"cpu",kernelFunc:tz};var iz=je(T.ClipByValue,function(n,t){var e=t;return n>e.clipValueMax?e.clipValueMax:n<e.clipValueMin?e.clipValueMin:n}),rz={kernelName:T.ClipByValue,backendName:"cpu",kernelFunc:iz};function Do(n){var t=n.inputs,e=n.backend,i=t.input,r=e.data.get(i.dataId).complexTensorInfos.imag,a=e.data.get(r.dataId).values;return e.makeTensorInfo(r.shape,r.dtype,a)}var az={kernelName:T.Imag,backendName:"cpu",kernelFunc:Do};function Si(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.shape,s=T.util.sizeFromShape(r.shape),o=T.util.inferFromImplicitShape(a,s),l=T.util.sizeFromShape(o);T.util.assert(s===l,function(){return"The new shape ("+o+") has "+l+" elements and the old "+("shape ("+r.shape+") has "+s+" elements. The new shape and old ")+"shape must have the same number of elements."}),e.incRef(r.dataId);var u=e.data.get(r.dataId);if(u.complexTensorInfos!=null){var c=u.complexTensorInfos.real,h=u.complexTensorInfos.imag;c.shape=o,h.shape=o}return{dataId:r.dataId,shape:o,dtype:r.dtype}}var sz={kernelName:T.Reshape,backendName:"cpu",kernelFunc:Si};function Ja(n){var t=n.inputs,e=n.backend,i=n.attrs,r=i.axis,a=T.util.parseAxisParam(r,t[0].shape)[0],s=T.backend_util.computeOutShape(t.map(function(S){return S.shape}),a);if(T.util.sizeFromShape(s)===0)return e.makeTensorInfo(s,t[0].dtype,[]);var o=t.filter(function(S){return T.util.sizeFromShape(S.shape)>0});if(o.length===1)return o[0];var l=o.map(function(S){return S.shape});if(T.backend_util.assertParamsConsistent(l,a),o[0].dtype==="complex64"){var u=o.map(function(S){return $a({inputs:{input:S},backend:e})}),c=o.map(function(S){return Do({inputs:{input:S},backend:e})}),h=Ja({inputs:u,backend:e,attrs:{axis:r}}),d=Ja({inputs:c,backend:e,attrs:{axis:r}}),p=bn({inputs:{real:h,imag:d},backend:e});return u.forEach(function(S){return e.disposeIntermediateTensorInfo(S)}),c.forEach(function(S){return e.disposeIntermediateTensorInfo(S)}),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),p}var f=o.map(function(S){var L=T.util.sizeFromShape(S.shape.slice(a)),x=[-1,L];return Si({inputs:{x:S},backend:e,attrs:{shape:x}})});s=T.backend_util.computeOutShape(f.map(function(S){return S.shape}),1);var m=T.util.getTypedArrayFromDType(o[0].dtype,T.util.sizeFromShape(s));if(f[0].shape[0]===1){var g=0;f.forEach(function(S){var L=e.data.get(S.dataId).values,x=T.util.sizeFromShape(S.shape);m.set(L,g),g+=x})}else{var v=0;f.forEach(function(S){for(var L=e.data.get(S.dataId).values,x=0,C=0;C<S.shape[0];++C)for(var R=C*s[1]+v,D=0;D<S.shape[1];++D)m[R+D]=L[x++];v+=S.shape[1]})}var b=T.backend_util.computeOutShape(o.map(function(S){return S.shape}),a),w=e.makeTensorInfo(b,t[0].dtype,m);return f.forEach(function(S){return e.disposeIntermediateTensorInfo(S)}),w}var oz={kernelName:T.Concat,backendName:"cpu",kernelFunc:Ja};var lz=je(T.Cos,function(n){return Math.cos(n)}),uz={kernelName:T.Cos,backendName:"cpu",kernelFunc:lz};var cz=je(T.Cosh,function(n){return Math.cosh(n)}),hz={kernelName:T.Cosh,backendName:"cpu",kernelFunc:cz};var dz={kernelName:T.Dilation2D,backendName:"cpu",kernelFunc:function(n){for(var t=n.inputs,e=n.backend,i=n.attrs,r=t,a=r.x,s=r.filter,o=i,l=o.strides,u=o.pad,c=o.dilations,h=e,d=h.data.get(a.dataId).values,p=a.shape.length,f=h.data.get(s.dataId).values,m=s.shape.length,g=T.backend_util.computeDilation2DInfo(a.shape,s.shape,l,u,"NHWC",c),v=g.batchSize,b=g.inHeight,w=g.inWidth,S=g.inChannels,L=g.outHeight,x=g.outWidth,C=g.padInfo,R=g.strideHeight,D=g.strideWidth,k=g.filterHeight,W=g.filterWidth,F=g.dilationHeight,P=g.dilationWidth,H=g.outShape,_=T.util.sizeFromShape(H),K=H.length,j=T.util.getArrayFromDType(a.dtype,_),q=0;q<v;++q)for(var G=0;G<L;++G)for(var Z=G*R-C.top,X=0;X<x;++X)for(var ee=X*D-C.left,ne=0;ne<S;++ne){for(var ie=Number.MIN_SAFE_INTEGER,te=0;te<k;++te){var re=Z+te*F;if(re>=0&&re<b)for(var le=0;le<W;++le){var he=ee+le*P;if(he>=0&&he<w){var be=T.util.locToIndex([q,re,he,ne],p,T.util.computeStrides(a.shape)),Oe=T.util.locToIndex([te,le,ne],m,T.util.computeStrides(s.shape)),ke=d[be]+f[Oe];ke>ie&&(ie=ke)}}}var _e=T.util.locToIndex([q,G,X,ne],K,T.util.computeStrides(H));j[_e]=ie}var Me=h.write(T.util.toTypedArray(j,a.dtype),H,a.dtype);return{dataId:Me,shape:H,dtype:a.dtype}}};var pz={kernelName:T.Dilation2DBackpropFilter,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t,a=r.x,s=r.filter,o=r.dy,l=i,u=l.strides,c=l.pad,h=l.dilations,d=e,p=T.util.toNestedArray(a.shape,d.data.get(a.dataId).values),f=T.util.toNestedArray(s.shape,d.data.get(s.dataId).values),m=T.backend_util.computeDilation2DInfo(a.shape,s.shape,u,c,"NHWC",h),g=m.batchSize,v=m.inHeight,b=m.inWidth,w=m.inChannels,S=m.outHeight,L=m.outWidth,x=m.padInfo,C=m.strideHeight,R=m.strideWidth,D=m.filterHeight,k=m.filterWidth,W=m.dilationHeight,F=m.dilationWidth,P=m.outShape;T.util.assert(o.rank===P.length,function(){return"Error in "+T.Dilation2DBackpropFilter+", dy "+("must have the same rank as output "+P.length+", but got ")+(""+o.rank)});for(var H=T.util.toNestedArray(P,d.data.get(o.dataId).values),_=T.util.makeZerosNestedTypedArray(s.shape,s.dtype),K=0;K<g;++K)for(var j=0;j<S;++j)for(var q=j*C-x.top,G=0;G<L;++G)for(var Z=G*R-x.left,X=0;X<w;++X){for(var ee=Number.MIN_SAFE_INTEGER,ne=0,ie=0,te=0;te<D;++te){var re=q+te*W;if(re>=0&&re<v)for(var le=0;le<k;++le){var he=Z+le*F;if(he>=0&&he<b){var be=p[K][re][he][X]+f[te][le][X];be>ee&&(ee=be,ne=te,ie=le)}}}_[ne][ie][X]+=H[K][j][G][X]}var Oe=d.write(T.util.toTypedArray(_,a.dtype),s.shape,s.dtype);return{dataId:Oe,shape:s.shape,dtype:s.dtype}}};var fz={kernelName:T.Dilation2DBackpropInput,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t,a=r.x,s=r.filter,o=r.dy,l=i,u=l.strides,c=l.pad,h=l.dilations,d=e,p=T.util.toNestedArray(a.shape,d.data.get(a.dataId).values),f=T.util.toNestedArray(s.shape,d.data.get(s.dataId).values),m=T.backend_util.computeDilation2DInfo(a.shape,s.shape,u,c,"NHWC",h),g=m.batchSize,v=m.inHeight,b=m.inWidth,w=m.inChannels,S=m.outHeight,L=m.outWidth,x=m.padInfo,C=m.strideHeight,R=m.strideWidth,D=m.filterHeight,k=m.filterWidth,W=m.dilationHeight,F=m.dilationWidth,P=m.outShape;T.util.assert(o.rank===P.length,function(){return"Error in "+T.Dilation2DBackpropInput+", dy "+("must have the same rank as output "+P.length+", but got ")+(""+o.rank)});for(var H=T.util.toNestedArray(P,d.data.get(o.dataId).values),_=T.util.makeZerosNestedTypedArray(a.shape,a.dtype),K=0;K<g;++K)for(var j=0;j<S;++j)for(var q=j*C-x.top,G=0;G<L;++G)for(var Z=G*R-x.left,X=0;X<w;++X){for(var ee=Number.MIN_SAFE_INTEGER,ne=q<0?0:q,ie=Z<0?0:Z,te=0;te<D;++te){var re=q+te*W;if(re>=0&&re<v)for(var le=0;le<k;++le){var he=Z+le*F;if(he>=0&&he<b){var be=p[K][re][he][X]+f[te][le][X];be>ee&&(ee=be,ne=re,ie=he)}}}_[K][ne][ie][X]+=H[K][j][G][X]}var Oe=d.write(T.util.toTypedArray(_,a.dtype),a.shape,a.dtype);return{dataId:Oe,shape:a.shape,dtype:a.dtype}}};var mz=ir(function(n,t){return n/t}),gz=Kr(T.Div,mz),Id={kernelName:T.Div,backendName:"cpu",kernelFunc:gz};var vz=je(T.Elu,function(n){return n>=0?n:Math.exp(n)-1}),yz={kernelName:T.Elu,backendName:"cpu",kernelFunc:vz};var bz=T.backend_util.ERF_P,wz=T.backend_util.ERF_A1,Sz=T.backend_util.ERF_A2,Lz=T.backend_util.ERF_A3,Iz=T.backend_util.ERF_A4,Az=T.backend_util.ERF_A5,Tz=je(T.Erf,function(n){var t=Math.sign(n),e=Math.abs(n),i=1/(1+bz*e);return t*(1-((((Az*i+Iz)*i+Lz)*i+Sz)*i+wz)*i*Math.exp(-e*e))}),Nz={kernelName:T.Erf,backendName:"cpu",kernelFunc:Tz};function h0(n,t,e){for(var i=n.shape,r=i[0],a=i[1],s=e.data.get(n.dataId),o=s.complexTensorInfos.real,l=s.complexTensorInfos.imag,u=[r,a],c=T.util.sizeFromShape(u),h=T.util.getTypedArrayFromDType("float32",c),d=T.util.getTypedArrayFromDType("float32",c),p=0;p<r;p++){for(var f=wd({inputs:{x:o},backend:e,attrs:{begin:[p,0],size:[1,a]}}),m=wd({inputs:{x:l},backend:e,attrs:{begin:[p,0],size:[1,a]}}),g=bn({inputs:{real:f,imag:m},backend:e}),v=xz(g,t,e),b=v.real,w=v.imag,S=T.backend_util.mergeRealAndImagArrays(b,w),L=0;L<a;L++){var x=T.backend_util.getComplexWithIndex(S,L);h[p*a+L]=x.real,d[p*a+L]=x.imag}e.disposeIntermediateTensorInfo(f),e.disposeIntermediateTensorInfo(m),e.disposeIntermediateTensorInfo(g)}var C=e.makeTensorInfo(u,"float32",h),R=e.makeTensorInfo(u,"float32",d),D=bn({inputs:{real:C,imag:R},backend:e});return e.disposeIntermediateTensorInfo(C),e.disposeIntermediateTensorInfo(R),D}function xz(n,t,e){var i=T.util.sizeFromShape(n.shape),r=e.data.get(n.dataId),a=e.data.get(r.complexTensorInfos.real.dataId).values,s=e.data.get(r.complexTensorInfos.imag.dataId).values;if(Cz(i)){var o=Ad(a,s,i,t,e),l=[n.shape[0],n.shape[1]];if(t){var u=e.makeTensorInfo(l,"float32",o.real),c=e.makeTensorInfo(l,"float32",o.imag),h=e.makeTensorInfo([],"float32",T.util.createScalarValue(i,"float32")),d=Yr({inputs:{x:h},backend:e}),p=Id.kernelFunc({inputs:{a:u,b:h},backend:e}),f=Id.kernelFunc({inputs:{a:c,b:d},backend:e}),m=e.data.get(p.dataId).values,g=e.data.get(f.dataId).values;return e.disposeIntermediateTensorInfo(u),e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(h),e.disposeIntermediateTensorInfo(d),e.disposeIntermediateTensorInfo(p),e.disposeIntermediateTensorInfo(f),{real:m,imag:g}}return o}else{var v=T.backend_util.mergeRealAndImagArrays(a,s),b=Rz(v,i,t);return T.backend_util.splitRealAndImagArrays(b)}}function Cz(n){return(n&n-1)===0}function Ad(n,t,e,i,r){if(e===1)return{real:n,imag:t};var a=T.backend_util.mergeRealAndImagArrays(n,t),s=e/2,o=T.backend_util.complexWithEvenIndex(a),l=o.real,u=o.imag,c=[l.length],h=r.makeTensorInfo(c,"float32",l),d=r.makeTensorInfo(c,"float32",u),p=bn({inputs:{real:h,imag:d},backend:r}),f=T.backend_util.complexWithOddIndex(a),m=f.real,g=f.imag,v=[m.length],b=r.makeTensorInfo(v,"float32",m),w=r.makeTensorInfo(v,"float32",g),S=bn({inputs:{real:b,imag:w},backend:r}),L=Ad(l,u,s,i,r),x=L.real,C=L.imag,R=[x.length],D=r.makeTensorInfo(R,"float32",x),k=r.makeTensorInfo(R,"float32",C),W=bn({inputs:{real:D,imag:k},backend:r}),F=Ad(m,g,s,i,r),P=F.real,H=F.imag,_=[P.length],K=r.makeTensorInfo(_,"float32",P),j=r.makeTensorInfo(_,"float32",H),q=bn({inputs:{real:K,imag:j},backend:r}),G=T.backend_util.exponents(e,i),Z=[G.real.length],X=r.makeTensorInfo(Z,"float32",G.real),ee=r.makeTensorInfo(Z,"float32",G.imag),ne=bn({inputs:{real:X,imag:ee},backend:r}),ie=r0({inputs:{a:ne,b:q},backend:r}),te=Xw({inputs:{a:W,b:ie},backend:r}),re=l0({inputs:{a:W,b:ie},backend:r}),le=$a({inputs:{input:te},backend:r}),he=$a({inputs:{input:re},backend:r}),be=Do({inputs:{input:te},backend:r}),Oe=Do({inputs:{input:re},backend:r}),ke=Ja({inputs:[le,he],backend:r,attrs:{axis:0}}),_e=Ja({inputs:[be,Oe],backend:r,attrs:{axis:0}}),Me=r.data.get(ke.dataId).values,ct=r.data.get(_e.dataId).values;return r.disposeIntermediateTensorInfo(h),r.disposeIntermediateTensorInfo(d),r.disposeIntermediateTensorInfo(p),r.disposeIntermediateTensorInfo(b),r.disposeIntermediateTensorInfo(w),r.disposeIntermediateTensorInfo(S),r.disposeIntermediateTensorInfo(D),r.disposeIntermediateTensorInfo(k),r.disposeIntermediateTensorInfo(W),r.disposeIntermediateTensorInfo(K),r.disposeIntermediateTensorInfo(j),r.disposeIntermediateTensorInfo(q),r.disposeIntermediateTensorInfo(X),r.disposeIntermediateTensorInfo(ee),r.disposeIntermediateTensorInfo(ne),r.disposeIntermediateTensorInfo(ie),r.disposeIntermediateTensorInfo(te),r.disposeIntermediateTensorInfo(re),r.disposeIntermediateTensorInfo(le),r.disposeIntermediateTensorInfo(be),r.disposeIntermediateTensorInfo(he),r.disposeIntermediateTensorInfo(Oe),r.disposeIntermediateTensorInfo(ke),r.disposeIntermediateTensorInfo(_e),{real:Me,imag:ct}}function Rz(n,t,e){for(var i=new Float32Array(t*2),r=0;r<t;r++){for(var a=0,s=0,o=0;o<t;o++){var l=T.backend_util.exponent(r*o,t,e),u=T.backend_util.getComplexWithIndex(n,o);a+=u.real*l.real-u.imag*l.imag,s+=u.real*l.imag+u.imag*l.real}e&&(a/=t,s/=t),T.backend_util.assignToTypedArray(i,a,s,r)}return i}function Oz(n){var t=n.inputs,e=n.backend,i=t.input,r=T.util.sizeFromShape(i.shape),a=i.shape[i.shape.length-1],s=r/a,o=Si({inputs:{x:i},backend:e,attrs:{shape:[s,a]}}),l=h0(o,!1,e),u=Si({inputs:{x:l},backend:e,attrs:{shape:i.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(l),u}var Ez={kernelName:T.FFT,backendName:"cpu",kernelFunc:Oz};var Dz={kernelName:T.FlipLeftRight,backendName:"cpu",kernelFunc:function(n){for(var t=n.inputs,e=n.attrs,i=n.backend,r=t.image,a=i,s=T.util.getTypedArrayFromDType(r.dtype,T.util.sizeFromShape(r.shape)),o=r.shape,l=o[0],u=o[1],c=o[2],h=o[3],d=a.data.get(r.dataId).values,p=0;p<l;p++)for(var f=p*c*u*h,m=0;m<u;m++)for(var g=m*(c*h),v=0;v<c;v++)for(var b=v*h,w=0;w<h;w++){var S=[l,m,v,w],L=S[2],x=Math.round(c-L),C=f+g+b+w,R=d[C];if(x>=0&&x<c){var D=x*h,k=f+g+D+w;R=d[k]}s[C]=R}var W=a.write(s,r.shape,r.dtype);return{dataId:W,shape:r.shape,dtype:r.dtype}}};function kz(n){var t=n.inputs,e=n.backend,i=t.input,r=T.util.sizeFromShape(i.shape),a=i.shape[i.shape.length-1],s=r/a,o=Si({inputs:{x:i},backend:e,attrs:{shape:[s,a]}}),l=h0(o,!0,e),u=Si({inputs:{x:l},backend:e,attrs:{shape:i.shape}});return e.disposeIntermediateTensorInfo(o),e.disposeIntermediateTensorInfo(l),u}var Fz={kernelName:T.IFFT,backendName:"cpu",kernelFunc:kz};var Wz=je(T.IsFinite,function(n){return Number.isFinite(n)?1:0},"bool"),Uz={kernelName:T.IsFinite,backendName:"cpu",kernelFunc:Wz};var Bz=je(T.IsInf,function(n){return Math.abs(n)===Infinity?1:0},"bool"),zz={kernelName:T.IsInf,backendName:"cpu",kernelFunc:Bz};var Pz=je(T.IsNan,function(n){return Number.isNaN(n)?1:0},"bool"),_z={kernelName:T.IsNan,backendName:"cpu",kernelFunc:Pz};var Mz=je(T.Log1p,function(n){return Math.log1p(n)}),Hz={kernelName:T.Log1p,backendName:"cpu",kernelFunc:Mz};var Vz=je(T.LogicalNot,function(n){return n?0:1},"bool"),qz={kernelName:T.LogicalNot,backendName:"cpu",kernelFunc:Vz};var Gz={kernelName:T.Max,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e,s=a.reductionIndices,o=a.keepDims,l=i,u=r.shape,c=u.length,h=T.util.parseAxisParam(s,u),d=h,p=T.backend_util.getAxesPermutation(d,c),f=l.data.get(r.dataId).values;if(p!=null){for(var m=new Array(c),g=0;g<m.length;g++)m[g]=u[p[g]];f=Sd(f,u,r.dtype,p,m),d=T.backend_util.getInnerMostAxes(d.length,c),u=m}ae(r,"max"),T.backend_util.assertAxesAreInnerMostDims("max",d,c);var v=T.backend_util.computeOutAndReduceShapes(u,d),b=v[0],w=v[1],S=T.util.sizeFromShape(w),L=n0(f,S,b,r.dtype),x=l.write(L,b,r.dtype),C=b;if(o){var m=T.backend_util.expandShapeToKeepDim(b,h);C=m}return{dataId:x,shape:C,dtype:r.dtype}}};function Yz(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x;ae(r,"maxPool");var a=i.filterSize,s=i.strides,o=i.pad,l=i.dimRoundingMode,u=1;T.util.assert(T.backend_util.eitherStridesOrDilationsAreOne(s,u),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+u+"'")});var c=T.backend_util.computePool2DInfo(r.shape,a,s,u,o,l),h;if(c.filterWidth===1&&c.filterHeight===1&&T.util.arraysEqual(c.inShape,c.outShape))h=Yr({inputs:{x:r},backend:e});else{var d=e.data.get(r.dataId).values,p=T.util.computeStrides(r.shape),f=Ld(d,r.shape,r.dtype,p,c,"max");h=e.makeTensorInfo(c.outShape,r.dtype,f.values)}return h}var Kz={kernelName:T.MaxPool,backendName:"cpu",kernelFunc:Yz};function jz(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.dy,a=t.input,s=t.output,o=a;ae([a,s],"maxPoolBackprop");for(var l=i.filterSize,u=i.strides,c=i.pad,h=i.dimRoundingMode,d=T.backend_util.computePool2DInfo(o.shape,l,u,1,c,h),p=e.data.get(o.dataId).values,f=T.buffer(d.outShape,o.dtype,c0(p,o.shape,o.dtype,d).values),m=d.strideHeight,g=d.strideWidth,v=d.dilationHeight,b=d.dilationWidth,w=d.effectiveFilterHeight,S=d.effectiveFilterWidth,L=S-1-d.padInfo.left,x=w-1-d.padInfo.top,C=T.buffer(o.shape,"float32"),R=e.data.get(r.dataId).values,D=T.buffer(r.shape,"float32",R),k=0;k<d.batchSize;++k)for(var W=0;W<d.inChannels;++W)for(var F=0;F<d.inHeight;++F)for(var P=0;P<d.inWidth;++P){for(var H=F-x,_=P-L,K=0,j=0;j<w;j+=v){var q=(H+j)/m;if(q<0||q>=d.outHeight||Math.floor(q)!==q)continue;for(var G=0;G<S;G+=b){var Z=(_+G)/g;if(Z<0||Z>=d.outWidth||Math.floor(Z)!==Z)continue;var X=w*S-1-f.get(k,q,Z,W),ee=j*S+G,ne=X===ee?1:0;if(ne===0)continue;var ie=D.get(k,q,Z,W);K+=ie*ne}}C.set(K,k,F,P,W)}return e.makeTensorInfo(C.shape,C.dtype,C.values)}var $z={kernelName:T.MaxPoolBackprop,backendName:"cpu",kernelFunc:jz};function Xz(n,t,e,i,r){var a=T.util.computeStrides(t),s=Ld(n,t,e,a,r,"max"),o=c0(n,t,e,r,!0,i);return[s.values,o.values]}var Jz={kernelName:T.MaxPoolWithArgmax,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e,s=a.filterSize,o=a.strides,l=a.pad,u=a.includeBatchInIndex,c=i;ae(r,"MaxPoolWithArgmax");var h=c.data.get(r.dataId).values,d=T.backend_util.computePool2DInfo(r.shape,s,o,[1,1],l),p=Xz(h,r.shape,r.dtype,u,d),f=p[0],m=p[1],g=c.write(f,d.outShape,r.dtype),v=c.write(m,d.outShape,r.dtype);return[{dataId:g,shape:d.outShape,dtype:r.dtype},{dataId:v,shape:d.outShape,dtype:"int32"}]}};var Zz=T.kernel_impls.nonMaxSuppressionV4Impl,Qz={kernelName:T.NonMaxSuppressionV4,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t,a=r.boxes,s=r.scores,o=i,l=o.maxOutputSize,u=o.iouThreshold,c=o.scoreThreshold,h=o.padToMaxOutputSize,d=e;ae(a,"NonMaxSuppressionPadded");var p=d.data.get(a.dataId).values,f=d.data.get(s.dataId).values,m=Zz(p,f,l,u,c,h),g=m.selectedIndices,v=m.validOutputs;return[g,v]}};var eP=T.kernel_impls.nonMaxSuppressionV5Impl,tP={kernelName:T.NonMaxSuppressionV5,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t,a=r.boxes,s=r.scores,o=i,l=o.maxOutputSize,u=o.iouThreshold,c=o.scoreThreshold,h=o.softNmsSigma,d=e;ae(a,"NonMaxSuppressionWithScore");var p=d.data.get(a.dataId).values,f=d.data.get(s.dataId).values,m=l,g=u,v=c,b=h,w=eP(p,f,m,g,v,b),S=w.selectedIndices,L=w.selectedScores;return[S,L]}};var nP=ir(function(n,t){return n!==t?1:0}),iP=Kr(T.NotEqual,nP,null,"bool"),rP={kernelName:T.NotEqual,backendName:"cpu",kernelFunc:iP};function aP(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.paddings,s=i.constantValue;ae(r,"pad");var o=a.map(function(x,C){return x[0]+r.shape[C]+x[1]}),l=a.map(function(x){return x[0]}),u=e.data.get(r.dataId).values,c=T.util.sizeFromShape(r.shape),h=r.shape.length,d=T.util.computeStrides(r.shape),p=T.util.sizeFromShape(o),f=o.length,m=T.util.computeStrides(o),g=T.util.getTypedArrayFromDType(r.dtype,p);s!==0&&g.fill(s);for(var v=0;v<c;v++){var b=T.util.indexToLoc(v,h,d),w=b.map(function(x,C){return x+l[C]}),S=T.util.locToIndex(w,f,m);g[S]=u[v]}var L=e.write(g,o,r.dtype);return{dataId:L,shape:o,dtype:r.dtype}}var d0={kernelName:T.PadV2,backendName:"cpu",kernelFunc:aP};var sP=je(T.Reciprocal,function(n){return 1/n}),oP={kernelName:T.Reciprocal,backendName:"cpu",kernelFunc:sP};var lP={kernelName:T.RotateWithOffset,backendName:"cpu",kernelFunc:function(n){for(var t=n.inputs,e=n.attrs,i=n.backend,r=t.image,a=e,s=a.radians,o=a.fillValue,l=a.center,u=i,c=T.util.getTypedArrayFromDType(r.dtype,T.util.sizeFromShape(r.shape)),h=r.shape,d=h[0],p=h[1],f=h[2],m=h[3],g=T.backend_util.getImageCenter(l,p,f),v=g[0],b=g[1],w=255,S=Math.sin(s),L=Math.cos(s),x=u.data.get(r.dataId).values,C=0;C<d;C++)for(var R=C*f*p*m,D=0;D<p;D++)for(var k=D*(f*m),W=0;W<f;W++)for(var F=W*m,P=0;P<m;P++){var H=[d,D,W,P],_=H[2],K=H[1],j=(_-v)*L-(K-b)*S,q=(_-v)*S+(K-b)*L;j=Math.round(j+v),q=Math.round(q+b);var G=o;if(typeof o!="number"&&(P===3?G=w:G=o[P]),j>=0&&j<f&&q>=0&&q<p){var Z=q*(f*m),X=j*m,ee=R+Z+X+P;G=x[ee]}var ne=R+k+F+P;c[ne]=G}var ie=u.write(c,r.shape,r.dtype);return{dataId:ie,shape:r.shape,dtype:r.dtype}}};var uP=je(T.Round,function(n){var t=Math.floor(n);return n-t<.5?Math.floor(n):n-t>.5?Math.ceil(n):t%2===0?t:t+1}),cP={kernelName:T.Round,backendName:"cpu",kernelFunc:uP};var hP=T.backend_util.SELU_SCALEALPHA,dP=T.backend_util.SELU_SCALE,pP=je(T.Selu,function(n){return n>=0?dP*n:hP*(Math.exp(n)-1)}),fP={kernelName:T.Selu,backendName:"cpu",kernelFunc:pP};var mP=je(T.Sigmoid,function(n){return 1/(1+Math.exp(-n))}),gP={kernelName:T.Sigmoid,backendName:"cpu",kernelFunc:mP};var vP=je(T.Sign,function(n){return n<0?-1:n>0?1:0}),yP={kernelName:T.Sign,backendName:"cpu",kernelFunc:vP};var bP=je(T.Sin,function(n){return Math.sin(n)}),wP={kernelName:T.Sin,backendName:"cpu",kernelFunc:bP};var SP=je(T.Sinh,function(n){return Math.sinh(n)}),LP={kernelName:T.Sinh,backendName:"cpu",kernelFunc:SP};var IP=11920928955078125e-23,p0=Math.log(IP)+2,AP=je(T.Softplus,function(n){var t=n>-p0,e=n<p0,i=Math.exp(n),r;return e?r=i:t?r=n:r=Math.log(1+i),r}),TP={kernelName:T.Softplus,backendName:"cpu",kernelFunc:AP};function f0(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e.perm;ae(r,"transpose");for(var s=r.shape.length,o=new Array(s),l=0;l<o.length;l++)o[l]=r.shape[a[l]];var u=i.data.get(r.dataId).values,c=Sd(u,r.shape,r.dtype,a,o),h=i.write(c,o,r.dtype);return{dataId:h,shape:o,dtype:r.dtype}}var NP={kernelName:T.Transpose,backendName:"cpu",kernelFunc:f0};function xP(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.blockShape,s=i.paddings;ae([r],"spaceToBatchND");var o=T.util.sizeFromShape(a),l=[[0,0]];l.push.apply(l,s);for(var u=1+a.length;u<r.shape.length;++u)l.push([0,0]);var c=d0.kernelFunc({inputs:{x:r},backend:e,attrs:{paddings:l,constantValue:0}}),h=T.backend_util.getReshaped(c.shape,a,o,!1),d=T.backend_util.getPermuted(h.length,a.length,!1),p=T.backend_util.getReshapedPermuted(c.shape,a,o,!1),f={x:c},m={shape:h},g=Si({inputs:f,backend:e,attrs:m}),v={x:g},b={perm:d},w=f0({inputs:v,backend:e,attrs:b}),S={x:w},L={shape:p},x=Si({inputs:S,backend:e,attrs:L});return e.disposeIntermediateTensorInfo(c),e.disposeIntermediateTensorInfo(g),e.disposeIntermediateTensorInfo(w),x}var CP={kernelName:T.SpaceToBatchND,backendName:"cpu",kernelFunc:xP};var RP=je(T.Sqrt,function(n){return Math.sqrt(n)}),OP={kernelName:T.Sqrt,backendName:"cpu",kernelFunc:RP};var EP={kernelName:T.Square,backendName:"cpu",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=t.x,r=e;ae(i,"square");for(var a=r.data.get(i.dataId).values,s=new Float32Array(a.length),o=0;o<a.length;++o){var l=a[o];s[o]=l*l}var u=r.write(s,i.shape,i.dtype);return{dataId:u,shape:i.shape,dtype:i.dtype}}};var DP=ir(function(n,t){var e=n-t;return e*e}),kP=Kr(T.SquaredDifference,DP),FP={kernelName:T.SquaredDifference,backendName:"cpu",kernelFunc:kP};var WP=je(T.Step,function(n,t){var e=t;return isNaN(n)?NaN:n>0?1:e.alpha}),UP={kernelName:T.Step,backendName:"cpu",kernelFunc:WP};var BP=je(T.Tan,function(n){return Math.tan(n)}),zP={kernelName:T.Tan,backendName:"cpu",kernelFunc:BP};var PP=je(T.Tanh,function(n){return Math.tanh(n)}),_P={kernelName:T.Tanh,backendName:"cpu",kernelFunc:PP};function MP(n){var t=n.inputs,e=n.attrs,i=n.backend,r=e.axis,a=t.x;ae(a,"unique");var s=i.data.get(a.dataId).values,o=u0(s,r,a.shape,a.dtype),l=o.outputValues,u=o.outputShape,c=o.indices;return[i.makeTensorInfo(u,a.dtype,l),i.makeTensorInfo([c.length],"int32",c)]}var HP={kernelName:T.Unique,backendName:"cpu",kernelFunc:MP};var VP=[pB,_B,HB,bB,qB,YB,jB,XB,ZB,ez,nz,vB,SB,rz,fB,oz,uz,hz,dz,fz,pz,Id,yz,Nz,IB,TB,Ez,Dz,xB,mB,Fz,az,Uz,zz,_z,RB,Hz,qz,Kz,$z,Jz,Gz,EB,Qz,tP,rP,d0,gB,oP,sz,lP,cP,kB,fP,gP,yP,wP,LP,FB,TP,CP,OP,EP,FP,UP,UB,zP,_P,NP,HP];for(var Td=0,m0=VP;Td<m0.length;Td++){var qP=m0[Td];T.registerKernel(qP)}ja.MathBackendCPU=Kw;ja.shared=BB;ja.version_cpu=zB});var ZS=ge(Fn=>{"use strict";Object.defineProperty(Fn,"__esModule",{value:!0});var N=Gi();var Nd=function(n,t){return Nd=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,i){e.__proto__=i}||function(e,i){for(var r in i)i.hasOwnProperty(r)&&(e[r]=i[r])},Nd(n,t)};function GP(n,t){Nd(n,t);function e(){this.constructor=n}n.prototype=t===null?Object.create(t):(e.prototype=t.prototype,new e)}function ko(n,t,e,i){function r(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(c){try{u(i.next(c))}catch(h){s(h)}}function l(c){try{u(i.throw(c))}catch(h){s(h)}}function u(c){c.done?a(c.value):r(c.value).then(o,l)}u((i=i.apply(n,t||[])).next())})}function Fo(n,t){var e={label:0,sent:function(){if(a[0]&1)throw a[1];return a[1]},trys:[],ops:[]},i,r,a,s;return s={next:o(0),throw:o(1),return:o(2)},typeof Symbol=="function"&&(s[Symbol.iterator]=function(){return this}),s;function o(u){return function(c){return l([u,c])}}function l(u){if(i)throw new TypeError("Generator is already executing.");for(;e;)try{if(i=1,r&&(a=u[0]&2?r.return:u[0]?r.throw||((a=r.return)&&a.call(r),0):r.next)&&!(a=a.call(r,u[1])).done)return a;(r=0,a)&&(u=[u[0]&2,a.value]);switch(u[0]){case 0:case 1:a=u;break;case 4:return e.label++,{value:u[1],done:!1};case 5:e.label++,r=u[1],u=[0];continue;case 7:u=e.ops.pop(),e.trys.pop();continue;default:if(!(a=e.trys,a=a.length>0&&a[a.length-1])&&(u[0]===6||u[0]===2)){e=0;continue}if(u[0]===3&&(!a||u[1]>a[0]&&u[1]<a[3])){e.label=u[1];break}if(u[0]===6&&e.label<a[1]){e.label=a[1],a=u;break}if(a&&e.label<a[2]){e.label=a[2],e.ops.push(u);break}a[2]&&e.ops.pop(),e.trys.pop();continue}u=t.call(n,e)}catch(c){u=[6,c],r=0}finally{i=a=0}if(u[0]&5)throw u[1];return{value:u[0]?u[1]:void 0,done:!0}}}var rr={},xd={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function v0(n,t){rr[n]=t}function Wn(n){if(!(n in rr)){var t=YP(n);if(t!==null)rr[n]=t;else return console.log("Could not get context for WebGL version",n),null}var e=rr[n];return e.isContextLost()?(delete rr[n],Wn(n)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),rr[n])}function KP(n){if(typeof OffscreenCanvas!="undefined"&&n===2)return new OffscreenCanvas(300,150);if(typeof document!="undefined")return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function YP(n){if(n!==1&&n!==2)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");var t=KP(n);return t.addEventListener("webglcontextlost",function(e){e.preventDefault(),delete rr[n]},!1),n===1?t.getContext("webgl",xd)||t.getContext("experimental-webgl",xd):t.getContext("webgl2",xd)}var Za;(function(n){n[n.DENSE=0]="DENSE",n[n.SHARED_BATCH=1]="SHARED_BATCH"})(Za||(Za={}));var en;(function(n){n[n.RENDER=0]="RENDER",n[n.UPLOAD=1]="UPLOAD",n[n.PIXELS=2]="PIXELS",n[n.DOWNLOAD=3]="DOWNLOAD"})(en||(en={}));var xt;(function(n){n[n.UNPACKED_FLOAT16=0]="UNPACKED_FLOAT16",n[n.UNPACKED_FLOAT32=1]="UNPACKED_FLOAT32",n[n.PACKED_4X1_UNSIGNED_BYTE=2]="PACKED_4X1_UNSIGNED_BYTE",n[n.PACKED_2X2_FLOAT32=3]="PACKED_2X2_FLOAT32",n[n.PACKED_2X2_FLOAT16=4]="PACKED_2X2_FLOAT16"})(xt||(xt={}));function Qa(n,t){return[t,n]}function jP(n,t){return n*t}function es(n){var t=N.util.sizeFromShape(n),e=Math.ceil(t/4);return N.util.sizeToSquarishShape(e)}function Xr(n,t){return[Math.max(1,Math.ceil(t/2)),Math.max(1,Math.ceil(n/2))]}function $P(n,t){var e=Xr(n,t),i=e[0],r=e[1];return i*r*4}function Cd(n,t){var e=n,i,r,a,s,o,l,u,c,h,d;return N.env().getNumber("WEBGL_VERSION")===2?(i=e.R32F,r=e.R16F,a=e.RGBA16F,s=e.RGBA32F,o=e.RED,u=4,c=1,h=e.HALF_FLOAT,d=e.FLOAT):(i=n.RGBA,r=n.RGBA,a=n.RGBA,s=e.RGBA,o=n.RGBA,u=4,c=4,h=t!=null?t.HALF_FLOAT_OES:null,d=n.FLOAT),l=n.RGBA,{internalFormatFloat:i,internalFormatHalfFloat:r,internalFormatPackedHalfFloat:a,internalFormatPackedFloat:s,textureFormatFloat:o,downloadTextureFormat:l,downloadUnpackNumChannels:u,defaultNumChannels:c,textureTypeHalfFloat:h,textureTypeFloat:d}}function ce(n,t){var e=t();return N.env().getBool("DEBUG")&&XP(n),e}function XP(n){var t=n.getError();if(t!==n.NO_ERROR)throw new Error("WebGL Error: "+y0(n,t))}var JP=596e-10,ZP=65504;function b0(n){return!!(N.env().getBool("WEBGL_RENDER_FLOAT32_ENABLED")||n===0||JP<Math.abs(n)&&Math.abs(n)<ZP)}function y0(n,t){switch(t){case n.NO_ERROR:return"NO_ERROR";case n.INVALID_ENUM:return"INVALID_ENUM";case n.INVALID_VALUE:return"INVALID_VALUE";case n.INVALID_OPERATION:return"INVALID_OPERATION";case n.INVALID_FRAMEBUFFER_OPERATION:return"INVALID_FRAMEBUFFER_OPERATION";case n.OUT_OF_MEMORY:return"OUT_OF_MEMORY";case n.CONTEXT_LOST_WEBGL:return"CONTEXT_LOST_WEBGL";default:return"Unknown error code "+t}}function ts(n,t){return $n(n,function(){return n.getExtension(t)},'Extension "'+t+'" not supported on this browser.')}function w0(n,t){var e=$n(n,function(){return n.createShader(n.VERTEX_SHADER)},"Unable to create vertex WebGLShader.");if(ce(n,function(){return n.shaderSource(e,t)}),ce(n,function(){return n.compileShader(e)}),n.getShaderParameter(e,n.COMPILE_STATUS)===!1)throw console.log(n.getShaderInfoLog(e)),new Error("Failed to compile vertex shader.");return e}function S0(n,t){var e=$n(n,function(){return n.createShader(n.FRAGMENT_SHADER)},"Unable to create fragment WebGLShader.");if(ce(n,function(){return n.shaderSource(e,t)}),ce(n,function(){return n.compileShader(e)}),n.getShaderParameter(e,n.COMPILE_STATUS)===!1)throw QP(t,n.getShaderInfoLog(e)),new Error("Failed to compile fragment shader.");return e}var e_=/ERROR: [0-9]+:([0-9]+):/g;function QP(n,t){var e=e_.exec(t);if(e==null){console.log("Couldn't parse line number in error: "+t),console.log(n);return}for(var i=+e[1],r=n.split(`
|
|
`),a=r.length.toString().length+2,s=r.map(function(d,p){return N.util.rightPad((p+1).toString(),a)+d}),o=0,l=0;l<s.length;l++)o=Math.max(s[l].length,o);var u=s.slice(0,i-1),c=s.slice(i-1,i),h=s.slice(i);console.log(u.join(`
|
|
`)),console.log(t.split(`
|
|
`)[0]),console.log("%c "+N.util.rightPad(c[0],o),"border:1px solid red; background-color:#e3d2d2; color:#a61717"),console.log(h.join(`
|
|
`))}function L0(n){return $n(n,function(){return n.createProgram()},"Unable to create WebGLProgram.")}function I0(n,t){if(ce(n,function(){return n.linkProgram(t)}),n.getProgramParameter(t,n.LINK_STATUS)===!1)throw console.log(n.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}function Wo(n,t){if(ce(n,function(){return n.validateProgram(t)}),n.getProgramParameter(t,n.VALIDATE_STATUS)===!1)throw console.log(n.getProgramInfoLog(t)),new Error("Shader program validation failed.")}function A0(n,t){var e=$n(n,function(){return n.createBuffer()},"Unable to create WebGLBuffer");return ce(n,function(){return n.bindBuffer(n.ARRAY_BUFFER,e)}),ce(n,function(){return n.bufferData(n.ARRAY_BUFFER,t,n.STATIC_DRAW)}),e}function T0(n,t){var e=$n(n,function(){return n.createBuffer()},"Unable to create WebGLBuffer");return ce(n,function(){return n.bindBuffer(n.ELEMENT_ARRAY_BUFFER,e)}),ce(n,function(){return n.bufferData(n.ELEMENT_ARRAY_BUFFER,t,n.STATIC_DRAW)}),e}function t_(){return N.env().getNumber("WEBGL_VERSION")===2?1:4}function N0(n){return $n(n,function(){return n.createTexture()},"Unable to create WebGLTexture.")}function x0(n,t){var e=N.env().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(n<=0||t<=0){var i="["+n+"x"+t+"]";throw new Error("Requested texture size "+i+" is invalid.")}if(n>e||t>e){var i="["+n+"x"+t+"]",r="["+e+"x"+e+"]";throw new Error("Requested texture size "+i+" greater than WebGL maximum on this browser / GPU "+r+".")}}function C0(n){return $n(n,function(){return n.createFramebuffer()},"Unable to create WebGLFramebuffer.")}function Rd(n,t,e,i,r,a,s){var o=n.getAttribLocation(t,e);return o===-1?!1:(ce(n,function(){return n.bindBuffer(n.ARRAY_BUFFER,i)}),ce(n,function(){return n.vertexAttribPointer(o,r,n.FLOAT,!1,a,s)}),ce(n,function(){return n.enableVertexAttribArray(o)}),!0)}function O0(n,t,e){R0(n,e),ce(n,function(){return n.activeTexture(n.TEXTURE0+e)}),ce(n,function(){return n.bindTexture(n.TEXTURE_2D,t)})}function n_(n,t){R0(n,t),ce(n,function(){return n.activeTexture(n.TEXTURE0+t)}),ce(n,function(){return n.bindTexture(n.TEXTURE_2D,null)})}function E0(n,t,e){return $n(n,function(){return n.getUniformLocation(t,e)},'uniform "'+e+'" not present in program.')}function D0(n,t,e){return n.getUniformLocation(t,e)}function k0(n,t,e,i){ce(n,function(){return O0(n,t,i)}),ce(n,function(){return n.uniform1i(e,i)})}function i_(n){ce(n,function(){return n.bindFramebuffer(n.FRAMEBUFFER,null)}),ce(n,function(){return n.viewport(0,0,n.canvas.width,n.canvas.height)}),ce(n,function(){return n.scissor(0,0,n.canvas.width,n.canvas.height)})}function Uo(n,t,e){ce(n,function(){return n.bindFramebuffer(n.FRAMEBUFFER,e)}),ce(n,function(){return n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,t,0)})}function Od(n,t){ce(n,function(){return n.bindFramebuffer(n.FRAMEBUFFER,t)}),ce(n,function(){return n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,null,0)})}function ns(n){var t=n.checkFramebufferStatus(n.FRAMEBUFFER);if(t!==n.FRAMEBUFFER_COMPLETE)throw new Error("Error binding framebuffer: "+F0(n,t))}function F0(n,t){switch(t){case n.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_ATTACHMENT";case n.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT";case n.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"FRAMEBUFFER_INCOMPLETE_DIMENSIONS";case n.FRAMEBUFFER_UNSUPPORTED:return"FRAMEBUFFER_UNSUPPORTED";default:return"unknown error "+t}}function $n(n,t,e){var i=ce(n,function(){return t()});if(i==null)throw new Error(e);return i}function R0(n,t){var e=n.MAX_COMBINED_TEXTURE_IMAGE_UNITS-1,i=t+n.TEXTURE0;if(i<n.TEXTURE0||i>e){var r="[gl.TEXTURE0, gl.TEXTURE"+e+"]";throw new Error("textureUnit must be in "+r+".")}}function ar(n,t){return t===void 0&&(t=2),N.util.sizeFromShape(n.slice(0,n.length-t))}function sr(n){if(n.length===0)throw Error("Cannot get rows and columns of an empty shape array.");return[n.length>1?n[n.length-2]:1,n[n.length-1]]}function Bo(n){var t=[1,1,1],e=n.length===0||n.length===1&&n[0]===1;return e||(t=[ar(n)].concat(sr(n))),t}function W0(n,t){var e;t===void 0&&(t=!1);var i=N.env().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t&&(i=i*2,n=n.map(function(u,c){return c>=n.length-2?N.util.nearestLargerEven(n[c]):n[c]}),n.length===1&&(n=[2,n[0]])),n.length!==2){var r=N.util.squeezeShape(n);n=r.newShape}var a=N.util.sizeFromShape(n);if(n.length<=1&&a<=i)return[1,a];if(n.length===2&&n[0]<=i&&n[1]<=i)return n;if(n.length===3&&n[0]*n[1]<=i&&n[2]<=i)return[n[0]*n[1],n[2]];if(n.length===3&&n[0]<=i&&n[1]*n[2]<=i)return[n[0],n[1]*n[2]];if(n.length===4&&n[0]*n[1]*n[2]<=i&&n[3]<=i)return[n[0]*n[1]*n[2],n[3]];if(n.length===4&&n[0]<=i&&n[1]*n[2]*n[3]<=i)return[n[0],n[1]*n[2]*n[3]];if(t){var s=ar(n),o=2,l=2;return n.length&&(e=sr(n),o=e[0],l=e[1]),a=s*(o/2)*(l/2),N.util.sizeToSquarishShape(a).map(function(u){return u*2})}return N.util.sizeToSquarishShape(a)}function zo(n){return n%2===0}function is(n,t){if(n=n.slice(-2),t=t.slice(-2),N.util.arraysEqual(n,t))return!0;if(!n.length||!t.length)return!0;if(n[0]===0||n[1]===0||t[0]===0||t[1]===0)return!0;if(n.length!==t.length){var e=n.slice(-1)[0],i=t.slice(-1)[0];if(e===i)return!0;if(zo(e)&&zo(i)&&(n[0]===1||t[0]===1))return!0}return n[1]===t[1]&&zo(n[0])&&zo(t[0])}var Po,_o;function U0(n){if(Po==null){var t=Wn(n);Po=t.getParameter(t.MAX_TEXTURE_SIZE)}return Po}function r_(){Po=null}function a_(){_o=null}function B0(n){if(_o==null){var t=Wn(n);_o=t.getParameter(t.MAX_TEXTURE_IMAGE_UNITS)}return Math.min(16,_o)}function z0(n){if(n===0)return 0;var t,e=Wn(n);return tn(e,"EXT_disjoint_timer_query_webgl2")&&n===2?t=2:tn(e,"EXT_disjoint_timer_query")?t=1:t=0,t}function tn(n,t){var e=n.getExtension(t);return e!=null}function Ed(n){try{var t=Wn(n);if(t!=null)return!0}catch(e){return console.log("Error when getting WebGL context: ",e),!1}return!1}function P0(n){if(n===0)return!1;var t=Wn(n);if(n===1){if(!tn(t,"OES_texture_float"))return!1}else if(!tn(t,"EXT_color_buffer_float"))return!1;var e=Dd(t);return e}function _0(n){if(n===0)return!1;var t=Wn(n);if(n===1){if(!tn(t,"OES_texture_float"))return!1;if(!tn(t,"WEBGL_color_buffer_float"))return!1}else{if(tn(t,"EXT_color_buffer_float"))return Dd(t);var e="EXT_color_buffer_half_float";if(tn(t,e)){var i=t.getExtension(e);return s_(t,i)}return!1}var r=Dd(t);return r}function Dd(n){var t=Cd(n),e=n.createTexture();n.bindTexture(n.TEXTURE_2D,e);var i=1,r=1;n.texImage2D(n.TEXTURE_2D,0,t.internalFormatFloat,i,r,0,t.textureFormatFloat,t.textureTypeFloat,null);var a=n.createFramebuffer();n.bindFramebuffer(n.FRAMEBUFFER,a),n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,e,0);var s=n.checkFramebufferStatus(n.FRAMEBUFFER)===n.FRAMEBUFFER_COMPLETE;return n.bindTexture(n.TEXTURE_2D,null),n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteTexture(e),n.deleteFramebuffer(a),s}function s_(n,t){var e=Cd(n,t),i=n.createTexture();n.bindTexture(n.TEXTURE_2D,i);var r=1,a=1;n.texImage2D(n.TEXTURE_2D,0,e.internalFormatHalfFloat,r,a,0,e.textureFormatFloat,e.textureTypeHalfFloat,null);var s=n.createFramebuffer();n.bindFramebuffer(n.FRAMEBUFFER,s),n.framebufferTexture2D(n.FRAMEBUFFER,n.COLOR_ATTACHMENT0,n.TEXTURE_2D,i,0);var o=n.checkFramebufferStatus(n.FRAMEBUFFER)===n.FRAMEBUFFER_COMPLETE;return n.bindTexture(n.TEXTURE_2D,null),n.bindFramebuffer(n.FRAMEBUFFER,null),n.deleteTexture(i),n.deleteFramebuffer(s),o}function M0(n){if(n!==2)return!1;var t=Wn(n),e=t.fenceSync!=null;return e}function Jr(n,t){Array.isArray(n)||(n=[n]),n.forEach(function(e){e!=null&&N.util.assert(e.dtype!=="complex64",function(){return t+" does not support complex64 tensors in the WebGL backend."