https://cdn.vidwud.com/web/js/cjs/browser/tfjs-2.6.0.js

1/**
2 * @license
3 * Copyright 2020 Google LLC. All Rights Reserved.
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 * =============================================================================
16 */
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"+t)}return _g[e][t]}function Og(e){return Fg(e,"int32")}function Mg(e,t){if(e.dtype===t.dtype)return[e,t];var n=Fg(e.dtype,t.dtype);return[e.cast(n),t.cast(n)]}function Lg(e,t){Ev(e.dtype===t.dtype,(function(){return"The dtypes of the first("+e.dtype+") and second("+t.dtype+") input must match"}))}function zg(e,t){return t.some((function(t){return t.id===e.id}))}function Bg(e){var t=[];return function e(t,n,r){if(null==t)return;if(t instanceof Ig)return void n.push(t);if(a=t,!Array.isArray(a)&&"object"!=typeof a)return;var a;var i=t;for(var o in i){var s=i[o];r.has(s)||(r.add(s),e(s,n,r))}}(e,t,new Set),t}var Pg={__proto__:null,makeTypesMatch:Mg,assertTypesMatch:Lg,isTensorInList:zg,getTensorsInContainer:Bg},Wg=function(){function e(){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 e.prototype.dispose=function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()},e}(),Vg=function(){function e(e){this.ENV=e,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Wg}var t=e.prototype;return t.ready=function(){var e=Gm(regeneratorRuntime.mark((function e(){var t,n,r;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null==this.pendingBackendInit){e.next=2;break}return e.abrupt("return",this.pendingBackendInit.then((function(){})));case 2:if(null==this.backendInstance){e.next=4;break}return e.abrupt("return");case 4:t=this.getSortedBackends(),n=0;case 6:if(!(n<t.length)){e.next=18;break}return r=t[n],e.next=10,this.initializeBackend(r).success;case 10:if(!e.sent){e.next=15;break}return e.next=14,this.setBackend(r);case 14:return e.abrupt("return");case 15:n++,e.next=6;break;case 18:throw new Error("Could not initialize any backends, all backend initializations failed.");case 19:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}(),t.backendNames=function(){return Object.keys(this.registryFactory)},t.findBackend=function(e){if(!(e in this.registry)){if(!(e in this.registryFactory))return null;if(this.initializeBackend(e).asyncInit)return null}return this.registry[e]},t.findBackendFactory=function(e){return e in this.registryFactory?this.registryFactory[e].factory:null},t.registerBackend=function(e,t,n){return void 0===n&&(n=1),e in this.registryFactory?(console.warn(e+" backend was already registered. 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17n.forEach((function(e){a+="complex64"===e.dtype?3:1}));var i=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],o=r-t-a-i;if(o>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+o+" data ids) after running '"+e+"'")},t.runKernelFunc=function(e,t,n,r,a,i,o){var s,u=this,l=[],c=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var p,h=this.state.numBytes,f=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var d,m,v=yv(r,this.backendName);if(null!=v)p=function(){var e=u.backend.numDataIds();d=v.kernelFunc({inputs:t,attrs:a,backend:u.backend});var n=Array.isArray(d)?d:[d];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,e,n);var s=n.map((function(e){var t=e.dataId,n=e.shape,r=e.dtype;return u.makeTensorFromDataId(t,n,r)}));if(c){var p=u.getTensorsForGradient(r,t,s);if(null==p){null==o&&(o=[]);var h=s.filter((function(e,t){return o[t]}));p=(i||[]).slice().concat(h)}l=u.saveTensorsForBackwardMode(p)}return s};else{var g=function(e){c&&(l=e.map((function(e){return u.keep(u.clone(e))})))};p=function(){var t=u.backend.numDataIds();d=u.tidy((function(){return e(u.backend,g)}));var n=Array.isArray(d)?d:[d];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(r,t,n),n}}return this.scopedRun((function(){return u.state.kernelDepth++}),(function(){return u.state.kernelDepth--}),(function(){u.ENV.getBool("DEBUG")||u.state.profiling?(m=u.profiler.profileKernel(r,t,(function(){return p()})),u.ENV.getBool("DEBUG")&&u.profiler.logKernelProfile(m),s=m.outputs):s=p()})),c&&this.addTapeNode(r,t,s,n,l,a),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-h,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-f,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(t).map((function(e){return null!=t[e]?t[e].shape:null})),outputShapes:s.map((function(e){return e.shape})),kernelTimeMs:m.timeMs,extraInfo:m.extraInfo}),Array.isArray(d)?s:s[0]},t.saveTensorsForBackwardMode=function(e){var t=this;return e.map((function(e){return t.keep(t.clone(e))}))},t.getTensorsForGradient=function(e,t,n){var r=bv(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(Ev(Array.isArray(t),(function(){return"saveAllInputs is true, expected inputs to be an array."})),a=Object.keys(t).map((function(e){return t[e]}))):a=i.map((function(e){return t[e]}));var s=n.filter((function(e,t){return o[t]}));return a.concat(s)}return null},t.makeTensor=function(e,t,n,r){if(null==e)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var a=e;"string"===n&&Yv(e[0])&&(a=e.map((function(e){return pg(e)})));var i=r.write(a,t,n),o=new Ig(t,n,i,this.nextTensorId());if(this.incRef(o,r),"string"===n){var s=this.state.tensorInfo.get(i),u=Xv(a);this.state.numBytes+=u-s.bytes,s.bytes=u}return o},t.makeTensorFromDataId=function(e,t,n,r){var a=new Ig(t,n=n||"float32",e,this.nextTensorId());return this.incRef(a,r),a},t.makeVariable=function(e,t,n,r){void 0===t&&(t=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new Dg(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name "+a.name+" was already registered");return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a},t.incRef=function(e,t){var n=this.state.tensorInfo.has(e.dataId)?this.state.tensorInfo.get(e.dataId).refCount:0;if(this.state.numTensors++,"string"===e.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==e.dtype&&"string"!==e.dtype&&(r=e.size*Kv(e.dtype)),this.state.tensorInfo.set(e.dataId,{backend:t||this.backend,dtype:e.dtype,shape:e.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(e.dataId).refCount++,e instanceof Dg||this.track(e)},t.disposeTensor=function(e){if(this.state.tensorInfo.has(e.dataId)){this.state.numTensors--,"string"===e.dtype&&this.state.numStringTensors--;var t=this.state.tensorInfo.get(e.dataId);t.refCount<=1?("complex64"!==e.dtype&&(this.state.numBytes-=t.bytes),this.state.numDataBuffers--,t.backend.disposeData(e.dataId),this.state.tensorInfo.delete(e.dataId)):this.state.tensorInfo.get(e.dataId).refCount--}},t.disposeVariables=function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}

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o=Zg(e,"forgetBias","basicLSTMCell"),s=Zg(t,"lstmKernel","basicLSTMCell"),u=Zg(n,"lstmBias","basicLSTMCell"),l=Zg(r,"data","basicLSTMCell"),c=Zg(a,"c","basicLSTMCell"),p=Zg(i,"h","basicLSTMCell"),h=tw([l,p],1),f=yb(h,s),d=fx(f,u),m=d.shape[0],v=d.shape[1]/4,g=[m,v],y=rw(d,[0,0],g),b=rw(d,[0,v],g),x=rw(d,[0,2*v],g),w=rw(d,[0,3*v],g),k=fx(vx(nw(y),aw(b)),vx(c,nw(fx(o,x))));return[k,vx(aw(k),nw(w))]}});var ow=$g({batchToSpaceND_:function(e,t,n){var r=Zg(e,"x","batchToSpaceND"),a=t.reduce((function(e,t){return e*t}));Ev(r.rank>=1+t.length,(function(){return"input rank is "+r.rank+" but should be > than blockShape.length "+t.length})),Ev(n.length===t.length,(function(){return"crops.length is "+n.length+" but should be equal to blockShape.length  "+t.length})),Ev(r.shape[0]%a==0,(function(){return"input tensor batch is "+r.shape[0]+" but is not divisible by the product of the elements of blockShape "+t.join(" * ")+" === "+a}));var i={x:r},o={blockShape:t,crops:n};return Gg.runKernelFunc((function(e){return e.batchToSpaceND(r,t,n)}),i,null,"BatchToSpaceND",o)}});function sw(e){return null==e?null:0===e.rank?gb(e,[e.size]):1===e.rank?e:2===e.rank?gb(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?gb(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}var uw=$g({batchNorm_:function(e,t,n,r,a,i){null==i&&(i=.001);var o,s,u=Zg(e,"x","batchNorm"),l=Zg(t,"mean","batchNorm"),c=Zg(n,"variance","batchNorm");null!=a&&(o=Zg(a,"scale","batchNorm")),null!=r&&(s=Zg(r,"offset","batchNorm")),Ev(l.rank===c.rank,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Ev(null==s||l.rank===s.rank,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Ev(null==o||l.rank===o.rank,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var p=function(e){return 0===e.rank||1===e.rank?gb(e,[1,1,1,e.size]):2===e.rank?gb(e,[1,1,e.shape[0],e.shape[1]]):3===e.rank?gb(e,[1,e.shape[0],e.shape[1],e.shape[2]]):e}(u),h={x:p,scale:o,offset:s,mean:l,variance:c},f={varianceEpsilon:i},d=Gg.runKernelFunc((function(e,t){return t([p,l,c,o]),e.batchNorm(p,sw(l),sw(c),sw(s),sw(o),i)}),h,null,"FusedBatchNorm",f);return gb(d,u.shape)}});var lw=$g({batchNorm2d_:function(e,t,n,r,a,i){var o,s,u=Zg(e,"x","batchNorm"),l=Zg(t,"mean","batchNorm"),c=Zg(n,"variance","batchNorm");return null!=a&&(o=Zg(a,"scale","batchNorm")),null!=r&&(s=Zg(r,"offset","batchNorm")),Ev(2===u.rank,(function(){return"Error in batchNorm2D: x must be rank 2 but got rank "+u.rank+"."})),Ev(2===l.rank||1===l.rank,(function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+l.rank+"."})),Ev(2===c.rank||1===c.rank,(function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank "+c.rank+"."})),null!=o&&Ev(2===o.rank||1===o.rank,(function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank "+o.rank+"."})),null!=s&&Ev(2===s.rank||1===s.rank,(function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."})),uw(u,l,c,s,o,i)}});var cw=$g({batchNorm3d_:function(e,t,n,r,a,i){var o,s,u=Zg(e,"x","batchNorm"),l=Zg(t,"mean","batchNorm"),c=Zg(n,"variance","batchNorm");return null!=a&&(o=Zg(a,"scale","batchNorm")),null!=r&&(s=Zg(r,"offset","batchNorm")),Ev(3===u.rank,(function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."})),Ev(3===l.rank||1===l.rank,(function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+l.rank+"."})),Ev(3===c.rank||1===c.rank,(function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank "+c.rank+"."})),null!=o&&Ev(3===o.rank||1===o.rank,(function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank "+o.rank+"."})),null!=s&&Ev(3===s.rank||1===s.rank,(function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."})),uw(u,l,c,s,o,i)}});var pw=$g({batchNorm4d_:function(e,t,n,r,a,i){var o,s,u=Zg(e,"x","batchNorm"),l=Zg(t,"mean","batchNorm"),c=Zg(n,"variance","batchNorm");return null!=a&&(o=Zg(a,"scale","batchNorm")),null!=r&&(s=Zg(r,"offset","batchNorm")),Ev(4===u.rank,(function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."})),Ev(4===l.rank||1===l.rank,(function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+l.rank+"."})),Ev(4===c.rank||1===c.rank,(function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank "+c.rank+"."})),null!=o&&Ev(4===o.rank||1===o.rank,(function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+o.rank+"."})),null!=s&&Ev(4===s.rank||1===s.rank,(function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."})),uw(u,l,c,s,o,i)}});var hw=$g({broadcastTo_:function(e,t){var n=Zg(e,"broadcastTo","x"),r=n.shape;if(t.some((function(e){return!(e>0)||e%1!=0})))throw new Error("broadcastTo(): Invalid broadcast shape ["+t+"].");if(t.length<n.rank)throw new Error("broadcastTo(): shape.length="+t.length+" < input.rank="+n.rank+".");if(t.length>n.rank){for(var a=n.shape.slice();a.length<t.length;)a.unshift(1);n=gb(n,a)}for(var i=n.shape,o=Array.from(t),s=t.length-1;s>=0;s--)if(i[s]===t[s])o[s]=1;else if(1!==n.shape[s])throw new Error("broadcastTo(): ["+r+"] cannot be broadcast to ["+t+"].");if(0===o.map((function(e,t){return e>1?t:-1})).filter((function(e){return e>=0})).length)return Zy(n);var u={x:n},l={shape:t,inputShape:i};return Gg.runKernelFunc((function(e){return e.tile(n,o)}),u,null,"BroadcastTo",l)}});var fw=$g({ceil_:function(e){var t=Zg(e,"x","ceil"),n={x:t};return Gg.runKernelFunc((function(e){return e.ceil(t)}),n,null,"Ceil")}});var dw=$g({clipByValue_:function(e,t,n){var r=Zg(e,"x","clipByValue");Ev(t<=n,(function(){return"Error in clip: min ("+t+") must be less than or equal to max ("+n+")."}));var a={x:r},i={clipValueMin:t,clipValueMax:n};return Gg.runKernelFunc((function(e,a){var i=e.clip(r,t,n);return a([r]),i}),a,null,"ClipByValue",i)}});var mw=$g({concat1d_:function(e){return tw(e,0)}});var vw=$g({concat2d_:function(e,t){return tw(e,t)}});var gw=$g({concat3d_:function(e,t){return tw(e,t)}});var yw=$g({concat4d_:function(e,t){return tw(e,t)}});var bw=$g({conv2d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NHWC"),void 0===i&&(i=[1,1]);var s=Zg(e,"x","conv2d"),u=Zg(t,"filter","conv2d"),l=s,c=!1;3===s.rank&&(c=!0,l=gb(s,[1,s.shape[0],s.shape[1],s.shape[2]])),Ev(4===l.rank,(function(){return"Error in conv2d: input must be rank 4, but got rank "+l.rank+"."})),Ev(4===u.rank,(function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."})),null!=o&&Ev(Ov(r),(function(){return"Error in conv2d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r

17+"."}));var p="NHWC"===a?l.shape[3]:l.shape[1];Ev(p===u.shape[2],(function(){return"Error in conv2d: depth of input ("+p+") must match input depth for filter "+u.shape[2]+"."})),Ev(Yx(n,i),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}));var h={x:l,filter:u},f={strides:n,pad:r,dataFormat:a,dilations:i,dimRoundingMode:o},d=Gg.runKernelFunc((function(e,t){var s=Jx(a),c=Vx(l.shape,u.shape,n,i,r,o,!1,s),p=e.conv2d(l,u,c);return t([l,u]),p}),h,null,"Conv2D",f);return c?gb(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var xw=$g({conv1d_:function(e,t,n,r,a,i,o){void 0===a&&(a="NWC"),void 0===i&&(i=1);var s=Zg(e,"x","conv1d"),u=Zg(t,"filter","conv1d"),l=s,c=!1;2===s.rank&&(c=!0,l=gb(s,[1,s.shape[0],s.shape[1]])),Ev(3===l.rank,(function(){return"Error in conv1d: input must be rank 3, but got rank "+l.rank+"."})),Ev(3===u.rank,(function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."})),null!=o&&Ev(Ov(r),(function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."})),Ev(l.shape[2]===u.shape[1],(function(){return"Error in conv1d: depth of input ("+l.shape[2]+") must match input depth for filter "+u.shape[1]+"."})),Ev(Yx(n,i),(function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+i+"'"})),Ev("NWC"===a,(function(){return"Error in conv1d: got dataFormat of "+a+" but only NWC is currently supported."}));var p=gb(u,[1,u.shape[0],u.shape[1],u.shape[2]]),h=gb(l,[l.shape[0],1,l.shape[1],l.shape[2]]),f=bw(h,p,[1,n],r,"NHWC",[1,i],o);return gb(f,c?[f.shape[2],f.shape[3]]:[f.shape[0],f.shape[2],f.shape[3]])}});var ww=$g({conv2DBackpropInput_:function(e,t,n,r,a,i,o){void 0===i&&(i="NHWC"),Ev(e.length===t.rank,(function(){return"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match"}));var s=e,u=t,l=!1;3===t.rank&&(l=!0,u=gb(t,[1,t.shape[0],t.shape[1],t.shape[2]]),s=[1,e[0],e[1],e[2]]),Ev(4===s.length,(function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+s.length+"."})),Ev(4===u.rank,(function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+u.rank})),Ev(4===n.rank,(function(){return"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank}));var c="NHWC"===i?s[3]:s[1],p="NHWC"===i?u.shape[3]:u.shape[1];Ev(c===n.shape[2],(function(){return"Error in conv2dDerInput: depth of input ("+c+") must match input depth for filter "+n.shape[2]+"."})),Ev(p===n.shape[3],(function(){return"Error in conv2dDerInput: depth of output ("+p+") must match output depth for filter "+n.shape[3]+"."})),null!=o&&Ev(Ov(a),(function(){return"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+a+"."}));var h={dy:u,filter:n},f={strides:r,pad:a,dataFormat:i,dimRoundingMode:o,inputShape:s},d=Gg.runKernelFunc((function(e,t){var l=Jx(i),c=Vx(s,n.shape,r,1,a,o,!1,l),p=e.conv2dDerInput(u,n,c);return t([u,n]),p}),h,null,"Conv2DBackpropInput",f);return l?gb(d,[d.shape[1],d.shape[2],d.shape[3]]):d}});var kw=$g({conv2dTranspose_:function(e,t,n,r,a,i){var o=Zg(e,"x","conv2dTranspose"),s=Zg(t,"filter","conv2dTranspose");return ww(n,o,s,r,a,"NHWC",i)}});var Sw=$g({conv3d_:function(e,t,n,r,a,i){void 0===a&&(a="NDHWC"),void 0===i&&(i=[1,1,1]);var o=Zg(e,"x","conv3d"),s=Zg(t,"filter","conv3d"),u=o,l=!1;4===o.rank&&(l=!0,u=gb(o,[1,o.shape[0],o.shape[1],o.shape[2],o.shape[3]])),Ev(5===u.rank,(function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."})),Ev(5===s.rank,(function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."})),Ev(u.shape[4]===s.shape[3],(function(){return"Error in conv3d: depth of input ("+u.shape[4]+") must match input depth for filter "+s.shape[3]+"."})),Ev(Yx(n,i),(function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"})),Ev("NDHWC"===a,(function(){return"Error in conv3d: got dataFormat of "+a+" but only NDHWC is currently supported."}));var c={x:u,filter:s},p={strides:n,pad:r,dataFormat:a,dilations:i},h=Gg.runKernelFunc((function(e,t){var a=Ux(u.shape,s.shape,n,i,r),o=e.conv3d(u,s,a);return t([u,s]),o}),c,null,"Conv3D",p);return l?gb(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var Nw=$g({conv3DBackpropInput_:function(e,t,n,r,a){Ev(e.length===t.rank,(function(){return"Length of inShape ("+e.length+") and rank of dy ("+t.rank+") must match"}));var i=e,o=t,s=!1;4===t.rank&&(s=!0,o=gb(t,[1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]]),i=[1,e[0],e[1],e[2],e[3]]);var u=i[4],l=o.shape[4];Ev(5===i.length,(function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+i.length+"."})),Ev(5===o.rank,(function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+o.rank})),Ev(5===n.rank,(function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank})),Ev(u===n.shape[3],(function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."})),Ev(l===n.shape[4],(function(){return"Error in conv3dDerInput: depth of output ("+l+") must match output depth for filter "+n.shape[4]+"."}));var c={dy:o},p={pad:a},h=Gg.runKernelFunc((function(e){var t=Ux(i,n.shape,r,1,a);return e.conv3dDerInput(o,n,t)}),c,null,"Conv3DBackpropInputV2",p);return s?gb(h,[h.shape[1],h.shape[2],h.shape[3],h.shape[4]]):h}});var Iw=$g({conv3dTranspose_:function(e,t,n,r,a){var i=Zg(e,"x","conv3dTranspose"),o=Zg(t,"filter","conv3dTranspose");return Nw(n,i,o,r,a)}});var Cw=$g({cos_:function(e){var t=Zg(e,"x","cos"),n={x:t};return Gg.runKernelFunc((function(e,n){var r=e.cos(t);return n([t]),r}),n,null,hv)}});var Rw=$g({cosh_:function(e){var t=Zg(e,"x","cosh"),n={x:t};return Gg.runKernelFunc((function(e,n){var r=e.cosh(t);return n([t]),r}),n,null,"Cosh")}});var Ew=$g({cumsum_:function(e,t,n,r){void 0===t&&(t=0),void 0===n&&(n=!1),void 0===r&&(r=!1);var a=Zg(e,"x","cumsum"),i={x:a},o={axis:t,exclusive:n,reverse:r};return Gg.runKernelFunc((function(e,i){var o=Cx([t],a.rank),s=a;null!=o&&(s=xb(a,o));var u=Ex(1,a.rank)[0],l=e.cumsum(s,u,n,r);

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0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,l=e.dimRoundingMode,c=e.b

17ias,p=e.activation,h=void 0===p?"linear":p,f=e.preluActivationWeights;if(h=h||"linear",!1===GN(Gg.state.gradientDepth,h)){var d=bw(t,n,r,a,o,u,l);return null!=c&&(d=fx(d,c)),UN(d,h,f)}var m=Zg(t,"x","conv2d"),v=Zg(n,"filter","conv2d"),g=m,y=!1;3===m.rank&&(y=!0,g=gb(m,[1,m.shape[0],m.shape[1],m.shape[2]])),Ev(4===g.rank,(function(){return"Error in fused conv2d: input must be rank 4, but got rank "+g.rank+"."})),Ev(4===v.rank,(function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+v.rank+"."})),null!=l&&Ev(Ov(a),(function(){return"Error in fused conv2d: pad must be an integer when using, dimRoundingMode "+l+" but got pad "+a+"."})),Ev(g.shape[3]===v.shape[2],(function(){return"Error in conv2d: depth of input ("+g.shape[3]+") must match input depth for filter "+v.shape[2]+"."})),Ev(Yx(r,u),(function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"})),Ev("NHWC"===o,(function(){return"Error in conv2d: got dataFormat of "+o+" but only NHWC is currently supported."}));var b,x,w=Vx(g.shape,v.shape,r,u,a,l);if(null!=c){var k=Mg(b=Zg(c,"bias","fused conv2d"),m);b=k[0],Mw(w.outShape,b.shape)}null!=f&&(x=Zg(f,"prelu weights","fused conv2d"));var S=function(e,t){var n=t[0],i=t[1],o=t[2],s=t[3],l=WN(e,o,h);Ev(Xx(u),(function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+u+"'"}));var c=[ww(i.shape,l,n,r,a),PN(i,l,n.shape,r,a)];if(null!=s){var p=VN(s,l);c.push(p)}return c},N=function(e){return e.fusedConv2d({input:g,filter:v,convInfo:w,bias:b,activation:h,preluActivationWeights:x})},I={x:g,filter:v,bias:b,preluActivationWeights:x},C={strides:r,pad:a,dataFormat:o,dilations:u,dimRoundingMode:l,activation:h};return null==c?vk((function(e,t,n){var r=Gg.runKernelFunc(N,I,null,"FusedConv2D",C);return n([t,e,r]),y&&(r=gb(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:S}}))(g,v):vk((function(e,t,n,r){var a=Gg.runKernelFunc(N,I,null,"FusedConv2D",C);return r([t,e,a,n]),y&&(a=gb(a,[a.shape[1],a.shape[2],a.shape[3]])),{value:a,gradFunc:S}}))(g,v,b)}});var HN=$g({depthwiseConv2dNativeBackpropFilter_:function(e,t,n,r){var a=e;3===e.rank&&(a=gb(e,[1,e.shape[0],e.shape[1],e.shape[2]]));var i=t;3===i.rank&&(i=gb(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var o={x:a,dy:i};return Gg.runKernelFunc((function(e){return e.depthwiseConv2DDerFilter(a,i,r)}),o,null,"DepthwiseConv2dNativeBackpropFilter")}});var qN=$g({depthwiseConv2dNativeBackpropInput_:function(e,t,n,r){var a=t,i=!1;3===t.rank&&(i=!0,a=gb(t,[1,t.shape[0],t.shape[1],t.shape[2]]));var o={dy:a},s=Gg.runKernelFunc((function(e){return e.depthwiseConv2DDerInput(a,n,r)}),o,null,"DepthwiseConv2dNativeBackpropInput");return i?gb(s,[s.shape[1],s.shape[2],s.shape[3]]):s}});var KN=$g({fusedDepthwiseConv2d_:function(e){var t=e.x,n=e.filter,r=e.strides,a=e.pad,i=e.dataFormat,o=void 0===i?"NHWC":i,s=e.dilations,u=void 0===s?[1,1]:s,l=e.dimRoundingMode,c=e.bias,p=e.activation,h=void 0===p?"linear":p,f=e.preluActivationWeights;if(!1===GN(Gg.state.gradientDepth,h)){var d=Tw(t,n,r,a,o,u,l);return null!=c&&(d=fx(d,c)),UN(d,h,f)}var m=Zg(t,"x","depthwiseConv2d"),v=Zg(n,"filter","depthwiseConv2d"),g=m,y=!1;3===m.rank&&(y=!0,g=gb(m,[1,m.shape[0],m.shape[1],m.shape[2]])),Ev(4===g.rank,(function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got rank "+g.rank+"."})),Ev(4===v.rank,(function(){return"Error in fused depthwiseConv2d: filter must be rank 4, but got rank "+v.rank+"."})),Ev(g.shape[3]===v.shape[2],(function(){return"Error in fused depthwiseConv2d: number of input channels ("+g.shape[3]+") must match the inChannels dimension in filter "+v.shape[2]+"."})),null==u&&(u=[1,1]),Ev(Yx(r,u),(function(){return"Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"})),null!=l&&Ev(Ov(a),(function(){return"Error in fused depthwiseConv2d: pad must be an integer when using dimRoundingMode "+l+" but got pad "+a+"."}));var b,x,w=Vx(g.shape,v.shape,r,u,a,l,!0);if(null!=c){var k=Mg(b=Zg(c,"bias","fused conv2d"),m);b=k[0],Mw(w.outShape,b.shape)}null!=f&&(x=Zg(f,"prelu weights","fused depthwiseConv2d"));var S=function(e,t){Ev(Xx(u),(function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+u+"'"}));

17var n=t[0],r=t[1],a=t[2],i=t[3],o=WN(e,a,h),s=qN(r.shape,o,n,w),l=HN(r,o,n.shape,w);return null!=i?[s,l,VN(b,o)]:[s,l]},N=function(e){return e.fusedDepthwiseConv2D({input:g,filter:v,convInfo:w,bias:b,activation:h,preluActivationWeights:x})},I={x:g,filter:v,bias:b,preluActivationWeights:x},C={strides:r,pad:a,dataFormat:o,dilations:u,dimRoundingMode:l,activation:h};return null==c?vk((function(e,t,n){var r=Gg.runKernelFunc(N,I,null,"FusedDepthwiseConv2D",C);return n([t,e,r]),y&&(r=gb(r,[r.shape[1],r.shape[2],r.shape[3]])),{value:r,gradFunc:S}}))(g,v):vk((function(e,t,n,r){var a=Gg.runKernelFunc(N,I,null,"FusedDepthwiseConv2D",C);return r([t,e,a,n]),y&&(a=gb(a,[a.shape[1],a.shape[2],a.shape[3]])),{value:a,gradFunc:S}}))(g,v,b)}});var XN=$g({fusedMatMul_:function(e){var t=e.a,n=e.b,r=e.transposeA,a=void 0!==r&&r,i=e.transposeB,o=void 0!==i&&i,s=e.bias,u=e.activation,l=void 0===u?"linear":u,c=e.preluActivationWeights;if(!1===GN(Gg.state.gradientDepth,l)){var p=yb(t,n,a,o);return null!=s&&(p=fx(p,s)),UN(p,l,c)}var h=Zg(t,"a","fused matMul"),f=Zg(n,"b","fused matMul"),d=Mg(h,f);h=d[0],f=d[1];var m=a?h.shape[h.rank-2]:h.shape[h.rank-1],v=o?f.shape[f.rank-1]:f.shape[f.rank-2],g=a?h.shape[h.rank-1]:h.shape[h.rank-2],y=o?f.shape[f.rank-2]:f.shape[f.rank-1],b=h.shape.slice(0,-2),x=f.shape.slice(0,-2),w=_v(b),k=_v(x);Ev(h.rank>=2&&f.rank>=2&&h.rank===f.rank,(function(){return"Error in fused matMul: inputs must have the same rank of at least 2, got ranks "+h.rank+" and "+f.rank+"."})),Ev(Fv(b,x),(function(){return"Error in fused matMul: outer dimensions ("+b+") and ("+x+") of Tensors with shapes "+h.shape+" and "+f.shape+" must match."})),Ev(m===v,(function(){return"Error in fused matMul: inner shapes ("+m+") and ("+v+") of Tensors with shapes "+h.shape+" and "+f.shape+" and transposeA="+a+" and transposeB="+o+" must match."}));var S,N,I=h.shape.slice(0,-2).concat([g,y]),C=gb(h,a?[w,m,g]:[w,g,m]),R=gb(f,o?[k,y,v]:[k,v,y]);if(null!=s){var E=Mg(S=Zg(s,"bias","fused 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We assume this was done on purpose, and we will not be expecting data to be passed to '+u+" during training"),n.push(pT(e.loss[u]))}}this.lossFunctions=n,this.feedOutputNames=[],this.feedOutputShapes=[],this.feedLossFns=[];for(var l=0;l<this.outputs.length;++l){var c=this.internalOutputShapes[l],p=this.outputNames[l];this.feedOutputNames.push(p),this.feedOutputShapes.push(c),this.feedLossFns.push(this.lossFunctions[l])}var h=[];this.metrics=e.metrics,this.metricsNames=["loss"],this.metricsTensors=[],CE("loss",(function(){for(var e=0;e<t.outputs.length;++e)if(-1===h.indexOf(e)){var n=t.lossFunctions[e];t.outputs.length>1&&(t.metricsTensors.push([n,e]),t.metricsNames.push(t.outputNames[e]+"_loss"))}}));var f=function(e,t){if(null==e||Array.isArray(e)&&0===e.length)return t.map((function(e){return[]}));var n;if("string"==typeof e||"function"==typeof e)n=[e];else{if(!Array.isArray(e)&&"object"!=typeof e)throw new TypeError("Type of metrics argument not understood. 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Did you set `model.trainable` without calling `model.compile()` afterwards?")},n.evaluate=function(e,t,n){void 0===n&&(n={});var r=null==n.batchSize?32:n.batchSize;$T(r);var a=this.standardizeUserDataXY(e,t,!0,r);try{var i=a[0].concat(a[1]);this.makeTestFunction();var o=this.testFunction;return qR(this.testLoop(o,i,r,n.verbose,n.steps))}finally{uD(a[0],e),uD(a[1],t)}},n.evaluateDataset=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.makeTestFunction(),e.abrupt("return",ZT(this,t,n));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.checkNumSamples=function(e,t,n,r){var a;if(void 0===r&&(r="steps"),null!=n){if(a=null,null!=t)throw new WR("If "+r+" is set, batchSize must be null or undefined.Got batchSize = "+t)}else{if(null==e)throw new WR("Either the input data should have a defined shape, or "+r+" shoud be specified.");a=Array.isArray(e)?e[0].shape[0]:e.shape[0]}return a},n.execute=function(e,t){if(Array.isArray(t)&&0===t.length)throw new WR("`outputs` is an empty Array, which is not allowed.");var n=Array.isArray(t),r=n?t:[t],a=this.retrieveSymbolicTensors(r),i=new DT;if(e instanceof Ig&&(e=[e]),Array.isArray(e)){if(e.length!==this.inputs.length)throw new WR("The number of inputs provided ("+e.length+") does not match the number of inputs of this model ("+this.inputs.length+").");for(var o=0;o<this.inputs.length;++o)i.add(this.inputs[o],e[o])}else for(var s,u=tv(this.inputs);!(s=u()).done;){var l=s.value,c=e[l.name];if(null==c)throw new WR("No value is provided for the model's input "+l.name);i.add(l,c)}var p=OT(a,i);return n?p:p[0]},n.retrieveSymbolicTensors=function(e){for(var t,n=GR(null,e.length),r=e.length,a=tv(this.layers);!(t=a()).done;){for(var i=t.value,o=Array.isArray(i.output)?i.output:[i.output],s=o.map((function(e){return e.name})),u=0;u<e.length;++u){var l=s.indexOf(e[u]);if(-1!==l&&(n[u]=o[l],r--),0===r)break}if(0===r)break}if(r>0){var c=[];

17throw n.forEach((function(t,n){null==t&&c.push(e[n])})),new WR("Cannot find SymbolicTensors for output name(s): "+JSON.stringify(c))}return n},n.predictLoop=function(e,t,n){var r=this;return void 0===t&&(t=32),void 0===n&&(n=!1),sx((function(){var a=r.checkNumSamples(e);if(n)throw new VR("Verbose predictLoop() is not implemented yet.");for(var i=nD(a,t),o=r.outputs.map((function(e){return[]})),s=function(t){sx((function(){var n=i[t][0],a=i[t][1],o=eD(e,n,a),s=[];if(Array.isArray(o))for(var u=0;u<o.length;++u)s.push({key:r.inputs[u],value:o[u]});else s.push({key:r.inputs[0],value:o});var l=new DT(s);return OT(r.outputs,l)})).forEach((function(e,t){return o[t].push(e)}))},u=0;u<i.length;++u)s(u);return qR(o.map((function(e){return tw(e,0)})))}))},n.predict=function(e,t){void 0===t&&(t={});var n=sD(e);hD(n,this.inputNames,this.feedInputShapes,!1);try{var r=null==t.batchSize?32:t.batchSize;return $T(r),this.predictLoop(n,r)}finally{uD(n,e)}},n.predictOnBatch=function(e){hD(e,this.inputNames,this.feedInputShapes,!0);var t=(Array.isArray(e)?e[0]:e).shape[0];return this.predictLoop(e,t)},n.standardizeUserDataXY=function(e,t,n,r){if(void 0===n&&(n=!0),null==this.optimizer_)throw new PR("You must compile a model before training/testing. Use LayersModel.compile(modelCompileArgs).");for(var a=[],i=0;i<this.feedOutputShapes.length;++i){var o=this.feedOutputShapes[i];this.feedLossFns[i]===oT?a.push(o.slice(0,o.length-1).concat([1])):a.push(o)}if(function(e,t,n){var r=eE(e.map((function(e){return e.shape[0]})));r.sort();var a=eE(t.map((function(e){return e.shape[0]})));if(a.sort(),r.length>1)throw new WR("All input Tensors (x) should have the same number of samples. Got array shapes: "+JSON.stringify(e.map((function(e){return e.shape}))));if(a.length>1)throw new WR("All target Tensors (y) should have the same number of samples. Got array shapes: "+JSON.stringify(t.map((function(e){return e.shape}))));if(r.length>0&&a.length>0&&!Fv(r,a))throw new WR("Input Tensors should have the same number of samples as target Tensors. Found "+r[0]+" input sample(s) and "+a[0]+" target sample(s).")}(e=pD(e,this.feedInputNames,this.feedInputShapes,!1,"input"),t=pD(t,this.feedOutputNames,a,!1,"target")),function(e,t,n){for(var r=[tT,sT,iT],a=0;a<e.length;++a){var i=e[a],o=t[a],s=n[a];if(null!=o){if(o===iT&&1===i.shape[i.shape.length-1])throw new WR("You are passing a target array of shape "+i.shape+" while using a loss 'categorical_crossentropy'. 'categorical_crossentropy'expects targets to be binary matrices (1s and 0s) of shape [samples, classes].");if(-1!==r.indexOf(o))for(var u=i.shape.slice(1),l=s.slice(1),c=0;c<u.length;++c){var p=u[c],h=l[c];if(null!=h&&p!==h)throw new WR("A target Tensor with shape "+i.shape+" was passed for an output of shape "+s+", while using a loss function that expects targets to have the same shape as the output.")}}}}(t,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&e[0].shape[0]%r!=0)throw new WR("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+e[0].shape[0]+" sample(s).");return[e,t]},n.standardizeUserData=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n,r,a,i,o){var s,u,l,c,p,h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(void 0===i&&(i=!0),s=this.standardizeUserDataXY(t,n,i,o),u=s[0],l=s[1],null==r){e.next=4;break}throw new Error("sample weight is not supported yet.");case 4:if(c=null,null==a){e.next=18;break}p=PT(a,this.outputNames),c=[],h=0;case 9:if(!(h<p.length)){e.next=18;break}return e.t0=c,e.next=13,WT(l[h],null,p[h]);case 13:e.t1=e.sent,e.t0.push.call(e.t0,e.t1);case 15:++h,e.next=9;break;case 18:return e.abrupt("return",[u,l,c]);case 19:case"end":return e.stop()}}),e,this)})));return function(t,n,r,a,i,o){return e.apply(this,arguments)}}(),n.testLoop=function(e,t,n,r,a){var i=this;return void 0===r&&(r=0),sx((function(){var o=i.checkNumSamples(t,n,a,"steps"),s=[];if(r>0)throw new VR("Verbose mode is not implemented yet.");if(null!=a)throw new VR("steps mode in testLoop() is not implemented yet");for(var u=nD(o,n),l=yS(ME(0,o)),c=0;c<u.length;++c){var p=u[c][0],h=u[c][1],f=BE(l,p,h-p),d=tD(t,f),m=e(d);if(0===c)for(var v=0;v<m.length;++v)s.push(sk(0));for(var g=0;g<m.length;++g){var y=m[g];s[g]=fx(s[g],vx(h-p,y))}}for(var b=0;b<s.length;++b)s[b]=mx(s[b],o);return s}))},n.getDedupedMetricsNames=function(){for(var e=this.metricsNames,t=[],n=0;n<e.length;++n){var r=e[n],a=r;if(HR(e,r)>1)a+="_"+HR(e.slice(0,n),r);t.push(a)}return t},n.makeTrainFunction=function(){var e=this;return function(t){var n=[],r=t.slice(0,e.inputs.length),a=t.slice(e.input

17s.length,e.inputs.length+e.outputs.length),i=t.slice(e.inputs.length+e.outputs.length,e.inputs.length+2*e.outputs.length),o=[],s=e.collectedTrainableWeights.map((function(e){return e.read()}));return[e.optimizer_.minimize((function(){for(var t=[],s=0;s<e.inputs.length;++s)t.push({key:e.inputs[s],value:r[s]});for(var u,l=new DT(t),c=OT(e.outputs,l,{training:!0}),p=0;p<e.lossFunctions.length;++p){var h=(0,e.lossFunctions[p])(a[p],c[p]);null!=i[p]&&(h=UT(h,i[p]));var f=Mk(h);n.push(f),u=0===p?h:fx(u,h)}for(var d=0;d<e.metricsTensors.length;++d){var m=void 0;if(e.outputs.length>1&&d<e.outputs.length)m=n[d];else{var v=e.metricsTensors[d][0],g=e.metricsTensors[d][1];m=Mk(v(a[g],c[g]))}lx(m),o.push(m)}return u=Mk(u),e.calculateLosses().forEach((function(e){u=fx(u,e)})),u}),!0,s)].concat(o)}},n.makeTestFunction=function(){var e=this;this.testFunction=function(t){return sx((function(){for(var n,r=[],a=t.slice(0,e.inputs.length),i=t.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],s=0;s<e.inputs.length;++s)o.push({key:e.inputs[s],value:a[s]});for(var u=new DT(o),l=OT(e.outputs,u),c=0;c<e.lossFunctions.length;++c){var p=e.lossFunctions[c],h=Mk(p(i[c],l[c]));n=0===c?h:fx(n,h),r.push(n)}for(var f=0;f<e.metricsTensors.length;++f){var d=e.metricsTensors[f][0],m=e.metricsTensors[f][1],v=Mk(d(i[m],l[m]));r.push(v)}return r}))}},n.fit=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n,r){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===r&&(r={}),e.abrupt("return",iD(this,t,n,r));case 2:case"end":return e.stop()}}),e,this)})));return function(t,n,r){return e.apply(this,arguments)}}(),n.fitDataset=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",qT(this,t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.trainOnBatch=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c,p,h;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.standardizeUserData(t,n);case 2:r=e.sent,a=r[0],i=r[1],o=this.makeTrainFunction(),s=o(a.concat(i)),u=[],l=tv(s);case 9:if((c=l()).done){e.next=17;break}return p=c.value,e.next=13,p.data();case 13:h=e.sent,u.push(h[0]);case 15:e.next=9;break;case 17:return ux(s),e.abrupt("return",qR(u));case 19:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.getNamedWeights=function(e){for(var t=[],n=null!=e&&e.trainableOnly,r=n?this.trainableWeights:this.weights,a=this.getWeights(n),i=0;i<r.length;++i)n&&!r[i].trainable||t.push({name:r[i].originalName,tensor:a[i]});return t},n.dispose=function(){var t=e.prototype.dispose.call(this);if(0===t.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var n=ox().numTensors;this.optimizer_.dispose(),t.numDisposedVariables+=n-ox().numTensors}return t},n.getLossIdentifiers=function(){var e;if("string"==typeof this.loss)e=XR(this.loss);else if(Array.isArray(this.loss)){for(var t,n=tv(this.loss);!(t=n()).done;){if("string"!=typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}e=this.loss.map((function(e){return XR(e)}))}else{var r=Object.keys(this.loss);e={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var s=o[i];if("string"!=typeof a[s])throw new Error("Serialization of non-string loss is not supported.");e[s]=XR(a[s])}}return e},n.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[XR(ST(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return XR(ST(e))}));var e={};for(var t in this.metrics)e[t]=XR(ST(this.metrics[t]));return e},n.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},n.loadTrainingConfig=function(e){if(null!=e.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=e.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=e.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var t,n,r=$A(TT(e.optimizer_config));if("string"==typeof e.loss)t=YR(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return YR(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=YR(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return YR(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=YR(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})},n.save=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n){var r,a,i,o,s,u,l,c,p;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!=typeof t){e.next=9;break}if(0!==(r=gy(t)).length){e.next=6;break}throw new WR("Cannot find any save handlers for URL '"+t+"'");case 6:if(!(r.length>1)){e.next=8;break}throw new WR("Found more than one ("+r.length+") save handlers for URL '"+t+"'");case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new WR("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");case 11:return e.next=13,ay(this.getNamedWeights(n));case 13:if(a=e.sent,!1,null,i=this.toJSON(null,!1),o={modelTopology:i,format:"layers-model",generatedBy:"TensorFlow.js tfjs-layers v2.6.0",convertedBy:null},!(null!=n&&n.includeOptimizer)||null==this.optimizer){e.next=34;break}return o.trainingConfig=this.getTrainingConfig(),u="optimizer",e.t0=vb,e.next=25,this.optimizer.getWeights();case 25:return e.t1=e.sent,e.t2=u,e.next=29,e.t0.encodeWeights.call(e.t0,e.t1,e.t2);case 29:l=e.sent,c=l.data,p=l.specs,(s=a.specs).push.apply(s,p),a.data=hy([a.data,c]);case 34:return null!=this.userDefinedMetadata&&(!0,NT(this.userDefinedMetadata,this.name,!0),o.userDefinedMetadata=this.userDefinedMetadata),o.weightData=a.data,o.weightSpecs=a.specs,e.abrupt("return",t.save(o));case 38:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),n.setUserDefinedMetadata=function(e){NT(e,this.name),this.userDefinedMetadata=e},n.getUserDefinedMetadata=function(){return this.userDefinedMetadata},Hm(t,[{key:"stopTraining",set:function(e){this.stopTraining_=e},get:function(){return this.stopTraining_}},{key:"optimizer",get:function(){return this.optimizer_},set:function(e){this.optimizer_!==e&&(this.optimizer_=e,this.isOptimizerOwned=!1)}}]),t}(function(e){function t(n){var r;if((r=e.call(this,{})||this).containerNodes=new Set,r.name=n.name,null==r.name){var a=r.getClassName().toLowerCase();r.name=NA(a)}if(r.supportsMasking=!1,r.trainable_=!0,Array.isArray(n.inputs)?r.input

