https://see-food.netlify.app/static/js/2.92849f73.chunk.js

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e(t.learningRate,t.beta1,t.beta2,t.epsilon)}}]),n}($e);pt.className="Adam",Ge(pt);var ht=n(50),vt=n(70),bt=function(e){Object(Xe.a)(n,e);var t=Object(Ye.a)(n);function n(e,r,a){var i,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,u=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;return Object(s.a)(this,n),(i=t.call(this)).learningRate=e,i.beta1=r,i.beta2=a,i.epsilon=o,i.decay=u,i.accumulatedFirstMoment=[],i.accumulatedWeightedInfNorm=[],Object(Qe.i)((function(){i.iteration=Object(Ze.a)(0).variable(),i.accBeta1=Object(Ze.a)(r).variable()})),null==o&&(i.epsilon=c.a.backend.epsilon()),i}return Object(l.a)(n,[{key:"applyGradients",value:function(e){var t=this,n=Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e);Object(Qe.i)((function(){var r=Object(dt.a)(1,t.accBeta1),a=Object(rt.a)(-t.learningRate,Object(nt.a)(Object(at.a)(t.iteration,t.decay),1));

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2)):Object.keys(e)).forEach((function(n,r){var a=c.a.registeredVariables[n];if(null==t.accumulations[r]){t.accumulations[r]={originalName:"".concat(n,"/momentum"),variable:Object(Qe.i)((function(){return Object(ut.a)(a).variable(false)}))}}var i=t.accumulations[r].variable,o=Array.isArray(e)?e[r].tensor:e[n];null!=o&&Object(Qe.i)((function(){var e,n=Object(nt.a)(Object(at.a)(t.m,i),o);e=t.useNesterov?Object(nt.a)(Object(at.a)(t.c,Object(nt.a)(o,Object(at.a)(n,t.m))),a):Object(nt.a)(Object(at.a)(t.c,n),a),i.assign(n),a.assign(e)}))})),this.incrementIterations()}},{key:"dispose",value:function(){this.m.dispose(),null!=this.accumulations&&Object(Qe.c)(this.accumulations.map((function(e){return e.variable})))}},{key:"setMomentum",value:function(e){this.momentum=e}},{key:"getWeights",value:function(){var e=Object(v.a)(h.a.mark((function e(){return h.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.saveIterations();case 2:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(this.accumulations.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 4:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Object(v.a)(h.a.mark((function e(t){return h.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,this.extractIterations(t);case 2:t=e.sent,!1,this.accumulations=t.map((function(e){return{originalName:e.name,variable:e.tensor.variable(false)}}));case 5:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getConfig",value:function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}}}],[{key:"fromConfig",value:function(e,t){return new e(t.learningRate,t.momentum,t.useNesterov)}}]),n}(mt);gt.className="Momentum",Ge(gt);var yt=function(e){Object(Xe.a)(n,e);var t=Object(Ye.a)(n);function n(e){var r,a=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.9,i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0,o=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,u=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(Object(s.a)(this,n),(r=t.call(this)).learningRate=e,r.decay=a,r.momentum=i,r.epsilon=o,r.accumulatedMeanSquares=[],r.accumulatedMoments=[],r.accumulatedMeanGrads=[],r.centered=u,null==o&&(r.epsilon=c.a.backend.epsilon()),null==e)throw new Error("learningRate for RMSPropOptimizer must be defined.");return r}return Object(l.a)(n,[{key:"applyGradients",value:function(e){var t=this;(Array.isArray(e)?e.map((function(e){return e.name})):Object.keys(e)).forEach((function(n,r){var a=c.a.registeredVariables[n],i=!1;null==t.accumulatedMeanSquares[r]&&(t.accumulatedMeanSquares[r]={originalName:"".concat(n,"/rms"),variable:Object(Qe.i)((function(){return Object(ut.a)(a).variable(i)}))}),null==t.accumulatedMoments[r]&&(t.accumulatedMoments[r]={originalName:"".concat(n,"/momentum"),variable:Object(Qe.i)((function(){return Object(ut.a)(a).variable(i)}))}),null==t.accumulatedMeanGrads[r]&&t.centered&&(t.accumulatedMeanGrads[r]={originalName:"".concat(n,"/mg"),variable:Object(Qe.i)((function(){return Object(ut.a)(a).variable(i)}))});var o=Array.isArray(e)?e[r].tensor:e[n];if(null!=o){var u=t.accumulatedMeanSquares[r].variable,s=t.accumulatedMoments[r].variable;Object(Qe.i)((function(){var e=Object(nt.a)(Object(at.a)(u,t.decay),Object(at.a)(Object(ot.a)(o),1-t.decay));if(t.centered){var n=t.accumulatedMeanGrads[r].variable,i=Object(nt.a)(Object(at.a)(n,t.decay),Object(at.a)(o,1-t.decay)),c=Object(rt.a)(Object(at.a)(o,t.learningRate),Object(it.a)(Object(dt.a)(e,Object(nt.a)(Object(ot.a)(i),t.epsilon)))),l=Object(nt.a)(Object(at.a)(s,t.momentum),c);u.assign(e),n.assign(i),s.assign(l);var f=Object(dt.a)(a,l);a.assign(f)}else{var d=Object(nt.a)(Object(at.a)(u,t.decay),Object(at.a)(Object(ot.a)(o),1-t.decay)),p=Object(nt.a)(Object(at.a)(s,t.momentum),Object(rt.a)(Object(at.a)(o,t.learningRate),Object(it.a)(Object(nt.a)(d,t.epsilon))));u.assign(d),s.assign(p);var h=Object(dt.a)(a,p);a.assign(h)}}))}})),this.incrementIterations()}},{key:"dispose",value:function(){null!=this.accumulatedMeanSquares&&Object(Qe.c)(this.accumulatedMeanSquares.map((function(e){return e.variable}

2))),null!=this.accumulatedMeanGrads&&this.centered&&Object(Qe.c)(this.accumulatedMeanGrads.map((function(e){return e.variable}))),null!=this.accumulatedMoments&&Object(Qe.c)(this.accumulatedMoments.map((function(e){return e.variable})))}},{key:"getWeights",value:function(){var e=Object(v.a)(h.a.mark((function e(){var t;return h.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return t=[].concat(Object(se.a)(this.accumulatedMeanSquares),Object(se.a)(this.accumulatedMoments)),this.centered&&t.push.apply(t,Object(se.a)(this.accumulatedMeanGrads)),e.next=4,this.saveIterations();case 4:return e.t0=e.sent,e.abrupt("return",[e.t0].concat(t.map((function(e){return{name:e.originalName,tensor:e.variable}}))));case 6:case"end":return e.stop()}}),e,this)})));return function(){return e.apply(this,arguments)}}()},{key:"setWeights",value:function(){var e=Object(v.a)(h.a.mark((function e(t){var n,r;return h.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return 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ct(e,t,n)}},{key:"adamax",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:.002,t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.9,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:.999,r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:null,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;return new bt(e,t,n,r,a)}},{key:"adagrad",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:.1;return new lt(e,t)}}]),e}(),kt={sgd:Ot.sgd,momentum:Ot.momentum,adadelta:Ot.adadelta,adagrad:Ot.adagrad,rmsprop:Ot.rmsprop,adamax:Ot.adamax,adam:Ot.adam},xt=n(202),wt=n(77),jt=n(62),St=n(34),Nt=n(28),It=n(140),Ct=n(30),Et=n(51),Tt=n(154);function At(e,t,n){return[n*("number"===typeof e?e:e[0]),t*("number"===typeof e?e:e[1])]}function Rt(e,t,n){var r=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],a=[];if(r)(a=a.concat(t.slice(0))).push(e[0]/n),a=a.concat(e.slice(1));else{a=a.concat(e[0]);for(var 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The gradient of input ")+"'".concat(t,"' has shape '").concat(a.shape,"', which does not match ")+"the shape of the input '".concat(o.shape,"'"));if(null==e[o.id])e[o.id]=a;else{var c=e[o.id];e[o.id]=r(c,a),c.dispose()}};for(var s in i.inputs)c(s)},i=t.length-1;i>=0;i--)a(i)}var O=n(9),k=n(35),x=n(17),w=function(){function e(){Object(c.a)(this,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 Object(s.a)(e,[{key:"dispose",value:function(){for(var e in this.registeredVariables)this.registeredVariables[e].dispose()}}]),e}(),j=function(){function e(t){Object(c.a)(this,e),this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new w}return Object(s.a)(e,[{key:"ready",value:function(){var e=Object(u.a)(o.a.mark((function e(){var t,n,r;return o.a.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)}}()},{key:"backendNames",value:function(){return Object.keys(this.registryFactory)}},{key:"findBackend",value: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]}},{key:"findBackendFactory",value:function(e){return e in this.registryFactory?this.registryFactory[e].factory:null}},{key:"registerBackend",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1;return e in this.registryFactory?(console.warn("".concat(e," backend was already registered. ")+"Reusing existing backend factory."),!1):(this.registryFactory[e]={factory:t,priority:n},!0)}},{key:"setBackend",value:function(){var e=Object(u.a)(o.a.mark((function e(t){var n,r;return o.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=this.registryFactory[t]){e.next=2;break}throw new Error("Backend name '".concat(t,"' not found in registry"));case 2:if(this.backendName=t,null!=this.registry[t]){e.next=16;break}if(this.backendInstance=null,n=this.initializeBackend(t),r=n.success,!n.asyncInit){e.next=12;break}return e.next=9,r;case 9:e.t0=e.sent,e.next=13;break;case 12:e.t0=r;case 13:if(e.t0){e.next=16;break}return e.abrupt("return",!1);case 16:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new b(this.backendInstance),e.abrupt("return",!0);case 20:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"setupRegisteredKernels",value:function(){var e=this;Object(h.c)(this.backendName).forEach((function(t){null!=t.setupFunc&&t.setupFunc(e.backendInstance)}))}},{key:"disposeRegisteredKernels",value:function(e){var t=this;Object(h.c)(e).forEach((function(n){null!=n.disposeFunc&&n.disposeFunc(t.registry[e])}))}},{key:"initializeBackend",value:function(e){var t=this,n=this.registryFactory[e];if(null==n)throw new Error("Cannot initialize backend ".concat(e,", no registration found."));try{var r=n.factory();if(!r||r instanceof l.b||"function"!==typeof r.then)return this.registry[e]=r,{success:!0,asyncInit:!1};var a=++this.pendingBackendInitId,i=r.then((function(n){return!(a<t.pendingBackendInitId)&&(t.registry[e]=n,t.pendingBackendInit=null,!0)})).catch((function(n){return a<t.pendingBackendInitId||(t.pendingBackendInit=null,console.warn("Initialization of backend ".concat(e," failed")),console.warn(n.stack||n.message)),!1}));return this.pendingBackendInit=i,{success:i,asyncInit:!0}}catch(o){return console.warn("Initialization of backend ".concat(e," failed")),console.warn(o.stack||o.message),{success:!1,asyncInit:!1}}}},{key:"removeBackend",value:function(e){if(!(e in this.registryFactory))throw new Error("".concat(e," backend not found in registry"));this.backendName===e&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,e in this.registry&&(this.disposeRegisteredKernels(e),this.registry[e].dispose(),delete this.registry[e]),delete this.registryFactory[e],this.backendName===e&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)}},{key:"getSortedBackends",value:function(){var e=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort((function(t,n){return e.registryFactory[n].priority-e.registryFactory[t].priority}))}},{key:"initializeBackendsAndReturnBest",value:function(){for(var e=this.getSortedBackends(),t=0;t<e.length;t++){var n=e[t],r=this.initializeBackend(n),a=r.success,i=r.asyncInit;if(i||a)return{name:n,asyncInit:i}}throw new Error("Could not initialize any backends, all backend initializations failed.")}},{key:"moveData",value:function(e,t){var n=this.state.tensorInfo.get(t),r=n.backend,a=this.readSync(t);r.disposeData(t),n.backend=e,e.move(t,a,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++}},{key:"tidy",value:function(e,t){var n,r=this,a=null;if(null==t){if("function"!==typeof e)throw new Error("Please provide a function to tidy()");t=e}else{if("string"!==typeof e&&!(e instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!==typeof t)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");a=e}return this.scopedRun((function(){return r.startScope(a)}),(function(){return r.endScope(n)}),(function(){return(n=t())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n}))}},{key:"scopedRun",value:function(e,t,n){e();try{var r=n();return t(),r}catch(a){throw t(),a}}},{key:"nextTensorId",value:function(){return e.nextTensorId++}},{key:"nextVariableId",value:function(){return e.nextVariableId++}},{key:"clone",value:function(e){var t=this.makeTensorFromDataId(e.dataId,e.shape,e.dtype),n={x:e};return this.addTapeNode(this.state.activeScope.name,n,[t],(function(e){return{x:function(){var t="float32",n={x:e},r={dtype:t};return I.runKernelFunc((function(n){return n.cast(e,t)}),n,null,p.v,r)}}}),[],{}),t}},{key:"runKernel",value:function(e,t,n,r,a){return this.runKernelFunc(null,t,null,e,n,r,a)}},{key:"shouldCheckForMemLeaks",value:function(){return this.ENV.getBool("IS_TEST")}},{key:"checkKernelForMemLeak",value:function(e,t,n){var r=this.backend.numDataIds(),a=0;

2n.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 '".concat(this.backendName,"' has an internal memory leak ")+"(".concat(o," data ids) after running '").concat(e,"'"))}},{key:"runKernelFunc",value:function(e,t,n,r,a,i,o){var u,c=this,s=[],l=this.isTapeOn();null==r&&(r=null!=this.state.activeScope?this.state.activeScope.name:"");var f,d=this.state.numBytes,p=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var v,b,m=Object(h.b)(r,this.backendName);if(null!=m)f=function(){var e=c.backend.numDataIds();v=m.kernelFunc({inputs:t,attrs:a,backend:c.backend});var n=Array.isArray(v)?v:[v];c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(r,e,n);var u=n.map((function(e){var t=e.dataId,n=e.shape,r=e.dtype;return c.makeTensorFromDataId(t,n,r)}));if(l){var f=c.getTensorsForGradient(r,t,u);if(null==f){null==o&&(o=[]);var d=u.filter((function(e,t){return o[t]}));f=(i||[]).slice().concat(d)}s=c.saveTensorsForBackwardMode(f)}return u};else{var g=function(e){l&&(s=e.map((function(e){return c.keep(c.clone(e))})))};f=function(){var t=c.backend.numDataIds();v=c.tidy((function(){return e(c.backend,g)}));var n=Array.isArray(v)?v:[v];return c.shouldCheckForMemLeaks()&&c.checkKernelForMemLeak(r,t,n),n}}return this.scopedRun((function(){return c.state.kernelDepth++}),(function(){return c.state.kernelDepth--}),(function(){c.ENV.getBool("DEBUG")||c.state.profiling?(b=c.profiler.profileKernel(r,t,(function(){return f()})),c.ENV.getBool("DEBUG")&&c.profiler.logKernelProfile(b),u=b.outputs):u=f()})),l&&this.addTapeNode(r,t,u,n,s,a),this.state.profiling&&this.state.activeProfile.kernels.push({name:r,bytesAdded:this.state.numBytes-d,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-p,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(t).map((function(e){return null!=t[e]?t[e].shape:null})),outputShapes:u.map((function(e){return e.shape})),kernelTimeMs:b.timeMs,extraInfo:b.extraInfo}),Array.isArray(v)?u:u[0]}},{key:"saveTensorsForBackwardMode",value:function(e){var t=this;return e.map((function(e){return t.keep(t.clone(e))}))}},{key:"getTensorsForGradient",value:function(e,t,n){var r=Object(h.a)(e);if(null!=r){var a,i=r.inputsToSave||[],o=r.outputsToSave||[];r.saveAllInputs?(v.b(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 u=n.filter((function(e,t){return o[t]}));return a.concat(u)}return null}},{key:"makeTensor",value: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&&v.z(e[0])&&(a=e.map((function(e){return x.encodeString(e)})));var i=r.write(a,t,n),o=new O.a(t,n,i,this.nextTensorId());if(this.incRef(o,r),"string"===n){var u=this.state.tensorInfo.get(i),c=Object(v.f)(a);this.state.numBytes+=c-u.bytes,u.bytes=c}return o}},{key:"makeTensorFromDataId",value:function(e,t,n,r){n=n||"float32";var a=new O.a(t,n,e,this.nextTensorId());return this.incRef(a,r),a}},{key:"makeVariable",value:function(e){var t=!(arguments.length>1&&void 0!==arguments[1])||arguments[1],n=arguments.length>2?arguments[2]:void 0,r=arguments.length>3?arguments[3]:void 0;n=n||this.nextVariableId().toString(),null!=r&&r!==e.dtype&&(e=e.cast(r));var a=new O.c(e,t,n,this.nextTensorId());if(null!=this.state.registeredVariables[a.name])throw new Error("Variable with name ".concat(a.name," was already registered"));return this.state.registeredVariables[a.name]=a,this.incRef(a,this.backend),a}},{key:"incRef",value: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*v.g(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 O.c||this.track(e)}},{key:"disposeTensor",value: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--}}},{key:"disposeVariables",value:function(){for(var e in this.state.registeredVariables){var t=this.state.registeredVariables[e];this.disposeVariable(t)}

2}},{key:"disposeVariable",value:function(e){this.disposeTensor(e),null!=this.state.registeredVariables[e.name]&&delete this.state.registeredVariables[e.name]}},{key:"memory",value:function(){var e=this.backend.memory();return e.numTensors=this.state.numTensors,e.numDataBuffers=this.state.numDataBuffers,e.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(e.unreliable=!0,null==e.reasons&&(e.reasons=[]),e.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),e}},{key:"profile",value:function(){var e=Object(u.a)(o.a.mark((function e(t){var n,i,u,c,s;return o.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return this.state.profiling=!0,n=this.state.numBytes,i=this.state.numTensors,this.state.activeProfile.kernels=[],e.next=6,t();case 6:this.state.activeProfile.result=e.sent,this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,Object(a.a)(this.state.activeProfile.kernels.map((function(e){return e.totalBytesSnapshot})))),this.state.activeProfile.newBytes=this.state.numBytes-n,this.state.activeProfile.newTensors=this.state.numTensors-i,u=Object(r.a)(this.state.activeProfile.kernels),e.prev=12,u.s();case 14:if((c=u.n()).done){e.next=24;break}return s=c.value,e.next=18,s.kernelTimeMs;case 18:return s.kernelTimeMs=e.sent,e.next=21,s.extraInfo;case 21:s.extraInfo=e.sent;case 22:e.next=14;break;case 24:e.next=29;break;case 26:e.prev=26,e.t0=e.catch(12),u.e(e.t0);case 29:return e.prev=29,u.f(),e.finish(29);case 32:return e.abrupt("return",this.state.activeProfile);case 33:case"end":return e.stop()}}),e,this,[[12,26,29,32]])})));return function(t){return e.apply(this,arguments)}}()},{key:"isTapeOn",value:function(){return this.state.gradientDepth>

20&&0===this.state.kernelDepth}},{key:"addTapeNode",value:function(e,t,n,r,a,i){var o=this,u={id:this.state.nextTapeNodeId++,kernelName:e,inputs:t,outputs:n,saved:a},c=Object(h.a)(e);null!=c&&(r=c.gradFunc),null!=r&&(u.gradient=function(e){return e=e.map((function(e,t){if(null==e){var r=n[t],a=v.F(r.size,r.dtype);return o.makeTensor(a,r.shape,r.dtype)}return e})),r(e.length>1?e:e[0],a,i)}),this.state.activeTape.push(u)}},{key:"keep",value:function(e){return e.kept=!0,e}},{key:"startTape",value:function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++}},{key:"endTape",value:function(){this.state.gradientDepth--}},{key:"startScope",value:function(e){var t={track:[],name:"unnamed scope",id:this.state.nextScopeId++};e&&(t.name=e),this.state.scopeStack.push(t),this.state.activeScope=t}},{key:"endScope",value:function(e){for(var t=this,n=Object(k.getTensorsInContainer)(e),r=new Set(n.map((function(e){return e.id}))),a=0;a<this.state.activeScope.track.length;a++){var i=this.state.activeScope.track[a];i.kept||r.has(i.id)||i.dispose()}var o=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach((function(e){e.kept||e.scopeId!==o.id||t.track(e)}))}},{key:"gradients",value:function(e,t,n){var a=this,i=arguments.length>3&&void 0!==arguments[3]&&arguments[3];if(v.b(t.length>0,(function(){return"gradients() received an empty list of xs."})),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '".concat(n.dtype,"'"));var o=this.scopedRun((function(){return a.startTape()}),(function(){return a.endTape()}),(function(){return a.tidy("forward",e)}));v.b(o instanceof O.a,(function(){return"The result y returned by f() must be a tensor."}));var u=g(this.state.activeTape,t,o);if(!i&&0===u.length&&t.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. 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2CunUniform:"LeCunUniform",ones:"Ones",orthogonal:"Orthogonal",randomNormal:"RandomNormal",randomUniform:"RandomUniform",truncatedNormal:"TruncatedNormal",varianceScaling:"VarianceScaling",zeros:"Zeros"};function tt(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return D(e,a.yd.SerializationMap.getMap().classNameMap,t,"initializer")}function nt(e){return R(e)}function rt(e){if("string"===typeof e){var t=e in et?et[e]:e;if("GlorotNormal"===t)return new Xe;if("GlorotUniform"===t)return new Ke;if("HeNormal"===t)return new Ye;if("HeUniform"===t)return new Qe;if("LeCunNormal"===t)return new Je;if("LeCunUniform"===t)return new Ze;var n={};return n.className=t,n.config={},tt(n)}return e instanceof ze?e:tt(e)}var at=0;function it(){return at++}var ot={};function ut(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"";return e in ot||(ot[e]=0),ot[e]+=1,e+ot[e].toString()}function ct(e){return Array.isArray(e)&&Array.isArray(e[0])}function st(e){return 0===e.length?[]:Array.isArray(e[0])?e:[e]}function lt(e){var t;if(Array.isArray(e)){if(1!==e.length)throw new k("Expected Tensor length to be 1; got ".concat(e.length));t=e[0]}else t=e;return t}function ft(e){if(Array.isArray(e)&&Array.isArray(e[0])){if(1===e.length)return(e=e)[0];throw new k("Expected exactly 1 Shape; got ".concat(e.length))}return e}function dt(e){var t,n=0,r=Object(d.a)(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;0===a.shape.length?n+=1:n+=a.shape.reduce((function(e,t){return e*t}))}}catch(i){r.e(i)}finally{r.f()}return n}var pt="Variable",ht=function(){function e(t){var n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:"float32",r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:pt,o=!(arguments.length>3&&void 0!==arguments[3])||arguments[3],u=arguments.length>4&&void 0!==arguments[4]?arguments[4]:null;Object(i.a)(this,e),this.dtype=null==n?"float32":n,this.shape=t.shape,this.id=it(),r=null==r?pt:r,this.originalName=se(r),this.name=le(this.originalName),this.trainable_=o,this.constraint=u,this.val=a.ee(t,this.trainable_,this.name,this.dtype)}return Object(o.a)(e,[{key:"read",value:function(){return this.assertNotDisposed(),this.val}},{key:"write",value:function(e){return this.assertNotDisposed(),function(e,t){if(e.shape.toString()!==t.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(e.shape)+" vs. "+JSON.stringify(t.shape))}(this.val,e),this.val.id!==e.id&&(this.val.assign(e),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this}},{key:"dispose",value:function(){this.assertNotDisposed(),this.val.dispose()}},{key:"assertNotDisposed",value:function(){if(this.val.isDisposed)throw new Error("LayersVariable ".concat(this.name," is already disposed."))}},{key:"trainable",get:function(){return this.trainable_},set:function(e){this.trainable_=e,this.val.trainable=e}}]),e}();function vt(e){return e.map((function(e){return e.read()}))}function bt(e){e.forEach((function(e){e[0].write(e[1])}))}var mt=function e(t){Object(i.a)(this,e),this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}},gt=function e(t,n,r,a,o,u,c){Object(i.a)(this,e),this.dtype=t,this.shape=n,this.sourceLayer=r,this.inputs=a,this.callArgs=o,this.outputTensorIndex=c,this.id=it(),null!=u&&(this.originalName=se(u),this.name=le(this.originalName)),this.rank=n.length},yt=0,Ot=function(){function e(t,n){Object(i.a)(this,e),this.callArgs=n,this.id=yt++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;var r,a=Object(d.a)(t.inboundLayers);try{for(a.s();!(r=a.n()).done;){var o=r.value;null!=o&&o.outboundNodes.push(this)}}catch(u){a.e(u)}finally{a.f()}t.outboundLayer.inboundNodes.push(this)}return Object(o.a)(e,[{key:"getConfig",value:function(){var e,t=[],n=Object(d.a)(this.inboundLayers);try{for(n.s();!(e=n.n()).done;){var r=e.value;null!=r?t.push(r.name):t.push(null)}}catch(a){n.e(a)}finally{n.f()}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inbou

2ndLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}}}]),e}(),kt=0,xt=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(){var e,r=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{};Object(i.a)(this,n),(e=t.call(this))._callHook=null,e._addedWeightNames=[],e._stateful=!1,e.id=kt++,e.activityRegularizer=null,e.inputSpec=null,e.supportsMasking=!1,e._trainableWeights=[],e._nonTrainableWeights=[],e._losses=[],e._updates=[],e._built=!1,e.inboundNodes=[],e.outboundNodes=[];var a=r.name;if(!a){var o=e.getClassName();a=E(o)+"_"+ut(o)}if(e.name=a,e.trainable_=null==r.trainable||r.trainable,null!=r.inputShape||null!=r.batchInputShape){var u;if(null!=r.batchInputShape)u=r.batchInputShape;else if(null!=r.inputShape){var c=null;null!=r.batchSize&&(c=r.batchSize),u=[c].concat(r.inputShape)}e.batchInputShape=u;var s=r.dtype;null==s&&(s=r.inputDType),null==s&&(s="float32"),e.dtype=s}return null!=r.weights?e.initialWeights=r.weights:e.initialWeights=null,e._refCount=null,e.fastWeightInitDuringBuild=!1,e}return Object(o.a)(n,[{key:"getNodeAtIndex",value:function(e,t){if(0===this.inboundNodes.length)throw new O("The layer has never been called "+"and thus has no defined ".concat(t,"."));if(this.inboundNodes.length<=e)throw new k("Asked to get ".concat(t," at node ").concat(e,", ")+"but the layer has only ".concat(this.inboundNodes.length," inbound nodes."));return this.inboundNodes[e]}},{key:"getInputAt",value:function(e){return I(this.getNodeAtIndex(e,"input").inputTensors)}},{key:"getOutputAt",value:function(e){return I(this.getNodeAtIndex(e,"output").outputTensors)}},{key:"calculateLosses",value:function(){return this.losses.map((function(e){return e()}))}},{key:"resetStates",value:function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")}},{key:"assertInputCompatibility",value:function(e){if(e=C(e),null!=this.inputSpec&&0!==this.inputSpec.length){var t=C(this.inputSpec);if(e.length!==t.length)throw new k("Layer ".concat(this.name," expects ").concat(t.length," inputs, ")+"but it received ".concat(e.length," input tensors. ")+"Input received: ".concat(e));for(var n=0;n<e.length;n++){var r=e[n],a=t[n];if(null!=a){var i=r.rank;if(null!=a.ndim&&i!==a.ndim)throw new k("Input ".concat(n," is incompatible with layer ").concat(this.name,": ")+"expected ndim=".concat(a.ndim,", found ndim=").concat(i));if(null!=a.maxNDim&&i>a.maxNDim)throw new k("Input ".concat(n," is incompatible with layer ").concat(this.name)+": expected max_ndim=".concat(a.maxNDim,", found ndim=").concat(i));if(null!=a.minNDim&&i<a.minNDim)throw new k("Input ".concat(n," is incompatible with layer ").concat(this.name)+": expected min_ndim=".concat(a.minNDim,", found ndim=").concat(i,"."));if(null!=a.dtype&&r.dtype!==a.dtype)throw new k("Input ".concat(n," is incompatible with layer ").concat(this.name," ")+": expected dtype=".concat(a.dtype,", found dtype=").concat(r.dtype,"."));if(a.axes){var o=r.shape;for(var u in a.axes){var c=Number(u),s=a.axes[u],l=c>=0?o[c]:o[o.length+c];if(null!=s&&-1===[s,null].indexOf(l))throw new k("Input ".concat(n," is incompatible with layer ")+"".concat(this.name,": expected axis ").concat(c," of input shape to ")+"have value ".concat(s," but got shape ").concat(o,"."))}}if(null!=a.shape)for(var f=0;f<a.shape.length;++f){var d=a.shape[f],p=r.shape[f];if(null!=d&&null!=p&&d!==p)throw new k("Input ".concat(n," is incompatible with layer ")+"".concat(this.name,": expected shape=").concat(a.shape,", ")+"found shape=".concat(r.shape,"."))}}}}}},{key:"call",value:function(e,t){return e}},{key:"invokeCallHook",value:function(e,t){null!=this._callHook&&this._callHook(e,t)}},{key:"setCallHook",value:function(e){this._callHook=e}},{key:"clearCallHook",value:function(){this._callHook=null}},{key:"apply",value:function(e,t){var n=this;t=t||{},this.assertNotDisposed();var r,a=C(e),i=!0,o=Object(d.a)(a);try{for(o.s();!(r=o.n()).done;){if(!(r.value instanceof gt)){i=!1;break}}}catch(l){o.e(l)}finally{o.f()}var u,c=!0,s=Object(d.a)(a);try{for(s.s();!(u=s.n()).done;){if(u.value instanceof gt){c=!1;break}}}catch(l){s.e(l)}finally{s.f()}if(i===c)throw new k("Arguments to apply() must be all SymbolicTensors or all Tensors");return ce(this.name,(function(){if(!n.built){n.assertInputCompatibility(e);var r,i=[],o=Object(d.a)(C(e));try{for(o.s();!(r=o.n()).done;){var u=r.value;i.push(u.shape)}}catch(l){o.e(l)}finally{o.f()}n.build(I(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&c&&(n._refCount=1)}if(n.assertInputCompatibility(e),c){var s,f=n.call(e,t),p=C(f),h=[],v=Object(d.a)(p);try{for(v.s();!(s=v.n()).done;){var b=s.value;-1!==a.indexOf(b)&&(b=b.clone()),h.push(b)}}catch(l){v.e(l)}finally{v.f()}if(f=I(h),null!=n.activityRegularizer)throw new x("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return f}var m,g=function(e){e=C(e);var t,n=[],r=Object(d.a)(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;n.push(a.shape)}}catch(l){r.e(l)}finally{r.f()}return I(n)}(e),y=n.computeOutputShape(g),O="float32";if(n.warnOnIncompatibleInputShape(Array.isArray(e)?g[0]:g),m=null!=y&&y.length>0&&Array.isArray(y[0])?y.map((function(r,a){return new gt(O,r,n,C(e),t,n.name,a)})):new gt(O,y,n,C(e),t,n.name),n.addInboundNode(e,m,null,null,g,y,t),n._refCount++,null!=n.activityRegularizer)throw new x("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m}))}},{key:"warnOnIncompatibleInputShape",value:function(e){if(null!=this.batchInputShape)if(e.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+"".concat(JSON.stringify(e),") does not match that of the ")+"batchInputShape (".concat(JSON.stringify(this.batchInputShape),") ")+"of the layer ".concat(this.name));else{var t=!1;this.batchInputShape.forEach((function(n,r){null!=n&&null!=e[r]&&e[r]!==n&&(t=!0)})),t&&console.warn("The shape of the input tensor "+"(".concat(JSON.stringify(e),") does not ")+"match the expectation of layer ".concat(this.name,": ")+"".concat(JSON.stringify(this.batchInputShape)))}}},{key:"countParams",value:function(){if(!this.built)throw new O("You tried to call countParams() on ".concat(this.name,", ")+"but the layer is not built yet. Build it first by calling build(batchInputShape).");return dt(this.weights)}},{key:"build",value:function(e){this.built=!0}},{key:"getWeights",value:function(){var e=arguments.length>0&&void 0!==arguments[0]&&arguments[0];return vt(e?this.trainableWeights:this.weights)}},{key:"setWeights",value:function(e){var t=this;

2Object(a.Wd)((function(){var n=t.weights;if(n.length!==e.length)throw new k('You called setWeights(weights) on layer "'.concat(t.name,'" ')+"with a weight list of length ".concat(e.length,", ")+"but the layer was expecting ".concat(n.length," weights. ")+"Provided weights: ".concat(e,"..."));if(0!==n.length){for(var r=[],i=vt(n),o=0;o<i.length;++o){var u=i[o],c=n[o],s=e[o];if(!a.de.arraysEqual(u.shape,s.shape))throw new k("Layer weight shape ".concat(u.shape," ")+"not compatible with provided weight shape ".concat(s.shape));r.push([c,s])}bt(r)}}))}},{key:"addWeight",value:function(e,t,n,r,a,i,o){if(-1!==this._addedWeightNames.indexOf(e))throw new k("Duplicate weight name ".concat(e," for layer ").concat(this.name));this._addedWeightNames.push(e),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=rt("zeros"));var u=r.apply(t,n),c=new ht(u,n,e,i,o);return u.dispose(),null!=a&&this.addLoss((function(){return a.apply(c.read())})),null==i&&(i=!0),i?this._trainableWeights.push(c):this._nonTrainableWeights.push(c),c}},{key:"setFastWeightInitDuringBuild",value:function(e){this.fastWeightInitDuringBuild=e}},{key:"addLoss",value:function(e){var t;null==e||Array.isArray(e)&&0===e.length||(e=C(e),void 0!==this._losses&&null!==this._losses&&(t=this.losses).push.apply(t,Object(l.a)(e)))}},{key:"computeOutputShape",value:function(e){return e}},{key:"computeMask",value:function(e,t){var n=this;if(!this.supportsMasking){if(null!=t){if(!Array.isArray(t))throw new TypeError("Layer ".concat(this.name," does not support masking, ")+"but was passed an inputMask.");t.forEach((function(e){if(null!=e)throw new TypeError("Layer ".concat(n.name," does not support masking, ")+"but was passed an inputMask.")}))}return null}return t}},{key:"addInboundNode",value:function(e,t,n,r,a,i){var o=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,u=C(e);t=C(t),n=C(n),r=C(r),a=st(a),i=st(i);var c,s=[],l=[],f=[],p=Object(d.a)(u);try{for(p.s();!(c=p.n()).done;){var h=c.value;s.push(h.sourceLayer),l.push(h.nodeIndex),f.push(h.tensorIndex)}}catch(b){p.e(b)}finally{p.f()}new Ot({outboundLayer:this,inboundLayers:s,nodeIndices:l,tensorIndices:f,inputTensors:u,outputTensors:t,inputMasks:n,outputMasks:r,inputShapes:a,outputShapes:i},o);for(var v=0;v<t.length;v++)t[v].sourceLayer=this,t[v].nodeIndex=this.inboundNodes.length-1,t[v].tensorIndex=v}},{key:"getConfig",value:function(){var e={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(e.batchInputShape=this.batchInputShape),null!=this.dtype&&(e.dtype=this.dtype),e}},{key:"disposeWeights",value:function(){return this.weights.forEach((function(e){return e.dispose()})),this.weights.length}},{key:"assertNotDisposed",value:function(){if(0===this._refCount)throw new Error("Layer '".concat(this.name,"' is already disposed."))}},{key:"dispose",value:function(){if(!this.built)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been ")+"built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer ".concat(this.name," because it has not been used ")+"yet.");this.assertNotDisposed();var e=0;return 0===--this._refCount&&(e=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:e}}},{key:"input",get:function(){if(this.inboundNodes.length>1)throw new y("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new y("Layer ".concat(this.name)+" is not connected, no input to return.");return I(this.getNodeAtIndex(0,"input").inputTensors)}},{key:"output",get:function(){if(0===this.inboundNodes.length)throw new y("Layer ".concat(this.name)+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new y("Layer ".concat(this.name)+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return I(this.getNodeAtIndex(0,"output").outputTensors)}},{key:"losses",get:function(){return this._losses}},{key:"updates",get:function(){return this._updates}},{key:"built",get:function(){return this._built},set:function(e){this._built=e}},{key:"trainable",get:function(){return this.trainable_}

2,set:function(e){this._trainableWeights.forEach((function(t){return t.trainable=e})),this.trainable_=e}},{key:"trainableWeights",get:function(){return this.trainable_?this._trainableWeights.filter((function(e){return e.trainable})):[]},set:function(e){this._trainableWeights=e}},{key:"nonTrainableWeights",get:function(){return this.trainable?this._trainableWeights.filter((function(e){return!e.trainable})).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(e){this._nonTrainableWeights=e}},{key:"weights",get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)}},{key:"stateful",get:function(){return this._stateful}},{key:"outputShape",get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new y("The layer ".concat(this.name," has never been called and thus has no ")+"defined output shape.");var e,t=[],n=Object(d.a)(this.inboundNodes);try{for(n.s();!(e=n.n()).done;){var r=e.value,a=JSON.stringify(r.outputShapes);-1===t.indexOf(a)&&t.push(a)}}catch(o){n.e(o)}finally{n.f()}if(1===t.length){var i=this.inboundNodes[0].outputShapes;return Array.isArray(i)&&Array.isArray(i[0])&&1===i.length?i[0]:i}throw new y("The layer ".concat(this.name," has multiple inbound nodes with different ")+'output shapes. Hence the notion of "output shape" is ill-defined for the layer.')}}],[{key:"nodeKey",value:function(e,t){return e.name+"_ib-"+t.toString()}}]),n}(a.yd.Serializable);function wt(e,t,n){if((null==t||null!=n&&n>0)&&(t=e.sourceLayer,n=e.nodeIndex),0===t.inboundNodes.length)return[e];var r=t.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var a=[],i=0;i<r.inboundLayers.length;i++){var o,u=wt(r.inputTensors[i],r.inboundLayers[i],r.nodeIndices[i]),c=Object(d.a)(u);try{for(c.s();!(o=c.n()).done;){var s=o.value;-1===a.indexOf(s)&&a.push(s)}}catch(l){c.e(l)}finally{c.f()}}return a}var jt=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),r=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:ut("input").toString()}),null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),r.trainable=!1,r.built=!0,r.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new k("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var a=e.batchInputShape;if(null==a){if(null==e.inputShape)throw new k("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");a=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new k("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var o=e.dtype||"float32";r.batchInputShape=a,r.dtype=o,r.inputSpec=[{shape:a}];var u=new gt(r.dtype,r.batchInputShape,Object(p.a)(r),[],{},r.name);return u.nodeIndex=0,u.tensorIndex=0,new Ot({outboundLayer:Object(p.a)(r),inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[u],outputTensors:[u],inputMasks:[null],outputMasks:[null],inputShapes:[a],outputShapes:[a]}),r}return Object(o.a)(n,[{key:"apply",value:function(e,t){throw new k("Cannot pass any input to an "+"InputLayer's apply() method. InputLayer name: ".concat(this.name))}},{key:"dispose",value:function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}}},{key:"getConfig",value:function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}}}]),n}(xt);function St(e){if(null==e.batchShape&&null==e.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=e.batchShape&&null!=e.shape)throw new k("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var t=e.batchShape;null!=e.shape&&null==t&&(t=[null].concat(e.shape));var n=e.dtype;return null==n&&(n="float32"),new jt({batchInputShape:t,name:e.name,dtype:n,sparse:e.sparse}).inboundNodes[0].outputTensors[0]}jt.className="InputLayer",a.yd.registerClass(jt);var Nt,It=n(4),Ct=n.n(It),Et=n(12);function Tt(e){return At.apply(this,arguments)}function At(){return(At=Object(Et.a)(Ct.a.mark((function e(t){var n,r,i,o,u,c,s,l;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(null!=t){e.next=2;break}return e.abrupt("return");case 2:for(o in n=[],r=[],i=[],t)"number"!==typeof(u=t[o])&&(c=u,n.push(c.data()),r.push(o),i.push(c));if(!(n.length>0)){e.next=12;break}return e.next=9,Promise.all(n);case 9:for(s=e.sent,l=0;l<s.length;++l)t[r[l]]=s[l][0];

2Object(a.vc)(i);case 12:case"end":return e.stop()}}),e)})))).apply(this,arguments)}function Rt(e){if(null!=e)for(var t in e){var n=e[t];"number"!==typeof n&&n.dispose()}}!function(e){e[e.SILENT=0]="SILENT",e[e.VERBOSE=1]="VERBOSE"}(Nt||(Nt={}));var _t=function(){function e(){Object(i.a)(this,e),this.validationData=null}return Object(o.a)(e,[{key:"setParams",value:function(e){this.params=e}},{key:"onEpochBegin",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t,n){return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onEpochEnd",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t,n){return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:case"end":return e.stop()}}),e)})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onBatchBegin",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t,n){return 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e.stop()}}),e,this,[[2,12,15,18]])})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onEpochEnd",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t,n){var r,a,i;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Object(d.a)(this.callbacks),e.prev=2,r.s();case 4:if((a=r.n()).done){e.next=10;break}return i=a.value,e.next=8,i.onEpochEnd(t,n);case 8:e.next=4;break;case 10:e.next=15;break;case 12:e.prev=12,e.t0=e.catch(2),r.e(e.t0);case 15:return e.prev=15,r.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onBatchBegin",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t,n){var r,a,i;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Object(d.a)(this.callbacks),e.prev=2,r.s();case 4:if((a=r.n()).done){e.next=10;break}return i=a.value,e.next=8,i.onBatchBegin(t,n);case 8:e.next=4;break;case 10:e.next=15;break;case 12:e.prev=12,e.t0=e.catch(2),r.e(e.t0);case 15:return e.prev=15,r.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onBatchEnd",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t,n){var r,a,i;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:null==n&&(n={}),r=Object(d.a)(this.callbacks),e.prev=2,r.s();case 4:if((a=r.n()).done){e.next=10;break}return i=a.value,e.next=8,i.onBatchEnd(t,n);case 8:e.next=4;break;case 10:e.next=15;break;case 12:e.prev=12,e.t0=e.catch(2),r.e(e.t0);case 15:return e.prev=15,r.f(),e.finish(15);case 18:case"end":return e.stop()}}),e,this,[[2,12,15,18]])})));return function(t,n){return e.apply(this,arguments)}}()},{key:"onTrainBegin",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t){var n,r,a;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 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t=Object(c.a)(n);function n(){return Object(i.a)(this,n),t.call(this)}return Object(o.a)(n,[{key:"onEpochBegin",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t){return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:this.seen=0,this.totals={};case 2:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"onBatchEnd",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t,n){var r,i,o,u=this;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:for(o in null==n&&(n={}),r=null==n.size?0:n.size,this.seen+=r,i=function(e){var t=n[e];if("number"===typeof t)u.totals.hasOwnProperty(e)||(u.totals[e]=0),u.totals[e]=u.totals[e]+t*r;else{var i;e in u.totals?i=u.totals[e]:u.totals[e]=0;var o=Object(a.Wd)((function(){return Object(a.Ub)(u.totals[e],Object(a.dd)(t,r))}));u.totals[e]=o,null!=i&&i.dispose()}},n)i(o);case 5:case"end":return e.stop()}}),e,this)})));return function(t,n){return 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e.stop()}}),e,this,[[9,21,24,27]])})));return function(t,n){return e.apply(this,arguments)}}()},{key:"getNamedWeights",value: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}},{key:"dispose",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"dispose",this).call(this);if(0===e.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var t=a.Zc().numTensors;this.optimizer_.dispose(),e.numDisposedVariables+=t-a.Zc().numTensors}return e}},{key:"getLossIdentifiers",value:function(){var e;if("string"===typeof this.loss)e=E(this.loss);else if(Array.isArray(this.loss)){var t,n=Object(d.a)(this.loss);try{for(n.s();!(t=n.n()).done;){if("string"!==typeof t.value)throw new Error("Serialization of non-string loss is not supported.")}}catch(c){n.e(c)}finally{n.f()}e=this.loss.map((function(e){return E(e)}))}else{var r=Object.keys(this.loss);e={};for(var a=this.loss,i=0,o=r;i<o.length;i++){var u=o[i];if("string"!==typeof a[u])throw new Error("Serialization of non-string loss is not supported.");e[u]=E(a[u])}}return e}},{key:"getMetricIdentifiers",value:function(){if("string"===typeof this.metrics||"function"===typeof this.metrics)return[E(dn(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map((function(e){return E(dn(e))}));var e={};for(var t in this.metrics)e[t]=E(dn(this.metrics[t]));return e}},{key:"getTrainingConfig",value:function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}}},{key:"loadTrainingConfig",value: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=Ut(wn(e.optimizer_config));if("string"===typeof e.loss)t=T(e.loss);else if(Array.isArray(e.loss))t=e.loss.map((function(e){return T(e)}));else if(null!=e.loss)for(var a in t={},e.loss)t[a]=T(e.loss[a]);if(Array.isArray(e.metrics))n=e.metrics.map((function(e){return T(e)}));else if(null!=e.metrics)for(var i in n={},e.metrics)n[i]=T(e.metrics[i]);this.compile({loss:t,metrics:n,optimizer:r})}},{key:"save",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t,n){var r,i,o,u,c,s,f,d,p;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if("string"!==typeof t){e.next=9;break}if(0!==(r=a.Mc.getSaveHandlers(t)).length){e.next=6;break}throw new k("Cannot find any save handlers for URL '".concat(t,"'"));case 6:if(!(r.length>1)){e.next=8;break}throw new k("Found more than one (".concat(r.length,") save handlers for ")+"URL '".concat(t,"'"));case 8:t=r[0];case 9:if(null!=t.save){e.next=11;break}throw new k("LayersModel.save() 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function(t,n){return e.apply(this,arguments)}}()},{key:"setUserDefinedMetadata",value:function(e){hn(e,this.name),this.userDefinedMetadata=e}},{key:"getUserDefinedMetadata",value:function(){return this.userDefinedMetadata}},{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)}}]),n}(function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),(r=t.call(this,{})).containerNodes=new Set,r.name=e.name,null==r.name){var a=r.getClassName().toLowerCase();r.name=ut(a)}if(r.supportsMasking=!1,r.trainable_=!0,Array.isArray(e.inputs)?r.input