})})}var o_={__proto__:null,callAndCheck:ce,canBeRepresented:b0,getWebGLErrorMessage:y0,getExtensionOrThrow:ts,createVertexShader:w0,createFragmentShader:S0,createProgram:L0,linkProgram:I0,validateProgram:Wo,createStaticVertexBuffer:A0,createStaticIndexBuffer:T0,getNumChannels:t_,createTexture:N0,validateTextureSize:x0,createFramebuffer:C0,bindVertexBufferToProgramAttribute:Rd,bindTextureUnit:O0,unbindTextureUnit:n_,getProgramUniformLocationOrThrow:E0,getProgramUniformLocation:D0,bindTextureToProgramUniformSampler:k0,bindCanvasToFramebuffer:i_,bindColorTextureToFramebuffer:Uo,unbindColorTextureFromFramebuffer:Od,validateFramebuffer:ns,getFramebufferErrorMessage:F0,getBatchDim:ar,getRowsCols:sr,getShapeAs3D:Bo,getTextureShapeFromLogicalShape:W0,isReshapeFree:is,getWebGLMaxTextureSize:U0,resetMaxTextureSize:r_,resetMaxTexturesInShader:a_,getMaxTexturesInShader:B0,getWebGLDisjointQueryTimerVersion:z0,hasExtension:tn,isWebGLVersionEnabled:Ed,isCapableOfRenderingToFloatTexture:P0,isDownloadFloatTextureEnabled:_0,isWebGLFenceEnabled:M0,assertNotComplex:Jr};var Se=N.env();Se.registerFlag("HAS_WEBGL",function(){return Se.getNumber("WEBGL_VERSION")>0});Se.registerFlag("WEBGL_VERSION",function(){return Ed(2)?2:Ed(1)?1:0});Se.registerFlag("WEBGL_CHECK_NUMERICAL_PROBLEMS",function(){return!1});Se.registerFlag("WEBGL_BUFFER_SUPPORTED",function(){return Se.get("WEBGL_VERSION")===2});Se.registerFlag("WEBGL_CPU_FORWARD",function(){return!0});Se.registerFlag("WEBGL_FORCE_F16_TEXTURES",function(){return!1});Se.registerFlag("WEBGL_PACK",function(){return Se.getBool("HAS_WEBGL")});Se.registerFlag("WEBGL_PACK_NORMALIZATION",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_CLIP",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_DEPTHWISECONV",function(){return!1});Se.registerFlag("WEBGL_PACK_BINARY_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_UNARY_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_ARRAY_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_IMAGE_OPERATIONS",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_PACK_REDUCE",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_LAZILY_UNPACK",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_CONV_IM2COL",function(){return Se.getBool("WEBGL_PACK")});Se.registerFlag("WEBGL_MAX_TEXTURE_SIZE",function(){return U0(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_MAX_TEXTURES_IN_SHADER",function(){return B0(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION",function(){var n=Se.getNumber("WEBGL_VERSION");return n===0?0:z0(n)});Se.registerFlag("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE",function(){return Se.getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0&&!N.device_util.isMobile()});Se.registerFlag("WEBGL_RENDER_FLOAT32_CAPABLE",function(){return P0(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_RENDER_FLOAT32_ENABLED",function(){return Se.getBool("WEBGL_FORCE_F16_TEXTURES")?!1:Se.getBool("WEBGL_RENDER_FLOAT32_CAPABLE")});Se.registerFlag("WEBGL_DOWNLOAD_FLOAT_ENABLED",function(){return _0(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_FENCE_API_ENABLED",function(){return M0(Se.getNumber("WEBGL_VERSION"))});Se.registerFlag("WEBGL_SIZE_UPLOAD_UNIFORM",function(){var n=Se.getBool("WEBGL_RENDER_FLOAT32_ENABLED");return n?4:0});Se.registerFlag("WEBGL_DELETE_TEXTURE_THRESHOLD",function(){return-1},function(n){if(n<0&&n!==-1)throw new Error("WEBGL_DELETE_TEXTURE_THRESHOLD must be -1 (indicating never "+("delete) or at least 0, but got "+n+"."))});function l_(n){const t=new Float32Array(n.length);for(let e=0;e<n.length;++e)t[e]=Math.abs(n[e]);return t}function kd(n){return(t,e,i,r,a)=>{const s=N.backend_util.assertAndGetBroadcastShape(t,e),o=s.length,l=N.util.computeStrides(s),u=N.util.sizeFromShape(s),c=N.util.getTypedArrayFromDType(a,u),h=t.length,d=e.length,p=N.util.computeStrides(t),f=N.util.computeStrides(e),m=N.backend_util.getBroadcastDims(t,s),g=N.backend_util.getBroadcastDims(e,s);if(m.length+g.length===0)for(let v=0;v<c.length;++v)c[v]=n(i[v%i.length],r[v%r.length]);else for(let v=0;v<c.length;++v){const b=N.util.indexToLoc(v,o,l),w=b.slice(-h);m.forEach(C=>w[C]=0);const S=N.util.locToIndex(w,h,p),L=b.slice(-d);g.forEach(C=>L[C]=0);const x=N.util.locToIndex(L,d,f);c[v]=n(i[S],r[x])}return[c,s]}}const u_=kd((n,t)=>n+t);function Zr(n){return(t,e,i)=>{const r=N.util.getTypedArrayFromDType(e,t.length);for(let a=0;a<t.length;++a)r[a]=n(t[a],i);return r}}const c_=Zr(n=>Math.ceil(n));const h_=Zr(n=>Math.exp(n));const d_=Zr(n=>Math.expm1(n));const p_=Zr(n=>Math.floor(n));const f_=Zr(n=>Math.log(n));function m_(n,t,e,i){const r=N.util.getTypedArrayFromDType(i,N.util.sizeFromShape(e));for(let a=0;a<r.length;++a){const s=a*t;let o=n[s];for(let l=0;l<t;++l){const u=n[s+l];u>o&&(o=u)}r[a]=o}return r}const g_=kd((n,t)=>n*t);const v_=Zr(n=>1/Math.sqrt(n));function y_(n,t,e,i,r){const a=N.slice_util.isSliceContinous(i,t,e),s=N.util.sizeFromShape(e),o=N.util.computeStrides(i);if(a){const u=N.slice_util.computeFlatOffset(t,o);return n.subarray(u,u+s)}const l=N.util.getTypedArrayFromDType(r,s);for(let u=0;u<s;++u){const c=e.length,h=N.util.computeStrides(e),d=N.util.indexToLoc(u,c,h),p=d.map((m,g)=>m+t[g]),f=N.util.locToIndex(p,i.length,o);l[u]=n[f]}return l}const b_=kd((n,t)=>n-t);function w_(n,t,e,i,r){const a=t.length,s=N.util.sizeFromShape(t),o=N.util.computeStrides(t),l=N.util.computeStrides(r),u=N.util.getTypedArrayFromDType(e,N.util.sizeFromShape(r));for(let c=0;c<s;++c){const h=N.util.indexToLoc(c,a,o),d=new Array(h.length);for(let f=0;f<d.length;f++)d[f]=h[i[f]];const p=N.util.locToIndex(d,a,l);u[p]=n[c]}return u}function S_(n,t,e,i){const r=N.util.parseAxisParam(t,e)[0],a=[1,e[0],1];for(let f=0;f<r;f++)a[0]*=e[f];a[1]=e[r];for(let f=r+1;f<e.length;f++)a[2]*=e[f];const s={},o=new Int32Array(e[r]),l=new N.TensorBuffer(a,i,n),u=[],c=a[0]===1&&a[2]===1;for(let f=0;f<e[r];f++){let m;if(c)m=n[f].toString();else{const g=[];for(let v=0;v<a[0];v++)for(let b=0;b<a[2];b++)g.push(l.get(v,f,b));m=g.join(",")}if(s[m]!==void 0)o[f]=s[m];else{const g=Object.keys(s).length;s[m]=g,o[f]=g,u.push(f)}}const h=a.slice();h[1]=Object.keys(s).length;const d=new N.TensorBuffer(h,i);u.forEach((f,m)=>{for(let g=0;g<a[0];g++)for(let v=0;v<a[2];v++)d.set(l.get(g,f,v),g,m,v)});const p=e.slice();return p[r]=h[1],{outputValues:d.values,outputShape:p,indices:o}}var L_=l_,I_=u_,A_=c_,T_=h_,N_=d_,x_=p_,C_=f_,R_=m_,O_=g_,E_=v_,D_=y_,k_=b_,H0=w_,F_=S_;var W_=function(){function n(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map(function(a,s){return"T"+s});var i=[];this.variableNames.forEach(function(a){i.push("float v"+a+" = get"+a+"AtOutCoords();")});var r=this.variableNames.map(function(a){return"v"+a}).join(" + ");this.userCode=`
|
|
void main() {
|
|
`+i.join(`
|
|
`)+`
|
|
|
|
float result = `+r+`;
|
|
setOutput(result);
|
|
}
|
|
`}return n}();var U_=function(){function n(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map(function(a,s){return"T"+s});var i=[];this.variableNames.forEach(function(a){i.push("vec4 v"+a+" = get"+a+"AtOutCoords();")});var r=this.variableNames.map(function(a){return"v"+a}).join(" + ");this.userCode=`
|
|
void main() {
|
|
`+i.join(`
|
|
`)+`
|
|
|
|
vec4 result = `+r+`;
|
|
setOutput(result);
|
|
}
|
|
`}return n}();var B_=function(){function n(t,e,i){this.variableNames=["A"];var r=t.windowSize,a=t.batchSize,s=t.outSize;i||this.variableNames.push("bestIndicesA"),this.outputShape=[a,s];var o=e==="max"?">":"<",l=i?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode=`
|
|
void main() {
|
|
ivec2 coords = getOutputCoords();
|
|
int batch = coords[0];
|
|
int outIdx = coords[1];
|
|
int inOffset = outIdx * `+r+`;
|
|
|
|
int bestIndex = inOffset;
|
|
float bestValue = getA(batch, bestIndex);
|
|
|
|
for (int i = 0; i < `+r+`; i++) {
|
|
int inIdx = `+l+`;
|
|
float candidate = getA(batch, inIdx);
|
|
if (candidate `+o+` bestValue) {
|
|
bestValue = candidate;
|
|
bestIndex = inIdx;
|
|
}
|
|
}
|
|
setOutput(float(bestIndex));
|
|
}
|
|
`}return n}();function V0(n,t){return["x","y","z","w","u","v"].slice(0,t).map(function(e){return n+"."+e})}function jt(n,t){return t===1?[n]:V0(n,t)}function z_(n,t){if(n===1)return"rc";for(var e="",i=0;i<n;i++)e+=t[i],i<n-1&&(e+=",");return e}function Dt(){var n,t,e,i,r,a,s,o,l,u;return N.env().getNumber("WEBGL_VERSION")===2?(n="#version 300 es",t="in",e="out",i="in",r="texture",a="outputColor",s="out vec4 outputColor;",o=`
|
|
bool isnan_custom(float val) {
|
|
return (val > 0.0 || val < 0.0) ? false : val != 0.0;
|
|
}
|
|
|
|
bvec4 isnan_custom(vec4 val) {
|
|
return bvec4(isnan_custom(val.x),
|
|
isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));
|
|
}
|
|
|
|
#define isnan(value) isnan_custom(value)
|
|
`,l="",u=`
|
|
#define round(value) newRound(value)
|
|
int newRound(float value) {
|
|
return int(floor(value + 0.5));
|
|
}
|
|
|
|
ivec4 newRound(vec4 value) {
|
|
return ivec4(floor(value + vec4(0.5)));
|
|
}
|
|
`):(n="",t="attribute",e="varying",i="varying",r="texture2D",a="gl_FragColor",s="",o=`
|
|
#define isnan(value) isnan_custom(value)
|
|
bool isnan_custom(float val) {
|
|
return (val > 0. || val < 1. || val == 0.) ? false : true;
|
|
}
|
|
bvec4 isnan_custom(vec4 val) {
|
|
return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));
|
|
}
|
|
`,l=`
|
|
uniform float INFINITY;
|
|
|
|
bool isinf(float val) {
|
|
return abs(val) == INFINITY;
|
|
}
|
|
bvec4 isinf(vec4 val) {
|
|
return equal(abs(val), vec4(INFINITY));
|
|
}
|
|
`,u=`
|
|
int round(float value) {
|
|
return int(floor(value + 0.5));
|
|
}
|
|
|
|
ivec4 round(vec4 value) {
|
|
return ivec4(floor(value + vec4(0.5)));
|
|
}
|
|
`),{version:n,attribute:t,varyingVs:e,varyingFs:i,texture2D:r,output:a,defineOutput:s,defineSpecialNaN:o,defineSpecialInf:l,defineRound:u}}function or(n,t,e){e===void 0&&(e="index");var i=N.util.computeStrides(t);return i.map(function(r,a){var s="int "+n[a]+" = "+e+" / "+r,o=a===i.length-1?"int "+n[a+1]+" = "+e+" - "+n[a]+" * "+r:"index -= "+n[a]+" * "+r;return s+"; "+o+";"}).join("")}function Fd(n){var t=N.util.computeStrides(n).map(function(e){return e.toString()});return`
|
|
int getFlatIndex(ivec3 coords) {
|
|
return coords.x * `+t[0]+" + coords.y * "+t[1]+` + coords.z;
|
|
}
|
|
`}var q0=`
|
|
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;
|
|
}
|
|
`;var G0=N.backend_util.getBroadcastDims;function K_(n,t,e,i){var r=[];n.forEach(function(f){var m=N.util.sizeFromShape(f.shapeInfo.logicalShape);f.shapeInfo.isUniform?r.push("uniform float "+f.name+(m>1?"["+m+"]":"")+";"):(r.push("uniform sampler2D "+f.name+";"),r.push("uniform int offset"+f.name+";"))});var a=r.join(`
|
|
`),s=n.map(function(f){return P_(f,t,i)}).join(`
|
|
`),o=t.texShape,l=Dt(),u=H_(l),c,h,d=G_(l);t.isPacked?(c=__(t.logicalShape,o),h=q_(l)):(c=M_(t.logicalShape,o),h=V_(l)),i&&(d+=Y_);var p=[d,u,h,a,c,s,e].join(`
|
|
`);return p}function Qr(n){var t=n.shapeInfo.logicalShape;switch(t.length){case 0:return j_(n);case 1:return $_(n);case 2:return X_(n);case 3:return J_(n);case 4:return Z_(n);case 5:return Q_(n);case 6:return eM(n);default:throw new Error(t.length+"-D input sampling is not yet supported")}}function Y0(n){var t=n.shapeInfo.logicalShape;switch(t.length){case 0:return tM(n);case 1:return nM(n);case 2:return iM(n);case 3:return rM(n);default:return aM(n)}}function P_(n,t,e){e===void 0&&(e=!1);var i="";e?i+=Y0(n):i+=Qr(n);var r=n.shapeInfo.logicalShape,a=t.logicalShape;return r.length<=a.length&&(e?i+=sM(n,t):i+=oM(n,t)),i}function __(n,t){switch(n.length){case 0:return K0();case 1:return lM(n,t);case 2:return hM(n,t);case 3:return uM(n,t);default:return cM(n,t)}}function M_(n,t){switch(n.length){case 0:return K0();case 1:return dM(n,t);case 2:return vM(n,t);case 3:return pM(n,t);case 4:return fM(n,t);case 5:return mM(n,t);case 6:return gM(n,t);default:throw new Error(n.length+"-D output sampling is not yet supported")}}function H_(n){return`
|
|
float sampleTexture(sampler2D textureSampler, vec2 uv) {
|
|
return `+n.texture2D+`(textureSampler, uv).r;
|
|
}
|
|
`}function V_(n){return`
|
|
void setOutput(float val) {
|
|
`+n.output+` = vec4(val, 0, 0, 0);
|
|
}
|
|
`}function q_(n){return`
|
|
void setOutput(vec4 val) {
|
|
`+n.output+` = val;
|
|
}
|
|
`}function G_(n){var t=n.version+`
|
|
precision highp float;
|
|
precision highp int;
|
|
precision highp sampler2D;
|
|
`+n.varyingFs+` vec2 resultUV;
|
|
`+n.defineOutput+`
|
|
const vec2 halfCR = vec2(0.5, 0.5);
|
|
|
|
struct ivec5
|
|
{
|
|
int x;
|
|
int y;
|
|
int z;
|
|
int w;
|
|
int u;
|
|
};
|
|
|
|
struct ivec6
|
|
{
|
|
int x;
|
|
int y;
|
|
int z;
|
|
int w;
|
|
int u;
|
|
int v;
|
|
};
|
|
|
|
uniform float NAN;
|
|
`+n.defineSpecialNaN+`
|
|
`+n.defineSpecialInf+`
|
|
`+n.defineRound+`
|
|
|
|
int imod(int x, int y) {
|
|
return x - y * (x / y);
|
|
}
|
|
|
|
int idiv(int a, int b, float sign) {
|
|
int res = a / b;
|
|
int mod = imod(a, b);
|
|
if (sign < 0. && mod != 0) {
|
|
res -= 1;
|
|
}
|
|
return res;
|
|
}
|
|
|
|
//Based on the work of Dave Hoskins
|
|
//https://www.shadertoy.com/view/4djSRW
|
|
#define HASHSCALE1 443.8975
|
|
float random(float seed){
|
|
vec2 p = resultUV * seed;
|
|
vec3 p3 = fract(vec3(p.xyx) * HASHSCALE1);
|
|
p3 += dot(p3, p3.yzx + 19.19);
|
|
return fract((p3.x + p3.y) * p3.z);
|
|
}
|
|
|
|
`+yM+`
|
|
`+bM+`
|
|
`+wM+`
|
|
`;return t}var yM=`
|
|
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);
|
|
}
|
|
`,bM=`
|
|
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);
|
|
}
|
|
`,wM=`
|
|
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);
|
|
}
|
|
`,Y_=`
|
|
float getChannel(vec4 frag, vec2 innerDims) {
|
|
vec2 modCoord = mod(innerDims, 2.);
|
|
return modCoord.x == 0. ?
|
|
(modCoord.y == 0. ? frag.r : frag.g) :
|
|
(modCoord.y == 0. ? frag.b : frag.a);
|
|
}
|
|
float getChannel(vec4 frag, int dim) {
|
|
float modCoord = mod(float(dim), 2.);
|
|
return modCoord == 0. ? frag.r : frag.g;
|
|
}
|
|
`;function K0(){return`
|
|
int getOutputCoords() {
|
|
return 0;
|
|
}
|
|
`}function lM(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];return e[0]===1?`
|
|
int getOutputCoords() {
|
|
return 2 * int(resultUV.x * `+e[1]+`.0);
|
|
}
|
|
`:e[1]===1?`
|
|
int getOutputCoords() {
|
|
return 2 * int(resultUV.y * `+e[0]+`.0);
|
|
}
|
|
`:`
|
|
int getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+e[0]+", "+e[1]+`));
|
|
return 2 * (resTexRC.x * `+e[1]+` + resTexRC.y);
|
|
}
|
|
`}function dM(n,t){return t[0]===1?`
|
|
int getOutputCoords() {
|
|
return int(resultUV.x * `+t[1]+`.0);
|
|
}
|
|
`:t[1]===1?`
|
|
int getOutputCoords() {
|
|
return int(resultUV.y * `+t[0]+`.0);
|
|
}
|
|
`:`
|
|
int getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+t[0]+", "+t[1]+`));
|
|
return resTexRC.x * `+t[1]+` + resTexRC.y;
|
|
}
|
|
`}function uM(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],i=Math.ceil(n[2]/2),r=i*Math.ceil(n[1]/2);return`
|
|
ivec3 getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+e[0]+", "+e[1]+`));
|
|
int index = resTexRC.x * `+e[1]+` + resTexRC.y;
|
|
|
|
int b = index / `+r+`;
|
|
index -= b * `+r+`;
|
|
|
|
int r = 2 * (index / `+i+`);
|
|
int c = imod(index, `+i+`) * 2;
|
|
|
|
return ivec3(b, r, c);
|
|
}
|
|
`}function pM(n,t){var e=or(["r","c","d"],n);return`
|
|
ivec3 getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+t[0]+", "+t[1]+`));
|
|
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
|
|
`+e+`
|
|
return ivec3(r, c, d);
|
|
}
|
|
`}function cM(n,t){for(var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],i=Math.ceil(n[n.length-1]/2),r=i*Math.ceil(n[n.length-2]/2),a=r,s="",o="b, r, c",l=2;l<n.length-1;l++)a*=n[n.length-l-1],s=`
|
|
int b`+l+" = index / "+a+`;
|
|
index -= b`+l+" * "+a+`;
|
|
`+s,o="b"+l+", "+o;return`
|
|
ivec`+n.length+` getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+e[0]+", "+e[1]+`));
|
|
int index = resTexRC.x * `+e[1]+` + resTexRC.y;
|
|
|
|
`+s+`
|
|
|
|
int b = index / `+r+`;
|
|
index -= b * `+r+`;
|
|
|
|
int r = 2 * (index / `+i+`);
|
|
int c = imod(index, `+i+`) * 2;
|
|
|
|
return ivec`+n.length+"("+o+`);
|
|
}
|
|
`}function fM(n,t){var e=or(["r","c","d","d2"],n);return`
|
|
ivec4 getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+t[0]+", "+t[1]+`));
|
|
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
|
|
`+e+`
|
|
return ivec4(r, c, d, d2);
|
|
}
|
|
`}function mM(n,t){var e=or(["r","c","d","d2","d3"],n);return`
|
|
ivec5 getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx * vec2(`+t[0]+`,
|
|
`+t[1]+`));
|
|
|
|
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
|
|
|
|
`+e+`
|
|
|
|
ivec5 outShape = ivec5(r, c, d, d2, d3);
|
|
return outShape;
|
|
}
|
|
`}function gM(n,t){var e=or(["r","c","d","d2","d3","d4"],n);return`
|
|
ivec6 getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+t[0]+", "+t[1]+`));
|
|
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
|
|
|
|
`+e+`
|
|
|
|
ivec6 result = ivec6(r, c, d, d2, d3, d4);
|
|
return result;
|
|
}
|
|
`}function hM(n,t){var e=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(N.util.arraysEqual(n,t))return`
|
|
ivec2 getOutputCoords() {
|
|
return 2 * ivec2(resultUV.yx * vec2(`+e[0]+", "+e[1]+`));
|
|
}
|
|
`;var i=Math.ceil(n[1]/2);return`
|
|
ivec2 getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+e[0]+", "+e[1]+`));
|
|
|
|
int index = resTexRC.x * `+e[1]+` + resTexRC.y;
|
|
int r = 2 * (index / `+i+`);
|
|
int c = imod(index, `+i+`) * 2;
|
|
|
|
return ivec2(r, c);
|
|
}
|
|
`}function vM(n,t){return N.util.arraysEqual(n,t)?`
|
|
ivec2 getOutputCoords() {
|
|
return ivec2(resultUV.yx * vec2(`+t[0]+", "+t[1]+`));
|
|
}
|
|
`:n[1]===1?`
|
|
ivec2 getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+t[0]+", "+t[1]+`));
|
|
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
|
|
return ivec2(index, 0);
|
|
}
|
|
`:n[0]===1?`
|
|
ivec2 getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+t[0]+", "+t[1]+`));
|
|
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
|
|
return ivec2(0, index);
|
|
}
|
|
`:`
|
|
ivec2 getOutputCoords() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+t[0]+", "+t[1]+`));
|
|
int index = resTexRC.x * `+t[1]+` + resTexRC.y;
|
|
int r = index / `+n[1]+`;
|
|
int c = index - r * `+n[1]+`;
|
|
return ivec2(r, c);
|
|
}
|
|
`}function lr(n){return"offset"+n}function tM(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),i=Dt();return`
|
|
vec4 `+e+`() {
|
|
return `+i.texture2D+"("+t+`, halfCR);
|
|
}
|
|
`}function j_(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1);if(n.shapeInfo.isUniform)return"float "+e+"() {return "+t+";}";var i=n.shapeInfo.texShape,r=i[0],a=i[1];if(r===1&&a===1)return`
|
|
float `+e+`() {
|
|
return sampleTexture(`+t+`, halfCR);
|
|
}
|
|
`;var s=n.shapeInfo.texShape,o=s[0],l=s[1],u=lr(t);return`
|
|
float `+e+`() {
|
|
vec2 uv = uvFromFlat(`+o+", "+l+", "+u+`);
|
|
return sampleTexture(`+t+`, uv);
|
|
}
|
|
`}function nM(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1),i=n.shapeInfo.texShape,r=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],a=Dt();return`
|
|
vec4 `+e+`(int index) {
|
|
vec2 uv = packedUVfrom1D(
|
|
`+r[0]+", "+r[1]+`, index);
|
|
return `+a.texture2D+"("+t+`, uv);
|
|
}
|
|
`}function $_(n){var t=n.name,e="get"+t.charAt(0).toUpperCase()+t.slice(1);if(n.shapeInfo.isUniform)return`
|
|
float `+e+`(int index) {
|
|
`+ea(n)+`
|
|
}
|
|
`;var i=n.shapeInfo.texShape,r=i[0],a=i[1];if(a===1&&r===1)return`
|
|
float `+e+`(int index) {
|
|
return sampleTexture(`+t+`, halfCR);
|
|
}
|
|
`;var s=lr(t);return a===1?`
|
|
float `+e+`(int index) {
|
|
vec2 uv = vec2(0.5, (float(index + `+s+") + 0.5) / "+r+`.0);
|
|
return sampleTexture(`+t+`, uv);
|
|
}
|
|
`:r===1?`
|
|
float `+e+`(int index) {
|
|
vec2 uv = vec2((float(index + `+s+") + 0.5) / "+a+`.0, 0.5);
|
|
return sampleTexture(`+t+`, uv);
|
|
}
|
|
`:`
|
|
float `+e+`(int index) {
|
|
vec2 uv = uvFromFlat(`+r+", "+a+", index + "+s+`);
|
|
return sampleTexture(`+t+`, uv);
|
|
}
|
|
`}function iM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=n.shapeInfo.texShape,a=r[0],s=r[1],o=Dt();if(r!=null&&N.util.arraysEqual(t,r))return`
|
|
vec4 `+i+`(int row, int col) {
|
|
vec2 uv = (vec2(col, row) + halfCR) / vec2(`+s+".0, "+a+`.0);
|
|
|
|
return `+o.texture2D+"("+e+`, uv);
|
|
}
|
|
`;var l=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],u=Math.ceil(t[1]/2);return`
|
|
vec4 `+i+`(int row, int col) {
|
|
vec2 uv = packedUVfrom2D(`+u+", "+l[0]+", "+l[1]+`, row, col);
|
|
return `+o.texture2D+"("+e+`, uv);
|
|
}
|
|
`}function X_(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=n.shapeInfo.texShape;if(r!=null&&N.util.arraysEqual(t,r)){var a=r[0],s=r[1];return`
|
|
float `+i+`(int row, int col) {
|
|
vec2 uv = (vec2(col, row) + halfCR) / vec2(`+s+".0, "+a+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`}var o=N.util.squeezeShape(t),l=o.newShape,u=o.keptDims,c=l;if(c.length<t.length){var h=ta(n,c),d=["row","col"];return`
|
|
`+Qr(h)+`
|
|
float `+i+`(int row, int col) {
|
|
return `+i+"("+na(d,u)+`);
|
|
}
|
|
`}if(n.shapeInfo.isUniform)return`
|
|
float `+i+`(int row, int col) {
|
|
int index = round(dot(vec2(row, col), vec2(`+t[1]+`, 1)));
|
|
`+ea(n)+`
|
|
}
|
|
`;var p=r[0],f=r[1],m=lr(e);return f===1?`
|
|
float `+i+`(int row, int col) {
|
|
float index = dot(vec3(row, col, `+m+"), vec3("+t[1]+`, 1, 1));
|
|
vec2 uv = vec2(0.5, (index + 0.5) / `+p+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`:p===1?`
|
|
float `+i+`(int row, int col) {
|
|
float index = dot(vec3(row, col, `+m+"), vec3("+t[1]+`, 1, 1));
|
|
vec2 uv = vec2((index + 0.5) / `+f+`.0, 0.5);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`:`
|
|
float `+i+`(int row, int col) {
|
|
// Explicitly use integer operations as dot() only works on floats.
|
|
int index = row * `+t[1]+" + col + "+m+`;
|
|
vec2 uv = uvFromFlat(`+p+", "+f+`, index);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`}function rM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=n.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)];if(t[0]===1){var s=t.slice(1),o=[1,2],l=ta(n,s),u=["b","row","col"];return`
|
|
`+Y0(l)+`
|
|
vec4 `+i+`(int b, int row, int col) {
|
|
return `+i+"("+na(u,o)+`);
|
|
}
|
|
`}var c=a[0],h=a[1],d=Math.ceil(t[2]/2),p=d*Math.ceil(t[1]/2),f=Dt();return`
|
|
vec4 `+i+`(int b, int row, int col) {
|
|
vec2 uv = packedUVfrom3D(
|
|
`+c+", "+h+", "+p+", "+d+`, b, row, col);
|
|
return `+f.texture2D+"("+e+`, uv);
|
|
}
|
|
`}function J_(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t[1]*t[2],a=t[2],s=N.util.squeezeShape(t),o=s.newShape,l=s.keptDims,u=o;if(u.length<t.length){var c=ta(n,u),h=["row","col","depth"];return`
|
|
`+Qr(c)+`
|
|
float `+i+`(int row, int col, int depth) {
|
|
return `+i+"("+na(h,l)+`);
|
|
}
|
|
`}if(n.shapeInfo.isUniform)return`
|
|
float `+i+`(int row, int col, int depth) {
|
|
int index = round(dot(vec3(row, col, depth),
|
|
vec3(`+r+", "+a+`, 1)));
|
|
`+ea(n)+`
|
|
}
|
|
`;var d=n.shapeInfo.texShape,p=d[0],f=d[1],m=n.shapeInfo.flatOffset;if(f===r&&m==null)return`
|
|
float `+i+`(int row, int col, int depth) {
|
|
float texR = float(row);
|
|
float texC = dot(vec2(col, depth), vec2(`+a+`, 1));
|
|
vec2 uv = (vec2(texC, texR) + halfCR) /
|
|
vec2(`+f+".0, "+p+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`;if(f===a&&m==null)return`
|
|
float `+i+`(int row, int col, int depth) {
|
|
float texR = dot(vec2(row, col), vec2(`+t[1]+`, 1));
|
|
float texC = float(depth);
|
|
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+f+".0, "+p+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`;var g=lr(e);return`
|
|
float `+i+`(int row, int col, int depth) {
|
|
// Explicitly use integer operations as dot() only works on floats.
|
|
int index = row * `+r+" + col * "+a+" + depth + "+g+`;
|
|
vec2 uv = uvFromFlat(`+p+", "+f+`, index);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`}function aM(n){for(var t=n.shapeInfo.logicalShape,e=t.length,i=n.name,r="get"+i.charAt(0).toUpperCase()+i.slice(1),a=n.shapeInfo.texShape,s=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],o=s[0],l=s[1],u=Math.ceil(t[e-1]/2),c=u*Math.ceil(t[e-2]/2),h="int b, int row, int col",d="b * "+c+" + (row / 2) * "+u+" + (col / 2)",p=2;p<e-1;p++)h="int b"+p+", "+h,c*=t[e-p-1],d="b"+p+" * "+c+" + "+d;var f=Dt();return`
|
|
vec4 `+r+"("+h+`) {
|
|
int index = `+d+`;
|
|
int texR = index / `+l+`;
|
|
int texC = index - texR * `+l+`;
|
|
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+l+", "+o+`);
|
|
return `+f.texture2D+"("+i+`, uv);
|
|
}
|
|
`}function Z_(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t[3],a=t[2]*r,s=t[1]*a,o=N.util.squeezeShape(t),l=o.newShape,u=o.keptDims;if(l.length<t.length){var c=ta(n,l),h=["row","col","depth","depth2"];return`
|
|
`+Qr(c)+`
|
|
float `+i+`(int row, int col, int depth, int depth2) {
|
|
return `+i+"("+na(h,u)+`);
|
|
}
|
|
`}if(n.shapeInfo.isUniform)return`
|
|
float `+i+`(int row, int col, int depth, int depth2) {
|
|
int index = round(dot(vec4(row, col, depth, depth2),
|
|
vec4(`+s+", "+a+", "+r+`, 1)));
|
|
`+ea(n)+`
|
|
}
|
|
`;var d=n.shapeInfo.flatOffset,p=n.shapeInfo.texShape,f=p[0],m=p[1];if(m===s&&d==null)return`
|
|
float `+i+`(int row, int col, int depth, int depth2) {
|
|
float texR = float(row);
|
|
float texC =
|
|
dot(vec3(col, depth, depth2),
|
|
vec3(`+a+", "+r+`, 1));
|
|
vec2 uv = (vec2(texC, texR) + halfCR) /
|
|
vec2(`+m+".0, "+f+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`;if(m===r&&d==null)return`
|
|
float `+i+`(int row, int col, int depth, int depth2) {
|
|
float texR = dot(vec3(row, col, depth),
|
|
vec3(`+t[1]*t[2]+", "+t[2]+`, 1));
|
|
float texC = float(depth2);
|
|
vec2 uv = (vec2(texC, texR) + halfCR) /
|
|
vec2(`+m+".0, "+f+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`;var g=lr(e);return`
|
|
float `+i+`(int row, int col, int depth, int depth2) {
|
|
// Explicitly use integer operations as dot() only works on floats.
|
|
int index = row * `+s+" + col * "+a+` +
|
|
depth * `+r+` + depth2;
|
|
vec2 uv = uvFromFlat(`+f+", "+m+", index + "+g+`);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`}function Q_(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t[4],a=t[3]*r,s=t[2]*a,o=t[1]*s,l=N.util.squeezeShape(t),u=l.newShape,c=l.keptDims;if(u.length<t.length){var h=ta(n,u),d=["row","col","depth","depth2","depth3"];return`
|
|
`+Qr(h)+`
|
|
float `+i+`(int row, int col, int depth, int depth2, int depth3) {
|
|
return `+i+"("+na(d,c)+`);
|
|
}
|
|
`}if(n.shapeInfo.isUniform)return`
|
|
float `+i+`(int row, int col, int depth, int depth2, int depth3) {
|
|
float index = dot(
|
|
vec4(row, col, depth, depth2),
|
|
vec4(`+o+", "+s+", "+a+", "+r+`)) +
|
|
depth3;
|
|
`+ea(n)+`
|
|
}
|
|
`;var p=n.shapeInfo.flatOffset,f=n.shapeInfo.texShape,m=f[0],g=f[1];if(g===o&&p==null)return`
|
|
float `+i+`(int row, int col, int depth, int depth2, int depth3) {
|
|
int texR = row;
|
|
float texC = dot(vec4(col, depth, depth2, depth3),
|
|
vec4(`+s+", "+a+", "+r+`, 1));
|
|
vec2 uv = (vec2(texC, texR) + halfCR) /
|
|
vec2(`+g+".0, "+m+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`;if(g===r&&p==null)return`
|
|
float `+i+`(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(`+g+".0, "+m+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`;var v=lr(e);return`
|
|
float `+i+`(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 * "+s+" + depth * "+a+` +
|
|
depth2 * `+r+" + depth3 + "+v+`;
|
|
vec2 uv = uvFromFlat(`+m+", "+g+`, index);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`}function eM(n){var t=n.shapeInfo.logicalShape,e=n.name,i="get"+e.charAt(0).toUpperCase()+e.slice(1),r=N.util.squeezeShape(t),a=r.newShape,s=r.keptDims;if(a.length<t.length){var o=ta(n,a),l=["row","col","depth","depth2","depth3","depth4"];return`
|
|
`+Qr(o)+`
|
|
float `+i+`(int row, int col, int depth,
|
|
int depth2, int depth3, int depth4) {
|
|
return `+i+"("+na(l,s)+`);
|
|
}
|
|
`}var u=t[5],c=t[4]*u,h=t[3]*c,d=t[2]*h,p=t[1]*d;if(n.shapeInfo.isUniform)return`
|
|
float `+i+`(int row, int col, int depth,
|
|
int depth2, int depth3, int depth4) {
|
|
int index = round(dot(
|
|
vec4(row, col, depth, depth2),
|
|
vec4(`+p+", "+d+", "+h+", "+c+`)) +
|
|
dot(
|
|
vec2(depth3, depth4),
|
|
vec2(`+u+`, 1)));
|
|
`+ea(n)+`
|
|
}
|
|
`;var f=n.shapeInfo.flatOffset,m=n.shapeInfo.texShape,g=m[0],v=m[1];if(v===p&&f==null)return`
|
|
float `+i+`(int row, int col, int depth,
|
|
int depth2, int depth3, int depth4) {
|
|
int texR = row;
|
|
float texC = dot(vec4(col, depth, depth2, depth3),
|
|
vec4(`+d+", "+h+", "+c+", "+u+`)) +
|
|
float(depth4);
|
|
vec2 uv = (vec2(texC, texR) + halfCR) /
|
|
vec2(`+v+".0, "+g+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`;if(v===u&&f==null)return`
|
|
float `+i+`(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(`+v+".0, "+g+`.0);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`;var b=lr(e);return`
|
|
float `+i+`(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 * "+d+" + depth * "+h+` +
|
|
depth2 * `+c+" + depth3 * "+u+" + depth4 + "+b+`;
|
|
vec2 uv = uvFromFlat(`+g+", "+v+`, index);
|
|
return sampleTexture(`+e+`, uv);
|
|
}
|
|
`}function ea(n){var t=n.name,e=N.util.sizeFromShape(n.shapeInfo.logicalShape);return e<2?"return "+t+";":`
|
|
for (int i = 0; i < `+e+`; i++) {
|
|
if (i == index) {
|
|
return `+t+`[i];
|
|
}
|
|
}
|
|
`}function sM(n,t){var e=n.name,i=e.charAt(0).toUpperCase()+e.slice(1),r="get"+i+"AtOutCoords",a=n.shapeInfo.logicalShape.length,s=t.logicalShape.length,o=G0(n.shapeInfo.logicalShape,t.logicalShape),l=Je(s),u=s-a,c,h=["x","y","z","w","u","v"];a===0?c="":s<2&&o.length>=1?c="coords = 0;":c=o.map(function(S){return"coords."+h[S+u]+" = 0;"}).join(`
|
|
`);var d="";s<2&&a>0?d="coords":d=n.shapeInfo.logicalShape.map(function(S,L){return"coords."+h[L+u]}).join(", ");var p="return outputValue;",f=N.util.sizeFromShape(n.shapeInfo.logicalShape),m=f===1,g=N.util.sizeFromShape(t.logicalShape),v=g===1;if(a===1&&!m&&!v)p=`
|
|
return vec4(outputValue.xy, outputValue.xy);
|
|
`;else if(m&&!v)s===1?p=`
|
|
return vec4(outputValue.x, outputValue.x, 0., 0.);
|
|
`:p=`
|
|
return vec4(outputValue.x);
|
|
`;else if(o.length){var b=a-2,w=a-1;o.indexOf(b)>-1&&o.indexOf(w)>-1?p="return vec4(outputValue.x);":o.indexOf(b)>-1?p="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":o.indexOf(w)>-1&&(p="return vec4(outputValue.xx, outputValue.zz);")}return`
|
|
vec4 `+r+`() {
|
|
`+l+` coords = getOutputCoords();
|
|
`+c+`
|
|
vec4 outputValue = get`+i+"("+d+`);
|
|
`+p+`
|
|
}
|
|
`}function oM(n,t){var e=n.name,i=e.charAt(0).toUpperCase()+e.slice(1),r="get"+i+"AtOutCoords",a=t.texShape,s=n.shapeInfo.texShape,o=n.shapeInfo.logicalShape.length,l=t.logicalShape.length;if(!n.shapeInfo.isUniform&&o===l&&n.shapeInfo.flatOffset==null&&N.util.arraysEqual(s,a))return`
|
|
float `+r+`() {
|
|
return sampleTexture(`+e+`, resultUV);
|
|
}
|
|
`;var u=Je(l),c=G0(n.shapeInfo.logicalShape,t.logicalShape),h=l-o,d,p=["x","y","z","w","u","v"];o===0?d="":l<2&&c.length>=1?d="coords = 0;":d=c.map(function(m){return"coords."+p[m+h]+" = 0;"}).join(`
|
|
`);var f="";return l<2&&o>0?f="coords":f=n.shapeInfo.logicalShape.map(function(m,g){return"coords."+p[g+h]}).join(", "),`
|
|
float `+r+`() {
|
|
`+u+` coords = getOutputCoords();
|
|
`+d+`
|
|
return get`+i+"("+f+`);
|
|
}
|
|
`}function Je(n){if(n<=1)return"int";if(n===2)return"ivec2";if(n===3)return"ivec3";if(n===4)return"ivec4";if(n===5)return"ivec5";if(n===6)return"ivec6";throw Error("GPU for rank "+n+" is not yet supported")}function ta(n,t){var e=JSON.parse(JSON.stringify(n));return e.shapeInfo.logicalShape=t,e}function na(n,t){return t.map(function(e){return n[e]}).join(", ")}var SM=function(){function n(t,e,i,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,N.util.assert(t.length>2,function(){return"Packed arg"+(i.charAt(0).toUpperCase()+i.slice(1))+" supports only inputs with rank above 2."});var a=t[t.length-1],s=Math.ceil(a/e);this.outputShape=t.slice(0,-1),s>1&&this.outputShape.push(s),r||this.variableNames.push("bestIndicesA");var o=this.outputShape,l=o.length,u=Je(l),c=jt("coords",l),h,d;if(s===1){d=l+1;var p=Je(d);h=`
|
|
`+p+" sourceLocR = "+p+"("+c.join()+`, 0);
|
|
++`+c[l-1]+`;
|
|
`+p+" sourceLocG = "+p+"("+c.join()+`, 0);
|
|
++`+c[l-2]+`;
|
|
`+p+" sourceLocA = "+p+"("+c.join()+`, 0);
|
|
--`+c[l-1]+`;
|
|
`+p+" sourceLocB = "+p+"("+c.join()+`, 0);
|
|
--`+c[l-2]+";"}else d=l,h=`
|
|
`+u+` sourceLocR = coords;
|
|
++`+c[l-1]+`;
|
|
`+u+` sourceLocG = coords;
|
|
++`+c[l-2]+`;
|
|
`+u+` sourceLocA = coords;
|
|
--`+c[l-1]+`;
|
|
`+u+` sourceLocB = coords;
|
|
--`+c[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,d),m="."+f[d-1],g=f.map(function(D){return"int "+D}),v=jt("sourceLocR",d-1).concat("inIdx.r"),b=jt("sourceLocG",d-1).concat("inIdx.g"),w=jt("sourceLocB",d-1).concat("inIdx.b"),S=jt("sourceLocA",d-1).concat("inIdx.a"),L=i==="max"?"greaterThan":"lessThan",x=r?"":`
|
|
inIdx = round(vec4(getBestIndicesAChannel(`+v.join()+`),
|
|
getBestIndicesAChannel(`+b.join()+`),
|
|
getBestIndicesAChannel(`+w.join()+`),
|
|
getBestIndicesAChannel(`+S.join()+")));",C=`vec4(
|
|
getAChannel(`+v.join()+`),
|
|
hasNextCol ? getAChannel(`+b.join()+`) : 0.,
|
|
hasNextRow ? getAChannel(`+w.join()+`) : 0.,
|
|
hasNextRow && hasNextCol ? getAChannel(`+S.join()+") : 0.)",R=r?"":`
|
|
float getBestIndicesAChannel(`+g.join()+`) {
|
|
return getChannel(getBestIndicesA(`+f.join()+`),
|
|
vec2(`+f.slice(-2).join()+`));
|
|
}`;this.userCode=`
|
|
float getAChannel(`+g.join()+`) {
|
|
return getChannel(getA(`+f.join()+`),
|
|
vec2(`+f.slice(-2).join()+`));
|
|
}
|
|
`+R+`
|
|
void main() {
|
|
`+u+` coords = getOutputCoords();
|
|
bool hasNextCol = `+c[l-1]+" < "+(o[l-1]-1)+`;
|
|
bool hasNextRow = `+c[l-2]+" < "+(o[l-2]-1)+`;
|
|
`+h+`
|
|
ivec4 srcIdx = ivec4(sourceLocR`+m+", sourceLocG"+m+`,
|
|
sourceLocB`+m+", sourceLocA"+m+") * "+e+`;
|
|
ivec4 inIdx = srcIdx;
|
|
vec4 bestIndex = vec4(inIdx);
|
|
vec4 bestValue = `+C+`;
|
|
|
|
for (int i = 0; i < `+e+`; i++) {
|
|
inIdx = srcIdx;
|
|
`+x+`
|
|
vec4 candidate = `+C+`;
|
|
bvec4 nan = isnan(candidate);
|
|
bvec4 replace = bvec4(
|
|
vec4(`+L+`(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++;
|
|
}
|
|
setOutput(bestIndex);
|
|
}
|
|
`}return n}();var LM=function(){function n(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,i=t.filterWidth,r=t.strideHeight,a=t.strideWidth,s=t.dilationHeight,o=t.dilationWidth,l=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=l-1-t.padInfo.top,h=u-1-t.padInfo.left,d=1/(e*i);this.userCode=`
|
|
const ivec2 pads = ivec2(`+c+", "+h+`);
|
|
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 < `+l+`;
|
|
wR += `+s+`) {
|
|
float dyR = float(dyRCorner + wR) / `+r+`.0;
|
|
|
|
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 || fract(dyR) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyR = int(dyR);
|
|
|
|
for (int wC = 0; wC < `+u+`;
|
|
wC+= `+o+`) {
|
|
float dyC = float(dyCCorner + wC) / `+a+`.0;
|
|
|
|
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
|
|
fract(dyC) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyC = int(dyC);
|
|
|
|
float dyValue = getDy(b, idyR, idyC, d);
|
|
|
|
dotProd += dyValue * avgMultiplier;
|
|
}
|
|
}
|
|
setOutput(dotProd);
|
|
}
|
|
`}return n}(),IM=function(){function n(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,i=t.filterHeight,r=t.filterWidth,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,l=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,h=t.effectiveFilterDepth,d=t.effectiveFilterHeight,p=t.effectiveFilterWidth,f=h-1-t.padInfo.front,m=d-1-t.padInfo.top,g=p-1-t.padInfo.left,v=1/(e*i*r);this.userCode=`
|
|
const ivec3 pads = ivec3(`+f+", "+m+", "+g+`);
|
|
const float avgMultiplier = float(`+v+`);
|
|
|
|
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 < `+h+`;
|
|
wD += `+l+`) {
|
|
float dyD = float(dyDCorner + wD) / `+a+`.0;
|
|
|
|
if (dyD < 0.0 || dyD >= `+t.outDepth+`.0 || fract(dyD) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyD = int(dyD);
|
|
|
|
for (int wR = 0; wR < `+d+`;
|
|
wR += `+u+`) {
|
|
float dyR = float(dyRCorner + wR) / `+s+`.0;
|
|
|
|
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 ||
|
|
fract(dyR) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyR = int(dyR);
|
|
|
|
for (int wC = 0; wC < `+p+`;
|
|
wC += `+c+`) {
|
|
float dyC = float(dyCCorner + wC) / `+o+`.0;
|
|
|
|
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
|
|
fract(dyC) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyC = int(dyC);
|
|
|
|
float dyValue = getDy(batch, idyD, idyR, idyC, ch);
|
|
|
|
dotProd += dyValue * avgMultiplier;
|
|
}
|
|
}
|
|
}
|
|
setOutput(dotProd);
|
|
}
|
|
`}return n}();var j0={REAL:"return areal * breal - aimag * bimag;",IMAG:"return areal * bimag + aimag * breal;"},$0=function(){function n(t,e,i){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=N.backend_util.assertAndGetBroadcastShape(e,i),this.userCode=`
|
|
float binaryOpComplex(
|
|
float areal, float aimag, float breal, float bimag) {
|
|
`+t+`
|
|
}
|
|
|
|
void main() {
|
|
float areal = getARealAtOutCoords();
|
|
float aimag = getAImagAtOutCoords();
|
|
float breal = getBRealAtOutCoords();
|
|
float bimag = getBImagAtOutCoords();
|
|
setOutput(binaryOpComplex(areal, aimag, breal, bimag));
|
|
}
|
|
`}return n}();var X0=`
|
|
if (isnan(a)) return a;
|
|
if (isnan(b)) return b;
|
|
`,Wd="return a + b;",Ud="return a - b;",J0="return a * b;",AM=`
|
|
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;
|
|
}
|
|
`,TM=`
|
|
if(a < 0.0 && floor(b) < b){
|
|
return NAN;
|
|
}
|
|
if (b == 0.0) {
|
|
return 1.0;
|
|
}
|
|
return (round(mod(b, 2.0)) != 1) ?