17s=n.inputs.slice():r.inputs=[n.inputs],Array.isArray(n.outputs)?r.outputs=n.outputs.slice():r.outputs=[n.outputs],eE(r.inputs).length!==r.inputs.length)throw new WR("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+r.inputs.map((function(e){return e.name})));eE(r.outputs).length!==r.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+r.outputs.map((function(e){return e.name}))),r.inputLayers=[],r.inputLayersNodeIndices=[],r.inputLayersTensorIndices=[],r.outputLayers=[],r.outputLayersNodeIndices=[],r.outputLayersTensorIndices=[],r.layers=[],r.internalContainerRefs=[];for(var i,o=tv(r.outputs);!(i=o()).done;){var s=i.value,u=s.sourceLayer,l=s.nodeIndex,c=s.tensorIndex;r.outputLayers.push(u),r.outputLayersNodeIndices.push(l),r.outputLayersTensorIndices.push(c)}for(var p,h=tv(r.inputs);!(p=h()).done;){var f=p.value,d=f.sourceLayer,m=f.nodeIndex,v=f.tensorIndex;jR(0===m,"input layer has >1 nodes"),jR(0===v,"input layer has >1 tensors"),r.inputLayers.push(d),r.inputLayersNodeIndices.push(m),r.inputLayersTensorIndices.push(v)}r.inputNames=[],r.outputNames=[],r.feedInputShapes=[],r.feedInputNames=[],r.feedOutputNames=[];for(var g=0;g<r.inputLayers.length;g++){var y=r.inputLayers[g];if(!(y instanceof WA))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. Received inputs: "+n.inputs+". Input "+g+" (0-based) originates from layer type "+y.getClassName()+".");r.inputNames.push(y.name),r.feedInputShapes.push(y.batchInputShape),r.feedInputNames.push(y.name)}for(var b,x=tv(r.outputLayers);!(b=x()).done;){var w=b.value;r.outputNames.push(w.name)}r.internalInputShapes=r.inputs.map((function(e){return e.shape})),r.internalOutputShapes=r.outputs.map((function(e){return e.shape}));for(var k,S={},N={},I={},C={},R={},E=[],A=function e(n,a,i,o,s,u){null!=o&&null!=s&&null!=u||(o=n.sourceLayer,s=n.nodeIndex,u=n.tensorIndex);var l=o.inboundNodes[s];if(-1!==i.indexOf(l))throw new PR("The tensor "+n.name+' at layer "'+o.name+'" is part of a cycle.');if(-1===a.indexOf(l)){r.containerNodes.add(t.nodeKey(o,s)),o.id in R||(R[o.id]=Object.keys(R).length),-1===i.indexOf(l)&&i.push(l);for(var c=l.inboundLayers.length,p=0;p<c;p++){e(l.inputTensors[p],a,i,l.inboundLayers[p],l.nodeIndices[p],l.tensorIndices[p])}for(a.push(l);i.indexOf(l)>=0;)i.splice(i.indexOf(l),1);E.push(l)}},T=[],D=[],_=tv(r.outputs);!(k=_()).done;){A(k.value,T,D)}for(var F,O=tv(E.slice().reverse());!(F=O()).done;){var M=F.value;N[M.id]=M,M.id in S||(S[M.id]=0);var L=S[M.id],z=null==I[M.outboundLayer.id]?0:I[M.outboundLayer.id];L=Math.max(L,z),I[M.outboundLayer.id]=L,C[M.outboundLayer.id]=M.outboundLayer,S[M.id]=L;for(var B=0;B<M.inboundLayers.length;B++){var P=M.inboundLayers[B],W=M.nodeIndices[B],V=P.inboundNodes[W],U=null==S[V.id]?0:S[V.id];S[V.id]=Math.max(L+1,U),N[V.id]=V}}var G={};for(var j in S){var H=S[j];H in G||(G[H]=[]),G[H].push(N[j])}var q={};for(var K in I){var X=I[K];X in q||(q[X]=[]),q[X].push(C[K])}var Y=Object.keys(q).map((function(e){return parseInt(e,10)})).sort($R);r.layers=[];for(var J,Z=tv(Y);!(J=Z()).done;){var Q=q[J.value];Q.sort((function(e,t){var n=R[e.id],r=R[t.id];return n<r?-1:n>r?1:0}));for(var $,ee=tv(Q);!($=ee()).done;){var te=$.value;te instanceof t&&r.internalContainerRefs.push(te),r.layers.push(te)}}r.layersByDepth=q,Y=Object.keys(G).map((function(e){return parseInt(e,10)})).sort($R);for(var ne,re=r.inputs.slice(),ae=[],ie=tv(Y);!(ne=ie()).done;)for(var oe,se=tv(G[ne.value]);!(oe=se()).done;){var ue=oe.value,le=ue.outboundLayer;if(null!=le){for(var ce,pe=tv(ue.inputTensors);!(ce=pe()).done;){var he=ce.value;if(-1===re.indexOf(he))throw new PR("Graph disconnected: cannot obtain value for tensor "+he+' at layer "'+le.name+'". The following previous layers were accessed without issue: '+ae)}for(var fe,de=tv(ue.outputTensors);!(fe=de()).done;){var me=fe.value;re.push(me)}ae.push(le.name)}}r.nodesByDepth=G;for(var ve,ge=r.layers.map((function(e){return e.name})),ye=function(){var e=ve.value,t=ge.filter((function(t){return t===e})).length;if(1!==t)throw new PR('The name "'+e+'" is used '+t+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(ge))},be=tv(ge);!(ve=be()).done;)ye();return r.outboundNodes=[],r.inboundNodes=[],new LA({outboundLayer:Qm(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:r.inputs,outputTensors:r.outputs,inputMasks:r.inputs.map((function(e){return null})),outputMasks:r.outputs.map((function(e){return null})),inputShapes:r.inputs.map((function(e){return e.shape})),outputShapes:r.outputs.map((function(e){return e.shape}))}),r.built=!0,r._refCount=1,r}

17qm(t,e);var n=t.prototype;return n.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Container '"+this.name+"' is already disposed.")},n.dispose=function(){this.assertNotDisposed();var e={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount){for(var t,n=tv(this.layers);!(t=n()).done;){var r=t.value;e.numDisposedVariables+=r.dispose().numDisposedVariables}for(var a,i=tv(this.internalContainerRefs);!(a=i()).done;){var o=a.value;e.numDisposedVariables+=o.dispose().numDisposedVariables}}return e.refCountAfterDispose=this._refCount,e},n.loadWeights=function(e,t){void 0===t&&(t=!0);for(var n,r={},a=0,i=tv(this.layers);!(n=i()).done;)for(var o,s=tv(n.value.weights);!(o=s()).done;){var u=o.value;if(null!=r[u.originalName])throw new WR("Duplicate weight name: "+u.originalName);r[u.originalName]=u,a++}var l=[];for(var c in e){var p=c;if(null==r[c]){var h=c.split("/");p=h.slice(0,-2).concat([h[h.length-1]]).join("/")}if(null!=r[p])l.push([r[p],e[c]]);else if(t)throw new WR("Provided weight data has no target variable: "+c);delete r[p]}if(t){var f=[];for(var d in r)f.push(d);if(f.length>0)throw new WR(f.length+" of "+a+" weights are not set: "+f)}_A(l)},n.updatedConfig=function(){var e=this.getConfig(),t={};return t.className=this.getClassName(),t.config=e,t.kerasVersion="tfjs-layers 2.6.0",t.backend="TensorFlow.js",t},n.toJSON=function(e,t){void 0===t&&(t=!0);var n=function e(t,n){if(null==t)return null;if("string"==typeof t)return XR(t);if("number"==typeof t||"boolean"==typeof t)return t;if(t instanceof Array){for(var r=[],a=t.length,i=0;i<a;++i){var o=t[i];AT(n,i,o)?r.push(o):r.push(e(o,n))}return r}for(var s={},u=0,l=Object.keys(t);u<l.length;u++){var c=l[u],p=t[c],h=XR(c);s[h]="name"!==c&&"className"!==c||"string"!=typeof p?e(p,c):p}return s}(this.updatedConfig());return t?JSON.stringify(n):n},n.call=function(e,t){var n=this;return sx((function(){e=KR(e);for(var r=new DT,a=0;a<n.inputs.length;++a)r.add(n.inputs[a],e[a]);return OT(n.outputs,r,t)}))},n.computeMask=function(e,t){var n=this;return sx((function(){var r;return e=KR(e),r=null==t?GR(null,e.length):KR(t),n.runInternalGraph(e,r)[1]}))},n.computeOutputShape=function(e){var t=CA(e);if(t.length!==this.inputLayers.length)throw new WR("Invalid inputShape argument "+e+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<t.length;r++){var a=this.inputLayers[r],i=t[r];n[a.name+"_0_0"]=i}var o=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort($R);if(o.length>1)for(var s,u=tv(o);!(s=u()).done;)for(var l,c=s.value,p=tv(this.nodesByDepth[c]);!(l=p()).done;){var h=l.value,f=h.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(f.id)){for(var d=[],m=0;m<h.inboundLayers.length;m++){var v=h.inboundLayers[m],g=h.nodeIndices[m],y=h.tensorIndices[m],b=n[v.name+"_"+g+"_"+y];d.push(b)}for(var x=CA(f.computeOutputShape(qR(d))),w=f.inboundNodes.indexOf(h),k=0;k<x.length;k++){n[f.name+"_"+w+"_"+k]=x[k]}}}for(var S=[],N=[],I=0;I<this.outputLayers.length;I++){var C=this.outputLayers[I],R=this.outputLayersNodeIndices[I],E=this.outputLayersTensorIndices[I],A=C.name+"_"+R+"_"+E;N.push(A)}for(var T=0;T<N.length;T++){var D=N[T];jR(D in n),S.push(n[D])}return qR(S)},n.runInternalGraph=function(e,t){null==t&&(t=GR(null,e.length));for(var n={},r=0;r<this.inputs.length;++r){var a=this.inputs[r],i=e[r],o=t[r];n[a.id]=[i,o]}for(var s,u=tv(Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort($R));!(s=u()).done;)for(var l,c=s.value,p=tv(this.nodesByDepth[c]);!(l=p()).done;){for(var h,f=l.value,d=f.outboundLayer,m=f.inputTensors,v=f.outputTensors,g=new Array,y=tv(m);!(h=y()).done;){var b=h.value;b.id in n&&g.push(n[b.id])}if(g.length===m.length){var x={},w=void 0,k=void 0,S=void 0,N=void 0;if(null!=f.callArgs&&(x=f.callArgs),1===g.length){var I=g[0],C=I[0],R=I[1];null==x.mask&&(x.mask=R),S=KR(d.call(C,x)),N=KR(d.computeMask(C,R)),w=[C],k=[R]}else w=g.map((function(e){return e[0]})),k=g.map((function(e){return e[1]})),null==x.mask&&(x.mask=k),S=KR(d.call(w,x)),N=KR(d.computeMask(w,k));if(d.activityRegularizer)throw new VR("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var E=0;E<v.length;++E){var A=v[E],T=S[E],D=N[E];n[A.id]=[T,D]}}}for(var _,F=[],O=[],M=[],L=tv(this.outputs);!(_=L()).done;){var z=_.value;jR(z.id in n,"Could not compute output "+z.name+" : "+z.id);var B=n[z.id],P=B[0],W=B[1];M.push(P.shape),F.push(P),O.push(W)}return[F,O,M]},n.buildNodeConversionMap=function(e){for(var n,r,a={},i=tv(this.layers);!(r=i()).done;){var o=r.value;n=o instanceof t?1:0;for(var s=0;s<o.inboundNodes.length;s++){var u=t.nodeKey(o,s);this.containerNodes.has(u)&&(a[u]=n,n+=1)}}return a},n.getLayer=function(e,t){if(null!=t){if(this.layers.length<=t)throw new WR("Was asked to retrieve layer at index "+t+", but model only has "+this.layers.length+" layer(s).");return this.layers[t]}if(null==e)throw new WR("Provide either a layer name or layer index");for(var n,r=tv(this.layers);!(n=r()).done;){var a=n.value;if(a.name===e)return a}throw new WR("No such layer: "+e)},n.calculateLosses=function(){var e=this;

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array of numbers, but got "+t.sharedAxes);n.sharedAxes=[t.sharedAxes]}return n}qm(t,e);var n=t.prototype;return n.build=function(e){var t=(e=EA(e)).slice(1);if(null!=this.sharedAxes)for(var n,r=tv(this.sharedAxes);!(n=r()).done;){t[n.value-1]=1}this.alpha=this.addWeight("alpha",t,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var a={};if(null!=this.sharedAxes)for(var i=1;i<e.length;++i)a[i]=e[i];this.inputSpec=[new FA({ndim:e.length,axes:a})],this.built=!0},n.call=function(e,t){return e=RA(e),tS(e,this.alpha.read())},n.getConfig=function(){var t={alphaInitializer:yA(this.alphaInitializer),alphaRegularizer:GD(this.alphaRegularizer),alphaConstraint:fE(this.alphaConstraint),sharedAxes:this.sharedAxes},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);XD.className="PReLU",Zb(XD);var YD=function(e){function t(t){var n;if((n=e.call(this,null==t?{}:t)||this).DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new VR("Non-default alpha value ("+t.alpha+") is not supported by the ELU layer yet.");

17return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=RA(e);return Vw(n)},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);YD.className="ELU",Zb(YD);var JD=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_THETA=1,null==t&&(t={}),n.theta=null==t.theta?n.DEFAULT_THETA:t.theta,n}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=RA(e);return n.mul(LE(n.greater(this.theta),"float32"))},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={theta:this.theta},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);JD.className="ThresholdedReLU",Zb(JD);var ZD=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).DEFAULT_AXIS=1,null==t&&(t={}),n.softmax=(new FD).apply,n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=RA(e);return this.softmax(n,this.axis)},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);function QD(e,t,n){if("number"==typeof e)return GR(e,t);if(e.length!==t)throw new WR("The "+n+" argument must be an integer or tuple of "+t+" integers. Received: "+e.length+" elements.");for(var r=0;r<t;++r){var a=e[r];if((i=a)!==parseInt(i.toString(),10))throw new WR("The "+n+" argument must be an integer or tuple of "+t+" integers. Received: "+JSON.stringify(e)+" including a non-integer number "+a)}return e;var i}function $D(e,t,n,r,a){return void 0===a&&(a=1),null==e?e:(i="same"===n?e:e-(t+(t-1)*(a-1))+1,Math.floor((i+r-1)/r));var i}function e_(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+OE([n-t,0]);else{if("same"!==r)throw new WR("Unsupport padding mode: "+r+".");e*=t}return e}function t_(e,t){return sx((function(){return kE(t),"channelsFirst"===t?xb(e,[0,2,3,1]):e}))}function n_(e,t){return sx((function(){return kE(t),"channelsFirst"===t?xb(e,[0,2,3,4,1]):e}))}function r_(e,t,n,r,a,i,o){return void 0===r&&(r=1),void 0===a&&(a="valid"),void 0===o&&(o=1),sx((function(){if(null==i&&(i="channelsLast"),kE(i),3!==e.shape.length)throw new WR("The input of a conv1dWithBias operation should be 3, but is "+e.shape.length+" instead.");if(3!==t.shape.length)throw new WR("The kernel for a conv1dWithBias operation should be 3, but is "+t.shape.length+" instead");if(null!=n&&1!==n.shape.length)throw new WR("The bias for a conv1dWithBias operation should be 1, but is "+t.shape.length+" instead");if("channelsFirst"===i&&(e=xb(e,[0,2,1])),"causal"===a)throw new VR("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var s=xw(e,t,r,"same"===a?"same":"valid","NWC",o);return null!=n&&(s=YE(s,n)),s}))}function a_(e,t,n,r,a,i,o,s){return void 0===r&&(r=[1,1]),void 0===a&&(a="valid"),void 0===s&&(s=null),sx((function(){if(null==i&&(i="channelsLast"),kE(i),3!==e.rank&&4!==e.rank)throw new WR("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+e.rank+".");if(3!==t.rank&&4!==t.rank)throw new WR("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+e.rank+".");var u=t_(e,i);if("causal"===a)throw new VR("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return u=jN({x:u,filter:t,strides:r,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:n,activation:s}),"channelsFirst"===i&&(u=xb(u,[0,3,1,2])),u}))}function i_(e,t,n,r,a,i,o){return void 0===r&&(r=[1,1,1]),void 0===a&&(a="valid"),sx((function(){if(null==i&&(i="channelsLast"),kE(i),4!==e.rank&&5!==e.rank)throw new WR("conv3dWithBias expects input to be of rank 4 or 5, but received "+e.rank+".");if(4!==t.rank&&5!==t.rank)throw new WR("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+e.rank+".");var s=n_(e,i);if("causal"===a)throw new VR("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return s=Sw(s,t,r,"same"===a?"same":"valid","NDHWC",o),null!=n&&(s=YE(s,n)),"channelsFirst"===i&&(s=xb(s,[0,4,1,2,3])),s}))}ZD.className="Softmax",Zb(ZD);var o_=function(e){function t(n,r){var a;if((a=e.call(this,r)||this).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",t.verifyArgs(r),a.rank=n,aE(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new VR("Convolution layer for rank other than 1, 2, or 3 ("+

17a.rank+") is not implemented yet.");if(a.kernelSize=QD(r.kernelSize,n,"kernelSize"),a.strides=QD(null==r.strides?1:r.strides,n,"strides"),a.padding=null==r.padding?"valid":r.padding,SE(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,kE(a.dataFormat),a.activation=BD(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=bA(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=mE(r.biasConstraint),a.biasRegularizer=HD(r.biasRegularizer),a.activityRegularizer=HD(r.activityRegularizer),a.dilationRate=QD(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new WR("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(a.dilationRate));if(2===a.rank){if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate];else if(2!==a.dilationRate.length)throw new WR("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(a.dilationRate))}else if(3===a.rank)if("number"==typeof a.dilationRate)a.dilationRate=[a.dilationRate,a.dilationRate,a.dilationRate];else if(3!==a.dilationRate.length)throw new WR("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(a.dilationRate));return a}return qm(t,e),t.verifyArgs=function(e){if(jR("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!=typeof e.kernelSize&&!rE(e.kernelSize,"number",1,3))throw new WR("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 t={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:LD(this.activation),useBias:this.useBias,biasInitializer:yA(this.biasInitializer),biasRegularizer:GD(this.biasRegularizer),activityRegularizer:GD(this.activityRegularizer),biasConstraint:fE(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA),s_=function(e){function t(n,r){var a;return(a=e.call(this,n,r)||this).kernel=null,t.verifyArgs(r),a.filters=r.filters,aE(a.filters,"filters"),a.kernelInitializer=bA(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=mE(r.kernelConstraint),a.kernelRegularizer=HD(r.kernelRegularizer),a}qm(t,e);var n=t.prototype;return n.build=function(e){var t;e=EA(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new WR("The channel dimension of the input should be defined. Found "+e[n]);var r=e[n],a=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",a,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:(t={},t[n]=r,t)}],this.built=!0},n.call=function(e,t){var n=this;return sx((function(){var t;e=RA(e);var r=null==n.bias?null:n.bias.read(),a=iE(n.activation.getClassName());if(null!=a&&2===n.rank)t=a_(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=r_(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=a_(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new VR("convolutions greater than 3D are not implemented yet.");t=i_(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))},n.computeOutputShape=function(e){e=EA(e);for(var t=[],n="channelsLast"===this.dataFormat?e.slice(1,e.length-1):e.slice(2),r=0;r<n.length;++r){var a=$D(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);t.push(a)}var i=[e[0]];return"channelsLast"===this.dataFormat?(i=i.concat(t)).push(this.filters):(i.push(this.filters),i=i.concat(t)),i},n.getConfig=function(){var t={filters:this.filters,kernelInitializer:yA(this.kernelInitializer),kernelRegularizer:GD(this.kernelRegularizer),kernelConstraint:fE(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.verifyArgs=function(e){if(!("filters"in e)||"number"!=typeof e.filters||e.filters<1)throw new WR("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(e.filters))},t}(o_),u_=function(e){function t(n){var r;return r=e.call(this,2,n)||this,t.verifyArgs(n),r}return qm(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!rE(e.kernelSize,"number",1,2))throw new WR("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(e.kernelSize)+".")},t}(s_);u_.className="Conv2D",Zb(u_);var l_=function(e){function t(n){var r;return r=e.call(this,3,n)||this,t.verifyArgs(n),r}return qm(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new WR("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(e.kernelSize)+".")},t}(s_);l_.className="Conv3D",Zb(l_);var c_=function(e){function t(t){var n;if((n=e.call(this,t)||this).inputSpec=[new FA({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new WR("Conv2DTranspose currently supports only padding modes '

17same' and 'valid', but received padding mode "+n.padding);return n}qm(t,e);var n=t.prototype;return n.build=function(e){var t;if(4!==(e=EA(e)).length)throw new WR("Input should have rank 4; Received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new WR("The channel dimension of the inputs should be defined. Found `None`.");var r=e[n],a=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",a,"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 FA({ndim:4,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return sx((function(){var t=RA(e);if(4!==t.shape.length)throw new WR("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+t.shape.length);var r,a,i=t.shape,o=i[0];"channelsFirst"===n.dataFormat?(r=2,a=3):(r=1,a=2);var s=i[r],u=i[a],l=n.kernelSize[0],c=n.kernelSize[1],p=n.strides[0],h=n.strides[1],f=[o,e_(s,p,l,n.padding),e_(u,h,c,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=xb(t,[0,2,3,1]));var d=kw(t,n.kernel.read(),f,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(d=xb(d,[0,3,1,2])),null!=n.bias&&(d=YE(d,n.bias.read(),n.dataFormat)),null!=n.activation&&(d=n.activation.apply(d)),d}))},n.computeOutputShape=function(e){var t,n,r,a=(e=EA(e)).slice();"channelsFirst"===this.dataFormat?(t=1,n=2,r=3):(t=3,n=1,r=2);var i=this.kernelSize[0],o=this.kernelSize[1],s=this.strides[0],u=this.strides[1];return a[t]=this.filters,a[n]=e_(a[n],s,i,this.padding),a[r]=e_(a[r],u,o,this.padding),a},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},t}(u_);c_.className="Conv2DTranspose",Zb(c_);var p_=function(e){function t(t,n){var r;if((r=e.call(this,t,n)||this).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new WR("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new WR("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new WR("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=bA(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=HD(n.depthwiseRegularizer),r.depthwiseConstraint=mE(n.depthwiseConstraint),r.pointwiseInitializer=bA(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=HD(n.pointwiseRegularizer),r.pointwiseConstraint=mE(n.pointwiseConstraint),r}qm(t,e);var n=t.prototype;return n.build=function(e){var t;if((e=EA(e)).length<this.rank+2)throw new WR("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(e));var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n]||e[n]<0)throw new WR("The channel dimension of the inputs should be defined, but found "+JSON.stringify(e[n]));for(var r=e[n],a=this.kernelSize.concat([r,this.depthMultiplier]),i=[],o=0;o<this.rank;++o)i.push(1);i.push(r*this.depthMultiplier,this.filters);this.depthwiseKernel=this.addWeight("depthwise_kernel",a,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",i,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new FA({ndim:this.rank+2,axes:(t={},t[n]=r,t)})],this.built=!0},n.call=function(e,t){var n=this;return sx((function(){var t;if(e=RA(e),1===n.rank)throw new VR("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=xb(e,[0,2,3,1])),t=DS(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=YE(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=xb(t,[0,3,1,2])),t}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=yA(this.depthwiseInitializer),t.pointwiseInitializer=yA(this.pointwiseInitializer),t.depthwiseRegularizer=GD(this.depthwiseRegularizer),t.pointwiseRegularizer=GD(this.pointwiseRegularizer),t.depthwiseConstraint=fE(this.depthwiseConstraint),t.pointwiseConstraint=fE(this.pointwiseConstraint),t},t}(s_);p_.className="SeparableConv";var h_=function(e){function t(t){return e.call(this,2,t)||this}return qm(t,e),t}(p_);h_.className="SeparableConv2D",Zb(h_);var f_=function(e){function t(n){var r;return r=e.call(this,1,n)||this,t.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return qm(t,e),t.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.dataFormat,t},t.verifyArgs=function(e){if("number"!=typeof e.kernelSize&&!rE(e.kernelSize,"number",1,1))throw new WR("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(e.kernelSize)+".")},t}(s_);f_.className="Conv1D",Zb(f_);var d_=function(e){function t(t){var n;return n=e.call(this,t)||this,"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return"channelsFirst"===this.dataFormat?[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]]},n.call=function(e,t){var n=this;return sx((function(){if(e=RA(e),"channelsLast"===n.dataFormat){var t=WE(e,n.cropping[0][0],e.shape[1]-n.cropping[0][0]-n.cropping[0][1],2);return WE(t,n.cropping[1][0],e.shape[2]-n.cropping[1][1]-n.cropping[1][0],3)}var r=WE(e,n.cropping[0][0],e.shape[2]-n.cropping[0][0]-n.cropping[0][1],3);return WE(r,n.cropping[1][0],e.shape[3]-n.cropping[1][1]-n.cropping[1][0],4)}))},n.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);d_.className="Cropping2D",Zb(d_);var m_=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){if("channelsFirst"===this.dataFormat){var t=null==e[2]?null:this.size[0]*e[2],n=null==e[3]?null:this.size[1]*e[3];return[e[0],e[1],t,n]}

17var r=null==e[1]?null:this.size[0]*e[1],a=null==e[2]?null:this.size[1]*e[2];return[e[0],r,a,e[3]]},n.call=function(e,t){var n=this;return sx((function(){var t=RA(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=xb(t,[0,2,3,1]);var a=n.size[0]*r[2],i=n.size[1]*r[3],o=t.resizeNearestNeighbor([a,i]);return xb(o,[0,3,1,2])}var s=n.size[0]*r[1],u=n.size[1]*r[2];return t.resizeNearestNeighbor([s,u])}))},n.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);m_.className="UpSampling2D",Zb(m_);var v_=function(e){function t(t){var n;return(n=e.call(this,2,t)||this).depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=bA(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=mE(t.depthwiseConstraint),n.depthwiseRegularizer=HD(t.depthwiseRegularizer),n}qm(t,e);var n=t.prototype;return n.build=function(e){if((e=EA(e)).length<4)throw new WR("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(e)+".");var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new WR("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+e[t]+").");var n=e[t],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},n.call=function(e,t){var n=this;return sx((function(){e=RA(e);var t,r,a,i,o,s,u=(t=e,r=n.depthwiseKernel.read(),a=n.strides,i=n.padding,o=n.dataFormat,s=null,void 0===a&&(a=[1,1]),void 0===i&&(i="valid"),sx((function(){null==o&&(o="channelsLast"),kE(o);var e=t_(t,o);if(4!==t.rank)throw new WR("Input for depthwiseConv2d is required to be 4-D, but is instead "+t.rank+"-D");if(4!==r.rank)throw new WR("depthwiseKernel is required to be 4-D, but is instead "+r.rank+"-D");return e=Tw(e,r,a,"same"===i?"same":"valid","NHWC",s),"channelsFirst"===o&&(e=xb(e,[0,3,1,2])),e})));return n.useBias&&(u=YE(u,n.bias.read(),n.dataFormat)),null!=n.activation&&(u=n.activation.apply(u)),u}))},n.computeOutputShape=function(e){e=EA(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[1]*this.depthMultiplier:e[3]*this.depthMultiplier,a=$D(t,this.kernelSize[0],this.padding,this.strides[0]),i=$D(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]},n.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=yA(this.depthwiseInitializer),t.depthwiseRegularizer=GD(this.depthwiseRegularizer),t.depthwiseConstraint=fE(this.depthwiseRegularizer),t},t}(o_);function g_(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new WR("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=e.slice(e.length-r,e.length),e=e.slice(0,e.length-r)),e.length>1&&(t=e.slice(1,e.length)),e=e[0]}function a(e){return null==e||Array.isArray(e)?e:[e]}return{inputs:e,initialState:t=a(t),constants:n=a(n)}}function y_(e,t,n,r,a,i,o,s){return void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===s&&(s=!1),sx((function(){var u=t.shape.length;if(u<3)throw new WR("Input should be at least 3D, but is "+u+"D.");var l=[1,0].concat(ME(2,u));if(t=xb(t,l),null!=i)throw new VR("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=a.asType("bool").asType("float32")).rank===u-1&&(a=jw(a,-1)),a=xb(a,l)),r&&(t=SS(t,0),null!=a&&(a=SS(a,0)));var c,p,h=[],f=n,d=t.shape[0],m=sN(t);null!=a&&(p=sN(a));for(var v,g=function(t){var n=m[t],r=sx((function(){return e(n,f)}));if(null==a)c=r[0],f=r[1];else{var i=sx((function(){var e=p[t],n=Hk(e).sub(e);return{output:r[0].mul(e).add(f[0].mul(n)),newStates:f.map((function(t,a){return r[1][a].mul(e).add(t.mul(n))}))}}));c=i.output,f=i.newStates}s&&h.push(c)},y=0;y<d;++y)g(y);if(s){v=ZS(h,1)}return[c,v,f]}))}v_.className="DepthwiseConv2D",Zb(v_);var b_=function(e){function t(t){var n,r;if(n=e.call(this,t)||this,null==t.cell)throw new WR("cell property is missing for the constructor of RNN.");if(null==(r=Array.isArray(t.cell)?new R_({cells:t.cell}):t.cell).stateSize)throw new WR("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return n.cell=r,n.returnSequences=null!=t.returnSequences&&t.returnSequences,n.returnState=null!=t.returnState&&t.returnState,n.goBackwards=null!=t.goBackwards&&t.goBackwards,n._stateful=null!=t.stateful&&t.stateful,n.unroll=null!=t.unroll&&t.unroll,n.supportsMasking=!0,n.inputSpec=[new FA({ndim:3})],n.stateSpec=null,n.states_=null,n.numConstants=null,n.keptStates=[],n}qm(t,e);var n=t.prototype;return n.getStates=function(){return null==this.states_?ME(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_},n.setStates=function(e){this.states_=e},n.computeOutputShape=function(e){IA(e)&&(e=e[0]),e=e;var t=this.cell.stateSize;Array.isArray(t)||(t=[t]);var n,r=t[0];if(n=this.returnSequences?[e[0],e[1],r]:[e[0],r],this.returnState){for(var a,i=[],o=tv(t);!(a=o()).done;){var s=a.value;i.push([e[0],s])}return[n].concat(i)}return n},n.computeMask=function(e,t){var n=this;return sx((function(){Array.isArray(t)&&(t=t[0]);var e=n.returnSequences?t:null;if(n.returnState){var r=n.states.map((function(e){return null}));return[e].concat(r)}return e}))},n.build=function(e){if(null!=this.numConstants)throw new VR("Constants support is not implemented in RNN yet.");IA(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new FA({shape:[t,null].concat(n)});var r,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!Fv(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new WR("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=r.map((function(e){return new FA({shape:[null,e]})}));this.stateful&&this.resetStates()},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),sx((function(){if(!n.stateful)throw new BR("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape[0];if(null==r)throw new WR("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(null==n.states_)Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return Fk([r,e])})):n.states_=[Fk([r,n.cell.stateSize])];else if(null==e)ux(n.states_),null!=n.keptStates&&(ux(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(e){return Fk([r,e])})):n.states_[0]=Fk([r,n.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new WR("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);!0===t?n.keptStates.push(n.states_.slice()):ux(n.states_);for(var a=0;a<n.states_.length;++a){var i=e[a],o=Array.isArray(n.cell.stateSize)?n.cell.stateSize[a]:n.cell.stateSize,s=[r,o];if(!Fv(i.shape,s))throw new WR("State "+a+" is incompatible with layer "+n.name+": expected shape="+s+", received shape="+i.shape);n.states_[a]=i}}n.states_=n.states_.map((function(e){return lx(e.clone())}))}))},n.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=g_(t,r,a,this.numConstants);t=i.inputs,r=i.initialState,a=i.constants;var o=[],s=[];if(null!=r){n.initialState=r,o=o.concat(r),this.stateSpec=[];for(var u,l=tv(r);!(u=l()).done;){var c=u.value;this.stateSpec.push(new FA({shape:c.shape}))}s=s.concat(this.stateSpec)}if(null!=a&&(n.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof OA){var p=[t].concat(o),h=this.inputSpec.concat(s),f=this.inputSpec;this.inputSpec=h;var d=e.prototype.apply.call(this,p,n);return this.inputSpec=f,d}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return sx((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=RA(e),null==i&&(i=n.stateful?n.states_:n.getInitialState(e));var o=Array.isArray(n.cell.stateSize)?n.cell.stateSize.length:1;if(i.length!==o)throw new WR("RNN Layer has "+o+" state(s) but was passed "+i.length+" initial state(s).");n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var s={training:a},u=y_((function(e,t){var r=n.cell.call([e].concat(t),s);return[r[0],r.slice(1)]}),e,i,n.goBackwards,r,null,n.unroll,n.returnSequences),l=u[0],c=u[1],p=u[2];n.stateful&&n.resetStates(p,a);var h=n.returnSequences?c:l;return n.returnState?[h].concat(p):h}))},n.getInitialState=function(e){var t=this;return sx((function(){var n=Fk(e.shape);return n=zE(n=Sk(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?GE(n,[1,e]):n})):t.cell.stateSize>1?[GE(n,[1,t.cell.stateSize])]:[n]}))},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(t)},n.getConfig=function(){var n=e.prototype.getConfig.call(this),r={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};

17null!=this.numConstants&&(r.numConstants=this.numConstants);var a=this.cell.getConfig();return this.getClassName()===t.className&&(r.cell={className:this.cell.getClassName(),config:a}),Object.assign({},a,n,r)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=$A(t.cell,n);return new e(Object.assign(t,{cell:r}))},Hm(t,[{key:"states",get:function(){if(null==this.states_){for(var e=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,t=[],n=0;n<e;++n)t.push(null);return t}return this.states_},set:function(e){this.states_=e}},{key:"trainableWeights",get:function(){return this.trainable?this.cell.trainableWeights:[]}},{key:"nonTrainableWeights",get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights}}]),t}(BA);b_.className="RNN",Zb(b_);var x_=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t}(BA),w_=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,aE(n.units,"units"),n.activation=BD(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=bA(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=bA(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=bA(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=HD(t.kernelRegularizer),n.recurrentRegularizer=HD(t.recurrentRegularizer),n.biasRegularizer=HD(t.biasRegularizer),n.kernelConstraint=mE(t.kernelConstraint),n.recurrentConstraint=mE(t.recurrentConstraint),n.biasConstraint=mE(t.biasConstraint),n.dropout=FE([1,OE([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=FE([1,OE([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}qm(t,e);var n=t.prototype;return n.build=function(e){e=EA(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},n.call=function(e,t){var n=this;return sx((function(){if(2!==(e=e).length)throw new WR("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var r=e[1];e=e[0];var a,i=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=E_({ones:function(){return Hk(e)},rate:n.dropout,training:i})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=E_({ones:function(){return Hk(r)},rate:n.recurrentDropout,training:i}));var o=n.dropoutMask,s=n.recurrentDropoutMask;a=HE(null!=o?vx(e,o):e,n.kernel.read()),null!=n.bias&&(a=YE(a,n.bias.read())),null!=s&&(r=vx(r,s));var u=fx(a,HE(r,n.recurrentKernel.read()));return null!=n.activation&&(u=n.activation.apply(u)),[u,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:LD(this.activation),useBias:this.useBias,kernelInitializer:yA(this.kernelInitializer),recurrentInitializer:yA(this.recurrentInitializer),biasInitializer:yA(this.biasInitializer),kernelRegularizer:GD(this.kernelRegularizer),recurrentRegularizer:GD(this.recurrentRegularizer),biasRegularizer:GD(this.biasRegularizer),activityRegularizer:GD(this.activityRegularizer),kernelConstraint:fE(this.kernelConstraint),recurrentConstraint:fE(this.recurrentConstraint),biasConstraint:fE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},t,n)},t}(x_);w_.className="SimpleRNNCell",Zb(w_);var k_=function(e){function t(t){return t.cell=new w_(t),e.call(this,t)||this}return qm(t,e),t.prototype.call=function(t,n){var r=this;return sx((function(){null!=r.cell.dropoutMask&&(ux(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ux(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return new e(t)},t}(b_);k_.className="SimpleRNN",Zb(k_);var S_=function(e){function t(t){var n;if((n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",t.resetAfter)throw new WR("GRUCell does not support reset_after parameter set to true.");return n.units=t.units,aE(n.units,"units"),n.activation=BD(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=BD(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=bA(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=bA(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=bA(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=HD(t.kernelRegularizer),n.recurrentRegularizer=HD(t.recurrentRegularizer),n.biasRegularizer=HD(t.biasRegularizer),n.kernelConstraint=mE(t.kernelConstraint),n.recurrentConstraint=mE(t.recurrentConstraint),n.biasConstraint=mE(t.biasConstraint),n.dropout=FE([1,OE([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=FE([1,OE([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}qm(t,e);var n=t.prototype;return n.build=function(e){var t=(e=EA(e))[e.length-1];this.kernel=this.addWeight("kernel",[t,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},n.call=function(e,t){var n=this;return sx((function(){if(2!==(e=e).length)throw new WR("GRUCell expects 2 input Tensors (inputs, h, c), got "+e.length+".");var r=null!=t.training&&t.training,a=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=E_({ones:function(){return Hk(e)},rate:n.dropout,training:r,count:3})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=E_({ones:function(){return Hk(a)},rate:n.recurrentDropout,training:r,count:3}));var i,o,s,u=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=vx(e,u[0]));var c=HE(e,n.kernel.read());n.useBias&&(c=YE(c,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(a=vx(a,l[0]));var p=n.recurrentKernel.read(),h=qS(p,[2*n.units,n.units],p.rank-1),f=h[0],d=h[1],m=HE(a,f),v=qS(c,3,c.rank-1),g=v[0],y=v[1],b=v[2],x=qS(m,2,m.rank-1),w=x[0],k=x[1];i=n.recurrentActivation.apply(fx(g,w)),o=n.recurrentActivation.apply(fx(y,k));var S=HE(vx(o,a),d);s=n.activation.apply(fx(b,S));var N=fx(vx(i,a),vx(fx(1,yk(i)),s));return[N,N]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:LD(this.activation),recurrentActivation:LD(this.recurrentActivation),useBias:this.useBias,kernelInitializer:yA(this.kernelInitializer),recurrentInitializer:yA(this.recurrentInitializer),biasInitializer:yA(this.biasInitializer),kernelRegularizer:GD(this.kernelRegularizer),recurrentRegularizer:GD(this.recurrentRegularizer),biasRegularizer:GD(this.biasRegularizer),activityRegularizer:GD(this.activityRegularizer),kernelConstraint:fE(this.kernelConstraint),recurrentConstraint:fE(this.recurrentConstraint),biasConstraint:fE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign({},t,n)},t}(x_);S_.className="GRUCell",Zb(S_);var N_=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new S_(t),e.call(this,t)||this}return qm(t,e),t.prototype.call=function(t,n){var r=this;return sx((function(){null!=r.cell.dropoutMask&&(ux(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ux(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t}(b_);N_.className="GRU",Zb(N_);var I_=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,aE(n.units,"units"),n.activation=BD(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=BD(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=bA(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=bA(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=bA(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=HD(t.kernelRegularizer),n.recurrentRegularizer=HD(t.recurrentRegularizer),n.biasRegularizer=HD(t.biasRegularizer),n.kernelConstraint=mE(t.kernelConstraint),n.recurrentConstraint=mE(t.recurrentConstraint),n.biasConstraint=mE(t.biasConstraint),n.dropout=FE([1,OE([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=FE([1,OE([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}qm(t,e);var n=t.prototype;