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"+"Received inputs: ".concat(e.inputs,". ")+"Input ".concat(x," (0-based) originates ")+"from layer type ".concat(w.getClassName(),"."));r.inputNames.push(w.name),r.feedInputShapes.push(w.batchInputShape),r.feedInputNames.push(w.name)}var j,N=Object(d.a)(r.outputLayers);try{for(N.s();!(j=N.n()).done;){var I=j.value;r.outputNames.push(I.name)}}catch(Te){N.e(Te)}finally{N.f()}r.internalInputShapes=r.inputs.map((function(e){return e.shape})),r.internalOutputShapes=r.outputs.map((function(e){return e.shape}));var C,E={},T={},A={},R={},_={},D=[],L=function e(t,a,i,o,u,c){null!=o&&null!=u&&null!=c||(o=t.sourceLayer,u=t.nodeIndex,c=t.tensorIndex);var s=o.inboundNodes[u];if(-1!==i.indexOf(s))throw new O("The tensor ".concat(t.name,' at layer "').concat(o.name,'" ')+"is part of a cycle.");if(-1===a.indexOf(s)){r.containerNodes.add(n.nodeKey(o,u)),o.id in _||(_[o.id]=Object.keys(_).length),-1===i.indexOf(s)&&i.push(s);for(var l=s.inboundLayers.length,f=0;f<l;f++){e(s.inputTensors[f],a,i,s.inboundLayers[f],s.nodeIndices[f],s.tensorIndices[f])}for(a.push(s);i.indexOf(s)>=0;)i.splice(i.indexOf(s),1);D.push(s)}},z=[],P=[],B=Object(d.a)(r.outputs);try{for(B.s();!(C=B.n()).done;){L(C.value,z,P)}}catch(Te){B.e(Te)}finally{B.f()}var W,U=D.slice().reverse(),V=Object(d.a)(U);try{for(V.s();!(W=V.n()).done;){var G=W.value;T[G.id]=G,G.id in E||(E[G.id]=0);var H=E[G.id],q=null==A[G.outboundLayer.id]?0:A[G.outboundLayer.id];H=Math.max(H,q),A[G.outboundLayer.id]=H,R[G.outboundLayer.id]=G.outboundLayer,E[G.id]=H;for(var K=0;K<G.inboundLayers.length;K++){var X=G.inboundLayers[K],Y=G.nodeIndices[K],Q=X.inboundNodes[Y],J=null==E[Q.id]?0:E[Q.id];E[Q.id]=Math.max(H+1,J),T[Q.id]=Q}}}catch(Te){V.e(Te)}finally{V.f()}var Z={};for(var $ in E){var ee=E[$];ee in Z||(Z[ee]=[]),Z[ee].push(T[$])}var te={};for(var ne in A){var re=A[ne];re in te||(te[re]=[]),te[re].push(R[ne])}var ae=Object.keys(te).map((function(e){return parseInt(e,10)})).sort(F);r.layers=[];var ie,oe=Object(d.a)(ae);try{for(oe.s();!(ie=oe.n()).done;){var ue=te[ie.value];ue.sort((function(e,t){var n=_[e.id],r=_[t.id];return n<r?-1:n>r?1:0}));var ce,se=Object(d.a)(ue);try{for(se.s();!(ce=se.n()).done;){var le=ce.value;le instanceof n&&r.internalContainerRefs.push(le),r.layers.push(le)}}catch(Te){se.e(Te)}finally{se.f()}}}catch(Te){oe.e(Te)}finally{oe.f()}r.layersByDepth=te,ae=Object.keys(Z).map((function(e){return parseInt(e,10)})).sort(F);var fe,de=r.inputs.slice(),pe=[],he=Object(d.a)(ae);try{for(he.s();!(fe=he.n()).done;){var ve,be=fe.value,me=Object(d.a)(Z[be]);try{for(me.s();!(ve=me.n()).done;){var ge=ve.value,ye=ge.outboundLayer;if(null!=ye){var Oe,ke=Object(d.a)(ge.inputTensors);try{for(ke.s();!(Oe=ke.n()).done;){var xe=Oe.value;if(-1===de.indexOf(xe))throw new O("Graph disconnected: cannot obtain value for tensor ".concat(xe)+' at layer "'.concat(ye.name,'". 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".concat(e,": ")+"model has ".concat(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(F);if(o.length>1){var u,c=Object(d.a)(o);try{for(c.s();!(u=c.n()).done;){var s,l=u.value,f=this.nodesByDepth[l],p=Object(d.a)(f);try{for(p.s();!(s=p.n()).done;){var h=s.value,v=h.outboundLayer;if(-1===this.inputLayers.map((function(e){return e.id})).indexOf(v.id)){for(var b=[],m=0;m<h.inboundLayers.length;m++){var g=h.inboundLayers[m],y=h.nodeIndices[m],O=h.tensorIndices[m],x=n["".concat(g.name,"_").concat(y,"_").concat(O)];b.push(x)}for(var w=st(v.computeOutputShape(I(b))),j=v.inboundNodes.indexOf(h),N=0;N<w.length;N++){n["".concat(v.name,"_").concat(j,"_").concat(N)]=w[N]}}}}catch(z){p.e(z)}finally{p.f()}}}catch(z){c.e(z)}finally{c.f()}}for(var C=[],E=[],T=0;T<this.outputLayers.length;T++){var A=this.outputLayers[T],R=this.outputLayersNodeIndices[T],_=this.outputLayersTensorIndices[T],D="".concat(A.name,"_").concat(R,"_").concat(_);E.push(D)}for(var M=0;M<E.length;M++){var L=E[M];S(L in n),C.push(n[L])}return I(C)}},{key:"runInternalGraph",value:function(e,t){null==t&&(t=j(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]}var u,c=Object.keys(this.nodesByDepth).map((function(e){return parseInt(e,10)})).sort(F),s=Object(d.a)(c);try{for(s.s();!(u=s.n()).done;){var l,p=u.value,h=this.nodesByDepth[p],v=Object(d.a)(h);try{for(v.s();!(l=v.n()).done;){var b,m=l.value,g=m.outboundLayer,y=m.inputTensors,O=m.outputTensors,k=new Array,w=Object(d.a)(y);try{for(w.s();!(b=w.n()).done;){var N=b.value;N.id in n&&k.push(n[N.id])}}catch(Q){w.e(Q)}finally{w.f()}if(k.length===y.length){var I={},E=void 0,T=void 0,A=void 0,R=void 0;if(null!=m.callArgs&&(I=m.callArgs),1===k.length){var _=Object(f.a)(k[0],2),D=_[0],M=_[1];null==I.mask&&(I.mask=M),A=C(g.call(D,I)),R=C(g.computeMask(D,M)),E=[D],T=[M]}else E=k.map((function(e){return e[0]})),T=k.map((function(e){return e[1]})),null==I.mask&&(I.mask=T),A=C(g.call(E,I)),R=C(g.computeMask(E,T));if(g.activityRegularizer)throw new x("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(var L=0;L<O.length;++L){var z=O[L],P=A[L],B=R[L];n[z.id]=[P,B]}}}}catch(Q){v.e(Q)}finally{v.f()}}}catch(Q){s.e(Q)}finally{s.f()}var W,U=[],V=[],G=[],H=Object(d.a)(this.outputs);try{for(H.s();!(W=H.n()).done;){var q=W.value;S(q.id in n,"Could not compute output ".concat(q.name," : ").concat(q.id));var K=Object(f.a)(n[q.id],2),X=K[0],Y=K[1];G.push(X.shape),U.push(X),V.push(Y)}}catch(Q){H.e(Q)}finally{H.f()}return[U,V,G]}},{key:"buildNodeConversionMap",value:function(e){var t,r,a={},i=Object(d.a)(this.layers);try{for(i.s();!(r=i.n()).done;){var o=r.value;t=o instanceof 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2))}}]),n}(gr);function Rr(e){return e.getClassName()}function _r(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return D(e,a.yd.SerializationMap.getMap().classNameMap,t,"activation")}function Dr(e){if(null==e){var t={className:"linear",config:{}};return _r(t)}if("string"===typeof e){var n={};return n.className=e,n.config={},_r(n)}return e instanceof gr?e:_r(e)}function Fr(e){if(null!=e&&"object"!==typeof e)throw new Error("Argument to L1L2 regularizer's constructor is expected to be an "+"object, but received: ".concat(e))}Ar.className="swish",a.yd.registerClass(Ar);var Mr=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(){return Object(i.a)(this,n),t.apply(this,arguments)}return n}(a.yd.Serializable),Lr=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),r=t.call(this),Fr(e),r.l1=null==e||null==e.l1?.01:e.l1,r.l2=null==e||null==e.l2?.01:e.l2,r.hasL1=0!==r.l1,r.hasL2=0!==r.l2,r}return Object(o.a)(n,[{key:"apply",value:function(e){var t=this;return Object(a.Wd)((function(){var n=Object(a.ie)([1]);return t.hasL1&&(n=Object(a.Ub)(n,Object(a.Od)(a.dd(t.l1,Object(a.Tb)(e))))),t.hasL2&&(n=Object(a.Ub)(n,Object(a.Od)(a.dd(t.l2,Te(e))))),n.asScalar()}))}},{key:"getConfig",value:function(){return{l1:this.l1,l2:this.l2}}}],[{key:"fromConfig",value:function(e,t){return new e({l1:t.l1,l2:t.l2})}}]),n}(Mr);Lr.className="L1L2",a.yd.registerClass(Lr);var zr={l1l2:"L1L2"};function Pr(e){return R(e)}function Br(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{};return D(e,a.yd.SerializationMap.getMap().classNameMap,t,"regularizer")}function Wr(e){return null==e?null:"string"===typeof e?Br({className:e in zr?zr[e]:e,config:{}}):e instanceof Mr?e:Br(e)}var Ur=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,null!=e&&(r.maxValue=e.maxValue),r}return Object(o.a)(n,[{key:"call",value:function(e,t){e=lt(e);var n=Object(a.sd)(e);return null!=this.maxValue&&(n=Object(a.ic)(n,0,this.maxValue)),n}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={maxValue:this.maxValue},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);Ur.className="ReLU",a.yd.registerClass(Ur);var Vr=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=.3,null==e&&(e={}),r.alpha=null==e.alpha?r.DEFAULT_ALPHA:e.alpha,r}return Object(o.a)(n,[{key:"call",value:function(e,t){var n=lt(e);return Object(a.Pc)(n,this.alpha)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);Vr.className="LeakyReLU",a.yd.registerClass(Vr);var Gr=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA_INITIALIZER="zeros",null==e&&(e={}),r.supportsMasking=!0,r.alphaInitializer=rt(e.alphaInitializer||r.DEFAULT_ALPHA_INITIALIZER),r.alphaRegularizer=Wr(e.alphaRegularizer),r.alphaConstraint=Z(e.alphaConstraint),null==e.sharedAxes)r.sharedAxes=null;else if(Array.isArray(e.sharedAxes))r.sharedAxes=e.sharedAxes;else{if("number"!==typeof e.sharedAxes)throw new k("Expected sharedAxes to be a number or an array of numbers, "+"but got ".concat(e.sharedAxes));r.sharedAxes=[e.sharedAxes]}return r}return Object(o.a)(n,[{key:"build",value:function(e){var t=(e=ft(e)).slice(1);if(null!=this.sharedAxes){var n,r=Object(d.a)(this.sharedAxes);try{for(r.s();!(n=r.n()).done;){t[n.value-1]=1}}catch(o){r.e(o)}finally{r.f()}}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 mt({ndim:e.length,axes:a})],this.built=!0}},{key:"call",value:function(e,t){return e=lt(e),Object(a.md)(e,this.alpha.read())}},{key:"getConfig",value:function(){var e={alphaInitializer:nt(this.alphaInitializer),alphaRegularizer:Pr(this.alphaRegularizer),alphaConstraint:Q(this.alphaConstraint),sharedAxes:this.sharedAxes},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);Gr.className="PReLU",a.yd.registerClass(Gr);var Hr=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_ALPHA=1,null==e&&(e={}),null!=e.alpha&&e.alpha!==r.DEFAULT_ALPHA)throw new x("Non-default alpha value (".concat(e.alpha,") is not supported by the ")+"ELU layer yet.");return r.alpha=null==e.alpha?r.DEFAULT_ALPHA:e.alpha,r}return Object(o.a)(n,[{key:"call",value:function(e,t){var n=lt(e);return Object(a.yc)(n)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={alpha:this.alpha},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);Hr.className="ELU",a.yd.registerClass(Hr);var qr=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_THETA=1,null==e&&(e={}),r.theta=null==e.theta?r.DEFAULT_THETA:e.theta,r}return Object(o.a)(n,[{key:"call",value:function(e,t){var n=lt(e);return n.mul(ge(n.greater(this.theta),"float32"))}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={theta:this.theta},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);qr.className="ThresholdedReLU",a.yd.registerClass(qr);var Kr=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,null==e?{}:e)).DEFAULT_AXIS=1,null==e&&(e={}),r.softmax=(new Er).apply,r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r}return Object(o.a)(n,[{key:"call",value:function(e,t){var n=lt(e);return this.softmax(n,this.axis)}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e={axis:this.axis},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);function Xr(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function Yr(e,t,n){if("number"===typeof e)return j(e,t);if(e.length!==t)throw new k("The ".concat(n," argument must be an integer or tuple of ").concat(t," integers.")+" Received: ".concat(e.length," elements."));for(var r=0;r<t;++r){var a=e[r];if((i=a)!==parseInt(i.toString(),10))throw new k("The ".concat(n," argument must be an integer or tuple of ").concat(t)+" integers. Received: ".concat(JSON.stringify(e)," including a")+" non-integer number ".concat(a))}return e;var i}function Qr(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:1;if(null==e)return e;var i,o=t+(t-1)*(a-1);return i="same"===n?e:e-o+1,Math.floor((i+r-1)/r)}function Jr(e,t,n,r){if(null==e)return null;if("valid"===r)e=e*t+be([n-t,0]);else{if("same"!==r)throw new k("Unsupport padding mode: ".concat(r,"."));e*=t}return e}function Zr(e,t){return Object(a.Wd)((function(){return ae(t),"channelsFirst"===t?a.Zd(e,[0,2,3,1]):e}))}function $r(e,t){return Object(a.Wd)((function(){return ae(t),"channelsFirst"===t?a.Zd(e,[0,2,3,4,1]):e}))}function ea(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:1,i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",o=arguments.length>5?arguments[5]:void 0,u=arguments.length>6&&void 0!==arguments[6]?arguments[6]:1;return Object(a.Wd)((function(){if(null==o&&(o="channelsLast"),ae(o),3!==e.shape.length)throw new k("The input of a conv1dWithBias operation should be 3, but is "+"".concat(e.shape.length," instead."));if(3!==t.shape.length)throw new k("The kernel for a conv1dWithBias operation should be 3, but is "+"".concat(t.shape.length," instead"));if(null!=n&&1!==n.shape.length)throw new k("The bias for a conv1dWithBias operation should be 1, but is "+"".concat(t.shape.length," instead"));

2if("channelsFirst"===o&&(e=a.Zd(e,[0,2,1])),"causal"===i)throw new x("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var c=a.pc(e,t,r,"same"===i?"same":"valid","NWC",u);return null!=n&&(c=Re(c,n)),c}))}function ta(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",o=arguments.length>5?arguments[5]:void 0,u=arguments.length>6?arguments[6]:void 0,c=arguments.length>7&&void 0!==arguments[7]?arguments[7]:null;return Object(a.Wd)((function(){if(null==o&&(o="channelsLast"),ae(o),3!==e.rank&&4!==e.rank)throw new k("conv2dWithBiasActivation expects input to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));if(3!==t.rank&&4!==t.rank)throw new k("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, "+"but received ".concat(e.rank,"."));var s=Zr(e,o);if("causal"===i)throw new x("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return s=a.Hc.conv2d({x:s,filter:t,strides:r,pad:"same"===i?"same":"valid",dilations:u,dataFormat:"NHWC",bias:n,activation:c}),"channelsFirst"===o&&(s=a.Zd(s,[0,3,1,2])),s}))}function na(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:[1,1,1],i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:"valid",o=arguments.length>5?arguments[5]:void 0,u=arguments.length>6?arguments[6]:void 0;return Object(a.Wd)((function(){if(null==o&&(o="channelsLast"),ae(o),4!==e.rank&&5!==e.rank)throw new k("conv3dWithBias expects input to be of rank 4 or 5, but received "+"".concat(e.rank,"."));if(4!==t.rank&&5!==t.rank)throw new k("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+"".concat(e.rank,"."));var c=$r(e,o);if("causal"===i)throw new x("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return c=a.sc(c,t,r,"same"===i?"same":"valid","NDHWC",u),null!=n&&(c=Re(c,n)),"channelsFirst"===o&&(c=a.Zd(c,[0,4,1,2,3])),c}))}Kr.className="Softmax",a.yd.registerClass(Kr);var ra=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e,r){var a;if(Object(i.a)(this,n),(a=t.call(this,r)).bias=null,a.DEFAULT_KERNEL_INITIALIZER="glorotNormal",a.DEFAULT_BIAS_INITIALIZER="zeros",n.verifyArgs(r),a.rank=e,B(a.rank,"rank"),1!==a.rank&&2!==a.rank&&3!==a.rank)throw new x("Convolution layer for rank other than 1, 2, or 3 (".concat(a.rank,") is ")+"not implemented yet.");if(a.kernelSize=Yr(r.kernelSize,e,"kernelSize"),a.strides=Yr(null==r.strides?1:r.strides,e,"strides"),a.padding=null==r.padding?"valid":r.padding,ie(a.padding),a.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,ae(a.dataFormat),a.activation=Dr(r.activation),a.useBias=null==r.useBias||r.useBias,a.biasInitializer=rt(r.biasInitializer||a.DEFAULT_BIAS_INITIALIZER),a.biasConstraint=Z(r.biasConstraint),a.biasRegularizer=Wr(r.biasRegularizer),a.activityRegularizer=Wr(r.activityRegularizer),a.dilationRate=Yr(null==r.dilationRate?1:r.dilationRate,e,"dilationRate"),1===a.rank&&Array.isArray(a.dilationRate)&&1!==a.dilationRate.length)throw new k("dilationRate must be a number or an array of a single number for 1D convolution, but received "+"".concat(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 k("dilationRate must be a number or array of two numbers for 2D "+"convolution, but received ".concat(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 k("dilationRate must be a number or array of three numbers for 3D "+"convolution, but received ".concat(JSON.stringify(a.dilationRate)));return a}return Object(o.a)(n,[{key:"getConfig",value:function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:Rr(this.activation),useBias:this.useBias,biasInitializer:nt(this.biasInitializer),biasRegularizer:Pr(this.biasRegularizer),activityRegularizer:Pr(this.activityRegularizer),biasConstraint:Q(this.biasConstraint)},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(S("kernelSize"in e,"required key 'kernelSize' not in config"),"number"!==typeof e.kernelSize&&!P(e.kernelSize,"number",1,3))throw new k("BaseConv expects config.kernelSize to be number or number[] with "+"length 1, 2, or 3, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(xt),aa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e,r){var a;return Object(i.a)(this,n),(a=t.call(this,e,r)).kernel=null,n.verifyArgs(r),a.filters=r.filters,B(a.filters,"filters"),a.kernelInitializer=rt(r.kernelInitializer||a.DEFAULT_KERNEL_INITIALIZER),a.kernelConstraint=Z(r.kernelConstraint),a.kernelRegularizer=Wr(r.kernelRegularizer),a}return Object(o.a)(n,[{key:"build",value:function(e){e=ft(e);var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new k("The channel dimension of the input should be defined. "+"Found ".concat(e[t]));var n=e[t],r=this.kernelSize.concat([n,this.filters]);this.kernel=this.addWeight("kernel",r,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:Xr({},t,n)}],this.built=!0}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){var t;e=lt(e);var r=null==n.bias?null:n.bias.read(),a=U(n.activation.getClassName());if(null!=a&&2===n.rank)t=ta(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate,a);else{if(1===n.rank)t=ea(e,n.kernel.read(),r,n.strides[0],n.padding,n.dataFormat,n.dilationRate[0]);else if(2===n.rank)t=ta(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate);else{if(3!==n.rank)throw new x("convolutions greater than 3D are not implemented yet.");t=na(e,n.kernel.read(),r,n.strides,n.padding,n.dataFormat,n.dilationRate)}null!=n.activation&&(t=n.activation.apply(t))}return t}))}},{key:"computeOutputShape",value:function(e){e=ft(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=Qr(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}},{key:"getConfig",value:function(){var e={filters:this.filters,kernelInitializer:nt(this.kernelInitializer),kernelRegularizer:Pr(this.kernelRegularizer),kernelConstraint:Q(this.kernelConstraint)},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}],[{key:"verifyArgs",value:function(e){if(!("filters"in e)||"number"!==typeof e.filters||e.filters<1)throw new k("Convolution layer expected config.filters to be a 'number' > 0 "+"but got ".concat(JSON.stringify(e.filters)))}}]),n}(ra),ia=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),r=t.call(this,2,e),n.verifyArgs(e),r}return Object(o.a)(n,[{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!==typeof e.kernelSize&&!P(e.kernelSize,"number",1,2))throw new k("Conv2D expects config.kernelSize to be number or number[] with "+"length 1 or 2, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(aa);ia.className="Conv2D",a.yd.registerClass(ia);var oa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),r=t.call(this,3,e),n.verifyArgs(e),r}return Object(o.a)(n,[{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return delete e.rank,e}}],[{key:"verifyArgs",value:function(e){if("number"!==typeof e.kernelSize&&(!Array.isArray(e.kernelSize)||1!==e.kernelSize.length&&3!==e.kernelSize.length))throw new k("Conv3D expects config.kernelSize to be number or"+" [number, number, number], but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(aa);oa.className="Conv3D",a.yd.registerClass(oa);var ua=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),(r=t.call(this,e)).inputSpec=[new mt({ndim:4})],"same"!==r.padding&&"valid"!==r.padding)throw new k("Conv2DTranspose currently supports only padding modes '

2same' "+"and 'valid', but received padding mode ".concat(r.padding));return r}return Object(o.a)(n,[{key:"build",value:function(e){if(4!==(e=ft(e)).length)throw new k("Input should have rank 4; Received input shape: "+JSON.stringify(e));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t])throw new k("The channel dimension of the inputs should be defined. Found `None`.");var n=e[t],r=this.kernelSize.concat([this.filters,n]);this.kernel=this.addWeight("kernel",r,"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 mt({ndim:4,axes:Xr({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return a.Wd((function(){var t=lt(e);if(4!==t.shape.length)throw new k("Conv2DTranspose.call() expects input tensor to be rank-4, but "+"received a tensor of rank-".concat(t.shape.length));var r,i,o=t.shape,u=o[0];"channelsFirst"===n.dataFormat?(r=2,i=3):(r=1,i=2);var c=o[r],s=o[i],l=n.kernelSize[0],f=n.kernelSize[1],d=n.strides[0],p=n.strides[1],h=[u,Jr(c,d,l,n.padding),Jr(s,p,f,n.padding),n.filters];"channelsLast"!==n.dataFormat&&(t=a.Zd(t,[0,2,3,1]));var v=a.rc(t,n.kernel.read(),h,n.strides,n.padding);return"channelsLast"!==n.dataFormat&&(v=a.Zd(v,[0,3,1,2])),null!=n.bias&&(v=Re(v,n.bias.read(),n.dataFormat)),null!=n.activation&&(v=n.activation.apply(v)),v}))}},{key:"computeOutputShape",value:function(e){var t,n,r,a=(e=ft(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],u=this.strides[0],c=this.strides[1];return a[t]=this.filters,a[n]=Jr(a[n],u,i,this.padding),a[r]=Jr(a[r],c,o,this.padding),a}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return delete e.dilationRate,e}}]),n}(ia);ua.className="Conv2DTranspose",a.yd.registerClass(ua);var ca=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e,r){var a;if(Object(i.a)(this,n),(a=t.call(this,e,r)).DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",a.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",a.depthwiseKernel=null,a.pointwiseKernel=null,null==r.filters)throw new k("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=r.kernelInitializer||null!=r.kernelRegularizer||null!=r.kernelConstraint)throw new k("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=r.padding&&"same"!==r.padding&&"valid"!==r.padding)throw new k("SeparableConv".concat(a.rank,"D supports only padding modes: ")+"'same' and 'valid', but received ".concat(JSON.stringify(r.padding)));return a.depthMultiplier=null==r.depthMultiplier?1:r.depthMultiplier,a.depthwiseInitializer=rt(r.depthwiseInitializer||a.DEFAULT_DEPTHWISE_INITIALIZER),a.depthwiseRegularizer=Wr(r.depthwiseRegularizer),a.depthwiseConstraint=Z(r.depthwiseConstraint),a.pointwiseInitializer=rt(r.depthwiseInitializer||a.DEFAULT_POINTWISE_INITIALIZER),a.pointwiseRegularizer=Wr(r.pointwiseRegularizer),a.pointwiseConstraint=Z(r.pointwiseConstraint),a}return Object(o.a)(n,[{key:"build",value:function(e){if((e=ft(e)).length<this.rank+2)throw new k("Inputs to SeparableConv".concat(this.rank,"D should have rank ")+"".concat(this.rank+2,", but received input shape: ")+"".concat(JSON.stringify(e)));var t="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[t]||e[t]<0)throw new k("The channel dimension of the inputs should be defined, "+"but found ".concat(JSON.stringify(e[t])));for(var n=e[t],r=this.kernelSize.concat([n,this.depthMultiplier]),a=[],i=0;i<this.rank;++i)a.push(1);a.push(n*this.depthMultiplier,this.filters);var o=!0;this.depthwiseKernel=this.addWeight("depthwise_kernel",r,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,o,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",a,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,o,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,o,this.biasConstraint):this.bias=null,this.inputSpec=[new mt({ndim:this.rank+2,axes:Xr({},t,n)})],this.built=!0}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){var t;if(e=lt(e),1===n.rank)throw new x("1D separable convolution is not implemented yet.");return 2===n.rank&&("channelsFirst"===n.dataFormat&&(e=a.Zd(e,[0,2,3,1])),t=a.xd(e,n.depthwiseKernel.read(),n.pointwiseKernel.read(),n.strides,n.padding,n.dilationRate,"NHWC")),n.useBias&&(t=Re(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),"channelsFirst"===n.dataFormat&&(t=a.Zd(t,[0,3,1,2])),t}))}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.kernelInitializer,delete e.kernelRegularizer,delete e.kernelConstraint,e.depthwiseInitializer=nt(this.depthwiseInitializer),e.pointwiseInitializer=nt(this.pointwiseInitializer),e.depthwiseRegularizer=Pr(this.depthwiseRegularizer),e.pointwiseRegularizer=Pr(this.pointwiseRegularizer),e.depthwiseConstraint=Q(this.depthwiseConstraint),e.pointwiseConstraint=Q(this.pointwiseConstraint),e}}]),n}(aa);ca.className="SeparableConv";var sa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,2,e)}return n}(ca);

2sa.className="SeparableConv2D",a.yd.registerClass(sa);var la=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),r=t.call(this,1,e),n.verifyArgs(e),r.inputSpec=[{ndim:3}],r}return Object(o.a)(n,[{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return delete e.rank,delete e.dataFormat,e}}],[{key:"verifyArgs",value:function(e){if("number"!==typeof e.kernelSize&&!P(e.kernelSize,"number",1,1))throw new k("Conv1D expects config.kernelSize to be number or number[] with "+"length 1, but received ".concat(JSON.stringify(e.kernelSize),"."))}}]),n}(aa);la.className="Conv1D",a.yd.registerClass(la);var fa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),r=t.call(this,e),"number"===typeof e.cropping?r.cropping=[[e.cropping,e.cropping],[e.cropping,e.cropping]]:"number"===typeof e.cropping[0]?r.cropping=[[e.cropping[0],e.cropping[0]],[e.cropping[1],e.cropping[1]]]:r.cropping=e.cropping,r.dataFormat=void 0===e.dataFormat?"channelsLast":e.dataFormat,r.inputSpec=[{ndim:4}],r}return Object(o.a)(n,[{key:"computeOutputShape",value: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]]}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){if(e=lt(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)}))}},{key:"getConfig",value:function(){var e={cropping:this.cropping,dataFormat:this.dataFormat},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);fa.className="Cropping2D",a.yd.registerClass(fa);var da=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).DEFAULT_SIZE=[2,2],r.inputSpec=[{ndim:4}],r.size=null==e.size?r.DEFAULT_SIZE:e.size,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,r}return Object(o.a)(n,[{key:"computeOutputShape",value: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]}var 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]]}},{key:"call",value:function(e,t){var n=this;return a.Wd((function(){var t=lt(e),r=t.shape;if("channelsFirst"===n.dataFormat){t=a.Zd(t,[0,2,3,1]);var i=n.size[0]*r[2],o=n.size[1]*r[3],u=t.resizeNearestNeighbor([i,o]);return a.Zd(u,[0,3,1,2])}var c=n.size[0]*r[1],s=n.size[1]*r[2];return t.resizeNearestNeighbor([c,s])}))}},{key:"getConfig",value:function(){var e={size:this.size,dataFormat:this.dataFormat},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);da.className="UpSampling2D",a.yd.registerClass(da);var pa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,2,e)).depthwiseKernel=null,r.depthMultiplier=null==e.depthMultiplier?1:e.depthMultiplier,r.depthwiseInitializer=rt(e.depthwiseInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.depthwiseConstraint=Z(e.depthwiseConstraint),r.depthwiseRegularizer=Wr(e.depthwiseRegularizer),r}return Object(o.a)(n,[{key:"build",value:function(e){if((e=ft(e)).length<4)throw new k("Inputs to DepthwiseConv2D should have rank 4. "+"Received input shape: ".concat(JSON.stringify(e),"."));var t="channelsFirst"===this.dataFormat?1:3;if(null==e[t]||e[t]<0)throw new k("The channel dimension of the inputs to DepthwiseConv2D should "+"be defined, but is not (".concat(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}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){var t=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:[1,1],r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:"valid",i=arguments.length>4?arguments[4]:void 0,o=arguments.length>5?arguments[5]:void 0;return Object(a.Wd)((function(){null==i&&(i="channelsLast"),ae(i);var u=Zr(e,i);if(4!==e.rank)throw new k("Input for depthwiseConv2d is required to be 4-D, but is instead "+"".concat(e.rank,"-D"));if(4!==t.rank)throw new k("depthwiseKernel is required to be 4-D, but is instead "+"".concat(t.rank,"-D"));return u=a.tc(u,t,n,"same"===r?"same":"valid","NHWC",o),"channelsFirst"===i&&(u=a.Zd(u,[0,3,1,2])),u}))}(e=lt(e),n.depthwiseKernel.read(),n.strides,n.padding,n.dataFormat,null);return n.useBias&&(t=Re(t,n.bias.read(),n.dataFormat)),null!=n.activation&&(t=n.activation.apply(t)),t}))}},{key:"computeOutputShape",value:function(e){e=ft(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=Qr(t,this.kernelSize[0],this.padding,this.strides[0]),i=Qr(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[e[0],r,a,i]:[e[0],a,i,r]}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return e.depthMultiplier=this.depthMultiplier,e.depthwiseInitializer=nt(this.depthwiseInitializer),e.depthwiseRegularizer=Pr(this.depthwiseRegularizer),e.depthwiseConstraint=Q(this.depthwiseRegularizer),e}}]),n}(ra);function ha(e,t,n,r){if(Array.isArray(e)){if(null!=t||null!=n)throw new k("When input

2s 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 va(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]&&arguments[3],i=arguments.length>4?arguments[4]:void 0,o=arguments.length>5?arguments[5]:void 0,u=arguments.length>6&&void 0!==arguments[6]&&arguments[6],c=arguments.length>7&&void 0!==arguments[7]&&arguments[7];return a.Wd((function(){var s=t.shape.length;if(s<3)throw new k("Input should be at least 3D, but is ".concat(s,"D."));var l=[1,0].concat(me(2,s));if(t=a.Zd(t,l),null!=o)throw new x("The rnn() functoin of the deeplearn.js backend does not support constants yet.");u&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=i&&((i=i.asType("bool").asType("float32")).rank===s-1&&(i=a.Dc(i,-1)),i=a.Zd(i,l)),r&&(t=a.ud(t,0),null!=i&&(i=a.ud(i,0)));var f,d,p=[],h=n,v=t.shape[0],b=a.be(t);null!=i&&(d=a.be(i));for(var m,g=function(t){var n=b[t],r=a.Wd((function(){return e(n,h)}));if(null==i)f=r[0],h=r[1];else{var o=a.Wd((function(){var e=d[t],n=a.jd(e).sub(e);return{output:r[0].mul(e).add(h[0].mul(n)),newStates:h.map((function(t,a){return r[1][a].mul(e).add(t.mul(n))}))}}));f=o.output,h=o.newStates}c&&p.push(f)},y=0;y<v;++y)g(y);if(c){m=a.Md(p,1)}return[f,m,h]}))}pa.className="DepthwiseConv2D",a.yd.registerClass(pa);var ba=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r,a;if(Object(i.a)(this,n),r=t.call(this,e),null==e.cell)throw new k("cell property is missing for the constructor of RNN.");if(null==(a=Array.isArray(e.cell)?new ja({cells:e.cell}):e.cell).stateSize)throw new k("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=a,r.returnSequences=null!=e.returnSequences&&e.returnSequences,r.returnState=null!=e.returnState&&e.returnState,r.goBackwards=null!=e.goBackwards&&e.goBackwards,r._stateful=null!=e.stateful&&e.stateful,r.unroll=null!=e.unroll&&e.unroll,r.supportsMasking=!0,r.inputSpec=[new mt({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return Object(o.a)(n,[{key:"getStates",value:function(){return null==this.states_?me(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map((function(e){return null})):this.states_}},{key:"setStates",value:function(e){this.states_=e}},{key:"computeOutputShape",value:function(e){ct(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){var a,i=[],o=Object(d.a)(t);try{for(o.s();!(a=o.n()).done;){var u=a.value;i.push([e[0],u])}}catch(c){o.e(c)}finally{o.f()}return[n].concat(i)}return n}},{key:"computeMask",value:function(e,t){var n=this;return a.Wd((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}))}},{key:"build",value:function(e){if(null!=this.numConstants)throw new x("Constants support is not implemented in RNN yet.");ct(e)&&(e=e[0]),e=e;var t=this.stateful?e[0]:null,n=e.slice(2);this.inputSpec[0]=new mt({shape:[t,null].concat(Object(l.a)(n))});var r,i=[e[0]].concat(e.slice(2));if(this.cell.build(i),r=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!a.de.arraysEqual(this.stateSpec.map((function(e){return e.shape[e.shape.length-1]})),r))throw new k("An initialState was passed that is not compatible with "+"cell.stateSize. Received stateSpec=".concat(this.stateSpec,"; ")+"However cell.stateSize is ".concat(this.cell.stateSize))}else this.stateSpec=r.map((function(e){return new mt({shape:[null,e]})}));this.stateful&&this.resetStates()}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];Object(a.Wd)((function(){if(!t.stateful)throw new y("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape[0];if(null==r)throw new k("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==t.states_)Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return a.ie([r,e])})):t.states_=[a.ie([r,t.cell.stateSize])];else if(null==e)a.vc(t.states_),null!=t.keptStates&&(a.vc(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(e){return a.ie([r,e])})):t.states_[0]=a.ie([r,t.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new k("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));!0===n?t.keptStates.push(t.states_.slice()):a.vc(t.states_);for(var i=0;i<t.states_.length;++i){var o=e[i],u=Array.isArray(t.cell.stateSize)?t.cell.stateSize[i]:t.cell.stateSize,c=[r,u];

2if(!a.de.arraysEqual(o.shape,c))throw new k("State ".concat(i," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(c,", received shape=").concat(o.shape));t.states_[i]=o}}t.states_=t.states_.map((function(e){return a.Nc(e.clone())}))}))}},{key:"apply",value:function(e,t){var r=null==t?null:t.initialState,a=null==t?null:t.constants;null==t&&(t={});var i=ha(e,r,a,this.numConstants);e=i.inputs,r=i.initialState,a=i.constants;var o=[],u=[];if(null!=r){t.initialState=r,o=o.concat(r),this.stateSpec=[];var c,s=Object(d.a)(r);try{for(s.s();!(c=s.n()).done;){var l=c.value;this.stateSpec.push(new mt({shape:l.shape}))}}catch(m){s.e(m)}finally{s.f()}u=u.concat(this.stateSpec)}if(null!=a&&(t.constants=a,o=o.concat(a),this.numConstants=a.length),o[0]instanceof gt){var f=[e].concat(o),p=this.inputSpec.concat(u),v=this.inputSpec;this.inputSpec=p;var b=Object(Wt.a)(Object(h.a)(n.prototype),"apply",this).call(this,f,t);return this.inputSpec=v,b}return Object(Wt.a)(Object(h.a)(n.prototype),"apply",this).call(this,e,t)}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){var r=null==t?null:t.mask,a=null==t?null:t.training,i=null==t?null:t.initialState;e=lt(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 k("RNN Layer has ".concat(o," state(s) but was passed ")+"".concat(i.length," initial state(s)."));n.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var u={training:a},c=va((function(e,t){var r=n.cell.call([e].concat(t),u);return[r[0],r.slice(1)]}),e,i,n.goBackwards,r,null,n.unroll,n.returnSequences),s=c[0],l=c[1],f=c[2];n.stateful&&n.resetStates(f,a);var d=n.returnSequences?l:s;return n.returnState?[d].concat(f):d}))}},{key:"getInitialState",value:function(e){var t=this;return Object(a.Wd)((function(){var n=a.ie(e.shape);return n=ye(n=a.Od(n,[1,2])),Array.isArray(t.cell.stateSize)?t.cell.stateSize.map((function(e){return e>1?Ne(n,[1,e]):n})):t.cell.stateSize>1?[Ne(n,[1,t.cell.stateSize])]:[n]}))}},{key:"setFastWeightInitDuringBuild",value:function(e){Object(Wt.a)(Object(h.a)(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(e)}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var r=this.cell.getConfig();return this.getClassName()===n.className&&(t.cell={className:this.cell.getClassName(),config:r}),Object.assign({},r,e,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}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.cell,a=Ut(r,n);return new e(Object.assign(t,{cell:a}))}}]),n}(xt);ba.className="RNN",a.yd.registerClass(ba);var ma=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(){return Object(i.a)(this,n),t.apply(this,arguments)}return n}(xt),ga=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,B(r.units,"units"),r.activation=Dr(null==e.activation?r.DEFAULT_ACTIVATION:e.activation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=rt(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=rt(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=rt(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Wr(e.kernelRegularizer),r.recurrentRegularizer=Wr(e.recurrentRegularizer),r.biasRegularizer=Wr(e.biasRegularizer),r.kernelConstraint=Z(e.kernelConstraint),r.recurrentConstraint=Z(e.recurrentConstraint),r.biasConstraint=Z(e.biasConstraint),r.dropout=ve([1,be([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=ve([1,be([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return Object(o.a)(n,[{key:"build",value:function(e){e=ft(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}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){if(2!==(e=e).length)throw new k("SimpleRNNCell expects 2 input Tensors, got ".concat(e.length,"."));var r=e[1];e=e[0];var i,o=null!=t.training&&t.training;0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Sa({ones:function(){return a.jd(e)},rate:n.dropout,training:o})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Sa({ones:function(){return a.jd(r)},rate:n.recurrentDropout,training:o}));var u=n.dropoutMask,c=n.recurrentDropoutMask;i=Ce(null!=u?a.dd(e,u):e,n.kernel.read()),null!=n.bias&&(i=Re(i,n.bias.read())),null!=c&&(r=a.dd(r,c));var s=a.Ub(i,Ce(r,n.recurrentKernel.read()));return null!=n.activation&&(s=n.activation.apply(s)),[s,s]}))}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Rr(this.activation),useBias:this.useBias,kernelInitializer:nt(this.kernelInitializer),recurrentInitializer:nt(this.recurrentInitializer),biasInitializer:nt(this.biasInitializer),kernelRegularizer:Pr(this.kernelRegularizer),recurrentRegularizer:Pr(this.recurrentRegularizer),biasRegularizer:Pr(this.biasRegularizer),activityRegularizer:Pr(this.activityRegularizer),kernelConstraint:Q(this.kernelConstraint),recurrentConstraint:Q(this.recurrentConstraint),biasConstraint:Q(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout};return Object.assign({},e,t)}}]),n}(ma);ga.className="SimpleRNNCell",a.yd.registerClass(ga);var ya=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),e.cell=new ga(e),t.call(this,e)}return Object(o.a)(n,[{key:"call",value:function(e,t){var r=this;return Object(a.Wd)((function(){null!=r.cell.dropoutMask&&(a.vc(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(a.vc(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==t?null:t.mask,o=null==t?null:t.training,u=null==t?null:t.initialState;

2return Object(Wt.a)(Object(h.a)(n.prototype),"call",r).call(r,e,{mask:i,training:o,initialState:u})}))}}],[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(ba);ya.className="SimpleRNN",a.yd.registerClass(ya);var Oa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",e.resetAfter)throw new k("GRUCell does not support reset_after parameter set to true.");return r.units=e.units,B(r.units,"units"),r.activation=Dr(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Dr(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=rt(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=rt(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=rt(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelRegularizer=Wr(e.kernelRegularizer),r.recurrentRegularizer=Wr(e.recurrentRegularizer),r.biasRegularizer=Wr(e.biasRegularizer),r.kernelConstraint=Z(e.kernelConstraint),r.recurrentConstraint=Z(e.recurrentConstraint),r.biasConstraint=Z(e.biasConstraint),r.dropout=ve([1,be([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=ve([1,be([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.implementation=e.implementation,r.stateSize=r.units,r.dropoutMask=null,r.recurrentDropoutMask=null,r}return Object(o.a)(n,[{key:"build",value:function(e){var t=(e=ft(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}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){if(2!==(e=e).length)throw new k("GRUCell expects 2 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=null!=t.training&&t.training,i=e[1];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Sa({ones:function(){return a.jd(e)},rate:n.dropout,training:r,count:3})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Sa({ones:function(){return a.jd(i)},rate:n.recurrentDropout,training:r,count:3}));var o,u,c,s=n.dropoutMask,l=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=a.dd(e,s[0]));var d=Ce(e,n.kernel.read());n.useBias&&(d=Re(d,n.bias.read())),0<n.recurrentDropout&&n.recurrentDropout<1&&(i=a.dd(i,l[0]));var p=n.recurrentKernel.read(),h=a.Jd(p,[2*n.units,n.units],p.rank-1),v=Object(f.a)(h,2),b=v[0],m=v[1],g=Ce(i,b),y=a.Jd(d,3,d.rank-1),O=Object(f.a)(y,3),x=O[0],w=O[1],j=O[2],S=a.Jd(g,2,g.rank-1),N=Object(f.a)(S,2),I=N[0],C=N[1];o=n.recurrentActivation.apply(a.Ub(x,I)),u=n.recurrentActivation.apply(a.Ub(w,C));var E=Ce(a.dd(u,i),m);c=n.activation.apply(a.Ub(j,E));var T=a.Ub(a.dd(o,i),a.dd(a.Ub(1,a.ed(o)),c));return[T,T]}))}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Rr(this.activation),recurrentActivation:Rr(this.recurrentActivation),useBias:this.useBias,kernelInitializer:nt(this.kernelInitializer),recurrentInitializer:nt(this.recurrentInitializer),biasInitializer:nt(this.biasInitializer),kernelRegularizer:Pr(this.kernelRegularizer),recurrentRegularizer:Pr(this.recurrentRegularizer),biasRegularizer:Pr(this.biasRegularizer),activityRegularizer:Pr(this.activityRegularizer),kernelConstraint:Q(this.kernelConstraint),recurrentConstraint:Q(this.recurrentConstraint),biasConstraint:Q(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation,resetAfter:!1};return Object.assign({},e,t)}}]),n}(ma);Oa.className="GRUCell",a.yd.registerClass(Oa);var ka=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new Oa(e),t.call(this,e)}return Object(o.a)(n,[{key:"call",value:function(e,t){var r=this;return Object(a.Wd)((function(){null!=r.cell.dropoutMask&&(a.vc(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(a.vc(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==t?null:t.mask,o=null==t?null:t.training,u=null==t?null:t.initialState;

2return Object(Wt.a)(Object(h.a)(n.prototype),"call",r).call(r,e,{mask:i,training:o,initialState:u})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(ba);ka.className="GRU",a.yd.registerClass(ka);var xa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).DEFAULT_ACTIVATION="tanh",r.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_RECURRENT_INITIALIZER="orthogonal",r.DEFAULT_BIAS_INITIALIZER="zeros",r.units=e.units,B(r.units,"units"),r.activation=Dr(void 0===e.activation?r.DEFAULT_ACTIVATION:e.activation),r.recurrentActivation=Dr(void 0===e.recurrentActivation?r.DEFAULT_RECURRENT_ACTIVATION:e.recurrentActivation),r.useBias=null==e.useBias||e.useBias,r.kernelInitializer=rt(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.recurrentInitializer=rt(e.recurrentInitializer||r.DEFAULT_RECURRENT_INITIALIZER),r.biasInitializer=rt(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.unitForgetBias=e.unitForgetBias,r.kernelRegularizer=Wr(e.kernelRegularizer),r.recurrentRegularizer=Wr(e.recurrentRegularizer),r.biasRegularizer=Wr(e.biasRegularizer),r.kernelConstraint=Z(e.kernelConstraint),r.recurrentConstraint=Z(e.recurrentConstraint),r.biasConstraint=Z(e.biasConstraint),r.dropout=ve([1,be([0,null==e.dropout?0:e.dropout])]),r.recurrentDropout=ve([1,be([0,null==e.recurrentDropout?0:e.recurrentDropout])]),r.implementation=e.implementation,r.stateSize=[r.units,r.units],r.dropoutMask=null,r.recurrentDropoutMask=null,r}return Object(o.a)(n,[{key:"build",value:function(e){var t,n,r=(e=ft(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,s=this.units;n=new((t=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(){return Object(i.a)(this,n),t.apply(this,arguments)}return Object(o.a)(n,[{key:"apply",value:function(e,t){var n=a.apply([s]),r=(new Be).apply([s]),i=a.apply([2*s]);return Se(Se(n,r),i)}}]),n}(ze)).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}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){var r=null!=t.training&&t.training;if(3!==(e=e).length)throw new k("LSTMCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var i=e[1],o=e[2];e=e[0],0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Sa({ones:function(){return a.jd(e)},rate:n.dropout,training:r,count:4})),0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Sa({ones:function(){return a.jd(i)},rate:n.recurrentDropout,training:r,count:4}));var u,c,s,l,d=n.dropoutMask,p=n.recurrentDropoutMask;0<n.dropout&&n.dropout<1&&(e=a.dd(e,d[0]));var h=Ce(e,n.kernel.read());0<n.recurrentDropout&&n.recurrentDropout<1&&(i=a.dd(i,p[0])),h=a.Ub(h,Ce(i,n.recurrentKernel.read())),n.useBias&&(h=Re(h,n.bias.read()));var v=a.Jd(h,4,h.rank-1),b=Object(f.a)(v,4),m=b[0],g=b[1],y=b[2],O=b[3];u=n.recurrentActivation.apply(m),c=n.recurrentActivation.apply(g),s=a.Ub(a.dd(c,o),a.dd(u,n.activation.apply(y))),l=n.recurrentActivation.apply(O);var x=a.dd(l,n.activation.apply(s));return[x,x,s]}))}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t={units:this.units,activation:Rr(this.activation),recurrentActivation:Rr(this.recurrentActivation),useBias:this.useBias,kernelInitializer:nt(this.kernelInitializer),recurrentInitializer:nt(this.recurrentInitializer),biasInitializer:nt(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Pr(this.kernelRegularizer),recurrentRegularizer:Pr(this.recurrentRegularizer),biasRegularizer:Pr(this.biasRegularizer),activityRegularizer:Pr(this.activityRegularizer),kernelConstraint:Q(this.kernelConstraint),recurrentConstraint:Q(this.recurrentConstraint),biasConstraint:Q(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation};return Object.assign({},e,t)}}]),n}(ma);xa.className="LSTMCell",a.yd.registerClass(xa);var wa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),0===e.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),e.cell=new xa(e),t.call(this,e)}return Object(o.a)(n,[{key:"call",value:function(e,t){var r=this;return Object(a.Wd)((function(){null!=r.cell.dropoutMask&&(a.vc(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(a.vc(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null);var i=null==t?null:t.mask,o=null==t?null:t.training,u=null==t?null:t.initialState;

2return Object(Wt.a)(Object(h.a)(n.prototype),"call",r).call(r,e,{mask:i,training:o,initialState:u})}))}}],[{key:"fromConfig",value:function(e,t){return 0===t.implmentation&&(t.implementation=1),new e(t)}}]),n}(ba);wa.className="LSTM",a.yd.registerClass(wa);var ja=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).cells=e.cells,r}return Object(o.a)(n,[{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){var r,a=(e=e).slice(1),i=[],o=Object(d.a)(n.cells.slice().reverse());try{for(o.s();!(r=o.n()).done;){var u=r.value;Array.isArray(u.stateSize)?i.push(a.splice(0,u.stateSize.length)):i.push(a.splice(0,1))}}catch(g){o.e(g)}finally{o.f()}i.reverse();for(var c,s=[],f=0;f<n.cells.length;++f){var p=n.cells[f];a=i[f],c=0===f?[e[0]].concat(a):[c[0]].concat(a),c=p.call(c,t),s.push(c.slice(1))}a=[];var h,v=Object(d.a)(s.slice().reverse());try{for(v.s();!(h=v.n()).done;){var b,m=h.value;(b=a).push.apply(b,Object(l.a)(m))}}catch(g){v.e(g)}finally{v.f()}return[c[0]].concat(a)}))}},{key:"build",value:function(e){var t;ct(e)&&(e=e[0]),e=e,this.cells.forEach((function(n,r){ce("RNNCell_".concat(r),(function(){n.build(e),t=Array.isArray(n.stateSize)?n.stateSize[0]:n.stateSize,e=[e[0],t]}))})),this.built=!0}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t={cells:this.cells.map((function(e){return{className:e.getClassName(),config:e.getConfig()}}))};return Object.assign({},e,t)}},{key:"getWeights",value:function(){var e,t=[],n=Object(d.a)(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,Object(l.a)(r.weights))}}catch(a){n.e(a)}finally{n.f()}return vt(t)}},{key:"setWeights",value:function(e){var t,n=[],r=Object(d.a)(this.cells);try{for(r.s();!(t=r.n()).done;)for(var a=t.value,i=a.weights.length,o=e.splice(i),u=0;u<a.weights.length;++u)n.push([a.weights[u],o[u]])}catch(c){r.e(c)}finally{r.f()}bt(n)}},{key:"stateSize",get:function(){var e,t=[],n=Object(d.a)(this.cells.slice().reverse());try{for(n.s();!(e=n.n()).done;){var r=e.value;Array.isArray(r.stateSize)?t.push.apply(t,Object(l.a)(r.stateSize)):t.push(r.stateSize)}}catch(a){n.e(a)}finally{n.f()}return t}},{key:"trainableWeights",get:function(){if(!this.trainable)return[];var e,t=[],n=Object(d.a)(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,Object(l.a)(r.trainableWeights))}}catch(a){n.e(a)}finally{n.f()}return t}},{key:"nonTrainableWeights",get:function(){var e,t=[],n=Object(d.a)(this.cells);try{for(n.s();!(e=n.n()).done;){var r=e.value;t.push.apply(t,Object(l.a)(r.nonTrainableWeights))}}catch(c){n.e(c)}finally{n.f()}if(!this.trainable){var a,i=[],o=Object(d.a)(this.cells);try{for(o.s();!(a=o.n()).done;){var u=a.value;i.push.apply(i,Object(l.a)(u.trainableWeights))}}catch(c){o.e(c)}finally{o.f()}return i.concat(t)}return t}}],[{key:"fromConfig",value:function(e,t){var n,r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},a=[],i=Object(d.a)(t.cells);try{for(i.s();!(n=i.n()).done;){var o=n.value;a.push(Ut(o,r))}}catch(u){i.e(u)}finally{i.f()}return new e({cells:a})}}]),n}(ma);function Sa(e){var t=e.ones,n=e.rate,r=e.training,i=void 0!==r&&r,o=e.count,u=void 0===o?1:o,c=function(){return De(t(),n)},s=function(){return Fe(c,t,i)};return!u||u<=1?a.Nc(s().clone()):Array(u).fill(void 0).map(s).map((function(e){return a.Nc(e.clone())}))}ja.className="StackedRNNCells",a.yd.registerClass(ja);var Na=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},Ia=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),e.unroll)throw new x("Unrolling is not possible with convolutional RNNs.");if(Array.isArray(e.cell))throw new x("It is not possible at the moment to stack convolutional cells.");return(r=t.call(this,e)).inputSpec=[new mt({ndim:5})],r}return Object(o.a)(n,[{key:"call",value:function(e,t){var r=this;return a.Wd((function(){if(null!=r.cell.dropoutMask&&(a.vc(r.cell.dropoutMask),r.cell.dropoutMask=null),null!=r.cell.recurrentDropoutMask&&(a.vc(r.cell.recurrentDropoutMask),r.cell.recurrentDropoutMask=null),t&&t.constants)throw new k("ConvRNN2D cell does not support constants");var i=null==t?null:t.mask,o=null==t?null:t.training,u=null==t?null:t.initialState;