|
|
pow(abs(a), b) : sign(a) * pow(abs(a), b);
|
|
`,NM="return float(a == b);",xM="return float(a != b);",CM="return float(a < b);",RM="return float(a <= b);",OM="return float(a > b);",EM="return float(a >= b);",DM="return float(a >= 1.0 && b >= 1.0);",kM="return float(a >= 1.0 || b >= 1.0);",FM=X0+`
|
|
return max(a, b);
|
|
`,WM=X0+`
|
|
return min(a, b);
|
|
`,UM=`if (b == 0.0) return NAN;
|
|
return mod(a, b);`,BM="return (b >= 1.0) ? a : a * (b + 1.0);",Z0="return (a < 0.) ? b * a : a;",bt=function(){function n(t,e,i){this.variableNames=["A","B"],this.outputShape=N.backend_util.assertAndGetBroadcastShape(e,i),this.userCode=`
|
|
float binaryOperation(float a, float b) {
|
|
`+t+`
|
|
}
|
|
|
|
void main() {
|
|
float a = getAAtOutCoords();
|
|
float b = getBAtOutCoords();
|
|
setOutput(binaryOperation(a, b));
|
|
}
|
|
`}return n}();var Mo=`
|
|
result.r = isNaN.r > 0. ? NAN : result.r;
|
|
result.g = isNaN.g > 0. ? NAN : result.g;
|
|
result.b = isNaN.b > 0. ? NAN : result.b;
|
|
result.a = isNaN.a > 0. ? NAN : result.a;
|
|
`,zM=`
|
|
ivec4 ia = round(a);
|
|
ivec4 ib = round(b);
|
|
bvec4 cond = notEqual(ib, ivec4(0));
|
|
ivec4 result = ivec4(0);
|
|
vec4 s = sign(a) * sign(b);
|
|
|
|
// Windows (D3D) wants guaranteed non-zero int division at compile-time.
|
|
if (cond[0]) {
|
|
result[0] = idiv(ia[0], ib[0], s[0]);
|
|
}
|
|
if (cond[1]) {
|
|
result[1] = idiv(ia[1], ib[1], s[1]);
|
|
}
|
|
if (cond[2]) {
|
|
result[2] = idiv(ia[2], ib[2], s[2]);
|
|
}
|
|
if (cond[3]) {
|
|
result[3] = idiv(ia[3], ib[3], s[3]);
|
|
}
|
|
return vec4(result);
|
|
`,PM=`
|
|
// isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.
|
|
vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));
|
|
vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);
|
|
vec4 result = multiplier * pow(abs(a), b);
|
|
|
|
// Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS
|
|
bvec4 isExpZero = equal(b, vec4(0.0));
|
|
result.r = isExpZero.r ? 1.0 : result.r;
|
|
result.g = isExpZero.g ? 1.0 : result.g;
|
|
result.b = isExpZero.b ? 1.0 : result.b;
|
|
result.a = isExpZero.a ? 1.0 : result.a;
|
|
|
|
vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));
|
|
`+Mo+`
|
|
return result;
|
|
`,Q0=`
|
|
vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));
|
|
return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);
|
|
`,_M=`
|
|
vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));
|
|
return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));
|
|
`,MM=`
|
|
return vec4(equal(a, b));
|
|
`,HM=`
|
|
return vec4(notEqual(a, b));
|
|
`,VM=`
|
|
return vec4(lessThan(a, b));
|
|
`,qM=`
|
|
return vec4(lessThanEqual(a, b));
|
|
`,GM=`
|
|
return vec4(greaterThan(a, b));
|
|
`,YM=`
|
|
return vec4(greaterThanEqual(a, b));
|
|
`,KM=`
|
|
return vec4(
|
|
vec4(greaterThanEqual(a, vec4(1.0))) *
|
|
vec4(greaterThanEqual(b, vec4(1.0))));
|
|
`,jM=`
|
|
return min(
|
|
vec4(greaterThanEqual(a, vec4(1.0))) +
|
|
vec4(greaterThanEqual(b, vec4(1.0))),
|
|
vec4(1.0));
|
|
`,$M=`
|
|
vec4 result = vec4(max(a, b));
|
|
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
|
|
`+Mo+`
|
|
return result;
|
|
`,XM=`
|
|
vec4 result = vec4(min(a, b));
|
|
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
|
|
`+Mo+`
|
|
return result;
|
|
`,JM=`
|
|
vec4 result = mod(a, b);
|
|
vec4 isNaN = vec4(equal(b, vec4(0.0)));
|
|
`+Mo+`
|
|
return result;
|
|
`,Li=function(){function n(t,e,i,r){r===void 0&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=N.backend_util.assertAndGetBroadcastShape(e,i);var a=this.outputShape.length,s="";if(r)if(a===0||N.util.sizeFromShape(this.outputShape)===1)s=`
|
|
result.y = 0.;
|
|
result.z = 0.;
|
|
result.w = 0.;
|
|
`;else{var o=Je(a);if(s=`
|
|
`+o+` coords = getOutputCoords();
|
|
`,a===1)s+=`
|
|
result.y = (coords + 1) >= `+this.outputShape[0]+` ? 0. : result.y;
|
|
result.z = 0.;
|
|
result.w = 0.;
|
|
`;else{var l=jt("coords",a);s+=`
|
|
bool nextRowOutOfBounds =
|
|
(`+l[a-2]+" + 1) >= "+this.outputShape[a-2]+`;
|
|
bool nextColOutOfBounds =
|
|
(`+l[a-1]+" + 1) >= "+this.outputShape[a-1]+`;
|
|
result.y = nextColOutOfBounds ? 0. : result.y;
|
|
result.z = nextRowOutOfBounds ? 0. : result.z;
|
|
result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;
|
|
`}}this.userCode=`
|
|
vec4 binaryOperation(vec4 a, vec4 b) {
|
|
`+t+`
|
|
}
|
|
|
|
void main() {
|
|
vec4 a = getAAtOutCoords();
|
|
vec4 b = getBAtOutCoords();
|
|
|
|
vec4 result = binaryOperation(a, b);
|
|
`+s+`
|
|
|
|
setOutput(result);
|
|
}
|
|
`}return n}();var ZM=function(){function n(t){this.variableNames=["A"],this.outputShape=t,this.userCode=`
|
|
uniform float minVal;
|
|
uniform float maxVal;
|
|
|
|
void main() {
|
|
float value = getAAtOutCoords();
|
|
if (isnan(value)) {
|
|
setOutput(value);
|
|
return;
|
|
}
|
|
|
|
setOutput(clamp(value, minVal, maxVal));
|
|
}
|
|
`}return n.prototype.getCustomSetupFunc=function(t,e){var i=this;return function(r,a){i.minLoc==null&&(i.minLoc=r.getUniformLocationNoThrow(a,"minVal"),i.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(i.minLoc,t),r.gl.uniform1f(i.maxLoc,e)}},n}();var QM=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode=`
|
|
uniform float minVal;
|
|
uniform float maxVal;
|
|
|
|
void main() {
|
|
vec4 value = getAAtOutCoords();
|
|
|
|
if (any(isnan(value))) {
|
|
setOutput(value);
|
|
return;
|
|
}
|
|
|
|
setOutput(clamp(value, vec4(minVal), vec4(maxVal)));
|
|
}
|
|
`}return n.prototype.getCustomSetupFunc=function(t,e){var i=this;return function(r,a){i.minLoc==null&&(i.minLoc=r.getUniformLocationNoThrow(a,"minVal"),i.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(i.minLoc,t),r.gl.uniform1f(i.maxLoc,e)}},n}();var e5=function(){function n(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode=`
|
|
void main() {
|
|
float re = abs(getRealAtOutCoords());
|
|
float im = abs(getImagAtOutCoords());
|
|
float mx = max(re, im);
|
|
|
|
// sadly the length function in glsl is not underflow-safe
|
|
// (at least not on Intel GPUs). So the safe solution is
|
|
// to ensure underflow-safety in all cases.
|
|
setOutput(
|
|
mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))
|
|
);
|
|
}
|
|
`}return n}();var t5=function(){function n(t){this.outputShape=[],this.outputShape=N.backend_util.computeOutShape(t,1),this.variableNames=t.map(function(l,u){return"T"+u});var e=new Array(t.length-1);e[0]=t[0][1];for(var i=1;i<e.length;i++)e[i]=e[i-1]+t[i][1];for(var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"],i=1;i<e.length;i++){var a=e[i-1];r.push("else if (yC < "+e[i]+") "+("setOutput(getT"+i+"(yR, yC-"+a+"));"))}var s=e.length,o=e[e.length-1];r.push("else setOutput(getT"+s+"(yR, yC-"+o+"));"),this.userCode=`
|
|
void main() {
|
|
ivec2 coords = getOutputCoords();
|
|
int yR = coords.x;
|
|
int yC = coords.y;
|
|
|
|
`+r.join(`
|
|
`)+`
|
|
}
|
|
`}return n}();var n5=function(){function n(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=N.backend_util.computeOutShape(t,e);var i=this.outputShape,r=i.length,a=Je(r),s=jt("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map(function(v,b){return"T"+b});var l=new Array(t.length-1);l[0]=t[0][e];for(var u=1;u<l.length;u++)l[u]=l[u-1]+t[u][e];for(var c=o[e],h=o.slice(-2),d=o.join(),p="if ("+c+" < "+l[0]+`) {
|
|
return getChannel(
|
|
getT0(`+d+"), vec2("+h.join()+`));
|
|
}`,u=1;u<l.length;u++){var f=l[u-1];p+=`
|
|
if (`+c+" < "+l[u]+" && "+c+" >= "+l[u-1]+`) {
|
|
return getChannel(
|
|
getT`+u+"("+Ho(o,c,f)+`),
|
|
vec2(`+Ho(h,c,f)+`));
|
|
}`}var m=l.length,g=l[l.length-1];p+=`
|
|
return getChannel(
|
|
getT`+m+"("+Ho(o,c,g)+`),
|
|
vec2(`+Ho(h,c,g)+"));",this.userCode=`
|
|
float getValue(`+o.map(function(v){return"int "+v})+`) {
|
|
`+p+`
|
|
}
|
|
|
|
void main() {
|
|
`+a+` coords = getOutputCoords();
|
|
vec4 result = vec4(getValue(`+s+`), 0., 0., 0.);
|
|
|
|
`+s[r-1]+" = "+s[r-1]+` + 1;
|
|
if (`+s[r-1]+" < "+i[r-1]+`) {
|
|
result.g = getValue(`+s+`);
|
|
}
|
|
|
|
`+s[r-2]+" = "+s[r-2]+` + 1;
|
|
if (`+s[r-2]+" < "+i[r-2]+`) {
|
|
result.a = getValue(`+s+`);
|
|
}
|
|
|
|
`+s[r-1]+" = "+s[r-1]+` - 1;
|
|
if (`+s[r-2]+" < "+i[r-2]+` &&
|
|
`+s[r-1]+" < "+i[r-1]+`) {
|
|
result.b = getValue(`+s+`);
|
|
}
|
|
setOutput(result);
|
|
}
|
|
`}return n}();function Ho(n,t,e){var i=n.indexOf(t),r=n.map(function(a,s){return s===i?a+" - "+e:a});return r.join()}var i5=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,i=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,s=t.dataFormat==="channelsLast";this.userCode=`
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int wR = coords.x;
|
|
int wC = coords.y;
|
|
int d1 = coords.z;
|
|
int d2 = coords.w;
|
|
|
|
// 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 < `+t.batchSize+`; b++) {
|
|
for (int yR = 0; yR < `+t.outHeight+`; yR++) {
|
|
int xR = wR + yR * `+e+" - "+r+`;
|
|
|
|
if (xR < 0 || xR >= `+t.inHeight+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int yC = 0; yC < `+t.outWidth+`; yC++) {
|
|
int xC = wC + yC * `+i+" - "+a+`;
|
|
|
|
if (xC < 0 || xC >= `+t.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);
|
|
}
|
|
`}return n}(),r5=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,i=t.filterWidth,r=t.strideHeight,a=t.strideWidth,s=t.dataFormat==="channelsLast",o=e-1-t.padInfo.top,l=i-1-t.padInfo.left,u=s?1:2,c=s?2:3,h=s?3:1;this.userCode=`
|
|
const ivec2 pads = ivec2(`+o+", "+l+`);
|
|
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int batch = coords[0];
|
|
int d1 = coords[`+h+`];
|
|
|
|
ivec2 dyCorner = ivec2(coords[`+u+"], coords["+c+`]) - 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 < `+e+`; wR++) {
|
|
float dyR = float(dyRCorner + wR) / `+r+`.0;
|
|
|
|
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 || fract(dyR) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyR = int(dyR);
|
|
|
|
int wRPerm = `+e+` - 1 - wR;
|
|
|
|
for (int wC = 0; wC < `+i+`; wC++) {
|
|
float dyC = float(dyCCorner + wC) / `+a+`.0;
|
|
|
|
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
|
|
fract(dyC) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyC = int(dyC);
|
|
|
|
int wCPerm = `+i+` - 1 - wC;
|
|
|
|
for (int d2 = 0; d2 < `+t.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);
|
|
}
|
|
`}return n}(),a5=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,i=t.strideHeight,r=t.strideWidth,a=t.padInfo.front,s=t.padInfo.top,o=t.padInfo.left;this.userCode=`
|
|
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 < `+t.batchSize+`; b++) {
|
|
for (int yF = 0; yF < `+t.outDepth+`; yF++) {
|
|
int xF = wF + yF * `+e+" - "+a+`;
|
|
|
|
if (xF < 0 || xF >= `+t.inDepth+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int yR = 0; yR < `+t.outHeight+`; yR++) {
|
|
int xR = wR + yR * `+i+" - "+s+`;
|
|
|
|
if (xR < 0 || xR >= `+t.inHeight+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int yC = 0; yC < `+t.outWidth+`; yC++) {
|
|
int xC = wC + yC * `+r+" - "+o+`;
|
|
|
|
if (xC < 0 || xC >= `+t.inWidth+`) {
|
|
continue;
|
|
}
|
|
|
|
float dyValue = getDy(b, yF, yR, yC, d2);
|
|
float xValue = getX(b, xF, xR, xC, d1);
|
|
dotProd += (xValue * dyValue);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
setOutput(dotProd);
|
|
}
|
|
`}return n}(),s5=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,i=t.filterHeight,r=t.filterWidth,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,l=e-1-t.padInfo.front,u=i-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode=`
|
|
const ivec3 pads = ivec3(`+l+", "+u+", "+c+`);
|
|
|
|
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 < `+e+`; wF++) {
|
|
float dyF = float(dyFCorner + wF) / `+a+`.0;
|
|
|
|
if (dyF < 0.0 || dyF >= `+t.outDepth+`.0 || fract(dyF) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyF = int(dyF);
|
|
|
|
int wFPerm = `+e+` - 1 - wF;
|
|
|
|
for (int wR = 0; wR < `+i+`; wR++) {
|
|
float dyR = float(dyRCorner + wR) / `+s+`.0;
|
|
|
|
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 ||
|
|
fract(dyR) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyR = int(dyR);
|
|
|
|
int wRPerm = `+i+` - 1 - wR;
|
|
|
|
for (int wC = 0; wC < `+r+`; wC++) {
|
|
float dyC = float(dyCCorner + wC) / `+o+`.0;
|
|
|
|
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
|
|
fract(dyC) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyC = int(dyC);
|
|
|
|
int wCPerm = `+r+` - 1 - wC;
|
|
|
|
for (int d2 = 0; d2 < `+t.outChannels+`; d2++) {
|
|
float xValue = getDy(batch, idyF, idyR, idyC, d2);
|
|
float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);
|
|
dotProd += xValue * wValue;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
setOutput(dotProd);
|
|
}
|
|
`}return n}();var o5=function(){function n(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,i=t.strideWidth,r=t.padInfo.top,a=t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode=`
|
|
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 < `+t.batchSize+`; b++) {
|
|
for (int yR = 0; yR < `+t.outHeight+`; yR++) {
|
|
int xR = wR + yR * `+e+" - "+r+`;
|
|
|
|
if (xR < 0 || xR >= `+t.inHeight+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int yC = 0; yC < `+t.outWidth+`; yC++) {
|
|
int xC = wC + yC * `+i+" - "+a+`;
|
|
|
|
if (xC < 0 || xC >= `+t.inWidth+`) {
|
|
continue;
|
|
}
|
|
|
|
float dyValue = getDy(b, yR, yC, d2);
|
|
float xValue = getX(b, xR, xC, d1);
|
|
dotProd += (xValue * dyValue);
|
|
}
|
|
}
|
|
}
|
|
setOutput(dotProd);
|
|
}
|
|
`}return n}(),l5=function(){function n(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,i=t.filterWidth,r=t.strideHeight,a=t.strideWidth,s=e-1-t.padInfo.top,o=i-1-t.padInfo.left,l=t.outChannels/t.inChannels;this.userCode=`
|
|
const ivec2 pads = ivec2(`+s+", "+o+`);
|
|
|
|
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 < `+e+`; wR++) {
|
|
float dyR = float(dyRCorner + wR) / `+r+`.0;
|
|
|
|
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 || fract(dyR) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyR = int(dyR);
|
|
|
|
int wRPerm = `+e+` - 1 - wR;
|
|
|
|
for (int wC = 0; wC < `+i+`; wC++) {
|
|
float dyC = float(dyCCorner + wC) / `+a+`.0;
|
|
|
|
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
|
|
fract(dyC) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyC = int(dyC);
|
|
|
|
int wCPerm = `+i+` - 1 - wC;
|
|
|
|
// TO DO: Vec4 over the channelMul
|
|
for (int dm = 0; dm < `+l+`; dm++) {
|
|
int d2 = d1 * `+l+` + dm;
|
|
float xValue = getDy(batch, idyR, idyC, d2);
|
|
float wValue = getW(wRPerm, wCPerm, d1, dm);
|
|
dotProd += xValue * wValue;
|
|
}
|
|
}
|
|
}
|
|
setOutput(dotProd);
|
|
}
|
|
`}return n}();var eS=function(){function n(t,e,i,r){e===void 0&&(e=!1),i===void 0&&(i=null),r===void 0&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.padInfo.top,s=t.padInfo.left,o=t.strideHeight,l=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,h=t.filterHeight,d=t.filterWidth,p=Math.floor(t.inChannels/4)*4,f=t.inChannels%4,m=t.dataFormat==="channelsLast",g=m?1:2,v=m?2:3,b=m?3:1,w="",S="";i&&(r?w=`float activation(float a) {
|
|
float b = getPreluActivationWeightsAtOutCoords();
|
|
`+i+`
|
|
}`:w=`
|
|
float activation(float x) {
|
|
`+i+`
|
|
}
|
|
`,S="result = activation(result);");var L=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode=`
|
|
`+w+`
|
|
|
|
const ivec2 strides = ivec2(`+o+", "+l+`);
|
|
const ivec2 pads = ivec2(`+a+", "+s+`);
|
|
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int batch = coords[0];
|
|
int d2 = coords[`+b+`];
|
|
|
|
ivec2 xRCCorner =
|
|
ivec2(coords[`+g+"], coords["+v+`]) * 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 < `+h+`; wR++) {
|
|
int xR = xRCorner + wR * `+u+`;
|
|
|
|
if (xR < 0 || xR >= `+t.inHeight+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wC = 0; wC < `+d+`; wC++) {
|
|
int xC = xCCorner + wC * `+c+`;
|
|
|
|
if (xC < 0 || xC >= `+t.inWidth+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int d1 = 0; d1 < `+p+`; 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 (`+m+`) {
|
|
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);
|
|
}
|
|
}
|
|
|
|
if (`+(f===1)+`) {
|
|
|
|
if (`+m+`) {
|
|
dotProd +=
|
|
getX(batch, xR, xC, `+p+`) *
|
|
getW(wR, wC, `+p+`, d2);
|
|
} else {
|
|
dotProd +=
|
|
getX(batch, `+p+`, xR, xC) *
|
|
getW(wR, wC, `+p+`, d2);
|
|
}
|
|
|
|
} else if (`+(f===2)+`) {
|
|
vec2 wValues = vec2(
|
|
getW(wR, wC, `+p+`, d2),
|
|
getW(wR, wC, `+p+` + 1, d2)
|
|
);
|
|
|
|
if (`+m+`) {
|
|
vec2 xValues = vec2(
|
|
getX(batch, xR, xC, `+p+`),
|
|
getX(batch, xR, xC, `+p+` + 1)
|
|
);
|
|
dotProd += dot(xValues, wValues);
|
|
} else {
|
|
vec2 xValues = vec2(
|
|
getX(batch, `+p+`, xR, xC),
|
|
getX(batch, `+p+` + 1, xR, xC)
|
|
);
|
|
dotProd += dot(xValues, wValues);
|
|
}
|
|
|
|
} else if (`+(f===3)+`) {
|
|
vec3 wValues = vec3(
|
|
getW(wR, wC, `+p+`, d2),
|
|
getW(wR, wC, `+p+` + 1, d2),
|
|
getW(wR, wC, `+p+` + 2, d2)
|
|
);
|
|
|
|
if (`+m+`) {
|
|
vec3 xValues = vec3(
|
|
getX(batch, xR, xC, `+p+`),
|
|
getX(batch, xR, xC, `+p+` + 1),
|
|
getX(batch, xR, xC, `+p+` + 2)
|
|
);
|
|
dotProd += dot(xValues, wValues);
|
|
} else {
|
|
vec3 xValues = vec3(
|
|
getX(batch, `+p+`, xR, xC),
|
|
getX(batch, `+p+` + 1, xR, xC),
|
|
getX(batch, `+p+` + 2, xR, xC)
|
|
);
|
|
dotProd += dot(xValues, wValues);
|
|
}
|
|
|
|
}
|
|
}
|
|
}
|
|
|
|
float result = dotProd;
|
|
`+L+`
|
|
`+S+`
|
|
setOutput(result);
|
|
}
|
|
`}return n}(),u5=function(){function n(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,i=t.padInfo.top,r=t.padInfo.left,a=t.strideDepth,s=t.strideHeight,o=t.strideWidth,l=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,h=t.filterDepth,d=t.filterHeight,p=t.filterWidth,f=Math.floor(t.inChannels/4)*4,m=t.inChannels%4;this.userCode=`
|
|
const ivec3 strides = ivec3(`+a+", "+s+", "+o+`);
|
|
const ivec3 pads = ivec3(`+e+", "+i+", "+r+`);
|
|
|
|
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 < `+h+`; wF++) {
|
|
int xF = xFCorner + wF * `+l+`;
|
|
|
|
if (xF < 0 || xF >= `+t.inDepth+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wR = 0; wR < `+d+`; wR++) {
|
|
int xR = xRCorner + wR * `+u+`;
|
|
|
|
if (xR < 0 || xR >= `+t.inHeight+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wC = 0; wC < `+p+`; wC++) {
|
|
int xC = xCCorner + wC * `+c+`;
|
|
|
|
if (xC < 0 || xC >= `+t.inWidth+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int d1 = 0; d1 < `+f+`; 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, `+f+`) *
|
|
getW(wF, wR, wC, `+f+`, d2);
|
|
} else if (`+(m===2)+`) {
|
|
vec2 xValues = vec2(
|
|
getX(batch, xF, xR, xC, `+f+`),
|
|
getX(batch, xF, xR, xC, `+f+` + 1)
|
|
);
|
|
vec2 wValues = vec2(
|
|
getW(wF, wR, wC, `+f+`, d2),
|
|
getW(wF, wR, wC, `+f+` + 1, d2)
|
|
);
|
|
dotProd += dot(xValues, wValues);
|
|
} else if (`+(m===3)+`) {
|
|
vec3 xValues = vec3(
|
|
getX(batch, xF, xR, xC, `+f+`),
|
|
getX(batch, xF, xR, xC, `+f+` + 1),
|
|
getX(batch, xF, xR, xC, `+f+` + 2)
|
|
);
|
|
vec3 wValues = vec3(
|
|
getW(wF, wR, wC, `+f+`, d2),
|
|
getW(wF, wR, wC, `+f+` + 1, d2),
|
|
getW(wF, wR, wC, `+f+` + 2, d2)
|
|
);
|
|
dotProd += dot(xValues, wValues);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
setOutput(dotProd);
|
|
}
|
|
`}return n}();var tS=function(){function n(t,e,i,r){e===void 0&&(e=!1),i===void 0&&(i=null),r===void 0&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var a=t.inHeight,s=t.inWidth,o=t.padInfo.top,l=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,h=t.dilationHeight,d=t.dilationWidth,p=t.filterHeight,f=t.filterWidth,m=t.outChannels/t.inChannels,g="",v="";i&&(r?g=`float activation(float a) {
|
|
float b = getPreluActivationWeightsAtOutCoords();
|
|
`+i+`
|
|
}`:g=`
|
|
float activation(float x) {
|
|
`+i+`
|
|
}
|
|
`,v="result = activation(result);");var b=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode=`
|
|
`+g+`
|
|
|
|
const ivec2 strides = ivec2(`+u+", "+c+`);
|
|
const ivec2 pads = ivec2(`+o+", "+l+`);
|
|
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int batch = coords.x;
|
|
ivec2 xRCCorner = coords.yz * strides - pads;
|
|
int d2 = coords.w;
|
|
int d1 = d2 / `+m+`;
|
|
int q = d2 - d1 * `+m+`;
|
|
|
|
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 < `+p+`; wR++) {
|
|
int xR = xRCorner + wR * `+h+`;
|
|
|
|
if (xR < 0 || xR >= `+a+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wC = 0; wC < `+f+`; wC++) {
|
|
int xC = xCCorner + wC * `+d+`;
|
|
|
|
if (xC < 0 || xC >= `+s+`) {
|
|
continue;
|
|
}
|
|
|
|
float xVal = getX(batch, xR, xC, d1);
|
|
float wVal = getW(wR, wC, d1, q);
|
|
dotProd += xVal * wVal;
|
|
}
|
|
}
|
|
|
|
float result = dotProd;
|
|
`+b+`
|
|
`+v+`
|
|
setOutput(result);
|
|
}
|
|
`}return n}();var nS=function(){function n(t,e,i,r){e===void 0&&(e=!1),i===void 0&&(i=null),r===void 0&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var a=t.inHeight,s=t.inWidth,o=t.padInfo.top,l=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,h=t.dilationHeight,d=t.dilationWidth,p=t.filterHeight,f=t.filterWidth,m=f,g="int xR; int xC; int xCOffset;",v=0;v<p;v++)for(var b=0;b<f;b++)g+=`
|
|
vec4 xTexelR`+v+"C"+b*2+` = vec4(0.);
|
|
vec4 wR`+v+"C"+b+` = vec4(0.);
|
|
vec4 xR`+v+"C"+b+" = vec4(0.);";for(var v=0;v<p;v++)for(var w=0;w<m;w++){var b=w*2;if(g+=`
|
|
xR = xRCorner + `+v*h+`;
|
|
xC = xCCorner + `+b*d+`;
|
|
`,c===1){if(b<f&&(l%2===1?g+=`
|
|
xCOffset = xC + 1;
|
|
if(xR >= 0 && xR < `+a+" && xCOffset >= 0 && xCOffset < "+s+`) {
|
|
xTexelR`+v+"C"+b+` = getX(batch, xR, xCOffset, d1);
|
|
|
|
// Need to manually clear unused channels in case
|
|
// we're reading from recycled texture.
|
|
if(xCOffset + 1 >= `+s+`) {
|
|
xTexelR`+v+"C"+b+`.zw = vec2(0.);
|
|
}
|
|
} else {
|
|
xTexelR`+v+"C"+b+` = vec4(0.);
|
|
}
|
|
|
|
xCOffset = xC + 1 - 2;
|
|
if(xR >= 0 && xR < `+a+" && xCOffset >= 0 && xCOffset < "+s+`) {
|
|
vec4 previous = getX(batch, xR, xCOffset, d1);
|
|
|
|
// Need to manually clear unused channels in case
|
|
// we're reading from recycled texture.
|
|
if(xCOffset + 1 >= `+s+`) {
|
|
previous.zw = vec2(0.);
|
|
}
|
|
|
|
xR`+v+"C"+b+" = vec4(previous.zw, xTexelR"+v+"C"+b+`.xy);
|
|
} else {
|
|
xR`+v+"C"+b+" = vec4(0, 0, xTexelR"+v+"C"+b+`.xy);
|
|
}
|
|
`:g+=`
|
|
if(xR >= 0 && xR < `+a+" && xC >= 0 && xC < "+s+`) {
|
|
xTexelR`+v+"C"+b+` = getX(batch, xR, xC, d1);
|
|
} else {
|
|
xTexelR`+v+"C"+b+` = vec4(0.);
|
|
}
|
|
|
|
xR`+v+"C"+b+" = xTexelR"+v+"C"+b+`;
|
|
`,b+1<f)){var S=l%2===0?N.util.nearestLargerEven(d):d;d%2===0&&l%2===1||d%2!==0&&l%2!==1?(g+=`
|
|
xCOffset = xC + `+l%2+" + "+S+`;
|
|
|
|
if(xR >= 0 && xR < `+a+` &&
|
|
xCOffset >= 0 && xCOffset < `+s+`) {
|
|
xTexelR`+v+"C"+(b+2)+` = getX(batch, xR, xCOffset, d1);
|
|
}
|
|
`,d>1&&(g+=`
|
|
xCOffset -= 2;
|
|
if(xR >= 0 && xR < `+a+` &&
|
|
xCOffset >= 0 && xCOffset < `+s+`) {
|
|
xTexelR`+v+"C"+b+` = getX(batch, xR, xCOffset, d1);
|
|
} else {
|
|
xTexelR`+v+"C"+b+` = vec4(0.);
|
|
}
|
|
`),g+=`
|
|
xR`+v+"C"+(b+1)+` = vec4(
|
|
xTexelR`+v+"C"+b+".zw, xTexelR"+v+"C"+(b+2)+`.xy);
|
|
`):g+=`
|
|
xCOffset = xC + `+S+`;
|
|
|
|
if(xR >= 0 && xR < `+a+` &&
|
|
xCOffset >= 0 && xCOffset < `+s+`) {
|
|
xTexelR`+v+"C"+(b+2)+` = getX(batch, xR, xCOffset, d1);
|
|
}
|
|
|
|
xR`+v+"C"+(b+1)+" = xTexelR"+v+"C"+(b+2)+`;
|
|
`}}else b<f&&(g+=`
|
|
if(xR >= 0 && xR < `+a+`) {
|
|
`,l%2===1?(g+=`
|
|
xCOffset = xC + 1 - `+c+`;
|
|
if(xCOffset >= 0 && xCOffset < `+s+`) {
|
|
xTexelR`+v+"C"+b+` = getX(batch, xR, xCOffset, d1);
|
|
} else {
|
|
xTexelR`+v+"C"+b+` = vec4(0.);
|
|
}
|
|
|
|
if(xC + 1 >= 0 && xC + 1 < `+s+`) {
|
|
xTexelR`+v+"C"+(b+2)+` = getX(batch, xR, xC + 1, d1);
|
|
} else {
|
|
xTexelR`+v+"C"+(b+2)+` = vec4(0.);
|
|
}
|
|
|
|
xR`+v+"C"+b+` = vec4(
|
|
xTexelR`+v+"C"+b+".zw, xTexelR"+v+"C"+(b+2)+`.zw);
|
|
`,b+1<f&&(g+=`
|
|
vec4 final = vec4(0.);
|
|
xCOffset = xC + 1 + `+c+`;
|
|
if(xCOffset >= 0 && xCOffset < `+s+`) {
|
|
final = getX(batch, xR, xCOffset, d1);
|
|
}
|
|
xR`+v+"C"+(b+1)+" = vec4(xTexelR"+v+"C"+(b+2)+`.xy, final.xy);
|
|
`)):(g+=`
|
|
if(xC >= 0 && xC < `+s+`) {
|
|
xTexelR`+v+"C"+b+` = getX(batch, xR, xC, d1);
|
|
} else {
|
|
xTexelR`+v+"C"+b+` = vec4(0.);
|
|
}
|
|
|
|
xCOffset = xC + `+c+`;
|
|
if(xCOffset >= 0 && xCOffset < `+s+`) {
|
|
xTexelR`+v+"C"+(b+2)+` = getX(batch, xR, xCOffset, d1);
|
|
} else {
|
|
xTexelR`+v+"C"+(b+2)+` = vec4(0.);
|
|
}
|
|
|
|
xR`+v+"C"+b+` = vec4(
|
|
xTexelR`+v+"C"+b+".xy, xTexelR"+v+"C"+(b+2)+`.xy);
|
|
`,b+1<f&&(g+=`
|
|
xR`+v+"C"+(b+1)+` = vec4(
|
|
xTexelR`+v+"C"+b+".zw, xTexelR"+v+"C"+(b+2)+`.zw);
|
|
`)),g+="}");b<f&&(g+=`
|
|
vec4 wTexelR`+v+"C"+b+" = getW("+v+", "+b+`, d1, q);
|
|
wR`+v+"C"+b+" = vec4(wTexelR"+v+"C"+b+".xz, wTexelR"+v+"C"+b+`.xz);
|
|
`,b+1<f&&(g+=`
|
|
vec4 wTexelR`+v+"C"+(b+1)+" = getW("+v+", "+(b+1)+`, d1, q);
|
|
wR`+v+"C"+(b+1)+` =
|
|
vec4(wTexelR`+v+"C"+(b+1)+".xz, wTexelR"+v+"C"+(b+1)+".xz);"))}for(var v=0;v<p;v++)for(var b=0;b<f;b++)g+="dotProd += xR"+v+"C"+b+" * wR"+v+"C"+b+";";var L="",x="";i&&(r?L=`vec4 activation(vec4 a) {
|
|
vec4 b = getPreluActivationWeightsAtOutCoords();
|
|
`+i+`
|
|
}`:L=`vec4 activation(vec4 x) {
|
|
`+i+`
|
|
}`,x="result = activation(result);");var C=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode=`
|
|
`+L+`
|
|
|
|
const ivec2 strides = ivec2(`+u+", "+c+`);
|
|
const ivec2 pads = ivec2(`+o+", "+l+`);
|
|
|
|
void main() {
|
|
|
|
ivec4 coords = getOutputCoords();
|
|
int batch = coords.x;
|
|
ivec2 xRCCorner = coords.yz * strides - pads;
|
|
int d2 = coords.w;
|
|
int d1 = d2;
|
|
int q = 0;
|
|
int xRCorner = xRCCorner.x;
|
|
int xCCorner = xRCCorner.y;
|
|
|
|
vec4 dotProd = vec4(0.);
|
|
|
|
`+g+`
|
|
|
|
vec4 result = dotProd;
|
|
`+C+`
|
|
`+x+`
|
|
setOutput(result);
|
|
}
|
|
`}return n}();var c5=function(){function n(t,e,i,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var s=t[0],o=t[1],l=t[2],u=t[3],c=e[0],h=i[0],d=i[1];this.outputShape=[c,h,d,u];var p=r==="bilinear"?1:0,f=[o-1+".0",l-1+".0"],m=f[0],g=f[1],v=h>1?[""+(o-1)/(h-1),"(y2-y1) * height_ratio","y1*"+m+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+m],b=v[0],w=v[1],S=v[2],L=d>1?[""+(l-1)/(d-1),"(x2-x1) * width_ratio","x1*"+g+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+g],x=L[0],C=L[1],R=L[2];this.userCode=`
|
|
const float height_ratio = float(`+b+`);
|
|
const float width_ratio = float(`+x+`);
|
|
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;
|
|
}
|
|
|
|
float height_scale = `+w+`;
|
|
float width_scale = `+C+`;
|
|
|
|
float in_y = `+S+`;
|
|
if( in_y < 0.0 || in_y > `+m+` ) {
|
|
setOutput(float(`+a+`));
|
|
return;
|
|
}
|
|
float in_x = `+R+`;
|
|
if( in_x < 0.0 || in_x > `+g+` ) {
|
|
setOutput(float(`+a+`));
|
|
return;
|
|
}
|
|
|
|
vec2 sourceFracIndexCR = vec2(in_x,in_y);
|
|
if(`+p+` == 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);
|
|
}
|
|
}
|
|
`}return n}(),aS=function(){function n(t,e,i){this.variableNames=["x"],this.outputShape=t;var r=t.length,a=e?"0.0":"getX("+iS(r,"coords")+")",s=t[t.length-1],o="",l="";e?(o=i?"end != "+(s-1):"end != 0",l=i?"end + 1":"end - 1"):(o=i?"end + pow2 < "+s:"end >= pow2",l=i?"end + pow2":"end - pow2"),this.userCode=`
|
|
uniform float index;
|
|
void main() {
|
|
`+Je(r)+` coords = getOutputCoords();
|
|
int end = `+rS(r,"coords")+`;
|
|
float val = `+a+`;
|
|
int pow2 = int(pow(2.0, index));
|
|
if (`+o+`) {
|
|
int idx = `+l+`;
|
|
`+rS(r,"coords")+` = idx;
|
|
val += getX(`+iS(r,"coords")+`);
|
|
}
|
|
setOutput(val);
|
|
}
|
|
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(i,r){e.index==null&&(e.index=i.getUniformLocation(r,"index")),i.gl.uniform1f(e.index,t)}},n}();function iS(n,t){if(n===1)return""+t;if(n===2)return t+".x, "+t+".y";if(n===3)return t+".x, "+t+".y, "+t+".z";if(n===4)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+n+" is not yet supported")}function rS(n,t){if(n===1)return""+t;if(n===2)return t+".y";if(n===3)return t+".z";if(n===4)return t+".w";throw Error("Cumulative sum for rank "+n+" is not yet supported")}var h5=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Za.DENSE;var e=es(t),i=Dt();this.outputShape=t,this.userCode=`
|
|
ivec3 outCoordsFromFlatIndex(int index) {
|
|
`+or(["r","c","d"],t)+`
|
|
return ivec3(r, c, d);
|
|
}
|
|
|
|
void main() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+e[0]+", "+e[1]+`));
|
|
int index = 4 * (resTexRC.x * `+e[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);
|
|
}
|
|
|
|
`+i.output+` = result;
|
|
}
|
|
`}return n}();var d5=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Za.DENSE;var e=es(t),i=Dt();this.outputShape=t,this.userCode=`
|
|
ivec3 outCoordsFromFlatIndex(int index) {
|
|
`+or(["r","c","d"],t)+`
|
|
return ivec3(r, c, d);
|
|
}
|
|
|
|
void main() {
|
|
ivec2 resTexRC = ivec2(resultUV.yx *
|
|
vec2(`+e[0]+", "+e[1]+`));
|
|
int index = 4 * (resTexRC.x * `+e[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));
|
|
}
|
|
|
|
`+i.output+` = result;
|
|
}
|
|
`}return n}();var p5=function(){function n(t,e,i){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=i,this.userCode=`
|
|
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 / `+e+`;
|
|
int offset_h = imod(h, `+e+`);
|
|
int in_w = w / `+e+`;
|
|
int offset_w = imod(w, `+e+`);
|
|
int offset_d = (offset_h * `+e+` + offset_w) *
|
|
`+this.getOutputDepthSize()+`;
|
|
int in_d = d + offset_d;
|
|
|
|
float result = `+this.getInputSamplingString()+`;
|
|
setOutput(result);
|
|
}
|
|
`}return n.prototype.getHeightCoordString=function(){return this.dataFormat==="NHWC"?"coords[1]":"coords[2]"},n.prototype.getWidthCoordString=function(){return this.dataFormat==="NHWC"?"coords[2]":"coords[3]"},n.prototype.getDepthCoordString=function(){return this.dataFormat==="NHWC"?"coords[3]":"coords[1]"},n.prototype.getOutputDepthSize=function(){return this.dataFormat==="NHWC"?this.outputShape[3]:this.outputShape[1]},n.prototype.getInputSamplingString=function(){return this.dataFormat==="NHWC"?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},n}();var f5=function(){function n(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode=`
|
|
void main() {
|
|
ivec2 coords = getOutputCoords();
|
|
float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;
|
|
setOutput(val);
|
|
}
|
|
`}return n}();var m5=function(){function n(t){this.variableNames=["A"],this.outTexUsage=en.DOWNLOAD;var e=Dt();this.outputShape=t,this.userCode=`
|
|
`+q0+`
|
|
|
|
void main() {
|
|
float x = getAAtOutCoords();
|
|
`+e.output+` = encode_float(x);
|
|
}
|
|
`}return n}();var g5=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=en.DOWNLOAD;var e=Dt();this.outputShape=t,this.userCode=`
|
|
`+q0+`
|
|
|
|
void main() {
|
|
ivec3 coords = getOutputCoords();
|
|
float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));
|
|
`+e.output+` = encode_float(x);
|
|
}
|
|
`}return n}();var v5=function(){function n(t,e,i){i===void 0&&(i=!1),this.variableNames=["A"];var r=Dt(),a=e[0],s=e[1];this.outputShape=t;var o="result";i&&(o="floor(result * 255. + 0.5)"),this.userCode=`
|
|
`+Fd(t)+`
|
|
|
|
void main() {
|
|
ivec3 coords = getOutputCoords();
|
|
|
|
int flatIndex = getFlatIndex(coords);
|
|
int offset = imod(flatIndex, 4);
|
|
|
|
flatIndex = idiv(flatIndex, 4, 1.);
|
|
|
|
int r = flatIndex / `+s+`;
|
|
int c = imod(flatIndex, `+s+`);
|
|
vec2 uv = (vec2(c, r) + halfCR) / vec2(`+s+".0, "+a+`.0);
|
|
vec4 values = `+r.texture2D+`(A, uv);
|
|
|
|
float result;
|
|
|
|
if(offset == 0) {
|
|
result = values[0];
|
|
} else if(offset == 1) {
|
|
result = values[1];
|
|
} else if(offset == 2) {
|
|
result = values[2];
|
|
} else {
|
|
result = values[3];
|
|
}
|
|
|
|
`+r.output+" = vec4("+o+`, 0., 0., 0.);
|
|
}
|
|
`}return n}();var y5=function(){function n(t,e,i){i===void 0&&(i=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=Dt(),a=e[0],s=e[1];this.outputShape=t;var o="",l="result";i&&(l="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var h=u*2+c;o+=`
|
|
localCoords = coords;
|
|
if(localCoords[2] + `+c+" < "+t[2]+`) {
|
|
localCoords[2] += `+c+`;
|
|
if(localCoords[1] + `+u+" < "+t[1]+`) {
|
|
localCoords[1] += `+u+`;
|
|
|
|
flatIndex = getFlatIndex(localCoords);
|
|
offset = imod(flatIndex, 4);
|
|
|
|
flatIndex = idiv(flatIndex, 4, 1.);
|
|
|
|
r = flatIndex / `+s+`;
|
|
c = imod(flatIndex, `+s+`);
|
|
uv = (vec2(c, r) + halfCR) / vec2(`+s+".0, "+a+`.0);
|
|
values = `+r.texture2D+`(A, uv);
|
|
|
|
if(offset == 0) {
|
|
result[`+h+`] = values[0];
|
|
} else if(offset == 1) {
|
|
result[`+h+`] = values[1];
|
|
} else if(offset == 2) {
|
|
result[`+h+`] = values[2];
|
|
} else {
|
|
result[`+h+`] = values[3];
|
|
}
|
|
}
|
|
}
|
|
`}this.userCode=`
|
|
`+Fd(t)+`
|
|
|
|
void main() {
|
|
ivec3 coords = getOutputCoords();
|
|
|
|
vec4 result = vec4(0.);
|
|
int flatIndex, r, c, offset;
|
|
ivec3 localCoords;
|
|
vec2 uv;
|
|
vec4 values;
|
|
|
|
`+o+`
|
|
|
|
`+r.output+" = "+l+`;
|
|
}
|
|
`}return n}();var sS={REAL:"return real * expR - imag * expI;",IMAG:"return real * expI + imag * expR;"},oS=function(){function n(t,e,i){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var a=i?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,s=i?r+".0":"1.0";this.userCode=`
|
|
const float exponentMultiplier = `+a+`;
|
|
|
|
float unaryOpComplex(float real, float expR, float imag, float expI) {
|
|
`+t+`
|
|
}
|
|
|
|
float mulMatDFT(int batch, int index) {
|
|
float indexRatio = float(index) / float(`+r+`);
|
|
float exponentMultiplierTimesIndexRatio =
|
|
exponentMultiplier * indexRatio;
|
|
|
|
float result = 0.0;
|
|
|
|
for (int i = 0; i < `+r+`; 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;
|
|
}
|
|
|
|
void main() {
|
|
ivec2 coords = getOutputCoords();
|
|
setOutput(mulMatDFT(coords[0], coords[1]));
|
|
}
|
|
`}return n}();var b5=function(){function n(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode=`
|
|
uniform float value;
|
|
void main() {
|
|
// Input can be obtained from uniform value.