17return n.build=function(e){var t,n,r=(e=EA(e))[e.length-1];if(this.kernel=this.addWeight("kernel",[r,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,i=this.units;n=new((t=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e,t){var n=a.apply([i]),r=(new nA).apply([i]),o=a.apply([2*i]);return UE(UE(n,r),o)},t}(eA)).className="CustomInit",t)}else n=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,n,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},n.call=function(e,t){var n=this;return sx((function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new WR("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var a=e[1],i=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=E_({ones:function(){return Hk(e)},rate:n.dropout,training:r,count:4})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=E_({ones:function(){return Hk(a)},rate:n.recurrentDropout,training:r,count:4}));var o,s,u,l,c=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=vx(e,c[0]));var h=HE(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(a=vx(a,p[0])),h=fx(h,HE(a,n.recurrentKernel.read())),n.useBias&&(h=YE(h,n.bias.read()));var f=qS(h,4,h.rank-1),d=f[0],m=f[1],v=f[2],g=f[3];o=n.recurrentActivation.apply(d),s=n.recurrentActivation.apply(m),u=fx(vx(s,i),vx(o,n.activation.apply(v))),l=n.recurrentActivation.apply(g);var y=vx(l,n.activation.apply(u));return[y,y,u]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={units:this.units,activation:LD(this.activation),recurrentActivation:LD(this.recurrentActivation),useBias:this.useBias,kernelInitializer:yA(this.kernelInitializer),recurrentInitializer:yA(this.recurrentInitializer),biasInitializer:yA(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:GD(this.kernelRegularizer),recurrentRegularizer:GD(this.recurrentRegularizer),biasRegularizer:GD(this.biasRegularizer),activityRegularizer:GD(this.activityRegularizer),kernelConstraint:fE(this.kernelConstraint),recurrentConstraint:fE(this.recurrentConstraint),biasConstraint:fE(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign({},t,n)},t}(x_);I_.className="LSTMCell",Zb(I_);var C_=function(e){function t(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new I_(t),e.call(this,t)||this}return qm(t,e),t.prototype.call=function(t,n){var r=this;return sx((function(){null!=r.cell.dropoutMask&&(ux(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ux(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},t.fromConfig=function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)},t}(b_);C_.className="LSTM",Zb(C_);var R_=function(e){function t(t){var n;return(n=e.call(this,t)||this).cells=t.cells,n}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return sx((function(){for(var r,a=(e=e).slice(1),i=[],o=tv(n.cells.slice().reverse());!(r=o()).done;){var s=r.value;Array.isArray(s.stateSize)?i.push(a.splice(0,s.stateSize.length)):i.push(a.splice(0,1))}i.reverse();for(var u,l=[],c=0;c<n.cells.length;++c){var p=n.cells[c];a=i[c],u=0===c?[e[0]].concat(a):[u[0]].concat(a),u=p.call(u,t),l.push(u.slice(1))}a=[];for(var h,f=tv(l.slice().reverse());!(h=f()).done;){var d,m=h.value;(d=a).push.apply(d,m)}return[u[0]].concat(a)}))},n.build=function(e){var t;

17IA(e)&&(e=e[0]),e=e,this.cells.forEach((function(n,r){CE("RNNCell_"+r,(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign({},t,n)},t.fromConfig=function(e,t,n){void 0===n&&(n={});for(var r,a=[],i=tv(t.cells);!(r=i()).done;){var o=r.value;a.push($A(o,n))}return new e({cells:a})},n.getWeights=function(){for(var e,t=[],n=tv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.weights)}return DA(t)},n.setWeights=function(e){for(var t,n=[],r=tv(this.cells);!(t=r()).done;)for(var a=t.value,i=a.weights.length,o=e.splice(i),s=0;s<a.weights.length;++s)n.push([a.weights[s],o[s]]);_A(n)},Hm(t,[{key:"stateSize",get:function(){for(var e,t=[],n=tv(this.cells.slice().reverse());!(e=n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,r.stateSize):t.push(r.stateSize)}return t}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];for(var e,t=[],n=tv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.trainableWeights)}return t}},{key:"nonTrainableWeights",get:function(){for(var e,t=[],n=tv(this.cells);!(e=n()).done;){var r=e.value;t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var a,i=[],o=tv(this.cells);!(a=o()).done;){var s=a.value;i.push.apply(i,s.trainableWeights)}return i.concat(t)}return t}}]),t}(x_);function E_(e){var t=e.ones,n=e.rate,r=e.training,a=void 0!==r&&r,i=e.count,o=void 0===i?1:i,s=function(){return JE(t(),n)},u=function(){return ZE(s,t,a)};return!o||o<=1?lx(u().clone()):Array(o).fill(void 0).map(u).map((function(e){return lx(e.clone())}))}R_.className="StackedRNNCells",Zb(R_);var A_=function(e,t){var n={};for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(null!=e&&"function"==typeof Object.getOwnPropertySymbols){var a=0;for(r=Object.getOwnPropertySymbols(e);a<r.length;a++)t.indexOf(r[a])<0&&Object.prototype.propertyIsEnumerable.call(e,r[a])&&(n[r[a]]=e[r[a]])}return n},T_=function(e){function t(t){var n;if(t.unroll)throw new VR("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(t.cell))throw new VR("It is not possible at the moment to stack convolutional cells.");return(n=e.call(this,t)||this).inputSpec=[new FA({ndim:5})],n}qm(t,e);var n=t.prototype;return n.call=function(t,n){var r=this;return sx((function(){if(null!=r.cell.dropoutMask&&(ux(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(ux(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),n&&n.constants)throw new WR("ConvRNN2D cell does not support constants");var a=null==n?null:n.mask,i=null==n?null:n.training,o=null==n?null:n.initialState;return e.prototype.call.call(r,t,{mask:a,training:i,initialState:o})}))},n.computeOutputShape=function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(t.slice(2))),this.returnState&&(t=[t].concat(Array(2).fill([e[0]].concat(t.slice(-3))))),t},n.getInitialState=function(e){var t=this;return sx((function(){var n=t.cell.stateSize,r=e.shape,a=t.computeSingleOutputShape(r),i=Fk([a[0]].concat(a.slice(2)));return Array.isArray(n)?Array(n.length).fill(i):[i]}))},n.resetStates=function(e,t){var n=this;void 0===t&&(t=!1),sx((function(){if(!n.stateful)throw new BR("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=n.inputSpec[0].shape,a=n.computeSingleOutputShape(r),i=[a[0]].concat(a.slice(2));if(null==r[0])throw new WR("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(null==n.getStates())Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return Fk(i)})):n.states_=[Fk(i)];else if(null==e)ux(n.states_),null!=n.keptStates&&(ux(n.keptStates),n.keptStates=[]),Array.isArray(n.cell.stateSize)?n.states_=n.cell.stateSize.map((function(){return Fk(i)})):n.states_[0]=Fk(i);else{if(Array.isArray(e)||(e=[e]),e.length!==n.states_.length)throw new WR("Layer "+n.name+" expects "+n.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);t?n.keptStates.push(n.states_.slice()):ux(n.states_);for(var o=0;o<n.states_.length;++o){var s=e[o],u=i;if(!Fv(s.shape,u))throw new WR("State "+o+" is incompatible with layer "+n.name+": expected shape="+u+", received shape="+s.shape);n.states_[o]=s}}n.states_=n.states_.map((function(e){return lx(e.clone())}))}))},n.computeSingleOutputShape=function(e){var t=this.cell,n=t.dataFormat,r=t.filters,a=t.kernelSize,i=t.padding,o=t.strides,s=t.dilationRate,u="channelsFirst"===n,l=e[u?3:2],c=e[u?4:3],p=$D(l,a[0],i,o[0],s[0]),h=$D(c,a[1],i,o[1],s[1]);return[].concat(e.slice(0,2),u?[r,p,h]:[p,h,r])},t}(b_);T_.className="ConvRNN2D";var D_=function(e){function t(t){var n,r=t.filters,a=t.kernelSize,i=t.strides,o=t.padding,s=t.dataFormat,u=t.dilationRate;return(n=e.call(this,Object.assign({},t,{units:r}))||this).filters=r,aE(n.filters,"filters"),n.kernelSize=QD(a,2,"kernelSize"),n.kernelSize.forEach((function(e){return aE(e,"kernelSize")}

17)),n.strides=QD(i||1,2,"strides"),n.strides.forEach((function(e){return aE(e,"strides")})),n.padding=o||"valid",SE(n.padding),n.dataFormat=s||"channelsLast",kE(n.dataFormat),n.dilationRate=QD(u||1,2,"dilationRate"),n.dilationRate.forEach((function(e){return aE(e,"dilationRate")})),n}qm(t,e);var n=t.prototype;return n.build=function(e){var t;e=EA(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new WR("The channel dimension of the input should be defined. Found "+e[n]);var r=e[n],a=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",a,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var i=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",i,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var o;if(this.unitForgetBias){var s=this.biasInitializer,u=this.filters;o=new((t=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.apply=function(e,t){return VE([s.apply([u]),Ok([u]),s.apply([2*u])])},t}(eA)).className="CustomInit",t)}else o=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,o,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0},n.call=function(e,t){var n=this;return sx((function(){if(3!==e.length)throw new WR("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var r=t.training||!1,a=e[0],i=e[1],o=e[2];0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=E_({ones:function(){return Hk(a)},rate:n.dropout,training:r,count:4}));var s=n.dropoutMask,u=function(e,t,n){return t&&t[n]?vx(t[n],e):e},l=u(a,s,0),c=u(a,s,1),p=u(a,s,2),h=u(a,s,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=E_({ones:function(){return Hk(i)},rate:n.recurrentDropout,training:r,count:4}));var f=n.recurrentDropoutMask,d=u(i,f,0),m=u(i,f,1),v=u(i,f,2),g=u(i,f,3),y=qS(n.kernel.read(),4,3),b=y[0],x=y[1],w=y[2],k=y[3],S=n.useBias?qS(n.bias.read(),4):[null,null,null,null],N=S[0],I=S[1],C=S[2],R=S[3];l=n.inputConv(l,b,N,n.padding),c=n.inputConv(c,x,I,n.padding),p=n.inputConv(p,w,C,n.padding),h=n.inputConv(h,k,R,n.padding);var E=qS(n.recurrentKernel.read(),4,3),A=E[0],T=E[1],D=E[2],_=E[3];d=n.recurrentConv(d,A),m=n.recurrentConv(m,T),v=n.recurrentConv(v,D),g=n.recurrentConv(g,_);var F=n.recurrentActivation.apply(fx(l,d)),O=n.recurrentActivation.apply(fx(c,m)),M=fx(vx(O,o),vx(F,n.activation.apply(fx(p,v)))),L=vx(n.recurrentActivation.apply(fx(h,g)),n.activation.apply(M));return[L,L,M]}))},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n=(t.units,A_(t,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},n,r)},n.inputConv=function(e,t,n,r){var a=bw(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?YE(a,n,this.dataFormat):a},n.recurrentConv=function(e,t){return bw(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")},t}(I_);D_.className="ConvLSTM2DCell",Zb(D_);var __=function(e){function t(t){var n=new D_(t);return e.call(this,Object.assign({},t,{cell:n}))||this}return qm(t,e),t.fromConfig=function(e,t){return new e(t)},t}(T_);__.className="ConvLSTM2D",Zb(__);var F_=function(e){function t(t){var n;return(n=e.call(this,t)||this).rate=Math.max(Math.min(t.rate,1),0),n.noiseShape=t.noiseShape,n.seed=t.seed,n.supportsMasking=!0,n}qm(t,e);var n=t.prototype;return n.getNoiseShape=function(e){if(null==this.noiseShape)return this.noiseShape;for(var t=e.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?t[r]:this.noiseShape[r]);return n},n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t);var r=RA(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return ZE((function(){return JE(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))},n.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.dispose=function(){return e.prototype.dispose.call(this)},t}(BA);F_.className="Dropout",Zb(F_);var O_=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[{ndim:3}],n}return qm(t,e),t.prototype.getNoiseShape=function(e){var t=e.shape;return[t[0],1,t[2]]},t}(F_);O_.className="SpatialDropout1D",Zb(O_);var M_=function(e){function t(t){var n;if((n=e.call(this,t)||this).activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,aE(n.units,"units"),n.activation=BD(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=bA(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=bA(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=mE(t.kernelConstraint),n.biasConstraint=mE(t.biasConstraint),n.kernelRegularizer=HD(t.kernelRegularizer),n.biasRegularizer=HD(t.biasRegularizer),n.activityRegularizer=HD(t.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}qm(t,e);var n=t.prototype;return n.build=function(e){var t,n=(e=EA(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,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:(t={},t[-1]=n,t)}],this.built=!0},n.computeOutputShape=function(e){var t=(e=EA(e)).slice();return t[t.length-1]=this.units,t},n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t);var r,a=RA(e),i=iE(n.activation.getClassName());

17return null!=i?r=HE(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=HE(a,n.kernel.read()),null!=n.bias&&(r=YE(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))},n.getConfig=function(){var t={units:this.units,activation:LD(this.activation),useBias:this.useBias,kernelInitializer:yA(this.kernelInitializer),biasInitializer:yA(this.biasInitializer),kernelRegularizer:GD(this.kernelRegularizer),biasRegularizer:GD(this.biasRegularizer),activityRegularizer:GD(this.activityRegularizer),kernelConstraint:fE(this.kernelConstraint),biasConstraint:fE(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);M_.className="Dense",Zb(M_);var L_=function(e){function t(t){var n;return t=t||{},(n=e.call(this,t)||this).inputSpec=[{minNDim:3}],n.dataFormat=t.dataFormat,n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){for(var t,n=tv((e=EA(e)).slice(1));!(t=n()).done;){if(null==t.value)throw new WR('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],DE(e,1)]},n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t);var r=RA(e);if("channelsFirst"===n.dataFormat&&r.rank>1){for(var a=[0],i=2;i<r.rank;++i)a.push(i);a.push(1),r=r.transpose(a)}return function(e){if(e.rank<=1)throw new WR("batchFlatten requires a minimum rank of 2. Got rank: "+e.rank+".");var t=[e.shape[0],DE(e.shape,1)];return e.reshape(t)}(r)}))},n.getConfig=function(){var t={};null!=this.dataFormat&&(t.dataFormat=this.dataFormat);var n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);L_.className="Flatten",Zb(L_);var z_=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.activation=BD(t.activation),n}qm(t,e);var n=t.prototype;return n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t);var r=RA(e);return n.activation.apply(r)}))},n.getConfig=function(){var t={activation:LD(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);z_.className="Activation",Zb(z_);var B_=function(e){function t(t){var n;return(n=e.call(this,t)||this).n=t.n,n.inputSpec=[{ndim:2}],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],this.n,e[1]]},n.call=function(e,t){var n=this;return sx((function(){return e=RA(e),t=e,r=n.n,sx((function(){if(2!==t.shape.length)throw new WR("repeat() expects a rank-2 tensor, but received a rank-"+t.shape.length+" tensor.");return GE(zE(t,1),[1,r,1])}));var t,r}))},n.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);B_.className="RepeatVector",Zb(B_);var P_=function(e){function t(t){var n;(n=e.call(this,t)||this).targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}qm(t,e);var n=t.prototype;return n.isUnknown=function(e){return e<0||null==e},n.fixUnknownDimension=function(e,t){for(var n="Total size of new array must be unchanged.",r=t.slice(),a=1,i=null,o=0;o<r.length;++o){var s=r[o];if(this.isUnknown(s)){if(null!==i)throw new WR("Can only specifiy one unknown dimension.");i=o}else a*=s}var u=DE(e);if(null!==i){if(0===a||u%a!=0)throw new WR(n);r[i]=u/a}else if(u!==a)throw new WR(n);return r},n.computeOutputShape=function(e){for(var t=!1,n=0;n<e.length;++n)if(this.isUnknown(e[n])){t=!0;break}return t?e.slice(0,1).concat(this.targetShape):e.slice(0,1).concat(this.fixUnknownDimension(e.slice(1),this.targetShape))},n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t);var r=RA(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)}))},n.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);P_.className="Reshape",Zb(P_);var W_=function(e){function t(t){var n;if(n=e.call(this,t)||this,null==t.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(t.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+t.dims+" instead.");var r=ME(1,t.dims.length+1);if(!Fv(t.dims.slice().sort(),r))throw new Error("Invalid permutation `dims`: "+JSON.stringify(t.dims)+" `dims` must contain consecutive integers starting from 1.");return n.dims=t.dims,n.dimsIncludingBatch=[0].concat(n.dims),n.inputSpec=[new FA({ndim:n.dims.length+1})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=(e=EA(e)).slice();

17return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t},n.call=function(e,t){return xb(RA(e),this.dimsIncludingBatch)},n.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);W_.className="Permute",Zb(W_);var V_=function(e){function t(t){var n;return(n=e.call(this,null==t?{}:t)||this).supportsMasking=!0,n.maskValue=null!=t?null==t.maskValue?0:t.maskValue:0,n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={maskValue:this.maskValue};return Object.assign(n,t),n},n.computeMask=function(e,t){var n=RA(e);return Tx(Gk(n,this.maskValue),-1)},n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t);var r=RA(e),a=Tx(Gk(r,n.maskValue),-1,!0);return r.mul(a.asType(r.dtype))}))},t}(BA);V_.className="Masking",Zb(V_);var U_=function(e){function t(t){var n;if((n=e.call(this,t)||this).embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(KR(t.inputLength))}return n.inputDim=t.inputDim,aE(n.inputDim,"inputDim"),n.outputDim=t.outputDim,aE(n.outputDim,"outputDim"),n.embeddingsInitializer=bA(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=HD(t.embeddingsRegularizer),n.activityRegularizer=HD(t.activityRegularizer),n.embeddingsConstraint=mE(t.embeddingsConstraint),n.maskZero=t.maskZero,n.supportsMasking=t.maskZero,n.inputLength=t.inputLength,n}qm(t,e);var n=t.prototype;return n.build=function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},n.warnOnIncompatibleInputShape=function(e){},n.computeMask=function(e,t){var n=this;return sx((function(){return n.maskZero?(e=RA(e),Gk(e,Bw(e))):null}))},n.computeOutputShape=function(e){if(e=EA(e),null==this.inputLength)return[].concat(e,[this.outputDim]);var t=KR(this.inputLength);if(t.length!==e.length-1)throw new WR('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);for(var n=0,r=0;r<t.length;++r){var a=t[r],i=e[r+1];if(null!=a&&null!=i&&a!==i)throw new WR('"inputLength" is '+this.inputLength+", but received input shape has shape "+e);null==a&&(t[n]=i),n++}return[e[0]].concat(t,[this.outputDim])},n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t);var r=RA(e);return"int32"!==r.dtype&&(r=LE(r,"int32")),qE(n.embeddings.read(),r.as1D()).reshape(EA(n.computeOutputShape(r.shape)))}))},n.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:yA(this.embeddingsInitializer),embeddingsRegularizer:GD(this.embeddingsRegularizer),activityRegularizer:GD(this.activityRegularizer),embeddingsConstraint:fE(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);U_.className="Embedding",Zb(U_);var G_=function(e){function t(t){var n;return(n=e.call(this,t||{})||this).supportsMasking=!0,n}qm(t,e);var n=t.prototype;return n.mergeFunction=function(e){throw new VR},n.computeElementwiseOpOutputShape=function(e,t){if(null==e||null==t)return null;if(e.length<t.length)return this.computeElementwiseOpOutputShape(t,e);if(0===t.length)return e;for(var n=e.slice(0,e.length-t.length),r=0;r<t.length;++r){var a=e[e.length-t.length+r],i=t[r];if(null==a||null==i||a<0||i<0)n.push(null);else if(1===a)n.push(i);else if(1===i)n.push(a);else{if(a!==i)throw new WR("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n},n.build=function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[EA(e)]),(e=e).length<2)throw new WR("A merge layer should be called on an Array of at least 2 inputs. Got "+e.length+" input(s).");for(var t,n=[],r=tv(e);!(t=r()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}if((n=eE(n)).length>1)throw new WR("Can not merge tensors with different batch sizes. Got tensors with shapes: "+JSON.stringify(e)+".");for(var i=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var s=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,s)}var u=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===eE(u).length?this.reshapeRequired=!1:this.reshapeRequired=!0},n.call=function(e,t){var n=this;return sx((function(){if(e=e,n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){for(var a,i=OE(r),o=tv(e);!(a=o()).done;){for(var s=a.value,u=s.rank,l=0;l<i-u;++l)s=zE(s,1);t.push(s)}return n.mergeFunction(t)}for(var c,p=!1,h=tv(e);!(c=h()).done;){var f=c.value,d=f.rank;if(null==d){var m=f.shape,v=m[0],g=m.slice(1).concat([v]),y=f.reshape([v].concat(DE(m.slice(1))));y=(y=xb(y,[1,0])).reshape(g),t.push(y),p=!0}else if(d>

171){var b=ME(1,d).concat([0]);t.push(xb(f,b)),p=!0}else t.push(f)}var x=n.mergeFunction(t),w=x.rank;if(p)if(null==w){var k=x.shape,S=k[k.length-1],N=[S].concat(k.slice(0,k.length-1));x=xb(x.reshape([-1,S]),[1,0]).reshape(N)}else if(w>1){var I=[w-1].concat(ME(0,w-1));x=xb(x,I)}return x}return n.mergeFunction(e)}))},n.computeOutputShape=function(e){var t;t=null==(e=e)[0]?null:e[0].slice(1);for(var n=1;n<e.length;++n){var r=null==e[n]?null:e[n].slice(1);t=this.computeElementwiseOpOutputShape(t,r)}for(var a,i=[],o=tv(e);!(a=o()).done;){var s=a.value;null!=s&&null!==s[0]&&i.push(s[0])}return t=1===(i=eE(i)).length?i.concat(t):[null].concat(t)},n.computeMask=function(e,t){return sx((function(){if(null==t)return null;if(!Array.isArray(t))throw new WR("`mask` should be an Array");if(!Array.isArray(e))throw new WR("`inputs` should be an Array");if(t.length!==e.length)throw new WR("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths ("+e.length+" vs "+t.length+")");if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:jw(e,0)})))[0],r=1;r<t.length-1;++r)n=Ck(n,t[r]);return n}))},t}(BA),j_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return sx((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=fx(t,e[n]);return t}))},t}(G_);j_.className="Add",Zb(j_);var H_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return sx((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=vx(t,e[n]);return t}))},t}(G_);H_.className="Multiply",Zb(H_);var q_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return sx((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=fx(t,e[n]);return vx(1/e.length,t)}))},t}(G_);q_.className="Average",Zb(q_);var K_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return sx((function(){for(var t=e[0],n=1;n<e.length;++n)t=ok(t,e[n]);return t}))},t}(G_);K_.className="Maximum",Zb(K_);var X_=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.mergeFunction=function(e){return sx((function(){for(var t=e[0],n=1;n<e.length;++n)t=zk(t,e[n]);return t}))},t}(G_);X_.className="Minimum",Zb(X_);var Y_=function(e){function t(t){var n;return(n=e.call(this,t)||this).DEFAULT_AXIS=-1,null==t&&(t={}),n.axis=null==t.axis?n.DEFAULT_AXIS:t.axis,n.supportsMasking=!0,n.reshapeRequired=!1,n}qm(t,e);var n=t.prototype;return n.build=function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new WR("A `Concatenate` layer should be called on a list of at least 2 inputs");for(var t,n=!0,r=tv(e=e);!(t=r()).done;){if(null!=t.value){n=!1;break}}if(!n){for(var a=[],i=0;i<e.length;++i){var o=e[i].slice();o.splice(this.axis,1);for(var s,u=!1,l=tv(a);!(s=l()).done;){if(Fv(s.value,o)){u=!0;break}}u||a.push(o)}if(a.length>1)throw new WR("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}},n.mergeFunction=function(e){var t=this;return sx((function(){return VE(e,t.axis)}))},n.computeOutputShape=function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new WR("A `Concatenate` layer should be called on a list of inputs.");for(var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=tv(n.slice(1));!(t=i()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}return r},n.computeMask=function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new WR("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new WR("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new WR("Mismatch in the length of mask ("+t.length+") and the legnth of inputs ("+e.length+")");return sx((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var a=[],i=0;i<e.length;++i)null==t[i]?a.push(Hk(e[i]).asType("bool")):t[i].rank<e[i].rank?a.push(jw(t[i],-1)):a.push(t[i]);var o=tw(a,n.axis);return Ax(o,-1,!1)}))},n.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(G_);function J_(e,t){for(;e<0;)e+=t;return e}Y_.className="Concatenate",Zb(Y_);var Z_=function(e){function t(t){var n;return(n=e.call(this,t)||this).axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}qm(t,e);var n=t.prototype;return n.build=function(e){Ev(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0],n=e[1];if(t.length>3||n.length>3)throw new VR("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);if(t[r[0]]!==n[r[1]])throw new WR("Dimension incompatibility: "+t[r[0]]+" !== "+n[r[1]])},n.mergeFunction=function(e){if(2!==e.length)throw new WR("A `Dot` layer must be called on exactly 2 inputs, but received "+e.length+" input(s).");var t,n=e[0],r=e[1];return t=Array.isArray(this.axes)?this.axes.map((function(t,n){return J_(t,e[n].shape.length)})):[J_(this.axes,n.shape.length),J_(this.axes,r.shape.length)],this.normalize&&(n=eT(n,t[0]),r=eT(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new VR("batchDot is not implemented for tensors of 4D or higher rank yet");if(Ev(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, but got "+e.shape.length})),Ev(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, but got "+t.shape.length})),"number"==typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new VR("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,a=t.shape.length;null==n&&(n=[r-1,a-2]);var i=n;return sx((function(){var n,o;if(r>a){n=r-a;for(var s=[],u=0;u<n;++u)s.push(1);

17t=t.reshape(t.shape.concat(s))}else if(a>r){n=a-r;for(var l=[],c=0;c<n;++c)l.push(1);e=e.reshape(e.shape.concat(l))}else n=0;if(2===e.shape.length&&2===t.shape.length)o=i[0]===i[1]?e.mul(t).sum(i[0]):e.transpose([1,0]).mul(t).sum(i[1]);else{var p=i[0]!==e.shape.length-1,h=i[1]===t.shape.length-1;o=e.matMul(t,p,h)}if(n>0){for(var f,d=[],m=f=r>a?r+a-3:r-1;m<f+n;++m)d.push(m);o=o.squeeze(d)}return 1===o.shape.length&&(o=o.expandDims(1)),o}))}(n,r,t)},n.interpretAxes=function(e,t){return Array.isArray(this.axes)?this.axes:[J_(this.axes,e.length),J_(this.axes,t.length)]},n.computeOutputShape=function(e){Ev(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),(function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."}));var t=e[0].slice(),n=e[1].slice();if(t.length>3||n.length>3)throw new VR("Dot layer does not support tensors of 4D or higher rank yet.");var r=this.interpretAxes(t,n);t.splice(r[0],1),n.splice(r[1],1),n.splice(0,1);var a=t.concat(n);return 1===a.length&&a.push(1),a},n.computeMask=function(e,t){return null},n.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(G_);Z_.className="Dot",Zb(Z_);var Q_=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.stddev=t.stddev,n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t);var r=RA(e);return ZE((function(){return jE(r.shape,0,n.stddev).add(r)}),(function(){return r}),t.training||!1)}))},t}(BA);Q_.className="GaussianNoise",Zb(Q_);var $_=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t);var r=RA(e);if(n.rate>0&&n.rate<1){return ZE((function(){var e=Math.sqrt(n.rate/(1-n.rate));return r.mul(jE(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))},t}(BA);$_.className="GaussianDropout",Zb($_);var eF=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n.rate=t.rate,n.noiseShape=t.noiseShape,n}qm(t,e);var n=t.prototype;return n._getNoiseShape=function(e){return this.noiseShape||RA(e).shape},n.computeOutputShape=function(e){return e},n.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},n.call=function(e,t){var n=this;return sx((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return ZE((function(){var t=RA(e),a=-1.7580993408473766,i=tk(gS(r),n.rate);i=LE(i,"float32");var o=Math.pow((1-n.rate)*(1+n.rate*Math.pow(a,2)),-.5),s=-o*a*n.rate;return t.mul(i).add(i.add(-1).mul(a)).mul(o).add(s)}),(function(){return RA(e)}),t.training||!1)}return e}))},t}(BA);function tF(e,t,n,r,a,i){var o;if(void 0===i&&(i=.001),2===e.rank)o=lw(e,t,n,r,a,i);else if(3===e.rank)o=cw(e,t,n,r,a,i);else{if(4!==e.rank)throw new VR("batchNormalization is not implemented for array of rank "+e.rank+" yet");o=pw(e,t,n,r,a,i)}return o}function nF(e,t,n,r,a){return void 0===a&&(a=.001),Fv(r.slice().sort(),ME(0,e.rank-1))?function(e,t,n,r,a){return void 0===a&&(a=.001),sx((function(){var i=Wk(e,r),o=i.mean,s=i.variance;return[tF(e,o,s,n,t,a),o,s]}))}(e,t,n,r,a):function(e,t,n,r,a){return void 0===a&&(a=.001),sx((function(){for(var i,o=Wk(e,r),s=o.mean,u=o.variance,l=[],c=tv(ME(0,e.rank));!(i=c()).done;){var p=i.value;-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}var h=s.reshape(l),f=u.reshape(l),d=null==t?null:t.reshape(l),m=null==n?null:n.reshape(l);return[tF(e,h,f,m,d,a),s,u]}))}(e,t,n,r,a)}eF.className="AlphaDropout",Zb(eF);var rF=function(e){function t(t){var n;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=bA(t.betaInitializer||"zeros"),n.gammaInitializer=bA(t.gammaInitializer||"ones"),n.movingMeanInitializer=bA(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=bA(t.movingVarianceInitializer||"ones"),n.betaConstraint=mE(t.betaConstraint),n.gammaConstraint=mE(t.gammaConstraint),n.betaRegularizer=HD(t.betaRegularizer),n.gammaRegularizer=HD(t.gammaRegularizer),n}qm(t,e);var n=t.prototype;return n.build=function(e){var t;e=EA(e);var n=this.axis>=0?this.axis:this.axis+e.length,r=e[n];if(null==r)throw new WR("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(e)+".");this.inputSpec=[new FA({ndim:e.length,axes:(t={},t[n]=r,t)})];var a=[r];this.scale&&(this.gamma=this.addWeight("gamma",a,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",a,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",a,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",a,null,this.movingVarianceInitializer,null,!1),this.built=!0},n.call=function(e,t){var n=this;return sx((function(){var r=null!=t.training&&t.training,a=RA(e),i=a.shape,o=i.length,s=ME(0,o),u=n.axis>=0?n.axis:n.axis+o;s.splice(u,1);var l=GR(1,o);l[u]=i[u];var c=s.slice();c.sort();var p=!Fv(c,ME(0,o).slice(0,o-1));if(!r)return function(){if(p){var e=n.movingMean.read().reshape(l),t=n.movingVariance.read().reshape(l),r=n.center?n.beta.read().reshape(l):null,i=n.scale?n.gamma.read().reshape(l):null;return tF(a,e,t,r,i,n.epsilon)}return tF(a,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=nF(a,n.gamma.read(),n.beta.read(),s,n.epsilon),f=h[0],d=h[1],m=h[2],v=function(e,t,n){sx((function(){var r=1-n,a=e.read(),i=a.sub(t).mul(r);e.write(a.sub(i))}))};return v(n.movingMean,d,n.momentum),v(n.movingVariance,m,n.momentum),f}))},n.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:yA(this.betaInitializer),gammaInitializer:yA(this.gammaInitializer),movingMeanInitializer:yA(this.movingMeanInitializer),movingVarianceInitializer:yA(this.movingVarianceInitializer),betaRegularizer:GD(this.betaRegularizer),gammaRegularizer:GD(this.gammaRegularizer),betaConstraint:fE(this.betaConstraint),gammaConstraint:fE(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);rF.className="BatchNormalization",Zb(rF);var aF=function(e){function t(t){var n;if(null==t&&(t={}),(n=e.call(this,t)||this).axis=null==t.axis?-1:t.axis,"number"==typeof n.axis){if(!Number.isInteger(n.axis))throw new Error("Expected axis to be an integer, but received "+n.axis)}else{if(!Array.isArray(n.axis))throw new Error("Expected axis to be an integer or an array of integers, but received "+JSON.stringify(n.axis));for(var r,a=tv(n.axis);!(r=a()).done;){var i=r.value;if(!Number.isInteger(i))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(n.axis))}}return n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=bA(t.betaInitializer||"zeros"),n.gammaInitializer=bA(t.gammaInitializer||"ones"),n.betaRegularizer=HD(t.betaRegularizer),n.gammaRegularizer=HD(t.gammaRegularizer),n.supportsMasking=!0,n}qm(t,e);var n=t.prototype;return n.build=function(e){var t=(e=EA(e)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=t);for(var r,a=tv(this.axis);!(r=a()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: "+i)}if(this.axis.length!==eE(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var o=this.axis.map((function(t){return e[t]}));this.scale?this.gamma=this.addWeight("gamma",o,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0},n.call=function(e,t){var n=this,r=RA(e),a=r.shape,i=a.length;return sx((function(){for(var e,t=Wk(r,n.axis,!0),o=t.mean,s=t.variance,u=GR(1,i),l=tv(n.axis);!(e=l()).done;){var c=e.value;u[c]=a[c]}for(var p=function(e){return null!=e&&e.shape.length!==i&&n.axis!==[i-1]?e.reshape(u):e},h=p(n.gamma.read()),f=p(n.beta.read()),d=[],m=[],v=0;v<i;++v)-1!==n.axis.indexOf(v)?(d.push(a[v]),m.push(1)):(d.push(1),m.push(a[v]));

17return o=o.tile(d),s=s.tile(d),h=h.tile(m),f=f.tile(m),tF(r,o,s,f,h,n.epsilon)}))},n.getConfig=function(){var t={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:yA(this.betaInitializer),gammaInitializer:yA(this.gammaInitializer),betaRegularizer:GD(this.betaRegularizer),gammaRegularizer:GD(this.gammaRegularizer)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);aF.className="LayerNormalization",Zb(aF);var iF=function(e){function t(t){var n;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new WR("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r,a;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],a=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new WR("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new WR("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");a=t.padding[1]}n.padding=[r,a]}return n.inputSpec=[new FA({ndim:4})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t,n;return e=EA(e),"channelsFirst"===this.dataFormat?(t=null!=e[2]&&e[2]>=0?e[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[3]&&e[3]>=0?e[3]+this.padding[1][0]+this.padding[1][1]:null,[e[0],e[1],t,n]):(t=null!=e[1]&&e[1]>=0?e[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=e[2]&&e[2]>=0?e[2]+this.padding[1][0]+this.padding[1][1]:null,[e[0],t,n,e[3]])},n.call=function(e,t){var n=this;return sx((function(){return t=RA(e),r=n.padding,a=n.dataFormat,sx((function(){if(4!==t.rank)throw new WR("temporalPadding expects input tensor to be 4-D, but received a "+t.rank+"-D tensor.");if(null==r&&(r=[[1,1],[1,1]]),2!==r.length||2!==r[0].length||2!==r[1].length)throw new WR("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==a&&(a="channelsLast"),"channelsLast"!==a&&"channelsFirst"!==a)throw new WR("Unknown data format: "+a+". Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===a?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],Kk(t,e)}));var t,r,a}))},n.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA);function oF(e,t,n,r,a,i){return sx((function(){var o;kE(a),NE(i),SE(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=t_(e,a);var s="same"===r?"same":"valid";return o="max"===i?Tk(e,t,n,s):Zx(e,t,n,s),"channelsFirst"===a&&(o=xb(o,[0,3,1,2])),o}))}function sF(e,t,n,r,a,i){return sx((function(){var o;kE(a),NE(i),SE(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==a&&(a="channelsLast"),null==i&&(i="max"),e=n_(e,a);var s="same"===r?"same":"valid";return o="max"===i?Dk(e,t,n,s):Qx(e,t,n,s),"channelsFirst"===a&&(o=xb(o,[0,4,1,2,3])),o}))}iF.className="ZeroPadding2D",Zb(iF);var uF=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new WR("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(aE(n.poolSize,"poolSize"),null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new WR("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return aE(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,SE(n.padding),n.inputSpec=[new FA({ndim:3})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){var t=$D((e=EA(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]},n.call=function(e,t){var n=this;return sx((function(){n.invokeCallHook(e,t),e=zE(RA(e),2);var r=n.poolingFunction(RA(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return JS(r,[2])}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA),lF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return kE(a),SE(r),oF(e,t,n,r,a,"max")},t}(uF);lF.className="MaxPooling1D",Zb(lF);var cF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return kE(a),SE(r),oF(e,t,n,r,a,"avg")},t}(uF);cF.className="AveragePooling1D",Zb(cF);var pF=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new WR("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");

17n.strides=t.strides}else n.strides=[t.strides,t.strides];return aE(n.poolSize,"poolSize"),aE(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,kE(n.dataFormat),SE(n.padding),n.inputSpec=[new FA({ndim:4})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=EA(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=$D(t,this.poolSize[0],this.padding,this.strides[0]),n=$D(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]},n.call=function(e,t){var n=this;return sx((function(){return n.invokeCallHook(e,t),n.poolingFunction(RA(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA),hF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return kE(a),SE(r),oF(e,t,n,r,a,"max")},t}(pF);hF.className="MaxPooling2D",Zb(hF);var fF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return kE(a),SE(r),oF(e,t,n,r,a,"avg")},t}(pF);fF.className="AveragePooling2D",Zb(fF);var dF=function(e){function t(t){var n;if(null==t.poolSize&&(t.poolSize=[2,2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(3!==t.strides.length)throw new WR("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides,t.strides];return aE(n.poolSize,"poolSize"),aE(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,kE(n.dataFormat),SE(n.padding),n.inputSpec=[new FA({ndim:5})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){e=EA(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2],r="channelsFirst"===this.dataFormat?e[4]:e[3];return t=$D(t,this.poolSize[0],this.padding,this.strides[0]),n=$D(n,this.poolSize[1],this.padding,this.strides[1]),r

17=$D(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n,r]:[e[0],t,n,r,e[4]]},n.call=function(e,t){var n=this;return sx((function(){return n.invokeCallHook(e,t),n.poolingFunction(RA(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))},n.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA),mF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return kE(a),SE(r),sF(e,t,n,r,a,"max")},t}(dF);mF.className="MaxPooling3D",Zb(mF);var vF=function(e){function t(t){return e.call(this,t)||this}return qm(t,e),t.prototype.poolingFunction=function(e,t,n,r,a){return kE(a),SE(r),sF(e,t,n,r,a,"avg")},t}(dF);vF.className="AveragePooling3D",Zb(vF);var gF=function(e){function t(t){var n;return(n=e.call(this,t)||this).inputSpec=[new FA({ndim:3})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return[e[0],e[2]]},n.call=function(e,t){throw new VR},t}(BA),yF=function(e){function t(t){return e.call(this,t||{})||this}return qm(t,e),t.prototype.call=function(e,t){return sx((function(){var t=RA(e);return Mk(t,1)}))},t}(gF);yF.className="GlobalAveragePooling1D",Zb(yF);var bF=function(e){function t(t){return e.call(this,t||{})||this}return qm(t,e),t.prototype.call=function(e,t){return sx((function(){var t=RA(e);return wk(t,1)}))},t}(gF);bF.className="GlobalMaxPooling1D",Zb(bF);var xF=function(e){function t(t){var n;return(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,kE(n.dataFormat),n.inputSpec=[new FA({ndim:4})],n}qm(t,e);var n=t.prototype;return n.computeOutputShape=function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]},n.call=function(e,t){throw new VR},n.getConfig=function(){var t={dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t}(BA),wF=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.call=function(e,t){var n=this;return sx((function(){var t=RA(e);return"channelsLast"===n.dataFormat?Mk(t,[1,2]):Mk(t,[2,3])}))},t}(xF);wF.className="GlobalAveragePooling2D",Zb(wF);var kF=function(e){function t(){return e.apply(this,arguments)||this}return qm(t,e),t.prototype.call=function(e,t){var n=this;return sx((function(){var t=RA(e);return"channelsLast"===n.dataFormat?wk(t,[1,2]):wk(t,[2,3])}))},t}(xF);kF.className="GlobalMaxPooling2D",Zb(kF);var SF=function(e){function t(t){var n;return(n=e.call(this,t)||this).layer=t.layer,n}qm(t,e);var n=t.prototype;return n.build=function(e){this.built=!0},n.getWeights=function(){return this.layer.getWeights()},n.setWeights=function(e){this.layer.setWeights(e)},n.getConfig=function(){var t={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(t)},t.fromConfig=function(e,t,n){void 0===n&&(n={});var r=$A(t.layer,n);delete t.layer;var a={layer:r};return Object.assign(a,t),new e(a)},Hm(t,[{key:"trainable",get:function(){return null!=this.layer&&this.layer.trainable},set:function(e){null!=this.layer&&(this.layer.trainable=e)}},{key:"trainableWeights",get:function(){return this.layer.trainableWeights}},{key:"nonTrainableWeights",get:function(){return this.layer.nonTrainableWeights}},{key:"updates",get:function(){return this.layer._updates}},{key:"losses",get:function(){return this.layer.losses}}]),t}(BA),NF=function(e){function t(t){var n;return(n=e.call(this,t)||this).supportsMasking=!0,n}qm(t,e);var n=t.prototype;return n.build=function(t){if((t=EA(t)).length<3)throw new WR("TimeDistributed layer expects an input shape >= 3D, but received input shape "+JSON.stringify(t));this.inputSpec=[{shape:t}];var n=[t[0]].concat(t.slice(2));this.layer.built||(this.layer.build(n),this.layer.built=!0),e.prototype.build.call(this,t)},n.computeOutputShape=function(e){var t=[(e=EA(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))},n.call=function(e,t){var n=this;return sx((function(){return y_((function(e,r){return[RA(n.layer.call(e,t)),[]]}),e=RA(e),[],!1,null,null,!1,!0)[1]}))},t}(SF);NF.className="TimeDistributed",Zb(NF);var IF=function(e){function t(t){var n;n=e.call(this,t)||this;var r=t.layer.getConfig(),a={};a.className=t.layer.getClassName(),a.config=r,n.forwardLayer=$A(a),r.goBackwards=!0!==r.goBackwards;var i,o={};if(o.className=t.layer.getClassName(),o.config=r,n.backwardLayer=$A(