2return Object(Wt.a)(Object(h.a)(n.prototype),"call",r).call(r,e,{mask:i,training:o,initialState:u})}))}},{key:"computeOutputShape",value:function(e){var t=this.computeSingleOutputShape(e);return this.returnSequences||(t=[t[0]].concat(Object(l.a)(t.slice(2)))),this.returnState&&(t=[t].concat(Object(l.a)(Array(2).fill([e[0]].concat(Object(l.a)(t.slice(-3))))))),t}},{key:"getInitialState",value:function(e){var t=this;return a.Wd((function(){var n=t.cell.stateSize,r=e.shape,i=t.computeSingleOutputShape(r),o=[i[0]].concat(Object(l.a)(i.slice(2))),u=a.ie(o);return Array.isArray(n)?Array(n.length).fill(u):[u]}))}},{key:"resetStates",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];a.Wd((function(){if(!t.stateful)throw new y("Cannot call resetStates() on an RNN Layer that is not stateful.");var r=t.inputSpec[0].shape,i=t.computeSingleOutputShape(r),o=[i[0]].concat(Object(l.a)(i.slice(2)));if(null==r[0])throw new k("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==t.getStates())Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return a.ie(o)})):t.states_=[a.ie(o)];else if(null==e)a.vc(t.states_),null!=t.keptStates&&(a.vc(t.keptStates),t.keptStates=[]),Array.isArray(t.cell.stateSize)?t.states_=t.cell.stateSize.map((function(){return a.ie(o)})):t.states_[0]=a.ie(o);else{if(Array.isArray(e)||(e=[e]),e.length!==t.states_.length)throw new k("Layer ".concat(t.name," expects ").concat(t.states_.length," state(s), ")+"but it received ".concat(e.length," state value(s). Input ")+"received: ".concat(e));n?t.keptStates.push(t.states_.slice()):a.vc(t.states_);for(var u=0;u<t.states_.length;++u){var c=e[u],s=o;if(!a.de.arraysEqual(c.shape,s))throw new k("State ".concat(u," is incompatible with layer ").concat(t.name,": ")+"expected shape=".concat(s,", received shape=").concat(c.shape));t.states_[u]=c}}t.states_=t.states_.map((function(e){return a.Nc(e.clone())}))}))}},{key:"computeSingleOutputShape",value:function(e){var t=this.cell,n=t.dataFormat,r=t.filters,a=t.kernelSize,i=t.padding,o=t.strides,u=t.dilationRate,c="channelsFirst"===n,s=e[c?3:2],f=e[c?4:3],d=Qr(s,a[0],i,o[0],u[0]),p=Qr(f,a[1],i,o[1],u[1]);return[].concat(Object(l.a)(e.slice(0,2)),Object(l.a)(c?[r,d,p]:[d,p,r]))}}]),n}(ba);Ia.className="ConvRNN2D";var Ca=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;Object(i.a)(this,n);var a=e.filters,o=e.kernelSize,u=e.strides,c=e.padding,s=e.dataFormat,l=e.dilationRate;return(r=t.call(this,Object.assign({},e,{units:a}))).filters=a,B(r.filters,"filters"),r.kernelSize=Yr(o,2,"kernelSize"),r.kernelSize.forEach((function(e){return B(e,"kernelSize")})),r.strides=Yr(u||1,2,"strides"),r.strides.forEach((function(e){return B(e,"strides")})),r.padding=c||"valid",ie(r.padding),r.dataFormat=s||"channelsLast",ae(r.dataFormat),r.dilationRate=Yr(l||1,2,"dilationRate"),r.dilationRate.forEach((function(e){return B(e,"dilationRate")})),r}return Object(o.a)(n,[{key:"build",value:function(e){var t;e=ft(e);var n="channelsFirst"===this.dataFormat?1:e.length-1;if(null==e[n])throw new k("The channel dimension of the input should be defined. "+"Found ".concat(e[n]));var r=e[n],s=this.kernelSize.concat([r,4*this.filters]);this.kernel=this.addWeight("kernel",s,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint);var l=this.kernelSize.concat([this.filters,4*this.filters]);if(this.recurrentKernel=this.addWeight("recurrent_kernel",l,null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){var f;if(this.unitForgetBias){var d=this.biasInitializer,p=this.filters;f=new((t=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(){return Object(i.a)(this,n),t.apply(this,arguments)}return Object(o.a)(n,[{key:"apply",value:function(e,t){return je([d.apply([p]),a.id([p]),d.apply([2*p])])}}]),n}(ze)).className="CustomInit",t)}else f=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.filters],null,f,this.biasRegularizer,!0,this.biasConstraint)}this.built=!0}},{key:"call",value:function(e,t){var n=this;return a.Wd((function(){if(3!==e.length)throw new k("ConvLSTM2DCell expects 3 input Tensors (inputs, h, c), got "+"".concat(e.length,"."));var r=t.training||!1,i=e[0],o=e[1],u=e[2];0<n.dropout&&n.dropout<1&&null==n.dropoutMask&&(n.dropoutMask=Sa({ones:function(){return a.jd(i)},rate:n.dropout,training:r,count:4}));var c=n.dropoutMask,s=function(e,t,n){return t&&t[n]?a.dd(t[n],e):e},l=s(i,c,0),d=s(i,c,1),p=s(i,c,2),h=s(i,c,3);0<n.recurrentDropout&&n.recurrentDropout<1&&null==n.recurrentDropoutMask&&(n.recurrentDropoutMask=Sa({ones:function(){return a.jd(o)},rate:n.recurrentDropout,training:r,count:4}));var v=n.recurrentDropoutMask,b=s(o,v,0),m=s(o,v,1),g=s(o,v,2),y=s(o,v,3),O=a.Jd(n.kernel.read(),4,3),x=Object(f.a)(O,4),w=x[0],j=x[1],S=x[2],N=x[3],I=n.useBias?a.Jd(n.bias.read(),4):[null,null,null,null],C=Object(f.a)(I,4),E=C[0],T=C[1],A=C[2],R=C[3];l=n.inputConv(l,w,E,n.padding),d=n.inputConv(d,j,T,n.padding),p=n.inputConv(p,S,A,n.padding),h=n.inputConv(h,N,R,n.padding);var _=a.Jd(n.recurrentKernel.read(),4,3),D=Object(f.a)(_,4),F=D[0],M=D[1],L=D[2],z=D[3];b=n.recurrentConv(b,F),m=n.recurrentConv(m,M),g=n.recurrentConv(g,L),y=n.recurrentConv(y,z);var P=n.recurrentActivation.apply(a.Ub(l,b)),B=n.recurrentActivation.apply(a.Ub(d,m)),W=a.Ub(a.dd(B,u),a.dd(P,n.activation.apply(a.Ub(p,g)))),U=a.dd(n.recurrentActivation.apply(a.Ub(h,y)),n.activation.apply(W));return[U,U,W]}))}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t=(e.units,Na(e,["units"])),r={filters:this.filters,kernelSize:this.kernelSize,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,strides:this.strides};return Object.assign({},t,r)}},{key:"inputConv",value:function(e,t,n,r){var i=a.qc(e,t,this.strides,r||"valid","channelsFirst"===this.dataFormat?"NCHW":"NHWC",this.dilationRate);return n?Re(i,n,this.dataFormat):i}},{key:"recurrentConv",value:function(e,t){return a.qc(e,t,1,"same","channelsFirst"===this.dataFormat?"NCHW":"NHWC")}}]),n}(xa);Ca.className="ConvLSTM2DCell",a.yd.registerClass(Ca);var Ea=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){Object(i.a)(this,n);var r=new Ca(e);return t.call(this,Object.assign({},e,{cell:r}))}return Object(o.a)(n,null,[{key:"fromConfig",value:function(e,t){return new e(t)}}]),n}(Ia);Ea.className="ConvLSTM2D",a.yd.registerClass(Ea);var Ta=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).rate=Math.max(Math.min(e.rate,1),0),r.noiseShape=e.noiseShape,r.seed=e.seed,r.supportsMasking=!0,r}return Object(o.a)(n,[{key:"getNoiseShape",value: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}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t);var r=lt(e);if(0<n.rate&&n.rate<1){var a=null!=t.training&&t.training,i=n.getNoiseShape(r);return Fe((function(){return De(r,n.rate,i,n.seed)}),(function(){return r}),a)}return e}))}},{key:"getConfig",value:function(){var e={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"dispose",value:function(){return Object(Wt.a)(Object(h.a)(n.prototype),"dis

2pose",this).call(this)}}]),n}(xt);Ta.className="Dropout",a.yd.registerClass(Ta);var Aa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).inputSpec=[{ndim:3}],r}return Object(o.a)(n,[{key:"getNoiseShape",value:function(e){var t=e.shape;return[t[0],1,t[2]]}}]),n}(Ta);Aa.className="SpatialDropout1D",a.yd.registerClass(Aa);var Ra=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),(r=t.call(this,e)).activation=null,r.useBias=!0,r.kernel=null,r.bias=null,r.DEFAULT_KERNEL_INITIALIZER="glorotNormal",r.DEFAULT_BIAS_INITIALIZER="zeros",null==e.batchInputShape&&null==e.inputShape&&null!=e.inputDim){var a=null;null!=e.batchSize&&(a=e.batchSize),r.batchInputShape=[a,e.inputDim]}return r.units=e.units,B(r.units,"units"),r.activation=Dr(e.activation),null!=e.useBias&&(r.useBias=e.useBias),r.kernelInitializer=rt(e.kernelInitializer||r.DEFAULT_KERNEL_INITIALIZER),r.biasInitializer=rt(e.biasInitializer||r.DEFAULT_BIAS_INITIALIZER),r.kernelConstraint=Z(e.kernelConstraint),r.biasConstraint=Z(e.biasConstraint),r.kernelRegularizer=Wr(e.kernelRegularizer),r.biasRegularizer=Wr(e.biasRegularizer),r.activityRegularizer=Wr(e.activityRegularizer),r.supportsMasking=!0,r.inputSpec=[{minNDim:2}],r}return Object(o.a)(n,[{key:"build",value:function(e){var t=(e=ft(e))[e.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[t,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:Xr({},-1,t)}],this.built=!0}},{key:"computeOutputShape",value:function(e){var t=(e=ft(e)).slice();return t[t.length-1]=this.units,t}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t);var r,a=lt(e),i=U(n.activation.getClassName());return null!=i?r=Ce(a,n.kernel.read(),i,n.bias?n.bias.read():null):(r=Ce(a,n.kernel.read()),null!=n.bias&&(r=Re(r,n.bias.read())),null!=n.activation&&(r=n.activation.apply(r))),r}))}},{key:"getConfig",value:function(){var e={units:this.units,activation:Rr(this.activation),useBias:this.useBias,kernelInitializer:nt(this.kernelInitializer),biasInitializer:nt(this.biasInitializer),kernelRegularizer:Pr(this.kernelRegularizer),biasRegularizer:Pr(this.biasRegularizer),activityRegularizer:Pr(this.activityRegularizer),kernelConstraint:Q(this.kernelConstraint),biasConstraint:Q(this.biasConstraint)},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);Ra.className="Dense",a.yd.registerClass(Ra);var _a=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),e=e||{},(r=t.call(this,e)).inputSpec=[{minNDim:3}],r.dataFormat=e.dataFormat,r}return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){e=ft(e);var t,n=Object(d.a)(e.slice(1));try{for(n.s();!(t=n.n()).done;){if(null==t.value)throw new k('The shape of the input to "Flatten" is not fully defined '+"(got ".concat(e.slice(1),"). Make sure to pass a complete ")+'"input_shape" or "batch_input_shape" argument to the first layer in your model.')}}catch(r){n.e(r)}finally{n.f()}return[e[0],pe(e,1)]}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t);var r=lt(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 k("batchFlatten requires a minimum rank of 2. Got rank: ".concat(e.rank,"."));var t=[e.shape[0],pe(e.shape,1)];return e.reshape(t)}(r)}))}},{key:"getConfig",value:function(){var e={};null!=this.dataFormat&&(e.dataFormat=this.dataFormat);var t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);_a.className="Flatten",a.yd.registerClass(_a);var Da=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).supportsMasking=!0,r.activation=Dr(e.activation),r}return Object(o.a)(n,[{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t);var r=lt(e);return n.activation.apply(r)}))}},{key:"getConfig",value:function(){var e={activation:Rr(this.activation)},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);Da.className="Activation",a.yd.registerClass(Da);var Fa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).n=e.n,r.inputSpec=[{ndim:2}],r}

2return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){return[e[0],this.n,e[1]]}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){return e=lt(e),t=e,r=n.n,Object(a.Wd)((function(){if(2!==t.shape.length)throw new k("repeat() expects a rank-2 tensor, but received a "+"rank-".concat(t.shape.length," tensor."));return Ne(ye(t,1),[1,r,1])}));var t,r}))}},{key:"getConfig",value:function(){var e={n:this.n},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);Fa.className="RepeatVector",a.yd.registerClass(Fa);var Ma=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;Object(i.a)(this,n),(r=t.call(this,e)).targetShape=e.targetShape;for(var a=0;a<r.targetShape.length;++a)r.isUnknown(r.targetShape[a])&&(r.targetShape[a]=null);return r}return Object(o.a)(n,[{key:"isUnknown",value:function(e){return e<0||null==e}},{key:"fixUnknownDimension",value: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 u=r[o];if(this.isUnknown(u)){if(null!==i)throw new k("Can only specifiy one unknown dimension.");i=o}else a*=u}var c=pe(e);if(null!==i){if(0===a||c%a!==0)throw new k(n);r[i]=c/a}else if(c!==a)throw new k(n);return r}},{key:"computeOutputShape",value: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))}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t);var r=lt(e),a=r.shape,i=a.slice(0,1).concat(n.fixUnknownDimension(a.slice(1),n.targetShape));return r.reshape(i)}))}},{key:"getConfig",value:function(){var e={targetShape:this.targetShape},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);Ma.className="Reshape",a.yd.registerClass(Ma);var La=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),r=t.call(this,e),null==e.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(e.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+"".concat(e.dims," instead."));var o=me(1,e.dims.length+1);if(!a.de.arraysEqual(e.dims.slice().sort(),o))throw new Error("Invalid permutation `dims`: "+JSON.stringify(e.dims)+" `dims` must contain consecutive integers starting from 1.");return r.dims=e.dims,r.dimsIncludingBatch=[0].concat(r.dims),r.inputSpec=[new mt({ndim:r.dims.length+1})],r}return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){var t=(e=ft(e)).slice();return this.dims.forEach((function(n,r){t[r+1]=e[n]})),t}},{key:"call",value:function(e,t){return Object(a.Zd)(lt(e),this.dimsIncludingBatch)}},{key:"getConfig",value:function(){var e={dims:this.dims},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);La.className="Permute",a.yd.registerClass(La);var za=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,null==e?{}:e)).supportsMasking=!0,r.maskValue=null!=e?null==e.maskValue?0:e.maskValue:0,r}return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t={maskValue:this.maskValue};return Object.assign(t,e),t}},{key:"computeMask",value:function(e,t){var n=lt(e);return Object(a.Wb)(Object(a.gd)(n,this.maskValue),-1)}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t);var r=lt(e),i=Object(a.Wb)(Object(a.gd)(r,n.maskValue),-1,!0);return r.mul(i.asType(r.dtype))}))}}]),n}(xt);za.className="Masking",a.yd.registerClass(za);var Pa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),(r=t.call(this,e)).embeddings=null,r.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==e.batchInputShape&&null==e.inputShape){var a=null;null!=e.batchSize&&(a=e.batchSize),null==e.inputLength?r.batchInputShape=[a,null]:r.batchInputShape=[a].concat(C(e.inputLength))}return r.inputDim=e.inputDim,B(r.inputDim,"inputDim"),r.outputDim=e.outputDim,B(r.outputDim,"outputDim"),r.embeddingsInitializer=rt(e.embeddingsInitializer||r.DEFAULT_EMBEDDINGS_INITIALIZER),r.embeddingsRegularizer=Wr(e.embeddingsRegularizer),r.activityRegularizer=Wr(e.activityRegularizer),r.embeddingsConstraint=Z(e.embeddingsConstraint),r.maskZero=e.maskZero,r.supportsMasking=e.maskZero,r.inputLength=e.inputLength,r}return Object(o.a)(n,[{key:"build",value:function(e){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0}},{key:"warnOnIncompatibleInputShape",value:function(e){}},{key:"computeMask",value:function(e,t){var n=this;return Object(a.Wd)((function(){return n.maskZero?(e=lt(e),Object(a.gd)(e,Object(a.je)(e))):null}))}},{key:"computeOutputShape",value:function(e){if(e=ft(e),null==this.inputLength)return[].concat(Object(l.a)(e),[this.outputDim]);var t=C(this.inputLength);if(t.length!==e.length-1)throw new k('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(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 k('"inputLength" is '.concat(this.inputLength,", but received ")+"input shape has shape ".concat(e));null==a&&(t[n]=i),n++}return[e[0]].concat(Object(l.a)(t),[this.outputDim])}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t);var r=lt(e);return"int32"!==r.dtype&&(r=ge(r,"int32")),Ee(n.embeddings.read(),r.as1D()).reshape(ft(n.computeOutputShape(r.shape)))}))}},{key:"getConfig",value:function(){var e={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:nt(this.embeddingsInitializer),embeddingsRegularizer:Pr(this.embeddingsRegularizer),activityRegularizer:Pr(this.activityRegularizer),embeddingsConstraint:Q(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);Pa.className="Embedding",a.yd.registerClass(Pa);var Ba=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e||{})).supportsMasking=!0,r}return Object(o.a)(n,[{key:"mergeFunction",value:function(e){throw new x}},{key:"computeElementwiseOpOutputShape",value: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];

2if(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 k("Operands could not be broadcast together with shapes "+JSON.stringify(e)+" "+JSON.stringify(t));n.push(a)}}return n}},{key:"build",value:function(e){if(Array.isArray(e)&&!Array.isArray(e[0])&&(e=[ft(e)]),(e=e).length<2)throw new k("A merge layer should be called on an Array of at least 2 inputs."+" Got ".concat(e.length," input(s)."));var t,n=[],r=Object(d.a)(e);try{for(r.s();!(t=r.n()).done;){var a=t.value;null!=a&&null!==a[0]&&n.push(a[0])}}catch(s){r.e(s)}finally{r.f()}if((n=M(n)).length>1)throw new k("Can not merge tensors with different batch sizes. "+"Got tensors with shapes: ".concat(JSON.stringify(e),"."));for(var i=null==e[0]?null:e[0].slice(1),o=1;o<e.length;++o){var u=null==e[o]?null:e[o].slice(1);i=this.computeElementwiseOpOutputShape(i,u)}var c=e.map((function(e){return e.length}));-1===e.indexOf(null)&&1===M(c).length?this.reshapeRequired=!1:this.reshapeRequired=!0}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){if(e=e,n.reshapeRequired){var t=[],r=e.map((function(e){return e.rank}));if(-1===r.indexOf(null)){var i,o=be(r),u=Object(d.a)(e);try{for(u.s();!(i=u.n()).done;){for(var c=i.value,s=c.rank,l=0;l<o-s;++l)c=ye(c,1);t.push(c)}}catch(C){u.e(C)}finally{u.f()}return n.mergeFunction(t)}var f,p=!1,h=Object(d.a)(e);try{for(h.s();!(f=h.n()).done;){var v=f.value,b=v.rank;if(null==b){var m=v.shape,g=m[0],y=m.slice(1).concat([g]),O=v.reshape([g].concat(pe(m.slice(1))));O=(O=a.Zd(O,[1,0])).reshape(y),t.push(O),p=!0}else if(b>1){var k=me(1,b).concat([0]);t.push(a.Zd(v,k)),p=!0}else t.push(v)}}catch(C){h.e(C)}finally{h.f()}var x=n.mergeFunction(t),w=x.rank;if(p)if(null==w){var j=x.shape,S=j[j.length-1],N=[S].concat(j.slice(0,j.length-1));x=a.Zd(x.reshape([-1,S]),[1,0]).reshape(N)}else if(w>1){var I=[w-1].concat(me(0,w-1));x=a.Zd(x,I)}return x}return n.mergeFunction(e)}))}},{key:"computeOutputShape",value: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)}var a,i=[],o=Object(d.a)(e);try{for(o.s();!(a=o.n()).done;){var u=a.value;null!=u&&null!==u[0]&&i.push(u[0])}}catch(c){o.e(c)}finally{o.f()}return t=1===(i=M(i)).length?i.concat(t):[null].concat(t)}},{key:"computeMask",value:function(e,t){return a.Wd((function(){if(null==t)return null;if(!Array.isArray(t))throw new k("`mask` should be an Array");if(!Array.isArray(e))throw new k("`inputs` should be an Array");if(t.length!==e.length)throw new k("The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths "+"(".concat(e.length," vs ").concat(t.length,")"));if(t.every((function(e){return null==e})))return null;for(var n=(t=t.map((function(e){return null==e?e:a.Dc(e,0)})))[0],r=1;r<t.length-1;++r)n=a.Tc(n,t[r]);return n}))}}]),n}(xt),Wa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"mergeFunction",value:function(e){return Object(a.Wd)((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=a.Ub(t,e[n]);return t}))}}]),n}(Ba);Wa.className="Add",a.yd.registerClass(Wa);var Ua=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"mergeFunction",value:function(e){return Object(a.Wd)((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=a.dd(t,e[n]);return t}))}}]),n}(Ba);Ua.className="Multiply",a.yd.registerClass(Ua);var Va=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"mergeFunction",value:function(e){return Object(a.Wd)((function(){for(var t=e[0].clone(),n=1;n<e.length;++n)t=a.Ub(t,e[n]);return a.dd(1/e.length,t)}))}}]),n}(Ba);Va.className="Average",a.yd.registerClass(Va);var Ga=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"mergeFunction",value:function(e){return Object(a.Wd)((function(){for(var t=e[0],n=1;n<e.length;++n)t=a.Xc(t,e[n]);return t}))}}]),n}(Ba);Ga.className="Maximum",a.yd.registerClass(Ga);var Ha=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"mergeFunction",value:function(e){return Object(a.Wd)((function(){for(var t=e[0],n=1;n<e.length;++n)t=a.bd(t,e[n]);return t}))}}]),n}(Ba);Ha.className="Minimum",a.yd.registerClass(Ha);var qa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).DEFAULT_AXIS=-1,null==e&&(e={}),r.axis=null==e.axis?r.DEFAULT_AXIS:e.axis,r.supportsMasking=!0,r.reshapeRequired=!1,r}return Object(o.a)(n,[{key:"build",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0])||1===e.length)throw new k("A `Concatenate` layer should be called on a list of at least 2 inputs");e=e;var t,n=!0,r=Object(d.a)(e);try{for(r.s();!(t=r.n()).done;){if(null!=t.value){n=!1;break}}}catch(p){r.e(p)}finally{r.f()}if(!n){for(var i=[],o=0;o<e.length;++o){var u=e[o].slice();u.splice(this.axis,1);var c,s=!1,l=Object(d.a)(i);try{for(l.s();!(c=l.n()).done;){var f=c.value;if(a.de.arraysEqual(f,u)){s=!0;break}}}catch(p){l.e(p)}finally{l.f()}s||i.push(u)}if(i.length>1)throw new k("A `Concatenate` layer requires inputs with matching shapes except for the concat axis. Got input shapes: "+JSON.stringify(e))}}},{key:"mergeFunction",value:function(e){var t=this;return Object(a.Wd)((function(){return je(e,t.axis)}))}},{key:"computeOutputShape",value:function(e){if(!Array.isArray(e)||!Array.isArray(e[0]))throw new k("A `Concatenate` layer should be called on a list of inputs.");var t,n=e,r=n[0].slice(),a=this.axis<0?r.length+this.axis:this.axis,i=Object(d.a)(n.slice(1));try{for(i.s();!(t=i.n()).done;){var o=t.value;if(null==r[a]||null==o[a]){r[a]=null;break}r[a]+=o[a]}}catch(u){i.e(u)}finally{i.f()}return r}},{key:"computeMask",value:function(e,t){var n=this;if(null==t)return null;if(!Array.isArray(t))throw new k("`mask` should be an array for Concatenate");if(!Array.isArray(e))throw new k("`inputs` should be an array for Concatenate");if(t.length!==e.length)throw new k("Mismatch in the length of mask (".concat(t.length,") ")+"and the legnth of inputs (".concat(e.length,")"));return a.Wd((function(){var r=!0;if(t.forEach((function(e){null==e||(r=!1)})),r)return null;for(var i=[],o=0;o<e.length;++o)null==t[o]?i.push(a.jd(e[o]).asType("bool")):t[o].rank<e[o].rank?i.push(a.Dc(t[o],-1)):i.push(t[o]);var u=a.kc(i,n.axis);return a.Vb(u,-1,!1)}))}},{key:"getConfig",value:function(){var e={axis:this.axis},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Ba);function Ka(e,t){for(;e<0;)e+=t;return e}qa.className="Concatenate",a.yd.registerClass(qa);var Xa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).axes=e.axes,r.normalize=null!=e.normalize&&e.normalize,r.supportsMasking=!0,r.reshapeRequired=!1,r}return Object(o.a)(n,[{key:"build",value:function(e){a.de.assert(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 x("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 k("Dimension incompatibility: "+"".concat(t[r[0]]," !== ").concat(n[r[1]]))}},{key:"mergeFunction",value:function(e){if(2!==e.length)throw new k("A `Dot` layer must be called on exactly 2 inputs, "+"but received ".concat(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 Ka(t,e[n].shape.length)})):[Ka(this.axes,n.shape.length),Ka(this.axes,r.shape.length)],this.normalize&&(n=Vt(n,t[0]),r=Vt(r,t[1])),function(e,t,n){if(e.shape.length>3||t.shape.length>3)throw new x("batchDot is not implemented for tensors of 4D or higher rank yet");if(a.de.assert(e.shape.length>=2,(function(){return"batchDot requires the rank of x to be >= 2, "+"but got ".concat(e.shape.length)})),a.de.assert(e.shape.length>=2,(function(){return"batchDot requires the rank of y to be >= 2, "+"but got ".concat(t.shape.length)})),"number"===typeof n&&(n=[n,n]),"complex64"===e.dtype||"complex64"===t.dtype)throw new x("batchDot is not implemented for complex64-type Tensors yet.");var r=e.shape.length,i=t.shape.length;null==n&&(n=[r-1,i-2]);var o=n;return a.Wd((function(){var n,a;if(r>i){n=r-i;for(var u=[],c=0;c<n;++c)u.push(1);

2t=t.reshape(t.shape.concat(u))}else if(i>r){n=i-r;for(var s=[],l=0;l<n;++l)s.push(1);e=e.reshape(e.shape.concat(s))}else n=0;if(2===e.shape.length&&2===t.shape.length)a=o[0]===o[1]?e.mul(t).sum(o[0]):e.transpose([1,0]).mul(t).sum(o[1]);else{var f=o[0]!==e.shape.length-1,d=o[1]===t.shape.length-1;a=e.matMul(t,f,d)}if(n>0){for(var p,h=[],v=p=r>i?r+i-3:r-1;v<p+n;++v)h.push(v);a=a.squeeze(h)}return 1===a.shape.length&&(a=a.expandDims(1)),a}))}(n,r,t)}},{key:"interpretAxes",value:function(e,t){return Array.isArray(this.axes)?this.axes:[Ka(this.axes,e.length),Ka(this.axes,t.length)]}},{key:"computeOutputShape",value:function(e){a.de.assert(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 x("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 i=t.concat(n);return 1===i.length&&i.push(1),i}},{key:"computeMask",value:function(e,t){return null}},{key:"getConfig",value:function(){var e={axes:this.axes,normalize:this.normalize},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(Ba);Xa.className="Dot",a.yd.registerClass(Xa);var Ya=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).supportsMasking=!0,r.stddev=e.stddev,r}return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t={stddev:this.stddev};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t);var r=lt(e);return Fe((function(){return Ie(r.shape,0,n.stddev).add(r)}),(function(){return r}),t.training||!1)}))}}]),n}(xt);Ya.className="GaussianNoise",a.yd.registerClass(Ya);var Qa=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r}return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t);var r=lt(e);if(n.rate>0&&n.rate<1){return Fe((function(){var e=Math.sqrt(n.rate/(1-n.rate));return r.mul(Ie(r.shape,1,e))}),(function(){return r}),t.training||!1)}return r}))}}]),n}(xt);Qa.className="GaussianDropout",a.yd.registerClass(Qa);var Ja=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).supportsMasking=!0,r.rate=e.rate,r.noiseShape=e.noiseShape,r}return Object(o.a)(n,[{key:"_getNoiseShape",value:function(e){return this.noiseShape||lt(e).shape}},{key:"computeOutputShape",value:function(e){return e}},{key:"getConfig",value:function(){var e=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this),t={rate:this.rate};return Object.assign(t,e),t}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){if(n.rate<1&&n.rate>0){var r=n._getNoiseShape(e);return Fe((function(){var t=lt(e),i=-1.7580993408473766,o=Object(a.Kc)(Object(a.od)(r),n.rate);o=ge(o,"float32");var u=Math.pow((1-n.rate)*(1+n.rate*Math.pow(i,2)),-.5),c=-u*i*n.rate;return t.mul(o).add(o.add(-1).mul(i)).mul(u).add(c)}),(function(){return lt(e)}),t.training||!1)}return e}))}}]),n}(xt);function Za(e,t,n,r,i){var o,u=arguments.length>5&&void 0!==arguments[5]?arguments[5]:.001;if(2===e.rank)o=a.cc(e,t,n,r,i,u);else if(3===e.rank)o=a.dc(e,t,n,r,i,u);else{if(4!==e.rank)throw new x("batchNormalization is not implemented for array of rank ".concat(e.rank," ")+"yet");o=a.ec(e,t,n,r,i,u)}return o}function $a(e,t,n,r){var i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return Object(a.Wd)((function(){var o=a.cd(e,r),u=o.mean,c=o.variance;return[Za(e,u,c,n,t,i),u,c]}))}function ei(e,t,n,r){var i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return Object(a.Wd)((function(){var o,u=a.cd(e,r),c=u.mean,s=u.variance,l=[],f=Object(d.a)(me(0,e.rank));try{for(f.s();!(o=f.n()).done;){var p=o.value;-1!==r.indexOf(p)?l.push(1):l.push(e.shape[p])}}catch(g){f.e(g)}finally{f.f()}var h=c.reshape(l),v=s.reshape(l),b=null==t?null:t.reshape(l),m=null==n?null:n.reshape(l);return[Za(e,h,v,m,b,i),c,s]}))}Ja.className="AlphaDropout",a.yd.registerClass(Ja);var ti=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),null==e&&(e={}),(r=t.call(this,e)).supportsMasking=!0,r.axis=null==e.axis?-1:e.axis,r.momentum=null==e.momentum?.99:e.momentum,r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=rt(e.betaInitializer||"zeros"),r.gammaInitializer=rt(e.gammaInitializer||"ones"),r.movingMeanInitializer=rt(e.movingMeanInitializer||"zeros"),r.movingVarianceInitializer=rt(e.movingVarianceInitializer||"ones"),r.betaConstraint=Z(e.betaConstraint),r.gammaConstraint=Z(e.gammaConstraint),r.betaRegularizer=Wr(e.betaRegularizer),r.gammaRegularizer=Wr(e.gammaRegularizer),r}return Object(o.a)(n,[{key:"build",value:function(e){e=ft(e);var t=this.axis>=0?this.axis:this.axis+e.length,n=e[t];if(null==n)throw new k("Axis ".concat(t," of input tensor should have a defined dimension but ")+"the layer received an input with shape "+"".concat(JSON.stringify(e),"."));this.inputSpec=[new mt({ndim:e.length,axes:Xr({},t,n)})];var r=[n];this.scale&&(this.gamma=this.addWeight("gamma",r,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",r,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",r,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",r,null,this.movingVarianceInitializer,null,!1),this.built=!0}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){var r=null!=t.training&&t.training,i=lt(e),o=i.shape,u=o.length,c=me

2(0,u),s=n.axis>=0?n.axis:n.axis+u;c.splice(s,1);var l=j(1,u);l[s]=o[s];var d=c.slice();d.sort();var p=!a.de.arraysEqual(d,me(0,u).slice(0,u-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,a=n.scale?n.gamma.read().reshape(l):null;return Za(i,e,t,r,a,n.epsilon)}return Za(i,n.movingMean.read(),n.movingVariance.read(),null==n.beta?null:n.beta.read(),null==n.gamma?null:n.gamma.read(),n.epsilon)}();var h=function(e,t,n,r){var i=arguments.length>4&&void 0!==arguments[4]?arguments[4]:.001;return a.de.arraysEqual(r.slice().sort(),me(0,e.rank-1))?$a(e,t,n,r,i):ei(e,t,n,r,i)}(i,n.gamma.read(),n.beta.read(),c,n.epsilon),v=Object(f.a)(h,3),b=v[0],m=v[1],g=v[2],y=function(e,t,n){a.Wd((function(){var r=1-n,a=e.read(),i=a.sub(t).mul(r);e.write(a.sub(i))}))};return y(n.movingMean,m,n.momentum),y(n.movingVariance,g,n.momentum),b}))}},{key:"getConfig",value:function(){var e={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:nt(this.betaInitializer),gammaInitializer:nt(this.gammaInitializer),movingMeanInitializer:nt(this.movingMeanInitializer),movingVarianceInitializer:nt(this.movingVarianceInitializer),betaRegularizer:Pr(this.betaRegularizer),gammaRegularizer:Pr(this.gammaRegularizer),betaConstraint:Q(this.betaConstraint),gammaConstraint:Q(this.gammaConstraint)},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);ti.className="BatchNormalization",a.yd.registerClass(ti);var ni=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),null==e&&(e={}),(r=t.call(this,e)).axis=null==e.axis?-1:e.axis,"number"===typeof r.axis){if(!Number.isInteger(r.axis))throw new Error("Expected axis to be an integer, but received ".concat(r.axis))}else{if(!Array.isArray(r.axis))throw new Error("Expected axis to be an integer or an array of integers, "+"but received ".concat(JSON.stringify(r.axis)));var a,o=Object(d.a)(r.axis);try{for(o.s();!(a=o.n()).done;){var u=a.value;if(!Number.isInteger(u))throw new Error("Expected axis to be an array of integers, "+"but received ".concat(JSON.stringify(r.axis)))}}catch(c){o.e(c)}finally{o.f()}}return r.epsilon=null==e.epsilon?.001:e.epsilon,r.center=null==e.center||e.center,r.scale=null==e.scale||e.scale,r.betaInitializer=rt(e.betaInitializer||"zeros"),r.gammaInitializer=rt(e.gammaInitializer||"ones"),r.betaRegularizer=Wr(e.betaRegularizer),r.gammaRegularizer=Wr(e.gammaRegularizer),r.supportsMasking=!0,r}return Object(o.a)(n,[{key:"build",value:function(e){var t=(e=ft(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);var r,a=Object(d.a)(this.axis);try{for(a.s();!(r=a.n()).done;){var i=r.value;if(i<0||i>=t)throw new Error("Invalid axis: ".concat(i))}}catch(u){a.e(u)}finally{a.f()}if(this.axis.length!==M(this.axis).length)throw new Error("Found duplicate axes in: ".concat(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,true):this.gamma=null,this.center?this.beta=this.addWeight("beta",o,"float32",this.betaInitializer,this.betaRegularizer,true):this.beta=null,this.built=!0}},{key:"call",value:function(e,t){var n=this,r=lt(e),i=r.shape,o=i.length;return Object(a.Wd)((function(){var e,t=Object(a.cd)(r,n.axis,!0),u=t.mean,c=t.variance,s=j(1,o),l=Object(d.a)(n.axis);try{for(l.s();!(e=l.n()).done;){var f=e.value;s[f]=i[f]}}catch(y){l.e(y)}finally{l.f()}for(var p=function(e){return null!=e&&e.shape.length!==o&&n.axis!==[o-1]?e.reshape(s):e},h=p(n.gamma.read()),v=p(n.beta.read()),b=[],m=[],g=0;g<o;++g)-1!==n.axis.indexOf(g)?(b.push(i[g]),m.push(1)):(b.push(1),m.push(i[g]));return u=u.tile(b),c=c.tile(b),h=h.tile(m),v=v.tile(m),Za(r,u,c,v,h,n.epsilon)}))}},{key:"getConfig",value:function(){var e={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:nt(this.betaInitializer),gammaInitializer:nt(this.gammaInitializer),betaRegularizer:Pr(this.betaRegularizer),gammaRegularizer:Pr(this.gammaRegularizer)},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);ni.className="LayerNormalization",a.yd.registerClass(ni);var ri=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),null==e&&(e={}),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,null==e.padding)r.padding=[[1,1],[1,1]];else if("number"===typeof e.padding)r.padding=[[e.padding,e.padding],[e.padding,e.padding]];else{if(e.padding=e.padding,2!==e.padding.length)throw new k("ZeroPadding2D expects padding to be a length-2 array, but "+"received a length-".concat(e.padding.length," array."));var a,o;if("number"===typeof e.padding[0])a=[e.padding[0],e.padding[0]],o=[e.padding[1],e.padding[1]];else{if(e.padding=e.padding,2!==e.padding[0].length)throw new k("ZeroPadding2D expects height padding to be a length-2 array, "+"but received a length-".concat(e.padding[0].length," array."));if(a=e.padding[0],2!==e.padding[1].length)throw new k("ZeroPadding2D expects width padding to be a length-2 array, "+"but received a length-".concat(e.padding[1].length," array."));o=e.padding[1]}r.padding=[a,o]}return r.inputSpec=[new mt({ndim:4})],r}

2return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){var t,n;return e=ft(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]])}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){return t=lt(e),r=n.padding,i=n.dataFormat,Object(a.Wd)((function(){if(4!==t.rank)throw new k("temporalPadding expects input tensor to be 4-D, but received a "+"".concat(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 k("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==i&&(i="channelsLast"),"channelsLast"!==i&&"channelsFirst"!==i)throw new k("Unknown data format: ".concat(i,". ")+"Supported data formats are 'channelsLast' and 'channelsFirst.");var e;return e="channelsFirst"===i?[[0,0],[0,0],r[0],r[1]]:[[0,0],r[0],r[1],[0,0]],a.kd(t,e)}));var t,r,i}))}},{key:"getConfig",value:function(){var e={padding:this.padding,dataFormat:this.dataFormat},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt);function ai(e,t,n,r,i,o){return Object(a.Wd)((function(){var u;ae(i),oe(o),ie(r),null==n&&(n=[1,1]),null==r&&(r="valid"),null==i&&(i="channelsLast"),null==o&&(o="max"),e=Zr(e,i);var c="same"===r?"same":"valid";return u="max"===o?a.Vc(e,t,n,c):a.Yb(e,t,n,c),"channelsFirst"===i&&(u=a.Zd(u,[0,3,1,2])),u}))}function ii(e,t,n,r,i,o){return Object(a.Wd)((function(){var u;ae(i),oe(o),ie(r),null==n&&(n=[1,1,1]),null==r&&(r="valid"),null==i&&(i="channelsLast"),null==o&&(o="max"),e=$r(e,i);var c="same"===r?"same":"valid";return u="max"===o?a.Wc(e,t,n,c):a.Zb(e,t,n,c),"channelsFirst"===i&&(u=a.Zd(u,[0,4,1,2,3])),u}))}ri.className="ZeroPadding2D",a.yd.registerClass(ri);var oi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),null==e.poolSize&&(e.poolSize=2),r=t.call(this,e),"number"===typeof e.poolSize)r.poolSize=[e.poolSize];else{if(!Array.isArray(e.poolSize)||1!==e.poolSize.length||"number"!==typeof e.poolSize[0])throw new k("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.poolSize)));r.poolSize=e.poolSize}if(B(r.poolSize,"poolSize"),null==e.strides)r.strides=r.poolSize;else if("number"===typeof e.strides)r.strides=[e.strides];else{if(!Array.isArray(e.strides)||1!==e.strides.length||"number"!==typeof e.strides[0])throw new k("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+"".concat(JSON.stringify(e.strides)));r.strides=e.strides}return B(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,ie(r.padding),r.inputSpec=[new mt({ndim:3})],r}return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){var t=Qr((e=ft(e))[1],this.poolSize[0],this.padding,this.strides[0]);return[e[0],t,e[2]]}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){n.invokeCallHook(e,t),e=ye(lt(e),2);var r=n.poolingFunction(lt(e),[n.poolSize[0],1],[n.strides[0],1],n.padding,"channelsLast");return a.Ld(r,[2])}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt),ui=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return ae(a),ie(r),ai(e,t,n,r,a,"max")}}]),n}(oi);ui.className="MaxPooling1D",a.yd.registerClass(ui);var ci=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return ae(a),ie(r),ai(e,t,n,r,a,"avg")}}]),n}(oi);ci.className="AveragePooling1D",a.yd.registerClass(ci);var si=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),null==e.poolSize&&(e.poolSize=[2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(2!==e.strides.length)throw new k("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides];return B(r.poolSize,"poolSize"),B(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,ae(r.dataFormat),ie(r.padding),r.inputSpec=[new mt({ndim:4})],r}

2return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){e=ft(e);var t="channelsFirst"===this.dataFormat?e[2]:e[1],n="channelsFirst"===this.dataFormat?e[3]:e[2];return t=Qr(t,this.poolSize[0],this.padding,this.strides[0]),n=Qr(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[e[0],e[1],t,n]:[e[0],t,n,e[3]]}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){return n.invokeCallHook(e,t),n.poolingFunction(lt(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt),li=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return ae(a),ie(r),ai(e,t,n,r,a,"max")}}]),n}(si);li.className="MaxPooling2D",a.yd.registerClass(li);var fi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return ae(a),ie(r),ai(e,t,n,r,a,"avg")}}]),n}(si);fi.className="AveragePooling2D",a.yd.registerClass(fi);var di=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;if(Object(i.a)(this,n),null==e.poolSize&&(e.poolSize=[2,2,2]),(r=t.call(this,e)).poolSize=Array.isArray(e.poolSize)?e.poolSize:[e.poolSize,e.poolSize,e.poolSize],null==e.strides)r.strides=r.poolSize;else if(Array.isArray(e.strides)){if(3!==e.strides.length)throw new k("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+"".concat(e.strides.length,"."));r.strides=e.strides}else r.strides=[e.strides,e.strides,e.strides];return B(r.poolSize,"poolSize"),B(r.strides,"strides"),r.padding=null==e.padding?"valid":e.padding,r.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,ae(r.dataFormat),ie(r.padding),r.inputSpec=[new mt({ndim:5})],r}return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){e=ft(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=Qr(t,this.poolSize[0],this.padding,this.strides[0]),n=Qr(n,this.poolSize[1],this.padding,this.strides[1]),r

2=Qr(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]]}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){return n.invokeCallHook(e,t),n.poolingFunction(lt(e),n.poolSize,n.strides,n.padding,n.dataFormat)}))}},{key:"getConfig",value:function(){var e={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt),pi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return ae(a),ie(r),ii(e,t,n,r,a,"max")}}]),n}(di);pi.className="MaxPooling3D",a.yd.registerClass(pi);var hi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e)}return Object(o.a)(n,[{key:"poolingFunction",value:function(e,t,n,r,a){return ae(a),ie(r),ii(e,t,n,r,a,"avg")}}]),n}(di);hi.className="AveragePooling3D",a.yd.registerClass(hi);var vi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).inputSpec=[new mt({ndim:3})],r}return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){return[e[0],e[2]]}},{key:"call",value:function(e,t){throw new x}}]),n}(xt),bi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e||{})}return Object(o.a)(n,[{key:"call",value:function(e,t){return Object(a.Wd)((function(){var t=lt(e);return a.Yc(t,1)}))}}]),n}(vi);bi.className="GlobalAveragePooling1D",a.yd.registerClass(bi);var mi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){return Object(i.a)(this,n),t.call(this,e||{})}return Object(o.a)(n,[{key:"call",value:function(e,t){return Object(a.Wd)((function(){var t=lt(e);return a.Uc(t,1)}))}}]),n}(vi);mi.className="GlobalMaxPooling1D",a.yd.registerClass(mi);var gi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,ae(r.dataFormat),r.inputSpec=[new mt({ndim:4})],r}return Object(o.a)(n,[{key:"computeOutputShape",value:function(e){return e=e,"channelsLast"===this.dataFormat?[e[0],e[3]]:[e[0],e[1]]}},{key:"call",value:function(e,t){throw new x}},{key:"getConfig",value:function(){var e={dataFormat:this.dataFormat},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}}]),n}(xt),yi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(){return Object(i.a)(this,n),t.apply(this,arguments)}return Object(o.a)(n,[{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){var t=lt(e);return"channelsLast"===n.dataFormat?a.Yc(t,[1,2]):a.Yc(t,[2,3])}))}}]),n}(gi);yi.className="GlobalAveragePooling2D",a.yd.registerClass(yi);var Oi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(){return Object(i.a)(this,n),t.apply(this,arguments)}return Object(o.a)(n,[{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){var t=lt(e);return"channelsLast"===n.dataFormat?a.Uc(t,[1,2]):a.Uc(t,[2,3])}))}}]),n}(gi);Oi.className="GlobalMaxPooling2D",a.yd.registerClass(Oi);var ki=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).layer=e.layer,r}return Object(o.a)(n,[{key:"build",value:function(e){this.built=!0}},{key:"getWeights",value:function(){return this.layer.getWeights()}},{key:"setWeights",value:function(e){this.layer.setWeights(e)}},{key:"getConfig",value:function(){var e={layer:{className:this.layer.getClassName(),config:this.layer.getConfig()}},t=Object(Wt.a)(Object(h.a)(n.prototype),"getConfig",this).call(this);return Object.assign(e,t),e}},{key:"setFastWeightInitDuringBuild",value:function(e){Object(Wt.a)(Object(h.a)(n.prototype),"setFastWeightInitDuringBuild",this).call(this,e),null!=this.layer&&this.layer.setFastWeightInitDuringBuild(e)}},{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}}],[{key:"fromConfig",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:{},r=t.layer,a=Ut(r,n);delete t.layer;var i={layer:a};return Object.assign(i,t),new e(i)}}]),n}(xt),xi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;return Object(i.a)(this,n),(r=t.call(this,e)).supportsMasking=!0,r}return Object(o.a)(n,[{key:"build",value:function(e){if((e=ft(e)).length<3)throw new k("TimeDistributed layer expects an input shape >= 3D, but received "+"input shape ".concat(JSON.stringify(e)));this.inputSpec=[{shape:e}];var t=[e[0]].concat(e.slice(2));this.layer.built||(this.layer.build(t),this.layer.built=!0),Object(Wt.a)(Object(h.a)(n.prototype),"build",this).call(this,e)}},{key:"computeOutputShape",value:function(e){var t=[(e=ft(e))[0]].concat(e.slice(2)),n=this.layer.computeOutputShape(t),r=e[1];return[n[0],r].concat(n.slice(1))}},{key:"call",value:function(e,t){var n=this;return Object(a.Wd)((function(){return va((function(e,r){return[lt(n.layer.call(e,t)),[]]}),e=lt(e),[],!1,null,null,!1,!0)[1]}))}}]),n}(ki);xi.className="TimeDistributed",a.yd.registerClass(xi);var wi=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r;Object(i.a)(this,n),r=t.call(this,e);var a=e.layer.getConfig(),o={};o.className=e.layer.getClassName(),o.config=a,r.forwardLayer=Ut(o),a.goBackwards=!0!==a.goBackwards;var u,c={};if(c.className=e.layer.getClassName(),c.config=a,r.backwardLayer=Ut(c),r.forwardLayer.name="forward_"+r.forwardLayer.name,r.backwardLayer.name="backward_"+r.backwardLayer.name,r.mergeMode=void 0===e.mergeMode?"concat":e.mergeMode,u=r.mergeMode,z(ne,"BidirectionalMergeMode",u),e.weights)throw new x("weights support is not implemented for Bidirectional layer yet.");return r._stateful=e.layer.stateful,r.returnSequences=e.layer.returnSequences,r.returnState=e.layer.returnState,r.supportsMasking=!0,r._trainable=!0,r.inputSpec=e.layer.inputSpec,r.numConstants=null,r}return Object(o.a)(n,[{key:"getWeights",value:function(){return this.forwardLayer.getWeights().concat(this.backwardLayer.getWeights())}},{key:"setWeights",value:function(e){var 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t=a.de.getArrayFromDType(e.dtype,a.de.sizeFromShape(e.shape));return this.makeOutput(t,e.shape,e.dtype)}},{key:"linspace",value:function(e,t,n){return a.bc.linspaceImpl(e,t,n)}},{key:"scatter",value:function(e,t,n,r,i,o,u,c,s,l){var f=[r/i,i],d=this.readSync(e.dataId),p=this.readSync(t.dataId);if(0===r)return a.Rd([],n,t.dtype);var h=new a.Pb(f,t.dtype);h.values.fill(this.readSync(s.dataId)[0]);for(var v=0;v<o;v++){for(var b=[],m=0,g=0;g<u;g++){var y=d[v*u+g];b.push(y),m+=y*c[g]}if(m<0||m>=r/i)throw new Error("Invalid indices: ".concat(b," does not index into ").concat(n));for(var O=0;O<i;O++)l?h.values[m*i+O]+=p[v*i+O]:h.values[m*i+O]=0===t.rank?p[0]:p[v*i+O]}return h.toTensor().reshape(n)}}]),n}(a.Z);function Li(e,t,n){return function(r){var i=r.inputs,o=r.attrs,u=r.backend,c=i.x;if(Ti(c,e),"string"===c.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");for(var s=u,l=s.data.get(c.dataId).values,f=a.de.sizeFromShape(c.shape),d=n||c.dtype,p=a.de.getArrayFromDType(d,f),h=0;h<f;++h)p[h]=t(l[h],o);return s.makeTensorInfo(c.shape,d,p)}}function zi(e,t,n){return function(r){var a=r.inputs,i=r.attrs,o=r.backend,u=a.x;if(Ti(u,e),"string"===u.dtype||"string"===n)throw new Error("unaryKernelFunc does not support string input/output");var c=o,s=c.data.get(u.dataId).values,l=n||u.dtype,f=t(s,l,i);return c.makeTensorInfo(u.shape,l,f)}}Object(a.qd)("cpu",(function(){return new Mi}),1);var Pi=Li(a.H,(function(e){return e>=0?e:Math.exp(e)-1})),Bi={kernelName:a.H,backendName:"cpu",kernelFunc:Pi};