|
|
setOutput(value);
|
|
}
|
|
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(i,r){e.valueLoc==null&&(e.valueLoc=i.getUniformLocationNoThrow(r,"value")),i.gl.uniform1f(e.valueLoc,t)}},n}();var S5=function(){function n(t,e,i){this.variableNames=["A","indices"];var r=t.slice();r[i]=e,this.outputShape=r,this.rank=r.length;var a=Je(this.rank),s=w5(t,i);this.userCode=`
|
|
void main() {
|
|
`+a+` resRC = getOutputCoords();
|
|
setOutput(getA(`+s+`));
|
|
}
|
|
`}return n}();function w5(n,t){var e=n.length;if(e>4)throw Error("Gather for rank "+e+" is not yet supported");if(e===1)return"int(getIndices(resRC))";for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],r=[],a=0;a<n.length;a++)a===t?r.push("int(getIndices("+i[a]+"))"):r.push(""+i[a]);return r.join()}var L5=function(){function n(t,e,i){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=i;var r=Je(e.length),a=Je(i.length),s=this.sliceDim>1?"strides[j]":"strides";this.userCode=`
|
|
`+r+" strides = "+r+"("+this.strides+`);
|
|
void main() {
|
|
`+a+` coords = getOutputCoords();
|
|
int flattenIndex = 0;
|
|
for (int j = 0; j < `+this.sliceDim+`; j++) {
|
|
int index = round(getIndices(coords[0], j));
|
|
flattenIndex += index * `+s+`;
|
|
}
|
|
setOutput(getX(flattenIndex, coords[1]));
|
|
}
|
|
`}return n}();function lS(n){var t=Dt(),e=t.version+`
|
|
precision highp float;
|
|
`+t.attribute+` vec3 clipSpacePos;
|
|
`+t.attribute+` vec2 uv;
|
|
`+t.varyingVs+` vec2 resultUV;
|
|
|
|
void main() {
|
|
gl_Position = vec4(clipSpacePos, 1);
|
|
resultUV = uv;
|
|
}`;return w0(n,e)}function uS(n){var t=new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]);return A0(n,t)}function cS(n){var t=new Uint16Array([0,1,2,2,1,3]);return T0(n,t)}function rs(n,t,e,i,r,a){x0(t,e);var s=N0(n),o=n.TEXTURE_2D;return ce(n,function(){return n.bindTexture(o,s)}),ce(n,function(){return n.texParameteri(o,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE)}),ce(n,function(){return n.texParameteri(o,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE)}),ce(n,function(){return n.texParameteri(o,n.TEXTURE_MIN_FILTER,n.NEAREST)}),ce(n,function(){return n.texParameteri(o,n.TEXTURE_MAG_FILTER,n.NEAREST)}),ce(n,function(){return n.texImage2D(o,0,i,t,e,0,r,a,null)}),ce(n,function(){return n.bindTexture(n.TEXTURE_2D,null)}),s}function Bd(n){return n.internalFormatFloat}function hS(n,t,e,i){var r=Qa(t,e),a=r[0],s=r[1];return rs(n,a,s,Bd(i),i.textureFormatFloat,n.FLOAT)}function zd(n){return n.internalFormatHalfFloat}function dS(n,t,e,i){var r=Qa(t,e),a=r[0],s=r[1];return rs(n,a,s,zd(i),i.textureFormatFloat,i.textureTypeHalfFloat)}function Pd(n){return n.downloadTextureFormat}function pS(n,t,e,i){var r=Qa(t,e),a=r[0],s=r[1];return rs(n,a,s,Pd(i),n.RGBA,n.UNSIGNED_BYTE)}function _d(n){return n.internalFormatPackedFloat}function fS(n,t,e,i){var r=Xr(t,e),a=r[0],s=r[1];return rs(n,a,s,_d(i),n.RGBA,n.FLOAT)}function Md(n){return n.internalFormatPackedHalfFloat}function mS(n,t,e,i){var r=Xr(t,e),a=r[0],s=r[1];return rs(n,a,s,Md(i),n.RGBA,i.textureTypeHalfFloat)}function gS(n,t,e){var i=0,r=3*4,a=3*4+2*4;ce(n,function(){return n.bindBuffer(n.ARRAY_BUFFER,e)});var s=Rd(n,t,"clipSpacePos",e,3,a,i);return s&&Rd(n,t,"uv",e,2,a,r)}function vS(n,t,e,i,r,a){ce(n,function(){return n.bindTexture(n.TEXTURE_2D,t)});var s,o,l;r instanceof Uint8Array?(s=new Uint8Array(e*i*4),o=n.UNSIGNED_BYTE,l=n.RGBA):(s=new Float32Array(e*i*4),o=n.FLOAT,l=a.internalFormatPackedFloat),s.set(r),ce(n,function(){return n.texImage2D(n.TEXTURE_2D,0,l,e,i,0,n.RGBA,o,s)}),ce(n,function(){return n.bindTexture(n.TEXTURE_2D,null)})}function yS(n,t,e){ce(n,function(){return n.bindTexture(n.TEXTURE_2D,t)}),e.data instanceof Uint8Array?ce(n,function(){return n.texImage2D(n.TEXTURE_2D,0,n.RGBA,e.width,e.height,0,n.RGBA,n.UNSIGNED_BYTE,e.data)}):ce(n,function(){return n.texImage2D(n.TEXTURE_2D,0,n.RGBA,n.RGBA,n.UNSIGNED_BYTE,e)}),ce(n,function(){return n.bindTexture(n.TEXTURE_2D,null)})}function bS(n,t,e,i){var r=n.createBuffer();ce(n,function(){return n.bindBuffer(n.PIXEL_PACK_BUFFER,r)});var a=4,s=4,o=a*s*t*e;return ce(n,function(){return n.bufferData(n.PIXEL_PACK_BUFFER,o,n.STREAM_READ)}),ce(n,function(){return n.readPixels(0,0,e,t,n.RGBA,n.FLOAT,0)}),ce(n,function(){return n.bindBuffer(n.PIXEL_PACK_BUFFER,null)}),r}function wS(n,t,e){var i=n,r=new Float32Array(e);return i.bindBuffer(i.PIXEL_PACK_BUFFER,t),i.getBufferSubData(i.PIXEL_PACK_BUFFER,0,r),i.bindBuffer(i.PIXEL_PACK_BUFFER,null),r}function SS(n,t,e,i){var r=Qa(t,e),a=r[0],s=r[1],o=4,l=new Uint8Array(jP(t*e,o));return ce(n,function(){return n.readPixels(0,0,a,s,i.downloadTextureFormat,n.UNSIGNED_BYTE,l)}),new Float32Array(l.buffer)}function LS(n,t,e,i,r,a,s,o){var l=n,u=new Float32Array($P(a,s));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 IS(n,t,e){var i=new Float32Array(t*e*4);return ce(n,function(){return n.readPixels(0,0,e,t,n.RGBA,n.FLOAT,i)}),i}var I5={__proto__:null,createVertexShader:lS,createVertexBuffer:uS,createIndexBuffer:cS,getInternalFormatForFloat32MatrixTexture:Bd,createFloat32MatrixTexture:hS,getInternalFormatForFloat16MatrixTexture:zd,createFloat16MatrixTexture:dS,getInternalFormatForUnsignedBytesMatrixTexture:Pd,createUnsignedBytesMatrixTexture:pS,getInternalFormatForPackedMatrixTexture:_d,createPackedMatrixTexture:fS,getInternalFormatForFloat16PackedMatrixTexture:Md,createFloat16PackedMatrixTexture:mS,bindVertexProgramAttributeStreams:gS,uploadDenseMatrixToTexture:vS,uploadPixelDataToTexture:yS,createBufferFromOutputTexture:bS,downloadFloat32MatrixFromBuffer:wS,downloadByteEncodedFloatMatrixFromOutputTexture:SS,downloadPackedMatrixFromBuffer:LS,downloadMatrixFromPackedOutputTexture:IS};var AS=function(){function n(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=N.env().getNumber("WEBGL_VERSION");t!=null?(this.gl=t,v0(e,t)):this.gl=Wn(e);var i="WEBGL_color_buffer_float",r="EXT_color_buffer_half_float";if(N.env().getNumber("WEBGL_VERSION")===1){var a="OES_texture_float",s="OES_texture_half_float";if(this.textureFloatExtension=ts(this.gl,a),tn(this.gl,s))this.textureHalfFloatExtension=ts(this.gl,s);else if(N.env().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(i),tn(this.gl,r))this.colorBufferHalfFloatExtension=ts(this.gl,r);else if(N.env().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(i="EXT_color_buffer_float",tn(this.gl,i))this.colorBufferFloatExtension=this.gl.getExtension(i);else if(tn(this.gl,r))this.colorBufferHalfFloatExtension=this.gl.getExtension(r);else throw new Error("GL context does not support color renderable floats");this.vertexBuffer=uS(this.gl),this.indexBuffer=cS(this.gl),this.framebuffer=C0(this.gl),this.textureConfig=Cd(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(n.prototype,"debug",{get:function(){return N.env().getBool("DEBUG")},enumerable:!0,configurable:!0}),n.prototype.dispose=function(){var t=this;if(this.disposed)return;this.program!=null&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),this.outputTexture!=null&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture. This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;ce(e,function(){return e.finish()}),ce(e,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),ce(e,function(){return e.deleteFramebuffer(t.framebuffer)}),ce(e,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),ce(e,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),ce(e,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0},n.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),hS(this.gl,t,e,this.textureConfig)},n.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),dS(this.gl,t,e,this.textureConfig)},n.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),pS(this.gl,t,e,this.textureConfig)},n.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),yS(this.gl,t,e)},n.prototype.uploadDenseMatrixToTexture=function(t,e,i,r){this.throwIfDisposed(),vS(this.gl,t,e,i,r,this.textureConfig)},n.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),mS(this.gl,t,e,this.textureConfig)},n.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),fS(this.gl,t,e,this.textureConfig)},n.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(Od(this.gl,this.framebuffer),this.outputTexture=null),ce(this.gl,function(){return e.gl.deleteTexture(t)})},n.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,i){var r=this;return this.downloadMatrixDriver(t,function(){return SS(r.gl,e,i,r.textureConfig)})},n.prototype.downloadPackedMatrixFromBuffer=function(t,e,i,r,a,s){return LS(this.gl,t,e,i,r,a,s,this.textureConfig)},n.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return wS(this.gl,t,e)},n.prototype.createBufferFromTexture=function(t,e,i){this.bindTextureToFrameBuffer(t);var r=bS(this.gl,e,i,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},n.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},n.prototype.createFence=function(t){var e=this,i,r;if(N.env().getBool("WEBGL_FENCE_API_ENABLED")){var a=t,s=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),r=function(){var o=a.clientWaitSync(s,0,0);return o===a.ALREADY_SIGNALED||o===a.CONDITION_SATISFIED},i=s}else N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(i=this.beginQuery(),this.endQuery(),r=function(){return e.isQueryAvailable(i,N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):r=function(){return!0};return{query:i,isFencePassed:r}},n.prototype.downloadMatrixFromPackedTexture=function(t,e,i){var r=this;return this.downloadMatrixDriver(t,function(){return IS(r.gl,e,i)})},n.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,i=S0(e,t),r=lS(e),a=L0(e);return ce(e,function(){return e.attachShader(a,r)}),ce(e,function(){return e.attachShader(a,i)}),I0(e,a),this.debug&&Wo(e,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=gS(e,this.program,this.vertexBuffer)),a},n.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),t!=null&&ce(this.gl,function(){return e.gl.deleteProgram(t)})},n.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,this.program!=null&&this.debug&&Wo(this.gl,this.program),ce(this.gl,function(){return e.gl.useProgram(t)})},n.prototype.getUniformLocation=function(t,e,i){return i===void 0&&(i=!0),this.throwIfDisposed(),i?E0(this.gl,t,e):D0(this.gl,t,e)},n.prototype.getAttributeLocation=function(t,e){var i=this;return this.throwIfDisposed(),ce(this.gl,function(){return i.gl.getAttribLocation(t,e)})},n.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},n.prototype.setInputMatrixTexture=function(t,e,i){this.throwIfDisposed(),this.throwIfNoProgram(),k0(this.gl,t,e,i)},n.prototype.setOutputMatrixTexture=function(t,e,i){this.setOutputMatrixTextureDriver(t,i,e)},n.prototype.setOutputPackedMatrixTexture=function(t,e,i){this.throwIfDisposed();var r=Xr(e,i),a=r[0],s=r[1];this.setOutputMatrixTextureDriver(t,a,s)},n.prototype.setOutputMatrixWriteRegion=function(t,e,i,r){this.setOutputMatrixWriteRegionDriver(i,t,r,e)},n.prototype.setOutputPackedMatrixWriteRegion=function(t,e,i,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},n.prototype.debugValidate=function(){this.program!=null&&Wo(this.gl,this.program),ns(this.gl)},n.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),ce(t,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},n.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),ce(this.gl,function(){return t.gl.finish()})},n.prototype.getQueryTimerExtension=function(){return this.disjointQueryTimerExtension==null&&(this.disjointQueryTimerExtension=ts(this.gl,N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},n.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},n.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},n.prototype.beginQuery=function(){if(N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),i=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,i),i}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},n.prototype.endQuery=function(){if(N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")===2){var t=this.gl,e=this.getQueryTimerExtensionWebGL2();t.endQuery(e.TIME_ELAPSED_EXT);return}var i=this.getQueryTimerExtensionWebGL1();i.endQueryEXT(i.TIME_ELAPSED_EXT)},n.prototype.waitForQueryAndGetTime=function(t){return ko(this,void 0,void 0,function(){var e=this;return Fo(this,function(i){switch(i.label){case 0:return[4,N.util.repeatedTry(function(){return e.disposed||e.isQueryAvailable(t,N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return i.sent(),[2,this.getQueryTime(t,N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},n.prototype.getQueryTime=function(t,e){if(e===0)return null;if(e===2){var i=this.gl,r=i.getQueryParameter(t,i.QUERY_RESULT);return r/1e6}else{var a=this.getQueryTimerExtensionWebGL1(),r=a.getQueryObjectEXT(t,a.QUERY_RESULT_EXT);return r/1e6}},n.prototype.isQueryAvailable=function(t,e){if(e===0)return!0;if(e===2){var i=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=i.getQueryParameter(t,i.QUERY_RESULT_AVAILABLE);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}else{var r=this.getQueryTimerExtensionWebGL1(),a=r.getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT);return this.disjoint==null&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}},n.prototype.pollFence=function(t){var e=this;return new Promise(function(i){e.addItemToPoll(function(){return t.isFencePassed()},function(){return i()})})},n.prototype.pollItems=function(){for(var t=A5(this.itemsToPoll.map(function(r){return r.isDoneFn})),e=0;e<=t;++e){var i=this.itemsToPoll[e].resolveFn;i()}this.itemsToPoll=this.itemsToPoll.slice(t+1)},n.prototype.addItemToPoll=function(t,e){var i=this;if(this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1)return;N.util.repeatedTry(function(){return i.pollItems(),i.itemsToPoll.length===0})},n.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),Uo(this.gl,t,this.framebuffer),this.debug&&ns(this.gl)},n.prototype.unbindTextureToFrameBuffer=function(){this.outputTexture!=null?(Uo(this.gl,this.outputTexture,this.framebuffer),this.debug&&ns(this.gl)):Od(this.gl,this.framebuffer)},n.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var i=e();return this.unbindTextureToFrameBuffer(),i},n.prototype.setOutputMatrixTextureDriver=function(t,e,i){this.throwIfDisposed();var r=this.gl;Uo(r,t,this.framebuffer),this.debug&&ns(r),this.outputTexture=t,ce(r,function(){return r.viewport(0,0,e,i)}),ce(r,function(){return r.scissor(0,0,e,i)})},n.prototype.setOutputMatrixWriteRegionDriver=function(t,e,i,r){var a=this;this.throwIfDisposed(),ce(this.gl,function(){return a.gl.scissor(t,e,i,r)})},n.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},n.prototype.throwIfNoProgram=function(){if(this.program==null)throw new Error("No GPU program is currently set.")},n}();function A5(n){for(var t=0;t<n.length;++t){var e=n[t]();if(!e)break}return t-1}function T5(n,t,e,i){var r=t.userCode,a=e.map(function(g,v){var b={logicalShape:g.shape,texShape:g.isUniform?null:g.texData.texShape,isUniform:g.isUniform,isPacked:g.isUniform?!1:g.texData.isPacked,flatOffset:null};return g.texData!=null&&g.texData.slice!=null&&g.texData.slice.flatOffset>0&&(b.flatOffset=g.texData.slice.flatOffset),{name:t.variableNames[v],shapeInfo:b}}),s=a.map(function(g){return g.shapeInfo}),o={logicalShape:i.shape,texShape:i.texData.texShape,isUniform:!1,isPacked:i.texData.isPacked,flatOffset:null},l=K_(a,o,r,t.packedInputs),u=n.createProgram(l),c=null,h=n.getUniformLocation(u,"NAN",!1);N.env().getNumber("WEBGL_VERSION")===1&&(c=n.getUniformLocation(u,"INFINITY",!1));for(var d={},p=0;p<t.variableNames.length;p++){var f=t.variableNames[p],m=!1;d[f]=n.getUniformLocation(u,f,m),d["offset"+f]=n.getUniformLocation(u,"offset"+f,m)}return{program:t,source:l,webGLProgram:u,uniformLocations:d,inShapeInfos:s,outShapeInfo:o,infLoc:c,nanLoc:h}}function TS(n,t){if(n.length!==t.length)throw Error("Binary was compiled with "+n.length+" inputs, but "+("was executed with "+t.length+" inputs"));n.forEach(function(e,i){var r=e.logicalShape,a=t[i],s=a.shape;if(!N.util.arraysEqual(r,s))throw Error("Binary was compiled with different shapes than "+("the current args. Shapes "+r+" and "+s+" must match"));if(e.isUniform&&a.isUniform)return;var o=e.texShape,l=a.isUniform?null:a.texData.texShape;if(!N.util.arraysEqual(o,l))throw Error("Binary was compiled with different texture shapes than the"+(" current args. Shape "+o+" and "+l+" must match"))})}function N5(n,t,e,i,r){TS(t.inShapeInfos,e),TS([t.outShapeInfo],[i]);var a=i.texData.texture,s=i.texData.texShape;i.texData.isPacked?n.setOutputPackedMatrixTexture(a,s[0],s[1]):n.setOutputMatrixTexture(a,s[0],s[1]),n.setProgram(t.webGLProgram),N.env().getNumber("WEBGL_VERSION")===1&&(t.infLoc!==null&&n.gl.uniform1f(t.infLoc,Infinity)),t.nanLoc!==null&&n.gl.uniform1f(t.nanLoc,NaN),e.forEach(function(o,l){var u=t.program.variableNames[l],c=t.uniformLocations[u],h=t.uniformLocations["offset"+u];if(c==null)return;if(o.isUniform){if(N.util.sizeFromShape(o.shape)<2)n.gl.uniform1f(c,o.uniformValues[0]);else{var d=o.uniformValues;d instanceof Float32Array||(d=new Float32Array(d)),n.gl.uniform1fv(c,d)}return}o.texData.slice!=null&&h!=null&&n.gl.uniform1i(h,o.texData.slice.flatOffset),n.setInputMatrixTexture(o.texData.texture,c,l)}),r!=null&&r(n,t.webGLProgram),n.executeProgram()}function x5(n,t,e){var i="";t.concat(e).forEach(function(s){var o=s.texData!=null&&s.texData.slice!=null&&s.texData.slice.flatOffset>0,l=s.isUniform?"uniform":s.texData.texShape;i+=s.shape+"_"+l+"_"+o});var r=n.userCode,a=n.constructor.name;return a+="_"+i+"_"+r,a}var C5=function(){function n(t,e,i){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=i.filterWidth,a=i.inChannels,s=i.strideWidth,o=i.strideHeight,l=i.padInfo,u=i.outWidth,c=i.dilationWidth,h=i.dilationHeight,d=i.dataFormat,p=l.left,f=l.top,m=a*r,g=Dt(),v=d==="channelsLast",b=v?0:1,w=v?1:2,S="",L=0;L<=1;L++)for(var x=0;x<=1;x++)S+=`
|
|
blockIndex = rc.y + `+x+`;
|
|
pos = rc.x + `+L+`;
|
|
|
|
if(blockIndex < `+t[1]+" && pos < "+t[0]+`) {
|
|
offsetY = int(blockIndex / (`+u+")) * "+o+" - "+f+`;
|
|
d0 = offsetY + `+h+" * (pos / "+m+`);
|
|
|
|
if(d0 < `+e[b]+` && d0 >= 0) {
|
|
|
|
offsetX = int(mod(float(blockIndex), `+u+".) * "+s+". - "+p+`.);
|
|
d1 = offsetX + `+c+" * (int(mod(float(pos), "+m+".) / "+a+`.));
|
|
|
|
if(d1 < `+e[w]+` && d1 >= 0) {
|
|
|
|
ch = int(mod(float(pos), `+a+`.));
|
|
|
|
if (`+v+`) {
|
|
innerDims = vec2(d1, ch);
|
|
result[`+(L*2+x)+`] = getChannel(
|
|
getA(d0, int(innerDims.x),
|
|
int(innerDims.y)), innerDims);
|
|
} else {
|
|
innerDims = vec2(d0, d1);
|
|
result[`+(L*2+x)+`] = getChannel(
|
|
getA(ch, int(innerDims.x),
|
|
int(innerDims.y)), innerDims);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
`;this.userCode=`
|
|
void main() {
|
|
ivec2 rc = getOutputCoords();
|
|
|
|
vec4 result = vec4(0);
|
|
|
|
int blockIndex, pos, offsetY, d0, offsetX, d1, ch;
|
|
vec2 innerDims;
|
|
|
|
`+S+`
|
|
|
|
`+g.output+` = result;
|
|
}
|
|
`}return n}();var R5=function(){function n(t,e,i,r,a){this.variableNames=["x"],this.outputShape=[];var s=e,o=t[3]-1;this.outputShape=t;var l,u="float("+i+") + float("+r+") * sum";a===.5?l="inversesqrt("+u+")":a===1?l="1.0/("+u+")":l="exp(log("+u+") * float(-"+a+"));",this.userCode=`
|
|
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 <= `+o+`) {
|
|
float z = getX(b, r, c, idx);
|
|
sum += z * z;
|
|
}
|
|
}
|
|
float val = x * `+l+`;
|
|
setOutput(val);
|
|
}
|
|
`}return n}();var O5=function(){function n(t,e,i,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=i,this.alpha=r,this.beta=a,this.userCode=`
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int b = coords[0];
|
|
int r = coords[1];
|
|
int c = coords[2];
|
|
|
|
float result = 0.0;
|
|
for (int d = 0; d < `+this.depth+`; ++d) {
|
|
int depthBegin = int(max(0.0, float(d - `+e+`)));
|
|
int depthEnd = int(min(float(`+this.depth+`),
|
|
float(d + `+e+` + 1)));
|
|
|
|
const int MIN_DEPTH_BEGIN = 0;
|
|
const int MAX_DEPTH_END = `+this.depth+`;
|
|
|
|
float norm = 0.0;
|
|
for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {
|
|
if (k < depthBegin){
|
|
continue;
|
|
}
|
|
else if (k >= depthBegin && k < depthEnd) {
|
|
norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);
|
|
}
|
|
else {
|
|
break;
|
|
}
|
|
}
|
|
|
|
norm = float(`+r+") * norm + float("+i+`);
|
|
|
|
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(`+r+`)
|
|
* float(`+a+`)
|
|
* getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
|
|
/ norm;
|
|
if (k == d) {
|
|
dyi += pow(norm, -1.0 * `+a+`);
|
|
}
|
|
if (k == coords[3]) {
|
|
dyi *= getDy(b, r, c, d);
|
|
result += dyi;
|
|
}
|
|
}
|
|
else {
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
setOutput(result);
|
|
}
|
|
`}return n}();var E5=function(){function n(t,e,i,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var s=e,o=t[3]-1;this.outputShape=t;var l,u="float("+i+") + float("+r+") * sum";a===.5?l="inversesqrt("+u+")":a===1?l="1.0/("+u+")":l="exp(log("+u+") * float(-"+a+"));",this.userCode=`
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int b = coords.x;
|
|
int r = coords.y;
|
|
int c = coords.z;
|
|
int d = coords.w;
|
|
|
|
bool hasNextCol = d < `+this.outputShape[3]+`;
|
|
bool hasNextRow = c < `+this.outputShape[2]+`;
|
|
|
|
vec4 sum = vec4(0.);
|
|
vec4 xFragAtOutputCoords = getX(b, r, c, d);
|
|
|
|
vec4 xAtOutputCoords = vec4(
|
|
getChannel(xFragAtOutputCoords, vec2(c, d)),
|
|
hasNextCol ?
|
|
getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,
|
|
hasNextRow ?
|
|
getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,
|
|
(hasNextRow && hasNextCol) ?
|
|
getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0
|
|
);
|
|
|
|
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));
|
|
}
|
|
}
|
|
|
|
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(`+o+`));
|
|
|
|
bool depthInRange = aboveLowerBound.x && belowUpperBound.x;
|
|
bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;
|
|
|
|
if(depthInRange || depthPlusOneInRange){
|
|
vec4 z = vec4(0.);
|
|
vec4 xFragAtCurrentDepth;
|
|
z.xz = cache.xy;
|
|
if(depthPlusOneInRange && hasNextCol){
|
|
xFragAtCurrentDepth = idx.y != d ?
|
|
getX(b, r, c, idx.y) : xFragAtOutputCoords;
|
|
z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));
|
|
if(hasNextRow){
|
|
z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));
|
|
}
|
|
}
|
|
cache.xy = z.yw;
|
|
sum += z * z;
|
|
}
|
|
}
|
|
vec4 result = xAtOutputCoords * `+l+`;
|
|
setOutput(result);
|
|
}
|
|
`}return n}();var D5=function(){function n(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,i=t.strideWidth,r=t.dilationHeight,a=t.effectiveFilterHeight,s=t.effectiveFilterWidth,o=a-1-t.padInfo.top,l=s-1-t.padInfo.left,u=a*s-1;this.userCode=`
|
|
const ivec2 pads = ivec2(`+o+", "+l+`);
|
|
|
|
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 < `+a+`;
|
|
wR += `+r+`) {
|
|
float dyR = float(dyRCorner + wR) / `+e+`.0;
|
|
|
|
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 || fract(dyR) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyR = int(dyR);
|
|
|
|
for (int wC = 0; wC < `+s+`; wC++) {
|
|
float dyC = float(dyCCorner + wC) / `+i+`.0;
|
|
|
|
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
|
|
fract(dyC) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyC = int(dyC);
|
|
|
|
float dyValue = getDy(b, idyR, idyC, d);
|
|
int maxPosValue = `+u+` - int(getMaxPos(b, idyR, idyC, d));
|
|
|
|
// 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);
|
|
|
|
dotProd += dyValue * mask;
|
|
}
|
|
}
|
|
setOutput(dotProd);
|
|
}
|
|
`}return n}(),k5=function(){function n(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,i=t.strideHeight,r=t.strideWidth,a=t.dilationDepth,s=t.dilationHeight,o=t.dilationWidth,l=t.effectiveFilterDepth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,h=l-1-t.padInfo.front,d=u-1-t.padInfo.top,p=c-1-t.padInfo.left,f=l*u*c-1;this.userCode=`
|
|
const ivec3 pads = ivec3(`+h+", "+d+", "+p+`);
|
|
|
|
void main() {
|
|
ivec5 coords = getOutputCoords();
|
|
int batch = coords.x;
|
|
int ch = coords.u;
|
|
|
|
ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;
|
|
int dyDCorner = dyCorner.x;
|
|
int dyRCorner = dyCorner.y;
|
|
int dyCCorner = dyCorner.z;
|
|
|
|
// Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get
|
|
// dx(xD, xR, xC, ch).
|
|
// ? = to be determined. : = across all values in that axis.
|
|
float dotProd = 0.0;
|
|
|
|
for (int wD = 0; wD < `+l+`;
|
|
wD += `+a+`) {
|
|
float dyD = float(dyDCorner + wD) / `+e+`.0;
|
|
|
|
if (dyD < 0.0 || dyD >= `+t.outDepth+`.0 || fract(dyD) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyD = int(dyD);
|
|
|
|
for (int wR = 0; wR < `+u+`;
|
|
wR += `+s+`) {
|
|
float dyR = float(dyRCorner + wR) / `+i+`.0;
|
|
|
|
if (dyR < 0.0 || dyR >= `+t.outHeight+`.0 ||
|
|
fract(dyR) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyR = int(dyR);
|
|
|
|
for (int wC = 0; wC < `+c+`;
|
|
wC += `+o+`) {
|
|
float dyC = float(dyCCorner + wC) / `+r+`.0;
|
|
|
|
if (dyC < 0.0 || dyC >= `+t.outWidth+`.0 ||
|
|
fract(dyC) > 0.0) {
|
|
continue;
|
|
}
|
|
int idyC = int(dyC);
|
|
|
|
float dyValue = getDy(batch, idyD, idyR, idyC, ch);
|
|
int maxPosValue = `+f+` -
|
|
int(getMaxPos(batch, idyD, idyR, idyC, ch));
|
|
|
|
// Get the current value, check it against the value from the
|
|
// position matrix.
|
|
int curPosValue =
|
|
wD * `+u+" * "+c+` +
|
|
wR * `+c+` + wC;
|
|
float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);
|
|
|
|
dotProd += dyValue * mask;
|
|
}
|
|
}
|
|
}
|
|
setOutput(dotProd);
|
|
}
|
|
`}return n}();var Hd=function(){function n(t,e,i,r,a,s,o){i===void 0&&(i=!1),r===void 0&&(r=!1),a===void 0&&(a=!1),s===void 0&&(s=null),o===void 0&&(o=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var l=i?t[1]:t[2],u=Math.ceil(l/2),c=i?"i * 2, rc.y":"rc.y, i * 2",h=r?"rc.z, i * 2":"i * 2, rc.z",d=i?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],p=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",m="";s&&(o?f=`vec4 activation(vec4 a) {
|
|
vec4 b = getPreluActivationWeightsAtOutCoords();
|
|
`+s+`
|
|
}`:f=`vec4 activation(vec4 x) {
|
|
`+s+`
|
|
}`,m="result = activation(result);");var g=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode=`
|
|
`+f+`
|
|
|
|
const float sharedDimension = `+u+`.0;
|
|
|
|
vec4 dot2x2ARowBCol(ivec3 rc) {
|
|
vec4 result = vec4(0);
|
|
for (int i = 0; i < `+u+`; i++) {
|
|
vec4 a = getMatrixA(rc.x, `+c+`);
|
|
vec4 b = getMatrixB(rc.x, `+h+`);
|
|
|
|
// These swizzled products need to be separately added.
|
|
// See: https://github.com/tensorflow/tfjs/issues/1735
|
|
result += (`+d[0]+" * "+p[0]+`);
|
|
result += (`+d[1]+" * "+p[1]+`);
|
|
}
|
|
return result;
|
|
}
|
|
|
|
void main() {
|
|
ivec3 rc = getOutputCoords();
|
|
vec4 result = dot2x2ARowBCol(rc);
|
|
|
|
`+g+`
|
|
|
|
`+m+`
|
|
|
|
setOutput(result);
|
|
}
|
|
`}return n}();var F5=function(){function n(t,e,i){this.variableNames=["probs"],this.outputShape=[t,i],this.userCode=`
|
|
uniform float seed;
|
|
|
|
void main() {
|
|
ivec2 coords = getOutputCoords();
|
|
int batch = coords[0];
|
|
|
|
float r = random(seed);
|
|
float cdf = 0.0;
|
|
|
|
for (int i = 0; i < `+(e-1)+`; i++) {
|
|
cdf += getProbs(batch, i);
|
|
|
|
if (r < cdf) {
|
|
setOutput(float(i));
|
|
return;
|
|
}
|
|
}
|
|
|
|
// If no other event happened, last event happened.
|
|
setOutput(float(`+(e-1)+`));
|
|
}
|
|
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;return function(i,r){e.seedLoc==null&&(e.seedLoc=i.getUniformLocation(r,"seed")),i.gl.uniform1f(e.seedLoc,t)}},n}();var W5=function(){function n(t,e,i,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode=`
|
|
void main() {
|
|
ivec2 coords = getOutputCoords();
|
|
int index = round(getIndices(coords.x));
|
|
setOutput(mix(float(`+r+"), float("+i+`),
|
|
float(index == coords.y)));
|
|
}
|
|
`}return n}();var P5=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(e===0)this.userCode=`
|
|
void main() {
|
|
setOutput(vec4(getA(), 0., 0., 0.));
|
|
}
|
|
`;else{var i=jt("rc",e),r=Je(e),a=U5(e,t,i),s=B5(e,t[t.length-1],t[t.length-2],i),o=z5(t,i);this.userCode=`
|
|
void main() {
|
|
`+r+` rc = getOutputCoords();
|
|
|
|
if(`+a+`) {
|
|
setOutput(vec4(0));
|
|
} else {
|
|
`+s+`
|
|
|
|
setOutput(vec4(`+o+`));
|
|
}
|
|
}
|
|
`}}return n}();function _5(n,t){for(var e=[],i=0;i<=1;i++)for(var r=0;r<=1;r++){for(var a=(i===0?"r":"rp1")+", "+(r===0?"c":"cp1"),s=2;s<n;s++)a=t[t.length-1-s]+","+a;e.push(a)}return e}function U5(n,t,e){if(n===1)return"rc > "+t[0];for(var i="",r=n-2;r<n;r++)i+=e[r]+" >= "+t[r],r<n-1&&(i+="||");return i}function B5(n,t,e,i){if(n===1)return"";var r=i.slice(-2);return`
|
|
int r = `+r[0]+`;
|
|
int c = `+r[1]+`;
|
|
int rp1 = r + 1;
|
|
int cp1 = c + 1;
|
|
|
|
bool cEdge = cp1 >= `+t+`;
|
|
bool rEdge = rp1 >= `+e+`;
|
|
`}function z5(n,t){var e=n.length,i=_5(e,t);return e===1?`getA(rc),
|
|
rc + 1 >= `+n[0]+` ? 0. : getA(rc + 1),
|
|
0, 0`:"getA("+i[0]+`),
|
|
cEdge ? 0. : getA(`+i[1]+`),
|
|
rEdge ? 0. : getA(`+i[2]+`),
|
|
rEdge || cEdge ? 0. : getA(`+i[3]+")"}var M5=function(){function n(t,e,i){this.variableNames=["x"],this.outputShape=e.map(function(u,c){return u[0]+t[c]+u[1]});var r=t.length,a=Je(r),s=e.map(function(u){return u[0]}).join(","),o=e.map(function(u,c){return u[0]+t[c]}).join(","),l=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);if(r===1){this.userCode=`
|
|
int start = `+s+`;
|
|
int end = `+o+`;
|
|
|
|
void main() {
|
|
int outC = getOutputCoords();
|
|
if (outC < start || outC >= end) {
|
|
setOutput(float(`+i+`));
|
|
} else {
|
|
setOutput(getX(outC - start));
|
|
}
|
|
}
|
|
`;return}this.userCode=`
|
|
`+a+" start = "+a+"("+s+`);
|
|
`+a+" end = "+a+"("+o+`);
|
|
|
|
void main() {
|
|
`+a+` outC = getOutputCoords();
|
|
if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {
|
|
setOutput(float(`+i+`));
|
|
} else {
|
|
`+a+` coords = outC - start;
|
|
setOutput(getX(`+l+`));
|
|
}
|
|
}
|
|
`}return n}();var H5=function(){function n(t,e,i){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(v,b){return v[0]+t[b]+v[1]});for(var r=t.length,a=Je(r),s=e.map(function(v){return v[0]}).join(","),o=e.map(function(v,b){return v[0]+t[b]}).join(","),l=jt("rc",r),u=jt("source",r),c=l[r-1]+" < "+this.outputShape[r-1],h=r===1?"source":"vec2("+u.slice(-2).join()+")",d=[a+" rc = outputLoc;",l[r-1]+` += 1;
|
|
if(`+c+`) {
|
|
`,r===1?"":`}
|
|
rc = outputLoc;
|
|
`+l[r-2]+` += 1;
|
|
if(`+l[r-2]+" < "+this.outputShape[r-2]+") {",r===1?"":" "+l[r-1]+` += 1;
|
|
if(`+c+") {"],p=r===1?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",m=0,g=r===1?2:4;m<g;m++)f+=`
|
|
`+d[m]+`
|
|
if (`+p+`) {
|
|
result[`+m+"] = float("+i+`);
|
|
} else {
|
|
`+a+` source = rc - start;
|
|
result[`+m+"] = getChannel(getX("+u.join()+"), "+h+`);
|
|
}
|
|
`;f+=r===1?"} ":"}}",this.userCode=`
|
|
const `+a+" start = "+a+"("+s+`);
|
|
const `+a+" end = "+a+"("+o+`);
|
|
|
|
void main() {
|
|
`+a+` outputLoc = getOutputCoords();
|
|
vec4 result = vec4(0.);
|
|
`+f+`
|
|
setOutput(result);
|
|
}
|
|
`}return n}();var as=function(){function n(t,e,i,r,a){if(r===void 0&&(r=!1),a===void 0&&(a=!1),this.variableNames=["x"],e==="avg"&&i)throw new Error("Cannot compute positions for average pool.");var s=t.filterWidth,o=t.strideHeight,l=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,h=t.effectiveFilterHeight,d=t.effectiveFilterWidth,p=t.padInfo.top,f=t.padInfo.left;this.outputShape=t.outShape;var m=e==="avg",g="((batch * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + d",v="(xR * "+t.inWidth+" + xC) * "+t.inChannels+" + d",b="0.0";if(m||(b="-1.0 / 1e-20"),i){var w=">=";this.userCode=`
|
|
const ivec2 strides = ivec2(`+o+", "+l+`);
|
|
const ivec2 pads = ivec2(`+p+", "+f+`);
|
|
|
|
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 < `+h+`;
|
|
wR += `+u+`) {
|
|
int xR = xRCorner + wR;
|
|
|
|
if (xR < 0 || xR >= `+t.inHeight+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wC = 0; wC < `+d+`;
|
|
wC += `+c+`) {
|
|
int xC = xCCorner + wC;
|
|
|
|
if (xC < 0 || xC >= `+t.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 `+w+` currMinMaxValue) {
|
|
minMaxValue = value;
|
|
minMaxValueFound = 1.0;
|
|
minMaxPosition = `+(r?a?g:v:"wR * "+d+" + wC")+`;
|
|
}
|
|
}
|
|
}
|
|
setOutput(float(minMaxPosition));
|
|
}
|
|
`;return}var S="max",L=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="avg"&&(L="avgValue / count");var x=Math.floor(s/4)*4,C=s%4,R=`
|
|
if (`+m+`) {
|
|
avgValue += dot(values, ones);
|
|
} else {
|
|
minMaxValue = `+S+`(values, minMaxValue);
|
|
}
|
|
`;this.userCode=`
|
|
const ivec2 strides = ivec2(`+o+", "+l+`);
|
|
const ivec2 pads = ivec2(`+p+", "+f+`);
|
|
const float initializationValue = `+b+`;
|
|
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 >= `+t.inWidth+`) {
|
|
return initializationValue;
|
|
}
|
|
count += 1.0;
|
|
return getX(batch, xR, xC, d);
|
|
}
|
|
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int batch = coords[0];
|
|
int d = coords[3];
|
|
|
|
ivec2 xRCCorner = coords.yz * strides - pads;
|
|
int xRCorner = xRCCorner.x;
|
|
int xCCorner = xRCCorner.y;
|
|
|
|
// max/min x(?, ?, d) to get y(yR, yC, d).
|
|
// ? = to be determined
|
|
vec4 minMaxValue = vec4(`+b+`);
|
|
float avgValue = 0.0;
|
|
count = 0.0;
|
|
|
|
for (int wR = 0; wR < `+h+`;
|
|
wR += `+u+`) {
|
|
int xR = xRCorner + wR;
|
|
|
|
if (xR < 0 || xR >= `+t.inHeight+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wC = 0; wC < `+x+`; wC += 4) {
|
|
int xC = xCCorner + wC * `+c+`;
|
|
|
|
vec4 values = vec4(
|
|
getValue(batch, xR, xC, d),
|
|
getValue(batch, xR, xC + `+c+`, d),
|
|
getValue(batch, xR, xC + 2 * `+c+`, d),
|
|
getValue(batch, xR, xC + 3 * `+c+`, d)
|
|
);
|
|
|
|
`+R+`
|
|
}
|
|
|
|
int xC = xCCorner + `+x+`;
|
|
if (`+(C===1)+`) {
|
|
vec4 values = vec4(
|
|
getValue(batch, xR, xC, d),
|
|
initializationValue,
|
|
initializationValue,
|
|
initializationValue
|
|
);
|
|
|
|
`+R+`
|
|
} else if (`+(C===2)+`) {
|
|
vec4 values = vec4(
|
|
getValue(batch, xR, xC, d),
|
|
getValue(batch, xR, xC + `+c+`, d),
|
|
initializationValue,
|
|
initializationValue
|
|
);
|
|
|
|
`+R+`
|
|
} else if (`+(C===3)+`) {
|
|
vec4 values = vec4(
|
|
getValue(batch, xR, xC, d),
|
|
getValue(batch, xR, xC + `+c+`, d),
|
|
getValue(batch, xR, xC + 2 * `+c+`, d),
|
|
initializationValue
|
|
);
|
|
|
|
`+R+`
|
|
}
|
|
}
|
|
setOutput(`+L+`);
|
|
}
|
|
`}return n}(),Vd=function(){function n(t,e,i,r,a){if(r===void 0&&(r=!1),a===void 0&&(a=!1),this.variableNames=["x"],e==="avg"&&i)throw new Error("Cannot compute positions for average pool.");var s=t.filterWidth,o=t.strideDepth,l=t.strideHeight,u=t.strideWidth,c=t.dilationDepth,h=t.dilationHeight,d=t.dilationWidth,p=t.effectiveFilterDepth,f=t.effectiveFilterHeight,m=t.effectiveFilterWidth,g=t.padInfo.front,v=t.padInfo.top,b=t.padInfo.left;this.outputShape=t.outShape;var w=e==="avg",S="0.0";if(w||(S="-1.0 / 1e-20"),i){var L=">=";this.userCode=`
|
|
const ivec3 strides =
|
|
ivec3(`+o+", "+l+", "+u+`);
|
|
const ivec3 pads = ivec3(`+g+", "+v+", "+b+`);
|
|
|
|
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 < `+p+`;
|
|
wD += `+c+`) {
|
|
int xD = xDCorner + wD;
|
|
|
|
if (xD < 0 || xD >= `+t.inDepth+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wR = 0; wR < `+f+`;
|
|
wR += `+h+`) {
|
|
int xR = xRCorner + wR;
|
|
|
|
if (xR < 0 || xR >= `+t.inHeight+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wC = 0; wC < `+m+`;
|
|
wC += `+d+`) {
|
|
int xC = xCCorner + wC;
|
|
|
|
if (xC < 0 || xC >= `+t.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);
|
|
if (value `+L+` currMinMaxValue) {
|
|
minMaxValue = value;
|
|
minMaxValueFound = 1.0;
|
|
minMaxPosition = `+(r?a?"(((batch * "+t.inDepth+" + xD) * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"((xD * "+t.inHeight+" + xR) * "+t.inWidth+" + xC) * "+t.inChannels+" + ch":"wD * "+f+" * "+m+` +
|
|
wR * `+m+" + wC")+`;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
setOutput(float(minMaxPosition));
|
|
}
|
|
`;return}var x="max",C=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="avg"&&(C="avgValue / count");var R=Math.floor(s/4)*4,D=s%4,k=`
|
|
if (`+w+`) {
|
|
avgValue += dot(values, ones);
|
|
} else {
|
|
minMaxValue = `+x+`(values, minMaxValue);
|
|
}
|
|
`;this.userCode=`
|
|
const ivec3 strides =
|
|
ivec3(`+o+", "+l+", "+u+`);
|
|
const ivec3 pads = ivec3(`+g+", "+v+", "+b+`);
|
|
const float initializationValue = `+S+`;
|
|
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 >= `+t.inWidth+`) {
|
|
return initializationValue;
|
|
}
|
|
count += 1.0;
|
|
return getX(batch, xD, xR, xC, ch);
|
|
}
|
|
|
|
void main() {
|
|
ivec5 coords = getOutputCoords();
|
|
int batch = coords.x;
|
|
int ch = coords.u;
|
|
|
|
ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;
|
|
int xDCorner = xCorner.x;
|
|
int xRCorner = xCorner.y;
|
|
int xCCorner = xCorner.z;
|
|
|
|
// max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).
|
|
// ? = to be determined
|
|
vec4 minMaxValue = vec4(`+S+`);
|
|
float avgValue = 0.0;
|
|
count = 0.0;
|
|
|
|
for (int wD = 0; wD < `+p+`;
|
|
wD += `+c+`) {
|
|
int xD = xDCorner + wD;
|
|
|
|
if (xD < 0 || xD >= `+t.inDepth+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wR = 0; wR < `+f+`;
|
|
wR += `+h+`) {
|
|
int xR = xRCorner + wR;
|
|
|
|
if (xR < 0 || xR >= `+t.inHeight+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int wC = 0; wC < `+R+`; 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)
|
|
);
|
|
|
|
`+k+`
|
|
}
|
|
|
|
int xC = xCCorner + `+R+`;
|
|
if (`+(D===1)+`) {
|
|
vec4 values = vec4(
|
|
getValue(batch, xD, xR, xC, ch),
|
|
initializationValue,
|
|
initializationValue,
|
|
initializationValue
|
|
);
|
|
|
|
`+k+`
|
|
} else if (`+(D===2)+`) {
|
|
vec4 values = vec4(
|
|
getValue(batch, xD, xR, xC, ch),
|
|
getValue(batch, xD, xR, xC + `+d+`, ch),
|
|
initializationValue,
|
|
initializationValue
|
|
);
|
|
|
|
`+k+`
|
|
} else if (`+(D===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
|
|
);
|
|
|
|
`+k+`
|
|
}
|
|
}
|
|
setOutput(`+C+`);
|
|
}
|
|
}
|
|
`}return n}();var NS=function(){function n(t,e){this.variableNames=["x"];var i=t.windowSize,r=t.batchSize,a=t.inSize,s=t.outSize;this.outputShape=[r,s];var o="0.0",l="";e==="prod"?o="1.0":e==="min"?(o="1.0 / 1e-20",l="min"):e==="max"&&(o="-1.0 / 1e-20",l="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";e==="sum"?u="sumValue":e==="prod"?u="prodValue":e==="all"?u="allValue":e==="any"&&(u="anyValue");var c=Math.floor(i/4)*4,h=i%4,d=`
|
|
if (`+(e==="sum")+`) {
|
|
sumValue += dot(values, ones);
|
|
} else if (`+(e==="prod")+`) {
|
|
vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);
|
|
prodValue *= tmp[0] * tmp[1];
|
|
} else {
|
|
minMaxValue = `+l+`(values, minMaxValue);
|
|
}
|
|
`,p="vec4";e==="all"?(o="1.0",d=`
|
|
bool reducedAllValue = all(values);
|
|
float floatedReducedAllValue = float(reducedAllValue);
|
|
allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);
|
|
`,p="bvec4"):e==="any"&&(o="0.0",d=`
|
|
bool reducedAnyValue = any(values);
|
|
float floatedReducedAnyValue = float(reducedAnyValue);
|
|
anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);
|
|
`,p="bvec4");var f="";a%i>0&&(f=`
|
|
if (inIdx < 0 || inIdx >= `+a+`) {
|
|
return initializationValue;
|
|
}
|
|
`),this.userCode=`
|
|
const float initializationValue = `+o+`;
|
|
const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);
|
|
|
|
float getValue(int batch, int inIdx) {
|
|
`+f+`
|
|
return getX(batch, inIdx);
|
|
}
|
|
|
|
void main() {
|
|
ivec2 coords = getOutputCoords();
|
|
int batch = coords[0];
|
|
int outIdx = coords[1];
|
|
int inOffset = outIdx * `+i+`;
|
|
|
|
vec4 minMaxValue = vec4(`+o+`);
|
|
float prodValue = 1.0;
|
|
float sumValue = 0.0;
|
|
float allValue = 1.0;
|
|
float anyValue = 0.0;
|
|
|
|
for (int i = 0; i < `+c+`; i += 4) {
|
|
int inIdx = inOffset + i;
|
|
`+p+" values = "+p+`(
|
|
getValue(batch, inIdx),
|
|
getValue(batch, inIdx + 1),
|
|
getValue(batch, inIdx + 2),
|
|
getValue(batch, inIdx + 3)
|
|
);
|
|
|
|
`+d+`
|
|
}
|
|
|
|
int inIdx = inOffset + `+c+`;
|
|
if (`+(h===1)+`) {
|
|
`+p+" values = "+p+`(
|
|
getValue(batch, inIdx),
|
|
initializationValue,
|
|
initializationValue,
|
|
initializationValue
|
|
);
|
|
|
|
`+d+`
|
|
} else if (`+(h===2)+`) {
|
|
`+p+" values = "+p+`(
|
|
getValue(batch, inIdx),
|
|
getValue(batch, inIdx + 1),
|
|
initializationValue,
|
|
initializationValue
|
|
);
|
|
|
|
`+d+`
|
|
} else if (`+(h===3)+`) {
|
|
`+p+" values = "+p+`(
|
|
getValue(batch, inIdx),
|
|
getValue(batch, inIdx + 1),
|
|
getValue(batch, inIdx + 2),
|
|
initializationValue
|
|
);
|
|
|
|
`+d+`
|
|
}
|
|
setOutput(`+u+`);
|
|
}
|
|
`}return n}();var xS=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var i="",r=0;r<4;r++){var a="thisRC = rc;";r%2===1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),i+=`
|
|
`+a+`
|
|
`+(r>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[`+r+`] =
|
|
getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);
|
|
`+(r>0?"}":"")+`
|
|
`}this.userCode=`
|
|
`+V5(e)+`
|
|
`+Fd(t)+`
|
|
|
|
void main() {
|
|
ivec3 rc = getOutputCoords();
|
|
|
|
vec4 result = vec4(0.);
|
|
|
|
ivec3 thisRC;
|
|
int rows = `+t[1]+`;
|
|
int cols = `+t[2]+`;
|
|
|
|
`+i+`
|
|
|
|
setOutput(result);
|
|
}
|
|
`}return n}();function V5(n){var t=or(["r","c","d"],n);return`
|
|
ivec3 inputCoordsFromReshapedOutCoords(int index) {
|
|
`+t+`
|
|
return ivec3(r, c, d);
|
|
}
|
|
`}var q5=function(){function n(t,e,i){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],s=r[2],o=t.shape,l=o[1],u=o[2],c=[i&&l>1?a-1:a,i&&u>1?s-1:s],h=[i&&l>1?l-1:l,i&&u>1?u-1:u],d=c[0]/h[0],p=c[1]/h[1],f=1/d,m=1/p,g=Math.ceil(f)*2+2,v=Math.ceil(m)*2+2;this.userCode=`
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int b = coords[0];
|
|
int d = coords[3];
|
|
int r = coords[1];
|
|
int c = coords[2];
|
|
|
|
float accumulator = 0.0;
|
|
|
|
const float heightScale = float(`+d+`);
|
|
const float widthScale = float(`+p+`);
|
|
|
|
const float invHeightScale = float(`+f+`);
|
|
const float invWidthScale = float(`+m+`);
|
|
|
|
const int winHeight = int(`+g+`);
|
|
const int winWidth = int(`+v+`);
|
|
|
|
// Compute bounds for where in dy we will look
|
|
float startRLerp = floor(float(r) * invHeightScale);
|
|
int startDyR = int(startRLerp - float(winHeight / 2));
|
|
|
|
float startCLerp = floor(float(c) * invWidthScale);
|
|
int startDyC = int(startCLerp - float(winWidth / 2));
|
|
|
|
// Loop over dy
|
|
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
|
|
int dyR = dyROffset + startDyR;
|
|
|
|
// Guard against the window exceeding the bounds of dy
|
|
if (dyR < 0 || dyR >= `+l+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
|
|
int dyC = dyCOffset + startDyC;
|
|
|
|
// Guard against the window exceeding the bounds of dy
|
|
if (dyC < 0 || dyC >= `+u+`) {
|
|
continue;
|
|
}
|
|
|
|
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;
|
|
|
|
float dxC = float(dyC) * widthScale;
|
|
int leftDxCIndex = int(floor(dxC));
|
|
int rightDxCIndex = int(min(ceil(dxC), `+(s-1)+`.0));
|
|
float dxCLerp = dxC - float(leftDxCIndex);
|
|
float inverseDxCLerp = 1.0 - dxCLerp;
|
|
|
|
if (r == topDxRIndex && c == leftDxCIndex) {
|
|
// topLeft
|
|
accumulator +=
|
|
getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;
|
|
}
|
|
|
|
if (r == topDxRIndex && c == rightDxCIndex) {
|
|
// topRight
|
|
accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;
|
|
}
|
|
|
|
if (r == bottomDxRIndex && c == leftDxCIndex) {
|
|
// bottomLeft
|
|
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;
|
|
}
|
|
|
|
if (r == bottomDxRIndex && c == rightDxCIndex) {
|
|
// bottomRight
|
|
accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;
|
|
}
|
|
}
|
|
}
|
|
// End loop over dy
|
|
|
|
setOutput(accumulator);
|
|
}
|
|
`}return n}();var G5=function(){function n(t,e,i,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],s=t[1],o=t[2],l=t[3];this.outputShape=[a,e,i,l];var u=[r&&e>1?s-1:s,r&&i>1?o-1:o],c=[r&&e>1?e-1:e,r&&i>1?i-1:i];this.userCode=`
|
|
const vec2 effectiveInputOverOutputRatioRC = vec2(
|
|
`+u[0]/c[0]+`,
|
|
`+u[1]/c[1]+`);
|
|
const vec2 inputShapeRC = vec2(`+s+".0, "+o+`.0);
|
|
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int b = coords[0];
|
|
int d = coords[3];
|
|
ivec2 yRC = coords.yz;
|
|
|
|
// Fractional source index.