17o),n.forwardLayer.name="forward_"+n.forwardLayer.name,n.backwardLayer.name="backward_"+n.backwardLayer.name,n.mergeMode=void 0===t.mergeMode?"concat":t.mergeMode,i=n.mergeMode,nE(xE,"BidirectionalMergeMode",i),t.weights)throw new VR("weights support is not implemented for Bidirectional layer yet.");return n._stateful=t.layer.stateful,n.returnSequences=t.layer.returnSequences,n.returnState=t.layer.returnState,n.supportsMasking=!0,n._trainable=!0,n.inputSpec=t.layer.inputSpec,n.numConstants=null,n}qm(t,e);var n=t.prototype;return n.getWeights=function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())},n.setWeights=function(e){var t=e.length,n=Math.floor(t/2);this.forwardLayer.setWeights(e.slice(0,n)),this.backwardLayer.setWeights(e.slice(n))},n.computeOutputShape=function(e){var t,n,r,a=this.forwardLayer.computeOutputShape(e);return Array.isArray(a)&&Array.isArray(a[0])||(a=[a]),a=a,this.returnState?(r=a.slice(1),t=a[0]):t=a[0],t=t,"concat"===this.mergeMode?(t[t.length-1]*=2,n=[t]):n=null==this.mergeMode?[t,t.slice()]:[t],this.returnState?null==this.mergeMode?n.concat(r).concat(r.slice()):[t].concat(r).concat(r.slice()):qR(n)},n.apply=function(t,n){var r=null==n?null:n.initialState,a=null==n?null:n.constants;null==n&&(n={});var i=g_(t,r,a,this.numConstants);if(t=i.inputs,r=i.initialState,a=i.constants,Array.isArray(t)&&(r=t.slice(1),t=t[0]),(null==r||0===r.length)&&null==a)return e.prototype.apply.call(this,t,n);var o=[],s=[];if(null!=r){var u=r.length;if(u%2>0)throw new WR("When passing `initialState` to a Bidrectional RNN, the state should be an Array containing the states of the underlying RNNs.");n.initialState=r,o.push.apply(o,r);var l=r.map((function(e){return new FA({shape:e.shape})}));this.forwardLayer.stateSpec=l.slice(0,u/2),this.backwardLayer.stateSpec=l.slice(u/2),s.push.apply(s,l)}if(null!=a)throw new VR("Support for constants in Bidirectional layers is not implemented yet.");for(var c=o[0]instanceof OA,p=0,h=o;p<h.length;p++){if(h[p]instanceof OA!==c)throw new WR("The initial state of a Bidirectional layer cannot be specified as a mix of symbolic and non-symbolic tensors")}if(c){var f=[t].concat(o),d=this.inputSpec.concat(s),m=this.inputSpec;this.inputSpec=d;var v=e.prototype.apply.call(this,f,n);return this.inputSpec=m,v}return e.prototype.apply.call(this,t,n)},n.call=function(e,t){var n=this;return sx((function(){var r,a,i,o,s=t.initialState;if(null==s)r=n.forwardLayer.call(e,t),a=n.backwardLayer.call(e,t);else{var u=s.slice(0,s.length/2),l=s.slice(s.length/2);r=n.forwardLayer.call(e,Object.assign(t,{initialState:u})),a=n.backwardLayer.call(e,Object.assign(t,{initialState:l}))}return n.returnState&&(Array.isArray(r)&&(i=r.slice(1).concat(a.slice(1))),r=r[0],a=a[0]),n.returnSequences&&(a=SS(a,1)),"concat"===n.mergeMode?o=VE([r,a]):"sum"===n.mergeMode?o=fx(r,a):"ave"===n.mergeMode?o=vx(.5,fx(r,a)):"mul"===n.mergeMode?o=vx(r,a):null==n.mergeMode&&(o=[r,a]),n.returnState?null==n.mergeMode?o.concat(i):[o].concat(i):o}))},n.resetStates=function(e){this.forwardLayer.resetStates(),this.backwardLayer.resetStates()},n.build=function(e){var t=this;CE(this.forwardLayer.name,(function(){t.forwardLayer.build(e)})),CE(this.backwardLayer.name,(function(){t.backwardLayer.build(e)})),this.built=!0},n.computeMask=function(e,t){var n;if(Array.isArray(t)&&(t=t[0]),n=this.returnSequences?null==this.mergeMode?[t,t]:t:null==this.mergeMode?[null,null]:null,this.returnState){var r=this.forwardLayer.states.map((function(e){return null}));return Array.isArray(n)?n.concat(r).concat(r):[n].concat(r).concat(r)}return n},n.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.forwardLayer&&this.forwardLayer.setFastWeightInitDuringBuild(t),null!=this.backwardLayer&&this.backwardLayer.setFastWeightInitDuringBuild(t)},n.getConfig=function(){var t={mergeMode:this.mergeMode},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},t.fromConfig=function(e,t){var n=$A(t.layer);if(delete t.layer,null!=t.numConstants)throw new VR("Deserialization of a Bidirectional layer with numConstants present is not supported yet.");var r=t;return r.layer=n,new e(r)},Hm(t,[{key:"trainable",get:function(){return this._trainable},set:function(e){this._trainable=e,null!=this.forwardLayer&&(this.forwardLayer.trainable=e),null!=this.backwardLayer&&(this.backwardLayer.trainable=e)}},{key:"trainableWeights",get:function(){return this.forwardLayer.trainableWeights.concat(this.backwardLayer.trainableWeights)}},{key:"nonTrainableWeights",get:function(){return 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17=!1,this.idTensor=sk(0),lx(this.idTensor)}var t=e.prototype;return t.clearAndClose=function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.tensor.id)||t.tensor.dispose()})),this.tensors=[],this.closed_=!0,this.idTensor.dispose()},t.size=function(){return this.tensors.length},t.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.size())throw new Error("Tried to read from index "+e+", but array size is: "+this.size());var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},t.readMany=function(e){var t=this;return e.map((function(e){return t.read(e)}))},t.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var n=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),DO(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),n.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been read.");if(n.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been written.");n.tensor=t,lx(t),n.written=!0,this.tensors[e]=n},t.writeMany=function(e,t){var n=this;if(e.length!==t.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+e.length+" is not the same as tensors size: "+t.length+".");e.forEach((function(e,r){return n.write(e,t[r])}))},t.gather=function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+t);if(e)e=e.slice(0,this.size());else{e=[];for(var n=0;n<this.size();n++)e.push(n)}if(0===e.length)return ny([],[0].concat(this.elementShape));var r=this.readMany(e);return DO(this.elementShape,r[0].shape,"TensorArray shape mismatch: "),ZS(r,0)},t.concat=function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return ny([],[0].concat(this.elementShape));for(var t=[],n=0;n<this.size();n++)t.push(n);var r=this.readMany(t);return DO(this.elementShape,r[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+r[0].shape+")"),tw(r,0)},t.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+t.shape[0]);var n=Math.max.apply(Math,e);if(!this.dynamicSize&&n>=this.maxSize)throw new Error("Max index must be < array size ("+n+"  vs. "+this.maxSize+")");this.writeMany(e,sN(t,0))},t.split=function(e,t){var n=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);var r=0,a=e.map((function(e){return r+=e}));if(r!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var i=0===r?0:t.size/r,o=[];sx((function(){t=gb(t,[1,r,i]);for(var s=0;s<e.length;++s){var u=[0,0===s?0:a[s-1],0],l=[1,e[s],i];o[s]=gb(rw(t,u,l),n.elementShape)}return o}

17));for(var s=[],u=0;u<e.length;u++)s[u]=u;this.writeMany(s,o)},Hm(e,[{key:"id",get:function(){return this.idTensor.id}},{key:"closed",get:function(){return this.closed_}}]),e}(),FO=function(){function e(e,t,n,r){void 0===r&&(r=-1),this.tensors=e,this.elementShape=t,this.elementDtype=n,null!=e&&e.forEach((function(e){if(n!==e.dtype)throw new Error("Invalid data types; op elements "+n+", but list elements "+e.dtype);DO(t,e.shape,"TensorList shape mismatch: "),lx(e)})),this.idTensor=sk(0),this.maxNumElements=r,lx(this.idTensor)}var t=e.prototype;return t.copy=function(){return new e([].concat(this.tensors),this.elementShape,this.elementDtype)},t.clearAndClose=function(e){this.tensors.forEach((function(t){null!=e&&e.has(t.id)||t.dispose()})),this.tensors.length=0,this.idTensor.dispose()},t.size=function(){return this.tensors.length},t.stack=function(e,t,n){var r=this;if(void 0===n&&(n=-1),t!==this.elementDtype)throw new Error("Invalid data types; op elements "+t+", but list elements "+this.elementDtype);if(-1!==n&&this.tensors.length!==n)throw new Error("Operation expected a list with "+n+" elements but got a list with "+this.tensors.length+" elements.");return DO(e,this.elementShape,"TensorList shape mismatch: "),sx((function(){var t=r.tensors.map((function(t){return gb(t,e)}));return ZS(t,0)}))},t.popBack=function(e,t){if(t!==this.elementDtype)throw new Error("Invalid data types; op elements "+t+", but list elements "+this.elementDtype);if(0===this.size())throw new Error("Trying to pop from an empty list.");var n=this.tensors.pop();return DO(n.shape,e,"TensorList shape mismatch: "),gb(n,e)},t.pushBack=function(e){if(e.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+e.dtype+", but list elements "+this.elementDtype);if(DO(e.shape,this.elementShape,"TensorList shape mismatch: "),this.maxNumElements===this.size())throw new Error("Trying to push element into a full list.");lx(e),this.tensors.push(e)},t.resize=function(e){if(e<0)throw new Error("TensorListResize expects size to be non-negative. Got: "+e);if(-1!==this.maxNumElements&&e>this.maxNumElements)throw new Error("TensorListResize input size "+e+" is greater maxNumElement "+this.maxNumElements+".");this.tensors.length=e},t.getItem=function(e,t,n){if(n!==this.elementDtype)throw new Error("Invalid data types; op elements "+n+", but list elements "+this.elementDtype);if(e<0||e>this.tensors.length)throw new Error("Trying to access element "+e+" in a list with "+this.tensors.length+" elements.");if(null==this.tensors[e])throw new Error("element at index "+e+" is null.");return DO(this.tensors[e].shape,t,"TensorList shape mismatch: "),this.tensors[e]},t.setItem=function(e,t){if(t.dtype!==this.elementDtype)throw new Error("Invalid data types; op elements "+t.dtype+", but list elements "+this.elementDtype);if(e<0||-1!==this.maxNumElements&&e>=this.maxNumElements)throw new Error("Trying to set element "+e+" in a list with max "+this.maxNumElements+" elements.");DO(this.elementShape,t.shape,"TensorList shape mismatch: "),lx(t),this.tensors[e]=t},t.gather=function(e,t,n){var r=this;if(t!==this.elementDtype)throw new Error("Invalid data types; op elements "+t+", but list elements "+this.elementDtype);return DO(this.elementShape,n,"TensorList shape mismatch: "),0===(e=e.slice(0,this.size())).length?ny([],[0].concat(this.elementShape)):sx((function(){var t=e.map((function(e){return gb(r.tensors[e],n)}));return ZS(t,0)}))},t.concat=function(e,t){var n=this;if(e&&e!==this.elementDtype)throw new Error("TensorList dtype is "+this.elementDtype+" but concat requested dtype "+e);return DO(this.elementShape,t,"TensorList shape mismatch: "),0===this.size()?ny([],[0].concat(this.elementShape)):sx((function(){var e=n.tensors.map((function(e){return gb(e,t)}));return tw(e,0)}))},Hm(e,[{key:"id",get:function(){return this.idTensor.id}}]),e}();function OO(e,t,n){var r=e.dtype;if(e.shape.length<1)throw new Error("Tensor must be at least a vector, but saw shape: "+e.shape);if(e.dtype!==n)throw new Error("Invalid data types; op elements "+e.dtype+", but list elements "+n);DO(e.shape.slice(1),t,"TensorList shape mismatch: ");var a=sN(e);return new FO(a,t,r)}function MO(e,t,n){return new FO([],e,t,n)}function LO(e,t,n,r){if(t.length!==e.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+t.length+" vs. "+e.shape[0]);var a=Math.max.apply(Math,t);if(null!=r&&-1!==r&&a>

17=r)throw new Error("Max index must be < array size ("+a+"  vs. "+r+")");var i=new FO([],n,e.dtype,r),o=sN(e,0);return t.forEach((function(e,t){i.setItem(e,o[t])})),i}function zO(e,t,n){var r=0,a=t.map((function(e){return r+=e}));if(r!==e.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+r+", and tensor's shape is: "+e.shape);for(var i=0===r?0:e.size/r,o=sx((function(){var o=[];e=gb(e,[1,r,i]);for(var s=0;s<t.length;++s){var u=[0,0===s?0:a[s-1],0],l=[1,t[s],i];o[s]=gb(rw(e,u,l),n)}return e.dispose(),o})),s=new FO([],n,e.dtype,t.length),u=0;u<o.length;u++)s.setItem(u,o[u]);return s}var BO=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,S,N,I,C,R,E,A,T,D,_,F,O,M,L,z,B,P,W,V,U,G,j,H,q,K,X,Y,J,Z,Q,$,ee,te,ne,re,ae,ie,oe,se,ue,le,ce,pe,he,fe,de,me,ve,ge,ye,be,xe,we,ke,Se,Ne,Ie,Ce,Re,Ee,Ae,Te,De,_e,Fe,Oe,Me,Le,ze,Be,Pe,We,Ve,Ue,Ge,je;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="If"===e.t0||"StatelessIf"===e.t0?3:"While"===e.t0||"StatelessWhile"===e.t0?15:"LoopCond"===e.t0?19:"Switch"===e.t0?21:"Merge"===e.t0?32:"Enter"===e.t0?37:"Exit"===e.t0?41:"NextIteration"===e.t0?44:"TensorArrayV3"===e.t0?47:"TensorArrayWriteV3"===e.t0?57:"TensorArrayReadV3"===e.t0?63:"TensorArrayGatherV3"===e.t0?67:"TensorArrayScatterV3"===e.t0?72:"TensorArrayConcatV3"===e.t0?78:"TensorArraySplitV3"===e.t0?82:"TensorArraySizeV3"===e.t0?88:"TensorArrayCloseV3"===e.t0?91:"TensorListSetItem"===e.t0?95:"TensorListGetItem"===e.t0?101:"TensorListScatterV2"===e.t0||"TensorListScatter"===e.t0?107:"TensorListReserve"===e.t0?114:"TensorListGather"===e.t0?120:"TensorListStack"===e.t0?126:"TensorListFromTensor"===e.t0?132:"TensorListConcat"===e.t0?138:"TensorListPushBack"===e.t0?143:"TensorListPopBack"===e.t0?148:"TensorListSplit"===e.t0?153:159;break;case 3:return a=qF("thenBranch",t,n,r),i=qF("elseBranch",t,n,r),o=qF("cond",t,n,r),s=qF("args",t,n,r),e.next=9,o.data();case 9:if(!e.sent[0]){e.next=14;break}return e.abrupt("return",r.functionMap[a].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 14:return e.abrupt("return",r.functionMap[i].executeFunctionAsync(s,r.tensorArrayMap,r.tensorListMap));case 15:return e.delegateYield(regeneratorRuntime.mark((function e(){var a,i,o,s,u,l,c,p;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return a=qF("body",t,n,r),i=qF("cond",t,n,r),o=qF("args",t,n,r),e.next=5,r.functionMap[i].executeFunctionAsync(o,r.tensorArrayMap,r.tensorListMap);case 5:return s=e.sent,u=o.map((function(e){return e.id})),e.next=9,s[0].data();case 9:l=e.sent,s.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||e.dispose()})),c=o,p=regeneratorRuntime.mark((function e(){var t,n,o;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=c,e.next=3,r.functionMap[a].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 3:return c=e.sent,n=c.map((function(e){return e.id})),t.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()})),e.next=8,r.functionMap[i].executeFunctionAsync(c,r.tensorArrayMap,r.tensorListMap);case 8:return o=e.sent,e.next=11,o[0].data();case 11:l=e.sent,o.forEach((function(e){e.kept||-1!==u.indexOf(e.id)||-1!==n.indexOf(e.id)||e.dispose()}));case 13:case"end":return e.stop()}}),e)}));case 13:if(!l[0]){e.next=17;break}return e.delegateYield(p(),"t0",15);case 15:e.next=13;break;case 17:return e.abrupt("return",{v:c});case 18:case"end":return e.stop()}}),e)}))(),"t1",16);case 16:if("object"!=typeof(u=e.t1)){e.next=19;break}return e.abrupt("return",u.v);case 19:return l=qF("pred",t,n,r),e.abrupt("return",[QF(l)]);case 21:return c=qF("pred",t,n,r),(p=qF("data",t,n,r)).kept||(p=QF(p)),e.next=26,c.data();case 26:if(!e.sent[0]){e.next=30;break}e.t2=[void 0,p],e.next=31;break;case 30:e.t2=[p,void 0];case 31:return e.abrupt("return",e.t2);case 32:if(!(h=t.inputNames.find((function(e){return void 0!==KF(e,n,r)})))){e.next=36;break}return f=KF(h,n,r),e.abrupt("return",[QF(f)]);case 36:return e.abrupt("return",void 0);case 37:return d=qF("frameName",t,n,r),m=qF("tensor",t,n,r),r.enterFrame

17(d),e.abrupt("return",[QF(m)]);case 41:return v=qF("tensor",t,n,r),r.exitFrame(),e.abrupt("return",[QF(v)]);case 44:return g=qF("tensor",t,n,r),r.nextIteration(),e.abrupt("return",[QF(g)]);case 47:return y=qF("size",t,n,r),b=qF("dtype",t,n,r),x=qF("elementShape",t,n,r),w=qF("dynamicSize",t,n,r),k=qF("clearAfterRead",t,n,r),S=qF("identicalElementShapes",t,n,r),N=qF("name",t,n,r),I=new _O(N,b,y,x,S,w,k),r.addTensorArray(I),e.abrupt("return",[I.idTensor,sk(1)]);case 57:return C=qF("tensorArrayId",t,n,r),R=qF("index",t,n,r),E=qF("tensor",t,n,r),(A=r.getTensorArray(C.id)).write(R,E),e.abrupt("return",[A.idTensor]);case 63:return T=qF("tensorArrayId",t,n,r),D=qF("index",t,n,r),_=r.getTensorArray(T.id),e.abrupt("return",[_.read(D)]);case 67:return F=qF("tensorArrayId",t,n,r),O=qF("indices",t,n,r),M=qF("dtype",t,n,r),L=r.getTensorArray(F.id),e.abrupt("return",[L.gather(O,M)]);case 72:return z=qF("tensorArrayId",t,n,r),B=qF("indices",t,n,r),P=qF("tensor",t,n,r),(W=r.getTensorArray(z.id)).scatter(B,P),e.abrupt("return",[W.idTensor]);case 78:return V=qF("tensorArrayId",t,n,r),U=r.getTensorArray(V.id),G=qF("dtype",t,n,r),e.abrupt("return",[U.concat(G)]);case 82:return j=qF("tensorArrayId",t,n,r),H=qF("tensor",t,n,r),q=qF("lengths",t,n,r),(K=r.getTensorArray(j.id)).split(q,H),e.abrupt("return",[K.idTensor]);case 88:return X=qF("tensorArrayId",t,n,r),Y=r.getTensorArray(X.id),e.abrupt("return",[sk(Y.size(),"int32")]);case 91:return J=qF("tensorArrayId",t,n,r),(Z=r.getTensorArray(J.id)).clearAndClose(),e.abrupt("return",[Z.idTensor]);case 95:return Q=qF("tensorListId",t,n,r),$=qF("index",t,n,r),ee=qF("tensor",t,n,r),(te=r.getTensorList(Q.id)).setItem($,ee),e.abrupt("return",[te.idTensor]);case 101:return ne=qF("tensorListId",t,n,r),re=qF("index",t,n,r),ae=qF("elementShape",t,n,r),ie=qF("elementDType",t,n,r),oe=r.getTensorList(ne.id),e.abrupt("return",[oe.getItem(re,ae,ie)]);case 107:return se=qF("indices",t,n,r),ue=qF("tensor",t,n,r),le=qF("elementShape",t,n,r),ce=qF("numElements",t,n,r),pe=LO(ue,se,le,ce),r.addTensorList(pe),e.abrupt("return",[pe.idTensor]);case 114:return he=qF("elementShape",t,n,r),fe=qF("elementDType",t,n,r),de=qF("numElements",t,n,r),me=MO(he,fe,de),r.addTensorList(me),e.abrupt("return",[me.idTensor]);case 120:return ve=qF("tensorListId",t,n,r),ge=qF("indices",t,n,r),ye=qF("elementShape",t,n,r),be=qF("elementDType",t,n,r),xe=r.getTensorList(ve.id),e.abrupt("return",[xe.gather(ge,be,ye)]);case 126:return we=qF("tensorListId",t,n,r),ke=qF("elementShape",t,n,r),Se=qF("elementDType",t,n,r),Ne=qF("numElements",t,n,r),Ie=r.getTensorList(we.id),e.abrupt("return",[Ie.stack(ke,Se,Ne)]);case 132:return Ce=qF("tensor",t,n,r),Re=qF("elementShape",t,n,r),Ee=qF("elementDType",t,n,r),Ae=OO(Ce,Re,Ee),r.addTensorList(Ae),e.abrupt("return",[Ae.idTensor]);case 138:return Te=qF("tensorListId",t,n,r),De=r.getTensorList(Te.id),_e=qF("dtype",t,n,r),Fe=qF("elementShape",t,n,r),e.abrupt("return",[De.concat(_e,Fe)]);case 143:return Oe=qF("tensorListId",t,n,r),Me=qF("tensor",t,n,r),(Le=r.getTensorList(Oe.id)).pushBack(Me),e.abrupt("return",[Le.idTensor]);case 148:return ze=qF("tensorListId",t,n,r),Be=qF("elementShape",t,n,r),Pe=qF("elementDType",t,n,r),We=r.getTensorList(ze.id),e.abrupt("return",[We.popBack(Be,Pe)]);case 153:return Ve=qF("tensor",t,n,r),Ue=qF("elementShape",t,n,r),Ge=qF("lengths",t,n,r),je=zO(Ve,Ge,Ue),r.addTensorList(je),e.abrupt("return",[je.idTensor]);case 159:throw TypeError("Node type "+t.op+" is not implemented");case 160:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function PO(e,t,n){var r=qF("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s="prelu"===i,u="fusedbatchnorm"===a,l=qF("numArgs",e,t,n);if(o){if(s&&2!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!s&&1!==l)throw new Error("FusedConv2d and DepthwiseConv2d with BiasAdd must have one extra argument: bias.")}if(u)throw new Error("FusedConv2d and DepthwiseConv2d with FusedBatchNorm is not supported.");

17var c=qF("strides",e,t,n),p=ZF(e,t,n),h=qF("dataFormat",e,t,n).toUpperCase(),f=qF("dilations",e,t,n),d=qF("args",e,t,n);return{stride:c,pad:p,dataFormat:h,dilations:f,biasArg:d[0],preluArg:d[1],activationFunc:i}}function WO(e,t,n){return{boxes:qF("boxes",e,t,n),scores:qF("scores",e,t,n),maxOutputSize:qF("maxOutputSize",e,t,n),iouThreshold:qF("iouThreshold",e,t,n),scoreThreshold:qF("scoreThreshold",e,t,n),softNmsSigma:qF("softNmsSigma",e,t,n)}}var VO=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n,r){var a,i,o,s,u,l,c,p,h,f,d,m,v,g,y,b,x,w,k,S,N,I,C,R;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:e.t0=t.op,e.next="NonMaxSuppressionV5"===e.t0?3:"NonMaxSuppressionV4"===e.t0?8:"NonMaxSuppressionV3"===e.t0||"NonMaxSuppressionV2"===e.t0?14:"Where"===e.t0?19:"ListDiff"===e.t0?26:27;break;case 3:return a=WO(t,n,r),i=a.boxes,o=a.scores,s=a.maxOutputSize,u=a.iouThreshold,l=a.scoreThreshold,c=a.softNmsSigma,e.next=6,WI.nonMaxSuppressionWithScoreAsync(i,o,s,u,l,c);case 6:return p=e.sent,e.abrupt("return",[p.selectedIndices,p.selectedScores]);case 8:return h=WO(t,n,r),f=h.boxes,d=h.scores,m=h.maxOutputSize,v=h.iouThreshold,g=h.scoreThreshold,y=qF("padToMaxOutputSize",t,n,r),e.next=12,WI.nonMaxSuppressionPaddedAsync(f,d,m,v,g,y);case 12:return b=e.sent,e.abrupt("return",[b.selectedIndices,b.validOutputs]);case 14:return x=WO(t,n,r),w=x.boxes,k=x.scores,S=x.maxOutputSize,N=x.iouThreshold,I=x.scoreThreshold,e.next=17,WI.nonMaxSuppressionAsync(w,k,S,N,I);case 17:return e.t1=e.sent,e.abrupt("return",[e.t1]);case 19:return C=Jy(qF("condition",t,n,r),"bool"),e.next=22,pN(C);case 22:return e.t2=e.sent,R=[e.t2],C.dispose(),e.abrupt("return",R);case 26:return e.abrupt("return",FS(qF("x",t,n,r),qF("y",t,n,r)));case 27:throw TypeError("Node type "+t.op+" is not implemented");case 28:case"end":return e.stop()}}),e)})));return function(t,n,r){return e.apply(this,arguments)}}();function UO(e,t,n){var r=function(e,t,n){switch(e.category){case"arithmetic":return sx((function(){return function(e,t,n){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[fx(qF("a",e,t,n),qF("b",e,t,n))];case"AddN":return[xx(qF("tensors",e,t,n))];case"FloorMod":case"Mod":return[Bk(qF("a",e,t,n),qF("b",e,t,n))];case"Mul":return[vx(qF("a",e,t,n),qF("b",e,t,n))];case"RealDiv":case"Div":return[mx(qF("a",e,t,n),qF("b",e,t,n))];case"DivNoNan":return[Pw(qF("a",e,t,n),qF("b",e,t,n))];case"FloorDiv":return[dx(qF("a",e,t,n),qF("b",e,t,n))];case"Sub":return[kk(qF("a",e,t,n),qF("b",e,t,n))];case"Minimum":return[zk(qF("a",e,t,n),qF("b",e,t,n))];case"Maximum":return[ok(qF("a",e,t,n),qF("b",e,t,n))];case"Pow":return[eS(qF("a",e,t,n),qF("b",e,t,n))];case"SquaredDifference":return[YS(qF("a",e,t,n),qF("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"basic_math":return sx((function(){return function(e,t,n){switch(e.op){case"Abs":case"ComplexAbs":return[gx(qF("x",e,t,n))];case"Acos":return[yx(qF("x",e,t,n))];case"Acosh":return[bx(qF("x",e,t,n))];case"Asin":return[Fx(qF("x",e,t,n))];case"Asinh":return[Ox(qF("x",e,t,n))];case"Atan":return[Mx(qF("x",e,t,n))];case"Atan2":return[Lx(qF("x",e,t,n),qF("y",e,t,n))];case"Atanh":return[zx(qF("x",e,t,n))];case"Ceil":return[fw(qF("x",e,t,n))];case"Complex":return[ey(qF("real",e,t,n),qF("imag",e,t,n))];case"Cos":return[Cw(qF("x",e,t,n))];case"Cosh":return[Rw(qF("x",e,t,n))];case"Elu":return[Vw(qF("x",e,t,n))];case"Erf":return[Uw(qF("x",e,t,n))];case"Exp":return[Gw(qF("x",e,t,n))];case"Expm1":return[Hw(qF("x",e,t,n))];case"Floor":return[Yw(qF("x",e,t,n))];case"Log":return[fk(qF("x",e,t,n))];case"Log1p":return[dk(qF("x",e,t,n))];case"Imag":return[nk(qF("x",e,t,n))];case"Neg":return[yk(qF("x",e,t,n))];case"Reciprocal":return[xS(qF("x",e,t,n))];case"Real":return[jk(qF("x",e,t,n))];case"Relu":return[wS(qF("x",e,t,n))];case"Round":return[ES(qF("x",e,t,n))];case"Selu":return[TS(qF("x",e,t,n))];case"Sigmoid":return[nw(qF("x",e,t,n))];case"Sin":return[MS(qF("x",e,t,n))];case"Sign":return[OS(qF("x",e,t,n))];case"Sinh":return[LS(qF("x",e,t,n))];case"Softplus":return[bk(qF("x",e,t,n))];case"Sqrt":return[XS(qF("x",e,t,n))];case"Square":return[Pk(qF("x",e,t,n))];case"Tanh":return[aw(qF("x",e,t,n))];case"Tan":return[eN(qF("x",e,t,n))];case"Relu6":case"ClipByValue":return[dw(qF("x",e,t,n),qF("clipValueMin",e,t,n),qF("clipValueMax",e,t,n))];case"Rsqrt":return[AS(KF(e.inputNames[0],t,n))];case"Prod":return[nS(qF("x",e,t,n),qF("axes",e,t,n))];case"LeakyRelu":return[uk(qF("x",e,t,n),qF("alpha",e,t,n))];case"Prelu":return[tS(qF("x",e,t,n),qF("alpha",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}

17(e,t,n)}));case"control":return BO(e,t,n);case"convolution":return sx((function(){return function(e,t,n){switch(e.op){case"Conv1D":var r=qF("stride",e,t,n),a=qF("pad",e,t,n),i=qF("dataFormat",e,t,n).toUpperCase(),o=qF("dilation",e,t,n);return[xw(qF("x",e,t,n),qF("filter",e,t,n),r,a,i,o)];case"Conv2D":var s=qF("strides",e,t,n),u=ZF(e,t,n),l=qF("dataFormat",e,t,n).toUpperCase(),c=qF("dilations",e,t,n);return[bw(qF("x",e,t,n),qF("filter",e,t,n),[s[1],s[2]],u,l,[c[1],c[2]])];case"_FusedConv2D":var p=PO(e,t,n),h=p.stride,f=p.pad,d=p.dataFormat,m=p.dilations,v=p.biasArg,g=p.preluArg,y=p.activationFunc;return[jN({x:qF("x",e,t,n),filter:qF("filter",e,t,n),strides:[h[1],h[2]],pad:f,dataFormat:d,dilations:[m[1],m[2]],bias:v,activation:y,preluActivationWeights:g})];case"FusedDepthwiseConv2dNative":var b=PO(e,t,n),x=b.stride,w=b.pad,k=b.dataFormat,S=b.dilations,N=b.biasArg,I=b.preluArg,C=b.activationFunc;return[KN({x:qF("x",e,t,n),filter:qF("filter",e,t,n),strides:[x[1],x[2]],pad:w,dataFormat:k,dilations:[S[1],S[2]],bias:N,activation:C,preluActivationWeights:I})];case"Conv2DBackpropInput":case"Conv2dTranspose":var R=qF("outputShape",e,t,n),E=qF("strides",e,t,n),A=ZF(e,t,n);return[kw(qF("x",e,t,n),qF("filter",e,t,n),R,[E[1],E[2]],A)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":var T=qF("strides",e,t,n),D=ZF(e,t,n),_=qF("dilations",e,t,n),F=qF("dataFormat",e,t,n).toUpperCase();return[Tw(qF("input",e,t,n),qF("filter",e,t,n),[T[1],T[2]],D,F,[_[1],_[2]])];case"Conv3D":var O=qF("strides",e,t,n),M=qF("pad",e,t,n),L=qF("dataFormat",e,t,n).toUpperCase(),z=qF("dilations",e,t,n);return[Sw(qF("x",e,t,n),qF("filter",e,t,n),[O[1],O[2],O[3]],M,L,[z[1],z[2],z[3]])];case"AvgPool":var B=qF("strides",e,t,n),P=qF("pad",e,t,n),W=qF("kernelSize",e,t,n);return[Zx(qF("x",e,t,n),[W[1],W[2]],[B[1],B[2]],P)];case"MaxPool":var V=qF("strides",e,t,n),U=qF("pad",e,t,n),G=qF("kernelSize",e,t,n);return[Tk(qF("x",e,t,n),[G[1],G[2]],[V[1],V[2]],U)];case"MaxPoolWithArgmax":var j=qF("strides",e,t,n),H=qF("pad",e,t,n),q=qF("kernelSize",e,t,n),K=qF("includeBatchInIndex",e,t,n),X=_k(qF("x",e,t,n),[q[1],q[2]],[j[1],j[2]],H,K);

17return[X.result,X.indexes];case"AvgPool3D":var Y=qF("strides",e,t,n),J=qF("pad",e,t,n),Z=qF("kernelSize",e,t,n);return[Qx(qF("x",e,t,n),[Z[1],Z[2],Z[3]],[Y[1],Y[2],Y[3]],J)];case"MaxPool3D":var Q=qF("strides",e,t,n),$=qF("pad",e,t,n),ee=qF("kernelSize",e,t,n);return[Dk(qF("x",e,t,n),[ee[1],ee[2],ee[3]],[Q[1],Q[2],Q[3]],$)];case"Dilation2D":var te=qF("strides",e,t,n),ne=qF("pad",e,t,n),re=qF("dilations",e,t,n),ae=te[1],ie=te[2],oe=re[1],se=re[2];return[_w(qF("x",e,t,n),qF("filter",e,t,n),[ae,ie],ne,[oe,se],"NHWC")];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"creation":return sx((function(){return function(e,t,n){switch(e.op){case"Fill":var r=qF("shape",e,t,n),a=qF("dtype",e,t,n);return[Xw(r,qF("value",e,t,n),a)];case"LinSpace":return[pk(qF("start",e,t,n),qF("stop",e,t,n),qF("num",e,t,n))];case"Multinomial":var i=qF("logits",e,t,n),o=qF("numSamples",e,t,n),s=qF("seed",e,t,n);return[Uk(i,o,s)];case"OneHot":var u=qF("indices",e,t,n),l=qF("depth",e,t,n),c=qF("onValue",e,t,n),p=qF("offValue",e,t,n);return[bb(u,l,c,p)];case"Ones":return[Ok(qF("shape",e,t,n),qF("dtype",e,t,n))];case"OnesLike":return[Hk(qF("x",e,t,n))];case"RandomUniform":return[gS(qF("shape",e,t,n),qF("minval",e,t,n),qF("maxval",e,t,n),qF("dtype",e,t,n))];case"Range":return[bS(qF("start",e,t,n),qF("stop",e,t,n),qF("step",e,t,n),qF("dtype",e,t,n))];case"TruncatedNormal":var h=qF("shape",e,t,n),f=qF("mean",e,t,n),d=qF("stdDev",e,t,n),m=qF("seed",e,t,n);return[aN(h,f,d,qF("dtype",e,t,n),m)];case"Zeros":return[Fk(qF("shape",e,t,n),qF("dtype",e,t,n))];case"ZerosLike":return[Bw(qF("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"dynamic":return VO(e,t,n);case"evaluation":return sx((function(){return function(e,t,n){switch(e.op){case"TopKV2":var r=qF("x",e,t,n),a=qF("k",e,t,n),i=qF("sorted",e,t,n),o=rN(r,a,i);return[o.values,o.indices];case"Unique":var s=qF("x",e,t,n),u=iN(s);return[u.values,u.indices];case"UniqueV2":var l=qF("x",e,t,n),c=qF("axis",e,t,n),p=iN(l,c);return[p.values,p.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"image":return sx((function(){return function(e,t,n){switch(e.op){case"ResizeBilinear":var r=qF("images",e,t,n),a=qF("size",e,t,n),i=qF("alignCorners",e,t,n);return[WI.resizeBilinear(r,[a[0],a[1]],i)];case"ResizeNearestNeighbor":var o=qF("images",e,t,n),s=qF("size",e,t,n),u=qF("alignCorners",e,t,n);return[WI.resizeNearestNeighbor(o,[s[0],s[1]],u)];case"CropAndResize":var l=qF("image",e,t,n),c=qF("boxes",e,t,n),p=qF("boxInd",e,t,n),h=qF("cropSize",e,t,n),f=qF("method",e,t,n),d=qF("extrapolationValue",e,t,n);return[WI.cropAndResize(l,c,p,h,f,d)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"graph":return sx((function(){return function(e,t,n){switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var r=qF("default",e,t,n);return[KF(e.name,t,n)||r];case"Placeholder":return[KF(e.name,t,n)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[QF(qF("x",e,t,n))];case"IdentityN":return qF("x",e,t,n).map((function(e){return QF(e)}));case"Snapshot":return[QF(qF("x",e,t,n))];case"Shape":return[yS(qF("x",e,t,n).shape,"int32")];case"ShapeN":return qF("x",e,t,n).map((function(e){return yS(e.shape)}));case"Size":return[sk(qF("x",e,t,n).size,"int32")];case"Rank":return[sk(qF("x",e,t,n).rank,"int32")];case"NoOp":return[sk(1)];case"Print":var a=qF("x",e,t,n),i=qF("data",e,t,n),o=qF("message",e,t,n),s=qF("summarize",e,t,n);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(o);for(var u=0;u<i.length;u++)console.log(Array.prototype.slice.call(i[u].dataSync()).slice(0,s));return[a];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"logical":return sx((function(){return function(e,t,n){switch(e.op){case"Equal":return[Lw(qF("a",e,t,n),qF("b",e,t,n))];case"NotEqual":return[Gk(qF("a",e,t,n),qF("b",e,t,n))];case"Greater":return[ek(qF("a",e,t,n),qF("b",e,t,n))];case"GreaterEqual":return[tk(qF("a",e,t,n),qF("b",e,t,n))];case"Less":return[lk(qF("a",e,t,n),qF("b",e,t,n))];case"LessEqual":return[ck(qF("a",e,t,n),qF("b",e,t,n))];case"LogicalAnd":return[Ck(qF("a",e,t,n),qF("b",e,t,n))];case"LogicalNot":return[Rk(qF("a",e,t,n))];case"LogicalOr":return[Ek(qF("a",e,t,n),qF("b",e,t,n))];case"Select":case"SelectV2":return[zw(qF("condition",e,t,n),qF("a",e,t,n),qF("b",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}