2function Wi(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 Ui={kernelName:a.U,backendName:"cpu",kernelFunc:Wi};function Vi(e){return function(t,n,r,i,o){var u=a.bc.assertAndGetBroadcastShape(t,n),c=u.length,s=a.de.computeStrides(u),l=a.de.sizeFromShape(u),f=a.de.getTypedArrayFromDType(o,l),d=t.length,p=n.length,h=a.de.computeStrides(t),v=a.de.computeStrides(n),b=a.bc.getBroadcastDims(t,u),m=a.bc.getBroadcastDims(n,u);if(b.length+m.length===0)for(var g=0;g<f.length;++g)f[g]=e(r[g%r.length],i[g%i.length]);else for(var y=function(t){var n=a.de.indexToLoc(t,c,s),o=n.slice(-d);b.forEach((function(e){return o[e]=0}));var u=a.de.locToIndex(o,d,h),l=n.slice(-p);m.forEach((function(e){return l[e]=0}));var g=a.de.locToIndex(l,p,v);f[t]=e(r[u],i[g])},O=0;O<f.length;++O)y(O);return[f,u]}}var Gi=Vi((function(e,t){return e<0?t*e:e}));function Hi(e){var t=e.inputs,n=e.backend,r=t.x,a=t.alpha;Ti([r,a],"prelu");var i=n.data.get(r.dataId).values,o=n.data.get(a.dataId).values,u=Gi(r.shape,a.shape,i,o,r.dtype),c=Object(f.a)(u,2),s=c[0],l=c[1];return n.makeTensorInfo(l,r.dtype,s)}var qi={kernelName:a.qb,backendName:"cpu",kernelFunc:Hi},Ki=Li(a.tb,(function(e){return Math.max(0,e)})),Xi={kernelName:a.tb,backendName:"cpu",kernelFunc:Ki},Yi=Li(a.ub,(function(e){return Math.min(Math.max(0,e),6)})),Qi={kernelName:a.ub,backendName:"cpu",kernelFunc:Yi};function Ji(e,t,n,r){if("linear"===n)return Wi({inputs:{x:t},backend:e});if("relu"===n)return Ki({inputs:{x:t},backend:e});if("elu"===n)return Pi({inputs:{x:t},backend:e});if("relu6"===n)return Yi({inputs:{x:t},backend:e});if("prelu"===n)return Hi({inputs:{x:t,alpha:r},backend:e});throw new Error("Activation ".concat(n," has not been implemented for the CPU backend."))}function Zi(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,u=n.makeTensorInfo(r.shape,"complex64");return n.data.get(u.dataId).complexTensorInfos={real:n.makeTensorInfo(r.shape,"float32",i),imag:n.makeTensorInfo(a.shape,"float32",o)},u}var $i={kernelName:a.p,backendName:"cpu",kernelFunc:Zi};function eo(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 to={kernelName:a.rb,backendName:"cpu",kernelFunc:eo};function no(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=r.dtype;if("complex64"===o){if("complex64"===i.dtype)return Wi({inputs:{x:i},backend:n});var u=a.ie(i.shape),c=no({inputs:{x:i},backend:n,attrs:{dtype:"float32"}}),s=Zi({inputs:{real:c,imag:u},backend:n});return u.dispose(),n.disposeIntermediateTensorInfo(c),s}if("complex64"===i.dtype){var l=eo({inputs:{input:i},backend:n}),d=no({inputs:{x:l},backend:n,attrs:{dtype:o}});return n.disposeIntermediateTensorInfo(l),d}if(!a.de.hasEncodingLoss(i.dtype,o)){var p=Wi({inputs:{x:i},backend:n});return{dataId:p.dataId,shape:p.shape,dtype:o}}if("int32"===o){var h=n.data.get(i.dataId).values,v=Int32Array.from(h);return n.makeTensorInfo(i.shape,"int32",v)}if("bool"===o){var b=n.data.get(i.dataId).values,m=a.de.toTypedArray([0],i.dtype),g=Vi((function(e,t){return e!==t?1:0}))(i.shape,[],b,m,"bool"),y=Object(f.a)(g,2),O=y[0],k=y[1];return n.makeTensorInfo(k,"bool",O)}throw new Error("Error in Cast: failed to cast ".concat(i.dtype," to ").concat(o))}var ro={kernelName:a.m,backendName:"cpu",kernelFunc:no};function ao(e,t,n,r){return null==n?function(n){var a=n.inputs,i=n.backend,o=a.a,u=a.b,c=i;Ti([o,u],e);var s=c.data.get(o.dataId).values,l=c.data.get(u.dataId).values,d=r||o.dtype,p=t(o.shape,u.shape,s,l,d),h=Object(f.a)(p,2),v=h[0],b=h[1];return c.makeTensorInfo(b,d,v)}:function(e){var a=e.inputs,i=e.backend,o=a.a,u=a.b,c=i;if("complex64"===o.dtype||"complex64"===u.dtype){var s=no({inputs:{x:o},backend:c,attrs:{dtype:"complex64"}}),l=c.data.get(s.dataId),d=l.complexTensorInfos.real,p=l.complexTensorInfos.imag,h=c.data.get(d.dataId).values,v=c.data.get(p.dataId).values,b=no({inputs:{x:u},backend:c,attrs:{dtype:"complex64"}}),m=c.data.get(b.dataId),g=m.complexTensorInfos.real,y=m.complexTensorInfos.imag,O=c.data.get(g.dataId).values,k=c.data.get(y.dataId).values,x=n(o.shape,u.shape,h,v,O,k),w=Object(f.a)(x,3),j=w[0],S=w[1],N=w[2],I=c.makeTensorInfo(N,"float32",j),C=c.makeTensorInfo(N,"float32",S),E=Zi({input

2s:{real:I,imag:C},backend:c});return c.disposeIntermediateTensorInfo(s),c.disposeIntermediateTensorInfo(b),c.disposeIntermediateTensorInfo(I),c.disposeIntermediateTensorInfo(C),E}var T=c.data.get(o.dataId).values,A=c.data.get(u.dataId).values,R=r||o.dtype,_=t(o.shape,u.shape,T,A,R),D=Object(f.a)(_,2),F=D[0],M=D[1];return c.makeTensorInfo(M,R,F)}}function io(e){return function(t,n,r,i,o,u){var c=a.bc.assertAndGetBroadcastShape(t,n),s=a.de.sizeFromShape(c),l=c.length,f=a.de.computeStrides(c),d=a.de.getTypedArrayFromDType("float32",s),p=a.de.getTypedArrayFromDType("float32",s),h=a.bc.getBroadcastDims(t,c),v=a.bc.getBroadcastDims(n,c),b=a.bc.mergeRealAndImagArrays(r,i),m=a.bc.mergeRealAndImagArrays(o,u),g=t.length,y=a.de.computeStrides(t),O=n.length,k=a.de.computeStrides(n);if(h.length+v.length===0)for(var x=0;x<d.length;x++){var w=x%b.length,j=x%m.length,S=e(b[2*w],b[2*w+1],m[2*j],m[2*j+1]);d[x]=S.real,p[x]=S.imag}else for(var N=function(t){var n=a.de.indexToLoc(t,l,f),r=n.slice(-g);h.forEach((function(e){return r[e]=0}));var i=a.de.locToIndex(r,g,y),o=n.slice(-O);v.forEach((function(e){return o[e]=0}));var u=a.de.locToIndex(o,O,k),c=e(b[2*i],b[2*i+1],m[2*u],m[2*u+1]);d[t]=c.real,p[t]=c.imag},I=0;I<d.length;I++)N(I);return[d,p,c]}}var oo=Vi((function(e,t){return e+t})),uo=io((function(e,t,n,r){return{real:e+n,imag:t+r}})),co=ao(a.d,oo,uo),so={kernelName:a.d,backendName:"cpu",kernelFunc:co};function lo(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=r.shape,u=a.de.sizeFromShape(i.shape),c=a.de.inferFromImplicitShape(o,u),s=a.de.sizeFromShape(c);a.de.assert(u===s,(function(){return"The new shape (".concat(c,") has ").concat(s," elements and the old ")+"shape (".concat(i.shape,") has ").concat(u," elements. The new shape and old ")+"shape must have the same number of elements."})),n.incRef(i.dataId);var l=n.data.get(i.dataId);if(null!=l.complexTensorInfos){var f=l.complexTensorInfos.real,d=l.complexTensorInfos.imag;f.shape=c,d.shape=c}return{dataId:i.dataId,shape:c,dtype:i.dtype}}var fo={kernelName:a.vb,backendName:"cpu",kernelFunc:lo};function po(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.a,o=t.b,u=r.transposeA,c=r.transposeB;Ti([i,o],"matMul");var s=i.shape.length,l=o.shape.length,d=u?i.shape[s-2]:i.shape[s-1],p=c?o.shape[l-1]:o.shape[l-2],h=u?i.shape[s-1]:i.shape[s-2],v=c?o.shape[l-2]:o.shape[l-1],b=i.shape.slice(0,-2),m=o.shape.slice(0,-2),g=a.de.sizeFromShape(b),y=a.de.sizeFromShape(m),O=g===y||1===g||1===y;a.de.assert(s>=2&&l>=2&&O,(function(){return"Error in matMul: the input batch dimensions must either be the same or at least one input batch dimension must be 1. Got input "+"batch dimensions of (".concat(b,") and (").concat(m,").")}));var k=(g>y?i.shape.slice(0,-2):o.shape.slice(0,-2)).concat([h,v]);a.de.assert(d===p,(function(){return"Error in matMul: inner shapes (".concat(d,") and (")+"".concat(p,") of Tensors with shapes ").concat(i.shape," and ")+"".concat(o.shape," and transposeA=").concat(u)+" and transposeB=".concat(c," must match.")}));

2for(var x=c?[y,v,p]:[y,p,v],w=lo({inputs:{x:i},backend:n,attrs:{shape:u?[g,d,h]:[g,h,d]}}),j=lo({inputs:{x:o},backend:n,attrs:{shape:x}}),S=u?w.shape[1]:w.shape[2],N=u?w.shape[2]:w.shape[1],I=c?j.shape[1]:j.shape[2],C=Math.max(g,y),E=n.data.get(w.dataId).values,T=n.data.get(j.dataId).values,A=a.de.computeStrides(w.shape),R=a.de.computeStrides(j.shape),_=u?[A[0],1,A[1]]:[A[0],A[1],1],D=Object(f.a)(_,3),F=D[0],M=D[1],L=D[2],z=c?[1,R[1],R[0]]:[R[1],1,R[0]],P=Object(f.a)(z,3),B=P[0],W=P[1],U=P[2],V=N*I,G=Object(a.gc)([C,N,I],w.dtype),H=G.values,q=n.blockSize,K=0;K<C;K++)for(var X=0;X<N;X+=q)for(var Y=0;Y<I;Y+=q)for(var Q=0;Q<S;Q+=q)for(var J=Math.min(X+q,N),Z=Math.min(Y+q,I),$=Math.min(Q+q,S),ee=X;ee<J;ee++)for(var te=Y;te<Z;te++){for(var ne=0,re=Q;re<$;re++){var ae=Math.min(K,g-1)*F,ie=Math.min(K,y-1)*U;ne+=E[ae+ee*M+re*L]*T[re*B+te*W+ie]}H[K*V+(ee*I+te)]+=ne}return n.disposeIntermediateTensorInfo(w),n.disposeIntermediateTensorInfo(j),n.makeTensorInfo(k,G.dtype,G.values)}var ho={kernelName:a.l,backendName:"cpu",kernelFunc:po};var vo={kernelName:a.Sb,backendName:"cpu",kernelFunc:function(e){var t,n,r,a=e.inputs,i=e.backend,o=e.attrs,u=a.a,c=a.b,s=a.bias,l=a.preluActivationWeights,f=o.transposeA,d=o.transposeB,p=o.activation,h=[];t=po({inputs:{a:u,b:c},attrs:{transposeA:f,transposeB:d},backend:i}),s&&(n=co({inputs:{a:t,b:s},backend:i}),h.push(t),t=n),p&&(r=Ji(i,t,p,l),h.push(t),t=r);for(var v=0,b=h;v<b.length;v++){var m=b[v];i.disposeIntermediateTensorInfo(m)}return t}};function bo(e){for(var t=new Float32Array(e.length),n=0;n<e.length;++n)t[n]=Math.abs(e[n]);return t}var mo={kernelName:a.a,backendName:"cpu",kernelFunc:function(e){var t=e.inputs.x,n=e.backend,r=new Float32Array(a.de.sizeFromShape(t.shape));if("complex64"!==t.dtype)r=bo(n.data.get(t.dataId).values);else for(var i=n.data.get(t.dataId),o=i.complexTensorInfos.real,u=i.complexTensorInfos.imag,c=n.data.get(o.dataId).values,s=n.data.get(u.dataId).values,l=0;l<c.length;l++){var f=c[l],d=s[l];r[l]=Math.hypot(f,d)}return n.makeOutput(r,t.shape,"float32")}},go=Li(a.b,(function(e){return Math.acos(e)})),yo={kernelName:a.b,backendName:"cpu",kernelFunc:go},Oo=Li(a.c,(function(e){return Math.acosh(e)})),ko={kernelName:a.c,backendName:"cpu",kernelFunc:Oo},xo=Li(a.e,(function(e){return Math.asin(e)})),wo={kernelName:a.e,backendName:"cpu",kernelFunc:xo},jo=Li(a.f,(function(e){return Math.asinh(e)})),So={kernelName:a.f,backendName:"cpu",kernelFunc:jo},No=Li(a.g,(function(e){return Math.atan(e)})),Io={kernelName:a.g,backendName:"cpu",kernelFunc:No},Co=Li(a.i,(function(e){return Math.atanh(e)})),Eo={kernelName:a.i,backendName:"cpu",kernelFunc:Co};function To(e,t,n,r,i,o){for(var u=i.strideHeight,c=i.strideWidth,s=i.dilationHeight,l=i.dilationWidth,f=i.effectiveFilterHeight,d=i.effectiveFilterWidth,p=i.padInfo.top,h=i.padInfo.left,v="max"===o?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,b=Object(a.gc)(i.outShape,n),m=b.values,g=i.outShape[1]*i.outShape[2]*i.outShape[3],y=i.outShape[2]*i.outShape[3],O=i.outShape[3],k=0;k<i.batchSize;++k)for(var x=k*g,w=k*r[0],j=0;j<i.inChannels;++j)for(var S=0;S<i.outHeight;++S)for(var N=S*u-p,I=Math.max(0,N),C=Math.min(i.inHeight,f+N),E=x+S*y,T=0;T<i.outWidth;++T){for(var A=T*c-h,R=Math.max(0,A),_=Math.min(i.inWidth,d+A),D=v,F=0,M=0,L=I;L<C;L+=s){for(var z=w+L*r[1],P=R;P<_;P+=l){var B=e[z+P*r[2]+j];"max"===o&&B>D?D=B:"avg"===o&&(F+=B,M++)}if(isNaN(D))break}m[E+T*O+j]="avg"===o?F/M:D}return b}function Ao(e,t,n,r){for(var i=arguments.length>4&&void 0!==arguments[4]&&arguments[4],o=arguments.length>5&&void 0!==arguments[5]&&arguments[5],u=Object(a.gc)(r.outShape,"int32"),c=r.strideHeight,s=r.strideWidth,l=r.dilationHeight,f=r.dilationWidth,d=r.effectiveFilterHeight,p=r.effectiveFilterWidth,h=r.padInfo.top,v=r.padInfo.left,b=Object(a.gc)(t,n,e),m=0;m<r.batchSize;++m)for(var g=0;g<r.inChannels;++g)for(var y=0;y<r.outHeight;++y){for(var O=y*c-h,k=O;k<0;)k+=l;for(var x=Math.min(r.inHeight,d+O),w=0;w<r.outWidth;++w){for(var j=w*s-v,S=j;S<0;)S+=f;for(var N=Math.min(r.inWidth,p+j),I=Number.NEGATIVE_INFINITY,C=-1,E=k;E<x;E+=l)for(var T=E-O,A=S;A<N;A+=f){var R=A-j,_=b.get(m,E,A,g);_>I&&(I=_,C=i?o?((m*r.inHeight+E)*r.inWidth+A)*r.inChannels+g:(E*r.inWidth+A)*r.inChannels+g:T*p+R)}u.set(C,m,y,w,g)}}return u}var Ro={kernelName:a.j,backendName:"cpu",kernelFunc:function(e){var t=e.input

2s,n=e.backend,r=e.attrs,i=t.x;Ti(i,"avgPool");var o=r.filterSize,u=r.strides,c=r.pad,s=r.dimRoundingMode;a.de.assert(a.bc.eitherStridesOrDilationsAreOne(u,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(u," and dilations '").concat(1,"'")}));var l,f=a.bc.computePool2DInfo(i.shape,o,u,1,c,s);if(1===f.filterWidth&&1===f.filterHeight&&a.de.arraysEqual(f.inShape,f.outShape))l=Wi({inputs:{x:i},backend:n});else{var d=n.data.get(i.dataId).values,p=a.de.computeStrides(i.shape),h=To(d,i.shape,i.dtype,p,f,"avg");l=n.makeTensorInfo(f.outShape,i.dtype,h.values)}return l}};var _o={kernelName:a.k,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.dy,o=t.input,u=o;Ti([i,o],"avgPoolBackprop");for(var c=r.filterSize,s=r.strides,l=r.pad,f=a.bc.computePool2DInfo(u.shape,c,s,1,l),d=f.strideHeight,p=f.strideWidth,h=f.filterHeight,v=f.filterWidth,b=f.dilationHeight,m=f.dilationWidth,g=f.effectiveFilterHeight,y=f.effectiveFilterWidth,O=y-1-f.padInfo.left,k=g-1-f.padInfo.top,x=Object(a.gc)(u.shape,"float32"),w=1/(h*v),j=n.data.get(i.dataId).values,S=Object(a.gc)(i.shape,"float32",j),N=0;N<f.batchSize;++N)for(var I=0;I<f.inChannels;++I)for(var C=0;C<f.inHeight;++C)for(var E=0;E<f.inWidth;++E){for(var T=C-k,A=E-O,R=0,_=0;_<g;_+=b){var D=(T+_)/d;if(!(D<0||D>=f.outHeight||Math.floor(D)!==D))for(var F=0;F<y;F+=m){var M=(A+F)/p;if(!(M<0||M>=f.outWidth||Math.floor(M)!==M))R+=S.get(N,D,M,I)}}x.set(R*w,N,C,E,I)}return n.makeTensorInfo(x.shape,x.dtype,x.values)}};var Do={kernelName:a.Q,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=t.scale,u=t.offset,c=t.mean,s=t.variance;a.de.assert(c.shape.length===s.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),a.de.assert(null==u||c.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),a.de.assert(null==o||c.shape.length===o.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."})),Ti([i,c,s,o,u],"batchNorm");var l=r.varianceEpsilon;null==l&&(l=.001);for(var f=n.data.get(i.dataId).values,d=n.data.get(c.dataId).values,p=n.data.get(s.dataId).values,h=o?n.data.get(o.dataId).values:new Float32Array([1]),v=u?n.data.get(u.dataId).values:new Float32Array([0]),b=new Float32Array(f.length),m=v.length,g=h.length,y=p.length,O=d.length,k=0,x=0,w=0,j=0,S=0;S<f.length;++S)b[S]=v[k++]+(f[S]-d[x++])*h[w++]/Math.sqrt(p[j++]+l),k>=m&&(k=0),x>=O&&(x=0),w>=g&&(w=0),j>=y&&(j=0);return n.makeTensorInfo(i.shape,i.dtype,b)}};function Fo(e){return function(t,n,r){for(var i=a.de.getTypedArrayFromDType(n,t.length),o=0;o<t.length;++o)i[o]=e(t[o],r);return i}}var Mo=Fo((function(e){return Math.ceil(e)})),Lo=zi(a.n,Mo),zo={kernelName:a.n,backendName:"cpu",kernelFunc:Lo},Po=Li(a.o,(function(e,t){var n=t;return e>n.clipValueMax?n.clipValueMax:e<n.clipValueMin?n.clipValueMin:e})),Bo={kernelName:a.o,backendName:"cpu",kernelFunc:Po};function Wo(e){var t=e.inputs,n=e.backend,r=t.input,a=n.data.get(r.dataId).complexTensorInfos.imag,i=n.data.get(a.dataId).values;return n.makeTensorInfo(a.shape,a.dtype,i)}var Uo={kernelName:a.V,backendName:"cpu",kernelFunc:Wo};function Vo(e){var t=e.inputs,n=e.backend,r=e.attrs.axis,i=a.de.parseAxisParam(r,t[0].shape)[0],o=a.bc.computeOutShape(t.map((function(e){return e.shape})),i);if(0===a.de.sizeFromShape(o))return n.makeTensorInfo(o,t[0].dtype,[]);var u=t.filter((function(e){return a.de.sizeFromShape(e.shape)>0}));if(1===u.length)return u[0];var c=u.map((function(e){return e.shape}));if(a.bc.assertParamsConsistent(c,i),"complex64"===u[0].dtype){var s=u.map((function(e){return eo({inputs:{input:e},backend:n})})),l=u.map((function(e){return Wo({inputs:{input:e},backend:n})})),f=Vo({inputs:s,backend:n,attrs:{axis:i}}),d=Vo({inputs:l,backend:n,attrs:{axis:i}}),p=Zi({inputs:{real:f,imag:d},backend:n});return s.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),l.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),p}var h=u.map((function(e){var t=a.de.sizeFromShape(e.shape.slice(i));return lo({inputs:{x:e},backend:n,attrs:{shape:[-1,t]}})}));o=a.bc.computeOutShape(h.map((function(e){return e.shape})),1);var v=a.de.getTypedArrayFromDType(u[0].dtype,a.de.sizeFromShape(o));if(1===h[0].shape[0]){var b=0;h.forEach((function(e){var t=n.data.get(e.dataId).values,r=a.de.sizeFromShape(e.shape);v.set(t,b),b+=r}))}else{var m=0;h.forEach((function(e){for(var t=n.data.get(e.dataId).values,r=0,a=0;a<e.shape[0];++a)for(var i=a*o[1]+m,u=0;u<e.shape[1];++u)v[i+u]=t[r++];m+=e.shape[1]}))}var g=a.bc.computeOutShape(u.map((function(e){return e.shape})),i),y=n.makeTensorInfo(g,t[0].dtype,v);return h.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),y}var Go={kernelName:a.q,backendName:"cpu",kernelFunc:Vo};function Ho(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=t.filter,u=r.strides,c=r.pad,s=r.dataFormat,l=r.dilations,f=r.dimRoundingMode;Ti([i,o],"conv2d");for(var d=a.bc.convertConv2DDataFormat(s),p=a.bc.computeConv2DInfo(i.shape,o.shape,u,l,c,f,!1,d),h=p.filterHeight,v=p.filterWidth,b=p.dilationHeight,m=p.dilationWidth,g=p.padInfo.left,y=p.padInfo.top,O="channelsLast"===p.dataFormat,k=new a.Pb(p.outShape,i.dtype),x=a.de.computeStrides(i.shape),w=a.de.computeStrides(o.shape),j=x[0],S=O?x[1]:x[2],N=O?x[2]:1,I=O?1:x[1],C=k.strides[0],E=O?k.strides[1]:k.strides[2],T=O?k.strides[2]:1,A=O?1:k.strides[1],R=n.data.get(i.dataId).values,_=n.data.get(o.dataId).values,D=k.values,F=0;F<p.batchSize;++F)for(var M=F*j,L=F*C,z=0;z<p.outHeight;++z)for(var P=L+z*E,B=z*p.strideHeight-y,W=0;W<h;++W){var U=B+W*b;if(!(U<0||U>=p.inHeight))for(var V=W*w[0],G=M+U*S,H=0;H<p.outWidth;++H)for(var q=P+H*T,K=H*p.strideWidth-g,X=0;X<v;++X){var Y=K+X*m;if(!(Y<0||Y>=p.inWidth))for(var Q=G+Y*N,J=V+X*w[1],Z=0;Z<p.inChannels;++Z){for(var $=R[Q+Z*I],ee=0;ee<p.outChannels;++ee)D[q+ee*A]+=$*_[J+ee];J+=p.outChannels}}}return n.makeTensorInfo(k.shape,k.dtype,D)}var qo={kernelName:a.r,backendName:"cpu",kernelFunc:Ho};var Ko={kernelName:a.s,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=t.dy,u=r.strides,c=r.pad,s=r.dataFormat,l=r.dimRoundingMode,f=r.filterShape;Ti([i,o],"conv2dBackpropFilter");for(var d=a.bc.convertConv2DDataFormat(s),p=a.bc.computeConv2DInfo(i.shape,f,u,1,c,l,!1,d),h=p.strideHeight,v=p.strideWidth,b=p.filterHeight,m=p.filterWidth,g="channelsLast"===p.dataFormat,y=new a.Pb(p.filterShape,"float32"),O=p.padInfo.left,k=p.padInfo.top,x=n.data.get(i.dataId).values,w=n.data.get(o.dataId).values,j=new a.Pb(i.shape,i.dtype,x),S=new a.Pb(o.shape,o.dtype,w),N=0;N<b;++N)for(var I=Math.max(0,Math.ceil((k-N)/h)),C=Math.min(p.outHeight,(p.inHeight+k-N)/h),E=0;E<m;++E)for(var T=Math.max(0,Math.ceil((O-E)/v)),A=Math.min(p.outWidth,(p.inWidth+O-E)/v),R=0;R<p.inChannels;++R)for(var _=0;_<p.outChannels;++_){for(var D=0,F=0;F<p.batchSize;++F)for(var M=I;M<C;++M)for(var L=N+M*h-k,z=T;z<A;++z){var 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M=N-1-b.padInfo.top,L=I-1-b.padInfo.left,z="channelsLast"===v,P=m.strides[0],B=z?m.strides[1]:m.strides[2],W=z?m.strides[2]:1,U=z?1:m.strides[1],V=h[0],G=z?h[1]:h[2],H=z?h[2]:1,q=z?1:h[1],K=0;K<S;++K)for(var X=0;X<C;++X)for(var Y=0;Y<E;++Y)for(var Q=Y-M,J=Math.max(0,Math.ceil(Q/D)),Z=Math.min(R,(N+Q)/D),$=0;$<T;++$){for(var ee=$-L,te=Math.max(0,Math.ceil(ee/F)),ne=Math.min(_,(I+ee)/F),re=0,ae=J;ae<Z;++ae)for(var ie=ae*D-Q,oe=te;oe<ne;++oe)for(var ue=V*K+G*ae+H*oe,ce=x*(N-1-ie)+w*(I-1-(oe*F-ee))+j*X,se=0;se<A;++se){re+=y[ue+q*se]*O[ce+se]}g[P*K+B*Y+W*$+U*X]=re}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var Yo={kernelName:a.u,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=t.filter,u=r.strides,c=r.pad,s=r.dilations;Ti([i,o],"conv3d");for(var l=a.bc.computeConv3DInfo(i.shape,o.shape,u,s,c),f=l.filterDepth,d=l.filterHeight,p=l.filterWidth,h=l.dilationDepth,v=l.dilationHeight,b=l.dilationWidth,m=l.padInfo,g=m.front,y=m.left,O=m.top,k=new a.Pb(l.outShape,i.dtype),x=n.data.get(i.dataId).values,w=n.data.get(o.dataId).values,j=k.values,S=a.de.computeStrides(i.shape),N=a.de.computeStrides(o.shape),I=0;I<l.batchSize;++I)for(var C=I*S[0],E=I*k.strides[0],T=0;T<l.outDepth;++T)for(var A=E+T*k.strides[1],R=T*l.strideDepth-g,_=0;_<f;++_){var D=R+_*h;if(!(D<0||D>=l.inDepth))for(var F=_*N[0],M=C+D*S[1],L=0;L<l.outHeight;++L)for(var z=A+L*k.strides[2],P=L*l.strideHeight-O,B=0;B<d;++B){var W=P+B*v;if(!(W<0||W>=l.inHeight))for(var U=F+B*N[1],V=M+W*S[2],G=0;G<l.outWidth;++G)for(var H=z+G*l.outChannels,q=G*l.strideWidth-y,K=0;K<p;++K){var X=q+K*b;if(!(X<0||X>=l.inWidth))for(var Y=U+K*N[2],Q=V+X*l.inChannels,J=Y,Z=0;Z<l.inChannels;++Z){for(var $=x[Q+Z],ee=0;ee<l.outChannels;++ee)j[H+ee]+=$*w[J+ee];J+=l.outChannels}}}}return n.makeTensorInfo(k.shape,k.dtype,k.values)}};var Qo={kernelName:a.v,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=t.dy,u=r.strides,c=r.pad,s=r.filterShape;Ti([i,o],"conv3dBackpropFilterV2");for(var l=a.de.computeStrides(i.shape),d=a.de.computeStrides(o.shape),p=a.bc.computeConv3DInfo(i.shape,s,u,1,c),h=p.strideDepth,v=p.strideHeight,b=p.strideWidth,m=p.filterDepth,g=p.filterHeight,y=p.filterWidth,O=new a.Pb(p.filterShape,"float32"),k=O.values,x=Object(f.a)(O.strides,4),w=x[0],j=x[1],S=x[2],N=x[3],I=n.data.get(o.dataId).values,C=Object(f.a)(d,4),E=C[0],T=C[1],A=C[2],R=C[3],_=n.data.get(i.dataId).values,D=Object(f.a)(l,4),F=D[0],M=D[1],L=D[2],z=D[3],P=p.padInfo.front,B=p.padInfo.left,W=p.padInfo.top,U=0;U<m;++U)for(var V=Math.max(0,Math.ceil((P-U)/h)),G=Math.min(p.outDepth,(p.inDepth+P-U)/h),H=U*w,q=0;q<g;++q)for(var K=Math.max(0,Math.ceil((W-q)/v)),X=Math.min(p.outHeight,(p.inHeight+W-q)/v),Y=q*j+H,Q=0;Q<y;++Q)for(var J=Math.max(0,Math.ceil((B-Q)/b)),Z=Math.min(p.outWidth,(p.inWidth+B-Q)/b),$=Q*S+Y,ee=0;ee<p.inChannels;++ee)for(var te=ee*N+$,ne=0;ne<p.outChannels;++ne){for(var re=0,ae=0;ae<p.batchSize;++ae)for(var ie=ae*F,oe=ae*E,ue=V;ue<G;++ue)for(var ce=(U+ue*h-P)*M+ie,se=ue*T+oe,le=K;le<X;++le)for(var fe=(q+le*v-W)*L+ce,de=le*A+se,pe=J;pe<Z;++pe){var he=pe*R+de;re+=_[(Q+pe*b-B)*z+fe+ee]*I[he+ne]}k[te+ne]=re}return n.makeTensorInfo(O.shape,O.dtype,O.values)}};var Jo={kernelName:a.w,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.dy,o=t.filter,u=r.pad,c=r.strides,s=r.inputShape;Ti([i],"conv3dBackpropInputV2");for(var l=a.de.computeStrides(i.shape),d=a.de.computeStrides(o.shape),p=a.bc.computeConv3DInfo(s,o.shape,c,1,u),h=new a.Pb(p.inShape,"float32"),v=h.values,b=Object(f.a)(h.strides,4),m=b[0],g=b[1],y=b[2],O=b[3],k=n.data.get(i.dataId).values,x=Object(f.a)(l,4),w=x[0],j=x[1],S=x[2],N=x[3],I=n.data.get(o.dataId).values,C=Object(f.a)(d,4),E=C[0],T=C[1],A=C[2],R=C[3],_=p.batchSize,D=p.filterDepth,F=p.filterHeight,M=p.filterWidth,L=p.inChannels,z=p.inDepth,P=p.inHeight,B=p.inWidth,W=p.outChannels,U=p.outDepth,V=p.outHeight,G=p.outWidth,H=p.strideDepth,q=p.strideHeight,K=p.strideWidth,X=D-1-p.padInfo.front,Y=F-1-p.padInfo.top,Q=M-1-p.padInfo.left,J=0;J<_;++J)for(var Z=0;Z<L;++Z)for(var $=0;$<z;++$)for(var ee=$-X,te=Math.max(0,Math.ceil(ee/H)),ne=Math.min(U,(D+ee)/H),re=0;re<P;++re)for(var ae=re-Y,ie=Math.max(0,Math.ceil(ae/q)),oe=Math.min(V,(F+ae)/q),ue=0;ue<B;++ue){for(var ce=ue-Q,se=Math.max(0,Math.ceil(ce/K)),le=Math.min(G,(M+ce)/K),fe=0,de=te;de<ne;++de)for(var pe=de*H-ee,he=ie;he<oe;++he)for(var ve=he*q-ae,be=se;be<le;++be)for(var me=w*J+j*de+S*he+N*be,ge=E*(D-1-pe)+T*(F-1-ve)+A*(M-1-(be*K-ce))+R*Z,ye=0;ye<W;++ye){fe+=k[me+ye]*I[ge+ye]}v[m*J+g*$+y*re+O*ue+Z]=fe}return n.makeTensorInfo(h.shape,h.dtype,h.values)}},Zo=Li(a.x,(function(e){return Math.cos(e)})),$o={kernelName:a.x,backendName:"cpu",kernelFunc:Zo},eu=Li(a.y,(function(e){return Math.cosh(e)})),tu={kernelName:a.y,backendName:"cpu",kernelFunc:eu};function nu(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=t.filter,u=r.strides,c=r.pad,s=r.dilations,l=r.dimRoundingMode;Ti([i,o],"depthwiseConv2DNative");var f=a.de.computeStrides(i.shape),d=a.de.computeStrides(o.shape),p=s;null==p&&(p=[1,1]),a.de.assert(a.bc.eitherStridesOrDilationsAreOne(u,p),(function(){return"Error in depthwiseConv2d: Either strides or dilations must be "+"1. Got strides ".concat(u," and dilations '").concat(p,"'")}));for(var h=a.bc.computeConv2DInfo(i.shape,o.shape,u,p,c,l,!0),v=h.filterHeight,b=h.filterWidth,m=h.dilationHeight,g=h.dilationWidth,y=h.padInfo,O=y.left,k=y.top,x=h.outChannels/h.inChannels,w=new a.Pb(h.outShape,i.dtype),j=n.data.get(i.dataId).values,S=n.data.get(o.dataId).values,N=w.values,I=0;I<h.batchSize;++I)for(var C=I*f[0],E=I*w.strides[0],T=0;T<h.outHeight;++T)for(var A=E+T*w.strides[1],R=T*h.strideHeight-O,_=0;_<v;++_){var D=R+_*m;if(!(D<0||D>=h.inHeight))for(var F=_*d[0],M=C+D*f[1],L=0;L<h.outWidth;++L)for(var z=A+L*w.strides[2],P=L*h.strideWidth-k,B=0;B<b;++B){var W=P+B*g;if(!(W<0||W>=h.inWidth))for(var U=F+B*d[1],V=M+W*h.inChannels,G=z,H=U,q=0;q<h.inChannels;++q){for(var K=j[V+q],X=0;X<x;++X)N[G+X]+=K*S[H+X];G+=x,H+=x}}}return n.makeTensorInfo(w.shape,w.dtype,w.values)}var ru={kernelName:a.A,backendName:"cpu",kernelFunc:nu};var au={kernelName:a.B,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=t.dy,u=r.strides,c=r.dilations,s=r.pad,l=r.dimRoundingMode,f=r.filterShape;Ti([i,o],"depthwiseConv2dNativeBackpropFilter");for(var d=a.bc.computeConv2DInfo(i.shape,f,u,c,s,l,!0),p=d.strideHeight,h=d.strideWidth,v=d.filterHeight,b=d.filterWidth,m=new a.Pb(d.filterShape,"float32"),g=d.padInfo.left,y=d.padInfo.top,O=d.outChannels/d.inChannels,k=n.data.get(i.dataId).values,x=new a.Pb(i.shape,i.dtype,k),w=n.data.get(o.dataId).values,j=new a.Pb(o.shape,o.dtype,w),S=0;S<v;++S)for(var N=Math.max(0,Math.ceil((y-S)/p)),I=Math.min(d.outHeight,(d.inHeight+y-S)/p),C=0;C<b;++C)for(var E=Math.max(0,Math.ceil((g-C)/h)),T=Math.min(d.outWidth,(d.inWidth+g-C)/h),A=0;A<d.outChannels;++A){for(var R=Math.trunc(A/O),_=A%O,D=0,F=0;F<d.batchSize;++F)for(var M=N;M<I;++M)for(var L=S+M*p-y,z=E;z<T;++z){var P=C+z*h-g;D+=x.get(F,L,P,R)*j.get(F,M,z,A)}m.set(D,S,C,R,_)}return n.makeTensorInfo(m.shape,m.dtype,m.values)}};var iu={kernelName:a.C,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.dy,o=t.filter,u=r.strides,c=r.dilations,s=r.pad,l=r.dimRoundingMode,d=r.inputShape;Ti([i,o],"depthwiseConv2DNativeBackpropInput");for(var p=a.de.computeStrides(i.shape),h=a.de.computeStrides(o.shape),v=a.bc.computeConv2DInfo(d,o.shape,u,c,s,l,!0),b=new a.Pb(v.inShape,"float32"),m=b.values,g=Object(f.a)(b.strides,3),y=g[0],O=g[1],k=g[2],x=n.data.get(i.dataId).values,w=Object(f.a)(p,3),j=w[0],S=w[1],N=w[2],I=n.data.get(o.dataId).values,C=Object(f.a)(h,3),E=C[0],T=C[1],A=C[2],R=v.batchSize,_=v.filterHeight,D=v.filterWidth,F=v.inChannels,M=v.inHeight,L=v.inWidth,z=v.outChannels,P=v.outHeight,B=v.outWidth,W=v.strideHeight,U=v.strideWidth,V=_-1-v.padInfo.top,G=D-1-v.padInfo.left,H=z/F,q=0;q<R;++q)for(var K=0;K<F;++K)for(var X=0;X<M;++X)for(var Y=X-V,Q=Math.max(0,Math.ceil(Y/W)),J=Math.min(P,(_+Y)/W),Z=0;Z<L;++Z){for(var 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t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=t.filter,u=t.dy,c=r.strides,s=r.pad,l=r.dilations,f=n,d=a.de.toNestedArray(i.shape,f.data.get(i.dataId).values),p=a.de.toNestedArray(o.shape,f.data.get(o.dataId).values),h=a.bc.computeDilation2DInfo(i.shape,o.shape,c,s,"NHWC",l),v=h.batchSize,b=h.inHeight,m=h.inWidth,g=h.inChannels,y=h.outHeight,O=h.outWidth,k=h.padInfo,x=h.strideHeight,w=h.strideWidth,j=h.filterHeight,S=h.filterWidth,N=h.dilationHeight,I=h.dilationWidth,C=h.outShape;a.de.assert(u.rank===C.length,(function(){return"Error in ".concat(a.F,", dy ")+"must have the same rank as output ".concat(C.length,", but got ")+"".concat(u.rank)}));for(var E=a.de.toNestedArray(C,f.data.get(u.dataId).values),T=a.de.makeZerosNestedTypedArray(i.shape,i.dtype),A=0;A<v;++A)for(var R=0;R<y;++R)for(var _=R*x-k.top,D=0;D<O;++D)for(var F=D*w-k.left,M=0;M<g;++M){for(var L=Number.MIN_SAFE_INTEGER,z=_<0?0:_,P=F<0?0:F,B=0;B<j;++B){var W=_+B*N;if(W>=0&&W<b)for(var U=0;U<S;++U){var V=F+U*I;if(V>=0&&V<m){var 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o=a.Gd.isSliceContinous(r,t,n),u=a.de.sizeFromShape(n),c=a.de.computeStrides(r);if(o){var s=a.Gd.computeFlatOffset(t,c);return e.subarray(s,s+u)}for(var l=a.de.getTypedArrayFromDType(i,u),f=0;f<u;++f){var d=n.length,p=a.de.computeStrides(n),h=a.de.indexToLoc(f,d,p).map((function(e,n){return e+t[n]})),v=a.de.locToIndex(h,r.length,c);l[f]=e[v]}return l}function Au(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=r.begin,u=r.size;Ti(i,"slice");var c=a.Gd.parseSliceParams(i,o,u),s=Object(f.a)(c,2),l=s[0],d=s[1];a.Gd.assertParamsValid(i,l,d);var p=Tu(n.data.get(i.dataId).values,l,d,i.shape,i.dtype);return n.makeTensorInfo(d,i.dtype,p)}var Ru={kernelName:a.Eb,backendName:"cpu",kernelFunc:Au},_u=Vi((function(e,t){return e-t})),Du=io((function(e,t,n,r){return{real:e-n,imag:t-r}})),Fu=ao(a.Lb,_u,Du),Mu={kernelName:a.Lb,backendName:"cpu",kernelFunc:Fu};function Lu(e,t,n){for(var r=e.shape,i=r[0],o=r[1],u=n.data.get(e.dataId),c=u.complexTensorInfos.real,s=u.complexTensorInfos.imag,l=[i,o],f=a.de.sizeFromShape(l),d=a.de.getTypedArrayFromDType("float32",f),p=a.de.getTypedArrayFromDType("float32",f),h=0;h<i;h++){for(var v=Au({inputs:{x:c},backend:n,attrs:{begin:[h,0],size:[1,o]}}),b=Au({inputs:{x:s},backend:n,attrs:{begin:[h,0],size:[1,o]}}),m=Zi({inputs:{real:v,imag:b},backend:n}),g=zu(m,t,n),y=g.real,O=g.imag,k=a.bc.mergeRealAndImagArrays(y,O),x=0;x<o;x++){var w=a.bc.getComplexWithIndex(k,x);d[h*o+x]=w.real,p[h*o+x]=w.imag}n.disposeIntermediateTensorInfo(v),n.disposeIntermediateTensorInfo(b),n.disposeIntermediateTensorInfo(m)}var j=n.makeTensorInfo(l,"float32",d),S=n.makeTensorInfo(l,"float32",p),N=Zi({inputs:{real:j,imag:S},backend:n});return n.disposeIntermediateTensorInfo(j),n.disposeIntermediateTensorInfo(S),N}function zu(e,t,n){var r=a.de.sizeFromShape(e.shape),i=n.data.get(e.dataId),o=n.data.get(i.complexTensorInfos.real.dataId).values,u=n.data.get(i.complexTensorInfos.imag.dataId).values;if(0===((g=r)&g-1)){var c=Pu(o,u,r,t,n),s=[e.shape[0],e.shape[1]];if(t){var l=n.makeTensorInfo(s,"float32",c.real),f=n.makeTensorInfo(s,"float32",c.imag),d=n.makeTensorInfo([],"float32",a.de.createScalarValue(r,"float32")),p=Wi({inputs:{x:d},backend:n}),h=fu.kernelFunc({inputs:{a:l,b:d},backend:n}),v=fu.kernelFunc({inputs:{a:f,b:p},backend:n}),b=n.data.get(h.dataId).values,m=n.data.get(v.dataId).values;return n.disposeIntermediateTensorInfo(l),n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),n.disposeIntermediateTensorInfo(p),n.disposeIntermediateTensorInfo(h),n.disposeIntermediateTensorInfo(v),{real:b,imag:m}}return c}var g,y=function(e,t,n){for(var r=new Float32Array(2*t),i=0;i<t;i++){for(var o=0,u=0,c=0;c<t;c++){var 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i.disposeIntermediateTensorInfo(d),i.disposeIntermediateTensorInfo(p),i.disposeIntermediateTensorInfo(h),i.disposeIntermediateTensorInfo(y),i.disposeIntermediateTensorInfo(O),i.disposeIntermediateTensorInfo(k),i.disposeIntermediateTensorInfo(N),i.disposeIntermediateTensorInfo(I),i.disposeIntermediateTensorInfo(C),i.disposeIntermediateTensorInfo(_),i.disposeIntermediateTensorInfo(D),i.disposeIntermediateTensorInfo(F),i.disposeIntermediateTensorInfo(z),i.disposeIntermediateTensorInfo(P),i.disposeIntermediateTensorInfo(B),i.disposeIntermediateTensorInfo(W),i.disposeIntermediateTensorInfo(U),i.disposeIntermediateTensorInfo(V),i.disposeIntermediateTensorInfo(G),i.disposeIntermediateTensorInfo(q),i.disposeIntermediateTensorInfo(H),i.disposeIntermediateTensorInfo(K),i.disposeIntermediateTensorInfo(X),i.disposeIntermediateTensorInfo(Y),{real:Q,imag:J}}var Bu={kernelName:a.L,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.input,i=a.de.sizeFromShape(r.shape),o=r.shape[r.shape.length-1],u=lo({inputs:{x:r},backend:n,attrs:{shape:[i/o,o]}}