|
|
vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;
|
|
|
|
// Compute the four integer indices.
|
|
ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);
|
|
ivec2 sourceCeilRC = ivec2(
|
|
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
|
|
|
|
float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);
|
|
float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);
|
|
float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);
|
|
float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);
|
|
|
|
vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);
|
|
|
|
float top = topLeft + (topRight - topLeft) * fracRC.y;
|
|
float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;
|
|
float newValue = top + (bottom - top) * fracRC.x;
|
|
|
|
setOutput(newValue);
|
|
}
|
|
`}return n}();var Y5=function(){function n(t,e,i,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var a=t[0],s=t[1],o=t[2],l=t[3];this.outputShape=[a,e,i,l];var u=[r&&e>1?s-1:s,r&&i>1?o-1:o],c=[r&&e>1?e-1:e,r&&i>1?i-1:i];this.userCode=`
|
|
const vec3 effectiveInputOverOutputRatioRC = vec3(
|
|
`+u[0]/c[0]+`,
|
|
`+u[1]/c[1]+`,
|
|
`+u[1]/c[1]+`);
|
|
const vec3 inputShapeRC = vec3(`+s+".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));
|
|
}
|
|
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int b = coords[0];
|
|
int d = coords[3];
|
|
// Calculate values for next column in yRC.z.
|
|
ivec3 yRC = coords.yzz + ivec3(0, 0, 1);
|
|
|
|
// Fractional source index.
|
|
vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;
|
|
|
|
// Compute the four integer indices.
|
|
ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);
|
|
ivec3 sourceCeilRC = ivec3(
|
|
min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));
|
|
|
|
// Should we calculate next column and row elements in 2x2 packed cell.
|
|
bool hasNextCol = d < `+(l-1)+`;
|
|
bool hasNextRow = coords.z < `+(i-1)+`;
|
|
|
|
// In parallel, construct four corners for all four components in
|
|
// packed 2x2 cell.
|
|
vec4 topLeft = vec4(
|
|
getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),
|
|
hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)
|
|
: 0.0,
|
|
hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)
|
|
: 0.0,
|
|
(hasNextRow && hasNextCol) ?
|
|
getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);
|
|
|
|
vec4 bottomLeft = vec4(
|
|
getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),
|
|
hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)
|
|
: 0.0,
|
|
hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)
|
|
: 0.0,
|
|
(hasNextRow && hasNextCol) ?
|
|
getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);
|
|
|
|
vec4 topRight = vec4(
|
|
getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),
|
|
hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)
|
|
: 0.0,
|
|
hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)
|
|
: 0.0,
|
|
(hasNextRow && hasNextCol) ?
|
|
getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);
|
|
|
|
vec4 bottomRight = vec4(
|
|
getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),
|
|
hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)
|
|
: 0.0,
|
|
hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)
|
|
: 0.0,
|
|
(hasNextRow && hasNextCol) ?
|
|
getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);
|
|
|
|
vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);
|
|
|
|
vec4 top = mix(topLeft, topRight, fracRC.yyzz);
|
|
vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);
|
|
vec4 newValue = mix(top, bottom, fracRC.x);
|
|
|
|
setOutput(newValue);
|
|
}
|
|
`}return n}();var K5=function(){function n(t,e,i){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,a=r[1],s=r[2],o=t.shape,l=o[1],u=o[2],c=[i&&l>1?a-1:a,i&&u>1?s-1:s],h=[i&&l>1?l-1:l,i&&u>1?u-1:u],d=c[0]/h[0],p=c[1]/h[1],f=1/d,m=1/p,g=Math.ceil(f)*2+2,v=Math.ceil(m)*2+2;this.userCode=`
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int b = coords[0];
|
|
int d = coords[3];
|
|
int r = coords[1];
|
|
int c = coords[2];
|
|
|
|
float accumulator = 0.0;
|
|
|
|
const float heightScale = float(`+d+`);
|
|
const float widthScale = float(`+p+`);
|
|
|
|
const float invHeightScale = float(`+f+`);
|
|
const float invWidthScale = float(`+m+`);
|
|
|
|
const int winHeight = int(`+g+`);
|
|
const int winWidth = int(`+v+`);
|
|
|
|
// Compute bounds for where in dy we will look
|
|
float startRLerp = floor(float(r) * invHeightScale);
|
|
int startDyR = int(floor(startRLerp - float(winHeight / 2)));
|
|
|
|
float startCLerp = floor(float(c) * invWidthScale);
|
|
int startDyC = int(floor(startCLerp - float(winWidth / 2)));
|
|
|
|
// Loop over dy
|
|
for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {
|
|
int dyR = dyROffset + startDyR;
|
|
|
|
// Guard against the window exceeding the bounds of dy
|
|
if (dyR < 0 || dyR >= `+l+`) {
|
|
continue;
|
|
}
|
|
|
|
for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {
|
|
int dyC = dyCOffset + startDyC;
|
|
|
|
// Guard against the window exceeding the bounds of dy
|
|
if (dyC < 0 || dyC >= `+u+`) {
|
|
continue;
|
|
}
|
|
|
|
float sourceFracRow =
|
|
float(`+c[0]+`) *
|
|
(float(dyR) / float(`+h[0]+`));
|
|
|
|
float sourceFracCol =
|
|
float(`+c[1]+`) *
|
|
(float(dyC) / float(`+h[1]+`));
|
|
|
|
int sourceNearestRow = int(min(
|
|
float(int(`+a+`) - 1),
|
|
`+i+` ? float(round(sourceFracRow)) :
|
|
float(floor(sourceFracRow))));
|
|
|
|
int sourceNearestCol = int(min(
|
|
float(int(`+s+`) - 1),
|
|
`+i+` ? float(round(sourceFracCol)) :
|
|
float(floor(sourceFracCol))));
|
|
|
|
if (r == sourceNearestRow && c == sourceNearestCol) {
|
|
accumulator += getDy(b, dyR, dyC, d);
|
|
}
|
|
}
|
|
}
|
|
// End loop over dy
|
|
|
|
setOutput(accumulator);
|
|
}
|
|
`}return n}();var j5=function(){function n(t,e,i,r){this.variableNames=["A"],this.outputShape=[];var a=t[0],s=t[1],o=t[2],l=t[3];this.outputShape=[a,e,i,l];var u=[r&&e>1?s-1:s,r&&i>1?o-1:o],c=[r&&e>1?e-1:e,r&&i>1?i-1:i],h=r?"0.5":"0.0";this.userCode=`
|
|
const vec2 effectiveInputOverOutputRatioRC = vec2(
|
|
`+u[0]/c[0]+`,
|
|
`+u[1]/c[1]+`);
|
|
const vec2 inputShapeRC = vec2(`+s+".0, "+o+`.0);
|
|
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int b = coords[0];
|
|
int d = coords[3];
|
|
ivec2 yRC = coords.yz;
|
|
|
|
// Fractional source index.
|
|
vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;
|
|
|
|
// Compute the coordinators of nearest neighbor point.
|
|
ivec2 sourceNearestRC = ivec2(
|
|
min(inputShapeRC - 1.0, floor(sourceFracIndexRC + `+h+`)));
|
|
|
|
float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);
|
|
|
|
setOutput(newValue);
|
|
}
|
|
`}return n}();var $5=function(){function n(t,e){this.variableNames=["x"];var i=t.length;if(i>4)throw new Error("WebGL backend: Reverse of rank-"+i+" tensor is not yet supported");if(this.outputShape=t,i===1){this.userCode=`
|
|
void main() {
|
|
int coord = getOutputCoords();
|
|
setOutput(getX(`+t[0]+` - coord - 1));
|
|
}
|
|
`;return}var r=function(o){return e.indexOf(o)!==-1&&t[o]!==1?t[o]+" - coords["+o+"] - 1":"coords["+o+"]"},a=t.map(function(o,l){return r(l)}).join(","),s=Je(i);this.userCode=`
|
|
void main() {
|
|
`+s+` coords = getOutputCoords();
|
|
setOutput(getX(`+a+`));
|
|
}
|
|
`}return n}();var X5=function(){function n(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var i=t.length;if(i>4)throw new Error("WebGL backend: Reverse of rank-"+i+" tensor is not yet supported");this.outputShape=t;var r=jt("rc",i),a=r[i-1]+" + 1 < "+this.outputShape[i-1],s=r[i-2]+" + 1 < "+this.outputShape[i-2],o=Je(i);i===1?this.userCode=`
|
|
void main(){
|
|
int rc = getOutputCoords();
|
|
vec4 result = vec4(0.);
|
|
result.r = getChannel(getX(`+t[0]+` - rc - 1),
|
|
`+t[0]+` - rc - 1);
|
|
if(`+a+`){
|
|
result.g = getChannel(getX(`+t[0]+` - (rc + 1) - 1),
|
|
`+t[0]+` - (rc + 1) - 1);
|
|
}
|
|
setOutput(result);
|
|
}
|
|
`:this.userCode=`
|
|
void main() {
|
|
`+o+` rc = getOutputCoords();
|
|
vec4 result = vec4(0.);
|
|
result.r = `+l(r.slice())+`;
|
|
if(`+a+`){
|
|
result.g = `+u(r.slice())+`;
|
|
}
|
|
if(`+s+`) {
|
|
result.b = `+c(r.slice())+`;
|
|
if(`+a+`) {
|
|
result.a = `+h(r.slice())+`;
|
|
}
|
|
}
|
|
setOutput(result);
|
|
}
|
|
`;function l(f){return d(f)}function u(f){return f[i-1]="("+f[i-1]+" + 1)",d(f)}function c(f){return f[i-2]="("+f[i-2]+" + 1)",d(f)}function h(f){return f[i-1]="("+f[i-1]+" + 1)",f[i-2]="("+f[i-2]+" + 1)",d(f)}function d(f){var m=t.map(function(b,w){return p(w,f)}),g=m.join(","),v=m.slice(-2).join(",");return"getChannel(getX("+g+"), vec2("+v+"))"}function p(f,m){return e.indexOf(f)!==-1&&t[f]!==1?t[f]+" - "+m[f]+" - 1":""+m[f]}}return n}();var CS=function(){function n(t,e,i,r,a,s,o){this.variableNames=["updates","indices","defaultValue"],this.outputShape=s;var l=Je(a.length),u=Je(s.length),c="";i===1?c="i":i===2&&(c="i, j");var h="getIndices("+c+")",d="";r===1?d="i":r===2&&(d="i, coords[1]");var p="getUpdates("+d+")",f=e>1?"strides[j]":"strides";this.userCode=`
|
|
`+l+" strides = "+l+"("+a+`);
|
|
|
|
void main() {
|
|
`+u+` coords = getOutputCoords();
|
|
float sum = 0.0;
|
|
bool found = false;
|
|
for (int i = 0; i < `+t+`; i++) {
|
|
int flattenedIndex = 0;
|
|
for (int j = 0; j < `+e+`; j++) {
|
|
int index = round(`+h+`);
|
|
flattenedIndex += index * `+f+`;
|
|
}
|
|
if (flattenedIndex == coords[0]) {
|
|
sum += `+p+`;
|
|
found = true;
|
|
}
|
|
}
|
|
setOutput(mix(getDefaultValue(), sum, float(found)));
|
|
}
|
|
`}return n}();var J5=function(){function n(t,e){this.variableNames=["x","segmentIds"];var i=t.windowSize,r=t.batchSize,a=t.inSize,s=t.numSegments,o=s*Math.ceil(a/i);this.outputShape=[r,o];var l="0.0",u="sumValue",c=Math.floor(i/4)*4,h=i%4,d=`
|
|
sumValue += dot(values, segFilter);
|
|
`,p="";a%i>0&&(p=`
|
|
if (inIdx < 0 || inIdx >= `+a+`) {
|
|
return initializationValue;
|
|
}
|
|
`);var f="";a%i>0&&(f=`
|
|
if (inIdx < 0 || inIdx >= `+a+`) {
|
|
return -1.0;
|
|
}
|
|
`),this.userCode=`
|
|
const float initializationValue = `+l+`;
|
|
|
|
float getValue(int batch, int inIdx) {
|
|
`+p+`
|
|
return getX(batch, inIdx);
|
|
}
|
|
|
|
float getSegmentIdAtIndex(int inIdx) {
|
|
`+f+`
|
|
return getSegmentIds(inIdx);
|
|
}
|
|
|
|
void main() {
|
|
ivec2 coords = getOutputCoords();
|
|
int batch = coords[0];
|
|
int outIdx = coords[1];
|
|
int inOffset = int(floor(float(outIdx) / float(
|
|
`+s+")) * float("+i+`));
|
|
int currentSeg = int(mod(float(outIdx), float(`+s+`)));
|
|
|
|
float sumValue = 0.0;
|
|
|
|
for (int i = 0; i < `+c+`; i += 4) {
|
|
int inIdx = inOffset + i;
|
|
vec4 values = vec4(
|
|
getValue(batch, inIdx),
|
|
getValue(batch, inIdx + 1),
|
|
getValue(batch, inIdx + 2),
|
|
getValue(batch, inIdx + 3)
|
|
);
|
|
|
|
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
|
|
);
|
|
|
|
`+d+`
|
|
}
|
|
|
|
int inIdx = inOffset + `+c+`;
|
|
if (`+(h===1)+`) {
|
|
vec4 values = vec4(
|
|
getValue(batch, inIdx),
|
|
initializationValue,
|
|
initializationValue,
|
|
initializationValue
|
|
);
|
|
|
|
int inIdxSeg = int(getSegmentIdAtIndex(inIdx));
|
|
|
|
vec4 segFilter = vec4(
|
|
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
|
|
0,
|
|
0,
|
|
0
|
|
);
|
|
|
|
`+d+`
|
|
} else if (`+(h===2)+`) {
|
|
vec4 values = vec4(
|
|
getValue(batch, inIdx),
|
|
getValue(batch, inIdx + 1),
|
|
initializationValue,
|
|
initializationValue
|
|
);
|
|
|
|
vec4 segFilter = vec4(
|
|
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
|
|
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
|
|
0,
|
|
0
|
|
);
|
|
|
|
`+d+`
|
|
} else if (`+(h===3)+`) {
|
|
vec4 values = vec4(
|
|
getValue(batch, inIdx),
|
|
getValue(batch, inIdx + 1),
|
|
getValue(batch, inIdx + 2),
|
|
initializationValue
|
|
);
|
|
|
|
vec4 segFilter = vec4(
|
|
int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,
|
|
int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,
|
|
int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,
|
|
0
|
|
);
|
|
|
|
`+d+`
|
|
}
|
|
setOutput(`+u+`);
|
|
}
|
|
`}return n}();var Z5=function(){function n(t,e,i){this.variableNames=["c","a","b"],this.outputShape=e;var r,a;if(i>4)throw Error("Where for rank "+i+" is not yet supported");if(i===1)a="resRC",r="resRC";else{for(var s=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],l=[],u=0;u<e.length;u++)l.push(""+s[u]),u<t&&o.push(""+s[u]);r=o.join(),a=l.join()}var c=Je(i);this.userCode=`
|
|
void main() {
|
|
`+c+` resRC = getOutputCoords();
|
|
float cVal = getC(`+r+`);
|
|
if (cVal >= 1.0) {
|
|
setOutput(getA(`+a+`));
|
|
} else {
|
|
setOutput(getB(`+a+`));
|
|
}
|
|
}
|
|
`}return n}();var e9=function(){function n(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e=Je(this.rank),i="uniform int start["+this.rank+"];",r=Q5(this.rank),a,s=t.map(function(o,l){return"sourceLoc."+qd[l]+" = start["+l+"] + coords."+qd[l]+";"});a=`
|
|
`+e+` sourceLoc;
|
|
`+e+` coords = getOutputCoords();
|
|
`+s.join(`
|
|
`)+`
|
|
`,this.userCode=`
|
|
`+i+`
|
|
void main() {
|
|
`+a+`
|
|
setOutput(getSource(`+r+`));
|
|
}
|
|
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the "+("length of start ("+t.length+")"));return function(i,r){if(e.startLoc==null&&(e.startLoc=i.getUniformLocationNoThrow(r,"start"),e.startLoc==null))return;i.gl.uniform1iv(e.startLoc,t)}},n}(),qd=["x","y","z","w","u","v"];function Q5(n){if(n===1)return"sourceLoc";if(n<=6)return qd.slice(0,n).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+n+" is not yet supported")}var t9=function(){function n(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=Je(this.rank),i=jt("coords",this.rank),r=jt("sourceLoc",this.rank),a=this.rank===1?"sourceLoc":"vec2("+r.slice(-2).join()+")",s="getChannel(getSource("+r.join()+"), "+a+")",o=`
|
|
result.x = `+s+`;
|
|
if (++`+i[this.rank-1]+" < "+t[this.rank-1]+`) {
|
|
++`+r[this.rank-1]+`;
|
|
result.y = `+s+`;
|
|
--`+r[this.rank-1]+`;
|
|
}
|
|
`,l=this.rank===1?"":`
|
|
--`+i[this.rank-1]+`;
|
|
if (++`+i[this.rank-2]+" < "+t[this.rank-2]+`) {
|
|
++`+r[this.rank-2]+`;
|
|
result.z = `+s+`;
|
|
if (++`+i[this.rank-1]+" < "+t[this.rank-1]+`) {
|
|
++`+r[this.rank-1]+`;
|
|
result.w = `+s+`;
|
|
}
|
|
}
|
|
`,u=this.rank<=4?`sourceLoc = coords +
|
|
`+e+"("+t.map(function(c,h){return"start["+h+"]"}).join()+");":t.map(function(c,h){return r[h]+" = "+i[h]+" + start["+h+"];"}).join(`
|
|
`);this.userCode=`
|
|
uniform int start[`+this.rank+`];
|
|
void main() {
|
|
`+e+` coords = getOutputCoords();
|
|
`+e+` sourceLoc;
|
|
`+u+`
|
|
vec4 result = vec4(0.);
|
|
`+o+`
|
|
`+l+`
|
|
setOutput(result);
|
|
}
|
|
`}return n.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the "+("length of start ("+t.length+")"));return function(i,r){if(e.startLoc==null&&(e.startLoc=i.getUniformLocationNoThrow(r,"start"),e.startLoc==null))return;i.gl.uniform1iv(e.startLoc,t)}},n}();var n9=function(){function n(t,e,i){this.variableNames=["x"],this.outputShape=i;var r=i.length,a=Je(i.length),s=Je(i.length),o="";if(r===1)o="coords * strides + begin";else{var l=0;o=i.map(function(u,c){return l++,i.length===1?"coords * strides["+c+"] + begin["+c+"]":"coords["+(l-1)+"] * strides["+c+"] + begin["+c+"]"}).join(",")}this.userCode=`
|
|
`+a+" begin = "+a+"("+t+`);
|
|
`+a+" strides = "+a+"("+e+`);
|
|
|
|
void main() {
|
|
`+s+` coords = getOutputCoords();
|
|
setOutput(getX(`+o+`));
|
|
}
|
|
`}return n}();var i9=function(){function n(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return n.prototype.acquireTexture=function(t,e,i){var r=OS(e,i),a=ES(t,r,i);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var s=RS(t,r,this.gpgpu.gl,this.gpgpu.textureConfig,i);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=s,this.log();var o=this.freeTextures[a].shift();return this.usedTextures[a].push(o),o}var l;return r===xt.PACKED_2X2_FLOAT32?l=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):r===xt.PACKED_2X2_FLOAT16?l=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):r===xt.UNPACKED_FLOAT32?l=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):r===xt.UNPACKED_FLOAT16?l=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):r===xt.PACKED_4X1_UNSIGNED_BYTE&&(l=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(l),this.numUsedTextures++,this._numBytesAllocated+=s,this.log(),l},n.prototype.releaseTexture=function(t,e,i,r){if(this.freeTextures==null)return;var a=OS(i,r),s=ES(e,a,r);s in this.freeTextures||(this.freeTextures[s]=[]);var o=RS(e,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),l=N.env().get("WEBGL_DELETE_TEXTURE_THRESHOLD");l!==-1&&this._numBytesAllocated>l?(this.gpgpu.deleteMatrixTexture(t),this._numBytesAllocated-=o):(this.freeTextures[s].push(t),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[s],c=u.indexOf(t);if(c<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(c,1),this.log()},n.prototype.log=function(){if(!this.logEnabled)return;var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")");var e=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log("Bytes unused: "+this._numBytesFree+" ("+Math.round(100*e)+"%)")},Object.defineProperty(n.prototype,"numBytesAllocated",{get:function(){return this._numBytesAllocated},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,"numBytesFree",{get:function(){return this._numBytesFree},enumerable:!0,configurable:!0}),n.prototype.getNumUsedTextures=function(){return this.numUsedTextures},n.prototype.getNumFreeTextures=function(){return this.numFreeTextures},n.prototype.dispose=function(){var t=this;if(this.freeTextures==null)return;for(var e in this.freeTextures)this.freeTextures[e].forEach(function(i){t.gpgpu.deleteMatrixTexture(i)});for(var e in this.usedTextures)this.usedTextures[e].forEach(function(r){t.gpgpu.deleteMatrixTexture(r)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0},n}();function r9(n,t){var e=n;if(t===e.R32F)return 4;if(t===e.R16F)return 2;if(t===e.RGBA32F)return 16;if(t===n.RGBA)return 16;if(t===e.RGBA16F)return 8;throw new Error("Unknown internal format "+t)}function RS(n,t,e,i,r){var a=a9(t,i),s;if(r){var o=Xr(n[0],n[1]),l=o[0],u=o[1];s=l*u}else{var c=Qa(n[0],n[1]),h=c[0],d=c[1];s=h*d}var p=r9(e,a);return s*p}function a9(n,t){switch(n){case xt.PACKED_2X2_FLOAT32:return _d(t);case xt.PACKED_2X2_FLOAT16:return Md(t);case xt.UNPACKED_FLOAT32:return Bd(t);case xt.UNPACKED_FLOAT16:return zd(t);case xt.PACKED_4X1_UNSIGNED_BYTE:return Pd(t);default:throw new Error("Unknown physical texture type "+n)}}function s9(n){return N.env().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?n?xt.PACKED_2X2_FLOAT32:xt.UNPACKED_FLOAT32:n?xt.PACKED_2X2_FLOAT16:xt.UNPACKED_FLOAT16}function OS(n,t){if(n===en.UPLOAD)return xt.PACKED_2X2_FLOAT32;if(n===en.RENDER||n==null)return s9(t);if(n===en.DOWNLOAD||n===en.PIXELS)return xt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+n)}function ES(n,t,e){return n[0]+"_"+n[1]+"_"+t+"_"+e}var l9=function(){function n(t,e){this.variableNames=["A"];for(var i=new Array(t.length),r=0;r<i.length;r++)i[r]=t[r]*e[r];this.outputShape=i,this.rank=i.length;var a=Je(this.rank),s=o9(t);this.userCode=`
|
|
void main() {
|
|
`+a+` resRC = getOutputCoords();
|
|
setOutput(getA(`+s+`));
|
|
}
|
|
`}return n}();function o9(n){var t=n.length;if(t>5)throw Error("Tile for rank "+t+" is not yet supported");if(t===1)return"imod(resRC, "+n[0]+")";for(var e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],i=[],r=0;r<n.length;r++)i.push("imod("+e[r]+", "+n[r]+")");return i.join()}var Re=function(){function n(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode=`
|
|
float unaryOperation(float x) {
|
|
`+e+`
|
|
}
|
|
|
|
void main() {
|
|
float x = getAAtOutCoords();
|
|
float y = unaryOperation(x);
|
|
|
|
setOutput(y);
|
|
}
|
|
`}return n}(),Xn="if (isnan(x)) return x;",u9="return x;",DS="return abs(x);",kS=Xn+`
|
|
return (x < 0.0) ? 0.0 : x;
|
|
`,FS=Xn+`
|
|
return (x < 0.0) ? 0.0 : min(6.0, x);
|
|
`,WS="return (x >= 0.0) ? x : (exp(x) - 1.0);",c9=`
|
|
// Stable and Attracting Fixed Point (0, 1) for Normalized Weights.
|
|
// see: https://arxiv.org/abs/1706.02515
|
|
float scaleAlpha = `+N.backend_util.SELU_SCALEALPHA+`;
|
|
float scale = `+N.backend_util.SELU_SCALE+`;
|
|
return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);
|
|
`;function h9(n){return n===void 0&&(n=0),Xn+(`
|
|
return x > 0.0 ? 1.0 : float(`+n+`);
|
|
`)}var US="return -x;",BS="return ceil(x);",zS="return floor(x);",d9=`
|
|
if (isnan(x)) { return 0.0; }
|
|
return sign(x);
|
|
`,p9="return float(isnan(x));",f9="return float(isinf(x));",m9="return float(!isnan(x) && !isinf(x));",g9=`
|
|
// 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;
|
|
}
|
|
}
|
|
`,PS="return exp(x);",_S="return exp(x) - 1.0;",v9=`if (x < 0.0) return NAN;
|
|
return log(x);`,y9="return log(1.0 + x);",b9="return sqrt(x);",w9="return inversesqrt(x);",S9="return 1.0 / (1.0 + exp(-1.0 * x));",L9=`
|
|
float epsilon = 1.1920928955078125e-7;
|
|
float threshold = log(epsilon) + 2.0;
|
|
|
|
bool too_large = x > -threshold;
|
|
bool too_small = x < threshold;
|
|
|
|
float result;
|
|
float exp_x = exp(x);
|
|
|
|
if (too_large){
|
|
result = x;
|
|
}
|
|
else if (too_small){
|
|
result = exp_x;
|
|
}
|
|
else{
|
|
result = log(exp_x + 1.0);
|
|
}
|
|
return result;
|
|
`,I9=Xn+`
|
|
if (abs(x) > 1.) {
|
|
return NAN;
|
|
}
|
|
return asin(x);
|
|
`,A9=Xn+`
|
|
if (abs(x) > 1.) {
|
|
return NAN;
|
|
}
|
|
return acos(x);
|
|
`,T9=Xn+`
|
|
return atan(x);
|
|
`,N9=`
|
|
float e2x = exp(x);
|
|
return (e2x - 1.0 / e2x) / 2.0;
|
|
`,x9=`
|
|
float e2x = exp(-x);
|
|
return (e2x + 1.0 / e2x) / 2.0;
|
|
`,C9=`
|
|
float e2x = exp(-2.0 * abs(x));
|
|
return sign(x) * (1.0 - e2x) / (1.0 + e2x);
|
|
`,R9=Xn+"return log(x + sqrt(x * x + 1.0));",O9=Xn+`
|
|
if (x < 1.0) return NAN;
|
|
return log(x + sqrt(x * x - 1.0));`,E9=Xn+`
|
|
if ((x < -1.0) || (x > 1.0)) return NAN;
|
|
return (log(1.0 + x) - log(1.0 - x)) / 2.0;`,D9=`
|
|
// 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.backend_util.ERF_P+`;
|
|
float a1 = `+N.backend_util.ERF_A1+`;
|
|
float a2 = `+N.backend_util.ERF_A2+`;
|
|
float a3 = `+N.backend_util.ERF_A3+`;
|
|
float a4 = `+N.backend_util.ERF_A4+`;
|
|
float a5 = `+N.backend_util.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));
|
|
`,k9="return 1.0 / x;",F9="return float(!(x >= 1.0));",W9="return float(int(x));",Vo="return x;";var U9="return x;",B9=`
|
|
vec4 result = log(x);
|
|
vec4 isNaN = vec4(lessThan(x, vec4(0.0)));
|
|
result.r = isNaN.r == 1.0 ? NAN : result.r;
|
|
result.g = isNaN.g == 1.0 ? NAN : result.g;
|
|
result.b = isNaN.b == 1.0 ? NAN : result.b;
|
|
result.a = isNaN.a == 1.0 ? NAN : result.a;
|
|
|
|
return result;
|
|
`,MS=`
|
|
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;
|
|
`,HS=`
|
|
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;
|
|
`,VS=`
|
|
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;
|
|
`,ss=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode=`
|
|
vec4 unaryOperation(vec4 x) {
|
|
`+e+`
|
|
}
|
|
|
|
void main() {
|
|
vec4 x = getAAtOutCoords();
|
|
vec4 y = unaryOperation(x);
|
|
|
|
setOutput(y);
|
|
}
|
|
`}return n}();var z9=function(){function n(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,i=jt("rc",e),r=Je(e),a=z_(e,i),s=i.slice(-2),o=e<=1?"rc":"vec2("+s.join(",")+")";this.userCode=`
|
|
void main() {
|
|
`+r+` rc = getOutputCoords();
|
|
vec4 packedInput = getA(`+a+`);
|
|
|
|
setOutput(getChannel(packedInput, `+o+`));
|
|
}
|
|
`}return n}();var qS=N.backend_util.segment_util,P9=N.kernel_impls.split,_9=N.kernel_impls.tile,M9=N.kernel_impls.topkImpl,H9=N.kernel_impls.whereImpl,V9=1e-7,q9=1e-4,qo={};function G9(n){return n in qo||(qo[n]={}),qo[n]}function Go(n,t){if(t===void 0&&(t=!1),n==="linear")return t?U9:u9;if(n==="relu")return t?MS:kS;if(n==="elu")return t?VS:WS;if(n==="relu6")return t?HS:FS;if(n==="prelu")return t?Q0:Z0;throw new Error("Activation "+n+" has not been implemented for the WebGL backend.")}var Y9=128,K9=600;function j9(){return N.env().global.screen==null?1024:N.env().global.screen.height*N.env().global.screen.width*window.devicePixelRatio*K9/1024/1024}var GS=1e3,YS=function(n){GP(t,n);function t(e){var i=n.call(this)||this;if(i.pendingRead=new WeakMap,i.pendingDisposal=new WeakSet,i.dataRefCount=new WeakMap,i.numBytesInGPU=0,i.uploadWaitMs=0,i.downloadWaitMs=0,i.warnedAboutMemory=!1,i.warnedAboutCPUBackend=!1,i.pendingDeletes=0,i.disposed=!1,!N.env().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(e==null){var r=Wn(N.env().getNumber("WEBGL_VERSION"));i.binaryCache=G9(N.env().getNumber("WEBGL_VERSION")),i.gpgpu=new AS(r),i.canvas=r.canvas,i.gpgpuCreatedLocally=!0}else i.gpgpu=e,i.binaryCache={},i.gpgpuCreatedLocally=!1,i.canvas=e.gl.canvas;return i.textureManager=new i9(i.gpgpu),i.numMBBeforeWarning=j9(),i.texData=new N.DataStorage(i,N.engine()),i}return t.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},t.prototype.write=function(e,i,r){if((N.env().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||N.env().getBool("DEBUG"))&&this.checkNumericalProblems(e),r==="complex64"&&e!=null)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var a={};return this.texData.set(a,{shape:i,dtype:r,values:e,usage:en.UPLOAD,refCount:1}),a},t.prototype.incRef=function(e){var i=this.texData.get(e);i.refCount++},t.prototype.decRef=function(e){if(this.texData.has(e)){var i=this.texData.get(e);i.refCount--}},t.prototype.move=function(e,i,r,a){if(N.env().getBool("DEBUG")&&this.checkNumericalProblems(i),a==="complex64")throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:r,dtype:a,values:i,usage:en.UPLOAD,refCount:1})},t.prototype.disposeIntermediateTensorInfo=function(e){var i=e.dataId;if(this.texData.has(i)){var r=this.texData.get(i);r.refCount--,r.refCount<1&&this.disposeData(i)}},t.prototype.readSync=function(e){var i=this.texData.get(e),r=i.values,a=i.dtype,s=i.complexTensors,o=i.slice,l=i.shape,u=i.isPacked;if(o!=null){var c=void 0;u?c=new ss(l,Vo):c=new Re(l,Vo);var h=this.runWebGLProgram(c,[{dataId:e,shape:l,dtype:a}],a),d=this.readSync(h.dataId);return this.disposeIntermediateTensorInfo(h),d}if(r!=null)return this.convertAndCacheOnCPU(e);if(a==="string")return r;var p=this.activeTimers!=null,f;p&&(f=N.util.now());var m;if(a==="complex64"){var g=s.real.dataSync(),v=s.imag.dataSync();m=N.backend_util.mergeRealAndImagArrays(g,v)}else m=this.getValuesFromTexture(e);return p&&(this.downloadWaitMs+=N.util.now()-f),this.convertAndCacheOnCPU(e,m)},t.prototype.read=function(e){return ko(this,void 0,void 0,function(){var i,r,a,s,o,l,u,c,h,d,p,f,m,g,v,b,w,S,L,x,C,R;return Fo(this,function(D){switch(D.label){case 0:if(this.pendingRead.has(e))return i=this.pendingRead.get(e),[2,new Promise(function(k){return i.push(k)})];if(r=this.texData.get(e),a=r.values,s=r.shape,o=r.slice,l=r.dtype,u=r.complexTensors,c=r.isPacked,o!=null)return h=void 0,c?h=new ss(s,Vo):h=new Re(s,Vo),d=this.runWebGLProgram(h,[{dataId:e,shape:s,dtype:l}],l),p=this.read(d.dataId),this.disposeIntermediateTensorInfo(d),[2,p];if(a!=null)return[2,this.convertAndCacheOnCPU(e)];if(!N.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&N.env().getNumber("WEBGL_VERSION")===2)throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return f=null,l!=="complex64"&&N.env().get("WEBGL_BUFFER_SUPPORTED")&&(m=this.decode(e),g=this.texData.get(m.dataId),f=(R=this.gpgpu).createBufferFromTexture.apply(R,[g.texture].concat(es(s)))),this.pendingRead.set(e,[]),l!=="complex64"?[4,this.gpgpu.createAndWaitForFence()]:[3,2];case 1:D.sent(),D.label=2;case 2:return l==="complex64"?[4,Promise.all([u.real.data(),u.imag.data()])]:[3,4];case 3:return b=D.sent(),w=b[0],S=b[1],v=N.backend_util.mergeRealAndImagArrays(w,S),[3,5];case 4:f==null?v=this.getValuesFromTexture(e):(L=N.util.sizeFromShape(s),v=this.gpgpu.downloadFloat32MatrixFromBuffer(f,L)),D.label=5;case 5:return m!=null&&this.disposeIntermediateTensorInfo(m),x=this.convertAndCacheOnCPU(e,v),C=this.pendingRead.get(e),this.pendingRead.delete(e),C.forEach(function(k){return k(x)}),this.pendingDisposal.has(e)&&(this.pendingDisposal.delete(e),this.disposeData(e),this.pendingDeletes--),[2,x]}})})},t.prototype.checkNumericalProblems=function(e){if(e==null)return;for(var i=0;i<e.length;i++){var r=e[i];if(!b0(r))throw N.env().getBool("WEBGL_RENDER_FLOAT32_CAPABLE")?Error("The value "+r+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'"):Error("The value "+r+" cannot be represented on this device.")}},t.prototype.getValuesFromTexture=function(e){var i,r=this.texData.get(e),a=r.shape,s=r.dtype,o=r.isPacked,l=N.util.sizeFromShape(a);if(N.env().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u=this.decode(e),c=this.texData.get(u.dataId),h=(i=this.gpgpu).downloadMatrixFromPackedTexture.apply(i,[c.texture].concat(es(a))).subarray(0,l);return this.disposeIntermediateTensorInfo(u),h}var d=N.env().getBool("WEBGL_PACK")&&o===!0,p=d?Bo(a):a,f=d?new g5(p):new m5(p),m=this.runWebGLProgram(f,[{shape:p,dtype:s,dataId:e}],"float32"),g=this.texData.get(m.dataId),v=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(g.texture,g.texShape[0],g.texShape[1]).subarray(0,l);return this.disposeIntermediateTensorInfo(m),v},t.prototype.time=function(e){return ko(this,void 0,void 0,function(){var i,r,a,s,o,l,u;return Fo(this,function(c){switch(c.label){case 0:return i=this.activeTimers,r=[],a=!1,this.programTimersStack==null?(this.programTimersStack=r,a=!0):this.activeTimers.push(r),this.activeTimers=r,e(),s=N.util.flatten(this.activeTimers.map(function(h){return h.query})).filter(function(h){return h!=null}),o=N.util.flatten(this.activeTimers.map(function(h){return h.name})).filter(function(h){return h!=null}),this.activeTimers=i,a&&(this.programTimersStack=null),l={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[4,Promise.all(s)]:[3,2];case 1:return u=c.sent(),l.kernelMs=N.util.sum(u),l.getExtraProfileInfo=function(){return u.map(function(h,d){return{name:o[d],ms:h}}).map(function(h){return h.name+": "+h.ms}).join(", ")},[3,3];case 2:l.kernelMs={error:"WebGL query timers are not supported in this environment."},c.label=3;case 3:return this.uploadWaitMs=0,this.downloadWaitMs=0,[2,l]}})})},t.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}},t.prototype.startTimer=function(){return N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:N.util.now(),endMs:null}},t.prototype.endTimer=function(e){return N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=N.util.now(),e)},t.prototype.getQueryTime=function(e){return ko(this,void 0,void 0,function(){var i;return Fo(this,function(r){return N.env().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?[2,this.gpgpu.waitForQueryAndGetTime(e)]:(i=e,[2,i.endMs-i.startMs])})})},t.prototype.disposeData=function(e){if(this.pendingDisposal.has(e))return;if(this.pendingRead.has(e)){this.pendingDisposal.add(e),this.pendingDeletes++;return}if(!this.texData.has(e))return;this.releaseGPUData(e);var i=this.texData.get(e).complexTensors;i!=null&&(i.real.dispose(),i.imag.dispose()),this.texData.delete(e)},t.prototype.releaseGPUData=function(e){var i=this.texData.get(e),r=i.texture,a=i.dtype,s=i.texShape,o=i.usage,l=i.isPacked,u=i.slice,c=u&&u.origDataId||e,h=this.dataRefCount.get(c);h>1?this.dataRefCount.set(c,h-1):(this.dataRefCount.delete(c),r!=null&&(this.numBytesInGPU-=this.computeBytes(s,a),this.textureManager.releaseTexture(r,s,o,l)));var d=this.texData.get(e);d.texture=null,d.texShape=null,d.isPacked=!1,d.slice=null},t.prototype.getTexture=function(e){return this.uploadToGPU(e),this.texData.get(e).texture},t.prototype.getDataInfo=function(e){return this.texData.get(e)},t.prototype.getCPUBackend=function(){return N.env().getBool("WEBGL_CPU_FORWARD")?(this.cpuBackend==null&&(this.cpuBackend=N.engine().findBackend("cpu")),this.cpuBackend):null},t.prototype.shouldExecuteOnCPU=function(e,i){var r=this;i===void 0&&(i=Y9);var a=this.getCPUBackend();return!this.warnedAboutCPUBackend&&a==null&&(console.warn("Your application contains ops that are small enough to be executed on the CPU backend, however the CPU backend cannot be found. Consider importing the CPU backend (@tensorflow/tfjs-backend-cpu) for better performance."),this.warnedAboutCPUBackend=!0),a!=null&&e.every(function(s){return r.texData.get(s.dataId).texture==null&&N.util.sizeFromShape(s.shape)<i})},t.prototype.getGPGPUContext=function(){return this.gpgpu},t.prototype.complex=function(e,i){var r=this.makeOutput(e.shape,"complex64"),a=this.texData.get(r.dataId);return a.complexTensors={real:N.engine().keep(e.clone()),imag:N.engine().keep(i.clone())},r},t.prototype.real=function(e){var i=this.texData.get(e.dataId);return i.complexTensors.real.clone()},t.prototype.imag=function(e){var i=this.texData.get(e.dataId);return i.complexTensors.imag.clone()},t.prototype.slice=function(e,i,r){if(this.shouldExecuteOnCPU([e])){var a=D_(this.texData.get(e.dataId).values,i,r,e.shape,e.dtype);return this.makeOutput(r,e.dtype,a)}if(N.util.sizeFromShape(r)===0)return N.tensor([],r,e.dtype);var s=this.texData.get(e.dataId).isPacked,o=N.slice_util.isSliceContinous(e.shape,i,r);if(s||!o){var l=N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new t9(r):new e9(r),u=l.getCustomSetupFunc(i);return this.compileAndRun(l,[e],null,u)}return this.uploadToGPU(e.dataId),this.shallowSlice(e,i,r)},t.prototype.shallowSlice=function(e,i,r){var a=this.texData.get(e.dataId),s=this.makeOutput(r,e.dtype),o=this.texData.get(s.dataId);Object.assign(o,a),o.shape=r,o.dtype=e.dtype;var l=N.slice_util.computeFlatOffset(i,e.strides);a.slice&&(l+=a.slice.flatOffset),o.slice={flatOffset:l,origDataId:a.slice&&a.slice.origDataId||e.dataId};var u=this.dataRefCount.get(o.slice.origDataId)||1;return this.dataRefCount.set(o.slice.origDataId,u+1),s},t.prototype.stridedSlice=function(e,i,r,a){var s=this,o=this.tryRunOnCpuOrThrow([e],function(){return s.cpuBackend.stridedSlice(e,i,r,a)});if(o)return o;var l=N.slice_util.computeOutShape(i,r,a);if(l.some(function(c){return c===0}))return N.tensor([],l);var u=new n9(i,a,l);return this.compileAndRun(u,[e])},t.prototype.reverse=function(e,i){var r=N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new X5(e.shape,i):new $5(e.shape,i);return this.compileAndRun(r,[e])},t.prototype.concat=function(e,i){if(e[0].dtype==="complex64"){var r=e.map(function(f){return N.real(f)}),a=e.map(function(f){return N.imag(f)});return N.complex(this.concat(r,i),this.concat(a,i))}if(e.length===1)return e[0];if(e.length>N.env().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var s=Math.floor(e.length/2),o=this.concat(e.slice(0,s),i),l=this.concat(e.slice(s),i);return this.concat([o,l],i)}if(N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].rank>1){var u=new n5(e.map(function(f){return f.shape}),i);return this.compileAndRun(u,e)}var c=N.backend_util.computeOutShape(e.map(function(f){return f.shape}),i),h=e.map(function(f){return f.as2D(-1,N.util.sizeFromShape(f.shape.slice(i)))}),d=new t5(h.map(function(f){return f.shape})),p=this.compileAndRun(d,h);return p.reshape(c)},t.prototype.neg=function(e){var i=this,r=this.tryRunOnCpuOrThrow([e],function(){return i.cpuBackend.neg(e)});if(r)return r;if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,US,e.dtype);var a=new Re(e.shape,US);return this.compileAndRun(a,[e])},t.prototype.batchMatMul=function(e,i,r,a){var s=r?e.shape[2]:e.shape[1],o=a?i.shape[1]:i.shape[2],l=r?e.shape[1]:e.shape[2],u=e.shape,c=u[0];if((s===1||o===1)&&l>GS){r&&(e=N.transpose(e,[0,2,1])),a&&(i=N.transpose(i,[0,2,1]));var h=o===1?e:e.as3D(c,l,1),d=o===1?2:1,p=o===1?i.as3D(c,1,l):i;return this.multiply(h,p).sum(d,!0)}var f=N.upcastType(e.dtype,i.dtype),m=new Hd(e.shape,[c,s,o],r,a);return this.compileAndRun(m,[e,i],f)},t.prototype.fusedBatchMatMul=function(e){var i=e.a,r=e.b,a=e.transposeA,s=e.transposeB,o=e.bias,l=e.activation,u=e.preluActivationWeights,c=a?i.shape[2]:i.shape[1],h=s?r.shape[1]:r.shape[2],d=i.shape,p=d[0],f=N.upcastType(i.dtype,r.dtype),m=o!=null,g=u!=null,v=l?Go(l,!0):null,b=new Hd(i.shape,[p,c,h],a,s,m,v,g),w=[i,r];return o&&w.push(o),u&&w.push(u),this.compileAndRun(b,w,f)},t.prototype.multiply=function(e,i){if(e.dtype==="complex64"){var r=this.texData.get(e.dataId),a=this.texData.get(i.dataId),s=new $0(j0.REAL,e.shape,i.shape),o=new $0(j0.IMAG,e.shape,i.shape),l=[this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag),this.makeComplexComponentTensorInfo(i,a.complexTensors.real),this.makeComplexComponentTensorInfo(i,a.complexTensors.imag)],u=this.compileAndRun(s,l),c=this.compileAndRun(o,l),h=this.complex(u,c);return u.dispose(),c.dispose(),h}var d=N.upcastType(e.dtype,i.dtype);if(this.shouldExecuteOnCPU([e,i])){var r=this.texData.get(e.dataId),a=this.texData.get(i.dataId),p=O_(e.shape,i.shape,r.values,a.values,d),f=p[0],m=p[1];return this.makeOutput(m,d,f)}if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,J0,e.dtype);var g=new bt(J0,e.shape,i.shape);return this.compileAndRun(g,[e,i],e.dtype)},t.prototype.localResponseNormalization4D=function(e,i,r,a,s){var o=N.env().getBool("WEBGL_PACK_NORMALIZATION")?new E5(e.shape,i,r,a,s):new R5(e.shape,i,r,a,s);return this.compileAndRun(o,[e])},t.prototype.LRNGrad=function(e,i,r,a,s,o,l){var u=new O5(i.shape,a,s,o,l);return this.compileAndRun(u,[i,r,e])},t.prototype.tile=function(e,i){if(e.dtype==="string"){var r=this.readSync(e.dataId),a=r.map(function(l){return N.util.decodeString(l)}),s=N.buffer(e.shape,e.dtype,a);return _9(s,i)}var o=new l9(e.shape,i);return this.compileAndRun(o,[e])},t.prototype.pad=function(e,i,r){var a=N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new H5(e.shape,i,r):new M5(e.shape,i,r);return this.compileAndRun(a,[e])},t.prototype.gather=function(e,i,r){var a=this,s=this.tryRunOnCpuOrThrow([e,i],function(){return a.cpuBackend.gather(e,i,r)});if(s)return s;var o=new S5(e.shape,i.size,r);return this.compileAndRun(o,[e,i])},t.prototype.batchToSpaceND=function(e,i,r){N.util.assert(e.