17(e,t,n)}));case"matrices":return sx((function(){return function(e,t,n){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[yb(qF("a",e,t,n),qF("b",e,t,n),qF("transposeA",e,t,n),qF("transposeB",e,t,n))];case"Transpose":return[xb(qF("x",e,t,n),qF("perm",e,t,n))];case"_FusedMatMul":var r=qF("fusedOps",e,t,n),a=r[0],i=r[1],o="biasadd"===a,s="prelu"===i,u=qF("numArgs",e,t,n);if(o){if(s&&2!==u)throw new Error("Fused MatMul with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!s&&1!==u)throw new Error("Fused MatMul with BiasAdd must have one extra argument: bias.")}var l=qF("args",e,t,n),c=l[0],p=l[1];return[XN({a:qF("a",e,t,n),b:qF("b",e,t,n),transposeA:qF("transposeA",e,t,n),transposeB:qF("transposeB",e,t,n),bias:c,activation:i,preluActivationWeights:p})];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"normalization":return sx((function(){return function(e,t,n){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[uw(qF("x",e,t,n),qF("mean",e,t,n),qF("variance",e,t,n),qF("offset",e,t,n),qF("scale",e,t,n),qF("epsilon",e,t,n))];case"LRN":return[hk(qF("x",e,t,n),qF("radius",e,t,n),qF("bias",e,t,n),qF("alpha",e,t,n),qF("beta",e,t,n))];case"Softmax":return[VS(qF("x",e,t,n))];case"LogSoftmax":return[Nk(qF("x",e,t,n))];case"SparseToDense":return[_N(qF("sparseIndices",e,t,n),qF("outputShape",e,t,n),qF("sparseValues",e,t,n),qF("defaultValue",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"reduction":return sx((function(){return function(e,t,n){switch(e.op){case"Max":var r=qF("axis",e,t,n),a=qF("keepDims",e,t,n);return[wk(qF("x",e,t,n),r,a)];case"Mean":var i=qF("axis",e,t,n),o=qF("keepDims",e,t,n);return[Mk(qF("x",e,t,n),i,o)];case"Min":var s=qF("axis",e,t,n),u=qF("keepDims",e,t,n);return[Lk(qF("x",e,t,n),s,u)];case"Sum":var l=qF("axis",e,t,n),c=qF("keepDims",e,t,n);return[Sk(qF("x",e,t,n),l,c)];case"All":var p=qF("axis",e,t,n),h=qF("keepDims",e,t,n);return[Ax(qF("x",e,t,n),p,h)];case"Any":var f=qF("axis",e,t,n),d=qF("keepDims",e,t,n);return[Tx(qF("x",e,t,n),f,d)];case"ArgMax":var m=qF("axis",e,t,n);return[Dx(qF("x",e,t,n),m)];case"ArgMin":var v=qF("axis",e,t,n);return[_x(qF("x",e,t,n),v)];case"Prod":var g=qF("axis",e,t,n),y=qF("keepDims",e,t,n);return[nS(qF("x",e,t,n),g,y)];case"Cumsum":var b=qF("axis",e,t,n),x=qF("exclusive",e,t,n),w=qF("reverse",e,t,n);return[Ew(qF("x",e,t,n),b,x,w)];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"slice_join":return sx((function(){return function(e,t,n){switch(e.op){case"ConcatV2":case"Concat":var r=qF("n",e,t,n),a=qF("axis",e,t,n),i=qF("tensors",e,t,n);return i=i.slice(0,r),[tw(i,a)];case"GatherV2":case"Gather":var o=qF("axis",e,t,n),s=qF("x",e,t,n),u=qF("indices",e,t,n);return[$w(s,Jy(u,"int32"),o)];case"ReverseV2":case"Reverse":var l=qF("axis",e,t,n),c=qF("x",e,t,n);return[SS(c,l)];case"Slice":var p=qF("begin",e,t,n),h=qF("size",e,t,n);return[rw(qF("x",e,t,n),p,h)];case"StridedSlice":var f=qF("begin",e,t,n),d=qF("end",e,t,n),m=qF("strides",e,t,n),v=qF("beginMask",e,t,n),g=qF("endMask",e,t,n),y=qF("ellipsisMask",e,t,n),b=qF("newAxisMask",e,t,n),x=qF("shrinkAxisMask",e,t,n),w=qF("x",e,t,n);return[$S(w,f,d,m,v,g,y,b,x)];case"Pack":return sx((function(){var r=qF("axis",e,t,n),a=qF("tensors",e,t,n),i=a[0].shape,o=JS(a[0]).shape,s=a.map((function(e){var t=Fv(e.shape,i);if(!t&&!Fv(JS(e).shape,o))throw new Error("the input tensors shape does not match");return t?e:gb(e,i)}));return[ZS(s,r)]}));case"Unpack":var k=qF("axis",e,t,n),S=qF("tensor",e,t,n);return sN(S,k);case"Tile":var N=qF("reps",e,t,n);return[qw(qF("x",e,t,n),N)];case"Split":case"SplitV":var I=qF("axis",e,t,n),C=qF("numOrSizeSplits",e,t,n),R=qF("x",e,t,n);return qS(R,C,I);case"ScatterNd":var E=qF("indices",e,t,n),A=qF("values",e,t,n),T=qF("shape",e,t,n);return[DN(E,A,T)];case"GatherNd":var D=qF("x",e,t,n),_=qF("indices",e,t,n);return[FN(D,_)];case"SparseToDense":var F=qF("sparseIndices",e,t,n),O=qF("outputShape",e,t,n),M=qF("sparseValues",e,t,n),L=qF("defaultValue",e,t,n);return[_N(F,M,O,M.dtype===L.dtype?L:Jy(L,M.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}}

17(e,t,n)}));case"spectral":return sx((function(){return function(e,t,n){switch(e.op){case"FFT":return[US(qF("x",e,t,n))];case"IFFT":return[GS(qF("x",e,t,n))];case"RFFT":return[KS(qF("x",e,t,n))];case"IRFFT":return[jS(qF("x",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"transformation":return sx((function(){return function(e,t,n){switch(e.op){case"Cast":return[Jy(qF("x",e,t,n),qF("dtype",e,t,n))];case"ExpandDims":var r=qF("axis",e,t,n);return[jw(qF("x",e,t,n),r)];case"Squeeze":var a=qF("axis",e,t,n);return[JS(qF("x",e,t,n),a)];case"Reshape":return[gb(qF("x",e,t,n),qF("shape",e,t,n))];case"PadV2":case"Pad":return[Kk(qF("x",e,t,n),qF("padding",e,t,n),qF("constantValue",e,t,n))];case"SpaceToBatchND":var i=qF("blockShape",e,t,n),o=qF("paddings",e,t,n);return[Qk(qF("x",e,t,n),i,o)];case"BatchToSpaceND":var s=qF("blockShape",e,t,n),u=qF("crops",e,t,n);return[ow(qF("x",e,t,n),s,u)];case"DepthToSpace":var l=qF("blockSize",e,t,n),c=qF("dataFormat",e,t,n).toUpperCase();return[Aw(qF("x",e,t,n),l,c)];case"BroadcastTo":return[hw(qF("x",e,t,n),qF("shape",e,t,n))];default:throw TypeError("Node type "+e.op+" is not implemented")}}(e,t,n)}));case"custom":var r=HF(e.op);if(r&&r.customExecutor)return r.customExecutor(new TO(e,t,n));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,n);return r instanceof Promise?r.then((function(e){return[].concat(e)})):[].concat(r)}var GO=function(){function e(e,t,n,r){void 0===e&&(e={}),void 0===t&&(t={}),void 0===n&&(n={}),void 0===r&&(r={}),this.weightMap=e,this.tensorArrayMap=t,this.tensorListMap=n,this.functionMap=r,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}var t=e.prototype;return t.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},t.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var n=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(n))}e.push(""),this._currentContextIds=e},t.contextIdforContexts=function(e){return e?e.map((function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId})).join("/"):""},t.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},t.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},t.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},t.getWeight=function(e){return this.weightMap[e]},t.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},t.getTensorArray=function(e){return this.tensorArrayMap[e]},t.addTensorList=function(e){this.tensorListMap[e.id]=e},t.getTensorList=function(e){return this.tensorListMap[e]},t.dispose=function(e){for(var t in this.tensorArrayMap)this.tensorArrayMap[t].clearAndClose(e);for(var n in this.tensorListMap)this.tensorListMap[n].clearAndClose(e)},Hm(e,[{key:"currentContext",set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},get:function(){return this.contexts}},{key:"currentContextId",get:function(){return this._currentContextIds[0]}},{key:"currentContextIds",get:function(){return this._currentContextIds}}]),e}();function jO(e,t,n,r){var a=new Set,i=[],o=null,s=null,u=new Set,l=Object.keys(e).map((function(e){return JF(e)[0]})),c=[];null!=r&&(c=r.map((function(e){return JF(e.name)[0]})));for(var p=[].concat(t);p.length>0;){var h=p.pop();(KO(h)||XO(h))&&null==o&&(s=(o=h).children.map((function(e){return e.name})).filter((function(e){return a.has(e)}))),a.add(h.name),null==n[h.name]&&(-1===l.indexOf(h.name)&&-1===c.indexOf(h.name)&&(0!==h.inputs.length?h.inputs.forEac

17h((function(e){u.has(e.name)||(u.add(e.name),p.push(e))})):i.push(h.name)))}return{inputs:e,outputs:t,usedNodes:a,missingInputs:i,dynamicNode:o,syncInputs:s}}var HO=["Switch","Merge","Enter","Exit","NextIteration","StatelessIf","StatelessWhile","if","While"],qO=["NonMaxSuppressionV2","NonMaxSuppressionV3","NonMaxSuppressionV5","Where"];function KO(e){return HO.indexOf(e.op)>=0}function XO(e){return qO.indexOf(e.op)>=0}var YO=function(){function e(t,n){var r=this;this.graph=t,this.parent=n,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,null!=t.functions&&Object.keys(t.functions).forEach((function(n){r._functionExecutorMap[n]=new e(t.functions[n],r)}))}var t=e.prototype;return t.getCompilationKey=function(e,t){var n=e.map((function(e){return e.name})).sort(),r=t.map((function(e){return e.name})).sort();return n.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},t.compile=function(e,t){var n=jO(e,t,this.weightMap,this._initNodes),r=n.missingInputs,a=n.dynamicNode,i=n.syncInputs;if(null!=a)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 ["+i+"]");if(r.length>0){var o=t.map((function(e){return e.name})),s=Object.keys(e);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+s+"]. Missing the following inputs: ["+r+"]")}return function(e,t,n){var r=n.usedNodes,a=n.inputs,i=[],o=Object.keys(a).map((function(e){return JF(e)[0]})).map((function(t){return e.nodes[t]})),s=e.initNodes;o.forEach((function(e){r.has(e.name)&&i.push(e)})),e.weights.forEach((function(e){r.has(e.name)&&i.push(e)})),null!=s&&s.forEach((function(e){r.has(e.name)&&i.push(e)}));for(var u=new Set,l=[];i.length>0;){var c=i.pop();u.add(c.name),t[c.name]||l.push(c),c.children.forEach((function(e){!u.has(e.name)&&r.has(e.name)&&e.inputs.every((function(e){return u.has(e.name)}))&&i.push(e)}))}return l}(this.graph,this.weightMap,n)},t.execute=function(e,t){var n=this;e=this.mapInputs(e);var r=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),t=this.mapOutputs(t),this.checkOutputs(t);var a=r.map((function(e){return n.graph.nodes[JF(e)[0]]})),i=t.map((function(e){return JF(e)[0]})),o=i.map((function(e){return n.graph.nodes[e]}));0===o.length&&(o=this._outputs);var s=this.getCompilationKey(a,o),u=this.compiledMap.get(s);null==u&&(u=this.compile(e,o),this.compiledMap.set(s,u));var l={},c={};return sx((function(){var r=new GO(n.weightMap,l,c,n.functionExecutorMap),a=Object.assign({},n.weightMap);Object.keys(e).forEach((function(t){var n=JF(t),r=n[0],i=[];i[n[1]]=e[t],a[r]=i}));for(var o=n.getFrozenTensorIds(a),s={},p=0;p<u.length;p++){var h=u[p];if(!a[h.name]){var f=UO(h,a,r);if(f instanceof Promise)throw new Error("The execution of the op '"+h.op+"' returned a promise. Please use model.executeAsync() instead.");a[h.name]=f,n.checkTensorForDisposal(h.name,h,a,r,o,i,s)}}return null==n.parent&&r.dispose(o),t.map((function(e){return KF(e,a,r)}))}))},t.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map((function(t){return e[t]})).map((function(e){return e.map((function(e){return e.id}))})));return new Set(t)},t.checkTensorForDisposal=function(e,t,n,r,a,i,o){"control"!==t.category&&-1===i.indexOf(e)&&(n[e].forEach((function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)})),t.inputs.forEach((function(e){if("control"!==e.category){var t=function(e,t,n){return t[YF(e,n.currentContextId)]}(e.name,n,r);null!=t&&t.forEach((function(e){if(e&&!a.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}}))}})))},t.executeAsync=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n){return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.abrupt("return",this._executeAsync(t,n));case 1:case"end":return e.stop()}}),e,this)})));return function(t,n){return e.apply(this,arguments)}}(),t._executeAsync=function(){var e=Gm(regeneratorRuntime.mark((function e(t,n,r,a,i){var o,s,u,l,c,p;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return void 0===r&&(r=!1),void 0===a&&(a={}),void 0===i&&(i={}

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X=T*O+D*H+_*K,Y=u*(h-1-q)+l*(f-1-(K*w-V))+c*M,J=0;J<g;++J){j+=i[X+F*J]*o[Y+J]}a[C*O+R*L+E*W+A*M]=j}return r.toTensor()},n.conv3dDerInput=function(e,t,n){for(var r=Yy(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=i[3],c=this.readSync(e.dataId),p=e.strides,h=p[0],f=p[1],d=p[2],m=p[3],v=this.readSync(t.dataId),g=t.strides,y=g[0],b=g[1],x=g[2],w=g[3],k=n.batchSize,S=n.filterDepth,N=n.filterHeight,I=n.filterWidth,C=n.inChannels,R=n.inDepth,E=n.inHeight,A=n.inWidth,T=n.outChannels,D=n.outDepth,_=n.outHeight,F=n.outWidth,O=n.strideDepth,M=n.strideHeight,L=n.strideWidth,z=S-1-n.padInfo.front,B=N-1-n.padInfo.top,P=I-1-n.padInfo.left,W=0;W<k;++W)for(var V=0;V<C;++V)for(var U=0;U<R;++U)for(var G=U-z,j=Math.max(0,Math.ceil(G/O)),H=Math.min(D,(S+G)/O),q=0;q<E;++q)for(var K=q-B,X=Math.max(0,Math.ceil(K/M)),Y=Math.min(_,(N+K)/M),J=0;J<A;++J){for(var Z=J-P,Q=Math.max(0,Math.ceil(Z/L)),$=Math.min(F,(I+Z)/L),ee=0,te=j;te<H;++te)for(var ne=te*O-G,re=X;re<Y;++re)for(var ae=re*M-K,ie=Q;ie<$;++ie)for(var oe=h*W+f*te+d*re+m*ie,se=y*(S-1-ne)+b*(N-1-ae)+x*(I-1-(ie*L-Z))+w*V,ue=0;ue<T;++ue){ee+=c[oe+ue]*v[se+ue]}a[o*W+s*U+u*q+l*J+V]=ee}return r.toTensor()},n.conv2dDerFilter=function(e,t,n){iL([e,t],"conv2dDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s="channelsLast"===n.dataFormat,u=Yy(n.filterShape,"float32"),l=n.padInfo.left,c=n.padInfo.top,p=this.bufferSync(e),h=this.bufferSync(t),f=0;f<i;++f)for(var d=Math.max(0,Math.ceil((c-f)/r)),m=Math.min(n.outHeight,(n.inHeight+c-f)/r),v=0;v<o;++v)for(var g=Math.max(0,Math.ceil((l-v)/a)),y=Math.min(n.outWidth,(n.inWidth+l-v)/a),b=0;b<n.inChannels;++b)for(var x=0;x<n.outChannels;++x){for(var w=0,k=0;k<n.batchSize;++k)for(var S=d;S<m;++S)for(var N=f+S*r-c,I=g;I<y;++I){var C=v+I*a-l;w+=s?p.get(k,N,C,b)*h.get(k,S,I,x):p.get(k,b,N,C)*h.get(k,x,S,I)}u.set(w,f,v,b,x)}return u.toTensor()},n.conv3dDerFilter=function(e,t,n){for(var r=n.strideDepth,a=n.strideHeight,i=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=Yy(n.filterShape,"float32"),c=l.values,p=l.strides,h=p[0],f=p[1],d=p[2],m=p[3],v=this.readSync(t.dataId),g=t.strides,y=g[0],b=g[1],x=g[2],w=g[3],k=this.readSync(e.dataId),S=e.strides,N=S[0],I=S[1],C=S[2],R=S[3],E=n.padInfo.front,A=n.padInfo.left,T=n.padInfo.top,D=0;D<o;++D)for(var _=Math.max(0,Math.ceil((E-D)/r)),F=Math.min(n.outDepth,(n.inDepth+E-D)/r),O=D*h,M=0;M<s;++M)for(var L=Math.max(0,Math.ceil((T-M)/a)),z=Math.min(n.outHeight,(n.inHeight+T-M)

17/a),B=M*f+O,P=0;P<u;++P)for(var W=Math.max(0,Math.ceil((A-P)/i)),V=Math.min(n.outWidth,(n.inWidth+A-P)/i),U=P*d+B,G=0;G<n.inChannels;++G)for(var j=G*m+U,H=0;H<n.outChannels;++H){for(var q=0,K=0;K<n.batchSize;++K)for(var X=K*N,Y=K*y,J=_;J<F;++J)for(var Z=(D+J*r-E)*I+X,Q=J*b+Y,$=L;$<z;++$)for(var ee=(M+$*a-T)*C+Z,te=$*x+Q,ne=W;ne<V;++ne){var re=ne*w+te;q+=k[(P+ne*i-A)*R+ee+G]*v[re+H]}c[j+H]=q}return l.toTensor()},n.fusedDepthwiseConv2D=function(e){var t=e.input,n=e.filter,r=e.convInfo,a=e.bias,i=e.activation,o=e.preluActivationWeights,s=this.depthwiseConv2D(t,n,r);return a&&(s=fx(s,a)),i&&(s=pL(this,s,i,o)),s},n.depthwiseConv2D=function(e,t,n){iL([e,t],"depthwiseConv2D");for(var r=n.filterHeight,a=n.filterWidth,i=n.dilationHeight,o=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,l=n.outChannels/n.inChannels,c=Yy(n.outShape,e.dtype),p=this.readSync(e.dataId),h=this.readSync(t.dataId),f=c.values,d=0;d<n.batchSize;++d)for(var m=d*e.strides[0],v=d*c.strides[0],g=0;g<n.outHeight;++g)for(var y=v+g*c.strides[1],b=g*n.str

17ideHeight-s,x=0;x<r;++x){var w=b+x*i;if(!(w<0||w>=n.inHeight))for(var k=x*t.strides[0],S=m+w*e.strides[1],N=0;N<n.outWidth;++N)for(var I=y+N*c.strides[2],C=N*n.strideWidth-u,R=0;R<a;++R){var E=C+R*o;if(!(E<0||E>=n.inWidth))for(var A=k+R*t.strides[1],T=S+E*n.inChannels,D=I,_=A,F=0;F<n.inChannels;++F){for(var O=p[T+F],M=0;M<l;++M)f[D+M]+=O*h[_+M];D+=l,_+=l}}}return c.toTensor()},n.depthwiseConv2DDerInput=function(e,t,n){iL([e,t],"depthwiseConv2DDerInput");for(var r=Yy(n.inShape,"float32"),a=r.values,i=r.strides,o=i[0],s=i[1],u=i[2],l=this.readSync(e.dataId),c=e.strides,p=c[0],h=c[1],f=c[2],d=this.readSync(t.dataId),m=t.strides,v=m[0],g=m[1],y=m[2],b=n.batchSize,x=n.filterHeight,w=n.filterWidth,k=n.inChannels,S=n.inHeight,N=n.inWidth,I=n.outChannels,C=n.outHeight,R=n.outWidth,E=n.strideHeight,A=n.strideWidth,T=x-1-n.padInfo.top,D=w-1-n.padInfo.left,_=I/k,F=0;F<b;++F)for(var O=0;O<k;++O)for(var M=0;M<S;++M)for(var L=M-T,z=Math.max(0,Math.ceil(L/E)),B=Math.min(C,(x+L)/E),P=0;P<N;++P){for(var W=P-D,V=Math.max(0,Math.ceil(W/A)),U=Math.min(R,(w+W)/A),G=0,j=z;j<B;++j)for(var H=j*E-L,q=V;q<U;++q)for(var K=p*F+h*j+f*q,X=v*(x-1-H)+g*(w-1-(q*A-W))+y*O,Y=0;Y<_;++Y){G+=l[K+(O*_+Y)]*d[X+Y]}a[o*F+s*M+u*P+O]=G}return r.toTensor()},n.depthwiseConv2DDerFilter=function(e,t,n){iL([e,t],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,a=n.strideWidth,i=n.filterHeight,o=n.filterWidth,s=Yy(n.filterShape,"float32"),u=n.padInfo.left,l=n.padInfo.top,c=n.outChannels/n.inChannels,p=this.bufferSync(e),h=this.bufferSync(t),f=0;f<i;++f)for(var d=Math.max(0,Math.ceil((l-f)/r)),m=Math.min(n.outHeight,(n.inHeight+l-f)/r),v=0;v<o;++v)for(var g=Math.max(0,Math.ceil((u-v)/a)),y=Math.min(n.outWidth,(n.inWidth+u-v)/a),b=0;b<n.outChannels;++b){for(var x=Math.trunc(b/c),w=b%c,k=0,S=0;S<n.batchSize;++S)for(var N=d;N<m;++N)for(var I=f+N*r-l,C=g;C<y;++C){var R=v+C*a-u;k+=p.get(S,I,R,x)*h.get(S,N,C,b)}s.set(k,f,v,x,w)}return s.toTensor()},n.tile=function(e,t){return iL(e,"tile"),uL(this.bufferSync(e),t)},n.gather=function(e,t,n){iL([e,t],"gather");var r=e.shape.slice(),a=this.readSync(t.dataId);r[n]=a.length;for(var i=Yy(r,e.dtype),o=this.bufferSync(e),s=0;s<i.size;++s){var u=i.indexToLoc(s),l=u.slice();l[n]=a[u[n]];var c=o.locToIndex(l);i.values[s]=o.values[c]}return i.toTensor()},n.batchToSpaceND=function(e,t,n){iL([e],"batchToSpaceND");var r=t.reduce((function(e,t){return e*t})),a=nC(e.shape,t,r),i=rC(a.length,t.length),o=aC(e.shape,t,r),s=iC(n,t.length),u=oC(o,n,t.length);return xb(e.reshape(a),i).reshape(o).slice(s,u)},n.pool3d=function(e,t,n){iL(e,"pool3d");for(var r=t.strideDepth,a=t.strideHeight,i=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,h=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left,m="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,v=this.readSync(e.dataId),g=Yy(t.outShape,e.dtype),y=g.values,b=t.outShape[1]*t.outShape[2]*t.outShape[3]*t.outShape[4],x=t.outShape[2]*t.outShape[3]*t.outShape[4],w=t.outShape[3]*t.outShape[4],k=t.outShape[4],S=0;S<t.batchSize;++S)for(var N=S*b,I=S*e.strides[0],C=0;C<t.inChannels;++C)for(var R=0;R<t.outDepth;++R){for(var E=R*r-h,A=E;A<0;)A+=o;for(var T=Math.min(t.inDepth,l+E),D=N+R*x,_=0;_<t.outHeight;++_){for(var F=_*a-f,O=F;O<0;)O+=s;for(var M=Math.min(t.inHeight,c+F),L=D+_*w,z=0;z<t.outWidth;++z){for(var B=z*i-d,P=B;P<0;)P+=u;for(var W=Math.min(t.inWidth,p+B),V=L+z*k,U=m,G=0,j=0,H=A;H<T;H+=o){for(var q=I+H*e.strides[1],K=O;K<M;K+=s){for(var X=q+K*e.strides[2],Y=P;Y<W;Y+=u){var J=v[X+Y*e.strides[3]+C];if("max"===n&&J>U?U=J:"avg"===n&&(G+=J,j++),isNaN(U))break}if(isNaN(U))break}if(isNaN(U))break}y[V+C]="avg"===n?G/j:U}}}return g.toTensor()},n.avgPool3d=function(e,t){return iL(e,"avgPool3d"),this.pool3d(e,t,"avg").toFloat()},n.avgPool3dBackprop=function(e,t,n){iL([e,t],"avgPool3dBackprop");for(var r=n.strideDepth,a=n.strideHeight,i=n.strideWidth,o=n.filterDepth,s=n.filterHeight,u=n.filterWidth,l=n.dilationDepth,c=n.dilationHeight,p=n.dilationWidth,h=n.effectiveFilterDepth,f=n.effectiveFilterHeight,d=n.effectiveFilterWidth,m=h-1-n.padInfo.front,v=d-1-n.padInfo.left,g=f-1-n.padInfo.top,y=Yy(t.shape,"float32"),b=1/(o*s*u),x=this.bufferSync(e),w=0;w<n.batchSize;++w)for(var k=0;k<n.inChannels;++k)for(var S=0;S<n.inDepth;++S)for(var N=0;N<n.inHeight;++N)for(var I=0;I<n.inWidth;++I){for(var C=S-m,R=N-g,E=I-v,A=0,T=0;T<h;T+=l){var D=(C+T)/r;if(!(D<0||D>=n.outDepth||Math.floor(D)!==D))for(var _=0;_<f;_+=c){var F=(R+_)/a;if(!(F<0||F>=n.outHeight||Math.floor(F)!==F))for(var O=0;O<d;O+=p){var M=(E+O)/i;if(!(M<0||M>=n.outWidth||Math.floor(M)!==M))A+=x.get(w,D,F,M,k)}}}y.set(A*b,w,S,N,I,k)}return y.toTensor()},n.maxPool3d=function(e,t){return iL(e,"maxPool3d"),this.pool3d(e,t,"max").toFloat

17()},n.maxPool3dPositions=function(e,t){for(var n=Yy(t.outShape,"int32"),r=t.strideDepth,a=t.strideHeight,i=t.strideWidth,o=t.dilationDepth,s=t.dilationHeight,u=t.dilationWidth,l=t.effectiveFilterDepth,c=t.effectiveFilterHeight,p=t.effectiveFilterWidth,h=t.padInfo.front,f=t.padInfo.top,d=t.padInfo.left,m=this.bufferSync(e),v=0;v<t.batchSize;++v)for(var g=0;g<t.inChannels;++g)for(var y=0;y<t.outDepth;++y){for(var b=y*r-h,x=b;x<0;)x+=o;for(var w=Math.min(t.inDepth,l+b),k=0;k<t.outHeight;++k){for(var S=k*a-f,N=S;N<0;)N+=s;for(var I=Math.min(t.inHeight,c+S),C=0;C<t.outWidth;++C){for(var R=C*i-d,E=R;E<0;)E+=u;for(var A=Math.min(t.inWidth,p+R),T=Number.NEGATIVE_INFINITY,D=-1,_=x;_<w;_+=o)for(var F=_-b,O=N;O<I;O+=s)for(var M=O-S,L=E;L<A;L+=u){var z=L-R,B=m.get(v,_,O,L,g);B>=T&&(T=B,D=F*c*p+M*c+z)}n.set(D,v,y,k,C,g)}}}return n.toTensor()},n.maxPool3dBackprop=function(e,t,n,r){iL([t,n],"maxPool3dBackprop");for(var a=this.maxPool3dPositions(t,r),i=r.strideDepth,o=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,l=r.dilationHeight,c=r.dilationWidth,p=r.effectiveFilterDepth,h=r.effectiveFilterHeight,f=r.effectiveFilterWidth,d=p-1-r.padInfo.front,m=f-1-r.padInfo.left,v=h-1-r.padInfo.top,g=Yy(t.shape,"float32"),y=this.bufferSync(a),b=this.bufferSync(e),x=0;x<r.batchSize;++x)for(var w=0;w<r.inChannels;++w)for(var k=0;k<r.inDepth;++k)for(var S=0;S<r.inHeight;++S)for(var N=0;N<r.inWidth;++N){for(var I=k-d,C=S-v,R=N-m,E=0,A=0;A<p;A+=u){var T=(I+A)/i;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var D=0;D<h;D+=l){var _=(C+D)/o;if(!(_<0||_>=r.outHeight||Math.floor(_)!==_))for(var F=0;F<f;F+=c){var O=(R+F)/s;if(!(O<0||O>=r.outWidth||Math.floor(O)!==O)){var M=p*h*f-1-y.get(x,T,_,O,w)===A*h*f+D*f+F?1:0;if(0!==M)E+=b.get(x,T,_,O,w)*M}}}}g.set(E,x,k,S,N,w)}return g.toTensor()},n.resizeBilinear=function(e,t,n,r){iL(e,"resizeBilinear");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=this.readSync(e.dataId),c=new Float32Array(_v([i,t,n,u])),p=[r&&t>1?o-1:o,r&&n>1?s-1:s],h=[r&&t>1?t-1:t,r&&n>1?n-1:n],f=0,d=p[0]/h[0],m=p[1]/h[1],v=0;v<i;v++)for(var g=0;g<t;g++)for(var y=d*g,b=Math.floor(y),x=y-b,w=Math.min(o-1,Math.ceil(y)),k=v*e.strides[0]+b*e.strides[1],S=v*e.strides[0]+w*e.strides[1],N=0;N<n;N++)for(var I=m*N,C=Math.floor(I),R=I-C,E=Math.min(s-1,Math.ceil(I)),A=k+C*e.strides[2],T=S+C*e.strides[2],D=k+E*e.strides[2],_=S+E*e.strides[2],F=0;F<u;F++){var O=l[A+F],M=l[T+F],L=O+(l[D+F]-O)*R,z=L+(M+(l[_+F]-M)*R-L)*x;c[f++]=z}return ny(c,[i,t,n,u])},n.resizeBilinearBackprop=function(e,t,n){iL([e,t],"resizeBilinearBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],p=new Float32Array(a*i*o*s),h=[n&&l>1?i-1:i,n&&c>1?o-1:o],f=[n&&l>1?l-1:l,n&&c>1?c-1:c],d=h[0]/f[0],m=h[1]/f[1],v=this.readSync(e.dataId),g=0,y=0;y<a;y++)for(var b=y*t.strides[0],x=0;x<l;x++)for(var w=x*d,k=Math.floor(w),S=Math.min(Math.ceil(w),i-1),N=b+k*t.strides[1],I=b+S*t.strides[1],C=w-k,R=1-C,E=0;E<c;E++)for(var A=E*m,T=Math.floor(A),D=Math.min(Math.ceil(A),o-1),_=A-T,F=1-_,O=N+T*t.strides[2],M=N+D*t.strides[2],L=I+T*t.strides[2],z=I+D*t.strides[2],B=R*F,P=R*_,W=C*F,V=C*_,U=0;U<s;U++){var G=v[g++];p[O+U]+=G*B,p[M+U]+=G*P,p[L+U]+=G*W,p[z+U]+=G*V}return nN(p,[a,o,i,s],t.dtype)},n.resizeNearestNeighbor=function(e,t,n,r){iL(e,"resizeNearestNeighbor");for(var a=e.shape,i=a[0],o=a[1],s=a[2],u=a[3],l=this.readSync(e.dataId),c=new Float32Array(i*t*n*u),p=[r&&t>1?o-1:o,r&&n>1?s-1:s],h=[r&&t>1?t-1:t,r&&n>1?n-1:n],f=p[0]/h[0],d=p[1]/h[1],m=0,v=0;v<i;v++)for(var g=v*e.strides[0],y=0;y<t;y++)for(var b=f*y,x=g+Math.min(o-1,r?Math.round(b):Math.floor(b))*e.strides[1],w=0;w<n;w++)for(var k=d*w,S=x+Math.min(s-1,r?Math.round(k):Math.floor(k))*e.strides[2],N=0;N<u;N++){var I=l[S+N];c[m++]=I}return ny(c,[i,t,n,u],e.dtype)},n.resizeNearestNeighborBackprop=function(e,t,n){iL([e,t],"resizeNearestNeighborBackprop");for(var r=t.shape,a=r[0],i=r[1],o=r[2],s=r[3],u=e.shape,l=u[1],c=u[2],p=new Float32Array(a*i*o*s),h=this.readSync(e.dataId),f=[n&&l>1?i-1:i,n&&c>1?o-1:o],d=[n&&l>1?l-1:l,n&&c>1?c-1:c],m=f[0]/d[0],v=f[1]/d[1],g=1/m,y=1/v,b=2*Math.ceil(g)+2,x=2*Math.ceil(y)+2,w=0;w<a;w++)for(var k=w*t.strides[0],S=0;S<i;S++)for(var N=k+S*t.strides[1],I=Math.floor(S*g),C=Math.floor(I-b/2),R=0;R<o;R++)for(var E=N+R*t.strides[2],A=Math.floor(R*y),T=Math.floor(A-x/2),D=0;D<s;D++){for(var _=0,F=0;F<b;F++){var O=F+C;if(!(O<0||O>=l)){var M=k+O*e.strides[1],L=O*m;if(S===Math.min(i-1,n?Math.round(L):Math.floor(L)))for(var z=0;z<x;z++){var B=z+T;if(!(B<0||B>=c)){var P=M+B*e.strides[2],W=B*v;R===Math.min(o-1,n?Math.round(W):Math.floor(W))&&(_+=h[P+D])}}}}p[E+D]=_}return nN(p,t.shape,t.dtype)},n.localResponseNormalization4D=function(e,t,n,r,a){iL(e,"localResponseNormalization4D");var i=e.shape[3],o=i-1,s=this.readSync(e.dataId),u=e.size,l=new Float32Array(u);function c(e){for(var n=e%i,r=e-n+Math.max(0,n-t),a=e-n+Math.min(n+t,o),u=0;r<=a;r++){var l=s[r];u+=l*l}return u}for(var p=0;p<u;p++){var h=c(p),f=s[p]*Math.pow(n+r*h,-a);l[p]=f}return nN(l,e.shape)}

17,n.LRNGrad=function(e,t,n,r,a,i,o){iL(e,"LRNGrad");for(var s=e.shape[3],u=this.readSync(e.dataId),l=this.readSync(t.dataId),c=this.readSync(n.dataId),p=new Float32Array(e.size),h=e.size,f=0;f<h;f++){for(var d=f%s,m=f-d+Math.max(0,d-r),v=f-d+Math.min(s,d+r+1),g=0,y=m;y<v;y++)g+=Math.pow(l[y],2);g=i*g+a;for(var b=m;b<v;b++){var x=-2*i*o*l[b]*c[f]/g;f===b&&(x+=Math.pow(g,-o)),x*=u[f],p[b]+=x}}return nN(p,e.shape)},n.multinomial=function(e,t,n,r){iL(e,"multinomial");for(var a=t?e:VS(e),i=a.shape[0],o=a.shape[1],s=Fk([i,n],"int32"),u=this.readSync(s.dataId),l=this.readSync(a.dataId),c=0;c<i;++c){var p=c*o,h=new Float32Array(o-1);h[0]=l[p];for(var f=1;f<h.length;++f)h[f]=h[f-1]+l[p+f];for(var d=pS(r.toString()),m=c*n,v=0;v<n;++v){var g=d();u[m+v]=h.length;for(var y=0;y<h.length;y++)if(g<h[y]){u[m+v]=y;break}}}return s},n.oneHot=function(e,t,n,r){iL(e,"oneHot");var a=new Float32Array(e.size*t);a.fill(r);for(var i=this.readSync(e.dataId),o=0;o<e.size;++o)i[o]>=0&&i[o]<t&&(a[o*t+i[o]]=n);return tN(a,[e.size,t],"int32")},n.nonMaxSuppression=function(e,t,n,r,a){iL(e,"nonMaxSuppression");var i=this.readSync(e.dataId),o=this.readSync(t.dataId);return oL(i,o,n,r,a)},n.depthToSpace=function(e,t,n){Ev("NHWC"===n,(function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n})),Ev(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t}));for(var r=e.shape[0],a=e.shape[1],i=e.shape[2],o=e.shape[3],s=a*t,u=i*t,l=o/(t*t),c=this.readSync(e.dataId),p=new Float32Array(r*s*u*l),h=0,f=0;f<r;++f)for(var d=0;d<s;++d)for(var m=Math.floor(d/t),v=d%t,g=0;g<u;++g)for(var y=Math.floor(g/t),b=(v*t+g%t)*l,x=0;x<l;++x){var w=x+b+o*(y+i*(m+a*f));p[h++]=c[w]}return nN(p,[r,s,u,l])},n.broadcastedBinaryOp=function(e,t,n,r){var a=Mw(e.shape,t.shape),i=Yy(a,n),o=this.readSync(e.dataId),s=this.readSync(t.dataId),u=Fw(e.shape,a),l=Fw(t.shape,a),c=i.values;if(u.length+l.length===0)for(var p=0;p<c.length;++p)c[p]=r(o[p%o.length],s[p%s.length]);else for(var h=this.bufferSync(e),f=this.bufferSync(t),d=function(n){var a=i.indexToLoc(n),p=a.slice(-e.rank);u.forEach((function(e){return p[e]=0}));var d=h.locToIndex(p),m=a.slice(-t.rank);l.forEach((function(e){return m[e]=0}));var v=f.locToIndex(m);c[n]=r(o[d],s[v])},m=0;m<c.length;++m)d(m);return i.toTensor()},n.split=function(e,t,n){return sL(e,t,n)},n.dispose=function(){},n.floatPrecision=function(){return 32},n.epsilon=function(){return e.prototype.epsilon.call(this)},n.cropAndResize=function(e,t,n,r,a,i){for(var o=e.shape,s=o[0],u=o[1],l=o[2],c=o[3],p=t.shape[0],h=r[0],f=r[1],d=Yy([p,h,f,c],"float32"),m=this.readSync(t.dataId),v=this.readSync(n.dataId),g=this.readSync(e.dataId),y=e.strides,b=d.strides,x=0;x<p;x++){var w=4*x,k=m[w],S=m[w+1],N=m[w+2],I=m[w+3],C=v[x];if(!(C>=s))for(var R=h>1?(N-k)*(u-1)/(h-1):0,E=f>1?(I-S)*(l-1)/(f-1):0,A=0;A<h;A++){var T=h>1?k*(u-1)+A*R:.5*(k+N)*(u-1);if(T<0||T>u-1)for(var D=0;D<f;D++)for(var _=0;_<c;_++){var F=_+D*b[2]+A*b[1]+x*b[0];d.values[F]=i}else if("bilinear"===a)for(var O=Math.floor(T),M=Math.ceil(T),L=T-O,z=0;z<f;z++){var B=f>1?S*(l-1)+z*E:.5*(S+I)*(l-1);if(B<0||B>l-1)for(var P=0;P<c;P++){var W=P+z*b[2]+A*b[1]+x*b[0];d.values[W]=i}else for(var V=Math.floor(B),U=Math.ceil(B),G=B-V,j=0;j<c;j++){var H=j+V*y[2]+O*y[1]+C*y[0],q=g[H],K=g[H=j+U*y[2]+O*y[1]+C*y[0]],X=g[H=j+V*y[2]+M*y[1]+C*y[0]],Y=q+(K-q)*G,J=X+(g[H=j+U*y[2]+M*y[1]+C*y[0]]-X)*G;H=j+z*b[2]+A*b[1]+x*b[0],d.values[H]=Y+(J-Y)*L}}else for(var Z=0;Z<f;++Z){var Q=f>1?S*(l-1)+Z*E:.5*(S+I)*(l-1);if(Q<0||Q>l-1)for(var $=0;$<c;$++){var ee=$+Z*b[2]+A*b[1]+x*b[0];d.values[ee]=i}else for(var te=Math.round(Q),ne=Math.round(T),re=0;re<c;re++){var ae=re+te*y[2]+ne*y[1]+C*y[0],ie=re+Z*b[2]+A*b[1]+x*b[0];d.values[ie]=g[ae]}}}}return d.toTensor()},n.sparseToDense=function(e,t,n,r){var a=Db(0,e,n),i=a.sliceRank,o=a.numUpdates,s=a.sliceSize,u=a.strides,l=a.outputSize;return this.scatter(e,t,n,l,s,o,i,u,r,!1)},n.gatherND=function(e,t){var n=t.shape,r=n[n.length-1],a=Rb(e,t),i=a[0],o=a[1],s=a[2],u=a[3];if(0===o)return ny([],i,e.dtype);for(var l=new kg([o,s],e.dtype),c=this.readSync(t.dataId),p=this.readSync(e.dataId),h=0;h<o;h++){for(var f=[],d=0,m=0;m<r;m++){var v=c[h*r+m];d+=v*u[m],f.push(v)}if(d<0||d>=e.size/s)throw new Error("Invalid indices: "+f+" does not index into "+e.shape);for(var g=0;g<s;g++)l.values[h*s+g]=p[d*s+g]}return l.toTensor().reshape(i)},n.scatterND=function(e,t,n){var r=Db(0,e,n),a=r.sliceRank,i=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,l=sk(0);return this.scatter(e,t,n,u,o,i,a,s,l,!0)},n.fill=function(e,t,n){var r=Uv(n=n||Qv(t),_v(e));return r.fill(t),ix().makeTensor(r,e,n,this)},n.onesLike=function(e){if("string"===e.dtype)throw new Error("onesLike is not supported for string tensors");return this.fill(e.shape,1,e.dtype)},n.zerosLike=function(e){var t=Uv(e.dtype,_v(e.shape));return this.makeOutput(t,e.shape,e.dtype)}