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t=e.inputs,n=e.attrs,r=e.backend,i=t.x,o=n.filterSize,u=n.strides,c=n.pad,s=n.includeBatchInIndex,l=r;Ti(i,"MaxPoolWithArgmax");var d=l.data.get(i.dataId).values,p=a.bc.computePool2DInfo(i.shape,o,u,[1,1],c),h=function(e,t,n,r,i){var o=To(e,0,n,a.de.computeStrides(t),i,"max"),u=Ao(e,t,n,i,!0,r);return[o.values,u.values]}(d,i.shape,i.dtype,s,p),v=Object(f.a)(h,2),b=v[0],m=v[1],g=l.write(b,p.outShape,i.dtype),y=l.write(m,p.outShape,i.dtype);return[{dataId:g,shape:p.outShape,dtype:i.dtype},{dataId:y,shape:p.outShape,dtype:"int32"}]}};var hc={kernelName:a.ib,backendName:"cpu",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=r.paddings,u=r.mode;Ti(i,"mirrorPad");for(var c=o.map((function(e,t){return e[0]+i.shape[t]+e[1]})),s=o.map((function(e){return e[0]})),l=o.map((function(e,t){return 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2);\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    ").concat(wl,"\n    ").concat(jl,"\n    ").concat(Sl,"\n  ")}(f);return t.isPacked?(o=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 * ".concat(n[1],".0);\n      }\n    ");if(1===n[1])return"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * ".concat(n[0],".0);\n      }\n    ");return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(n[0],", ").concat(n[1],"));\n      return 2 * (resTexRC.x * ").concat(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(a.de.arraysEqual(e,t))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2(".concat(n[0],", ").concat(n[1],"));\n      }\n    ");var r=Math.ceil(e[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(n[0],", ").concat(n[1],"));\n\n      int index = resTexRC.x * ").concat(n[1]," + resTexRC.y;\n      int r = 2 * (index / ").concat(r,");\n      int c = imod(index, ").concat(r,") * 2;\n\n      return ivec2(r, c);\n    }\n  ")}(e,t);case 3:return function(e,t){var n=[Math.ceil(t[0]/2),Math.ceil(t[1]/2)],r=Math.ceil(e[2]/2),a=r*Math.ceil(e[1]/2);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(n[0],", ").concat(n[1],"));\n      int index = resTexRC.x * ").concat(n[1]," + resTexRC.y;\n\n      int b = index / ").concat(a,";\n      index -= b * ").concat(a,";\n\n      int r = 2 * (index / ").concat(r,");\n      int c = imod(index, ").concat(r,") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ")}(e,t);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="",u="b, r, c",c=2;c<e.length-1;c++)i*=e[e.length-c-1],o="\n      int b".concat(c," = index / ").concat(i,";\n      index -= b").concat(c," * ").concat(i,";\n    ")+o,u="b".concat(c,", ")+u;return"\n    ivec".concat(e.length," getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(").concat(n[0],", ").concat(n[1],"));\n      int index = resTexRC.x * ").concat(n[1]," + resTexRC.y;\n\n      ").concat(o,"\n\n      int b = index / ").concat(a,";\n      index -= b * ").concat(a,";\n\n      int r = 2 * (index / ").concat(r,");\n      int c = imod(index, ").concat(r,") * 2;\n\n      return ivec").concat(e.length,"(").concat(u,");\n    }\n  ")}(e,t)}}(t.logicalShape,l),u=function(e){return"\n    void setOutput(vec4 val) {\n      ".concat(e.output," = val;\n    }\n  ")}(f)):(o=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 * ".concat(t[1],".0);\n      }\n    ");if(1===t[1])return"\n      int getOutputCoords() {\n        return int(resultUV.y * ".concat(t[0],".0);\n      }\n    ");return"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      return resTexRC.x * ").concat(t[1]," + resTexRC.y;\n    }\n  ")}(0,t);case 2:return function(e,t){if(a.de.arraysEqual(e,t))return"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2(".concat(t[0],", ").concat(t[1],"));\n      }\n    ");if(1===e[1])return"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ive

2c2(resultUV.yx *\n                               vec2(".concat(t[0],", ").concat(t[1],"));\n        int index = resTexRC.x * ").concat(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(".concat(t[0],", ").concat(t[1],"));\n        int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ");return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      int r = index / ").concat(e[1],";\n      int c = index - r * ").concat(e[1],";\n      return ivec2(r, c);\n    }\n  ")}(e,t);case 3:return function(e,t){var n=bl(["r","c","d"],e);return"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(n,"\n      return ivec3(r, c, d);\n    }\n  ")}(e,t);case 4:return function(e,t){var n=bl(["r","c","d","d2"],e);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n      ").concat(n,"\n      return ivec4(r, c, d, d2);\n    }\n  ")}(e,t);case 5:return function(e,t){var n=bl(["r","c","d","d2","d3"],e);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2(".concat(t[0],",\n                             ").concat(t[1],"));\n\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n\n      ").concat(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=bl(["r","c","d","d2","d3","d4"],e);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2(".concat(t[0],", ").concat(t[1],"));\n      int index = resTexRC.x * ").concat(t[1]," + resTexRC.y;\n\n      ").concat(n,"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  ")}(e,t);default:throw new Error("".concat(e.length,"-D output sampling is not yet supported"))}}(t.logicalShape,l),u=function(e){return"\n    void setOutput(float val) {\n      ".concat(e.output," = vec4(val, 0, 0, 0);\n    }\n  ")}(f)),r&&(p+=Nl),[p,d,u,c,o,s,n].join("\n")}function kl(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 ".concat(n,"() {return ").concat(t,";}");var r=Object(f.a)(e.shapeInfo.texShape,2),a=r[0],i=r[1];if(1===a&&1===i)return"\n      float ".concat(n,"() {\n        return sampleTexture(").concat(t,", halfCR);\n      }\n    ");var o=Object(f.a)(e.shapeInfo.texShape,2),u=o[0],c=o[1],s=Il(t);return"\n    float ".concat(n,"() {\n      vec2 uv = uvFromFlat(").concat(u,", ").concat(c,", ").concat(s,");\n      return sampleTexture(").concat(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 ".concat(n,"(int index) {\n        ").concat(Cl(e),"\n      }\n    ");var r=e.shapeInfo.texShape,a=r[0],i=r[1];if(1===i&&1===a)return"\n      float ".concat(n,"(int index) {\n        return sampleTexture(").concat(t,", halfCR);\n      }\n    ");var o=Il(t);if(1===i)return"\n      float ".concat(n,"(int index) {\n        vec2 uv = vec2(0.5, (float(index + ").concat(o,") + 0.5) / ").concat(a,".0);\n        return sampleTexture(").concat(t,", uv);\n      }\n    ");if(1===a)return"\n      float ".concat(n,"(int index) {\n        vec2 uv = vec2((float(index + ").concat(o,") + 0.5) / ").concat(i,".0, 0.5);\n        return sampleTexture(").concat(t,", uv);\n      }\n    ");return"\n    float ".concat(n,"(int index) {\n      vec2 uv = uvFromFlat(").concat(a,", ").concat(i,", index + ").concat(o,");\n      return sampleTexture(").concat(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),i=e.shapeInfo.texShape;

2if(null!=i&&a.de.arraysEqual(t,i)){var o=i[0],u=i[1];return"\n    float ".concat(r,"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(u,".0, ").concat(o,".0);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}var c=a.de.squeezeShape(t),s=c.newShape,l=c.keptDims,f=s;if(f.length<t.length){var d=Rl(e,f),p=["row","col"];return"\n      ".concat(kl(d),"\n      float ").concat(r,"(int row, int col) {\n        return ").concat(r,"(").concat(_l(p,l),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2(").concat(t[1],", 1)));\n        ").concat(Cl(e),"\n      }\n    ");var h=i[0],v=i[1],b=Il(n);if(1===v)return"\n    float ".concat(r,"(int row, int col) {\n      float index = dot(vec3(row, col, ").concat(b,"), vec3(").concat(t[1],", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / ").concat(h,".0);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ");if(1===h)return"\n    float ".concat(r,"(int row, int col) {\n      float index = dot(vec3(row, col, ").concat(b,"), vec3(").concat(t[1],", 1, 1));\n      vec2 uv = vec2((index + 0.5) / ").concat(v,".0, 0.5);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ");return"\n  float ".concat(r,"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * ").concat(t[1]," + col + ").concat(b,";\n    vec2 uv = uvFromFlat(").concat(h,", ").concat(v,", index);\n    return sampleTexture(").concat(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),i=t[1]*t[2],o=t[2],u=a.de.squeezeShape(t),c=u.newShape,s=u.keptDims,l=c;if(l.length<t.length){var f=Rl(e,l),d=["row","col","depth"];return"\n        ".concat(kl(f),"\n        float ").concat(r,"(int row, int col, int depth) {\n          return ").concat(r,"(").concat(_l(d,s),");\n        }\n      ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3(").concat(i,", ").concat(o,", 1)));\n        ").concat(Cl(e),"\n      }\n    ");var p=e.shapeInfo.texShape,h=p[0],v=p[1],b=e.shapeInfo.flatOffset;if(v===i&&null==b)return"\n        float ".concat(r,"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2(").concat(o,", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2(").concat(v,".0, ").concat(h,".0);\n          return sampleTexture(").concat(n,", uv);\n        }\n      ");if(v===o&&null==b)return"\n    float ".concat(r,"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2(").concat(t[1],", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(v,".0, ").concat(h,".0);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ");var m=Il(n);return"\n      float ".concat(r,"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * ").concat(i," + col * ").concat(o," + depth + ").concat(m,";\n        vec2 uv = uvFromFlat(").concat(h,", ").concat(v,", index);\n        return sampleTexture(").concat(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),i=t[3],o=t[2]*i,u=t[1]*o,c=a.de.squeezeShape(t),s=c.newShape,l=c.keptDims;if(s.length<t.length){var f=Rl(e,s),d=["row","col","depth","depth2"];return"\n      ".concat(kl(f),"\n      float ").concat(r,"(int row, int col, int depth, int depth2) {\n        return ").concat(r,"(").concat(_l(d,l),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4(").concat(u,", ").concat(o,", ").concat(i,", 1)));\n        ").concat(Cl(e),"\n      }\n    ");var p=e.shapeInfo.flatOffset,h=e.shapeInfo.texShape,v=h[0],b=h[1];if(b===u&&null==p)return"\n      float ".concat(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(").concat(o,", ").concat(i,", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(b,".0, ").concat(v,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(b===i&&null==p)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2) {\n        float texR = dot

2(vec3(row, col, depth),\n                         vec3(").concat(t[1]*t[2],", ").concat(t[2],", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(b,".0, ").concat(v,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");var m=Il(n);return"\n    float ".concat(r,"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(u," + col * ").concat(o," +\n          depth * ").concat(i," + depth2;\n      vec2 uv = uvFromFlat(").concat(v,", ").concat(b,", index + ").concat(m,");\n      return sampleTexture(").concat(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),i=t[4],o=t[3]*i,u=t[2]*o,c=t[1]*u,s=a.de.squeezeShape(t),l=s.newShape,f=s.keptDims;if(l.length<t.length){var d=Rl(e,l),p=["row","col","depth","depth2","depth3"];return"\n      ".concat(kl(d),"\n      float ").concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        return ").concat(r,"(").concat(_l(p,f),");\n      }\n    ")}if(e.shapeInfo.isUniform)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4(").concat(c,", ").concat(u,", ").concat(o,", ").concat(i,")) +\n          depth3;\n        ").concat(Cl(e),"\n      }\n    ");var h=e.shapeInfo.flatOffset,v=e.shapeInfo.texShape,b=v[0],m=v[1];if(m===c&&null==h)return"\n      float ".concat(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(").concat(u,", ").concat(o,", ").concat(i,", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(m,".0, ").concat(b,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(m===i&&null==h)return"\n      float ".concat(r,"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4(").concat(t[1]*t[2]*t[3],",\n               ").concat(t[2]*t[3],", ").concat(t[3],", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(m,".0, ").concat(b,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");var g=Il(n);return"\n    float ".concat(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 * ").concat(c," + col * ").concat(u," + depth * ").concat(o," +\n          depth2 * ").concat(i," + depth3 + ").concat(g,";\n      vec2 uv = uvFromFlat(").concat(b,", ").concat(m,", index);\n      return sampleTexture(").concat(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),i=a.de.squeezeShape(t),o=i.newShape,u=i.keptDims;if(o.length<t.length){var c=Rl(e,o),s=["row","col","depth","depth2","depth3","depth4"];return"\n      ".concat(kl(c),"\n      float ").concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return ").concat(r,"(").concat(_l(s,u),");\n      }\n    ")}var l=t[5],f=t[4]*l,d=t[3]*f,p=t[2]*d,h=t[1]*p;if(e.shapeInfo.isUniform)return"\n      float ".concat(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(").concat(h,", ").concat(p,", ").concat(d,", ").concat(f,")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2(").concat(l,", 1)));\n        ").concat(Cl(e),"\n      }\n    ");var v=e.shapeInfo.flatOffset,b=e.shapeInfo.texShape,m=b[0],g=b[1];if(g===h&&null==v)return"\n      float ".concat(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(").concat(p,", ").concat(d,", ").concat(f,", ").concat(l,")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2(").concat(g,".0, ").concat(m,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");if(g===l&&null==v)return"\n      float ".concat(r,"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot

2(vec4(row, col, depth, depth2),\n          vec4(").concat(t[1]*t[2]*t[3]*t[4],",\n               ").concat(t[2]*t[3]*t[4],",\n               ").concat(t[3]*t[4],",\n               ").concat(t[4],")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2(").concat(g,".0, ").concat(m,".0);\n        return sampleTexture(").concat(n,", uv);\n      }\n    ");var y=Il(n);return"\n    float ".concat(r,"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * ").concat(h," + col * ").concat(p," + depth * ").concat(d," +\n          depth2 * ").concat(f," + depth3 * ").concat(l," + depth4 + ").concat(y,";\n      vec2 uv = uvFromFlat(").concat(m,", ").concat(g,", index);\n      return sampleTexture(").concat(n,", uv);\n    }\n  ")}(e);default:throw new Error("".concat(t.length,"-D input sampling")+" is not yet supported")}}function xl(e){switch(e.shapeInfo.logicalShape.length){case 0:return function(e){var t=e.name,n="get"+t.charAt(0).toUpperCase()+t.slice(1),r=vl();return"\n    vec4 ".concat(n,"() {\n      return ").concat(r.texture2D,"(").concat(t,", halfCR);\n    }\n  ")}(e);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=vl();return"\n    vec4 ".concat(n,"(int index) {\n      vec2 uv = packedUVfrom1D(\n        ").concat(a[0],", ").concat(a[1],", index);\n      return ").concat(i.texture2D,"(").concat(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),i=e.shapeInfo.texShape,o=i[0],u=i[1],c=vl();if(null!=i&&a.de.arraysEqual(t,i))return"\n      vec4 ".concat(r,"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2(").concat(u,".0, ").concat(o,".0);\n\n        return ").concat(c.texture2D,"(").concat(n,", uv);\n      }\n    ");var s=[Math.ceil(i[0]/2),Math.ceil(i[1]/2)],l=Math.ceil(t[1]/2);return"\n    vec4 ".concat(r,"(int row, int col) {\n      vec2 uv = packedUVfrom2D(").concat(l,", ").concat(s[0],", ").concat(s[1],", row, col);\n      return ").concat(c.texture2D,"(").concat(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=[1,2],u=Rl(e,t.slice(1)),c=["b","row","col"];return"\n        ".concat(xl(u),"\n        vec4 ").concat(r,"(int b, int row, int col) {\n          return ").concat(r,"(").concat(_l(c,o),");\n        }\n      ")}var s=i[0],l=i[1],f=Math.ceil(t[2]/2),d=f*Math.ceil(t[1]/2),p=vl();return"\n    vec4 ".concat(r,"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        ").concat(s,", ").concat(l,", ").concat(d,", ").concat(f,", b, row, col);\n      return ").concat(p.texture2D,"(").concat(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)],u=o[0],c=o[1],s=Math.ceil(t[n-1]/2),l=s*Math.ceil(t[n-2]/2),f="int b, int row, int col",d="b * ".concat(l," + (row / 2) * ").concat(s," + (col / 2)"),p=2;p<n-1;p++)f="int b".concat(p,", ")+f,l*=t[n-p-1],d="b".concat(p," * ").concat(l," + ")+d;var h=vl();return"\n    vec4 ".concat(a,"(").concat(f,") {\n      int index = ").concat(d,";\n      int texR = index / ").concat(c,";\n      int texC = index - texR * ").concat(c,";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2(").concat(c,", ").concat(u,");\n      return ").concat(h.texture2D,"(").concat(r,", uv);\n    }\n  ")}(e)}}var wl="\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",jl="\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",Sl="\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",Nl="\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 Il(e){return"offset".concat(e)}function Cl(e){var t=e.name,n=a.de.sizeFromShape(e.shapeInfo.logicalShape);return n<2?"return ".concat(t,";"):"\n    for (int i = 0; i < ".concat(n,";

2 i++) {\n      if (i == index) {\n        return ").concat(t,"[i];\n      }\n    }\n  ")}function El(e,t){var n,r=e.name,i=r.charAt(0).toUpperCase()+r.slice(1),o="get"+i+"AtOutCoords",u=e.shapeInfo.logicalShape.length,c=t.logicalShape.length,s=yl(e.shapeInfo.logicalShape,t.logicalShape),l=Al(c),f=c-u,d=["x","y","z","w","u","v"];n=0===u?"":c<2&&s.length>=1?"coords = 0;":s.map((function(e){return"coords.".concat(d[e+f]," = 0;")})).join("\n");var p="";p=c<2&&u>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords.".concat(d[t+f])})).join(", ");var h="return outputValue;",v=1===a.de.sizeFromShape(e.shapeInfo.logicalShape),b=1===a.de.sizeFromShape(t.logicalShape);if(1!==u||v||b){if(v&&!b)h=1===c?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(s.length){var m=u-2,g=u-1;s.indexOf(m)>-1&&s.indexOf(g)>-1?h="return vec4(outputValue.x);":s.indexOf(m)>-1?h="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":s.indexOf(g)>-1&&(h="return vec4(outputValue.xx, outputValue.zz);")}}else h="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 ".concat(o,"() {\n      ").concat(l," coords = getOutputCoords();\n      ").concat(n,"\n      vec4 outputValue = get").concat(i,"(").concat(p,");\n      ").concat(h,"\n    }\n  ")}function Tl(e,t){var n=e.name,r=n.charAt(0).toUpperCase()+n.slice(1),i="get"+r+"AtOutCoords",o=t.texShape,u=e.shapeInfo.texShape,c=e.shapeInfo.logicalShape.length,s=t.logicalShape.length;if(!e.shapeInfo.isUniform&&c===s&&null==e.shapeInfo.flatOffset&&a.de.arraysEqual(u,o))return"\n      float ".concat(i,"() {\n        return sampleTexture(").concat(n,", resultUV);\n      }\n    ");var l,f=Al(s),d=yl(e.shapeInfo.logicalShape,t.logicalShape),p=s-c,h=["x","y","z","w","u","v"];l=0===c?"":s<2&&d.length>=1?"coords = 0;":d.map((function(e){return"coords.".concat(h[e+p]," = 0;")})).join("\n");var v="";return v=s<2&&c>0?"coords":e.shapeInfo.logicalShape.map((function(e,t){return"coords.".concat(h[t+p])})).join(", "),"\n    float ".concat(i,"() {\n      ").concat(f," coords = getOutputCoords();\n      ").concat(l,"\n      return get").concat(r,"(").concat(v,");\n    }\n  ")}function Al(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 ".concat(e," is not yet supported"))}function Rl(e,t){var n=JSON.parse(JSON.stringify(e));return n.shapeInfo.logicalShape=t,n}function _l(e,t){return t.map((function(t){return e[t]})).join(", ")}var Dl=function e(t,n,r,o){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,a.de.assert(t.length>2,(function(){return"Packed arg".concat(r.charAt(0).toUpperCase()+r.slice(1)," supports only inputs with rank above 2.")}));var u=t[t.length-1],c=Math.ceil(u/n);this.outputShape=t.slice(0,-1),c>1&&this.outputShape.push(c),o||this.variableNames.push("bestIndicesA");var s,l,f=this.outputShape,d=f.length,p=Al(d),h=hl("coords",d);if(1===c){var v=Al(l=d+1);s="\n        ".concat(v," sourceLocR = ").concat(v,"(").concat(h.join(),", 0);\n        ++").concat(h[d-1],";\n        ").concat(v," sourceLocG = ").concat(v,"(").concat(h.join(),", 0);\n        ++").concat(h[d-2],";\n        ").concat(v," sourceLocA = ").concat(v,"(").concat(h.join(),", 0);\n        --").concat(h[d-1],";\n        ").concat(v," sourceLocB = ").concat(v,"(").concat(h.join(),", 0);\n        --").concat(h[d-2],";")}else l=d,s="\n        ".concat(p," sourceLocR = coords;\n        ++").concat(h[d-1],";\n        ").concat(p," sourceLocG = coords;\n        ++").concat(h[d-2],";\n        ").concat(p," sourceLocA = coords;\n        --").concat(h[d-1],";\n        ").concat(p," sourceLocB = coords;\n        --").concat(h[d-2],";");var b=["x","y","z","w","u","v"].slice(0,l),m="."+b[l-1],g=b.map((function(e){return"int "+e})),y=hl("sourceLocR",l-1).concat("inIdx.r"),O=hl("sourceLocG",l-1).concat("inIdx.g"),k=hl("sourceLocB",l-1).concat("inIdx.b"),x=hl("sourceLocA",l-1).concat("inIdx.a"),w="max"===r?"greaterThan":"lessThan",j=o?"":"\n          inIdx = round(vec4(getBestIndicesAChannel(".concat(y.join(),"),\n                             getBestIndicesAChannel(").concat(O.join(),"),\n                             getBestIndicesAChannel(").concat(k.join(),"),\n                             getBestIndicesAChannel(").concat(x.join(),")));"),S="vec4(\n            getAChannel(".concat(y.join(),"),\n            hasNextCol ? getAChannel(").concat(O.join(),") : 0.,\n            hasNextRow ? getAChannel(").concat(k.join(),") : 0.,\n            hasNextRow && hasNextCol ? getAChannel(").concat(x.join(),") : 0.)"),N=o?"":"\n      float getBestIndicesAChannel(".concat(g.join(),") {\n        return getChannel(getBestIndicesA(").concat(b.join(),"),\n                                          vec2(").concat(b.slice(-2).join(),"));\n      }");this.userCode="\n      float getAChannel(".concat(g.join(),") {\n        return getChannel(getA(").concat(b.join(),"),\n                               vec2(").concat(b.slice(-2).join(),"));\n      }\n      ").concat(N,"\n      void main() {\n        ").concat(p," coords = getOutputCoords();\n        bool hasNextCol = ").concat(h[d-1]," < ").concat(f[d-1]-1,";

2\n        bool hasNextRow = ").concat(h[d-2]," < ").concat(f[d-2]-1,";\n        ").concat(s,"\n        ivec4 srcIdx = ivec4(sourceLocR").concat(m,", sourceLocG").concat(m,",\n          sourceLocB").concat(m,", sourceLocA").concat(m,") * ").concat(n,";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = ").concat(S,";\n\n        for (int i = 0; i < ").concat(n,"; i++) {\n          inIdx = srcIdx;\n          ").concat(j,"\n          vec4 candidate = ").concat(S,";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4(").concat(w,"(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    ")},Fl=function e(t){Object(i.a)(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,o=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,s=t.effectiveFilterHeight,l=t.effectiveFilterWidth,f=s-1-t.padInfo.top,d=l-1-t.padInfo.left,p=1/(n*r);this.userCode="\n      const ivec2 pads = ivec2(".concat(f,", ").concat(d,");\n      const float avgMultiplier = float(").concat(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 < ").concat(s,";\n            wR += ").concat(u,") {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(l,";\n            wC+= ").concat(c,") {\n            float dyC = float(dyCCorner + wC) / ").concat(o,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.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    ")},Ml=function e(t){Object(i.a)(this,e),this.variableNames=["dy"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,o=t.strideDepth,u=t.strideHeight,c=t.strideWidth,s=t.dilationDepth,l=t.dilationHeight,f=t.dilationWidth,d=t.effectiveFilterDepth,p=t.effectiveFilterHeight,h=t.effectiveFilterWidth,v=d-1-t.padInfo.front,b=p-1-t.padInfo.top,m=h-1-t.padInfo.left,g=1/(n*r*a);this.userCode="\n      const ivec3 pads = ivec3(".concat(v,", ").concat(b,", ").concat(m,");\n      const float avgMultiplier = float(").concat(g,");\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(xD, 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 < ").concat(d,";\n            wD += ").concat(s,") {\n          float dyD = float(dyDCorner + wD) / ").concat(o,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(p,";\n              wR += ").concat(l,") {\n            float dyR = float(dyRCorner + wR) / ").concat(u,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(h,";\n                wC += ").concat(f,") {\n              float dyC = float(dyCCorner + wC) / ").concat(c,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.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    ")},Ll="return (a < 0.) ? b * a : a;",zl=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["A","B"],this.outputShape=a.bc.assertAndGetBroadcastShape(n,r),this.userCode="\n      float binaryOperation(float a, float b) {\n        ".concat(t,"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    ")},Pl="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));

2\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",Bl=function e(t,n,r){var o=arguments.length>3&&void 0!==arguments[3]&&arguments[3];Object(i.a)(this,e),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=a.bc.assertAndGetBroadcastShape(n,r);var u=this.outputShape.length,c="";if(o)if(0===u||1===a.de.sizeFromShape(this.outputShape))c="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else{var s=Al(u);if(c="\n          ".concat(s," coords = getOutputCoords();\n        "),1===u)c+="\n            result.y = (coords + 1) >= ".concat(this.outputShape[0]," ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ");else{var l=hl("coords",u);c+="\n            bool nextRowOutOfBounds =\n              (".concat(l[u-2]," + 1) >= ").concat(this.outputShape[u-2],";\n            bool nextColOutOfBounds =\n              (").concat(l[u-1]," + 1) >= ").concat(this.outputShape[u-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        ".concat(t,"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        ").concat(c,"\n\n        setOutput(result);\n      }\n    ")},Wl=function(){function e(t){Object(i.a)(this,e),this.variableNames=["A"],this.outputShape=t,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 Object(o.a)(e,[{key:"getCustomSetupFunc",value: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}(),Ul=function(){function e(t){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,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 Object(o.a)(e,[{key:"getCustomSetupFunc",value: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}(),Vl=function e(t){Object(i.a)(this,e),this.variableNames=["real","imag"],this.outputShape=t,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    "},Gl=function e(t){Object(i.a)(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideHeight,r=t.strideWidth,a=t.padInfo.top,o=t.padInfo.left,u="channelsLast"===t.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 < ".concat(t.batchSize,"; b++) {\n          for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n            int xR = wR + yR * ").concat(n," - ").concat(a,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n              int xC = wC + yC * ").concat(r," - ").concat(o,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              if (").concat(u,") {\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    ")},Hl=function e(t){Object(i.a)(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,o=t.strideWidth,u="channelsLast"===t.dataFormat,c=n-1-t.padInfo.top,s=r-1-t.padInfo.left,l=u?1:2,f=u?2:3,d=u?3:1;this.userCode="\n      const ivec2 pads = ivec2(".concat(c,", ").concat(s,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[").concat(d,"];\n\n        ivec2 dyCorner = ivec2(coords[").concat(l,"], coords[").concat(f,"]) - 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 < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(o,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            for (int d2 = 0; d2 < ").concat(t.outChannels,"; d2++) {\n\n              if (").concat(u,") {\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    ")},ql=function e(t){Object(i.a)(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,o=t.padInfo.front,u=t.padInfo.top,c=t.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 < ".concat(t.batchSize,"; b++) {\n          for (int yF = 0; yF < ").concat(t.outDepth,";

2 yF++) {\n            int xF = wF + yF * ").concat(n," - ").concat(o,";\n\n            if (xF < 0 || xF >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n              int xR = wR + yR * ").concat(r," - ").concat(u,";\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n                int xC = wC + yC * ").concat(a," - ").concat(c,";\n\n                if (xC < 0 || xC >= ").concat(t.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    ")},Kl=function e(t){Object(i.a)(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterDepth,r=t.filterHeight,a=t.filterWidth,o=t.strideDepth,u=t.strideHeight,c=t.strideWidth,s=n-1-t.padInfo.front,l=r-1-t.padInfo.top,f=a-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3(".concat(s,", ").concat(l,", ").concat(f,");\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 < ").concat(n,"; wF++) {\n          float dyF = float(dyFCorner + wF) / ").concat(o,".0;\n\n          if (dyF < 0.0 || dyF >= ").concat(t.outDepth,".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = ").concat(n," - 1 - wF;\n\n          for (int wR = 0; wR < ").concat(r,"; wR++) {\n            float dyR = float(dyRCorner + wR) / ").concat(u,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = ").concat(r," - 1 - wR;\n\n            for (int wC = 0; wC < ").concat(a,"; wC++) {\n              float dyC = float(dyCCorner + wC) / ").concat(c,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = ").concat(a," - 1 - wC;\n\n              for (int d2 = 0; d2 < ").concat(t.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    ")},Xl=function e(t){Object(i.a)(this,e),this.variableNames=["x","dy"],this.outputShape=t.filterShape;var n=t.strideHeight,r=t.strideWidth,a=t.padInfo.top,o=t.padInfo.left,u=t.outChannels/t.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 * ".concat(u," + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < ").concat(t.batchSize,"; b++) {\n          for (int yR = 0; yR < ").concat(t.outHeight,"; yR++) {\n            int xR = wR + yR * ").concat(n," - ").concat(a,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int yC = 0; yC < ").concat(t.outWidth,"; yC++) {\n              int xC = wC + yC * ").concat(r," - ").concat(o,";\n\n              if (xC < 0 || xC >= ").concat(t.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    ")},Yl=function e(t){Object(i.a)(this,e),this.variableNames=["dy","W"],this.outputShape=t.inShape;var n=t.filterHeight,r=t.filterWidth,a=t.strideHeight,o=t.strideWidth,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2(".concat(u,", ").concat(c,");\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 < ").concat(n,"; wR++) {\n          float dyR = float(dyRCorner + wR) / ").concat(a,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = ").concat(n," - 1 - wR;\n\n          for (int wC = 0; wC < ").concat(r,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(o,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.outWidth,".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = ").concat(r," - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < ").concat(s,"; dm++) {\n              int d2 = d1 * ").concat(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    ")},Ql=function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];Object(i.a)(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.padInfo.top,u=t.padInfo.left,c=t.strideHeight,s=t.strideWidth,l=t.dilationHeight,f=t.dilationWidth,d=t.filterHeight,p=t.filterWidth,h=4*Math.floor(t.inChannels/4),v=t.inChannels%4,b="channelsLast"===t.dataFormat,m=b?1:2,g=b?2:3,y=b?3:1,O="",k="";r&&(O=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),k="result = activation(result);");var x=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      ".concat(O,"\n\n      const ivec2 strides = ivec2(").concat(c,", ").concat(s,");\n      const ivec2 pads = ivec2(").concat(o,", ").concat(u,");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords[").concat(y,"];\n\n        ivec2 xRCCorner =\n            ivec2(coords[").concat(m,"], coords[").concat(g,"]) * 

2strides - 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 < ").concat(d,"; wR++) {\n          int xR = xRCorner + wR * ").concat(l,";\n\n          if (xR < 0 || xR >= ").concat(t.inHeight,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(p,"; wC++) {\n            int xC = xCCorner + wC * ").concat(f,";\n\n            if (xC < 0 || xC >= ").concat(t.inWidth,") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < ").concat(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 (").concat(b,") {\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 (").concat(1===v,") {\n\n              if (").concat(b,") {\n                dotProd +=\n                    getX(batch, xR, xC, ").concat(h,") *\n                    getW(wR, wC, ").concat(h,", d2);\n              } else {\n                dotProd +=\n                    getX(batch, ").concat(h,", xR, xC) *\n                    getW(wR, wC, ").concat(h,", d2);\n              }\n\n            } else if (").concat(2===v,") {\n              vec2 wValues = vec2(\n                getW(wR, wC, ").concat(h,", d2),\n                getW(wR, wC, ").concat(h," + 1, d2)\n              );\n\n              if (").concat(b,") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, ").concat(h,"),\n                  getX(batch, xR, xC, ").concat(h," + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, ").concat(h,", xR, xC),\n                  getX(batch, ").concat(h," + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if (").concat(3===v,") {\n              vec3 wValues = vec3(\n                getW(wR, wC, ").concat(h,", d2),\n                getW(wR, wC, ").concat(h," + 1, d2),\n                getW(wR, wC, ").concat(h," + 2, d2)\n              );\n\n              if (").concat(b,") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, ").concat(h,"),\n                  getX(batch, xR, xC, ").concat(h," + 1),\n                  getX(batch, xR, xC, ").concat(h," + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, ").concat(h,", xR, xC),\n                  getX(batch, ").concat(h," + 1, xR, xC),\n                  getX(batch, ").concat(h," + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        ").concat(x,"\n        ").concat(k,"\n        setOutput(result);\n      }\n    ")},Jl=function e(t){Object(i.a)(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var n=t.padInfo.front,r=t.padInfo.top,a=t.padInfo.left,o=t.strideDepth,u=t.strideHeight,c=t.strideWidth,s=t.dilationDepth,l=t.dilationHeight,f=t.dilationWidth,d=t.filterDepth,p=t.filterHeight,h=t.filterWidth,v=4*Math.floor(t.inChannels/4),b=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3(".concat(o,", ").concat(u,", ").concat(c,");\n      const ivec3 pads = ivec3(").concat(n,", ").concat(r,", ").concat(a,");\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 < ").concat(d,";

2 wF++) {\n          int xF = xFCorner + wF * ").concat(s,";\n\n          if (xF < 0 || xF >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(p,"; wR++) {\n            int xR = xRCorner + wR * ").concat(l,";\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(h,"; wC++) {\n              int xC = xCCorner + wC * ").concat(f,";\n\n              if (xC < 0 || xC >= ").concat(t.inWidth,") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < ").concat(v,"; 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 (").concat(1===b,") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, ").concat(v,") *\n                  getW(wF, wR, wC, ").concat(v,", d2);\n              } else if (").concat(2===b,") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, ").concat(v,"),\n                  getX(batch, xF, xR, xC, ").concat(v," + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, ").concat(v,", d2),\n                  getW(wF, wR, wC, ").concat(v," + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if (").concat(3===b,") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, ").concat(v,"),\n                  getX(batch, xF, xR, xC, ").concat(v," + 1),\n                  getX(batch, xF, xR, xC, ").concat(v," + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, ").concat(v,", d2),\n                  getW(wF, wR, wC, ").concat(v," + 1, d2),\n                  getW(wF, wR, wC, ").concat(v," + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")},Zl=function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,a=arguments.length>3&&void 0!==arguments[3]&&arguments[3];Object(i.a)(this,e),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.inHeight,u=t.inWidth,c=t.padInfo.top,s=t.padInfo.left,l=t.strideHeight,f=t.strideWidth,d=t.dilationHeight,p=t.dilationWidth,h=t.filterHeight,v=t.filterWidth,b=t.outChannels/t.inChannels,m="",g="";r&&(m=a?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }"):"\n          float activation(float x) {\n            ".concat(r,"\n          }\n        "),g="result = activation(result);");var y=n?"result += getBiasAtOutCoords();":"";n&&this.variableNames.push("bias"),a&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      ".concat(m,"\n\n      const ivec2 strides = ivec2(").concat(l,", ").concat(f,");\n      const ivec2 pads = ivec2(").concat(c,", ").concat(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 / ").concat(b,";\n        int q = d2 - d1 * ").concat(b,";\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 < ").concat(h,"; wR++) {\n          int xR = xRCorner + wR * ").concat(d,";\n\n          if (xR < 0 || xR >= ").concat(o,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(v,"; wC++) {\n            int xC = xCCorner + wC * ").concat(p,";\n\n            if (xC < 0 || xC >= ").concat(u,") {\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        ").concat(y,"\n        ").concat(g,"\n        setOutput(result);\n      }\n    ")},$l=function e(t){var n=arguments.length>1&&void 0!==arguments[1]&&arguments[1],r=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,o=arguments.length>3&&void 0!==arguments[3]&&arguments[3];Object(i.a)(this,e),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var u=t.inHeight,c=t.inWidth,s=t.padInfo.top,l=t.padInfo.left,f=t.strideHeight,d=t.strideWidth,p=t.dilationHeight,h=t.dilationWidth,v=t.filterHeight,b=t.filterWidth,m=b,g="int xR; int xC; int xCOffset;",y=0;y<v;y++)for(var O=0;O<b;O++)g+="\n          vec4 xTexelR".concat(y,"C").concat(2*O," = vec4(0.);\n          vec4 wR").concat(y,"C").concat(O," = vec4(0.);\n          vec4 xR").concat(y,"C").concat(O," = vec4(0.);");for(var k=0;k<v;k++)for(var x=0;x<m;x++){var w=2*x;if(g+="\n          xR = xRCorner + ".concat(k*p,";\n          xC = xCCorner + ").concat(w*h,";\n        "),1===d){if(w<b&&(g+=l%2===1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < ".concat(u," && xCOffset >= 0 && xCOffset < ").concat(c,") {\n                  xTexelR").concat(k,"C").concat(w," = 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 >= ").concat(c,") {\n                    xTexelR").concat(k,"C").concat(w,".zw = vec2(0.);\n                  }\n                } else {\n                  xTexelR").concat(k,"C").concat(w," = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < ").concat(u," && xCOffset >= 0 && xCOffset < ").concat(c,") {\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 >= ").concat(c,") {\n                    previous.zw = vec2(0.);\n                  }\n\n                  xR").concat(k,"C").concat(w," = vec4(previous.zw, xTexelR").concat(k,"C").concat(w,".xy);\n                } else {\n                  xR").concat(k,"C").concat(w," = vec4(0, 0, xTexelR").concat(k,"C").concat(w,".xy);\n                }\n              "):"\n                if(xR >= 0 && xR < ".concat(u," && xC >= 0 && xC < ").concat(c,") {\n                  xTexelR").concat(k,"C").concat(w," = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR").concat(k,"C").concat(w," = vec4(0.);\n                }\n\n                xR").concat(k,"C").concat(w," = xTexelR").concat(k,"C").concat(w,";\n              "),w+1<b)){var j=l%2===0?a.de.nearestLargerEven(h):h;h%2===0&&l%2===1||h%2!==0&&l%2!==1?(g+="\n                  xCOffset = xC + ".concat(l%2," + ").concat(j,";\n\n                  if(xR >= 0 && xR < ").concat(u," &&\n                    xCOffset >= 0 && xCOffset < ").concat(c,") {\n                    xTexelR").concat(k,"C").concat(w+2," = getX(batch, xR, xCOffset, d1);\n                  }\n                "),h>1&&(g+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < ".concat(u," &&\n                      xCOffset >= 0 && xCOffset < ").concat(c,") {\n                      xTexelR").concat(k,"C").concat(w," = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR").concat(k,"C").concat(w," = vec4(0.);\n                    }\n                  ")),g+="\n                  xR".concat(k,"C").concat(w+1," = vec4(\n                    xTexelR").concat(k,"C").concat(w,".zw, xTexelR").concat(k,"C").concat(w+2,".xy);\n                ")):g+="\n                  xCOffset = xC + ".concat(j,";\n\n                  if(xR >= 0 && xR < ").concat(u," &&\n                    xCOffset >= 0 && xCOffset < ").concat(c,") {\n                    xTexelR").concat(k,"C").concat(w+2," = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR").concat(k,"C").concat(w+1," = xTexelR").concat(k,"C").concat(w+2,";\n                ")}}else w<b&&(g+="\n              if(xR >= 0 && xR < ".concat(u,") {\n            "),l%2===1?(g+="\n                xCOffset = xC + 1 - ".concat(d,";\n                if(xCOffset >= 0 && xCOffset < ").concat(c,") {\n                  xTexelR").concat(k,"C").concat(w," = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR").concat(k,"C").concat(w," = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < ").concat(c,") {\n                  xTexelR").concat(k,"C").concat(w+2," = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR").concat(k,"C").concat(w+2," = vec4(0.);\n                }\n\n                xR").concat(k,"C").concat(w," = vec4(\n                  xTexelR").concat(k,"C").concat(w,".zw, xTexelR").concat(k,"C").concat(w+2,".zw);\n              "),w+1<b&&(g+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + ".concat(d,";\n                  if(xCOffset >= 0 && xCOffset < ").concat(c,") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR").concat(k,"C").concat(w+1," = vec4(xTexelR").concat(k,"C").concat(w+2,".xy, final.xy);\n                "))):(g+="\n                if(xC >= 0 && xC < ".concat(c,") {\n                  xTexelR").concat(k,"C").concat(w," = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR").concat(k,"C").concat(w," = vec4(0.);\n                }\n\n                xCOffset = xC + ").concat(d,";\n                if(xCOffset >= 0 && xCOffset < ").concat(c,") {\n                  xTexelR").concat(k,"C").concat(w+2," = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR").concat(k,"C").concat(w+2," = vec4(0.);\n                }\n\n                xR").concat(k,"C").concat(w," = vec4(\n                  xTexelR").concat(k,"C").concat(w,".xy, xTexelR").concat(k,"C").concat(w+2,".xy);\n              "),w+1<b&&(g+="\n                  xR".concat(k,"C").concat(w+1," = vec4(\n                    xTexelR").concat(k,"C").concat(w,".zw, xTexelR").concat(k,"C").concat(w+2,".zw);\n                "))),g+="}");w<b&&(g+="\n            vec4 wTexelR".concat(k,"C").concat(w," = getW(").concat(k,", ").concat(w,", d1, q);\n            wR").concat(k,"C").concat(w," = vec4(wTexelR").concat(k,"C").concat(w,".xz, wTexelR").concat(k,"C").concat(w,".xz);\n          "),w+1<b&&(g+="\n              vec4 wTexelR".concat(k,"C").concat(w+1," = getW(").concat(k,", ").concat(w+1,", d1, q);\n              wR").concat(k,"C").concat(w+1," =\n                vec4(wTexelR").concat(k,"C").concat(w+1,".xz, wTexelR").concat(k,"C").concat(w+1,".xz);")))}for(var S=0;S<v;S++)for(var N=0;N<b;N++)g+="dotProd += xR".concat(S,"C").concat(N," * wR").concat(S,"C").concat(N,";");var I="",C="";r&&(I=o?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ".concat(r,"\n        }

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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    ")},tf=function(){function e(t,n,r){Object(i.a)(this,e),this.variableNames=["x"],this.outputShape=t;var a=t.length,o=n?"0.0":"getX(".concat(nf(a,"coords"),")"),u=t[t.length-1],c="",s="";n?(c=r?"end != ".concat(u-1):"end != 0",s=r?"end + 1":"end - 1"):(c=r?"end + pow2 < ".concat(u):"end >= pow2",s=r?"end + pow2":"end - pow2"),this.userCode="\n      uniform float index;\n      void main() {\n        ".concat(Al(a)," coords = getOutputCoords();\n        int end = ").concat(rf(a,"coords"),";\n        float val = ").concat(o,";\n        int pow2 = int(pow(2.0, index));\n        if (").concat(c,") {\n          int idx = ").concat(s,";\n          ").concat(rf(a,"coords")," = idx;\n          val += getX(").concat(nf(a,"coords"),");\n        }\n        setOutput(val);\n      }\n    ")}return Object(o.a)(e,[{key:"getCustomSetupFunc",value: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 nf(e,t){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".x, ").concat(t,".y");if(3===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z");if(4===e)return"".concat(t,".x, ").concat(t,".y, ").concat(t,".z, ").concat(t,".w");throw Error("Cumulative sum for rank ".concat(e," is not yet supported"))}function rf(e,t){if(1===e)return"".concat(t);if(2===e)return"".concat(t,".y");if(3===e)return"".concat(t,".z");if(4===e)return"".concat(t,".w");throw Error("Cumulative sum for rank ".concat(e," is not yet supported"))}var af=function e(t){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=ds.DENSE;var n=ys(t),r=vl();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ".concat(bl(["r","c","d"],t),"\n        return ivec3(r, c, d);\n      }

2\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(").concat(n[0],", ").concat(n[1],"));\n        int index = 4 * (resTexRC.x * ").concat(n[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        ").concat(r.output," = result;\n      }\n    ")},of=function e(t){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=ds.DENSE;var n=ys(t),r=vl();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        ".concat(bl(["r","c","d"],t),"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2(").concat(n[0],", ").concat(n[1],"));\n        int index = 4 * (resTexRC.x * ").concat(n[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        ").concat(r.output," = result;\n      }\n    ")},uf=function(){function e(t,n,r){Object(i.a)(this,e),this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=n,this.dataFormat=r,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = ".concat(this.getHeightCoordString(),";\n      int w = ").concat(this.getWidthCoordString(),";\n      int d = ").concat(this.getDepthCoordString(),";\n\n      int in_h = h / ").concat(n,";\n      int offset_h = imod(h, ").concat(n,");\n      int in_w = w / ").concat(n,";\n      int offset_w = imod(w, ").concat(n,");\n      int offset_d = (offset_h * ").concat(n," + offset_w) *\n        ").concat(this.getOutputDepthSize(),";\n      int in_d = d + offset_d;\n\n      float result = ").concat(this.getInputSamplingString(),";\n      setOutput(result);\n    }\n  ")}return Object(o.a)(e,[{key:"getHeightCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"}},{key:"getWidthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"}},{key:"getDepthCoordString",value:function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"}},{key:"getOutputDepthSize",value:function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]}},{key:"getInputSamplingString",value:function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"}}]),e}(),cf=function e(t){Object(i.a)(this,e),this.variableNames=["X"],this.outputShape=[t,t],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    "},sf=function e(t){Object(i.a)(this,e),this.variableNames=["A"],this.outTexUsage=ps.DOWNLOAD;var n=vl();this.outputShape=t,this.userCode="\n      ".concat(gl,"\n\n      void main() {\n        float x = getAAtOutCoords();\n        ").concat(n.output," = encode_float(x);\n      }\n    ")},lf=function e(t){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=ps.DOWNLOAD;var n=vl();this.outputShape=t,this.userCode="\n      ".concat(gl,"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        ").concat(n.output," = encode_float(x);\n      }\n    ")},ff=function e(t,n){var r=arguments.length>2&&void 0!==arguments[2]&&arguments[2];Object(i.a)(this,e),this.variableNames=["A"];var a=vl(),o=Object(f.a)(n,2),u=o[0],c=o[1];this.outputShape=t;var s="result";r&&(s="floor(result * 255. + 0.5)"),this.userCode="\n      ".concat(ml(t),"\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 / ").concat(c,";\n        int c = imod(flatIndex, ").concat(c,");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2(").concat(c,".0, ").concat(u,".0);\n        vec4 values = ").concat(a.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        ").concat(a.output," = vec4(").concat(s,", 0., 0., 0.);\n      }\n    ")},df=function e(t,n){var r=arguments.length>2&&void 0!==arguments[2]&&arguments[2];Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var a=vl(),o=Object(f.a)(n,2),u=o[0],c=o[1];this.outputShape=t;var s="",l="result";r&&(l="floor(result * 255. + 0.5)");for(var d=0;d<=1;d++)for(var p=0;p<=1;p++){var h=2*d+p;s+="\n          localCoords = coords;\n          if(localCoords[2] + ".concat(p," < ").concat(t[2],") {\n            localCoords[2] += ").concat(p,";\n            if(localCoords[1] + ").concat(d," < ").concat(t[1],") {\n              localCoords[1] += ").concat(d,";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / ").concat(c,";\n              c = imod(flatIndex, ").concat(c,");\n              uv = (vec2(c, r) + halfCR) / vec2(").concat(c,".0, ").concat(u,".0);\n              values = ").concat(a.texture2D,"(A, uv);\n\n              if(offset == 0) {\n                result[").concat(h,"] = values[0];\n              } else if(offset == 1) {\n                result[").concat(h,"] = values[1];\n              } else if(offset == 2) {\n                result[").concat(h,"] = values[2];\n              } else {\n                result[").concat(h,"] = values[3];\n              }\n            }\n          }\n        ")}this.userCode="\n      ".concat(ml(t),"\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        ").concat(s,"\n\n        ").concat(a.output," = ").concat(l,";\n      }\n    ")},pf=function(){function e(t,n){Object(i.a)(this,e),this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      uniform float value;