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var a=i.reduce(function(h,d){return h*d}),s=N.backend_util.getReshaped(e.shape,i,a),o=N.backend_util.getPermuted(s.length,i.length),l=N.backend_util.getReshapedPermuted(e.shape,i,a),u=N.backend_util.getSliceBeginCoords(r,i.length),c=N.backend_util.getSliceSize(l,r,i.length);return N.transpose(e.reshape(s),o).reshape(l).slice(u,c)},t.prototype.spaceToBatchND=function(e,i,r){N.util.assert(e.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var a=i.reduce(function(p,f){return p*f}),s=[[0,0]];s.push.apply(s,r);for(var o=1+i.length;o<e.shape.length;++o)s.push([0,0]);var l=e.pad(s),u=N.backend_util.getReshaped(l.shape,i,a,!1),c=N.backend_util.getPermuted(u.length,i.length,!1),h=N.backend_util.getReshapedPermuted(l.shape,i,a,!1),d=N.transpose(l.reshape(u),c);return N.reshape(d,h)},t.prototype.reduce=function(e,i,r){var a=e.shape[0],s=e.shape[1],o=N.backend_util.computeOptimalWindowSize(s),l=Math.ceil(s/o),u={windowSize:o,inSize:s,batchSize:a,outSize:l},c=new NS(u,i),h=this.compileAndRun(c,[e],r);return h.shape[1]===1?h:this.reduce(h,i,r)},t.prototype.argReduce=function(e,i,r){r===void 0&&(r=null);var a=e.shape[0],s=e.shape[1];r!=null&&(a=r.shape[0],s=r.shape[1]);var o=N.backend_util.computeOptimalWindowSize(s),l={windowSize:o,inSize:s,batchSize:a,outSize:Math.ceil(s/o)},u=new B_(l,i,r==null),c=[e];r!=null&&c.push(r);var h=this.compileAndRun(u,c,"int32");return h.shape[1]===1?h:this.argReduce(e,i,h)},t.prototype.argReducePacked=function(e,i,r){r===void 0&&(r=null);var a=r!=null?r.shape:e.shape,s=a[a.length-1],o=N.backend_util.computeOptimalWindowSize(s),l=new SM(a,o,i,r==null),u=r==null?[e]:[e,r],c=this.compileAndRun(l,u,"int32");return c.rank===e.rank?this.argReducePacked(e,i,c):c},t.prototype.sum=function(e,i){N.backend_util.assertAxesAreInnerMostDims("sum",i,e.rank);var r=N.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=N.util.sizeFromShape(s),l=e.as2D(-1,o),u=N.sumOutType(e.dtype);return this.reduce(l,"sum",u).reshape(a)},t.prototype.prod=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e],function(){return r.cpuBackend.prod(e,i)});if(a)return a;var s=N.backend_util.computeOutAndReduceShapes(e.shape,i),o=s[0],l=s[1],u=N.util.sizeFromShape(l),c=e.as2D(-1,u),h=N.sumOutType(e.dtype);return this.reduce(c,"prod",h).reshape(o)},t.prototype.unsortedSegmentSum=function(e,i,r){var a=0,s=N.backend_util.getAxesPermutation([a],e.rank),o=e;s!=null&&(o=N.transpose(e,s),a=N.backend_util.getInnerMostAxes(1,e.rank)[0]);var l=qS.computeOutShape(o.shape,a,r),u=N.util.sizeFromShape([o.shape[a]]),c=o.as2D(-1,u),h=N.sumOutType(e.dtype),d=this.segOpCompute(c,"unsortedSegmentSum",i,h,r).reshape(l);return s!=null&&(d=N.transpose(d,N.backend_util.getUndoAxesPermutation(s))),d},t.prototype.segOpCompute=function(e,i,r,a,s){var o=e.shape[0],l=e.shape[1],u=qS.segOpComputeOptimalWindowSize(l,s),c={windowSize:u,inSize:l,batchSize:o,numSegments:s},h=new J5(c,i),d=this.compileAndRun(h,[e,r],a);return d.shape[1]===s?d:(r=N.range(0,s).tile([l/u]),this.segOpCompute(d,i,r,a,s))},t.prototype.argMinMaxReduce=function(e,i,r){var a=[i];if(N.backend_util.assertAxesAreInnerMostDims("arg"+r.charAt(0).toUpperCase()+r.slice(1),a,e.rank),!N.env().getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var s=N.backend_util.computeOutAndReduceShapes(e.shape,a),o=s[0],l=s[1],u=N.util.sizeFromShape(l),c=e.as2D(-1,u);return this.argReduce(c,r).reshape(o)}return this.argReducePacked(e,r)},t.prototype.argMin=function(e,i){return this.argMinMaxReduce(e,i,"min")},t.prototype.argMax=function(e,i){return this.argMinMaxReduce(e,i,"max")},t.prototype.cumsum=function(e,i,r,a){if(i!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" "+("but got axis="+i));for(var s=e.shape[i],o=e,l=0;l<=Math.ceil(Math.log2(s))-1;l++){var u=new aS(e.shape,!1,a),c=u.getCustomSetupFunc(l),h=o;o=this.compileAndRun(u,[o],o.dtype,c),h.dispose()}if(r){var u=new aS(e.shape,r,a),h=o;o=this.compileAndRun(u,[o]),h.dispose()}return o},t.prototype.equal=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,MM,"bool");var r=new bt(NM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.notEqual=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,HM,"bool");var r=new bt(xM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.less=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e,i],function(){return r.cpuBackend.less(e,i)});if(a)return a;if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,VM,"bool");var s=new bt(CM,e.shape,i.shape);return this.compileAndRun(s,[e,i],"bool")},t.prototype.lessEqual=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,qM,"bool");var r=new bt(RM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.greater=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e,i],function(){return r.cpuBackend.greater(e,i)});if(a)return a;if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,GM,"bool");var s=new bt(OM,e.shape,i.shape);return this.compileAndRun(s,[e,i],"bool")},t.prototype.greaterEqual=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,YM,"bool");var r=new bt(EM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.logicalNot=function(e){var i=new Re(e.shape,F9);return this.compileAndRun(i,[e])},t.prototype.logicalAnd=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,KM,"bool");var r=new bt(DM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.logicalOr=function(e,i){if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,jM,"bool");var r=new bt(kM,e.shape,i.shape);return this.compileAndRun(r,[e,i],"bool")},t.prototype.select=function(e,i,r){var a=new Z5(e.rank,i.shape,i.rank);return this.compileAndRun(a,[e,i,r],N.upcastType(i.dtype,r.dtype))},t.prototype.where=function(e){N.backend_util.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var i=e.dataSync();return H9(e.shape,i)},t.prototype.topk=function(e,i,r){var a=e.dataSync();return M9(a,e.shape,e.dtype,i,r)},t.prototype.min=function(e,i){N.backend_util.assertAxesAreInnerMostDims("min",i,e.rank);var r=N.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=N.util.sizeFromShape(s),l=e.as2D(-1,o);return this.reduce(l,"min",l.dtype).reshape(a)},t.prototype.minimum=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e,i],function(){return r.cpuBackend.minimum(e,i)});if(a)return a;var s=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Li(XM,e.shape,i.shape):new bt(WM,e.shape,i.shape);return this.compileAndRun(s,[e,i])},t.prototype.mod=function(e,i){var r=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Li(JM,e.shape,i.shape):new bt(UM,e.shape,i.shape);return this.compileAndRun(r,[e,i])},t.prototype.maximum=function(e,i){var r=this,a=this.tryRunOnCpuOrThrow([e,i],function(){return r.cpuBackend.maximum(e,i)});if(a)return a;var s=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Li($M,e.shape,i.shape):new bt(FM,e.shape,i.shape);return this.compileAndRun(s,[e,i])},t.prototype.all=function(e,i){N.backend_util.assertAxesAreInnerMostDims("all",i,e.rank);var r=N.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=N.util.sizeFromShape(s),l=e.as2D(-1,o);return this.reduce(l,"all",l.dtype).reshape(a)},t.prototype.any=function(e,i){N.backend_util.assertAxesAreInnerMostDims("any",i,e.rank);var r=N.backend_util.computeOutAndReduceShapes(e.shape,i),a=r[0],s=r[1],o=N.util.sizeFromShape(s),l=e.as2D(-1,o);return this.reduce(l,"any",l.dtype).reshape(a)},t.prototype.floorDiv=function(e,i){var r=AM,a="int32";if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,zM,a);var s=new bt(r,e.shape,i.shape);return this.compileAndRun(s,[e,i],a)},t.prototype.add=function(e,i){if(e.dtype==="complex64"&&i.dtype==="complex64")return this.complexSeparableBinaryOp(e,i,Wd);var r=N.upcastType(e.dtype,i.dtype);if(this.shouldExecuteOnCPU([e,i])){var a=this.texData.get(e.dataId),s=this.texData.get(i.dataId),o=I_(e.shape,i.shape,a.values,s.values,r),l=o[0],u=o[1];return this.makeOutput(u,r,l)}if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,Wd,r);var c=new bt(Wd,e.shape,i.shape);return this.compileAndRun(c,[e,i],r)},t.prototype.packedUnaryOp=function(e,i,r){var a=new ss(e.shape,i);return this.compileAndRun(a,[e],r)},t.prototype.packedBinaryOp=function(e,i,r,a,s){s===void 0&&(s=!1);var o=new Li(r,e.shape,i.shape,s);return this.compileAndRun(o,[e,i],a)},t.prototype.complexSeparableBinaryOp=function(e,i,r){var a=this,s=this.texData.get(e.dataId),o=this.texData.get(i.dataId),l=[[s.complexTensors.real,o.complexTensors.real],[s.complexTensors.imag,o.complexTensors.imag]].map(function(d){var p=d[0],f=d[1],m=a.makeComplexComponentTensorInfo(e,p),g=a.makeComplexComponentTensorInfo(i,f),v=new bt(r,e.shape,i.shape);return a.compileAndRun(v,[m,g],N.upcastType(p.dtype,f.dtype))}),u=l[0],c=l[1],h=this.complex(u,c);return u.dispose(),c.dispose(),h},t.prototype.makeComplexComponentTensorInfo=function(e,i){return{dataId:i.dataId,dtype:i.dtype,shape:e.shape}},t.prototype.addN=function(e){if(e.length===1)return e[0];if(e.length>N.env().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var i=Math.floor(e.length/2),r=this.addN(e.slice(0,i)),a=this.addN(e.slice(i));return this.addN([r,a])}var s=e.map(function(c){return c.dtype}).reduce(function(c,h){return N.upcastType(c,h)}),o=e.map(function(c){return c.shape}),l=N.env().getBool("WEBGL_PACK"),u=l?new U_(e[0].shape,o):new W_(e[0].shape,o);return this.compileAndRun(u,e,s)},t.prototype.subtract=function(e,i){if(e.dtype==="complex64"&&i.dtype==="complex64")return this.complexSeparableBinaryOp(e,i,Ud);var r=N.upcastType(e.dtype,i.dtype);if(this.shouldExecuteOnCPU([e,i])){var a=this.texData.get(e.dataId),s=this.texData.get(i.dataId),o=k_(e.shape,i.shape,a.values,s.values,r),l=o[0],u=o[1];return this.makeOutput(u,r,l)}if(N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,i,Ud,e.dtype);var c=new bt(Ud,e.shape,i.shape);return this.compileAndRun(c,[e,i],r)},t.prototype.pow=function(e,i){var r=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS"),a=r?new Li(PM,e.shape,i.shape):new bt(TM,e.shape,i.shape),s=N.upcastType(e.dtype,i.dtype);return this.compileAndRun(a,[e,i],s)},t.prototype.ceil=function(e){if(this.shouldExecuteOnCPU([e])){var i=A_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,BS,e.dtype);var r=new Re(e.shape,BS);return this.compileAndRun(r,[e])},t.prototype.floor=function(e){if(this.shouldExecuteOnCPU([e])){var i=x_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,zS,e.dtype);var r=new Re(e.shape,zS);return this.compileAndRun(r,[e])},t.prototype.sign=function(e){var i=new Re(e.shape,d9);return this.compileAndRun(i,[e])},t.prototype.isNaN=function(e){var i=new Re(e.shape,p9);return this.compileAndRun(i,[e],"bool")},t.prototype.isInf=function(e){var i=new Re(e.shape,f9);return this.compileAndRun(i,[e],"bool")},t.prototype.isFinite=function(e){var i=new Re(e.shape,m9);return this.compileAndRun(i,[e],"bool")},t.prototype.round=function(e){var i=new Re(e.shape,g9);return this.compileAndRun(i,[e])},t.prototype.exp=function(e){if(this.shouldExecuteOnCPU([e])){var i=T_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,PS,e.dtype);var r=new Re(e.shape,PS);return this.compileAndRun(r,[e])},t.prototype.expm1=function(e){if(this.shouldExecuteOnCPU([e])){var i=N_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,_S,e.dtype);var r=new Re(e.shape,_S);return this.compileAndRun(r,[e])},t.prototype.softmax=function(e,i){var r=N.util.parseAxisParam([i],e.shape),a=N.max(e,r),s=N.backend_util.expandShapeToKeepDim(a.shape,r),o=this.subtract(e,a.reshape(s)),l=this.exp(o),u=this.sum(l,r).reshape(s);return N.div(l,u)},t.prototype.log=function(e){if(this.shouldExecuteOnCPU([e])){var i=C_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,B9,e.dtype);var r=new Re(e.shape,v9);return this.compileAndRun(r,[e])},t.prototype.log1p=function(e){var i=new Re(e.shape,y9);return this.compileAndRun(i,[e])},t.prototype.sqrt=function(e){var i=new Re(e.shape,b9);return this.compileAndRun(i,[e])},t.prototype.rsqrt=function(e){if(this.shouldExecuteOnCPU([e])){var i=E_(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,i)}var r=new Re(e.shape,w9);return this.compileAndRun(r,[e])},t.prototype.reciprocal=function(e){var i=new Re(e.shape,k9);return this.compileAndRun(i,[e])},t.prototype.relu=function(e){var i;return N.env().getBool("WEBGL_PACK")?i=new ss(e.shape,MS):i=new Re(e.shape,kS),this.compileAndRun(i,[e])},t.prototype.relu6=function(e){var i;return N.env().getBool("WEBGL_PACK")?i=new ss(e.shape,HS):i=new Re(e.shape,FS),this.compileAndRun(i,[e])},t.prototype.prelu=function(e,i){var r=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Li(Q0,e.shape,i.shape):new bt(Z0,e.shape,i.shape);return this.compileAndRun(r,[e,i])},t.prototype.elu=function(e){if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,VS,e.dtype);var i=new Re(e.shape,WS);return this.compileAndRun(i,[e])},t.prototype.eluDer=function(e,i){var r=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Li(_M,e.shape,i.shape):new bt(BM,e.shape,i.shape);return this.compileAndRun(r,[e,i])},t.prototype.selu=function(e){var i=new Re(e.shape,c9);return this.compileAndRun(i,[e])},t.prototype.int=function(e){var i=new Re(e.shape,W9);return this.compileAndRun(i,[e],"int32")},t.prototype.clip=function(e,i,r){var a;N.env().getBool("WEBGL_PACK_CLIP")?a=new QM(e.shape):a=new ZM(e.shape);var s=a.getCustomSetupFunc(i,r);return this.compileAndRun(a,[e],null,s)},t.prototype.abs=function(e){if(this.shouldExecuteOnCPU([e])&&e.dtype!=="complex64"){var i=L_(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,i)}if(N.env().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,DS,e.dtype);var r=new Re(e.shape,DS);return this.compileAndRun(r,[e])},t.prototype.complexAbs=function(e){var i=this.texData.get(e.dataId),r=new e5(e.shape),a=[this.makeComplexComponentTensorInfo(e,i.complexTensors.real),this.makeComplexComponentTensorInfo(e,i.complexTensors.imag)];return this.compileAndRun(r,a)},t.prototype.sigmoid=function(e){var i=new Re(e.shape,S9);return this.compileAndRun(i,[e])},t.prototype.softplus=function(e){var i=new Re(e.shape,L9);return this.compileAndRun(i,[e])},t.prototype.asin=function(e){var i=new Re(e.shape,I9);return this.compileAndRun(i,[e])},t.prototype.acos=function(e){var i=new Re(e.shape,A9);return this.compileAndRun(i,[e])},t.prototype.atan=function(e){var i=new Re(e.shape,T9);return this.compileAndRun(i,[e])},t.prototype.sinh=function(e){var i=new Re(e.shape,N9);return this.compileAndRun(i,[e])},t.prototype.cosh=function(e){var i=new Re(e.shape,x9);return this.compileAndRun(i,[e])},t.prototype.tanh=function(e){var i=new Re(e.shape,C9);return this.compileAndRun(i,[e])},t.prototype.asinh=function(e){var i=new Re(e.shape,R9);return this.compileAndRun(i,[e])},t.prototype.acosh=function(e){var i=new Re(e.shape,O9);return this.compileAndRun(i,[e])},t.prototype.atanh=function(e){var i=new Re(e.shape,E9);return this.compileAndRun(i,[e])},t.prototype.erf=function(e){var i=new Re(e.shape,D9);return this.compileAndRun(i,[e])},t.prototype.step=function(e,i){var r=new Re(e.shape,h9(i));return this.compileAndRun(r,[e])},t.prototype.conv2dByMatMul=function(e,i,r,a,s,o){var l=e.shape,u=this.texData.get(e.dataId),c=r.inChannels,h=l[0]*l[1]*l[2],d=r.outChannels,p=r.dataFormat==="channelsLast",f=!1,m=!1,g=(h===1||d===1)&&c>GS,v=l[2]%2!==0&&!!u.isPacked;if(g||!N.env().getBool("WEBGL_LAZILY_UNPACK")||!N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!v){var b=p?l[0]*l[1]*l[2]:l[0]*l[2]*l[3],w=N.reshape(e,[1,b,r.inChannels]),S=N.reshape(i,[1,r.inChannels,r.outChannels]),L=this.fusedBatchMatMul({a:w,b:S,transposeA:f,transposeB:m,bias:a,activation:s,preluActivationWeights:o});return N.reshape(L,r.outShape)}var x=p?l[0]*l[1]*(l[2]+1):l[0]*l[2]*(l[3]+1),C={dataId:e.dataId,shape:[1,x,r.inChannels],dtype:e.dtype},R=u.shape;u.shape=u.shape.slice(),u.shape[u.shape.length-2]++,N.util.assert(is(u.shape,C.shape),function(){return"packed reshape "+u.shape+" to "+C.shape+" isn't free"});var D=N.reshape(i,[1,r.inChannels,r.outChannels]),k=this.fusedBatchMatMul({a:C,b:D,transposeA:f,transposeB:m,bias:a,activation:s,preluActivationWeights:o}),W=this.texData.get(k.dataId);return N.util.assert(W.isPacked,function(){return"batchMatMul result is expected to be packed"}),u.shape=R,W.shape=r.outShape,N.engine().makeTensorFromDataId(k.dataId,r.outShape,k.dtype)},t.prototype.conv2dWithIm2Row=function(e,i,r,a,s,o){var l=r.filterWidth,u=r.filterHeight,c=r.inChannels,h=r.outWidth,d=r.outHeight,p=r.dataFormat,f=p==="channelsLast",m=l*u*c,g=d*h,v=[m,g],b=!0,w=!1,S=e.squeeze([0]),L=i.reshape([1,m,-1]),x=new C5(v,S.shape,r),C=this.compileAndRun(x,[S]).reshape([1,v[0],v[1]]),R=a!=null,D=o!=null,k=s?Go(s,!0):null,W=new Hd(C.shape,[1,g,r.outChannels],b,w,R,k,D),F=[C,L];a&&F.push(a),D&&F.push(o);var P=this.compileAndRun(W,F);return f?P.reshape([1,d,h,r.outChannels]):P.reshape([1,r.outChannels,d,h])},t.prototype.fusedConv2d=function(e){var i=e.input,r=e.filter,a=e.convInfo,s=e.bias,o=e.activation,l=e.preluActivationWeights;if(a.filterHeight===1&&a.filterWidth===1&&a.dilationHeight===1&&a.dilationWidth===1&&a.strideHeight===1&&a.strideWidth===1&&(a.padInfo.type==="SAME"||a.padInfo.type==="VALID"))return this.conv2dByMatMul(i,r,a,s,o,l);if(N.env().getBool("WEBGL_CONV_IM2COL")&&i.shape[0]===1)return this.conv2dWithIm2Row(i,r,a,s,o,l);var u=s!=null,c=l!=null,h=o?Go(o,!1):null,d=new eS(a,u,h,c),p=[i,r];return s&&p.push(s),l&&p.push(l),this.compileAndRun(d,p)},t.prototype.conv2d=function(e,i,r){if(r.filterHeight===1&&r.filterWidth===1&&r.dilationHeight===1&&r.dilationWidth===1&&r.strideHeight===1&&r.strideWidth===1&&(r.padInfo.type==="SAME"||r.padInfo.type==="VALID"))return this.conv2dByMatMul(e,i,r);if(N.env().getBool("WEBGL_CONV_IM2COL")&&e.shape[0]===1)return this.conv2dWithIm2Row(e,i,r);var a=new eS(r);return this.compileAndRun(a,[e,i])},t.prototype.conv2dDerInput=function(e,i,r){var a=new r5(r);return this.compileAndRun(a,[e,i])},t.prototype.conv2dDerFilter=function(e,i,r){var a=new i5(r);return this.compileAndRun(a,[e,i])},t.prototype.fusedDepthwiseConv2D=function(e){var i=e.input,r=e.filter,a=e.convInfo,s=e.bias,o=e.activation,l=e.preluActivationWeights,u=N.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&a.strideWidth<=2&&a.outChannels/a.inChannels===1,c=o?Go(o,u):null,h=[i,r],d=s!=null,p=l!=null;d&&h.push(s),p&&h.push(l);var f;return u?(f=new nS(a,d,c,p),this.compileAndRun(f,h)):(f=new tS(a,d,c,p),this.compileAndRun(f,h))},t.prototype.depthwiseConv2D=function(e,i,r){var a;return N.env().getBool("WEBGL_PACK_DEPTHWISECONV")&&r.strideWidth<=2&&r.outChannels/r.inChannels===1?(a=new nS(r),this.compileAndRun(a,[e,i])):(a=new tS(r),this.compileAndRun(a,[e,i]))},t.prototype.depthwiseConv2DDerInput=function(e,i,r){var a=new l5(r);return this.compileAndRun(a,[e,i])},t.prototype.depthwiseConv2DDerFilter=function(e,i,r){var a=new o5(r);return this.compileAndRun(a,[e,i])},t.prototype.conv3d=function(e,i,r){var a=new u5(r);return this.compileAndRun(a,[e,i])},t.prototype.conv3dDerInput=function(e,i,r){var a=new s5(r);return this.compileAndRun(a,[e,i])},t.prototype.conv3dDerFilter=function(e,i,r){var a=new a5(r);return this.compileAndRun(a,[e,i])},t.prototype.cast=function(e,i){return N.backend_util.castTensor(e,i,this)},t.prototype.unstack=function(e,i){for(var r=e.shape[i],a=new Array(e.rank-1),s=0,o=0;o<e.rank;o++)o!==i&&(a[s++]=e.shape[o]);var l=new Array(e.rank).fill(0),u=e.shape.slice();u[i]=1;for(var c=new Array(r),o=0;o<c.length;o++)l[i]=o,c[o]=this.slice(e,l,u).reshape(a);return c},t.prototype.avgPool3d=function(e,i){var r=new Vd(i,"avg",!1);return this.compileAndRun(r,[e],"float32")},t.prototype.avgPool3dBackprop=function(e,i,r){var a=new IM(r);return this.compileAndRun(a,[e],i.dtype)},t.prototype.maxPool3d=function(e,i){var r=new Vd(i,"max",!1);return this.compileAndRun(r,[e],"float32")},t.prototype.maxPool3dBackprop=function(e,i,r,a){var s=!0,o=new Vd(a,"max",s),l=this.compileAndRun(o,[i]),u=new k5(a),c=this.compileAndRun(u,[e,l],i.dtype);return l.dispose(),c},t.prototype.resizeBilinear=function(e,i,r,a){var s=N.env().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Y5(e.shape,i,r,a):new G5(e.shape,i,r,a);return this.compileAndRun(s,[e],"float32")},t.prototype.resizeBilinearBackprop=function(e,i,r){var a=new q5(e,i,r);return this.compileAndRun(a,[e])},t.prototype.resizeNearestNeighbor=function(e,i,r,a){var s=new j5(e.shape,i,r,a);return this.compileAndRun(s,[e])},t.prototype.resizeNearestNeighborBackprop=function(e,i,r){var a=new K5(e,i,r);return this.compileAndRun(a,[e])},t.prototype.multinomial=function(e,i,r,a){var s=i?e:N.softmax(e),o=s.shape[0],l=s.shape[1],u=new F5(o,l,r),c=u.getCustomSetupFunc(a);return this.compileAndRun(u,[s],"int32",c)},t.prototype.oneHot=function(e,i,r,a){var s=new W5(e.size,i,r,a);return this.compileAndRun(s,[e])},t.prototype.diag=function(e){var i=new f5(e.size);return this.compileAndRun(i,[e])},t.prototype.cropAndResize=function(e,i,r,a,s,o){var l=new c5(e.shape,i.shape,a,s,o);return this.compileAndRun(l,[e,i,r],"float32")},t.prototype.depthToSpace=function(e,i,r){N.util.assert(i>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+i});var a=e.shape[0],s=r==="NHWC"?e.shape[1]:e.shape[2],o=r==="NHWC"?e.shape[2]:e.shape[3],l=r==="NHWC"?e.shape[3]:e.shape[1],u=s*i,c=o*i,h=l/(i*i),d=r==="NHWC"?[a,u,c,h]:[a,h,u,c],p=new p5(d,i,r);return this.compileAndRun(p,[e])},t.prototype.split=function(e,i,r){return P9(e,i,r)},t.prototype.scatterND=function(e,i,r){var a=N.backend_util.calculateShapes(i,e,r),s=a.sliceRank,o=a.numUpdates,l=a.sliceSize,u=a.strides,c=a.outputSize,h=[c/l,l],d=e.reshape([o,s]),p=i.reshape([o,l]);if(c===0)return N.backend_util.reshapeTensor(N.tensor([]),r);var f=N.scalar(0),m=new CS(o,s,d.rank,p.rank,u,h),g=this.compileAndRun(m,[p,d,f]);return g.reshape(r)},t.prototype.sparseToDense=function(e,i,r,a){var s=N.backend_util.calculateShapes(i,e,r),o=s.sliceRank,l=s.numUpdates,u=s.strides,c=s.outputSize,h=!1,d=new CS(l,o,e.rank,i.rank,u,[c,1],h),p=this.compileAndRun(d,[i,e,a]);return p.reshape(r)},t.prototype.fft=function(e){var i=!1;return this.fftImpl(e,i)},t.prototype.ifft=function(e){var i=!0;return this.fftImpl(e,i)},t.prototype.fftImpl=function(e,i){var r=this.texData.get(e.dataId),a=new oS(sS.REAL,e.shape,i),s=new oS(sS.IMAG,e.shape,i),o=[this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],l=this.compileAndRun(a,o),u=this.compileAndRun(s,o),c=this.complex(l,u).as2D(e.shape[0],e.shape[1]);return l.dispose(),u.dispose(),c},t.prototype.gatherND=function(e,i){var r=i.shape,a=r[r.length-1],s=N.backend_util.prepareAndValidate(e,i),o=s[0],l=s[1],u=s[2],c=s[3],h=i.reshape([l,a]),d=e.reshape([e.size/u,u]),p=new L5(a,c,[l,u]),f=this.compileAndRun(p,[d,h]);return f.reshape(o)},t.prototype.fill=function(e,i,r){if(r=r||N.util.inferDtype(i),r==="string"){var a=N.util.getArrayFromDType(r,N.util.sizeFromShape(e));return a.fill(i),N.engine().makeTensor(a,e,r,this)}else{var s=new b5(e,i),o=s.getCustomSetupFunc(i);return this.compileAndRun(s,[],r,o)}},t.prototype.onesLike=function(e){if(e.dtype==="string")throw new Error("onesLike is not supported under string dtype");return this.fill(e.shape,1,e.dtype)},t.prototype.zerosLike=function(e){return this.fill(e.shape,e.dtype==="string"?"":0,e.dtype)},t.prototype.linspace=function(e,i,r){return N.backend_util.linspaceImpl(e,i,r)},t.prototype.makeTensorInfo=function(e,i,r){var a=this.write(r,e,i);return this.texData.get(a).usage=null,{dataId:a,shape:e,dtype:i}},t.prototype.makeOutput=function(e,i,r){var a=this.makeTensorInfo(e,i,r).dataId;return N.engine().makeTensorFromDataId(a,e,i,this)},t.prototype.unpackTensor=function(e){var i=new z9(e.shape);return this.runWebGLProgram(i,[e],e.dtype)},t.prototype.packTensor=function(e){var i=new P5(e.shape),r=!0;return this.runWebGLProgram(i,[e],e.dtype,null,r)},t.prototype.packedReshape=function(e,i){var r=[ar(e.shape)].concat(sr(e.shape)),a={dtype:e.dtype,shape:r,dataId:e.dataId},s=[ar(i)].concat(sr(i)),o=new xS(s,r),l=!0,u=this.runWebGLProgram(o,[a],e.dtype,null,l);return{dataId:u.dataId,shape:i,dtype:u.dtype}},t.prototype.decode=function(e){var i=this.texData.get(e),r=i.isPacked,a=i.shape,s=i.dtype,o=Bo(a),l;r?l=new d5(o):l=new h5(o);var u=!0,c=this.runWebGLProgram(l,[{shape:o,dtype:s,dataId:e}],s,null,u);return{dtype:s,shape:a,dataId:c.dataId}},t.prototype.runWebGLProgram=function(e,i,r,a,s){var o=this;s===void 0&&(s=!1);var l=this.makeTensorInfo(e.outputShape,r),u=this.texData.get(l.dataId);if(e.packedOutput&&(u.isPacked=!0),e.outPackingScheme===Za.DENSE){var c=es(e.outputShape);u.texShape=c.map(function(w){return w*2})}if(e.outTexUsage!=null&&(u.usage=e.outTexUsage),N.util.sizeFromShape(l.shape)===0)return u.values=N.util.getTypedArrayFromDType(l.dtype,0),l;var h=[],d=i.map(function(w){if(w.dtype==="complex64")throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var S=o.texData.get(w.dataId);if(S.texture==null){if(!e.packedInputs&&N.util.sizeFromShape(w.shape)<=N.env().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:w.shape,texData:null,isUniform:!0,uniformValues:S.values};e.packedInputs&&(S.isPacked=!0,S.shape=w.shape)}else if(!!S.isPacked!==!!e.packedInputs)w=S.isPacked?o.unpackTensor(w):o.packTensor(w),h.push(w),S=o.texData.get(w.dataId);else if(S.isPacked&&!is(S.shape,w.shape)){var L=w,x=w.shape;w.shape=S.shape,w=o.packedReshape(w,x),h.push(w),S=o.texData.get(w.dataId),L.shape=x}return o.uploadToGPU(w.dataId),{shape:w.shape,texData:S,isUniform:!1}});this.uploadToGPU(l.dataId);var p={shape:l.shape,texData:u,isUniform:!1},f=x5(e,d,p),m=this.getAndSaveBinary(f,function(){return T5(o.gpgpu,e,d,p)}),g=this.activeTimers!=null,v;if(g&&(v=this.startTimer()),N5(this.gpgpu,m,d,p,a),h.forEach(function(w){return o.disposeIntermediateTensorInfo(w)}),g&&(v=this.endTimer(v),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(v)})),!N.env().getBool("WEBGL_LAZILY_UNPACK")&&u.isPacked&&s===!1){var b=this.unpackTensor(l);return this.disposeIntermediateTensorInfo(l),b}return l},t.prototype.compileAndRun=function(e,i,r,a,s){s===void 0&&(s=!1),r=r||i[0].dtype;var o=this.runWebGLProgram(e,i,r,a,s);return N.engine().makeTensorFromDataId(o.dataId,o.shape,o.dtype)},t.prototype.getAndSaveBinary=function(e,i){return e in this.binaryCache||(this.binaryCache[e]=i()),this.binaryCache[e]},t.prototype.getTextureManager=function(){return this.textureManager},t.prototype.dispose=function(){var e=this;if(this.disposed)return;if(!N.env().getBool("IS_TEST")){var i=Object.keys(this.binaryCache);i.forEach(function(r){e.gpgpu.deleteProgram(e.binaryCache[r].webGLProgram),delete e.binaryCache[r]})}this.textureManager.dispose(),this.canvas!=null&&typeof HTMLCanvasElement!="undefined"&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0},t.prototype.floatPrecision=function(){var e=this;return this.floatPrecisionValue==null&&(this.floatPrecisionValue=N.tidy(function(){if(!N.env().get("WEBGL_RENDER_FLOAT32_ENABLED")){var i=N.env().getBool("DEBUG");N.env().set("DEBUG",!1);var r=e.abs(N.scalar(1e-8)).dataSync()[0];if(N.env().set("DEBUG",i),r>0)return 32}return 16})),this.floatPrecisionValue},t.prototype.epsilon=function(){return this.floatPrecision()===32?V9:q9},t.prototype.uploadToGPU=function(e){var i,r=this.texData.get(e),a=r.shape,s=r.dtype,o=r.values,l=r.texture,u=r.usage,c=r.isPacked;if(l!=null)return;var h=this.activeTimers!=null,d;h&&(d=N.util.now());var p=r.texShape;if(p==null&&(p=W0(a,c),r.texShape=p),o!=null){var f=Bo(a),m=void 0,g=p[1],v=p[0],b=o instanceof Uint8Array;c?(i=Xr(p[0],p[1]),g=i[0],v=i[1],m=new y5(f,[v,g],b)):m=new v5(f,[v,g],b);var w=this.makeTensorInfo([v,g],s);b?this.texData.get(w.dataId).usage=en.PIXELS:this.texData.get(w.dataId).usage=en.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(w.dataId),g,v,o);var S=!0,L=this.runWebGLProgram(m,[w],s,null,S),x=this.texData.get(L.dataId);r.texture=x.texture,r.texShape=x.texShape,r.isPacked=x.isPacked,r.usage=x.usage,this.disposeIntermediateTensorInfo(w),this.texData.delete(L.dataId),r.values=null,h&&(this.uploadWaitMs+=N.util.now()-d)}else{var C=this.acquireTexture(p,u,s,c);r.texture=C}},t.prototype.convertAndCacheOnCPU=function(e,i){var r=this.texData.get(e),a=r.dtype;return this.releaseGPUData(e),i!=null&&(r.values=$9(i,a)),r.values},t.prototype.acquireTexture=function(e,i,r,a){if(this.numBytesInGPU+=this.computeBytes(e,r),!this.warnedAboutMemory&&this.numBytesInGPU>this.numMBBeforeWarning*1024*1024){var s=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+s+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(e,i,a)},t.prototype.computeBytes=function(e,i){return e[0]*e[1]*N.util.bytesPerElement(i)},t.prototype.tryRunOnCpuOrThrow=function(e,i){if(this.shouldExecuteOnCPU(e))try{return i()}catch(r){if(N.env().getBool("IS_TEST"))throw new Error("CPU forwarding failed")}return null},t}(N.KernelBackend);function $9(n,t){if(t==="float32"||t==="complex64")return n;if(t==="int32"||t==="bool"){for(var e=t==="int32"?new Int32Array(n.length):new Uint8Array(n.length),i=0;i<e.length;++i)e[i]=Math.round(n[i]);return e}else throw new Error("Unknown dtype "+t)}var X9="2.6.0";function KS(){N.env().set("WEBGL_FORCE_F16_TEXTURES",!0)}N.device_util.isBrowser()&&N.registerBackend("webgl",function(){return new YS},2);var J9={forceHalfFloat:KS},jS="if (isnan(x)) return x;",Z9=`
|
|
if (isnan(a)) return a;
|
|
if (isnan(b)) return b;
|
|
`,Q9=`
|
|
result.r = isNaN.r > 0. ? NAN : result.r;
|
|
result.g = isNaN.g > 0. ? NAN : result.g;
|
|
result.b = isNaN.b > 0. ? NAN : result.b;
|
|
result.a = isNaN.a > 0. ? NAN : result.a;
|
|
`;function Yo(n){return function(t){var e=t.inputs,i=t.backend,r=e.x,a=i,s=new Re(r.shape,n);return a.runWebGLProgram(s,[r],r.dtype)}}function Gd(n,t,e,i){return function(r){var a=r.inputs,s=r.backend,o=a,l=o.a,u=o.b,c=s,h=N.env().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Li(t,l.shape,u.shape,!!e):new bt(n,l.shape,u.shape),d=i||l.dtype,p=c.runWebGLProgram(h,[l,u],d);return p}}var e6=Z9+`
|
|
return atan(a, b);
|
|
`,t6=`
|
|
vec4 result = atan(a, b);
|
|
vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));
|
|
`+Q9+`
|
|
return result;
|
|
`,n6=Gd(e6,t6),i6={kernelName:N.Atan2,backendName:"webgl",kernelFunc:n6};function Yd(n){var t=n.inputs,e=n.backend,i=t.x;return e.incRef(i.dataId),{dataId:i.dataId,shape:i.shape,dtype:i.dtype}}var r6={kernelName:N.Identity,backendName:"webgl",kernelFunc:Yd};function a6(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x;Jr(r,"avgPool");var a=i.filterSize,s=i.strides,o=i.pad,l=i.dimRoundingMode,u=1;N.util.assert(N.backend_util.eitherStridesOrDilationsAreOne(s,u),function(){return"Error in avgPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+u+"'")});var c=N.backend_util.computePool2DInfo(r.shape,a,s,u,o,l);if(c.filterWidth===1&&c.filterHeight===1&&N.util.arraysEqual(c.inShape,c.outShape))return Yd({inputs:{x:r},backend:e});var h=new as(c,"avg",!1);return e.runWebGLProgram(h,[r],"float32")}var s6={kernelName:N.AvgPool,backendName:"webgl",kernelFunc:a6};function o6(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.dy,a=t.input,s=a;Jr([r,a],"avgPoolBackprop");var o=i.filterSize,l=i.strides,u=i.pad,c=N.backend_util.computePool2DInfo(s.shape,o,l,1,u),h=new LM(c);return e.runWebGLProgram(h,[r],s.dtype)}var l6={kernelName:N.AvgPoolBackprop,backendName:"webgl",kernelFunc:o6};var u6=function(){function n(t,e,i,r,a,s){this.outputShape=[],this.variableNames=["x","mean","variance"],N.backend_util.assertAndGetBroadcastShape(t,e),N.backend_util.assertAndGetBroadcastShape(t,i);var o="0.0";r!=null&&(N.backend_util.assertAndGetBroadcastShape(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var l="1.0";a!=null&&(N.backend_util.assertAndGetBroadcastShape(t,a),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
|
|
void main() {
|
|
float x = getXAtOutCoords();
|
|
float mean = getMeanAtOutCoords();
|
|
float variance = getVarianceAtOutCoords();
|
|
float offset = `+o+`;
|
|
float scale = `+l+`;
|
|
float inv = scale * inversesqrt(variance + float(`+s+`));
|
|
setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));
|
|
}
|
|
`}return n}();var c6=function(){function n(t,e,i,r,a,s){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],N.backend_util.assertAndGetBroadcastShape(t,e),N.backend_util.assertAndGetBroadcastShape(t,i);var o="vec4(0.0)";r!=null&&(N.backend_util.assertAndGetBroadcastShape(t,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var l="vec4(1.0)";a!=null&&(N.backend_util.assertAndGetBroadcastShape(t,a),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=t,this.userCode=`
|
|
void main() {
|
|
vec4 offset = `+o+`;
|
|
vec4 scale = `+l+`;
|
|
|
|
vec4 x = getXAtOutCoords();
|
|
vec4 mean = getMeanAtOutCoords();
|
|
vec4 variance = getVarianceAtOutCoords();
|
|
|
|
vec4 inv = scale * inversesqrt(variance + vec4(`+s+`));
|
|
|
|
setOutput((x - mean) * inv + offset);
|
|
}
|
|
`}return n}();var h6=function(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=t.mean,s=t.variance,o=t.offset,l=t.scale;N.util.assert(a.shape.length===s.shape.length,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),N.util.assert(o==null||a.shape.length===o.shape.length,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),N.util.assert(l==null||a.shape.length===l.shape.length,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."});var u=i.varianceEpsilon;u==null&&(u=.001);var c=[r,a,s],h=null;o!=null&&(h=o.shape,c.push(o));var d=null;l!=null&&(d=l.shape,c.push(l));var p=N.env().getBool("WEBGL_PACK_NORMALIZATION")?new c6(r.shape,a.shape,s.shape,h,d,u):new u6(r.shape,a.shape,s.shape,h,d,u),f=e.runWebGLProgram(p,c,c[0].dtype);return f},d6={kernelName:N.FusedBatchNorm,backendName:"webgl",kernelFunc:h6};var p6=jS+`
|
|
return cos(x);
|
|
`,f6=Yo(p6),m6={kernelName:N.Cos,backendName:"webgl",kernelFunc:f6};var g6=`
|
|
if (a == b) {
|
|
return 1.0;
|
|
};
|
|
return a / b;`,v6=`
|
|
// vec4 one = vec4(equal(a, b));
|
|
// return one + (vec4(1.0) - one) * a / b;
|
|
vec4 result = a / b;
|
|
if(a.x == b.x) {
|
|
result.x = 1.;
|
|
}
|
|
if(a.y == b.y) {
|
|
result.y = 1.;
|
|
}
|
|
if(a.z == b.z) {
|
|
result.z = 1.;
|
|
}
|
|
if(a.w == b.w) {
|
|
result.w = 1.;
|
|
}
|
|
|
|
return result;
|
|
`,y6=Gd(g6,v6,!0),b6={kernelName:N.Div,backendName:"webgl",kernelFunc:y6};var w6=function(){function n(t){this.variableNames=["Image"],this.outputShape=[];var e=t[2];this.outputShape=t,this.userCode=`
|
|
void main() {
|
|
ivec4 coords = getOutputCoords();
|
|
int x = coords[2];
|
|
|
|
int coordX = `+e+` - x;
|
|
float outputValue;
|
|
if(coordX >= 0 && coordX < `+e+`) {
|
|
outputValue = getImage(coords[0], coords[1], coordX, coords[3]);
|
|
} else {
|
|
outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);
|
|
}
|
|
setOutput(outputValue);
|
|
}
|
|
`}return n}();var S6={kernelName:N.FlipLeftRight,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=t.image,r=e,a=new w6(i.shape),s=r.runWebGLProgram(a,[i],i.dtype);return s}};var L6=function(){function n(t){this.variableNames=["A"];var e=Dt(),i=t[0],r=t[1];this.outputShape=t,this.userCode=`
|
|
void main() {
|
|
ivec3 coords = getOutputCoords();
|
|
int texR = coords[0];
|
|
int texC = coords[1];
|
|
int depth = coords[2];
|
|
vec2 uv = (vec2(texC, texR) + halfCR) / vec2(`+r+".0, "+i+`.0);
|
|
|
|
vec4 values = `+e.texture2D+`(A, uv);
|
|
float value;
|
|
if (depth == 0) {
|
|
value = values.r;
|
|
} else if (depth == 1) {
|
|
value = values.g;
|
|
} else if (depth == 2) {
|
|
value = values.b;
|
|
} else if (depth == 3) {
|
|
value = values.a;
|
|
}
|
|
|
|
setOutput(floor(value * 255.0 + 0.5));
|
|
}
|
|
`}return n}();var I6=function(){function n(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=Dt(),i=t[0],r=t[1];this.outputShape=t,this.userCode=`
|
|
void main() {
|
|
ivec3 coords = getOutputCoords();
|
|
int texR = coords[0];
|
|
int texC = coords[1];
|
|
int depth = coords[2];
|
|
|
|
vec4 result = vec4(0.);
|
|
|
|
for(int row=0; row<=1; row++) {
|
|
for(int col=0; col<=1; col++) {
|
|
texC = coords[1] + row;
|
|
depth = coords[2] + col;
|
|
|
|
vec2 uv = (vec2(texC, texR) + halfCR) /
|
|
vec2(`+r+".0, "+i+`.0);
|
|
vec4 values = `+e.texture2D+`(A, uv);
|
|
float value;
|
|
if (depth == 0) {
|
|
value = values.r;
|
|
} else if (depth == 1) {
|
|
value = values.g;
|
|
} else if (depth == 2) {
|
|
value = values.b;
|
|
} else if (depth == 3) {
|
|
value = values.a;
|
|
}
|
|
|
|
result[row * 2 + col] = floor(value * 255.0 + 0.5);
|
|
}
|
|
}
|
|
|
|
`+e.output+` = result;
|
|
}
|
|
`}return n}();var T6={kernelName:N.FromPixels,backendName:"webgl",kernelFunc:A6},ia;function A6(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.pixels,a=i.numChannels,s=typeof HTMLVideoElement!="undefined"&&r instanceof HTMLVideoElement,o=typeof HTMLImageElement!="undefined"&&r instanceof HTMLImageElement,l=s?[r.videoWidth,r.videoHeight]:[r.width,r.height],u=l[0],c=l[1],h=[c,u],d=[c,u,a];(o||s)&&(ia==null&&(ia=document.createElement("canvas").getContext("2d")),ia.canvas.width=u,ia.canvas.height=c,ia.drawImage(r,0,0,u,c),r=ia.canvas);var p=e.makeTensorInfo(h,"int32");e.texData.get(p.dataId).usage=en.PIXELS,e.gpgpu.uploadPixelDataToTexture(e.getTexture(p.dataId),r);var f=N.env().getBool("WEBGL_PACK")?new I6(d):new L6(d),m=e.runWebGLProgram(f,[p],"int32");return e.disposeData(p.dataId),m}function N6(n){for(var t=[];t.length===0||t[t.length-1].outSize!==1;){var e=t.length?t[t.length-1].outSize:n[1],i=N.backend_util.computeOptimalWindowSize(e);t.push({inSize:e,windowSize:i,outSize:Math.ceil(e/i)})}return t}function x6(n,t,e,i){for(var r=N6(n.shape),a=n,s=0;s<r.length;s++){var o=r[s],l=o.inSize,u=o.windowSize,c=o.outSize,h=new NS({windowSize:u,inSize:l,batchSize:n.shape[0],outSize:c},e),d=a;a=i.runWebGLProgram(h,[a],t),d.dataId!==n.dataId&&i.disposeData(d.dataId)}return a}function C6(n,t,e){var i=[ar(n.shape)].concat(sr(n.shape)),r={dtype:n.dtype,shape:i,dataId:n.dataId},a=[ar(t)].concat(sr(t)),s=new xS(a,i),o=!0,l=e.runWebGLProgram(s,[r],n.dtype,null,o);return{dataId:l.dataId,shape:t,dtype:l.dtype}}function Kd(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x,a=i.shape,s=e,o=N.util.sizeFromShape(r.shape),l=N.util.inferFromImplicitShape(a,o),u=N.util.sizeFromShape(l);N.util.assert(o===u,function(){return"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."});var c=s.texData.get(r.dataId);return c.isPacked&&!is(r.shape,l)&&!(c.texture!==null&&is(c.shape,l))?C6(r,l,s):(s.incRef(r.dataId),{dataId:r.dataId,shape:l,dtype:r.dtype})}var R6={kernelName:N.Reshape,backendName:"webgl",kernelFunc:Kd};function O6(n,t,e,i){var r=N.util.sizeFromShape(t),a=N.util.sizeFromShape(n.shape),s=a/r,o=Kd({inputs:{x:n},attrs:{shape:[s,r]},backend:i}),l=x6(o,n.dtype,"max",i),u=Kd({inputs:{x:l},attrs:{shape:e},backend:i});return i.disposeIntermediateTensorInfo(o),i.disposeIntermediateTensorInfo(l),u}var D6=function(){function n(t,e){this.variableNames=["A"];for(var i=new Array(t.length),r=0;r<i.length;r++)i[r]=t[e[r]];this.outputShape=i,this.rank=i.length;var a=Je(this.rank),s=E6(e);this.userCode=`