17,n.linspace=function(e,t,n){return bC(e,t,n)},n.scatter=function(e,t,n,r,a,i,o,s,u,l){var c=[r/a,a],p=this.readSync(e.dataId),h=this.readSync(t.dataId);if(0===r)return ny([],n,t.dtype);var f=new kg(c,t.dtype);f.values.fill(this.readSync(u.dataId)[0]);for(var d=0;d<i;d++){for(var m=[],v=0,g=0;g<o;g++){var y=p[d*o+g];m.push(y),v+=y*s[g]}if(v<0||v>=r/a)throw new Error("Invalid indices: "+m+" does not index into "+n);for(var b=0;b<a;b++)l?f.values[v*a+b]+=h[d*a+b]:f.values[v*a+b]=0===t.rank?h[0]:h[d*a+b]}return f.toTensor().reshape(n)},t}(rv);function fL(e){for(var t=new Float32Array(e.length),n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var dL={kernelName:"Abs",backendName:"cpu",kernelFunc:function(e){var t=e.inputs.x,n=e.backend,r=new Float32Array(_v(t.shape));if("complex64"!==t.dtype)r=fL(n.data.get(t.dataId).values);else for(var a=n.data.get(t.dataId),i=a.complexTensorInfos.real,o=a.complexTensorInfos.imag,s=n.data.get(i.dataId).values,u=n.data.get(o.dataId).values,l=0;l<s.length;l++){var c=s[l],p=u[l];r[l]=Math.hypot(c,p)}return n.makeOutput(r,t.shape,"float32")}};function mL(e){return function(t,n,r,a,i){var o=Mw(t,n),s=o.length,u=tg(o),l=Vv(i,_v(o)),c=t.length,p=n.length,h=tg(t),f=tg(n),d=Fw(t,o),m=Fw(n,o);if(d.length+m.length===0)for(var v=0;v<l.length;++v)l[v]=e(r[v%r.length],a[v%a.length]);else for(var g=function(t){var n=dg(t,s,u),i=n.slice(-c);d.forEach((function(e){return i[e]=0}));var o=fg(i,c,h),v=n.slice(-p);m.forEach((function(e){return v[e]=0}));var g=fg(v,p,f);l[t]=e(r[o],a[g])},y=0;y<l.length;++y)g(y);return[l,o]}}function vL(e){var t=e.inputs,n=e.backend,r=t.real,a=t.imag,i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,s=n.makeTensorInfo(r.shape,"complex64");return n.data.get(s.dataId).complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",i),imag:n.makeTensorInfo(a.shape,"float32",o)},s}var gL={kernelName:"Complex",backendName:"cpu",kernelFunc:vL};function yL(e){var t=e.inputs,n=e.backend,r=t.x;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var bL={kernelName:"Identity",backendName:"cpu",kernelFunc:yL};function xL(e){var t=e.inputs,n=e.backend,r=t.input,a=n.data.get(r.dataId).complexTensorInfos.real,i=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,i)}var wL={kernelName:"Real",backendName:"cpu",kernelFunc:xL};function kL(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.dtype;if("complex64"===i){if("complex64"===a.dtype)return yL({inputs:{x:a},backend:n});var o=Fk(a.shape),s=kL({inputs:{x:a},backend:n,attrs:{dtype:"float32"}}),u=vL({inputs:{real:s,imag:o},backend:n});return o.dispose(),n.disposeIntermediateTensorInfo(s),u}if("complex64"===a.dtype){var l=xL({inputs:{input:a},backend:n}),c=kL({inputs:{x:l},backend:n,attrs:{dtype:i}});return n.disposeIntermediateTensorInfo(l),c}if(!Hv(a.dtype,i)){var p=yL({inputs:{x:a},backend:n});return{dataId:p.dataId,shape:p.shape,dtype:i}}if("int32"===i){var h=n.data.get(a.dataId).values,f=Int32Array.from(h);return n.makeTensorInfo(a.shape,"int32",f)}if("bool"===i){var d=n.data.get(a.dataId).values,m=rg([0],a.dtype),v=mL((function(e,t){return e!==t?1:0}))(a.shape,[],d,m,"bool"),g=v[0],y=v[1];return n.makeTensorInfo(y,"bool",g)}throw new Error("Error in Cast: failed to cast "+a.dtype+" to "+i)}var SL={kernelName:"Cast",backendName:"cpu",kernelFunc:kL};function NL(e,t,n,r){return null==n?function(n){var a=n.inputs,i=n.backend,o=a.a,s=a.b,u=i;iL([o,s],e);var l=u.data.get(o.dataId).values,c=u.data.get(s.dataId).values,p=r||o.dtype,h=t(o.shape,s.shape,l,c,p),f=h[0],d=h[1];return u.makeTensorInfo(d,p,f)}:function(e){var a=e.inputs,i=e.backend,o=a.a,s=a.b,u=i;if("complex64"===o.dtype||"complex64"===s.dtype){var l=kL({input

17s:{x:o},backend:u,attrs:{dtype:"complex64"}}),c=u.data.get(l.dataId),p=c.complexTensorInfos.real,h=c.complexTensorInfos.imag,f=u.data.get(p.dataId).values,d=u.data.get(h.dataId).values,m=kL({inputs:{x:s},backend:u,attrs:{dtype:"complex64"}}),v=u.data.get(m.dataId),g=v.complexTensorInfos.real,y=v.complexTensorInfos.imag,b=u.data.get(g.dataId).values,x=u.data.get(y.dataId).values,w=n(o.shape,s.shape,f,d,b,x),k=w[0],S=w[1],N=w[2],I=u.makeTensorInfo(N,"float32",k),C=u.makeTensorInfo(N,"float32",S),R=vL({inputs:{real:I,imag:C},backend:u});return u.disposeIntermediateTensorInfo(l),u.disposeIntermediateTensorInfo(m),u.disposeIntermediateTensorInfo(I),u.disposeIntermediateTensorInfo(C),R}var E=u.data.get(o.dataId).values,A=u.data.get(s.dataId).values,T=r||o.dtype,D=t(o.shape,s.shape,E,A,T),_=D[0],F=D[1];return u.makeTensorInfo(F,T,_)}}function IL(e){return function(t,n,r,a,i,o){var s=Mw(t,n),u=_v(s),l=s.length,c=tg(s),p=Vv("float32",u),h=Vv("float32",u),f=Fw(t,s),d=Fw(n,s),m=lC(r,a),v=lC(i,o),g=t.length,y=tg(t),b=n.length,x=tg(n);if(f.length+d.length===0)for(var w=0;w<p.length;w++){var k=w%m.length,S=w%v.length,N=e(m[2*k],m[2*k+1],v[2*S],v[2*S+1]);p[w]=N.real,h[w]=N.imag}else for(var I=function(t){var n=dg(t,l,c),r=n.slice(-g);f.forEach((function(e){return r[e]=0}));var a=fg(r,g,y),i=n.slice(-b);d.forEach((function(e){return i[e]=0}));var o=fg(i,b,x),s=e(m[2*a],m[2*a+1],v[2*o],v[2*o+1]);p[t]=s.real,h[t]=s.imag},C=0;C<p.length;C++)I(C);return[p,h,s]}}var CL=mL((function(e,t){return e+t})),RL=IL((function(e,t,n,r){return{real:e+n,imag:t+r}})),EL=NL(pv,CL,RL),AL={kernelName:pv,backendName:"cpu",kernelFunc:EL};function TL(e){return function(t,n,r){for(var a=Vv(n,t.length),i=0;i<t.length;++i)a[i]=e(t[i],r);return a}}function DL(e,t,n){return function(r){var a=r.inputs,i=r.attrs,o=r.backend,s=a.x;if(iL(s,e),"string"===s.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");for(var u=o,l=u.data.get(s.dataId).values,c=_v(s.shape),p=n||s.dtype,h=Uv(p,c),f=0;f<c;++f)h[f]=t(l[f],i);return u.makeTensorInfo(s.shape,p,h)}}

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jL=mL((function(e,t){return e*t})),HL=NL("Multiply",jL,IL((function(e,t,n,r){return{real:e*n-t*r,imag:e*r+t*n}}))),qL={kernelName:"Multiply",backendName:"cpu",kernelFunc:HL},KL=TL((function(e){return 1/Math.sqrt(e)})),XL={kernelName:"Rsqrt",backendName:"cpu",kernelFunc:_L("Rsqrt",KL)};function YL(e,t,n,r,a){var i=Hb(r,t,n),o=_v(n),s=tg(r);if(i){var u=qb(t,s);return e.subarray(u,u+o)}for(var l=Vv(a,o),c=0;c<o;++c){var p=fg(dg(c,n.length,tg(n)).map((function(e,n){return e+t[n]})),r.length,s);l[c]=e[p]}return l}function JL(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.begin,o=r.size;iL(a,"slice");var s=Kb(a,i,o),u=s[0],l=s[1];Fb(a,u,l);var c=YL(n.data.get(a.dataId).values,u,l,a.shape,a.dtype);return n.makeTensorInfo(l,a.dtype,c)}var ZL={kernelName:"Slice",backendName:"cpu",kernelFunc:JL},QL=mL((function(e,t){return e-t})),$L=NL("Sub",QL,IL((function(e,t,n,r){return{real:e-n,imag:t-r}}))),ez={kernelName:"Sub",backendName:"cpu",kernelFunc:$L};function tz(e,t,n,r,a){for(var i=t.length,o=_v(t),s=tg(t),u=tg(a),l=Vv(n,_v(a)),c=0;c<o;++c){for(var p=dg(c,i,s),h=new Array(p.length),f=0;f<h.length;f++)h[f]=p[r[f]];l[fg(h,i,u)]=e[c]}return l}function nz(e,t,n,r){for(var a=Pv(t,n)[0],i=[1,n[0],1],o=0;o<a;o++)i[0]*=n[o];i[1]=n[a];for(var s=a+1;s<n.length;s++)i[2]*=n[s];for(var u={},l=new Int32Array(n[a]),c=new kg(i,r,e),p=[],h=1===i[0]&&1===i[2],f=0;f<n[a];f++){var d=void 0;if(h)d=e[f].toString();else{for(var m=[],v=0;v<i[0];v++)for(var g=0;g<i[2];g++)m.push(c.get(v,f,g));d=m.join(",")}if(void 0!==u[d])l[f]=u[d];else{var y=Object.keys(u).length;u[d]=y,l[f]=y,p.push(f)}}var b=i.slice();b[1]=Object.keys(u).length;var x=new kg(b,r);p.forEach((function(e,t){for(var n=0;n<i[0];n++)for(var r=0;r<i[2];r++)x.set(c.get(n,e,r),n,t,r)}));var w=n.slice();return w[a]=b[1],{outputValues:x.values,outputShape:w,indices:l}}px("cpu",(function(){return new hL}),1);var rz={kernelName:"Acos",backendName:"cpu",kernelFunc:DL("Acos",(function(e){return 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D=T-S,_=m.get(v,E,T,g);_>C&&(C=_,R=a?i?((v*r.inHeight+E)*r.inWidth+T)*r.inChannels+g:(E*r.inWidth+T)*r.inChannels+g:A*h+D)}o.set(R,v,y,k,g)}}return o}var pz={kernelName:"AvgPool",backendName:"cpu",kernelFunc:function(e){var t=e.input

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false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    ",u="",l="\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "):(e="",t="attribute",n="varying",r="varying",a="texture2D",i="gl_FragColor",o="",s="\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    ",u="\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    ",l="\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "),{version:e,attribute:t,varyingVs:n,varyingFs:r,texture2D:a,output:i,defineOutput:o,defineSpecialNaN:s,defineSpecialInf:u,defineRound:l}}function SP(e,t,n){void 0===n&&(n="index");var r=tg(t);return r.map((function(t,a){return"int "+e[a]+" = "+n+" / "+t+"; "+(a===r.length-1?"int "+e[a+1]+" = "+n+" - "+e[a]+" * "+t:"index -= "+e[a]+" * "+t)+";"})).join("")}function NP(e){var t=tg(e).map((function(e){return e.toString()}));return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+t[0]+" + coords.y * "+t[1]+" + coords.z;\n  }\n"}var IP="\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n",CP=Fw;function RP(e,t,n,r){var a=[];e.forEach((function(e){var t=_v(e.shapeInfo.logicalShape);e.shapeInfo.isUniform?a.push("uniform float "+e.name+(t>1?"["+t+"]":"")+";"):(a.push("uniform sampler2D "+e.name+";"),a.push("uniform int offset"+e.name+";"))}));var i,o,s=a.join("\n"),u=e.map((function(e){return function(e,t,n){void 0===n&&(n=!1);var r="";r+=n?AP(e):EP(e);var a=e.shapeInfo.logicalShape,i=t.logicalShape;a.length<=i.length&&(r+=n?function(e,t){var n,r=e.name,a=r.charAt(0).toUpperCase()+r.slice(1),i="get"+a+"AtOutCoords",o=e.shapeInfo.logicalShape.length,s=t.logicalShape.length,u=CP(e.shapeInfo.logicalShape,t.logicalShape),l=LP(s),c=s-o,p=["x","y","z","w","u","v"];n=0===o?"":s<2&&u.length>=1?"coords = 0;":u.map((function(e){return"coords."+p[e+c]+" = 0;"})).join("\n");var h="";h=s<2&&o>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+p[t+c]})).join(", ");var f="return outputValue;",d=1===_v(e.shapeInfo.logicalShape),m=1===_v(t.logicalShape);if(1!==o||d||m){if(d&&!m)f=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var v=o-2,g=o-1;u.indexOf(v)>-1&&u.indexOf(g)>-1?f="return vec4(outputValue.x);":u.indexOf(v)>-1?f="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(g)>-1&&(f="return vec4(outputValue.xx, outputValue.zz);")}}else f="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+i+"() {\n      "+l+" coords = getOutputCoords();

17\n      "+n+"\n      vec4 outputValue = get"+a+"("+h+");\n      "+f+"\n    }\n  "}(e,t):function(e,t){var n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),a="get"+r+"AtOutCoords",i=t.texShape,o=e.shapeInfo.texShape,s=e.shapeInfo.logicalShape.length,u=t.logicalShape.length;if(!e.shapeInfo.isUniform&&s===u&&null==e.shapeInfo.flatOffset&&Fv(o,i))return"\n      float "+a+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var l,c=LP(u),p=CP(e.shapeInfo.logicalShape,t.logicalShape),h=u-s,f=["x","y","z","w","u","v"];l=0===s?"":u<2&&p.length>=1?"coords = 0;":p.map((function(e){return"coords."+f[e+h]+" = 0;"})).join("\n");var d="";d=u<2&&s>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords."+f[t+h]})).join(", ");return"\n    float "+a+"() {\n      "+c+" coords = getOutputCoords();\n      "+l+"\n      return get"+r+"("+d+");\n    }\n  "}(e,t));return r}(e,t,r)})).join("\n"),l=t.texShape,c=kP(),p=function(e){return"\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+e.texture2D+"(textureSampler, uv).r;\n    }\n  "}(c),h=function(e){return e.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+e.varyingFs+" vec2 resultUV;\n    "+e.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+e.defineSpecialNaN+"\n    "+e.defineSpecialInf+"\n    "+e.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+TP+"\n    "+DP+"\n    "+_P+"\n  "}(c);return t.isPacked?(i=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(1===n[0])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ";if(1===n[1])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,t);case 2:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)];if(Fv(e,t))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(e[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return n=e,r=t,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],i=Math.ceil(n[2]/2),o=i*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+a[0]+", "+a[1]+"));\n      int index = resTexRC.x * "+a[1]+" + resTexRC.y;\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+i+");\n      int c = imod(index, "+i+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(e,t){for(var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[e.length-1]/2),a=r*Math.ceil(e[e.length-2]/2),i=a,o="",s="b, r, c",u=2;u<e.length-1;u++)i*=e[e.length-u-1],o="\n      int b"+u+" = index / "+i+";\n      index -= b"+u+" * "+i+";\n    "+o,s="b"+u+", "+s;return"\n    ivec"+e.length+" getOutputCoords() {\n      ivec2 resTexRC = ive

17c2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+o+"\n\n      int b = index / "+a+";\n      index -= b * "+a+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+e.length+"("+s+");\n    }\n  "}(e,t)}var n,r,a,i,o}(t.logicalShape,l),o=function(e){return"\n    void setOutput(vec4 val) {\n      "+e.output+" = val;\n    }\n  "}(c)):(i=function(e,t){switch(e.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(e,t){if(1===t[0])return"\n      int getOutputCoords() {\n        return int(resultUV.x * "+t[1]+".0);\n      }\n    ";if(1===t[1])return"\n      int getOutputCoords() {\n        return int(resultUV.y * "+t[0]+".0);\n      }\n    ";return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      return resTexRC.x * "+t[1]+" + resTexRC.y;\n    }\n  "}(0,t);case 2:return function(e,t){if(Fv(e,t))return"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+t[0]+", "+t[1]+"));\n      }\n    ";if(1===e[1])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ";if(1===e[0])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+t[0]+", "+t[1]+"));\n        int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ";return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      int r = index / "+e[1]+";\n      int c = index - r * "+e[1]+";\n      return ivec2(r, c);\n    }\n  "}(e,t);case 3:return n=t,r=SP(["r","c","d"],e),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(e,t){var n=SP(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(e,t);case 5:return function(e,t){var n=SP(["r","c","d","d2","d3"],e);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+t[0]+",\n                             "+t[1]+"));\n\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(e,t);case 6:return function(e,t){var n=SP(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+t[0]+", "+t[1]+"));\n      int index = resTexRC.x * "+t[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(e,t);default:throw new Error(e.length+"-D output sampling is not yet supported")}var n,r}(t.logicalShape,l),o=function(e){return"\n    void setOutput(float val) {\n      "+e.output+" = vec4(val, 0, 0, 0);\n    }\n  "}(c)),r&&(h+=FP),[h,p,o,s,i,u,n].join("\n")}function EP(e){var t=e.shapeInfo.logicalShape;switch(t.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return"float "+n+"() {return "+t+";}";var r=e.shapeInfo.texShape,a=r[0],i=r[1];if(1===a&&1===i)return"\n      float "+n+"() {\n        return sampleTexture("+t+", halfCR);\n      }\n    ";var o=e.shapeInfo.texShape,s=o[0],u=o[1],l=OP(t);return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+s+", "+u+", "+l+");\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1);if(e.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+MP(e)+"\n      }\n    ";var r=e.shapeInfo.texShape,a=r[0],i=r[1];if(1===i&&1===a)return"\n      float "+n+"(int index) {\n        return sampleTexture("+t+", halfCR

17);\n      }\n    ";var o=OP(t);if(1===i)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+o+") + 0.5) / "+a+".0);\n        return sampleTexture("+t+", uv);\n      }\n    ";if(1===a)return"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+o+") + 0.5) / "+i+".0, 0.5);\n        return sampleTexture("+t+", uv);\n      }\n    ";return"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+a+", "+i+", index + "+o+");\n      return sampleTexture("+t+", uv);\n    }\n  "}(e);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape;if(null!=a&&Fv(t,a)){var i=a[0],o=a[1];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var s=Wv(t),u=s.newShape,l=s.keptDims,c=u;if(c.length<t.length){var p=zP(e,c);return"\n      "+EP(p)+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+BP(["row","col"],l)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+t[1]+", 1)));\n        "+MP(e)+"\n      }\n    ";var h=a[0],f=a[1],d=OP(n);if(1===f)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+d+"), vec3("+t[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+h+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";if(1===h)return"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+d+"), vec3("+t[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+f+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ";return"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+t[1]+" + col + "+d+";\n    vec2 uv = uvFromFlat("+h+", "+f+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(e);case 3:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[1]*t[2],i=t[2],o=Wv(t),s=o.newShape,u=o.keptDims,l=s;if(l.length<t.length){var c=zP(e,l);return"\n        "+EP(c)+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+BP(["row","col","depth"],u)+");\n        }\n      "}if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+a+", "+i+", 1)));\n        "+MP(e)+"\n      }\n    ";var p=e.shapeInfo.texShape,h=p[0],f=p[1],d=e.shapeInfo.flatOffset;if(f===a&&null==d)return"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+i+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+f+".0, "+h+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ";if(f===i&&null==d)return"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+t[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+f+".0, "+h+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ";var m=OP(n);return"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+a+" + col * "+i+" + depth + "+m+";\n        vec2 uv = uvFromFlat("+h+", "+f+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(e);case 4:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[3],i=t[2]*a,o=t[1]*i,s=Wv(t),u=s.newShape,l=s.keptDims;if(u.length<t.length){var c=zP(e,u);return"\n      "+EP(c)+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+BP(["row","col","depth","depth2"],l)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+o+", "+i+", "+a+", 1)));\n        "+MP(e)+"\n      }\n    ";var p=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,f=h[0],d=h[1];if(d===o&&null==p)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+i+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(d===a&&null==p)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot

17(vec3(row, col, depth),\n                         vec3("+t[1]*t[2]+", "+t[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var m=OP(n);return"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+o+" + col * "+i+" +\n          depth * "+a+" + depth2;\n      vec2 uv = uvFromFlat("+f+", "+d+", index + "+m+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);case 5:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=t[4],i=t[3]*a,o=t[2]*i,s=t[1]*o,u=Wv(t),l=u.newShape,c=u.keptDims;if(l.length<t.length){var p=zP(e,l);return"\n      "+EP(p)+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+BP(["row","col","depth","depth2","depth3"],c)+");\n      }\n    "}if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+o+", "+i+", "+a+")) +\n          depth3;\n        "+MP(e)+"\n      }\n    ";var h=e.shapeInfo.flatOffset,f=e.shapeInfo.texShape,d=f[0],m=f[1];if(m===s&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+o+", "+i+", "+a+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(m===a&&null==h)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]+",\n               "+t[2]*t[3]+", "+t[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+m+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var v=OP(n);return"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+o+" + depth * "+i+" +\n          depth2 * "+a+" + depth3 + "+v+";\n      vec2 uv = uvFromFlat("+d+", "+m+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);case 6:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=Wv(t),i=a.newShape,o=a.keptDims;if(i.length<t.length){var s=zP(e,i);return"\n      "+EP(s)+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+BP(["row","col","depth","depth2","depth3","depth4"],o)+");\n      }\n    "}var u=t[5],l=t[4]*u,c=t[3]*l,p=t[2]*c,h=t[1]*p;if(e.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+h+", "+p+", "+c+", "+l+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+u+", 1)));\n        "+MP(e)+"\n      }\n    ";var f=e.shapeInfo.flatOffset,d=e.shapeInfo.texShape,m=d[0],v=d[1];if(v===h&&null==f)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+p+", "+c+", "+l+", "+u+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+m+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";if(v===u&&null==f)return"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+t[1]*t[2]*t[3]*t[4]+",\n               "+t[2]*t[3]*t[4]+",\n               "+t[3]*t[4]+",\n               "+t[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+m+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ";var g=OP(n);return"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only w

17orks on floats.\n      int index = row * "+h+" + col * "+p+" + depth * "+c+" +\n          depth2 * "+l+" + depth3 * "+u+" + depth4 + "+g+";\n      vec2 uv = uvFromFlat("+m+", "+v+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(e);default:throw new Error(t.length+"-D input sampling is not yet supported")}}function AP(e){var t,n,r;switch(e.shapeInfo.logicalShape.length){case 0:return t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=kP(),"\n    vec4 "+n+"() {\n      return "+r.texture2D+"("+t+", halfCR);\n    }\n  ";case 1:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=e.shapeInfo.texShape,a=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],i=kP();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+a[0]+", "+a[1]+", index);\n      return "+i.texture2D+"("+t+", uv);\n    }\n  "}(e);case 2:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=a[0],o=a[1],s=kP();if(null!=a&&Fv(t,a))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+o+".0, "+i+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],l=Math.ceil(t[1]/2);return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+l+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(e);case 3:return function(e){var t=e.shapeInfo.logicalShape,n=e.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),a=e.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)];if(1===t[0]){var o=t.slice(1),s=zP(e,o);return"\n        "+AP(s)+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+BP(["b","row","col"],[1,2])+");\n        }\n      "}var u=i[0],l=i[1],c=Math.ceil(t[2]/2),p=c*Math.ceil(t[1]/2),h=kP();return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+u+", "+l+", "+p+", "+c+", b, row, col);\n      return "+h.texture2D+"("+n+", uv);\n    }\n  "}(e);default:return function(e){for(var t=e.shapeInfo.logicalShape,n=t.length,r=e.name,a="get"+r.charAt(0).toUpperCase()+r.slice(1),i=e.shapeInfo.texShape,o=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],s=o[0],u=o[1],l=Math.ceil(t[n-1]/2),c=l*Math.ceil(t[n-2]/2),p="int b, int row, int col",h="b * "+c+" + (row / 2) * "+l+" + (col / 2)",f=2;f<n-1;f++)p="int b"+f+", "+p,c*=t[n-f-1],h="b"+f+" * "+c+" + "+h;var d=kP();return"\n    vec4 "+a+"("+p+") {\n      int index = "+h+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+d.texture2D+"("+r+", uv);\n    }\n  "}(e)}}var TP="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",DP="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",_P="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",FP="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function OP(e){return"offset"+e}function MP(e){var t=e.name,n=_v(e.shapeInfo.logicalShape);return n<2?"return "+t+";":"\n    for (int i = 0; i < "+n+";

17 i++) {\n      if (i == index) {\n        return "+t+"[i];\n      }\n    }\n  "}function LP(e){if(e<=1)return"int";if(2===e)return"ivec2";if(3===e)return"ivec3";if(4===e)return"ivec4";if(5===e)return"ivec5";if(6===e)return"ivec6";throw Error("GPU for rank "+e+" is not yet supported")}function zP(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function BP(e,t){return t.map((function(t){return e[t]})).join(", ")}var PP=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,Ev(e.length>2,(function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."}));var a=e[e.length-1],i=Math.ceil(a/t);this.outputShape=e.slice(0,-1),i>1&&this.outputShape.push(i),r||this.variableNames.push("bestIndicesA");var o,s,u=this.outputShape,l=u.length,c=LP(l),p=wP("coords",l);if(1===i){var h=LP(s=l+1);o="\n        "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n        ++"+p[l-1]+";\n        "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n        ++"+p[l-2]+";\n        "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n        --"+p[l-1]+";\n        "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n        --"+p[l-2]+";"}else s=l,o="\n        "+c+" sourceLocR = coords;\n        ++"+p[l-1]+";\n        "+c+" sourceLocG = coords;\n        ++"+p[l-2]+";\n        "+c+" sourceLocA = coords;\n        --"+p[l-1]+";\n        "+c+" sourceLocB = coords;\n        --"+p[l-2]+";";var f=["x","y","z","w","u","v"].slice(0,s),d="."+f[s-1],m=f.map((function(e){return"int "+e})),v=wP("sourceLocR",s-1).concat("inIdx.r"),g=wP("sourceLocG",s-1).concat("inIdx.g"),y=wP("sourceLocB",s-1).concat("inIdx.b"),b=wP("sourceLocA",s-1).concat("inIdx.a"),x="max"===n?"greaterThan":"lessThan",w=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+v.join()+"),\n                             getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+y.join()+"),\n                             getBestIndicesAChannel("+b.join()+")));",k="vec4(\n            getAChannel("+v.join()+"),\n            hasNextCol ? getAChannel("+g.join()+") : 0.,\n            hasNextRow ? getAChannel("+y.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+b.join()+") : 0.)",S=r?"":"\n      float getBestIndicesAChannel("+m.join()+") {\n        return getChannel(getBestIndicesA("+f.join()+"),\n                                          vec2("+f.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+m.join()+") {\n        return getChannel(getA("+f.join()+"),\n                               vec2("+f.slice(-2).join()+"));\n      }\n      "+S+"\n      void main() {\n        "+c+" coords = getOutputCoords();\n        bool hasNextCol = "+p[l-1]+" < "+(u[l-1]-1)+";\n        bool hasNextRow = "+p[l-2]+" < "+(u[l-2]-1)+";\n        "+o+"\n        ivec4 srcIdx = ivec4(sourceLocR"+d+", sourceLocG"+d+",\n          sourceLocB"+d+", sourceLocA"+d+") * "+t+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+k+";\n\n        for (int i = 0; i < "+t+"; i++) {\n          inIdx = srcIdx;\n          "+w+"\n          vec4 candidate = "+k+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+x+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},WP=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,l=s-1-e.padInfo.top,c=u-1-e.padInfo.left,p=1/(t*n);this.userCode="\n      const ivec2 pads = ivec2("+l+", "+c+");\n      const float avgMultiplier = float("+p+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+i+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+o+") {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},VP=function(e){this.variableNames=["dy"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterDepth,p=e.effectiveFilterHeight,h=e.effectiveFilterWidth,f=c-1-e.padInfo.front,d=p-1-e.padInfo.top,m=h-1-e.padInfo.left,v=1/(t*n*r);this.userCode="\n      const ivec3 pads = ivec3("+f+", "+d+", "+m+");\n      const float avgMultiplier = float("+v+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(x

17D, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+c+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+a+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+p+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+l+") {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},UP="return areal * breal - aimag * bimag;",GP="return areal * bimag + aimag * breal;",jP=function(e,t,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=Mw(t,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+e+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},HP="return a + b;",qP="return a - b;",KP="return a * b;",XP="return (a < 0.) ? b * a : a;",YP=function(e,t,n){this.variableNames=["A","B"],this.outputShape=Mw(t,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+e+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},JP="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));

17\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",ZP=function(e,t,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=Mw(t,n);var a=this.outputShape.length,i="";if(r)if(0===a||1===_v(this.outputShape))i="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(i="\n          "+LP(a)+" coords = getOutputCoords();\n        ",1===a)i+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var o=wP("coords",a);i+="\n            bool nextRowOutOfBounds =\n              ("+o[a-2]+" + 1) >= "+this.outputShape[a-2]+";\n            bool nextColOutOfBounds =\n              ("+o[a-1]+" + 1) >= "+this.outputShape[a-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+i+"\n\n        setOutput(result);\n      }\n    "},QP=function(){function e(e){this.variableNames=["A"],this.outputShape=e,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e,t){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,e),r.gl.uniform1f(n.maxLoc,t)}},e}(),$P=function(){function e(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e,t){var n=this;return function(r,a){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(a,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(a,"maxVal")),r.gl.uniform1f(n.minLoc,e),r.gl.uniform1f(n.maxLoc,t)}},e}(),eW=function(e){this.variableNames=["real","imag"],this.outputShape=e,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},tW=function(e){this.outputShape=[],this.outputShape=ew(e,1),this.variableNames=e.map((function(e,t){return"T"+t}));var t=new Array(e.length-1);t[0]=e[0][1];for(var n=1;n<t.length;n++)t[n]=t[n-1]+e[n][1];for(var r=["if (yC < "+t[0]+") setOutput(getT0(yR, yC));"],a=1;a<t.length;a++){var i=t[a-1];r.push("else if (yC < "+t[a]+") setOutput(getT"+a+"(yR, yC-"+i+"));")}var o=t.length,s=t[t.length-1];r.push("else setOutput(getT"+o+"(yR, yC-"+s+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},nW=function(e,t){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=ew(e,t);var n=this.outputShape,r=n.length,a=LP(r),i=wP("coords",r),o=["x","y","z","w","u","v"].slice(0,r);this.variableNames=e.map((function(e,t){return"T"+t}));var s=new Array(e.length-1);s[0]=e[0][t];for(var u=1;u<s.length;u++)s[u]=s[u-1]+e[u][t];for(var l=o[t],c=o.slice(-2),p=o.join(),h="if ("+l+" < "+s[0]+") {\n        return getChannel(\n            getT0("+p+"), vec2("+c.join()+"));\n        }",f=1;f<s.length;f++){var d=s[f-1];h+="\n        if ("+l+" < "+s[f]+"  && "+l+" >= "+s[f-1]+") {\n          return getChannel(\n            getT"+f+"("+rW(o,l,d)+"),\n            vec2("+rW(c,l,d)+"));\n        }"}var m=s.length,v=s[s.length-1];h+="\n        return getChannel(\n          getT"+m+"("+rW(o,l,v)+"),\n          vec2("+rW(c,l,v)+"));",this.userCode="\n      float getValue("+o.map((function(e){return"int "+e}))+") {\n        "+h+"\n      }\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+i+"), 0., 0., 0.);\n\n        "+i[r-1]+" = "+i[r-1]+" + 1;\n        if ("+i[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+i+");\n        }\n\n        "+i[r-2]+" = "+i[r-2]+" + 1;\n        if ("+i[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+i+");\n        }\n\n        "+i[r-1]+" = "+i[r-1]+" - 1;\n        if ("+i[r-2]+" < "+n[r-2]+" &&\n            "+i[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+i+");\n        }\n        setOutput(result);\n      }\n    "};function rW(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?e+" - "+n:e})).join()}var aW=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i="channelsLast"===e.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              if ("+i+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},iW=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i="channelsLast"===e.dataFormat,o=t-1-e.padInfo.top,s=n-1-e.padInfo.left,u=i?1:2,l=i?2:3,c=i?3:1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+c+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+l+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n\n              if ("+i+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},oW=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.padInfo.front,i=e.padInfo.top,o=e.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yF = 0; yF < "+e.outDepth+";

17 yF++) {\n            int xF = wF + yF * "+t+" - "+a+";\n\n            if (xF < 0 || xF >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+i+";\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+o+";\n\n                if (xC < 0 || xC >= "+e.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},sW=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterDepth,n=e.filterHeight,r=e.filterWidth,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=t-1-e.padInfo.front,u=n-1-e.padInfo.top,l=r-1-e.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+l+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+t+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+a+".0;\n\n          if (dyF < 0.0 || dyF >= "+e.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+t+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+i+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+o+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+e.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},uW=function(e){this.variableNames=["x","dy"],this.outputShape=e.filterShape;var t=e.strideHeight,n=e.strideWidth,r=e.padInfo.top,a=e.padInfo.left,i=e.outChannels/e.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+i+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+e.batchSize+"; b++) {\n          for (int yR = 0; yR < "+e.outHeight+"; yR++) {\n            int xR = wR + yR * "+t+" - "+r+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+e.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+a+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},lW=function(e){this.variableNames=["dy","W"],this.outputShape=e.inShape;var t=e.filterHeight,n=e.filterWidth,r=e.strideHeight,a=e.strideWidth,i=t-1-e.padInfo.top,o=n-1-e.padInfo.left,s=e.outChannels/e.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+o+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+t+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+t+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+a+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},cW=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var a=e.padInfo.top,i=e.padInfo.left,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,l=e.dilationWidth,c=e.filterHeight,p=e.filterWidth,h=4*Math.floor(e.inChannels/4),f=e.inChannels%4,d="channelsLast"===e.dataFormat,m=d?1:2,v=d?2:3,g=d?3:1,y="",b="";n&&(y=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();

17\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",b="result = activation(result);");var x=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+y+"\n\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+a+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+g+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+m+"], coords["+v+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+c+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+p+"; wC++) {\n            int xC = xCCorner + wC * "+l+";\n\n            if (xC < 0 || xC >= "+e.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+h+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+d+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===f)+") {\n\n              if ("+d+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+h+") *\n                    getW(wR, wC, "+h+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+h+", xR, xC) *\n                    getW(wR, wC, "+h+", d2);\n              }\n\n            } else if ("+(2===f)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2)\n              );\n\n              if ("+d+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===f)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2),\n                getW(wR, wC, "+h+" + 2, d2)\n              );\n\n              if ("+d+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1),\n                  getX(batch, xR, xC, "+h+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC),\n                  getX(batch, "+h+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+x+"\n        "+b+"\n        setOutput(result);\n      }\n    "},pW=function(e){this.variableNames=["x","W"],this.outputShape=e.outShape;var t=e.padInfo.front,n=e.padInfo.top,r=e.padInfo.left,a=e.strideDepth,i=e.strideHeight,o=e.strideWidth,s=e.dilationDepth,u=e.dilationHeight,l=e.dilationWidth,c=e.filterDepth,p=e.filterHeight,h=e.filterWidth,f=4*Math.floor(e.inChannels/4),d=e.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+a+", "+i+", "+o+");\n      const ivec3 pads = ivec3("+t+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+c+";

17 wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+"; wC++) {\n              int xC = xCCorner + wC * "+l+";\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+f+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===d)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+f+") *\n                  getW(wF, wR, wC, "+f+", d2);\n              } else if ("+(2===d)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===d)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+f+"),\n                  getX(batch, xF, xR, xC, "+f+" + 1),\n                  getX(batch, xF, xR, xC, "+f+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+f+", d2),\n                  getW(wF, wR, wC, "+f+" + 1, d2),\n                  getW(wF, wR, wC, "+f+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},hW=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=e.outShape;var a=e.inHeight,i=e.inWidth,o=e.padInfo.top,s=e.padInfo.left,u=e.strideHeight,l=e.strideWidth,c=e.dilationHeight,p=e.dilationWidth,h=e.filterHeight,f=e.filterWidth,d=e.outChannels/e.inChannels,m="",v="";n&&(m=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();

17\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",v="result = activation(result);");var g=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+m+"\n\n      const ivec2 strides = ivec2("+u+", "+l+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+d+";\n        int q = d2 - d1 * "+d+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+h+"; wR++) {\n          int xR = xRCorner + wR * "+c+";\n\n          if (xR < 0 || xR >= "+a+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+f+"; wC++) {\n            int xC = xCCorner + wC * "+p+";\n\n            if (xC < 0 || xC >= "+i+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+g+"\n        "+v+"\n        setOutput(result);\n      }\n    "},fW=function(e,t,n,r){void 0===t&&(t=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.outShape;for(var a=e.inHeight,i=e.inWidth,o=e.padInfo.top,s=e.padInfo.left,u=e.strideHeight,l=e.strideWidth,c=e.dilationHeight,p=e.dilationWidth,h=e.filterHeight,f=e.filterWidth,d=f,m="int xR; int xC; int xCOffset;",v=0;v<h;v++)for(var g=0;g<f;g++)m+="\n          vec4 xTexelR"+v+"C"+2*g+" = vec4(0.);\n          vec4 wR"+v+"C"+g+" = vec4(0.);\n          vec4 xR"+v+"C"+g+" = vec4(0.);";for(var y=0;y<h;y++)for(var b=0;b<d;b++){var x=2*b;if(m+="\n          xR = xRCorner + "+y*c+";\n          xC = xCCorner + "+x*p+";\n        ",1===l){if(x<f&&(m+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+y+"C"+x+" = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+i+") {\n                    xTexelR"+y+"C"+x+".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR"+y+"C"+x+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+a+" && xCOffset >= 0 && xCOffset < "+i+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n\n                  // Need to manually clear unused channels in case\n                  // we're reading from recycled texture.\n                  if(xCOffset + 1 >= "+i+") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR"+y+"C"+x+" = vec4(previous.zw, xTexelR"+y+"C"+x+".xy);\n                } else {\n                  xR"+y+"C"+x+" = vec4(0, 0, xTexelR"+y+"C"+x+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+a+" && xC >= 0 && xC < "+i+") {\n                  xTexelR"+y+"C"+x+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+y+"C"+x+" = vec4(0.);\n                }\n\n                xR"+y+"C"+x+" = xTexelR"+y+"C"+x+";\n              ",x+1<f)){var w=s%2==0?Cv(p):p;p%2==0&&s%2==1||p%2!=0&&s%2!=1?(m+="\n                  xCOffset = xC + "+s%2+" + "+w+";\n\n                  if(xR >= 0 && xR < "+a+" &&\n                    xCOffset >= 0 && xCOffset < "+i+") {\n                    xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",p>1&&(m+="\n                    xCOffset -= 2;\n                    if(xR >

17= 0 && xR < "+a+" &&\n                      xCOffset >= 0 && xCOffset < "+i+") {\n                      xTexelR"+y+"C"+x+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+y+"C"+x+" = vec4(0.);\n                    }\n                  "),m+="\n                  xR"+y+"C"+(x+1)+" = vec4(\n                    xTexelR"+y+"C"+x+".zw, xTexelR"+y+"C"+(x+2)+".xy);\n                "):m+="\n                  xCOffset = xC + "+w+";\n\n                  if(xR >= 0 && xR < "+a+" &&\n                    xCOffset >= 0 && xCOffset < "+i+") {\n                    xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+y+"C"+(x+1)+" = xTexelR"+y+"C"+(x+2)+";\n                "}}else x<f&&(m+="\n              if(xR >= 0 && xR < "+a+") {\n            ",s%2==1?(m+="\n                xCOffset = xC + 1 - "+l+";\n                if(xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+y+"C"+x+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+y+"C"+x+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+i+") {\n                  xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+y+"C"+(x+2)+" = vec4(0.);\n                }\n\n                xR"+y+"C"+x+" = vec4(\n                  xTexelR"+y+"C"+x+".zw, xTexelR"+y+"C"+(x+2)+".zw);\n              ",x+1<f&&(m+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+l+";\n                  if(xCOffset >= 0 && xCOffset < "+i+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+y+"C"+(x+1)+" = vec4(xTexelR"+y+"C"+(x+2)+".xy, final.xy);\n                ")):(m+="\n                if(xC >= 0 && xC < "+i+") {\n                  xTexelR"+y+"C"+x+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+y+"C"+x+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+l+";\n                if(xCOffset >= 0 && xCOffset < "+i+") {\n                  xTexelR"+y+"C"+(x+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+y+"C"+(x+2)+" = vec4(0.);\n                }\n\n                xR"+y+"C"+x+" = vec4(\n                  xTexelR"+y+"C"+x+".xy, xTexelR"+y+"C"+(x+2)+".xy);\n              ",x+1<f&&(m+="\n                  xR"+y+"C"+(x+1)+" = vec4(\n                    xTexelR"+y+"C"+x+".zw, xTexelR"+y+"C"+(x+2)+".zw);\n                ")),m+="}");x<f&&(m+="\n            vec4 wTexelR"+y+"C"+x+" = getW("+y+", "+x+", d1, q);\n            wR"+y+"C"+x+" = vec4(wTexelR"+y+"C"+x+".xz, wTexelR"+y+"C"+x+".xz);\n          ",x+1<f&&(m+="\n              vec4 wTexelR"+y+"C"+(x+1)+" = getW("+y+", "+(x+1)+", d1, q);\n              wR"+y+"C"+(x+1)+" =\n                vec4(wTexelR"+y+"C"+(x+1)+".xz, wTexelR"+y+"C"+(x+1)+".xz);"))}for(var k=0;k<h;k++)for(var S=0;S<f;S++)m+="dotProd += xR"+k+"C"+S+" * wR"+k+"C"+S+";";var N="",I="";n&&(N=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();

17\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",I="result = activation(result);");var C=t?"result += getBiasAtOutCoords();":"";t&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+N+"\n\n      const ivec2 strides = ivec2("+u+", "+l+");\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+m+"\n\n        vec4 result = dotProd;\n        "+C+"\n        "+I+"\n        setOutput(result);\n      }\n    "},dW=function(e,t,n,r,a){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var i=e[0],o=e[1],s=e[2],u=e[3],l=t[0],c=n[0],p=n[1];this.outputShape=[l,c,p,u];var h="bilinear"===r?1:0,f=o-1+".0",d=s-1+".0",m=c>1?[""+(o-1)/(c-1),"(y2-y1) * height_ratio","y1*"+f+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+f],v=m[0],g=m[1],y=m[2],b=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+d+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+d],x=b[0],w=b[1],k=b[2];this.userCode="\n      const float height_ratio = float("+v+");\n      const float width_ratio = float("+x+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+i+") {\n          return;\n        }\n\n        float height_scale = "+g+";\n        float width_scale = "+w+";\n\n        float in_y = "+y+";\n        if( in_y < 0.0 || in_y > "+f+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n        float in_x = "+k+";\n        if( in_x < 0.0 || in_x > "+d+" ) {\n          setOutput(float("+a+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+h+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},mW=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=e;var r=e.length,a=t?"0.0":"getX("+vW(r,"coords")+")",i=e[e.length-1],o="",s="";t?(o=n?"end != "+(i-1):"end != 0",s=n?"end + 1":"end - 1"):(o=n?"end + pow2 < "+i:"end >= pow2",s=n?"end + pow2":"end - pow2"),this.userCode="\n      uniform float index;\n      void main() {\n        "+LP(r)+" coords = getOutputCoords();\n        int end = "+gW(r,"coords")+";\n        float val = "+a+";\n        int pow2 = int(pow(2.0, index));\n        if ("+o+") {\n          int idx = "+s+";\n          "+gW(r,"coords")+" = idx;\n          val += getX("+vW(r,"coords")+");\n        }\n        setOutput(val);\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.index&&(t.index=n.getUniformLocation(r,"index")),n.gl.uniform1f(t.index,e)}},e}();function vW(e,t){if(1===e)return""+t;if(2===e)return t+".x, "+t+".y";if(3===e)return t+".x, "+t+".y, "+t+".z";if(4===e)return t+".x, "+t+".y, "+t+".z, "+t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}function gW(e,t){if(1===e)return""+t;if(2===e)return t+".y";if(3===e)return t+".z";if(4===e)return t+".w";throw Error("Cumulative sum for rank "+e+" is not yet supported")}var yW=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=wB.DENSE;var t=EB(e),n=kP();this.outputShape=e,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+SP(["r","c","d"],e)+"\