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2(t,n);var u=function(e){return Ls(e,(function(){return e.createTexture()}),"Unable to create WebGLTexture.")}(e),c=e.TEXTURE_2D;return xs(e,(function(){return e.bindTexture(c,u)})),xs(e,(function(){return e.texParameteri(c,e.TEXTURE_WRAP_S,e.CLAMP_TO_EDGE)})),xs(e,(function(){return e.texParameteri(c,e.TEXTURE_WRAP_T,e.CLAMP_TO_EDGE)})),xs(e,(function(){return e.texParameteri(c,e.TEXTURE_MIN_FILTER,e.NEAREST)})),xs(e,(function(){return e.texParameteri(c,e.TEXTURE_MAG_FILTER,e.NEAREST)})),xs(e,(function(){return e.texImage2D(c,0,r,t,n,0,i,o,null)})),xs(e,(function(){return e.bindTexture(e.TEXTURE_2D,null)})),u}function Of(e){return e.internalFormatFloat}function kf(e){return e.internalFormatHalfFloat}function xf(e){return e.downloadTextureFormat}function wf(e){return e.internalFormatPackedFloat}function jf(e){return e.internalFormatPackedHalfFloat}function Sf(e,t,n,r,a,i,o,u){var c=e,s=new Float32Array(function(e,t){var n=Os(e,t),r=Object(f.a)(n,2);return r[0]*r[1]*4}(i,o));return c.bindBuffer(c.PIXEL_PACK_BUFFER,t),c.getBufferSubData(c.PIXEL_PACK_BUFFER,0,s),c.bindBuffer(c.PIXEL_PACK_BUFFER,null),s}var Nf=function(){function e(t){Object(i.a)(this,e),this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var n=Object(a.Ac)().getNumber("WEBGL_VERSION");null!=t?(this.gl=t,function(e,t){vs[e]=t}(n,t)):this.gl=ms(n);var r="WEBGL_color_buffer_float",o="EXT_color_buffer_half_float";if(1===Object(a.Ac)().getNumber("WEBGL_VERSION")){var u="OES_texture_half_float";if(this.textureFloatExtension=js(this.gl,"OES_texture_float"),Gs(this.gl,u))this.textureHalfFloatExtension=js(this.gl,u);else if(Object(a.Ac)().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(r),Gs(this.gl,o))this.colorBufferHalfFloatExtension=js(this.gl,o);else if(Object(a.Ac)().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(r="EXT_color_buffer_float",Gs(this.gl,r))this.colorBufferFloatExtension=this.gl.getExtension(r);else{if(!Gs(this.gl,o))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension(o)}this.vertexBuffer=mf(this.gl),this.indexBuffer=gf(this.gl),this.framebuffer=function(e){return Ls(e,(function(){return e.createFramebuffer()}),"Unable to create WebGLFramebuffer.")}(this.gl),this.textureConfig=ks(this.gl,this.textureHalfFloatExtension)}return Object(o.a)(e,[{key:"dispose",value:function(){var e=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. 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Ls(e,(function(){return e.createProgram()}),"Unable to create WebGLProgram.")}(t);return xs(t,(function(){return t.attachShader(a,r)})),xs(t,(function(){return t.attachShader(a,n)})),function(e,t){if(xs(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&&Es(t,a),this.vertexAttrsAreBound||(this.setProgram(a),this.vertexAttrsAreBound=function(e,t,n){return xs(e,(function(){return e.bindBuffer(e.ARRAY_BUFFER,n)})),Ts(e,t,"clipSpacePos",n,3,20,0)&&Ts(e,t,"uv",n,2,20,12)}(t,this.program,this.vertexBuffer)),a}},{key:"deleteProgram",value:function(e){var t=this;this.throwIfDisposed(),e===this.program&&(this.program=null),null!=e&&xs(this.gl,(function(){return t.gl.deleteProgram(e)}))}},{key:"setProgram",value:function(e){var t=this;this.throwIfDisposed(),this.program=e,null!=this.program&&this.debug&&Es(this.gl,this.program),xs(this.gl,(function(){return t.gl.useProgram(e)}))}},{key:"getUniformLocation",value:function(e,t){var n=!(arguments.length>2&&void 0!==arguments[2])||arguments[2];return this.throwIfDisposed(),n?As(this.gl,e,t):Rs(this.gl,e,t)}},{key:"getAttributeLocation",value:function(e,t){var n=this;return this.throwIfDisposed(),xs(this.gl,(function(){return n.gl.getAttribLocation(e,t)}))}},{key:"getUniformLocationNoThrow",value:function(e,t){return this.throwIfDisposed(),this.gl.getUniformLocation(e,t)}},{key:"setInputMatrixTexture",value:function(e,t,n){this.throwIfDisposed(),this.throwIfNoProgram(),_s(this.gl,e,t,n)}},{key:"setOutputMatrixTexture",value:function(e,t,n){this.setOutputMatrixTextureDriver(e,n,t)}},{key:"setOutputPackedMatrixTexture",value:function(e,t,n){this.throwIfDisposed();var r=Os(t,n),a=Object(f.a)(r,2),i=a[0],o=a[1];this.setOutputMatrixTextureDriver(e,i,o)}},{key:"setOutputMatrixWriteRegion",value:function(e,t,n,r){this.setOutputMatrixWriteRegionDriver(n,e,r,t)}},{key:"setOutputPackedMatrixWriteRegion",value:function(e,t,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")}},{key:"debugValidate",value:function(){null!=this.program&&Es(this.gl,this.program),Ms(this.gl)}},{key:"executeProgram",value:function(){this.throwIfDisposed(),this.throwIfNoProgram();var e=this.gl;this.debug&&this.debugValidate(),xs(e,(function(){return e.drawElements(e.TRIANGLES,6,e.UNSIGNED_SHORT,0)}))}},{key:"blockUntilAllProgramsCompleted",value:function(){var e=this;this.throwIfDisposed(),xs(this.gl,(function(){return e.gl.finish()}))}},{key:"getQueryTimerExtension",value:function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=js(this.gl,2===Object(a.Ac)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension}},{key:"getQueryTimerExtensionWebGL2",value:function(){return this.getQueryTimerExtension()}},{key:"getQueryTimerExtensionWebGL1",value:function(){return this.getQueryTimerExtension()}},{key:"beginQuery",value:function(){if(2===Object(a.Ac)().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}

2var r=this.getQueryTimerExtensionWebGL1(),i=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,i),i}},{key:"endQuery",value:function(){if(2!==Object(a.Ac)().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)}}},{key:"waitForQueryAndGetTime",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t){var n=this;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:return e.next=2,a.de.repeatedTry((function(){return n.disposed||n.isQueryAvailable(t,Object(a.Ac)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}));case 2:return e.abrupt("return",this.getQueryTime(t,Object(a.Ac)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")));case 3:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"getQueryTime",value:function(e,t){if(0===t)return null;if(2===t){var n=this.gl;return n.getQueryParameter(e,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(e,r.QUERY_RESULT_EXT)/1e6}},{key:"isQueryAvailable",value: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}},{key:"pollFence",value:function(e){var t=this;return new Promise((function(n){t.addItemToPoll((function(){return e.isFencePassed()}),(function(){return n()}))}))}},{key:"pollItems",value: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)}},{key:"addItemToPoll",value:function(e,t){var n=this;this.itemsToPoll.push({isDoneFn:e,resolveFn:t}),this.itemsToPoll.length>1||a.de.repeatedTry((function(){return n.pollItems(),0===n.itemsToPoll.length}))}},{key:"bindTextureToFrameBuffer",value:function(e){this.throwIfDisposed(),Ds(this.gl,e,this.framebuffer),this.debug&&Ms(this.gl)}},{key:"unbindTextureToFrameBuffer",value:function(){null!=this.outputTexture?(Ds(this.gl,this.outputTexture,this.framebuffer),this.debug&&Ms(this.gl)):Fs(this.gl,this.framebuffer)}},{key:"downloadMatrixDriver",value:function(e,t){this.bindTextureToFrameBuffer(e);var n=t();return this.unbindTextureToFrameBuffer(),n}},{key:"setOutputMatrixTextureDriver",value:function(e,t,n){this.throwIfDisposed();var r=this.gl;Ds(r,e,this.framebuffer),this.debug&&Ms(r),this.outputTexture=e,xs(r,(function(){return r.viewport(0,0,t,n)})),xs(r,(function(){return r.scissor(0,0,t,n)}))}},{key:"setOutputMatrixWriteRegionDriver",value:function(e,t,n,r){var a=this;this.throwIfDisposed(),xs(this.gl,(function(){return a.gl.scissor(e,t,n,r)}))}},{key:"throwIfDisposed",value:function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")}},{key:"throwIfNoProgram",value:function(){if(null==this.program)throw new Error("No GPU program is currently set.")}},{key:"debug",get:function(){return Object(a.Ac)().getBool("DEBUG")}}]),e}();function If(e,t,n,r){var i=t.userCode,o=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}})),u=o.map((function(e){return e.shapeInfo})),c={logicalShape:r.shape,texShape:r.texData.texShape,isUniform:!1,isPacked:r.texData.isPacked,flatOffset:null},s=Ol(o,c,i,t.packedInputs),l=e.createProgram(s),f=null,d=e.getUniformLocation(l,"NAN",!1);1===Object(a.Ac)().getNumber("WEBGL_VERSION")&&(f=e.getUniformLocation(l,"INFINITY",!1));for(var p={},h=0;h<t.variableNames.length;h++){var v=t.variableNames[h];p[v]=e.getUniformLocation(l,v,false),p["offset".concat(v)]=e.getUniformLocation(l,"offset".concat(v),false)}return{program:t,source:s,webGLProgram:l,uniformLocations:p,inShapeInfos:u,outShapeInfo:c,infLoc:f,nanLoc:d}}function Cf(e,t){if(e.length!==t.length)throw Error("Binary was compiled with ".concat(e.length," inputs, but ")+"was executed with ".concat(t.length," inputs"));e.forEach((function(e,n){var r=e.logicalShape,i=t[n],o=i.shape;if(!a.de.arraysEqual(r,o))throw Error("Binary was compiled with different shapes than "+"the current args. Shapes ".concat(r," and ").concat(o," must match"));

2if(!e.isUniform||!i.isUniform){var u=e.texShape,c=i.isUniform?null:i.texData.texShape;if(!a.de.arraysEqual(u,c))throw Error("Binary was compiled with different texture shapes than the"+" current args. Shape ".concat(u," and ").concat(c," must match"))}}))}function Ef(e,t,n,r,i){Cf(t.inShapeInfos,n),Cf([t.outShapeInfo],[r]);var o=r.texData.texture,u=r.texData.texShape;r.texData.isPacked?e.setOutputPackedMatrixTexture(o,u[0],u[1]):e.setOutputMatrixTexture(o,u[0],u[1]),e.setProgram(t.webGLProgram),1===Object(a.Ac)().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 i=t.program.variableNames[r],o=t.uniformLocations[i],u=t.uniformLocations["offset".concat(i)];if(null!=o)if(n.isUniform)if(a.de.sizeFromShape(n.shape)<2)e.gl.uniform1f(o,n.uniformValues[0]);else{var c=n.uniformValues;c instanceof Float32Array||(c=new Float32Array(c)),e.gl.uniform1fv(o,c)}else null!=n.texData.slice&&null!=u&&e.gl.uniform1i(u,n.texData.slice.flatOffset),e.setInputMatrixTexture(n.texData.texture,o,r)})),null!=i&&i(e,t.webGLProgram),e.executeProgram()}function Tf(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+="".concat(e.shape,"_").concat(n,"_").concat(t)}));var a=e.userCode,i=e.constructor.name;return i+="_"+r+"_"+a}var Af=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var a=r.filterWidth,o=r.inChannels,u=r.strideWidth,c=r.strideHeight,s=r.padInfo,l=r.outWidth,f=r.dilationWidth,d=r.dilationHeight,p=r.dataFormat,h=s.left,v=s.top,b=o*a,m=vl(),g="channelsLast"===p,y=g?0:1,O=g?1:2,k="",x=0;x<=1;x++)for(var w=0;w<=1;w++)k+="\n          blockIndex = rc.y + ".concat(w,";\n          pos = rc.x + ").concat(x,";\n\n          if(blockIndex < ").concat(t[1]," && pos < ").concat(t[0],") {\n            offsetY = int(blockIndex / (").concat(l,")) * ").concat(c," - ").concat(v,";\n            d0 = offsetY + ").concat(d," * (pos / ").concat(b,");\n\n            if(d0 < ").concat(n[y]," && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), ").concat(l,".) * ").concat(u,". - ").concat(h,".);\n              d1 = offsetX + ").concat(f," * (int(mod(float(pos), ").concat(b,".) / ").concat(o,".));\n\n              if(d1 < ").concat(n[O]," && d1 >= 0) {\n\n                ch = int(mod(float(pos), ").concat(o,".));\n\n                if (").concat(g,") {\n                  innerDims = vec2(d1, ch);\n                  result[").concat(2*x+w,"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result[").concat(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        ".concat(k,"\n\n        ").concat(m.output," = result;\n      }\n    ")},Rf=function e(t,n,r,a,o){Object(i.a)(this,e),this.variableNames=["x"],this.outputShape=[];var u,c=n,s=t[3]-1;this.outputShape=t;var l="float(".concat(r,") + float(").concat(a,") * sum");u=.5===o?"inversesqrt(".concat(l,")"):1===o?"1.0/(".concat(l,")"):"exp(log(".concat(l,") * float(-").concat(o,"));"),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;\n        for (int j = -".concat(c,"; j <= ").concat(c,"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  ").concat(s,") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * ").concat(u,";\n        setOutput(val);\n      }\n    ")},_f=function e(t,n,r,a,o){Object(i.a)(this,e),this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=n,this.bias=r,this.alpha=a,this.beta=o,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 < ".concat(this.depth,"; ++d) {\n          int depthBegin = int(max(0.0, float(d - ").concat(n,")));\n          int depthEnd = int(min(float(").concat(this.depth,"),\n              float(d + ").concat(n," + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = ").concat(this.depth,";\n\n          float norm = 0.0;

2\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(").concat(a,") * norm + float(").concat(r,");\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(").concat(a,")\n                * float(").concat(o,")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * ").concat(o,");\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    ")},Df=function e(t,n,r,a,o){Object(i.a)(this,e),this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var u,c=n,s=t[3]-1;this.outputShape=t;var l="float(".concat(r,") + float(").concat(a,") * sum");u=.5===o?"inversesqrt(".concat(l,")"):1===o?"1.0/(".concat(l,")"):"exp(log(".concat(l,") * float(-").concat(o,"));"),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 < ".concat(this.outputShape[3],";\n        bool hasNextRow = c < ").concat(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 - ").concat(c,";\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 = - ").concat(c,"; j <= ").concat(c,"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2(").concat(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 * ").concat(u,";\n        setOutput(result);\n      }\n    ")},Ff=function e(t){Object(i.a)(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideHeight,r=t.strideWidth,a=t.dilationHeight,o=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=o-1-t.padInfo.top,s=u-1-t.padInfo.left,l=o*u-1;this.userCode="\n      const ivec2 pads = ivec2(".concat(c,", ").concat(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 < ").concat(o,";\n          wR += ").concat(a,") {\n          float dyR = float(dyRCorner + wR) / ").concat(n,".0;\n\n          if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < ").concat(u,"; wC++) {\n            float dyC = float(dyCCorner + wC) / ").concat(r,".0;\n\n            if (dyC < 0.0 || dyC >= ").concat(t.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 = ").concat(l," - 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 * ").concat(u," + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")},Mf=function e(t){Object(i.a)(this,e),this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var n=t.strideDepth,r=t.strideHeight,a=t.strideWidth,o=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,s=t.effectiveFilterDepth,l=t.effectiveFilterHeight,f=t.effectiveFilterWidth,d=s-1-t.padInfo.front,p=l-1-t.padInfo.top,h=f-1-t.padInfo.left,v=s*l*f-1;this.userCode="\n      const ivec3 pads = ivec3(".concat(d,", ").concat(p,", ").concat(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

2D, 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 < ").concat(s,";\n           wD += ").concat(o,") {\n          float dyD = float(dyDCorner + wD) / ").concat(n,".0;\n\n          if (dyD < 0.0 || dyD >= ").concat(t.outDepth,".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < ").concat(l,";\n              wR += ").concat(u,") {\n            float dyR = float(dyRCorner + wR) / ").concat(r,".0;\n\n            if (dyR < 0.0 || dyR >= ").concat(t.outHeight,".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < ").concat(f,";\n                wC += ").concat(c,") {\n              float dyC = float(dyCCorner + wC) / ").concat(a,".0;\n\n              if (dyC < 0.0 || dyC >= ").concat(t.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 = ").concat(v," -\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 * ").concat(l," * ").concat(f," +\n                  wR * ").concat(f," + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    ")},Lf=function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],o=arguments.length>4&&void 0!==arguments[4]&&arguments[4],u=arguments.length>5&&void 0!==arguments[5]&&arguments[5],c=arguments.length>6&&void 0!==arguments[6]?arguments[6]:null,s=arguments.length>7&&void 0!==arguments[7]&&arguments[7];Object(i.a)(this,e),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=r;var l=a?t[1]:t[2],f=Math.ceil(l/2),d=a?"i * 2, rc.y":"rc.y, i * 2",p=o?"rc.z, i * 2":"i * 2, rc.z",h=a?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],v=o?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],b="",m="";c&&(b=s?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          ".concat(c,"\n        }"):"vec4 activation(vec4 x) {\n          ".concat(c,"\n        }"),m="result = activation(result);");var g=u?"result += getBiasAtOutCoords();":"";u&&this.variableNames.push("bias"),s&&this.variableNames.push("preluActivationWeights");var y="rc.x",O="rc.x";t[0]<n[0]?y="int(min(float(rc.x), ".concat(t[0]-1,".))"):n[0]<t[0]&&(O="int(min(float(rc.x), ".concat(n[0]-1,".))")),this.userCode="\n      ".concat(b,"\n\n      const float sharedDimension = ").concat(f,".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < ").concat(f,";

2 i++) {\n          int batchA = ").concat(y,";\n          int batchB = ").concat(O,";\n          vec4 a = getMatrixA(batchA, ").concat(d,");\n          vec4 b = getMatrixB(batchB, ").concat(p,");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += (").concat(h[0]," * ").concat(v[0],");\n          result += (").concat(h[1]," * ").concat(v[1],");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        ").concat(g,"\n\n        ").concat(m,"\n\n        setOutput(result);\n      }\n    ")},zf=function(){function e(t,n,r){Object(i.a)(this,e),this.variableNames=["probs"],this.outputShape=[t,r],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 < ".concat(n-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(").concat(n-1,"));\n      }\n    ")}return Object(o.a)(e,[{key:"getCustomSetupFunc",value: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}(),Pf=function e(t,n,r,a){Object(i.a)(this,e),this.variableNames=["indices"],this.outputShape=[t,n],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float(".concat(a,"), float(").concat(r,"),\n                      float(index == coords.y)));\n      }\n    ")},Bf=function e(t){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var n=t.length;if(0===n)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var r=hl("rc",n),a=Al(n),o=function(e,t,n){if(1===e)return"rc > ".concat(t[0]);for(var r="",a=e-2;a<e;a++)r+="".concat(n[a]," >= ").concat(t[a]),a<e-1&&(r+="||");return r}(n,t,r),u=function(e,t,n,r){if(1===e)return"";var a=r.slice(-2);return"\n    int r = ".concat(a[0],";\n    int c = ").concat(a[1],";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= ").concat(t,";\n    bool rEdge = rp1 >= ").concat(n,";\n  ")}(n,t[t.length-1],t[t.length-2],r),c=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="".concat(0===r?"r":"rp1",", ").concat(0===a?"c":"cp1"),o=2;o<e;o++)i="".concat(t[t.length-1-o],",")+i;n.push(i)}return n}(n,t);if(1===n)return"getA(rc),\n            rc + 1 >= ".concat(e[0]," ? 0. : getA(rc + 1),\n            0, 0");return"getA(".concat(r[0],"),\n          cEdge ? 0. : getA(").concat(r[1],"),\n          rEdge ? 0. : getA(").concat(r[2],"),\n          rEdge || cEdge ? 0. : getA(").concat(r[3],")")}(t,r);this.userCode="\n        void main() {\n          ".concat(a," rc = getOutputCoords();\n\n          if(").concat(o,") {\n            setOutput(vec4(0));\n          } else {\n            ").concat(u,"\n\n            setOutput(vec4(").concat(c,"));\n          }\n        }\n      ")}};var Wf=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["x"],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,o=Al(a),u=n.map((function(e){return e[0]})).join(","),c=n.map((function(e,n){return e[0]+t[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a);this.userCode=1!==a?"\n      ".concat(o," start = ").concat(o,"(").concat(u,");\n      ").concat(o," end = ").concat(o,"(").concat(c,");\n\n      void main() {\n        ").concat(o," outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float(").concat(r,"));\n        } else {\n          ").concat(o," coords = outC - start;\n          setOutput(getX(").concat(s,"));\n        }\n      }\n    "):"\n        int start = ".concat(u,";\n        int end = ").concat(c,";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float(").concat(r,"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      ")},Uf=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));for(var a=t.length,o=Al(a),u=n.map((function(e){return e[0]})).join(","),c=n.map((function(e,n){return e[0]+t[n]})).join(","),s=hl("rc",a),l=hl("source",a),f="".concat(s[a-1]," < ").concat(this.outputShape[a-1]),d=1===a?"source":"vec2(".concat(l.slice(-2).join(),")"),p=["".concat(o," rc = outputLoc;"),"".concat(s[a-1]," += 1;\n       if(").concat(f,") {\n      "),1===a?"":"}\n       rc = outputLoc;\n       ".concat(s[a-2]," += 1;

2\n       if(").concat(s[a-2]," < ").concat(this.outputShape[a-2],") {"),1===a?"":"  ".concat(s[a-1]," += 1;\n         if(").concat(f,") {")],h=1===a?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",v="",b=0,m=1===a?2:4;b<m;b++)v+="\n        ".concat(p[b],"\n        if (").concat(h,") {\n          result[").concat(b,"] = float(").concat(r,");\n        } else {\n          ").concat(o," source = rc - start;\n          result[").concat(b,"] = getChannel(getX(").concat(l.join(),"), ").concat(d,");\n        }\n      ");v+=1===a?"} ":"}}",this.userCode="\n      const ".concat(o," start = ").concat(o,"(").concat(u,");\n      const ").concat(o," end = ").concat(o,"(").concat(c,");\n\n      void main() {\n        ").concat(o," outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        ").concat(v,"\n        setOutput(result);\n      }\n    ")},Vf=function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],o=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(Object(i.a)(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var u=t.filterWidth,c=t.strideHeight,s=t.strideWidth,l=t.dilationHeight,f=t.dilationWidth,d=t.effectiveFilterHeight,p=t.effectiveFilterWidth,h=t.padInfo.top,v=t.padInfo.left;this.outputShape=t.outShape;var b="avg"===n,m="((batch  * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),g="(xR * ".concat(t.inWidth," + xC) * ").concat(t.inChannels," + d"),y="0.0";if(b||(y="-1.0 / 1e-20"),r){var O=">=";this.userCode="\n        const ivec2 strides = ivec2(".concat(c,", ").concat(s,");\n        const ivec2 pads = ivec2(").concat(h,", ").concat(v,");\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 < ").concat(d,";\n              wR += ").concat(l,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(p,";\n                wC += ").concat(f,") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= ").concat(t.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 ").concat(O," currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = ").concat(a?o?m:g:"wR * ".concat(p," + wC"),";\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var k="max",x="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(x="avgValue / count");var w=4*Math.floor(u/4),j=u%4,S="\n      if (".concat(b,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat(k,"(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec2 strides = ivec2(".concat(c,", ").concat(s,");\n      const ivec2 pads = ivec2(").concat(h,", ").concat(v,");\n      const float initializationValue = ").concat(y,";\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 >= ").concat(t.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(").concat(y,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < ").concat(d,";\n            wR += ").concat(l,") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= ").concat(t.inHeight,") {\n            continue;\n          }\n\n          for (int wC = 0; wC < ").concat(w,"; wC += 4) {\n            int xC = xCCorner + wC * ").concat(f,";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(f,", d),\n              getValue(batch, xR, xC + 2 * ").concat(f,", d),\n              getValue(batch, xR, xC + 3 * ").concat(f,", d)\n            );\n\n            ").concat(S,"\n          }\n\n          int xC = xCCorner + ").concat(w,";\n          if (").concat(1===j,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(S,"\n          } else if (").concat(2===j,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(f,", d),\n              initializationValue,\n              initializationValue\n            );\n\n            ").concat(S,"\n          } else if (").concat(3===j,") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + ").concat(f,", d),\n              getValue(batch, xR, xC + 2 * ").concat(f,", d),\n              initializationValue\n            );\n\n            ").concat(S,"\n          }\n        }\n        setOutput(").concat(x,");\n      }\n    ")}},Gf=function e(t,n,r){var a=arguments.length>3&&void 0!==arguments[3]&&arguments[3],o=arguments.length>4&&void 0!==arguments[4]&&arguments[4];if(Object(i.a)(this,e),this.variableNames=["x"],"avg"===n&&r)throw new Error("Cannot compute positions for average pool.");var u=t.filterWidth,c=t.strideDepth,s=t.strideHeight,l=t.strideWidth,f=t.dilationDepth,d=t.dilationHeight,p=t.dilationWidth,h=t.effectiveFilterDepth,v=t.effectiveFilterHeight,b=t.effectiveFilterWidth,m=t.padInfo.front,g=t.padInfo.top,y=t.padInfo.left;this.outputShape=t.outShape;var O="avg"===n,k="0.0";if(O||(k="-1.0 / 1e-20"),r){var x=">=";this.userCode="\n        const ivec3 strides =\n            ivec3(".concat(c,", ").concat(s,", ").concat(l,");\n        const ivec3 pads = ivec3(").concat(m,", ").concat(g,", ").concat(y,");\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 < ").concat(h,";\n              wD += ").concat(f,") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= ").concat(t.inDepth,") {\n              continue;\n            }\n\n            for (int wR = 0; wR < ").concat(v,";\n                wR += ").concat(d,") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= ").concat(t.inHeight,") {\n                continue;\n              }\n\n              for (int wC = 0; wC < ").concat(b,";\n                  wC += ").concat(p,") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= ").concat(t.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 ").concat(x," currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition = ").concat(a?o?"(((batch * ".concat(t.inDepth," + xD) * ").concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"((xD * ".concat(t.inHeight," + xR) * ").concat(t.inWidth," + xC) * ").concat(t.inChannels," + ch"):"wD * ".concat(v," * ").concat(b," +\n                      wR * ").concat(b," + wC"),";\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ")}else{var w="max",j="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===n&&(j="avgValue / count");var S=4*Math.floor(u/4),N=u%4,I="\n      if (".concat(O,") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = ").concat(w,"(values, minMaxValue);\n      }\n    ");this.userCode="\n      const ivec3 strides =\n        ivec3(".concat(c,", ").concat(s,", ").concat(l,");\n      const ivec3 pads = ivec3(").concat(m,", ").concat(g,", ").concat(y,");\n      const float initializationValue = ").concat(k,";\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 >= ").concat(t.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(").concat(k,");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < ").concat(h,";\n            wD += ").concat(f,") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= ").concat(t.inDepth,") {\n            continue;\n          }\n\n          for (int wR = 0; wR < ").concat(v,";\n            wR += ").concat(d,") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= ").concat(t.inHeight,") {\n              continue;\n            }\n\n            for (int wC = 0; wC < ").concat(S,"; wC += 4) {\n              int xC = xCCorner + wC * ").concat(p,";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(p,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(p,", ch),\n                getValue(batch, xD, xR, xC + 3 * ").concat(p,", ch)\n              );\n\n              ").concat(I,"\n            }\n\n            int xC = xCCorner + ").concat(S,";\n            if (").concat(1===N,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(I,"\n            } else if (").concat(2===N,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(p,", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              ").concat(I,"\n            } else if (").concat(3===N,") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + ").concat(p,", ch),\n                getValue(batch, xD, xR, xC + 2 * ").concat(p,", ch),\n                initializationValue\n              );\n\n              ").concat(I,"\n            }\n          }\n          setOutput(").concat(j,");\n        }\n      }\n    ")}},Hf=function e(t,n){Object(i.a)(this,e),this.variableNames=["x"];var r=t.windowSize,a=t.batchSize,o=t.inSize,u=t.outSize;this.outputShape=[a,u];var c="0.0",s="";"prod"===n?c="1.0":"min"===n?(c="1.0 / 1e-20",s="min"):"max"===n&&(c="-1.0 / 1e-20",s="max");var l="".concat(n,"(").concat(n,"(").concat(n,"(")+"minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===n?l="sumValue":"prod"===n?l="prodValue":"all"===n?l="allValue":"any"===n&&(l="anyValue");var f=4*Math.floor(r/4),d=r%4,p="\n      if (".concat("sum"===n,") {\n        sumValue += dot(values, ones);\n      } else if (").concat("prod"===n,") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = ").concat(s,"(values, minMaxValue);\n      }\n    "),h="vec4";"all"===n?(c="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"===n&&(c="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 v="";o%r>0&&(v="\n        if (inIdx < 0 || inIdx >= ".concat(o,") {\n          return initializationValue;\n        }\n      ")),this.userCode="\n      const float initializationValue = ".concat(c,";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ").concat(v,"\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 * ").concat(r,";\n\n        vec4 minMaxValue = vec4(").concat(c,");\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 < ").concat(f,"; i += 4) {\n          int inIdx = inOffset + i;\n          ").concat(h," values = ").concat(h,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          ").concat(p,"\n        }\n\n        int inIdx = inOffset + ").concat(f,";\n        if (").concat(1===d,") {\n          ").concat(h," values = ").concat(h,"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          ").concat(p,"\n        } else if (").concat(2===d,") {\n          ").concat(h," values = ").concat(h,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          ").concat(p,"\n        } else if (").concat(3===d,") {\n          ").concat(h," values = ").concat(h,"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          ").concat(p,"\n        }\n        setOutput(").concat(l,");\n      }\n    ")},qf=function e(t,n){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r="",a=0;a<4;a++){var o="thisRC = rc;";a%2===1&&(o+="thisRC.z += 1;"),a>1&&(o+="thisRC.y += 1;"),r+="\n        ".concat(o,"\n        ").concat(a>0?"if(thisRC.y < rows && thisRC.z < cols){":"","\n         

2 int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result[").concat(a,"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        ").concat(a>0?"}":"","\n      ")}this.userCode="\n      ".concat(function(e){var t=bl(["r","c","d"],e);return"\n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      ".concat(t,"\n      return ivec3(r, c, d);\n    }\n  ")}(n),"\n      ").concat(ml(t),"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = ").concat(t[1],";\n        int cols = ").concat(t[2],";\n\n        ").concat(r,"\n\n        setOutput(result);\n      }\n    ")};var Kf=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n.shape;var a=Object(f.a)(n.shape,3),o=a[1],u=a[2],c=Object(f.a)(t.shape,3),s=c[1],l=c[2],d=[r&&s>1?o-1:o,r&&l>1?u-1:u],p=[r&&s>1?s-1:s,r&&l>1?l-1:l],h=d[0]/p[0],v=d[1]/p[1],b=1/h,m=1/v,g=2*Math.ceil(b)+2,y=2*Math.ceil(m)+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(".concat(h,");\n        const float widthScale = float(").concat(v,");\n\n        const float invHeightScale = float(").concat(b,");\n        const float invWidthScale = float(").concat(m,");\n\n        const int winHeight = int(").concat(g,");\n        const int winWidth = int(").concat(y,");\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 >= ").concat(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 >= ").concat(l,") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), ").concat(o-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), ").concat(u-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    ")},Xf=function e(t,n,r,a){Object(i.a)(this,e),this.variableNames=["A"],this.outputShape=[];var o=Object(f.a)(t,4),u=o[0],c=o[1],s=o[2],l=o[3];this.outputShape=[u,n,r,l];var d=[a&&n>1?c-1:c,a&&r>1?s-1:s],p=[a&&n>1?n-1:n,a&&r>1?r-1:r];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(d[0]/p[0],",\n          ").concat(d[1]/p[1],");\n      const vec2 inputShapeRC = vec2(").concat(c,".0, ").concat(s,".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    ")},Yf=function e(t,n,r,a){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=Object(f.a)(t,4),u=o[0],c=o[1],s=o[2],l=o[3];this.outputShape=[u,n,r,l];var d=[a&&n>1?c-1:c,a&&r>1?s-1:s],p=[a&&n>1?n-1:n,a&&r>1?r-1:r];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          ".concat(d[0]/p[0],",\n          ").concat(d[1]/p[1],",\n          ").concat(d[1]/p[1],");\n      const vec3 inputShapeRC = vec3(").concat(c,".0, ").concat(s,".0,\n                                     ").concat(s,".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 < ").concat(l-1,";\n        bool hasNextRow = coords.z < ").concat(r-1,"

2;\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    

2")},Qf=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["dy"],this.outputShape=[],this.outputShape=n.shape;var a=Object(f.a)(n.shape,3),o=a[1],u=a[2],c=Object(f.a)(t.shape,3),s=c[1],l=c[2],d=[r&&s>1?o-1:o,r&&l>1?u-1:u],p=[r&&s>1?s-1:s,r&&l>1?l-1:l],h=d[0]/p[0],v=d[1]/p[1],b=1/h,m=1/v,g=2*Math.ceil(b)+2,y=2*Math.ceil(m)+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(".concat(h,");\n        const float widthScale = float(").concat(v,");\n\n        const float invHeightScale = float(").concat(b,");\n        const float invWidthScale = float(").concat(m,");\n\n        const int winHeight = int(").concat(g,");\n        const int winWidth = int(").concat(y,");\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 >= ").concat(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 >= ").concat(l,") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float(").concat(d[0],") *\n                (float(dyR) / float(").concat(p[0],"));\n\n            float sourceFracCol =\n                float(").concat(d[1],") *\n                  (float(dyC) / float(").concat(p[1],"));\n\n            int sourceNearestRow = int(min(\n                float(int(").concat(o,") - 1),\n                ").concat(r," ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int(").concat(u,") - 1),\n                ").concat(r," ? 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    ")},Jf=function e(t,n,r,a){Object(i.a)(this,e),this.variableNames=["A"],this.outputShape=[];var o=Object(f.a)(t,4),u=o[0],c=o[1],s=o[2],l=o[3];this.outputShape=[u,n,r,l];var d=[a&&n>1?c-1:c,a&&r>1?s-1:s],p=[a&&n>1?n-1:n,a&&r>1?r-1:r],h=a?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          ".concat(d[0]/p[0],",\n          ").concat(d[1]/p[1],");\n      const vec2 inputShapeRC = vec2(").concat(c,".0, ").concat(s,".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 + ").concat(h,")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    ")},Zf=function e(t,n){Object(i.a)(this,e),this.variableNames=["x"];var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));if(this.outputShape=t,1!==r){var a=t.map((function(e,r){return function(e){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - coords[").concat(e,"] - 1"):"coords[".concat(e,"]")}(r)})).join(","),o=Al(r);this.userCode="\n      void main() {\n        ".concat(o," coords = getOutputCoords();\n        setOutput(getX(").concat(a,"));\n      }\n    ")}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX(".concat(t[0]," - coord - 1));\n        }\n      ")},$f=function e(t,n){Object(i.a)(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var r=t.length;if(r>4)throw new Error("WebGL backend: Reverse of rank-".concat(r," tensor is not yet supported"));this.outputShape=t;var a=hl("rc",r),o="".concat(a[r-1]," + 1 < ").concat(this.outputShape[r-1]),u="".concat(a[r-2]," + 1 < ").concat(this.outputShape[r-2]),c=Al(r);function s(e){var r=t.map((function(r,a){return function(e,r){return-1!==n.indexOf(e)&&1!==t[e]?"".concat(t[e]," - ").concat(r[e]," - 1"):"".concat(r[e])}(a,e)}

2)),a=r.join(","),i=r.slice(-2).join(",");return"getChannel(getX(".concat(a,"), vec2(").concat(i,"))")}this.userCode=1===r?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX(".concat(t[0]," - rc - 1),\n            ").concat(t[0]," - rc - 1);\n          if(").concat(o,"){\n              result.g = getChannel(getX(").concat(t[0]," - (rc  + 1) - 1),\n                ").concat(t[0]," - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      "):"\n        void main() {\n          ".concat(c," rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = ").concat(function(e){return s(e)}(a.slice()),";\n          if(").concat(o,"){\n            result.g = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",s(e)}(a.slice()),";\n          }\n          if(").concat(u,") {\n            result.b = ").concat(function(e){return e[r-2]="("+e[r-2]+" + 1)",s(e)}(a.slice()),";\n            if(").concat(o,") {\n              result.a = ").concat(function(e){return e[r-1]="("+e[r-1]+" + 1)",e[r-2]="("+e[r-2]+" + 1)",s(e)}(a.slice()),";\n            }\n          }\n          setOutput(result);\n        }\n    ")},ed=function e(t,n,r,a,o,u){Object(i.a)(this,e),this.variableNames=["updates","indices","defaultValue"],this.outputShape=u;var c=Al(o.length),s=Al(u.length),l="";1===r?l="i":2===r&&(l="i, j");var f="getIndices(".concat(l,")"),d="";1===a?d="i":2===a&&(d="i, coords[1]");var p="getUpdates(".concat(d,")"),h=n>1?"strides[j]":"strides";this.userCode="\n        ".concat(c," strides = ").concat(c,"(").concat(o,");\n\n        void main() {\n          ").concat(s," coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < ").concat(t,";

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

2\n      if (++").concat(r[this.rank-2]," < ").concat(t[this.rank-2],") {\n        ++").concat(a[this.rank-2],";\n        result.z = ").concat(u,";\n        if (++").concat(r[this.rank-1]," < ").concat(t[this.rank-1],") {\n          ++").concat(a[this.rank-1],";\n          result.w = ").concat(u,";\n        }\n      }\n    "),l=this.rank<=4?"sourceLoc = coords +\n            ".concat(n,"(").concat(t.map((function(e,t){return"start[".concat(t,"]")})).join(),");"):t.map((function(e,t){return"".concat(a[t]," = ").concat(r[t]," + start[").concat(t,"];")})).join("\n");this.userCode="\n      uniform int start[".concat(this.rank,"];\n      void main() {\n        ").concat(n," coords = getOutputCoords();\n        ").concat(n," sourceLoc;\n        ").concat(l,"\n        vec4 result = vec4(0.);\n        ").concat(c,"\n        ").concat(s,"\n        setOutput(result);\n      }\n    ")}return Object(o.a)(e,[{key:"getCustomSetupFunc",value:function(e){var t=this;if(e.length!==this.rank)throw Error("The rank (".concat(this.rank,") of the program must match the ")+"length of start (".concat(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}(),od=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["x"],this.outputShape=r;var a=r.length,o=Al(r.length),u=Al(r.length),c="";if(1===a)c="coords * strides + begin";else{var s=0;c=r.map((function(e,t){return s++,1===r.length?"coords * strides[".concat(t,"] + begin[").concat(t,"]"):"coords[".concat(s-1,"] * strides[").concat(t,"] + begin[").concat(t,"]")})).join(",")}this.userCode="\n      ".concat(o," begin = ").concat(o,"(").concat(t,");\n      ").concat(o," strides = ").concat(o,"(").concat(n,");\n\n      void main() {\n        ").concat(u," coords = getOutputCoords();\n        setOutput(getX(").concat(c,"));\n      }\n    ")},ud=function(){function e(t){Object(i.a)(this,e),this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return Object(o.a)(e,[{key:"acquireTexture",value:function(e,t,n){var r=sd(t,n),a=ld(e,r,n);a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]);var i,o=cd(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 u=this.freeTextures[a].shift();return this.usedTextures[a].push(u),u}return r===hs.PACKED_2X2_FLOAT32?i=this.gpgpu.createPackedMatrixTexture(e[0],e[1]):r===hs.PACKED_2X2_FLOAT16?i=this.gpgpu.createFloat16PackedMatrixTexture(e[0],e[1]):r===hs.UNPACKED_FLOAT32?i=this.gpgpu.createFloat32MatrixTexture(e[0],e[1]):r===hs.UNPACKED_FLOAT16?i=this.gpgpu.createFloat16MatrixTexture(e[0],e[1]):r===hs.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}},{key:"releaseTexture",value:function(e,t,n,r){if(null!=this.freeTextures){var i=sd(n,r),o=ld(t,i,r);o in this.freeTextures||(this.freeTextures[o]=[]);var u=cd(t,i,this.gpgpu.gl,this.gpgpu.textureConfig,r),c=Object(a.Ac)().get("WEBGL_DELETE_TEXTURE_THRESHOLD");-1!==c&&this._numBytesAllocated>c?(this.gpgpu.deleteMatrixTexture(e),this._numBytesAllocated-=u):(this.freeTextures[o].push(e),this.numFreeTextures++,this._numBytesFree+=u),this.numUsedTextures--;var s=this.usedTextures[o],l=s.indexOf(e);if(l<0)throw new Error("Cannot release a texture that was never provided by this texture manager");s.splice(l,1),this.log()}}},{key:"log",value:function(){if(this.logEnabled){var e=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used","".concat(this.numFreeTextures," / ").concat(this.numUsedTextures),"(".concat(e,")"));var t=this._numBytesFree/this._numBytesAllocated;console.log("Bytes allocated: ".concat(this._numBytesAllocated)),console.log("Bytes unused: ".concat(this._numBytesFree," (").concat(Math.round(100*t),"%)"))}}},{key:"getNumUsedTextures",value:function(){return this.numUsedTextures}},{key:"getNumFreeTextures",value:function(){return this.numFreeTextures}},{key:"dispose",value:function(){var e=this;if(null!=this.freeTextures){for(var t in this.freeTextures)this.freeTextures[t].forEach((function(t){e.gpgpu.deleteMatrixTexture(t)}));

2for(var n in this.usedTextures)this.usedTextures[n].forEach((function(t){e.gpgpu.deleteMatrixTexture(t)}));this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0,this._numBytesAllocated=0,this._numBytesFree=0}}},{key:"numBytesAllocated",get:function(){return this._numBytesAllocated}},{key:"numBytesFree",get:function(){return this._numBytesFree}}]),e}();function cd(e,t,n,r,a){var i,o=function(e,t){switch(e){case hs.PACKED_2X2_FLOAT32:return wf(t);case hs.PACKED_2X2_FLOAT16:return jf(t);case hs.UNPACKED_FLOAT32:return Of(t);case hs.UNPACKED_FLOAT16:return kf(t);case hs.PACKED_4X1_UNSIGNED_BYTE:return xf(t);default:throw new Error("Unknown physical texture type ".concat(e))}}(t,r);if(a){var u=Os(e[0],e[1]),c=Object(f.a)(u,2);i=c[0]*c[1]}else{var s=gs(e[0],e[1]),l=Object(f.a)(s,2);i=l[0]*l[1]}return i*function(e,t){var n=e;if(t===n.R32F)return 4;if(t===n.R16F)return 2;if(t===n.RGBA32F)return 16;if(t===e.RGBA)return 16;if(t===n.RGBA16F)return 8;throw new Error("Unknown internal format ".concat(t))}(n,o)}function sd(e,t){if(e===ps.UPLOAD)return hs.PACKED_2X2_FLOAT32;if(e===ps.RENDER||null==e)return function(e){return Object(a.Ac)().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?e?hs.PACKED_2X2_FLOAT32:hs.UNPACKED_FLOAT32:e?hs.PACKED_2X2_FLOAT16:hs.UNPACKED_FLOAT16}(t);if(e===ps.DOWNLOAD||e===ps.PIXELS)return hs.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type ".concat(e))}function ld(e,t,n){return"".concat(e[0],"_").concat(e[1],"_").concat(t,"_").concat(n)}var fd=function e(t,n){Object(i.a)(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[a]*n[a];this.outputShape=r,this.rank=r.length;var o=Al(this.rank),u=function(e){var t=e.length;if(t>5)throw Error("Tile for rank ".concat(t," is not yet supported"));if(1===t)return"imod(resRC, ".concat(e[0],")");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],a=0;a<e.length;a++)r.push("imod(".concat(n[a],", ").concat(e[a],")"));return r.join()}(t);this.userCode="\n      void main() {\n        ".concat(o," resRC = getOutputCoords();\n        setOutput(getA(").concat(u,"));\n      }\n    ")};var dd=function e(t,n){Object(i.a)(this,e),this.variableNames=["A"],this.outputShape=t,this.userCode="\n      float unaryOperation(float x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")},pd="if (isnan(x)) return x;",hd="return x;",vd="return abs(x);",bd="if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : x;\n",md="if (isnan(x)) return x;\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",gd="return (x >= 0.0) ? x : (exp(x) - 1.0);",yd="\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\

2n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = ".concat(a.bc.SELU_SCALEALPHA,";\n  float scale = ").concat(a.bc.SELU_SCALE,";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n");var Od="return -x;",kd="return ceil(x);",xd="return floor(x);",wd="return exp(x);",jd="return exp(x) - 1.0;",Sd='\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = '.concat(a.bc.ERF_P,";\n  float a1 = ").concat(a.bc.ERF_A1,";\n  float a2 = ").concat(a.bc.ERF_A2,";\n  float a3 = ").concat(a.bc.ERF_A3,";\n  float a4 = ").concat(a.bc.ERF_A4,";\n  float a5 = ").concat(a.bc.ERF_A5,";\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n"),Nd="return x;",Id="return x;",Cd="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",Ed="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",Td="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",Ad=function e(t,n){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        ".concat(n,"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    ")},Rd=function e(t){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var n=t.length,r=hl("rc",n),a=Al(n),o=function(e,t){if(1===e)return"rc";for(var n="",r=0;r<e;r++)n+=t[r],r<e-1&&(n+=",");return n}(n,r),u=r.slice(-2),c=n<=1?"rc":"vec2(".concat(u.join(","),")");this.userCode="\n      void main() {\n        ".concat(a," rc = getOutputCoords();\n        vec4 packedInput = getA(").concat(o,");\n\n        setOutput(getChannel(packedInput, ").concat(c,"));\n      }\n    ")},_d=a.bc.segment_util,Dd=a.Oc.split,Fd=a.Oc.tile,Md=a.Oc.topkImpl,Ld=a.Oc.whereImpl,zd={};function Pd(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1];if("linear"===e)return t?Id:hd;if("relu"===e)return t?Cd:bd;if("elu"===e)return t?Td:gd;if("relu6"===e)return t?Ed:md;if("prelu"===e)return t?Pl:Ll;throw new Error("Activation ".concat(e," has not been implemented for the WebGL backend."))}var Bd=function(e){Object(u.a)(n,e);var t=Object(c.a)(n);function n(e){var r,o;if(Object(i.a)(this,n),(r=t.call(this)).pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.warnedAboutCPUBackend=!1,r.pendingDeletes=0,r.disposed=!1,!Object(a.Ac)().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var u=ms(Object(a.Ac)().getNumber("WEBGL_VERSION"));r.binaryCache=((o=Object(a.Ac)().getNumber("WEBGL_VERSION"))in zd||(zd[o]={}),zd[o]),r.gpgpu=new Nf(u),r.canvas=u.canvas,r.gpgpuCreatedLocally=!0}else r.gpgpu=e,r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new ud(r.gpgpu),r.numMBBeforeWarning=null==Object(a.Ac)().global.screen?1024:Object(a.Ac)().global.screen.height*Object(a.Ac)().global.screen.width*window.devicePixelRatio*600/1024/1024,r.texData=new a.z(Object(p.a)(r),Object(a.zc)()),r}return Object(o.a)(n,[{key:"numDataIds",value:function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes}},{key:"write",value:function(e,t,n){if((Object(a.Ac)().getBool("WEBGL_CHECK_NUMERICAL_PROBLEMS")||Object(a.Ac)().getBool("DEBUG"))&&this.checkNumericalProblems(e),"complex64"===n&&null!=e)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:t,dtype:n,values:e,usage:ps.UPLOAD,refCount:1,complexParentRefCount:0}),r}},{key:"incRef",value:function(e){this.texData.get(e).refCount++}},{key:"decRef",value:function(e){this.texData.has(e)&&this.texData.get(e).refCount--}},{key:"move",value:function(e,t,n,r){if(Object(a.Ac)().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(e,{shape:n,dtype:r,values:t,usage:ps.UPLOAD,refCount:1,complexParentRefCount:0})}},{key:"disposeIntermediateTensorInfo",value:function(e){var t=e.dataId;if(this.texData.has(t)){var n=this.texData.get(t);n.refCount--,n.refCount<1&&this.disposeData(t)}}},{key:"readSync",value:function(e){var t=this.texData.get(e),n=t.values,r=t.dtype,i=t.complexTensorInfos,o=t.slice,u=t.shape,c=t.isPacked;if(null!=o){var s;s=c?new Ad(u,Nd):new dd(u,Nd);var l=this.runWebGLProgram(s,[{dataId:e,shape:u,dtype:r}],r),f=this.readSync(l.dataId);return this.disposeIntermediateTensorInfo(l),f}if(null!=n)return this.convertAndCacheOnCPU(e);if("string"===r)return n;var d,p,h=null!=this.activeTimers;if(h&&(d=a.de.now()),"complex64"===r){var v=this.readSync(i.real.dataId),b=this.readSync(i.imag.dataId);p=a.bc.mergeRealAndImagArrays(v,b)}else p=this.getValuesFromTexture(e);return h&&(this.downloadWaitMs+=a.de.now()-d),this.convertAndCacheOnCPU(e,p)}},{key:"read",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t){var n,r,i,o,u,c,s,f,d,p,h,v,b,m,g,y,O,k,x,w,j,S;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!this.pendingRead.has(t)){e.next=3;break}return n=this.pendingRead.get(t),e.abrupt("return",new Promise((function(e){return n.push(e)})));case 3:if(r=this.texData.get(t),i=r.values,o=r.shape,u=r.slice,c=r.dtype,s=r.complexTensorInfos,f=r.isPacked,null==u){e.next=11;break}return d=f?new Ad(o,Nd):new dd(o,Nd),p=this.runWebGLProgram(d,[{dataId:t,shape:o,dtype:c}],c),h=this.read(p.dataId),this.disposeIntermediateTensorInfo(p),e.abrupt("return",h);case 11:if(null==i){e.next=13;break}return e.abrupt("return",this.convertAndCacheOnCPU(t));case 13:if(Object(a.Ac)().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")||2!==Object(a.Ac)().getNumber("WEBGL_VERSION")){e.next=15;break}throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");case 15:if(v=null,"complex64"!==c&&Object(a.Ac)().get("WEBGL_BUFFER_SUPPORTED")&&(b=this.decode(t),g=this.texData.get(b.dataId),v=(m=this.gpgpu).createBufferFromTexture.apply(m,[g.texture].concat(Object(l.a)(ys(o))))),this.pendingRead.set(t,[]),"complex64"===c){e.next=21;break}return e.next=21,this.gpgpu.createAndWaitForFence();case 21:if("complex64"!==c){e.next=30;break}return e.next=24,Promise.all([this.read(s.real.dataId),this.read(s.imag.dataId)]);case 24:O=e.sent,k=O[0],x=O[1],y=a.bc.mergeRealAndImagArrays(k,x),e.next=31;break;case 30:null==v?y=this.getValuesFromTexture(t):(w=a.de.sizeFromShape(o),y=this.gpgpu.downloadFloat32MatrixFromBuffer(v,w));case 31:return null!=b&&this.disposeIntermediateTensorInfo(b),j=this.convertAndCacheOnCPU(t,y),S=this.pendingRead.get(t),this.pendingRead.delete(t),S.forEac