|
|
void main() {
|
|
`+a+` resRC = getOutputCoords();
|
|
setOutput(getA(`+s+`));
|
|
}
|
|
`}return n}();function E6(n){var t=n.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var e=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],i=new Array(t),r=0;r<n.length;r++)i[n[r]]=e[r];return i.join()}var k6=function(){function n(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var i=new Array(t.length),r=0;r<i.length;r++)i[r]=t[e[r]];if(this.outputShape=i,this.rank=i.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");for(var a=Je(this.rank),s=V0("rc",this.rank),o=new Array(this.rank),r=0;r<e.length;r++)o[e[r]]=s[r];var l="vec2("+o.slice(-2).join()+")",u="++"+s[this.rank-1]+" < "+i[this.rank-1],c="getChannel(getA("+o.join()+"), "+l+")";this.userCode=`
|
|
void main() {
|
|
`+a+` rc = getOutputCoords();
|
|
vec4 result = vec4(0.);
|
|
result[0] = `+c+`;
|
|
if(`+u+`) {
|
|
result[1] = `+c+`;
|
|
}
|
|
--`+s[this.rank-1]+`;
|
|
if(++`+s[this.rank-2]+" < "+i[this.rank-2]+`) {
|
|
result[2] = `+c+`;
|
|
if(`+u+`) {
|
|
result[3] = `+c+`;
|
|
}
|
|
}
|
|
setOutput(result);
|
|
}
|
|
`}return n}();function $S(n,t,e){var i=N.env().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new k6(n.shape,t):new D6(n.shape,t);return e.runWebGLProgram(i,[n],n.dtype)}var F6={kernelName:N.Max,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e,s=a.reductionIndices,o=a.keepDims,l=i,u=r.shape.length,c=N.util.parseAxisParam(s,r.shape),h=c,d=N.backend_util.getAxesPermutation(h,u),p=d!=null,f=l.shouldExecuteOnCPU([r]),m=r;if(p){if(f){for(var g=l.texData.get(m.dataId),v=g.values,b=new Array(u),w=0;w<b.length;w++)b[w]=r.shape[d[w]];var S=H0(v,r.shape,r.dtype,d,b);m=l.makeTensorInfo(b,r.dtype);var L=l.texData.get(m.dataId);L.values=S}else m=$S(r,d,l);h=N.backend_util.getInnerMostAxes(h.length,u)}N.backend_util.assertAxesAreInnerMostDims("max",h,u);var x=N.backend_util.computeOutAndReduceShapes(m.shape,h),C=x[0],R=x[1],D=C;o&&(D=N.backend_util.expandShapeToKeepDim(C,c));var k;if(f){var g=l.texData.get(m.dataId),v=g.values,W=R_(v,N.util.sizeFromShape(R),D,r.dtype);k=l.makeTensorInfo(D,r.dtype);var F=l.texData.get(k.dataId);F.values=W}else k=O6(m,R,D,l);return p&&l.disposeIntermediateTensorInfo(m),k}};function W6(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.x;Jr(r,"maxPool");var a=i.filterSize,s=i.strides,o=i.pad,l=i.dimRoundingMode,u=1;N.util.assert(N.backend_util.eitherStridesOrDilationsAreOne(s,u),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+s+" and dilations '"+u+"'")});var c=N.backend_util.computePool2DInfo(r.shape,a,s,u,o,l);if(c.filterWidth===1&&c.filterHeight===1&&N.util.arraysEqual(c.inShape,c.outShape))return Yd({inputs:{x:r},backend:e});var h=new as(c,"max",!1);return e.runWebGLProgram(h,[r],r.dtype)}var U6={kernelName:N.MaxPool,backendName:"webgl",kernelFunc:W6};function B6(n){var t=n.inputs,e=n.backend,i=n.attrs,r=t.dy,a=t.input,s=t.output,o=a;Jr([a,s],"maxPoolBackprop");var l=i.filterSize,u=i.strides,c=i.pad,h=i.dimRoundingMode,d=N.backend_util.computePool2DInfo(o.shape,l,u,1,c,h),p=!0,f=new as(d,"max",p),m=e.runWebGLProgram(f,[o],o.dtype),g=new D5(d),v=e.runWebGLProgram(g,[r,m],o.dtype);return e.disposeIntermediateTensorInfo(m),v}var z6={kernelName:N.MaxPoolBackprop,backendName:"webgl",kernelFunc:B6};function P6(n,t,e,i){var r=new as(e,"max",!1),a=i.runWebGLProgram(r,[n],"float32");r=new as(e,"max",!0,!0,t);var s=i.runWebGLProgram(r,[n],"float32");return[a,s]}var _6={kernelName:N.MaxPoolWithArgmax,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e,s=a.filterSize,o=a.strides,l=a.pad,u=a.includeBatchInIndex,c=i;N.util.assert(r.shape.length===4,function(){return"Error in maxPool: input must be rank 4 but got rank "+r.shape.length+"."});var h=[1,1];N.util.assert(N.backend_util.eitherStridesOrDilationsAreOne(o,h),function(){return"Error in maxPool: Either strides or dilations must be 1. "+("Got strides "+o+" and dilations '"+h+"'")});var d=N.backend_util.computePool2DInfo(r.shape,s,o,h,l),p=P6(r,u,d,c),f=p[0],m=p[1];return[f,m]}};var M6={kernelName:N.NonMaxSuppressionV3,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs;N.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var r=t,a=r.boxes,s=r.scores,o=i,l=o.maxOutputSize,u=o.iouThreshold,c=o.scoreThreshold,h=e,d=h.readSync(a.dataId),p=h.readSync(s.dataId),f=l,m=u,g=c;return N.kernel_impls.nonMaxSuppressionV3Impl(d,p,f,m,g)}};var H6=N.kernel_impls.nonMaxSuppressionV4Impl,V6={kernelName:N.NonMaxSuppressionV4,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs;N.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var r=t,a=r.boxes,s=r.scores,o=i,l=o.maxOutputSize,u=o.iouThreshold,c=o.scoreThreshold,h=o.padToMaxOutputSize,d=e,p=d.readSync(a.dataId),f=d.readSync(s.dataId),m=H6(p,f,l,u,c,h),g=m.selectedIndices,v=m.validOutputs;return[g,v]}};var q6=N.kernel_impls.nonMaxSuppressionV5Impl,G6={kernelName:N.NonMaxSuppressionV5,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.backend,i=n.attrs;N.backend_util.warn("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var r=t,a=r.boxes,s=r.scores,o=i,l=o.maxOutputSize,u=o.iouThreshold,c=o.scoreThreshold,h=o.softNmsSigma,d=e,p=d.readSync(a.dataId),f=d.readSync(s.dataId),m=l,g=u,v=c,b=h,w=q6(p,f,m,g,v,b),S=w.selectedIndices,L=w.selectedScores;return[S,L]}};var Y6=function(){function n(t,e,i,r){this.variableNames=["Image"],this.outputShape=[];var a=t[1],s=t[2],o=Math.sin(e).toFixed(3),l=Math.cos(e).toFixed(3);this.outputShape=t;var u=N.backend_util.getImageCenter(r,a,s),c=u[0],h=u[1],d=c.toFixed(3),p=h.toFixed(3),f="";typeof i=="number"?f="float outputValue = "+i.toFixed(2)+";":f=`
|
|
vec3 fill = vec3(`+i.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) - `+d+") * "+l+" - (float(y) - "+p+") * "+o+`;
|
|
float coordYFloat = (float(x) - `+d+") * "+o+" + (float(y) - "+p+") * "+l+`;
|
|
int coordX = int(round(coordXFloat + `+d+`));
|
|
int coordY = int(round(coordYFloat + `+p+`));
|
|
`+f+`
|
|
if(coordX >= 0 && coordX < `+s+" && coordY >= 0 && coordY < "+a+`) {
|
|
outputValue = getImage(coords[0], coordY, coordX, coords[3]);
|
|
}
|
|
setOutput(outputValue);
|
|
}
|
|
`}return n}();var K6={kernelName:N.RotateWithOffset,backendName:"webgl",kernelFunc:function(n){var t=n.inputs,e=n.attrs,i=n.backend,r=t.image,a=e,s=a.radians,o=a.fillValue,l=a.center,u=i,c=new Y6(r.shape,s,o,l),h=u.runWebGLProgram(c,[r],r.dtype);return h}};var j6=jS+`
|
|
return sin(x);
|
|
`,$6=Yo(j6),X6={kernelName:N.Sin,backendName:"webgl",kernelFunc:$6};var J6="return x * x;",Z6=Yo(J6),Q6={kernelName:N.Square,backendName:"webgl",kernelFunc:Z6};var XS="return (a - b) * (a - b);",e8=Gd(XS,XS),t8={kernelName:N.SquaredDifference,backendName:"webgl",kernelFunc:e8};var n8="return tan(x);",i8=Yo(n8),r8={kernelName:N.Tan,backendName:"webgl",kernelFunc:i8};var a8={kernelName:N.Transpose,backendName:"webgl",kernelFunc:function(n){for(var t=n.inputs,e=n.attrs,i=n.backend,r=t.x,a=e.perm,s=i,o=r.shape.length,l=new Array(o),u=0;u<l.length;u++)l[u]=r.shape[a[u]];var c;if(s.shouldExecuteOnCPU([r])){var h=s.texData.get(r.dataId),d=h.values,p=H0(d,r.shape,r.dtype,a,l);c=s.makeTensorInfo(l,r.dtype);var f=s.texData.get(c.dataId);f.values=p}else c=$S(r,a,s);return c}};function s8(n){var t=n.inputs,e=n.attrs,i=n.backend,r=e.axis,a=t.x;Jr(a,"unique"),console.warn("WARNING: ","UI might be locked temporarily as data is being downloaded");var s=i.readSync(a.dataId),o=F_(s,r,a.shape,a.dtype),l=o.outputValues,u=o.outputShape,c=o.indices;return[i.makeTensorInfo(u,a.dtype,l),i.makeTensorInfo([c.length],"int32",c)]}var o8={kernelName:N.Unique,backendName:"webgl",kernelFunc:s8};var l8=[i6,s6,l6,d6,m6,b6,S6,T6,r6,F6,U6,z6,_6,M6,V6,G6,R6,K6,X6,Q6,t8,r8,a8,o8];for(var jd=0,JS=l8;jd<JS.length;jd++){var u8=JS[jd];N.registerKernel(u8)}Fn.GPGPUContext=AS;Fn.MathBackendWebGL=YS;Fn.forceHalfFloat=KS;Fn.gpgpu_util=I5;Fn.setWebGLContext=v0;Fn.version_webgl=X9;Fn.webgl=J9;Fn.webgl_util=o_});var kt=ge(ur=>{"use strict";Object.defineProperty(ur,"__esModule",{value:!0});var $d=Gi(),Xd=Yb(),Jd=ow(),QS=Rw(),c8=g0(),h8=ZS();var d8="2.6.0";var p8={"tfjs-core":$d.version_core,"tfjs-backend-cpu":c8.version_cpu,"tfjs-backend-webgl":h8.version_webgl,"tfjs-data":QS.version_data,"tfjs-layers":Xd.version_layers,"tfjs-converter":Jd.version_converter,tfjs:d8};Object.keys($d).forEach(function(n){n!=="default"&&Object.defineProperty(ur,n,{enumerable:!0,get:function(){return $d[n]}})});Object.keys(Xd).forEach(function(n){n!=="default"&&Object.defineProperty(ur,n,{enumerable:!0,get:function(){return Xd[n]}})});Object.keys(Jd).forEach(function(n){n!=="default"&&Object.defineProperty(ur,n,{enumerable:!0,get:function(){return Jd[n]}})});ur.data=QS;ur.version=p8});var aL=ge(Ko=>{const ze=kt(),f8={strides:[8,16],anchors:[2,6]},eL=6;function m8(n,t,e){const i=[];for(let r=0;r<e.strides.length;r++){const a=e.strides[r],s=Math.floor((t+a-1)/a),o=Math.floor((n+a-1)/a),l=e.anchors[r];for(let u=0;u<s;u++){const c=a*(u+.5);for(let h=0;h<o;h++){const d=a*(h+.5);for(let p=0;p<l;p++)i.push([d,c])}}}return i}const tL=n=>{n.startEndTensor.dispose(),n.startPoint.dispose(),n.endPoint.dispose()},nL=n=>({startEndTensor:n,startPoint:ze.slice(n,[0,0],[-1,2]),endPoint:ze.slice(n,[0,2],[-1,2])}),g8=(n,t)=>{const e=ze.mul(n.startPoint,t),i=ze.mul(n.endPoint,t),r=ze.concat2d([e,i],1);return nL(r)};function v8(n,t,e){const i=ze.slice(n,[0,1],[-1,2]),r=ze.add(i,t),a=ze.slice(n,[0,3],[-1,2]),s=ze.div(a,e),o=ze.div(r,e),l=ze.div(s,2),u=ze.sub(o,l),c=ze.add(o,l),h=ze.mul(u,e),d=ze.mul(c,e),p=1;return ze.concat2d([h,d],p)}function iL(n,t){return ze.tidy(()=>{const e=n.box?n.box:n;return g8(e,t).startEndTensor.squeeze()})}class rL{constructor(n,t){this.blazeFaceModel=n,this.width=t.detector.inputSize,this.height=t.detector.inputSize,this.maxFaces=t.detector.maxFaces,this.anchorsData=m8(t.detector.inputSize,t.detector.inputSize,f8),this.anchors=ze.tensor2d(this.anchorsData),this.inputSizeData=[t.detector.inputSize,t.detector.inputSize],this.inputSize=ze.tensor1d([t.detector.inputSize,t.detector.inputSize]),this.iouThreshold=t.detector.iouThreshold,this.scoreThreshold=t.detector.scoreThreshold}async getBoundingBoxes(n){const[t,e,i]=ze.tidy(()=>{const l=n.resizeBilinear([this.width,this.height]),u=ze.mul(ze.sub(l.div(255),.5),2),c=this.blazeFaceModel.predict(u),h=c.squeeze(),d=v8(h,this.anchors,this.inputSize),p=ze.slice(h,[0,0],[-1,1]),f=ze.sigmoid(p).squeeze();return[h,d,f]}),r=await ze.image.nonMaxSuppressionAsync(e,i,this.maxFaces,this.iouThreshold,this.scoreThreshold),a=await r.array();r.dispose();let s=a.map(l=>ze.slice(e,[l,0],[1,-1]));s=await Promise.all(s.map(async l=>{const u=await l.array();return l.dispose(),u}));const o=[];for(let l=0;l<s.length;l++){const u=s[l],c=ze.tidy(()=>{const h=nL(u),d=a[l],p=this.anchorsData[d],f=ze.slice(t,[d,eL-1],[1,-1]).squeeze().reshape([eL,-1]),m=ze.slice(i,[d],[1]);return{box:h,landmarks:f,probability:m,anchor:p}});o.push(c)}return e.dispose(),i.dispose(),t.dispose(),{boxes:o,scaleFactor:[n.shape[2]/this.inputSizeData[0],n.shape[1]/this.inputSizeData[1]]}}async estimateFaces(n,t=!1,e=!0){const i=ze.tidy(()=>(n instanceof ze.Tensor||(n=ze.browser.fromPixels(n)),n.toFloat().expandDims(0))),{boxes:r,scaleFactor:a}=await this.getBoundingBoxes(i);return i.dispose(),t?r.map(s=>{const o=iL(s,a),l={topLeft:o.slice([0],[2]),bottomRight:o.slice([2],[2])};if(e){const{landmarks:u,probability:c,anchor:h}=s,d=u.add(h).mul(a);l.landmarks=d,l.probability=c}return l}):Promise.all(r.map(async s=>{const o=iL(s,a);let l;if(e){const[u,c,h]=await Promise.all([s.landmarks,o,s.probability].map(async g=>g.array())),d=s.anchor,[p,f]=a,m=u.map(g=>[(g[0]+d[0])*p,(g[1]+d[1])*f]);l={topLeft:c.slice(0,2),bottomRight:c.slice(2),landmarks:m,probability:h},tL(s.box),s.landmarks.dispose(),s.probability.dispose()}else{const u=await o.array();l={topLeft:u.slice(0,2),bottomRight:u.slice(2)}}return o.dispose(),l}))}}async function y8(n){const t=await ze.loadGraphModel(n.detector.modelPath,{fromTFHub:n.detector.modelPath.includes("tfhub.dev")}),e=new rL(t,n);return e}Ko.load=y8;Ko.BlazeFaceModel=rL;Ko.disposeBox=tL});var Zd=ge(sL=>{sL.MESH_ANNOTATIONS={silhouette:[10,338,297,332,284,251,389,356,454,323,361,288,397,365,379,378,400,377,152,148,176,149,150,136,172,58,132,93,234,127,162,21,54,103,67,109],lipsUpperOuter:[61,185,40,39,37,0,267,269,270,409,291],lipsLowerOuter:[146,91,181,84,17,314,405,321,375,291],lipsUpperInner:[78,191,80,81,82,13,312,311,310,415,308],lipsLowerInner:[78,95,88,178,87,14,317,402,318,324,308],rightEyeUpper0:[246,161,160,159,158,157,173],rightEyeLower0:[33,7,163,144,145,153,154,155,133],rightEyeUpper1:[247,30,29,27,28,56,190],rightEyeLower1:[130,25,110,24,23,22,26,112,243],rightEyeUpper2:[113,225,224,223,222,221,189],rightEyeLower2:[226,31,228,229,230,231,232,233,244],rightEyeLower3:[143,111,117,118,119,120,121,128,245],rightEyebrowUpper:[156,70,63,105,66,107,55,193],rightEyebrowLower:[35,124,46,53,52,65],rightEyeIris:[473,474,475,476,477],leftEyeUpper0:[466,388,387,386,385,384,398],leftEyeLower0:[263,249,390,373,374,380,381,382,362],leftEyeUpper1:[467,260,259,257,258,286,414],leftEyeLower1:[359,255,339,254,253,252,256,341,463],leftEyeUpper2:[342,445,444,443,442,441,413],leftEyeLower2:[446,261,448,449,450,451,452,453,464],leftEyeLower3:[372,340,346,347,348,349,350,357,465],leftEyebrowUpper:[383,300,293,334,296,336,285,417],leftEyebrowLower:[265,353,276,283,282,295],leftEyeIris:[468,469,470,471,472],midwayBetweenEyes:[168],noseTip:[1],noseBottom:[2],noseRightCorner:[98],noseLeftCorner:[327],rightCheek:[205],leftCheek:[425]}});var oL=ge(cr=>{const b8=kt();function w8(n,t){const e=[n.startPoint[0]*t[0],n.startPoint[1]*t[1]],i=[n.endPoint[0]*t[0],n.endPoint[1]*t[1]];return{startPoint:e,endPoint:i}}cr.scaleBoxCoordinates=w8;function Qd(n){return[Math.abs(n.endPoint[0]-n.startPoint[0]),Math.abs(n.endPoint[1]-n.startPoint[1])]}cr.getBoxSize=Qd;function ep(n){return[n.startPoint[0]+(n.endPoint[0]-n.startPoint[0])/2,n.startPoint[1]+(n.endPoint[1]-n.startPoint[1])/2]}cr.getBoxCenter=ep;function S8(n,t,e){const i=t.shape[1],r=t.shape[2],a=[[n.startPoint[1]/i,n.startPoint[0]/r,n.endPoint[1]/i,n.endPoint[0]/r]];return b8.image.cropAndResize(t,a,[0],e)}cr.cutBoxFromImageAndResize=S8;function L8(n,t=1.5){const e=ep(n),i=Qd(n),r=[t*i[0]/2,t*i[1]/2],a=[e[0]-r[0],e[1]-r[1]],s=[e[0]+r[0],e[1]+r[1]];return{startPoint:a,endPoint:s,landmarks:n.landmarks}}cr.enlargeBox=L8;function I8(n){const t=ep(n),e=Qd(n),i=Math.max(...e),r=i/2,a=[t[0]-r,t[1]-r],s=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:s,landmarks:n.landmarks}}cr.squarifyBox=I8});var dL=ge(wn=>{wn.IDENTITY_MATRIX=[[1,0,0],[0,1,0],[0,0,1]];function lL(n){return n-2*Math.PI*Math.floor((n+Math.PI)/(2*Math.PI))}wn.normalizeRadians=lL;function A8(n,t){const e=Math.PI/2-Math.atan2(-(t[1]-n[1]),t[0]-n[0]);return lL(e)}wn.computeRotation=A8;function T8(n){return n*180/Math.PI}wn.radToDegrees=T8;function uL(n,t){return[[1,0,n],[0,1,t],[0,0,1]]}function ra(n,t){let e=0;for(let i=0;i<n.length;i++)e+=n[i]*t[i];return e}wn.dot=ra;function cL(n,t){const e=[];for(let i=0;i<n.length;i++)e.push(n[i][t]);return e}wn.getColumnFrom2DArr=cL;function hL(n,t){const e=[],i=n.length;for(let r=0;r<i;r++){e.push([]);for(let a=0;a<i;a++)e[r].push(ra(n[r],cL(t,a)))}return e}function N8(n,t){const e=Math.cos(n),i=Math.sin(n),r=[[e,-i,0],[i,e,0],[0,0,1]],a=uL(t[0],t[1]),s=hL(a,r),o=uL(-t[0],-t[1]);return hL(s,o)}wn.buildRotationMatrix=N8;function x8(n){const t=[[n[0][0],n[1][0]],[n[0][1],n[1][1]]],e=[n[0][2],n[1][2]],i=[-ra(t[0],e),-ra(t[1],e)];return[t[0].concat(i[0]),t[1].concat(i[1]),[0,0,1]]}wn.invertTransformMatrix=x8;function C8(n,t){return[ra(n,t[0]),ra(n,t[1])]}wn.rotatePoint=C8;function R8(n,t){return Math.sqrt((n[0]-t[0])**2+(n[1]-t[1])**2)}wn.xyDistanceBetweenPoints=R8});var mL=ge(pL=>{const Ii=kt(),Un=oL(),aa=Zd(),Ai=dL(),O8=468,E8=.25,D8=13,k8=[D8,aa.MESH_ANNOTATIONS.midwayBetweenEyes[0]],F8=3,W8=2,U8=[F8,W8],tp=aa.MESH_ANNOTATIONS.leftEyeLower0,np=[tp[0],tp[tp.length-1]],ip=aa.MESH_ANNOTATIONS.rightEyeLower0,rp=[ip[0],ip[ip.length-1]],B8=3,z8=4,P8=71,ap=76,_8=2.3,os=64,fL=[{key:"EyeUpper0",indices:[9,10,11,12,13,14,15]},{key:"EyeUpper1",indices:[25,26,27,28,29,30,31]},{key:"EyeUpper2",indices:[41,42,43,44,45,46,47]},{key:"EyeLower0",indices:[0,1,2,3,4,5,6,7,8]},{key:"EyeLower1",indices:[16,17,18,19,20,21,22,23,24]},{key:"EyeLower2",indices:[32,33,34,35,36,37,38,39,40]},{key:"EyeLower3",indices:[54,55,56,57,58,59,60,61,62]},{key:"EyebrowUpper",indices:[63,64,65,66,67,68,69,70]},{key:"EyebrowLower",indices:[48,49,50,51,52,53]}];function jo(n,t,e,i){for(let r=0;r<fL.length;r++){const{key:a,indices:s}=fL[r],o=aa.MESH_ANNOTATIONS[`${e}${a}`],l=i==null;if(l||i.includes(a))for(let u=0;u<s.length;u++){const c=s[u];n[o[u]]=[t[c][0],t[c][1],(t[c][2]+n[o[u]][2])/2]}}}class M8{constructor(n,t,e,i){this.regionsOfInterest=[],this.runsWithoutFaceDetector=0,this.boundingBoxDetector=n,this.meshDetector=t,this.irisModel=e,this.meshWidth=i.mesh.inputSize,this.meshHeight=i.mesh.inputSize,this.skipFrames=i.detector.skipFrames,this.maxFaces=i.detector.maxFaces}transformRawCoords(n,t,e,i){const r=Un.getBoxSize({startPoint:t.startPoint,endPoint:t.endPoint}),a=[r[0]/this.meshWidth,r[1]/this.meshHeight],s=n.map(d=>[a[0]*(d[0]-this.meshWidth/2),a[1]*(d[1]-this.meshHeight/2),d[2]]),o=Ai.buildRotationMatrix(e,[0,0]),l=s.map(d=>[...Ai.rotatePoint(d,o),d[2]]),u=Ai.invertTransformMatrix(i),c=[...Un.getBoxCenter({startPoint:t.startPoint,endPoint:t.endPoint}),1],h=[Ai.dot(c,u[0]),Ai.dot(c,u[1])];return l.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}getLeftToRightEyeDepthDifference(n){const t=n[np[0]][2],e=n[rp[0]][2];return t-e}getEyeBox(n,t,e,i,r=!1){const a=Un.squarifyBox(Un.enlargeBox(this.calculateLandmarksBoundingBox([n[e],n[i]]),_8)),s=Un.getBoxSize(a);let o=Ii.image.cropAndResize(t,[[a.startPoint[1]/this.meshHeight,a.startPoint[0]/this.meshWidth,a.endPoint[1]/this.meshHeight,a.endPoint[0]/this.meshWidth]],[0],[os,os]);return r&&(o=Ii.image.flipLeftRight(o)),{box:a,boxSize:s,crop:o}}getEyeCoords(n,t,e,i=!1){const r=[];for(let a=0;a<ap;a++){const s=n[a*3],o=n[a*3+1],l=n[a*3+2];r.push([(i?1-s/os:s/os)*e[0]+t.startPoint[0],o/os*e[1]+t.startPoint[1],l])}return{rawCoords:r,iris:r.slice(P8)}}getAdjustedIrisCoords(n,t,e){const i=n[aa.MESH_ANNOTATIONS[`${e}EyeUpper0`][B8]][2],r=n[aa.MESH_ANNOTATIONS[`${e}EyeLower0`][z8]][2],a=(i+r)/2;return t.map((s,o)=>{let l=a;return o===2?l=i:o===4&&(l=r),[s[0],s[1],l]})}async predict(n,t,e){if(this.shouldUpdateRegionsOfInterest()){const{boxes:r,scaleFactor:a}=await this.boundingBoxDetector.getBoundingBoxes(n);if(r.length===0)return this.regionsOfInterest=[],null;const s=r.map(o=>{const l={startPoint:o.box.startPoint.squeeze().arraySync(),endPoint:o.box.endPoint.squeeze().arraySync()};o.box.startPoint.dispose(),o.box.endPoint.dispose();const u=Un.scaleBoxCoordinates(l,a),c=Un.enlargeBox(u),h=o.landmarks.arraySync();return o.landmarks.dispose(),o.probability.dispose(),{...c,landmarks:h}});this.updateRegionsOfInterest(s),this.runsWithoutFaceDetector=0}else this.runsWithoutFaceDetector++;const i=Ii.tidy(()=>this.regionsOfInterest.map((r,a)=>{let s=0;const o=r.landmarks.length>=O8;let[l,u]=k8;o===!1&&([l,u]=U8),s=Ai.computeRotation(r.landmarks[l],r.landmarks[u]);const c=Un.getBoxCenter({startPoint:r.startPoint,endPoint:r.endPoint}),h=[c[0]/n.shape[2],c[1]/n.shape[1]];let d=n,p=Ai.IDENTITY_MATRIX;s!==0&&(d=Ii.image.rotateWithOffset(n,s,0,h),p=Ai.buildRotationMatrix(-s,c));const f={startPoint:r.startPoint,endPoint:r.endPoint},m=Un.cutBoxFromImageAndResize(f,d,[this.meshHeight,this.meshWidth]).div(255),[,g,v]=this.meshDetector.predict(m),b=Ii.reshape(v,[-1,3]);let w=b.arraySync();if(t){const{box:C,boxSize:R,crop:D}=this.getEyeBox(w,m,np[0],np[1],!0),{box:k,boxSize:W,crop:F}=this.getEyeBox(w,m,rp[0],rp[1]),P=this.irisModel.predict(Ii.concat([D,F])),H=P.dataSync();P.dispose();const _=H.slice(0,ap*3),{rawCoords:K,iris:j}=this.getEyeCoords(_,C,R,!0),q=H.slice(ap*3),{rawCoords:G,iris:Z}=this.getEyeCoords(q,k,W),X=this.getLeftToRightEyeDepthDifference(w);Math.abs(X)<30?(jo(w,K,"left"),jo(w,G,"right")):X<1?jo(w,K,"left",["EyeUpper0","EyeLower0"]):jo(w,G,"right",["EyeUpper0","EyeLower0"]);const ee=this.getAdjustedIrisCoords(w,j,"left"),ne=this.getAdjustedIrisCoords(w,Z,"right");w=w.concat(ee).concat(ne)}const S=this.transformRawCoords(w,r,s,p);Ii.dispose(w);const L=Un.enlargeBox(this.calculateLandmarksBoundingBox(S));if(e){const C=Ii.tensor2d(S);this.regionsOfInterest[a]={...L,landmarks:C.arraySync()};const R={coords:C,box:L,confidence:g.squeeze(),image:m};return R}const x={coords:null,box:L,confidence:g.squeeze(),image:m};return x}));return i}updateRegionsOfInterest(n){for(let t=0;t<n.length;t++){const e=n[t],i=this.regionsOfInterest[t];let r=0;if(i&&i.startPoint){const[a,s]=e.startPoint,[o,l]=e.endPoint,[u,c]=i.startPoint,[h,d]=i.endPoint,p=Math.max(a,u),f=Math.max(s,c),m=Math.min(o,h),g=Math.min(l,d),v=(m-p)*(g-f),b=(o-a)*(l-s),w=(h-u)*(d-s);r=v/(b+w-v)}r<E8&&(this.regionsOfInterest[t]=e)}this.regionsOfInterest=this.regionsOfInterest.slice(0,n.length)}clearRegionOfInterest(n){this.regionsOfInterest[n]!=null&&(this.regionsOfInterest=[...this.regionsOfInterest.slice(0,n),...this.regionsOfInterest.slice(n+1)])}shouldUpdateRegionsOfInterest(){const n=this.regionsOfInterest.length,t=n===0;return this.maxFaces===1||t?t:n!==this.maxFaces&&this.runsWithoutFaceDetector>=this.skipFrames}calculateLandmarksBoundingBox(n){const t=n.map(a=>a[0]),e=n.map(a=>a[1]),i=[Math.min(...t),Math.min(...e)],r=[Math.max(...t),Math.max(...e)];return{startPoint:i,endPoint:r}}}pL.Pipeline=M8});var vL=ge(gL=>{gL.UV_COORDS=[[.499976992607117,.652534008026123],[.500025987625122,.547487020492554],[.499974012374878,.602371990680695],[.482113003730774,.471979022026062],[.500150978565216,.527155995368958],[.499909996986389,.498252987861633],[.499523013830185,.40106201171875],[.289712011814117,.380764007568359],[.499954998493195,.312398016452789],[.499987006187439,.269918978214264],[.500023007392883,.107050001621246],[.500023007392883,.666234016418457],[.5000159740448,.679224014282227],[.500023007392883,.692348003387451],[.499976992607117,.695277988910675],[.499976992607117,.70593398809433],[.499976992607117,.719385027885437],[.499976992607117,.737019002437592],[.499967992305756,.781370997428894],[.499816000461578,.562981009483337],[.473773002624512,.573909997940063],[.104906998574734,.254140973091125],[.365929991006851,.409575998783112],[.338757991790771,.41302502155304],[.311120003461838,.409460008144379],[.274657994508743,.389131009578705],[.393361985683441,.403706014156342],[.345234006643295,.344011008739471],[.370094001293182,.346076011657715],[.319321990013123,.347265005111694],[.297903001308441,.353591024875641],[.24779200553894,.410809993743896],[.396889001131058,.842755019664764],[.280097991228104,.375599980354309],[.106310002505779,.399955987930298],[.2099249958992,.391353011131287],[.355807989835739,.534406006336212],[.471751004457474,.65040397644043],[.474155008792877,.680191993713379],[.439785003662109,.657229006290436],[.414617002010345,.66654098033905],[.450374007225037,.680860996246338],[.428770989179611,.682690978050232],[.374971002340317,.727805018424988],[.486716985702515,.547628998756409],[.485300987958908,.527395009994507],[.257764995098114,.314490020275116],[.401223003864288,.455172002315521],[.429818987846375,.548614978790283],[.421351999044418,.533740997314453],[.276895999908447,.532056987285614],[.483370006084442,.499586999416351],[.33721199631691,.282882988452911],[.296391993761063,.293242990970612],[.169294998049736,.193813979625702],[.447580009698868,.302609980106354],[.392390012741089,.353887975215912],[.354490011930466,.696784019470215],[.067304998636246,.730105042457581],[.442739009857178,.572826027870178],[.457098007202148,.584792017936707],[.381974011659622,.694710969924927],[.392388999462128,.694203019142151],[.277076005935669,.271932005882263],[.422551989555359,.563233017921448],[.385919004678726,.281364023685455],[.383103013038635,.255840003490448],[.331431001424789,.119714021682739],[.229923993349075,.232002973556519],[.364500999450684,.189113974571228],[.229622006416321,.299540996551514],[.173287004232407,.278747975826263],[.472878992557526,.666198015213013],[.446828007698059,.668527007102966],[.422762006521225,.673889994621277],[.445307999849319,.580065965652466],[.388103008270264,.693961024284363],[.403039008378983,.706539988517761],[.403629004955292,.693953037261963],[.460041999816895,.557139039039612],[.431158006191254,.692366003990173],[.452181994915009,.692366003990173],[.475387006998062,.692366003990173],[.465828001499176,.779190003871918],[.472328990697861,.736225962638855],[.473087012767792,.717857003211975],[.473122000694275,.704625964164734],[.473033010959625,.695277988910675],[.427942007780075,.695277988910675],[.426479011774063,.703539967536926],[.423162013292313,.711845993995667],[.4183090031147,.720062971115112],[.390094995498657,.639572978019714],[.013953999616206,.560034036636353],[.499913990497589,.58014702796936],[.413199990987778,.69539999961853],[.409626007080078,.701822996139526],[.468080013990402,.601534962654114],[.422728985548019,.585985004901886],[.463079988956451,.593783974647522],[.37211999297142,.47341400384903],[.334562003612518,.496073007583618],[.411671012639999,.546965003013611],[.242175996303558,.14767599105835],[.290776997804642,.201445996761322],[.327338010072708,.256527006626129],[.399509996175766,.748921036720276],[.441727995872498,.261676013469696],[.429764986038208,.187834024429321],[.412198007106781,.108901023864746],[.288955003023148,.398952007293701],[.218936994671822,.435410976409912],[.41278201341629,.398970007896423],[.257135003805161,.355440020561218],[.427684992551804,.437960982322693],[.448339998722076,.536936044692993],[.178560003638268,.45755398273468],[.247308000922203,.457193970680237],[.286267012357712,.467674970626831],[.332827985286713,.460712015628815],[.368755996227264,.447206974029541],[.398963987827301,.432654976844788],[.476410001516342,.405806005001068],[.189241006970406,.523923993110657],[.228962004184723,.348950982093811],[.490725994110107,.562400996685028],[.404670000076294,.485132992267609],[.019469000399113,.401564002037048],[.426243007183075,.420431017875671],[.396993011236191,.548797011375427],[.266469985246658,.376977026462555],[.439121007919312,.51895797252655],[.032313998788595,.644356966018677],[.419054001569748,.387154996395111],[.462783008813858,.505746960639954],[.238978996872902,.779744982719421],[.198220998048782,.831938028335571],[.107550002634525,.540755033493042],[.183610007166862,.740257024765015],[.134409993886948,.333683013916016],[.385764002799988,.883153975009918],[.490967005491257,.579378008842468],[.382384985685349,.508572995662689],[.174399003386497,.397670984268188],[.318785011768341,.39623498916626],[.343364000320435,.400596976280212],[.396100014448166,.710216999053955],[.187885001301765,.588537991046906],[.430987000465393,.944064974784851],[.318993002176285,.898285031318665],[.266247987747192,.869701027870178],[.500023007392883,.190576016902924],[.499976992607117,.954452991485596],[.366169989109039,.398822009563446],[.393207013607025,.39553701877594],[.410373002290726,.391080021858215],[.194993004202843,.342101991176605],[.388664990663528,.362284004688263],[.365961998701096,.355970978736877],[.343364000320435,.355356991291046],[.318785011768341,.35834002494812],[.301414996385574,.363156020641327],[.058132998645306,.319076001644135],[.301414996385574,.387449026107788],[.499987989664078,.618434011936188],[.415838003158569,.624195992946625],[.445681989192963,.566076993942261],[.465844005346298,.620640993118286],[.49992299079895,.351523995399475],[.288718998432159,.819945991039276],[.335278987884521,.852819979190826],[.440512001514435,.902418971061707],[.128294005990028,.791940987110138],[.408771991729736,.373893976211548],[.455606997013092,.451801002025604],[.499877005815506,.908990025520325],[.375436991453171,.924192011356354],[.11421000212431,.615022003650665],[.448662012815475,.695277988910675],[.4480200111866,.704632043838501],[.447111994028091,.715808033943176],[.444831997156143,.730794012546539],[.430011987686157,.766808986663818],[.406787008047104,.685672998428345],[.400738000869751,.681069016456604],[.392399996519089,.677703022956848],[.367855995893478,.663918972015381],[.247923001646996,.601333022117615],[.452769994735718,.420849978923798],[.43639200925827,.359887003898621],[.416164010763168,.368713974952698],[.413385987281799,.692366003990173],[.228018000721931,.683571994304657],[.468268007040024,.352671027183533],[.411361992359161,.804327011108398],[.499989002943039,.469825029373169],[.479153990745544,.442654013633728],[.499974012374878,.439637005329132],[.432112008333206,.493588984012604],[.499886006116867,.866917014122009],[.49991300702095,.821729004383087],[.456548988819122,.819200992584229],[.344549000263214,.745438992977142],[.37890899181366,.574010014533997],[.374292999505997,.780184984207153],[.319687992334366,.570737957954407],[.357154995203018,.604269981384277],[.295284003019333,.621580958366394],[.447750002145767,.862477004528046],[.410986006259918,.508723020553589],[.31395098567009,.775308012962341],[.354128003120422,.812552988529205],[.324548006057739,.703992962837219],[.189096003770828,.646299958229065],[.279776990413666,.71465802192688],[.1338230073452,.682700991630554],[.336768001317978,.644733011722565],[.429883986711502,.466521978378296],[.455527991056442,.548622965812683],[.437114000320435,.558896005153656],[.467287987470627,.529924988746643],[.414712011814117,.335219979286194],[.37704598903656,.322777986526489],[.344107985496521,.320150971412659],[.312875986099243,.32233202457428],[.283526003360748,.333190023899078],[.241245999932289,.382785975933075],[.102986000478268,.468762993812561],[.267612010240555,.424560010433197],[.297879010438919,.433175981044769],[.333433985710144,.433878004550934],[.366427004337311,.426115989685059],[.396012008190155,.416696012020111],[.420121014118195,.41022801399231],[.007561000064015,.480777025222778],[.432949006557465,.569517970085144],[.458638995885849,.479089021682739],[.473466008901596,.545744001865387],[.476087987422943,.563830018043518],[.468472003936768,.555056989192963],[.433990985155106,.582361996173859],[.483518004417419,.562983989715576],[.482482999563217,.57784903049469],[.42645001411438,.389798998832703],[.438998997211456,.39649498462677],[.450067013502121,.400434017181396],[.289712011814117,.368252992630005],[.276670008897781,.363372981548309],[.517862021923065,.471948027610779],[.710287988185883,.380764007568359],[.526226997375488,.573909997940063],[.895093023777008,.254140973091125],[.634069979190826,.409575998783112],[.661242008209229,.41302502155304],[.688880026340485,.409460008144379],[.725341975688934,.389131009578705],[.606630027294159,.40370500087738],[.654766023159027,.344011008739471],[.629905998706818,.346076011657715],[.680678009986877,.347265005111694],[.702096998691559,.353591024875641],[.75221198797226,.410804986953735],[.602918028831482,.842862963676453],[.719901978969574,.375599980354309],[.893692970275879,.399959981441498],[.790081977844238,.391354024410248],[.643998026847839,.534487962722778],[.528249025344849,.65040397644043],[.525849997997284,.680191040039062],[.560214996337891,.657229006290436],[.585384011268616,.66654098033905],[.549625992774963,.680860996246338],[.57122802734375,.682691991329193],[.624852001667023,.72809898853302],[.513050019741058,.547281980514526],[.51509702205658,.527251958847046],[.742246985435486,.314507007598877],[.598631024360657,.454979002475739],[.570338010787964,.548575043678284],[.578631997108459,.533622980117798],[.723087012767792,.532054007053375],[.516445994377136,.499638974666595],[.662801027297974,.282917976379395],[.70362401008606,.293271005153656],[.830704987049103,.193813979625702],[.552385985851288,.302568018436432],[.607609987258911,.353887975215912],[.645429015159607,.696707010269165],[.932694971561432,.730105042457581],[.557260990142822,.572826027870178],[.542901992797852,.584792017936707],[.6180260181427,.694710969924927],[.607590973377228,.694203019142151],[.722943007946014,.271963000297546],[.577413976192474,.563166975975037],[.614082992076874,.281386971473694],[.616907000541687,.255886018276215],[.668509006500244,.119913995265961],[.770092010498047,.232020974159241],[.635536015033722,.189248979091644],[.77039098739624,.299556016921997],[.826722025871277,.278755009174347],[.527121007442474,.666198015213013],[.553171992301941,.668527007102966],[.577238023281097,.673889994621277],[.554691970348358,.580065965652466],[.611896991729736,.693961024284363],[.59696102142334,.706539988517761],[.596370995044708,.693953037261963],[.539958000183105,.557139039039612],[.568841993808746,.692366003990173],[.547818005084991,.692366003990173],[.52461302280426,.692366003990173],[.534089982509613,.779141008853912],[.527670979499817,.736225962638855],[.526912987232208,.717857003211975],[.526877999305725,.704625964164734],[.526966989040375,.695277988910675],[.572058022022247,.695277988910675],[.573521018028259,.703539967536926],[.57683801651001,.711845993995667],[.581691026687622,.720062971115112],[.609944999217987,.639909982681274],[.986046016216278,.560034036636353],[.5867999792099,.69539999961853],[.590372025966644,.701822996139526],[.531915009021759,.601536989212036],[.577268004417419,.585934996604919],[.536915004253387,.593786001205444],[.627542972564697,.473352015018463],[.665585994720459,.495950996875763],[.588353991508484,.546862006187439],[.757824003696442,.14767599105835],[.709249973297119,.201507985591888],[.672684013843536,.256581008434296],[.600408971309662,.74900496006012],[.55826598405838,.261672019958496],[.570303976535797,.187870979309082],[.588165998458862,.109044015407562],[.711045026779175,.398952007293701],[.781069993972778,.435405015945435],[.587247014045715,.398931980133057],[.742869973182678,.355445981025696],[.572156012058258,.437651991844177],[.55186802148819,.536570012569427],[.821442008018494,.457556009292603],[.752701997756958,.457181990146637],[.71375697851181,.467626988887787],[.66711300611496,.460672974586487],[.631101012229919,.447153985500336],[.6008620262146,.432473003864288],[.523481011390686,.405627012252808],[.810747981071472,.523926019668579],[.771045982837677,.348959028720856],[.509127020835876,.562718033790588],[.595292985439301,.485023975372314],[.980530977249146,.401564002037048],[.573499977588654,.420000016689301],[.602994978427887,.548687994480133],[.733529984951019,.376977026462555],[.560611009597778,.519016981124878],[.967685997486115,.644356966018677],[.580985009670258,.387160003185272],[.537728011608124,.505385041236877],[.760966002941132,.779752969741821],[.801778972148895,.831938028335571],[.892440974712372,.54076099395752],[.816350996494293,.740260004997253],[.865594983100891,.333687007427216],[.614073991775513,.883246004581451],[.508952975273132,.579437971115112],[.617941975593567,.508316040039062],[.825608015060425,.397674977779388],[.681214988231659,.39623498916626],[.656635999679565,.400596976280212],[.603900015354156,.710216999053955],[.81208598613739,.588539004325867],[.56801301240921,.944564998149872],[.681007981300354,.898285031318665],[.733752012252808,.869701027870178],[.633830010890961,.398822009563446],[.606792986392975,.39553701877594],[.589659988880157,.391062021255493],[.805015981197357,.342108011245728],[.611334979534149,.362284004688263],[.634037971496582,.355970978736877],[.656635999679565,.355356991291046],[.681214988231659,.35834002494812],[.698584973812103,.363156020641327],[.941866993904114,.319076001644135],[.698584973812103,.387449026107788],[.584177017211914,.624107003211975],[.554318010807037,.566076993942261],[.534153997898102,.62064003944397],[.711217999458313,.819975018501282],[.664629995822906,.852871000766754],[.559099972248077,.902631998062134],[.871706008911133,.791940987110138],[.591234028339386,.373893976211548],[.544341027736664,.451583981513977],[.624562978744507,.924192011356354],[.88577002286911,.615028977394104],[.551338016986847,.695277988910675],[.551980018615723,.704632043838501],[.552887976169586,.715808033943176],[.555167973041534,.730794012546539],[.569944024085999,.767035007476807],[.593203008174896,.685675978660583],[.599261999130249,.681069016456604],[.607599973678589,.677703022956848],[.631937980651855,.663500010967255],[.752032995223999,.601315021514893],[.547226011753082,.420395016670227],[.563543975353241,.359827995300293],[.583841025829315,.368713974952698],[.586614012718201,.692366003990173],[.771915018558502,.683578014373779],[.531597018241882,.352482974529266],[.588370978832245,.804440975189209],[.52079701423645,.442565023899078],[.567984998226166,.493479013442993],[.543282985687256,.819254994392395],[.655317008495331,.745514988899231],[.621008992195129,.574018001556396],[.625559985637665,.78031200170517],[.680198013782501,.570719003677368],[.64276397228241,.604337990283966],[.704662978649139,.621529996395111],[.552012026309967,.862591981887817],[.589071989059448,.508637011051178],[.685944974422455,.775357007980347],[.645735025405884,.812640011310577],[.675342977046967,.703978002071381],[.810858011245728,.646304965019226],[.72012197971344,.714666962623596],[.866151988506317,.682704985141754],[.663187026977539,.644596993923187],[.570082008838654,.466325998306274],[.544561982154846,.548375964164734],[.562758982181549,.558784961700439],[.531987011432648,.530140042304993],[.585271000862122,.335177004337311],[.622952997684479,.32277899980545],[.655896008014679,.320163011550903],[.687132000923157,.322345972061157],[.716481983661652,.333200991153717],[.758756995201111,.382786989212036],[.897013008594513,.468769013881683],[.732392013072968,.424547016620636],[.70211398601532,.433162987232208],[.66652500629425,.433866024017334],[.633504986763,.426087975502014],[.603875994682312,.416586995124817],[.579657971858978,.409945011138916],[.992439985275269,.480777025222778],[.567192018032074,.569419980049133],[.54136598110199,.478899002075195],[.526564002037048,.546118021011353],[.523913025856018,.563830018043518],[.531529009342194,.555056989192963],[.566035985946655,.582329034805298],[.51631098985672,.563053965568542],[.5174720287323,.577877044677734],[.573594987392426,.389806985855103],[.560697972774506,.395331978797913],[.549755990505219,.399751007556915],[.710287988185883,.368252992630005],[.723330020904541,.363372981548309]]});var