17n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+t[0]+", "+t[1]+"));\n        int index = 4 * (resTexRC.x * "+t[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "},bW=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=wB.DENSE;var t=EB(e),n=kP();this.outputShape=e,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+SP(["r","c","d"],e)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+t[0]+", "+t[1]+"));\n        int index = 4 * (resTexRC.x * "+t[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},xW=function(){function e(e,t,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=e,this.blockSize=t,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+t+";\n      int offset_h = imod(h, "+t+");\n      int in_w = w / "+t+";\n      int offset_w = imod(w, "+t+");\n      int offset_d = (offset_h * "+t+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}var t=e.prototype;return t.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},e}(),wW=function(e){this.variableNames=["X"],this.outputShape=[e,e],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},kW=function(e){this.variableNames=["A"],this.outTexUsage=kB.DOWNLOAD;var t=kP();this.outputShape=e,this.userCode="\n      "+IP+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+t.output+" = encode_float(x);\n      }\n    "},SW=function(e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=kB.DOWNLOAD;var t=kP();this.outputShape=e,this.userCode="\n      "+IP+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+t.output+" = encode_float(x);\n      }\n    "},NW=function(e,t,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=kP(),a=t[0],i=t[1];this.outputShape=e;var o="result";n&&(o="floor(result * 255. + 0.5)"),this.userCode="\n      "+NP(e)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n\n        int r = flatIndex / "+i+";\n        int c = imod(flatIndex, "+i+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+o+", 0., 0., 0.);\n      }\n    "},IW=function(e,t,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=kP(),a=t[0],i=t[1];this.outputShape=e;var o="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var l=0;l<=1;l++){var c=2*u+l;o+="\n          localCoords = coords;\n          if(localCoords[2] + "+l+" < "+e[2]+") {\n            localCoords[2] += "+l+";\n            if(localCoords[1] + "+u+" < "+e[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+i+";\n              c = imod(flatIndex, "+i+");\n              uv = (vec2(c, r) + halfCR) / vec2("+i+".0, "+a+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+c+"] = values[0];\n              } else if(offset == 1) {\n                result["+c+"] = values[1];\n              } else if(offset == 2) {\n                result["+c+"] = values[2];\n              } else {\n                result["+c+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+NP(e)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        "+o+"\n\n        "+r.output+" = "+s+";\n      }\n    "},CW="return real * expR - imag * expI;",RW="return real * expI + imag * expR;",EW=function(e,t,n){this.variableNames=["real","imag"];var r=t[1];this.outputShape=t;var a=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,i=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+a+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+e+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+";

17 i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+i+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},AW=function(){function e(e,t){this.outputShape=[],this.variableNames=["x"],this.outputShape=e,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.valueLoc&&(t.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(t.valueLoc,e)}},e}(),TW=function(e,t,n){this.variableNames=["A","indices"];var r=e.slice();r[n]=t,this.outputShape=r,this.rank=r.length;var a=LP(this.rank),i=function(e,t){var n=e.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],a=[],i=0;i<e.length;i++)i===t?a.push("int(getIndices("+r[i]+"))"):a.push(""+r[i]);return a.join()}(e,n);this.userCode="\n      void main() {\n        "+a+" resRC = getOutputCoords();\n        setOutput(getA("+i+"));\n      }\n    "};var DW=function(e,t,n){this.sliceDim=e,this.strides=t,this.variableNames=["x","indices"],this.outputShape=n;var r=LP(t.length),a=LP(n.length),i=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+a+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+";

17 j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+i+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function _W(e){var t=kP();return function(e,t){var n=jB(e,(function(){return e.createShader(e.VERTEX_SHADER)}),"Unable to create vertex WebGLShader.");if(DB(e,(function(){return e.shaderSource(n,t)})),DB(e,(function(){return e.compileShader(n)})),!1===e.getShaderParameter(n,e.COMPILE_STATUS))throw console.log(e.getShaderInfoLog(n)),new Error("Failed to compile vertex shader.");return n}(e,t.version+"\n    precision highp float;\n    "+t.attribute+" vec3 clipSpacePos;\n    "+t.attribute+" vec2 uv;\n    "+t.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function FW(e){return function(e,t){var n=jB(e,(function(){return e.createBuffer()}),"Unable to create WebGLBuffer");return DB(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),DB(e,(function(){return e.bufferData(e.ARRAY_BUFFER,t,e.STATIC_DRAW)})),n}(e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function OW(e){return function(e,t){var n=jB(e,(function(){return e.createBuffer()}),"Unable to create WebGLBuffer");return DB(e,(function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,n)})),DB(e,(function(){return e.bufferData(e.ELEMENT_ARRAY_BUFFER,t,e.STATIC_DRAW)})),n}(e,new Uint16Array([0,1,2,2,1,3]))}function MW(e,t,n,r,a,i){!function(e,t){var n=uv().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(e<=0||t<=0)throw new Error("Requested texture size "+("["+e+"x"+t+"]")+" is invalid.");if(e>n||t>n)throw new Error("Requested texture size "+("["+e+"x"+t+"]")+" greater than WebGL maximum on this browser / GPU "+("["+n+"x"+n+"]")+".")}(t,n);var o=function(e){return jB(e,(function(){return e.createTexture()}),"Unable to create WebGLTexture.")}(e),s=e.TEXTURE_2D;return DB(e,(function(){return e.bindTexture(s,o)})),DB(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)})),DB(e,(function(){return e.texParameteri(s,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)})),DB(e,(function(){return e.texParameteri(s,e.TEXTURE_MIN_FILTER,e.NEAREST)})),DB(e,(function(){return e.texParameteri(s,e.TEXTURE_MAG_FILTER,e.NEAREST)})),DB(e,(function(){return e.texImage2D(s,0,r,t,n,0,a,i,null)})),DB(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)})),o}function LW(e){return e.internalFormatFloat}function zW(e){return e.internalFormatHalfFloat}function BW(e){return e.downloadTextureFormat}function PW(e){return e.internalFormatPackedFloat}function WW(e){return e.internalFormatPackedHalfFloat}function VW(e,t,n,r,a,i,o,s){var u=e,l=new Float32Array(function(e,t){var n=AB(e,t);return n[0]*n[1]*4}(i,o));return u.bindBuffer(u.PIXEL_PACK_BUFFER,t),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,l),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),l}var UW=function(){function e(e){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var t=uv().getNumber("WEBGL_VERSION");null!=e?(this.gl=e,function(e,t){NB[e]=t}(t,e)):this.gl=CB(t);var n="WEBGL_color_buffer_float";if(1===uv().getNumber("WEBGL_VERSION")){if(this.textureFloatExtension=FB(this.gl,"OES_texture_float"),ZB(this.gl,"OES_texture_half_float"))this.textureHalfFloatExtension=FB(this.gl,"OES_texture_half_float");else if(uv().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support half float textures, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.");if(this.colorBufferFloatExtension=this.gl.getExtension(n),ZB(this.gl,"EXT_color_buffer_half_float"))this.colorBufferHalfFloatExtension=FB(this.gl,"EXT_color_buffer_half_float");else if(uv().get("WEBGL_FORCE_F16_TEXTURES"))throw new Error("GL context does not support color renderable half floats, yet the environment flag WEBGL_FORCE_F16_TEXTURES is set to true.")}else if(n="EXT_color_buffer_float",ZB(this.gl,n))this.colorBufferFloatExtension=this.gl.getExtension(n);else{if(!ZB(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=FW(this.gl),this.indexBuffer=OW(this.gl),this.framebuffer=function(e){return jB(e,(function(){return e.createFramebuffer()}),"Unable to create WebGLFramebuffer.")}(this.gl),this.textureConfig=TB(this.gl,this.textureHalfFloatExtension)}var t=e.prototype;return t.dispose=function(){var e=this;if(!this.disposed){null!=this.program&&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."),null!=this.outputTexture&&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 t=this.gl;DB(t,(function(){return t.finish()})),DB(t,(function(){return t.bindFramebuffer(t.FRAMEBUFFER,null)})),DB(t,(function(){return t.deleteFramebuffer(e.framebuffer)})),DB(t,(function(){return t.bindBuffer(t.ARRAY_BUFFER,null)})),DB(t,(function(){return t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null)})),DB(t,(function(){return t.deleteBuffer(e.indexBuffer)})),this.disposed=!0}},t.createFloat32MatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=RB(t,n);return MW(e,a[0],a[1],LW(r),r.textureFormatFloat,e.FLOAT)}(this.gl,e,t,this.textureConfig)},t.createFloat16MatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=RB(t,n);return MW(e,a[0],a[1],zW(r),r.textureFormatFloat,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)},t.createUnsignedBytesMatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=RB(t,n);return MW(e,a[0],a[1],BW(r),e.RGBA,e.UNSIGNED_BYTE)}(this.gl,e,t,this.textureConfig)},t.uploadPixelDataToTexture=function(e,t){this.throwIfDisposed(),function(e,t,n){DB(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),n.data instanceof Uint8Array?DB(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,n.width,n.height,0,e.RGBA,e.UNSIGNED_BYTE,n.data)})):DB(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,e.RGBA,e.RGBA,e.UNSIGNED_BYTE,n)})),DB(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}(this.gl,e,t)},t.uploadDenseMatrixToTexture=function(e,t,n,r){this.throwIfDisposed(),function(e,t,n,r,a,i){var o,s,u;DB(e,(function(){return e.bindTexture(e.TEXTURE_2D,t)})),a instanceof Uint8Array?(o=new Uint8Array(n*r*4),s=e.UNSIGNED_BYTE,u=e.RGBA):(o=new Float32Array(n*r*4),s=e.FLOAT,u=i.internalFormatPackedFloat),o.set(a),DB(e,(function(){return e.texImage2D(e.TEXTURE_2D,0,u,n,r,0,e.RGBA,s,o)})),DB(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)}))}(this.gl,e,t,n,r,this.textureConfig)},t.createFloat16PackedMatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=AB(t,n);return MW(e,a[0],a[1],WW(r),e.RGBA,r.textureTypeHalfFloat)}(this.gl,e,t,this.textureConfig)},t.createPackedMatrixTexture=function(e,t){return this.throwIfDisposed(),function(e,t,n,r){var a=AB(t,n);return MW(e,a[0],a[1],PW(r),e.RGBA,e.FLOAT)}(this.gl,e,t,this.textureConfig)},t.deleteMatrixTexture=function(e){var t=this;this.throwIfDisposed(),this.outputTexture===e&&(UB(this.gl,this.framebuffer),this.outputTexture=null),DB(this.gl,(function(){return t.gl.deleteTexture(e)}))},t.downloadByteEncodedFloatMatrixFromOutputTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return function(e,t,n,r){var a=RB(t,n),i=a[0],o=a[1],s=new Uint8Array(t*n*4);return DB(e,(function(){return e.readPixels(0,0,i,o,r.downloadTextureFormat,e.UNSIGNED_BYTE,s)})),new Float32Array(s.buffer)}(r.gl,t,n,r.textureConfig)}))},t.downloadPackedMatrixFromBuffer=function(e,t,n,r,a,i){return VW(this.gl,e,0,0,0,a,i,this.textureConfig)},t.downloadFloat32MatrixFromBuffer=function(e,t){return function(e,t,n){var r=e,a=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,t),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,a),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),a}(this.gl,e,t)},t.createBufferFromTexture=function(e,t,n){this.bindTextureToFrameBuffer(e);var r=function(e,t,n,r){var a=e.createBuffer();DB(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,a)}));var i=16*t*n;return DB(e,(function(){return e.bufferData(e.PIXEL_PACK_BUFFER,i,e.STREAM_READ)})),DB(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,0)})),DB(e,(function(){return e.bindBuffer(e.PIXEL_PACK_BUFFER,null)})),a}(this.gl,t,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.createAndWaitForFence=function(){var e=this.createFence(this.gl);

17return this.pollFence(e)},t.createFence=function(e){var t,n,r=this;if(uv().getBool("WEBGL_FENCE_API_ENABLED")){var a=e,i=a.fenceSync(a.SYNC_GPU_COMMANDS_COMPLETE,0);e.flush(),n=function(){var e=a.clientWaitSync(i,0,0);return e===a.ALREADY_SIGNALED||e===a.CONDITION_SATISFIED},t=i}else uv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(t=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(t,uv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:t,isFencePassed:n}},t.downloadMatrixFromPackedTexture=function(e,t,n){var r=this;return this.downloadMatrixDriver(e,(function(){return function(e,t,n){var r=new Float32Array(t*n*4);return DB(e,(function(){return e.readPixels(0,0,n,t,e.RGBA,e.FLOAT,r)})),r}(r.gl,t,n)}))},t.createProgram=function(e){this.throwIfDisposed();var t=this.gl,n=OB(t,e),r=_W(t),a=function(e){return jB(e,(function(){return e.createProgram()}),"Unable to create WebGLProgram.")}(t);return DB(t,(function(){return t.attachShader(a,r)})),DB(t,(function(){return t.attachShader(a,n)})),function(e,t){if(DB(e,(function(){return e.linkProgram(t)})),!1===e.getProgramParameter(t,e.LINK_STATUS))throw console.log(e.getProgramInfoLog(t)),new Error("Failed to link vertex and fragment shaders.")}(t,a),this.debug&&BB(t,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=function(e,t,n){return DB(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),PB(e,t,"clipSpacePos",n,3,20,0)&&PB(e,t,"uv",n,2,20,12)}(t,this.program,this.vertexBuffer)),a},t.deleteProgram=function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&DB(this.gl,(function(){return t.gl.deleteProgram(e)}))},t.setProgram=function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&BB(this.gl,this.program),DB(this.gl,(function(){return t.gl.useProgram(e)}))},t.getUniformLocation=function(e,t,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?function(e,t,n){return jB(e,(function(){return e.getUniformLocation(t,n)}),'uniform "'+n+'" not present in program.')}(this.gl,e,t):function(e,t,n){return e.getUniformLocation(t,n)}(this.gl,e,t)},t.getAttributeLocation=function(e,t){var n=this;return this.throwIfDisposed(),DB(this.gl,(function(){return n.gl.getAttribLocation(e,t)}))},t.getUniformLocationNoThrow=function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)},t.setInputMatrixTexture=function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),WB(this.gl,e,t,n)},t.setOutputMatrixTexture=function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)},t.setOutputPackedMatrixTexture=function(e,t,n){this.throwIfDisposed();var r=AB(t,n),a=r[0],i=r[1];this.setOutputMatrixTextureDriver(e,a,i)},t.setOutputMatrixWriteRegion=function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)},t.setOutputPackedMatrixWriteRegion=function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.debugValidate=function(){null!=this.program&&BB(this.gl,this.program),GB(this.gl)},t.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.debug&&this.debugValidate(),DB(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))},t.blockUntilAllProgramsCompleted=function(){var e=this;this.throwIfDisposed(),DB(this.gl,(function(){return e.gl.finish()}))},t.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=FB(this.gl,2===uv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.beginQuery=function(){if(2===uv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.gl,t=this.getQueryTimerExtensionWebGL2(),n=e.createQuery();return e.beginQuery(t.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),a=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,a),a},t.endQuery=function(){if(2!==uv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var e=this.getQueryTimerExtensionWebGL1();e.endQueryEXT(e.TIME_ELAPSED_EXT)}else{var t=this.gl,n=this.getQueryTimerExtensionWebGL2();t.endQuery(n.TIME_ELAPSED_EXT)}},t.waitForQueryAndGetTime=function(){var e=Gm(regeneratorRuntime.mark((function e(t){var n=this;return regeneratorRuntime.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,zv((function(){return n.disposed||n.isQueryAvailable(t,uv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,uv().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}(),t.getQueryTime=function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}

17var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6},t.isQueryAvailable=function(e,t){if(0===t)return!0;if(2===t){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),a=n.getQueryParameter(e,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),a&&!this.disjoint}var i=this.getQueryTimerExtensionWebGL1(),o=i.getQueryObjectEXT(e,i.QUERY_RESULT_AVAILABLE_EXT);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(i.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.pollFence=function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))},t.pollItems=function(){for(var e=function(e){for(var t=0;t<e.length;++t){if(!e[t]())break}return t-1}(this.itemsToPoll.map((function(e){return e.isDoneFn}))),t=0;t<=e;++t){(0,this.itemsToPoll[t].resolveFn)()}this.itemsToPoll=this.itemsToPoll.slice(e+1)},t.addItemToPoll=function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||zv((function(){return n.pollItems(),0===n.itemsToPoll.length}))},t.bindTextureToFrameBuffer=function(e){this.throwIfDisposed(),VB(this.gl,e,this.framebuffer),this.debug&&GB(this.gl)},t.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(VB(this.gl,this.outputTexture,this.framebuffer),this.debug&&GB(this.gl)):UB(this.gl,this.framebuffer)},t.downloadMatrixDriver=function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n},t.setOutputMatrixTextureDriver=function(e,t,n){this.throwIfDisposed();var r=this.gl;VB(r,e,this.framebuffer),this.debug&&GB(r),this.outputTexture=e,DB(r,(function(){return r.viewport(0,0,t,n)})),DB(r,(function(){return r.scissor(0,0,t,n)}))},t.setOutputMatrixWriteRegionDriver=function(e,t,n,r){var a=this;this.throwIfDisposed(),DB(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))},t.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},Hm(e,[{key:"debug",get:function(){return uv().getBool("DEBUG")}}]),e}();function GW(e,t){if(e.length!==t.length)throw Error("Binary was compiled with "+e.length+" inputs, but was executed with "+t.length+" inputs");e.forEach((function(e,n){var r=e.logicalShape,a=t[n],i=a.shape;if(!Fv(r,i))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+i+" must match");if(!e.isUniform||!a.isUniform){var o=e.texShape,s=a.isUniform?null:a.texData.texShape;if(!Fv(o,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+o+" and "+s+" must match")}}))}var jW=function(e,t,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;for(var r=n.filterWidth,a=n.inChannels,i=n.strideWidth,o=n.strideHeight,s=n.padInfo,u=n.outWidth,l=n.dilationWidth,c=n.dilationHeight,p=n.dataFormat,h=s.left,f=s.top,d=a*r,m=kP(),v="channelsLast"===p,g=v?0:1,y=v?1:2,b="",x=0;x<=1;x++)for(var w=0;w<=1;w++)b+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+x+";\n\n          if(blockIndex < "+e[1]+" && pos < "+e[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+o+" - "+f+";\n            d0 = offsetY + "+c+" * (pos / "+d+");\n\n            if(d0 < "+t[g]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+i+". - "+h+".);\n              d1 = offsetX + "+l+" * (int(mod(float(pos), "+d+".) / "+a+".));\n\n              if(d1 < "+t[y]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+a+".));\n\n                if ("+v+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*x+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+b+"\n\n        "+m.output+" = result;\n      }\n    "},HW=function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[];var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;

17\n        for (int j = -"+o+"; j <= "+o+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+i+";\n        setOutput(val);\n      }\n    "},qW=function(e,t,n,r,a){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=e,this.depth=e[3],this.depthRadius=t,this.bias=n,this.alpha=r,this.beta=a,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+t+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+t+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+a+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+a+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},KW=function(e,t,n,r,a){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var i,o=t,s=e[3]-1;this.outputShape=e;var u="float("+n+") + float("+r+") * sum";i=.5===a?"inversesqrt("+u+")":1===a?"1.0/("+u+")":"exp(log("+u+") * float(-"+a+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+o+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+o+"; j <= "+o+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+i+";\n        setOutput(result);\n      }\n    "},XW=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideHeight,n=e.strideWidth,r=e.dilationHeight,a=e.effectiveFilterHeight,i=e.effectiveFilterWidth,o=a-1-e.padInfo.top,s=i-1-e.padInfo.left,u=a*i-1;this.userCode="\n      const ivec2 pads = ivec2("+o+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+a+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+t+".0;\n\n          if (dyR < 0.0 || dyR >= "+e.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+i+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+i+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},YW=function(e){this.variableNames=["dy","maxPos"],this.outputShape=e.inShape;var t=e.strideDepth,n=e.strideHeight,r=e.strideWidth,a=e.dilationDepth,i=e.dilationHeight,o=e.dilationWidth,s=e.effectiveFilterDepth,u=e.effectiveFilterHeight,l=e.effectiveFilterWidth,c=s-1-e.padInfo.front,p=u-1-e.padInfo.top,h=l-1-e.padInfo.left,f=s*u*l-1;this.userCode="\n      const ivec3 pads = ivec3("+c+", "+p+", "+h+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(x

17D, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+a+") {\n          float dyD = float(dyDCorner + wD) / "+t+".0;\n\n          if (dyD < 0.0 || dyD >= "+e.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+i+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+e.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+l+";\n                wC += "+o+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+e.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+f+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+l+" +\n                  wR * "+l+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},JW=function(e,t,n,r,a,i,o){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===a&&(a=!1),void 0===i&&(i=null),void 0===o&&(o=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;var s=n?e[1]:e[2],u=Math.ceil(s/2),l=n?"i * 2, rc.y":"rc.y, i * 2",c=r?"rc.z, i * 2":"i * 2, rc.z",p=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],f="",d="";i&&(f=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+i+"\n        }":"vec4 activation(vec4 x) {\n          "+i+"\n        }",d="result = activation(result);");var m=a?"result += getBiasAtOutCoords();":"";a&&this.variableNames.push("bias"),o&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+f+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+l+");\n          vec4 b = getMatrixB(rc.x, "+c+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+p[0]+" * "+h[0]+");\n          result += ("+p[1]+" * "+h[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+m+"\n\n        "+d+"\n\n        setOutput(result);\n      }\n    "},ZW=function(){function e(e,t,n){this.variableNames=["probs"],this.outputShape=[e,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(t-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(t-1)+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;return function(n,r){null==t.seedLoc&&(t.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(t.seedLoc,e)}},e}(),QW=function(e,t,n,r){this.variableNames=["indices"],this.outputShape=[e,t],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},$W=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=e;var t=e.length;if(0===t)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=wP("rc",t),r=LP(t),a=function(e,t,n){if(1===e)return"rc > "+t[0];for(var r="",a=e-2;a<e;a++)r+=n[a]+" >= "+t[a],a<e-1&&(r+="||");return r}(t,e,n),i=function(e,t,n,r){if(1===e)return"";var a=r.slice(-2);return"\n    int r = "+a[0]+";\n    int c = "+a[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+t+";\n    bool rEdge = rp1 >= "+n+";\n  "}(t,e[e.length-1],e[e.length-2],n),o=function(e,t){var n=e.length,r=function(e,t){for(var n=[],r=0;r<=1;r++)for(var a=0;a<=1;a++){for(var i=(0===r?"r":"rp1")+", "+(0===a?"c":"cp1"),o=2;o<e;o++)i=t[t.length-1-o]+","+i;n.push(i)}return n}(n,t);if(1===n)return"getA(rc),\n            rc + 1 >= "+e[0]+" ? 0. : getA(rc + 1),\n            0, 0";return"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rE

17dge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(e,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+a+") {\n            setOutput(vec4(0));\n          } else {\n            "+i+"\n\n            setOutput(vec4("+o+"));\n          }\n        }\n      "}};var eV=function(e,t,n){this.variableNames=["x"],this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));var r=e.length,a=LP(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+a+" start = "+a+"("+i+");\n      "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+a+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+i+";\n        int end = "+o+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},tV=function(e,t,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.map((function(t,n){return t[0]+e[n]+t[1]}));for(var r=e.length,a=LP(r),i=t.map((function(e){return e[0]})).join(","),o=t.map((function(t,n){return t[0]+e[n]})).join(","),s=wP("rc",r),u=wP("source",r),l=s[r-1]+" < "+this.outputShape[r-1],c=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[a+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+l+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+l+") {"],h=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",f="",d=0,m=1===r?2:4;d<m;d++)f+="\n        "+p[d]+"\n        if ("+h+") {\n          result["+d+"] = float("+n+");\n        } else {\n          "+a+" source = rc - start;\n          result["+d+"] = getChannel(getX("+u.join()+"), "+c+");\n        }\n      ";f+=1===r?"} ":"}}",this.userCode="\n      const "+a+" start = "+a+"("+i+");\n      const "+a+" end = "+a+"("+o+");\n\n      void main() {\n        "+a+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+f+"\n        setOutput(result);\n      }\n    "},nV=function(e,t,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var i=e.filterWidth,o=e.strideHeight,s=e.strideWidth,u=e.dilationHeight,l=e.dilationWidth,c=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.top,f=e.padInfo.left;this.outputShape=e.outShape;var d="avg"===t,m="((batch  * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + d",v="(xR * "+e.inWidth+" + xC) * "+e.inChannels+" + d",g="0.0";if(d||(g="-1.0 / 1e-20"),n){this.userCode="\n        const ivec2 strides = ivec2("+o+", "+s+");\n        const ivec2 pads = ivec2("+h+", "+f+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+c+";\n              wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+p+";\n                wC += "+l+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+e.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = "+(r?a?m:v:"wR * "+p+" + wC")+";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}

17else{var y=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(y="avgValue / count");var b=4*Math.floor(i/4),x=i%4,w="\n      if ("+d+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+s+");\n      const ivec2 pads = ivec2("+h+", "+f+");\n      const float initializationValue = "+g+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+g+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+c+";\n            wR += "+u+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+e.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+b+"; wC += 4) {\n            int xC = xCCorner + wC * "+l+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              getValue(batch, xR, xC + 3 * "+l+", d)\n            );\n\n            "+w+"\n          }\n\n          int xC = xCCorner + "+b+";\n          if ("+(1===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(2===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+w+"\n          } else if ("+(3===x)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+l+", d),\n              getValue(batch, xR, xC + 2 * "+l+", d),\n              initializationValue\n            );\n\n            "+w+"\n          }\n        }\n        setOutput("+y+");\n      }\n    "}},rV=function(e,t,n,r,a){if(void 0===r&&(r=!1),void 0===a&&(a=!1),this.variableNames=["x"],"avg"===t&&n)throw new Error("Cannot compute positions for average pool.");var i=e.filterWidth,o=e.strideDepth,s=e.strideHeight,u=e.strideWidth,l=e.dilationDepth,c=e.dilationHeight,p=e.dilationWidth,h=e.effectiveFilterDepth,f=e.effectiveFilterHeight,d=e.effectiveFilterWidth,m=e.padInfo.front,v=e.padInfo.top,g=e.padInfo.left;this.outputShape=e.outShape;var y="avg"===t,b="0.0";if(y||(b="-1.0 / 1e-20"),n){this.userCode="\n        const ivec3 strides =\n            ivec3("+o+", "+s+", "+u+");\n        const ivec3 pads = ivec3("+m+", "+v+", "+g+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+h+";\n              wD += "+l+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+e.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+f+";\n                wR += "+c+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+e.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+d+";\n                  wC += "+p+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+e.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = "+(r?a?"(((batch * "+e.inDepth+" + xD) * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" 

17+ ch":"((xD * "+e.inHeight+" + xR) * "+e.inWidth+" + xC) * "+e.inChannels+" + ch":"wD * "+f+" * "+d+" +\n                      wR * "+d+" + wC")+";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      "}else{var x=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===t&&(x="avgValue / count");var w=4*Math.floor(i/4),k=i%4,S="\n      if ("+y+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+o+", "+s+", "+u+");\n      const ivec3 pads = ivec3("+m+", "+v+", "+g+");\n      const float initializationValue = "+b+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+e.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+b+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+h+";\n            wD += "+l+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+e.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+f+";\n            wR += "+c+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+e.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+w+"; wC += 4) {\n              int xC = xCCorner + wC * "+p+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+p+", ch)\n              );\n\n              "+S+"\n            }\n\n            int xC = xCCorner + "+w+";\n            if ("+(1===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+S+"\n            } else if ("+(2===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+S+"\n            } else if ("+(3===k)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+p+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+p+", ch),\n                initializationValue\n              );\n\n              "+S+"\n            }\n          }\n          setOutput("+x+");\n        }\n      }\n    "}},aV=function(e,t){this.variableNames=["x"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.outSize;this.outputShape=[r,i];var o="0.0",s="";"prod"===t?o="1.0":"min"===t?(o="1.0 / 1e-20",s="min"):"max"===t&&(o="-1.0 / 1e-20",s="max");var u=t+"("+t+"("+t+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===t?u="sumValue":"prod"===t?u="prodValue":"all"===t?u="allValue":"any"===t&&(u="anyValue");var l=4*Math.floor(n/4),c=n%4,p="\n      if ("+("sum"===t)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===t)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",h="vec4";"all"===t?(o="1.0",p="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",h="bvec4"):"any"===t&&(o="0.0",p="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",h="bvec4");var f="";a%n>0&&(f="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+o+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+f+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+o+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+l+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+p+"\n        }\n\n        int inIdx = inOffset + "+l+";\n        if ("+(1===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(2===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(3===c)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+p+"\n        }\n        setOutput("+u+");\n      }\n    "},iV=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;for(var n="",r=0;r<4;r++){var a="thisRC = rc;";r%2==1&&(a+="thisRC.z += 1;"),r>1&&(a+="thisRC.y += 1;"),n+="\n        "+a+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);

17\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      "+("\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+SP(["r","c","d"],t)+"\n      return ivec3(r, c, d);\n    }\n  \n      ")+NP(e)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+e[1]+";\n        int cols = "+e[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "};var oV=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,v=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+v+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(a-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(i-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},sV=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},uV=function(e,t,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+",\n          "+u[1]/l[1]+");\n      const vec3 inputShapeRC = vec3("+i+".0, "+o+".0,\n                                     "+o+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+"

17;\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    

17"},lV=function(e,t,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=t.shape;var r=t.shape,a=r[1],i=r[2],o=e.shape,s=o[1],u=o[2],l=[n&&s>1?a-1:a,n&&u>1?i-1:i],c=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=l[0]/c[0],h=l[1]/c[1],f=1/p,d=1/h,m=2*Math.ceil(f)+2,v=2*Math.ceil(d)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+f+");\n        const float invWidthScale = float("+d+");\n\n        const int winHeight = int("+m+");\n        const int winWidth = int("+v+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+l[0]+") *\n                (float(dyR) / float("+c[0]+"));\n\n            float sourceFracCol =\n                float("+l[1]+") *\n                  (float(dyC) / float("+c[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+i+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},cV=function(e,t,n,r){this.variableNames=["A"],this.outputShape=[];var a=e[0],i=e[1],o=e[2],s=e[3];this.outputShape=[a,t,n,s];var u=[r&&t>1?i-1:i,r&&n>1?o-1:o],l=[r&&t>1?t-1:t,r&&n>1?n-1:n],c=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/l[0]+",\n          "+u[1]/l[1]+");\n      const vec2 inputShapeRC = vec2("+i+".0, "+o+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+c+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},pV=function(e,t){this.variableNames=["x"];var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=e,1!==n){var r=e.map((function(n,r){return function(n){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)})).join(","),a=LP(n);this.userCode="\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+e[0]+" - coord - 1));\n        }\n      "},hV=function(e,t){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=e.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=e;var r=wP("rc",n),a=r[n-1]+" + 1 < "+this.outputShape[n-1],i=r[n-2]+" + 1 < "+this.outputShape[n-2],o=LP(n);function s(n){var r=e.map((function(r,a){return function(n,r){return-1!==t.indexOf(n)&&1!==e[n]?e[n]+" - "+r[n]+" - 1":""+r[n]}(a,n)}));return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+e[0]+" - rc - 1),\n            "+e[0]+" - rc - 1);\n          if("+a+"){\n              result.g = getChannel(getX("+e[0]+" - (rc  + 1) - 1),\n                "+e[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+o+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+function(e){return s(e)}(r.slice())+";\n          if("+a+"){\n            result.g = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",s(e)}(r.slice())+";\n          }\n          if("+i+") {\n            result.b = "+function(e){return e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            if("+a+") {\n              result.a = "+function(e){return e[n-1]="("+e[n-1]+" + 1)",e[n-2]="("+e[n-2]+" + 1)",s(e)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},fV=function(e,t,n,r,a,i,o){void 0===o&&(o=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=i;var s=LP(a.length),u=LP(i.length),l="";1===n?l="i":2===n&&(l="i, j");var c="getIndices("+l+")",p="";1===r?p="i":2===r&&(p="i, coords[1]");

17var h="getUpdates("+p+")",f=t>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+a+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+e+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+t+"; j++) {\n              int index = round("+c+");\n              flattenedIndex += index * "+f+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+h+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},dV=function(e,t){this.variableNames=["x","segmentIds"];var n=e.windowSize,r=e.batchSize,a=e.inSize,i=e.numSegments,o=i*Math.ceil(a/n);this.outputShape=[r,o];var s=4*Math.floor(n/4),u=n%4,l="\n        sumValue += dot(values, segFilter);\n    ",c="";a%n>0&&(c="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return initializationValue;\n        }\n      ");var p="";a%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+a+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+c+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+p+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+i+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+i+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+l+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+l+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+l+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+l+"\n        }\n        setOutput(sumValue);\n      }\n    "},mV=function(e,t,n){var r,a;if(this.variableNames=["c","a","b"],this.outputShape=t,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)a="resRC",r="resRC";else{for(var i=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],s=[],u=0;u<t.length;u++)s.push(""+i[u]),u<e&&o.push(""+i[u]);r=o.join(),a=s.join()}var l=LP(n);this.userCode="\n      void main() {\n        "+l+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+a+"));\n        } else {\n          setOutput(getB("+a+"));\n        }\n      }\n    "},vV=function(){function e(e){this.variableNames=["source"],this.outputShape=e,this.rank=e.length;var t,n=LP(this.rank),r="uniform int start["+this.rank+"];",a=function(e){if(1===e)return"sourceLoc";if(e<=6)return gV.slice(0,e).map((function(e){return"sourceLoc."+e})).join(",");throw Error("Slicing for rank "+e+" is not yet supported")}(this.rank);t="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+e.map((function(e,t){return"sourceLoc."+gV[t]+" = start["+t+"] + coords."+gV[t]+";"})).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+t+"\n        setOutput(getSource("+a+"));\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){null==t.startLoc&&(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null==t.startLoc)||n.gl.uniform1iv(t.startLoc,e)}},e}(),gV=["x","y","z","w","u","v"];var yV=function(){function e(e){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e,this.rank=e.length;var t=LP(this.rank),n=wP("coords",this.rank),r=wP("sourceLoc",this.rank),a=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",i="getChannel(getSource("+r.join()+"), "+a+")",o="\n      result.x = "+i+";\n      if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+i+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+e[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+i+";\n        if (++"+n[this.rank-1]+" < "+e[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+i+";\n        }\n      }

17\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+t+"("+e.map((function(e,t){return"start["+t+"]"})).join()+");":e.map((function(e,t){return r[t]+" = "+n[t]+" + start["+t+"];"})).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+t+" coords = getOutputCoords();\n        "+t+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+o+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return e.prototype.getCustomSetupFunc=function(e){var t=this;if(e.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+e.length+")");return function(n,r){null==t.startLoc&&(t.startLoc=n.getUniformLocationNoThrow(r,"start"),null==t.startLoc)||n.gl.uniform1iv(t.startLoc,e)}},e}(),bV=function(e,t,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,a=LP(n.length),i=LP(n.length),o="";if(1===r)o="coords * strides + begin";else{var s=0;o=n.map((function(e,t){return s++,1===n.length?"coords * strides["+t+"] + begin["+t+"]":"coords["+(s-1)+"] * strides["+t+"] + begin["+t+"]"})).join(",")}this.userCode="\n      "+a+" begin = "+a+"("+e+");\n      "+a+" strides = "+a+"("+t+");\n\n      void main() {\n        "+i+" coords = getOutputCoords();\n        setOutput(getX("+o+"));\n      }\n    "},xV=function(){function e(e){this.gpgpu=e,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}var t=e.prototype;return t.acquireTexture=function(e,t,n){var r=kV(t,n),a=SV(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=wV(e,r,this.gpgpu.gl,this.gpgpu.textureConfig,n);if(this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this._numBytesFree-=o,this.log();var s=this.freeTextures[a].shift();return this.usedTextures[a].push(s),s}return r===SB.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===SB.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===SB.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===SB.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===SB.PACKED_4X1_UNSIGNED_BYTE&&(i=this.gpgpu.createUnsignedBytesMatrixTexture(e[0],e[1])),this.usedTextures[a].push(i),this.numUsedTextures++,this._numBytesAllocated+=o,this.log(),i},t.releaseTexture=function(e,t,n,r){if(null!=this.freeTextures){var a=kV(n,r),i=SV(t,a,r);i in this.freeTextures||(this.freeTextures[i]=[]);var o=wV(t,a,this.gpgpu.gl,this.gpgpu.textureConfig,r),s=uv().get("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==s&&this._numBytesAllocated>s?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=o):(this.freeTextures[i].push(e),this.numFreeTextures++,this._numBytesFree+=o),this.numUsedTextures--;var u=this.usedTextures[i],l=u.indexOf(e);if(l<0)throw new Error("Cannot release a texture that was never provided by this texture manager");u.splice(l,1),this.log()}},t.log=function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+e+")");var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: "+this._numBytesAllocated),console.log("Bytes unused: "+this._numBytesFree+" ("+Math.round(100*t)+"%)")}},t.getNumUsedTextures=function(){return this.numUsedTextures},t.getNumFreeTextures=function(){return this.numFreeTextures},t.dispose=function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t)}));

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17,n.complex=function(e,t){var n=this.makeOutput(e.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:ix().keep(e.clone()),imag:ix().keep(t.clone())},n},n.real=function(e){return this.texData.get(e.dataId).complexTensors.real.clone()},n.imag=function(e){return this.texData.get(e.dataId).complexTensors.imag.clone()},n.slice=function(e,t,n){if(this.shouldExecuteOnCPU([e])){var r=fP(this.texData.get(e.dataId).values,t,n,e.shape,e.dtype);return this.makeOutput(n,e.dtype,r)}if(0===_v(n))return ny([],n,e.dtype);var a=this.texData.get(e.dataId).isPacked,i=Hb(e.shape,t,n);if(a||!i){var o=uv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new yV(n):new vV(n),s=o.getCustomSetupFunc(t);return this.compileAndRun(o,[e],null,s)}return this.uploadToGPU(e.dataId),this.shallowSlice(e,t,n)},n.shallowSlice=function(e,t,n){var r=this.texData.get(e.dataId),a=this.makeOutput(n,e.dtype),i=this.texData.get(a.dataId);Object.assign(i,r),i.shape=n,i.dtype=e.dtype;var o=qb(t,e.strides);r.slice&&(o+=r.slice.flatOffset),i.slice={flatOffset:o,origDataId:r.slice&&r.slice.origDataId||e.dataId};var s=this.dataRefCount.get(i.slice.origDataId)||1;return this.dataRefCount.set(i.slice.origDataId,s+1),a},n.stridedSlice=function(e,t,n,r){var a=this,i=this.tryRunOnCpuOrThrow([e],(function(){return a.cpuBackend.stridedSlice(e,t,n,r)}));if(i)return i;var o=Mb(t,n,r);if(o.some((function(e){return 0===e})))return ny([],o);var s=new bV(t,r,o);return this.compileAndRun(s,[e])},n.reverse=function(e,t){var n=uv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new hV(e.shape,t):new pV(e.shape,t);return this.compileAndRun(n,[e])},n.concat=function(e,t){if("complex64"===e[0].dtype){var n=e.map((function(e){return jk(e)})),r=e.map((function(e){return nk(e)}));return ey(this.concat(n,t),this.concat(r,t))}if(1===e.length)return e[0];if(e.length>uv().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var a=Math.floor(e.length/2),i=this.concat(e.slice(0,a),t),o=this.concat(e.slice(a),t);return this.concat([i,o],t)}if(uv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].rank>1){var s=new nW(e.map((function(e){return e.shape})),t);return this.compileAndRun(s,e)}var u=ew(e.map((function(e){return e.shape})),t),l=e.map((function(e){return e.as2D(-1,_v(e.shape.slice(t)))})),c=new tW(l.map((function(e){return e.shape})));return this.compileAndRun(c,l).reshape(u)},n.neg=function(e){var t=this,n=this.tryRunOnCpuOrThrow([e],(function(){return t.cpuBackend.neg(e)}));if(n)return n;if(uv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,DV,e.dtype);var r=new IV(e.shape,DV);return this.compileAndRun(r,[e])},n.batchMatMul=function(e,t,n,r){var a=n?e.shape[2]:e.shape[1],i=r?t.shape[1]:t.shape[2],o=n?e.shape[1]:e.shape[2],s=e.shape[0];if((1===a||1===i)&&o>1e3){n&&(e=xb(e,[0,2,1])),r&&(t=xb(t,[0,2,1]));var u=1===i?e:e.as3D(s,o,1),l=1===i?2:1,c=1===i?t.as3D(s,1,o):t;return this.multiply(u,c).sum(l,!0)}var p=Fg(e.dtype,t.dtype),h=new JW(e.shape,[s,a,i],n,r);return this.compileAndRun(h,[e,t],p)},n.fusedBatchMatMul=function(e){var t=e.a,n=e.b,r=e.transposeA,a=e.transposeB,i=e.bias,o=e.activation,s=e.preluActivationWeights,u=r?t.shape[2]:t.shape[1],l=a?n.shape[1]:n.shape[2],c=t.shape[0],p=Fg(t.dtype,n.dtype),h=null!=i,f=null!=s,d=o?XV(o,!0):null,m=new JW(t.shape,[c,u,l],r,a,h,d,f),v=[t,n];return i&&v.push(i),s&&v.push(s),this.compileAndRun(m,v,p)},n.multiply=function(e,t){if("complex64"===e.dtype){var n=this.texData.get(e.dataId),r=this.texData.get(t.dataId),a=new jP(UP,e.shape,t.shape),i=new jP(GP,e.shape,t.shape),o=[this.makeComplexComponentTensorInfo(e,n.complexTensors.real),this.makeComplexComponentTensorInfo(e,n.complexTensors.imag),this.makeComplexComponentTensorInfo(t,r.complexTensors.real),this.makeComplexComponentTensorInfo(t,r.complexTensors.imag)],s=this.compileAndRun(a,o),u=this.compileAndRun(i,o),l=this.complex(s,u);return s.dispose(),u.dispose(),l}var c=Fg(e.dtype,t.dtype);if(this.shouldExecuteOnCPU([e,t])){var p=this.texData.get(e.dataId),h=this.texData.get(t.dataId),f=pP(e.shape,t.shape,p.values,h.values,c),d=f[0],m=f[1];return this.makeOutput(m,c,d)}if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,KP,e.dtype);var v=new YP(KP,e.shape,t.shape);return this.compileAndRun(v,[e,t],e.dtype)},n.localResponseNormalization4D=function(e,t,n,r,a){var i=uv().getBool("WEBGL_PACK_NORMALIZATION")?new KW(e.shape,t,n,r,a):new HW(e.shape,t,n,r,a);return this.compileAndRun(i,[e])}