2h((function(e){return e(j)})),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),e.abrupt("return",j);case 38:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"checkNumericalProblems",value:function(e){if(null!=e)for(var t=0;t<e.length;t++){var n=e[t];if(!ws(n)){if(Object(a.Ac)().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value ".concat(n," cannot be represented with your ")+"current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value ".concat(n," cannot be represented on this device."))}}}},{key:"getValuesFromTexture",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,i=t.isPacked,o=a.de.sizeFromShape(n);if(Object(a.Ac)().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var u,c=this.decode(e),s=this.texData.get(c.dataId),f=(u=this.gpgpu).downloadMatrixFromPackedTexture.apply(u,[s.texture].concat(Object(l.a)(ys(n)))).subarray(0,o);return this.disposeIntermediateTensorInfo(c),f}var d=Object(a.Ac)().getBool("WEBGL_PACK")&&!0===i,p=d?Ws(n):n,h=d?new lf(p):new sf(p),v=this.runWebGLProgram(h,[{shape:p,dtype:r,dataId:e}],"float32"),b=this.texData.get(v.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(b.texture,b.texShape[0],b.texShape[1]).subarray(0,o);return this.disposeIntermediateTensorInfo(v),m}},{key:"time",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t){var n,r,i,o,u,c,s;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(n=this.activeTimers,r=[],i=!1,null==this.programTimersStack?(this.programTimersStack=r,i=!0):this.activeTimers.push(r),this.activeTimers=r,t(),o=a.de.flatten(this.activeTimers.map((function(e){return e.query}))).filter((function(e){return null!=e})),u=a.de.flatten(this.activeTimers.map((function(e){return e.name}))).filter((function(e){return null!=e})),this.activeTimers=n,i&&(this.programTimersStack=null),c={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:null,wallMs:null},!(Object(a.Ac)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=19;break}return e.next=14,Promise.all(o);case 14:s=e.sent,c.kernelMs=a.de.sum(s),c.getExtraProfileInfo=function(){return s.map((function(e,t){return{name:u[t],ms:e}})).map((function(e){return"".concat(e.name,": ").concat(e.ms)})).join(", ")},e.next=20;break;case 19:c.kernelMs={error:"WebGL query timers are not supported in this environment."};case 20:return this.uploadWaitMs=0,this.downloadWaitMs=0,e.abrupt("return",c);case 23:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"memory",value:function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU,numBytesInGPUAllocated:this.textureManager.numBytesAllocated,numBytesInGPUFree:this.textureManager.numBytesFree}}},{key:"startTimer",value:function(){return Object(a.Ac)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?this.gpgpu.beginQuery():{startMs:a.de.now(),endMs:null}}},{key:"endTimer",value:function(e){return Object(a.Ac)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0?(this.gpgpu.endQuery(),e):(e.endMs=a.de.now(),e)}},{key:"getQueryTime",value:function(){var e=Object(Et.a)(Ct.a.mark((function e(t){var n;return Ct.a.wrap((function(e){for(;;)switch(e.prev=e.next){case 0:if(!(Object(a.Ac)().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_RELIABLE")>0)){e.next=2;break}return e.abrupt("return",this.gpgpu.waitForQueryAndGetTime(t));case 2:return n=t,e.abrupt("return",n.endMs-n.startMs);case 4:case"end":return e.stop()}}),e,this)})));return function(t){return e.apply(this,arguments)}}()},{key:"disposeData",value:function(e){if(!this.pendingDisposal.has(e)){if(this.pendingRead.has(e))return this.pendingDisposal.add(e),void this.pendingDeletes++;if(this.texData.has(e))if(this.texData.get(e).complexParentRefCount>0)this.texData.get(e).refCount--;else{this.releaseGPUData(e);var t=this.texData.get(e).complexTensorInfos;null!=t&&(this.texData.get(t.real.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(t.real),this.texData.get(t.imag.dataId).complexParentRefCount--,this.disposeIntermediateTensorInfo(t.imag)),this.texData.delete(e)}}}},{key:"releaseGPUData",value:function(e){var t=this.texData.get(e),n=t.texture,r=t.dtype,a=t.texShape,i=t.usage,o=t.isPacked,u=t.slice,c=u&&u.origDataId||e,s=this.dataRefCount.get(c);s>1?this.dataRefCount.set(c,s-1):(this.dataRefCount.delete(c),null!=n&&(this.numBytesInGPU-=this.computeBytes(a,r),this.textureManager.releaseTexture(n,a,i,o)));var l=this.texData.get(e);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null}},{key:"getTexture",value:function(e){return this.uploadToGPU(e),this.texData.get(e).texture}},{key:"getDataInfo",value:function(e){return this.texData.get(e)}},{key:"getCPUBackend",value:function(){return Object(a.Ac)().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=Object(a.zc)().findBackend("cpu")),this.cpuBackend):null}},{key:"shouldExecuteOnCPU",value:function(e){var t=this,n=arguments.length>1&&void 0!==arguments[1]?arguments[1]:128,r=this.getCPUBackend();return this.warnedAboutCPUBackend||null!=r||(console.warn("Your application contains ops that are small enough to be executed on the CPU backend, however the CPU backend cannot be found. Consider importing the CPU backend (@tensorflow/tfjs-backend-cpu) for better performance."),this.warnedAboutCPUBackend=!0),null!=r&&e.every((function(e){return null==t.texData.get(e.dataId).texture&&a.de.sizeFromShape(e.shape)<n}))}},{key:"getGPGPUContext",value:function(){return this.gpgpu}},{key:"slice",value:function(e,t,n){if(this.shouldExecuteOnCPU([e])){var r=ol(this.texData.get(e.dataId).values,t,n,e.shape,e.dtype);return this.makeOutput(n,e.dtype,r)}if(0===a.de.sizeFromShape(n))return Object(a.Rd)([],n,e.dtype);var i=this.texData.get(e.dataId).isPacked,o=a.Gd.isSliceContinous(e.shape,t,n);if(i||!o){var u=Object(a.Ac)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new id(n):new rd(n),c=u.getCustomSetupFunc(t);return this.compileAndRun(u,[e],null,c)}return this.uploadToGPU(e.dataId),this.shallowSlice(e,t,n)}},{key:"shallowSlice",value:function(e,t,n){var r=this.texData.get(e.dataId),i=this.makeOutput(n,e.dtype),o=this.texData.get(i.dataId);Object.assign(o,r),o.shape=n,o.dtype=e.dtype;var u=a.Gd.computeFlatOffset(t,e.strides);

2r.slice&&(u+=r.slice.flatOffset),o.slice={flatOffset:u,origDataId:r.slice&&r.slice.origDataId||e.dataId};var c=this.dataRefCount.get(o.slice.origDataId)||1;return this.dataRefCount.set(o.slice.origDataId,c+1),i}},{key:"stridedSlice",value:function(e,t,n,r){var i=this,o=this.tryRunOnCpuOrThrow([e],(function(){return i.cpuBackend.stridedSlice(e,t,n,r)}));if(o)return o;var u=a.Gd.computeOutShape(t,n,r);if(u.some((function(e){return 0===e})))return Object(a.Rd)([],u);var c=new od(t,r,u);return this.compileAndRun(c,[e])}},{key:"reverse",value:function(e,t){var n=Object(a.Ac)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new $f(e.shape,t):new Zf(e.shape,t);return this.compileAndRun(n,[e])}},{key:"neg",value:function(e){var t=this,n=this.tryRunOnCpuOrThrow([e],(function(){return t.cpuBackend.neg(e)}));if(n)return n;if(Object(a.Ac)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,Od,e.dtype);var r=new dd(e.shape,Od);return this.compileAndRun(r,[e])}},{key:"batchMatMul",value:function(e,t,n,r){var i=n?e.shape[2]:e.shape[1],o=r?t.shape[1]:t.shape[2],u=n?e.shape[1]:e.shape[2],c=Math.max(e.shape[0],t.shape[0]);if((1===i||1===o)&&u>1e3){n&&(e=Object(a.Zd)(e,[0,2,1])),r&&(t=Object(a.Zd)(t,[0,2,1]));var s=1===o?e:e.as3D(c,u,1),l=1===o?2:1,f=1===o?t.as3D(c,1,u):t;return a.dd(s,f).sum(l,!0)}var d=Object(a.ce)(e.dtype,t.dtype),p=new Lf(e.shape,t.shape,[c,i,o],n,r);return this.compileAndRun(p,[e,t],d)}},{key:"fusedBatchMatMul",value:function(e){var t=e.a,n=e.b,r=e.transposeA,i=e.transposeB,o=e.bias,u=e.activation,c=e.preluActivationWeights,s=r?t.shape[2]:t.shape[1],l=i?n.shape[1]:n.shape[2],f=Math.max(t.shape[0],n.shape[0]),d=Object(a.ce)(t.dtype,n.dtype),p=null!=o,h=null!=c,v=u?Pd(u,!0):null,b=new Lf(t.shape,n.shape,[f,s,l],r,i,p,v,h),m=[t,n];return o&&m.push(o),c&&m.push(c),this.compileAndRun(b,m,d)}},{key:"localResponseNormalization4D",value:function(e,t,n,r,i){var o=Object(a.Ac)().getBool("WEBGL_PACK_NORMALIZATION")?new Df(e.shape,t,n,r,i):new Rf(e.shape,t,n,r,i);return this.compileAndRun(o,[e])}},{key:"LRNGrad",value:function(e,t,n,r,a,i,o){var u=new _f(t.shape,r,a,i,o);return this.compileAndRun(u,[t,n,e])}},{key:"tile",value:function(e,t){if("string"===e.dtype){var n=this.readSync(e.dataId).map((function(e){return a.de.decodeString(e)})),r=Object(a.gc)(e.shape,e.dtype,n);return Fd(r,t)}var i=new fd(e.shape,t);return this.compileAndRun(i,[e])}},{key:"pad",value:function(e,t,n){var r=Object(a.Ac)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Uf(e.shape,t,n):new Wf(e.shape,t,n);return this.compileAndRun(r,[e])}},{key:"gather",value:function(e,t,n){var r=this,a=this.tryRunOnCpuOrThrow([e,t],(function(){return r.cpuBackend.gather(e,t,n)}));if(a)return a;var i=new hf(e.shape,t.size,n);return this.compileAndRun(i,[e,t])}},{key:"batchToSpaceND",value:function(e,t,n){a.de.assert(e.rank<=4,(function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"}));var r=t.reduce((function(e,t){return e*t})),i=a.bc.getReshaped(e.shape,t,r),o=a.bc.getPermuted(i.length,t.length),u=a.bc.getReshapedPermuted(e.shape,t,r),c=a.bc.getSliceBeginCoords(n,t.length),s=a.bc.getSliceSize(u,n,t.length);return Object(a.Zd)(e.reshape(i),o).reshape(u).slice(c,s)}},{key:"spaceToBatchND",value:function(e,t,n){a.de.assert(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})),i=[[0,0]];i.push.apply(i,Object(l.a)(n));for(var o=1+t.length;o<e.shape.length;++o)i.push([0,0]);var u=e.pad(i),c=a.bc.getReshaped(u.shape,t,r,!1),s=a.bc.getPermuted(c.length,t.length,!1),f=a.bc.getReshapedPermuted(u.shape,t,r,!1),d=Object(a.Zd)(u.reshape(c),s);return Object(a.td)(d,f)}},{key:"reduce",value:function(e,t,n){var r=e.shape[0],i=e.shape[1],o=a.bc.computeOptimalWindowSize(i),u=Math.ceil(i/o),c=new Hf({windowSize:o,inSize:i,batchSize:r,outSize:u},t),s=this.compileAndRun(c,[e],n);return 1===s.shape[1]?s:this.reduce(s,t,n)}},{key:"argReduce",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,r=e.shape[0],i=e.shape[1];null!=n&&(r=n.shape[0],i=n.shape[1]);var o=a.bc.computeOptimalWindowSize(i),u={windowSize:o,inSize:i,batchSize:r,outSize:Math.ceil(i/o)},c=new dl(u,t,null==n),s=[e];null!=n&&s.push(n);var l=this.compileAndRun(c,s,"int32");return 1===l.shape[1]?l:this.argReduce(e,t,l)}},{key:"argReducePacked",value:function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:null,r=null!=n?n.shape:e.shape,i=r[r.length-1],o=a.bc.computeOptimalWindowSize(i),u=new Dl(r,o,t,null==n),c=null==n?[e]:[e,n],s=this.compileAndRun(u,c,"int32");return s.rank===e.rank?this.argReducePacked(e,t,s):s}},{key:"sum",value:function(e,t){a.bc.assertAxesAreInnerMostDims("sum",t,e.rank);var n=a.bc.computeOutAndReduceShapes(e.shape,t),r=Object(f.a)(n,2),i=r[0],o=r[1],u=a.de.sizeFromShape(o),c=e.as2D(-1,u),s=a.Pd(e.dtype);return this.reduce(c,"sum",s).reshape(i)}},{key:"prod",value:function(e,t){var n=this,r=this.tryRunOnCpuOrThrow([e],(function(){return n.cpuBackend.prod(e,t)}));if(r)return r;var i=a.bc.computeOutAndReduceShapes(e.shape,t),o=Object(f.a)(i,2),u=o[0],c=o[1],s=a.de.sizeFromShape(c),l=e.as2D(-1,s),d=a.Pd(e.dtype);return this.reduce(l,"prod",d).reshape(u)}},{key:"unsortedSegmentSum",value:function(e,t,n){var r=0,i=a.bc.getAxesPermutation([r],e.rank),o=e;null!=i&&(o=Object(a.Zd)(e,i),r=a.bc.getInnerMostAxes(1,e.rank)[0]);var u=_d.computeOutShape(o.shape,r,n),c=a.de.sizeFromShape([o.shape[r]]),s=o.as2D(-1,c),l=a.Pd(e.dtype),f=this.segOpCompute(s,"unsortedSegmentSum",t,l,n).reshape(u);return null!=i&&(f=Object(a.Zd)(f,a.bc.getUndoAxesPermutation(i))

2),f}},{key:"segOpCompute",value:function(e,t,n,r,i){var o=e.shape[0],u=e.shape[1],c=_d.segOpComputeOptimalWindowSize(u,i),s=new td({windowSize:c,inSize:u,batchSize:o,numSegments:i},t),l=this.compileAndRun(s,[e,n],r);return l.shape[1]===i?l:(n=Object(a.pd)(0,i).tile([u/c]),this.segOpCompute(l,t,n,r,i))}},{key:"argMinMaxReduce",value:function(e,t,n){var r=[t];if(a.bc.assertAxesAreInnerMostDims("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,e.rank),!Object(a.Ac)().getBool("WEBGL_PACK_REDUCE")||e.rank<=2){var i=a.bc.computeOutAndReduceShapes(e.shape,r),o=Object(f.a)(i,2),u=o[0],c=o[1],s=a.de.sizeFromShape(c),l=e.as2D(-1,s);return this.argReduce(l,n).reshape(u)}return this.argReducePacked(e,n)}},{key:"argMin",value:function(e,t){return this.argMinMaxReduce(e,t,"min")}},{key:"argMax",value:function(e,t){return this.argMinMaxReduce(e,t,"max")}},{key:"cumsum",value:function(e,t,n,r){if(t!==e.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis=".concat(e.rank-1," ")+"but got axis=".concat(t));for(var a=e.shape[t],i=e,o=0;o<=Math.ceil(Math.log2(a))-1;o++){var u=new tf(e.shape,!1,r),c=u.getCustomSetupFunc(o),s=i;i=this.compileAndRun(u,[i],i.dtype,c),s.dispose()}if(n){var l=new tf(e.shape,n,r),f=i;i=this.compileAndRun(l,[i]),f.dispose()}return i}},{key:"equal",value:function(e,t){if(Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(equal(a, b));\n","bool");var n=new zl("return float(a == b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")}},{key:"less",value:function(e,t){var n=this,r=this.tryRunOnCpuOrThrow([e,t],(function(){return n.cpuBackend.less(e,t)}));if(r)return r;if(Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(lessThan(a, b));\n","bool");var i=new zl("return float(a < b);",e.shape,t.shape);return this.compileAndRun(i,[e,t],"bool")}},{key:"lessEqual",value:function(e,t){if(Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new zl("return float(a <= b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")}},{key:"greater",value:function(e,t){var n=this,r=this.tryRunOnCpuOrThrow([e,t],(function(){return n.cpuBackend.greater(e,t)}));if(r)return r;if(Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(greaterThan(a, b));\n","bool");var i=new zl("return float(a > b);",e.shape,t.shape);return this.compileAndRun(i,[e,t],"bool")}},{key:"greaterEqual",value:function(e,t){if(Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(e,t,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new zl("return float(a >= b);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")}},{key:"logicalNot",value:function(e){var t=new dd(e.shape,"return float(!(x >= 1.0));");return this.compileAndRun(t,[e])}},{key:"logicalAnd",value:function(e,t){if(Object(a.Ac)().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 zl("return float(a >= 1.0 && b >= 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")}},{key:"logicalOr",value:function(e,t){if(Object(a.Ac)().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 zl("return float(a >= 1.0 || b >= 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t],"bool")}},{key:"select",value:function(e,t,n){var r=new nd(e.rank,t.shape,t.rank);return this.compileAndRun(r,[e,t,n],Object(a.ce)(t.dtype,n.dtype))}},{key:"where",value:function(e){a.bc.warn("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var t=e.dataSync();return Ld(e.shape,t)}},{key:"topk",value:function(e,t,n){var r=e.dataSync();return Md(r,e.shape,e.dtype,t,n)}},{key:"min",value:function(e,t){a.bc.assertAxesAreInnerMostDims("min",t,e.rank);var n=a.bc.computeOutAndReduceShapes(e.shape,t),r=Object(f.a)(n,2),i=r[0],o=r[1],u=a.de.sizeFromShape(o),c=e.as2D(-1,u);return this.reduce(c,"min",c.dtype).reshape(i)}},{key:"minimum",value:function(e,t){var n=this,r=this.tryRunOnCpuOrThrow([e,t],(function(){return n.cpuBackend.minimum(e,t)}));if(r)return r;var i=Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bl("\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 zl("\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(i,[e,t])}},{key:"mod",value:function(e,t){var n=Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bl("\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 zl("if (b == 0.0) return NAN;\n  return mod(a, b);",e.shape,t.shape);return this.compileAndRun(n,[e,t])}},{key:"maximum",value:function(e,t){var n=this,r=this.tryRunOnCpuOrThrow([e,t],(function(){return n.cpuBackend.maximum(e,t)}));if(r)return r;var i=Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bl("\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 zl("\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(i,[e,t])}},{key:"all",value:function(e,t){a.bc.assertAxesAreInnerMostDims("all",t,e.rank);var n=a.bc.computeOutAndReduceShapes(e.shape,t),r=Object(f.a)(n,2),i=r[0],o=r[1],u=a.de.sizeFromShape(o),c=e.as2D(-1,u);return this.reduce(c,"all",c.dtype).reshape(i)}},{key:"any",value:function(e,t){a.bc.assertAxesAreInnerMostDims("any",t,e.rank);var n=a.bc.computeOutAndReduceShapes(e.shape,t),r=Object(f.a)(n,2),i=r[0],o=r[1],u=a.de.sizeFromShape(o),c=e.as2D(-1,u);return this.reduce(c,"any",c.dtype).reshape(i)}},{key:"floorDiv",value:function(e,t){var n="int32";if(Object(a.Ac)().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",n);var r=new zl("\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(r,[e,t],n)}},{key:"packedUnaryOp",value:function(e,t,n){var r=new Ad(e.shape,t);return this.compileAndRun(r,[e],n)}},{key:"packedBinaryOp",value:function(e,t,n,r){var a=arguments.length>4&&void 0!==arguments[4]&&arguments[4],i=new Bl(n,e.shape,t.shape,a);return this.compileAndRun(i,[e,t],r)}},{key:"makeComplexComponentTensorInfo",value:function(e,t){return{dataId:t.dataId,dtype:t.dtype,shape:e.shape}}},{key:"addN",value:function(e){if(1===e.length)return e[0];if(e.length>Object(a.Ac)().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var t=Math.floor(e.length/2),n=this.addN(e.slice(0,t)),r=this.addN(e.slice(t));return this.addN([n,r])}var i=e.map((function(e){return e.dtype})).reduce((function(e,t){return Object(a.ce)(e,t)})),o=e.map((function(e){return e.shape})),u=Object(a.Ac)().getBool("WEBGL_PACK")?new fl(e[0].shape,o):new ll(e[0].shape,o);return this.compileAndRun(u,e,i)}},{key:"pow",value:function(e,t){var n=Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bl("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\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 zl("\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=Object(a.ce)(e.dtype,t.dtype);return this.compileAndRun(n,[e,t],r)}},{key:"ceil",value:function(e){if(this.shouldExecuteOnCPU([e])){var t=Zs(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(Object(a.Ac)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,kd,e.dtype);var n=new dd(e.shape,kd);return this.compileAndRun(n,[e])}},{key:"floor",value:function(e){if(this.shouldExecuteOnCPU([e])){var t=tl(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(Object(a.Ac)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,xd,e.dtype);var n=new dd(e.shape,xd);return this.compileAndRun(n,[e])}},{key:"sign",value:function(e){var t=new dd(e.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(t,[e])}},{key:"isNaN",value:function(e){var t=new dd(e.shape,"return float(isnan(x));");return this.compileAndRun(t,[e],"bool")}},{key:"isInf",value:function(e){var t=new dd(e.shape,"return float(isinf(x));");return this.compileAndRun(t,[e],"bool")}},{key:"isFinite",value:function(e){var t=new dd(e.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(t,[e],"bool")}}

2,{key:"round",value:function(e){var t=new dd(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])}},{key:"exp",value:function(e){if(this.shouldExecuteOnCPU([e])){var t=$s(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(Object(a.Ac)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,wd,e.dtype);var n=new dd(e.shape,wd);return this.compileAndRun(n,[e])}},{key:"expm1",value:function(e){if(this.shouldExecuteOnCPU([e])){var t=el(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(Object(a.Ac)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,jd,e.dtype);var n=new dd(e.shape,jd);return this.compileAndRun(n,[e])}},{key:"softmax",value:function(e,t){var n=a.de.parseAxisParam([t],e.shape),r=Object(a.Uc)(e,n),i=a.bc.expandShapeToKeepDim(r.shape,n),o=a.Nd(e,r.reshape(i)),u=this.exp(o),c=this.sum(u,n).reshape(i);return Object(a.wc)(u,c)}},{key:"log",value:function(e){if(this.shouldExecuteOnCPU([e])){var t=nl(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}if(Object(a.Ac)().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 dd(e.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(n,[e])}},{key:"log1p",value:function(e){var t=new dd(e.shape,"return log(1.0 + x);");return this.compileAndRun(t,[e])}},{key:"sqrt",value:function(e){var t=new dd(e.shape,"return sqrt(x);");return this.compileAndRun(t,[e])}},{key:"rsqrt",value:function(e){if(this.shouldExecuteOnCPU([e])){var t=il(this.texData.get(e.dataId).values,e.dtype);return this.makeOutput(e.shape,e.dtype,t)}var n=new dd(e.shape,"return inversesqrt(x);");return this.compileAndRun(n,[e])}},{key:"reciprocal",value:function(e){var t=new dd(e.shape,"return 1.0 / x;");return this.compileAndRun(t,[e])}},{key:"relu",value:function(e){var t;return t=Object(a.Ac)().getBool("WEBGL_PACK")?new Ad(e.shape,Cd):new dd(e.shape,bd),this.compileAndRun(t,[e])}},{key:"relu6",value:function(e){var t;return t=Object(a.Ac)().getBool("WEBGL_PACK")?new Ad(e.shape,Ed):new dd(e.shape,md),this.compileAndRun(t,[e])}},{key:"prelu",value:function(e,t){var n=Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bl(Pl,e.shape,t.shape):new zl(Ll,e.shape,t.shape);return this.compileAndRun(n,[e,t])}},{key:"elu",value:function(e){if(Object(a.Ac)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,Td,e.dtype);var t=new dd(e.shape,gd);return this.compileAndRun(t,[e])}},{key:"eluDer",value:function(e,t){var n=Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Bl("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));

2\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",e.shape,t.shape):new zl("return (b >= 1.0) ? a : a * (b + 1.0);",e.shape,t.shape);return this.compileAndRun(n,[e,t])}},{key:"selu",value:function(e){var t=new dd(e.shape,yd);return this.compileAndRun(t,[e])}},{key:"clip",value:function(e,t,n){var r,i=(r=Object(a.Ac)().getBool("WEBGL_PACK_CLIP")?new Ul(e.shape):new Wl(e.shape)).getCustomSetupFunc(t,n);return this.compileAndRun(r,[e],null,i)}},{key:"abs",value:function(e){if(this.shouldExecuteOnCPU([e])&&"complex64"!==e.dtype){var t=Qs(this.texData.get(e.dataId).values);return this.makeOutput(e.shape,e.dtype,t)}if(Object(a.Ac)().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(e,vd,e.dtype);var n=new dd(e.shape,vd);return this.compileAndRun(n,[e])}},{key:"complexAbs",value:function(e){var t=this.texData.get(e.dataId),n=new Vl(e.shape),r=[this.makeComplexComponentTensorInfo(e,t.complexTensorInfos.real),this.makeComplexComponentTensorInfo(e,t.complexTensorInfos.imag)];return this.compileAndRun(n,r)}},{key:"sigmoid",value:function(e){var t=new dd(e.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(t,[e])}},{key:"softplus",value:function(e){var t=new dd(e.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(t,[e])}},{key:"asin",value:function(e){var t=new dd(e.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n");return this.compileAndRun(t,[e])}},{key:"acos",value:function(e){var t=new dd(e.shape,"if (isnan(x)) return x;\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n");return this.compileAndRun(t,[e])}},{key:"atan",value:function(e){var t=new dd(e.shape,"if (isnan(x)) return x;\n  return atan(x);\n");return this.compileAndRun(t,[e])}},{key:"sinh",value:function(e){var t=new dd(e.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])}},{key:"cosh",value:function(e){var t=new dd(e.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(t,[e])}},{key:"tanh",value:function(e){var t=new dd(e.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(t,[e])}},{key:"asinh",value:function(e){var t=new dd(e.shape,"if (isnan(x)) return x;return log(x + sqrt(x * x + 1.0));");return this.compileAndRun(t,[e])}},{key:"acosh",value:function(e){var t=new dd(e.shape,"if (isnan(x)) return x;\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));");return this.compileAndRun(t,[e])}},{key:"atanh",value:function(e){var t=new dd(e.shape,"if (isnan(x)) return x;\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;");return this.compileAndRun(t,[e])}},{key:"erf",value:function(e){var t=new dd(e.shape,Sd);return this.compileAndRun(t,[e])}},{key:"step",value:function(e,t){var n=new dd(e.shape,function(){return pd+"\n    return x > 0.0 ? 1.0 : float(".concat(arguments.length>0&&void 0!==arguments[0]?arguments[0]:0,");\n  ")}(t));return this.compileAndRun(n,[e])}},{key:"conv2dByMatMul",value:function(e,t,n,r,i,o){var u=e.shape,c=this.texData.get(e.dataId),s=n.inChannels,l=u[0]*u[1]*u[2],f=n.outChannels,d="channelsLast"===n.dataFormat,p=(1===l||1===f)&&s>1e3,h=u[2]%2!==0&&!!c.isPacked;if(p||!Object(a.Ac)().getBool("WEBGL_LAZILY_UNPACK")||!Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!h){var v=d?u[0]*u[1]*u[2]:u[0]*u[2]*u[3],b=Object(a.td)(e,[1,v,n.inChannels]),m=Object(a.td)(t,[1,n.inChannels,n.outChannels]),g=this.fusedBatchMatMul({a:b,b:m,transposeA:false,transposeB:false,bias:r,activation:i,preluActivationWeights:o});return Object(a.td)(g,n.outShape)}var y=d?u[0]*u[1]*(u[2]+1):u[0]*u[2]*(u[3]+1),O={dataId:e.dataId,shape:[1,y,n.inChannels],dtype:e.dtype},k=c.shape;c.shape=c.shape.slice(),c.shape[c.shape.length-2]++,a.de.assert(Vs(c.shape,O.shape),(function(){return"packed reshape ".concat(c.shape," to ").concat(O.shape," isn't free")}));var x=Object(a.td)(t,[1,n.inChannels,n.outChannels]),w=this.fusedBatchMatMul({a:O,b:x,transposeA:false,transposeB:false,bias:r,activation:i,preluActivationWeights:o}),j=this.texData.get(w.dataId);return a.de.assert(j.isPacked,(function(){return"batchMatMul result is expected to be packed"})),c.shape=k,j.shape=n.outShape,Object(a.zc)().makeTensorFromDataId(w.dataId,n.outShape,w.dtype)}},{key:"conv2dWithIm2Row",value:function(e,t,n,r,a,i){var o=n.filterWidth,u=n.filterHeight,c=n.inChannels,s=n.outWidth,l=n.outHeight,f="channelsLast"===n.dataFormat,d=o*u*c,p=l*s,h=[d,p],v=e.squeeze([0]),b=t.reshape([1,d,-1]),m=new Af(h,v.shape,n),g=this.compileAndRun(m,[v]).reshape([1,h[0],h[1]]),y=null!=r,O=null!=i,k=a?Pd(a,!0):null,x=new Lf(g.shape,b.shape,[1,p,n.outChannels],!0,!1,y,k,O),w=[g,b];r&&w.push(r),O&&w.push(i);var j=this.compileAndRun(x,w);return f?j.reshape([1,l,s,n.outChannels]):j.reshape([1,n.outChannels,l,s])}}

2,{key:"fusedConv2d",value:function(e){var t=e.input,n=e.filter,r=e.convInfo,i=e.bias,o=e.activation,u=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,i,o,u);if(Object(a.Ac)().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,n,r,i,o,u);var c=null!=i,s=null!=u,l=o?Pd(o,!1):null,f=new Ql(r,c,l,s),d=[t,n];return i&&d.push(i),u&&d.push(u),this.compileAndRun(f,d)}},{key:"conv2d",value: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(Object(a.Ac)().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,t,n);var r=new Ql(n);return this.compileAndRun(r,[e,t])}},{key:"conv2dDerInput",value:function(e,t,n){var r=new Hl(n);return this.compileAndRun(r,[e,t])}},{key:"conv2dDerFilter",value:function(e,t,n){var r=new Gl(n);return this.compileAndRun(r,[e,t])}},{key:"fusedDepthwiseConv2D",value:function(e){var t,n=e.input,r=e.filter,i=e.convInfo,o=e.bias,u=e.activation,c=e.preluActivationWeights,s=Object(a.Ac)().getBool("WEBGL_PACK_DEPTHWISECONV")&&i.strideWidth<=2&&i.outChannels/i.inChannels===1,l=u?Pd(u,s):null,f=[n,r],d=null!=o,p=null!=c;return d&&f.push(o),p&&f.push(c),s?(t=new $l(i,d,l,p),this.compileAndRun(t,f)):(t=new Zl(i,d,l,p),this.compileAndRun(t,f))}},{key:"depthwiseConv2D",value:function(e,t,n){var r;return Object(a.Ac)().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels===1?(r=new $l(n),this.compileAndRun(r,[e,t])):(r=new Zl(n),this.compileAndRun(r,[e,t]))}},{key:"depthwiseConv2DDerInput",value:function(e,t,n){var r=new Yl(n);return this.compileAndRun(r,[e,t])}},{key:"depthwiseConv2DDerFilter",value:function(e,t,n){var r=new Xl(n);return this.compileAndRun(r,[e,t])}},{key:"conv3d",value:function(e,t,n){var r=new Jl(n);return this.compileAndRun(r,[e,t])}},{key:"conv3dDerInput",value:function(e,t,n){var r=new Kl(n);return this.compileAndRun(r,[e,t])}},{key:"conv3dDerFilter",value:function(e,t,n){var r=new ql(n);return this.compileAndRun(r,[e,t])}},{key:"unstack",value:function(e,t){for(var n=e.shape[t],r=new Array(e.rank-1),a=0,i=0;i<e.rank;i++)i!==t&&(r[a++]=e.shape[i]);var o=new Array(e.rank).fill(0),u=e.shape.slice();u[t]=1;for(var c=new Array(n),s=0;s<c.length;s++)o[t]=s,c[s]=this.slice(e,o,u).reshape(r);return c}},{key:"avgPool3d",value:function(e,t){var n=new Gf(t,"avg",!1);return this.compileAndRun(n,[e],"float32")}},{key:"avgPool3dBackprop",value:function(e,t,n){var r=new Ml(n);return this.compileAndRun(r,[e],t.dtype)}},{key:"maxPool3d",value:function(e,t){var n=new Gf(t,"max",!1);return this.compileAndRun(n,[e],"float32")}},{key:"maxPool3dBackprop",value:function(e,t,n,r){var a=new Gf(r,"max",!0),i=this.compileAndRun(a,[t]),o=new Mf(r),u=this.compileAndRun(o,[e,i],t.dtype);return i.dispose(),u}},{key:"resizeBilinear",value:function(e,t,n,r){var i=Object(a.Ac)().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new Yf(e.shape,t,n,r):new Xf(e.shape,t,n,r);return this.compileAndRun(i,[e],"float32")}},{key:"resizeBilinearBackprop",value:function(e,t,n){var r=new Kf(e,t,n);return this.compileAndRun(r,[e])}},{key:"resizeNearestNeighbor",value:function(e,t,n,r){var a=new Jf(e.shape,t,n,r);return this.compileAndRun(a,[e])}},{key:"resizeNearestNeighborBackprop",value:function(e,t,n){var r=new Qf(e,t,n);return this.compileAndRun(r,[e])}},{key:"multinomial",value:function(e,t,n,r){var i=t?e:Object(a.Hd)(e),o=i.shape[0],u=i.shape[1],c=new zf(o,u,n),s=c.getCustomSetupFunc(r);return this.compileAndRun(c,[i],"int32",s)}},{key:"oneHot",value:function(e,t,n,r){var a=new Pf(e.size,t,n,r);return this.compileAndRun(a,[e])}},{key:"diag",value:function(e){var t=new cf(e.size);return this.compileAndRun(t,[e])}},{key:"cropAndResize",value:function(e,t,n,r,a,i){var o=new ef(e.shape,t.shape,r,a,i);return this.compileAndRun(o,[e,t,n],"float32")}},{key:"depthToSpace",value:function(e,t,n){a.de.assert(t>1,(function(){return"blockSize should be > 1 for depthToSpace, but was: ".concat(t)}));var r=e.shape[0],i="NHWC"===n?e.shape[1]:e.shape[2],o="NHWC"===n?e.shape[2]:e.shape[3],u="NHWC"===n?e.shape[3]:e.shape[1],c=i*t,s=o*t,l=u/(t*t),f=new uf("NHWC"===n?[r,c,s,l]:[r,l,c,s],t,n);return this.compileAndRun(f,[e])}}

2,{key:"split",value:function(e,t,n){return Dd(e,t,n)}},{key:"scatterND",value:function(e,t,n){var r=a.bc.calculateShapes(t,e,n),i=r.sliceRank,o=r.numUpdates,u=r.sliceSize,c=r.strides,s=r.outputSize,l=[s/u,u],f=e.reshape([o,i]),d=t.reshape([o,u]);if(0===s)return a.bc.reshapeTensor(Object(a.Rd)([]),n);var p=Object(a.vd)(0),h=new ed(o,i,f.rank,d.rank,c,l);return this.compileAndRun(h,[d,f,p]).reshape(n)}},{key:"sparseToDense",value:function(e,t,n,r){var i=a.bc.calculateShapes(t,e,n),o=i.sliceRank,u=i.numUpdates,c=i.strides,s=i.outputSize,l=new ed(u,o,e.rank,t.rank,c,[s,1],!1);return this.compileAndRun(l,[t,e,r]).reshape(n)}},{key:"gatherND",value:function(e,t){var n=t.shape,r=n[n.length-1],i=a.bc.prepareAndValidate(e,t),o=Object(f.a)(i,4),u=o[0],c=o[1],s=o[2],l=o[3],d=t.reshape([c,r]),p=e.reshape([e.size/s,s]),h=new vf(r,l,[c,s]);return this.compileAndRun(h,[p,d]).reshape(u)}},{key:"fill",value:function(e,t,n){if("string"===(n=n||a.de.inferDtype(t))){var r=a.de.getArrayFromDType(n,a.de.sizeFromShape(e));return r.fill(t),Object(a.zc)().makeTensor(r,e,n,this)}var i=new pf(e,t),o=i.getCustomSetupFunc(t);return this.compileAndRun(i,[],n,o)}},{key:"onesLike",value:function(e){if("string"===e.dtype)throw new Error("onesLike is not supported under string dtype");return this.fill(e.shape,1,e.dtype)}},{key:"zerosLike",value:function(e){return this.fill(e.shape,"string"===e.dtype?"":0,e.dtype)}},{key:"linspace",value:function(e,t,n){return a.bc.linspaceImpl(e,t,n)}},{key:"makeTensorInfo",value:function(e,t,n){var r=this.write(n,e,t);return this.texData.get(r).usage=null,{dataId:r,shape:e,dtype:t}}},{key:"makeOutput",value:function(e,t,n){var r=this.makeTensorInfo(e,t,n).dataId;return Object(a.zc)().makeTensorFromDataId(r,e,t,this)}},{key:"unpackTensor",value:function(e){var t=new Rd(e.shape);return this.runWebGLProgram(t,[e],e.dtype)}},{key:"packTensor",value:function(e){var t=new Bf(e.shape);return this.runWebGLProgram(t,[e],e.dtype,null,!0)}},{key:"packedReshape",value:function(e,t){var n=[Ps(e.shape)].concat(Object(l.a)(Bs(e.shape))),r={dtype:e.dtype,shape:n,dataId:e.dataId},a=[Ps(t)].concat(Object(l.a)(Bs(t))),i=new qf(a,n),o=this.runWebGLProgram(i,[r],e.dtype,null,!0);return{dataId:o.dataId,shape:t,dtype:o.dtype}}},{key:"decode",value:function(e){var t,n=this.texData.get(e),r=n.isPacked,a=n.shape,i=n.dtype,o=Ws(a);t=r?new of(o):new af(o);return{dtype:i,shape:a,dataId:this.runWebGLProgram(t,[{shape:o,dtype:i,dataId:e}],i,null,!0).dataId}}},{key:"runWebGLProgram",value:function(e,t,n,r){var i=this,o=arguments.length>4&&void 0!==arguments[4]&&arguments[4],u=this.makeTensorInfo(e.outputShape,n),c=this.texData.get(u.dataId);if(e.packedOutput&&(c.isPacked=!0),e.outPackingScheme===ds.DENSE){var s=ys(e.outputShape);c.texShape=s.map((function(e){return 2*e}))}if(null!=e.outTexUsage&&(c.usage=e.outTexUsage),0===a.de.sizeFromShape(u.shape))return c.values=a.de.getTypedArrayFromDType(u.dtype,0),u;var l=[],f=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&&a.de.sizeFromShape(t.shape)<=Object(a.Ac)().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&&!Vs(n.shape,t.shape)){var r=t,o=t.shape;t.shape=n.shape,t=i.packedReshape(t,o),l.push(t),n=i.texData.get(t.dataId),r.shape=o}return i.uploadToGPU(t.dataId),{shape:t.shape,texData:n,isUniform:!1}}));this.uploadToGPU(u.dataId);var d,p={shape:u.shape,texData:c,isUniform:!1},h=Tf(e,f,p),v=this.getAndSaveBinary(h,(function(){return If(i.gpgpu,e,f,p)})),b=null!=this.activeTimers;if(b&&(d=this.startTimer()),Ef(this.gpgpu,v,f,p,r),l.forEach((function(e){return i.disposeIntermediateTensorInfo(e)})),b&&(d=this.endTimer(d),this.activeTimers.push({name:e.constructor.name,query:this.getQueryTime(d)})),!Object(a.Ac)().getBool("WEBGL_LAZILY_UNPACK")&&c.isPacked&&!1===o){var m=this.unpackTensor(u);return this.disposeIntermediateTensorInfo(u),m}return u}},{key:"compileAndRun",value:function(e,t,n,r){var i=arguments.length>4&&void 0!==arguments[4]&&arguments[4];n=n||t[0].dtype;var o=this.runWebGLProgram(e,t,n,r,i);return Object(a.zc)().makeTensorFromDataId(o.dataId,o.shape,o.dtype)}},{key:"getAndSaveBinary",value:function(e,t){return e in this.binaryCache||(this.binaryCache[e]=t()),this.binaryCache[e]}},{key:"getTextureManager",value:function(){return this.textureManager}},{key:"dispose",value:function(){var e=this;if(!this.disposed){if(!Object(a.Ac)().getBool("IS_TEST"))Object.keys(this.binaryCache).forEach((function(t){e.gpgpu.deleteProgram(e.binaryCache[t].webGLProgram),delete e.binaryCache[t]}

2));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}}},{key:"floatPrecision",value:function(){var e=this;return null==this.floatPrecisionValue&&(this.floatPrecisionValue=Object(a.Wd)((function(){if(!Object(a.Ac)().get("WEBGL_RENDER_FLOAT32_ENABLED")){var t=Object(a.Ac)().getBool("DEBUG");Object(a.Ac)().set("DEBUG",!1);var n=e.abs(Object(a.vd)(1e-8)).dataSync()[0];if(Object(a.Ac)().set("DEBUG",t),n>0)return 32}return 16}))),this.floatPrecisionValue}},{key:"epsilon",value:function(){return 32===this.floatPrecision()?1e-7:1e-4}},{key:"uploadToGPU",value:function(e){var t=this.texData.get(e),n=t.shape,r=t.dtype,i=t.values,o=t.texture,u=t.usage,c=t.isPacked;if(null==o){var s,l=null!=this.activeTimers;l&&(s=a.de.now());var d=t.texShape;if(null==d&&(d=function(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=Object(a.Ac)().getNumber("WEBGL_MAX_TEXTURE_SIZE");if(t&&(n*=2,1===(e=e.map((function(t,n){return n>=e.length-2?a.de.nearestLargerEven(e[n]):e[n]}))).length&&(e=[2,e[0]])),2!==e.length){var r=a.de.squeezeShape(e);e=r.newShape}var i=a.de.sizeFromShape(e);if(e.length<=1&&i<=n)return[1,i];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 o=Ps(e),u=2,c=2;if(e.length){var s=Bs(e),l=Object(f.a)(s,2);u=l[0],c=l[1]}return i=o*(u/2)*(c/2),a.de.sizeToSquarishShape(i).map((function(e){return 2*e}))}return a.de.sizeToSquarishShape(i)}(n,c),t.texShape=d),null!=i){var p,h=Ws(n),v=d[1],b=d[0],m=i instanceof Uint8Array;

2if(c){var g=Os(d[0],d[1]),y=Object(f.a)(g,2);v=y[0],b=y[1],p=new df(h,[b,v],m)}else p=new ff(h,[b,v],m);var O=this.makeTensorInfo([b,v],r);this.texData.get(O.dataId).usage=m?ps.PIXELS:ps.UPLOAD,this.gpgpu.uploadDenseMatrixToTexture(this.getTexture(O.dataId),v,b,i);var k=this.runWebGLProgram(p,[O],r,null,!0),x=this.texData.get(k.dataId);t.texture=x.texture,t.texShape=x.texShape,t.isPacked=x.isPacked,t.usage=x.usage,this.disposeIntermediateTensorInfo(O),this.texData.delete(k.dataId),t.values=null,l&&(this.uploadWaitMs+=a.de.now()-s)}else{var w=this.acquireTexture(d,u,r,c);t.texture=w}}}},{key:"convertAndCacheOnCPU",value: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 ".concat(t))}(t,r)),n.values}},{key:"acquireTexture",value: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: ".concat(a," MB, ")+"most likely due to a memory leak")}return this.textureManager.acquireTexture(e,t,r)}},{key:"computeBytes",value:function(e,t){return e[0]*e[1]*a.de.bytesPerElement(t)}},{key:"tryRunOnCpuOrThrow",value:function(e,t){if(this.shouldExecuteOnCPU(e))try{return t()}catch(n){if(Object(a.Ac)().getBool("IS_TEST"))throw new Error("CPU forwarding failed")}return null}}]),n}(a.Z);a.uc.isBrowser()&&Object(a.qd)("webgl",(function(){return new Bd}),2);function Wd(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 Ud={kernelName:a.U,backendName:"webgl",kernelFunc:Wd};function Vd(e){var t=e.inputs,n=e.backend,r=t.real,a=t.imag,i=n.makeTensorInfo(r.shape,"complex64"),o=n.texData.get(i.dataId),u=Wd({inputs:{x:r},backend:n});n.texData.get(u.dataId).complexParentRefCount++;var c=Wd({inputs:{x:a},backend:n});return n.texData.get(c.dataId).complexParentRefCount++,o.complexTensorInfos={real:u,imag:c},i}var Gd={kernelName:a.p,backendName:"webgl",kernelFunc:Vd};function Hd(e){return function(t){var n=t.inputs,r=t.backend,a=n.x,i=r,o=new dd(a.shape,e);return i.runWebGLProgram(o,[a],a.dtype)}}function qd(e){var t=e.opSnippet,n=e.packedOpSnippet,r=e.checkOutOfBounds,i=void 0!==r&&r,o=e.supportsComplex,u=void 0!==o&&o,c=e.cpuKernelImpl,s=e.dtype;return function(e){var r=e.inputs,o=e.backend,l=r.a,d=r.b,p=o;if(u&&"complex64"===l.dtype){var h=p.texData.get(l.dataId),v=p.texData.get(d.dataId),b=[[h.complexTensorInfos.real,v.complexTensorInfos.real],[h.complexTensorInfos.imag,v.complexTensorInfos.imag]].map((function(e){var n=Object(f.a)(e,2),r=n[0],i=n[1],o={dataId:r.dataId,dtype:r.dtype,shape:l.shape},u={dataId:i.dataId,dtype:i.dtype,shape:d.shape},c=new zl(t,l.shape,d.shape);return p.runWebGLProgram(c,[o,u],Object(a.ce)(r.dtype,i.dtype))})),m=Object(f.a)(b,2),g=m[0],y=m[1],O=Vd({inputs:{real:g,imag:y},backend:p});return p.disposeIntermediateTensorInfo(g),p.disposeIntermediateTensorInfo(y),O}var k,x=s||Object(a.ce)(l.dtype,d.dtype);if(p.shouldExecuteOnCPU([l,d])&&null!=c){var w=p.texData.get(l.dataId),j=p.texData.get(d.dataId),S=c(l.shape,d.shape,w.values,j.values,x),N=Object(f.a)(S,2),I=N[0],C=N[1],E=p.makeTensorInfo(C,x);return p.texData.get(E.dataId).values=I,E}return k=Object(a.Ac)().getBool("WEBGL_PACK_BINARY_OPERATIONS")&&null!=n?new Bl(n,l.shape,d.shape,i):new zl(t,l.shape,d.shape),p.runWebGLProgram(k,[l,d],x)}}var Kd="return a + b;",Xd=qd({opSnippet:Kd,packedOpSnippet:Kd,supportsComplex:!0,cpuKernelImpl:Js}),Yd={kernelName:a.d,backendName:"webgl",kernelFunc:Xd},Qd=qd({opSnippet:"\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",packedOpSnippet:"\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"}),Jd={kernelName:a.h,backendName:"webgl",kernelFunc:Qd};var Zd={kernelName:a.j,backendName:"webgl",kernelFunc:function(e){var t=e.input