yL=ge(H8=>{xp(H8,{default:()=>V8});var V8=[127,34,139,11,0,37,232,231,120,72,37,39,128,121,47,232,121,128,104,69,67,175,171,148,157,154,155,118,50,101,73,39,40,9,151,108,48,115,131,194,204,211,74,40,185,80,42,183,40,92,186,230,229,118,202,212,214,83,18,17,76,61,146,160,29,30,56,157,173,106,204,194,135,214,192,203,165,98,21,71,68,51,45,4,144,24,23,77,146,91,205,50,187,201,200,18,91,106,182,90,91,181,85,84,17,206,203,36,148,171,140,92,40,39,193,189,244,159,158,28,247,246,161,236,3,196,54,68,104,193,168,8,117,228,31,189,193,55,98,97,99,126,47,100,166,79,218,155,154,26,209,49,131,135,136,150,47,126,217,223,52,53,45,51,134,211,170,140,67,69,108,43,106,91,230,119,120,226,130,247,63,53,52,238,20,242,46,70,156,78,62,96,46,53,63,143,34,227,173,155,133,123,117,111,44,125,19,236,134,51,216,206,205,154,153,22,39,37,167,200,201,208,36,142,100,57,212,202,20,60,99,28,158,157,35,226,113,160,159,27,204,202,210,113,225,46,43,202,204,62,76,77,137,123,116,41,38,72,203,129,142,64,98,240,49,102,64,41,73,74,212,216,207,42,74,184,169,170,211,170,149,176,105,66,69,122,6,168,123,147,187,96,77,90,65,55,107,89,90,180,101,100,120,63,105,104,93,137,227,15,86,85,129,102,49,14,87,86,55,8,9,100,47,121,145,23,22,88,89,179,6,122,196,88,95,96,138,172,136,215,58,172,115,48,219,42,80,81,195,3,51,43,146,61,171,175,199,81,82,38,53,46,225,144,163,110,246,33,7,52,65,66,229,228,117,34,127,234,107,108,69,109,108,151,48,64,235,62,78,191,129,209,126,111,35,143,163,161,246,117,123,50,222,65,52,19,125,141,221,55,65,3,195,197,25,7,33,220,237,44,70,71,139,122,193,245,247,130,33,71,21,162,153,158,159,170,169,150,188,174,196,216,186,92,144,160,161,2,97,167,141,125,241,164,167,37,72,38,12,145,159,160,38,82,13,63,68,71,226,35,111,158,153,154,101,50,205,206,92,165,209,198,217,165,167,97,220,115,218,133,112,243,239,238,241,214,135,169,190,173,133,171,208,32,125,44,237,86,87,178,85,86,179,84,85,180,83,84,181,201,83,182,137,93,132,76,62,183,61,76,184,57,61,185,212,57,186,214,207,187,34,143,156,79,239,237,123,137,177,44,1,4,201,194,32,64,102,129,213,215,138,59,166,219,242,99,97,2,94,141,75,59,235,24,110,228,25,130,226,23,24,229,22,23,230,26,22,231,112,26,232,189,190,243,221,56,190,28,56,221,27,28,222,29,27,223,30,29,224,247,30,225,238,79,20,166,59,75,60,75,240,147,177,215,20,79,166,187,147,213,112,233,244,233,128,245,128,114,188,114,217,174,131,115,220,217,198,236,198,131,134,177,132,58,143,35,124,110,163,7,228,110,25,356,389,368,11,302,267,452,350,349,302,303,269,357,343,277,452,453,357,333,332,297,175,152,377,384,398,382,347,348,330,303,304,270,9,336,337,278,279,360,418,262,431,304,408,409,310,415,407,270,409,410,450,348,347,422,430,434,313,314,17,306,307,375,387,388,260,286,414,398,335,406,418,364,367,416,423,358,327,251,284,298,281,5,4,373,374,253,307,320,321,425,427,411,421,313,18,321,405,406,320,404,405,315,16,17,426,425,266,377,400,369,322,391,269,417,465,464,386,257,258,466,260,388,456,399,419,284,332,333,417,285,8,346,340,261,413,441,285,327,460,328,355,371,329,392,439,438,382,341,256,429,420,360,364,394,379,277,343,437,443,444,283,275,440,363,431,262,369,297,338,337,273,375,321,450,451,349,446,342,467,293,334,282,458,461,462,276,353,383,308,324,325,276,300,293,372,345,447,382,398,362,352,345,340,274,1,19,456,248,281,436,427,425,381,256,252,269,391,393,200,199,428,266,330,329,287,273,422,250,462,328,258,286,384,265,353,342,387,259,257,424,431,430,342,353,276,273,335,424,292,325,307,366,447,345,271,303,302,423,266,371,294,455,460,279,278,294,271,272,304,432,434,427,272,407,408,394,430,431,395,369,400,334,333,299,351,417,168,352,280,411,325,319,320,295,296,336,319,403,404,330,348,349,293,298,333,323,454,447,15,16,315,358,429,279,14,15,316,285,336,9,329,349,350,374,380,252,318,402,403,6,197,419,318,319,325,367,364,365,435,367,397,344,438,439,272,271,311,195,5,281,273,287,291,396,428,199,311,271,268,283,444,445,373,254,339,263,466,249,282,334,296,449,347,346,264,447,454,336,296,299,338,10,151,278,439,455,292,407,415,358,371,355,340,345,372,390,249,466,346,347,280,442,443,282,19,94,370,441,442,295,248,419,197,263,255,359,440,275,274,300,383,368,351,412,465,263,467,466,301,368,389,380,374,386,395,378,379,412,351,419,436,426,322,373,390,388,2,164,393,370,462,461,164,0,267,302,11,12,374,373,387,268,12,13,293,300,301,446,261,340,385,384,381,330,266,425,426,423,391,429,355,437,391,327,326,440,457,438,341,382,362,459,457,461,434,430,394,414,463,362,396,369,262,354,461,457,316,403,402,315,404,403,314,405,404,313,406,405,421,418,406,366,401,361,306,408,407,291,409,408,287,410,409,432,436,410,434,416,411,264,368,383,309,438,457,352,376,401,274,275,4,421,428,262,294,327,358,433,416,367,289,455,439,462,370,326,2,326,370,305,460,455,254,449,448,255,261,446,253,450,449,252,451,450,256,452,451,341,453,452,413,464,463,441,413,414,258,442,441,257,443,442,259,444,443,260,445,444,467,342,445,459,458,250,289,392,290,290,328,460,376,433,435,250,290,392,411,416,433,341,463,464,453,464,465,357,465,412,343,412,399,360,363,440,437,399,456,420,456,363,401,435,288,372,383,353,339,255,249,448,261,255,133,243,190,133,155,112,33,246,247,33,130,25,398,384,286,362,398,414,362,463,341,263,359,467,263,249,255,466,467,260,75,60,166,238,239,79,162,127,139,72,11,37,121,232,120,73,72,39,114,128,47,233,232,128,103,104,67,152,175,148,173,157,155,119,118,101,74,73,40,107,9,108,49,48,131,32,194,211,184,74,185,191,80,183,185,40,186,119,230,118,210,202,214,84,83,17,77,76,146,161,160,30,190,56,173,182,106,194,138,135,192,129,203,98,54,21,68,5,51,4,145,144,23,90,77,91,207,205,187,83,201,18,181,91,182,180,90,181,16,85,17,205,206,36,176,148,140,165,92,39,245,193,244,27,159,28,30,247,161,174,236,196,103,54,104,55,193,8,111,117,31,221,189,55,240,98,99,142,126,100,219,166,218,112,155,26,198,209,131,169,135,150,114,47,217,224,223,53,220,45,134,32,211,140,109,67,108,146,43,91,231,230,120,113,226,247,105,63,52,241,238,242,124,46,156,95,78,96,70,46,63,116,143,227,116,123,111,1,44,19,3,236,51,207,216,205,26,154,22,165,39,167,199,200,208,101,36,100,43,57,202,242,20,99,56,28,157,124,35,113,29,160,27,211,204,210,124,113,46,106,43,204,96,62,77,227,137,116,73,41,72,36,203,142,235,64,240,48,49,64,42,41,74,214,212,207,183,42,184,210,169,211,140,170,176,104,105,69,193,122,168,50,123,187,89,96,90,66,65,107,179,89,180,119,101,120,68,63,104,234,93,227,16,15,85,209,129,49,15,14,86,107,55,9,120,100,121,153,145,22,178,88,179,197,6,196,89,88,96,135,138,136,138,215,172,218,115,219,41,42,81,5,195,51,57,43,61,208,171,199,41,81,38,224,53,225,24,144,110,105,52,66,118,229,117,227,34,234,66,107,69,10,109,151,219,48,235,183,62,191,142,129,126,116,111,143,7,163,246,118,117,50,223,222,52,94,19,141,222,221,65,196,3,197,45,220,44,156,70,139,188,122,245,139,71,162,145,153,159,149,170,150,122,188,196,206,216,92,163,144,161,164,2,167,242,141,241,0,164,37,11,72,12,144,145,160,12,38,13,70,63,71,31,226,111,157,158,154,36,101,205,203,206,165,126,209,217,98,165,97,237,220,218,237,239,241,210,214,169,140,171,32,241,125,237,179,86,178,180,85,179,181,84,180,182,83,181,194,201,182,177,137,132,184,76,183,185,61,184,186,57,185,216,212,186,192,214,187,139,34,156,218,79,237,147,123,177,45,44,4,208,201,32,98,64,129,192,213,138,235,59,219,141,242,97,97,2,141,240,75,235,229,24,228,31,25,226,230,23,229,231,22,230,232,26,231,233,112,232,244,189,243,189,221,190,222,28,221,223,27,222,224,29,223,225,30,224,113,247,225,99,60,240,213,147,215,60,20,166,192,187,213,243,112,244,244,233,245,245,128,188,188,114,174,134,131,220,174,217,236,236,198,134,215,177,58,156,143,124,25,110,7,31,228,25,264,356,368,0,11,267,451,452,349,267,302,269,350,357,277,350,452,357,299,333,297,396,175,377,381,384,382,280,347,330,269,303,270,151,9,337,344,278,360,424,418,431,270,304,409,272,310,407,322,270,410,449,450,347,432,422,434,18,313,17,291,306,375,259,387,260,424,335,418,434,364,416,391,423,327,301,251,298,275,281,4,254,373,253,375,307,321,280,425,411,200,421,18,335,321,406,321,320,405,314,315,17,423,426,266,396,377,369,270,322,269,413,417,464,385,386,258,248,456,419,298,284,333,168,417,8,448,346,261,417,413,285,326,327,328,277,355,329,309,392,438,381,382,256,279,429,360,365,364,379,355,277,437,282,443,283,281,275,363,395,431,369,299,297,337,335,273,321,348,450,349,359,446,467,283,293,282,250,458,462,300,276,383,292,308,325,283,276,293,264,372,447,346,352,340,354,274,19,363,456,281,426,436,425,380,381,252,267,269,393,421,200,428,371,266,329,432,287,422,290,250,328,385,258,384,446,265,342,386,387,257,422,424,430,445,342,276,422,273,424,306,292,307,352,366,345,268,271,302,358,423,371,327,294,460,331,279,294,303,271,304,436,432,427,304,272,408,395,394,431,378,395,400,296,334,299,6,351,168,376,352,411,307,325,320,285,295,336,320,319,404,329,330,349,334,293,333,366,323,447,316,15,315,331,358,279,317,14,316,8,285,9,277,329,350,253,374,252,319,318,403,351,6,419,324,318,325,397,367,365,288,435,397,278,344,439,310,272,311,248,195,281,375,273,291,175,396,199,312,311,268,276,283,445,390,373,339,295,282,296,448,449,346,356,264,454,337,336,299,337,338,151,294,278,455,308,292,415,429,358,355,265,340,372,388,390,466,352,346,280,295,442,282,354,19,370,285,441,295,195,248,197,457,440,274,301,300,368,417,351,465,251,301,389,385,380,386,394,395,379,399,412,419,410,436,322,387,373,388,326,2,393,354,370,461,393,164,267,268,302,12,386,374,387,312,268,13,298,293,301,265,446,340,380,385,381,280,330,425,322,426,391,420,429,437,393,391,326,344,440,438,458,459,461,364,434,394,428,396,262,274,354,457,317,316,402,316,315,403,315,314,404,314,313,405,313,421,406,323,366,361,292,306,407,306,291,408,291,287,409,287,432,410,427,434,411,372,264,383,459,309,457,366,352,401,1,274,4,418,421,262,331,294,358,435,433,367,392,289,439,328,462,326,94,2,370,289,305,455,339,254,448,359,255,446,254,253,449,253,252,450,252,256,451,256,341,452,414,413,463,286,441,414,286,258,441,258,257,442,257,259,443,259,260,444,260,467,445,309,459,250,305,289,290,305,290,460,401,376,435,309,250,392,376,411,433,453,341,464,357,453,465,343,357,412,437,343,399,344,360,440,420,437,456,360,420,363,361,401,288,265,372,353,390,339,249,339,448,255]});var SL=ge(ls=>{const hr=kt(),q8=aL(),bL=Zd(),G8=mL(),Y8=vL(),K8=yL().default;class wL{constructor(n,t,e,i){this.pipeline=new G8.Pipeline(n,t,e,i),i&&(this.config=i)}async estimateFaces(n,t){t&&(this.config=t);const e=hr.tidy(()=>(n instanceof hr.Tensor||(n=hr.browser.fromPixels(n)),n.toFloat().expandDims(0))),i=await this.pipeline.predict(e,this.config.iris.enabled,this.config.mesh.enabled);hr.dispose(e);const r=[];for(const a of i||[]){const s=a.confidence.arraySync();if(s>=this.config.detector.minConfidence){const o=a.coords?a.coords.arraySync():null,l={};if(o&&o.length>0)for(const u in bL.MESH_ANNOTATIONS)(this.config.iris.enabled||u.includes("Iris")===!1)&&(l[u]=bL.MESH_ANNOTATIONS[u].map(c=>o[c]));r.push({confidence:s||0,box:a.box?[a.box.startPoint[0],a.box.startPoint[1],a.box.endPoint[0]-a.box.startPoint[0],a.box.endPoint[1]-a.box.startPoint[1]]:0,mesh:o,annotations:l,image:a.image?hr.clone(a.image):null})}a.confidence.dispose(),a.image.dispose()}return r}}async function j8(n){const t=await Promise.all([q8.load(n),hr.loadGraphModel(n.mesh.modelPath,{fromTFHub:n.mesh.modelPath.includes("tfhub.dev")}),hr.loadGraphModel(n.iris.modelPath,{fromTFHub:n.iris.modelPath.includes("tfhub.dev")})]),e=new wL(t[0],t[1],t[2],n);return e}ls.load=j8;ls.MediaPipeFaceMesh=wL;ls.uv_coords=Y8;ls.triangulation=K8});var IL=ge($o=>{const $t=kt(),sa={};let LL={age:0,gender:""},sp=0;async function $8(n,t){const e=$t.tidy(()=>{const i=$t.browser.fromPixels(n),r=$t.image.resizeBilinear(i,[t,t]),a=$t.cast($t.expandDims(r,0),"float32");return a});return e}async function X8(n){sa.age||(sa.age=await $t.loadGraphModel(n.face.age.modelPath))}async function J8(n){sa.gender||(sa.gender=await $t.loadGraphModel(n.face.gender.modelPath))}async function Z8(n,t){if(sp+=1,sp>=t.face.age.skipFrames)return sp=0,LL;let e;if(n instanceof $t.Tensor){const r=$t.image.resizeBilinear(n,[t.face.age.inputSize,t.face.age.inputSize],!1);e=$t.mul(r,[255]),$t.dispose(r)}else e=await $8(n,t.face.age.inputSize);const i={};if(t.face.age.enabled){const r=await sa.age.predict(e);i.age=Math.trunc(10*r.dataSync()[0])/10,$t.dispose(r)}if(t.face.gender.enabled){const r=await sa.gender.predict(e);i.gender=Math.trunc(100*r.dataSync()[0])<50?"female":"male",$t.dispose(r)}return $t.dispose(e),LL=i,i}$o.predict=Z8;$o.loadAge=X8;$o.loadGender=J8});var NL=ge(AL=>{const TL=kt();class Q8{constructor(n,t){this.model=n,this.outputStride=t;const e=this.model.inputs[0].shape;TL.util.assert(e[1]===-1&&e[2]===-1,()=>`Input shape [${e[1]}, ${e[2]}] must both be equal to or -1`)}predict(n){return TL.tidy(()=>{const t=this.preprocessInput(n.toFloat()),e=t.expandDims(0),i=this.model.predict(e),r=i.map(s=>s.squeeze([0])),a=this.nameOutputResults(r);return{heatmapScores:a.heatmap.sigmoid(),offsets:a.offsets,displacementFwd:a.displacementFwd,displacementBwd:a.displacementBwd}})}dispose(){this.model.dispose()}}AL.BaseModel=Q8});var op=ge(xL=>{const CL=kt(),e7=NL();class t7 extends e7.BaseModel{preprocessInput(n){return CL.tidy(()=>CL.div(n,127.5).sub(1))}nameOutputResults(n){const[t,e,i,r]=n;return{offsets:t,heatmap:e,displacementFwd:i,displacementBwd:r}}}xL.MobileNet=t7});var OL=ge(RL=>{function lp(n){return Math.floor(n/2)}class n7{constructor(n,t){this.priorityQueue=new Array(n),this.numberOfElements=-1,this.getElementValue=t}enqueue(n){this.priorityQueue[++this.numberOfElements]=n,this.swim(this.numberOfElements)}dequeue(){const n=this.priorityQueue[0];return this.exchange(0,this.numberOfElements--),this.sink(0),this.priorityQueue[this.numberOfElements+1]=null,n}empty(){return this.numberOfElements===-1}size(){return this.numberOfElements+1}all(){return this.priorityQueue.slice(0,this.numberOfElements+1)}max(){return this.priorityQueue[0]}swim(n){for(;n>0&&this.less(lp(n),n);)this.exchange(n,lp(n)),n=lp(n)}sink(n){for(;2*n<=this.numberOfElements;){let t=2*n;if(t<this.numberOfElements&&this.less(t,t+1)&&t++,!this.less(n,t))break;this.exchange(n,t),n=t}}getValueAt(n){return this.getElementValue(this.priorityQueue[n])}less(n,t){return this.getValueAt(n)<this.getValueAt(t)}exchange(n,t){const e=this.priorityQueue[n];this.priorityQueue[n]=this.priorityQueue[t],this.priorityQueue[t]=e}}RL.MaxHeap=n7});var DL=ge(EL=>{const i7=OL();function r7(n,t,e,i,r,a){const[s,o]=a.shape;let l=!0;const u=Math.max(e-r,0),c=Math.min(e+r+1,s);for(let h=u;h<c;++h){const d=Math.max(i-r,0),p=Math.min(i+r+1,o);for(let f=d;f<p;++f)if(a.get(h,f,n)>t){l=!1;break}if(!l)break}return l}function a7(n,t,e){const[i,r,a]=e.shape,s=new i7.MaxHeap(i*r*a,({score:o})=>o);for(let o=0;o<i;++o)for(let l=0;l<r;++l)for(let u=0;u<a;++u){const c=e.get(o,l,u);if(c<n)continue;r7(u,c,o,l,t,e)&&s.enqueue({score:c,part:{heatmapY:o,heatmapX:l,id:u}})}return s}EL.buildPartWithScoreQueue=a7});var dr=ge(Sn=>{Sn.partNames=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"];Sn.NUM_KEYPOINTS=Sn.partNames.length;Sn.partIds=Sn.partNames.reduce((n,t,e)=>(n[t]=e,n),{});const s7=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]];Sn.poseChain=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]];Sn.connectedPartIndices=s7.map(([n,t])=>[Sn.partIds[n],Sn.partIds[t]]);Sn.partChannels=["left_face","right_face","right_upper_leg_front","right_lower_leg_back","right_upper_leg_back","left_lower_leg_front","left_upper_leg_front","left_upper_leg_back","left_lower_leg_back","right_feet","right_lower_leg_front","left_feet","torso_front","torso_back","right_upper_arm_front","right_upper_arm_back","right_lower_arm_back","left_lower_arm_front","left_upper_arm_front","left_upper_arm_back","left_lower_arm_back","right_hand","right_lower_arm_front","left_hand"]});var cp=ge(Ti=>{const o7=dr();function kL(n,t,e,i){return{y:i.get(n,t,e),x:i.get(n,t,e+o7.NUM_KEYPOINTS)}}Ti.getOffsetPoint=kL;function l7(n,t,e){const{heatmapY:i,heatmapX:r,id:a}=n,{y:s,x:o}=kL(i,r,a,e);return{x:n.heatmapX*t+o,y:n.heatmapY*t+s}}Ti.getImageCoords=l7;function u7(n,t){const e=new Array(t);for(let i=0;i<t;i++)e[i]=n;return e}Ti.fillArray=u7;function up(n,t,e){return n<t?t:n>e?e:n}Ti.clamp=up;function c7(n,t,e,i){const r=e-n,a=i-t;return r*r+a*a}Ti.squaredDistance=c7;function h7(n,t){return{x:n.x+t.x,y:n.y+t.y}}Ti.addVectors=h7;function d7(n,t,e){return{y:up(n.y,t,e),x:up(n.x,t,e)}}Ti.clampVector=d7});var zL=ge(FL=>{const us=dr(),oa=cp(),WL=us.poseChain.map(([n,t])=>[us.partIds[n],us.partIds[t]]),hp=WL.map(([,n])=>n),UL=WL.map(([n])=>n);function p7(n,t,e){const i=e.shape[2]/2;return{y:e.get(t.y,t.x,n),x:e.get(t.y,t.x,i+n)}}function dp(n,t,e,i){return{y:oa.clamp(Math.round(n.y/t),0,e-1),x:oa.clamp(Math.round(n.x/t),0,i-1)}}function BL(n,t,e,i,r,a,s,o=2){const[l,u]=i.shape,c=dp(t.position,a,l,u),h=p7(n,c,s),d=oa.addVectors(t.position,h);let p=d;for(let g=0;g<o;g++){const v=dp(p,a,l,u),b=oa.getOffsetPoint(v.y,v.x,e,r);p=oa.addVectors({x:v.x*a,y:v.y*a},{x:b.x,y:b.y})}const f=dp(p,a,l,u),m=i.get(f.y,f.x,e);return{position:p,part:us.partNames[e],score:m}}function f7(n,t,e,i,r,a){const s=t.shape[2],o=hp.length,l=new Array(s),{part:u,score:c}=n,h=oa.getImageCoords(u,i,e);l[u.id]={score:c,part:us.partNames[u.id],position:h};for(let d=o-1;d>=0;--d){const p=hp[d],f=UL[d];l[p]&&!l[f]&&(l[f]=BL(d,l[p],f,t,e,i,a))}for(let d=0;d<o;++d){const p=UL[d],f=hp[d];l[p]&&!l[f]&&(l[f]=BL(d,l[p],f,t,e,i,r))}return l}FL.decodePose=f7});var pp=ge(PL=>{const m7=DL(),g7=zL(),_L=cp();function ML(n,t,{x:e,y:i},r){return n.some(({keypoints:a})=>{const s=a[r].position;return _L.squaredDistance(i,e,s.y,s.x)<=t})}function v7(n,t,e){const i=e.reduce((r,{position:a,score:s},o)=>(ML(n,t,a,o)||(r+=s),r),0);return i/e.length}const y7=1;function b7(n,t,e,i,r,a,s=.5,o=20){const l=[],u=m7.buildPartWithScoreQueue(s,y7,n),c=o*o;for(;l.length<a&&!u.empty();){const h=u.dequeue(),d=_L.getImageCoords(h.part,r,t);if(ML(l,c,d,h.part.id))continue;const p=g7.decodePose(h,n,t,r,e,i),f=v7(l,c,p);l.push({keypoints:p,score:f})}return l}PL.decodeMultiplePoses=b7});var VL=ge(cs=>{const Jn=kt(),fp=dr();function w7(n,t){const e=t.shape[0],i=new Float32Array(e);for(let r=0;r<e;r++){const a=t.get(r,0),s=t.get(r,1);i[r]=n.get(a,s,r)}return i}cs.getPointsConfidence=w7;function S7(n,t,e,i){return{y:i.get(n,t,e),x:i.get(n,t,e+fp.NUM_KEYPOINTS)}}function HL(n,t){const e=[];for(let i=0;i<fp.NUM_KEYPOINTS;i++){const r=n.get(i,0).valueOf(),a=n.get(i,1).valueOf(),{x:s,y:o}=S7(r,a,i,t);e.push(o),e.push(s)}return Jn.tensor2d(e,[fp.NUM_KEYPOINTS,2])}cs.getOffsetVectors=HL;function L7(n,t,e){return Jn.tidy(()=>{const i=HL(n,e);return n.toTensor().mul(Jn.scalar(t,"int32")).toFloat().add(i)})}cs.getOffsetPoints=L7;function I7(n,t){return Jn.tidy(()=>{const e=n.div(Jn.scalar(t,"int32"));return n.sub(e.mul(Jn.scalar(t,"int32")))})}function A7(n){const[t,e,i]=n.shape;return Jn.tidy(()=>{const r=n.reshape([t*e,i]),a=r.argMax(0),s=a.div(Jn.scalar(e,"int32")).expandDims(1),o=I7(a,e).expandDims(1);return Jn.concat([s,o],1)})}cs.argmax2d=A7});var gp=ge(qL=>{const T7=dr(),mp=VL();async function N7(n,t,e){let i=0;const r=mp.argmax2d(n),a=await Promise.all([n.buffer(),t.buffer(),r.buffer()]),s=a[0],o=a[1],l=a[2],u=mp.getOffsetPoints(l,e,o),c=await u.buffer(),h=Array.from(mp.getPointsConfidence(s,l)),d=h.map((p,f)=>(i+=p,{position:{y:c.get(f,0),x:c.get(f,1)},part:T7.partNames[f],score:p}));return r.dispose(),u.dispose(),{keypoints:d,score:i/d.length}}qL.decodeSinglePose=N7});var yp=ge(ln=>{const la=kt(),x7=dr();function C7(n,t,e){return n<e||t<e}function R7(n,t){return x7.connectedPartIndices.reduce((e,[i,r])=>(C7(n[i].score,n[r].score,t)||e.push([n[i],n[r]]),e),[])}ln.getAdjacentKeyPoints=R7;const{NEGATIVE_INFINITY:GL,POSITIVE_INFINITY:YL}=Number;function KL(n){return n.reduce(({maxX:t,maxY:e,minX:i,minY:r},{position:{x:a,y:s}})=>({maxX:Math.max(t,a),maxY:Math.max(e,s),minX:Math.min(i,a),minY:Math.min(r,s)}),{maxX:GL,maxY:GL,minX:YL,minY:YL})}ln.getBoundingBox=KL;function O7(n){const{minX:t,minY:e,maxX:i,maxY:r}=KL(n);return[{x:t,y:e},{x:i,y:e},{x:i,y:r},{x:t,y:r}]}ln.getBoundingBoxPoints=O7;async function E7(n){return Promise.all(n.map(t=>t.buffer()))}ln.toTensorBuffers3D=E7;function jL(n,t,e,i=0,r=0){return{score:n.score,keypoints:n.keypoints.map(({score:a,part:s,position:o})=>({score:a,part:s,position:{x:o.x*e+r,y:o.y*t+i}}))}}ln.scalePose=jL;function $L(n,t,e,i=0,r=0){return e===1&&t===1&&i===0&&r===0?n:n.map(a=>jL(a,t,e,i,r))}ln.scalePoses=$L;function XL(n){return n instanceof la.Tensor?[n.shape[0],n.shape[1]]:[n.height,n.width]}ln.getInputTensorDimensions=XL;function vp(n){return n instanceof la.Tensor?n:la.browser.fromPixels(n)}ln.toInputTensor=vp;function D7(n,t,e){return la.tidy(()=>{const i=vp(n);return i.resizeBilinear([t,e])})}ln.toResizedInputTensor=D7;function k7(n,[t,e]){const[i,r]=XL(n),a=e/t,s=r/i;let[o,l,u,c]=[0,0,0,0];s<a?(o=0,l=0,u=Math.round(.5*(a*i-r)),c=Math.round(.5*(a*i-r))):(o=Math.round(.5*(1/a*r-i)),l=Math.round(.5*(1/a*r-i)),u=0,c=0);const h=la.tidy(()=>{let d=vp(n);return d=la.pad3d(d,[[o,l],[u,c],[0,0]]),d.resizeBilinear([t,e])});return{resized:h,padding:{top:o,left:u,right:c,bottom:l}}}ln.padAndResizeTo=k7;function F7(n,[t,e],[i,r],a){const s=(t+a.top+a.bottom)/i,o=(e+a.left+a.right)/r,l=$L(n,s,o,-a.top,-a.left);return l}ln.scaleAndFlipPoses=F7});var ZL=ge(bp=>{const W7=kt(),U7=op(),B7=pp(),z7=gp(),pr=yp();class JL{constructor(n,t){this.baseModel=n,this.inputResolution=t}async estimateMultiplePoses(n,t){const e=this.baseModel.outputStride,i=this.inputResolution,[r,a]=pr.getInputTensorDimensions(n),{resized:s,padding:o}=pr.padAndResizeTo(n,[i,i]),{heatmapScores:l,offsets:u,displacementFwd:c,displacementBwd:h}=this.baseModel.predict(s),d=await pr.toTensorBuffers3D([l,u,c,h]),p=d[0],f=d[1],m=d[2],g=d[3],v=await B7.decodeMultiplePoses(p,f,m,g,e,t.maxDetections,t.scoreThreshold,t.nmsRadius),b=pr.scaleAndFlipPoses(v,[r,a],[i,i],o);return l.dispose(),u.dispose(),c.dispose(),h.dispose(),s.dispose(),b}async estimateSinglePose(n){const t=this.baseModel.outputStride,e=this.inputResolution,[i,r]=pr.getInputTensorDimensions(n),{resized:a,padding:s}=pr.padAndResizeTo(n,e),{heatmapScores:o,offsets:l,displacementFwd:u,displacementBwd:c}=this.baseModel.predict(a),h=await z7.decodeSinglePose(o,l,t),d=[h],p=pr.scaleAndFlipPoses(d,[i,r],[e,e],s);return o.dispose(),l.dispose(),u.dispose(),c.dispose(),a.dispose(),p[0]}dispose(){this.baseModel.dispose()}}bp.PoseNet=JL;async function P7(n){const t=n.outputStride,e=await W7.loadGraphModel(n.modelPath),i=new U7.MobileNet(e,t);return new JL(i,n.inputResolution)}async function _7(n){return P7(n)}bp.load=_7});var eI=ge(Mt=>{const M7=op(),QL=ZL(),H7=pp(),V7=gp(),Xo=dr(),hs=yp();Mt.load=QL.load;Mt.PoseNet=QL.PoseNet;Mt.MobileNet=M7.MobileNet;Mt.decodeMultiplePoses=H7.decodeMultiplePoses;Mt.decodeSinglePose=V7.decodeSinglePose;Mt.partChannels=Xo.partChannels;Mt.partIds=Xo.partIds;Mt.partNames=Xo.partNames;Mt.poseChain=Xo.poseChain;Mt.getAdjacentKeyPoints=hs.getAdjacentKeyPoints;Mt.getBoundingBox=hs.getBoundingBox;Mt.getBoundingBoxPoints=hs.getBoundingBoxPoints;Mt.scaleAndFlipPoses=hs.scaleAndFlipPoses;Mt.scalePose=hs.scalePose});var Lp=ge(Ni=>{const q7=kt();function wp(n){return[Math.abs(n.endPoint[0]-n.startPoint[0]),Math.abs(n.endPoint[1]-n.startPoint[1])]}Ni.getBoxSize=wp;function Sp(n){return[n.startPoint[0]+(n.endPoint[0]-n.startPoint[0])/2,n.startPoint[1]+(n.endPoint[1]-n.startPoint[1])/2]}Ni.getBoxCenter=Sp;function G7(n,t,e){const i=t.shape[1],r=t.shape[2],a=[[n.startPoint[1]/i,n.startPoint[0]/r,n.endPoint[1]/i,n.endPoint[0]/r]];return q7.image.cropAndResize(t,a,[0],e)}Ni.cutBoxFromImageAndResize=G7;function Y7(n,t){const e=[n.startPoint[0]*t[0],n.startPoint[1]*t[1]],i=[n.endPoint[0]*t[0],n.endPoint[1]*t[1]],r=n.palmLandmarks.map(a=>{const s=[a[0]*t[0],a[1]*t[1]];return s});return{startPoint:e,endPoint:i,palmLandmarks:r}}Ni.scaleBoxCoordinates=Y7;function K7(n,t=1.5){const e=Sp(n),i=wp(n),r=[t*i[0]/2,t*i[1]/2],a=[e[0]-r[0],e[1]-r[1]],s=[e[0]+r[0],e[1]+r[1]];return{startPoint:a,endPoint:s,palmLandmarks:n.palmLandmarks}}Ni.enlargeBox=K7;function j7(n){const t=Sp(n),e=wp(n),i=Math.max(...e),r=i/2,a=[t[0]-r,t[1]-r],s=[t[0]+r,t[1]+r];return{startPoint:a,endPoint:s,palmLandmarks:n.palmLandmarks}}Ni.squarifyBox=j7;function $7(n,t){const e=[n.endPoint[0]-n.startPoint[0],n.endPoint[1]-n.startPoint[1]],i=[e[0]*t[0],e[1]*t[1]],r=[n.startPoint[0]+i[0],n.startPoint[1]+i[1]],a=[n.endPoint[0]+i[0],n.endPoint[1]+i[1]];return{startPoint:r,endPoint:a,palmLandmarks:n.palmLandmarks}}Ni.shiftBox=$7});var nI=ge(tI=>{const Ue=kt(),X7=Lp();class J7{constructor(n,t,e,i,r,a){this.model=n,this.width=t,this.height=e,this.iouThreshold=r,this.scoreThreshold=a,this.anchors=i.map(s=>[s.x_center,s.y_center]),this.anchorsTensor=Ue.tensor2d(this.anchors),this.inputSizeTensor=Ue.tensor1d([t,e]),this.doubleInputSizeTensor=Ue.tensor1d([t*2,e*2])}normalizeBoxes(n){return Ue.tidy(()=>{const t=Ue.slice(n,[0,0],[-1,2]),e=Ue.slice(n,[0,2],[-1,2]),i=Ue.add(Ue.div(t,this.inputSizeTensor),this.anchorsTensor),r=Ue.div(e,this.doubleInputSizeTensor),a=Ue.mul(Ue.sub(i,r),this.inputSizeTensor),s=Ue.mul(Ue.add(i,r),this.inputSizeTensor);return Ue.concat2d([a,s],1)})}normalizeLandmarks(n,t){return Ue.tidy(()=>{const e=Ue.add(Ue.div(n.reshape([-1,7,2]),this.inputSizeTensor),this.anchors[t]);return Ue.mul(e,this.inputSizeTensor)})}async getBoundingBoxes(n){const t=Ue.tidy(()=>Ue.mul(Ue.sub(n,.5),2));let e;if(Ue.getBackend()==="webgl"){const f=Ue.env().get("WEBGL_PACK_DEPTHWISECONV");Ue.env().set("WEBGL_PACK_DEPTHWISECONV",!0),e=this.model.predict(t),Ue.env().set("WEBGL_PACK_DEPTHWISECONV",f)}else e=this.model.predict(t);const i=e.squeeze(),r=Ue.tidy(()=>Ue.sigmoid(Ue.slice(i,[0,0],[-1,1])).squeeze()),a=Ue.slice(i,[0,1],[-1,4]),s=this.normalizeBoxes(a),o=await Ue.image.nonMaxSuppressionAsync(s,r,1,this.iouThreshold,this.scoreThreshold),l=await o.array(),u=[t,e,o,i,s,a,r];if(l.length===0)return u.forEach(f=>f.dispose()),null;const c=l[0],h=Ue.slice(s,[c,0],[1,-1]),d=Ue.slice(i,[c,5],[1,14]),p=Ue.tidy(()=>this.normalizeLandmarks(d,c).reshape([-1,2]));return u.push(d),u.forEach(f=>f.dispose()),{boxes:h,palmLandmarks:p}}async estimateHandBounds(n){const t=n.shape[1],e=n.shape[2],i=Ue.tidy(()=>n.resizeBilinear([this.width,this.height]).div(255)),r=await this.getBoundingBoxes(i);if(r===null)return i.dispose(),null;const a=r.boxes.arraySync(),s=a[0].slice(0,2),o=a[0].slice(2,4),l=r.palmLandmarks.arraySync();return i.dispose(),r.boxes.dispose(),r.palmLandmarks.dispose(),X7.scaleBoxCoordinates({startPoint:s,endPoint:o,palmLandmarks:l},[e/this.width,t/this.height])}}tI.HandDetector=J7});var rI=ge(iI=>{iI.MESH_ANNOTATIONS={thumb:[1,2,3,4],indexFinger:[5,6,7,8],middleFinger:[9,10,11,12],ringFinger:[13,14,15,16],pinky:[17,18,19,20],palmBase:[0]}});var uI=ge(xi=>{function aI(n){return n-2*Math.PI*Math.floor((n+Math.PI)/(2*Math.PI))}xi.normalizeRadians=aI;function Z7(n,t){const e=Math.PI/2-Math.atan2(-(t[1]-n[1]),t[0]-n[0]);return aI(e)}xi.computeRotation=Z7;const sI=(n,t)=>[[1,0,n],[0,1,t],[0,0,1]];function ua(n,t){let e=0;for(let i=0;i<n.length;i++)e+=n[i]*t[i];return e}xi.dot=ua;function oI(n,t){const e=[];for(let i=0;i<n.length;i++)e.push(n[i][t]);return e}xi.getColumnFrom2DArr=oI;function lI(n,t){const e=[],i=n.length;for(let r=0;r<i;r++){e.push([]);for(let a=0;a<i;a++)e[r].push(ua(n[r],oI(t,a)))}return e}function Q7(n,t){const e=Math.cos(n),i=Math.sin(n),r=[[e,-i,0],[i,e,0],[0,0,1]],a=sI(t[0],t[1]),s=lI(a,r),o=sI(-t[0],-t[1]);return lI(s,o)}xi.buildRotationMatrix=Q7;function eH(n){const t=[[n[0][0],n[1][0]],[n[0][1],n[1][1]]],e=[n[0][2],n[1][2]],i=[-ua(t[0],e),-ua(t[1],e)];return[t[0].concat(i[0]),t[1].concat(i[1]),[0,0,1]]}xi.invertTransformMatrix=eH;function tH(n,t){return[ua(n,t[0]),ua(n,t[1])]}xi.rotatePoint=tH});var dI=ge(cI=>{const ca=kt(),Bn=Lp(),Ci=uI(),nH=.8,iH=[0,-.4],rH=3,aH=[0,-.1],sH=1.65,hI=[0,5,9,13,17,1,2],oH=0,lH=2;class uH{constructor(n,t,e,i,r,a){this.regionsOfInterest=[],this.runsWithoutHandDetector=0,this.boundingBoxDetector=n,this.meshDetector=t,this.maxContinuousChecks=r,this.detectionConfidence=a,this.meshWidth=e,this.meshHeight=i,this.maxHandsNumber=1}getBoxForPalmLandmarks(n,t){const e=n.map(r=>{const a=[...r,1];return Ci.rotatePoint(a,t)}),i=this.calculateLandmarksBoundingBox(e);return Bn.enlargeBox(Bn.squarifyBox(Bn.shiftBox(i,iH)),rH)}getBoxForHandLandmarks(n){const t=this.calculateLandmarksBoundingBox(n),e=Bn.enlargeBox(Bn.squarifyBox(Bn.shiftBox(t,aH)),sH),i=[];for(let r=0;r<hI.length;r++)i.push(n[hI[r]].slice(0,2));return e.palmLandmarks=i,e}transformRawCoords(n,t,e,i){const r=Bn.getBoxSize(t),a=[r[0]/this.meshWidth,r[1]/this.meshHeight],s=n.map(d=>[a[0]*(d[0]-this.meshWidth/2),a[1]*(d[1]-this.meshHeight/2),d[2]]),o=Ci.buildRotationMatrix(e,[0,0]),l=s.map(d=>{const p=Ci.rotatePoint(d,o);return[...p,d[2]]}),u=Ci.invertTransformMatrix(i),c=[...Bn.getBoxCenter(t),1],h=[Ci.dot(c,u[0]),Ci.dot(c,u[1])];return l.map(d=>[d[0]+h[0],d[1]+h[1],d[2]])}async estimateHand(n,t){const e=this.shouldUpdateRegionsOfInterest();if(e===!0){const L=await this.boundingBoxDetector.estimateHandBounds(n);if(L===null)return n.dispose(),this.regionsOfInterest=[],null;this.updateRegionsOfInterest(L,!0),this.runsWithoutHandDetector=0}else this.runsWithoutHandDetector++;const i=this.regionsOfInterest[0],r=Ci.computeRotation(i.palmLandmarks[oH],i.palmLandmarks[lH]),a=Bn.getBoxCenter(i),s=[a[0]/n.shape[2],a[1]/n.shape[1]],o=ca.image.rotateWithOffset(n,r,0,s),l=Ci.buildRotationMatrix(-r,a),u=e?this.getBoxForPalmLandmarks(i.palmLandmarks,l):i,c=Bn.cutBoxFromImageAndResize(u,o,[this.meshWidth,this.meshHeight]),h=c.div(255);c.dispose(),o.dispose();let d;if(ca.getBackend()==="webgl"){const L=ca.env().get("WEBGL_PACK_DEPTHWISECONV");ca.env().set("WEBGL_PACK_DEPTHWISECONV",!0),d=this.meshDetector.predict(h),ca.env().set("WEBGL_PACK_DEPTHWISECONV",L)}else d=this.meshDetector.predict(h);const[p,f]=d;h.dispose();const m=p.dataSync()[0];if(p.dispose(),m<t.minConfidence)return f.dispose(),this.regionsOfInterest=[],null;const g=ca.reshape(f,[-1,3]),v=g.arraySync();f.dispose(),g.dispose();const b=this.transformRawCoords(v,u,r,l),w=this.getBoxForHandLandmarks(b);this.updateRegionsOfInterest(w,!1);const S={landmarks:b,confidence:m,box:{topLeft:w.startPoint,bottomRight:w.endPoint}};return S}calculateLandmarksBoundingBox(n){const t=n.map(a=>a[0]),e=n.map(a=>a[1]),i=[Math.min(...t),Math.min(...e)],r=[Math.max(...t),Math.max(...e)];return{startPoint:i,endPoint:r}}updateRegionsOfInterest(n,t){if(t)this.regionsOfInterest=[n];else{const e=this.regionsOfInterest[0];let i=0;if(e!=null&&e.startPoint!=null){const[r,a]=n.startPoint,[s,o]=n.endPoint,[l,u]=e.startPoint,[c,h]=e.endPoint,d=Math.max(r,l),p=Math.max(a,u),f=Math.min(s,c),m=Math.min(o,h),g=(f-d)*(m-p),v=(s-r)*(o-a),b=(c-l)*(h-a);i=g/(v+b-g)}this.regionsOfInterest[0]=i>nH?e:n}}shouldUpdateRegionsOfInterest(){const n=this.regionsOfInterest.length;return n!==this.maxHandsNumber||this.runsWithoutHandDetector>=this.maxContinuousChecks}}cI.HandPipeline=uH});var fI=ge(Ip=>{const ha=kt(),cH=nI(),Ap=rI(),hH=dI();async function dH(n){return ha.loadGraphModel(n,{fromTFHub:n.includes("tfhub.dev")})}async function pH(n){return ha.loadGraphModel(n,{fromTFHub:n.includes("tfhub.dev")})}async function fH(n){return ha.util.fetch(n).then(t=>t.json())}async function mH(n){const[t,e,i]=await Promise.all([fH(n.detector.anchors),dH(n.detector.modelPath),pH(n.skeleton.modelPath)]),r=new cH.HandDetector(e,n.inputSize,n.inputSize,t,n.iouThreshold,n.scoreThreshold),a=new hH.HandPipeline(r,i,n.inputSize,n.inputSize,n.skipFrames,n.minConfidence),s=new pI(a);return s}Ip.load=mH;class pI{constructor(n){this.pipeline=n}static getAnnotations(){return Ap.MESH_ANNOTATIONS}async estimateHands(n,t){const e=ha.tidy(()=>(n instanceof ha.Tensor||(n=ha.browser.fromPixels(n)),n.toFloat().expandDims(0))),i=await this.pipeline.estimateHand(e,t);if(e.dispose(),!i)return[];const r={};for(const a of Object.keys(Ap.MESH_ANNOTATIONS))r[a]=Ap.MESH_ANNOTATIONS[a].map(s=>i.landmarks[s]);return[{confidence:i.confidence||0,box:i.box?[i.box.topLeft[0],i.box.topLeft[1],i.box.bottomRight[0]-i.box.topLeft[0],i.box.bottomRight[1]-i.box.topLeft[1]]:0,landmarks:i.landmarks,annotations:r}]}}Ip.HandPose=pI});var mI=ge(gH=>{xp(gH,{default:()=>vH});var vH={face:{enabled:!0,detector:{modelPath:"../models/blazeface/model.json",inputSize:128,maxFaces:10,skipFrames:5,minConfidence:.8,iouThreshold:.3,scoreThreshold:.75},mesh:{enabled:!0,modelPath:"../models/facemesh/model.json",inputSize:192},iris:{enabled:!0,modelPath:"../models/iris/model.json",inputSize:192},age:{enabled:!0,modelPath:"../models/ssrnet-age/imdb/model.json",inputSize:64,skipFrames:5},gender:{enabled:!0,modelPath:"../models/ssrnet-gender/imdb/model.json"}},body:{enabled:!0,modelPath:"../models/posenet/model.json",inputResolution:257,outputStride:16,maxDetections:5,scoreThreshold:.75,nmsRadius:20},hand:{enabled:!0,inputSize:256,skipFrames:5,minConfidence:.8,iouThreshold:.3,scoreThreshold:.75,detector:{anchors:"../models/handdetect/anchors.json",modelPath:"../models/handdetect/model.json"},skeleton:{modelPath:"../models/handskeleton/model.json"}}}});var SI=ge(Zn=>{const Tp=kt(),gI=SL(),Jo=IL(),vI=eI(),yI=fI(),bI=mI().default,zn={facemesh:null,blazeface:null,ssrnet:null,iris:null};function wI(...n){const t=e=>e&&typeof e=="object";return n.reduce((e,i)=>(Object.keys(i||{}).forEach(r=>{const a=e[r],s=i[r];Array.isArray(a)&&Array.isArray(s)?e[r]=a.concat(...s):t(a)&&t(s)?e[r]=wI(a,s):e[r]=s}),e),{})}async function yH(n,t){const e=wI(bI,t);e.body.enabled&&!zn.posenet&&(zn.posenet=await vI.load(e.body)),e.hand.enabled&&!zn.handpose&&(zn.handpose=await yI.load(e.hand)),e.face.enabled&&!zn.facemesh&&(zn.facemesh=await gI.load(e.face)),e.face.age.enabled&&await Jo.loadAge(e),e.face.gender.enabled&&await Jo.loadGender(e),Tp.engine().startScope();let i=[];e.body.enabled&&(i=await zn.posenet.estimateMultiplePoses(n,e.body));let r=[];e.hand.enabled&&(r=await zn.handpose.estimateHands(n,e.hand));const a=[];if(e.face.enabled){const s=await zn.facemesh.estimateFaces(n,e.face);for(const o of s){const l=e.face.age.enabled||e.face.gender.enabled?await Jo.predict(o.image,e):{};o.image.dispose();const u=o.annotations.leftEyeIris&&o.annotations.rightEyeIris?Math.max(o.annotations.leftEyeIris[3][0]-o.annotations.leftEyeIris[1][0],o.annotations.rightEyeIris[3][0]-o.annotations.rightEyeIris[1][0]):0;a.push({confidence:o.confidence,box:o.box,mesh:o.mesh,annotations:o.annotations,age:l.age,gender:l.gender,iris:u!==0?Math.trunc(100*11.7/u)/100:0})}}return Tp.engine().endScope(),{face:a,body:i,hand:r}}Zn.detect=yH;Zn.defaults=bI;Zn.models=zn;Zn.facemesh=gI;Zn.ssrnet=Jo;Zn.posenet=vI;Zn.handpose=yI;Zn.tf=Tp});export default SI();
|
|
/*! *****************************************************************************
|
|
Copyright (c) Microsoft Corporation. All rights reserved.
|
|
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
|
|
this file except in compliance with the License. You may obtain a copy of the
|
|
License at http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
|
KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
|
|
WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
|
|
MERCHANTABLITY OR NON-INFRINGEMENT.
|
|
|
|
See the Apache Version 2.0 License for specific language governing permissions
|
|
and limitations under the License.
|
|
***************************************************************************** */
|
|
/**
|
|
* @license
|
|
* Copyright 2017 Google LLC. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2018 Google LLC
|
|
*
|
|
* Use of this source code is governed by an MIT-style
|
|
* license that can be found in the LICENSE file or at
|
|
* https://opensource.org/licenses/MIT.
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2018 Google LLC. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2018 Google LLC. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2019 Google LLC
|
|
*
|
|
* Use of this source code is governed by an MIT-style
|
|
* license that can be found in the LICENSE file or at
|
|
* https://opensource.org/licenses/MIT.
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2019 Google LLC. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2019 Google LLC. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2020 Google Inc. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2020 Google LLC
|
|
*
|
|
* Use of this source code is governed by an MIT-style
|
|
* license that can be found in the LICENSE file or at
|
|
* https://opensource.org/licenses/MIT.
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2020 Google LLC. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2020 Google LLC. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 (the License);
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an AS IS BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
* =============================================================================
|
|
*/
|
|
/**
|
|
* @license
|
|
* Copyright 2018 Google LLC. All Rights Reserved.
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
* =============================================================================
|
|
*/
|
|
/** @license See the LICENSE file. */
|
|
//# sourceMappingURL=human.esm.js.map
|