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xb(e.reshape(a),i).reshape(o).slice(s,u)},n.spaceToBatchND=function(e,t,n){Ev(e.rank<=4,(function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"}));var r=t.reduce((function(e,t){return e*t})),a=[[0,0]];a.push.apply(a,n);for(var i=1+t.length;i<e.shape.length;++i)a.push([0,0]);var o=e.pad(a),s=nC(o.shape,t,r,!1),u=rC(s.length,t.length,!1),l=aC(o.shape,t,r,!1),c=xb(o.reshape(s),u);return gb(c,l)},n.reduce=function(e,t,n){var r=e.shape[0],a=e.shape[1],i=Jw(a),o=Math.ceil(a/i),s=new aV({windowSize:i,inSize:a,batchSize:r,outSize:o},t),u=this.compileAndRun(s,[e],n);return 1===u.shape[1]?u:this.reduce(u,t,n)},n.argReduce=function(e,t,n){void 0===n&&(n=null);var r=e.shape[0],a=e.shape[1];null!=n&&(r=n.shape[0],a=n.shape[1]);var i=Jw(a),o={windowSize:i,inSize:a,batchSize:r,outSize:Math.ceil(a/i)},s=new bP(o,t,null==n),u=[e];null!=n&&u.push(n);var l=this.compileAndRun(s,u,"int32");return 1===l.shape[1]?l:this.argReduce(e,t,l)},n.argReducePacked=function(e,t,n){void 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dV({windowSize:s,inSize:o,batchSize:i,numSegments:a},t),l=this.compileAndRun(u,[e,n],r);return l.shape[1]===a?l:(n=bS(0,a).tile([o/s]),this.segOpCompute(l,t,n,r,a))},n.argMinMaxReduce=function(e,t,n){var r=[t];if(Ix("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,e.rank),!uv().getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var a=Sx(e.shape,r),i=a[0],o=_v(a[1]),s=e.as2D(-1,o);return this.argReduce(s,n).reshape(i)}return this.argReducePacked(e,n)},n.argMin=function(e,t){return this.argMinMaxReduce(e,t,"min")},n.argMax=function(e,t){return this.argMinMaxReduce(e,t,"max")},n.cumsum=function(e,t,n,r){if(t!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(e.rank-1)+" but got axis="+t);for(var a=e.shape[t],i=e,o=0;o<=Math.ceil(Math.log2(a))-1;o++){var s=new mW(e.shape,!1,r),u=s.getCustomSetupFunc(o),l=i;i=this.compileAndRun(s,[i],i.dtype,u),l.dispose()}if(n){var c=new mW(e.shape,n,r),p=i;i=this.compileAndRun(c,[i]),p.dispose()}return i},n.equal=function(e,t){if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(equal(a, b));\n","bool");var n=new YP("return float(a == b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},n.notEqual=function(e,t){if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(notEqual(a, b));\n","bool");var n=new YP("return float(a != b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},n.less=function(e,t){var n=this,r=this.tryRunOnCpuOrThrow([e,t],(function(){return n.cpuBackend.less(e,t)}));if(r)return r;if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(lessThan(a, b));\n","bool");var a=new YP("return float(a < b);",e.shape,t.shape);return this.compileAndRun(a,[e,t],"bool")},n.lessEqual=function(e,t){if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new YP("return float(a <= b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},n.greater=function(e,t){var n=this,r=this.tryRunOnCpuOrThrow([e,t],(function(){return n.cpuBackend.greater(e,t)}));if(r)return r;if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(greaterThan(a, b));\n","bool");var a=new YP("return float(a > b);",e.shape,t.shape);return this.compileAndRun(a,[e,t],"bool")},n.greaterEqual=function(e,t){if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new YP("return float(a >= b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},n.logicalNot=function(e){var t=new IV(e.shape,"return float(!(x >= 1.0));");return this.compileAndRun(t,[e])},n.logicalAnd=function(e,t){if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new YP("return float(a >= 1.0 && b >= 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},n.logicalOr=function(e,t){if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new YP("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")},n.select=function(e,t,n){var r=new mV(e.rank,t.shape,t.rank);return this.compileAndRun(r,[e,t,n],Fg(t.dtype,n.dtype))},n.where=function(e){uC("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return qV(e.shape,t)},n.topk=function(e,t,n){var r=e.dataSync();return HV(r,e.shape,e.dtype,t,n)},n.min=function(e,t){Ix("min",t,e.rank);var n=Sx(e.shape,t),r=n[0],a=_v(n[1]),i=e.as2D(-1,a);return this.reduce(i,"min",i.dtype).reshape(r)},n.minimum=function(e,t){var n=this,r=this.tryRunOnCpuOrThrow([e,t],(function(){return n.cpuBackend.minimum(e,t)}));if(r)return r;var a=uv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ZP("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new YP("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",e.shape,t.shape);return this.compileAndRun(a,[e,t])},n.mod=function(e,t){var n=uv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ZP("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new YP("if (b == 0.0) return NAN;\n  return mod(a, b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])},n.maximum=function(e,t){var n=this,r=this.tryRunOnCpuOrThrow([e,t],(function(){return n.cpuBackend.maximum(e,t)}));if(r)return r;var a=uv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ZP("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new YP("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",e.shape,t.shape);return this.compileAndRun(a,[e,t])},n.all=function(e,t){Ix("all",t,e.rank);var n=Sx(e.shape,t),r=n[0],a=_v(n[1]),i=e.as2D(-1,a);return this.reduce(i,"all",i.dtype).reshape(r)},n.any=function(e,t){Ix("any",t,e.rank);var n=Sx(e.shape,t),r=n[0],a=_v(n[1]),i=e.as2D(-1,a);return this.reduce(i,"any",i.dtype).reshape(r)},n.floorDiv=function(e,t){if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new YP("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",e.shape,t.shape);return this.compileAndRun(n,[e,t],"int32")},n.add=function(e,t){if("complex64"===e.dtype&&"complex64"===t.dtype)return this.complexSeparableBinaryOp(e,t,HP);var n=Fg(e.dtype,t.dtype);if(this.shouldExecuteOnCPU([e,t])){var r=this.texData.get(e.dataId),a=this.texData.get(t.dataId),i=aP(e.shape,t.shape,r.values,a.values,n),o=i[0],s=i[1];return this.makeOutput(s,n,o)}if(uv().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,HP,n);var u=new YP(HP,e.shape,t.shape);return this.compileAndRun(u,[e,t],n)},n.packedUnaryOp=function(e,t,n){var r=new WV(e.shape,t);return this.compileAndRun(r,[e],n)},n.packedBinaryOp=function(e,t,n,r,a){void 0===a&&(a=!1);var i=new ZP(n,e.shape,t.shape,a);return this.compileAndRun(i,[e,t],r)},n.complexSeparableBinaryOp=function(e,t,n){var r=this,a=this.texData.get(e.dataId),i=this.texData.get(t.dataId),o=[[a.complexTensors.real,i.complexTensors.real],[a.

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NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",e.shape,t.shape):new YP("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",e.shape,t.shape),r=Fg(e.dtype,t.dtype);return this.compileAndRun(n,[e,t],r)},n.ceil=function(e){if(this.shouldExecuteOnCPU([e])){var t=iP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(uv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,_V,e.dtype);var n=new IV(e.shape,_V);return this.compileAndRun(n,[e])},n.floor=function(e){if(this.shouldExecuteOnCPU([e])){var t=uP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(uv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,FV,e.dtype);var n=new IV(e.shape,FV);return this.compileAndRun(n,[e])},n.sign=function(e){var t=new IV(e.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(t,[e])},n.isNaN=function(e){var t=new IV(e.shape,"return float(isnan(x));");return this.compileAndRun(t,[e],"bool")},n.isInf=function(e){var t=new IV(e.shape,"return float(isinf(x));");return this.compileAndRun(t,[e],"bool")},n.isFinite=function(e){var t=new IV(e.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(t,[e],"bool")},n.round=function(e){var t=new IV(e.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(t,[e])},n.exp=function(e){if(this.shouldExecuteOnCPU([e])){var t=oP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(uv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,OV,e.dtype);var n=new IV(e.shape,OV);return this.compileAndRun(n,[e])},n.expm1=function(e){if(this.shouldExecuteOnCPU([e])){var t=sP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(uv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,MV,e.dtype);var n=new IV(e.shape,MV);return this.compileAndRun(n,[e])},n.softmax=function(e,t){var n=Pv([t],e.shape),r=wk(e,n),a=Nx(r.shape,n),i=this.subtract(e,r.reshape(a)),o=this.exp(i),s=this.sum(o,n).reshape(a);return mx(o,s)},n.log=function(e){if(this.shouldExecuteOnCPU([e])){var t=lP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(uv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",e.dtype);var n=new IV(e.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(n,[e])},n.log1p=function(e){var t=new IV(e.shape,"return log(1.0 + x);");return this.compileAndRun(t,[e])},n.sqrt=function(e){var t=new IV(e.shape,"return sqrt(x);");return this.compileAndRun(t,[e])},n.rsqrt=function(e){if(this.shouldExecuteOnCPU([e])){var t=hP(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}var n=new IV(e.shape,"return inversesqrt(x);");return this.compileAndRun(n,[e])},n.reciprocal=function(e){var t=new IV(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])},n.relu=function(e){var t;return t=uv().getBool("WEBGL_PACK")?new WV(e.shape,zV):new IV(e.shape,EV),this.compileAndRun(t,[e])},n.relu6=function(e){var t;return t=uv().getBool("WEBGL_PACK")?new WV(e.shape,BV):new IV(e.shape,AV),this.compileAndRun(t,[e])},n.prelu=function(e,t){var n=uv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ZP(JP,e.shape,t.shape):new YP(XP,e.shape,t.shape);return this.compileAndRun(n,[e,t])},n.elu=function(e){if(uv().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,PV,e.dtype);var t=new IV(e.shape,TV);return this.compileAndRun(t,[e])},n.eluDer=function(e,t){var n=uv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ZP("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));

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17*o[2]*o[3],m=gb(e,[1,d,n.inChannels]),v=gb(t,[1,n.inChannels,n.outChannels]),g=this.fusedBatchMatMul({a:m,b:v,transposeA:!1,transposeB:!1,bias:r,activation:a,preluActivationWeights:i});return gb(g,n.outShape)}var y=p?o[0]*o[1]*(o[2]+1):o[0]*o[2]*(o[3]+1),b={dataId:e.dataId,shape:[1,y,n.inChannels],dtype:e.dtype},x=s.shape;s.shape=s.shape.slice(),s.shape[s.shape.length-2]++,Ev(JB(s.shape,b.shape),(function(){return"packed reshape "+s.shape+" to "+b.shape+" isn't free"}));var w=gb(t,[1,n.inChannels,n.outChannels]),k=this.fusedBatchMatMul({a:b,b:w,transposeA:!1,transposeB:!1,bias:r,activation:a,preluActivationWeights:i}),S=this.texData.get(k.dataId);return Ev(S.isPacked,(function(){return"batchMatMul result is expected to be packed"})),s.shape=x,S.shape=n.outShape,ix().makeTensorFromDataId(k.dataId,n.outShape,k.dtype)},n.conv2dWithIm2Row=function(e,t,n,r,a,i){var o=n.filterWidth,s=n.filterHeight,u=n.inChannels,l=n.outWidth,c=n.outHeight,p="channelsLast"===n.dataFormat,h=o*s*u,f=c*l,d=[h,f],m=e.squeeze([0]),v=t.reshape([1,h,-1]),g=new jW(d,m.shape,n),y=this.compileAndRun(g,[m]).reshape([1,d[0],d[1]]),b=null!=r,x=null!=i,w=a?XV(a,!0):null,k=new JW(y.shape,[1,f,n.outChannels],!0,!1,b,w,x),S=[y,v];r&&S.push(r),x&&S.push(i);var N=this.compileAndRun(k,S);return p?N.reshape([1,c,l,n.outChannels]):N.reshape([1,n.outChannels,c,l])},n.fusedConv2d=function(e){var t=e.input,n=e.filter,r=e.convInfo,a=e.bias,i=e.activation,o=e.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(t,n,r,a,i,o);if(uv().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,n,r,a,i,o);var s=null!=a,u=null!=o,l=i?XV(i,!1):null,c=new cW(r,s,l,u),p=[t,n];return a&&p.push(a),o&&p.push(o),this.compileAndRun(c,p)},n.conv2d=function(e,t,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(e,t,n);if(uv().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,t,n);var r=new cW(n);return this.compileAndRun(r,[e,t])},n.conv2dDerInput=function(e,t,n){var r=new iW(n);return this.compileAndRun(r,[e,t])},n.conv2dDerFilter=function(e,t,n){var r=new aW(n);return this.compileAndRun(r,[e,t])},n.fusedDepthwiseConv2D=function(e){var t,n=e.input,r=e.filter,a=e.convInfo,i=e.bias,o=e.activation,s=e.preluActivationWeights,u=uv().getBool("WEBGL_PACK_DEPTHWISECONV")&&a.strideWidth<=2&&a.outChannels/a.inChannels==1,l=o?XV(o,u):null,c=[n,r],p=null!=i,h=null!=s;return p&&c.push(i),h&&c.push(s),u?(t=new fW(a,p,l,h),this.compileAndRun(t,c)):(t=new 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u},n.avgPool3d=function(e,t){var n=new rV(t,"avg",!1);return this.compileAndRun(n,[e],"float32")},n.avgPool3dBackprop=function(e,t,n){var r=new VP(n);return this.compileAndRun(r,[e],t.dtype)},n.maxPool3d=function(e,t){var n=new rV(t,"max",!1);return this.compileAndRun(n,[e],"float32")},n.maxPool3dBackprop=function(e,t,n,r){var a=new rV(r,"max",!0),i=this.compileAndRun(a,[t]),o=new YW(r),s=this.compileAndRun(o,[e,i],t.dtype);return i.dispose(),s},n.resizeBilinear=function(e,t,n,r){var a=uv().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new uV(e.shape,t,n,r):new sV(e.shape,t,n,r);return this.compileAndRun(a,[e],"float32")},n.resizeBilinearBackprop=function(e,t,n){var r=new oV(e,t,n);return this.compileAndRun(r,[e])},n.resizeNearestNeighbor=function(e,t,n,r){var a=new cV(e.shape,t,n,r);return this.compileAndRun(a,[e])},n.resizeNearestNeighborBackprop=function(e,t,n){var r=new lV(e,t,n);return this.compileAndRun(r,[e])},n.multinomial=function(e,t,n,r){var a=t?e:VS(e),i=a.shape[0],o=a.shape[1],s=new ZW(i,o,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[a],"int32",u)},n.oneHot=function(e,t,n,r){var a=new QW(e.size,t,n,r);return this.compileAndRun(a,[e])},n.diag=function(e){var t=new wW(e.size);return this.compileAndRun(t,[e])},n.cropAndResize=function(e,t,n,r,a,i){var o=new dW(e.shape,t.shape,r,a,i);return this.compileAndRun(o,[e,t,n],"float32")},n.depthToSpace=function(e,t,n){Ev(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: "+t}));var r=e.shape[0],a="NHWC"===n?e.shape[1]:e.shape[2],i="NHWC"===n?e.shape[2]:e.shape[3],o="NHWC"===n?e.shape[3]:e.shape[1],s=a*t,u=i*t,l=o/(t*t),c=new xW("NHWC"===n?[r,s,u,l]:[r,l,s,u],t,n);return this.compileAndRun(c,[e])},n.split=function(e,t,n){return GV(e,t,n)},n.scatterND=function(e,t,n){var r=Db(0,e,n),a=r.sliceRank,i=r.numUpdates,o=r.sliceSize,s=r.strides,u=r.outputSize,l=[u/o,o],c=e.reshape([i,a]),p=t.reshape([i,o]);if(0===u)return yC(ny([]),n);var h=sk(0),f=new fV(i,a,c.rank,p.rank,s,l);return this.compileAndRun(f,[p,c,h]).reshape(n)},n.sparseToDense=function(e,t,n,r){var a=Db(0,e,n),i=a.sliceRank,o=a.numUpdates,s=a.strides,u=a.outputSize,l=new fV(o,i,e.rank,t.rank,s,[u,1],!1);return this.compileAndRun(l,[t,e,r]).reshape(n)},n.fft=function(e){return this.fftImpl(e,!1)},n.ifft=function(e){return this.fftImpl(e,!0)},n.fftImpl=function(e,t){var n=this.texData.get(e.dataId),r=new EW(CW,e.shape,t),a=new EW(RW,e.shape,t),i=[this.makeComplexComponentTensorInfo(e,n.complexTensors.real),this.makeComplexComponentTensorInfo(e,n.complexTensors.imag)],o=this.compileAndRun(r,i),s=this.compileAndRun(a,i),u=this.complex(o,s).as2D(e.shape[0],e.shape[1]);return o.dispose(),s.dispose(),u},n.gatherND=function(e,t){var n=t.shape,r=n[n.length-1],a=Rb(e,t),i=a[0],o=a[1],s=a[2],u=a[3],l=t.reshape([o,r]),c=e.reshape([e.size/s,s]),p=new DW(r,u,[o,s]);return this.compileAndRun(p,[c,l]).reshape(i)},n.fill=function(e,t,n){if("string"===(n=n||Qv(t))){var r=Uv(n,_v(e));return r.fill(t),ix().makeTensor(r,e,n,this)}var a=new AW(e,t),i=a.getCustomSetupFunc(t);return this.compileAndRun(a,[],n,i)},n.onesLike=function(e){if("string"===e.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(e.shape,1,e.dtype)},n.zerosLike=function(e){return this.fill(e.shape,"string"===e.dtype?"":0,e.dtype)}

17,n.linspace=function(e,t,n){return bC(e,t,n)},n.makeTensorInfo=function(e,t,n){var r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}},n.makeOutput=function(e,t,n){var r=this.makeTensorInfo(e,t,n).dataId;return ix().makeTensorFromDataId(r,e,t,this)},n.unpackTensor=function(e){var t=new VV(e.shape);return this.runWebGLProgram(t,[e],e.dtype)},n.packTensor=function(e){var t=new $W(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)},n.packedReshape=function(e,t){var n=[qB(e.shape)].concat(KB(e.shape)),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[qB(t)].concat(KB(t)),i=new iV(a,n),o=this.runWebGLProgram(i,[r],e.dtype,null,!0);return{dataId:o.dataId,shape:t,dtype:o.dtype}},n.decode=function(e){var t,n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype,o=XB(a);t=r?new bW(o):new yW(o);return{dtype:i,shape:a,dataId:this.runWebGLProgram(t,[{shape:o,dtype:i,dataId:e}],i,null,!0).dataId}},n.runWebGLProgram=function(e,t,n,r,a){var i=this;void 0===a&&(a=!1);var o=this.makeTensorInfo(e.outputShape,n),s=this.texData.get(o.dataId);if(e.packedOutput&&(s.isPacked=!0),e.outPackingScheme===wB.DENSE){var u=EB(e.outputShape);s.texShape=u.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(s.usage=e.outTexUsage),0===_v(o.shape))return s.values=Vv(o.dtype,0),o;var l=[],c=t.map((function(t){if("complex64"===t.dtype)throw new Error("GPGPUProgram does not support complex64 input. For complex64 dtypes, please separate the program into real and imaginary parts.");var n=i.texData.get(t.dataId);if(null==n.texture){if(!e.packedInputs&&_v(t.shape)<=uv().getNumber("WEBGL_SIZE_UPLOAD_UNIFORM"))return{shape:t.shape,texData:null,isUniform:!0,uniformValues:n.values};e.packedInputs&&(n.isPacked=!0,n.shape=t.shape)}else if(!!n.isPacked!=!!e.packedInputs)t=n.isPacked?i.unpackTensor(t):i.packTensor(t),l.push(t),n=i.texData.get(t.dataId);else if(n.isPacked&&!JB(n.shape,t.shape)){var r=t,a=t.shape;t.shape=n.shape,t=i.packedReshape(t,a),l.push(t),n=i.texData.get(t.dataId),r.shape=a}return i.uploadToGPU(t.dataId),{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(o.dataId);var p,h={shape:o.shape,texData:s,isUniform:!1},f=function(e,t,n){var r="";t.concat(n).forEach((function(e){var t=null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0,n=e.isUniform?"uniform":e.texData.texShape;r+=e.shape+"_"+n+"_"+t}));var a=e.userCode,i=e.constructor.name;return i+="_"+r+"_"+a}(e,c,h),d=this.getAndSaveBinary(f,(function(){return function(e,t,n,r){var a=t.userCode,i=n.map((function(e,n){var r={logicalShape:e.shape,texShape:e.isUniform?null:e.texData.texShape,isUniform:e.isUniform,isPacked:!e.isUniform&&e.texData.isPacked,flatOffset:null};return null!=e.texData&&null!=e.texData.slice&&e.texData.slice.flatOffset>0&&(r.flatOffset=e.texData.slice.flatOffset),{name:t.variableNames[n],shapeInfo:r}})),o=i.map((function(e){return e.shapeInfo})),s={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},u=RP(i,s,a,t.packedInputs),l=e.createProgram(u),c=null,p=e.getUniformLocation(l,"NAN",!1);1===uv().getNumber("WEBGL_VERSION")&&(c=e.getUniformLocation(l,"INFINITY",!1));for(var h={},f=0;f<t.variableNames.length;f++){var d=t.variableNames[f];h[d]=e.getUniformLocation(l,d,!1),h["offset"+d]=e.getUniformLocation(l,"offset"+d,!1)}return{program:t,source:u,webGLProgram:l,uniformLocations:h,inShapeInfos:o,outShapeInfo:s,infLoc:c,nanLoc:p}}(i.gpgpu,e,c,h)})),m=null!=this.activeTimers;if(m&&(p=this.startTimer()),function(e,t,n,r,a){GW(t.inShapeInfos,n),GW([t.outShapeInfo],[r]);var i=r.texData.texture,o=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(i,o[0],o[1]):e.setOutputMatrixTexture(i,o[0],o[1]),e.setProgram(t.webGLProgram),1===uv().getNumber("WEBGL_VERSION")&&null!==t.infLoc&&e.gl.uniform1f(t.infLoc,1/0),null!==t.nanLoc&&e.gl.uniform1f(t.nanLoc,NaN),n.forEach((function(n,r){var a=t.program.variableNames[r],i=t.uniformLocations[a],o=t.uniformLocations["offset"+a];if(null!=i)if(n.isUniform)if(_v(n.shape)<2)e.gl.uniform1f(i,n.uniformValues[0]);else{var s=n.uniformValues;s instanceof Float32Array||(s=new Float32Array(s)),e.gl.uniform1fv(i,s)}else null!=n.texData.slice&&null!=o&&e.gl.uniform1i(o,n.texData.slice.flatOffset),e.setInputMatrixTexture(n.texData.texture,i,r)})),null!=a&&a(e,t.webGLProgram),e.executeProgram()}(this.gpgpu,d,c,h,r),l.forEach((function(e){return i.disposeIntermediateTensorInfo(e)})),m&&(p=this.endTimer(p),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(p)})),!uv().getBool("WEBGL_LAZILY_UNPACK")&&s.isPacked&&!1===a){var v=this.unpackTensor(o);return this.disposeIntermediateTensorInfo(o),v}return o},n.compileAndRun=function(e,t,n,r,a){void 0===a&&(a=!1),n=n||t[0].dtype;var i=this.runWebGLProgram(e,t,n,r,a);return ix().makeTensorFromDataId(i.dataId,i.shape,i.dtype)},n.getAndSaveBinary=function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]},n.getTextureManager=function(){return this.textureManager},n.dispose=function(){var e=this;if(!this.disposed){if(!uv().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}

17));this.textureManager.dispose(),null!=this.canvas&&"undefined"!=typeof HTMLCanvasElement&&this.canvas instanceof HTMLCanvasElement?this.canvas.remove():this.canvas=null,this.gpgpuCreatedLocally&&(this.gpgpu.program=null,this.gpgpu.dispose()),this.disposed=!0}},n.floatPrecision=function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=sx((function(){if(!uv().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=uv().getBool("DEBUG");uv().set("DEBUG",!1);var n=e.abs(sk(1e-8)).dataSync()[0];if(uv().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue},n.epsilon=function(){return 32===this.floatPrecision()?1e-7:1e-4},n.uploadToGPU=function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,a=t.values,i=t.texture,o=t.usage,s=t.isPacked;if(null==i){var u,l=null!=this.activeTimers;l&&(u=ug());var c=t.texShape;if(null==c&&(c=function(e,t){void 0===t&&(t=!1);var n=uv().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t&&(n*=2,1===(e=e.map((function(t,n){return n>=e.length-2?Cv(e[n]):e[n]}))).length&&(e=[2,e[0]])),2!==e.length){var r=Wv(e);e=r.newShape}var a=_v(e);if(e.length<=1&&a<=n)return[1,a];if(2===e.length&&e[0]<=n&&e[1]<=n)return e;if(3===e.length&&e[0]*e[1]<=n&&e[2]<=n)return[e[0]*e[1],e[2]];if(3===e.length&&e[0]<=n&&e[1]*e[2]<=n)return[e[0],e[1]*e[2]];if(4===e.length&&e[0]*e[1]*e[2]<=n&&e[3]<=n)return[e[0]*e[1]*e[2],e[3]];if(4===e.length&&e[0]<=n&&e[1]*e[2]*e[3]<=n)return[e[0],e[1]*e[2]*e[3]];if(t){var i=qB(e),o=2,s=2;if(e.length){var u=KB(e);o=u[0],s=u[1]}return Mv(a=i*(o/2)*(s/2)).map((function(e){return 2*e}))}return Mv(a)}(n,s),t.texShape=c),null!=a){var p,h=XB(n),f=c[1],d=c[0],m=a instanceof Uint8Array;

17if(s){var v=AB(c[0],c[1]);f=v[0],d=v[1],p=new IW(h,[d,f],m)}else p=new NW(h,[d,f],m);var g=this.makeTensorInfo([d,f],r);this.texData.get(g.dataId).usage=m?kB.PIXELS:kB.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(g.dataId),f,d,a);var y=this.runWebGLProgram(p,[g],r,null,!0),b=this.texData.get(y.dataId);t.texture=b.texture,t.texShape=b.texShape,t.isPacked=b.isPacked,t.usage=b.usage,this.disposeIntermediateTensorInfo(g),this.texData.delete(y.dataId),t.values=null,l&&(this.uploadWaitMs+=ug()-u)}else{var x=this.acquireTexture(c,o,r,s);t.texture=x}}},n.convertAndCacheOnCPU=function(e,t){var n=this.texData.get(e),r=n.dtype;return this.releaseGPUData(e),null!=t&&(n.values=function(e,t){if("float32"===t||"complex64"===t)return e;if("int32"===t||"bool"===t){for(var n="int32"===t?new Int32Array(e.length):new Uint8Array(e.length),r=0;r<n.length;++r)n[r]=Math.round(e[r]);return n}throw new Error("Unknown dtype "+t)}(t,r)),n.values},n.acquireTexture=function(e,t,n,r){if(this.numBytesInGPU+=this.computeBytes(e,n),!this.warnedAboutMemory&&this.numBytesInGPU>1024*this.numMBBeforeWarning*1024){var a=(this.numBytesInGPU/1024/1024).toFixed(2);this.warnedAboutMemory=!0,console.warn("High memory usage in GPU: "+a+" MB, most likely due to a memory leak")}return this.textureManager.acquireTexture(e,t,r)},n.computeBytes=function(e,t){return e[0]*e[1]*Kv(t)},n.tryRunOnCpuOrThrow=function(e,t){if(this.shouldExecuteOnCPU(e))try{return t()}catch(e){if(uv().getBool("IS_TEST"))throw new Error("CPU forwarding failed")}return null},t}(rv);qg()&&px("webgl",(function(){return new YV}),2);function JV(e){return function(t){var n=t.inputs,r=t.backend,a=n.x,i=r,o=new IV(a.shape,e);return i.runWebGLProgram(o,[a],a.dtype)}}function ZV(e,t,n,r){return function(a){var i=a.inputs,o=a.backend,s=i.a,u=i.b,l=o,c=uv().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new ZP(t,s.shape,u.shape,!!n):new YP(e,s.shape,u.shape),p=r||s.dtype;return l.runWebGLProgram(c,[s,u],p)}}var QV={kernelName:"Atan2",backendName:"webgl",kernelFunc:ZV("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n","\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n")};function $V(e){var t=e.inputs,n=e.backend,r=t.x;return n.incRef(r.dataId),{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}var eU={kernelName:"Identity",backendName:"webgl",kernelFunc:$V};var tU={kernelName:"AvgPool",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;tP(a,"avgPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Ev(Yx(o,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=Px(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Fv(l.inShape,l.outShape))return $V({inputs:{x:a},backend:n});var c=new nV(l,"avg",!1);return n.runWebGLProgram(c,[a],"float32")}};var nU,rU={kernelName:"AvgPoolBackprop",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;tP([a,i],"avgPoolBackprop");var s=r.filterSize,u=r.strides,l=r.pad,c=Px(o.shape,s,u,1,l),p=new WP(c);return n.runWebGLProgram(p,[a],o.dtype)}},aU=function(e,t,n,r,a,i){this.outputShape=[],this.variableNames=["x","mean","variance"],Mw(e,t),Mw(e,n);var o="0.0";null!=r&&(Mw(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="1.0";null!=a&&(Mw(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+o+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+i+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},iU=function(e,t,n,r,a,i){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],Mw(e,t),Mw(e,n);var o="vec4(0.0)";null!=r&&(Mw(e,r),this.variableNames.push("offset"),o="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=a&&(Mw(e,a),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=e,this.userCode="\n      void main() {\n        vec4 offset = "+o+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+i+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},oU={kernelName:"FusedBatchNorm",backendName:"webgl",kernelFunc:function(e){var t=e.input

17s,n=e.backend,r=e.attrs,a=t.x,i=t.mean,o=t.variance,s=t.offset,u=t.scale;Ev(i.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),Ev(null==s||i.shape.length===s.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),Ev(null==u||i.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var l=r.varianceEpsilon;null==l&&(l=.001);var c=[a,i,o],p=null;null!=s&&(p=s.shape,c.push(s));var h=null;null!=u&&(h=u.shape,c.push(u));var f=uv().getBool("WEBGL_PACK_NORMALIZATION")?new iU(a.shape,i.shape,o.shape,p,h,l):new aU(a.shape,i.shape,o.shape,p,h,l);return n.runWebGLProgram(f,c,c[0].dtype)}},sU=JV("if (isnan(x)) return x;\n  return cos(x);\n"),uU={kernelName:hv,backendName:"webgl",kernelFunc:sU},lU=ZV("\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;","\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n",!0),cU={kernelName:fv,backendName:"webgl",kernelFunc:lU},pU=function(e){this.variableNames=["Image"],this.outputShape=[];var t=e[2];this.outputShape=e,this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n\n          int coordX = "+t+" - x;\n          float outputValue;\n          if(coordX >= 0 && coordX < "+t+") {\n            outputValue = getImage(coords[0], coords[1], coordX, coords[3]);\n          } else {\n            outputValue = getImage(coords[0], coords[1], coords[2], coords[3]);\n          }\n          setOutput(outputValue);\n        }\n    "},hU={kernelName:"FlipLeftRight",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.image,a=n,i=new pU(r.shape);return a.runWebGLProgram(i,[r],r.dtype)}},fU=function(e){this.variableNames=["A"];var t=kP(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+t.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},dU=function(e){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var t=kP(),n=e[0],r=e[1];this.outputShape=e,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+t.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+t.output+" = result;\n      }\n    "},mU={kernelName:"FromPixels",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.pixels,i=r.numChannels,o="undefined"!=typeof HTMLVideoElement&&a instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&a instanceof HTMLImageElement,u=o?[a.videoWidth,a.videoHeight]:[a.width,a.height],l=u[0],c=u[1],p=[c,l],h=[c,l,i];(s||o)&&(null==nU&&(nU=document.createElement("canvas").getContext("2d")),nU.canvas.width=l,nU.canvas.height=c,nU.drawImage(a,0,0,l,c),a=nU.canvas);var f=n.makeTensorInfo(p,"int32");n.texData.get(f.dataId).usage=kB.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(f.dataId),a);var d=uv().getBool("WEBGL_PACK")?new dU(h):new fU(h),m=n.runWebGLProgram(d,[f],"int32");return n.disposeData(f.dataId),m}};function vU(e,t,n,r){for(var a=function(e){for(var t=[];0===t.length||1!==t[t.length-1].outSize;){var n=t.length?t[t.length-1].outSize:e[1],r=Jw(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape),i=e,o=0;o<a.length;o++){var s=a[o],u=s.inSize,l=s.windowSize,c=s.outSize,p=new aV({windowSize:l,inSize:u,batchSize:e.shape[0],outSize:c},n),h=i;i=r.runWebGLProgram(p,[i],t),h.dataId!==e.dataId&&r.disposeData(h.dataId)}return i}

17function gU(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x,i=r.shape,o=n,s=_v(a.shape),u=Bv(i,s),l=_v(u);Ev(s===l,(function(){return"The new shape ("+u+") has "+l+" elements and the old shape ("+a.shape+") has "+s+" elements. The new shape and old shape must have the same number of elements."}));var c=o.texData.get(a.dataId);return!c.isPacked||JB(a.shape,u)||null!==c.texture&&JB(c.shape,u)?(o.incRef(a.dataId),{dataId:a.dataId,shape:u,dtype:a.dtype}):function(e,t,n){var r=[qB(e.shape)].concat(KB(e.shape)),a={dtype:e.dtype,shape:r,dataId:e.dataId},i=[qB(t)].concat(KB(t)),o=new iV(i,r),s=n.runWebGLProgram(o,[a],e.dtype,null,!0);return{dataId:s.dataId,shape:t,dtype:s.dtype}}(a,u,o)}var yU={kernelName:"Reshape",backendName:"webgl",kernelFunc:gU};var bU=function(e,t){this.variableNames=["A"];for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];this.outputShape=n,this.rank=n.length;var a=LP(this.rank),i=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank "+t+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(t),a=0;a<e.length;a++)r[e[a]]=n[a];return r.join()}(t);this.userCode="\n    void main() {\n      "+a+" resRC = getOutputCoords();\n      setOutput(getA("+i+"));\n    }\n    "};var xU=function(e,t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(e.length),r=0;r<n.length;r++)n[r]=e[t[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");for(var a=LP(this.rank),i=xP("rc",this.rank),o=new Array(this.rank),s=0;s<t.length;s++)o[t[s]]=i[s];var u="vec2("+o.slice(-2).join()+")",l="++"+i[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+o.join()+"), "+u+")";this.userCode="\n    void main() {\n      "+a+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+l+") {\n        result[1] = "+c+";\n      }\n      --"+i[this.rank-1]+";\n      if(++"+i[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+l+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "};function wU(e,t,n){var r=uv().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new xU(e.shape,t):new bU(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}var kU={kernelName:"Max",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.reductionIndices,o=n.keepDims,s=r,u=a.shape.length,l=Pv(i,a.shape),c=l,p=Cx(c,u),h=null!=p,f=s.shouldExecuteOnCPU([a]),d=a;if(h){if(f){for(var m=s.texData.get(d.dataId).values,v=new Array(u),g=0;g<v.length;g++)v[g]=a.shape[p[g]];var y=mP(m,a.shape,a.dtype,p,v);d=s.makeTensorInfo(v,a.dtype),s.texData.get(d.dataId).values=y}else d=wU(a,p,s);c=Ex(c.length,u)}Ix("max",c,u);var b,x=Sx(d.shape,c),w=x[0],k=x[1],S=w;if(o&&(S=Nx(w,l)),f){var N=s.texData.get(d.dataId).values,I=cP(N,_v(k),S,a.dtype);b=s.makeTensorInfo(S,a.dtype),s.texData.get(b.dataId).values=I}else b=function(e,t,n,r){var a=_v(t),i=gU({inputs:{x:e},attrs:{shape:[_v(e.shape)/a,a]},backend:r}),o=vU(i,e.dtype,"max",r),s=gU({inputs:{x:o},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(i),r.disposeIntermediateTensorInfo(o),s}(d,k,S,s);return h&&s.disposeIntermediateTensorInfo(d),b}};var SU={kernelName:"MaxPool",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.x;tP(a,"maxPool");var i=r.filterSize,o=r.strides,s=r.pad,u=r.dimRoundingMode;Ev(Yx(o,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '1'"}));var l=Px(a.shape,i,o,1,s,u);if(1===l.filterWidth&&1===l.filterHeight&&Fv(l.inShape,l.outShape))return $V({inputs:{x:a},backend:n});var c=new nV(l,"max",!1);return n.runWebGLProgram(c,[a],a.dtype)}};var NU={kernelName:"MaxPoolBackprop",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,a=t.dy,i=t.input,o=i;tP([i,t.output],"maxPoolBackprop");var s=r.filterSize,u=r.strides,l=r.pad,c=r.dimRoundingMode,p=Px(o.shape,s,u,1,l,c),h=new nV(p,"max",!0),f=n.runWebGLProgram(h,[o

17],o.dtype),d=new XW(p),m=n.runWebGLProgram(d,[a,f],o.dtype);return n.disposeIntermediateTensorInfo(f),m}};var IU={kernelName:"MaxPoolWithArgmax",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,a=t.x,i=n.filterSize,o=n.strides,s=n.pad,u=n.includeBatchInIndex,l=r;Ev(4===a.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank "+a.shape.length+"."}));var c=[1,1];Ev(Yx(o,c),(function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+c+"'"}));var p=Px(a.shape,i,o,c,s),h=function(e,t,n,r){var a=new nV(n,"max",!1),i=r.runWebGLProgram(a,[e],"float32");return a=new nV(n,"max",!0,!0,t),[i,r.runWebGLProgram(a,[e],"float32")]}(a,u,p,l);return[h[0],h[1]]}},CU={kernelName:"NonMaxSuppressionV3",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;uC("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=n;return sI(l.readSync(a.dataId),l.readSync(i.dataId),o,s,u)}},RU=uI,EU={kernelName:"NonMaxSuppressionV4",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;uC("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.padToMaxOutputSize,c=n,p=c.readSync(a.dataId),h=c.readSync(i.dataId),f=RU(p,h,o,s,u,l);return[f.selectedIndices,f.validOutputs]}},AU=lI,TU={kernelName:"NonMaxSuppressionV5",backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs;uC("tf.nonMaxSuppression() in webgl locks the UI thread. Call tf.nonMaxSuppressionAsync() instead");var a=t.boxes,i=t.scores,o=r.maxOutputSize,s=r.iouThreshold,u=r.scoreThreshold,l=r.softNmsSigma,c=n,p=c.readSync(a.dataId),h=c.readSync(i.dataId),f=AU(p,h,o,s,u,l);return[f.selectedIndices,f.selectedScores]}},DU=function(e,t,n,r){this.variableNames=["Image"],this.outputShape=[];var a=e[1],i=e[2],o=Math.sin(t).toFixed(3),s=Math.cos(t).toFixed(3);this.outputShape=e;var u=tC(r,a,i),l=u[0],c=u[1],p=l.toFixed(3),h=c.toFixed(3),f="";f="number"==typeof n?"float outputValue = "+n.toFixed(2)+";":"\n        vec3 fill = vec3("+n.join(",")+");\n        float outputValue = fill[coords[3]];",this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n          int y = coords[1];\n          float coordXFloat = (float(x) - "+p+") * "+s+" - (float(y) - "+h+") * "+o+";\n          float coordYFloat = (float(x) - "+p+") * "+o+" + (float(y) - "+h+") * "+s+";

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