2s,n=e.backend,r=e.attrs,i=t.x;Xs(i,"avgPool");var o=r.filterSize,u=r.strides,c=r.pad,s=r.dimRoundingMode;a.de.assert(a.bc.eitherStridesOrDilationsAreOne(u,1),(function(){return"Error in avgPool: Either strides or dilations must be 1. "+"Got strides ".concat(u," and dilations '").concat(1,"'")}));var l=a.bc.computePool2DInfo(i.shape,o,u,1,c,s);if(1===l.filterWidth&&1===l.filterHeight&&a.de.arraysEqual(l.inShape,l.outShape))return Wd({inputs:{x:i},backend:n});var f=new Vf(l,"avg",!1);return n.runWebGLProgram(f,[i],"float32")}};var $d={kernelName:a.k,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.dy,o=t.input,u=o;Xs([i,o],"avgPoolBackprop");var c=r.filterSize,s=r.strides,l=r.pad,f=a.bc.computePool2DInfo(u.shape,c,s,1,l),d=new Fl(f);return n.runWebGLProgram(d,[i],u.dtype)}},ep=function e(t,n,r,o,u,c){Object(i.a)(this,e),this.outputShape=[],this.variableNames=["x","mean","variance"],a.bc.assertAndGetBroadcastShape(t,n),a.bc.assertAndGetBroadcastShape(t,r);var s="0.0";null!=o&&(a.bc.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var l="1.0";null!=u&&(a.bc.assertAndGetBroadcastShape(t,u),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = ".concat(s,";\n        float scale = ").concat(l,";\n        float inv = scale * inversesqrt(variance + float(").concat(c,"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    ")},tp=function e(t,n,r,o,u,c){Object(i.a)(this,e),this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],a.bc.assertAndGetBroadcastShape(t,n),a.bc.assertAndGetBroadcastShape(t,r);var s="vec4(0.0)";null!=o&&(a.bc.assertAndGetBroadcastShape(t,o),this.variableNames.push("offset"),s="getOffsetAtOutCoords()");var l="vec4(1.0)";null!=u&&(a.bc.assertAndGetBroadcastShape(t,u),this.variableNames.push("scale"),l="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = ".concat(s,";\n        vec4 scale = ").concat(l,";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4(").concat(c,"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    ")},np={kernelName:a.Q,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=t.mean,u=t.variance,c=t.offset,s=t.scale;a.de.assert(o.shape.length===u.shape.length,(function(){return"Batch normalization gradient requires mean and variance to have equal ranks."})),a.de.assert(null==c||o.shape.length===c.shape.length,(function(){return"Batch normalization gradient requires mean and offset to have equal ranks."})),a.de.assert(null==s||o.shape.length===s.shape.length,(function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}));var l=r.varianceEpsilon;null==l&&(l=.001);var f=[i,o,u],d=null;null!=c&&(d=c.shape,f.push(c));var p=null;null!=s&&(p=s.shape,f.push(s));var h=Object(a.Ac)().getBool("WEBGL_PACK_NORMALIZATION")?new tp(i.shape,o.shape,u.shape,d,p,l):new ep(i.shape,o.shape,u.shape,d,p,l);return n.runWebGLProgram(h,f,f[0].dtype)}},rp=qd({opSnippet:"return float(a != b);",dtype:"bool"}),ap={kernelName:a.nb,backendName:"webgl",kernelFunc:rp};function ip(e){var t=e.inputs,n=e.backend,r=t.input;return Wd({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.real},backend:n})}var op={kernelName:a.rb,backendName:"webgl",kernelFunc:ip};var up={kernelName:a.m,backendName:"webgl",kernelFunc:function e(t){var n=t.inputs,r=t.backend,i=t.attrs,o=n.x,u=i.dtype;if("complex64"===u){if("complex64"===o.dtype)return Wd({inputs:{x:o},backend:r});var c=a.ie(o.shape),s=e({inputs:{x:o},backend:r,attrs:{dtype:"float32"}}),l=Vd({inputs:{real:s,imag:c},backend:r});return c.dispose(),r.disposeIntermediateTensorInfo(s),l}if("complex64"===o.dtype){var f=ip({inputs:{input:o},backend:r}),d=e({inputs:{x:f},backend:r,attrs:{dtype:u}});return r.disposeIntermediateTensorInfo(f),d}

2if(!a.de.hasEncodingLoss(o.dtype,u)){var p=Wd({inputs:{x:o},backend:r});return{dataId:p.dataId,shape:p.shape,dtype:u}}if("int32"===u)return function(e,t){var n=new dd(e.shape,"return float(int(x));"),r=t.runWebGLProgram(n,[e],"int32");return{dataId:r.dataId,shape:r.shape,dtype:r.dtype}}(o,r);if("bool"===u){var h=r.makeTensorInfo([],"bool",a.de.getTypedArrayFromDType("bool",1)),v=rp({inputs:{a:o,b:h},backend:r});return r.disposeIntermediateTensorInfo(h),v}throw new Error("Error in Cast: failed to cast ".concat(o.dtype," to ").concat(u))}},cp=function e(t){Object(i.a)(this,e),this.outputShape=[],this.outputShape=a.bc.computeOutShape(t,1),this.variableNames=t.map((function(e,t){return"T".concat(t)}));var n=new Array(t.length-1);n[0]=t[0][1];for(var r=1;r<n.length;r++)n[r]=n[r-1]+t[r][1];for(var o=["if (yC < ".concat(n[0],") setOutput(getT0(yR, yC));")],u=1;u<n.length;u++){var c=n[u-1];o.push("else if (yC < ".concat(n[u],") ")+"setOutput(getT".concat(u,"(yR, yC-").concat(c,"));"))}var s=n.length,l=n[n.length-1];o.push("else setOutput(getT".concat(s,"(yR, yC-").concat(l,"));")),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        ".concat(o.join("\n        "),"\n      }\n    ")},sp=function e(t,n){Object(i.a)(this,e),this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=a.bc.computeOutShape(t,n);var r=this.outputShape,o=r.length,u=Al(o),c=hl("coords",o),s=["x","y","z","w","u","v"].slice(0,o);this.variableNames=t.map((function(e,t){return"T".concat(t)}));var l=new Array(t.length-1);l[0]=t[0][n];for(var f=1;f<l.length;f++)l[f]=l[f-1]+t[f][n];for(var d=s[n],p=s.slice(-2),h=s.join(),v="if (".concat(d," < ").concat(l[0],") {\n        return getChannel(\n            getT0(").concat(h,"), vec2(").concat(p.join(),"));\n        }"),b=1;b<l.length;b++){var m=l[b-1];v+="\n        if (".concat(d," < ").concat(l[b],"  && ").concat(d," >= ").concat(l[b-1],") {\n          return getChannel(\n            getT").concat(b,"(").concat(lp(s,d,m),"),\n            vec2(").concat(lp(p,d,m),"));\n        }")}var g=l.length,y=l[l.length-1];v+="\n        return getChannel(\n          getT".concat(g,"(").concat(lp(s,d,y),"),\n          vec2(").concat(lp(p,d,y),"));"),this.userCode="\n      float getValue(".concat(s.map((function(e){return"int "+e})),") {\n        ").concat(v,"\n      }\n\n      void main() {\n        ").concat(u," coords = getOutputCoords();\n        vec4 result = vec4(getValue(").concat(c,"), 0., 0., 0.);\n\n        ").concat(c[o-1]," = ").concat(c[o-1]," + 1;\n        if (").concat(c[o-1]," < ").concat(r[o-1],") {\n          result.g = getValue(").concat(c,");\n        }\n\n        ").concat(c[o-2]," = ").concat(c[o-2]," + 1;\n        if (").concat(c[o-2]," < ").concat(r[o-2],") {\n          result.a = getValue(").concat(c,");\n        }\n\n        ").concat(c[o-1]," = ").concat(c[o-1]," - 1;\n        if (").concat(c[o-2]," < ").concat(r[o-2]," &&\n            ").concat(c[o-1]," < ").concat(r[o-1],") {\n          result.b = getValue(").concat(c,");\n        }\n        setOutput(result);\n      }\n    ")};function lp(e,t,n){var r=e.indexOf(t);return e.map((function(e,t){return t===r?"".concat(e," - ").concat(n):e})).join()}function fp(e){var t=e.inputs,n=e.backend,r=t.input;return Wd({inputs:{x:n.texData.get(r.dataId).complexTensorInfos.imag},backend:n})}var dp={kernelName:a.V,backendName:"webgl",kernelFunc:fp};function pp(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x,o=r.shape,u=n,c=a.de.sizeFromShape(i.shape),s=a.de.inferFromImplicitShape(o,c),f=a.de.sizeFromShape(s);a.de.assert(c===f,(function(){return"The new shape (".concat(s,") has ").concat(f," elements and the old ")+"shape (".concat(i.shape,") has ").concat(c," elements. The new shape and old ")+"shape must have the same number of elements."}));var d=u.texData.get(i.dataId);return!d.isPacked||Vs(i.shape,s)||null!==d.texture&&Vs(d.shape,s)?(u.incRef(i.dataId),{dataId:i.dataId,shape:s,dtype:i.dtype}):function(e,t,n){var r=[Ps(e.shape)].concat(Object(l.a)(Bs(e.shape))),a={dtype:e.dtype,shape:r,dataId:e.dataId},i=[Ps(t)].concat(Object(l.a)(Bs(t))),o=new qf(i,r),u=n.runWebGLProgram(o,[a],e.dtype,null,!0);return{dataId:u.dataId,shape:t,dtype:u.dtype}}(i,s,u)}var hp={kernelName:a.vb,backendName:"webgl",kernelFunc:pp};function vp(e,t,n){var r=e[0].dtype;if("complex64"===r){var i=e.map((function(e){return ip({inputs:{input:e},backend:n})}

2)),o=e.map((function(e){return fp({inputs:{input:e},backend:n})})),u=vp(i,t,n),c=vp(o,t,n),s=Vd({inputs:{real:u,imag:c},backend:n});return i.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),o.forEach((function(e){return n.disposeIntermediateTensorInfo(e)})),n.disposeIntermediateTensorInfo(u),n.disposeIntermediateTensorInfo(c),s}if(e.length>Object(a.Ac)().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var l=Math.floor(e.length/2),f=vp(e.slice(0,l),t,n),d=vp(e.slice(l),t,n),p=vp([f,d],t,n);return n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d),p}if(Object(a.Ac)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&e[0].shape.length>1){var h=new sp(e.map((function(e){return e.shape})),t);return n.runWebGLProgram(h,e,r)}var v=a.bc.computeOutShape(e.map((function(e){return e.shape})),t),b=e.map((function(e){return pp({inputs:{x:e},attrs:{shape:[-1,a.de.sizeFromShape(e.shape.slice(t))]},backend:n})})),m=new cp(b.map((function(e){return e.shape}))),g=n.runWebGLProgram(m,b,r);b.forEach((function(e){return n.disposeIntermediateTensorInfo(e)}));var y=pp({inputs:{x:g},attrs:{shape:v},backend:n});return n.disposeIntermediateTensorInfo(g),y}var bp={kernelName:a.q,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs.axis,i=a.de.parseAxisParam(r,t[0].shape)[0],o=a.bc.computeOutShape(t.map((function(e){return e.shape})),i);if(0===a.de.sizeFromShape(o))return n.makeTensorInfo(o,t[0].dtype,[]);var u=t.filter((function(e){return a.de.sizeFromShape(e.shape)>0}));if(1===u.length)return u[0];var c=u.map((function(e){return e.shape}));return a.bc.assertParamsConsistent(c,i),vp(u,i,n)}},mp=Hd("if (isnan(x)) return x;\n  return cos(x);\n"),gp={kernelName:a.x,backendName:"webgl",kernelFunc:mp},yp=qd({opSnippet:"\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",packedOpSnippet:"\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",checkOutOfBounds:!0}),Op={kernelName:a.G,backendName:"webgl",kernelFunc:yp},kp=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["real","imag"];var a=n[1];this.outputShape=n;var o,u=r?"2.0 * ".concat(Math.PI):"-2.0 * ".concat(Math.PI),c=r?"".concat(a,".0"):"1.0";if("real"===t)o="return real * expR - imag * expI;";else{if("imag"!==t)throw new Error('FFT component must be either "real" or "imag", got '.concat(t,"."));o="return real * expI + imag * expR;"}this.userCode="\n      const float exponentMultiplier = ".concat(u,";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        ").concat(o,"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float(").concat(a,");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < ").concat(a,"; 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) / ").concat(c,";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    ")};function xp(e,t,n){var r=n.texData.get(e.dataId),i=a.de.sizeFromShape(e.shape),o=e.shape[e.shape.length-1],u=pp({inputs:{x:e},backend:n,attrs:{shape:[i/o,o]}}).shape,c=new kp("real",u,t),s=new kp("imag",u,t),l=[{dataId:r.complexTensorInfos.real.dataId,dtype:r.complexTensorInfos.real.dtype,shape:u},{dataId:r.complexTensorInfos.imag.dataId,dtype:r.complexTensorInfos.imag.dtype,shape:u}],f=n.runWebGLProgram(c,l,"float32"),d=n.runWebGLProgram(s,l,"float32"),p=Vd({inputs:{real:f,imag:d},backend:n});n.disposeIntermediateTensorInfo(f),n.disposeIntermediateTensorInfo(d);var h=pp({inputs:{x:p},backend:n,attrs:{shape:e.shape}});return n.disposeIntermediateTensorInfo(h),h}var wp,jp={kernelName:a.L,backendName:"webgl",kernelFunc:function(e){var t=e.input

2s,n=e.backend;return xp(t.input,!1,n)}},Sp=function e(t){Object(i.a)(this,e),this.variableNames=["Image"],this.outputShape=[];var n=t[2];this.outputShape=t,this.userCode="\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int x = coords[2];\n\n          int coordX = ".concat(n," - x;\n          float outputValue;\n          if(coordX >= 0 && coordX < ").concat(n,") {\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    ")},Np={kernelName:a.N,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=t.image,a=n,i=new Sp(r.shape);return a.runWebGLProgram(i,[r],r.dtype)}},Ip=function e(t){Object(i.a)(this,e),this.variableNames=["A"];var n=vl(),r=Object(f.a)(t,2),a=r[0],o=r[1];this.outputShape=t,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(".concat(o,".0, ").concat(a,".0);\n\n        vec4 values = ").concat(n.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    ")},Cp=function e(t){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var n=vl(),r=Object(f.a)(t,2),a=r[0],o=r[1];this.outputShape=t,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(".concat(o,".0, ").concat(a,".0);\n            vec4 values = ").concat(n.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        ").concat(n.output," = result;\n      }\n    ")},Ep={kernelName:a.P,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.pixels,o=r.numChannels,u="undefined"!==typeof HTMLVideoElement&&i instanceof HTMLVideoElement,c="undefined"!==typeof HTMLImageElement&&i instanceof HTMLImageElement,s=u?[i.videoWidth,i.videoHeight]:[i.width,i.height],l=Object(f.a)(s,2),d=l[0],p=l[1],h=[p,d],v=[p,d,o];(c||u)&&(null==wp&&(wp=document.createElement("canvas").getContext("2d")),wp.canvas.width=d,wp.canvas.height=p,wp.drawImage(i,0,0,d,p),i=wp.canvas);var b=n.makeTensorInfo(h,"int32");n.texData.get(b.dataId).usage=ps.PIXELS,n.gpgpu.uploadPixelDataToTexture(n.getTexture(b.dataId),i);var m=Object(a.Ac)().getBool("WEBGL_PACK")?new Cp(v):new Ip(v),g=n.runWebGLProgram(m,[b],"int32");return n.disposeData(b.dataId),g}};var Tp={kernelName:a.T,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend;return xp(t.input,!0,n)}},Ap=function e(t,n){Object(i.a)(this,e),this.variableNames=["x"];var r=t.windowSize,o=t.batchSize,u=t.inSize,c=t.outSize;this.outputShape=[o,c];var s=4*Math.floor(r/4),l=r%4,f="sumValue += dot(values, ones);";if(null!=n){var d=1/n;f="sumValue += dot(values * ".concat(a.de.isInt(d)?d.toPrecision(2):d,", ones);")}var p="";u%r>0&&(p="\n        if (inIdx < 0 || inIdx >= ".concat(u,") {\n          return 0.0;\n        }\n      ")),this.userCode="\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        ".concat(p,"\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 * ").concat(r,";\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < ").concat(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          ").concat(f,"\n        }\n\n        int inIdx = inOffset + ").concat(s,";\n        if (").concat(1===l,") {\n          vec4 values = vec4(getValue(batch, inIdx), 0.0, 0.0, 0.0);\n\n          ").concat(f,"\n        } else if (").concat(2===l,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1), 0.0, 0.0);\n\n          ").concat(f,"\n        } else if (").concat(3===l,") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2), 0.0);\n\n          ").concat(f,"\n        }\n        setOutput(sumValue);\n      }\n    ")};function Rp(e,t,n,r){for(var i=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=a.bc.computeOptimalWindowSize(n);t.push({inSize:n,windowSize:r,outSize:Math.ceil(n/r)})}return t}(e.shape),o=e,u=0;u<i.length;u++){var c,s=i[u],l=s.inSize,f=s.windowSize,d=s.outSize,p=void 0;p="mean"===n?0===u?new Ap({windowSize:f,inSize:l,batchSize:e.shape[0],outSize:d},l):new Ap({windowSize:f,inSize:l,batchSize:e.shape[0],outSize:d}):new Hf({windowSize:f,inSize:l,batchSize:e.shape[0],outSize:d}

2,n),c=o,o=r.runWebGLProgram(p,[o],t),c.dataId!==e.dataId&&r.disposeIntermediateTensorInfo(c)}return o}var _p=function e(t,n){Object(i.a)(this,e),this.variableNames=["A"];for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];this.outputShape=r,this.rank=r.length;var o=Al(this.rank),u=function(e){var t=e.length;if(t>6)throw Error("Transpose for rank ".concat(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()}(n);this.userCode="\n    void main() {\n      ".concat(o," resRC = getOutputCoords();\n      setOutput(getA(").concat(u,"));\n    }\n    ")};var Dp=function e(t,n){Object(i.a)(this,e),this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var r=new Array(t.length),a=0;a<r.length;a++)r[a]=t[n[a]];if(this.outputShape=r,this.rank=r.length,this.rank>6)throw Error("Packed transpose for rank ".concat(this.rank," is not yet supported."));for(var o=Al(this.rank),u=pl("rc",this.rank),c=new Array(this.rank),s=0;s<n.length;s++)c[n[s]]=u[s];var l="vec2(".concat(c.slice(-2).join(),")"),f="++".concat(u[this.rank-1]," < ").concat(r[this.rank-1]),d="getChannel(getA(".concat(c.join(),"), ").concat(l,")");this.userCode="\n    void main() {\n      ".concat(o," rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = ").concat(d,";\n      if(").concat(f,") {\n        result[1] = ").concat(d,";\n      }\n      --").concat(u[this.rank-1],";\n      if(++").concat(u[this.rank-2]," < ").concat(r[this.rank-2],") {\n        result[2] = ").concat(d,";\n        if(").concat(f,") {\n          result[3] = ").concat(d,";\n        }\n      }\n      setOutput(result);\n    }\n    ")};function Fp(e,t,n){var r=Object(a.Ac)().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Dp(e.shape,t):new _p(e.shape,t);return n.runWebGLProgram(r,[e],e.dtype)}var Mp={kernelName:a.db,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,i=t.x,o=n.reductionIndices,u=n.keepDims,c=r,s=i.shape.length,l=a.de.parseAxisParam(o,i.shape),d=l,p=a.bc.getAxesPermutation(d,s),h=null!=p,v=c.shouldExecuteOnCPU([i]),b=i;if(h){if(v){for(var m=c.texData.get(b.dataId).values,g=new Array(s),y=0;y<g.length;y++)g[y]=i.shape[p[y]];var O=cl(m,i.shape,i.dtype,p,g);b=c.makeTensorInfo(g,i.dtype),c.texData.get(b.dataId).values=O}else b=Fp(i,p,c);d=a.bc.getInnerMostAxes(d.length,s)}a.bc.assertAxesAreInnerMostDims("max",d,s);var k,x=a.bc.computeOutAndReduceShapes(b.shape,d),w=Object(f.a)(x,2),j=w[0],S=w[1],N=j;if(u&&(N=a.bc.expandShapeToKeepDim(j,l)),v){var I=c.texData.get(b.dataId).values,C=rl(I,a.de.sizeFromShape(S),N,i.dtype);k=c.makeTensorInfo(N,i.dtype),c.texData.get(k.dataId).values=C}else k=function(e,t,n,r){var i=a.de.sizeFromShape(t),o=pp({inputs:{x:e},attrs:{shape:[a.de.sizeFromShape(e.shape)/i,i]},backend:r}),u=Rp(o,e.dtype,"max",r),c=pp({inputs:{x:u},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(u),c}(b,S,N,c);return h&&c.disposeIntermediateTensorInfo(b),k}};var Lp={kernelName:a.eb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.x;Xs(i,"maxPool");var o=r.filterSize,u=r.strides,c=r.pad,s=r.dimRoundingMode;a.de.assert(a.bc.eitherStridesOrDilationsAreOne(u,1),(function(){return"Error in maxPool: Either strides or dilations must be 1. "+"Got strides ".concat(u," and dilations '").concat(1,"'")}));var l=a.bc.computePool2DInfo(i.shape,o,u,1,c,s);if(1===l.filterWidth&&1===l.filterHeight&&a.de.arraysEqual(l.inShape,l.outShape))return Wd({inputs:{x:i},backend:n});var f=new Vf(l,"max",!1);return n.runWebGLProgram(f,[i],i.dtype)}};var zp={kernelName:a.fb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.backend,r=e.attrs,i=t.dy,o=t.input,u=o;Xs([o,t.output],"maxPoolBackprop");var c=r.filterSize,s=r.strides,l=r.pad,f=r.dimRoundingMode,d=a.bc.computePool2DInfo(u.shape,c,s,1,l,f),p=new Vf(d,"max",!0),h=n.runWebGLProgram(p,[u],u.dtype),v=new Ff(d),b=n.runWebGLProgram(v,[i,h],u.dtype);return n.disposeIntermediateTensorInfo(h),b}};var Pp={kernelName:a.gb,backendName:"webgl",kernelFunc:function(e){var t=e.input

2s,n=e.attrs,r=e.backend,i=t.x,o=n.filterSize,u=n.strides,c=n.pad,s=n.includeBatchInIndex,l=r;a.de.assert(4===i.shape.length,(function(){return"Error in maxPool: input must be rank 4 but got rank ".concat(i.shape.length,".")}));var d=[1,1];a.de.assert(a.bc.eitherStridesOrDilationsAreOne(u,d),(function(){return"Error in maxPool: Either strides or dilations must be 1. "+"Got strides ".concat(u," and dilations '").concat(d,"'")}));var p=a.bc.computePool2DInfo(i.shape,o,u,d,c),h=function(e,t,n,r){var a=new Vf(n,"max",!1),i=r.runWebGLProgram(a,[e],"float32");return a=new Vf(n,"max",!0,!0,t),[i,r.runWebGLProgram(a,[e],"float32")]}(i,s,p,l),v=Object(f.a)(h,2);return[v[0],v[1]]}};var Bp={kernelName:a.hb,backendName:"webgl",kernelFunc:function(e){var t=e.inputs,n=e.attrs,r=e.backend,i=t.x,o=n.keepDims,u=n.axis,c=r,s=i.shape.length,l=a.de.parseAxisParam(u,i.shape),d=l,p=a.bc.getAxesPermutation(d,s),h=null!=p,v=c.shouldExecuteOnCPU([i]),b=[],m=i;if(h){if(v){for(var g=c.texData.get(m.dataId).values,y=new Array(s),O=0;O<y.length;O++)y[O]=i.shape[p[O]];var k=cl(g,i.shape,i.dtype,p,y);m=c.makeTensorInfo(y,i.dtype),c.texData.get(m.dataId).values=k}else m=Fp(i,p,c);b.push(m),d=a.bc.getInnerMostAxes(d.length,s)}a.bc.assertAxesAreInnerMostDims("sum",d,s);var x=a.bc.computeOutAndReduceShapes(m.shape,d),w=Object(f.a)(x,2),j=w[0],S=w[1],N=j;o&&(N=a.bc.expandShapeToKeepDim(j,l));for(var I=function(e,t,n,r){var i=a.de.sizeFromShape(t),o=pp({inputs:{x:e},attrs:{shape:[a.de.sizeFromShape(e.shape)/i,i]},backend:r}),u=Rp(o,"float32","mean",r),c=pp({inputs:{x:u},attrs:{shape:n},backend:r});return r.disposeIntermediateTensorInfo(o),r.disposeIntermediateTensorInfo(u),c}(m,S,N,c),C=0,E=b;C<E.length;C++){var T=E[C];c.disposeIntermediateTensorInfo(T)}return I}},Wp=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["x"],this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,o=Al(a),u=n.map((function(e){return e[0]})).join(","),c=n.map((function(e,n){return e[0]+t[n]})).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,a),l="reflect"===r?0:1;this.userCode=1!==a?"\n      ".concat(o," start = ").concat(o,"(").concat(u,");\n      ").concat(o," end = ").concat(o,"(").concat(c,");\n\n      void main() {\n        ").concat(o," outC = getOutputCoords();\n        for (int i = 0; i < ").concat(a,"; i++) {\n          if (outC[i] < start[i]) {\n            outC[i] = start[i] * 2 - outC[i] - ").concat(l,";\n          } else if(outC[i] >= end[i]) {\n            outC[i] = (end[i] - 1) * 2 - outC[i] + ").concat(l,";\n          }\n        }\n        ").concat(o," coords = outC - start;\n        setOutput(getX(").concat(s,"));\n      }\n    "):"\n        int start = ".concat(u,";\n        int end = ").concat(c,";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start) {\n            outC = start * 2 - outC - ").concat(l,";\n          } else if(outC >= end) {\n            outC = (end - 1) * 2 - outC + ").concat(l,";\n          }\n          setOutput(getX(outC - start));\n        }\n      ")},Up=function e(t,n,r){Object(i.a)(this,e),this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=n.map((function(e,n){return e[0]+t[n]+e[1]}));var a=t.length,o=Al(a),u=n.map((function(e){return e[0]})).join(","),c=n.map((function(e,n){return e[0]+t[n]})).join(","),s=hl("rc",a),l=hl("source",a),f="".concat(s[a-1]," < ").concat(this.outputShape[a-1]),d=1===a?"source":"vec2(".concat(l.slice(-2).join(),")"),p="reflect"===r?0:1,h="";if(1===a){var v="\n        ".concat(o," source = rc;\n        if (source < start) {\n          source = start * 2 - source - ").concat(p,";\n        } else if (source >= end) {\n          source = (end - 1) * 2 - source + ").concat(p,";\n        }\n        source -= start;\n      ");h="\n        ".concat(o," rc = outputLoc;\n        ").concat(v,"\n        result[0] = getChannel(getX(").concat(l.join(),"), ").concat(d,");\n        ").concat(s[a-1]," += 1;\n        if(").concat(f,") {\n          ").concat(v,"\n          result[1] = getChannel(getX(").concat(l.join(),"), ").concat(d,");\n        }\n      ")}else{var b="\n        ".concat(o," source = rc;\n        ").concat(o," lt = ").concat(o,"(lessThan(source, start));\n        ").concat(o," gte = ").concat(o,"(greaterThanEqual(source, end));\n        ").concat(o," orig = 1 - (lt + gte);\n        source = orig * source +\n                lt * (start * 2 - source - ").concat(p,") +\n                gte * ((end - 1) * 2 - s

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r=[{tfOpName:"NonMaxSuppressionV2",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV3",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}]},{tfOpName:"NonMaxSuppressionV4",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0},{tfName:"T_threshold",name:"threshold",type:"dtype",notSupported:!0},{tfName:"pad_to_max_output_size",name:"padToMaxOutputSize",type:"bool"}]},{tfOpName:"NonMaxSuppressionV5",category:"dynamic",inputs:[{start:0,name:"boxes",type:"tensor"},{start:1,name:"scores",type:"tensor"},{start:2,name:"maxOutputSize",type:"number"},{start:3,name:"iouThreshold",type:"number"},{start:4,name:"scoreThreshold",type:"number"},{start:5,name:"softNmsSigma",type:"number"}]},{tfOpName:"Where",category:"dynamic",inputs:[{start:0,name:"condition",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]},{tfOpName:"ListDiff",category:"dynamic",inputs:[{start:0,name:"x",type:"tensor"},{start:1,name:"y",type:"tensor"}],attrs:[{tfName:"T",name:"dtype",type:"dtype",notSupported:!0}]}]},function(e,t,n){"use 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ca(Di,1&Di.current|2),t.child}e=e.sibling}null!==r.tail&&Ba()>Vu&&(t.flags|=64,u=!0,ru(r,!1),t.lanes=33554432)}else{if(!u)if(null!==(e=Fi(s))){if(t.flags|=64,u=!0,null!==(n=e.updateQueue)&&(t.updateQueue=n,t.flags|=4),ru(r,!0),null===r.tail&&"hidden"===r.tailMode&&!s.alternate&&!zi)return null!==(t=t.lastEffect=r.lastEffect)&&(t.nextEffect=null),null}else 2*Ba()-r.renderingStartTime>Vu&&1073741824!==n&&(t.flags|=64,u=!0,ru(r,!1),t.lanes=33554432);r.isBackwards?(s.sibling=t.child,t.child=s):(null!==(n=r.last)?n.sibling=s:t.child=s,r.last=s)}return null!==r.tail?(n=r.tail,r.rendering=n,r.tail=n.sibling,r.lastEffect=t.lastEffect,r.renderingStartTime=Ba(),n.sibling=null,t=Di.current,ca(Di,u?1&t|2:1&t),n):null;case 23:case 24:return Oc(),null!==e&&null!==e.memoizedState!==(null!==t.memoizedState)&&"unstable-defer-without-hiding"!==r.mode&&(t.flags|=4),null}throw Error(o(156,t.tag))}function iu(e){switch(e.tag){case 1:ha(e.type)&&va();var t=e.flags;return 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0!==arguments[0]?arguments[0]:1,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];t.moveTo(t.state.selectedItem-("number"===typeof e?e:1),n)})),w(k(t),"increment",(function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:1,n=arguments.length>1&&void 0!==arguments[1]&&arguments[1];t.moveTo(t.state.selectedItem+("number"===typeof e?e:1),n)})),w(k(t),"moveTo",(function(e,n){if("number"===typeof e){var a=r.Children.count(t.props.children)-1,i=t.props.infiniteLoop&&!n&&(e<0||e>a),o=e;e<0&&(e=t.props.infiniteLoop?a:0),e>a&&(e=t.props.infiniteLoop?0:a),i?t.setState({swiping:!0},(function(){o<0?t.props.centerMode&&t.props.centerSlidePercentage&&"horizontal"===t.props.axis?t.setPosition(-(a+2)*t.props.centerSlidePercentage-(100-t.props.centerSlidePercentage)/2,!0):t.setPosition(100*-(a+2),!0):o>a&&t.setPosition(0,!0),t.selectItem({selectedItem:e,swiping:!1})})):t.selectItem({selectedItem:e}),t.state.autoPlay&&!1===t.state.isMouseEntered&&t.resetAutoPlay()}})),w(k(t),"onClickNext",(function(){t.increment(1,!1)})),w(k(t),"onClickPrev",(function(){t.decrement(1,!1)})),w(k(t),"onSwipeForward",(function(){t.increment(1,!0)})),w(k(t),"onSwipeBackwards",(function(){t.decrement(1,!0)})),w(k(t),"changeItem",(function(e){return function(n){(function(e){return!!e&&e.hasOwnProperty("key")})(n)&&"Enter"!==n.key||t.selectItem({selectedItem:e})}})),w(k(t),"selectItem",(function(e,n){t.setState(e,n),t.handleOnChange(e.selectedItem,r.Children.toArray(t.props.children)[e.selectedItem])})),w(k(t),"getInitialImage",(function(){var e=t.props.selectedItem,n=t.itemsRef&&t.itemsRef[e];return(n&&n.getElementsByTagName("img")||[])[0]})),w(k(t),"getVariableItemHeight",(function(e){var n=t.itemsRef&&t.itemsRef[e];if(t.state.hasMount&&n&&n.children.length){var r=n.children[0].getElementsByTagName("img")||[];if(r.length>0){var a=r[0];if(!a.complete){a.addEventListener("load",(function e(){t.forceUpdate(),a.removeEventListener("load",e)}))}}var i=n.children[0].clientHeight;return i>0?i:null}return null})),t.state={initialized:!1,selectedItem:e.selectedItem,hasMount:!1,isMouseEntered:!1,autoPlay:e.autoPlay,swiping:!1,cancelClick:!1,itemSize:1},t}return t=p,(n=[{key:"componentDidMount",value:function(){this.props.children&&this.setupCarousel()}},{key:"componentDidUpdate",value:function(e,t){e.children||!this.props.children||this.state.initialized||this.setupCarousel(),t.swiping&&!this.state.swiping&&this.resetPosition(),e.selectedItem===this.props.selectedItem&&e.centerMode===this.props.centerMode||(this.updateSizes(),this.moveTo(this.props.selectedItem)),e.autoPlay!==this.props.autoPlay&&(this.props.autoPlay?this.setupAutoPlay():this.destroyAutoPlay(),this.setState({autoPlay:this.props.autoPlay}))}},{key:"componentWillUnmount",value:function(){this.destroyCarousel()}},{key:"setupCarousel",value:function(){var e=this;this.bindEvents(),this.state.autoPlay&&r.Children.count(this.props.children)>1&&this.setupAutoPlay(),this.setState({initialized:!0},(function(){var t=e.getInitialImage();t&&!t.complete?t.addEventListener("load",e.setMountState):e.setMountState()}))}},{key:"destroyCarousel",value:function(){this.state.initialized&&(this.unbindEvents(),this.destroyAutoPlay())}},{key:"setupAutoPlay",value:function(){this.autoPlay();var e=this.carouselWrapperRef;this.props.stopOnHover&&e&&(e.addEventListener("mouseenter",this.stopOnHover),e.addEventListener("mouseleave",this.startOnLeave))}},{key:"destroyAutoPlay",value:function(){this.clearAutoPlay();var e=this.carouselWrapperRef;this.props.stopOnHover&&e&&(e.removeEventListener("mouseenter",this.stopOnHover),e.removeEventListener("mouseleave",this.startOnLeave))}},{key:"bindEvents",value:function(){(0,l.default)().addEventListener("resize",this.updateSizes),(0,l.default)().addEventListener("DOMContentLoaded",this.updateSizes),this.props.useKeyboardArrows&&(0,s.default)().addEventListener("keydown",this.navigateWithKeyboard)}},{key:"unbindEvents",value:function(){(0,l.default)().removeEventListener("resize",this.updateSizes),(0,l.default)().removeEventListener("DOMContentLoaded",this.updateSizes);var e=this.getInitialImage();e&&e.removeEventListener("load",this.setMountState),this.props.useKeyboardArrows&&(0,s.default)().removeEventListener("keydown",this.navigateWithKeyboard)}},{key:"getPosition",value:function(e){if(this.props.infiniteLoop&&++e,0===e)return 0;var t=r.Children.count(this.props.children);if(this.props.centerMode&&"horizontal"===this.props.axis){var n=-e*this.props.centerSlidePercentage,a=t-1;return e&&(e!==a||this.props.infiniteLoop)?n+=(100-this.props.centerSlidePercentage)/2:e===a&&(n+=100-this.props.centerSlidePercentage),n}return 100*-e}},{key:"renderItems",value:function(e){var t=this;return this.props.children?r.Children.map(this.props.children,(function(n,a){var i={ref:function(e){return t.setItemsRef(e,a)}

2,key:"itemKey"+a+(e?"clone":""),className:o.default.ITEM(!0,a===t.state.selectedItem),onClick:t.handleClickItem.bind(t,a,n)},u={};return t.props.centerMode&&"horizontal"===t.props.axis&&(u.style={minWidth:t.props.centerSlidePercentage+"%"}),r.default.createElement("li",b({},i,u),t.props.renderItem(n,{isSelected:a===t.state.selectedItem}))})):[]}},{key:"renderControls",value:function(){var e=this,t=this.props,n=t.showIndicators,a=t.labels,i=t.renderIndicator,o=t.children;return n?r.default.createElement("ul",{className:"control-dots"},r.Children.map(o,(function(t,n){return i&&i(e.changeItem(n),n===e.state.selectedItem,n,a.item)}))):null}},{key:"renderStatus",value:function(){return this.props.showStatus?r.default.createElement("p",{className:"carousel-status"},this.props.statusFormatter(this.state.selectedItem+1,r.Children.count(this.props.children))):null}},{key:"renderThumbs",value:function(){return this.props.showThumbs&&this.props.children&&0!==r.Children.count(this.props.children)?r.default.createElement(c.default,{ref:this.setThumbsRef,onSelectItem:this.handleClickThumb,selectedItem:this.state.selectedItem,transitionTime:this.props.transitionTime,thumbWidth:this.props.thumbWidth,labels:this.props.labels},this.props.renderThumbs(this.props.children)):null}},{key:"render",value:function(){var e=this;if(!this.props.children||0===r.Children.count(this.props.children))return null;var t="horizontal"===this.props.axis,n=this.props.showArrows&&r.Children.count(this.props.children)>1,a=n&&(this.state.selectedItem>0||this.props.infiniteLoop)||!1,c=n&&(this.state.selectedItem<r.Children.count(this.props.children)-1||this.props.infiniteLoop)||!1,s={},l=this.getPosition(this.state.selectedItem),f=(0,u.default)(l,"%",this.props.axis),d=this.props.transitionTime+"ms";s={WebkitTransform:f,MozTransform:f,MsTransform:f,OTransform:f,transform:f,msTransform:f},this.state.swiping||(s=v(v({},s),{},{WebkitTransitionDuration:d,MozTransitionDuration:d,MsTransitionDuration:d,OTransitionDuration:d,transitionDuration:d,msTransitionDuration:d}));var p=this.renderItems(!0),h=p.shift(),m=p.pop(),g={className:o.default.SLIDER(!0,this.state.swiping),onSwipeMove:this.onSwipeMove,onSwipeStart:this.onSwipeStart,onSwipeEnd:this.onSwipeEnd,style:s,tolerance:this.props.swipeScrollTolerance},y={};if(t){if(g.onSwipeLeft=this.onSwipeForward,g.onSwipeRight=this.onSwipeBackwards,this.props.dynamicHeight){var O=this.getVariableItemHeight(this.state.selectedItem);g.style.height=O||"auto",y.height=O||"auto"}}else g.onSwipeUp="natural"===this.props.verticalSwipe?this.onSwipeBackwards:this.onSwipeForward,g.onSwipeDown="natural"===this.props.verticalSwipe?this.onSwipeForward:this.onSwipeBackwards,g.style.height=this.state.itemSize,y.height=this.state.itemSize;return r.default.createElement("div",{className:o.default.ROOT(this.props.className),ref:this.setCarouselWrapperRef,tabIndex:0},r.default.createElement("div",{className:o.default.CAROUSEL(!0),style:{width:this.props.width}},this.props.renderArrowPrev(this.onClickPrev,a,this.props.labels.leftArrow),r.default.createElement("div",{className:o.default.WRAPPER(!0,this.props.axis),style:y},this.props.swipeable?r.default.createElement(i.default,b({tagName:"ul",innerRef:this.setListRef},g,{allowMouseEvents:this.props.emulateTouch}),this.props.infiniteLoop&&m,this.renderItems(),this.props.infiniteLoop&&h):r.default.createElement("ul",{className:o.default.SLIDER(!0,this.state.swiping),ref:function(t){return e.setListRef(t)},style:s},this.props.infiniteLoop&&m,this.renderItems(),this.props.infiniteLoop&&h)),this.props.renderArrowNext(this.onClickNext,c,this.props.labels.rightArrow),this.renderControls(),this.renderStatus()),this.renderThumbs())}}])&&m(t.prototype,n),f&&m(t,f),p}(r.default.Component);t.default=S,w(S,"displayName","Carousel"),w(S,"defaultProps",{axis:"horizontal",centerSlidePercentage:80,interval:3e3,labels:{leftArrow:"previous slide / item",rightArrow:"next slide / item",item:"slide item"},onClickItem:j,onClickThumb:j,onChange:j,onSwipeStart:function(){},onSwipeEnd:function(){},onSwipeMove:function(){},preventMovementUntilSwipeScrollTolerance:!1,renderArrowPrev:function(e,t,n){return r.default.createElement("button",{type:"button","aria-label":n,className:o.default.ARROW_PREV(!t),onClick:e})},renderArrowNext:function(e,t,n){return r.default.createElement("button",{type:"button","aria-label":n,className:o.default.ARROW_NEXT(!t),onClick:e})},renderIndicator:function(e,t,n,a){return r.default.createElement("li",{className:o.default.DOT(t),onClick:e,onKeyDown:e,value:n,key:n,role:"button",tabIndex:0,"aria-label":"".concat(a," ").concat(n+1)})},renderItem:function(e){return e},renderThumbs:function(e){var t=r.Children.map(e,(function(e){var t=e;if("img"!==e.type&&(t=r.Children.toArray(e.props.children).find((function(e){return"img"===e.type}))),t)return t}));return 0===t.filter((function(e){return e})).length?(console.warn("No images found! Can't build the thumb list without images. If you don't need thumbs, set showThumbs={false} in the Carousel. Note that it's not possible to get images rendered inside custom components. More info at https://github.com/leandrowd/react-responsive-carou

2sel/blob/master/TROUBLESHOOTING.md"),[]):t},statusFormatter:function(e,t){return"".concat(e," of ").concat(t)},selectedItem:0,showArrows:!0,showIndicators:!0,showStatus:!0,showThumbs:!0,stopOnHover:!0,swipeScrollTolerance:5,swipeable:!0,transitionTime:350,verticalSwipe:"standard",width:"100%"})},function(e,t,n){var r,a,i;a=[t,n(60),n(335)],void 0===(i="function"===typeof(r=function(e,t,n){"use strict";Object.defineProperty(e,"__esModule",{value:!0}),e.setHasSupportToCaptureOption=p;var r=i(t),a=i(n);function i(e){return e&&e.__esModule?e:{default:e}}var o=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e};function u(e,t){var n={};for(var r in e)t.indexOf(r)>=0||Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=e[r]);return n}function c(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}var s=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}();function l(e,t){if(!e)throw new ReferenceError("this hasn't been initialised - super() hasn't been called");return!t||"object"!==typeof t&&"function"!==typeof t?e:t}function f(e,t){if("function"!==typeof t&&null!==t)throw new TypeError("Super expression must either be null or a function, not "+typeof t);e.prototype=Object.create(t&&t.prototype,{constructor:{value:e,enumerable:!1,writable:!0,configurable:!0}}),t&&(Object.setPrototypeOf?Object.setPrototypeOf(e,t):e.__proto__=t)}var d=!1;function p(e){d=e}try{addEventListener("test",null,Object.defineProperty({},"capture",{get:function(){p(!0)}}))}catch(m){}function h(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{capture:!0};return d?e:e.capture}function v(e){if("touches"in e){var t=e.touches[0];return{x:t.pageX,y:t.pageY}}return{x:e.screenX,y:e.screenY}}var b=function(e){function t(){var e;c(this,t);for(var n=arguments.length,r=Array(n),a=0;a<n;a++)r[a]=arguments[a];var i=l(this,(e=t.__proto__||Object.getPrototypeOf(t)).call.apply(e,[this].concat(r)));return i._handleSwipeStart=i._handleSwipeStart.bind(i),i._handleSwipeMove=i._handleSwipeMove.bind(i),i._handleSwipeEnd=i._handleSwipeEnd.bind(i),i._onMouseDown=i._onMouseDown.bind(i),i._onMouseMove=i._onMouseMove.bind(i),i._onMouseUp=i._onMouseUp.bind(i),i._setSwiperRef=i._setSwiperRef.bind(i),i}return f(t,e),s(t,[{key:"componentDidMount",value:function(){this.swiper&&this.swiper.addEventListener("touchmove",this._handleSwipeMove,h({capture:!0,passive:!1}))}},{key:"componentWillUnmount",value:function(){this.swiper&&this.swiper.removeEventListener("touchmove",this._handleSwipeMove,h({capture:!0,passive:!1}))}},{key:"_onMouseDown",value:function(e){this.props.allowMouseEvents&&(this.mouseDown=!0,document.addEventListener("mouseup",this._onMouseUp),document.addEventListener("mousemove",this._onMouseMove),this._handleSwipeStart(e))}},{key:"_onMouseMove",value:function(e){this.mouseDown&&this._handleSwipeMove(e)}},{key:"_onMouseUp",value:function(e){this.mouseDown=!1,document.removeEventListener("mouseup",this._onMouseUp),document.removeEventListener("mousemove",this._onMouseMove),this._handleSwipeEnd(e)}},{key:"_handleSwipeStart",value:function(e){var t=v(e),n=t.x,r=t.y;this.moveStart={x:n,y:r},this.props.onSwipeStart(e)}},{key:"_handleSwipeMove",value:function(e){if(this.moveStart){var t=v(e),n=t.x,r=t.y,a=n-this.moveStart.x,i=r-this.moveStart.y;this.moving=!0,this.props.onSwipeMove({x:a,y:i},e)&&e.cancelable&&e.preventDefault(),this.movePosition={deltaX:a,deltaY:i}}}},{key:"_handleSwipeEnd",value:function(e){this.props.onSwipeEnd(e);var t=this.props.tolerance;this.moving&&this.movePosition&&(this.movePosition.deltaX<-t?this.props.onSwipeLeft(1,e):this.movePosition.deltaX>t&&this.props.onSwipeRight(1,e),this.movePosition.deltaY<-t?this.props.onSwipeUp(1,e):this.movePosition.deltaY>t&&this.props.onSwipeDown(1,e)),this.moveStart=null,this.moving=!1,this.movePosition=null}},{key:"_setSwiperRef",value:function(e){this.swiper=e,this.props.innerRef(e)}},{key:"render",value:function(){var e=this.props,t=(e.tagName,e.className),n=e.style,a=e.children,i=(e.allowMouseEvents,e.onSwipeUp,e.onSwipeDown,e.onSwipeLeft,e.onSwipeRight,e.onSwipeStart,e.onSwipeMove,e.onSwipeEnd,e.innerRef,e.tolerance,u(e,["tagName","className","style","children","allowMouseEvents","onSwipeUp","onSwipeDown","onSwipeLeft","onSwipeRight","onSwipeStart","onSwipeMove","onSwipeEnd","innerRef","tolerance"]));return r.default.createElement(this.props.tagName,o({ref:this._setSwiperRef,onMouseDown:this._onMouseDown,onTouchStart:this._handleSwipeStart,onTouchEnd:this._handleSwipeEnd,className:t,style:n},i),a)}}]),t}(t.Component);b.displayName="ReactSwipe",b.propTypes={tagName:a.default.string,className:a.default.string,style:a.default.object,children:a.default.node,allowMouseEvents:a.default.bool,onSwipeUp:a.default.func,onSwipeDown:a.default.func,onSwipeLeft:a.default.func,onSwipeRight:a.default.func,onSwipeStart:a.default.func,onSwipeMove:a.default.func,onSwipeEnd:a.default.func,innerRef:a.default.func,tolerance:a.default.number.isRequired},b.defaultProps={tagName:"div",allowMouseEvents:!1,onSwipeUp:function(){},onSwipeDown:function(){},onSwipeLeft:function(){},onSwipeRight:function(){},onSwipeStart:function(){},onSwipeMove:function(){},onSwipeEnd:function(){},innerRef:function(){},tolerance:0},e.default=b})?r.apply(t,a):r)||(e.exports=i)},function(e,t,n){e.exports=n(336)()},function(e,t,n){"use strict";var r=n(337);function a(){}function i(){}i.resetWarningCache=a,e.exports=function(){function e(e,t,n,a,i,o){if(o!==r){var u=new Error("Calling PropTypes validators directly is not supported by the `prop-types` package. 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